partition stringclasses 3
values | func_name stringlengths 1 134 | docstring stringlengths 1 46.9k | path stringlengths 4 223 | original_string stringlengths 75 104k | code stringlengths 75 104k | docstring_tokens listlengths 1 1.97k | repo stringlengths 7 55 | language stringclasses 1
value | url stringlengths 87 315 | code_tokens listlengths 19 28.4k | sha stringlengths 40 40 |
|---|---|---|---|---|---|---|---|---|---|---|---|
train | QA_SU_save_stock_day | save stock_day
保存日线数据
:param client:
:param ui_log: 给GUI qt 界面使用
:param ui_progress: 给GUI qt 界面使用
:param ui_progress_int_value: 给GUI qt 界面使用 | QUANTAXIS/QASU/save_tdx.py | def QA_SU_save_stock_day(client=DATABASE, ui_log=None, ui_progress=None):
'''
save stock_day
保存日线数据
:param client:
:param ui_log: 给GUI qt 界面使用
:param ui_progress: 给GUI qt 界面使用
:param ui_progress_int_value: 给GUI qt 界面使用
'''
stock_list = QA_fetch_get_stock_list().code.unique().tolist... | def QA_SU_save_stock_day(client=DATABASE, ui_log=None, ui_progress=None):
'''
save stock_day
保存日线数据
:param client:
:param ui_log: 给GUI qt 界面使用
:param ui_progress: 给GUI qt 界面使用
:param ui_progress_int_value: 给GUI qt 界面使用
'''
stock_list = QA_fetch_get_stock_list().code.unique().tolist... | [
"save",
"stock_day",
"保存日线数据",
":",
"param",
"client",
":",
":",
"param",
"ui_log",
":",
"给GUI",
"qt",
"界面使用",
":",
"param",
"ui_progress",
":",
"给GUI",
"qt",
"界面使用",
":",
"param",
"ui_progress_int_value",
":",
"给GUI",
"qt",
"界面使用"
] | QUANTAXIS/QUANTAXIS | python | https://github.com/QUANTAXIS/QUANTAXIS/blob/bb1fe424e4108b62a1f712b81a05cf829297a5c0/QUANTAXIS/QASU/save_tdx.py#L82-L184 | [
"def",
"QA_SU_save_stock_day",
"(",
"client",
"=",
"DATABASE",
",",
"ui_log",
"=",
"None",
",",
"ui_progress",
"=",
"None",
")",
":",
"stock_list",
"=",
"QA_fetch_get_stock_list",
"(",
")",
".",
"code",
".",
"unique",
"(",
")",
".",
"tolist",
"(",
")",
"... | bb1fe424e4108b62a1f712b81a05cf829297a5c0 |
train | QA_SU_save_stock_week | save stock_week
Keyword Arguments:
client {[type]} -- [description] (default: {DATABASE}) | QUANTAXIS/QASU/save_tdx.py | def QA_SU_save_stock_week(client=DATABASE, ui_log=None, ui_progress=None):
"""save stock_week
Keyword Arguments:
client {[type]} -- [description] (default: {DATABASE})
"""
stock_list = QA_fetch_get_stock_list().code.unique().tolist()
coll_stock_week = client.stock_week
coll_stock_week.... | def QA_SU_save_stock_week(client=DATABASE, ui_log=None, ui_progress=None):
"""save stock_week
Keyword Arguments:
client {[type]} -- [description] (default: {DATABASE})
"""
stock_list = QA_fetch_get_stock_list().code.unique().tolist()
coll_stock_week = client.stock_week
coll_stock_week.... | [
"save",
"stock_week"
] | QUANTAXIS/QUANTAXIS | python | https://github.com/QUANTAXIS/QUANTAXIS/blob/bb1fe424e4108b62a1f712b81a05cf829297a5c0/QUANTAXIS/QASU/save_tdx.py#L196-L292 | [
"def",
"QA_SU_save_stock_week",
"(",
"client",
"=",
"DATABASE",
",",
"ui_log",
"=",
"None",
",",
"ui_progress",
"=",
"None",
")",
":",
"stock_list",
"=",
"QA_fetch_get_stock_list",
"(",
")",
".",
"code",
".",
"unique",
"(",
")",
".",
"tolist",
"(",
")",
... | bb1fe424e4108b62a1f712b81a05cf829297a5c0 |
train | QA_SU_save_stock_xdxr | [summary]
Keyword Arguments:
client {[type]} -- [description] (default: {DATABASE}) | QUANTAXIS/QASU/save_tdx.py | def QA_SU_save_stock_xdxr(client=DATABASE, ui_log=None, ui_progress=None):
"""[summary]
Keyword Arguments:
client {[type]} -- [description] (default: {DATABASE})
"""
stock_list = QA_fetch_get_stock_list().code.unique().tolist()
# client.drop_collection('stock_xdxr')
try:
coll =... | def QA_SU_save_stock_xdxr(client=DATABASE, ui_log=None, ui_progress=None):
"""[summary]
Keyword Arguments:
client {[type]} -- [description] (default: {DATABASE})
"""
stock_list = QA_fetch_get_stock_list().code.unique().tolist()
# client.drop_collection('stock_xdxr')
try:
coll =... | [
"[",
"summary",
"]"
] | QUANTAXIS/QUANTAXIS | python | https://github.com/QUANTAXIS/QUANTAXIS/blob/bb1fe424e4108b62a1f712b81a05cf829297a5c0/QUANTAXIS/QASU/save_tdx.py#L494-L555 | [
"def",
"QA_SU_save_stock_xdxr",
"(",
"client",
"=",
"DATABASE",
",",
"ui_log",
"=",
"None",
",",
"ui_progress",
"=",
"None",
")",
":",
"stock_list",
"=",
"QA_fetch_get_stock_list",
"(",
")",
".",
"code",
".",
"unique",
"(",
")",
".",
"tolist",
"(",
")",
... | bb1fe424e4108b62a1f712b81a05cf829297a5c0 |
train | QA_SU_save_stock_min | save stock_min
Keyword Arguments:
client {[type]} -- [description] (default: {DATABASE}) | QUANTAXIS/QASU/save_tdx.py | def QA_SU_save_stock_min(client=DATABASE, ui_log=None, ui_progress=None):
"""save stock_min
Keyword Arguments:
client {[type]} -- [description] (default: {DATABASE})
"""
stock_list = QA_fetch_get_stock_list().code.unique().tolist()
coll = client.stock_min
coll.create_index(
[
... | def QA_SU_save_stock_min(client=DATABASE, ui_log=None, ui_progress=None):
"""save stock_min
Keyword Arguments:
client {[type]} -- [description] (default: {DATABASE})
"""
stock_list = QA_fetch_get_stock_list().code.unique().tolist()
coll = client.stock_min
coll.create_index(
[
... | [
"save",
"stock_min"
] | QUANTAXIS/QUANTAXIS | python | https://github.com/QUANTAXIS/QUANTAXIS/blob/bb1fe424e4108b62a1f712b81a05cf829297a5c0/QUANTAXIS/QASU/save_tdx.py#L558-L679 | [
"def",
"QA_SU_save_stock_min",
"(",
"client",
"=",
"DATABASE",
",",
"ui_log",
"=",
"None",
",",
"ui_progress",
"=",
"None",
")",
":",
"stock_list",
"=",
"QA_fetch_get_stock_list",
"(",
")",
".",
"code",
".",
"unique",
"(",
")",
".",
"tolist",
"(",
")",
"... | bb1fe424e4108b62a1f712b81a05cf829297a5c0 |
train | QA_SU_save_index_day | save index_day
Keyword Arguments:
client {[type]} -- [description] (default: {DATABASE}) | QUANTAXIS/QASU/save_tdx.py | def QA_SU_save_index_day(client=DATABASE, ui_log=None, ui_progress=None):
"""save index_day
Keyword Arguments:
client {[type]} -- [description] (default: {DATABASE})
"""
__index_list = QA_fetch_get_stock_list('index')
coll = client.index_day
coll.create_index(
[('code',
... | def QA_SU_save_index_day(client=DATABASE, ui_log=None, ui_progress=None):
"""save index_day
Keyword Arguments:
client {[type]} -- [description] (default: {DATABASE})
"""
__index_list = QA_fetch_get_stock_list('index')
coll = client.index_day
coll.create_index(
[('code',
... | [
"save",
"index_day"
] | QUANTAXIS/QUANTAXIS | python | https://github.com/QUANTAXIS/QUANTAXIS/blob/bb1fe424e4108b62a1f712b81a05cf829297a5c0/QUANTAXIS/QASU/save_tdx.py#L682-L790 | [
"def",
"QA_SU_save_index_day",
"(",
"client",
"=",
"DATABASE",
",",
"ui_log",
"=",
"None",
",",
"ui_progress",
"=",
"None",
")",
":",
"__index_list",
"=",
"QA_fetch_get_stock_list",
"(",
"'index'",
")",
"coll",
"=",
"client",
".",
"index_day",
"coll",
".",
"... | bb1fe424e4108b62a1f712b81a05cf829297a5c0 |
train | QA_SU_save_index_min | save index_min
Keyword Arguments:
client {[type]} -- [description] (default: {DATABASE}) | QUANTAXIS/QASU/save_tdx.py | def QA_SU_save_index_min(client=DATABASE, ui_log=None, ui_progress=None):
"""save index_min
Keyword Arguments:
client {[type]} -- [description] (default: {DATABASE})
"""
__index_list = QA_fetch_get_stock_list('index')
coll = client.index_min
coll.create_index(
[
('c... | def QA_SU_save_index_min(client=DATABASE, ui_log=None, ui_progress=None):
"""save index_min
Keyword Arguments:
client {[type]} -- [description] (default: {DATABASE})
"""
__index_list = QA_fetch_get_stock_list('index')
coll = client.index_min
coll.create_index(
[
('c... | [
"save",
"index_min"
] | QUANTAXIS/QUANTAXIS | python | https://github.com/QUANTAXIS/QUANTAXIS/blob/bb1fe424e4108b62a1f712b81a05cf829297a5c0/QUANTAXIS/QASU/save_tdx.py#L793-L916 | [
"def",
"QA_SU_save_index_min",
"(",
"client",
"=",
"DATABASE",
",",
"ui_log",
"=",
"None",
",",
"ui_progress",
"=",
"None",
")",
":",
"__index_list",
"=",
"QA_fetch_get_stock_list",
"(",
"'index'",
")",
"coll",
"=",
"client",
".",
"index_min",
"coll",
".",
"... | bb1fe424e4108b62a1f712b81a05cf829297a5c0 |
train | QA_SU_save_stock_list | save stock_list
Keyword Arguments:
client {[type]} -- [description] (default: {DATABASE}) | QUANTAXIS/QASU/save_tdx.py | def QA_SU_save_stock_list(client=DATABASE, ui_log=None, ui_progress=None):
"""save stock_list
Keyword Arguments:
client {[type]} -- [description] (default: {DATABASE})
"""
client.drop_collection('stock_list')
coll = client.stock_list
coll.create_index('code')
try:
# 🛠todo ... | def QA_SU_save_stock_list(client=DATABASE, ui_log=None, ui_progress=None):
"""save stock_list
Keyword Arguments:
client {[type]} -- [description] (default: {DATABASE})
"""
client.drop_collection('stock_list')
coll = client.stock_list
coll.create_index('code')
try:
# 🛠todo ... | [
"save",
"stock_list"
] | QUANTAXIS/QUANTAXIS | python | https://github.com/QUANTAXIS/QUANTAXIS/blob/bb1fe424e4108b62a1f712b81a05cf829297a5c0/QUANTAXIS/QASU/save_tdx.py#L1140-L1171 | [
"def",
"QA_SU_save_stock_list",
"(",
"client",
"=",
"DATABASE",
",",
"ui_log",
"=",
"None",
",",
"ui_progress",
"=",
"None",
")",
":",
"client",
".",
"drop_collection",
"(",
"'stock_list'",
")",
"coll",
"=",
"client",
".",
"stock_list",
"coll",
".",
"create_... | bb1fe424e4108b62a1f712b81a05cf829297a5c0 |
train | QA_SU_save_etf_list | save etf_list
Keyword Arguments:
client {[type]} -- [description] (default: {DATABASE}) | QUANTAXIS/QASU/save_tdx.py | def QA_SU_save_etf_list(client=DATABASE, ui_log=None, ui_progress=None):
"""save etf_list
Keyword Arguments:
client {[type]} -- [description] (default: {DATABASE})
"""
try:
QA_util_log_info(
'##JOB16 Now Saving ETF_LIST ====',
ui_log=ui_log,
ui_progre... | def QA_SU_save_etf_list(client=DATABASE, ui_log=None, ui_progress=None):
"""save etf_list
Keyword Arguments:
client {[type]} -- [description] (default: {DATABASE})
"""
try:
QA_util_log_info(
'##JOB16 Now Saving ETF_LIST ====',
ui_log=ui_log,
ui_progre... | [
"save",
"etf_list"
] | QUANTAXIS/QUANTAXIS | python | https://github.com/QUANTAXIS/QUANTAXIS/blob/bb1fe424e4108b62a1f712b81a05cf829297a5c0/QUANTAXIS/QASU/save_tdx.py#L1174-L1205 | [
"def",
"QA_SU_save_etf_list",
"(",
"client",
"=",
"DATABASE",
",",
"ui_log",
"=",
"None",
",",
"ui_progress",
"=",
"None",
")",
":",
"try",
":",
"QA_util_log_info",
"(",
"'##JOB16 Now Saving ETF_LIST ===='",
",",
"ui_log",
"=",
"ui_log",
",",
"ui_progress",
"=",... | bb1fe424e4108b62a1f712b81a05cf829297a5c0 |
train | QA_SU_save_stock_block | save stock_block
Keyword Arguments:
client {[type]} -- [description] (default: {DATABASE}) | QUANTAXIS/QASU/save_tdx.py | def QA_SU_save_stock_block(client=DATABASE, ui_log=None, ui_progress=None):
"""save stock_block
Keyword Arguments:
client {[type]} -- [description] (default: {DATABASE})
