index int64 | repo_name string | branch_name string | path string | content string | import_graph string |
|---|---|---|---|---|---|
60,271 | dwtcourses/emora_stdm | refs/heads/master | /emora_stdm/test_state_transition_dialogue_manager/test_natex_nlg.py |
import pytest
from emora_stdm.state_transition_dialogue_manager.natex_nlg import NatexNLG
def test_disjunction():
ng = NatexNLG('this is {a, the} test case')
outputs = set()
for i in range(100):
outputs.add(ng.generate())
assert outputs == {'this is a test case', 'this is the test case'}
def test_rigid_sequence():
ng = NatexNLG('[!this, test, case]')
assert ng.generate() == 'this test case'
def test_reference():
v = {'A': 'apple'}
ng = NatexNLG('i like $A')
assert ng.generate(vars=v) == 'i like apple'
def test_assignment():
v = {}
ng = NatexNLG('i like $X={apple, banana}')
ng.generate(vars=v, debugging=False)
assert v['X'] == 'apple' or v['X'] == 'banana'
def test_backreference():
v = {'X': 'apple'}
ng = NatexNLG('$X is $X=banana')
assert ng.generate(vars=v) == 'apple is banana'
assert v['X'] == 'banana'
ng = NatexNLG('$X=apple, is $X')
assert ng.generate(vars=v) == 'apple is apple'
def test_completion():
v = {'X': 'apple'}
natex = NatexNLG('i have $X in my $Y')
assert natex.generate(vars=v) is None
natex = NatexNLG('i have $X')
assert not natex.is_complete()
def SIMPLE(ngrams, vars, args):
return {'foo', 'bar', 'bat', 'baz'}
def HAPPY(ngrams, vars, args):
if ngrams & {'yay', 'hooray', 'happy', 'good', 'nice', 'love'}:
vars['SENTIMENT'] = 'happy'
return True
else:
return False
def FIRSTS(ngrams, vars, args):
firsts = ''
for arg in args:
firsts += arg[0]
return {firsts, firsts[::-1]}
def SET(ngrams, vars, args):
return set(args)
def INTER(ngrams, vars, args):
return set.intersection(*args)
macros = {'SIMPLE': SIMPLE, 'HAPPY': HAPPY, 'FIRSTS': FIRSTS, 'INTER': INTER, 'SET': SET}
def test_simple_macro():
natex = NatexNLG('i have a #SIMPLE', macros=macros)
forms = set()
for i in range(100):
forms.add(natex.generate())
assert forms == {'i have a foo', 'i have a bar', 'i have a bat', 'i have a baz'}
def test_empty_string_nlg():
natex = NatexNLG('')
assert natex.generate() == ''
################################ Bugs ##########################################
# test for markup in nlg literal
def test_nlg_markup():
natex = NatexNLG('`She said, "hi there!" 10. <tag>`')
assert natex.generate() == 'She said, "hi there!" 10. <tag>' | {"/emora_stdm/state_transition_dialogue_manager/process_wordnet_data.py": ["/emora_stdm/state_transition_dialogue_manager/wordnet.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/state_transition_dialogue_manager/macro.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/modules/ontology_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/wordnet.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_utilities.py": ["/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/modules/multiple_components_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_composite_dialogue_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/memory.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/database.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/settings.py", "/emora_stdm/state_transition_dialogue_manager/stochastic_options.py", "/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py", "/emora_stdm/state_transition_dialogue_manager/state.py", "/emora_stdm/state_transition_dialogue_manager/update_rules.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_json_style_dialogue_flow.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_test_natex.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_natex_nlg.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/modules/macro_definition_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/modules/hello_world_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/chat_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py"], "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py": ["/emora_stdm/state_transition_dialogue_manager/stochastic_options.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py"], "/emora_stdm/modules/update_rules_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_update_rules.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py": ["/emora_stdm/state_transition_dialogue_manager/database.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/__init__.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/update_rules.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_settings.py": ["/emora_stdm/state_transition_dialogue_manager/settings.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_stochastic_options.py": ["/emora_stdm/state_transition_dialogue_manager/stochastic_options.py"], "/emora_stdm/modules/natex_compilation.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_stack.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py"], "/emora_stdm/modules/sigdial_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_natex_nlu.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py"], "/emora_stdm/modules/interoperability_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/update_rules.py": ["/emora_stdm/state_transition_dialogue_manager/update_rule.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/modules/reasoning_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/macros_common.py": ["/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/memory.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/wordnet.py"], "/emora_stdm/state_transition_dialogue_manager/update_rule.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_state.py": ["/emora_stdm/state_transition_dialogue_manager/state.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_macros.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_knowledge_base.py": ["/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_composite_dialogue_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_ngrams.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/state_transition_dialogue_manager/natex_common.py": ["/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py"]} |
60,272 | dwtcourses/emora_stdm | refs/heads/master | /emora_stdm/modules/macro_definition_example.py |
from emora_stdm import Macro
class Repeated(Macro):
def run(self, ngrams, vars, args):
word_to_repeat = args[0]
number_of_repetitions = int(args[1])
return ' '.join([word_to_repeat] * number_of_repetitions)
from emora_stdm import NatexNLU
if __name__ == '__main__':
natex = NatexNLU('oh hello #Rep(there, 3) how are you', macros={'Rep': Repeated()})
assert natex.match('oh hello there there there how are you', debugging=True) | {"/emora_stdm/state_transition_dialogue_manager/process_wordnet_data.py": ["/emora_stdm/state_transition_dialogue_manager/wordnet.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/state_transition_dialogue_manager/macro.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/modules/ontology_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/wordnet.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_utilities.py": ["/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/modules/multiple_components_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_composite_dialogue_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/memory.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/database.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/settings.py", "/emora_stdm/state_transition_dialogue_manager/stochastic_options.py", "/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py", "/emora_stdm/state_transition_dialogue_manager/state.py", "/emora_stdm/state_transition_dialogue_manager/update_rules.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_json_style_dialogue_flow.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_test_natex.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_natex_nlg.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/modules/macro_definition_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/modules/hello_world_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/chat_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py"], "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py": ["/emora_stdm/state_transition_dialogue_manager/stochastic_options.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py"], "/emora_stdm/modules/update_rules_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_update_rules.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py": ["/emora_stdm/state_transition_dialogue_manager/database.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/__init__.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/update_rules.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_settings.py": ["/emora_stdm/state_transition_dialogue_manager/settings.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_stochastic_options.py": ["/emora_stdm/state_transition_dialogue_manager/stochastic_options.py"], "/emora_stdm/modules/natex_compilation.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_stack.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py"], "/emora_stdm/modules/sigdial_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_natex_nlu.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py"], "/emora_stdm/modules/interoperability_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/update_rules.py": ["/emora_stdm/state_transition_dialogue_manager/update_rule.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/modules/reasoning_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/macros_common.py": ["/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/memory.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/wordnet.py"], "/emora_stdm/state_transition_dialogue_manager/update_rule.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_state.py": ["/emora_stdm/state_transition_dialogue_manager/state.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_macros.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_knowledge_base.py": ["/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_composite_dialogue_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_ngrams.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/state_transition_dialogue_manager/natex_common.py": ["/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py"]} |
60,273 | dwtcourses/emora_stdm | refs/heads/master | /emora_stdm/modules/hello_world_example.py |
from emora_stdm import DialogueFlow
chatbot = DialogueFlow('start')
transitions = {
'state': 'start',
'"Hello. How are you?"': {
'[{good, okay, fine}]': {
'"Good. I am doing well too."': {
'error': {
'"See you later!"': 'end'
}
}
},
'error': {
'"Well I hope your day gets better!"': {
'error': {
'"Bye!"': 'end'
}
}
}
}
}
chatbot.load_transitions(transitions)
chatbot = DialogueFlow('start')
transitions = {
'"Hello."': {
'#INT(Hi! How are you?)': {
'"Good. How are you?"': {
'[{good, great, okay}]': {
'"That\'s great!" Bye!': 'end'
},
'{[bad, horrible, awful]}': {
'"Oh no! Bye!"': 'end'
},
'error': {
'"I do not understand! Bye!"': 'end'
}
}
},
'#INT(Tell me the weather.)': {
'"It is sunny out!"': {
'error': {
'"Bye!"': 'end'
}
}
}
}
}
chatbot.load_transitions(transitions)
chatbot = DialogueFlow('start')
transitions = {
'state': 'start',
'"Hello!"': {
'#INT(Hi! How are you?)': {
'"Good! Bye bye!"': 'end'
},
'#INT(Tell me about the weather.)': {
'"It is sunny!"': 'end'
}
}
}
chatbot.load_transitions(transitions)
if __name__ == '__main__':
chatbot.run() | {"/emora_stdm/state_transition_dialogue_manager/process_wordnet_data.py": ["/emora_stdm/state_transition_dialogue_manager/wordnet.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/state_transition_dialogue_manager/macro.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/modules/ontology_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/wordnet.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_utilities.py": ["/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/modules/multiple_components_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_composite_dialogue_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/memory.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/database.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/settings.py", "/emora_stdm/state_transition_dialogue_manager/stochastic_options.py", "/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py", "/emora_stdm/state_transition_dialogue_manager/state.py", "/emora_stdm/state_transition_dialogue_manager/update_rules.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_json_style_dialogue_flow.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_test_natex.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_natex_nlg.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/modules/macro_definition_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/modules/hello_world_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/chat_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py"], "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py": ["/emora_stdm/state_transition_dialogue_manager/stochastic_options.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py"], "/emora_stdm/modules/update_rules_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_update_rules.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py": ["/emora_stdm/state_transition_dialogue_manager/database.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/__init__.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/update_rules.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_settings.py": ["/emora_stdm/state_transition_dialogue_manager/settings.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_stochastic_options.py": ["/emora_stdm/state_transition_dialogue_manager/stochastic_options.py"], "/emora_stdm/modules/natex_compilation.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_stack.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py"], "/emora_stdm/modules/sigdial_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_natex_nlu.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py"], "/emora_stdm/modules/interoperability_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/update_rules.py": ["/emora_stdm/state_transition_dialogue_manager/update_rule.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/modules/reasoning_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/macros_common.py": ["/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/memory.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/wordnet.py"], "/emora_stdm/state_transition_dialogue_manager/update_rule.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_state.py": ["/emora_stdm/state_transition_dialogue_manager/state.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_macros.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_knowledge_base.py": ["/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_composite_dialogue_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_ngrams.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/state_transition_dialogue_manager/natex_common.py": ["/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py"]} |
60,274 | dwtcourses/emora_stdm | refs/heads/master | /emora_stdm/state_transition_dialogue_manager/chat_flow.py |
from emora_stdm import DialogueFlow
import emora_stdm.state_transition_dialogue_manager.natex_common as natexes
class ChatFlow(DialogueFlow):
def __init__(self, *json_files):
DialogueFlow.__init__(self, 'sr', initial_speaker=DialogueFlow.Speaker.SYSTEM)
self.add_state('sr', system_multi_hop=True)
#self.add_state('shortcut', system_multi_hop=True)
self.add_state('ur', 'ur_error', user_multi_hop=True)
self.add_state('ur_error', 'ur_error_statement', user_multi_hop=True)
self.add_user_transition('ur_error', 'ur_error_question', natexes.question)
self.add_state('ur_error_statement')
self.add_system_transition('ur_error_statement', 'sr', '{"Yeah." "For sure." "Yep." "Right." "Sure." "Gotcha."}', score=1.0)
#self.add_system_transition('ur_error_statement', 'shortcut', '#TOKLIMIT(2)', score=2.0)
#self.add_system_transition('shortcut', 'sr', '""')
self.add_system_transition('ur_error_question', 'sr',
'{"I\'m not sure about that." "That\'s a tough one." "I\'m not sure actually." "Huh, I don\'t know."}')
self.add_state('dinit', system_multi_hop=True)
self.add_system_transition('dinit', 'sr', '')
for json_file in json_files:
DialogueFlow.knowledge_base(self).load_json_file(json_file)
| {"/emora_stdm/state_transition_dialogue_manager/process_wordnet_data.py": ["/emora_stdm/state_transition_dialogue_manager/wordnet.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/state_transition_dialogue_manager/macro.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/modules/ontology_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/wordnet.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_utilities.py": ["/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/modules/multiple_components_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_composite_dialogue_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/memory.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/database.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/settings.py", "/emora_stdm/state_transition_dialogue_manager/stochastic_options.py", "/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py", "/emora_stdm/state_transition_dialogue_manager/state.py", "/emora_stdm/state_transition_dialogue_manager/update_rules.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_json_style_dialogue_flow.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_test_natex.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_natex_nlg.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/modules/macro_definition_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/modules/hello_world_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/chat_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py"], "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py": ["/emora_stdm/state_transition_dialogue_manager/stochastic_options.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py"], "/emora_stdm/modules/update_rules_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_update_rules.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py": ["/emora_stdm/state_transition_dialogue_manager/database.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/__init__.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/update_rules.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_settings.py": ["/emora_stdm/state_transition_dialogue_manager/settings.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_stochastic_options.py": ["/emora_stdm/state_transition_dialogue_manager/stochastic_options.py"], "/emora_stdm/modules/natex_compilation.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_stack.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py"], "/emora_stdm/modules/sigdial_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_natex_nlu.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py"], "/emora_stdm/modules/interoperability_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/update_rules.py": ["/emora_stdm/state_transition_dialogue_manager/update_rule.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/modules/reasoning_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/macros_common.py": ["/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/memory.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/wordnet.py"], "/emora_stdm/state_transition_dialogue_manager/update_rule.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_state.py": ["/emora_stdm/state_transition_dialogue_manager/state.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_macros.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_knowledge_base.py": ["/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_composite_dialogue_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_ngrams.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/state_transition_dialogue_manager/natex_common.py": ["/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py"]} |
60,275 | dwtcourses/emora_stdm | refs/heads/master | /emora_stdm/state_transition_dialogue_manager/natex_nlg.py |
import regex
from lark import Lark, Transformer, Tree, Visitor, Token
from emora_stdm.state_transition_dialogue_manager.stochastic_options import StochasticOptions
from emora_stdm.state_transition_dialogue_manager.natex_nlu import NatexNLU
from copy import deepcopy
import sys
import traceback
class NatexNLG:
def __init__(self, expression, macros=None, ngrams=None):
self._ngrams = ngrams
if macros is None:
self._macros = {}
else:
self._macros = macros
if isinstance(expression, str):
if expression == '':
expression = '""'
self._expression = expression
elif isinstance(expression, list) or isinstance(expression, set):
item = next(iter(expression))
if isinstance(item, str):
self._expression = '{' + ', '.join(expression) + '}'
elif isinstance(item, NatexNLG):
raise NotImplementedError()
elif isinstance(expression, NatexNLG):
self._expression = expression.expression()
self._macros = dict(expression.macros())
self._macros.update(macros)
self._compiler = NatexNLG.Compiler(self._expression)
def generate(self, ngrams=None, vars=None, macros=None, debugging=False):
if vars is None:
vars = {}
original_vars = vars
vars = dict(vars)
if macros is not None:
for k, v in self._macros.items():
if k not in macros:
macros[k] = v
else:
macros = self._macros
if ngrams is None:
ngrams = self._ngrams
if debugging:
print('NatexNlg generation:')
if ngrams is not None:
print(' {:15} {}'.format('Ngrams', ', '.join(ngrams)))
print(' {:15} {}'.format('Macros', ' '.join(macros.keys())))
print(' {:15} {}'.format('Vars', ', '.join([k + '=' + str(v) for k, v in vars.items()])))
print(' {:15} {}'.format('Steps', ' ' + '-' * 60))
print(' {:15} {}'.format('Original', self._expression))
generation = self._compiler.compile(ngrams, vars, macros, debugging)
if self.is_complete(generation):
original_vars.update(vars)
return generation
else:
return None
def is_complete(self, string=None):
if string is None:
string = self._expression
if '_' in string:
return False
return bool(regex.fullmatch(r'[^$]*', string))
def precache(self):
self._compiler.parse()
def ngrams(self):
return self._ngrams
def expression(self):
return self._expression
def macros(self):
return self._macros
def __add__(self, other):
if isinstance(other, str):
return NatexNLG('[!' + self._expression + ', ' + other + ']',
macros=self._macros, ngrams=self._ngrams)
elif isinstance(other, NatexNLG):
return NatexNLG('[!' + self._expression + ', ' + other._expression + ']',
macros=self._macros, ngrams=self._ngrams)
return self
def __radd__(self, other):
if isinstance(other, str):
return NatexNLG('[!' + other + ', ' + self._expression + ']',
macros=self._macros, ngrams=self._ngrams)
elif isinstance(other, NatexNLG):
return NatexNLG('[!' + other._expression + ', ' + self._expression + ']',
macros=self._macros, ngrams=self._ngrams)
def __str__(self):
return 'NatexNlg({})'.format(self._expression)
def __repr__(self):
return str(self)
class Compiler(Visitor):
grammar = r"""
start: term (","? " "? term)*
term: rigid_sequence | disjunction | assignment | reference | macro | literal
rigid_sequence: "[!" " "? term (","? " "? term)* "]"
disjunction: "{" term (","? " "? term)* "}"
reference: "$" symbol
assignment: "$" symbol "=" term
macro: "#" symbol ( "(" macro_arg? (","? " "? macro_arg)* ")" )?
macro_arg: macro_arg_string | macro_literal | macro
macro_literal: /[^#), `][^#),`]*/
macro_arg_string: "`" /[^`]+/ "`"
literal: /[a-z_A-Z@.0-9:]+( +[a-z_A-Z@.0-9:]+)*/ | "\"" /[^\"]+/ "\"" | "\"" "\"" | "`" /[^`]+/ "`"
symbol: /[a-z_A-Z.0-9]+/
"""
parser = Lark(grammar, parser='earley')
def __init__(self, natex):
self._natex = natex
self._parsed_tree = None
self._tree = deepcopy(self._parsed_tree)
self._vars = None
self._ngrams = None
self._macros = None
self._assignments = {}
self._debugging = False
self._failed = False
def parse(self):
try:
self._parsed_tree = self.parser.parse(self._natex)
except Exception as e:
print('Error parsing {}'.format(self._natex))
raise e
def compile(self, ngrams, vars, macros, debugging=False):
if self._parsed_tree is None:
self.parse()
self._tree = deepcopy(self._parsed_tree)
self._assignments = {}
self._ngrams = ngrams
self._vars = vars
self._macros = macros
self._debugging = debugging
self._failed = False
generated = self.visit(self._tree).children[0]
self._tree = None
self._ngrams = None
self._vars = None
self._macros = None
self._assignments = {}
if self._debugging:
print(' {:15} {}'.format('Final', generated))
return generated
def assignments(self):
return self._assignments
def to_strings(self, args):
strings = []
for arg in args:
if isinstance(arg, str):
strings.append(arg)
elif isinstance(arg, set):
if arg:
strings.append(StochasticOptions(arg).select())
else:
strings.append('_EMPTY_SET_')
elif isinstance(arg, bool):
if arg:
strings.append('')
else:
strings.append('_FALSE_')
elif arg is None:
strings.append('')
return strings
def rigid_sequence(self, tree):
args = [x.children[0] for x in tree.children]
tree.data = 'compiled'
tree.children[0] = ' '.join(self.to_strings(args))
if self._debugging: print(' {:15} {}'.format('Rigid sequence', self._current_compilation(self._tree)))
def disjunction(self, tree):
args = [x.children[0] for x in tree.children]
tree.data = 'compiled'
tree.children[0] = StochasticOptions(self.to_strings(args)).select()
if self._debugging: print(' {:15} {}'.format('Disjunction', self._current_compilation(self._tree)))
def reference(self, tree):
args = [x.children[0] for x in tree.children]
tree.data = 'compiled'
symbol = args[0]
if symbol in self._assignments:
value = self._assignments[symbol]
elif symbol in self._vars:
value = self._vars[symbol]
else:
value = None
self._failed = True
if value == 'None':
value = None
self._failed = True
tree.children[0] = value
if self._debugging: print(' {:15} {}'.format('Var reference', self._current_compilation(self._tree)))
def assignment(self, tree):
args = [x.children[0] for x in tree.children]
tree.data = 'compiled'
value = self.to_strings([args[1]])[0]
self._assignments[args[0]] = value
self._vars[args[0]] = value
tree.children[0] = value
if self._debugging: print(' {:15} {}'.format('Assignment', self._current_compilation(self._tree)))
def macro(self, tree):
args = [x.children[0] for x in tree.children]
tree.data = 'compiled'
symbol = args[0]
macro_args = args[1:]
for i in range(len(macro_args)):
if isinstance(macro_args[i], Token):
macro_args[i] = str(macro_args[i])
if symbol in self._macros:
macro = self._macros[symbol]
try:
tree.children[0] = macro(self._ngrams, self._vars, macro_args)
except Exception as e:
print('ERROR: Macro {} raised exception {}'.format(symbol, repr(e)))
traceback.print_exc(file=sys.stdout)
tree.children[0] = '_MACRO_EXCEPTION_'
if self._debugging: print(' {:15} {}'.format(symbol, self._current_compilation(self._tree)))
else:
print('ERROR: Macro {} not found'.format(symbol))
tree.children[0] = '_MACRO_NOT_FOUND_'
def macro_arg(self, tree):
tree.children[0] = tree.children[0].children[0]
tree.data = 'compiled'
def macro_literal(self, tree):
tree.data = 'compiled'
def literal(self, tree):
args = tree.children
if args:
tree.data = 'compiled'
(literal,) = args
tree.children[0] = literal
else:
tree.children.append('')
def symbol(self, tree):
args = tree.children
tree.data = 'compiled'
(symbol,) = args
tree.children[0] = symbol
def term(self, tree):
args = [x.children[0] for x in tree.children]
tree.data = 'compiled'
(term,) = args
tree.children[0] = term
def start(self, tree):
args = [x.children[0] for x in tree.children]
tree.data = 'compiled'
if self._failed:
tree.children[0] = '_SOME_VAR(S)_NOT_FOUND_'
else:
tree.children[0] = ' '.join(self.to_strings(args))
def _current_compilation(self, tree):
class DisplayTransformer(Transformer):
def rigid_sequence(self, args):
return '[!' + ', '.join([str(arg) for arg in args]) + ']'
def disjunction(self, args):
return '{' + ', '.join([str(arg) for arg in args]) + '}'
def reference(self, args):
return '$' + args[0]
def assignment(self, args):
return '${}={}'.format(*args)
def macro(self, args):
return '#' + args[0] + '(' + ', '.join([str(arg) for arg in args[1:]]) + ')'
def literal(self, args):
return str(args[0])
def macro_arg(self, args):
return str(args[0])
def macro_literal(self, args):
return str(args[0])
def symbol(self, args):
return str(args[0])
def term(self, args):
return str(args[0])
def start(self, args):
return ', '.join(args)
def compiled(self, args):
return str(args[0])
if not isinstance(tree, Tree):
return str(tree)
else:
return DisplayTransformer().transform(tree)
| {"/emora_stdm/state_transition_dialogue_manager/process_wordnet_data.py": ["/emora_stdm/state_transition_dialogue_manager/wordnet.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/state_transition_dialogue_manager/macro.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/modules/ontology_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/wordnet.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_utilities.py": ["/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/modules/multiple_components_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_composite_dialogue_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/memory.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/database.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/settings.py", "/emora_stdm/state_transition_dialogue_manager/stochastic_options.py", "/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py", "/emora_stdm/state_transition_dialogue_manager/state.py", "/emora_stdm/state_transition_dialogue_manager/update_rules.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_json_style_dialogue_flow.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_test_natex.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_natex_nlg.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/modules/macro_definition_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/modules/hello_world_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/chat_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py"], "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py": ["/emora_stdm/state_transition_dialogue_manager/stochastic_options.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py"], "/emora_stdm/modules/update_rules_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_update_rules.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py": ["/emora_stdm/state_transition_dialogue_manager/database.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/__init__.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/update_rules.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_settings.py": ["/emora_stdm/state_transition_dialogue_manager/settings.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_stochastic_options.py": ["/emora_stdm/state_transition_dialogue_manager/stochastic_options.py"], "/emora_stdm/modules/natex_compilation.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_stack.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py"], "/emora_stdm/modules/sigdial_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_natex_nlu.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py"], "/emora_stdm/modules/interoperability_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/update_rules.py": ["/emora_stdm/state_transition_dialogue_manager/update_rule.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/modules/reasoning_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/macros_common.py": ["/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/memory.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/wordnet.py"], "/emora_stdm/state_transition_dialogue_manager/update_rule.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_state.py": ["/emora_stdm/state_transition_dialogue_manager/state.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_macros.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_knowledge_base.py": ["/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_composite_dialogue_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_ngrams.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/state_transition_dialogue_manager/natex_common.py": ["/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py"]} |
60,276 | dwtcourses/emora_stdm | refs/heads/master | /_globals.py | import os
PATHDIR = os.path.join('emora','_flows', '__***__')
ACTDIR = os.path.join('emora','_activity', '__***__')
CORONADIR = os.path.join('emora','_coronavirus', '__***__')
HOBBYDIR = os.path.join('emora','_hobby', '__***__')
NEWSDIR = os.path.join('emora','_news', '__***__')
OLDLIFEDIR = os.path.join('emora','_old_life', '__***__')
OPENINGDIR = os.path.join('emora','_openings', '__***__')
PETSDIR = os.path.join('emora','_pets', '__***__')
STOPDIR = os.path.join('emora','_stop', '__***__')
TRAVELDIR = os.path.join('emora','_travel', '__***__')
VRDIR = os.path.join('emora','_vr', '__***__') | {"/emora_stdm/state_transition_dialogue_manager/process_wordnet_data.py": ["/emora_stdm/state_transition_dialogue_manager/wordnet.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/state_transition_dialogue_manager/macro.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/modules/ontology_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/wordnet.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_utilities.py": ["/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/modules/multiple_components_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_composite_dialogue_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/memory.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/database.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/settings.py", "/emora_stdm/state_transition_dialogue_manager/stochastic_options.py", "/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py", "/emora_stdm/state_transition_dialogue_manager/state.py", "/emora_stdm/state_transition_dialogue_manager/update_rules.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_json_style_dialogue_flow.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_test_natex.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_natex_nlg.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/modules/macro_definition_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/modules/hello_world_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/chat_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py"], "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py": ["/emora_stdm/state_transition_dialogue_manager/stochastic_options.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py"], "/emora_stdm/modules/update_rules_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_update_rules.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py": ["/emora_stdm/state_transition_dialogue_manager/database.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/__init__.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/update_rules.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_settings.py": ["/emora_stdm/state_transition_dialogue_manager/settings.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_stochastic_options.py": ["/emora_stdm/state_transition_dialogue_manager/stochastic_options.py"], "/emora_stdm/modules/natex_compilation.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_stack.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py"], "/emora_stdm/modules/sigdial_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_natex_nlu.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py"], "/emora_stdm/modules/interoperability_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/update_rules.py": ["/emora_stdm/state_transition_dialogue_manager/update_rule.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/modules/reasoning_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/macros_common.py": ["/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/memory.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/wordnet.py"], "/emora_stdm/state_transition_dialogue_manager/update_rule.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_state.py": ["/emora_stdm/state_transition_dialogue_manager/state.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_macros.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_knowledge_base.py": ["/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_composite_dialogue_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_ngrams.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/state_transition_dialogue_manager/natex_common.py": ["/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py"]} |
60,277 | dwtcourses/emora_stdm | refs/heads/master | /emora_stdm/modules/update_rules_example.py |
from emora_stdm import DialogueFlow
system = DialogueFlow('start', initial_speaker=DialogueFlow.Speaker.USER)
system.load_transitions({'state': 'start', 'error': {'` `': {'score': -1, 'state': 'start'}}})
system.load_update_rules({
'[news]': '`Coronavirus, argh!` (1)',
'[{movie, movies}]': '`Avengers is a good one.` (1)',
'/.*/ (0.1)': '`I\'m not sure I understand.` (1)',
})
if __name__ == '__main__':
system.run() | {"/emora_stdm/state_transition_dialogue_manager/process_wordnet_data.py": ["/emora_stdm/state_transition_dialogue_manager/wordnet.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/state_transition_dialogue_manager/macro.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/modules/ontology_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/wordnet.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_utilities.py": ["/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/modules/multiple_components_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_composite_dialogue_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/memory.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/database.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/settings.py", "/emora_stdm/state_transition_dialogue_manager/stochastic_options.py", "/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py", "/emora_stdm/state_transition_dialogue_manager/state.py", "/emora_stdm/state_transition_dialogue_manager/update_rules.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_json_style_dialogue_flow.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_test_natex.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_natex_nlg.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/modules/macro_definition_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/modules/hello_world_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/chat_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py"], "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py": ["/emora_stdm/state_transition_dialogue_manager/stochastic_options.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py"], "/emora_stdm/modules/update_rules_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_update_rules.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py": ["/emora_stdm/state_transition_dialogue_manager/database.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/__init__.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/update_rules.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_settings.py": ["/emora_stdm/state_transition_dialogue_manager/settings.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_stochastic_options.py": ["/emora_stdm/state_transition_dialogue_manager/stochastic_options.py"], "/emora_stdm/modules/natex_compilation.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_stack.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py"], "/emora_stdm/modules/sigdial_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_natex_nlu.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py"], "/emora_stdm/modules/interoperability_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/update_rules.py": ["/emora_stdm/state_transition_dialogue_manager/update_rule.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/modules/reasoning_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/macros_common.py": ["/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/memory.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/wordnet.py"], "/emora_stdm/state_transition_dialogue_manager/update_rule.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_state.py": ["/emora_stdm/state_transition_dialogue_manager/state.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_macros.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_knowledge_base.py": ["/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_composite_dialogue_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_ngrams.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/state_transition_dialogue_manager/natex_common.py": ["/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py"]} |
60,278 | dwtcourses/emora_stdm | refs/heads/master | /setup.py | import setuptools
with open("README.md", "r") as fh:
long_description = fh.read()
setuptools.setup(
name='emora-stdm',
version='1.95',
scripts=[],
author="James Finch",
author_email="jdfinch@emory.edu",
description="Library for creating state-machine-based chatbots.",
long_description=long_description,
long_description_content_type="text/markdown",
url="https://github.com/emora-chat/EmoraSTDM.git",
packages=setuptools.find_packages(),
install_requires=[
"structpy==0.3",
"lark-parser",
"regex",
"nltk",
"importlib_resources",
"pytz",
"spacy",
"dill",
"pathos"
],
classifiers=[
"Programming Language :: Python :: 3",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
],
package_data={
'emora_stdm': ['state_transition_dialogue_manager/data/*.json']
},
include_package_data=True
)
| {"/emora_stdm/state_transition_dialogue_manager/process_wordnet_data.py": ["/emora_stdm/state_transition_dialogue_manager/wordnet.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/state_transition_dialogue_manager/macro.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/modules/ontology_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/wordnet.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_utilities.py": ["/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/modules/multiple_components_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_composite_dialogue_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/memory.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/database.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/settings.py", "/emora_stdm/state_transition_dialogue_manager/stochastic_options.py", "/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py", "/emora_stdm/state_transition_dialogue_manager/state.py", "/emora_stdm/state_transition_dialogue_manager/update_rules.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_json_style_dialogue_flow.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_test_natex.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_natex_nlg.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/modules/macro_definition_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/modules/hello_world_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/chat_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py"], "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py": ["/emora_stdm/state_transition_dialogue_manager/stochastic_options.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py"], "/emora_stdm/modules/update_rules_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_update_rules.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py": ["/emora_stdm/state_transition_dialogue_manager/database.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/__init__.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/update_rules.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_settings.py": ["/emora_stdm/state_transition_dialogue_manager/settings.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_stochastic_options.py": ["/emora_stdm/state_transition_dialogue_manager/stochastic_options.py"], "/emora_stdm/modules/natex_compilation.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_stack.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py"], "/emora_stdm/modules/sigdial_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_natex_nlu.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py"], "/emora_stdm/modules/interoperability_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/update_rules.py": ["/emora_stdm/state_transition_dialogue_manager/update_rule.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/modules/reasoning_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/macros_common.py": ["/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/memory.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/wordnet.py"], "/emora_stdm/state_transition_dialogue_manager/update_rule.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_state.py": ["/emora_stdm/state_transition_dialogue_manager/state.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_macros.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_knowledge_base.py": ["/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_composite_dialogue_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_ngrams.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/state_transition_dialogue_manager/natex_common.py": ["/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py"]} |
60,279 | dwtcourses/emora_stdm | refs/heads/master | /emora_stdm/state_transition_dialogue_manager/state.py |
from enum import Enum
class State(str):
def __new__(cls, other):
if isinstance(other, tuple):
return tuple(super(State, cls).__new__(cls, x) for x in other)
else:
return super(State, cls).__new__(cls, other)
def __eq__(self, other):
if isinstance(other, Enum):
return str.__eq__(self, str(other))
else:
return str.__eq__(self, other)
def __hash__(self):
return str.__hash__(self)
| {"/emora_stdm/state_transition_dialogue_manager/process_wordnet_data.py": ["/emora_stdm/state_transition_dialogue_manager/wordnet.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/state_transition_dialogue_manager/macro.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/modules/ontology_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/wordnet.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_utilities.py": ["/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/modules/multiple_components_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_composite_dialogue_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/memory.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/database.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/settings.py", "/emora_stdm/state_transition_dialogue_manager/stochastic_options.py", "/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py", "/emora_stdm/state_transition_dialogue_manager/state.py", "/emora_stdm/state_transition_dialogue_manager/update_rules.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_json_style_dialogue_flow.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_test_natex.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_natex_nlg.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/modules/macro_definition_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/modules/hello_world_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/chat_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py"], "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py": ["/emora_stdm/state_transition_dialogue_manager/stochastic_options.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py"], "/emora_stdm/modules/update_rules_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_update_rules.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py": ["/emora_stdm/state_transition_dialogue_manager/database.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/__init__.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/update_rules.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_settings.py": ["/emora_stdm/state_transition_dialogue_manager/settings.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_stochastic_options.py": ["/emora_stdm/state_transition_dialogue_manager/stochastic_options.py"], "/emora_stdm/modules/natex_compilation.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_stack.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py"], "/emora_stdm/modules/sigdial_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_natex_nlu.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py"], "/emora_stdm/modules/interoperability_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/update_rules.py": ["/emora_stdm/state_transition_dialogue_manager/update_rule.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/modules/reasoning_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/macros_common.py": ["/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/memory.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/wordnet.py"], "/emora_stdm/state_transition_dialogue_manager/update_rule.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_state.py": ["/emora_stdm/state_transition_dialogue_manager/state.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_macros.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_knowledge_base.py": ["/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_composite_dialogue_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_ngrams.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/state_transition_dialogue_manager/natex_common.py": ["/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py"]} |
60,280 | dwtcourses/emora_stdm | refs/heads/master | /emora_stdm/test_state_transition_dialogue_manager/test_update_rules.py |
import pytest
from emora_stdm import UpdateRules
def IF(ngrams, vars, args):
for arg in args:
var, val = arg.split('=')
if var not in vars or vars[var] != val:
return False
return True
def SET(ngrams, vars, args):
for arg in args:
var, val = arg.split('=')
vars[var] = val
def test_update_rules():
vars = {}
rules = UpdateRules(vars=vars, macros={'IF': IF, 'SET': SET})
rules.add('[$x={cat, dog, fish, bird}]', '#SET(y=matched)')
rules.add('#IF(x=cat, y=matched)', '#SET(z=something)')
rules.add('#IF(z=something)', 'hallelujah (1.0)')
rules.add('#IF(z=something) (2.0)', '#SET(a=blah) wow (1.0)')
rules.add('#IF(a=blah)', '#SET(b=blah)')
result, score = rules.update('i have a cat', debugging=False)
assert result.generate(vars=vars, macros={'IF': IF, 'SET': SET}).strip() == 'wow'
assert vars['z'] == 'something'
assert vars['x'] == 'cat'
assert 'b' not in vars
| {"/emora_stdm/state_transition_dialogue_manager/process_wordnet_data.py": ["/emora_stdm/state_transition_dialogue_manager/wordnet.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/state_transition_dialogue_manager/macro.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/modules/ontology_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/wordnet.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_utilities.py": ["/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/modules/multiple_components_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_composite_dialogue_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/memory.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/database.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/settings.py", "/emora_stdm/state_transition_dialogue_manager/stochastic_options.py", "/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py", "/emora_stdm/state_transition_dialogue_manager/state.py", "/emora_stdm/state_transition_dialogue_manager/update_rules.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_json_style_dialogue_flow.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_test_natex.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_natex_nlg.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/modules/macro_definition_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/modules/hello_world_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/chat_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py"], "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py": ["/emora_stdm/state_transition_dialogue_manager/stochastic_options.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py"], "/emora_stdm/modules/update_rules_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_update_rules.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py": ["/emora_stdm/state_transition_dialogue_manager/database.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/__init__.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/update_rules.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_settings.py": ["/emora_stdm/state_transition_dialogue_manager/settings.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_stochastic_options.py": ["/emora_stdm/state_transition_dialogue_manager/stochastic_options.py"], "/emora_stdm/modules/natex_compilation.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_stack.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py"], "/emora_stdm/modules/sigdial_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_natex_nlu.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py"], "/emora_stdm/modules/interoperability_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/update_rules.py": ["/emora_stdm/state_transition_dialogue_manager/update_rule.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/modules/reasoning_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/macros_common.py": ["/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/memory.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/wordnet.py"], "/emora_stdm/state_transition_dialogue_manager/update_rule.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_state.py": ["/emora_stdm/state_transition_dialogue_manager/state.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_macros.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_knowledge_base.py": ["/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_composite_dialogue_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_ngrams.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/state_transition_dialogue_manager/natex_common.py": ["/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py"]} |
60,281 | dwtcourses/emora_stdm | refs/heads/master | /emora_stdm/state_transition_dialogue_manager/knowledge_base.py |
from emora_stdm.state_transition_dialogue_manager.database import GraphDatabase as Graph
from structpy.graph.traversal import preset as traversal
from emora_stdm.state_transition_dialogue_manager.utilities import lemmatize_ontology
import json
from collections import defaultdict
import regex
_type = 'type'
_attr = 'attr'
_expr = 'expr'
_expr_regex = r'[a-z A-Z0-9,]+'
class KnowledgeBase(Graph):
def __init__(self, arcs=None):
Graph.__init__(self)
if arcs is not None:
for s, r, o in arcs:
self.add_relation(s, r, o)
def query(self, node, *relations):
if isinstance(node, set):
result_set = set().union(node)
else:
result_set = {node}
for relation_set in relations:
new_result_set = set()
if not isinstance(relation_set, set):
relation_set = {relation_set}
for relation in relation_set:
if relation == '*':
for n in result_set:
new_result_set.update({x[1] for x in self.arcs_out(n)})
elif relation[0] == '~':
relation = relation[1:]
for n in result_set:
if self.has_arc_label(n, relation):
new_result_set.update({x[0] for x in self.arcs_in(n, relation)})
else:
for n in result_set:
if self.has_arc_label(n, relation):
new_result_set.update({x[1] for x in self.arcs_out(n, relation)})
result_set = new_result_set
return result_set
def add_type(self, subtype, type):
self.add(subtype, type, _type)
if regex.fullmatch(_expr_regex, type):
self.add(type, type, _expr)
if regex.fullmatch(_expr_regex, subtype):
self.add(subtype, subtype, _expr)
def add_relation(self, subject, relation, object):
self.add(subject, object, relation)
if regex.fullmatch(_expr_regex, subject):
self.add(subject, subject, _expr)
if regex.fullmatch(_expr_regex, object):
self.add(object, object, _expr)
def add_expression(self, node, expression):
self.add(node, expression, _expr)
if regex.fullmatch(_expr_regex, node):
self.add(node, node, _expr)
def add_attr(self, type, attribute):
if _attr not in self.data(type):
self.data(type)[_attr] = set()
self.data(type)[_attr].add(attribute)
def types(self, node_set):
if not isinstance(node_set, set):
node_set = {node_set}
types = set()
for node in node_set:
if self.has_node(node):
s = set(traversal.BreadthFirstOnArcs(self, node, _type)) - {node}
types.update(s)
return types
def subtypes(self, node_set):
if not isinstance(node_set, set):
node_set = {node_set}
subtypes = set()
for node in node_set:
if self.has_node(node):
subtypes.update(set(traversal.BreadthFirstOnArcsReverse(self, node, _type)))
return subtypes
def expressions(self, node_set):
if not isinstance(node_set, set):