"""
client.drop_collection('stock_block')
coll = client.stock_block
coll.create_index('code')
try:
QA_u... | def QA_SU_save_stock_block(client=DATABASE, ui_log=None, ui_progress=None):
"""save stock_block
Keyword Arguments:
client {[type]} -- [description] (default: {DATABASE})
"""
client.drop_collection('stock_block')
coll = client.stock_block
coll.create_index('code')
try:
QA_u... | [
"save",
"stock_block"
] | QUANTAXIS/QUANTAXIS | python | https://github.com/QUANTAXIS/QUANTAXIS/blob/bb1fe424e4108b62a1f712b81a05cf829297a5c0/QUANTAXIS/QASU/save_tdx.py#L1208-L1257 | [
"def",
"QA_SU_save_stock_block",
"(",
"client",
"=",
"DATABASE",
",",
"ui_log",
"=",
"None",
",",
"ui_progress",
"=",
"None",
")",
":",
"client",
".",
"drop_collection",
"(",
"'stock_block'",
")",
"coll",
"=",
"client",
".",
"stock_block",
"coll",
".",
"crea... | bb1fe424e4108b62a1f712b81a05cf829297a5c0 |
train | QA_SU_save_stock_info | save stock_info
Keyword Arguments:
client {[type]} -- [description] (default: {DATABASE}) | QUANTAXIS/QASU/save_tdx.py | def QA_SU_save_stock_info(client=DATABASE, ui_log=None, ui_progress=None):
"""save stock_info
Keyword Arguments:
client {[type]} -- [description] (default: {DATABASE})
"""
client.drop_collection('stock_info')
stock_list = QA_fetch_get_stock_list().code.unique().tolist()
coll = client.s... | def QA_SU_save_stock_info(client=DATABASE, ui_log=None, ui_progress=None):
"""save stock_info
Keyword Arguments:
client {[type]} -- [description] (default: {DATABASE})
"""
client.drop_collection('stock_info')
stock_list = QA_fetch_get_stock_list().code.unique().tolist()
coll = client.s... | [
"save",
"stock_info"
] | QUANTAXIS/QUANTAXIS | python | https://github.com/QUANTAXIS/QUANTAXIS/blob/bb1fe424e4108b62a1f712b81a05cf829297a5c0/QUANTAXIS/QASU/save_tdx.py#L1260-L1306 | [
"def",
"QA_SU_save_stock_info",
"(",
"client",
"=",
"DATABASE",
",",
"ui_log",
"=",
"None",
",",
"ui_progress",
"=",
"None",
")",
":",
"client",
".",
"drop_collection",
"(",
"'stock_info'",
")",
"stock_list",
"=",
"QA_fetch_get_stock_list",
"(",
")",
".",
"cod... | bb1fe424e4108b62a1f712b81a05cf829297a5c0 |
train | QA_SU_save_stock_transaction | save stock_transaction
Keyword Arguments:
client {[type]} -- [description] (default: {DATABASE}) | QUANTAXIS/QASU/save_tdx.py | def QA_SU_save_stock_transaction(
client=DATABASE,
ui_log=None,
ui_progress=None
):
"""save stock_transaction
Keyword Arguments:
client {[type]} -- [description] (default: {DATABASE})
"""
stock_list = QA_fetch_get_stock_list().code.unique().tolist()
coll = client.st... | def QA_SU_save_stock_transaction(
client=DATABASE,
ui_log=None,
ui_progress=None
):
"""save stock_transaction
Keyword Arguments:
client {[type]} -- [description] (default: {DATABASE})
"""
stock_list = QA_fetch_get_stock_list().code.unique().tolist()
coll = client.st... | [
"save",
"stock_transaction"
] | QUANTAXIS/QUANTAXIS | python | https://github.com/QUANTAXIS/QUANTAXIS/blob/bb1fe424e4108b62a1f712b81a05cf829297a5c0/QUANTAXIS/QASU/save_tdx.py#L1309-L1368 | [
"def",
"QA_SU_save_stock_transaction",
"(",
"client",
"=",
"DATABASE",
",",
"ui_log",
"=",
"None",
",",
"ui_progress",
"=",
"None",
")",
":",
"stock_list",
"=",
"QA_fetch_get_stock_list",
"(",
")",
".",
"code",
".",
"unique",
"(",
")",
".",
"tolist",
"(",
... | bb1fe424e4108b62a1f712b81a05cf829297a5c0 |
train | QA_SU_save_option_commodity_day | :param client:
:return: | QUANTAXIS/QASU/save_tdx.py | def QA_SU_save_option_commodity_day(
client=DATABASE,
ui_log=None,
ui_progress=None
):
'''
:param client:
:return:
'''
_save_option_commodity_cu_day(
client=client,
ui_log=ui_log,
ui_progress=ui_progress
)
_save_option_commodity_m_day(
... | def QA_SU_save_option_commodity_day(
client=DATABASE,
ui_log=None,
ui_progress=None
):
'''
:param client:
:return:
'''
_save_option_commodity_cu_day(
client=client,
ui_log=ui_log,
ui_progress=ui_progress
)
_save_option_commodity_m_day(
... | [
":",
"param",
"client",
":",
":",
"return",
":"
] | QUANTAXIS/QUANTAXIS | python | https://github.com/QUANTAXIS/QUANTAXIS/blob/bb1fe424e4108b62a1f712b81a05cf829297a5c0/QUANTAXIS/QASU/save_tdx.py#L2292-L2331 | [
"def",
"QA_SU_save_option_commodity_day",
"(",
"client",
"=",
"DATABASE",
",",
"ui_log",
"=",
"None",
",",
"ui_progress",
"=",
"None",
")",
":",
"_save_option_commodity_cu_day",
"(",
"client",
"=",
"client",
",",
"ui_log",
"=",
"ui_log",
",",
"ui_progress",
"=",... | bb1fe424e4108b62a1f712b81a05cf829297a5c0 |
train | QA_SU_save_option_commodity_min | :param client:
:return: | QUANTAXIS/QASU/save_tdx.py | def QA_SU_save_option_commodity_min(
client=DATABASE,
ui_log=None,
ui_progress=None
):
'''
:param client:
:return:
'''
# 测试中发现， 一起回去，容易出现错误，每次获取一个品种后 ，更换服务ip继续获取 ？
_save_option_commodity_cu_min(
client=client,
ui_log=ui_log,
ui_progress=ui... | def QA_SU_save_option_commodity_min(
client=DATABASE,
ui_log=None,
ui_progress=None
):
'''
:param client:
:return:
'''
# 测试中发现， 一起回去，容易出现错误，每次获取一个品种后 ，更换服务ip继续获取 ？
_save_option_commodity_cu_min(
client=client,
ui_log=ui_log,
ui_progress=ui... | [
":",
"param",
"client",
":",
":",
"return",
":"
] | QUANTAXIS/QUANTAXIS | python | https://github.com/QUANTAXIS/QUANTAXIS/blob/bb1fe424e4108b62a1f712b81a05cf829297a5c0/QUANTAXIS/QASU/save_tdx.py#L3384-L3427 | [
"def",
"QA_SU_save_option_commodity_min",
"(",
"client",
"=",
"DATABASE",
",",
"ui_log",
"=",
"None",
",",
"ui_progress",
"=",
"None",
")",
":",
"# 测试中发现， 一起回去，容易出现错误，每次获取一个品种后 ，更换服务ip继续获取 ？",
"_save_option_commodity_cu_min",
"(",
"client",
"=",
"client",
",",
"ui_log",... | bb1fe424e4108b62a1f712b81a05cf829297a5c0 |
train | QA_SU_save_option_min | :param client:
:return: | QUANTAXIS/QASU/save_tdx.py | def QA_SU_save_option_min(client=DATABASE, ui_log=None, ui_progress=None):
'''
:param client:
:return:
'''
option_contract_list = QA_fetch_get_option_contract_time_to_market()
coll_option_min = client.option_day_min
coll_option_min.create_index(
[("code",
pymongo.ASCENDING)... | def QA_SU_save_option_min(client=DATABASE, ui_log=None, ui_progress=None):
'''
:param client:
:return:
'''
option_contract_list = QA_fetch_get_option_contract_time_to_market()
coll_option_min = client.option_day_min
coll_option_min.create_index(
[("code",
pymongo.ASCENDING)... | [
":",
"param",
"client",
":",
":",
"return",
":"
] | QUANTAXIS/QUANTAXIS | python | https://github.com/QUANTAXIS/QUANTAXIS/blob/bb1fe424e4108b62a1f712b81a05cf829297a5c0/QUANTAXIS/QASU/save_tdx.py#L3430-L3563 | [
"def",
"QA_SU_save_option_min",
"(",
"client",
"=",
"DATABASE",
",",
"ui_log",
"=",
"None",
",",
"ui_progress",
"=",
"None",
")",
":",
"option_contract_list",
"=",
"QA_fetch_get_option_contract_time_to_market",
"(",
")",
"coll_option_min",
"=",
"client",
".",
"optio... | bb1fe424e4108b62a1f712b81a05cf829297a5c0 |
train | QA_SU_save_option_day | :param client:
:return: | QUANTAXIS/QASU/save_tdx.py | def QA_SU_save_option_day(client=DATABASE, ui_log=None, ui_progress=None):
'''
:param client:
:return:
'''
option_contract_list = QA_fetch_get_option_50etf_contract_time_to_market()
coll_option_day = client.option_day
coll_option_day.create_index(
[("code",
pymongo.ASCENDIN... | def QA_SU_save_option_day(client=DATABASE, ui_log=None, ui_progress=None):
'''
:param client:
:return:
'''
option_contract_list = QA_fetch_get_option_50etf_contract_time_to_market()
coll_option_day = client.option_day
coll_option_day.create_index(
[("code",
pymongo.ASCENDIN... | [
":",
"param",
"client",
":",
":",
"return",
":"
] | QUANTAXIS/QUANTAXIS | python | https://github.com/QUANTAXIS/QUANTAXIS/blob/bb1fe424e4108b62a1f712b81a05cf829297a5c0/QUANTAXIS/QASU/save_tdx.py#L3566-L3710 | [
"def",
"QA_SU_save_option_day",
"(",
"client",
"=",
"DATABASE",
",",
"ui_log",
"=",
"None",
",",
"ui_progress",
"=",
"None",
")",
":",
"option_contract_list",
"=",
"QA_fetch_get_option_50etf_contract_time_to_market",
"(",
")",
"coll_option_day",
"=",
"client",
".",
... | bb1fe424e4108b62a1f712b81a05cf829297a5c0 |
train | QA_SU_save_future_day | save future_day
保存日线数据
:param client:
:param ui_log: 给GUI qt 界面使用
:param ui_progress: 给GUI qt 界面使用
:param ui_progress_int_value: 给GUI qt 界面使用
:return: | QUANTAXIS/QASU/save_tdx.py | def QA_SU_save_future_day(client=DATABASE, ui_log=None, ui_progress=None):
'''
save future_day
保存日线数据
:param client:
:param ui_log: 给GUI qt 界面使用
:param ui_progress: 给GUI qt 界面使用
:param ui_progress_int_value: 给GUI qt 界面使用
:return:
'''
future_list = [
item for item in QA_... | def QA_SU_save_future_day(client=DATABASE, ui_log=None, ui_progress=None):
'''
save future_day
保存日线数据
:param client:
:param ui_log: 给GUI qt 界面使用
:param ui_progress: 给GUI qt 界面使用
:param ui_progress_int_value: 给GUI qt 界面使用
:return:
'''
future_list = [
item for item in QA_... | [
"save",
"future_day",
"保存日线数据",
":",
"param",
"client",
":",
":",
"param",
"ui_log",
":",
"给GUI",
"qt",
"界面使用",
":",
"param",
"ui_progress",
":",
"给GUI",
"qt",
"界面使用",
":",
"param",
"ui_progress_int_value",
":",
"给GUI",
"qt",
"界面使用",
":",
"return",
":"
] | QUANTAXIS/QUANTAXIS | python | https://github.com/QUANTAXIS/QUANTAXIS/blob/bb1fe424e4108b62a1f712b81a05cf829297a5c0/QUANTAXIS/QASU/save_tdx.py#L3804-L3909 | [
"def",
"QA_SU_save_future_day",
"(",
"client",
"=",
"DATABASE",
",",
"ui_log",
"=",
"None",
",",
"ui_progress",
"=",
"None",
")",
":",
"future_list",
"=",
"[",
"item",
"for",
"item",
"in",
"QA_fetch_get_future_list",
"(",
")",
".",
"code",
".",
"unique",
"... | bb1fe424e4108b62a1f712b81a05cf829297a5c0 |
train | QA_SU_save_future_min | save future_min
Keyword Arguments:
client {[type]} -- [description] (default: {DATABASE}) | QUANTAXIS/QASU/save_tdx.py | def QA_SU_save_future_min(client=DATABASE, ui_log=None, ui_progress=None):
"""save future_min
Keyword Arguments:
client {[type]} -- [description] (default: {DATABASE})
"""
future_list = [
item for item in QA_fetch_get_future_list().code.unique().tolist()
if str(item)[-2:] in ['... | def QA_SU_save_future_min(client=DATABASE, ui_log=None, ui_progress=None):
"""save future_min
Keyword Arguments:
client {[type]} -- [description] (default: {DATABASE})
"""
future_list = [
item for item in QA_fetch_get_future_list().code.unique().tolist()
if str(item)[-2:] in ['... | [
"save",
"future_min"
] | QUANTAXIS/QUANTAXIS | python | https://github.com/QUANTAXIS/QUANTAXIS/blob/bb1fe424e4108b62a1f712b81a05cf829297a5c0/QUANTAXIS/QASU/save_tdx.py#L4016-L4146 | [
"def",
"QA_SU_save_future_min",
"(",
"client",
"=",
"DATABASE",
",",
"ui_log",
"=",
"None",
",",
"ui_progress",
"=",
"None",
")",
":",
"future_list",
"=",
"[",
"item",
"for",
"item",
"in",
"QA_fetch_get_future_list",
"(",
")",
".",
"code",
".",
"unique",
"... | bb1fe424e4108b62a1f712b81a05cf829297a5c0 |