node_set = {node_set}
expressions = set()
for node in node_set:
if self.has_arc_label(node, _expr):
expressions.update({x[1] for x in self.arcs_out(node, _expr)})
return expressions
def to_json(self):
ontology_arcs = defaultdict(list)
expression_arcs = defaultdict(list)
relation_arcs = list()
for s, o, r in self.arcs():
if r == _type:
ontology_arcs[o].append(s)
elif r == _expr:
expression_arcs[s].append(o)
else:
relation_arcs.append([s, r, o])
return json.dumps({'ontology': ontology_arcs, 'predicates': relation_arcs,
'expressions': expression_arcs}, indent=4, sort_keys=True)
def load_json_file(self, json_file, lemmatize=False):
f = open(json_file, "r")
d = json.load(f)
self.load_json(d, lemmatize)
def load_json_string(self, json_string, lemmatize=False):
d = json.loads(json_string)
self.load_json(d, lemmatize)
def load_json(self, d, lemmatize=False):
if 'ontology' in d:
if lemmatize:
ontology = lemmatize_ontology(d['ontology'])
else:
ontology = d['ontology']
for k, l in ontology.items():
for e in l:
self.add_type(e, k)
if 'predicates' in d:
relations = d['predicates']
for relation in relations:
s, r, o = tuple(relation)
self.add_relation(s, r, o)
if 'expressions' in d:
expressions = d['expressions']
for n, l in expressions.items():
for e in l:
self.add_expression(n, e) | {"/emora_stdm/state_transition_dialogue_manager/process_wordnet_data.py": ["/emora_stdm/state_transition_dialogue_manager/wordnet.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/state_transition_dialogue_manager/macro.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/modules/ontology_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/wordnet.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_utilities.py": ["/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/modules/multiple_components_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_composite_dialogue_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/memory.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/database.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/settings.py", "/emora_stdm/state_transition_dialogue_manager/stochastic_options.py", "/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py", "/emora_stdm/state_transition_dialogue_manager/state.py", "/emora_stdm/state_transition_dialogue_manager/update_rules.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_json_style_dialogue_flow.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_test_natex.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_natex_nlg.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/modules/macro_definition_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/modules/hello_world_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/chat_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py"], "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py": ["/emora_stdm/state_transition_dialogue_manager/stochastic_options.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py"], "/emora_stdm/modules/update_rules_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_update_rules.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py": ["/emora_stdm/state_transition_dialogue_manager/database.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/__init__.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/update_rules.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_settings.py": ["/emora_stdm/state_transition_dialogue_manager/settings.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_stochastic_options.py": ["/emora_stdm/state_transition_dialogue_manager/stochastic_options.py"], "/emora_stdm/modules/natex_compilation.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_stack.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py"], "/emora_stdm/modules/sigdial_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_natex_nlu.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py"], "/emora_stdm/modules/interoperability_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/update_rules.py": ["/emora_stdm/state_transition_dialogue_manager/update_rule.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/modules/reasoning_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/macros_common.py": ["/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/memory.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/wordnet.py"], "/emora_stdm/state_transition_dialogue_manager/update_rule.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_state.py": ["/emora_stdm/state_transition_dialogue_manager/state.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_macros.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_knowledge_base.py": ["/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_composite_dialogue_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_ngrams.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/state_transition_dialogue_manager/natex_common.py": ["/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py"]} |
60,282 | dwtcourses/emora_stdm | refs/heads/master | /emora_stdm/__init__.py |
from emora_stdm.state_transition_dialogue_manager.dialogue_flow import DialogueFlow
from emora_stdm.state_transition_dialogue_manager.dialogue_flow import EnumByName
from emora_stdm.state_transition_dialogue_manager.knowledge_base import KnowledgeBase
from emora_stdm.state_transition_dialogue_manager.ngrams import Ngrams
from emora_stdm.state_transition_dialogue_manager.natex_nlu import NatexNLU
from emora_stdm.state_transition_dialogue_manager.natex_nlg import NatexNLG
from emora_stdm.state_transition_dialogue_manager.macro import Macro
from emora_stdm.state_transition_dialogue_manager.macros_common import *
from emora_stdm.state_transition_dialogue_manager.composite_dialogue_flow import CompositeDialogueFlow
from emora_stdm.state_transition_dialogue_manager.update_rules import UpdateRule, UpdateRules | {"/emora_stdm/state_transition_dialogue_manager/process_wordnet_data.py": ["/emora_stdm/state_transition_dialogue_manager/wordnet.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/state_transition_dialogue_manager/macro.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/modules/ontology_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/wordnet.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_utilities.py": ["/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/modules/multiple_components_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_composite_dialogue_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/memory.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/database.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/settings.py", "/emora_stdm/state_transition_dialogue_manager/stochastic_options.py", "/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py", "/emora_stdm/state_transition_dialogue_manager/state.py", "/emora_stdm/state_transition_dialogue_manager/update_rules.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_json_style_dialogue_flow.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_test_natex.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_natex_nlg.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/modules/macro_definition_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/modules/hello_world_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/chat_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py"], "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py": ["/emora_stdm/state_transition_dialogue_manager/stochastic_options.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py"], "/emora_stdm/modules/update_rules_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_update_rules.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py": ["/emora_stdm/state_transition_dialogue_manager/database.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/__init__.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/update_rules.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_settings.py": ["/emora_stdm/state_transition_dialogue_manager/settings.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_stochastic_options.py": ["/emora_stdm/state_transition_dialogue_manager/stochastic_options.py"], "/emora_stdm/modules/natex_compilation.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_stack.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py"], "/emora_stdm/modules/sigdial_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_natex_nlu.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py"], "/emora_stdm/modules/interoperability_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/update_rules.py": ["/emora_stdm/state_transition_dialogue_manager/update_rule.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/modules/reasoning_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/macros_common.py": ["/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/memory.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/wordnet.py"], "/emora_stdm/state_transition_dialogue_manager/update_rule.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_state.py": ["/emora_stdm/state_transition_dialogue_manager/state.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_macros.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_knowledge_base.py": ["/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_composite_dialogue_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_ngrams.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/state_transition_dialogue_manager/natex_common.py": ["/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py"]} |
60,283 | dwtcourses/emora_stdm | refs/heads/master | /emora_stdm/test_state_transition_dialogue_manager/test_settings.py |
import pytest
from emora_stdm.state_transition_dialogue_manager.settings import Settings
def test_constructor():
s = Settings(x=1.0, y='hello')
assert s == {'x': 1.0, 'y': 'hello'}
def test_update():
s = Settings(x=1.0, y='hello')
s.update(x=2.0, z='dog')
assert s == {'x': 2.0, 'z': 'dog', 'y': 'hello'}
def test_getitem():
s = Settings(x=1.0, y='hello')
assert s.x == 1.0
assert s.y == 'hello' | {"/emora_stdm/state_transition_dialogue_manager/process_wordnet_data.py": ["/emora_stdm/state_transition_dialogue_manager/wordnet.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/state_transition_dialogue_manager/macro.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/modules/ontology_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/wordnet.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_utilities.py": ["/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/modules/multiple_components_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_composite_dialogue_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/memory.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/database.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/settings.py", "/emora_stdm/state_transition_dialogue_manager/stochastic_options.py", "/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py", "/emora_stdm/state_transition_dialogue_manager/state.py", "/emora_stdm/state_transition_dialogue_manager/update_rules.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_json_style_dialogue_flow.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_test_natex.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_natex_nlg.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/modules/macro_definition_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/modules/hello_world_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/chat_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py"], "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py": ["/emora_stdm/state_transition_dialogue_manager/stochastic_options.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py"], "/emora_stdm/modules/update_rules_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_update_rules.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py": ["/emora_stdm/state_transition_dialogue_manager/database.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/__init__.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/update_rules.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_settings.py": ["/emora_stdm/state_transition_dialogue_manager/settings.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_stochastic_options.py": ["/emora_stdm/state_transition_dialogue_manager/stochastic_options.py"], "/emora_stdm/modules/natex_compilation.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_stack.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py"], "/emora_stdm/modules/sigdial_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_natex_nlu.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py"], "/emora_stdm/modules/interoperability_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/update_rules.py": ["/emora_stdm/state_transition_dialogue_manager/update_rule.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/modules/reasoning_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/macros_common.py": ["/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/memory.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/wordnet.py"], "/emora_stdm/state_transition_dialogue_manager/update_rule.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_state.py": ["/emora_stdm/state_transition_dialogue_manager/state.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_macros.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_knowledge_base.py": ["/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_composite_dialogue_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_ngrams.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/state_transition_dialogue_manager/natex_common.py": ["/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py"]} |
60,284 | dwtcourses/emora_stdm | refs/heads/master | /emora_stdm/test_state_transition_dialogue_manager/test_stochastic_options.py |
import pytest
from emora_stdm.state_transition_dialogue_manager.stochastic_options import StochasticOptions
from collections import defaultdict
def test_constructor():
so = StochasticOptions(['a', 'b', 'c'])
assert so == {'a':1.0, 'b':1.0, 'c':1.0}
so = StochasticOptions({'a':1.0, 'b':2.0, 'c':1.0})
assert so == {'a':1.0, 'b':2.0, 'c':1.0}
def test_select():
so = StochasticOptions({'a':1.0, 'b':2.0, 'c':1.0})
counter = defaultdict(int)
n = 10 ** 5
for i in range(n):
selection = so.select()
counter[selection] += 1
assert counter['a'] == pytest.approx(n / 4, 0.1)
assert counter['b'] == pytest.approx(n / 2, 0.1)
assert counter['c'] == pytest.approx(n / 4, 0.1)
| {"/emora_stdm/state_transition_dialogue_manager/process_wordnet_data.py": ["/emora_stdm/state_transition_dialogue_manager/wordnet.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/state_transition_dialogue_manager/macro.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/modules/ontology_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/wordnet.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_utilities.py": ["/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/modules/multiple_components_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_composite_dialogue_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/memory.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/database.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/settings.py", "/emora_stdm/state_transition_dialogue_manager/stochastic_options.py", "/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py", "/emora_stdm/state_transition_dialogue_manager/state.py", "/emora_stdm/state_transition_dialogue_manager/update_rules.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_json_style_dialogue_flow.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_test_natex.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_natex_nlg.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/modules/macro_definition_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/modules/hello_world_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/chat_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py"], "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py": ["/emora_stdm/state_transition_dialogue_manager/stochastic_options.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py"], "/emora_stdm/modules/update_rules_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_update_rules.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py": ["/emora_stdm/state_transition_dialogue_manager/database.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/__init__.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/update_rules.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_settings.py": ["/emora_stdm/state_transition_dialogue_manager/settings.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_stochastic_options.py": ["/emora_stdm/state_transition_dialogue_manager/stochastic_options.py"], "/emora_stdm/modules/natex_compilation.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_stack.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py"], "/emora_stdm/modules/sigdial_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_natex_nlu.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py"], "/emora_stdm/modules/interoperability_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/update_rules.py": ["/emora_stdm/state_transition_dialogue_manager/update_rule.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/modules/reasoning_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/macros_common.py": ["/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/memory.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/wordnet.py"], "/emora_stdm/state_transition_dialogue_manager/update_rule.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_state.py": ["/emora_stdm/state_transition_dialogue_manager/state.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_macros.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_knowledge_base.py": ["/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_composite_dialogue_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_ngrams.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/state_transition_dialogue_manager/natex_common.py": ["/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py"]} |
60,285 | dwtcourses/emora_stdm | refs/heads/master | /emora_stdm/modules/natex_compilation.py |
from emora_stdm import NatexNLU, Macro
import spacy
class PartOfSpeech(Macro):
def __init__(self):
self.nlp = spacy.load('en_core_web_md')
def run(self, ngrams, vars, args):
doc = self.nlp(ngrams.text())
tokens = list(doc)
return {token.text for token in tokens if token.pos_.lower() in {x.lower() for x in args}}
vars = {}
natex = NatexNLU('[i, {like, love} $activity=#POS(verb)]', macros={'POS': PartOfSpeech()})
if __name__ == '__main__':
print('\n', natex, '\n')
i = input('to match: ')
print('Match:', bool(natex.match(i, vars=vars, debugging=True)))
print('\n', 'vars:\n', vars) | {"/emora_stdm/state_transition_dialogue_manager/process_wordnet_data.py": ["/emora_stdm/state_transition_dialogue_manager/wordnet.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/state_transition_dialogue_manager/macro.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/modules/ontology_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/wordnet.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_utilities.py": ["/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/modules/multiple_components_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_composite_dialogue_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/memory.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/database.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/settings.py", "/emora_stdm/state_transition_dialogue_manager/stochastic_options.py", "/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py", "/emora_stdm/state_transition_dialogue_manager/state.py", "/emora_stdm/state_transition_dialogue_manager/update_rules.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_json_style_dialogue_flow.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_test_natex.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_natex_nlg.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/modules/macro_definition_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/modules/hello_world_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/chat_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py"], "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py": ["/emora_stdm/state_transition_dialogue_manager/stochastic_options.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py"], "/emora_stdm/modules/update_rules_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_update_rules.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py": ["/emora_stdm/state_transition_dialogue_manager/database.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/__init__.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/update_rules.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_settings.py": ["/emora_stdm/state_transition_dialogue_manager/settings.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_stochastic_options.py": ["/emora_stdm/state_transition_dialogue_manager/stochastic_options.py"], "/emora_stdm/modules/natex_compilation.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_stack.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py"], "/emora_stdm/modules/sigdial_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_natex_nlu.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py"], "/emora_stdm/modules/interoperability_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/update_rules.py": ["/emora_stdm/state_transition_dialogue_manager/update_rule.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/modules/reasoning_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/macros_common.py": ["/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/memory.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/wordnet.py"], "/emora_stdm/state_transition_dialogue_manager/update_rule.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_state.py": ["/emora_stdm/state_transition_dialogue_manager/state.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_macros.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_knowledge_base.py": ["/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_composite_dialogue_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_ngrams.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/state_transition_dialogue_manager/natex_common.py": ["/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py"]} |
60,286 | dwtcourses/emora_stdm | refs/heads/master | /emora_stdm/test_state_transition_dialogue_manager/test_stack.py |
import pytest
from emora_stdm.state_transition_dialogue_manager.dialogue_flow import DialogueFlow
from emora_stdm.state_transition_dialogue_manager.natex_nlu import NatexNLU
from emora_stdm.state_transition_dialogue_manager.macros_common import GoalPursuit,GoalExit
def test_stack():
df = DialogueFlow('root')
transitions = {
'state': 'root',
'`What should I do?`':'gma_hospital',
'#GOAL(grandma_hospital) #GATE'
'`I cannot concentrate on a lot of things right now. '
'My grandma is in the hospital. '
'What should I do?`':{
'state': 'gma_hospital',
'score': 2.0,
'[{[{dont,shouldnt,not},worry],calm,relax,distract,[mind,off]}]':{
'state': 'dont_worry',
'#GATE '
'"Okay, I will try my best not to worry. It\'s hard because she lives by '
'herself and won\'t let anyone help her very much, so I feel like this '
'will just happen again."':{
'state': 'happen_again',
'[{sorry,sucks,hard}]':{
'"yeah, thanks."': {}
},
'[will,better]':{
'"I really hope you are right."': {}
},
'error': {
'state': 'feel_better',
'"I actually feel a little bit better after talking with you. Thanks for listening. "':{}
}
},
'#DEFAULT': 'feel_better'
},
'#IDK':{
'"yeah, i dont know either. Its so tough."': {}
}
}
}
gma = {
'#GOAL(why_grandma_hospital) '
'[{[why,hospital],wrong,happened}]': {
'state':'why_grandma_hospital',
'"She is just so frail. I can hardly believe it. '
'She fell off of a stool in the kitchen and broke her hip."': {
'[dont worry]':{
'#GRET(grandma_hospital,dont_worry)'
},
'error':{
'#GRET': 'return'
}
}
},
'#GOAL(grandma_hospital_before) '
'[{has,was},{she,grandma},hospital,{before,earlier,previously}]': {
'state': 'grandma_hospital_before',
'"No, this is the first time, thank goodness."': {
'error':{
'#GRET': 'return'
}
}
}
}
df.load_transitions(transitions)
df.load_transitions(gma, speaker=DialogueFlow.Speaker.USER)
df.add_global_nlu('why_grandma_hospital',
'#GOAL(why_grandma_hospital) [{[why,hospital],wrong,happened}]',
score=0.7)
df.add_global_nlu('grandma_hospital_before',
'#GOAL(grandma_hospital_before) [{has,was},{she,grandma},hospital,{before,earlier,previously}]',
score=0.7)
r = df.system_turn()
assert df.vars()['__goal__'] == 'grandma_hospital'
assert len(df.vars()['__stack__']) == 0
assert df.state() == 'gma_hospital'
df.user_turn("what happened")
assert df.state() == "why_grandma_hospital"
assert df.vars()['__goal_return_state__'] == 'None'
assert df.vars()['__goal__'] == 'why_grandma_hospital'
assert len(df.vars()['__stack__']) == 1
assert df.vars()['__stack__'][0][0] == 'grandma_hospital'
assert "fell off of a stool" in df.system_turn()
df.user_turn("oh no", debugging=True)
assert "What should I do" in df.system_turn(debugging=True)
assert df.state() == 'gma_hospital'
assert df.vars()['__goal__'] == 'grandma_hospital'
assert len(df.vars()['__stack__']) == 0
df.user_turn("dont worry")
assert df.state() == 'dont_worry'
assert "she lives by herself" in df.system_turn()
df.user_turn("has your grandma been in the hospital before this")
assert df.state() == 'grandma_hospital_before'
assert df.vars()['__goal__'] == 'grandma_hospital_before'
assert len(df.vars()['__stack__']) == 1
assert df.vars()['__stack__'][0][0] == 'grandma_hospital'
assert "this is the first time" in df.system_turn()
df.user_turn("ok that is good")
assert "feel a little bit better" in df.system_turn()
assert df.vars()['__goal__'] == 'grandma_hospital'
assert len(df.vars()['__stack__']) == 0 | {"/emora_stdm/state_transition_dialogue_manager/process_wordnet_data.py": ["/emora_stdm/state_transition_dialogue_manager/wordnet.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/state_transition_dialogue_manager/macro.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/modules/ontology_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/wordnet.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_utilities.py": ["/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/modules/multiple_components_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_composite_dialogue_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/memory.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/database.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/settings.py", "/emora_stdm/state_transition_dialogue_manager/stochastic_options.py", "/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py", "/emora_stdm/state_transition_dialogue_manager/state.py", "/emora_stdm/state_transition_dialogue_manager/update_rules.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_json_style_dialogue_flow.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_test_natex.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_natex_nlg.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/modules/macro_definition_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/modules/hello_world_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/chat_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py"], "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py": ["/emora_stdm/state_transition_dialogue_manager/stochastic_options.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py"], "/emora_stdm/modules/update_rules_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_update_rules.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py": ["/emora_stdm/state_transition_dialogue_manager/database.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/__init__.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/update_rules.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_settings.py": ["/emora_stdm/state_transition_dialogue_manager/settings.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_stochastic_options.py": ["/emora_stdm/state_transition_dialogue_manager/stochastic_options.py"], "/emora_stdm/modules/natex_compilation.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_stack.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py"], "/emora_stdm/modules/sigdial_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_natex_nlu.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py"], "/emora_stdm/modules/interoperability_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/update_rules.py": ["/emora_stdm/state_transition_dialogue_manager/update_rule.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/modules/reasoning_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/macros_common.py": ["/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/memory.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/wordnet.py"], "/emora_stdm/state_transition_dialogue_manager/update_rule.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_state.py": ["/emora_stdm/state_transition_dialogue_manager/state.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_macros.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_knowledge_base.py": ["/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_composite_dialogue_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_ngrams.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/state_transition_dialogue_manager/natex_common.py": ["/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py"]} |
60,287 | dwtcourses/emora_stdm | refs/heads/master | /emora_stdm/modules/sigdial_example.py |
from emora_stdm import DialogueFlow
df = DialogueFlow('root', initial_speaker=DialogueFlow.Speaker.USER)
df.add_user_transition('root', 'initiation_state',
"[I, {saw, watched} $movie=#MOVIELOOKUP()]")
df.add_system_transition('initiation_state', 'response_state',
"I've seen $movie too. {Did you like it?, You liked it, right?}")
df.add_user_transition('initiation_state', 'like_state',
"{#SENT(positive), [yes]}")
df.add_user_transition('initiation_state', 'dislike_state',
"{#SENT(negative), [no]}")
df.set_error_successor('initiation_state', 'error_state')
df.add_system_transition('error_state', 'response_state',
"Sorry, I didn't catch that. Did you like $movie?")
df.run() | {"/emora_stdm/state_transition_dialogue_manager/process_wordnet_data.py": ["/emora_stdm/state_transition_dialogue_manager/wordnet.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/state_transition_dialogue_manager/macro.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/modules/ontology_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/wordnet.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_utilities.py": ["/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/modules/multiple_components_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_composite_dialogue_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/memory.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/database.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/settings.py", "/emora_stdm/state_transition_dialogue_manager/stochastic_options.py", "/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py", "/emora_stdm/state_transition_dialogue_manager/state.py", "/emora_stdm/state_transition_dialogue_manager/update_rules.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_json_style_dialogue_flow.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_test_natex.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_natex_nlg.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/modules/macro_definition_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/modules/hello_world_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/chat_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py"], "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py": ["/emora_stdm/state_transition_dialogue_manager/stochastic_options.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py"], "/emora_stdm/modules/update_rules_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_update_rules.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py": ["/emora_stdm/state_transition_dialogue_manager/database.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/__init__.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/update_rules.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_settings.py": ["/emora_stdm/state_transition_dialogue_manager/settings.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_stochastic_options.py": ["/emora_stdm/state_transition_dialogue_manager/stochastic_options.py"], "/emora_stdm/modules/natex_compilation.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_stack.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py"], "/emora_stdm/modules/sigdial_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_natex_nlu.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py"], "/emora_stdm/modules/interoperability_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/update_rules.py": ["/emora_stdm/state_transition_dialogue_manager/update_rule.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/modules/reasoning_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/macros_common.py": ["/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/memory.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/wordnet.py"], "/emora_stdm/state_transition_dialogue_manager/update_rule.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_state.py": ["/emora_stdm/state_transition_dialogue_manager/state.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_macros.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_knowledge_base.py": ["/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_composite_dialogue_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_ngrams.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/state_transition_dialogue_manager/natex_common.py": ["/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py"]} |
60,288 | dwtcourses/emora_stdm | refs/heads/master | /emora_stdm/state_transition_dialogue_manager/memory.py |
from collections import deque
class Memory:
def __init__(self, n_OR_collection):
if isinstance(n_OR_collection, int):
self._data = deque([None] * n_OR_collection)
else:
self._data = deque(n_OR_collection)
self._init_vals = list(self._data)
def add(self, item):
self._data.appendleft(item)
self._data.pop()
def clear(self):
self._data = deque(self._init_vals)
def __contains__(self, item):
return item in self._data
def __len__(self):
return len(self._data)
def __iter__(self):
return self._data.__iter__()
def __getitem__(self, item):
return self._data[item]
def __setitem__(self, key, value):
self._data[key] = value
def __str__(self):
return 'Memory({})'.format(', '.join(self._data)) | {"/emora_stdm/state_transition_dialogue_manager/process_wordnet_data.py": ["/emora_stdm/state_transition_dialogue_manager/wordnet.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/state_transition_dialogue_manager/macro.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/modules/ontology_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/wordnet.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_utilities.py": ["/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/modules/multiple_components_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_composite_dialogue_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/memory.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/database.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/settings.py", "/emora_stdm/state_transition_dialogue_manager/stochastic_options.py", "/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py", "/emora_stdm/state_transition_dialogue_manager/state.py", "/emora_stdm/state_transition_dialogue_manager/update_rules.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_json_style_dialogue_flow.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_test_natex.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_natex_nlg.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/modules/macro_definition_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/modules/hello_world_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/chat_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py"], "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py": ["/emora_stdm/state_transition_dialogue_manager/stochastic_options.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py"], "/emora_stdm/modules/update_rules_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_update_rules.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py": ["/emora_stdm/state_transition_dialogue_manager/database.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/__init__.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/update_rules.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_settings.py": ["/emora_stdm/state_transition_dialogue_manager/settings.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_stochastic_options.py": ["/emora_stdm/state_transition_dialogue_manager/stochastic_options.py"], "/emora_stdm/modules/natex_compilation.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_stack.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py"], "/emora_stdm/modules/sigdial_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_natex_nlu.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py"], "/emora_stdm/modules/interoperability_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/update_rules.py": ["/emora_stdm/state_transition_dialogue_manager/update_rule.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/modules/reasoning_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/macros_common.py": ["/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/memory.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/wordnet.py"], "/emora_stdm/state_transition_dialogue_manager/update_rule.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_state.py": ["/emora_stdm/state_transition_dialogue_manager/state.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_macros.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_knowledge_base.py": ["/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_composite_dialogue_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_ngrams.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/state_transition_dialogue_manager/natex_common.py": ["/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py"]} |
60,289 | dwtcourses/emora_stdm | refs/heads/master | /emora_stdm/state_transition_dialogue_manager/utilities.py | import json
from copy import deepcopy
import random
import nltk
def random_max(collection, key=None):
max_collection = []
if key is not None:
for item in collection:
if not max_collection or key(item) > key(max_collection[0]):
max_collection = [item]
elif key(max_collection[0]) == key(item):
max_collection.append(item)
else:
for item in collection:
if not max_collection or item > max_collection[0]:
max_collection = [item]
elif item == max_collection[0]:
max_collection.append(item)
return random.choice(max_collection)
def lemmatize_ontology(ontology):
lemmatizer = nltk.stem.WordNetLemmatizer()
lemmatizer.lemmatize('initialize')
lemmatized_ontology = {}
for k, l in ontology.items():
lemmatized_ontology[k] = []
for e in l:
lemmas = set()
for pos in 'a', 'r', 'v', 'n':
lemma = lemmatizer.lemmatize(e, pos=pos)
lemmas.add(lemma)
if len(lemmas) == 1:
if lemma not in lemmatized_ontology[k]:
lemmatized_ontology[k].extend([lemma])
else:
lemmatized_ontology[k].extend([l for l in lemmas if l != e and l not in lemmatized_ontology[k]])
return lemmatized_ontology
class ConfigurationDict(dict):
def __hash__(self):
value = 0
for e in self:
value = value ^ hash(e)
return value
def __eq__(self, other):
return dict.__eq__(self, other)
class HashableDict(ConfigurationDict):
def __init__(self, other=None):
if other is None:
other = {}
else:
other = deepcopy(other)
ConfigurationDict.__init__(self, other)
self._altered = set()
def __setitem__(self, key, value):
self._altered.add(key)
ConfigurationDict.__setitem__(self, key, value)
def update(self, mapping):
for k, v in mapping.items():
self[k] = v
def altered(self):
return self._altered
def clear_altered(self):
self._altered.clear()
class HashableSet(set):
def __hash__(self):
value = 0
for e in self:
value = value ^ hash(e)
return value
def __eq__(self, other):
return set.__eq__(self, other)
class AlterationTrackingDict(dict):
def __init__(self, other=None):
dict.__init__(self, other)
self._altered = set()
def __setitem__(self, key, value):
self._altered.add(key)
dict.__setitem__(self, key, value)
def update(self, mapping):
for k, v in mapping.items():
self[k] = v
def altered(self):
return self._altered
def clear_altered(self):
self._altered.clear()
def json_serialize_flexible(obj, extra_mapping=None):
return json.dumps(_json_serialize_flexible(obj, extra_mapping))
def _json_serialize_flexible(obj, extra_mapping=None):
if extra_mapping is None:
extra_mapping = {}
if isinstance(obj, dict):
d = {}
for k, v in obj.items():
k = _json_serialize_flexible(k, extra_mapping)
v = _json_serialize_flexible(v, extra_mapping)
d[k] = v
obj = d
elif isinstance(obj, list):
obj = [_json_serialize_flexible(e, extra_mapping) for e in obj]
elif isinstance(obj, set):
obj = _json_serialize_flexible(['<__set__>'] + list(obj), extra_mapping)
elif isinstance(obj, tuple):
obj = '<__tuple__>' + '<__tuple__>'.join((json_serialize_flexible(x, extra_mapping) for x in obj))
elif isinstance(obj, str) or isinstance(obj, bool) or isinstance(obj, int) or isinstance(obj, float) or obj is None:
obj = obj
else:
obj = extra_mapping[obj]
return obj
def json_deserialize_flexible(obj, extra_mapping=None):
return _json_deserialize_flexible(json.loads(obj), extra_mapping)
def _json_deserialize_flexible(obj, extra_mapping=None):
if extra_mapping is None:
extra_mapping = {}
if isinstance(obj, str):
if obj in extra_mapping:
return extra_mapping[obj]
tupleid = '<__tuple__>'
if len(obj) > len(tupleid) and obj[:len(tupleid)] == tupleid:
return tuple([json_deserialize_flexible(x, extra_mapping) for x in obj[len(tupleid):].split(tupleid)])
else:
return obj
elif isinstance(obj, list):
if len(obj) > 0 and obj[0] == '<__set__>':
return {_json_deserialize_flexible(x, extra_mapping) for x in obj[1:]}
else:
return [_json_deserialize_flexible(e, extra_mapping) for e in obj]
elif isinstance(obj, dict):
return {_json_deserialize_flexible(k, extra_mapping): _json_deserialize_flexible(v, extra_mapping)
for k, v in obj.items()}
else:
return obj
def get_rmapping(mapping):
return {v: k for k, v in mapping.items()}
| {"/emora_stdm/state_transition_dialogue_manager/process_wordnet_data.py": ["/emora_stdm/state_transition_dialogue_manager/wordnet.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/state_transition_dialogue_manager/macro.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/modules/ontology_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/wordnet.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_utilities.py": ["/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/modules/multiple_components_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_composite_dialogue_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/memory.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/database.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/settings.py", "/emora_stdm/state_transition_dialogue_manager/stochastic_options.py", "/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py", "/emora_stdm/state_transition_dialogue_manager/state.py", "/emora_stdm/state_transition_dialogue_manager/update_rules.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_json_style_dialogue_flow.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_test_natex.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_natex_nlg.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/modules/macro_definition_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/modules/hello_world_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/chat_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py"], "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py": ["/emora_stdm/state_transition_dialogue_manager/stochastic_options.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py"], "/emora_stdm/modules/update_rules_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_update_rules.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py": ["/emora_stdm/state_transition_dialogue_manager/database.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/__init__.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/update_rules.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_settings.py": ["/emora_stdm/state_transition_dialogue_manager/settings.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_stochastic_options.py": ["/emora_stdm/state_transition_dialogue_manager/stochastic_options.py"], "/emora_stdm/modules/natex_compilation.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_stack.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py"], "/emora_stdm/modules/sigdial_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_natex_nlu.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py"], "/emora_stdm/modules/interoperability_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/update_rules.py": ["/emora_stdm/state_transition_dialogue_manager/update_rule.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/modules/reasoning_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/macros_common.py": ["/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/memory.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/wordnet.py"], "/emora_stdm/state_transition_dialogue_manager/update_rule.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_state.py": ["/emora_stdm/state_transition_dialogue_manager/state.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_macros.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_knowledge_base.py": ["/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_composite_dialogue_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_ngrams.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/state_transition_dialogue_manager/natex_common.py": ["/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py"]} |
60,290 | dwtcourses/emora_stdm | refs/heads/master | /emora_stdm/state_transition_dialogue_manager/natex_nlu.py |
import regex
from lark import Lark, Transformer, Tree, Visitor, Token
from emora_stdm.state_transition_dialogue_manager.ngrams import Ngrams
from emora_stdm.state_transition_dialogue_manager.utilities import HashableDict
from copy import deepcopy
import sys, traceback
class NatexNLU:
def __init__(self, expression, macros=None):
self._regex = None
if macros is None:
macros = {}
self._macros = macros
if isinstance(expression, str):
self._expression = expression
elif isinstance(expression, list) or isinstance(expression, set):
item = next(iter(expression))
if isinstance(item, str):
self._expression = '{' + ', '.join(expression) + '}'
elif isinstance(item, NatexNLU):
raise NotImplementedError()
elif isinstance(expression, NatexNLU):
self._expression = expression.expression()
self._macros = dict(expression.macros())
self._macros.update(macros)
self._compiler = NatexNLU.Compiler(self._expression)
def match(self, natural_language, vars=None, macros=None, ngrams=None, debugging=False):
natural_language += ' _END_'
if vars is None:
vars = HashableDict()
original_vars = vars
vars = HashableDict(vars)
if ngrams is None:
ngrams = Ngrams(natural_language)
self.compile(ngrams, vars, macros, debugging)
match = regex.fullmatch(self._regex, natural_language)
self._regex = None
if match:
vars.update({k: v for k, v in match.groupdict().items() if v is not None})
original_vars.update({k: vars[k] for k in vars})
return match
def compile(self, ngrams=None, vars=None, macros=None, debugging=False):
if vars is None:
vars = {}
if macros is not None:
for k, v in self._macros.items():
if k not in macros:
macros[k] = v
else:
macros = self._macros
if debugging:
print('NatexNLU compilation:')
print(' {:15} {}'.format('Input', ngrams.text()))
print(' {:15} {}'.format('Macros', ' '.join(macros.keys())))
print(' {:15} {}'.format('Vars', ', '.join([k + '=' + str(v) for k, v in vars.items()])))
print(' {:15} {}'.format('Steps', ' ' + '-' * 60))
print(' {:15} {}'.format('Original', self._expression))
self._regex = self._compiler.compile(ngrams, vars, macros, debugging)
def precache(self):
self._compiler.parse()
def regex(self):
return self._regex
def expression(self):
return self._expression
def macros(self):
return self._macros
def set_macros(self, macros):
self._macros = macros
def __add__(self, other):
if isinstance(other, str):
return NatexNLU('[!' + self._expression + ', ' + other + ']', macros=self._macros)
elif isinstance(other, NatexNLU):
return NatexNLU('[!' + self._expression + ', ' + other._expression + ']', macros=self._macros)
return self
def __radd__(self, other):
if isinstance(other, str):
return NatexNLU('[!' + other + ', ' + self._expression + ']', macros=self._macros)
elif isinstance(other, NatexNLU):
return NatexNLU('[!' + other._expression + ', ' + self._expression + ']', macros=self._macros)
return self
def __str__(self):
return 'NatexNLU({})'.format(self._expression)
def __repr__(self):
return str(self)
class Compiler(Visitor):
grammar = r"""
start: term (","? " "? term)*
term: flexible_sequence | rigid_sequence | conjunction | disjunction | optional | negation
| kleene_star | kleene_plus | regex | reference | assignment | macro | literal
flexible_sequence: "[" " "? term (","? " "? term)* "]"
rigid_sequence: "[!" " "? term (","? " "? term)* "]"
conjunction: "<" term (","? " "? term)* ">"
disjunction: "{" term (","? " "? term)* "}"
optional: term "?"
kleene_star: term "*"
kleene_plus: term "+"
negation: "-" term
regex: "/" regex_value "/"
reference: "$" symbol
assignment: "$" symbol "=" term
macro: "#" symbol ( "(" macro_arg? (","? " "? macro_arg)* ")" )?
macro_arg: macro_arg_string | macro_literal | macro
macro_literal: /[^#), `][^#),`]*/
macro_arg_string: "`" /[^`]+/ "`"
literal: /[a-z_A-Z@.0-9:]+( +[a-z_A-Z@.0-9:]+)*/ | "\"" /[^\"]+/ "\"" | "`" /[^`]+/ "`"
symbol: /[a-z_A-Z.0-9]+/
regex_value: /[^\/]+/
"""
parser = Lark(grammar, parser='earley')
def __init__(self, natex):
self._natex = natex
self._parsed_tree = None
self._tree = deepcopy(self._parsed_tree)
self._ngrams = None
self._vars = None
self._macros = None
self._assignments = set()
self._debugging = False
def parse(self):
try:
self._parsed_tree = self.parser.parse(self._natex)
except Exception as e:
print('Error parsing {}'.format(self._natex))
raise e
def compile(self, ngrams, vars, macros, debugging=False):
if self._parsed_tree is None:
self.parse()
self._tree = deepcopy(self._parsed_tree)
self._assignments = set()
self._ngrams = ngrams
self._vars = vars
self._macros = macros
self._debugging = debugging
re = self.visit(self._tree).children[0]
self._tree = None
self._ngrams = None
self._vars = None
self._macros = None
self._assignments = set()
if self._debugging:
print(' {:15} {}'.format('Final', re))
return re
def to_strings(self, args):
strings = []
for arg in args:
if isinstance(arg, str):
strings.append(arg)
elif isinstance(arg, set):
if arg:
strings.append(r'(?:\b' + r'\b|\b'.join(arg) + r'\b)')
else:
strings.append(r'_EMPTY_SET_')
elif isinstance(arg, bool):
if arg:
strings.append('.*')
else:
strings.append('_FALSE_')
elif arg is None:
strings.append('')
return strings
def flexible_sequence(self, tree):
args = [x.children[0] for x in tree.children]
tree.data = 'compiled'
tree.children[0] = r'.*?\b' + r'\b.*?\b'.join(self.to_strings(args)) + r'\b.*?\b'
if self._debugging: print(' {:15} {}'.format('Flex. sequence', self._current_compilation(self._tree)))
def rigid_sequence(self, tree):
args = [x.children[0] for x in tree.children]
tree.data = 'compiled'
tree.children[0] = r'\b' + r'\b\W*\b'.join(self.to_strings(args)) + r'\b'
if self._debugging: print(' {:15} {}'.format('Rigid sequence', self._current_compilation(self._tree)))
def conjunction(self, tree):
args = [x.children[0] for x in tree.children]
tree.data = 'compiled'
tree.children[0] = '.*?'.join([r'(?=.*?\b{}\b)'.format(x) for x in self.to_strings(args)]) + '.*?'
if self._debugging: print(' {:15} {}'.format('Conjunction', self._current_compilation(self._tree)))
def disjunction(self, tree):
args = [x.children[0] for x in tree.children]
tree.data = 'compiled'
tree.children[0] = r'(?:\b{}\b)'.format(r'\b|\b'.join(
[r'(?:{})'.format(x) for x in self.to_strings(args)]))
if self._debugging: print(' {:15} {}'.format('Disjunction', self._current_compilation(self._tree)))
def optional(self, tree):
args = [x.children[0] for x in tree.children]
tree.data = 'compiled'
tree.children[0] = r'(?:\b{}\b)?'.format(self.to_strings(args)[0])
if self._debugging: print(' {:15} {}'.format('Optional', self._current_compilation(self._tree)))
def kleene_star(self, tree):
args = [x.children[0] for x in tree.children]
tree.data = 'compiled'
tree.children[0] = r'(?:\b{}\b)?(?:\b\W*{}\b)*'.format(self.to_strings(args)[0], self.to_strings(args)[0])
if self._debugging: print(' {:15} {}'.format('Kleene *', self._current_compilation(self._tree)))
def kleene_plus(self, tree):
args = [x.children[0] for x in tree.children]
tree.data = 'compiled'
tree.children[0] = r'(?:\b{}\b)(?:\b\W*{}\b)*'.format(self.to_strings(args)[0], self.to_strings(args)[0])
if self._debugging: print(' {:15} {}'.format('Kleene +', self._current_compilation(self._tree)))
def negation(self, tree):
args = [x.children[0] for x in tree.children]
tree.data = 'compiled'
(arg,) = self.to_strings(args)
tree.children[0] = r'(?!.*\b{}\b.*)'.format(arg) + '.*?'
if self._debugging: print(' {:15} {}'.format('Negation', self._current_compilation(self._tree)))
def regex(self, tree):
args = [x.children[0] for x in tree.children]
tree.data = 'compiled'
(arg,) = self.to_strings(args)
tree.children[0] = arg
if self._debugging: print(' {:15} {}'.format('Regex', self._current_compilation(self._tree)))
def reference(self, tree):
args = [x.children[0] for x in tree.children]
tree.data = 'compiled'
symbol = args[0]
if symbol in self._assignments:
value = '(?P={})'.format(symbol)
elif symbol in self._vars:
value = self._vars[symbol]
else:
value = None
if value == 'None':
value = None
tree.children[0] = value
if self._debugging: print(' {:15} {}'.format('Var reference', self._current_compilation(self._tree)))
def assignment(self, tree):
args = [x.children[0] for x in tree.children]
tree.data = 'compiled'
self._assignments.add(args[0])
value = self.to_strings([args[1]])[0]
tree.children[0] = '(?P<{}>{})'.format(args[0], value)
if self._debugging: print(' {:15} {}'.format('Assignment', self._current_compilation(self._tree)))
def macro(self, tree):
args = [x.children[0] for x in tree.children]
tree.data = 'compiled'
symbol = args[0]
macro_args = args[1:]
for i in range(len(macro_args)):
if isinstance(macro_args[i], Token):
macro_args[i] = str(macro_args[i])
if symbol in self._macros:
macro = self._macros[symbol]
try:
tree.children[0] = macro(self._ngrams, self._vars, macro_args)
except Exception as e:
print('ERROR: Macro {} raised exception {}'.format(symbol, repr(e)))
traceback.print_exc(file=sys.stdout)
tree.children[0] = '_MACRO_EXCEPTION_'
if self._debugging: print(' {:15} {}'.format(symbol, self._current_compilation(self._tree)))
else:
print('ERROR: Macro {} not found'.format(symbol))
tree.children[0] = '_MACRO_NOT_FOUND_'
def macro_arg(self, tree):
tree.children[0] = tree.children[0].children[0]
tree.data = 'compiled'
def macro_literal(self, tree):
tree.data = 'compiled'
def literal(self, tree):
args = tree.children
tree.data = 'compiled'
(literal,) = args
tree.children[0] = literal
def symbol(self, tree):
args = tree.children
tree.data = 'compiled'
(symbol,) = args
tree.children[0] = symbol
def term(self, tree):
args = [x.children[0] for x in tree.children]
tree.data = 'compiled'
(term,) = args
tree.children[0] = term
def start(self, tree):
args = [x.children[0] for x in tree.children]
tree.data = 'compiled'
tree.children[0] = r'\b\W*\b'.join(self.to_strings(args)) + ' _END_'
def _current_compilation(self, tree):
class DisplayTransformer(Transformer):
def flexible_sequence(self, args):
return '[' + ', '.join([str(arg) for arg in args]) + ']'
def rigid_sequence(self, args):
return '[!' + ', '.join([str(arg) for arg in args]) + ']'
def conjunction(self, args):
return '<' + ', '.join([str(arg) for arg in args]) + '>'
def disjunction(self, args):
return '{' + ', '.join([str(arg) for arg in args]) + '}'
def optional(self, args):
return args[0] + '?'
def kleene_star(self, args):
return args[0] + '*'
def kleene_plus(self, args):
return args[0] + '+'
def negation(self, args):
(arg,) = args
return '-' + str(arg)
def regex(self, args):
(arg,) = args
return str(arg)
def reference(self, args):
return '$' + args[0]
def assignment(self, args):
return '${}={}'.format(*args)
def macro(self, args):
return '#' + args[0] + '(' + ', '.join([str(arg) for arg in args[1:]]) + ')'
def literal(self, args):
return str(args[0])
def macro_arg(self, args):
return str(args[0])
def macro_literal(self, args):
return str(args[0])
def symbol(self, args):
return str(args[0])
def term(self, args):
return str(args[0])
def start(self, args):
return str(args[0])
def compiled(self, args):
return str(args[0])
if not isinstance(tree, Tree):
return str(tree)
else:
return DisplayTransformer().transform(tree) | {"/emora_stdm/state_transition_dialogue_manager/process_wordnet_data.py": ["/emora_stdm/state_transition_dialogue_manager/wordnet.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/state_transition_dialogue_manager/macro.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/modules/ontology_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/wordnet.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_utilities.py": ["/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/modules/multiple_components_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_composite_dialogue_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/memory.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/database.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/settings.py", "/emora_stdm/state_transition_dialogue_manager/stochastic_options.py", "/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py", "/emora_stdm/state_transition_dialogue_manager/state.py", "/emora_stdm/state_transition_dialogue_manager/update_rules.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_json_style_dialogue_flow.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_test_natex.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_natex_nlg.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/modules/macro_definition_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/modules/hello_world_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/chat_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py"], "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py": ["/emora_stdm/state_transition_dialogue_manager/stochastic_options.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py"], "/emora_stdm/modules/update_rules_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_update_rules.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py": ["/emora_stdm/state_transition_dialogue_manager/database.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/__init__.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/update_rules.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_settings.py": ["/emora_stdm/state_transition_dialogue_manager/settings.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_stochastic_options.py": ["/emora_stdm/state_transition_dialogue_manager/stochastic_options.py"], "/emora_stdm/modules/natex_compilation.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_stack.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py"], "/emora_stdm/modules/sigdial_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_natex_nlu.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py"], "/emora_stdm/modules/interoperability_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/update_rules.py": ["/emora_stdm/state_transition_dialogue_manager/update_rule.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/modules/reasoning_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/macros_common.py": ["/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/memory.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/wordnet.py"], "/emora_stdm/state_transition_dialogue_manager/update_rule.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_state.py": ["/emora_stdm/state_transition_dialogue_manager/state.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_macros.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_knowledge_base.py": ["/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_composite_dialogue_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_ngrams.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/state_transition_dialogue_manager/natex_common.py": ["/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py"]} |
60,291 | dwtcourses/emora_stdm | refs/heads/master | /emora_stdm/test_state_transition_dialogue_manager/test_natex_nlu.py | import json
import pytest
from emora_stdm.state_transition_dialogue_manager.natex_nlu import NatexNLU
from emora_stdm.state_transition_dialogue_manager.knowledge_base import KnowledgeBase
from emora_stdm.state_transition_dialogue_manager.dialogue_flow import DialogueFlow, Speaker
from emora_stdm.state_transition_dialogue_manager.macros_common import ONTE, ONT_NEG
from enum import Enum
def test_flexible_sequence():
natex = NatexNLU('[quick, fox, brown, dog]')
assert natex.match('the quick fox jumped over the brown dog')
assert not natex.match('fox quick brown dog')
assert not natex.match('')
def test_rigid_sequence():
natex = NatexNLU('[!quick, fox, brown, dog]')
assert natex.match('quick fox brown dog')
assert not natex.match('the quick fox brown dog')
def test_disjunction():
natex = NatexNLU('{quick, fox, brown, dog}')
assert natex.match('fox', debugging=False)
assert natex.match('dog')
assert not natex.match('the dog')
def test_conjunction():
natex = NatexNLU('<quick, fox, brown, dog>')
assert natex.match('the quick fox and the brown dog', debugging=False)
assert natex.match('the brown fox and the quick dog')
assert not natex.match('the fox and the quick dog')
def test_optional():
natex = NatexNLU('[!i, really?, love sports]')
assert natex.match('i really love sports', debugging=False)
assert natex.match('i love sports')
assert not natex.match('i sports')
def test_kleene_star():
natex = NatexNLU('[!i, really*, love, sports]')
assert natex.match('i really love sports')
assert natex.match('i love sports')
assert natex.match('i really really really love sports', debugging=False)
assert not natex.match('i sports')
def test_kleene_plus():
natex = NatexNLU('[!i, really+, love, sports]')
assert natex.match('i really love sports')
assert natex.match('i really really really love sports')
assert not natex.match('i love sports')
def test_negation():
natex = NatexNLU('-[{bad, horrible, not}]')
assert natex.match('i am good')
assert natex.match('good')
assert not natex.match('i am not good')
assert not natex.match('i am horrible')
assert not natex.match('bad')
natex = NatexNLU('[!-bad [good]]')
assert natex.match('good')
assert not natex.match('bad but good', debugging=False)
assert not natex.match('good but bad')
assert natex.match('im good sort of')
assert not natex.match('im good sort of but bad')
assert not natex.match('im bad but also good')
def test_regex():
natex = NatexNLU('/[a-c]+/')
assert natex.match('abccba', debugging=False)
assert not natex.match('abcdabcd', debugging=False)
def test_reference():
v1 = {'A': 'apple', 'B': 'brown', 'C': 'charlie'}
v2 = {'C': 'candice'}
natex = NatexNLU('[!i saw $C today]')
assert natex.match('i saw charlie today', vars=v1, debugging=False)
assert natex.match('i saw charlie today', debugging=False) is None
assert not natex.match('i saw candice today', vars=v1)
assert natex.match('i saw candice today', vars=v2)
def test_assignment():
v = {'A': 'apple'}
natex = NatexNLU('[!i ate a $A={orange, raddish} today]')
assert natex.match('i ate a orange today', vars=v, debugging=True)
assert v['A'] == 'orange'
assert natex.match('i ate a raddish today', vars=v)
assert v['A'] == 'raddish'
assert natex.match('i ate a raddish today')
assert not natex.match('i ate a carrot today', vars=v)
natex = NatexNLU('[!i ate a $B={orange, raddish} today]')
assert natex.match('i ate a raddish today', vars=v)
assert v['B'] == 'raddish'
def test_assignment_within_disjunction():
vars = {}
natex = NatexNLU('{$A=hello, $A=hi}')
assert natex.match('hello', vars=vars)
assert vars['A'] == 'hello'
vars = {}
assert natex.match('hi', vars=vars, debugging=False)
assert vars['A'] == 'hi'
def test_backreference():
natex = NatexNLU('[!$A good eat $A={apple, banana}]')
v = {'A': 'apple'}
assert natex.match('apple good eat banana', vars=v, debugging=False)
assert v['A'] == 'banana'
natex = NatexNLU('[!$A={apple, banana} good eat $A]')
v = {'A': 'apple'}
assert natex.match('banana good eat banana', vars=v, debugging=False)
assert v['A'] == 'banana'
assert not natex.match('apple good eat banana', debugging=False)
assert v['A'] != 'apple'
def SIMPLE(ngrams, vars, args):
return {'foo', 'bar', 'bat', 'baz'}
def HAPPY(ngrams, vars, args):
if ngrams & {'yay', 'hooray', 'happy', 'good', 'nice', 'love'}:
vars['SENTIMENT'] = 'happy'
return True
else:
return False
def FIRSTS(ngrams, vars, args):
firsts = ''
for arg in args:
if isinstance(arg, str) and arg[0] == '$':
arg = vars[arg[1:]]
firsts += arg[0]
return {firsts, firsts[::-1]}
def SET(ngrams, vars, args):
return set(args)
def INTER(ngrams, vars, args):
return set.intersection(*args)
def MOVIE(ngrams, vars, args):
return ngrams & {'Avengers', 'Star Wars'}
macros = {'SIMPLE': SIMPLE, 'HAPPY': HAPPY, 'FIRSTS': FIRSTS, 'INTER': INTER, 'SET': SET, 'MOVIE': MOVIE}
def test_simple_macro():
natex = NatexNLU('[!i #SIMPLE]', macros=macros)
assert natex.match('i foo')
assert natex.match('i bar')
assert not natex.match('i err')
natex = NatexNLU('[!i #SIMPLE()]', macros=macros)
assert natex.match('i foo')
assert natex.match('i bar')
assert not natex.match('i err')
def test_macro_with_args():
v = {'X': 'carrot'}
natex = NatexNLU('#FIRSTS(apple, banana, $X)', macros=macros)
assert natex.match('abc', vars=v, debugging=False)
assert natex.match('cba', vars=v)
def test_macro_with_assignment():
v = {}
natex = NatexNLU('#HAPPY', macros=macros)
assert natex.match('i am good today', vars=v, debugging=False)
assert v['SENTIMENT'] == 'happy'
assert not natex.match('i am bad')
def test_nested_macro():
natex = NatexNLU('#INTER(#SET(apple, banana), #SET(apple, orange))', macros=macros)
assert natex.match('apple', debugging=False)
assert not natex.match('orange')
def test_sigdial_natex1():
natex = NatexNLU('[{have, did} you {seen, watch} $MOVIE={avengers, star wars}]', macros=macros)
assert natex.match('so have you seen avengers', debugging=True)
def test_sigdial_natex2():
natex = NatexNLU('[I {watched, saw} $MOVIE={avengers, star wars}]', macros=macros)
assert natex.match('last night I saw avengers', debugging=True)
class States(Enum):
A = 0
B = 1
C = 2
D = 3
E = 4
def test_ontology():
kb = KnowledgeBase()
ontology = {
"ontology": {
"season": [
"fall",
"spring",
"summer",
"winter"
],
"month": [
"january",
"february",
"march",
"april",
"may",
"june",
"july",
"august",
"september",
"october",
"november",
"december"
]
}
}
kb.load_json(ontology)
df = DialogueFlow(States.A, Speaker.USER, kb=kb)
df.add_state(States.A)
df.add_state(States.B)
df.add_state(States.C)
df.add_state(States.D)
df.add_state(States.E)
df.set_error_successor(States.A, States.E)
df.set_error_successor(States.B, States.E)
df.set_error_successor(States.C, States.E)
df.set_error_successor(States.D, States.E)
df.add_user_transition(States.A, States.B, "[#ONT(month)]")
df.add_system_transition(States.B, States.C, "B to C")
df.add_user_transition(States.C, States.D, "[$m=#ONT(month), $s=#ONT(season)]")
df.user_turn("january")
assert df.state() == States.B
assert df.system_turn() == "B to C"
df.user_turn("october is in the fall season")
assert df.state() == States.D
assert df._vars["m"] == "october"
assert df._vars["s"] == "fall"
df.set_state(States.A)
df.set_speaker(Speaker.USER)
df.user_turn("hello there", debugging=False)
assert df.state() == States.E
################################### INTEGRATION TESTS ####################################
def test_integration_opening_component():
kb = KnowledgeBase()
kb.load_json_file("opening_database.json")
receive_how_are_you = "{" \
"[how are you]," \
"[how you doing]," \
"[what about you]," \
"[whats up with you]," \
"[how you are]," \
"[how about you]" \
"}"
feelings_pos_and_not_received_how_are_you = "{" \
"[!#ONT_NEG(ont_negation), -%s, [#ONT(ont_feelings_positive)]]," \
"[! -%s, [#ONT(ont_negation)], [#ONT(ont_feelings_negative)]]," \
"#IsPositiveSentiment" \
"}" % (receive_how_are_you, receive_how_are_you)
nlu = NatexNLU(feelings_pos_and_not_received_how_are_you, macros={"ONT": ONTE(kb), "ONT_NEG": ONT_NEG(kb)})
m = nlu.match("im not too bad", debugging=False)
assert m
m = nlu.match("great i guess", debugging=False)
assert m
m = nlu.match("great", debugging=False)
assert m
m = nlu.match("i seem to be pretty great thanks", debugging=False)
assert m
m = nlu.match("not bad", debugging=False)
assert m
m = nlu.match("thanks im not bad dude", debugging=False)
assert m
m = nlu.match("well how are you", debugging=False)
assert not m
m = nlu.match("pretty well how are you", debugging=False)
assert not m
m = nlu.match("not well how are you", debugging=False)
assert not m
m = nlu.match("how are you im not well", debugging=False)
assert not m
m = nlu.match("im bad", debugging=False)
assert not m
m = nlu.match("bad", debugging=False)
assert not m
m = nlu.match("im doing ok", debugging=False)
assert not m
feelings_neg_and_not_received_how_are_you = "{" \
"[!#ONT_NEG(ont_negation), -%s, [#ONT(ont_feelings_negative)]]," \
"[! -%s, [#ONT(ont_negation)], [{#ONT(ont_feelings_positive),#ONT(ont_feelings_neutral)}]]," \
"#IsNegativeSentiment" \
"}" % (receive_how_are_you, receive_how_are_you)
nlu = NatexNLU(feelings_neg_and_not_received_how_are_you, macros={"ONT": ONTE(kb), "ONT_NEG": ONT_NEG(kb)})
m = nlu.match("bad i guess", debugging=False)
assert m
m = nlu.match("bad", debugging=False)
assert m
m = nlu.match("i seem to be pretty bad thanks", debugging=False)
assert m
m = nlu.match("not good", debugging=False)
assert m
m = nlu.match("thanks im not ok dude", debugging=False)
assert m
m = nlu.match("great i guess", debugging=False)
assert not m
m = nlu.match("great", debugging=False)
assert not m
m = nlu.match("i seem to be pretty great thanks", debugging=False)
assert not m
m = nlu.match("not bad", debugging=False)
assert not m
m = nlu.match("thanks im not bad dude", debugging=False)
assert not m
m = nlu.match("ok how are you", debugging=False)
assert not m
m = nlu.match("pretty well how are you", debugging=False)
assert not m
m = nlu.match("not well how are you", debugging=False)
assert not m
m = nlu.match("how are you im not well", debugging=False)
assert not m
feelings_neutral_and_not_received_how_are_you = "[!#ONT_NEG(ont_negation), -%s, [#ONT(ont_feelings_neutral)]]" % (
receive_how_are_you)
nlu = NatexNLU(feelings_neutral_and_not_received_how_are_you, macros={"ONT": ONTE(kb), "ONT_NEG": ONT_NEG(kb)})
m = nlu.match("ok i guess", debugging=False)
assert m
m = nlu.match("ok", debugging=False)
assert m
m = nlu.match("i seem to be ok thanks", debugging=False)
assert m
m = nlu.match("great i guess", debugging=False)
assert not m
m = nlu.match("great", debugging=False)
assert not m
m = nlu.match("i seem to be pretty great thanks", debugging=False)
assert not m
m = nlu.match("not bad", debugging=False)
assert not m
m = nlu.match("thanks im not bad dude", debugging=False)
assert not m
m = nlu.match("ok how are you", debugging=False)
assert not m
m = nlu.match("pretty well how are you", debugging=False)
assert not m
m = nlu.match("not well how are you", debugging=False)
assert not m
m = nlu.match("how are you im not well", debugging=False)
assert not m
m = nlu.match("bad i guess", debugging=False)
assert not m
m = nlu.match("bad", debugging=False)
assert not m
m = nlu.match("i seem to be pretty bad thanks", debugging=False)
assert not m
m = nlu.match("not good", debugging=False)
assert not m
m = nlu.match("thanks im not ok dude", debugging=False)
assert not m
feelings_pos_and_received_how_are_you = "{" \
"[!#ONT_NEG(ont_negation), [#ONT(ont_feelings_positive)], [%s]]," \
"[#ONT(ont_negation), #ONT(ont_feelings_negative), %s]," \
"<#IsPositiveSentiment, %s>" \
"}" % (receive_how_are_you, receive_how_are_you, receive_how_are_you)
nlu = NatexNLU(feelings_pos_and_received_how_are_you, macros={"ONT": ONTE(kb), "ONT_NEG": ONT_NEG(kb)})
m = nlu.match("pretty well how are you", debugging=False)
assert m
m = nlu.match("great how are you", debugging=False)
assert m
m = nlu.match("not too bad how are you", debugging=False)
assert m
m = nlu.match("not bad how are you", debugging=False)
assert m
m = nlu.match("ok i guess", debugging=False)
assert not m
m = nlu.match("ok", debugging=False)
assert not m
m = nlu.match("i seem to be ok thanks", debugging=False)
assert not m
m = nlu.match("great i guess", debugging=False)
assert not m
m = nlu.match("great", debugging=False)
assert not m
m = nlu.match("i seem to be pretty great thanks", debugging=False)
assert not m
m = nlu.match("not bad", debugging=False)
assert not m
m = nlu.match("thanks im not bad dude", debugging=False)
assert not m
m = nlu.match("ok how are you", debugging=False)
assert not m
m = nlu.match("not well how are you", debugging=False)
assert not m
m = nlu.match("how are you im not well", debugging=False)
assert not m
m = nlu.match("bad i guess", debugging=False)
assert not m
m = nlu.match("bad", debugging=False)
assert not m
m = nlu.match("i seem to be pretty bad thanks", debugging=False)
assert not m
m = nlu.match("not good", debugging=False)
assert not m
m = nlu.match("thanks im not ok dude", debugging=False)
assert not m
feelings_neg_and_received_how_are_you = "{" \
"[!#ONT_NEG(ont_negation), [#ONT(ont_feelings_negative)], [%s]]," \
"[#ONT(ont_negation), {#ONT(ont_feelings_positive),#ONT(ont_feelings_neutral)}, %s]," \
"<#IsNegativeSentiment, %s>" \
"}" % (receive_how_are_you, receive_how_are_you, receive_how_are_you)
nlu = NatexNLU(feelings_neg_and_received_how_are_you, macros={"ONT": ONTE(kb), "ONT_NEG": ONT_NEG(kb)})
m = nlu.match("not well how are you", debugging=False)
assert m
m = nlu.match("bad how are you", debugging=False)
assert m
m = nlu.match("im bad how are you", debugging=False)
assert m
m = nlu.match("ok i guess", debugging=False)
assert not m
m = nlu.match("ok", debugging=False)
assert not m
m = nlu.match("i seem to be ok thanks", debugging=False)
assert not m
m = nlu.match("great i guess", debugging=False)
assert not m
m = nlu.match("great", debugging=False)
assert not m
m = nlu.match("i seem to be pretty great thanks", debugging=False)
assert not m
m = nlu.match("not bad", debugging=False)
assert not m
m = nlu.match("thanks im not bad dude", debugging=False)
assert not m
m = nlu.match("ok how are you", debugging=False)
assert not m
m = nlu.match("bad i guess", debugging=False)
assert not m
m = nlu.match("bad", debugging=False)
assert not m
m = nlu.match("i seem to be pretty bad thanks", debugging=False)
assert not m
m = nlu.match("not good", debugging=False)
assert not m
m = nlu.match("thanks im not ok dude", debugging=False)
assert not m
m = nlu.match("pretty well how are you", debugging=False)
assert not m
m = nlu.match("great how are you", debugging=False)
assert not m
feelings_neutral_and_received_how_are_you = "[!#ONT_NEG(ont_negation), [#ONT(ont_feelings_neutral)], [%s]]" % (
receive_how_are_you)
nlu = NatexNLU(feelings_neutral_and_received_how_are_you, macros={"ONT": ONTE(kb), "ONT_NEG": ONT_NEG(kb)})
m = nlu.match("ok but how are you", debugging=False)
assert m
m = nlu.match("not ok how are you", debugging=False)
assert not m
m = nlu.match("im not ok how are you", debugging=False)
assert not m
m = nlu.match("not well how are you", debugging=False)
assert not m
m = nlu.match("bad how are you", debugging=False)
assert not m
m = nlu.match("im bad how are you", debugging=False)
assert not m
m = nlu.match("ok i guess", debugging=False)
assert not m
m = nlu.match("ok", debugging=False)
assert not m
m = nlu.match("i seem to be ok thanks", debugging=False)
assert not m
m = nlu.match("great i guess", debugging=False)
assert not m
m = nlu.match("great", debugging=False)
assert not m
m = nlu.match("i seem to be pretty great thanks", debugging=False)
assert not m
m = nlu.match("not bad", debugging=False)
assert not m
m = nlu.match("thanks im not bad dude", debugging=False)
assert not m
m = nlu.match("bad i guess", debugging=False)
assert not m
m = nlu.match("bad", debugging=False)
assert not m
m = nlu.match("i seem to be pretty bad thanks", debugging=False)
assert not m
m = nlu.match("not good", debugging=False)
assert not m
m = nlu.match("thanks im not ok dude", debugging=False)
assert not m
m = nlu.match("pretty well how are you", debugging=False)
assert not m
m = nlu.match("great how are you", debugging=False)
assert not m
decline_share = "{" \
"[#ONT(ont_negation), {talk, talking, discuss, discussing, share, sharing, tell, telling, say, saying}]," \
"[#ONT(ont_fillers), #ONT(ont_negative)]," \
"[#ONT(ont_negative)]" \
"<{dont,do not}, know>," \
"<not, sure>" \
"}"
nlu = NatexNLU(decline_share, macros={"ONT": ONTE(kb), "ONT_NEG": ONT_NEG(kb)})
m = nlu.match("i dont know", debugging=False)
assert m
m = nlu.match("im not sure", debugging=False)
assert m
m = nlu.match("i dont want to tell you", debugging=False)
assert m
m = nlu.match("no", debugging=False)
assert m
m = nlu.match("i dont want to talk about it", debugging=False)
assert m
m = nlu.match("ok but how are you", debugging=False)
assert not m
m = nlu.match("not ok how are you", debugging=False)
assert not m
m = nlu.match("im not ok how are you", debugging=False)
assert not m
m = nlu.match("not well how are you", debugging=False)
assert not m
m = nlu.match("bad how are you", debugging=False)
assert not m
m = nlu.match("im bad how are you", debugging=False)
assert not m
m = nlu.match("ok i guess", debugging=False)
assert not m
m = nlu.match("ok", debugging=False)
assert not m
m = nlu.match("i seem to be ok thanks", debugging=False)
assert not m
m = nlu.match("great i guess", debugging=False)
assert not m
m = nlu.match("great", debugging=False)
assert not m
m = nlu.match("i seem to be pretty great thanks", debugging=False)
assert not m
m = nlu.match("not bad", debugging=False)
assert not m
m = nlu.match("thanks im not bad dude", debugging=False)
assert not m
m = nlu.match("bad i guess", debugging=False)
assert not m
m = nlu.match("bad", debugging=False)
assert not m
m = nlu.match("i seem to be pretty bad thanks", debugging=False)
assert not m
m = nlu.match("not good", debugging=False)
assert not m
m = nlu.match("thanks im not ok dude", debugging=False)
assert not m
m = nlu.match("pretty well how are you", debugging=False)
assert not m
m = nlu.match("great how are you", debugging=False)
assert not m
| {"/emora_stdm/state_transition_dialogue_manager/process_wordnet_data.py": ["/emora_stdm/state_transition_dialogue_manager/wordnet.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/state_transition_dialogue_manager/macro.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/modules/ontology_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/wordnet.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_utilities.py": ["/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/modules/multiple_components_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_composite_dialogue_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/memory.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/database.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/settings.py", "/emora_stdm/state_transition_dialogue_manager/stochastic_options.py", "/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py", "/emora_stdm/state_transition_dialogue_manager/state.py", "/emora_stdm/state_transition_dialogue_manager/update_rules.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_json_style_dialogue_flow.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_test_natex.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_natex_nlg.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/modules/macro_definition_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/modules/hello_world_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/chat_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py"], "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py": ["/emora_stdm/state_transition_dialogue_manager/stochastic_options.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py"], "/emora_stdm/modules/update_rules_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_update_rules.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py": ["/emora_stdm/state_transition_dialogue_manager/database.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/__init__.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/update_rules.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_settings.py": ["/emora_stdm/state_transition_dialogue_manager/settings.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_stochastic_options.py": ["/emora_stdm/state_transition_dialogue_manager/stochastic_options.py"], "/emora_stdm/modules/natex_compilation.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_stack.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py"], "/emora_stdm/modules/sigdial_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_natex_nlu.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py"], "/emora_stdm/modules/interoperability_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/update_rules.py": ["/emora_stdm/state_transition_dialogue_manager/update_rule.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/modules/reasoning_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/macros_common.py": ["/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/memory.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/wordnet.py"], "/emora_stdm/state_transition_dialogue_manager/update_rule.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_state.py": ["/emora_stdm/state_transition_dialogue_manager/state.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_macros.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_knowledge_base.py": ["/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_composite_dialogue_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_ngrams.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/state_transition_dialogue_manager/natex_common.py": ["/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py"]} |
60,292 | dwtcourses/emora_stdm | refs/heads/master | /emora_stdm/modules/interoperability_example.py |
from emora_stdm import DialogueFlow
system = DialogueFlow('start', end_state='end', initial_speaker=DialogueFlow.Speaker.USER)
system.load_transitions({
'state': 'start',
'[{hi, hello}]': {
'`Hi!`':{
'score': 3.0,
'error': { '`Bye.`': 'end' }
}
},
'error': { '`Bye`': 'end' }
})
system.load_update_rules({
'[news]': '`Coronavirus, argh!` (4.0)',
'[{movie, movies}]': '`Avengers is a good one.` (4.0)',
'/.*/ (0.1)': '`I\'m not sure I understand.` (2.0)',
})
if __name__ == '__main__':
system.run(debugging=True) | {"/emora_stdm/state_transition_dialogue_manager/process_wordnet_data.py": ["/emora_stdm/state_transition_dialogue_manager/wordnet.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/state_transition_dialogue_manager/macro.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/modules/ontology_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/wordnet.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_utilities.py": ["/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/modules/multiple_components_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_composite_dialogue_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/memory.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/database.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/settings.py", "/emora_stdm/state_transition_dialogue_manager/stochastic_options.py", "/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py", "/emora_stdm/state_transition_dialogue_manager/state.py", "/emora_stdm/state_transition_dialogue_manager/update_rules.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_json_style_dialogue_flow.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_test_natex.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_natex_nlg.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/modules/macro_definition_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/modules/hello_world_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/chat_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py"], "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py": ["/emora_stdm/state_transition_dialogue_manager/stochastic_options.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py"], "/emora_stdm/modules/update_rules_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_update_rules.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py": ["/emora_stdm/state_transition_dialogue_manager/database.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/__init__.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/update_rules.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_settings.py": ["/emora_stdm/state_transition_dialogue_manager/settings.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_stochastic_options.py": ["/emora_stdm/state_transition_dialogue_manager/stochastic_options.py"], "/emora_stdm/modules/natex_compilation.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_stack.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py"], "/emora_stdm/modules/sigdial_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_natex_nlu.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py"], "/emora_stdm/modules/interoperability_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/update_rules.py": ["/emora_stdm/state_transition_dialogue_manager/update_rule.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/modules/reasoning_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/macros_common.py": ["/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/memory.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/wordnet.py"], "/emora_stdm/state_transition_dialogue_manager/update_rule.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_state.py": ["/emora_stdm/state_transition_dialogue_manager/state.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_macros.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_knowledge_base.py": ["/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_composite_dialogue_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_ngrams.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/state_transition_dialogue_manager/natex_common.py": ["/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py"]} |
60,293 | dwtcourses/emora_stdm | refs/heads/master | /emora_stdm/state_transition_dialogue_manager/update_rules.py |
from emora_stdm.state_transition_dialogue_manager.update_rule import UpdateRule
from collections import defaultdict
from emora_stdm.state_transition_dialogue_manager.utilities import HashableDict
from copy import deepcopy
class UpdateRules:
def __init__(self, vars=None, macros=None):
if vars is None:
vars = {}
if macros is None:
macros = {}
self.vars = vars
self.rules = []
self.untapped = []
self.macros = macros
def set_vars(self, vars):
self.vars = vars
for rule in self.rules:
rule.set_vars(vars)
def add(self, precondition, postcondition='', score=None):
rule = UpdateRule(precondition, postcondition, vars=self.vars, macros=self.macros)
if score is not None:
rule.precondition_score = score
self.rules.append(rule)
def update(self, user_input, debugging=False):
self.untapped = sorted(self.rules, key=lambda x: x.precondition_score, reverse=True)
response = None
self.vars['__converged__'] = 'False'
while not self.vars['__converged__'] == 'True':
response = self.update_step(user_input, debugging=debugging)
if '__user_utterance__' in self.vars and self.vars['__user_utterance__'] is not None:
user_input = self.vars['__user_utterance__']
return response
def update_step(self, user_input, debugging=False):
self.vars['__converged__'] = 'False'
for i, rule in enumerate(self.untapped):
star_repeat = rule.is_repeating
repeating = True
while repeating:
repeating = False
try:
vars = HashableDict(self.vars)
satisfaction = rule.satisfied(user_input, vars, debugging=debugging)
except RuntimeError as e:
print('Failed information state update condition check:')
print(' ', rule)
print(e)
del self.untapped[i]
return None
if satisfaction:
if debugging:
print('Rule triggered: ', rule.precondition, '==>', rule.postcondition)
if rule.postcondition_score is None:
try:
rule.apply(vars, debugging=debugging)
except Exception as e:
print('Failed information state update application')
print(' ', rule)
print(e)
del self.untapped[i]
return None
self.vars.update({k: vars[k] for k in vars if k != '__score__' and k in vars})
if '__user_utterance__' in self.vars and self.vars['__user_utterance__'] is not None:
user_input = self.vars['__user_utterance__']
if star_repeat:
repeating = True
continue
del self.untapped[i]
return None
else:
self.vars.update({k: vars[k] for k in vars if k != '__score__' and k in vars})
response_natex = rule.postcondition
generation = (response_natex, rule.postcondition_score)
del self.untapped[i]
self.vars['__converged__'] = 'True'
return generation
self.vars['__converged__'] = 'True'
return None | {"/emora_stdm/state_transition_dialogue_manager/process_wordnet_data.py": ["/emora_stdm/state_transition_dialogue_manager/wordnet.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/state_transition_dialogue_manager/macro.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/modules/ontology_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/wordnet.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_utilities.py": ["/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/modules/multiple_components_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_composite_dialogue_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/memory.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/database.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/settings.py", "/emora_stdm/state_transition_dialogue_manager/stochastic_options.py", "/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py", "/emora_stdm/state_transition_dialogue_manager/state.py", "/emora_stdm/state_transition_dialogue_manager/update_rules.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_json_style_dialogue_flow.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_test_natex.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_natex_nlg.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/modules/macro_definition_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/modules/hello_world_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/chat_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py"], "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py": ["/emora_stdm/state_transition_dialogue_manager/stochastic_options.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py"], "/emora_stdm/modules/update_rules_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_update_rules.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py": ["/emora_stdm/state_transition_dialogue_manager/database.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/__init__.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/update_rules.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_settings.py": ["/emora_stdm/state_transition_dialogue_manager/settings.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_stochastic_options.py": ["/emora_stdm/state_transition_dialogue_manager/stochastic_options.py"], "/emora_stdm/modules/natex_compilation.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_stack.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py"], "/emora_stdm/modules/sigdial_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_natex_nlu.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py"], "/emora_stdm/modules/interoperability_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/update_rules.py": ["/emora_stdm/state_transition_dialogue_manager/update_rule.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/modules/reasoning_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/macros_common.py": ["/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/memory.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/wordnet.py"], "/emora_stdm/state_transition_dialogue_manager/update_rule.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_state.py": ["/emora_stdm/state_transition_dialogue_manager/state.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_macros.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_knowledge_base.py": ["/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_composite_dialogue_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_ngrams.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/state_transition_dialogue_manager/natex_common.py": ["/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py"]} |
60,294 | dwtcourses/emora_stdm | refs/heads/master | /emora_stdm/modules/reasoning_example.py |
from emora_stdm import DialogueFlow
system = DialogueFlow('start', initial_speaker=DialogueFlow.Speaker.USER)
system.load_transitions({'state': 'start'})
system.load_update_rules({
'[my, {husband, wife, kids}]': '#SET($is_adult=True)',
'{[i, work]}': '#SET($is_adult=True)',
'#IF($is_adult=True)': '`How is you job going?` (2.0)',
'/.*/ (0.1)': '`I\'m not sure I understand.` (1)',
})
if __name__ == '__main__':
system.run() | {"/emora_stdm/state_transition_dialogue_manager/process_wordnet_data.py": ["/emora_stdm/state_transition_dialogue_manager/wordnet.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/state_transition_dialogue_manager/macro.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/modules/ontology_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/wordnet.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_utilities.py": ["/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/modules/multiple_components_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_composite_dialogue_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/memory.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/database.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/settings.py", "/emora_stdm/state_transition_dialogue_manager/stochastic_options.py", "/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py", "/emora_stdm/state_transition_dialogue_manager/state.py", "/emora_stdm/state_transition_dialogue_manager/update_rules.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_json_style_dialogue_flow.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_test_natex.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_natex_nlg.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/modules/macro_definition_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/modules/hello_world_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/chat_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py"], "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py": ["/emora_stdm/state_transition_dialogue_manager/stochastic_options.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py"], "/emora_stdm/modules/update_rules_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_update_rules.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py": ["/emora_stdm/state_transition_dialogue_manager/database.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/__init__.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/update_rules.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_settings.py": ["/emora_stdm/state_transition_dialogue_manager/settings.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_stochastic_options.py": ["/emora_stdm/state_transition_dialogue_manager/stochastic_options.py"], "/emora_stdm/modules/natex_compilation.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_stack.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py"], "/emora_stdm/modules/sigdial_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_natex_nlu.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py"], "/emora_stdm/modules/interoperability_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/update_rules.py": ["/emora_stdm/state_transition_dialogue_manager/update_rule.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/modules/reasoning_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/macros_common.py": ["/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/memory.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/wordnet.py"], "/emora_stdm/state_transition_dialogue_manager/update_rule.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_state.py": ["/emora_stdm/state_transition_dialogue_manager/state.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_macros.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_knowledge_base.py": ["/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_composite_dialogue_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_ngrams.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/state_transition_dialogue_manager/natex_common.py": ["/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py"]} |
60,295 | dwtcourses/emora_stdm | refs/heads/master | /emora_stdm/state_transition_dialogue_manager/macros_common.py |
from collections import defaultdict
from emora_stdm.state_transition_dialogue_manager.macro import Macro
from emora_stdm.state_transition_dialogue_manager.ngrams import Ngrams
from emora_stdm.state_transition_dialogue_manager.memory import Memory
from emora_stdm.state_transition_dialogue_manager.utilities import HashableSet, HashableDict, ConfigurationDict
from emora_stdm.state_transition_dialogue_manager.natex_nlg import NatexNLG
from emora_stdm.state_transition_dialogue_manager.natex_nlu import NatexNLU
# from emora_stdm.state_transition_dialogue_manager.natex_common import *
from typing import Union, Set, List, Dict, Callable, Tuple, NoReturn, Any
import nltk
from nltk.sentiment.vader import SentimentIntensityAnalyzer
from spacy.pipeline import EntityRecognizer
import traceback
import spacy
import sys
import random
try:
nlp = spacy.load("en_core_web_md")
except Exception as e:
traceback.print_exc()
print('Error loading Spacy', file=sys.stderr)
print('Please run the following command:', file=sys.stderr)
print('python -m spacy download en_core_web_md', file=sys.stderr)
try:
nltk.data.find('wordnet')
except:
nltk.download('wordnet')
try:
nltk.find('averaged_perceptron_tagger')
except:
nltk.download('averaged_perceptron_tagger')
try:
nltk.find('vader_lexicon')
except:
nltk.download('vader_lexicon')
from emora_stdm.state_transition_dialogue_manager.wordnet import \
related_synsets, wordnet_knowledge_base, lemmas_of
from nltk.corpus import wordnet
import regex
import re
def _process_args_set(args, vars):
for i, e in enumerate(args):
if isinstance(e, str) and '$' == e[0]:
args[i] = vars[e[1:]]
return args
class ONTE(Macro):
"""
get the set of expressions matching the entire descendent subtree
underneath a given set of ontology nodes (usually 1)
"""
def __init__(self, kb):
self.kb = kb
self.lemmatizer = nltk.stem.WordNetLemmatizer()
self.lemmatizer.lemmatize('initialize')
def run(self, ngrams: Ngrams, vars: Dict[str, Any], args: List[Any]):
node_set = set(_process_args_set(args, vars))
ont_result = self.kb.expressions(self.kb.subtypes(node_set))
if ngrams:
lemma_map = defaultdict(set)
for gram in ngrams:
for pos in 'a', 'r', 'v', 'n':
lemma = self.lemmatizer.lemmatize(gram, pos=pos)
lemma_map[lemma].add(gram)
matches = lemma_map.keys() & ont_result
return set().union(*[lemma_map[match] for match in matches])
else:
return ont_result
class ONTN(Macro):
"""
get the set of node names matching the entire descendent subtree
underneath a given set of ontology nodes (usually 1)
"""
def __init__(self, kb):
self.kb = kb
self.lemmatizer = nltk.stem.WordNetLemmatizer()
self.lemmatizer.lemmatize('initialize')
def run(self, ngrams: Ngrams, vars: Dict[str, Any], args: List[Any]):
node_set = set(_process_args_set(args, vars))
ont_result = self.kb.subtypes(node_set) - node_set
if ngrams:
lemma_map = defaultdict(set)
for gram in ngrams:
for pos in 'a', 'r', 'v', 'n':
lemma = self.lemmatizer.lemmatize(gram, pos=pos)
lemma_map[lemma].add(gram)
matches = lemma_map.keys() & ont_result
return set().union(*[lemma_map[match] for match in matches])
else:
return ont_result
class ONTUL(Macro):
"""
get the set of expressions matching the entire descendent subtree
underneath a given set of ontology nodes (usually 1)
"""
def __init__(self, kb):
self.kb = kb
def run(self, ngrams: Ngrams, vars: Dict[str, Any], args: List[Any]):
node_set = set(_process_args_set(args, vars))
ont_result = self.kb.expressions(self.kb.subtypes(node_set))
return ont_result.intersection(ngrams)
class ONT_NEG(Macro):
def __init__(self, kb):
self.kb = kb
self.lemmatizer = nltk.stem.WordNetLemmatizer()
self.lemmatizer.lemmatize('initialize')
def run(self, ngrams, vars, args):
node_set = args[0]
ont_result = self.kb.expressions(self.kb.subtypes(node_set))
if len(ont_result.intersection(ngrams)) > 0:
return False
return True
class NOT(Macro):
def run(self, ngrams: Ngrams, vars: Dict[str, Any], args: List[Any]):
processedargs = set()
for arg in args:
if isinstance(arg, list):
processedargs.update(set(arg))
elif isinstance(arg, str):
if arg[0] == '$':
arg = vars[arg[1:]]
processedargs.add(str(arg))
elif isinstance(arg, set):
processedargs.update(arg)
elif isinstance(arg, bool):
return not bool
else:
raise Exception("Args to WN were of wrong format: must be list, str, or set")
if processedargs & ngrams:
return False
else:
return True
class KBE(Macro):
"""
get the set of expressions matching the nodes returned from a KB
query, where the first arg is a set of starting nodes (or single node)
and each following arg is a (set or single) relation to traverse
"""
def __init__(self, kb):
self.kb = kb
self.lemmatizer = nltk.stem.WordNetLemmatizer()
self.lemmatizer.lemmatize('initialize')
def run(self, ngrams: Ngrams, vars: Dict[str, Any], args: List[Any]):
args = _process_args_set(args, vars)
kb_result = self.kb.expressions(self.kb.query(*args))
if ngrams:
lemma_map = defaultdict(set)
for gram in ngrams:
for pos in 'a', 'r', 'v', 'n':
lemma = self.lemmatizer.lemmatize(gram, pos=pos)
lemma_map[lemma].add(gram)
matches = lemma_map.keys() & kb_result
return set().union(*[lemma_map[match] for match in matches])
else:
return kb_result
class EXP(Macro):
def __init__(self, kb):
self.kb = kb
self.lemmatizer = nltk.stem.WordNetLemmatizer()
self.lemmatizer.lemmatize('initialize')
def run(self, ngrams: Ngrams, vars: Dict[str, Any], args: List[Any]):
args = _process_args_set(args, vars)
kb_result = self.kb.expressions(*args)
if ngrams:
lemma_map = defaultdict(set)
for gram in ngrams:
for pos in 'a', 'r', 'v', 'n':
lemma = self.lemmatizer.lemmatize(gram, pos=pos)
lemma_map[lemma].add(gram)
matches = lemma_map.keys() & kb_result
return set().union(*[lemma_map[match] for match in matches])
else:
return kb_result
class WN(Macro):
def __init__(self, kb=None):
if kb is None:
kb = wordnet_knowledge_base
self.kb = kb
self.lemmatizer = nltk.stem.WordNetLemmatizer()
self.lemmatizer.lemmatize('initialize')
def run(self, ngrams: Union[Ngrams, None], vars: Dict[str, Any], args: List[Any]):
node_set = set(_process_args_set(args, vars))
expanded_set = set()
for word in node_set:
expanded_set.update({x.name() for x in related_synsets(word)})
subtypes = self.kb.subtypes(expanded_set)
ont_result = set(self.kb.expressions(subtypes))
second_order = set()
for subtype in subtypes:
synset = wordnet.synset(subtype)
for lemma in synset.lemmas():
dlemmas = lemma.derivationally_related_forms()
second_order.update({dlemma.synset().name() for dlemma in dlemmas})
ont_result.update({dlemma.name().replace('_', ' ').lower() for dlemma in dlemmas})
second_order.difference_update(subtypes)
ont_result.update(self.kb.expressions(self.kb.subtypes(second_order)))
if ngrams:
lemma_map = defaultdict(set)
for gram in ngrams:
for pos in 'a', 'r', 'v', 'n':
lemma = self.lemmatizer.lemmatize(gram, pos=pos)
lemma_map[lemma].add(gram)
matches = lemma_map.keys() & ont_result
return set().union(*[lemma_map[match] for match in matches])
else:
return ont_result
class UnionMacro(Macro):
def run(self, ngrams: Ngrams, vars: Dict[str, Any], args: List[Any]):
sets = []
for arg in args:
if isinstance(arg, str):
if arg[0] == '$':
if arg[1:] in vars:
arg = vars[arg[1:]]
else:
return set()
if isinstance(arg, set):
sets.append(arg)
if isinstance(arg, str):
sets.append({arg})
elif isinstance(arg, list):
sets.append(set(arg))
return set().union(*sets)
class Intersection(Macro):
def run(self, ngrams: Ngrams, vars: Dict[str, Any], args: List[Any]):
sets = []
for arg in args:
if isinstance(arg, str):
if arg[0] == '$':
if arg[1:] in vars:
arg = vars[arg[1:]]
else:
return set()
if isinstance(arg, set):
sets.append(arg)
if isinstance(arg, str):
sets.append({arg})
elif isinstance(arg, list):
sets.append(set(arg))
if sets:
return set.intersection(*sets)
else:
return set()
class Difference(Macro):
def run(self, ngrams: Ngrams, vars: Dict[str, Any], args: List[Any]):
if len(args) != 2:
raise ValueError('DIFF macro expects 2 args')
sets = []
for arg in args:
if isinstance(arg, set):
sets.append(arg)
if isinstance(arg, str):
if arg[0] == '$':
arg = vars[arg[1:]]
sets.append({arg})
elif isinstance(arg, list):
sets.append(set(arg))
return sets[0] - sets[1]
def _assignment_to_var_val(arg):
match = regex.match(r'\$([^=]+)=(.*)', arg)
var, val = match.groups()
return var, val
def _get_terms(arg, operator, vars):
t1, t2 = arg.split(operator)
if t1[0] == '$':
var = t1[1:]
t1 = vars[var] if var in vars else 'None'
if t2[0] == '$':
var = t2[1:]
t2 = vars[var] if var in vars else 'None'
return t1, t2
def _term_op_term(arg, vars):
if isinstance(arg, str):
if '<=' in arg:
operator = '<='
t1, t2 = _get_terms(arg, operator, vars)
return float(t1) <= float(t2)
elif '>=' in arg:
operator = '>='
t1, t2 = _get_terms(arg, operator, vars)
return float(t1) >= float(t2)
elif '!=' in arg:
operator = '!='
t1, t2 = _get_terms(arg, operator, vars)
return t1 != t2
elif '<' in arg:
operator = '<'
t1, t2 = _get_terms(arg, operator, vars)
return float(t1) < float(t2)
elif '>' in arg:
operator = '>'
t1, t2 = _get_terms(arg, operator, vars)
return float(t1) > float(t2)
elif '=' in arg:
operator = '='
t1, t2 = _get_terms(arg, operator, vars)
return t1 == t2
elif '$' == arg[0]:
if arg[1:] not in vars:
return False
return bool(vars[arg[1:]])
else:
return None
else:
return bool(arg and arg != 'None')
class SetVars(Macro):
def run(self, ngrams: Ngrams, vars: Dict[str, Any], args: List[Any]):
i = 0
while i < len(args):
arg = args[i]
if isinstance(arg, str) and '=' in arg:
var, val = _assignment_to_var_val(arg)
vars[var] = val
else:
var, val = args[i], args[i + 1]
if isinstance(val, str) and val[0] == '$':
val = vars[val[1:]]
vars[var] = val
i += 1
i += 1
class CheckVarsConjunction(Macro):
def run(self, ngrams: Ngrams, vars: Dict[str, Any], args: List[Any]):
for arg in args:
if not _term_op_term(arg, vars):
return False
return True
class CheckVarsDisjunction(Macro):
def run(self, ngrams: Ngrams, vars: Dict[str, Any], args: List[Any]):
for arg in args:
if _term_op_term(arg, vars):
return True
return False
class IsPlural(Macro):
def run(self, ngrams: Ngrams, vars: Dict[str, Any], args: List[Any]):
arg = args[0]
if isinstance(arg, str) and arg[0] == '$':
arg = vars[arg[1:]]
pos = nltk.pos_tag(arg.split())[-1][1]
if pos == 'NNS':
return True
return False
class FirstPersonPronoun(Macro):
def __init__(self, kb):
self.kb = kb
def run(self, ngrams: Ngrams, vars: Dict[str, Any], args: List[Any]):
args = _process_args_set(args, vars)
if IsPlural()(None, None, [args[0]]):
return 'they'
elif args[0] in ONTE(self.kb)({args[0]}, None, ['female']):
return 'she'
elif args[0] in ONTE(self.kb)({args[0]}, None, ['male']):
return 'he'
elif args[0] not in ONTE(self.kb)({args[0]}, None, ['person']):
return 'it'
else:
return 'they'
class ThirdPersonPronoun(Macro):
def __init__(self, kb):
self.kb = kb
def run(self, ngrams: Ngrams, vars: Dict[str, Any], args: List[Any]):
args = _process_args_set(args, vars)
if IsPlural()(None, None, [args[0]]):
return 'them'
elif args[0] in ONTE(self.kb)({args[0]}, None, ['female']):
return 'her'
elif args[0] in ONTE(self.kb)({args[0]}, None, ['male']):
return 'him'
elif args[0] not in ONTE(self.kb)({args[0]}, None, ['person']):
return 'it'
else:
return 'them'
class PossessivePronoun(Macro):
def __init__(self, kb):
self.kb = kb
def run(self, ngrams: Ngrams, vars: Dict[str, Any], args: List[Any]):
args = _process_args_set(args, vars)
if IsPlural()(None, None, [args[0]]):
return 'their'
elif args[0] in ONTE(self.kb)({args[0]}, None, ['female']):
return 'her'
elif args[0] in ONTE(self.kb)({args[0]}, None, ['male']):
return 'his'
elif args[0] not in ONTE(self.kb)({args[0]}, None, ['person']):
return 'its'
else:
return 'their'
class Increment(Macro):
def run(self, ngrams: Ngrams, vars: Dict[str, Any], args: List[Any]):
vars[args[0]] += 1
class Equal(Macro):
def run(self, ngrams: Ngrams, vars: Dict[str, Any], args: List[Any]):
args = _process_args_set(args, vars)
for i in range(len(args)-1):
if args[i] != args[i+1]:
return False
return True
class Gate(Macro):
def __init__(self, dialogue_flow):
self.dialogue_flow = dialogue_flow
def run(self, ngrams: Ngrams, vars: Dict[str, Any], args: List[Any]):
configuration = {}
for arg in args:
if ':' in arg:
var, val = arg.split(':')
elif '=' in arg:
var, val = arg.split('=')
if var[0] == '$':
var = var[1:]
else:
var, val = arg, None
if val is None:
if var in vars:
configuration[var] = vars[var]
configuration[var] = vars[var]
else:
return False
elif val == 'None':
if var in vars and vars[var] is not None and vars[var] != 'None':
return False
else:
if var not in vars or vars[var] != val:
return False
vars['__gate__'] = configuration
return True
class Unset(Macro):
def run(self, ngrams: Ngrams, vars: Dict[str, Any], args: List[Any]):
for var in args:
if var in vars and vars[var] is not None and vars[var] != 'None':
return False
return True
class Clear(Macro):
def run(self, ngrams: Ngrams, vars: Dict[str, Any], args: List[Any]):
for arg in args:
if arg in vars:
vars[arg] = None
class Sentiment(Macro):
def __init__(self):
self.analyzer = SentimentIntensityAnalyzer()
def run(self, ngrams: Ngrams, vars: Dict[str, Any], args: List[Any]):
results = self.analyzer.polarity_scores(ngrams.text())
print(results)
if 'pos' in args[0].lower():
return results['pos'] > results['neu'] and results['pos'] > results['neg']
elif 'neg' in args[0].lower():
return results['neg'] > results['neu'] and results['neg'] > results['pos']
elif 'neu' in args[0].lower():
return results['neu'] > results['pos'] and results['neu'] > results['neg']
else:
return results['pos'] > results['neu'] or results['neg'] > results['neu']
class NamedEntity(Macro):
"""
NER tags: PERSON, NORP, FAC, ORG, GPE, LOC, PRODUCT, EVENT, WORK_OF_ART, LAW, LANGUAGE,
DATE, TIME, PERCENT, MONEY, QUANTITY, ORDINAL, CARDINAL
https://spacy.io/api/annotation
"""
def run(self, ngrams: Ngrams, vars: Dict[str, Any], args: List[Any]):
doc = nlp(ngrams.text())
entities = set()
for ent in doc.ents:
if not args or ent.label_.lower() in {x.lower() for x in args}:
entities.add(ent.text)
return entities
class PartOfSpeech(Macro):
def __init__(self):
pass
def run(self, ngrams: Ngrams, vars: Dict[str, Any], args: List[Any]):
doc = nlp(ngrams.text())
return {token.text for token in doc if token.pos_.lower() in {x.lower() for x in args}}
class Lemma(Macro):
"""
get the set of expressions matching the entire descendent subtree
underneath a given set of ontology nodes (usually 1)
"""
def __init__(self):
self.lemmatizer = nltk.stem.WordNetLemmatizer()
self.lemmatizer.lemmatize('initialize')
def run(self, ngrams: Ngrams, vars: Dict[str, Any], args: List[Any]):
if ngrams:
lemma_map = defaultdict(set)
for gram in ngrams:
for pos in 'a', 'r', 'v', 'n':
lemma = self.lemmatizer.lemmatize(gram, pos=pos)
lemma_map[lemma].add(gram)
matches = lemma_map.keys() & args
return set().union(*[lemma_map[match] for match in matches])
class Score(Macro):
def run(self, ngrams: Ngrams, vars: Dict[str, Any], args: List[Any]):
score = None
for arg in args:
if '=' in arg:
var, val = _assignment_to_var_val(arg)
if var not in vars or vars[var] != val:
return
else:
score = float(arg)
vars['__score__'] = score
class TokLimit(Macro):
def run(self, ngrams: Ngrams, vars: Dict[str, Any], args: List[Any]):
if ngrams:
if len(ngrams.text().split()) <= int(args[0]):
return True
else:
return False
class Transition(Macro):
"""
"""
def __init__(self, dialogue_flow):
self.dialogue_flow = dialogue_flow
def run(self, ngrams: Ngrams, vars: Dict[str, Any], args: List[Any]):
if len(args) > 1:
score = float(args[1])
else:
score = 0.5
if len(args) > 2:
natex = NatexNLU(args[2], macros=self.dialogue_flow._macros)
else:
natex = NatexNLU('/.*/', macros=self.dialogue_flow._macros)
target = args[0]
vars['__converged__'] = 'True'
self.dialogue_flow.dynamic_transitions().append(
(natex,
(self.dialogue_flow.state(), target, self.dialogue_flow.speaker()),
score))
class VirtualTransitions(Macro):
"""
Add transitions from other states to be evaluated. If any of them succeed,
and their score is higher than other transitions, the target of the imported
transitions will be the next state.