train | CLI.do_shell | run a shell commad | QUANTAXIS/QACmd/__init__.py | def do_shell(self, arg):
"run a shell commad"
print(">", arg)
sub_cmd = subprocess.Popen(arg, shell=True, stdout=subprocess.PIPE)
print(sub_cmd.communicate()[0]) | def do_shell(self, arg):
"run a shell commad"
print(">", arg)
sub_cmd = subprocess.Popen(arg, shell=True, stdout=subprocess.PIPE)
print(sub_cmd.communicate()[0]) | [
"run",
"a",
"shell",
"commad"
] | QUANTAXIS/QUANTAXIS | python | https://github.com/QUANTAXIS/QUANTAXIS/blob/bb1fe424e4108b62a1f712b81a05cf829297a5c0/QUANTAXIS/QACmd/__init__.py#L84-L88 | [
"def",
"do_shell",
"(",
"self",
",",
"arg",
")",
":",
"print",
"(",
"\">\"",
",",
"arg",
")",
"sub_cmd",
"=",
"subprocess",
".",
"Popen",
"(",
"arg",
",",
"shell",
"=",
"True",
",",
"stdout",
"=",
"subprocess",
".",
"PIPE",
")",
"print",
"(",
"sub_... | bb1fe424e4108b62a1f712b81a05cf829297a5c0 |
train | QA_fetch_stock_min_adv | '获取股票分钟线'
:param code: 字符串str eg 600085
:param start: 字符串str 开始日期 eg 2011-01-01
:param end: 字符串str 结束日期 eg 2011-05-01
:param frequence: 字符串str 分钟线的类型 支持 1min 1m 5min 5m 15min 15m 30min 30m 60min 60m 类型
:param if_drop_index: Ture False ， dataframe drop index or not
:param collections: mongodb ... | QUANTAXIS/QAFetch/QAQuery_Advance.py | def QA_fetch_stock_min_adv(
code,
start, end=None,
frequence='1min',
if_drop_index=True,
# 🛠 todo collections 参数没有用到， 且数据库是固定的， 这个变量后期去掉
collections=DATABASE.stock_min):
'''
'获取股票分钟线'
:param code: 字符串str eg 600085
:param start: 字符串str 开始日期 eg 2011-01-01
... | def QA_fetch_stock_min_adv(
code,
start, end=None,
frequence='1min',
if_drop_index=True,
# 🛠 todo collections 参数没有用到， 且数据库是固定的， 这个变量后期去掉
collections=DATABASE.stock_min):
'''
'获取股票分钟线'
:param code: 字符串str eg 600085
:param start: 字符串str 开始日期 eg 2011-01-01
... | [
"获取股票分钟线",
":",
"param",
"code",
":",
"字符串str",
"eg",
"600085",
":",
"param",
"start",
":",
"字符串str",
"开始日期",
"eg",
"2011",
"-",
"01",
"-",
"01",
":",
"param",
"end",
":",
"字符串str",
"结束日期",
"eg",
"2011",
"-",
"05",
"-",
"01",
":",
"param",
"frequen... | QUANTAXIS/QUANTAXIS | python | https://github.com/QUANTAXIS/QUANTAXIS/blob/bb1fe424e4108b62a1f712b81a05cf829297a5c0/QUANTAXIS/QAFetch/QAQuery_Advance.py#L123-L182 | [
"def",
"QA_fetch_stock_min_adv",
"(",
"code",
",",
"start",
",",
"end",
"=",
"None",
",",
"frequence",
"=",
"'1min'",
",",
"if_drop_index",
"=",
"True",
",",
"# 🛠 todo collections 参数没有用到， 且数据库是固定的， 这个变量后期去掉",
"collections",
"=",
"DATABASE",
".",
"stock_min",
")",
... | bb1fe424e4108b62a1f712b81a05cf829297a5c0 |
train | QA_fetch_stock_day_full_adv | '返回全市场某一天的数据'
:param date:
:return: QA_DataStruct_Stock_day类 型数据 | QUANTAXIS/QAFetch/QAQuery_Advance.py | def QA_fetch_stock_day_full_adv(date):
'''
'返回全市场某一天的数据'
:param date:
:return: QA_DataStruct_Stock_day类 型数据
'''
# 🛠 todo 检查日期data参数
res = QA_fetch_stock_full(date, 'pd')
if res is None:
print("QA Error QA_fetch_stock_day_full_adv parameter date=%s call QA_fetch_stock_full return... | def QA_fetch_stock_day_full_adv(date):
'''
'返回全市场某一天的数据'
:param date:
:return: QA_DataStruct_Stock_day类 型数据
'''
# 🛠 todo 检查日期data参数
res = QA_fetch_stock_full(date, 'pd')
if res is None:
print("QA Error QA_fetch_stock_day_full_adv parameter date=%s call QA_fetch_stock_full return... | [
"返回全市场某一天的数据",
":",
"param",
"date",
":",
":",
"return",
":",
"QA_DataStruct_Stock_day类",
"型数据"
] | QUANTAXIS/QUANTAXIS | python | https://github.com/QUANTAXIS/QUANTAXIS/blob/bb1fe424e4108b62a1f712b81a05cf829297a5c0/QUANTAXIS/QAFetch/QAQuery_Advance.py#L185-L200 | [
"def",
"QA_fetch_stock_day_full_adv",
"(",
"date",
")",
":",
"# 🛠 todo 检查日期data参数",
"res",
"=",
"QA_fetch_stock_full",
"(",
"date",
",",
"'pd'",
")",
"if",
"res",
"is",
"None",
":",
"print",
"(",
"\"QA Error QA_fetch_stock_day_full_adv parameter date=%s call QA_fetch_sto... | bb1fe424e4108b62a1f712b81a05cf829297a5c0 |
train | QA_fetch_index_day_adv | :param code: code: 字符串str eg 600085
:param start: 字符串str 开始日期 eg 2011-01-01
:param end: 字符串str 结束日期 eg 2011-05-01
:param if_drop_index: Ture False ， dataframe drop index or not
:param collections: mongodb 数据库
:return: | QUANTAXIS/QAFetch/QAQuery_Advance.py | def QA_fetch_index_day_adv(
code,
start, end=None,
if_drop_index=True,
# 🛠 todo collections 参数没有用到， 且数据库是固定的， 这个变量后期去掉
collections=DATABASE.index_day):
'''
:param code: code: 字符串str eg 600085
:param start: 字符串str 开始日期 eg 2011-01-01
:param end: 字符串str 结束日期 eg 2... | def QA_fetch_index_day_adv(
code,
start, end=None,
if_drop_index=True,
# 🛠 todo collections 参数没有用到， 且数据库是固定的， 这个变量后期去掉
collections=DATABASE.index_day):
'''
:param code: code: 字符串str eg 600085
:param start: 字符串str 开始日期 eg 2011-01-01
:param end: 字符串str 结束日期 eg 2... | [
":",
"param",
"code",
":",
"code",
":",
"字符串str",
"eg",
"600085",
":",
"param",
"start",
":",
"字符串str",
"开始日期",
"eg",
"2011",
"-",
"01",
"-",
"01",
":",
"param",
"end",
":",
"字符串str",
"结束日期",
"eg",
"2011",
"-",
"05",
"-",
"01",
":",
"param",
"if_... | QUANTAXIS/QUANTAXIS | python | https://github.com/QUANTAXIS/QUANTAXIS/blob/bb1fe424e4108b62a1f712b81a05cf829297a5c0/QUANTAXIS/QAFetch/QAQuery_Advance.py#L203-L235 | [
"def",
"QA_fetch_index_day_adv",
"(",
"code",
",",
"start",
",",
"end",
"=",
"None",
",",
"if_drop_index",
"=",
"True",
",",
"# 🛠 todo collections 参数没有用到， 且数据库是固定的， 这个变量后期去掉",
"collections",
"=",
"DATABASE",
".",
"index_day",
")",
":",
"'获取指数日线'",
"end",
"=",
"st... | bb1fe424e4108b62a1f712b81a05cf829297a5c0 |
train | QA_fetch_index_min_adv | '获取股票分钟线'
:param code:
:param start:
:param end:
:param frequence:
:param if_drop_index:
:param collections:
:return: | QUANTAXIS/QAFetch/QAQuery_Advance.py | def QA_fetch_index_min_adv(
code,
start, end=None,
frequence='1min',
if_drop_index=True,
collections=DATABASE.index_min):
'''
'获取股票分钟线'
:param code:
:param start:
:param end:
:param frequence:
:param if_drop_index:
:param collections:
:return:
... | def QA_fetch_index_min_adv(
code,
start, end=None,
frequence='1min',
if_drop_index=True,
collections=DATABASE.index_min):
'''
'获取股票分钟线'
:param code:
:param start:
:param end:
:param frequence:
:param if_drop_index:
:param collections:
:return:
... | [
"获取股票分钟线",
":",
"param",
"code",
":",
":",
"param",
"start",
":",
":",
"param",
"end",
":",
":",
"param",
"frequence",
":",
":",
"param",
"if_drop_index",
":",
":",
"param",
"collections",
":",
":",
"return",
":"
] | QUANTAXIS/QUANTAXIS | python | https://github.com/QUANTAXIS/QUANTAXIS/blob/bb1fe424e4108b62a1f712b81a05cf829297a5c0/QUANTAXIS/QAFetch/QAQuery_Advance.py#L238-L290 | [
"def",
"QA_fetch_index_min_adv",
"(",
"code",
",",
"start",
",",
"end",
"=",
"None",
",",
"frequence",
"=",
"'1min'",
",",
"if_drop_index",
"=",
"True",
",",
"collections",
"=",
"DATABASE",
".",
"index_min",
")",
":",
"if",
"frequence",
"in",
"[",
"'1min'"... | bb1fe424e4108b62a1f712b81a05cf829297a5c0 |
train | QA_fetch_stock_list_adv | '获取股票列表'
:param collections: mongodb 数据库
:return: DataFrame | QUANTAXIS/QAFetch/QAQuery_Advance.py | def QA_fetch_stock_list_adv(collections=DATABASE.stock_list):
'''
'获取股票列表'
:param collections: mongodb 数据库
:return: DataFrame
'''
stock_list_items = QA_fetch_stock_list(collections)
if len(stock_list_items) == 0:
print("QA Error QA_fetch_stock_list_adv call item for item in collectio... | def QA_fetch_stock_list_adv(collections=DATABASE.stock_list):
'''
'获取股票列表'
:param collections: mongodb 数据库
:return: DataFrame
'''
stock_list_items = QA_fetch_stock_list(collections)
if len(stock_list_items) == 0:
print("QA Error QA_fetch_stock_list_adv call item for item in collectio... | [
"获取股票列表",
":",
"param",
"collections",
":",
"mongodb",
"数据库",
":",
"return",
":",
"DataFrame"
] | QUANTAXIS/QUANTAXIS | python | https://github.com/QUANTAXIS/QUANTAXIS/blob/bb1fe424e4108b62a1f712b81a05cf829297a5c0/QUANTAXIS/QAFetch/QAQuery_Advance.py#L319-L329 | [
"def",
"QA_fetch_stock_list_adv",
"(",
"collections",
"=",
"DATABASE",
".",
"stock_list",
")",
":",
"stock_list_items",
"=",
"QA_fetch_stock_list",
"(",
"collections",
")",
"if",
"len",
"(",
"stock_list_items",
")",
"==",
"0",
":",
"print",
"(",
"\"QA Error QA_fet... | bb1fe424e4108b62a1f712b81a05cf829297a5c0 |
train | QA_fetch_index_list_adv | '获取股票列表'
:param collections: mongodb 数据库
:return: DataFrame | QUANTAXIS/QAFetch/QAQuery_Advance.py | def QA_fetch_index_list_adv(collections=DATABASE.index_list):
'''
'获取股票列表'
:param collections: mongodb 数据库
:return: DataFrame
'''
index_list_items = QA_fetch_index_list(collections)
if len(index_list_items) == 0:
print("QA Error QA_fetch_index_list_adv call item for item in collectio... | def QA_fetch_index_list_adv(collections=DATABASE.index_list):
'''
'获取股票列表'
:param collections: mongodb 数据库
:return: DataFrame
'''
index_list_items = QA_fetch_index_list(collections)
if len(index_list_items) == 0:
print("QA Error QA_fetch_index_list_adv call item for item in collectio... | [
"获取股票列表",
":",
"param",
"collections",
":",
"mongodb",
"数据库",
":",
"return",
":",
"DataFrame"
] | QUANTAXIS/QUANTAXIS | python | https://github.com/QUANTAXIS/QUANTAXIS/blob/bb1fe424e4108b62a1f712b81a05cf829297a5c0/QUANTAXIS/QAFetch/QAQuery_Advance.py#L332-L342 | [
"def",
"QA_fetch_index_list_adv",
"(",
"collections",
"=",
"DATABASE",
".",
"index_list",
")",
":",
"index_list_items",
"=",
"QA_fetch_index_list",
"(",
"collections",
")",
"if",
"len",
"(",
"index_list_items",
")",
"==",
"0",
":",
"print",
"(",
"\"QA Error QA_fet... | bb1fe424e4108b62a1f712b81a05cf829297a5c0 |
train | QA_fetch_future_day_adv | :param code: code: 字符串str eg 600085
:param start: 字符串str 开始日期 eg 2011-01-01
:param end: 字符串str 结束日期 eg 2011-05-01
:param if_drop_index: Ture False ， dataframe drop index or not
:param collections: mongodb 数据库
:return: | QUANTAXIS/QAFetch/QAQuery_Advance.py | def QA_fetch_future_day_adv(
code,
start, end=None,
if_drop_index=True,
# 🛠 todo collections 参数没有用到， 且数据库是固定的， 这个变量后期去掉
collections=DATABASE.index_day):
'''
:param code: code: 字符串str eg 600085
:param start: 字符串str 开始日期 eg 2011-01-01
:param end: 字符串str 结束日期 eg ... | def QA_fetch_future_day_adv(
code,
start, end=None,
if_drop_index=True,
# 🛠 todo collections 参数没有用到， 且数据库是固定的， 这个变量后期去掉
collections=DATABASE.index_day):
'''
:param code: code: 字符串str eg 600085
:param start: 字符串str 开始日期 eg 2011-01-01
:param end: 字符串str 结束日期 eg ... | [
":",
"param",
"code",
":",
"code",
":",
"字符串str",
"eg",
"600085",
":",
"param",
"start",
":",
"字符串str",
"开始日期",
"eg",
"2011",
"-",
"01",
"-",
"01",
":",
"param",
"end",
":",
"字符串str",
"结束日期",
"eg",
"2011",
"-",
"05",
"-",
"01",
":",
"param",
"if_... | QUANTAXIS/QUANTAXIS | python | https://github.com/QUANTAXIS/QUANTAXIS/blob/bb1fe424e4108b62a1f712b81a05cf829297a5c0/QUANTAXIS/QAFetch/QAQuery_Advance.py#L344-L375 | [