"""
def __init__(self, dialogue_flow):
self.dialogue_flow = dialogue_flow
def run(self, ngrams: Ngrams, vars: Dict[str, Any], args: List[Any]):
for state in args:
if ':' in state:
controller, state = state.split(':')
extraction_df = self.dialogue_flow.composite_dialogue_flow().component(controller)
for source, target, speaker in extraction_df.transitions(state):
natex = extraction_df.transition_natex(source, target, speaker)
score = extraction_df.transition_settings(source, target, speaker).score
if not isinstance(source, tuple):
source = (controller, source)
if not isinstance(target, tuple):
target = (controller, target)
self.dialogue_flow.dynamic_transitions().append(
(natex, (source, target, speaker), score))
else:
for source, target, speaker in self.dialogue_flow.transitions(state):
natex = self.dialogue_flow.transition_natex(source, target, speaker)
score = self.dialogue_flow.transition_settings(source, target, speaker).score
self.dialogue_flow.dynamic_transitions().append(
(natex, (source, target, speaker), score))
return False
class Intent(Macro):
def _similarity(self, user_utterance, dev_utterance):
return user_utterance.similarity(dev_utterance)
def run(self, ngrams: Ngrams, vars: Dict[str, Any], args: List[Any]):
for i, arg in enumerate(args):
if isinstance(arg, str) and arg.isnumeric():
threshold = float(arg)
del args[i]
break
else:
threshold = 0.0
user = nlp(ngrams.text())
dev = [nlp(arg) for arg in args]
similarity = max([self._similarity(user, x) for x in dev])
vars['__score__'] = similarity
if similarity < threshold:
return False
else:
return True
class ScoreBySimilarity(Macro):
def run(self, ngrams: Ngrams, vars: Dict[str, Any], args: List[Any]):
for i, arg in enumerate(args):
if isinstance(arg, str) and arg.isnumeric():
threshold = float(arg)
del args[i]
break
else:
threshold = 0.0
variable = args[0]
if variable[0] == '$': variable = variable[1:]
match = nlp(', '.join(args[1:]))
value = nlp(vars[variable])
similarity = Intent._similarity(None, match, value)
vars['__score__'] = similarity
if similarity < threshold:
return False
else:
return True
class Default(Macro):
def run(self, ngrams: Ngrams, vars: Dict[str, Any], args: List[Any]):
vars['__score__'] = 0.001
return ''
class CanEnter(Macro):
def __init__(self, dialogue_flow):
self.dialogue_flow = dialogue_flow
def run(self, ngrams: Ngrams, vars: Dict[str, Any], args: List[Any]):
for state in args:
if ':' in state:
component, state = state.split(':')
enter = self.dialogue_flow.composite_dialogue_flow().\
state_settings(component, state).enter
else:
enter = self.dialogue_flow.state_settings(state).enter
if enter is not None and enter.generate() is None:
return False
return True
class ClearGoalStack(Macro):
def run(self, ngrams: Ngrams, vars: Dict[str, Any], args: List[Any]):
vars['__stack__'] = []
vars['__goal__'] = 'None'
vars['__goal_return_state__'] = 'None'
vars['__goal_return_phrase__'] = 'None'
vars['__goal_doom_counter__'] = 'None'
class GoalPursuit(Macro):
"""
Begin pursuing a goal.
This sets the current goal to the specified goal, and any outstanding current goal
will be saved by being pushed onto the goal stack.
Goals pushed onto the stack are of the form:
[goal id str, return state str, return phrase str, doom counter int]
"""
def __init__(self, goal_exit_macro, df=None):
self.goal_exit_macro = goal_exit_macro
self.df = df
def run(self, ngrams: Ngrams, vars: Dict[str, Any], args: List[Any]):
if '__stack__' not in vars:
vars['__stack__'] = []
if '__goal__' not in vars:
vars['__goal__'] = 'None'
if '__goal_return_state__' not in vars:
vars['__goal_return_state__'] = 'None'
goal = args[0]
self.goal_exit_macro.run(ngrams, vars, args)
vars['__goal__'] = goal
class GoalCompletion(Macro):
"""
Complete either the current goal, or a specified goal that
is either the current goal or the first matching on the stack.
If a goal to complete is specified but not in the stack, this
macro does nothing.
"""
def __init__(self, dialogue_flow):
self.dialogue_flow = dialogue_flow
def run(self, ngrams: Ngrams, vars: Dict[str, Any], args: List[Any]):
goal = None
if len(args) == 1:
goal = args[0]
if goal is None or '__goal__' not in vars or goal == vars['__goal__']:
vars['__goal__'] = 'None'
else:
stack = vars['__stack__']
for i in range(len(stack) - 1, -1, -1):
if stack[i][0] == goal:
del stack[i]
break
class GoalExit(Macro):
"""
Exit a goal, pushing the current goal onto the stack.
"""
def __init__(self, dialogue_flow):
self.dialogue_flow = dialogue_flow
self.default_return_phrase = ''
self.default_doom_counter = None
def goal_return_state(self, goal, vars):
if '__goal_return_state__' in vars and vars['__goal_return_state__'] != 'None':
grs = vars['__goal_return_state__']
vars['__goal_return_state__'] = 'None'
return grs
elif goal in self.dialogue_flow.goals() and self.dialogue_flow.goals()[goal]['return_state']:
return self.dialogue_flow.goals()[goal]['return_state']
else:
return vars['__system_state__']
def goal_return_phrase(self, goal, vars):
if '__goal_return_phrase__' in vars and vars['__goal_return_phrase__'] != 'None':
grp = vars['__goal_return_phrase__']
vars['__goal_return_phrase__'] = 'None'
return grp
elif goal in self.dialogue_flow.goals() and self.dialogue_flow.goals()[goal]['return_phrase']:
return self.dialogue_flow.goals()[goal]['return_phrase']
else:
return ''
def goal_doom_counter(self, goal, vars):
if '__goal_doom_counter__' in vars and vars['__goal_doom_counter__'] != 'None':
gdc = vars['__goal_doom_counter__']
vars['__goal_doom_counter__'] = 'None'
return gdc
elif goal in self.dialogue_flow.goals() and self.dialogue_flow.goals()[goal]['doom_counter']:
return self.dialogue_flow.goals()[goal]['doom_counter']
else:
return 'None'
def run(self, ngrams: Ngrams, vars: Dict[str, Any], args: List[Any]):
if '__goal__' not in vars:
vars['__goal__'] = 'None'
if vars['__goal__'] != 'None':
push_goal_id = vars['__goal__']
push_goal_state = self.goal_return_state(push_goal_id, vars)
if self.dialogue_flow.composite_dialogue_flow():
push_goal_state = self.dialogue_flow.composite_dialogue_flow().controller_name() \
+ ':' + push_goal_state
push_goal_return_phrase = self.goal_return_phrase(push_goal_id, vars)
push_goal_doom_counter = self.goal_doom_counter(push_goal_id, vars)
push_goal = [push_goal_id, push_goal_state, push_goal_return_phrase, push_goal_doom_counter]
vars['__stack__'].append(push_goal)
vars['__goal__'] = 'None'
class GoalReturn(Macro):
"""
Return to the specified goal, or the first goal on the stack.
Specifying a goal is used for situations where control is taken from a
goal flow, but the sub-convo actually ends up serving one of the goals
in the stack. In this case, a transition to the appropriate goal flow
point can be taken with GoalResume(resumed_goal) called in order to
return to the goal without any awkward return phrase.
An optional second argument can be used to return to a specific state.
An optional third argument can be used for a desired return phrase.
"""
def __init__(self, dialogue_flow):
self.dialogue_flow = dialogue_flow
def run(self, ngrams: Ngrams, vars: Dict[str, Any], args: List[Any]):
goal = None
if len(args) > 0 and args[0] != 'None':
goal = args[0]
vars['__goal__'] = 'None'
while vars['__stack__']:
id, state, phrase, doom = vars['__stack__'].pop()
if doom != 'None' and doom <= 0:
continue
if goal is not None and goal != id:
continue
if len(args) > 1 and args[1] != 'None' and args[1] != '':
state = args[1]
if len(args) > 2:
phrase = args[2]
vars['__target__'] = state
vars['__goal__'] = id
return phrase
class SetGoalReturnPoint(Macro):
def run(self, ngrams: Ngrams, vars: Dict[str, Any], args: List[Any]):
vars['__goal_return_state__'] = args[0]
class Target(Macro):
def run(self, ngrams: Ngrams, vars: Dict[str, Any], args: List[Any]):
if '__target__' not in vars or (vars['__target__'] is None or vars['__target__'] == 'None'):
vars['__target__'] = args[0]
class Rewrite(Macro):
"""
Macro that rewrites substrings with the string specified as an arg.
Substrings to rewrite are specified by setting vars prefixed by '__rw',
as in __rw_1__
"""
def run(self, ngrams: Ngrams, vars: Dict[str, Any], args: List[Any]):
nl = vars['__user_utterance__']
rewrite = ', '.join(args)
todelete = []
torewrite = []
for var, val in vars.items():
if '__rw' in var:
torewrite.append(val)
todelete.append(var)
cap = r'\b(?:{})\b'.format('|'.join(torewrite))
matches = list(re.finditer(cap, nl))
for match in matches[::-1]:
i, j = match.span()
nl = nl[:i] + rewrite + nl[j:]
for el in todelete:
del vars[el]
vars['__user_utterance__'] = nl
class ExpandContractions(Macro):
def __init__(self):
contractions = {
"aint": "is not",
"arent": "are not",
"cant": "can not",
"cantve": "can not have",
"cause": "because",
"couldve": "could have",
"couldnt": "could not",
"couldntve": "could not have",
"didnt": "did not",
"doesnt": "does not",
"dont": "do not",
"hadnt": "had not",
"hasnt": "has not",
"havent": "have not",
"hed": "he would",
"hedve": "he would have",
"hes": "he is",
"howd": "how did",
"howll": "how will",
"hows": "how is",
"idve": "I would have",
"illve": "I will have",
"im": "I am",
"ive": "I have",
"isnt": "is not",
"itd": "it would",
"itll": "it will",
"its": "it is",
"lets": "let us",
"mightve": "might have",
"mustve": "must have",
"mustnt": "must not",
"shed": "she would",
"shell": "she will",
"shes": "she is",
"shouldve": "should have",
"shouldnt": "should not",
"shouldntve": "should not have",
"sos": "so is",
"thats": "that is",
"thered": "there would",
"theredve": "there would have",
"theres": "there is",
"theyd": "they would",
"theyll": "they will",
"theyre": "they are",
"theyve": "they have",
"wanna": "want to",
"wasnt": "was not",
"wed": "we would",
"wedve": "we would have",
"weve": "we have",
"werent": "were not",
"whatll": "what will",
"whatre": "what are",
"whats": "what is",
"whatve": "what have",
"whens": "when is",
"whenve": "when have",
"whered": "where did",
"wheres": "where is",
"whereve": "where have",
"wholl": "who will",
"whollve": "who will have",
"whos": "who is",
"whove": "who have",
"whys": "why is",
"whyve": "why have",
"willve": "will have",
"wont": "will not",
"wontve": "will not have",
"wouldve": "would have",
"wouldnt": "would not",
"wouldntve": "would not have",
"yall": "you all",
"yallre": "you all are",
"yallve": "you all have",
"youd": "you would",
"youdve": "you would have",
"youll": "you will",
"youllve": "you will have",
"youre": "you are",
"youve": "you have"
}
self.contractions = {''.join([a.lower() for a in k if a.isalpha() or a == ' ']): v.lower() for k, v in contractions.items()}
self.re = r'\b(?:{})\b'.format('|'.join(self.contractions.keys()))
def run(self, ngrams: Ngrams, vars: Dict[str, Any], args: List[Any]):
nl = vars['__user_utterance__']
matches = list(re.finditer(self.re, nl))
for match in matches[::-1]:
i, j = match.span()
nl = nl[:i] + self.contractions[match.group()] + nl[j:]
vars['__user_utterance__'] = nl
return True
class CheckNotComponent(Macro):
"""
Determines if the current controller of a CompositeDialogueFlow is not a specified component
If equal,
return False
Otherwise,
return True
"""
def __init__(self, dialogue_flow):
self.dialogue_flow = dialogue_flow
def run(self, ngrams: Ngrams, vars: Dict[str, Any], args: List[Any]):
if args[0] in {'movies','music','external_news','sports'}:
if self.dialogue_flow.state()[1] == args[0].lower():
return False
elif self.dialogue_flow.controller_name().lower() == args[0].lower():
return False
return True
class ExtractList(Macro):
"""
Extracts all matching phrases from user utterance, given ontology categories or phrase literals, and
stores them in the provided variable name as a list
args:
[0] - variable name
[1 - n] - ontology categories and phrase literals
"""
def __init__(self, kb):
self.onte = ONTE(kb)
def run(self, ngrams: Ngrams, vars: Dict[str, Any], args: List[Any]):
var = args[0]
if var not in vars or vars[var] == 'None':
vars[var] = set()
# find matches
matches = self.onte(ngrams, None, args[1:])
matches.update({arg for arg in args[1:] if arg in ngrams})
vars[var].update(matches)
return matches
class Contains(Macro):
def run(self, ngrams: Ngrams, vars: Dict[str, Any], args: List[Any]):
if isinstance(args[0], str) and args[0][0] == '$':
var = args[0][1:]
if var not in vars:
return False
args[0] = vars[var]
if isinstance(args[1], str) and args[1][0] == '$':
var = args[1][1:]
if var not in vars:
return False
args[1] = vars[var]
return args[0] in args[1]
class RandomSet(Macro):
def run(self, ngrams: Ngrams, vars: Dict[str, Any], args: List[Any]):
vars[args[0]] = random.choice(args[1:])
class Repeat(Macro):
def run(self, ngrams: Ngrams, vars: Dict[str, Any], args: List[Any]):
if '__goal_return_state__(copy)' in vars:
vars['__goal_return_state__'] = vars['__goal_return_state__(copy)']
del vars['__goal_return_state__(copy)']
if '__selected_response__' in vars and len(vars['__selected_response__']) > 0:
return 'Sure. What I said was, ' + vars['__selected_response__']
else:
return 'Sorry, I\'m not sure how to repeat what I said.'
class CopyGoalReturn(Macro):
def run(self, ngrams: Ngrams, vars: Dict[str, Any], args: List[Any]):
copy_name = '__goal_return_state__(copy)'
if '__goal_return_state__' in vars and vars['__goal_return_state__'] != 'None':
vars[copy_name] = vars['__goal_return_state__']
else:
vars[copy_name] = vars['__system_state__']
_conjunction_macro = CheckVarsConjunction()
macros_common_dict = {
'RW': Rewrite(),
'CONTRACTIONS': ExpandContractions(),
'SBS': ScoreBySimilarity(),
'TARGET': Target(),
'DEFAULT': Default(),
'INT': Intent(),
'UNSET': Unset(),
'CLR': Clear(),
'NER': NamedEntity(),
'POS': PartOfSpeech(),
'LEM': Lemma(),
'SCORE': Score(),
'TOKLIMIT': TokLimit(),
'EQ': Equal(),
'NOT': NOT(),
'U': UnionMacro(),
'I': Intersection(),
'DIF': Difference(),
'SET': SetVars(),
'ALL': _conjunction_macro,
'IF': _conjunction_macro,
'ANY': CheckVarsDisjunction(),
'ISP': IsPlural(),
'IN': Contains(),
'RAND': RandomSet(),
'COPYGR': CopyGoalReturn(),
'REPEAT': Repeat()
}
| {"/emora_stdm/state_transition_dialogue_manager/process_wordnet_data.py": ["/emora_stdm/state_transition_dialogue_manager/wordnet.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/state_transition_dialogue_manager/macro.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/modules/ontology_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/wordnet.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_utilities.py": ["/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/modules/multiple_components_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_composite_dialogue_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/memory.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/database.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/settings.py", "/emora_stdm/state_transition_dialogue_manager/stochastic_options.py", "/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py", "/emora_stdm/state_transition_dialogue_manager/state.py", "/emora_stdm/state_transition_dialogue_manager/update_rules.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_json_style_dialogue_flow.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_test_natex.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_natex_nlg.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/modules/macro_definition_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/modules/hello_world_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/chat_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py"], "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py": ["/emora_stdm/state_transition_dialogue_manager/stochastic_options.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py"], "/emora_stdm/modules/update_rules_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_update_rules.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py": ["/emora_stdm/state_transition_dialogue_manager/database.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/__init__.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/update_rules.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_settings.py": ["/emora_stdm/state_transition_dialogue_manager/settings.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_stochastic_options.py": ["/emora_stdm/state_transition_dialogue_manager/stochastic_options.py"], "/emora_stdm/modules/natex_compilation.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_stack.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py"], "/emora_stdm/modules/sigdial_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_natex_nlu.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py"], "/emora_stdm/modules/interoperability_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/update_rules.py": ["/emora_stdm/state_transition_dialogue_manager/update_rule.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/modules/reasoning_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/macros_common.py": ["/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/memory.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/wordnet.py"], "/emora_stdm/state_transition_dialogue_manager/update_rule.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_state.py": ["/emora_stdm/state_transition_dialogue_manager/state.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_macros.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_knowledge_base.py": ["/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_composite_dialogue_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_ngrams.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/state_transition_dialogue_manager/natex_common.py": ["/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py"]} |
60,296 | dwtcourses/emora_stdm | refs/heads/master | /emora_stdm/state_transition_dialogue_manager/ngrams.py |
class Ngrams(set):
def __init__(self, text, n=None):
self.update(text, n)
def update(self, text, n=None):
set.__init__(self)
if '_END_' == text[-5:]:
text = text[:-5]
self._text = text
self._string = ''.join([c.lower() for c in text if c.isalpha() or c == ' '])
tokens = text.split()
if n is None:
n = len(tokens)
self._n = [set() for _ in range(n + 1)]
all_grams = []
for gram, l in self._all_n_grams(tokens, n):
self._n[l].add(gram)
all_grams.append(gram)
set.update(self, all_grams)
def n(self, number_tokens):
return self._n[number_tokens]
def text(self):
return self._text
def string(self):
return self._string
def _all_n_grams(self, tokens, n):
for l in range(n, 0, -1):
for i in range(0, len(tokens) - l + 1):
gram = ' '.join(tokens[i:i+l])
yield gram, l
def __getitem__(self, item):
return self.n(item) | {"/emora_stdm/state_transition_dialogue_manager/process_wordnet_data.py": ["/emora_stdm/state_transition_dialogue_manager/wordnet.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/state_transition_dialogue_manager/macro.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/modules/ontology_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/wordnet.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_utilities.py": ["/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/modules/multiple_components_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_composite_dialogue_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/memory.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/database.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/settings.py", "/emora_stdm/state_transition_dialogue_manager/stochastic_options.py", "/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py", "/emora_stdm/state_transition_dialogue_manager/state.py", "/emora_stdm/state_transition_dialogue_manager/update_rules.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_json_style_dialogue_flow.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_test_natex.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_natex_nlg.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/modules/macro_definition_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/modules/hello_world_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/chat_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py"], "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py": ["/emora_stdm/state_transition_dialogue_manager/stochastic_options.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py"], "/emora_stdm/modules/update_rules_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_update_rules.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py": ["/emora_stdm/state_transition_dialogue_manager/database.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/__init__.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/update_rules.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_settings.py": ["/emora_stdm/state_transition_dialogue_manager/settings.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_stochastic_options.py": ["/emora_stdm/state_transition_dialogue_manager/stochastic_options.py"], "/emora_stdm/modules/natex_compilation.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_stack.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py"], "/emora_stdm/modules/sigdial_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_natex_nlu.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py"], "/emora_stdm/modules/interoperability_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/update_rules.py": ["/emora_stdm/state_transition_dialogue_manager/update_rule.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/modules/reasoning_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/macros_common.py": ["/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/memory.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/wordnet.py"], "/emora_stdm/state_transition_dialogue_manager/update_rule.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_state.py": ["/emora_stdm/state_transition_dialogue_manager/state.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_macros.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_knowledge_base.py": ["/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_composite_dialogue_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_ngrams.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/state_transition_dialogue_manager/natex_common.py": ["/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py"]} |
60,297 | dwtcourses/emora_stdm | refs/heads/master | /emora_stdm/state_transition_dialogue_manager/update_rule.py |
import regex
from emora_stdm.state_transition_dialogue_manager.natex_nlu import NatexNLU
from emora_stdm.state_transition_dialogue_manager.natex_nlg import NatexNLG
class UpdateRule:
def __init__(self, precondition, postcondition='', vars=None, macros=None):
self.precondition = None
self.precondition_score = 1.0
self.postcondition = None
self.postcondition_score = None
self.is_repeating = len(precondition) > 0 and precondition[0] == '*'
if self.is_repeating:
precondition = precondition[1:]
if macros is None:
macros = {}
if vars is None:
vars = {}
self.vars = vars
self.macros = macros
self.set_precondition(precondition)
if postcondition:
self.set_postcondition(postcondition)
def set_precondition(self, natex_string):
natex, score = self._natex_string_score(natex_string)
self.precondition = NatexNLU(natex, macros=self.macros)
if score:
self.precondition_score = score
def set_postcondition(self, natex_string):
natex, score = self._natex_string_score(natex_string)
self.postcondition = NatexNLG(natex, macros=self.macros)
self.postcondition_score = score
def _natex_string_score(self, natex_string):
i = natex_string.rfind(' (')
if i != -1:
for c in natex_string[i + len(' ('):-1]:
if c not in set('0123456789.'):
return natex_string, None
return natex_string[:i], float(natex_string[i + len(' ('):-1])
return natex_string, None
def satisfied(self, user_input, vars, debugging=False):
return self.precondition.match(user_input, vars=vars, debugging=debugging)
def apply(self, vars, debugging=False):
if self.postcondition is not None:
return self.postcondition.generate(vars=vars, debugging=debugging)
else:
return ''
def set_vars(self, vars):
self.vars = vars
def __str__(self):
return '{} ==> {}'.format(self.precondition, self.postcondition)
def __repr__(self):
return str(self)
| {"/emora_stdm/state_transition_dialogue_manager/process_wordnet_data.py": ["/emora_stdm/state_transition_dialogue_manager/wordnet.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/state_transition_dialogue_manager/macro.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/modules/ontology_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/wordnet.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_utilities.py": ["/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/modules/multiple_components_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_composite_dialogue_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/memory.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/database.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/settings.py", "/emora_stdm/state_transition_dialogue_manager/stochastic_options.py", "/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py", "/emora_stdm/state_transition_dialogue_manager/state.py", "/emora_stdm/state_transition_dialogue_manager/update_rules.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_json_style_dialogue_flow.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_test_natex.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_natex_nlg.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/modules/macro_definition_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/modules/hello_world_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/chat_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py"], "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py": ["/emora_stdm/state_transition_dialogue_manager/stochastic_options.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py"], "/emora_stdm/modules/update_rules_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_update_rules.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py": ["/emora_stdm/state_transition_dialogue_manager/database.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/__init__.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/update_rules.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_settings.py": ["/emora_stdm/state_transition_dialogue_manager/settings.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_stochastic_options.py": ["/emora_stdm/state_transition_dialogue_manager/stochastic_options.py"], "/emora_stdm/modules/natex_compilation.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_stack.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py"], "/emora_stdm/modules/sigdial_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_natex_nlu.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py"], "/emora_stdm/modules/interoperability_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/update_rules.py": ["/emora_stdm/state_transition_dialogue_manager/update_rule.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/modules/reasoning_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/macros_common.py": ["/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/memory.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/wordnet.py"], "/emora_stdm/state_transition_dialogue_manager/update_rule.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_state.py": ["/emora_stdm/state_transition_dialogue_manager/state.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_macros.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_knowledge_base.py": ["/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_composite_dialogue_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_ngrams.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/state_transition_dialogue_manager/natex_common.py": ["/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py"]} |
60,298 | dwtcourses/emora_stdm | refs/heads/master | /emora_stdm/test_state_transition_dialogue_manager/test_state.py |
from emora_stdm.state_transition_dialogue_manager.state import State
from enum import Enum
def test_enum_string_state():
class MyStates(Enum):
A = 0
B = 1
s1 = State(MyStates.A)
s2 = State('MyStates.A')
assert s1 == s2
assert s1 == 'MyStates.A'
assert s1 == MyStates.A
assert s2 == s1
assert s2 == 'MyStates.A'
assert s2 == MyStates.A
def test_enum_tuple_state():
class MyStates(Enum):
A = 0
B = 1
s1 = State(MyStates.B)
s2 = State('MyStates.B')
s3 = State(('hello', 'MyStates.B'))
assert s3[1] == s2
assert s3[1] == s1
| {"/emora_stdm/state_transition_dialogue_manager/process_wordnet_data.py": ["/emora_stdm/state_transition_dialogue_manager/wordnet.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/state_transition_dialogue_manager/macro.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/modules/ontology_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/wordnet.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_utilities.py": ["/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/modules/multiple_components_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_composite_dialogue_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/memory.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/database.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/settings.py", "/emora_stdm/state_transition_dialogue_manager/stochastic_options.py", "/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py", "/emora_stdm/state_transition_dialogue_manager/state.py", "/emora_stdm/state_transition_dialogue_manager/update_rules.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_json_style_dialogue_flow.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_test_natex.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_natex_nlg.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/modules/macro_definition_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/modules/hello_world_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/chat_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py"], "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py": ["/emora_stdm/state_transition_dialogue_manager/stochastic_options.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py"], "/emora_stdm/modules/update_rules_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_update_rules.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py": ["/emora_stdm/state_transition_dialogue_manager/database.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/__init__.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/update_rules.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_settings.py": ["/emora_stdm/state_transition_dialogue_manager/settings.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_stochastic_options.py": ["/emora_stdm/state_transition_dialogue_manager/stochastic_options.py"], "/emora_stdm/modules/natex_compilation.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_stack.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py"], "/emora_stdm/modules/sigdial_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_natex_nlu.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py"], "/emora_stdm/modules/interoperability_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/update_rules.py": ["/emora_stdm/state_transition_dialogue_manager/update_rule.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/modules/reasoning_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/macros_common.py": ["/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/memory.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/wordnet.py"], "/emora_stdm/state_transition_dialogue_manager/update_rule.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_state.py": ["/emora_stdm/state_transition_dialogue_manager/state.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_macros.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_knowledge_base.py": ["/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_composite_dialogue_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_ngrams.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/state_transition_dialogue_manager/natex_common.py": ["/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py"]} |
60,299 | dwtcourses/emora_stdm | refs/heads/master | /emora_stdm/test_state_transition_dialogue_manager/test_macros.py |
import pytest
from emora_stdm import NatexNLU, NatexNLG
from emora_stdm.state_transition_dialogue_manager.macros_common import *
from emora_stdm.state_transition_dialogue_manager.natex_common import *
from emora_stdm.state_transition_dialogue_manager.knowledge_base import KnowledgeBase
from emora_stdm.state_transition_dialogue_manager.dialogue_flow import DialogueFlow
from emora_stdm.state_transition_dialogue_manager.composite_dialogue_flow import CompositeDialogueFlow
from time import time
kb = KnowledgeBase([
('lion', 'type', 'cat'),
('panther', 'type', 'cat'),
('cat', 'type', 'animal'),
('animal', 'type', 'thing'),
('lion', 'sound', 'roar'),
('roar', 'quality', 'loud'),
('panther', 'sound', 'growl'),
('growl', 'quality', 'scary'),
('also', 'type', 'also_syns'),
('too', 'type', 'also_syns'),
('basketball', 'type', 'unknown_hobby'),
('basketball', 'expr', 'bball'),
('john', 'type', 'male'),
('mary', 'type', 'female'),
('male', 'type', 'person'),
('female', 'type', 'person'),
('friend', 'type', 'person')
])
ont = {
"ontology": {
"person": [
"mom",
"dad",
"sister",
"brother"
]
}
}
kb.load_json(ont)
df = DialogueFlow(initial_state='start')
df.add_state('start', 'start')
df.add_system_transition('start', 'start', 'hello')
macros = {
'ONT': ONTE(kb),
'KBQ': KBE(kb),
'EXP': EXP(kb),
'U': UnionMacro(),
'I': Intersection(),
'DIF': Difference(),
'SET': SetVars(),
'ALL': CheckVarsConjunction(),
'ANY': CheckVarsDisjunction(),
'NOT': NOT(),
'ISP': IsPlural(),
'FPP': FirstPersonPronoun(kb),
'PSP': PossessivePronoun(kb),
'TPP': ThirdPersonPronoun(kb),
'EQ': Equal(),
'GATE': Gate(df),
'CLR': Clear(),
'NER': NamedEntity(),
'LEM': Lemma(),
'AGREE': Agree(),
'DISAGREE': Disagree(),
'QUESTION': Question(),
'NEGATION': Negation(),
'SENTIMENT': Sentiment(),
'EXTR': ExtractList(kb)
}
def test_ONT():
natex = NatexNLU('[!look its a #ONT(cat)]', macros=macros)
assert natex.match('look its a lion', debugging=False)
assert natex.match('look its a panther')
assert not natex.match('look its a animal')
def test_ONT_lemmatizer():
natex = NatexNLU('[!look at the #ONT(cat)]', macros=macros)
assert natex.match('look at the lions', debugging=False)
def test_KBQ():
natex = NatexNLG('[!hear the lion #KBQ(lion, sound)]', macros=macros)
assert natex.generate(debugging=False) == 'hear the lion roar'
natex = NatexNLG('[!the panther is #KBQ(panther, sound, quality)]', macros=macros)
assert natex.generate(debugging=False) == 'the panther is scary'
def test_EXP():
natex = NatexNLU('[!i play #EXP(basketball)]', macros=macros)
assert natex.match('i play bball')
assert natex.match('i play basketball')
assert not natex.match('i play soccer')
# def test_WN():
# debugging = True
# if debugging:
# macro = WN()
# print(macro(None, {}, ['emotion']))
# natex = NatexNLU('[!i feel #WN(emotion)]', macros={'WN': WN()})
# assert natex.match('i feel happy')
# assert natex.match('i feel sad')
# assert natex.match('i feel joyful')
# assert natex.match('i feel worrying')
# assert natex.match('i feel worried')
# assert not natex.match('i am person')
# assert not natex.match('i am green')
def test_NOT():
natex = NatexNLU('[!#NOT(#U(hello, there)) [dog]]', macros=macros)
assert natex.match('hi dog', debugging=True)
assert not natex.match('hello dog')
assert not natex.match('hi there dog')
assert not natex.match('oh dog hello')
def test_UNION():
natex = NatexNLU('#U(hello, there, world)', macros=macros)
assert natex.match('hello')
assert natex.match('world')
assert not natex.match('something')
natex = NatexNLU('#U(hello, there, #U(world, earth), #U(you, me))', macros=macros)
assert natex.match('there', debugging=False)
assert natex.match('world')
assert natex.match('you')
assert not natex.match('something')
def test_INTERSECTION():
natex = NatexNLU('#I(#U(hello, there, you), #U(hello, are, you))', macros=macros)
assert natex.match('hello')
assert natex.match('you')
assert not natex.match('there')
assert not natex.match('are')
def test_DIFFERENCE():
natex = NatexNLU('#DIF(#U(hello, there, you), #U(there))', macros=macros)
assert natex.match('hello')
assert natex.match('you')
assert not natex.match('there')
def test_SET():
vars = {'a': 'apple', 'b': 'banana'}
natex = NatexNLU('[!#SET($a=pie), hello world]', macros=macros)
assert natex.match('hello world', vars=vars, debugging=False)
assert vars['a'] == 'pie'
assert vars['b'] == 'banana'
def test_ALL():
natex = NatexNLU('[!#ALL($a=apple, $b=banana), hello]', macros=macros)
assert natex.match('hello', vars={'a': 'apple', 'b': 'banana'})
assert not natex.match('hello', vars={'a': 'apple', 'b': 'bog'})
assert not natex.match('hello', vars={'b':'banana'})
def test_ANY():
natex = NatexNLU('[!#ANY($a=apple, $b=banana), hello]', macros=macros)
assert natex.match('hello', vars={'a': 'apple', 'b': 'banana'})
assert natex.match('hello', vars={'a': 'apple', 'b': 'bog'})
assert natex.match('hello', vars={'b': 'banana'})
assert not natex.match('hello', vars={'c': 'cat'})
def test_ISP():
natex = NatexNLU('#ISP($X)', macros=macros)
assert natex.match('hello', vars={'X': 'dogs'}, debugging=True)
assert not natex.match('hello', vars={'X': 'dog'})
def test_FPP():
natex = NatexNLG('[!#FPP(john) went to the store]', macros=macros)
assert natex.generate() == 'he went to the store'
natex = NatexNLG('[!#FPP(mary) went to the store]', macros=macros)
assert natex.generate() == 'she went to the store'
natex = NatexNLG('[!#FPP(friends) went to the store]', macros=macros)
assert natex.generate() == 'they went to the store'
natex = NatexNLG('[!#FPP(cat) went to the store]', macros=macros)
assert natex.generate() == 'it went to the store'
def test_PSP():
natex = NatexNLG('[!#PSP(john) book]', macros=macros)
assert natex.generate() == 'his book'
natex = NatexNLG('[!#PSP(mary) book]', macros=macros)
assert natex.generate() == 'her book'
natex = NatexNLG('[!#PSP(friends) book]', macros=macros)
assert natex.generate() == 'their book'
natex = NatexNLG('[!#PSP(cat) book]', macros=macros)
assert natex.generate() == 'its book'
def test_TPP():
natex = NatexNLG('[!killed #TPP(john)]', macros=macros)
assert natex.generate() == 'killed him'
natex = NatexNLG('[!killed #TPP(mary)]', macros=macros)
assert natex.generate() == 'killed her'
natex = NatexNLG('[!killed #TPP(friends)]', macros=macros)
assert natex.generate() == 'killed them'
natex = NatexNLG('[!killed #TPP(cat)]', macros=macros)
assert natex.generate() == 'killed it'
def test_EQ():
vars = {'animal': 'cat', 'focus': 'dog'}
natex = NatexNLG('#EQ($animal, $focus)', macros=macros)
assert natex.generate(vars=vars) is None
vars['focus'] = 'cat'
assert natex.generate(vars=vars) == ''
# def test_NER():
# natex = NatexNLU('[this is a test for #NER()]', macros=macros)
# match = natex.match('this is a test for America by Mike', debugging=False)
# assert match
# natex = NatexNLU('[this is a test for #NER(person)]', macros=macros)
# match = natex.match('this is a test for America', debugging=False)
# assert not match
# natex = NatexNLU('[this is a test for #NER(person)]', macros=macros)
# match = natex.match('this is a test for Mike', debugging=False)
# assert match
# natex = NatexNLU('[this is a test for #NER(person)]', macros=macros)
# match = natex.match('this is a test for someone', debugging=False)
# assert not match
def test_LEM():
natex = NatexNLU('[Swimming has same lemma as #LEM(swim)]', macros=macros)
match = natex.match('Swimming has same lemma as swim', debugging=True)
assert match
match = natex.match('Swimming has same lemma as swims', debugging=False)
assert match
match = natex.match('Swimming has same lemma as running', debugging=False)
assert not match
natex = NatexNLU('[good lemmas #LEM(good)]', macros=macros)
match = natex.match('good lemmas are good', debugging=False)
assert match
match = natex.match('good lemmas are better', debugging=False)
assert match
match = natex.match('good lemmas are wonderful', debugging=False)
assert not match
def test_AGREE():
natex = NatexNLU('#AGREE', macros=macros)
match = natex.match('yes', debugging=False)
assert match
match = natex.match('of course', debugging=False)
assert match
match = natex.match('i dont know', debugging=False)
assert not match
match = natex.match('no', debugging=False)
assert not match
match = natex.match('definitely', debugging=False)
assert match
match = natex.match('definitely not', debugging=False)
assert not match
natex = NatexNLU('{#AGREE, [i,am,#NOT(not)]}', macros=macros)
match = natex.match('yes', debugging=False)
assert match
match = natex.match('of course', debugging=False)
assert match
match = natex.match('no', debugging=False)
assert not match
match = natex.match('definitely', debugging=False)
assert match
match = natex.match('definitely not', debugging=False)
assert not match
match = natex.match('i am', debugging=False)
assert match
match = natex.match('i am not', debugging=False)
assert not match
def test_DISAGREE():
natex = NatexNLU('#DISAGREE', macros=macros)
match = natex.match('yes', debugging=False)
assert not match
match = natex.match('of course', debugging=False)
assert not match
match = natex.match('i do not think so', debugging=False)
assert match
match = natex.match('i think so', debugging=False)
assert not match
match = natex.match('no', debugging=False)
assert match
match = natex.match('definitely', debugging=False)
assert not match
match = natex.match('definitely not', debugging=False)
assert match
natex = NatexNLU('{#DISAGREE, [i,am,not]}', macros=macros)
match = natex.match('yes', debugging=False)
assert not match
match = natex.match('of course', debugging=False)
assert not match
match = natex.match('no', debugging=False)
assert match
match = natex.match('definitely', debugging=False)
assert not match
match = natex.match('definitely not', debugging=False)
assert match
match = natex.match('i am', debugging=False)
assert not match
match = natex.match('i am not', debugging=False)
assert match
def test_QUESTION():
natex = NatexNLU('#QUESTION', macros=macros)
match = natex.match('who are you', debugging=False)
assert match
match = natex.match('what did you do today', debugging=False)
assert match
match = natex.match('i dont know', debugging=False)
assert not match
match = natex.match('i saw what he was talking about', debugging=False)
assert not match
def test_NEGATION():
natex = NatexNLU('[{i,you,it} #NEGATION {go,see}]', macros=macros)
match = natex.match('you cannot see', debugging=False)
assert match
match = natex.match('i didnt go', debugging=False)
assert match
match = natex.match('i never go', debugging=False)
assert match
match = natex.match('it is', debugging=False)
assert not match
match = natex.match('i go', debugging=False)
assert not match
def test_virtual_transitions():
df = DialogueFlow('root')
transitions = {
'state': 'root',
'hello': {
'state': 'test',
'a': {
'something typical': 'nope'
},
'#VT(other)': 'blah'
},
'not taken':{
'state': 'other',
'score': 0,
'x': {
'you win':{
'state': 'success'
}
},
'y': {
'you win': {
'state': 'success'
}
}
}
}
df.load_transitions(transitions)
df.system_turn()
assert df.state() == 'test'
df.user_turn('x', debugging=True)
assert df.system_turn() == 'you win'
assert df.state() == 'success'
def test_virtual_transitions_cross_module():
df = DialogueFlow('root')
transitions = {
'state': 'root',
'hello': {
'state': 'test',
'a': {
'something typical'
},
'#VT(two:other)': 'blah'
}
}
df.load_transitions(transitions)
df2 = DialogueFlow('r2')
transitions2 = {
'not taken': {
'state': 'other',
'score': 0,
'x': {
'you win': {
'state': 'success'
}
},
'y': {
'you win': {
'state': 'success'
}
}
}
}
df2.load_transitions(transitions2)
cdf = CompositeDialogueFlow('one:root', 'e', 'e')
cdf.add_component(df, 'one')
cdf.add_component(df2, 'two')
cdf.set_state('one:root')
cdf.system_turn()
assert cdf.state() == ('one', 'test')
cdf.user_turn('x', debugging=True)
assert cdf.system_turn() == 'you win'
assert cdf.state() == ('two', 'success')
def test_sentiment_analysis():
nlu = NatexNLU('#SENTIMENT(pos)', macros=macros)
assert nlu.match('this is awesome')
assert not nlu.match('this is terrible')
assert not nlu.match('this is something')
def test_extract_list():
vars={}
nlu = NatexNLU('[#EXTR(family,person)]', macros=macros)
assert nlu.match('mom', vars=vars)
assert "family" in vars
assert isinstance(vars["family"], set)
assert "mom" in vars["family"]
vars.clear()
assert nlu.match('i have a mom dad and a sister', vars=vars)
assert "family" in vars
assert isinstance(vars["family"], set)
assert "mom" in vars["family"]
assert "dad" in vars["family"]
assert "sister" in vars["family"]
nlu = NatexNLU('[#EXTR(family,dog,person,cat)]', macros=macros)
assert nlu.match('my dog and cat are my family but i also have a mom and sister', vars=vars)
assert "family" in vars
assert isinstance(vars["family"], set)
assert "mom" in vars["family"]
assert "sister" in vars["family"]
assert "dog" in vars["family"]
assert "cat" in vars["family"]
assert nlu.match('oh yeah brother and dad too', vars=vars)
assert "family" in vars
assert isinstance(vars["family"], set)
assert "mom" in vars["family"]
assert "sister" in vars["family"]
assert "dog" in vars["family"]
assert "cat" in vars["family"]
assert "brother" in vars["family"]
assert "dad" in vars["family"]
########################################## BUG TESTS ###############################################
def test_bug_1_ONT():
natex = NatexNLU("[[! #ONT(also_syns)?, i, #ONT(also_syns)?, like, $like_hobby=#ONT(unknown_hobby), #ONT(also_syns)?]]",
macros=macros)
assert natex.match('i also like basketball', debugging=False)
| {"/emora_stdm/state_transition_dialogue_manager/process_wordnet_data.py": ["/emora_stdm/state_transition_dialogue_manager/wordnet.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/state_transition_dialogue_manager/macro.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/modules/ontology_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/wordnet.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_utilities.py": ["/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/modules/multiple_components_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_composite_dialogue_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/memory.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/database.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/settings.py", "/emora_stdm/state_transition_dialogue_manager/stochastic_options.py", "/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py", "/emora_stdm/state_transition_dialogue_manager/state.py", "/emora_stdm/state_transition_dialogue_manager/update_rules.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_json_style_dialogue_flow.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_test_natex.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_natex_nlg.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/modules/macro_definition_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/modules/hello_world_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/chat_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py"], "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py": ["/emora_stdm/state_transition_dialogue_manager/stochastic_options.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py"], "/emora_stdm/modules/update_rules_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_update_rules.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py": ["/emora_stdm/state_transition_dialogue_manager/database.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/__init__.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/update_rules.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_settings.py": ["/emora_stdm/state_transition_dialogue_manager/settings.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_stochastic_options.py": ["/emora_stdm/state_transition_dialogue_manager/stochastic_options.py"], "/emora_stdm/modules/natex_compilation.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_stack.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py"], "/emora_stdm/modules/sigdial_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_natex_nlu.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py"], "/emora_stdm/modules/interoperability_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/update_rules.py": ["/emora_stdm/state_transition_dialogue_manager/update_rule.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/modules/reasoning_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/macros_common.py": ["/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/memory.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/wordnet.py"], "/emora_stdm/state_transition_dialogue_manager/update_rule.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_state.py": ["/emora_stdm/state_transition_dialogue_manager/state.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_macros.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_knowledge_base.py": ["/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_composite_dialogue_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_ngrams.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/state_transition_dialogue_manager/natex_common.py": ["/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py"]} |
60,300 | dwtcourses/emora_stdm | refs/heads/master | /emora_stdm/state_transition_dialogue_manager/database.py |
from structpy.graph.labeled_digraph import MapMultidigraph
class GraphDatabase(MapMultidigraph):
def __init__(self, arcs=None):
MapMultidigraph.__init__(self)
self._node_data = {n: {} for n in self.nodes()}
self._arc_data = {(s, t, l): {} for s, t, l in self.arcs()}
if arcs is not None:
for arc in arcs:
self.add(*arc)
def add_node(self, node):
MapMultidigraph.add_node(self, node)
self._node_data[node] = {}
def add_arc(self, source, target, label=None):
if label is None:
MapMultidigraph.add_arc(self, source, target)
else:
MapMultidigraph.add_arc(self, source, target, label)
self._arc_data[(source, target, label)] = {}
def remove_node(self, node):
MapMultidigraph.remove_node(self, node)
del self._node_data[node]
def remove_arc(self, source, target):
MapMultidigraph.remove_arc(self, source, target)
del self._arc_data[(source, target)]
def data(self, node):
return self._node_data[node]
def arc_data(self, source, target, label=None):
if label is None:
label = MapMultidigraph.label(self, source, target)
return self._arc_data[(source, target, label)]
def update(self, other):
MapMultidigraph.update(self, other)
if hasattr(other, '_node_data'):
self._node_data.update(other._node_data)
if hasattr(other, '_arc_data'):
self._arc_data.update(other._arc_data) | {"/emora_stdm/state_transition_dialogue_manager/process_wordnet_data.py": ["/emora_stdm/state_transition_dialogue_manager/wordnet.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/state_transition_dialogue_manager/macro.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/modules/ontology_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/wordnet.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_utilities.py": ["/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/modules/multiple_components_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_composite_dialogue_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/memory.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/database.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/settings.py", "/emora_stdm/state_transition_dialogue_manager/stochastic_options.py", "/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py", "/emora_stdm/state_transition_dialogue_manager/state.py", "/emora_stdm/state_transition_dialogue_manager/update_rules.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_json_style_dialogue_flow.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_test_natex.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_natex_nlg.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/modules/macro_definition_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/modules/hello_world_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/chat_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py"], "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py": ["/emora_stdm/state_transition_dialogue_manager/stochastic_options.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py"], "/emora_stdm/modules/update_rules_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_update_rules.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py": ["/emora_stdm/state_transition_dialogue_manager/database.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/__init__.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/update_rules.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_settings.py": ["/emora_stdm/state_transition_dialogue_manager/settings.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_stochastic_options.py": ["/emora_stdm/state_transition_dialogue_manager/stochastic_options.py"], "/emora_stdm/modules/natex_compilation.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_stack.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py"], "/emora_stdm/modules/sigdial_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_natex_nlu.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py"], "/emora_stdm/modules/interoperability_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/update_rules.py": ["/emora_stdm/state_transition_dialogue_manager/update_rule.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/modules/reasoning_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/macros_common.py": ["/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/memory.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/wordnet.py"], "/emora_stdm/state_transition_dialogue_manager/update_rule.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_state.py": ["/emora_stdm/state_transition_dialogue_manager/state.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_macros.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_knowledge_base.py": ["/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_composite_dialogue_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_ngrams.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/state_transition_dialogue_manager/natex_common.py": ["/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py"]} |
60,301 | dwtcourses/emora_stdm | refs/heads/master | /emora_stdm/test_state_transition_dialogue_manager/test_knowledge_base.py |
import pytest
from emora_stdm.state_transition_dialogue_manager.knowledge_base import KnowledgeBase
def test_constructor():
kb = KnowledgeBase([
('i', 'like', 'cookies'),
('i', 'like', 'milk'),
('i', 'type', 'person'),
('i', 'type', 'living_thing'),
('cookies', 'quality', 'good')
])
def test_query():
kb = KnowledgeBase([
('i', 'like', 'cookies'),
('i', 'like', 'milk'),
('i', 'type', 'person'),
('i', 'type', 'living_thing'),
('cookies', 'quality', 'good')
])
assert kb.query('i', 'like', 'quality') == {'good'}
def test_ontology():
kb = KnowledgeBase([
('i', 'like', 'cookies'),
('i', 'like', 'milk'),
('i', 'type', 'person'),
('i', 'type', 'living_thing'),
('cookies', 'quality', 'good')
])
assert kb.types('i') == {'person', 'living_thing'}
def test_expressions():
kb = KnowledgeBase([
('i', 'like', 'cookies'),
('i', 'like', 'milk'),
('i', 'type', 'person'),
('i', 'type', 'living_thing'),
('cookies', 'quality', 'good')
])
assert kb.expressions('i') == {'i'}
assert kb.expressions('living_thing') == set()
kb.add_expression('living_thing', 'life')
kb.add_expression('living_thing', 'alive')
assert kb.expressions('living_thing') == {'life', 'alive'} | {"/emora_stdm/state_transition_dialogue_manager/process_wordnet_data.py": ["/emora_stdm/state_transition_dialogue_manager/wordnet.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/state_transition_dialogue_manager/macro.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/modules/ontology_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/wordnet.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_utilities.py": ["/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/modules/multiple_components_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_composite_dialogue_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/memory.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/database.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/settings.py", "/emora_stdm/state_transition_dialogue_manager/stochastic_options.py", "/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py", "/emora_stdm/state_transition_dialogue_manager/state.py", "/emora_stdm/state_transition_dialogue_manager/update_rules.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_json_style_dialogue_flow.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_test_natex.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_natex_nlg.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/modules/macro_definition_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/modules/hello_world_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/chat_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py"], "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py": ["/emora_stdm/state_transition_dialogue_manager/stochastic_options.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py"], "/emora_stdm/modules/update_rules_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_update_rules.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py": ["/emora_stdm/state_transition_dialogue_manager/database.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/__init__.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/update_rules.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_settings.py": ["/emora_stdm/state_transition_dialogue_manager/settings.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_stochastic_options.py": ["/emora_stdm/state_transition_dialogue_manager/stochastic_options.py"], "/emora_stdm/modules/natex_compilation.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_stack.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py"], "/emora_stdm/modules/sigdial_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_natex_nlu.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py"], "/emora_stdm/modules/interoperability_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/update_rules.py": ["/emora_stdm/state_transition_dialogue_manager/update_rule.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/modules/reasoning_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/macros_common.py": ["/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/memory.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/wordnet.py"], "/emora_stdm/state_transition_dialogue_manager/update_rule.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_state.py": ["/emora_stdm/state_transition_dialogue_manager/state.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_macros.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_knowledge_base.py": ["/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_composite_dialogue_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_ngrams.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/state_transition_dialogue_manager/natex_common.py": ["/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py"]} |
60,302 | dwtcourses/emora_stdm | refs/heads/master | /emora_stdm/test_state_transition_dialogue_manager/test_dialogue_flow.py |
import pytest, json
from emora_stdm.state_transition_dialogue_manager.dialogue_flow import DialogueFlow, Speaker
from emora_stdm.state_transition_dialogue_manager.natex_nlu import NatexNLU
from emora_stdm.state_transition_dialogue_manager.natex_nlg import NatexNLG
from enum import Enum
class States(Enum):
A = 0
B = 1
C = 2
D = 3
E = 4
def test_constructor():
df = DialogueFlow(States.A)
assert df.state() == States.A
assert df.speaker() == Speaker.SYSTEM
def test_add_transitions():
df = DialogueFlow('States.A')
df.add_system_transition('States.A', 'States.B', 'hello')
df.add_user_transition('States.B', 'States.C', '[{hi, hello, hey, [how, you]}]')
df.add_user_transition('States.B', 'States.D', '[{dog, cat, parrot}]')
df.add_system_transition('States.D', 'States.A', 'so')
assert df.graph().arcs() == {
('States.A', 'States.B', DialogueFlow.Speaker.SYSTEM),
('States.B', 'States.C', DialogueFlow.Speaker.USER),
('States.B', 'States.D', DialogueFlow.Speaker.USER),
('States.D', 'States.A', DialogueFlow.Speaker.SYSTEM)
}
assert isinstance(df.transition_natex('States.A', 'States.B', Speaker.SYSTEM), NatexNLG)
assert isinstance(df.transition_natex('States.B', 'States.C', Speaker.USER), NatexNLU)
def test_single_system_transition():
df = DialogueFlow(States.A)
df.add_system_transition(States.A, States.B, 'hello')
assert df.system_transition(df.state()) == ('hello', States.B)
def test_single_user_transition():
df = DialogueFlow(States.B)
df.add_user_transition(States.B, States.C, '[{hi, hello, hey, [how, you]}]')
assert df.user_transition('oh hey there', df.state()) == States.C
def test_system_transition():
for _ in range(6):
df = DialogueFlow(States.A)
df.add_system_transition(States.A, States.B, 'hello', score=2.0)
df.add_system_transition(States.A, States.C, 'hey')
assert df.system_transition(df.state()) == ('hello', States.B)
df = DialogueFlow(States.A)
df.add_system_transition(States.A, States.B, 'hello')
df.add_system_transition(States.A, States.C, 'hey', score=2.0)
assert df.system_transition(df.state()) == ('hey', States.C)
def test_user_transition():
df = DialogueFlow(States.B)
df.add_user_transition(States.B, States.C, '[{hi, hello, hey, [how, you]}]')
df.add_user_transition(States.B, States.D, '[{bye, goodbye, see you, see ya, later}]')
assert df.user_transition('oh hey there', df.state()) == States.C
assert df.user_transition('well see ya later', df.state()) == States.D
def test_user_transition_list_disjunction():
df = DialogueFlow('root', initial_speaker=Speaker.USER)
nlu = [
'hello',
'hi',
'how are you'
]
df.add_user_transition('root', 'x', nlu)
df.update_state_settings('root', error_successor='y')
df.user_turn('hi')
assert df.state() == 'x'
def test_global_transition_list_disjunction():
df = DialogueFlow('root', initial_speaker=Speaker.USER)
nlu = [
'hi',
'hello'
]
df.add_state('root', 'x')
df.add_system_transition('x', 'y', 'hello')
df.add_global_nlu('x', nlu)
df.user_turn('ok')
df.system_turn()
df.user_turn('hi')
assert df.state() == 'x'
def test_check():
df = DialogueFlow(States.A)
df.add_state(States.B, error_successor=States.C)
df.add_state(States.D, error_successor=States.A)
df.add_system_transition(States.A, States.B, 'hello')
df.add_user_transition(States.B, States.C, '[{hi, hello, hey, [how, you]}]')
df.add_user_transition(States.B, States.A, '[{bye, goodbye, see you, see ya, later}]')
df.add_system_transition(States.C, States.D, 'ok')
assert df.check()
df = DialogueFlow(States.A)
df.add_state(States.B, error_successor=States.C)
df.add_system_transition(States.A, States.B, 'hello')
df.add_user_transition(States.B, States.C, '[{hi, hello, hey, [how, you]}]')
df.add_user_transition(States.B, States.A, '[{bye, goodbye, see you, see ya, later}]')
df.add_system_transition(States.C, States.D, 'ok')
assert not df.check()
df = DialogueFlow(States.A)
df.add_state(States.B, error_successor=States.C)
df.add_state(States.D, error_successor=States.A)
df.add_system_transition(States.A, States.B, 'hello')
df.add_user_transition(States.B, States.C, '[{hi, hello, hey, [how, you]}]')
df.add_user_transition(States.B, States.A, '[{bye, goodbye, see you, see ya, later}]')
df.add_system_transition(States.C, States.D, 'ok then $X alright')
assert not df.check()
def test_user_multi_hop():
df = DialogueFlow(States.A, initial_speaker=Speaker.USER)
df.add_state(States.B, error_successor=States.B, user_multi_hop=True)
df.add_state(States.C, error_successor=States.A, user_multi_hop=True)
df.add_state(States.D, error_successor=States.A)
df.add_state(States.E, error_successor=States.A)
df.add_user_transition(States.A, States.B, '[{hey, hello}]')
df.add_user_transition(States.A, States.C, '[{excuse, pardon}]')
df.add_user_transition(States.B, States.D, '[how, you]')
df.add_user_transition(States.C, States.E, '[{where, how, what}]')
df.set_state(States.A)
df.user_turn('hey', debugging=False)
assert df.state() == States.B
df.set_state(States.A)
df.set_speaker(Speaker.USER)
df.user_turn('hey how are you')
assert df.state() == States.D
df.set_state(States.A)
df.set_speaker(Speaker.USER)
df.user_turn('excuse me where do i go')
assert df.state() == States.E
df.set_state(States.A)
df.set_speaker(Speaker.USER)
df.user_turn('excuse me')
assert df.state() == States.A
def test_system_multi_hop():
df = DialogueFlow(States.A, initial_speaker=Speaker.SYSTEM)
df.add_state(States.B, error_successor=States.B, system_multi_hop=True)
df.add_state(States.C, error_successor=States.A, system_multi_hop=True)
df.add_state(States.D, error_successor=States.A)
df.add_state(States.E, error_successor=States.A)
df.add_system_transition(States.A, States.B, '{hey, hello}')
df.add_system_transition(States.A, States.C, 'excuse me')
df.add_system_transition(States.B, States.D, 'how are you')
df.add_system_transition(States.C, States.E, 'what')
for _ in range(100):
df.set_state(States.A)
df.set_speaker(Speaker.SYSTEM)
response = df.system_turn()
assert response in {'hey how are you', 'hello how are you',
'excuse me what'}
def test_reset():
df = DialogueFlow(States.A, initial_speaker=Speaker.SYSTEM)
df.add_state(States.B, error_successor=States.E)
df.add_state(States.C, error_successor=States.E)
df.add_system_transition(States.A, States.B, 'B')
df.add_system_transition(States.A, States.C, 'C')
df.add_system_transition(States.E, States.E, 'E')
response = df.system_turn()
df.user_turn("")
assert df.state() == States.E
df.reset()
assert df.state() == 'States.A'
assert df.speaker() == Speaker.SYSTEM
response = df.system_turn()
df.user_turn("")
assert df.state() == States.E
df.system_turn()
assert df.state() == States.E
df.reset()
assert df.state() == States.A
assert df.speaker() == Speaker.SYSTEM
response = df.system_turn()
df.user_turn("")
assert df.state() == States.E
df.system_turn()
assert df.state() == States.E
def test_information_state_based_dialogue():
df = DialogueFlow('root', initial_speaker=Speaker.USER)
df.add_user_transition('root', 'one', '$x=[{cat, dog}]')
df.set_error_successor('root', 'one')
df.add_system_transition('one', 'root', 'i am a stupid state machine')
df.add_update_rule('[$x={ice cream, candy}]')
df.add_update_rule('#ANY($x=candy)', '$y=blah')
df.add_update_rule('#ANY($x=ice cream)', '$y=None')
df.add_update_rule('#ANY($y=blah)', 'i am a smart info state manager (2.0)')
df.user_turn('candy', debugging=True)
assert df.system_turn().strip() == 'i am a smart info state manager'
df.user_turn('ice cream', debugging=True)
assert df.system_turn(debugging=True).strip() == 'i am a stupid state machine'
df.user_turn('ice cream', debugging=True)
assert df.system_turn(debugging=True).strip() == 'i am a stupid state machine'
df.user_turn('ice cream', debugging=True)
assert df.system_turn(debugging=True).strip() == 'i am a stupid state machine'
df.user_turn('ice cream', debugging=True)
assert df.system_turn(debugging=True).strip() == 'i am a stupid state machine'
def test_transitions_to_transitions():
df = DialogueFlow('root', initial_speaker=Speaker.SYSTEM)
transitions = {
'state': 'root',
'"Hello World!"': {
'state': 'state_2',
'error': {
'"Hi,"': 'root->state_2'
}
}
}
df.load_transitions(transitions, speaker=Speaker.SYSTEM)
assert df.system_turn() == 'Hello World!'
df.user_turn('blah')
assert df.system_turn() == 'Hi, Hello World!'
# def test_dialogue_flow_modular_transition():
# # test to ensure dialogue flow module with transition to other
# # component does not crash when tested independently
# df = DialogueFlow('root', initial_speaker=Speaker.SYSTEM)
# transitions = {
# 'state': 'root',
#
# '"Hello World!"': {
# 'state': 'state_2',
#
# 'error': {
# '"How are you?"': {
# 'state': 'mystate',
# 'error': 'root'
# },
# '"External thing"':{
# 'state': 'external_component:external_state',
# 'score': 2.0
# }
# }
# }
# }
# df.load_transitions(transitions, speaker=Speaker.SYSTEM)
# assert df.system_turn() == 'Hello World!'
# df.user_turn('blah')
# assert df.system_turn() == 'How are you?'
# assert df.state() == 'mystate'
def test_information_state_state_set():
df = DialogueFlow('root', initial_speaker=Speaker.USER)
transitions = {
'state': 'root',
'error': {
'state': 'one',
'okay': {
'state': 'two',
'error': {
'state': 'three',
'sure': 'root'
}
}
},
'something': {
'state': 'special',
'that is great': 'root'
}
}
df.add_update_rule('[{read, watched}]', '#TRANSITION(special, 2.0)')
df.load_transitions(transitions, speaker=Speaker.USER)
df.user_turn('hi')
assert df.system_turn() == 'okay'
df.user_turn('i read a book')
assert df.state() == 'special'
assert df.system_turn() == 'that is great'
assert df.state() == 'root'
def test_unexpected_input_macro():
df = DialogueFlow('root', initial_speaker=Speaker.USER)
df.add_user_transition('root', 'x', '#UNX')
df.add_system_transition('x', 'y', '"So, whats for dinner?"')
df.user_turn('blah blah blah blah blah blah')
tokens = df.system_turn().split()
assert len(tokens) > 4 and 'So, whats for dinner?' == ' '.join(tokens[-4:])
def test_global_transition_priority():
df = DialogueFlow('root')
transitions = {
'state': 'root',
'hello':{
'[oh]':{
'score': 0.6,
'okay':{}
},
'[wow]':{
'score': 2.0,
'alright': {}
}
}
}
df.add_global_nlu('root', '/.*/', score=0.7)
df.load_transitions(transitions)
df.system_turn()
df.user_turn('oh wow')
assert df.system_turn() == 'alright'
def test_gate():
df = DialogueFlow('root')
transitions = {
'state': 'root',
'#GATE hello': {
'state': 'greet',
'score': 2.0,
'#GATE [{hi, hello}]': {
'how are ya': {'error': 'root'}
},
'error': {
'how are you': {'error': 'root'}
}
},
'hi': 'greet'
}
df.load_transitions(transitions)
assert df.system_turn().strip() == 'hello'
df.user_turn('hi')
assert df.system_turn().strip() == 'how are ya'
df.user_turn('fine')
assert df.system_turn().strip() == 'hi'
df.user_turn('oh')
assert df.system_turn().strip() == 'how are you'
def test_gate_none():
df = DialogueFlow('root')
transitions = {
'state': 'root',
'#GATE(var:None) hello': {
'state': 'greet',
'score': 2.0,
'hi': {
'#SET($var=True) how are ya': {'error': 'root'}
},
'error': {
'how are you': {'error': 'root'}
}
},
'hi': 'greet'
}
df.load_transitions(transitions)
assert df.system_turn().strip() == 'hello'
df.user_turn('hi')
assert df.system_turn().strip() == 'how are ya'
df.user_turn('fine')
assert df.system_turn().strip() == 'hi'
df.user_turn('oh')
assert df.system_turn().strip() == 'how are you'
def test_enter_natex():
df = DialogueFlow('root')
transitions = {
'state': 'root',
'hello': {
'state': 'one',
'score': 2.0,
'enter': '#GATE',
'error': 'root'
},
'hi': {
'state': 'two',
'score': 1.0,
'enter': '#GATE',
'error': 'root'
},
'bye': {
'state': 'one',
'score': 1.0,
},
'goodbye': {
'state': 'three',
'score': 0.0,
'error': 'end'
}
}
df.load_transitions(transitions)
assert df.system_turn() == 'hello'
df.user_turn('hello')
assert df.system_turn() == 'hi'
df.user_turn('hi')
assert df.system_turn() == 'goodbye'
def test_serialization():
df = DialogueFlow(States.A, initial_speaker=Speaker.SYSTEM)
df.add_state(States.B, error_successor=States.E)
df.add_state(States.C, error_successor=States.E)
df.add_system_transition(States.A, States.B, '#GATE $spoken=B')
df.add_system_transition(States.A, States.C, '#GATE(spoken) $spoken=C')
df.add_system_transition(States.E, States.E, '$spoken=E')
df.add_user_transition(States.B, States.A, '$heard=b')
df.add_user_transition(States.E, States.A, '$heard=e')
df.system_turn()
assert df.state() == States.B
assert df.vars()["spoken"] == "B"
df.user_turn('b')
df.system_turn()
assert df.state() == States.C
assert df.vars()["spoken"] == "C"
expected_gates = {'States.B': [{}], 'States.C': [{'spoken': 'B'}]}
assert df.gates() == expected_gates
df.vars()["testing_none"] = None
d = df.serialize()
df2 = DialogueFlow(States.A, initial_speaker=Speaker.SYSTEM)
df2.add_state(States.B, error_successor=States.E)
df2.add_state(States.C, error_successor=States.E)
df2.add_system_transition(States.A, States.B, '#GATE $spoken=B')
df2.add_system_transition(States.A, States.C, '#GATE(spoken) $spoken=C')
df2.add_system_transition(States.E, States.E, '$spoken=E')
df2.add_user_transition(States.B, States.A, '$heard=b')
df2.add_user_transition(States.E, States.A, '$heard=e')
assert df2.state() == States.A
assert 'spoken' not in df2.vars() and 'heard' not in df2.vars()
assert len(df2.gates()) == 0
df2.deserialize(d)
assert df.vars() == df2.vars()
assert df.gates() == df2.gates()
assert df.state() == df2.state()
assert df2.vars()["testing_none"] is None
| {"/emora_stdm/state_transition_dialogue_manager/process_wordnet_data.py": ["/emora_stdm/state_transition_dialogue_manager/wordnet.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/state_transition_dialogue_manager/macro.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/modules/ontology_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/wordnet.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_utilities.py": ["/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/modules/multiple_components_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_composite_dialogue_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/memory.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/database.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/settings.py", "/emora_stdm/state_transition_dialogue_manager/stochastic_options.py", "/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py", "/emora_stdm/state_transition_dialogue_manager/state.py", "/emora_stdm/state_transition_dialogue_manager/update_rules.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_json_style_dialogue_flow.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_test_natex.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_natex_nlg.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/modules/macro_definition_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/modules/hello_world_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/chat_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py"], "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py": ["/emora_stdm/state_transition_dialogue_manager/stochastic_options.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py"], "/emora_stdm/modules/update_rules_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_update_rules.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py": ["/emora_stdm/state_transition_dialogue_manager/database.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/__init__.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/update_rules.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_settings.py": ["/emora_stdm/state_transition_dialogue_manager/settings.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_stochastic_options.py": ["/emora_stdm/state_transition_dialogue_manager/stochastic_options.py"], "/emora_stdm/modules/natex_compilation.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_stack.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py"], "/emora_stdm/modules/sigdial_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_natex_nlu.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py"], "/emora_stdm/modules/interoperability_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/update_rules.py": ["/emora_stdm/state_transition_dialogue_manager/update_rule.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/modules/reasoning_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/macros_common.py": ["/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/memory.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/wordnet.py"], "/emora_stdm/state_transition_dialogue_manager/update_rule.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_state.py": ["/emora_stdm/state_transition_dialogue_manager/state.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_macros.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_knowledge_base.py": ["/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_composite_dialogue_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_ngrams.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/state_transition_dialogue_manager/natex_common.py": ["/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py"]} |
60,303 | dwtcourses/emora_stdm | refs/heads/master | /emora_stdm/test_state_transition_dialogue_manager/interactive_composite_dialogue_flow.py |
import pytest
from emora_stdm import DialogueFlow
from emora_stdm.state_transition_dialogue_manager.composite_dialogue_flow import CompositeDialogueFlow
if __name__ == '__main__':
df1 = DialogueFlow('A', initial_speaker=DialogueFlow.Speaker.USER)
df1.add_state('A', 6)
df1.add_state(6)
df1.add_state('C', 'D')
df1.add_state('D')
df1.add_user_transition('A', 'D', '$fruit=apple dog')
df1.add_system_transition(6, 'C', 'banana catfish')
df1.add_system_transition('D', 'A', 'dog apple')
#df1.add_system_transition(6, ('movie', 'Y'), 'movie')
#df1.run(debugging=True)
df2 = DialogueFlow('A', initial_speaker=DialogueFlow.Speaker.USER)
df2.add_state('A', 6)
df2.add_state(6)
df2.add_state('C', 'D')
df2.add_state('D')
df2.add_user_transition('A', 'D', '$state=alaska down')
df2.add_system_transition(6, 'C', 'bark call')
df2.add_system_transition('D', 'A', 'down alaska')
#df2.run(debugging=True)
df2.add_state(('SYSTEM', 'topic_err'), global_nlu='back')
df2.add_state(('one', 6), global_nlu='dog')
cdf = CompositeDialogueFlow('start', initial_speaker=DialogueFlow.Speaker.USER,
system_error_state='topic_err', user_error_state='topic_err')
cdf.add_component(df1, 'one')
cdf.add_component(df2, 'two')
cdf.add_state('start', 'greet')
cdf.add_state('greet')
cdf.add_state('topic', 'topic_err')
cdf.add_state('topic_err')
cdf.add_system_transition('topic_err', 'topic', 'what do you want to discuss')
cdf.add_system_transition('greet', 'topic', 'hello')
cdf.add_user_transition('topic', ('one', 6), '$animal={catfish, dog}')
cdf.add_user_transition('topic', ('two', 6), '$item={alaska, bark, down}')
cdf.add_user_transition(('one', 'A'), ('SYSTEM', 'topic_err'), 'back')
cdf.precache_transitions(1)
cdf.run(debugging=False) | {"/emora_stdm/state_transition_dialogue_manager/process_wordnet_data.py": ["/emora_stdm/state_transition_dialogue_manager/wordnet.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/state_transition_dialogue_manager/macro.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/modules/ontology_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/wordnet.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_utilities.py": ["/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/modules/multiple_components_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_composite_dialogue_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/memory.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/database.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/settings.py", "/emora_stdm/state_transition_dialogue_manager/stochastic_options.py", "/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py", "/emora_stdm/state_transition_dialogue_manager/state.py", "/emora_stdm/state_transition_dialogue_manager/update_rules.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_json_style_dialogue_flow.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_test_natex.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_natex_nlg.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/modules/macro_definition_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/modules/hello_world_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/chat_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py"], "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py": ["/emora_stdm/state_transition_dialogue_manager/stochastic_options.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py"], "/emora_stdm/modules/update_rules_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_update_rules.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py": ["/emora_stdm/state_transition_dialogue_manager/database.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/__init__.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/update_rules.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_settings.py": ["/emora_stdm/state_transition_dialogue_manager/settings.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_stochastic_options.py": ["/emora_stdm/state_transition_dialogue_manager/stochastic_options.py"], "/emora_stdm/modules/natex_compilation.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_stack.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py"], "/emora_stdm/modules/sigdial_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_natex_nlu.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py"], "/emora_stdm/modules/interoperability_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/update_rules.py": ["/emora_stdm/state_transition_dialogue_manager/update_rule.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/modules/reasoning_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/macros_common.py": ["/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/memory.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/wordnet.py"], "/emora_stdm/state_transition_dialogue_manager/update_rule.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_state.py": ["/emora_stdm/state_transition_dialogue_manager/state.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_macros.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_knowledge_base.py": ["/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_composite_dialogue_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_ngrams.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/state_transition_dialogue_manager/natex_common.py": ["/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py"]} |
60,304 | dwtcourses/emora_stdm | refs/heads/master | /emora_stdm/test_state_transition_dialogue_manager/test_ngrams.py |
import pytest
from emora_stdm.state_transition_dialogue_manager.ngrams import Ngrams
def test_default_constructor():
ng = Ngrams("this is a test sentence")
grams1 = {'this', 'is', 'a', 'test', 'sentence'}
grams2 = {'this is', 'is a', 'a test', 'test sentence'}
grams3 = {'this is a', 'is a test', 'a test sentence'}
grams4 = {'this is a test', 'is a test sentence'}
grams5 = {'this is a test sentence'}
assert ng == set.union(grams1, grams2, grams3, grams4, grams5)
assert ng[1] == grams1
assert ng[2] == grams2
assert ng[3] == grams3
assert ng[4] == grams4
assert ng[5] == grams5
assert ng.text() == 'this is a test sentence'
def test_parameterized_constructor():
ng = Ngrams('this is a test', 3)
grams1 = {'this', 'is', 'a', 'test'}
grams2 = {'this is', 'is a', 'a test'}
grams3 = {'this is a', 'is a test'}
assert ng == set.union(grams1, grams2, grams3)
assert ng[1] == grams1
assert ng[2] == grams2
assert ng[3] == grams3
assert ng.text() == 'this is a test'
| {"/emora_stdm/state_transition_dialogue_manager/process_wordnet_data.py": ["/emora_stdm/state_transition_dialogue_manager/wordnet.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/state_transition_dialogue_manager/macro.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/modules/ontology_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/wordnet.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_utilities.py": ["/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/modules/multiple_components_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_composite_dialogue_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/memory.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/database.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/settings.py", "/emora_stdm/state_transition_dialogue_manager/stochastic_options.py", "/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py", "/emora_stdm/state_transition_dialogue_manager/state.py", "/emora_stdm/state_transition_dialogue_manager/update_rules.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_json_style_dialogue_flow.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_test_natex.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_natex_nlg.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/modules/macro_definition_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/modules/hello_world_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/chat_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py"], "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py": ["/emora_stdm/state_transition_dialogue_manager/stochastic_options.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py"], "/emora_stdm/modules/update_rules_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_update_rules.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py": ["/emora_stdm/state_transition_dialogue_manager/database.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/__init__.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/update_rules.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_settings.py": ["/emora_stdm/state_transition_dialogue_manager/settings.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_stochastic_options.py": ["/emora_stdm/state_transition_dialogue_manager/stochastic_options.py"], "/emora_stdm/modules/natex_compilation.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_stack.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py"], "/emora_stdm/modules/sigdial_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_natex_nlu.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py"], "/emora_stdm/modules/interoperability_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/update_rules.py": ["/emora_stdm/state_transition_dialogue_manager/update_rule.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/modules/reasoning_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/macros_common.py": ["/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/memory.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/wordnet.py"], "/emora_stdm/state_transition_dialogue_manager/update_rule.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_state.py": ["/emora_stdm/state_transition_dialogue_manager/state.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_macros.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_knowledge_base.py": ["/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_composite_dialogue_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_ngrams.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/state_transition_dialogue_manager/natex_common.py": ["/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py"]} |
60,305 | dwtcourses/emora_stdm | refs/heads/master | /emora_stdm/state_transition_dialogue_manager/natex_common.py |
from emora_stdm.state_transition_dialogue_manager.macro import Macro
from typing import Union, Set, List, Dict, Callable, Tuple, NoReturn, Any
from emora_stdm.state_transition_dialogue_manager.ngrams import Ngrams
from emora_stdm.state_transition_dialogue_manager.natex_nlu import NatexNLU
from emora_stdm.state_transition_dialogue_manager import macros_common as mc
import random
def CommonNatexMacro(natex_string):
class _CommonNatex(Macro):
def __init__(self, macro_dependencies=None):
if macro_dependencies is None: macro_dependencies = {}
self.natex = NatexNLU(natex_string, macros={**mc.macros_common_dict, **macro_dependencies})
self.natex.compile()
self.natex._regex = self.natex.regex().replace("_END_", "").strip()
def run(self, ngrams: Ngrams, vars: Dict[str, Any], args: List[Any]):
return self.natex.regex()
return _CommonNatex
def NatexMacro(natex_string):
class _CommonNatex(Macro):
def __init__(self, macro_dependencies=None):
if macro_dependencies is None: macro_dependencies = {}
self.natex = NatexNLU(natex_string, macros={**mc.macros_common_dict, **macro_dependencies})
self.natex.precache()
def run(self, ngrams: Ngrams, vars: Dict[str, Any], args: List[Any]):
match = self.natex.match(ngrams.text(), vars=vars)
return bool(match)
return _CommonNatex
agree = '[! -not {' \
'sure, i know,' \
'[{yes, yeah, yea, yep, yup, think so, i know, absolutely, exactly, precisely, ' \
'certainly, surely, definitely, probably, true, of course, right}]' \
'}]'
Agree = CommonNatexMacro(agree)
disagree = '{' + ', '.join([
'[{no, nay, nah, na, not really, nope, no way, wrong}]',
'[{absolutely, surely, definitely, certainly, i think} not]',
'[i, do not, think so]',
'[not true]'
]) + '}'
Disagree = CommonNatexMacro(disagree)
question = '{[!/([^ ]+)?/ {who, what, when, where, why, how} /.*/], ' \
'[!{is, does, can, could, should, ' \
'"isnt", "shouldnt", "couldnt", "cant", "aint", "dont", do,' \
'did, was, were, will, "wasnt", "werent", "didnt", has, had, have} /.*/]}'
Question = CommonNatexMacro(question)
negation = '{not, "dont", "cant", "wont", "shouldnt", "cannot", "didnt", "doesnt",' \
' "isnt", "couldnt", "havent", "arent", "never", "impossible", "unlikely", ' \
'"no way", "none", "nothing"}'
Negation = CommonNatexMacro(negation)
confirm = '{%s, [!-{%s, %s} [{okay, ok, alright, all right, right, i understand, ' \
'i see, got it, makes sense, understood, sounds good, perfect}]]}' % (agree, disagree, negation)
Confirm = CommonNatexMacro(confirm)
dont_know = '[{' \
'dont know,do not know,unsure,[not,{sure,certain}],hard to say,no idea,uncertain, ' \
'[!no {opinion,opinions,idea,ideas,thought,thoughts,knowledge}],' \
'[{dont,do not}, have, {opinion,opinions,idea,ideas,thought,thoughts,knowledge}],' \
'[!{cant,cannot,dont} {think,remember,recall}]' \
'}]'
DontKnow = CommonNatexMacro(dont_know)
maybe = '[{maybe,possibly,sort of,kind of,kinda,a little,at times,sometimes,could be,potentially,its possible}]'
Maybe = CommonNatexMacro(dont_know)
unintrerested = '[!-oh #TOKLIMIT(3) [{okay, sure, alright, all right, fine, um}]]'
Uninterested = NatexMacro(unintrerested)
notinterested = '{[i, not, care], um? {so, so what, big deal, what, no}, [!#TOKLIMIT(3) [{weird, strange, dumb, stupid, boring, dull}]]}'
NotInterested = NatexMacro(notinterested)
interested = '{[!-not [{great, good, cool, awesome, nice, sweet, wonderful, amazing, fun, ' \
'wow, my god, woah, interesting, oh}]], really}'
Interested = CommonNatexMacro(interested)
decline_share = "{" \
"[not, #LEM(talk,discuss,share,give,tell,say)]," \
"[none,your,business]," \
"[that is private]" \
"}"
DeclineShare = CommonNatexMacro(decline_share)
class Unexpected(Macro):
def __init__(self):
self.question_natex = NatexNLU(question)
def run(self, ngrams: Ngrams, vars: Dict[str, Any], args: List[Any]):
statement_only = 's' in args or 'state' in args or 'statement' in args
vars['__score__'] = 0.0
if '__previous_unx_response__' not in vars:
vars['__previous_unx_response__'] = 'Gotcha.'
if '__previous_unx_answer__' not in vars:
vars['__previous_unx_answer__'] = 'None'
is_question = self.question_natex.match(ngrams.text())
if is_question and statement_only:
return False
elif is_question:
if '_explained_stupidity_' in vars and vars['_explained_stupidity_'] == 'True':
options = {'I\'m not sure.', 'I don\'t know.', 'I\'m not sure about that.', ''} - {
vars['__previous_unx_response__']}
question_response = random.choice(list(options))
vars['__previous_unx_answer__'] = question_response
vars['__response_prefix__'] = question_response
else:
vars['_explained_stupidity_'] = 'True'
vars['__response_prefix__'] = 'I\'m not sure.'
elif len(ngrams.text().split()) < 3 and len(args) == 0:
vars['__response_prefix__'] = ''
return True
else:
options = {'Yeah.', 'For sure.', 'Right.', 'Uh-huh.'} - {vars['__previous_unx_response__']}
statement_response = random.choice(list(options))
if len(args) > 0:
statement_response = ', '.join([arg for arg in args if arg not in {'s', 'state', 'statement'}]) + ', '
if args[0] == 'None':
statement_response = ''
vars['__previous_unx_response__'] = statement_response
vars['__response_prefix__'] = statement_response
return True
natex_macros_common = {
'AGREE': Agree(),
'DISAGREE': Disagree(),
'QUESTION': Question(),
'NEGATION': Negation(),
'IDK': DontKnow(),
'MAYBE': Maybe(),
'CONFIRM': Confirm(),
'UNINTERESTED': Uninterested(),
'NOTINTERESTED': NotInterested(),
'INTERESTED': Interested(),
'UNX': Unexpected(),
'PRIVATE': DeclineShare(),
}
if __name__ == '__main__':
from emora_stdm.state_transition_dialogue_manager.natex_nlu import NatexNLU
print(NatexNLU(question).match("i don't know")) | {"/emora_stdm/state_transition_dialogue_manager/process_wordnet_data.py": ["/emora_stdm/state_transition_dialogue_manager/wordnet.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/state_transition_dialogue_manager/macro.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/modules/ontology_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/wordnet.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_utilities.py": ["/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/modules/multiple_components_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_composite_dialogue_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/memory.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/database.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/settings.py", "/emora_stdm/state_transition_dialogue_manager/stochastic_options.py", "/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py", "/emora_stdm/state_transition_dialogue_manager/state.py", "/emora_stdm/state_transition_dialogue_manager/update_rules.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_json_style_dialogue_flow.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_wordnet.py": ["/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_test_natex.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_natex_nlg.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/modules/macro_definition_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/modules/hello_world_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/chat_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py"], "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py": ["/emora_stdm/state_transition_dialogue_manager/stochastic_options.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py"], "/emora_stdm/modules/update_rules_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_update_rules.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py": ["/emora_stdm/state_transition_dialogue_manager/database.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/__init__.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/update_rules.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_settings.py": ["/emora_stdm/state_transition_dialogue_manager/settings.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_stochastic_options.py": ["/emora_stdm/state_transition_dialogue_manager/stochastic_options.py"], "/emora_stdm/modules/natex_compilation.py": ["/emora_stdm/__init__.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_stack.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py"], "/emora_stdm/modules/sigdial_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_natex_nlu.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py"], "/emora_stdm/modules/interoperability_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/update_rules.py": ["/emora_stdm/state_transition_dialogue_manager/update_rule.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py"], "/emora_stdm/modules/reasoning_example.py": ["/emora_stdm/__init__.py"], "/emora_stdm/state_transition_dialogue_manager/macros_common.py": ["/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/memory.py", "/emora_stdm/state_transition_dialogue_manager/utilities.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/wordnet.py"], "/emora_stdm/state_transition_dialogue_manager/update_rule.py": ["/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_state.py": ["/emora_stdm/state_transition_dialogue_manager/state.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_macros.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/macros_common.py", "/emora_stdm/state_transition_dialogue_manager/natex_common.py", "/emora_stdm/state_transition_dialogue_manager/knowledge_base.py", "/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_knowledge_base.py": ["/emora_stdm/state_transition_dialogue_manager/knowledge_base.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_dialogue_flow.py": ["/emora_stdm/state_transition_dialogue_manager/dialogue_flow.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlg.py"], "/emora_stdm/test_state_transition_dialogue_manager/interactive_composite_dialogue_flow.py": ["/emora_stdm/__init__.py", "/emora_stdm/state_transition_dialogue_manager/composite_dialogue_flow.py"], "/emora_stdm/test_state_transition_dialogue_manager/test_ngrams.py": ["/emora_stdm/state_transition_dialogue_manager/ngrams.py"], "/emora_stdm/state_transition_dialogue_manager/natex_common.py": ["/emora_stdm/state_transition_dialogue_manager/macro.py", "/emora_stdm/state_transition_dialogue_manager/ngrams.py", "/emora_stdm/state_transition_dialogue_manager/natex_nlu.py"]} |
60,355 | ksdtech/easybridge | refs/heads/master | /flaskapp.py | # Python 3.5
import logging
from logging.handlers import RotatingFileHandler
import re
import shutil
from flask import Flask, request, session, render_template, make_response, redirect, url_for
from pyexcel import get_array
from pyexcel_io import save_data
import werkzeug.exceptions
from werkzeug.utils import secure_filename
# Initialize an app instance
app = Flask(__name__)
# Get app settings
import app_config
app.config.from_object(app_config.Config)
@app.route('/edit', methods=['GET','POST'])
def edit():
# shutil.copyfile(app.config['EXTRA_STUDENTS_SOURCE_PATH'], app.config['EXTRA_STUDENTS_WORKING_PATH'])
records = get_array(file_name=app.config['EXTRA_STUDENTS_WORKING_PATH'])
if request.method == 'POST':
changed = False
removes = []
for key in request.form.keys():
m = re.match('remove_(\d+)', key)
if m:
removes.append(int(m.group(1)))
changed = True
records = [r for r in records if not (r[0] in removes)]
if request.form['student_number'] and request.form['first_name'] and \
request.form['last_name'] and request.form['email']:
records.append([
request.form['student_number'],
request.form['first_name'],
request.form['last_name'],
'104',
request.form['gender'],
request.form['email'],
'9919.1'
])
changed = True
if changed:
save_data(app.config['EXTRA_STUDENTS_WORKING_PATH'], records, lineterminator='\n')
return render_template('students.html', page_title='Edit Students', records=records)
## MAIN
if __name__ == '__main__':
handler = RotatingFileHandler('rcweb.log', maxBytes=10000, backupCount=1)
if app.config['DEBUG']:
handler.setLevel(logging.INFO)
else:
handler.setLevel(logging.ERROR)
app.logger.addHandler(handler)
app.run()
| {"/flaskapp.py": ["/app_config.py"]} |
60,356 | ksdtech/easybridge | refs/heads/master | /app_config.py | # app_config.py
import re
class Config(object):
DEBUG = True
EXTRA_STUDENTS_SOURCE_PATH = '/Users/pzingg/Projects/_python/easybridge/source/extra-students.txt'
EXTRA_STUDENTS_WORKING_PATH = '/Users/pzingg/Projects/_python/easybridge/source/extra-students.tsv'
| {"/flaskapp.py": ["/app_config.py"]} |
60,357 | ksdtech/easybridge | refs/heads/master | /easybridge.py | import argparse
import csv
import datetime
import dateutil.parser
import os
import re
import sys
import zipfile
import pysftp
DAYS_PAST = 7
DAYS_UPCOMING = 7
AUTOSEND = True
LINETERM_IN = "\n"
MATH_COURSE_HEADERS = [s.strip() for s in '''
SchoolID
Course_Number
Target_Course_Number
Course_Name
School_Name
'''.split('\n')[1:-1]]
STUDENT_HEADERS = [s.strip() for s in '''
Student_Number
SchoolID
EntryDate
ExitDate
First_Name
Middle_Name
Last_Name
Gender
Grade_Level
Network_ID
Mother_First
Mother
Mother_Email
Father_First
Father
Father_Email
'''.split('\n')[1:-1]]
TEST_STUDENT_HEADERS = [s.strip() for s in '''
Student_Number
First_Name
Last_Name
SchoolID
Gender
Network_ID
Sections
'''.split('\n')[1:-1]]
TEACHER_HEADERS = [s.strip() for s in '''
TeacherNumber
First_Name
Last_Name
SchoolID
Email_Addr
Status
StaffStatus
CA_SEID
'''.split('\n')[1:-1]]
COURSE_HEADERS = [s.strip() for s in '''
SchoolID
Course_Name
Course_Number
Alt_Course_Number
Code
'''.split('\n')[1:-1]]
SECTION_HEADERS = [s.strip() for s in '''
SchoolID
Course_Number
Section_Number
TermID
[13]Abbreviation
[13]FirstDay
[13]LastDay
Expression
[05]TeacherNumber
'''.split('\n')[1:-1]]
CC_HEADERS = [s.strip() for s in '''
Course_Number
Section_Number
SchoolID
TermID
DateEnrolled
DateLeft
Expression
[01]Student_Number
[01]First_Name
[01]Last_Name
[05]TeacherNumber
[05]Last_Name
'''.split('\n')[1:-1]]
# Required character encoding is UTF-8.
# Data fields must be comma delimited.
# Data must be enclosed in double quotes. Fields without data should be represented as
# an empty string.
# Dates should be represented as a string in the following format: yyyy-mm-dd.
# For date fields requiring only a year, the format is yyyy.
# Boolean values should be represented as "true" or "false".
# Google SAML metadata file will have to be downloaded and sent to Pearson
# Turn on SAML after rollover, but before 8/22
# Return District matching spreadsheets
# Assignments file for SpEd teachers to have access
# Match teachers, if they have any custom content
# Pearson will supply a list of logins, find out which login has the custom content
# Teachers will use new URL
# Will create link on Google page, but that one won't work
# Pearson will supply the correct link (contains link to metadata file)
# Suspend users from previous years
# Zip up files and place on SFTP
# zip-ship tool might be useful - will be on the SFTP site
# Convert dates to YYYY-MM-DD
# Calendar year is for start of year
def formatDate(s):
m, d, y = s.split('/')
return '-'.join((y, m, d))
def parseDate(s):
dt = dateutil.parser.parse(s)
return dt.date()
class EasyBridgeUploader(object):
def __init__(self, source_dir=None, output_dir=None, autosend=False, effective_date=None):
# Must change at start of year
self.current_year = 2017
self.year_start = '2017-09-05'
self.year_end = '2018-06-16'
self.students = { }
self.extras = { }
self.teachers = { }
self.courses = { }
self.sections = { }
self.enrollments = { }
self.course_map = { }
self.section_map = { }
self.schools = [ ]
self.source_dir = source_dir or './source'
self.output_dir = output_dir or './output'
try:
os.makedirs(self.output_dir)
except:
pass
self.autosend = autosend
if effective_date is None:
effective_date = datetime.date.today()
self.effective_date = effective_date
def loadData(self):
self.loadMathCourses()
self.loadExtraStudents()
self.loadStudents()
for school_name in self.schools:
self.loadTeachers(school_name, False)
self.loadTeachers(school_name, True)
self.loadCourses(school_name)
self.loadSections(school_name)
self.loadEnrollments(school_name)
def excludeFromEnrollment(self, school_course_id):
for ex in DO_NOT_ENROLL:
if ex == school_course_id:
return True
if ex[-2:1] == '.*':
school_id, course_id = school_course_id.split('.')
test_school = ex[0:-2]
if school_id == test_school:
return True
return False
def getTeacherName(self, teacher_id):
teacher_data = self.teachers.get(teacher_id)
if teacher_data:
return teacher_data['Last_Name']
return '?'