"def",
"QA_fetch_future_day_adv",
"(",
"code",
",",
"start",
",",
"end",
"=",
"None",
",",
"if_drop_index",
"=",
"True",
",",
"# 🛠 todo collections 参数没有用到， 且数据库是固定的， 这个变量后期去掉",
"collections",
"=",
"DATABASE",
".",
"index_day",
")",
":",
"'获取期货日线'",
"end",
"=",
"s... | bb1fe424e4108b62a1f712b81a05cf829297a5c0 |
train | QA_fetch_future_min_adv | '获取股票分钟线'
:param code:
:param start:
:param end:
:param frequence:
:param if_drop_index:
:param collections:
:return: | QUANTAXIS/QAFetch/QAQuery_Advance.py | def QA_fetch_future_min_adv(
code,
start, end=None,
frequence='1min',
if_drop_index=True,
collections=DATABASE.future_min):
'''
'获取股票分钟线'
:param code:
:param start:
:param end:
:param frequence:
:param if_drop_index:
:param collections:
:return... | def QA_fetch_future_min_adv(
code,
start, end=None,
frequence='1min',
if_drop_index=True,
collections=DATABASE.future_min):
'''
'获取股票分钟线'
:param code:
:param start:
:param end:
:param frequence:
:param if_drop_index:
:param collections:
:return... | [
"获取股票分钟线",
":",
"param",
"code",
":",
":",
"param",
"start",
":",
":",
"param",
"end",
":",
":",
"param",
"frequence",
":",
":",
"param",
"if_drop_index",
":",
":",
"param",
"collections",
":",
":",
"return",
":"
] | QUANTAXIS/QUANTAXIS | python | https://github.com/QUANTAXIS/QUANTAXIS/blob/bb1fe424e4108b62a1f712b81a05cf829297a5c0/QUANTAXIS/QAFetch/QAQuery_Advance.py#L378-L430 | [
"def",
"QA_fetch_future_min_adv",
"(",
"code",
",",
"start",
",",
"end",
"=",
"None",
",",
"frequence",
"=",
"'1min'",
",",
"if_drop_index",
"=",
"True",
",",
"collections",
"=",
"DATABASE",
".",
"future_min",
")",
":",
"if",
"frequence",
"in",
"[",
"'1min... | bb1fe424e4108b62a1f712b81a05cf829297a5c0 |
train | QA_fetch_future_list_adv | '获取股票列表'
:param collections: mongodb 数据库
:return: DataFrame | QUANTAXIS/QAFetch/QAQuery_Advance.py | def QA_fetch_future_list_adv(collections=DATABASE.future_list):
'''
'获取股票列表'
:param collections: mongodb 数据库
:return: DataFrame
'''
future_list_items = QA_fetch_future_list()
if len(future_list_items) == 0:
print("QA Error QA_fetch_future_list_adv call item for item in collections.fi... | def QA_fetch_future_list_adv(collections=DATABASE.future_list):
'''
'获取股票列表'
:param collections: mongodb 数据库
:return: DataFrame
'''
future_list_items = QA_fetch_future_list()
if len(future_list_items) == 0:
print("QA Error QA_fetch_future_list_adv call item for item in collections.fi... | [
"获取股票列表",
":",
"param",
"collections",
":",
"mongodb",
"数据库",
":",
"return",
":",
"DataFrame"
] | QUANTAXIS/QUANTAXIS | python | https://github.com/QUANTAXIS/QUANTAXIS/blob/bb1fe424e4108b62a1f712b81a05cf829297a5c0/QUANTAXIS/QAFetch/QAQuery_Advance.py#L433-L443 | [
"def",
"QA_fetch_future_list_adv",
"(",
"collections",
"=",
"DATABASE",
".",
"future_list",
")",
":",
"future_list_items",
"=",
"QA_fetch_future_list",
"(",
")",
"if",
"len",
"(",
"future_list_items",
")",
"==",
"0",
":",
"print",
"(",
"\"QA Error QA_fetch_future_li... | bb1fe424e4108b62a1f712b81a05cf829297a5c0 |
train | QA_fetch_stock_block_adv | 返回板块 ❌
:param code:
:param blockname:
:param collections: 默认数据库 stock_block
:return: QA_DataStruct_Stock_block | QUANTAXIS/QAFetch/QAQuery_Advance.py | def QA_fetch_stock_block_adv(code=None, blockname=None, collections=DATABASE.stock_block):
'''
返回板块 ❌
:param code:
:param blockname:
:param collections: 默认数据库 stock_block
:return: QA_DataStruct_Stock_block
'''
if code is not None and blockname is None:
# 返回这个股票代码所属的板块
dat... | def QA_fetch_stock_block_adv(code=None, blockname=None, collections=DATABASE.stock_block):
'''
返回板块 ❌
:param code:
:param blockname:
:param collections: 默认数据库 stock_block
:return: QA_DataStruct_Stock_block
'''
if code is not None and blockname is None:
# 返回这个股票代码所属的板块
dat... | [
"返回板块",
"❌",
":",
"param",
"code",
":",
":",
"param",
"blockname",
":",
":",
"param",
"collections",
":",
"默认数据库",
"stock_block",
":",
"return",
":",
"QA_DataStruct_Stock_block"
] | QUANTAXIS/QUANTAXIS | python | https://github.com/QUANTAXIS/QUANTAXIS/blob/bb1fe424e4108b62a1f712b81a05cf829297a5c0/QUANTAXIS/QAFetch/QAQuery_Advance.py#L446-L478 | [
"def",
"QA_fetch_stock_block_adv",
"(",
"code",
"=",
"None",
",",
"blockname",
"=",
"None",
",",
"collections",
"=",
"DATABASE",
".",
"stock_block",
")",
":",
"if",
"code",
"is",
"not",
"None",
"and",
"blockname",
"is",
"None",
":",
"# 返回这个股票代码所属的板块",
"data"... | bb1fe424e4108b62a1f712b81a05cf829297a5c0 |
train | QA_fetch_stock_realtime_adv | 返回当日的上下五档, code可以是股票可以是list, num是每个股票获取的数量
:param code:
:param num:
:param collections: realtime_XXXX-XX-XX 每天实时时间
:return: DataFrame | QUANTAXIS/QAFetch/QAQuery_Advance.py | def QA_fetch_stock_realtime_adv(code=None,
num=1,
collections=DATABASE.get_collection('realtime_{}'.format(datetime.date.today()))):
'''
返回当日的上下五档, code可以是股票可以是list, num是每个股票获取的数量
:param code:
:param num:
:param collections: realtime_X... | def QA_fetch_stock_realtime_adv(code=None,
num=1,
collections=DATABASE.get_collection('realtime_{}'.format(datetime.date.today()))):
'''
返回当日的上下五档, code可以是股票可以是list, num是每个股票获取的数量
:param code:
:param num:
:param collections: realtime_X... | [
"返回当日的上下五档",
"code可以是股票可以是list",
"num是每个股票获取的数量",
":",
"param",
"code",
":",
":",
"param",
"num",
":",
":",
"param",
"collections",
":",
"realtime_XXXX",
"-",
"XX",
"-",
"XX",
"每天实时时间",
":",
"return",
":",
"DataFrame"
] | QUANTAXIS/QUANTAXIS | python | https://github.com/QUANTAXIS/QUANTAXIS/blob/bb1fe424e4108b62a1f712b81a05cf829297a5c0/QUANTAXIS/QAFetch/QAQuery_Advance.py#L481-L513 | [
"def",
"QA_fetch_stock_realtime_adv",
"(",
"code",
"=",
"None",
",",
"num",
"=",
"1",
",",
"collections",
"=",
"DATABASE",
".",
"get_collection",
"(",
"'realtime_{}'",
".",
"format",
"(",
"datetime",
".",
"date",
".",
"today",
"(",
")",
")",
")",
")",
":... | bb1fe424e4108b62a1f712b81a05cf829297a5c0 |
train | QA_fetch_financial_report_adv | 高级财务查询接口
Arguments:
code {[type]} -- [description]
start {[type]} -- [description]
Keyword Arguments:
end {[type]} -- [description] (default: {None}) | QUANTAXIS/QAFetch/QAQuery_Advance.py | def QA_fetch_financial_report_adv(code, start, end=None, ltype='EN'):
"""高级财务查询接口
Arguments:
code {[type]} -- [description]
start {[type]} -- [description]
Keyword Arguments:
end {[type]} -- [description] (default: {None})
"""
if end is None:
return QA_DataStruct_Fi... | def QA_fetch_financial_report_adv(code, start, end=None, ltype='EN'):
"""高级财务查询接口
Arguments:
code {[type]} -- [description]
start {[type]} -- [description]
Keyword Arguments:
end {[type]} -- [description] (default: {None})
"""
if end is None:
return QA_DataStruct_Fi... | [
"高级财务查询接口",
"Arguments",
":",
"code",
"{",
"[",
"type",
"]",
"}",
"--",
"[",
"description",
"]",
"start",
"{",
"[",
"type",
"]",
"}",
"--",
"[",
"description",
"]",
"Keyword",
"Arguments",
":",
"end",
"{",
"[",
"type",
"]",
"}",
"--",
"[",
"descrip... | QUANTAXIS/QUANTAXIS | python | https://github.com/QUANTAXIS/QUANTAXIS/blob/bb1fe424e4108b62a1f712b81a05cf829297a5c0/QUANTAXIS/QAFetch/QAQuery_Advance.py#L516-L532 | [
"def",
"QA_fetch_financial_report_adv",
"(",
"code",
",",
"start",
",",
"end",
"=",
"None",
",",
"ltype",
"=",
"'EN'",
")",
":",
"if",
"end",
"is",
"None",
":",
"return",
"QA_DataStruct_Financial",
"(",
"QA_fetch_financial_report",
"(",
"code",
",",
"start",
... | bb1fe424e4108b62a1f712b81a05cf829297a5c0 |
train | QA_fetch_stock_financial_calendar_adv | 获取股票日线 | QUANTAXIS/QAFetch/QAQuery_Advance.py | def QA_fetch_stock_financial_calendar_adv(code, start="all", end=None, format='pd', collections=DATABASE.report_calendar):
'获取股票日线'
#code= [code] if isinstance(code,str) else code
end = start if end is None else end
start = str(start)[0:10]
end = str(end)[0:10]
# code checking
if start == '... | def QA_fetch_stock_financial_calendar_adv(code, start="all", end=None, format='pd', collections=DATABASE.report_calendar):
'获取股票日线'
#code= [code] if isinstance(code,str) else code
end = start if end is None else end
start = str(start)[0:10]
end = str(end)[0:10]
# code checking
if start == '... | [
"获取股票日线"
] | QUANTAXIS/QUANTAXIS | python | https://github.com/QUANTAXIS/QUANTAXIS/blob/bb1fe424e4108b62a1f712b81a05cf829297a5c0/QUANTAXIS/QAFetch/QAQuery_Advance.py#L572-L591 | [
"def",
"QA_fetch_stock_financial_calendar_adv",
"(",
"code",
",",
"start",
"=",
"\"all\"",
",",
"end",
"=",
"None",
",",
"format",
"=",
"'pd'",
",",
"collections",
"=",
"DATABASE",
".",
"report_calendar",
")",
":",
"#code= [code] if isinstance(code,str) else code",
... | bb1fe424e4108b62a1f712b81a05cf829297a5c0 |
train | QA_fetch_get_tdxtraderecord | QUANTAXIS 读取历史交易记录 通达信 历史成交-输出-xlsfile--转换csvfile | QUANTAXIS/QAFetch/QATradeFile.py | def QA_fetch_get_tdxtraderecord(file):
"""
QUANTAXIS 读取历史交易记录 通达信 历史成交-输出-xlsfile--转换csvfile
"""
try:
with open('./20180606.csv', 'r') as f:
l = csv.reader(f)
data = [item for item in l]
res = pd.DataFrame(data[1:], columns=data[0])
return res
except:... | def QA_fetch_get_tdxtraderecord(file):
"""
QUANTAXIS 读取历史交易记录 通达信 历史成交-输出-xlsfile--转换csvfile
"""
try:
with open('./20180606.csv', 'r') as f:
l = csv.reader(f)
data = [item for item in l]
res = pd.DataFrame(data[1:], columns=data[0])
return res
except:... | [
"QUANTAXIS",
"读取历史交易记录",
"通达信",
"历史成交",
"-",
"输出",
"-",
"xlsfile",
"--",
"转换csvfile"
] | QUANTAXIS/QUANTAXIS | python | https://github.com/QUANTAXIS/QUANTAXIS/blob/bb1fe424e4108b62a1f712b81a05cf829297a5c0/QUANTAXIS/QAFetch/QATradeFile.py#L39-L51 | [
"def",
"QA_fetch_get_tdxtraderecord",
"(",
"file",
")",
":",
"try",
":",
"with",
"open",
"(",
"'./20180606.csv'",
",",
"'r'",
")",
"as",
"f",
":",
"l",
"=",
"csv",
".",
"reader",
"(",
"f",
")",
"data",
"=",
"[",
"item",
"for",
"item",
"in",
"l",
"]... | bb1fe424e4108b62a1f712b81a05cf829297a5c0 |
train | AROON | 阿隆指标
Arguments:
DataFrame {[type]} -- [description]
Keyword Arguments:
N {int} -- [description] (default: {14})
Returns:
[type] -- [description] | QUANTAXIS/QAIndicator/talib_indicators.py | def AROON(DataFrame, N=14):
"""阿隆指标
Arguments:
DataFrame {[type]} -- [description]
Keyword Arguments:
N {int} -- [description] (default: {14})
Returns:
[type] -- [description]
"""
ar_up, ar_down = talib.AROON(DataFrame.high.values, DataFrame.low.values, N)... | def AROON(DataFrame, N=14):
"""阿隆指标
Arguments:
DataFrame {[type]} -- [description]
Keyword Arguments:
N {int} -- [description] (default: {14})
Returns:
[type] -- [description]
"""
ar_up, ar_down = talib.AROON(DataFrame.high.values, DataFrame.low.values, N)... | [
"阿隆指标",
"Arguments",
":",
"DataFrame",
"{",
"[",
"type",
"]",
"}",
"--",
"[",
"description",
"]",
"Keyword",
"Arguments",
":",
"N",
"{",
"int",
"}",
"--",
"[",
"description",
"]",