def loadMathCourses(self):
with open(os.path.join(self.source_dir, 'math-courses.txt')) as f:
fieldnames = None if not self.autosend else MATH_COURSE_HEADERS
courses = csv.DictReader(f, fieldnames=fieldnames,
dialect='excel-tab', lineterminator=LINETERM_IN)
for row in courses:
school_id = row['SchoolID']
# Oddity: course_number and target_course_number
# might contain a .section_number. In this case,
# map the source section to the target section_number.
# Used when the scheduler makes up crazy Core 5 sections
# because of Learning Center pullout schedules.
course_number = row['Course_Number']
target_course_number = row['Target_Course_Number']
if '.' in course_number:
if '.' in target_course_number:
# Mapping sections
# 'course_number' and 'target_course_number' are actually 'course.section'
if course_number not in self.section_map:
self.section_map[course_number] = { }
self.section_map[course_number] = target_course_number
else:
# Error!
pass
else:
# Mapping courses
course_id = '.'.join((school_id, course_number))
self.courses[course_id] = { 'Target_Course_Name': row['Course_Name'] }
if course_number != target_course_number:
self.course_map[course_id] = target_course_number
school_name = row['School_Name']
if school_name not in self.schools:
self.schools.append(school_name)
# This is for teachers posing as students
def loadExtraStudents(self):
with open(os.path.join(self.source_dir, 'extra-students.txt')) as f:
fieldnames = None if not self.autosend else TEST_STUDENT_HEADERS
students = csv.DictReader(f, fieldnames=fieldnames,
dialect='excel-tab', lineterminator=LINETERM_IN)
for row in students:
student_id = 'S' + row['Student_Number']
school_id = row['SchoolID']
row.update({'Enrolled': '1'})
self.students[student_id] = row
# Add extra enrollments
sections = row['Sections'].split(',')
for section in sections:
school_section_id = '.'.join((school_id, section))
if school_section_id not in self.extras:
self.extras[school_section_id] = [ ]
self.extras[school_section_id].append(student_id)
def loadStudents(self):
with open(os.path.join(self.source_dir, 'students.txt')) as f:
fieldnames = None if not self.autosend else STUDENT_HEADERS
students = csv.DictReader(f, fieldnames=fieldnames,
dialect='excel-tab', lineterminator=LINETERM_IN)
for row in students:
student_id = 'S' + row['Student_Number']
row.update({'Enrolled': '0'})
self.students[student_id] = row
# Create an assignments-kent.txt file that has the assigned teachers (and aides)
# Same format as teachers-kent.txt
def loadTeachers(self, school_name, assignments):
file_name = 'teachers-%s.txt' % school_name
if assignments:
file_name = 'assignments-%s.txt' % school_name
with open(os.path.join(self.source_dir, file_name)) as f:
fieldnames = None if not self.autosend else TEACHER_HEADERS
teachers = csv.DictReader(f, fieldnames=fieldnames,
dialect='excel-tab', lineterminator=LINETERM_IN)
for row in teachers:
teacher_number = row['TeacherNumber']
teacher_id = 'T' + teacher_number
if assignments:
row.update({'Assigned': '2'})
else:
row.update({'Assigned': '0'})
self.teachers[teacher_id] = row
def loadCourses(self, school_name):
with open(os.path.join(self.source_dir, 'courses-%s.txt' % school_name)) as f:
fieldnames = None if not self.autosend else COURSE_HEADERS
courses = csv.DictReader(f, fieldnames=fieldnames,
dialect='excel-tab', lineterminator=LINETERM_IN)
for row in courses:
school_id = row['SchoolID']
course_number = row['Course_Number']
course_id = '.'.join((school_id, course_number))
# Replace empty dict with PowerSchool info
if course_id in self.courses:
self.courses[course_id].update(row)
def loadSections(self, school_name):
with open(os.path.join(self.source_dir, 'sections-%s.txt' % school_name)) as f:
fieldnames = None if not self.autosend else SECTION_HEADERS
sections = csv.DictReader(f, fieldnames=fieldnames,
dialect='excel-tab', lineterminator=LINETERM_IN)
for row in sections:
school_id = row['SchoolID']
course_number = row['Course_Number']
section_number = row['Section_Number']
teacher_id = 'T' + row['[05]TeacherNumber']
course_id = '.'.join((school_id, course_number))
if course_id in self.courses:
if teacher_id in self.teachers:
if self.teachers[teacher_id]['Status'] == '1':
if self.teachers[teacher_id]['Assigned'] == '0':
self.teachers[teacher_id]['Assigned'] = '1'
school_section_id = '.'.join((school_id, course_number, section_number))
self.sections[school_section_id] = row
else:
print "section %s.%s (%s): teacher %s is not active" % (course_number, section_number, school_id, teacher_id)
else:
print "section %s.%s (%s): missing teacher %s" % (course_number, section_number, school_id, teacher_id)
def loadEnrollments(self, school_name):
with open(os.path.join(self.source_dir, 'rosters-%s.txt' % school_name)) as f:
fieldnames = None if not self.autosend else CC_HEADERS
cc = csv.DictReader(f, fieldnames=fieldnames,
dialect='excel-tab', lineterminator=LINETERM_IN)
for row in cc:
start_date = parseDate(row['DateEnrolled']) - datetime.timedelta(days=DAYS_UPCOMING)
end_date = parseDate(row['DateLeft']) + datetime.timedelta(days=DAYS_PAST)
if self.effective_date >= start_date and self.effective_date <= end_date:
school_id = row['SchoolID']
course_number = row['Course_Number']
section_number = row['Section_Number']
course_id = '.'.join((school_id, course_number))
if course_id in self.courses:
student_id = 'S' + row['[01]Student_Number']
teacher_id = 'T' + row['[05]TeacherNumber']
enrollment_id = '.'.join((school_id, course_number, section_number, student_id))
if enrollment_id not in self.enrollments:
self.enrollments[enrollment_id] = row
try:
self.students[student_id]['Enrolled'] = '1'
except KeyError:
print "------------------------------------------"
print "Enrollment error for student %s in course: %s-%s" % (student_id, course_number, section_number)
print "Effective Date - Start Date - End Date"
print "%s %s %s" % (self.effective_date, start_date, end_date)
print "Perhaps the student's actual start date is within 7 days of the effective date, pushing the above start date to earlier than the effective date?"
print "------------------------------------------"
raise
def dumpActiveEnrollments(self):
f = sys.stdout
w = csv.writer(f, dialect='excel-tab')
w.writerow(['course_name', 'course_number', 'section_number', 'teacher_id', 'teacher_name', 'code', 'student_id'])
for enrollment_id, enrollment_data in self.enrollments.iteritems():
school_id, course_id, student_id, course_number, section_number, teacher_id = enrollment_id.split('.')
course_name = self.courses[course_number]['Course_Name']
teacher_name = self.teachers[teacher_id]['Last_Name']
section_id = '.'.join((school_id, course_number, section_number))
section_data = self.sections[section_id]
term = section_data['[13]Abbreviation']
w.writerow([course_name, course_number, section_number, teacher_id, teacher_name, course_id, student_id])
def writeDistrictFile(self):
with open(os.path.join(self.output_dir, 'CODE_DISTRICT.txt'), 'w') as f:
w = csv.writer(f, dialect='excel', quoting=csv.QUOTE_ALL)
w.writerow(['district_code', 'district_name',
'address_1', 'address_2', 'city', 'state', 'zip', 'phone', 'current_school_year'])
w.writerow(['2165334', 'Kentfield Elementary School District',
'750 College Ave', '', 'Kentfield', 'CA', '94904', '415-458-5130', self.current_year])
def writeSchoolsFile(self):
with open(os.path.join(self.output_dir, 'SCHOOL.txt'), 'w') as f:
w = csv.writer(f, dialect='excel', quoting=csv.QUOTE_ALL)
w.writerow(['school_code', 'school_name', 'district_code', 'grade_start', 'grade_end',
'address_1', 'address_2', 'city', 'state', 'zip', 'phone'])
w.writerow([104, 'Adaline E. Kent Middle School', '2165334', '5', '8',
'800 College Ave', '', 'Kentfield', 'CA', '94904', '415-458-5970'])
def writeSectionsFile(self):
course_year = str(self.current_year + 1)
with open(os.path.join(self.output_dir, 'PIF_SECTION.txt'), 'w') as f:
w = csv.writer(f, dialect='excel', quoting=csv.QUOTE_ALL)
w.writerow(['native_section_code', 'school_code', # 'section_type', 'section_type_description',
'date_start', 'date_end', 'school_year', 'course_number',
'course_name','section_name', 'section_number'])
for school_section_id in self.sections:
row = self.sections[school_section_id]
school_id = row['SchoolID']
course_number = row['Course_Number']
section_number = row['Section_Number']
course_id = '.'.join((school_id, course_number))
# Filter out mapped courses
if course_id not in self.courses or course_id in self.course_map:
continue
# Filter out mapped sections
native_section_code = '.'.join((course_number, section_number))
if native_section_code in self.section_map:
continue
course_name = self.courses[course_id]['Target_Course_Name']
period = re.sub(r'^(\d+)(.+)$', r'P\1', row['Expression'])
date_start = formatDate(row['[13]FirstDay'])
date_end = formatDate(row['[13]LastDay'])
# TODO: Check Onboarding Guide about maximum length of the section name
section_name = course_name + ' - ' + self.getTeacherName('T' + row['[05]TeacherNumber']) + ' ' + period + ' ' + course_year
w.writerow([native_section_code, school_id,
date_start, date_end,
self.current_year, course_number,
course_name, section_name, section_number])
def writeStaffFile(self):
with open(os.path.join(self.output_dir, 'STAFF.txt'), 'w') as f:
w = csv.writer(f, dialect='excel', quoting=csv.QUOTE_ALL)
w.writerow(['staff_code', 'last_name', 'first_name', 'email', 'staff_number', 'federated_id'])
for teacher_id, teacher_data in self.teachers.iteritems():
if teacher_data['Assigned'] != '0':
school_id = teacher_data['SchoolID']
teacher_number = teacher_data['TeacherNumber']
last_name = teacher_data['Last_Name']
first_name = teacher_data['First_Name']
email = teacher_data['Email_Addr']
w.writerow([teacher_number, last_name, first_name, email, teacher_number, email])
def writeStudentFile(self):
with open(os.path.join(self.output_dir, 'STUDENT.txt'), 'w') as f:
w = csv.writer(f, dialect='excel', quoting=csv.QUOTE_ALL)
w.writerow(['student_code', 'last_name', 'first_name', 'gender_code',
'email', 'student_number', 'federated_id'])
for student_id, student_data in self.students.iteritems():
if student_data['Enrolled'] == '1':
school_id = student_data['SchoolID']
last_name = student_data['Last_Name']
first_name = student_data['First_Name']
student_number = student_data['Student_Number']
gender = student_data['Gender']
email = student_data['Network_ID'] + '@kentfieldschools.org'
w.writerow([student_number, last_name, first_name, gender,
email, student_number, email])
def writeSectionStaffFile(self):
with open(os.path.join(self.output_dir, 'PIF_SECTION_STAFF.txt'), 'w') as f:
w = csv.writer(f, dialect='excel', quoting=csv.QUOTE_ALL)
w.writerow(['section_teacher_code', 'staff_code', 'native_section_code',
'date_start', 'date_end', 'school_year', 'teacher_of_record'])
for school_section_id in self.sections:
row = self.sections[school_section_id]
school_id = row['SchoolID']
course_number = row['Course_Number']
section_number = row['Section_Number']
course_id = '.'.join((school_id, course_number))
# Filter out mapped courses
if course_id not in self.courses or course_id in self.course_map:
continue
# Filter out mapped sections
native_section_code = '.'.join((course_number, section_number))
if native_section_code in self.section_map:
continue
teacher_number = row['[05]TeacherNumber']
section_teacher_code = '.'.join((course_number, section_number, teacher_number))
native_section_code = '.'.join((course_number, section_number))
# Use real teacher assingment dates if possible
w.writerow([section_teacher_code, teacher_number, native_section_code,
formatDate(row['[13]FirstDay']), formatDate(row['[13]LastDay']),
self.current_year, 'true'])
def writeSectionStudentFile(self):
seen_enrollments = { }
with open(os.path.join(self.output_dir, 'PIF_SECTION_STUDENT.txt'), 'w') as f:
w = csv.writer(f, dialect='excel', quoting=csv.QUOTE_ALL)
w.writerow(['section_student_code', 'student_code', 'native_section_code',
'date_start', 'date_end', 'school_year'])
for enrollment_id, enrollment_data in self.enrollments.iteritems():
school_id, course_number, section_number, student_id = enrollment_id.split('.')
student_number = self.students[student_id]['Student_Number']
# Change setion_student_code and native_section_code based
# on mapped courses and sections
course_id = '.'.join((school_id, course_number))
if course_id in self.course_map:
course_number = self.course_map[course_id]
source_section_code = '.'.join((course_number, section_number))
native_section_code = source_section_code
if native_section_code in self.section_map:
native_section_code = self.section_map[native_section_code]
section_student_code = '.'.join((native_section_code, student_number))
if section_student_code not in seen_enrollments:
date_start = formatDate(enrollment_data['DateEnrolled'])
date_end = formatDate(enrollment_data['DateLeft'])
seen_enrollments[section_student_code] = (source_section_code, date_start, date_end)
w.writerow([section_student_code, student_number, native_section_code,
date_start, date_end, self.current_year])
# Now handle special "extras" - teachers posing as students, etc.
for school_section_id in self.extras:
school_id, course_number, section_number = school_section_id.split('.')
extras = self.extras[school_section_id]
for student_id in extras:
student_number = self.students[student_id]['Student_Number']
section_student_code = '.'.join((course_number, section_number, student_number))
native_section_code = '.'.join((course_number, section_number))
date_start = formatDate(self.sections[school_section_id]['[13]FirstDay'])
date_end = formatDate(self.sections[school_section_id]['[13]LastDay'])
w.writerow([section_student_code, student_number, native_section_code,
date_start, date_end, self.current_year])
def writeAssignmentFile(self):
with open(os.path.join(self.output_dir, 'ASSIGNMENT.txt'), 'w') as f:
w = csv.writer(f, dialect='excel', quoting=csv.QUOTE_ALL)
w.writerow(['native_assignment_code', 'staff_code', 'school_year', 'institution_code',
'date_start', 'date_end', 'position_code'])
school_id = '104'
for teacher_id, teacher_data in self.teachers.iteritems():
if teacher_data['Assigned'] == '2':
teacher_number = teacher_data['TeacherNumber']
native_assignment_code = '.'.join((school_id, teacher_number))
w.writerow([native_assignment_code, teacher_number, self.current_year, school_id,
self.year_start, self.year_end, 'Teacher'])
def zipAllFiles(self):
with zipfile.ZipFile(os.path.join(self.output_dir, 'KENTFIELD.zip'), 'w') as myzip:
for name in ['CODE_DISTRICT', 'SCHOOL', 'STAFF', 'STUDENT', 'PIF_SECTION', 'PIF_SECTION_STAFF', 'PIF_SECTION_STUDENT', 'ASSIGNMENT']:
arcname = name + '.txt'
myzip.write(os.path.join(self.output_dir, arcname), arcname)
def uploadZipFile(self, host, folder, username, password):
try:
# cnopts = pysftp.CnOpts(knownhosts='./known_hosts.txt')
# cnopts.hostkeys = None
sftp = pysftp.Connection(host, username=username, password=password)
except Exception as e:
print "Can't connect SFTP: %s" % e
return
try:
with sftp.cd(folder):
localpath = os.path.join(self.output_dir, 'KENTFIELD.zip')
sftp.put(localpath)
print "zip file uploaded"
except Exception as e:
print "Can't put SFTP: %s" % e
finally:
sftp.close()
if __name__ == '__main__':
parser = argparse.ArgumentParser(description='Process files for Pearson EasyBridge.')
parser.add_argument('-a', '--autosend', action='store_true',
help='use autosend files (no header line)')
parser.add_argument('-t', '--effective-date')
parser.add_argument('-n', '--dry-run', action='store_true')
parser.add_argument('-s', '--source_dir', help='source directory')
parser.add_argument('-o', '--output_dir', help='output directory')
parser.add_argument('-u', '--username')
parser.add_argument('-p', '--password')
parser.add_argument('-d', '--dump', action='store_true',
help='dump courses and sections')
args = parser.parse_args()
eff_date = None
if args.effective_date:
eff_date = parseDate(args.effective_date)
uploader = EasyBridgeUploader(source_dir=args.source_dir, output_dir=args.output_dir, autosend=args.autosend, effective_date=eff_date)
uploader.loadData()
if args.dump:
uploader.dumpAllCourses()
uploader.dumpActiveEnrollments()
else:
uploader.writeDistrictFile()
uploader.writeSchoolsFile()
uploader.writeSectionsFile()
uploader.writeStaffFile()
uploader.writeStudentFile()
uploader.writeSectionStaffFile()
uploader.writeSectionStudentFile()
uploader.writeAssignmentFile()
uploader.zipAllFiles()
if args.dry_run:
print "dry run, zip file created but not uploaded"
else:
uploader.uploadZipFile('sftp.pifdata.net', 'SIS', args.username, args.password)
| {"/flaskapp.py": ["/app_config.py"]} |
60,358 | MeharunisaAshraf/Django_html | refs/heads/main | /store/migrations/0016_vendor.py | # Generated by Django 2.1.15 on 2021-01-13 11:30
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('store', '0015_auto_20210103_2334'),
]
operations = [
migrations.CreateModel(
name='Vendor',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('customer', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='store.Customer')),
],
),
]
| {"/store/urls.py": ["/store/views.py", "/store/middlewares/auth.py"], "/store/views.py": ["/store/models/catalogue.py", "/store/models/customer.py", "/store/models/staff.py", "/store/middlewares/auth.py"], "/store/admin.py": ["/store/models/catalogue.py", "/store/models/customer.py", "/store/models/staff.py"], "/store/models/__init__.py": ["/store/models/catalogue.py", "/store/models/customer.py"]} |
60,359 | MeharunisaAshraf/Django_html | refs/heads/main | /store/urls.py | """Onlineshop URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/2.1/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-based views
1. Add an import: from other_app.views import Home
2. Add a URL to urlpatterns: path('', Home.as_view(), name='home')
Including another URLconf
1. Import the include() function: from django.urls import include, path
2. Add a URL to urlpatterns: path('blog/', include('blog.urls'))
"""
from django.contrib import admin
from django.urls import path
from .views import Index, Signup, Login, Logout, Cart, CheckOut, Cover, OrderView, Staff
from .middlewares.auth import simple_middleware
urlpatterns = [
path('', Cover.as_view(), name='CoverPage'),
path('home', Index.as_view(), name='HomePage'),
path('signup', Signup.as_view(), name='SignupPage'),
path('login', Login.as_view(), name='LoginPage'),
path('logout', Logout.as_view()),
path('cart', simple_middleware(Cart.as_view()), name='cart'),
path('checkout',CheckOut.as_view(), name='CheckoutPage'),
path('staff', Staff.as_view(), name='StaffPage'),
path('orders', OrderView.as_view(), name='OrderPage'),
]
| {"/store/urls.py": ["/store/views.py", "/store/middlewares/auth.py"], "/store/views.py": ["/store/models/catalogue.py", "/store/models/customer.py", "/store/models/staff.py", "/store/middlewares/auth.py"], "/store/admin.py": ["/store/models/catalogue.py", "/store/models/customer.py", "/store/models/staff.py"], "/store/models/__init__.py": ["/store/models/catalogue.py", "/store/models/customer.py"]} |
60,360 | MeharunisaAshraf/Django_html | refs/heads/main | /store/migrations/0004_customer.py | # Generated by Django 2.1.15 on 2020-12-23 16:11
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('store', '0003_auto_20201219_2123'),
]
operations = [
migrations.CreateModel(
name='Customer',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('Fname', models.CharField(max_length=50)),
('Lname', models.CharField(max_length=50)),
('PhoneNumber', models.IntegerField(max_length=50)),
('Email', models.EmailField(max_length=254)),
('Password', models.CharField(max_length=100)),
('Address1', models.CharField(max_length=100)),
('Address2', models.CharField(max_length=100)),
('State', models.CharField(max_length=50)),
('City', models.CharField(max_length=50)),
('ZipCode', models.IntegerField(max_length=10)),
],
),
]
| {"/store/urls.py": ["/store/views.py", "/store/middlewares/auth.py"], "/store/views.py": ["/store/models/catalogue.py", "/store/models/customer.py", "/store/models/staff.py", "/store/middlewares/auth.py"], "/store/admin.py": ["/store/models/catalogue.py", "/store/models/customer.py", "/store/models/staff.py"], "/store/models/__init__.py": ["/store/models/catalogue.py", "/store/models/customer.py"]} |
60,361 | MeharunisaAshraf/Django_html | refs/heads/main | /store/views.py | from django.contrib.auth.hashers import make_password, check_password
from django.shortcuts import render, redirect, HttpResponseRedirect
from .models.product import Product
from .models.catalogue import Catalogue
from .models.customer import Customer
from .models.orders import Order
from .models.staff import Staff1
from django.http import HttpResponse
from django.views import View
from .templatetags import cart
from .middlewares.auth import simple_middleware
from django.utils.decorators import method_decorator
from django.contrib.auth.models import User
import datetime
from django.contrib.auth import authenticate, logout, login
# Create your views here.
# Cover page
class Cover(View):
def get(self, request):
return render(request, 'cover.html')
# creating a class for Index in which i will declare functions of different methods to call
class Index(View):
def post(self, request):
ViewId = request.POST.get('ViewId')
if ViewId:
return ViewId.image.url
# calling product id when someone will press Add to Cart
product = request.POST.get('product')
decrease = request.POST.get('decrease')
# starting session for cart
cart = request.session.get('cart')
print(cart)
if cart:
quantity = cart.get(product)
if quantity:
# for minus in cart
if decrease:
if quantity <= 1:
cart.pop(product)
else:
cart[product] = quantity - 1
else:
# for plus in cart and for Add to cart for first time
cart[product] = quantity + 1
else:
cart[product] = 1
else:
cart = {}
cart[product] = 1
request.session['cart'] = cart
print('cart', request.session['cart'])
return redirect('HomePage')
def get(self, request):
cart = request.session.get('cart')
if not cart:
request.session['cart'] = {}
# For calling products from Product function in product.py as function of get all products is being made in product.py
# products=Product.get_all_products();
product = None
# clearing cart
# request.session.get('cart').clear()
# For calling catalogue from Catalogue function in catalogue.py as function of get all catalogue is being made in catalogue.py
catalogues = Catalogue.get_all_catalogue()
# For query call on filter
catalogueID = request.GET.get('catalogueID')
if catalogueID:
product = Product.get_all_products_with_catalogueid(catalogueID)
else:
product = Product.get_all_products()
data = {}
data['product'] = product
data['catalogues'] = catalogues
# return render(request,'orders/orders.html')
return render(request, 'index.html', data)
# customer as an object
customer = Customer(Fname=Fname, Lname=Lname, PhoneNumber=PhoneNumber, Email=Email,
Password=Password, Address=Address, State=State, City=City, ZipCode=ZipCode)
# creating a class for signup in which i will declare functions of different methods to call
class Signup(View):
# for signup page when method is GET, after pressign on "signup" on nav bar
def get(self, request):
return render(request, 'signup.html')
# for creating account when method is POST, after pressign on button "create account"
def post(self, request):
Data = request.POST
Fname = Data.get('Fname')
Lname = Data.get('Lname')
PhoneNumber = Data.get('PhoneNumber')
Email = Data.get('Email')
Password = Data.get('Password')
Address = Data.get('Address')
State = Data.get('State')
City = Data.get('City')
ZipCode = Data.get('ZipCode')
# For passing values which have been written once by customer
value = {'Fname': Fname, 'Lname': Lname, 'PhoneNumber': PhoneNumber, 'Email': Email,
'Address': Address, 'State': State, 'City': City, 'ZipCode': ZipCode}
# customer as an object
customer = Customer(Fname=Fname, Lname=Lname, PhoneNumber=PhoneNumber, Email=Email,
Password=Password, Address=Address, State=State, City=City, ZipCode=ZipCode)
# calling the above validation function for customer here
error_message = self.ValidationCustomer(customer)
# Saving Values of Form
if not error_message:
print(Fname, Lname, PhoneNumber, Email,
Password, State, City, ZipCode)
# for getting hashed password
customer.Password = make_password(customer.Password)
# for calling values of customer from /model/customer.py>>>>Function register
customer.register()
# redirecting to the home page after creating the account
return redirect('HomePage')
else:
Data = {'error': error_message, 'values': value}
return render(request, 'signup.html', Data)
# for Validation
def ValidationCustomer(self, customer):
# Validation of Form Entries
# Applying some conditions
error_message = None
if(not customer.Fname):
error_message = None
if len(customer.Fname) < 3:
error_message = "First Name should not be less than 3 characters.."
elif not customer.Lname:
error_message = None
elif len(customer.Lname) < 3:
error_message = "Last Name should not be less than 3 characters.."
elif not customer.PhoneNumber:
error_message = None
elif len(customer.PhoneNumber) < 11:
error_message = "Phone Number must be of 11 characters.."
elif len(customer.Password) < 8:
error_message = "Password must be of 8 characters.."
elif customer.EmailExistsAlready():
error_message = "Email already exists.."
return error_message
# creating a class of login as view in which i will define some function with different methods of call
class Login(View):
# for middleware to return to this page after logig in
return_url = None
# for login page when method is GET, after pressing on "login" on nav bar
def get(self, request):
Login.return_url = request.GET.get('return_url')
return render(request, 'login.html')
# for login page when method is POST, after pressign on button "login"
def post(self, request):
Data = request.POST
Email = Data.get('Email')
Password = Data.get('Password')
# for checking if customer email exists or not
customer = Customer.get_customer_by_email_at_login(Email)
error_message = None
##############Changings
# for checking if staff email exists or not
staff = Staff1.get_staff_by_email_at_login(Email)
##############end
if customer:
# for checking if password is right or not
flag = check_password(Password, customer.Password)
if flag:
# creating session to save email and id of customer in session
request.session['customer_id'] = customer.id
request.session['customer_email'] = customer.Email
if Login.return_url:
return HttpResponseRedirect(Login.return_url)
else:
Login.return_url = None
return redirect('HomePage')
else:
error_message = "Wrong Password.."
#elif request.user is not None:
#return redirect('StaffPage')
#######Changings
elif staff:
# for checking if password is right or not
flag = check_password(Password, staff.Password)
if flag:
# creating session to save email in session
request.session['staff_email'] = staff.Email
if Login.return_url:
return HttpResponseRedirect(Login.return_url)
else:
Login.return_url = None
return redirect('StaffPage')
else:
error_message = "Wrong Password.."
#######end
else:
error_message = "Email doesn't exists.."
return render(request, 'login.html', {'error': error_message})
class Staff(View):
def get(self, request):
if request.user is not None:
order = None
order = Order.get_all_orders()
data = {}
data['order'] = order
return render(request, 'staff.html', data)
# Logout
class Logout(View):
def get(self, request):
request.session.clear()
if request.user is not None:
request.user = {}
return redirect('CoverPage')
return redirect('CoverPage')
# Cart
class Cart(View):
def get(self, request):
print()
ids = list(request.session.get('cart').keys())
product = Product.get_products_by_id(ids)
print(product)
# if not request.session.get('customer_id'):
# return redirect('LoginPage')
return render(request, 'cart.html', {'product': product})
# Check Out
class CheckOut(View):
def post(self, request):
address = request.POST.get('Address')
phonenumber = request.POST.get('PhoneNumber')
customer = request.session.get('customer_id')
cart = request.session.get('cart')
product = Product.get_products_by_id(list(cart.keys()))
print(address, phonenumber, customer, cart, product)
# iterating in products which has been added in cart to get the price
for product in product:
print(cart.get(str(product.id)))
order = Order(customer=Customer(id=customer),
product=product,
price=product.price,
address=address,
phonenumber=phonenumber,
quantity=cart.get(str(product.id)))
if not request.session.get('customer_id'):
return redirect('LoginPage')
# saving the selected products as in orders
order.placeOrder()
# clearing cart
request.session['cart'] = {}
return redirect('cart')
# Orders
class OrderView(View):
def get(self, request):
customer = request.session.get('customer_id')
orders = Order.get_orders_by_customer(customer)
print(orders)
return render(request, 'orders.html', {'orders': orders})
| {"/store/urls.py": ["/store/views.py", "/store/middlewares/auth.py"], "/store/views.py": ["/store/models/catalogue.py", "/store/models/customer.py", "/store/models/staff.py", "/store/middlewares/auth.py"], "/store/admin.py": ["/store/models/catalogue.py", "/store/models/customer.py", "/store/models/staff.py"], "/store/models/__init__.py": ["/store/models/catalogue.py", "/store/models/customer.py"]} |
60,362 | MeharunisaAshraf/Django_html | refs/heads/main | /store/templatetags/cart.py | from django import template
register = template.Library()
@register.filter(name = 'product_is_in_cart')
#defining a function that will tell us either the product is in cart or not
def product_is_in_cart(product , cart):
keys = cart.keys()
for id in keys:
try:
if int(id) == product.id:
return True
except :
return False
print(id,keys,product.id)
return False;
@register.filter(name = 'product_quantity_in_cart')
def product_quantity_in_cart(product , cart):
keys = cart.keys()
for id in keys:
if int(id) == product.id:
return cart.get(id) #for showing quantity of product in cart
return 0;
#for total price of individual product in cart
@register.filter(name = 'product_total_price_in_cart')
def product_total_price_in_cart(product , cart):
return product.price * product_quantity_in_cart(product , cart)
@register.filter(name = 'total_cart_price')
#for total price of all products in cart
def total_cart_price(product , cart):
sum = 0;
for product in product:
sum += product_total_price_in_cart(product , cart)
return sum
#filter for currency
@register.filter(name = 'currency')
def currency(Number):
return 'Rs ' + str(Number)
#filter to use in orders.html
@register.filter(name='multiply')
def multiply(number , number1):
return number * number1
| {"/store/urls.py": ["/store/views.py", "/store/middlewares/auth.py"], "/store/views.py": ["/store/models/catalogue.py", "/store/models/customer.py", "/store/models/staff.py", "/store/middlewares/auth.py"], "/store/admin.py": ["/store/models/catalogue.py", "/store/models/customer.py", "/store/models/staff.py"], "/store/models/__init__.py": ["/store/models/catalogue.py", "/store/models/customer.py"]} |
60,363 | MeharunisaAshraf/Django_html | refs/heads/main | /store/middlewares/auth.py | from django.shortcuts import redirect
def simple_middleware(get_request):
def middleware(request):
print(request.session.get('customer_id'))
returnUrl = request.META['PATH_INFO']
print(request.META['PATH_INFO'])
#if customer is not logged in already
if not request.session.get('customer_id'):
return redirect(f'login?return_url={returnUrl}')
#return redirect(f'login?return_url={returnUrl}')
#if logged in already
response = get_request(request)
return response
return middleware | {"/store/urls.py": ["/store/views.py", "/store/middlewares/auth.py"], "/store/views.py": ["/store/models/catalogue.py", "/store/models/customer.py", "/store/models/staff.py", "/store/middlewares/auth.py"], "/store/admin.py": ["/store/models/catalogue.py", "/store/models/customer.py", "/store/models/staff.py"], "/store/models/__init__.py": ["/store/models/catalogue.py", "/store/models/customer.py"]} |
60,364 | MeharunisaAshraf/Django_html | refs/heads/main | /store/migrations/0015_auto_20210103_2334.py | # Generated by Django 2.1.15 on 2021-01-03 18:34
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('store', '0014_auto_20210103_2333'),
]
operations = [
migrations.RenameField(
model_name='order',
old_name='Address',
new_name='address',
),
migrations.RenameField(
model_name='order',
old_name='Date',
new_name='date',
),
migrations.RenameField(
model_name='order',
old_name='PhoneNumber',
new_name='phonenumber',
),
migrations.RenameField(
model_name='order',
old_name='Price',
new_name='price',
),
migrations.RenameField(
model_name='order',
old_name='Product',
new_name='product',
),
migrations.RenameField(
model_name='order',
old_name='Quantity',
new_name='quantity',
),
migrations.RenameField(
model_name='order',
old_name='Status',
new_name='status',
),
]
| {"/store/urls.py": ["/store/views.py", "/store/middlewares/auth.py"], "/store/views.py": ["/store/models/catalogue.py", "/store/models/customer.py", "/store/models/staff.py", "/store/middlewares/auth.py"], "/store/admin.py": ["/store/models/catalogue.py", "/store/models/customer.py", "/store/models/staff.py"], "/store/models/__init__.py": ["/store/models/catalogue.py", "/store/models/customer.py"]} |
60,365 | MeharunisaAshraf/Django_html | refs/heads/main | /store/migrations/0003_auto_20201219_2123.py | # Generated by Django 2.1.15 on 2020-12-19 16:23
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('store', '0002_category'),
]
operations = [
migrations.RenameModel(
old_name='Category',
new_name='Catalogue',
),
migrations.AddField(
model_name='product',
name='catalogue',
field=models.ForeignKey(default=1, on_delete=django.db.models.deletion.CASCADE, to='store.Catalogue'),
),
]
| {"/store/urls.py": ["/store/views.py", "/store/middlewares/auth.py"], "/store/views.py": ["/store/models/catalogue.py", "/store/models/customer.py", "/store/models/staff.py", "/store/middlewares/auth.py"], "/store/admin.py": ["/store/models/catalogue.py", "/store/models/customer.py", "/store/models/staff.py"], "/store/models/__init__.py": ["/store/models/catalogue.py", "/store/models/customer.py"]} |
60,366 | MeharunisaAshraf/Django_html | refs/heads/main | /store/migrations/0014_auto_20210103_2333.py | # Generated by Django 2.1.15 on 2021-01-03 18:33
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('store', '0013_auto_20210103_1949'),
]
operations = [
migrations.RenameField(
model_name='order',
old_name='Customer',
new_name='customer',
),
]
| {"/store/urls.py": ["/store/views.py", "/store/middlewares/auth.py"], "/store/views.py": ["/store/models/catalogue.py", "/store/models/customer.py", "/store/models/staff.py", "/store/middlewares/auth.py"], "/store/admin.py": ["/store/models/catalogue.py", "/store/models/customer.py", "/store/models/staff.py"], "/store/models/__init__.py": ["/store/models/catalogue.py", "/store/models/customer.py"]} |
60,367 | MeharunisaAshraf/Django_html | refs/heads/main | /store/migrations/0018_delete_staff.py | # Generated by Django 2.1.15 on 2021-01-22 14:21
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('store', '0017_auto_20210122_1824'),
]
operations = [
migrations.DeleteModel(
name='Staff',
),
]
| {"/store/urls.py": ["/store/views.py", "/store/middlewares/auth.py"], "/store/views.py": ["/store/models/catalogue.py", "/store/models/customer.py", "/store/models/staff.py", "/store/middlewares/auth.py"], "/store/admin.py": ["/store/models/catalogue.py", "/store/models/customer.py", "/store/models/staff.py"], "/store/models/__init__.py": ["/store/models/catalogue.py", "/store/models/customer.py"]} |
60,368 | MeharunisaAshraf/Django_html | refs/heads/main | /store/admin.py | from django.contrib import admin
#Register your models here.
#For list view
class AdminProduct(admin.ModelAdmin):
list_display = ['name','price','catalogue']
#Product Table registered here as
from .models.product import Product
admin.site.register(Product,AdminProduct)
#For list view
class AdminCatalogue(admin.ModelAdmin):
list_display = ['name']
#Catalogue Table registered here as
from .models.catalogue import Catalogue
admin.site.register(Catalogue,AdminCatalogue)
#For list view
class AdminCustomer(admin.ModelAdmin):
list_display = ['Fname','Lname','PhoneNumber','Email','Password','Address','State','City','ZipCode']
#Customer Table(Model) registered here as
from .models.customer import Customer
admin.site.register(Customer,AdminCustomer)
#For list view
class AdminOrder(admin.ModelAdmin):
list_display = ['product','customer','quantity','price','address','phonenumber','date','status']
#Order Table(Model) registered here as
from .models.orders import Order
admin.site.register(Order,AdminOrder)
#For list view
class AdminStaff(admin.ModelAdmin):
list_display = ['Fname','Lname','PhoneNumber','Email','Password']
#Staff Table(Model) registered here as
from .models.staff import Staff1
admin.site.register(Staff1,AdminStaff) | {"/store/urls.py": ["/store/views.py", "/store/middlewares/auth.py"], "/store/views.py": ["/store/models/catalogue.py", "/store/models/customer.py", "/store/models/staff.py", "/store/middlewares/auth.py"], "/store/admin.py": ["/store/models/catalogue.py", "/store/models/customer.py", "/store/models/staff.py"], "/store/models/__init__.py": ["/store/models/catalogue.py", "/store/models/customer.py"]} |
60,369 | MeharunisaAshraf/Django_html | refs/heads/main | /store/models/customer.py | from django.db import models
class Customer (models.Model):
Fname = models.CharField(max_length=50)
Lname = models.CharField(max_length=50)
PhoneNumber = models.IntegerField()
Email = models.EmailField()
Password = models.CharField(max_length=100)
Address = models.CharField(max_length=100)
State = models.CharField(max_length=50)
City = models.CharField(max_length=50)
ZipCode = models.IntegerField()
# for saving values of customer as an object
def register(self):
self.save()
# for checking if customer with same email exits already
def EmailExistsAlready(self):
if Customer.objects.filter(Email = self.Email):
return True
return False
# for passing email to login
@staticmethod
def get_customer_by_email_at_login(Email):
try:
return Customer.objects.get(Email = Email)
except:
return False | {"/store/urls.py": ["/store/views.py", "/store/middlewares/auth.py"], "/store/views.py": ["/store/models/catalogue.py", "/store/models/customer.py", "/store/models/staff.py", "/store/middlewares/auth.py"], "/store/admin.py": ["/store/models/catalogue.py", "/store/models/customer.py", "/store/models/staff.py"], "/store/models/__init__.py": ["/store/models/catalogue.py", "/store/models/customer.py"]} |
60,370 | MeharunisaAshraf/Django_html | refs/heads/main | /store/migrations/0007_auto_20201225_2126.py | # Generated by Django 2.1.15 on 2020-12-25 16:26
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('store', '0006_auto_20201225_2126'),
]
operations = [
migrations.AlterField(
model_name='customer',
name='ZipCode',
field=models.IntegerField(),
),
]
| {"/store/urls.py": ["/store/views.py", "/store/middlewares/auth.py"], "/store/views.py": ["/store/models/catalogue.py", "/store/models/customer.py", "/store/models/staff.py", "/store/middlewares/auth.py"], "/store/admin.py": ["/store/models/catalogue.py", "/store/models/customer.py", "/store/models/staff.py"], "/store/models/__init__.py": ["/store/models/catalogue.py", "/store/models/customer.py"]} |
60,371 | MeharunisaAshraf/Django_html | refs/heads/main | /store/migrations/0013_auto_20210103_1949.py | # Generated by Django 2.1.15 on 2021-01-03 14:49
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('store', '0012_order'),
]
operations = [
migrations.RenameField(
model_name='order',
old_name='customer',
new_name='Customer',
),
migrations.RenameField(
model_name='order',
old_name='date',
new_name='Date',
),
migrations.RenameField(
model_name='order',
old_name='price',
new_name='Price',
),
migrations.RenameField(
model_name='order',
old_name='product',
new_name='Product',
),
migrations.RenameField(
model_name='order',
old_name='quantity',
new_name='Quantity',
),
migrations.RenameField(
model_name='order',
old_name='status',
new_name='Status',
),
]
| {"/store/urls.py": ["/store/views.py", "/store/middlewares/auth.py"], "/store/views.py": ["/store/models/catalogue.py", "/store/models/customer.py", "/store/models/staff.py", "/store/middlewares/auth.py"], "/store/admin.py": ["/store/models/catalogue.py", "/store/models/customer.py", "/store/models/staff.py"], "/store/models/__init__.py": ["/store/models/catalogue.py", "/store/models/customer.py"]} |
60,372 | MeharunisaAshraf/Django_html | refs/heads/main | /store/migrations/0011_auto_20201225_2259.py | # Generated by Django 2.1.15 on 2020-12-25 17:59
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('store', '0010_auto_20201225_2253'),
]
operations = [
migrations.AlterField(
model_name='customer',
name='Fname',
field=models.CharField(max_length=50),
),
migrations.AlterField(
model_name='customer',
name='Lname',
field=models.CharField(max_length=50),
),
migrations.AlterField(
model_name='customer',
name='PhoneNumber',
field=models.IntegerField(default=1),
preserve_default=False,
),
]
| {"/store/urls.py": ["/store/views.py", "/store/middlewares/auth.py"], "/store/views.py": ["/store/models/catalogue.py", "/store/models/customer.py", "/store/models/staff.py", "/store/middlewares/auth.py"], "/store/admin.py": ["/store/models/catalogue.py", "/store/models/customer.py", "/store/models/staff.py"], "/store/models/__init__.py": ["/store/models/catalogue.py", "/store/models/customer.py"]} |
60,373 | MeharunisaAshraf/Django_html | refs/heads/main | /store/models/catalogue.py | from django.db import models
class Catalogue(models.Model):
name = models.CharField(max_length=50)
@staticmethod
def get_all_catalogue():
return Catalogue.objects.all()
def __str__(self):
return self.name
| {"/store/urls.py": ["/store/views.py", "/store/middlewares/auth.py"], "/store/views.py": ["/store/models/catalogue.py", "/store/models/customer.py", "/store/models/staff.py", "/store/middlewares/auth.py"], "/store/admin.py": ["/store/models/catalogue.py", "/store/models/customer.py", "/store/models/staff.py"], "/store/models/__init__.py": ["/store/models/catalogue.py", "/store/models/customer.py"]} |
60,374 | MeharunisaAshraf/Django_html | refs/heads/main | /store/models/__init__.py | from .product import Product
from .catalogue import Catalogue
from .customer import Customer
from .orders import Order | {"/store/urls.py": ["/store/views.py", "/store/middlewares/auth.py"], "/store/views.py": ["/store/models/catalogue.py", "/store/models/customer.py", "/store/models/staff.py", "/store/middlewares/auth.py"], "/store/admin.py": ["/store/models/catalogue.py", "/store/models/customer.py", "/store/models/staff.py"], "/store/models/__init__.py": ["/store/models/catalogue.py", "/store/models/customer.py"]} |
60,375 | MeharunisaAshraf/Django_html | refs/heads/main | /store/models/staff.py | from django.db import models
class Staff1 (models.Model):
Fname = models.CharField(max_length=50)
Lname = models.CharField(max_length=50)
PhoneNumber = models.IntegerField()
Email = models.EmailField()
Password = models.CharField(max_length=100)
# for saving values of staff as an object
def register(self):
self.save()
# for passing email to login
@staticmethod
def get_staff_by_email_at_login(Email):
try:
return Staff1.objects.get(Email = Email)
except:
return False | {"/store/urls.py": ["/store/views.py", "/store/middlewares/auth.py"], "/store/views.py": ["/store/models/catalogue.py", "/store/models/customer.py", "/store/models/staff.py", "/store/middlewares/auth.py"], "/store/admin.py": ["/store/models/catalogue.py", "/store/models/customer.py", "/store/models/staff.py"], "/store/models/__init__.py": ["/store/models/catalogue.py", "/store/models/customer.py"]} |
60,376 | MeharunisaAshraf/Django_html | refs/heads/main | /store/migrations/0006_auto_20201225_2126.py | # Generated by Django 2.1.15 on 2020-12-25 16:26
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('store', '0005_remove_customer_address2'),
]
operations = [
migrations.RenameField(
model_name='customer',
old_name='Address1',
new_name='Address',
),
migrations.AlterField(
model_name='customer',
name='PhoneNumber',
field=models.IntegerField(),
),
]
| {"/store/urls.py": ["/store/views.py", "/store/middlewares/auth.py"], "/store/views.py": ["/store/models/catalogue.py", "/store/models/customer.py", "/store/models/staff.py", "/store/middlewares/auth.py"], "/store/admin.py": ["/store/models/catalogue.py", "/store/models/customer.py", "/store/models/staff.py"], "/store/models/__init__.py": ["/store/models/catalogue.py", "/store/models/customer.py"]} |
60,377 | MeharunisaAshraf/Django_html | refs/heads/main | /store/migrations/0019_staff1.py | # Generated by Django 2.1.15 on 2021-01-23 15:13
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('store', '0018_delete_staff'),
]
operations = [
migrations.CreateModel(
name='Staff1',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('Fname', models.CharField(max_length=50)),
('Lname', models.CharField(max_length=50)),
('PhoneNumber', models.IntegerField()),
('Email', models.EmailField(max_length=254)),
('Password', models.CharField(max_length=100)),
],
),
]
| {"/store/urls.py": ["/store/views.py", "/store/middlewares/auth.py"], "/store/views.py": ["/store/models/catalogue.py", "/store/models/customer.py", "/store/models/staff.py", "/store/middlewares/auth.py"], "/store/admin.py": ["/store/models/catalogue.py", "/store/models/customer.py", "/store/models/staff.py"], "/store/models/__init__.py": ["/store/models/catalogue.py", "/store/models/customer.py"]} |
60,378 | MeharunisaAshraf/Django_html | refs/heads/main | /store/migrations/0005_remove_customer_address2.py | # Generated by Django 2.1.15 on 2020-12-23 17:11
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('store', '0004_customer'),
]
operations = [
migrations.RemoveField(
model_name='customer',
name='Address2',
),
]
| {"/store/urls.py": ["/store/views.py", "/store/middlewares/auth.py"], "/store/views.py": ["/store/models/catalogue.py", "/store/models/customer.py", "/store/models/staff.py", "/store/middlewares/auth.py"], "/store/admin.py": ["/store/models/catalogue.py", "/store/models/customer.py", "/store/models/staff.py"], "/store/models/__init__.py": ["/store/models/catalogue.py", "/store/models/customer.py"]} |
60,379 | MeharunisaAshraf/Django_html | refs/heads/main | /store/migrations/0010_auto_20201225_2253.py | # Generated by Django 2.1.15 on 2020-12-25 17:53
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('store', '0009_auto_20201225_2209'),
]
operations = [
migrations.AlterField(
model_name='customer',
name='PhoneNumber',
field=models.IntegerField(null=True),
),
]
| {"/store/urls.py": ["/store/views.py", "/store/middlewares/auth.py"], "/store/views.py": ["/store/models/catalogue.py", "/store/models/customer.py", "/store/models/staff.py", "/store/middlewares/auth.py"], "/store/admin.py": ["/store/models/catalogue.py", "/store/models/customer.py", "/store/models/staff.py"], "/store/models/__init__.py": ["/store/models/catalogue.py", "/store/models/customer.py"]} |
60,466 | Mohaymin/QASystem | refs/heads/master | /q_a_system/spacy_play/resource_name.py | from wikipedia import wikipedia
from q_a_system.api_sevice import mysql_operations
import requests
from bs4 import BeautifulSoup
def getResourceName(nameEntityArray):
array = []
resource = ''
questionwords = ["who", "what", "where", "when", "how", "which", "list", "show"]
for nameEntity in nameEntityArray:
resDic = mysql_operations.findResource(nameEntity.text)
if len(resDic) > 0:
array.append(resDic[0][1])
else:
try:
key = wikipedia.page(nameEntity.text)
resource = key.url[30:]
array.append(resource)
except:
pass
if not array or resource == '':
name_arr = nameEntity.text.split(' ')
f = 0
for n in name_arr:
n = n.lower()
if n in questionwords:
f = 1
if f == 0:
name_arr = [x.capitalize() for x in name_arr]
array.append('_'.join(name_arr))
reduceHTTPErrorContent(array)
return array
def reduceHTTPErrorContent(array):
for i in array:
if '%' in i:
array.remove(i)
def get_resource_name(link):
resource = ''
wiki_link = "wikipedia.org/wiki/"
index = link.find(wiki_link)
if index == -1:
return resource
index = index + len(wiki_link)
for i in range(index, len(link)):
character = link[i]
if character.isalpha() or character == '_' or character == '(' or character == ')':
resource = resource + character
else:
break
print("R is", resource)
return resource
def getResourceNameByGoogleSearch(stringList):
# for i in stringList:
links = ["https://www.google.com/search?q=" + stringList]
print(links[0])
page = requests.get(links[0])
soup = BeautifulSoup(page.content, 'html.parser')
out_file = open("web_response.txt", "w", encoding='utf-8')
out_file.write(soup.prettify())
containers = soup.find_all('a')
for tag in containers:
response_link = tag.get('href')
resource = get_resource_name(response_link)
if(resource != ''):
print(resource)
print("______________________________")
break
| {"/main.py": ["/q_a_system/spacy_play/property_selection.py", "/q_a_system/web_scrape/propertyScrape.py"]} |
60,467 | Mohaymin/QASystem | refs/heads/master | /q_a_system/api_sevice/mysql_operations.py | from q_a_system.api_sevice import db_connect
def findSparqlQueryID(whWord, question):
queryIDs = []
queryIDs = findIfAggregate(question)
if len(queryIDs) > 0:
return queryIDs
cursor = db_connect.connection.cursor()
try:
sql = "SELECT sparql_id FROM sparql_wh WHERE wh_id = ( SELECT wh_id FROM wh_word WHERE wh_word_name = '" + whWord + "' )"
cursor.execute(sql)
results = cursor.fetchall()
for row in results:
queryIDs.append(row[0])
except:
print("Something else went wrong")
cursor.close()
return queryIDs
def findIfAggregate(question):
queryIDs = []
questionWords = question.split(' ')
questionWords[-1] = questionWords[-1].replace("?", "")
for word in questionWords:
if word in ['top', 'maximum']:
queryIDs = [22]
elif word in ['total']:
queryIDs = [23]
elif word in ['average']:
queryIDs = [24]
return queryIDs
def getAllSparqlQuery(queryIDs):
sql = "SELECT * FROM sparql_query WHERE query_id IN ( "
temp = 0
for queryID in queryIDs:
sql = sql + str(queryID)
if temp != len(queryIDs) - 1:
sql = sql + ", "
temp = temp + 1
sql = sql + " )"
cursor = db_connect.connection.cursor()
cursor.execute(sql)
results = cursor.fetchall()
cursor.close()
return results
def findResource(nameEntity):
sql = "SELECT * FROM resource_dictionary WHERE name_entity = '" + nameEntity + "'"
cursor = db_connect.connection.cursor()
cursor.execute(sql)
results = cursor.fetchall()
cursor.close()
return results
| {"/main.py": ["/q_a_system/spacy_play/property_selection.py", "/q_a_system/web_scrape/propertyScrape.py"]} |
60,468 | Mohaymin/QASystem | refs/heads/master | /q_a_system/spacy_play/keyword_extraction.py | from q_a_system.global_pack import constant
def getAllKeywords(question):
question = constant.nlp(question)
### this is added to solve the problem when "the mayor","what language" gets as keyword, it doesn't match the property. by this we get "mayor","language" as keyowrd.
questionwords = ["who", "what", "where", "when", "how", "which", "list", "whose"]
commonwords = ["the", "a", "an", "is", "are", "were", "can", "could", "would", "does", "has", "was", "had", "have", "did", "will", "as", "do", "many", "much"]
keyword = []
for word in question:
if (word.is_stop == False) and (word.pos_ != 'PUNCT') and (word.text != '\n'):
w = word.text
ar = w.split(' ')
arr = []
for i in ar:
i = i.lower()
if (i not in questionwords) and (i not in commonwords):
arr.append(i)
# keyword.append(i)
keyword.append(' '.join(arr))
return keyword
def removeNounChunks(question, keywordList):
sentence = constant.nlp(question)
for chunk in sentence.noun_chunks:
try:
keywordList.remove(chunk.text)
except:
pass
| {"/main.py": ["/q_a_system/spacy_play/property_selection.py", "/q_a_system/web_scrape/propertyScrape.py"]} |
60,469 | Mohaymin/QASystem | refs/heads/master | /q_a_system/global_pack/constant.py | import spacy
# lang = 'en_vectors_web_lg'
lang = 'en_core_web_lg'
# lang = 'en_core_web_md'
# lang = 'en_core_web_sm'
# lang = 'en'
minSimilarity = 0.40
nlp = spacy.load(lang)
merge_nps = nlp.create_pipe("merge_noun_chunks")
nlp.add_pipe(merge_nps)
prefix = """ PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX dbo:<http://dbpedia.org/ontology/>
PREFIX res:<http://dbpedia.org/resource/> """
# DBs
TABLE_PHRASE = 'phrase'
TABLE_KEYWORD = 'keyword'
TABLE_RELATION = 'relation'
COLUMN_ID = 'id'
COLUMN_PHRASE = 'phrase'
COLUMN_KEYWORD = 'keyword'
COLUMN_PHRASE_ID = 'phraseId'
COLUMN_KEYWORD_ID = 'keywordId'
COLUMN_RELATION_ID = 'relationId'
| {"/main.py": ["/q_a_system/spacy_play/property_selection.py", "/q_a_system/web_scrape/propertyScrape.py"]} |
60,470 | Mohaymin/QASystem | refs/heads/master | /q_a_system/method/lookup_things.py | def getResKeywordString(nameEntity, keyword):
res_key = ""
''' removing unwanted name entity from array'''
questionWords = ["Who", "What", "Where", "When", "How", "Which", "List", "Show"]
name_arr = []
for i in nameEntity:
aa = i.text.split()
# aa = i.split()
for a in aa:
if a in questionWords:
break
else:
name_arr.append((a))
'''processing keyword array'''
key_arr = []
for i in keyword:
aa = i.split()
for a in aa:
if a not in name_arr:
key_arr.append((a)) # duplicate removed
'''making string'''
if len(name_arr) == 0 and len(key_arr) > 1:
res_key = key_arr[-2] + ' ' + key_arr[-1] # ex. columbus day
if len(name_arr) == 0 and len(key_arr) == 1:
res_key = key_arr[-1]
if len(name_arr) == 1:
res_key = name_arr[-1] + ' ' + key_arr[-1] # ex. Ceres discovered, China emperors
if len(name_arr) > 1:
res_key = name_arr[-2] + ' ' + name_arr[-1] # bang theory , Liz Taylor
return res_key
# print(getResKeywordString(['shishu park'], ['director', 'movies', 'park chan-wook', 'direct'])) | {"/main.py": ["/q_a_system/spacy_play/property_selection.py", "/q_a_system/web_scrape/propertyScrape.py"]} |
60,471 | Mohaymin/QASystem | refs/heads/master | /q_a_system/spacy_play/name_entity.py | from q_a_system.global_pack import constant
class NameEntity:
def __init__(self, text, label_):
self.text = text
self.label_ = label_
def getNameEntity(question):
sentence = constant.nlp(question)
array = []
for token in sentence.ents:
nameEntity = NameEntity(token.text, token.label_)
array.append(nameEntity)
if len(array) <= 0:
for chunk in sentence.noun_chunks:
nameEntity = NameEntity(chunk.text, 'PERSON')
array.append(nameEntity)
return array
| {"/main.py": ["/q_a_system/spacy_play/property_selection.py", "/q_a_system/web_scrape/propertyScrape.py"]} |
60,472 | Mohaymin/QASystem | refs/heads/master | /q_a_system/spacy_play/answer_validation.py | import re
from q_a_system.global_pack import constant
def answerValidation(answerArray, questionType):
if questionType == 'NUMBER':
for answerGroup in answerArray:
if len(answerGroup) > 0:
for i in answerGroup:
sentence = constant.nlp(i)
for token in sentence.ents:
print(token.text, token.label_)
if token.label_ in ('PERCENT', 'MONEY', 'QUANTITY', 'ORDINAL', 'CARDINAL'):
return ' '.join(answerGroup)
# Date pattern matcher
if questionType == 'DATE':
# done for coca-cola, 7-up
if len(answerArray[0]) > 0:
for i in answerArray[0]:
if i.startswith('http') == True:
dateRegex4 = re.compile('[a-z]..\d\d\d\d')
if dateRegex4.search(i):
return "".join(re.findall('\d+', i))
for answerGroup in answerArray:
if len(answerGroup) > 0 and answerGroup[0].startswith('http') == False:
dateRegex1 = re.compile('\d\d\d\d-\d\d-\d\d')
dateRegex2 = re.compile('[a-z]..\d\d\d\d')
if dateRegex1.search(answerGroup[0]):
return answerGroup[0]
elif dateRegex2.search(answerGroup[0]):
return "".join(re.findall('\d+', answerGroup[0]))
for answerGroup in answerArray:
if len(answerGroup) > 0 and answerGroup[0].startswith('http') == False:
dateRegex3 = re.compile('\d\d-\d\d-\d\d\d\d')
dateRegex4 = re.compile('\d\d\d\d')
if dateRegex3.search(answerGroup[0]) or dateRegex4.search(answerGroup[0]):
return answerGroup[0]
# person - whom +who
a = []
grouparray = []
flag1 = 0
flag2 = 0
if questionType == 'PERSON':
for answerGroup in answerArray:
if len(answerGroup) > 0:
for i in answerGroup:
if i.startswith('http') == True:
url_answer = i.split('/')[-1]
a = url_answer.split('_')
# a= ' '.join(a)
print(a)
grouparray.append(' '.join(a))
for i in a:
sentence = constant.nlp(i)
for token in sentence.ents:
print(token.text, token.label_)
if token.label_ == questionType or token.label_ in ('ORG', 'PRODUCT', 'PERSON'):
flag1 = 1
# return ' '.join(url_answer.split('_')) # answer is splited by space
if a:
flag2 = 1
# return ' '.join(a) + "(partially)"
if flag1 == 1:
return ', '.join((grouparray))
elif flag2 == 1:
return ', '.join((grouparray)) + "(partially)"
# person - where
a = []
grouparray = []
flag1 = 0
flag2 = 0
if questionType == 'LOCATION':
for answerGroup in answerArray:
if len(answerGroup) > 0:
for i in answerGroup:
if i.startswith('http') == True:
url_answer = i.split('/')[-1]
a = url_answer.split('_')
# a= ' '.join(a)
print(a)
grouparray.append(' '.join(a))
for i in a:
sentence = constant.nlp(i)
for token in sentence.ents:
print(token.text, token.label_)
if token.label_ == questionType or token.label_ in ('FAC', 'ORG', 'GPE', 'LOC'):
flag1 = 1
# return ' '.join(url_answer.split('_')) # answer is splited by space
if a:
flag2 = 1
# return ' '.join(a) + "(partially)"
if flag1 == 1:
return ', '.join((grouparray))
elif flag2 == 1:
return ', '.join((grouparray)) + "(partially)"
if questionType == 'YES/NO':
return str(answerArray[0])
for answerGroup in answerArray:
if len(answerGroup) > 0:
sentence = constant.nlp(answerGroup[0])
for token in sentence.ents:
print(token.text, token.label_)
if token.label_ == questionType:
return answerGroup[0]
if token.label_ in ('PERSON', 'ORG') and questionType == 'PERSON':
return answerGroup[0]
elif token.label_ in ('FAC', 'ORG', 'GPE', 'LOC') and questionType == 'LOCATION':
return answerGroup[0]
elif token.label_ in ('NORP', 'FAC', 'ORG', 'GPE', 'PRODUCT', 'EVENT', 'WORK_OF_ART', 'LAW',
'LANGUAGE') and questionType == 'RESOURCE':
print(token.text, token.label_)
return ', '.join(answerGroup)
elif token.label_ in (
'PERCENT', 'MONEY', 'QUANTITY', 'ORDINAL', 'CARDINAL') and questionType == 'NUMBER':
print(token.text, token.label_)
return ', '.join(answerGroup)
# resource - what+ which
a = []
grouparray = []
flag1 = 0
flag2 = 0
if questionType == 'RESOURCE':
for answerGroup in answerArray:
if len(answerGroup) > 0:
for i in answerGroup:
if i.startswith('http') == True:
url_answer = i.split('/')[-1]
a = url_answer.split('_')
# a= ' '.join(a)
print(a)
grouparray.append(' '.join(a))
for i in a:
sentence = constant.nlp(i)
for token in sentence.ents:
print(token.text, token.label_)
if token.label_ == questionType or token.label_ in (
'NORP', 'FAC', 'ORG', 'GPE', 'PRODUCT', 'EVENT', 'WORK_OF_ART', 'LAW',
'LANGUAGE'):
flag1 = 1
# return ' '.join(url_answer.split('_')) # answer is splited by space
if a:
flag2 = 1
# return ' '.join(a) + "(partially)"
if flag1 == 1:
return ', '.join((grouparray))
elif flag2 == 1:
return ', '.join((grouparray)) + "(partially)"
if questionType == 'LIST':
for answerGroup in answerArray:
if len(answerGroup) > 0:
for i in answerGroup:
if i.startswith('http') == True:
url_answer = i.split('/')[-1]
a = url_answer.split('_')
# a= ' '.join(a)
print(a)
grouparray.append(' '.join(a))
return ', '.join((grouparray))
# return ', '.join(answerArray[0]) + "(partially)" #answerArray[0][0]
return answerArray[0][0] + "(partially)"
| {"/main.py": ["/q_a_system/spacy_play/property_selection.py", "/q_a_system/web_scrape/propertyScrape.py"]} |
60,473 | Mohaymin/QASystem | refs/heads/master | /q_a_system/spacy_play/parts_of_speech.py | from q_a_system.global_pack import constant
def printAllWordDetails(question):
question = constant.nlp(question)
for token in question:
print(
f'{token.text:{12}} {token.lemma_:{12}} {token.pos_:{12}} {token.tag_:{12}} {token.dep_:{12}} {token.shape_:{12}} {token.is_alpha:{12}} {token.is_stop:}')
def tokenize(question):
array = []
for token in question:
array.append(token.text)
return array
| {"/main.py": ["/q_a_system/spacy_play/property_selection.py", "/q_a_system/web_scrape/propertyScrape.py"]} |
60,474 | Mohaymin/QASystem | refs/heads/master | /q_a_system/input_output/input.py | def getUserQuestion():
question = input('Enter a question: ')
return question;
| {"/main.py": ["/q_a_system/spacy_play/property_selection.py", "/q_a_system/web_scrape/propertyScrape.py"]} |
60,475 | Mohaymin/QASystem | refs/heads/master | /q_a_system/spacy_play/answer_type_extraction.py | """
Answer type can be date, location, number, person, resource, list
"""
from q_a_system.global_pack import constant
from q_a_system.spacy_play import parts_of_speech, keyword_extraction
def printAnswerType(ques, keyword):
question = constant.nlp(ques)
qu = ques.split(' ')
number = ["height", "elevation", "peak", "population", "temperature","score"]
date = ["birthdate", "deathDate", "date", "year", "born", "die","day"]
location = ["location", "place","universities","country"]
name = ["nicknames", "birth", "name", "nicknames", "name?"]
questionWord = parts_of_speech.tokenize(question)
arr = questionWord[0].split(' ')
questionType = "null"
if arr[0] in ['Who', 'Whom','Whose']:
questionType = "PERSON"
elif arr[0] == 'Where':
questionType = "LOCATION"
elif arr[0] == 'When':
questionType = "DATE"
elif arr[0] in ['What', 'Which']:
questionType = 'RESOURCE'
for q in qu:
if (q in number):
questionType = 'NUMBER'
break
elif (q in location ):
questionType = 'LOCATION'
break
elif (q in date):
questionType = 'DATE'
break
elif (q in name):
questionType = 'PERSON'
break
elif arr[0] in ['How']:
if len(arr)>1 and arr[1] in ["few", "little", "much", "many", "often", "tall"]:
questionType = "NUMBER"
elif len(arr)>1 and arr[1] in ["Young", "Old", "Long"]:
questionType = "DATE"
else:
questionType = "RESOURCE"
elif arr[0] in ['In', 'On','To','For','At', 'By', 'From']:
arr2 = questionWord[1].split(' ')
if arr2[0] in ['which', 'what']:
questionType = 'RESOURCE'
for q in qu:
if (q in number):
questionType = 'NUMBER'
break
elif (q in date):
questionType = 'DATE'
break
elif (q in location):
questionType = 'LOCATION'
break
elif (q in name):
questionType = 'PERSON'
break
elif arr[0] in ['Show', 'List','Give']:
if keyword in location:
questionType = 'LOCATION'
else:
questionType = 'LIST'
elif arr[0] in['Do','Does','Did']:
questionType = 'YES/NO'
return questionType
#print(printAnswerType("Which country was Bill Gates born in?",['born'])) | {"/main.py": ["/q_a_system/spacy_play/property_selection.py", "/q_a_system/web_scrape/propertyScrape.py"]} |
60,476 | Mohaymin/QASystem | refs/heads/master | /q_a_system/method/byDataDictionary.py | from spacy.matcher import Matcher
from spacy.util import filter_spans
from q_a_system.api_sevice import db_connect
from q_a_system.global_pack import constant as const
# TODO: REMOVE REDUNDANT PRINT STATEMENTS
# the following function will be called in main.py
def find_keyword_by_dataDictionary(question):
print('______________________________find_keyword_by_dataDictionary START')
keyword_list_by_data_dictionary = []
matcher = get_matcher()
doc = const.nlp(question)
# call the matcher to find matches
matches = matcher(doc)
spans = [doc[start:end] for _, start, end in matches]
filtered_spans = filter_spans(spans)
for phrase in filtered_spans:
result_list = search_for(const.COLUMN_PHRASE, phrase, const.TABLE_PHRASE)
print(f'result list : {result_list}')
if len(result_list) == 0:
# i.e phrase not found
print(f'{phrase} " not found in " {const.TABLE_PHRASE}')
print("would you like to add it?")
# TODO: perform insertion operation in phrase table and change logic accordingly
choice = input('y/n\n')
if choice == 'y' or choice == 'Y':
insert_single_value(const.COLUMN_PHRASE, phrase, const.TABLE_PHRASE)
result_list = search_for(const.COLUMN_PHRASE, phrase, const.TABLE_PHRASE)
else:
continue
# i.e. phrase found
for result in result_list:
phrase_id = result[0]
relation_list = search_for(const.COLUMN_PHRASE_ID, phrase_id, const.TABLE_RELATION)
if len(relation_list) == 0:
# i.e. this phrase do not have keyword
print(f'{phrase} (phrase id : {phrase_id}) does not have corresponding keyword')
print('would you like to add corresponding keyword?')
choice = input('[y/n]\n')
if choice == 'y':
given_keyword = input('enter the keyword\n')
create_relation(phrase_id, given_keyword)
keyword_list_by_data_dictionary.append(given_keyword)
break
# the phrase is sure to have a keyword
print(f'relation list : {relation_list}')
for relation in relation_list:
keyword_id = relation[2]
keyword_list = search_for(const.COLUMN_ID, keyword_id, const.TABLE_KEYWORD)
for row in keyword_list:
keyword = row[1]
keyword_list_by_data_dictionary.append(keyword)
print('______________________________find_keyword_by_dataDictionary END')
return keyword_list_by_data_dictionary
def search_for(column_name, value, table_name):
query = f"SELECT * FROM {table_name} WHERE {column_name} = '{value}'"
print(f'executed query: {query}')
cursor = db_connect.connection.cursor()
cursor.execute(query)
results = cursor.fetchall()
cursor.close()
return results
def create_relation(phrase_id, given_keyword):
keyword_list = search_for(const.COLUMN_KEYWORD, given_keyword, const.TABLE_KEYWORD)
if len(keyword_list) == 0:
# i.e. the given keyword is not available in keyword table
insert_single_value(const.COLUMN_KEYWORD, given_keyword, const.TABLE_KEYWORD)
keyword_list = search_for(const.COLUMN_KEYWORD, given_keyword, const.TABLE_KEYWORD)
if len(keyword_list) == 0:
print('something is fishy')
# return
print(f'keyword_list : {keyword_list}')
keyword_id = keyword_list[0][0]
insert_double_value(
const.COLUMN_PHRASE_ID, const.COLUMN_KEYWORD_ID,
int(phrase_id), int(keyword_id),
const.TABLE_RELATION
)
def insert_single_value(column_name, value, table_name):
cursor = db_connect.connection.cursor()
'''
for i in range(0, len(value), 1):
print(value[i])
sql = "INSERT INTO `phrase` (`phrase`) VALUES (%s)"
cursor.execute(sql, (str(value[i])))
db_connect.connection.commit()
'''
sql = f"INSERT INTO `{table_name}` (`{column_name}`) VALUES (%s)"
cursor.execute(sql, str(value))
db_connect.connection.commit()
cursor.close()
'''
def insert_single_value(column_name, value, table_name):
cursor = db_connect.connection.cursor()
for i in range(0, len(value), 1):
print(value[i])
sql = "INSERT INTO `phrase` (`phrase`) VALUES (%s)"
cursor.execute(sql, (str(value[i])))
db_connect.connection.commit()
cursor.close()
'''
# TODO: merge the two insert functions into one
def insert_double_value(column1, column2, value1, value2, table_name):
cursor = db_connect.connection.cursor()
sql = f"INSERT INTO {table_name} ({column1}, {column2}) VALUES (%s, %s)"
cursor.execute(sql, (str(value1), str(value2)))
db_connect.connection.commit()
def get_matcher():
# TODO: update pattern list
pattern_list = [
[
{'POS': 'NOUN', 'OP': '+'}
],
[
{'POS': 'VERB', 'OP': '+'}
],
[
{'POS': 'ADJ'},
{'POS': 'NOUN'}
],
[
{'POS': 'VERB'},
{'POS': 'NOUN'}
],
[
{'POS': 'NOUN'},
{'POS': 'ADP'},
{'POS': 'NOUN'}
],
]
# instantiate a Matcher instance
matcher = Matcher(const.nlp.vocab)
for pattern in pattern_list:
matcher.add("Noun phrase", None, pattern)
return matcher
# find_keyword_by_dataDictionary('When did Operation Overlord commence?')
| {"/main.py": ["/q_a_system/spacy_play/property_selection.py", "/q_a_system/web_scrape/propertyScrape.py"]} |
60,477 | Mohaymin/QASystem | refs/heads/master | /q_a_system/spacy_play/question_type_extraction.py | from q_a_system.global_pack import constant
from q_a_system.spacy_play import parts_of_speech
def findQuestionType(ques):
question = constant.nlp(ques)
questionWord = parts_of_speech.tokenize(question)
word = ""
arr = questionWord[0].split(' ')
arr2 = questionWord[1].split(' ')
if arr[0].lower() in ['how', 'what', 'where', 'when', 'which', 'who', 'whom', 'list', 'whose']:
word = arr[0].lower()
elif arr[0].lower() in ['show', 'give']:
word = "list"
elif arr[0].lower() in ['in', 'on', 'to'] and (arr2[0].lower() in ['which', 'what']):
word = arr2[0].lower()
elif arr[0].lower() in ['do', 'does', 'did']:
word = arr[0].lower()
return word
| {"/main.py": ["/q_a_system/spacy_play/property_selection.py", "/q_a_system/web_scrape/propertyScrape.py"]} |
60,478 | Mohaymin/QASystem | refs/heads/master | /q_a_system/api_sevice/db_connect.py | import pymysql
# Open database connection
hostname = "myclouddb.c4hfxbeu2kdo.ap-southeast-1.rds.amazonaws.com"
user = "admincoder"
password = "adm!nadm!n"
databaseName = "qasystemdb"
# connection = pymysql.connect(hostname, user, password, databaseName)
connection = pymysql.connect("localhost", "root", "", "qasystem")
# connection = pymysql.connect("localhost","root","", "qa2", port=8111) #for aboni
# prepare a cursor object using cursor() method
cursor = connection.cursor()
# disconnect from server
# connection.close()
| {"/main.py": ["/q_a_system/spacy_play/property_selection.py", "/q_a_system/web_scrape/propertyScrape.py"]} |
60,479 | Mohaymin/QASystem | refs/heads/master | /q_a_system/spacy_play/property_selection.py | from q_a_system.global_pack import constant
from q_a_system.web_scrape import propertyScrape
def removeDuplicates(array):
temp_array = []
for i in array:
if i not in temp_array:
temp_array.append(i)
return temp_array
def getActualProperty(keywordList, propertyList):
minSimilarity = constant.minSimilarity
actualProperty = []
for propertyListSingleRes in propertyList:
array = []
for property in propertyListSingleRes:
for keyword in keywordList:
keyword = constant.nlp(keyword)
propertyLabel = constant.nlp(property.label)
propertyProperty = constant.nlp(property.property)
wordSimilarity = keyword.similarity(propertyLabel)
if keyword.similarity(propertyProperty) > wordSimilarity:
wordSimilarity = keyword.similarity(propertyProperty)
if minSimilarity < wordSimilarity:
b = False
for arrayObject in array:
if arrayObject.property == property.property:
b = True
if arrayObject.similarity < wordSimilarity:
arrayObject.similarity = wordSimilarity
if not b:
property.similarity = wordSimilarity
array.append(property)
array = removeDuplicates(array)
array.sort(key=lambda x: x.similarity, reverse=True)
actualProperty.append(array)
return actualProperty
def addAdditionalSet(keywordListByDD):
array = []
for k in keywordListByDD:
array.append(propertyScrape.Property('dbo', k))
array.append(propertyScrape.Property('dbp', k))
return array
| {"/main.py": ["/q_a_system/spacy_play/property_selection.py", "/q_a_system/web_scrape/propertyScrape.py"]} |
60,480 | Mohaymin/QASystem | refs/heads/master | /q_a_system/api_sevice/api_dbpedia.py | from SPARQLWrapper import SPARQLWrapper, JSON, XML
import numpy as np
from q_a_system.api_sevice import mysql_operations
from q_a_system.global_pack import constant
from q_a_system.spacy_play import property_selection
from concurrent.futures import ThreadPoolExecutor
sparql = SPARQLWrapper("http://dbpedia.org/sparql")
def makeZeroResSql(propertyList, query):
sqls = []
if query[2] == 2:
ind = len(propertyList) - 1
for prop1 in propertyList[ind]:
for prop2 in propertyList[ind]:
sql = ''
dboDbpCount = 0
for i in range(3, 20, 1):
if query[i] == 'dbo/dbp:':
if dboDbpCount == 0:
sql = sql + " " + prop1.propertyType + ":" + prop1.property
dboDbpCount = dboDbpCount + 1
elif dboDbpCount == 1:
sql = sql + " " + prop2.propertyType + ":" + prop2.property
else:
sql = sql + " " + query[i]
sqls.append(sql)
if query[2] == 3:
ind = len(propertyList) - 1
for prop1 in propertyList[ind]:
for prop2 in propertyList[ind]:
for prop3 in propertyList[ind]:
sql = ''
dboDbpCount = 0
for i in range(3, 20, 1):
if query[i] == 'dbo/dbp:':
if dboDbpCount == 0:
sql = sql + " " + prop1.propertyType + ":" + prop1.property
dboDbpCount = dboDbpCount + 1
elif dboDbpCount == 1:
sql = sql + " " + prop2.propertyType + ":" + prop2.property
dboDbpCount = dboDbpCount + 1
elif dboDbpCount == 2:
sql = sql + " " + prop3.propertyType + ":" + prop3.property
else:
sql = sql + " " + query[i]
sqls.append(sql)
return list(property_selection.removeDuplicates(sqls))
def makeOneResSql(propertyList, resourceList, query):
sqls = []
if query[2] == 1:
for i, resource in enumerate(resourceList):
for prop1 in propertyList[i]:
sql = ''
for i in range(3, 20, 1):
if query[i] == 'res:':
sql = sql + " res:" + resource
elif query[i] == 'dbo/dbp:':
sql = sql + " " + prop1.propertyType + ":" + prop1.property
else:
sql = sql + " " + query[i]
sqls.append(sql)
if query[2] == 2:
for i, resource in enumerate(resourceList):
for prop1 in propertyList[i]:
for propLast in propertyList[len(resourceList)]:
sql = ''
for i in range(3, 20, 1):
if query[i] == 'res:':
sql = sql + " res:" + resource
elif query[i] == 'dbo/dbp:':
if query[i+1] == 'res:' or query[i-1] == 'res:':
sql = sql + " " + prop1.propertyType + ":" + prop1.property
else:
sql = sql + " " + propLast.propertyType + ":" + propLast.property
else:
sql = sql + " " + query[i]
sqls.append(sql)
if query[2] == 3:
for i, resource in enumerate(resourceList):
for prop1 in propertyList[i]:
for propLast1 in propertyList[len(resourceList)]:
for propLast2 in propertyList[len(resourceList)]:
sql = ''
dboDbpCount = 0
for i in range(3, 20, 1):
if query[i] == 'res:':
sql = sql + " res:" + resource
elif query[i] == 'dbo/dbp:':
if query[i+1] == 'res:' or query[i-1] == 'res:':
sql = sql + " " + prop1.propertyType + ":" + prop1.property
else:
if dboDbpCount == 0:
sql = sql + " " + propLast1.propertyType + ":" + propLast1.property
dboDbpCount = dboDbpCount + 1
elif dboDbpCount == 1:
sql = sql + " " + propLast2.propertyType + ":" + propLast2.property
else:
sql = sql + " " + query[i]
sqls.append(sql)
if query[2] == 4:
for i, resource in enumerate(resourceList):
for prop1 in propertyList[i]:
for propLast1 in propertyList[len(resourceList)]:
for propLast2 in propertyList[len(resourceList)]:
for propLast3 in propertyList[len(resourceList)]:
sql = ''
dboDbpCount = 0
for i in range(3, 20, 1):
if query[i] == 'res:':
sql = sql + " res:" + resource
elif query[i] == 'dbo/dbp:':
if query[i+1] == 'res:' or query[i-1] == 'res:':
sql = sql + " " + prop1.propertyType + ":" + prop1.property
else:
if dboDbpCount == 0:
sql = sql + " " + propLast1.propertyType + ":" + propLast1.property
dboDbpCount = dboDbpCount + 1
elif dboDbpCount == 1:
sql = sql + " " + propLast2.propertyType + ":" + propLast2.property
dboDbpCount = dboDbpCount + 1
elif dboDbpCount == 2:
sql = sql + " " + propLast3.propertyType + ":" + propLast3.property
else:
sql = sql + " " + query[i]
sqls.append(sql)
return list(property_selection.removeDuplicates(sqls))
def makeTwoResSql(propertyList, resourceList, query):
sqls = []
if query[2] == 1:
for k, resource1 in enumerate(resourceList):
for j, resource2 in enumerate(resourceList):
if resource1 != resource2:
list1 = []
list2 = []
for x in propertyList[k]:
list1.append(x.property)
for y in propertyList[j]:
list2.append(y.property)
for prop in list(set(list1).intersection(list2)):
sql = ''
resNo = 1
for i in range(3, 20, 1):
if query[i] == 'res:' and resNo == 1:
sql = sql + " res:" + resource1
resNo = resNo + 1
elif query[i] == 'res:' and resNo == 2:
sql = sql + " res:" + resource2
elif query[i] == 'dbo/dbp:':
for w in propertyList[k]:
if w.property == prop:
sql = sql + " " + w.propertyType + ":" + prop
break
else:
sql = sql + " " + query[i]
sqls.append(sql)
if query[2] == 2:
for k, resource1 in enumerate(resourceList):
for j, resource2 in enumerate(resourceList):
if resource1 != resource2:
for prop1 in propertyList[k]:
for prop2 in propertyList[j]:
sql = ''
resNo = 1
for i in range(3, 20, 1):
if query[i] == 'res:' and resNo == 1:
sql = sql + " res:" + resource1
resNo = resNo + 1
elif query[i] == 'res:' and resNo == 2:
sql = sql + " res:" + resource2
elif query[i] == 'dbo/dbp:' and resNo == 1:
sql = sql + " " + prop1.propertyType + ":" + prop1.property
elif query[i] == 'dbo/dbp:' and resNo == 2:
sql = sql + " " + prop2.propertyType + ":" + prop2.property
else:
sql = sql + " " + query[i]
sqls.append(sql)
if query[2] == 3:
for k, resource1 in enumerate(resourceList):
for j, resource2 in enumerate(resourceList):
if resource1 != resource2:
for prop1 in propertyList[k]:
for prop2 in propertyList[j]:
for propLast in propertyList[len(resourceList)]:
sql = ''
dboDbpCount = 0
for i in range(3, 20, 1):
if query[i] == 'res:' and dboDbpCount == 0:
sql = sql + " res:" + resource1
dboDbpCount = dboDbpCount + 1
elif query[i] == 'res:' and dboDbpCount == 1:
sql = sql + " res:" + resource2
elif query[i] == 'dbo/dbp:':
if (query[i+1] == 'res:' or query[i-1] == 'res:') and dboDbpCount == 0:
sql = sql + " " + prop1.propertyType + ":" + prop1.property
elif (query[i+1] == 'res:' or query[i-1] == 'res:') and dboDbpCount == 1:
sql = sql + " " + prop2.propertyType + ":" + prop2.property
else:
sql = sql + " " + propLast.propertyType + ":" + propLast.property
else:
sql = sql + " " + query[i]
sqls.append(sql)
return list(property_selection.removeDuplicates(sqls))
def formatResourceAndPropertyData(propertyList, resourceList):
for i in range(0, len(resourceList)):
resource = resourceList[i]
resource = resource.replace(",", "\,")
resource = resource.replace(".", "\.")
resource = resource.replace("+", "\+")
resource = resource.replace("(", "\(")
resource = resource.replace(")", "\)")
resourceList[i] = resource
for i in range(0, len(propertyList)):
for j in range(0, len(propertyList[i])):
propertyList[i][j].property = propertyList[i][j].property.replace("/", "\/")
def sortSqlsByPropertySimilarity(sqls, propertyList):
arr = []
for propertyListSingle in propertyList:
for prop in propertyListSingle:
for sqlsRow in sqls:
for sql in sqlsRow:
if(prop.property in sql):
if(sql not in arr):
arr.append(sql)
return arr
def getQueryResult(propertyList, resourceList, queryIDs):
sparql = SPARQLWrapper("http://dbpedia.org/sparql")
answerArray = []
queries = mysql_operations.getAllSparqlQuery(queryIDs)
queries = sorted(queries, key=lambda x: (x[1], x[2]), reverse=True) # ASC [reverse false]; DESC [reverse true]
sqls = []
formatResourceAndPropertyData(propertyList, resourceList)
for query in queries:
noOfRes = query[1]
if noOfRes == 0:
sqls.append(makeZeroResSql(propertyList, query))
elif noOfRes == 1:
sqls.append(makeOneResSql(propertyList, resourceList, query))
elif noOfRes == 2:
sqls.append(makeTwoResSql(propertyList, resourceList, query))
sqls = sortSqlsByPropertySimilarity(sqls, propertyList)
with ThreadPoolExecutor(max_workers=200 + 10) as executor:
results = executor.map(getAnswerBySPQRQL, sqls)
for result in results:
print(result)
answerArray.append(result)
print('\n' + str(len(sqls)) + " SQL run!\n")
return list(filter(None, answerArray)) , sqls
def getAnswerBySPQRQL(sql):
print(constant.prefix + sql)
sparql.setQuery(constant.prefix + sql)
try:
sparql.setReturnFormat(JSON)
results = sparql.query().convert()
if 'ASK' in sql:
print(">\n")
return results['boolean']
else:
tempResultArray = []
for result in results["results"]["bindings"]:
tempResultArray.append(result["label"]["value"])
return tempResultArray
except:
pass | {"/main.py": ["/q_a_system/spacy_play/property_selection.py", "/q_a_system/web_scrape/propertyScrape.py"]} |
60,481 | Mohaymin/QASystem | refs/heads/master | /q_a_system/web_scrape/propertyScrape.py | import re
import urllib.request
from bs4 import BeautifulSoup
class Property:
def __init__(self, propertyType, property):
self.propertyType = propertyType
self.property = property
self.label = re.sub(r"(\w)([A-Z])", r"\1 \2", property)
self.similarity = 0.0
def getPageProperties(urls):
propertyArray = []
for url in urls:
baseUrl = 'http://dbpedia.org/page/'
page = urllib.request.urlopen(baseUrl + url)
subPropertyArray = []
soup = BeautifulSoup(page, 'html.parser')
rows = soup.find('table').find_all('td', class_="property")
for row in rows:
row = (row.find('a')).text.strip()
temp = row.split(':')
subPropertyArray.append(Property(temp[0], temp[1]))
propertyArray.append(subPropertyArray)
return propertyArray
| {"/main.py": ["/q_a_system/spacy_play/property_selection.py", "/q_a_system/web_scrape/propertyScrape.py"]} |
60,482 | Mohaymin/QASystem | refs/heads/master | /main.py | from q_a_system.api_sevice import api_dbpedia, mysql_operations
from q_a_system.method import byAutomation, byDataDictionary, lookup_things
from q_a_system.spacy_play import name_entity, resource_name, answer_type_extraction, answer_validation, \
question_type_extraction
from q_a_system.spacy_play.property_selection import getActualProperty, addAdditionalSet
from q_a_system.web_scrape.propertyScrape import getPageProperties
import pandas as pd
import datetime
# questions = input.getUserQuestion()
# questions=['How many movies did Park Chan-wook direct?','How many headquarters are in Dhaka?']
input_file_directory = "Code Behaviours - QLD6_SingleResource.csv"
output_file_directory = "output log.csv"
input_file = pd.read_csv(input_file_directory, encoding='cp1252')
questions = input_file["Question"].tolist()
log_named_entity_list = []
log_resource_list = []
log_keyword_list = []
log_property_list = []
log_sql_list = []
log_all_answer_list = []
log_answer_list = []
log_question_type_list = []
for question in questions:
print(question)
print("\nStep 1: Name Entity finding")
nameEntityList = name_entity.getNameEntity(question)
log_var_named_entity_list = ''
for nameEntity in nameEntityList:
print(nameEntity.text)
log_var_named_entity_list = log_var_named_entity_list + nameEntity.text + ', '
log_named_entity_list.append(log_var_named_entity_list)
print("Step 3: Keywords finding")
# finding keyword list by build in services
keywordListByAM = byAutomation.findKeywordByAutomation(question)
print(keywordListByAM)
# finding keyword list by DataDictionary approach
keywordListByDD = byDataDictionary.find_keyword_by_dataDictionary(question)
print(keywordListByDD)
keywordList = []
for i in keywordListByDD:
keywordList.append(i)
for i in keywordListByAM:
keywordList.append(i)
log_keyword_list.append(keywordList)
if len(nameEntityList) > 0:
print("Step 2: Resource Name finding")
# Making string
stringList = lookup_things.getResKeywordString(nameEntityList, keywordList)
# Google search
resourceList = resource_name.getResourceNameByGoogleSearch(stringList)
# resourceList = resource_name.getResourceName(nameEntityList)
print(resourceList)
log_var_resource_list = ''
for i in resourceList:
log_var_resource_list = log_var_resource_list + i + ', '
log_resource_list.append(log_var_resource_list)
if len(resourceList) > 0:
print("Step 4: Property finding")
propertyList = getPageProperties(resourceList)
propertyList = getActualProperty(keywordList, propertyList)
propertyList.append(addAdditionalSet(keywordListByDD))
hasProperty = False
temp = -1
log_var_property_list = ''
for propertyListSingle in propertyList:
temp = temp + 1
for prop in propertyListSingle:
hasProperty = True
print(prop.label)
log_var_property_list = log_var_property_list + '(' + str(temp) + prop.property + '-' + str(
prop.similarity) + '), '
log_property_list.append(log_var_property_list)
if hasProperty:
print("Step 5.0.1: Get Sparql Query IDs")
questionType = question_type_extraction.findQuestionType(question)
queryIDs = mysql_operations.findSparqlQueryID(questionType, question)
print("Step 5: All possible answer finding")
answerArray, sqls = api_dbpedia.getQueryResult(propertyList, resourceList, queryIDs)
print(answerArray)
print("Step 6: Answer type extraction")
questionType = answer_type_extraction.printAnswerType(question, keywordList)
print("Expected Answer Type : " + questionType)
print("Step 7: Answer type validation")
answer = answer_validation.answerValidation(answerArray, questionType)
print("Actual Answer: " + answer)
log_sql_list.append(sqls)
log_all_answer_list.append(answerArray)
log_answer_list.append(answer)
log_question_type_list.append(questionType)
else:
print("No property found! Can't go forward without property")
print('\n\n\n')
# writing the logs in csv file
output_file = pd.DataFrame(
{
'Questions': questions,
'Name Entity': log_named_entity_list,
'Resources': log_resource_list,
'Keyword': log_keyword_list,
'Property': log_property_list,
'Answer Array': log_all_answer_list,
'Answer Type': log_question_type_list,
'Answer': log_answer_list,
'SQL': log_sql_list
}
)
output_file.to_csv(output_file_directory)
| {"/main.py": ["/q_a_system/spacy_play/property_selection.py", "/q_a_system/web_scrape/propertyScrape.py"]} |
60,483 | Mohaymin/QASystem | refs/heads/master | /q_a_system/method/byAutomation.py | from q_a_system.spacy_play import keyword_extraction
def findKeywordByAutomation(question):
keywordList = keyword_extraction.getAllKeywords(question)
# removeNounChunks(question, keywordList)
return keywordList
| {"/main.py": ["/q_a_system/spacy_play/property_selection.py", "/q_a_system/web_scrape/propertyScrape.py"]} |
60,484 | dhiraj92/AlexaIndeed | refs/heads/master | /olivia.py | from flask import Flask
from flask_ask import Ask, statement, question, session
import json
import requests
import time
import unidecode
import indeedApi as indeed
import logging
logging.getLogger("flask_ask").setLevel(logging.DEBUG)
app = Flask(__name__)
ask = Ask(app, "/")
@app.route('/')
def homepage():
return "hi there, how ya doin?"
@ask.launch
def start_skill():
welcome_message = 'Hello!! Welcome to Smart Jobs app. I perform job searches based on your skills, and also the good old keyword search. What can I do for you?'
return question(welcome_message).reprompt("I didnt get you. Give me a skill or keyword.")
#==============================================================================================================
@ask.intent("YesIntent")
def share_headlines():
result = "GoodBye"
return statement(result)
#==============================================================================================================
@ask.intent("NoIntent")
def no_intent():
bye_text = 'Cool. All the best for your job search!... byebye'
return statement(bye_text)
@ask.intent("QueryIntent", mapping={'s1': 'Query'})
def skill_intent(s1):
session.attributes['skills'] = [s1]
session.attributes['operation']="key"
return question("Great keyword search then! Which city should the jobs be in?").reprompt("I didn't get you. Which city should the jobs be in?")
@ask.intent("SkillIntent", mapping={'s1': 'skill', 's2':'skillx','s3':'skilly'})
def skill_intent(s1,s2,s3):
skillList = []
for skill in s1,s2,s3:
if skill is not None:
skillList.append(skill)
session.attributes['skills'] = skillList
session.attributes['operation'] = 'and'
return question("Great! Which city should the jobs be in?").reprompt("I didn't get you. Which city should the jobs be in?")
#==============================================================================================================
@ask.intent("CityIntent", mapping={'city':'City'})
def getCity(city):
session.attributes['city'] = city
ques = "Looking for Jobs in "+city
return question(ques + ". I can filter results to Full time or Intern positions. What would you prefer?").reprompt("Didn't get you. Would you like Intern positions or Full time?")