"(",
"default",
":",
"{",
"14",
"}",
")",
"Returns",
":",
"[",
"type... | QUANTAXIS/QUANTAXIS | python | https://github.com/QUANTAXIS/QUANTAXIS/blob/bb1fe424e4108b62a1f712b81a05cf829297a5c0/QUANTAXIS/QAIndicator/talib_indicators.py#L55-L69 | [
"def",
"AROON",
"(",
"DataFrame",
",",
"N",
"=",
"14",
")",
":",
"ar_up",
",",
"ar_down",
"=",
"talib",
".",
"AROON",
"(",
"DataFrame",
".",
"high",
".",
"values",
",",
"DataFrame",
".",
"low",
".",
"values",
",",
"N",
")",
"return",
"pd",
".",
"... | bb1fe424e4108b62a1f712b81a05cf829297a5c0 |
train | MARKET_PRESET.get_commission_coeff | 当前无法区分是百分比还是按手数收费,不过可以拿到以后自行判断 | QUANTAXIS/QAARP/market_preset.py | def get_commission_coeff(self, code):
"""
当前无法区分是百分比还是按手数收费,不过可以拿到以后自行判断
"""
return max(self.get_code(code).get('commission_coeff_peramount'),
self.get_code(code).get('commission_coeff_pervol')) | def get_commission_coeff(self, code):
"""
当前无法区分是百分比还是按手数收费,不过可以拿到以后自行判断
"""
return max(self.get_code(code).get('commission_coeff_peramount'),
self.get_code(code).get('commission_coeff_pervol')) | [
"当前无法区分是百分比还是按手数收费",
"不过可以拿到以后自行判断"
] | QUANTAXIS/QUANTAXIS | python | https://github.com/QUANTAXIS/QUANTAXIS/blob/bb1fe424e4108b62a1f712b81a05cf829297a5c0/QUANTAXIS/QAARP/market_preset.py#L638-L643 | [
"def",
"get_commission_coeff",
"(",
"self",
",",
"code",
")",
":",
"return",
"max",
"(",
"self",
".",
"get_code",
"(",
"code",
")",
".",
"get",
"(",
"'commission_coeff_peramount'",
")",
",",
"self",
".",
"get_code",
"(",
"code",
")",
".",
"get",
"(",
"... | bb1fe424e4108b62a1f712b81a05cf829297a5c0 |
train | QAAnalysis_trade.import_trade | trade是一个可迭代的list/generator | QUANTAXIS/QAAnalysis/QAAnalysis_trade.py | def import_trade(self, trade):
"""
trade是一个可迭代的list/generator
"""
for item in trade:
self.make_deal(item.code, item.datetime, item.amount,
item.towards, item.price.item.order_model, item.amount_model) | def import_trade(self, trade):
"""
trade是一个可迭代的list/generator
"""
for item in trade:
self.make_deal(item.code, item.datetime, item.amount,
item.towards, item.price.item.order_model, item.amount_model) | [
"trade是一个可迭代的list",
"/",
"generator"
] | QUANTAXIS/QUANTAXIS | python | https://github.com/QUANTAXIS/QUANTAXIS/blob/bb1fe424e4108b62a1f712b81a05cf829297a5c0/QUANTAXIS/QAAnalysis/QAAnalysis_trade.py#L54-L60 | [
"def",
"import_trade",
"(",
"self",
",",
"trade",
")",
":",
"for",
"item",
"in",
"trade",
":",
"self",
".",
"make_deal",
"(",
"item",
".",
"code",
",",
"item",
".",
"datetime",
",",
"item",
".",
"amount",
",",
"item",
".",
"towards",
",",
"item",
"... | bb1fe424e4108b62a1f712b81a05cf829297a5c0 |
train | QAAnalysis_trade.make_deal | 这是一个一定会成交,并且立刻结转(及t+0)的交易入口 | QUANTAXIS/QAAnalysis/QAAnalysis_trade.py | def make_deal(self, code, datetime, amount=100, towards=ORDER_DIRECTION.BUY, price=0, order_model=ORDER_MODEL.MARKET, amount_model=AMOUNT_MODEL.BY_AMOUNT):
"""
这是一个一定会成交,并且立刻结转(及t+0)的交易入口
"""
self.account.receive_deal(self.backtest_broker.receive_order(QA_Event(order=self.account.send_or... | def make_deal(self, code, datetime, amount=100, towards=ORDER_DIRECTION.BUY, price=0, order_model=ORDER_MODEL.MARKET, amount_model=AMOUNT_MODEL.BY_AMOUNT):
"""
这是一个一定会成交,并且立刻结转(及t+0)的交易入口
"""
self.account.receive_deal(self.backtest_broker.receive_order(QA_Event(order=self.account.send_or... | [
"这是一个一定会成交",
"并且立刻结转",
"(",
"及t",
"+",
"0",
")",
"的交易入口"
] | QUANTAXIS/QUANTAXIS | python | https://github.com/QUANTAXIS/QUANTAXIS/blob/bb1fe424e4108b62a1f712b81a05cf829297a5c0/QUANTAXIS/QAAnalysis/QAAnalysis_trade.py#L62-L69 | [
"def",
"make_deal",
"(",
"self",
",",
"code",
",",
"datetime",
",",
"amount",
"=",
"100",
",",
"towards",
"=",
"ORDER_DIRECTION",
".",
"BUY",
",",
"price",
"=",
"0",
",",
"order_model",
"=",
"ORDER_MODEL",
".",
"MARKET",
",",
"amount_model",
"=",
"AMOUNT... | bb1fe424e4108b62a1f712b81a05cf829297a5c0 |
train | QA_Order.cancel | 撤单
Arguments:
amount {int} -- 撤单数量 | QUANTAXIS/QAMarket/QAOrder.py | def cancel(self):
"""撤单
Arguments:
amount {int} -- 撤单数量
"""
self.cancel_amount = self.amount - self.trade_amount
if self.trade_amount == 0:
# 未交易 直接订单全撤
self._status = ORDER_STATUS.CANCEL_ALL
else:
# 部分交易 剩余订单全撤
... | def cancel(self):
"""撤单
Arguments:
amount {int} -- 撤单数量
"""
self.cancel_amount = self.amount - self.trade_amount
if self.trade_amount == 0:
# 未交易 直接订单全撤
self._status = ORDER_STATUS.CANCEL_ALL
else:
# 部分交易 剩余订单全撤
... | [
"撤单"
] | QUANTAXIS/QUANTAXIS | python | https://github.com/QUANTAXIS/QUANTAXIS/blob/bb1fe424e4108b62a1f712b81a05cf829297a5c0/QUANTAXIS/QAMarket/QAOrder.py#L246-L259 | [
"def",
"cancel",
"(",
"self",
")",
":",
"self",
".",
"cancel_amount",
"=",
"self",
".",
"amount",
"-",
"self",
".",
"trade_amount",
"if",
"self",
".",
"trade_amount",
"==",
"0",
":",
"# 未交易 直接订单全撤",
"self",
".",
"_status",
"=",
"ORDER_STATUS",
".",
"CAN... | bb1fe424e4108b62a1f712b81a05cf829297a5c0 |
train | QA_Order.failed | 失败订单(未成功创建入broker)
Arguments:
reason {str} -- 失败原因 | QUANTAXIS/QAMarket/QAOrder.py | def failed(self, reason=None):
"""失败订单(未成功创建入broker)
Arguments:
reason {str} -- 失败原因
"""
# 订单创建失败(如废单/场外废单/价格高于涨停价/价格低于跌停价/通讯失败)
self._status = ORDER_STATUS.FAILED
self.reason = str(reason) | def failed(self, reason=None):
"""失败订单(未成功创建入broker)
Arguments:
reason {str} -- 失败原因
"""
# 订单创建失败(如废单/场外废单/价格高于涨停价/价格低于跌停价/通讯失败)
self._status = ORDER_STATUS.FAILED
self.reason = str(reason) | [
"失败订单",
"(",
"未成功创建入broker",
")"
] | QUANTAXIS/QUANTAXIS | python | https://github.com/QUANTAXIS/QUANTAXIS/blob/bb1fe424e4108b62a1f712b81a05cf829297a5c0/QUANTAXIS/QAMarket/QAOrder.py#L261-L269 | [
"def",
"failed",
"(",
"self",
",",
"reason",
"=",
"None",
")",
":",
"# 订单创建失败(如废单/场外废单/价格高于涨停价/价格低于跌停价/通讯失败)",
"self",
".",
"_status",
"=",
"ORDER_STATUS",
".",
"FAILED",
"self",
".",
"reason",
"=",
"str",
"(",
"reason",
")"
] | bb1fe424e4108b62a1f712b81a05cf829297a5c0 |
train | QA_Order.trade | trade 状态
Arguments:
amount {[type]} -- [description] | QUANTAXIS/QAMarket/QAOrder.py | def trade(self, trade_id, trade_price, trade_amount, trade_time):
"""trade 状态
Arguments:
amount {[type]} -- [description]
"""
if self.status in [ORDER_STATUS.SUCCESS_PART, ORDER_STATUS.QUEUED]:
trade_amount = int(trade_amount)
trade_id = str(trade_id)... | def trade(self, trade_id, trade_price, trade_amount, trade_time):
"""trade 状态
Arguments:
amount {[type]} -- [description]
"""
if self.status in [ORDER_STATUS.SUCCESS_PART, ORDER_STATUS.QUEUED]:
trade_amount = int(trade_amount)
trade_id = str(trade_id)... | [
"trade",
"状态"
] | QUANTAXIS/QUANTAXIS | python | https://github.com/QUANTAXIS/QUANTAXIS/blob/bb1fe424e4108b62a1f712b81a05cf829297a5c0/QUANTAXIS/QAMarket/QAOrder.py#L271-L314 | [
"def",
"trade",
"(",
"self",
",",
"trade_id",
",",
"trade_price",
",",
"trade_amount",
",",
"trade_time",
")",
":",
"if",
"self",
".",
"status",
"in",
"[",
"ORDER_STATUS",
".",
"SUCCESS_PART",
",",
"ORDER_STATUS",
".",
"QUEUED",
"]",
":",
"trade_amount",
"... | bb1fe424e4108b62a1f712b81a05cf829297a5c0 |
train | QA_Order.to_otgdict | {
"aid": "insert_order", # //必填, 下单请求
# //必填, 需要与登录用户名一致, 或为登录用户的子账户(例如登录用户为user1, 则报单 user_id 应当为 user1 或 user1.some_unit)
"user_id": account_cookie,
# //必填, 委托单号, 需确保在一个账号中不重复, 限长512字节
"order_id": order_id if order_id els... | QUANTAXIS/QAMarket/QAOrder.py | def to_otgdict(self):
"""{
"aid": "insert_order", # //必填, 下单请求
# //必填, 需要与登录用户名一致, 或为登录用户的子账户(例如登录用户为user1, 则报单 user_id 应当为 user1 或 user1.some_unit)
"user_id": account_cookie,
# //必填, 委托单号, 需确保在一个账号中不重复, 限长512字节
"or... | def to_otgdict(self):
"""{
"aid": "insert_order", # //必填, 下单请求
# //必填, 需要与登录用户名一致, 或为登录用户的子账户(例如登录用户为user1, 则报单 user_id 应当为 user1 或 user1.some_unit)
"user_id": account_cookie,
# //必填, 委托单号, 需确保在一个账号中不重复, 限长512字节
"or... | [
"{",
"aid",
":",
"insert_order",
"#",
"//",
"必填",
"下单请求",
"#",
"//",
"必填",
"需要与登录用户名一致",
"或为登录用户的子账户",
"(",
"例如登录用户为user1",
"则报单",
"user_id",
"应当为",
"user1",
"或",
"user1",
".",
"some_unit",
")",
"user_id",
":",
"account_cookie",
"#",
"//",
"必填",
"委托单号",
... | QUANTAXIS/QUANTAXIS | python | https://github.com/QUANTAXIS/QUANTAXIS/blob/bb1fe424e4108b62a1f712b81a05cf829297a5c0/QUANTAXIS/QAMarket/QAOrder.py#L365-L400 | [
"def",
"to_otgdict",
"(",
"self",
")",
":",
"return",
"{",
"\"aid\"",
":",
"\"insert_order\"",
",",
"# //必填, 下单请求",
"# //必填, 需要与登录用户名一致, 或为登录用户的子账户(例如登录用户为user1, 则报单 user_id 应当为 user1 或 user1.some_unit)",
"\"user_id\"",
":",
"self",
".",
"account_cookie",
",",
"# //必填, 委托单号, ... | bb1fe424e4108b62a1f712b81a05cf829297a5c0 |
train | QA_Order.from_otgformat | [summary]
Arguments:
otgOrder {[type]} -- [description]
{'seqno': 6,
'user_id': '106184',
'order_id': 'WDRB_QA01_FtNlyBem',
'exchange_id': 'SHFE',
'instrument_id': 'rb1905',
'direction': 'SELL',
'offset': 'OPEN',
'volume_orign': 50, ... | QUANTAXIS/QAMarket/QAOrder.py | def from_otgformat(self, otgOrder):
"""[summary]
Arguments:
otgOrder {[type]} -- [description]
{'seqno': 6,
'user_id': '106184',
'order_id': 'WDRB_QA01_FtNlyBem',
'exchange_id': 'SHFE',
'instrument_id': 'rb1905',
'direction': 'SELL',
... | def from_otgformat(self, otgOrder):
"""[summary]
Arguments:
otgOrder {[type]} -- [description]
{'seqno': 6,
'user_id': '106184',
'order_id': 'WDRB_QA01_FtNlyBem',
'exchange_id': 'SHFE',
'instrument_id': 'rb1905',
'direction': 'SELL',
... | [
"[",
"summary",
"]"
] | QUANTAXIS/QUANTAXIS | python | https://github.com/QUANTAXIS/QUANTAXIS/blob/bb1fe424e4108b62a1f712b81a05cf829297a5c0/QUANTAXIS/QAMarket/QAOrder.py#L419-L476 | [
"def",
"from_otgformat",
"(",
"self",
",",
"otgOrder",
")",
":",
"self",
".",
"order_id",
"=",
"otgOrder",
".",
"get",
"(",
"'order_id'",
")",
"self",
".",
"account_cookie",
"=",
"otgOrder",
".",
"get",
"(",
"'user_id'",
")",
"self",
".",
"exchange_id",
... | bb1fe424e4108b62a1f712b81a05cf829297a5c0 |
train | QA_Order.from_dict | 从字段类型的字段 填充 对象的字段
:param order_dict: dict 类型
:return: self QA_Order | QUANTAXIS/QAMarket/QAOrder.py | def from_dict(self, order_dict):
'''
从字段类型的字段 填充 对象的字段
:param order_dict: dict 类型
:return: self QA_Order
'''
try:
# QA_util_log_info('QA_ORDER CHANGE: from {} change to {}'.format(
# self.order_id, order['order_id']))
self.price = ... | def from_dict(self, order_dict):
'''
从字段类型的字段 填充 对象的字段
:param order_dict: dict 类型
:return: self QA_Order
'''
try:
# QA_util_log_info('QA_ORDER CHANGE: from {} change to {}'.format(
# self.order_id, order['order_id']))
self.price = ... | [
"从字段类型的字段",
"填充",
"对象的字段",
":",
"param",
"order_dict",
":",
"dict",
"类型",
":",
"return",
":",
"self",
"QA_Order"
] | QUANTAXIS/QUANTAXIS | python | https://github.com/QUANTAXIS/QUANTAXIS/blob/bb1fe424e4108b62a1f712b81a05cf829297a5c0/QUANTAXIS/QAMarket/QAOrder.py#L478-L520 | [
"def",
"from_dict",
"(",
"self",
",",
"order_dict",
")",
":",
"try",
":",
"# QA_util_log_info('QA_ORDER CHANGE: from {} change to {}'.format(",
"# self.order_id, order['order_id']))",
"self",
".",
"price",
"=",
"order_dict",
"[",
"'price'",
"]",
"self",
".",
"date",
... | bb1fe424e4108b62a1f712b81a05cf829297a5c0 |
train | QA_OrderQueue.insert_order | :param order: QA_Order类型
:return: | QUANTAXIS/QAMarket/QAOrder.py | def insert_order(self, order):
'''
:param order: QA_Order类型
:return:
'''
#print(" *>> QAOrder!insert_order {}".format(order))
# QUEUED = 300 # queued 用于表示在order_queue中 实际表达的意思是订单存活 待成交
#order.status = ORDER_STATUS.QUEUED
# 🛠 todo 是为了速度快把order对象转换成 d... | def insert_order(self, order):
'''
:param order: QA_Order类型
:return:
'''
#print(" *>> QAOrder!insert_order {}".format(order))
# QUEUED = 300 # queued 用于表示在order_queue中 实际表达的意思是订单存活 待成交
#order.status = ORDER_STATUS.QUEUED
# 🛠 todo 是为了速度快把order对象转换成 d... | [
":",
"param",
"order",
":",
"QA_Order类型",
":",
"return",
":"
] | QUANTAXIS/QUANTAXIS | python | https://github.com/QUANTAXIS/QUANTAXIS/blob/bb1fe424e4108b62a1f712b81a05cf829297a5c0/QUANTAXIS/QAMarket/QAOrder.py#L557-L572 | [
"def",
"insert_order",
"(",
"self",
",",
"order",
")",
":",
"#print(\" *>> QAOrder!insert_order {}\".format(order))",
"# QUEUED = 300 # queued 用于表示在order_queue中 实际表达的意思是订单存活 待成交",
"#order.status = ORDER_STATUS.QUEUED",
"# 🛠 todo 是为了速度快把order对象转换成 df 对象的吗？",
"#self.queue_df = self.queu... | bb1fe424e4108b62a1f712b81a05cf829297a5c0 |
train | QA_OrderQueue.pending | 600 废单 未委托成功
200 委托成功,完全交易
203 委托成功,未完全成功
300 委托队列 待成交
400 已撤单
500 服务器撤单/每日结算
订单生成(100) -- 废单(600)
订单生成(100) -- 进入待成交队列(300) -- 完全成交(200) -- 每日结算(500)-- 死亡
订单生成(100) -- 进入待成交队列(300) -- 部分成交(203) -- 未成交(300) -- 每日结算(500) -- 死亡
订单生成(100) -- 进入待成交队列... | QUANTAXIS/QAMarket/QAOrder.py | def pending(self):
'''
600 废单 未委托成功
200 委托成功,完全交易
203 委托成功,未完全成功
300 委托队列 待成交
400 已撤单
500 服务器撤单/每日结算
订单生成(100) -- 废单(600)
订单生成(100) -- 进入待成交队列(300) -- 完全成交(200) -- 每日结算(500)-- 死亡
订单生成(100) -- 进入待成交队列(300) -- 部分成交(203) -- 未成交(300) -- 每日结算(... | def pending(self):
'''
600 废单 未委托成功
200 委托成功,完全交易
203 委托成功,未完全成功
300 委托队列 待成交
400 已撤单
500 服务器撤单/每日结算
订单生成(100) -- 废单(600)
订单生成(100) -- 进入待成交队列(300) -- 完全成交(200) -- 每日结算(500)-- 死亡
订单生成(100) -- 进入待成交队列(300) -- 部分成交(203) -- 未成交(300) -- 每日结算(... | [
"600",
"废单",
"未委托成功",
"200",
"委托成功",
"完全交易",
"203",
"委托成功",
"未完全成功",
"300",
"委托队列",
"待成交",
"400",
"已撤单",
"500",
"服务器撤单",
"/",
"每日结算"
] | QUANTAXIS/QUANTAXIS | python | https://github.com/QUANTAXIS/QUANTAXIS/blob/bb1fe424e4108b62a1f712b81a05cf829297a5c0/QUANTAXIS/QAMarket/QAOrder.py#L593-L619 | [
"def",
"pending",
"(",
"self",
")",
":",
"try",
":",
"return",
"[",
"item",
"for",
"item",
"in",
"self",
".",
"order_list",
".",
"values",
"(",
")",
"if",
"item",
".",
"status",
"in",
"[",
"ORDER_STATUS",
".",
"QUEUED",
",",
"ORDER_STATUS",
".",
"NEX... | bb1fe424e4108b62a1f712b81a05cf829297a5c0 |
train | _QA_data_stock_to_fq | 使用数据库数据进行复权 | QUANTAXIS/QAData/data_fq.py | def _QA_data_stock_to_fq(bfq_data, xdxr_data, fqtype):
'使用数据库数据进行复权'
info = xdxr_data.query('category==1')
bfq_data = bfq_data.assign(if_trade=1)
if len(info) > 0:
data = pd.concat(
[
bfq_data,
info.loc[bfq_data.index[0]:bfq_data.index[-1],
... | def _QA_data_stock_to_fq(bfq_data, xdxr_data, fqtype):
'使用数据库数据进行复权'
info = xdxr_data.query('category==1')
bfq_data = bfq_data.assign(if_trade=1)
if len(info) > 0:
data = pd.concat(
[
bfq_data,
info.loc[bfq_data.index[0]:bfq_data.index[-1],
... | [
"使用数据库数据进行复权"
] | QUANTAXIS/QUANTAXIS | python | https://github.com/QUANTAXIS/QUANTAXIS/blob/bb1fe424e4108b62a1f712b81a05cf829297a5c0/QUANTAXIS/QAData/data_fq.py#L102-L176 | [
"def",
"_QA_data_stock_to_fq",
"(",
"bfq_data",
",",
"xdxr_data",
",",
"fqtype",
")",
":",
"info",
"=",
"xdxr_data",
".",
"query",
"(",
"'category==1'",
")",
"bfq_data",
"=",
"bfq_data",
".",
"assign",
"(",
"if_trade",
"=",
"1",
")",
"if",
"len",
"(",
"i... | bb1fe424e4108b62a1f712b81a05cf829297a5c0 |
train | QA_data_stock_to_fq | 股票 日线/分钟线 动态复权接口 | QUANTAXIS/QAData/data_fq.py | def QA_data_stock_to_fq(__data, type_='01'):
def __QA_fetch_stock_xdxr(
code,
format_='pd',
collections=DATABASE.stock_xdxr
):
'获取股票除权信息/数据库'
try:
data = pd.DataFrame(
[item for item in collections.find({'code': code})]
... | def QA_data_stock_to_fq(__data, type_='01'):
def __QA_fetch_stock_xdxr(
code,
format_='pd',
collections=DATABASE.stock_xdxr
):
'获取股票除权信息/数据库'
try:
data = pd.DataFrame(
[item for item in collections.find({'code': code})]
... | [
"股票",
"日线",
"/",
"分钟线",
"动态复权接口"
] | QUANTAXIS/QUANTAXIS | python | https://github.com/QUANTAXIS/QUANTAXIS/blob/bb1fe424e4108b62a1f712b81a05cf829297a5c0/QUANTAXIS/QAData/data_fq.py#L179-L228 | [
"def",
"QA_data_stock_to_fq",
"(",
"__data",
",",
"type_",
"=",
"'01'",
")",
":",
"def",
"__QA_fetch_stock_xdxr",
"(",
"code",
",",
"format_",
"=",
"'pd'",
",",
"collections",
"=",
"DATABASE",
".",
"stock_xdxr",
")",
":",
"'获取股票除权信息/数据库'",
"try",
":",
"data"... | bb1fe424e4108b62a1f712b81a05cf829297a5c0 |
train | ChatBot.get_response | Return the bot's response based on the input.
:param statement: An statement object or string.
:returns: A response to the input.
:rtype: Statement
:param additional_response_selection_parameters: Parameters to pass to the
chat bot's logic adapters to control response selec... | chatterbot/chatterbot.py | def get_response(self, statement=None, **kwargs):
"""
Return the bot's response based on the input.
:param statement: An statement object or string.
:returns: A response to the input.
:rtype: Statement
:param additional_response_selection_parameters: Parameters to pass ... | def get_response(self, statement=None, **kwargs):
"""
Return the bot's response based on the input.
:param statement: An statement object or string.
:returns: A response to the input.
:rtype: Statement
:param additional_response_selection_parameters: Parameters to pass ... | [
"Return",
"the",
"bot",
"s",
"response",
"based",
"on",
"the",
"input",
"."
] | gunthercox/ChatterBot | python | https://github.com/gunthercox/ChatterBot/blob/1a03dcb45cba7bdc24d3db5e750582e0cb1518e2/chatterbot/chatterbot.py#L57-L133 | [
"def",
"get_response",
"(",
"self",
",",
"statement",
"=",
"None",
",",
"*",
"*",
"kwargs",
")",
":",
"Statement",
"=",
"self",
".",
"storage",
".",
"get_object",
"(",
"'statement'",
")",
"additional_response_selection_parameters",
"=",
"kwargs",
".",
"pop",
... | 1a03dcb45cba7bdc24d3db5e750582e0cb1518e2 |
train | ChatBot.generate_response | Return a response based on a given input statement.
:param input_statement: The input statement to be processed. | chatterbot/chatterbot.py | def generate_response(self, input_statement, additional_response_selection_parameters=None):
"""
Return a response based on a given input statement.
:param input_statement: The input statement to be processed.
"""
Statement = self.storage.get_object('statement')
results... | def generate_response(self, input_statement, additional_response_selection_parameters=None):
"""
Return a response based on a given input statement.
:param input_statement: The input statement to be processed.
"""
Statement = self.storage.get_object('statement')
results... | [
"Return",
"a",
"response",
"based",
"on",
"a",
"given",
"input",
"statement",
"."
] | gunthercox/ChatterBot | python | https://github.com/gunthercox/ChatterBot/blob/1a03dcb45cba7bdc24d3db5e750582e0cb1518e2/chatterbot/chatterbot.py#L135-L206 | [
"def",
"generate_response",
"(",
"self",
",",
"input_statement",
",",
"additional_response_selection_parameters",
"=",
"None",
")",
":",
"Statement",
"=",
"self",
".",
"storage",
".",
"get_object",
"(",
"'statement'",
")",
"results",
"=",
"[",
"]",
"result",
"="... | 1a03dcb45cba7bdc24d3db5e750582e0cb1518e2 |
train | ChatBot.learn_response | Learn that the statement provided is a valid response. | chatterbot/chatterbot.py | def learn_response(self, statement, previous_statement=None):
"""
Learn that the statement provided is a valid response.
"""
if not previous_statement:
previous_statement = statement.in_response_to
if not previous_statement:
previous_statement = self.get_... | def learn_response(self, statement, previous_statement=None):
"""
Learn that the statement provided is a valid response.
"""
if not previous_statement:
previous_statement = statement.in_response_to
if not previous_statement:
previous_statement = self.get_... | [
"Learn",
"that",
"the",
"statement",
"provided",
"is",
"a",
"valid",
"response",
"."
] | gunthercox/ChatterBot | python | https://github.com/gunthercox/ChatterBot/blob/1a03dcb45cba7bdc24d3db5e750582e0cb1518e2/chatterbot/chatterbot.py#L208-L233 | [
"def",
"learn_response",
"(",
"self",
",",
"statement",
",",
"previous_statement",
"=",
"None",
")",
":",
"if",
"not",
"previous_statement",
":",
"previous_statement",
"=",
"statement",
".",
"in_response_to",
"if",
"not",
"previous_statement",
":",
"previous_stateme... | 1a03dcb45cba7bdc24d3db5e750582e0cb1518e2 |
train | StatementMixin.serialize | :returns: A dictionary representation of the statement object.
:rtype: dict | chatterbot/conversation.py | def serialize(self):
"""
:returns: A dictionary representation of the statement object.
:rtype: dict
"""
data = {}
for field_name in self.get_statement_field_names():
format_method = getattr(self, 'get_{}'.format(
field_name
), Non... | def serialize(self):
"""
:returns: A dictionary representation of the statement object.
:rtype: dict
"""
data = {}
for field_name in self.get_statement_field_names():
format_method = getattr(self, 'get_{}'.format(
field_name
), Non... | [
":",
"returns",
":",
"A",
"dictionary",
"representation",
"of",
"the",
"statement",
"object",
".",
":",
"rtype",
":",
"dict"
] | gunthercox/ChatterBot | python | https://github.com/gunthercox/ChatterBot/blob/1a03dcb45cba7bdc24d3db5e750582e0cb1518e2/chatterbot/conversation.py#L44-L61 | [
"def",
"serialize",
"(",
"self",
")",
":",
"data",
"=",
"{",
"}",
"for",
"field_name",
"in",
"self",
".",
"get_statement_field_names",
"(",
")",
":",
"format_method",
"=",
"getattr",
"(",
"self",
",",
"'get_{}'",
".",
"format",
"(",
"field_name",
")",
",... | 1a03dcb45cba7bdc24d3db5e750582e0cb1518e2 |
train | import_module | Imports the specified module based on the
dot notated import path for the module. | chatterbot/utils.py | def import_module(dotted_path):
"""
Imports the specified module based on the
dot notated import path for the module.
"""
import importlib
module_parts = dotted_path.split('.')
module_path = '.'.join(module_parts[:-1])
module = importlib.import_module(module_path)
return getattr(mo... | def import_module(dotted_path):
"""
Imports the specified module based on the
dot notated import path for the module.