#==============================================================================================================
@ask.intent("CategoryIntent",mapping={'jobtype':'Jobtype'})
def getCategory(jobtype):
#session.attributes['jobtype']=jobtype
ind = indeed.indeed()
session.attributes['jobtype'] = jobtype
if session.attributes['operation'] == "and":
res = ind.skill(session.attributes['skills'],session.attributes['city'],jobtype)
elif session.attributes['operation'] == "or":
res = ind.skillOR(session.attributes['skills'],session.attributes['city'],jobtype)
else:
res = ind.skill(session.attributes['skills'],session.attributes['city'],jobtype)
if (len(res) == 0):
return statement("Oops! Looks like our query was too strong for the internet. I will have to restart, sorry about that!")
session.attributes['jobList'] = res[:5]
statmentList = [(x['jobtitle'],x['company'],x['url']) for x in res]
urlList = ""
count =1
result = jobtype + " Jobs for"
result = result + " and ".join(session.attributes['skills']) + " in " + session.attributes['city'] + " are "
for job in statmentList:
if count < 6:
result = result + " Job " + str(count)+ ": " +job[0].replace("&","and") + ", at " + job[1].replace("&","and") + ", "
urlList = urlList + str(count)+ " " + job[0] + ", " + job[1] + " \n URL: " + job[2] + " \n "
count+=1
return question(result + " I've sent this data in a card to your Alexa app. Do you want smiliar jobs to any of these jobs? Give me the job number.") \
.standard_card(title= jobtype + 'Jobs for ' + " , ".join(session.attributes['skills']),
text=urlList)
#==============================================================================================================
@ask.intent("SkillIntentOR", mapping={'s1': 'skill', 's2':'skillx','s3':'skilly'})
def skill_intentOR(s1,s2,s3):
skillList = []
for skill in s1,s2,s3:
if skill is not None:
skillList.append(skill)
session.attributes['skills'] = skillList
session.attributes['operation'] = 'or'
return question("Great! Which city should the jobs be in?").reprompt("I didn't get you. Which city should the jobs be in?")
@ask.intent("findSimilar", mapping={'code':'code'})
def findSimilar(code):
ind = indeed.indeed()
code = int(code)
jobCode = session.attributes['jobList'][code-1]['jobkey']
simJobs = ind.similarJobs(jobCode)
statmentList = [(x['jobtitle'],x['company'],x['url']) for x in simJobs]
urlList = ""
count =1
result = "Jobs similar to "
result = result + (session.attributes['jobList'][code-1]['jobtitle'])+ " are "
for job in statmentList:
if count < 6:
result = result + " Job " + str(count)+ ", " +job[0].replace("&","and") + ", at " + job[1].replace("&","and") + ", "
urlList = urlList + str(count)+ " " + job[0] + ", " + job[1] + " \n URL: " + job[2] + " \n "
count+=1
return statement(result + " I've sent this data in a card to your Alexa app. All the best for your job search!") \
.standard_card(title= session.attributes['jobtype'] + 'Jobs similar to Job ' + session.attributes['jobList'][code-1]['jobtitle'],text=urlList)
#==============================================================================================================
@ask.intent("AMAZON.StopIntent")
def stop():
return statement("Oh! Bye Bye!")
if __name__ == '__main__':
app.run(debug=True) | {"/olivia.py": ["/indeedApi.py"]} |
60,485 | dhiraj92/AlexaIndeed | refs/heads/master | /indeedApi.py | from indeed import IndeedClient
import pandas as pd
import textSim
class indeed:
#jobDataFrame
def __init__(self):
# self.jobDataFrame= pd.DataFrame();
self.client = IndeedClient(8836246992678581);
def skill(self,l,city,jobtype):
#print l
#print " AND ".join(l)
print (jobtype)
if jobtype in ['intern','internship','Internship']:
jobtype = 'internship'
else:
jobtype = 'fulltime'
params = {
'q' : " AND ".join(l),
'l' : city,
'jt' : jobtype,
'userip' : "1.2.3.4",
'useragent' : "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_8_2)",
'limit' : "25",
'start' : 0,
'highlight' : 1
}
i = 25
search_response = self.client.search(**params)
results = []
if (len(search_response['results']) <= 0):
return results
while(i<100 and i<search_response['totalResults']):
results += search_response['results']
params['start'] += 25
search_response = self.client.search(**params)
results += search_response['results']
i+=25
print (params['start'])
self.jobDataFrame = pd.DataFrame(results).drop_duplicates('jobkey')
self.jobDataFrame.to_csv("sample.csv",encoding='UTF-8')
return results
def skillOR(self,l,city,jobtype):
#print l
#print " AND ".join(l)
print (jobtype)
if jobtype in ['intern','internship','Internship']:
jobtype = 'internship'
else:
jobtype = 'fulltime'
params = {
'q' : " OR ".join(l),
'l' : city,
'jt' : jobtype,
'userip' : "1.2.3.4",
'useragent' : "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_8_2)",
'limit' : "50"
}
i = 25
search_response = self.client.search(**params)
results = []
if (len(search_response['results']) <= 0):
return results
while(i<100 and i<search_response['totalResults']):
results += search_response['results']
params['start'] += 25
search_response = self.client.search(**params)
results += search_response['results']
i+=25
print (params['start'])
self.jobDataFrame = pd.DataFrame(results).drop_duplicates('jobkey')
self.jobDataFrame.to_csv("sample.csv",encoding='UTF-8')
return results
def similarJobs(self,job):
print ("the job is" + job)
sampledfo = pd.read_csv("sample.csv",encoding='UTF-8')
sampledf = sampledfo.copy()
del sampledf['stations']
del sampledf['Unnamed: 0']
del sampledf['source']
del sampledf['onmousedown']
del sampledf['formattedLocation']
del sampledf['formattedLocationFull']
del sampledf['url']
del sampledf['date']
del sampledf['formattedRelativeTime']
sampledf['indeedApply'] = [0 if x == 'false' else 1 for x in sampledf['indeedApply']]
sampledf['expired'] = [0 if x == 'false' else 1 for x in sampledf['expired']]
sampledf['sponsored'] = [0 if x == 'false' else 1 for x in sampledf['sponsored']]
jobNo = job
self.dataJob = sampledf.loc[sampledf['jobkey'] == jobNo]
df= sampledf[sampledf["jobkey"] != jobNo]
# df[''] = ['red' if x == 'Z' else 'green' for x in df['Set']]
df.ix[df.city == self.dataJob.city.iloc[0], ['city','country','state']] = 1
df.ix[df.city != 1, ['city','country','state']] = 0
df.ix[df.company == self.dataJob.company.iloc[0], ['company']] = 1
df.ix[df.company != 1, ['company']] = 0
# df[''] = df.apply(my_test2, axis=1)
df['snippet'] = [textSim.cosine_sim(x,self.dataJob.snippet.iloc[0]) for x in df['snippet']]
df['jobtitle'] = [textSim.cosine_sim(x,self.dataJob.jobtitle.iloc[0]) for x in df['jobtitle']]
df['variance'] = df['city'] + df['company'] + df['country'] + df['expired'] + df['indeedApply']+ 10*df['snippet']+5*df['jobtitle']
result = df.sort(['variance'], ascending=False)
#import pdb; pdb.set_trace()
simList = result['jobkey'][:10].tolist()
simDict = []
for x in simList:
s = sampledfo.loc[sampledfo['jobkey'] == x]
simDict.append(s.to_dict(orient = 'records')[0])
return simDict
| {"/olivia.py": ["/indeedApi.py"]} |
60,500 | usmanov647/smartHome_webapp | refs/heads/master | /server/usman/urls.py | from django.urls import path
from . import views
app_name = 'usman'
urlpatterns = [
path('', views.index, name='index'),
path('<str:zone_name>', views.control, name='control')
] | {"/server/usman/views.py": ["/server/usman/models.py"]} |
60,501 | usmanov647/smartHome_webapp | refs/heads/master | /server/usman/migrations/0004_auto_20200808_1949.py | # Generated by Django 2.2.14 on 2020-08-09 02:49
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('usman', '0003_auto_20200808_1810'),
]
operations = [
migrations.RenameField(
model_name='zone',
old_name='zone_light_color',
new_name='light_color',
),
]
| {"/server/usman/views.py": ["/server/usman/models.py"]} |
60,502 | usmanov647/smartHome_webapp | refs/heads/master | /server/usman/apps.py | from django.apps import AppConfig
class UsmanConfig(AppConfig):
name = 'usman'
| {"/server/usman/views.py": ["/server/usman/models.py"]} |
60,503 | usmanov647/smartHome_webapp | refs/heads/master | /server/usman/models.py | from django.db import models
# Create your models here.
class Zone(models.Model):
zone_name = models.CharField(max_length=5)
description = models.CharField(max_length=11, default="N/A")
floor = models.IntegerField(default=1)
temperature_set = models.IntegerField(default=20)
temperature_actual = models.DecimalField(decimal_places=1, max_digits=2, default=0.0)
light_color = models.CharField(max_length=6, default='00FF00')
def __str__(self):
return self.zone_name | {"/server/usman/views.py": ["/server/usman/models.py"]} |
60,504 | usmanov647/smartHome_webapp | refs/heads/master | /server/usman/migrations/0002_auto_20200802_1647.py | # Generated by Django 2.2.14 on 2020-08-02 23:47
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('usman', '0001_initial'),
]
operations = [
migrations.AddField(
model_name='zone',
name='description',
field=models.CharField(default='N/A', max_length=11),
),
migrations.AddField(
model_name='zone',
name='floor',
field=models.IntegerField(default=1),
),
]
| {"/server/usman/views.py": ["/server/usman/models.py"]} |
60,505 | usmanov647/smartHome_webapp | refs/heads/master | /server/usman/views.py | from django.http import HttpResponse
from django.template import loader
from .models import Zone
# Create your views here.
def index(request):
context = {
'first_floor_zones': Zone.objects.filter(floor=1),
'second_floor_zones': Zone.objects.filter(floor=2)
}
template = loader.get_template('usman/index.html')
return HttpResponse(template.render(context, request))
def control(request, zone_name):
zone_selected = Zone.objects.get(zone_name=zone_name)
if request.method == 'POST':
print(request.POST)
if 'temp_set' in request.POST:
temp_set = int(request.POST['temp_set'])
if 15 <= temp_set <= 30:
zone_selected.temperature_set = temp_set
zone_selected.save()
if 'color_set' in request.POST:
zone_selected.light_color = request.POST['color_set']
zone_selected.save()
context = {
'zone_selected': zone_selected
}
template = loader.get_template('usman/control.html')
return HttpResponse(template.render(context, request)) | {"/server/usman/views.py": ["/server/usman/models.py"]} |
60,506 | usmanov647/smartHome_webapp | refs/heads/master | /server/usman/migrations/0003_auto_20200808_1810.py | # Generated by Django 2.2.14 on 2020-08-09 01:10
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('usman', '0002_auto_20200802_1647'),
]
operations = [
migrations.RenameField(
model_name='zone',
old_name='zone_temperature',
new_name='temperature_set',
),
migrations.AddField(
model_name='zone',
name='temperature_actual',
field=models.DecimalField(decimal_places=1, default=0.0, max_digits=2),
),
]
| {"/server/usman/views.py": ["/server/usman/models.py"]} |
60,513 | USEPA/opp-efed | refs/heads/master | /efed_lib.py | import os
import re
import pandas as pd
import numpy as np
from collections import Iterable
from tempfile import mkstemp
import time
class MemoryMatrix(object):
""" A wrapper for NumPy 'memmap' functionality which allows the storage and recall of arrays from disk """
def __init__(self, dimensions, dtype=np.float32, path=None, existing=False, name='null', verbose=False,
index_col=0, persistent_read=False, persistent_write=False, max_calls=500):
# TODO - right now, no capability to 'fetch' on any dimension other than the first
self.dtype = dtype
self.path = path
self.existing = existing
self.name = name
self.index_col = index_col
self.max_calls = max_calls
self.shape = []
self.labels = []
self.index = None
self.aliased = False
self.index_cols = None
for i, d in enumerate(dimensions):
if isinstance(d, Iterable):
if i == index_col:
self.aliased = True
self.index = dimensions[0]
self.index_cols = pd.DataFrame({'alias': self.index, 'i': np.arange(len(self.index))}).set_index(
'alias')
self.shape.append(len(d))
else:
self.shape.append(d)
self.shape = tuple(self.shape)
self.initialize_array(verbose)
self.n_calls = 0
self.persistent_read = persistent_read
self.persistent_write = persistent_write
self._reader = None
self._writer = None
self.refresh()
def alias_to_index(self, aliases, remove_missing=False, return_missing=False, verbose=True):
singular = not isinstance(aliases, Iterable)
if singular:
aliases = [aliases]
result = self.index_cols.reindex(aliases).reset_index()
if any((remove_missing, return_missing)):
found = ~pd.isnull(result.i)
missing = result[~found].alias
if verbose and not missing.empty:
report(f"Missing {missing.shape[0]} values from {self.name} array")
if remove_missing:
result = result[found]
if verbose and result.empty:
report(f"No records found matching {aliases} in {self.name} array")
if singular:
result = result.astype(np.int32).iloc[0]
if return_missing:
return result, missing
else:
return result
def read(self, index, pop=False, copy=False):
# Read from the array
reader = self.reader
output = reader[index]
if pop or copy:
output = np.array(output)
if pop: # Set the selected rows to zero after extracting array
reader[index] = 0.
self.count_call()
return output
def count_call(self):
self.n_calls += 1
if self.n_calls >= self.max_calls:
self.refresh()
def get_index(self, index, iloc):
# Convert aliased item(s) to indices if applicable
if self.aliased and not iloc:
alias_lookup, missing = self.alias_to_index(index, True, True, verbose=True)
index = alias_lookup.i
else:
alias_lookup = None
return index, alias_lookup
def fetch(self, index, copy=False, verbose=False, iloc=False, pop=False, return_alias=False):
index, alias_lookup = self.get_index(index, iloc)
output = self.read(index, pop, copy)
if alias_lookup is not None and return_alias:
return output, alias_lookup
else:
return output
def initialize_array(self, verbose=False):
# Load from saved file if one is specified, else generate
if self.path is None:
self.existing = False
self.path = mkstemp(suffix=".dat", dir=os.path.join("..", "bin", "temp"))[1]
else:
# Add suffix to path if one wasn't provided
if not self.path.endswith("dat"):
self.path += ".dat"
if os.path.exists(self.path):
self.existing = True
if not self.existing:
if verbose:
report("Creating memory map {}...".format(self.path))
try:
os.makedirs(os.path.dirname(self.path))
except FileExistsError:
pass
np.memmap(self.path, dtype=self.dtype, mode='w+', shape=tuple(self.shape)) # Allocate memory
def write(self, index, values):
array = self.writer
array[index] = values
self.count_call()
def update(self, index, values, iloc=False, verbose=True):
if self.aliased and not iloc:
location, missing = self.alias_to_index(index, return_missing=True)
if not missing.empty:
if verbose:
report(f"Unable to update array '{self.name}': {index} not found in array index")
return
index = location.i
self.write(index, values)
def refresh(self):
if self.persistent_read:
del self._reader
self._reader = np.memmap(self.path, dtype=self.dtype, mode='r+', shape=self.shape)
if self.persistent_write:
del self._writer
mode = 'r+' if os.path.isfile(self.path) else 'w+'
self._writer = np.memmap(self.path, dtype=self.dtype, mode=mode, shape=self.shape)
self.n_calls = 0
@property
def reader(self):
if self._reader is not None:
return self._reader
else:
return np.memmap(self.path, dtype=self.dtype, mode='r+', shape=self.shape)
@property
def writer(self):
if self._writer is not None:
return self._writer
else:
mode = 'r+' if os.path.isfile(self.path) else 'w+'
return np.memmap(self.path, dtype=self.dtype, mode=mode, shape=self.shape)
class DateManager(object):
def __init__(self, start_date, end_date):
self.start_date = start_date
self.end_date = end_date
def adjust_dates(self, start_offset=0, end_offset=0):
try:
self.start_date += start_offset
self.end_date += end_offset
except TypeError:
self.start_date += np.timedelta64(int(start_offset), 'D')
self.end_date += np.timedelta64(int(end_offset), 'D')
def date_offset(self, start_date, end_date, coerce=True, n_dates=None):
"""
Find the overlap between the class' date range and the provided date range
:param start_date: The beginning of the provided date range (datetime)
:param end_date: The end of the provided date range (datetime)
:param coerce: Adjust the class range to the overlap between ranges (bool)
:return:
"""
# A positive number indicates that the provided dates are inside the range, negative indicates outside
start_offset = start_date - self.start_date
end_offset = self.end_date - end_date
if coerce:
self.adjust_dates(start_offset, end_offset)
if n_dates is not None and end_offset.astype('int') == 0:
end_offset = np.timedelta64(-n_dates, 'D')
return start_offset.astype('int'), end_offset.astype('int')
@property
def dates(self):
return pd.date_range(self.start_date, self.end_date)
@property
def dates_julian(self):
return (self.dates - self.dates[0]).days.astype(int)
@property
def mid_month(self):
return self.months[:-1] + (self.months[1:] - self.months[:-1]) / 2
@property
def mid_month_julian(self):
return np.int32((self.mid_month - self.dates[0]).days)
@property
def months(self):
return pd.date_range(self.dates.min(), self.dates.max() + np.timedelta64(1, 'M'), freq='MS')
@property
def months_julian(self):
return pd.date_range(self.dates.min(), self.dates.max() + np.timedelta64(1, 'M'), freq='MS').month
@property
def new_year(self):
return np.int32([(np.datetime64("{}-01-01".format(year)) - self.start_date).astype(int)
for year in np.unique(self.dates.year)])
@property
def n_dates(self):
return self.dates.size
@property
def month_index(self):
return self.dates.month
@property
def year_index(self):
return np.int16(self.dates.year - self.dates.year[0])
@property
def year_length(self):
return np.unique(self.dates, return_counts=True)[1]
class FieldManager(object):
"""
The Field Manager loads the table fields_and_qc.csv
and uses that table to manage fields. Field management functions include: field name
conversions from raw input data sources to internal field names, extending fields
that are expansible (such as those linked to soil horizon or month), and performing
QAQC by comparing the values in a table with the specified QC ranges in fields_and_qc.py
This class is inherited by other classes which wrap pandas DataFrames.
"""
def __init__(self, path, name_col='internal_name'):
""" Initialize a FieldManager object. """
self.path = path
self.name_col = name_col
self.matrix = None
self.extended = []
self.refresh()
self._convert = None
self.qc_fields = ['range_min', 'range_max', 'range_flag',
'general_min', 'general_max', 'general_flag',
'blank_flag', 'fill_value']
def data_type(self, fetch=None, cols=None):
"""
Give dtypes for fields in table
:param fetch: Fetch a subset of keys, e.g. 'monthly' (str)
:param how: 'internal' or 'external'
:param cols: Only return certain columns (iter of str)
:return: Dictionary with keys as field names and dtypes as values
"""
if fetch:
matrix = self.fetch(fetch, self.name_col, False)
else:
matrix = self.matrix
data_types = matrix.set_index(self.name_col).data_type.to_dict()
if cols is not None:
data_types = {key: val for key, val in data_types.items() if key in cols}
return {key: eval(val) for key, val in data_types.items()}
def expand(self, select_field, numbers):
"""
Certain fields are repeated during processing - for example, the streamflow (q) field becomes monthly
flow (q_1, q_2...q_12), and soil parameters linked to soil horizon will have multiple values for a single
scenario (e.g., sand_1, sand_2, sand_3). This function adds these extended fields to the FieldManager.
:param mode: 'depth', 'horizon', or 'monthly'
:param n_horizons: Optional parameter when specifying a number to expand to (int)
"""
if type(numbers) == int:
numbers = np.arange(numbers) + 1
# Check to make sure it's only been extended once
if not select_field in self.extended:
condition = select_field + '_extended'
# Find each row that applies, duplicate, and append to the matrix
self.matrix[condition] = 0
burn = self.matrix[condition].copy()
new_rows = []
for idx, row in self.matrix[self.matrix[select_field] == 1].iterrows():
burn.iloc[idx] = 1
for i in numbers:
new_row = row.copy()
new_row[self.name_col] = row[self.name_col] + "_" + str(i)
new_row[condition] = 1
new_rows.append(new_row)
new_rows = pd.concat(new_rows, axis=1).T
# Filter out the old rows and add new ones
self.matrix = pd.concat([self.matrix[~(burn == 1)], new_rows], axis=0)
# Record that the duplication has occurred
self.extended.append(select_field)
def fetch(self, source, dtypes=False, field_filter=None, index_field='internal_name'):
"""
Subset the FieldManager matrix (fields_and_qc.csv) based on the values in a given column
If the numbers are ordered, the returned list of fields will be in the same order. The names_only parameter
can be turned off to return all other fields (e.g., QAQC fields) from fields_and_qc.csv for the same subset.
:param source: The column in fields_and_qc.csv used to make the selection (str)
:param dtypes: Return the data types for each column (bool)
:param field_filter: Only return column names if they appear in the filter (iter)
:return: Subset of the field matrix (df)
"""
try:
out_fields = self.matrix[self.matrix[source] > 0]
if out_fields[source].max() > 0:
out_fields = out_fields.sort_values(source)[index_field].values
if field_filter is not None:
out_fields = [f for f in out_fields if f in field_filter]
data_type = self.data_type(cols=out_fields)
except KeyError as e:
raise e
report("Unrecognized sub-table '{}'".format(source))
out_fields, data_type = None, None
if dtypes:
return out_fields, data_type
else:
return out_fields
@property
def convert(self, from_col='external_name', to_col='internal_name'):
""" Dictionary that can be used to convert 'external' variable names to 'internal' names """
if self._convert is None:
self._convert = {row[from_col]: row[to_col] for _, row in self.matrix.iterrows()}
return self._convert
def qc_table(self):
""" Initializes an empty QAQC table with the QAQC fields from fields_and_qc_csv. """
return self.matrix.set_index(self.name_col)[self.qc_fields] \
.apply(pd.to_numeric, downcast='integer') \
.dropna(subset=self.qc_fields, how='all')
def perform_qc(self, other):
"""
Check the value of all parameters in table against the prescribed QAQC ranges in fields_and_qc.csv.
There are 3 checks performed: (1) missing data, (2) out-of-range data, and (3) 'general' ranges.
The result of the check is a copy of the data table with the data replaced with flags. The flag values are
set in fields_and_qc.csv - generally, a 1 is a warning and a 2 is considered invalid. The outfile parameter
gives the option of writing the resulting table to a csv file if a path is provided.
:param other: The table upon which to perform the QAQC check (df)
:param outfile: Path to output QAQC file (str)
:return: QAQC table (df)
"""
# Confine QC table to fields in other table
active_fields = {field for field in self.qc_table().index.values if field in other.columns.tolist()}
qc_table = self.qc_table().loc[active_fields]
# Flag missing data
# Note - if this fails, check for fields with no flag or fill attributes
# This can also raise an error if there are duplicate field names in fields_and_qc with qc parametersz
flags = pd.isnull(other).astype(np.int8)
duplicates = qc_table.index[qc_table.index.duplicated()]
if not duplicates.empty:
raise ValueError(f"Multiple QC ranges specified for {', '.join(duplicates.values)} in fields table")
flags = flags.mask(flags > 0, qc_table.blank_flag, axis=1)
# Flag out-of-range data
for test in ('general', 'range'):
ranges = qc_table[[test + "_min", test + "_max", test + "_flag"]].dropna()
for param, (param_min, param_max, flag) in ranges.iterrows():
if flag > 0:
out_of_range = ~other[param].between(param_min, param_max) * flag
flags[param] = np.maximum(flags[param], out_of_range).astype(np.int8)
qc_table = pd.DataFrame(np.zeros(other.shape, dtype=np.int8), columns=other.columns)
qc_table[flags.columns] = flags
return qc_table
def fill(self):
""" Return the fill values for flagged data set in fields_and_qc.csv """
return self.matrix.set_index(self.name_col).fill_value.dropna()
def refresh(self):
""" Reload fields_and_qc.csv, undoes 'extend' and other modifications """
# Read the fields/QC matrix
if self.path is not None:
self.matrix = pd.read_csv(self.path)
self.extended = []
def report(message, tabs=0):
""" Display a message with a specified indentation """
tabs = "\t" * tabs
print(tabs + str(message))
| {"/read.py": ["/efed_lib.py"]} |
60,514 | USEPA/opp-efed | refs/heads/master | /read.py | import numpy as np
import pandas as pd
from dbfread import DBF, FieldParser
from efed_lib import report
def dbf(dbf_file):
""" Read the contents of a dbf file into a Pandas dataframe """
class MyFieldParser(FieldParser):
def parse(self, field, data):
try:
return FieldParser.parse(self, field, data)
except ValueError as e:
report(e)
# raise e
return None
try:
reader = DBF(dbf_file)
table = pd.DataFrame(iter(reader))
except ValueError:
reader = DBF(dbf_file, parserclass=MyFieldParser)
table = pd.DataFrame(iter(reader))
table.rename(columns={column: column.lower() for column in table.columns}, inplace=True)
return table
def gdb(gdb_file, select_table='all', input_fields=None):
""" Reads the contents of a gdb table into a Pandas dataframe"""
import ogr
# Initialize file
driver = ogr.GetDriverByName("OpenFileGDB")
gdb_obj = driver.Open(gdb_file)
# parsing layers by index
tables = {gdb_obj.GetLayerByIndex(i).GetName(): i for i in range(gdb_obj.GetLayerCount())}
table_names = sorted(tables.keys()) if select_table == 'all' else [select_table]
for table_name in table_names:
table = gdb_obj.GetLayer(tables[table_name])
table_def = table.GetLayerDefn()
table_fields = [table_def.GetFieldDefn(i).GetName() for i in range(table_def.GetFieldCount())]
if input_fields is None:
input_fields = table_fields
else:
missing_fields = set(input_fields) - set(table_fields)
if any(missing_fields):
report("Fields {} not found in table {}".format(", ".join(missing_fields), table_name))
input_fields = [field for field in input_fields if field not in missing_fields]
data = np.array([[row.GetField(f) for f in input_fields] for row in table])
df = pd.DataFrame(data=data, columns=input_fields)
if select_table != 'all':
return df
else:
yield table_name, df
| {"/read.py": ["/efed_lib.py"]} |
60,515 | Ysy1052505300/LSTM-PyTorch | refs/heads/master | /train.py | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import argparse
import time
import numpy as np
import torch
from torch.utils.data import DataLoader
import torch.nn as nn
from operator import itemgetter
from dataset import PalindromeDataset
from lstm import LSTM
def train(config):
# Initialize the model that we are going to use
model = LSTM(config.input_length, config.input_dim, config.num_hidden, config.num_classes, config.batch_size) # fixme
# Initialize the dataset and data loader (leave the +1)
dataset = PalindromeDataset(config.input_length+1)
data_loader = DataLoader(dataset, config.batch_size, num_workers=1)
# Setup the loss and optimizer
criterion = nn.CrossEntropyLoss() # fixme
optimizer = torch.optim.RMSprop(model.parameters(), lr=config.learning_rate) # fixme
for step, (batch_inputs, batch_targets) in enumerate(data_loader):
# Add more code here ...
hit = 0;
n, dim = batch_inputs.size()
batch_inputs_T = torch.transpose(batch_inputs, 0, 1)
y_hat_oh = model.forward(batch_inputs_T)
for i in range(n):
y_pre, _ = max(enumerate(y_hat_oh[i]), key=itemgetter(1))
y = batch_targets[i].item()
if y_pre == y:
hit += 1
# the following line is to deal with exploding gradients
torch.nn.utils.clip_grad_norm(model.parameters(), max_norm=config.max_norm)
# Add more code here ...
loss = criterion(y_hat_oh, batch_targets) # fixme
accuracy = hit / n * 100 # fixme
optimizer.zero_grad()
loss.backward()
optimizer.step()
if step % 10 == 0:
print("loss: ", loss.item())
print("accuracy: ", accuracy)
if step == config.train_steps:
# If you receive a PyTorch data-loader error, check this bug report:
# https://github.com/pytorch/pytorch/pull/9655
break
print('Done training.')
if __name__ == "__main__":
# Parse training configuration
parser = argparse.ArgumentParser()
# Model params
parser.add_argument('--input_length', type=int, default=10, help='Length of an input sequence')
parser.add_argument('--input_dim', type=int, default=1, help='Dimensionality of input sequence')
parser.add_argument('--num_classes', type=int, default=10, help='Dimensionality of output sequence')
parser.add_argument('--num_hidden', type=int, default=128, help='Number of hidden units in the model')
parser.add_argument('--batch_size', type=int, default=128, help='Number of examples to process in a batch')
parser.add_argument('--learning_rate', type=float, default=0.001, help='Learning rate')
parser.add_argument('--train_steps', type=int, default=10000, help='Number of training steps')
parser.add_argument('--max_norm', type=float, default=10.0)
config = parser.parse_args()
# Train the model
train(config) | {"/train.py": ["/lstm.py"]} |
60,516 | Ysy1052505300/LSTM-PyTorch | refs/heads/master | /lstm.py | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import torch
import torch.nn as nn
################################################################################
class LSTM(nn.Module):
def __init__(self, seq_length, input_dim, hidden_dim, output_dim, batch_size):
super(LSTM, self).__init__()
# Initialization here ...
self.seq_length = seq_length
self.batch_size = batch_size
self.hidden_dim = hidden_dim
self.input_dim = input_dim
self.linear_fx = nn.Linear(input_dim, hidden_dim)
self.linear_fh = nn.Linear(hidden_dim, hidden_dim)
self.forget = nn.Sigmoid()
self.linear_ix = nn.Linear(input_dim, hidden_dim)
self.linear_ih = nn.Linear(hidden_dim, hidden_dim)
self.input = nn.Sigmoid()
self.linear_gx = nn.Linear(input_dim, hidden_dim)
self.linear_gh = nn.Linear(hidden_dim, hidden_dim)
self.tanh_g = nn.Tanh()
self.linear_ox = nn.Linear(input_dim, hidden_dim)
self.linear_oh = nn.Linear(hidden_dim, hidden_dim)
self.output = nn.Sigmoid()
self.tanh_h = nn.Tanh()
self.linear_ph = nn.Linear(hidden_dim, output_dim)
self.softmax = nn.Softmax()
def forward(self, x):
# Implementation here ...
pre_h = torch.zeros((self.batch_size, self.hidden_dim))
pre_c = torch.zeros((self.batch_size, self.hidden_dim))
y = None
for count in range(self.seq_length):
xt = torch.reshape(x[count], (self.batch_size, 1))
ft_x = self.linear_fx(xt)
ft_h = self.linear_fh(pre_h)
ft_pre = ft_x + ft_h
ft = self.forget(ft_pre)
it_x = self.linear_ix(xt)
it_h = self.linear_ih(pre_h)
it_pre = it_x + it_h
it = self.input(it_pre)
gt_x = self.linear_gx(xt)
gt_h = self.linear_gh(pre_h)
gt_pre = gt_x + gt_h
gt = self.tanh_g(gt_pre)
ct = gt.mul(it) + pre_c.mul(ft)
ot_x = self.linear_ox(xt)
ot_h = self.linear_oh(pre_h)
ot_pre = ot_x + ot_h
ot = self.output(ot_pre)
ht_pre = self.tanh_h(ct)
ht = ht_pre.mul(ot)
pre_c = ct
pre_h = ht
if count == self.seq_length - 1:
pt = self.linear_ph(ht)
y = self.softmax(pt)
return y
# add more methods here if needed | {"/train.py": ["/lstm.py"]} |
60,535 | rithik/ENGR1624 | refs/heads/master | /detection.py | from __future__ import division
import imutils
import argparse
import time
import datetime
import cv2
import accelerometer
from pyaudio import PyAudio
from detector import Detector
from SoundDriver import SoundDriver
ap = argparse.ArgumentParser()
ap.add_argument("-p", "--picamera", default=False,action="store_true",
help="whether or not the Raspberry Pi camera should be used")
ap.add_argument("-d", "--display", default=False,action="store_true",
help="whether or not to display the image")
ap.add_argument("-a", "--analytics", default=False,action="store_true",
help="whether or not analytics will be tracked")
ap.add_argument("-b", "--debug", default=False,action="store_true",
help="whether or not debugger is active")
ap.add_argument("-s", "--sound", default=False,action="store_true",
help="whether or not sound is active")
ap.add_argument("-c", "--accelerometer", default=False,action="store_true",
help="whether or not accelerometer code is running")
args = vars(ap.parse_args())
if args["sound"]:
SoundDriver = SoundDriver()
detector = Detector()
frameRate = 0
initial_time = datetime.datetime.now()
start_time = time.time()
MOVING = True
VideoStream = None
if args['picamera']:
from PiCameraVideoStream import PiCameraVideoStream
VideoStream = PiCameraVideoStream()
else:
isRaspberryPi = 0
from WebCamVideoStream import WebCamVideoStream
VideoStream = WebCamVideoStream()
while True:
curr_time = time.time()
threshold = 5 if MOVING else 3
frame_time = (datetime.datetime.now() - initial_time).total_seconds()
if args["analytics"]:
print(1/frame_time)
initial_time = datetime.datetime.now()
if args["accelerometer"]:
if((curr_time - start_time) // threshold > 1):
accel_data = accelerometer.run()
if accel_data > 13:
MOVING = True
else:
MOVING = False
frame = VideoStream.getFrame()
frameRate+=1
frame = imutils.resize(frame, width=450)
if MOVING or not args["accelerometer"]:
distracted= detector.isDistracted(frame,args["display"])
if distracted:
if args["sound"]:
SoundDriver.play_sound()
if args["display"]:
detector.display_warnings(frame)
if (args["display"] and MOVING):
detector.display_moving(frame)
if (args["display"]):
detector.show(frame)
VideoStream.reset()
key = cv2.waitKey(1) & 0xFF
if key == ord("q"):
break
SoundDriver.stream.stop_stream()
VideoStream.close()
cv2.destroyAllWindows()
| {"/detection.py": ["/detector.py", "/SoundDriver.py", "/PiCameraVideoStream.py", "/WebCamVideoStream.py"]} |
60,536 | rithik/ENGR1624 | refs/heads/master | /SoundDriver.py | from pyaudio import PyAudio
import math
import datetime as dt
class SoundDriver():
def __init__(self,eyesNotVisibleTime=2000,frame_check_time=2000):
self.p = PyAudio()
self.stream = self.p.open(format=self.p.get_format_from_width(1), # 8bit
channels=2, # mono
rate=22050,
output=True)
frequency = 440
duration = 0.2
volume = 0.5
n_samples = int(22050 * duration)
restframes = n_samples % 22050
s = lambda t: volume * math.sin(2 * math.pi * frequency * t / 22050)
samples = (int(s(t) * 0x7f + 0x80) for t in range(n_samples))
self.sound = bytes(bytearray(samples))
def play_sound(self,frequency=440, duration=.2, volume=.5):
st = dt.datetime.now()
self.stream.start_stream()
self.stream.write(self.sound)
self.stream.stop_stream()
print((dt.datetime.now() - st).total_seconds())
'''
def play_sound(self):
s = lambda t: .5 * math.sin(2 * math.pi * 440 * t /22050)
samples = (int(s(t) * 0x7f + 0x80) for t in range(4000))
self.stream.write(bytes(bytearray(samples)))
'''
| {"/detection.py": ["/detector.py", "/SoundDriver.py", "/PiCameraVideoStream.py", "/WebCamVideoStream.py"]} |
60,537 | rithik/ENGR1624 | refs/heads/master | /PiCameraVideoStream.py | from picamera import PiCamera
from picamera.array import PiRGBArray
import time
class PiCameraVideoStream:
def __init__(self):
self.camera = PiCamera()
self.camera.vflip = True
self.camera.framerate=32
self.camera.resolution=(640,400)
self.rawCapture = PiRGBArray(self.camera,size=(640,400))
time.sleep(0.1)
def getFrame(self):
for frame in self.camera.capture_continuous(self.rawCapture, format="bgr", use_video_port=True):
return frame.array
return None
def reset(self):
self.rawCapture.truncate()
self.rawCapture.seek(0)
return
def close(self):
return
| {"/detection.py": ["/detector.py", "/SoundDriver.py", "/PiCameraVideoStream.py", "/WebCamVideoStream.py"]} |
60,538 | rithik/ENGR1624 | refs/heads/master | /detector.py | import dlib
import cv2
from scipy.spatial import distance
from imutils import face_utils
import time
import datetime
import math
#from SoundDriver import SoundDriver
#SoundDriver = SoundDriver()
FRAMES = 10
t1 = datetime.datetime.now()
delaytime = 3
class Detector():
def __init__(self, eyesNotVisibleTime=t1, frame_check_time=t1):
self.eyesNotVisible = 0
self.flag = 0
self.tEyesNotVisible = eyesNotVisibleTime
self.tFrame_check_time = frame_check_time
(self.lStart,self.lEnd) = face_utils.FACIAL_LANDMARKS_68_IDXS["left_eye"]
(self.rStart,self.rEnd) = face_utils.FACIAL_LANDMARKS_68_IDXS["right_eye"]
self.thresh = 0.25
self.frame_check = 20
self.detect = dlib.get_frontal_face_detector()
self.predict = dlib.shape_predictor("shape_predictor_68_face_landmarks.dat")
def eye_aspect_ratio(self, eye):
A = distance.euclidean(eye[1], eye[5])
B = distance.euclidean(eye[2], eye[4])
C = distance.euclidean(eye[0], eye[3])
ear = (A + B) / (2.0 * C)
return ear
def isDistracted(self, frame, drawing):
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
subjects = self.detect(gray, 0)
if len(subjects) == 0:
self.eyesNotVisible=datetime.datetime.now()
if (self.eyesNotVisible-self.tEyesNotVisible).seconds >= delaytime: # Distracted checker
return True
else:
self.tEyesNotVisible=datetime.datetime.now()
print(len(subjects))
for subject in subjects:
shape=self.predict(gray,subject)
shape=face_utils.shape_to_np(shape)#converting to NumPy Array
leftEye=shape[self.lStart:self.lEnd]
rightEye=shape[self.rStart:self.rEnd]
leftEAR=self.eye_aspect_ratio(leftEye)
rightEAR=self.eye_aspect_ratio(rightEye)
ear=(leftEAR+rightEAR)/2.0
leftEyeHull=cv2.convexHull(leftEye)
rightEyeHull=cv2.convexHull(rightEye)
if drawing:
cv2.drawContours(frame,[leftEyeHull],-1,(0,255,0),1)
cv2.drawContours(frame,[rightEyeHull],-1,(0,255,0),1)
if ear < self.thresh: # Drowsiness Detector
self.flag+=1
if self.flag>=self.frame_check:
return True
else:
self.flag=0
return False
def display_warnings(self, frame):
cv2.putText(frame, "****************DISTRACTED!****************", (10, 30),
cv2.FONT_HERSHEY_SIMPLEX, 0.7, (0, 0, 255), 2)
cv2.putText(frame, "****************DISTRACTED!****************", (10,325),
cv2.FONT_HERSHEY_SIMPLEX, 0.7, (0, 0, 255), 2)
def display_moving(self, frame):
cv2.putText(frame, "Moving", (10, 80),
cv2.FONT_HERSHEY_SIMPLEX, 0.7, (0, 0, 255), 2)
def show(self, frame):
cv2.imshow("Frame", frame)
| {"/detection.py": ["/detector.py", "/SoundDriver.py", "/PiCameraVideoStream.py", "/WebCamVideoStream.py"]} |
60,539 | rithik/ENGR1624 | refs/heads/master | /run.py | import subprocess
import time
import argparse
proc = None
moving = True
def arg_conv(str):
if str.lower() in ('yes', 'true', 't', 'y', '1'):
return True
elif str.lower() in ('no', 'false', 'f', 'n', '0'):
return False
else:
raise argparse.ArgumentTypeError('Please enter a boolean value like true or false!')
ap = argparse.ArgumentParser()
ap.add_argument("-p", "--picamera", type=arg_conv, default=False,
help="whether or not the Raspberry Pi camera should be used")
args = vars(ap.parse_args())
isRaspberryPi = 1 if args['picamera'] else 0
while moving:
if moving and proc is None:
proc = subprocess.Popen(['python3', 'detection.py', '-p', str(isRaspberryPi)])
time.sleep(20) # remove this line -- used for debugging
moving = False
elif not moving and not proc is None:
proc.terminate()
proc = None
moving = False
| {"/detection.py": ["/detector.py", "/SoundDriver.py", "/PiCameraVideoStream.py", "/WebCamVideoStream.py"]} |
60,540 | rithik/ENGR1624 | refs/heads/master | /WebCamVideoStream.py | import cv2
class WebCamVideoStream:
def __init__(self):
self.cap = cv2.VideoCapture(0)
def getFrame(self):
ret,frame = self.cap.read()
return frame
def reset(self):
return
def close(self):
self.cap.release()
return
| {"/detection.py": ["/detector.py", "/SoundDriver.py", "/PiCameraVideoStream.py", "/WebCamVideoStream.py"]} |
60,541 | rithik/ENGR1624 | refs/heads/master | /cameraFeed.py | from picamera.array import PiRGBArray
from picamera import PiCamera
import time
import cv2
camera = PiCamera()
camera.framerate=32
camera.resolution=(640,480)
rawCapture = PiRGBArray(camera,size=(640,480))
time.sleep(0.1)
""" Single Shot CAMERA
camera.capture(rawCapture, format = "bgr")
image = rawCapture.array
cv2.imshow("Image",image)
cv2.waitKey(0)
"""
for frame in camera.capture_continuous(rawCapture,format="bgr",use_video_port=True):
image = frame.array
cv2.imshow("Frame", image)
key=cv2.waitKey(1) & 0xFF
rawCapture.truncate(0)
if key==ord("q"):
break
| {"/detection.py": ["/detector.py", "/SoundDriver.py", "/PiCameraVideoStream.py", "/WebCamVideoStream.py"]} |
60,542 | drrros/frtest | refs/heads/master | /polls/serializers.py | from rest_framework import serializers
from rest_framework.exceptions import APIException, ValidationError
from rest_framework.response import Response
from .models import Question, QuestionChoice, Answer, Poll
class PollSerializer(serializers.ModelSerializer):
class Meta:
model = Poll
fields = [
'id',
'title',
'description',
'date_start',
'date_end',
'questions'
]
depth = 1
class QuestionSerializer(serializers.ModelSerializer):
class Meta:
model = Question
fields = [
'id',
'text',
'type',
'polls',
]
def save(self, **kwargs):
if self.instance and self.instance.polls.exists():
for poll in self.instance.polls.all():
if poll.locked:
raise ValidationError(detail={
'error': 'Как минимум один из опросов заблокирован для изменений'
}
)
return super().save(**kwargs)
class AnswerSerializer(serializers.ModelSerializer):
class Meta:
model = Answer
fields = [
'question',
'userid',
'value',
]
def create(self, validated_data):
answer, created = Answer.objects.update_or_create(
question=validated_data.get('question'),
userid=validated_data.get('userid'),
defaults={'value': validated_data.get('value', '')})
return answer
class QuestionChoiceSerializer(serializers.ModelSerializer):
class Meta:
model = QuestionChoice
fields = [
'id',
'text',
'question',
]
def save(self, **kwargs):
if self.validated_data.get('polls', None):
for poll in self.validated_data.get('polls'):
if poll.locked:
raise ValidationError(detail={
'error': 'Как минимум один из опросов заблокирован для изменений'
}
)
return super().save(**kwargs)
| {"/polls/serializers.py": ["/polls/models.py"], "/polls/views/admin.py": ["/polls/models.py", "/polls/serializers.py"], "/polls/urls.py": ["/polls/views/admin.py", "/polls/views/client.py"], "/polls/tests.py": ["/polls/models.py", "/polls/serializers.py"], "/polls/admin.py": ["/polls/models.py"], "/polls/views/client.py": ["/polls/models.py", "/polls/serializers.py"]} |
60,543 | drrros/frtest | refs/heads/master | /polls/views/admin.py | from rest_framework import generics
from rest_framework.permissions import IsAdminUser
from polls.models import Poll, Question, QuestionChoice
from polls.serializers import PollSerializer, QuestionSerializer, QuestionChoiceSerializer
class PollCreateAPIView(generics.CreateAPIView):
permission_classes = [IsAdminUser]
serializer_class = PollSerializer
class PollChangeAPIView(generics.RetrieveUpdateDestroyAPIView):
permission_classes = [IsAdminUser]
serializer_class = PollSerializer
queryset = Poll.objects.all()
class QuestionCreateAPIView(generics.CreateAPIView):
permission_classes = [IsAdminUser]
serializer_class = QuestionSerializer
class QuestionChangeAPIView(generics.RetrieveUpdateDestroyAPIView):
permission_classes = [IsAdminUser]
serializer_class = QuestionSerializer
queryset = Question.objects.all()
class PollListAdminAPIView(generics.ListAPIView):
permission_classes = [IsAdminUser]
serializer_class = PollSerializer
queryset = Poll.objects.all()
class QuestionChoiceCreateAPIView(generics.CreateAPIView):
permission_classes = [IsAdminUser]
serializer_class = QuestionChoiceSerializer
class QuestionChoiceChangeAPIView(generics.RetrieveUpdateDestroyAPIView):
permission_classes = [IsAdminUser]
serializer_class = QuestionChoiceSerializer
queryset = QuestionChoice.objects.all()
| {"/polls/serializers.py": ["/polls/models.py"], "/polls/views/admin.py": ["/polls/models.py", "/polls/serializers.py"], "/polls/urls.py": ["/polls/views/admin.py", "/polls/views/client.py"], "/polls/tests.py": ["/polls/models.py", "/polls/serializers.py"], "/polls/admin.py": ["/polls/models.py"], "/polls/views/client.py": ["/polls/models.py", "/polls/serializers.py"]} |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.