"""
import importlib
module_parts = dotted_path.split('.')
module_path = '.'.join(module_parts[:-1])
module = importlib.import_module(module_path)
return getattr(mo... | [
"Imports",
"the",
"specified",
"module",
"based",
"on",
"the",
"dot",
"notated",
"import",
"path",
"for",
"the",
"module",
"."
] | gunthercox/ChatterBot | python | https://github.com/gunthercox/ChatterBot/blob/1a03dcb45cba7bdc24d3db5e750582e0cb1518e2/chatterbot/utils.py#L6-L17 | [
"def",
"import_module",
"(",
"dotted_path",
")",
":",
"import",
"importlib",
"module_parts",
"=",
"dotted_path",
".",
"split",
"(",
"'.'",
")",
"module_path",
"=",
"'.'",
".",
"join",
"(",
"module_parts",
"[",
":",
"-",
"1",
"]",
")",
"module",
"=",
"imp... | 1a03dcb45cba7bdc24d3db5e750582e0cb1518e2 |
train | initialize_class | :param data: A string or dictionary containing a import_path attribute. | chatterbot/utils.py | def initialize_class(data, *args, **kwargs):
"""
:param data: A string or dictionary containing a import_path attribute.
"""
if isinstance(data, dict):
import_path = data.get('import_path')
data.update(kwargs)
Class = import_module(import_path)
return Class(*args, **data... | def initialize_class(data, *args, **kwargs):
"""
:param data: A string or dictionary containing a import_path attribute.
"""
if isinstance(data, dict):
import_path = data.get('import_path')
data.update(kwargs)
Class = import_module(import_path)
return Class(*args, **data... | [
":",
"param",
"data",
":",
"A",
"string",
"or",
"dictionary",
"containing",
"a",
"import_path",
"attribute",
"."
] | gunthercox/ChatterBot | python | https://github.com/gunthercox/ChatterBot/blob/1a03dcb45cba7bdc24d3db5e750582e0cb1518e2/chatterbot/utils.py#L20-L33 | [
"def",
"initialize_class",
"(",
"data",
",",
"*",
"args",
",",
"*",
"*",
"kwargs",
")",
":",
"if",
"isinstance",
"(",
"data",
",",
"dict",
")",
":",
"import_path",
"=",
"data",
".",
"get",
"(",
"'import_path'",
")",
"data",
".",
"update",
"(",
"kwarg... | 1a03dcb45cba7bdc24d3db5e750582e0cb1518e2 |
train | validate_adapter_class | Raises an exception if validate_class is not a
subclass of adapter_class.
:param validate_class: The class to be validated.
:type validate_class: class
:param adapter_class: The class type to check against.
:type adapter_class: class
:raises: Adapter.InvalidAdapterTypeException | chatterbot/utils.py | def validate_adapter_class(validate_class, adapter_class):
"""
Raises an exception if validate_class is not a
subclass of adapter_class.
:param validate_class: The class to be validated.
:type validate_class: class
:param adapter_class: The class type to check against.
:type adapter_class:... | def validate_adapter_class(validate_class, adapter_class):
"""
Raises an exception if validate_class is not a
subclass of adapter_class.
:param validate_class: The class to be validated.
:type validate_class: class
:param adapter_class: The class type to check against.
:type adapter_class:... | [
"Raises",
"an",
"exception",
"if",
"validate_class",
"is",
"not",
"a",
"subclass",
"of",
"adapter_class",
"."
] | gunthercox/ChatterBot | python | https://github.com/gunthercox/ChatterBot/blob/1a03dcb45cba7bdc24d3db5e750582e0cb1518e2/chatterbot/utils.py#L36-L70 | [
"def",
"validate_adapter_class",
"(",
"validate_class",
",",
"adapter_class",
")",
":",
"from",
"chatterbot",
".",
"adapters",
"import",
"Adapter",
"# If a dictionary was passed in, check if it has an import_path attribute",
"if",
"isinstance",
"(",
"validate_class",
",",
"di... | 1a03dcb45cba7bdc24d3db5e750582e0cb1518e2 |
train | get_response_time | Returns the amount of time taken for a given
chat bot to return a response.
:param chatbot: A chat bot instance.
:type chatbot: ChatBot
:returns: The response time in seconds.
:rtype: float | chatterbot/utils.py | def get_response_time(chatbot, statement='Hello'):
"""
Returns the amount of time taken for a given
chat bot to return a response.
:param chatbot: A chat bot instance.
:type chatbot: ChatBot
:returns: The response time in seconds.
:rtype: float
"""
import time
start_time = tim... | def get_response_time(chatbot, statement='Hello'):
"""
Returns the amount of time taken for a given
chat bot to return a response.
:param chatbot: A chat bot instance.
:type chatbot: ChatBot
:returns: The response time in seconds.
:rtype: float
"""
import time
start_time = tim... | [
"Returns",
"the",
"amount",
"of",
"time",
"taken",
"for",
"a",
"given",
"chat",
"bot",
"to",
"return",
"a",
"response",
"."
] | gunthercox/ChatterBot | python | https://github.com/gunthercox/ChatterBot/blob/1a03dcb45cba7bdc24d3db5e750582e0cb1518e2/chatterbot/utils.py#L73-L90 | [
"def",
"get_response_time",
"(",
"chatbot",
",",
"statement",
"=",
"'Hello'",
")",
":",
"import",
"time",
"start_time",
"=",
"time",
".",
"time",
"(",
")",
"chatbot",
".",
"get_response",
"(",
"statement",
")",
"return",
"time",
".",
"time",
"(",
")",
"-... | 1a03dcb45cba7bdc24d3db5e750582e0cb1518e2 |
train | print_progress_bar | Print progress bar
:param description: Training description
:type description: str
:param iteration_counter: Incremental counter
:type iteration_counter: int
:param total_items: total number items
:type total_items: int
:param progress_bar_length: Progress bar length
:type progress_ba... | chatterbot/utils.py | def print_progress_bar(description, iteration_counter, total_items, progress_bar_length=20):
"""
Print progress bar
:param description: Training description
:type description: str
:param iteration_counter: Incremental counter
:type iteration_counter: int
:param total_items: total number it... | def print_progress_bar(description, iteration_counter, total_items, progress_bar_length=20):
"""
Print progress bar
:param description: Training description
:type description: str
:param iteration_counter: Incremental counter
:type iteration_counter: int
:param total_items: total number it... | [
"Print",
"progress",
"bar",
":",
"param",
"description",
":",
"Training",
"description",
":",
"type",
"description",
":",
"str"
] | gunthercox/ChatterBot | python | https://github.com/gunthercox/ChatterBot/blob/1a03dcb45cba7bdc24d3db5e750582e0cb1518e2/chatterbot/utils.py#L93-L119 | [
"def",
"print_progress_bar",
"(",
"description",
",",
"iteration_counter",
",",
"total_items",
",",
"progress_bar_length",
"=",
"20",
")",
":",
"import",
"sys",
"percent",
"=",
"float",
"(",
"iteration_counter",
")",
"/",
"total_items",
"hashes",
"=",
"'#'",
"*"... | 1a03dcb45cba7bdc24d3db5e750582e0cb1518e2 |
train | UnitConversion.get_unit | Get the first match unit metric object supported by pint library
given a variation of unit metric names (Ex:['HOUR', 'hour']).
:param ureg: unit registry which units are defined and handled
:type ureg: pint.registry.UnitRegistry object
:param unit_variations: A list of strings with nam... | chatterbot/logic/unit_conversion.py | def get_unit(self, ureg, unit_variations):
"""
Get the first match unit metric object supported by pint library
given a variation of unit metric names (Ex:['HOUR', 'hour']).
:param ureg: unit registry which units are defined and handled
:type ureg: pint.registry.UnitRegistry obj... | def get_unit(self, ureg, unit_variations):
"""
Get the first match unit metric object supported by pint library
given a variation of unit metric names (Ex:['HOUR', 'hour']).
:param ureg: unit registry which units are defined and handled
:type ureg: pint.registry.UnitRegistry obj... | [
"Get",
"the",
"first",
"match",
"unit",
"metric",
"object",
"supported",
"by",
"pint",
"library",
"given",
"a",
"variation",
"of",
"unit",
"metric",
"names",
"(",
"Ex",
":",
"[",
"HOUR",
"hour",
"]",
")",
"."
] | gunthercox/ChatterBot | python | https://github.com/gunthercox/ChatterBot/blob/1a03dcb45cba7bdc24d3db5e750582e0cb1518e2/chatterbot/logic/unit_conversion.py#L67-L83 | [
"def",
"get_unit",
"(",
"self",
",",
"ureg",
",",
"unit_variations",
")",
":",
"for",
"unit",
"in",
"unit_variations",
":",
"try",
":",
"return",
"getattr",
"(",
"ureg",
",",
"unit",
")",
"except",
"Exception",
":",
"continue",
"return",
"None"
] | 1a03dcb45cba7bdc24d3db5e750582e0cb1518e2 |
train | UnitConversion.get_valid_units | Returns the firt match `pint.unit.Unit` object for from_unit and
target_unit strings from a possible variation of metric unit names
supported by pint library.
:param ureg: unit registry which units are defined and handled
:type ureg: `pint.registry.UnitRegistry`
:param from_uni... | chatterbot/logic/unit_conversion.py | def get_valid_units(self, ureg, from_unit, target_unit):
"""
Returns the firt match `pint.unit.Unit` object for from_unit and
target_unit strings from a possible variation of metric unit names
supported by pint library.
:param ureg: unit registry which units are defined and hand... | def get_valid_units(self, ureg, from_unit, target_unit):
"""
Returns the firt match `pint.unit.Unit` object for from_unit and
target_unit strings from a possible variation of metric unit names
supported by pint library.
:param ureg: unit registry which units are defined and hand... | [
"Returns",
"the",
"firt",
"match",
"pint",
".",
"unit",
".",
"Unit",
"object",
"for",
"from_unit",
"and",
"target_unit",
"strings",
"from",
"a",
"possible",
"variation",
"of",
"metric",
"unit",
"names",
"supported",
"by",
"pint",
"library",
"."
] | gunthercox/ChatterBot | python | https://github.com/gunthercox/ChatterBot/blob/1a03dcb45cba7bdc24d3db5e750582e0cb1518e2/chatterbot/logic/unit_conversion.py#L85-L104 | [
"def",
"get_valid_units",
"(",
"self",
",",
"ureg",
",",
"from_unit",
",",
"target_unit",
")",
":",
"from_unit_variations",
"=",
"[",
"from_unit",
".",
"lower",
"(",
")",
",",
"from_unit",
".",
"upper",
"(",
")",
"]",
"target_unit_variations",
"=",
"[",
"t... | 1a03dcb45cba7bdc24d3db5e750582e0cb1518e2 |
train | UnitConversion.handle_matches | Returns a response statement from a matched input statement.
:param match: It is a valid matched pattern from the input statement
:type: `_sre.SRE_Match` | chatterbot/logic/unit_conversion.py | def handle_matches(self, match):
"""
Returns a response statement from a matched input statement.
:param match: It is a valid matched pattern from the input statement
:type: `_sre.SRE_Match`
"""
response = Statement(text='')
from_parsed = match.group("from")
... | def handle_matches(self, match):
"""
Returns a response statement from a matched input statement.
:param match: It is a valid matched pattern from the input statement
:type: `_sre.SRE_Match`
"""
response = Statement(text='')
from_parsed = match.group("from")
... | [
"Returns",
"a",
"response",
"statement",
"from",
"a",
"matched",
"input",
"statement",
"."
] | gunthercox/ChatterBot | python | https://github.com/gunthercox/ChatterBot/blob/1a03dcb45cba7bdc24d3db5e750582e0cb1518e2/chatterbot/logic/unit_conversion.py#L106-L135 | [
"def",
"handle_matches",
"(",
"self",
",",
"match",
")",
":",
"response",
"=",
"Statement",
"(",
"text",
"=",
"''",
")",
"from_parsed",
"=",
"match",
".",
"group",
"(",
"\"from\"",
")",
"target_parsed",
"=",
"match",
".",
"group",
"(",
"\"target\"",
")",... | 1a03dcb45cba7bdc24d3db5e750582e0cb1518e2 |
train | LogicAdapter.get_default_response | This method is called when a logic adapter is unable to generate any
other meaningful response. | chatterbot/logic/logic_adapter.py | def get_default_response(self, input_statement):
"""
This method is called when a logic adapter is unable to generate any
other meaningful response.
"""
from random import choice
if self.default_responses:
response = choice(self.default_responses)
els... | def get_default_response(self, input_statement):
"""
This method is called when a logic adapter is unable to generate any
other meaningful response.
"""
from random import choice
if self.default_responses:
response = choice(self.default_responses)
els... | [
"This",
"method",
"is",
"called",
"when",
"a",
"logic",
"adapter",
"is",
"unable",
"to",
"generate",
"any",
"other",
"meaningful",
"response",
"."
] | gunthercox/ChatterBot | python | https://github.com/gunthercox/ChatterBot/blob/1a03dcb45cba7bdc24d3db5e750582e0cb1518e2/chatterbot/logic/logic_adapter.py#L103-L125 | [
"def",
"get_default_response",
"(",
"self",
",",
"input_statement",
")",
":",
"from",
"random",
"import",
"choice",
"if",
"self",
".",
"default_responses",
":",
"response",
"=",
"choice",
"(",
"self",
".",
"default_responses",
")",
"else",
":",
"try",
":",
"... | 1a03dcb45cba7bdc24d3db5e750582e0cb1518e2 |
train | TimeLogicAdapter.time_question_features | Provide an analysis of significant features in the string. | chatterbot/logic/time_adapter.py | def time_question_features(self, text):
"""
Provide an analysis of significant features in the string.
"""
features = {}
# A list of all words from the known sentences
all_words = " ".join(self.positive + self.negative).split()
# A list of the first word in each... | def time_question_features(self, text):
"""
Provide an analysis of significant features in the string.
"""
features = {}
# A list of all words from the known sentences
all_words = " ".join(self.positive + self.negative).split()
# A list of the first word in each... | [
"Provide",
"an",
"analysis",
"of",
"significant",
"features",
"in",
"the",
"string",
"."
] | gunthercox/ChatterBot | python | https://github.com/gunthercox/ChatterBot/blob/1a03dcb45cba7bdc24d3db5e750582e0cb1518e2/chatterbot/logic/time_adapter.py#L56-L82 | [
"def",
"time_question_features",
"(",
"self",
",",
"text",
")",
":",
"features",
"=",
"{",
"}",
"# A list of all words from the known sentences",
"all_words",
"=",
"\" \"",
".",
"join",
"(",
"self",
".",
"positive",
"+",
"self",
".",
"negative",
")",
".",
"spl... | 1a03dcb45cba7bdc24d3db5e750582e0cb1518e2 |
train | MathematicalEvaluation.can_process | Determines whether it is appropriate for this
adapter to respond to the user input. | chatterbot/logic/mathematical_evaluation.py | def can_process(self, statement):
"""
Determines whether it is appropriate for this
adapter to respond to the user input.
"""
response = self.process(statement)
self.cache[statement.text] = response
return response.confidence == 1 | def can_process(self, statement):
"""
Determines whether it is appropriate for this
adapter to respond to the user input.
"""
response = self.process(statement)
self.cache[statement.text] = response
return response.confidence == 1 | [
"Determines",
"whether",
"it",
"is",
"appropriate",
"for",
"this",
"adapter",
"to",
"respond",
"to",
"the",
"user",
"input",
"."
] | gunthercox/ChatterBot | python | https://github.com/gunthercox/ChatterBot/blob/1a03dcb45cba7bdc24d3db5e750582e0cb1518e2/chatterbot/logic/mathematical_evaluation.py#L28-L35 | [
"def",
"can_process",
"(",
"self",
",",
"statement",
")",
":",
"response",
"=",
"self",
".",
"process",
"(",
"statement",
")",
"self",
".",
"cache",
"[",
"statement",
".",
"text",
"]",
"=",
"response",
"return",
"response",
".",
"confidence",
"==",
"1"
] | 1a03dcb45cba7bdc24d3db5e750582e0cb1518e2 |
train | MathematicalEvaluation.process | Takes a statement string.
Returns the equation from the statement with the mathematical terms solved. | chatterbot/logic/mathematical_evaluation.py | def process(self, statement, additional_response_selection_parameters=None):
"""
Takes a statement string.
Returns the equation from the statement with the mathematical terms solved.
"""
from mathparse import mathparse
input_text = statement.text
# Use the resul... | def process(self, statement, additional_response_selection_parameters=None):
"""
Takes a statement string.
Returns the equation from the statement with the mathematical terms solved.
"""
from mathparse import mathparse
input_text = statement.text
# Use the resul... | [
"Takes",
"a",
"statement",
"string",
".",
"Returns",
"the",
"equation",
"from",
"the",
"statement",
"with",
"the",
"mathematical",
"terms",
"solved",
"."
] | gunthercox/ChatterBot | python | https://github.com/gunthercox/ChatterBot/blob/1a03dcb45cba7bdc24d3db5e750582e0cb1518e2/chatterbot/logic/mathematical_evaluation.py#L37-L67 | [
"def",
"process",
"(",
"self",
",",
"statement",
",",
"additional_response_selection_parameters",
"=",
"None",
")",
":",
"from",
"mathparse",
"import",
"mathparse",
"input_text",
"=",
"statement",
".",
"text",
"# Use the result cached by the process method if it exists",
... | 1a03dcb45cba7bdc24d3db5e750582e0cb1518e2 |
train | get_recent_repeated_responses | A filter that eliminates possibly repetitive responses to prevent
a chat bot from repeating statements that it has recently said. | chatterbot/filters.py | def get_recent_repeated_responses(chatbot, conversation, sample=10, threshold=3, quantity=3):
"""
A filter that eliminates possibly repetitive responses to prevent
a chat bot from repeating statements that it has recently said.
"""
from collections import Counter
# Get the most recent statement... | def get_recent_repeated_responses(chatbot, conversation, sample=10, threshold=3, quantity=3):
"""
A filter that eliminates possibly repetitive responses to prevent
a chat bot from repeating statements that it has recently said.
"""
from collections import Counter
# Get the most recent statement... | [
"A",
"filter",
"that",
"eliminates",
"possibly",
"repetitive",
"responses",
"to",
"prevent",
"a",
"chat",
"bot",
"from",
"repeating",
"statements",
"that",
"it",
"has",
"recently",
"said",
"."
] | gunthercox/ChatterBot | python | https://github.com/gunthercox/ChatterBot/blob/1a03dcb45cba7bdc24d3db5e750582e0cb1518e2/chatterbot/filters.py#L1-L26 | [
"def",
"get_recent_repeated_responses",
"(",
"chatbot",
",",
"conversation",
",",
"sample",
"=",
"10",
",",
"threshold",
"=",
"3",
",",
"quantity",
"=",
"3",
")",
":",
"from",
"collections",
"import",
"Counter",
"# Get the most recent statements from the conversation"... | 1a03dcb45cba7bdc24d3db5e750582e0cb1518e2 |
train | get_most_frequent_response | :param input_statement: A statement, that closely matches an input to the chat bot.
:type input_statement: Statement
:param response_list: A list of statement options to choose a response from.
:type response_list: list
:param storage: An instance of a storage adapter to allow the response selection
... | chatterbot/response_selection.py | def get_most_frequent_response(input_statement, response_list, storage=None):
"""
:param input_statement: A statement, that closely matches an input to the chat bot.
:type input_statement: Statement
:param response_list: A list of statement options to choose a response from.
:type response_list: li... | def get_most_frequent_response(input_statement, response_list, storage=None):
"""
:param input_statement: A statement, that closely matches an input to the chat bot.
:type input_statement: Statement
:param response_list: A list of statement options to choose a response from.
:type response_list: li... | [
":",
"param",
"input_statement",
":",
"A",
"statement",
"that",
"closely",
"matches",
"an",
"input",
"to",
"the",
"chat",
"bot",
".",
":",
"type",
"input_statement",
":",
"Statement"
] | gunthercox/ChatterBot | python | https://github.com/gunthercox/ChatterBot/blob/1a03dcb45cba7bdc24d3db5e750582e0cb1518e2/chatterbot/response_selection.py#L8-L41 | [
"def",
"get_most_frequent_response",
"(",
"input_statement",
",",
"response_list",
",",
"storage",
"=",
"None",
")",
":",
"matching_response",
"=",
"None",
"occurrence_count",
"=",
"-",
"1",
"logger",
"=",
"logging",
".",
"getLogger",
"(",
"__name__",
")",
"logg... | 1a03dcb45cba7bdc24d3db5e750582e0cb1518e2 |
train | get_first_response | :param input_statement: A statement, that closely matches an input to the chat bot.
:type input_statement: Statement
:param response_list: A list of statement options to choose a response from.
:type response_list: list
:param storage: An instance of a storage adapter to allow the response selection
... | chatterbot/response_selection.py | def get_first_response(input_statement, response_list, storage=None):
"""
:param input_statement: A statement, that closely matches an input to the chat bot.
:type input_statement: Statement
:param response_list: A list of statement options to choose a response from.
:type response_list: list
... | def get_first_response(input_statement, response_list, storage=None):
"""
:param input_statement: A statement, that closely matches an input to the chat bot.
:type input_statement: Statement
:param response_list: A list of statement options to choose a response from.
:type response_list: list
... | [
":",
"param",
"input_statement",
":",
"A",
"statement",
"that",
"closely",
"matches",
"an",
"input",
"to",
"the",
"chat",
"bot",
".",
":",
"type",
"input_statement",
":",
"Statement"
] | gunthercox/ChatterBot | python | https://github.com/gunthercox/ChatterBot/blob/1a03dcb45cba7bdc24d3db5e750582e0cb1518e2/chatterbot/response_selection.py#L44-L63 | [
"def",
"get_first_response",
"(",
"input_statement",
",",
"response_list",
",",
"storage",
"=",
"None",
")",
":",
"logger",
"=",
"logging",
".",
"getLogger",
"(",
"__name__",
")",
"logger",
".",
"info",
"(",
"'Selecting first response from list of {} options.'",
"."... | 1a03dcb45cba7bdc24d3db5e750582e0cb1518e2 |
train | get_random_response | :param input_statement: A statement, that closely matches an input to the chat bot.
:type input_statement: Statement
:param response_list: A list of statement options to choose a response from.
:type response_list: list
:param storage: An instance of a storage adapter to allow the response selection
... | chatterbot/response_selection.py | def get_random_response(input_statement, response_list, storage=None):
"""
:param input_statement: A statement, that closely matches an input to the chat bot.
:type input_statement: Statement
:param response_list: A list of statement options to choose a response from.
:type response_list: list
... | def get_random_response(input_statement, response_list, storage=None):
"""
:param input_statement: A statement, that closely matches an input to the chat bot.
:type input_statement: Statement
:param response_list: A list of statement options to choose a response from.
:type response_list: list
... | [
":",
"param",
"input_statement",
":",
"A",
"statement",
"that",
"closely",
"matches",
"an",
"input",
"to",
"the",
"chat",
"bot",
".",
":",
"type",
"input_statement",
":",
"Statement"
] | gunthercox/ChatterBot | python | https://github.com/gunthercox/ChatterBot/blob/1a03dcb45cba7bdc24d3db5e750582e0cb1518e2/chatterbot/response_selection.py#L66-L86 | [
"def",
"get_random_response",
"(",
"input_statement",
",",
"response_list",
",",
"storage",
"=",
"None",
")",
":",
"from",
"random",
"import",
"choice",
"logger",
"=",
"logging",
".",
"getLogger",
"(",
"__name__",
")",
"logger",
".",
"info",
"(",
"'Selecting a... | 1a03dcb45cba7bdc24d3db5e750582e0cb1518e2 |
train | LevenshteinDistance.compare | Compare the two input statements.
:return: The percent of similarity between the text of the statements.
:rtype: float | chatterbot/comparisons.py | def compare(self, statement_a, statement_b):
"""
Compare the two input statements.
:return: The percent of similarity between the text of the statements.
:rtype: float
"""
# Return 0 if either statement has a falsy text value
if not statement_a.text or not state... | def compare(self, statement_a, statement_b):
"""
Compare the two input statements.
:return: The percent of similarity between the text of the statements.
:rtype: float
"""
# Return 0 if either statement has a falsy text value
if not statement_a.text or not state... | [
"Compare",
"the",
"two",
"input",
"statements",
"."
] | gunthercox/ChatterBot | python | https://github.com/gunthercox/ChatterBot/blob/1a03dcb45cba7bdc24d3db5e750582e0cb1518e2/chatterbot/comparisons.py#L32-L57 | [
"def",
"compare",
"(",
"self",
",",
"statement_a",
",",
"statement_b",
")",
":",
"# Return 0 if either statement has a falsy text value",
"if",
"not",
"statement_a",
".",
"text",
"or",
"not",
"statement_b",
".",
"text",
":",
"return",
"0",
"# Get the lowercase version... | 1a03dcb45cba7bdc24d3db5e750582e0cb1518e2 |
train | SpacySimilarity.compare | Compare the two input statements.
:return: The percent of similarity between the closest synset distance.
:rtype: float | chatterbot/comparisons.py | def compare(self, statement_a, statement_b):
"""
Compare the two input statements.
:return: The percent of similarity between the closest synset distance.
:rtype: float
"""
document_a = self.nlp(statement_a.text)
document_b = self.nlp(statement_b.text)
r... | def compare(self, statement_a, statement_b):
"""
Compare the two input statements.
:return: The percent of similarity between the closest synset distance.
:rtype: float
"""
document_a = self.nlp(statement_a.text)
document_b = self.nlp(statement_b.text)
r... | [
"Compare",
"the",
"two",
"input",
"statements",
"."
] | gunthercox/ChatterBot | python | https://github.com/gunthercox/ChatterBot/blob/1a03dcb45cba7bdc24d3db5e750582e0cb1518e2/chatterbot/comparisons.py#L70-L80 | [
"def",
"compare",
"(",
"self",
",",
"statement_a",
",",
"statement_b",
")",
":",
"document_a",
"=",
"self",
".",
"nlp",
"(",
"statement_a",
".",
"text",
")",
"document_b",
"=",
"self",
".",
"nlp",
"(",
"statement_b",
".",
"text",
")",
"return",
"document... | 1a03dcb45cba7bdc24d3db5e750582e0cb1518e2 |
train | JaccardSimilarity.compare | Return the calculated similarity of two
statements based on the Jaccard index. | chatterbot/comparisons.py | def compare(self, statement_a, statement_b):
"""
Return the calculated similarity of two
statements based on the Jaccard index.
"""
# Make both strings lowercase
document_a = self.nlp(statement_a.text.lower())
document_b = self.nlp(statement_b.text.lower())
... | def compare(self, statement_a, statement_b):
"""
Return the calculated similarity of two
statements based on the Jaccard index.
"""
# Make both strings lowercase
document_a = self.nlp(statement_a.text.lower())
document_b = self.nlp(statement_b.text.lower())
... | [
"Return",
"the",
"calculated",
"similarity",
"of",
"two",
"statements",
"based",
"on",
"the",
"Jaccard",
"index",
"."
] | gunthercox/ChatterBot | python | https://github.com/gunthercox/ChatterBot/blob/1a03dcb45cba7bdc24d3db5e750582e0cb1518e2/chatterbot/comparisons.py#L114-L135 | [
"def",
"compare",
"(",
"self",
",",
"statement_a",
",",
"statement_b",
")",
":",
"# Make both strings lowercase",
"document_a",
"=",
"self",
".",
"nlp",
"(",
"statement_a",
".",
"text",
".",
"lower",
"(",
")",
")",
"document_b",
"=",
"self",
".",
"nlp",
"(... | 1a03dcb45cba7bdc24d3db5e750582e0cb1518e2 |
train | MongoDatabaseAdapter.get_statement_model | Return the class for the statement model. | chatterbot/storage/mongodb.py | def get_statement_model(self):
"""
Return the class for the statement model.
"""
from chatterbot.conversation import Statement
# Create a storage-aware statement
statement = Statement
statement.storage = self
return statement | def get_statement_model(self):
"""
Return the class for the statement model.
"""
from chatterbot.conversation import Statement
# Create a storage-aware statement
statement = Statement
statement.storage = self
return statement | [
"Return",
"the",
"class",
"for",
"the",
"statement",
"model",
"."
] | gunthercox/ChatterBot | python | https://github.com/gunthercox/ChatterBot/blob/1a03dcb45cba7bdc24d3db5e750582e0cb1518e2/chatterbot/storage/mongodb.py#L44-L54 | [
"def",
"get_statement_model",
"(",
"self",
")",
":",
"from",
"chatterbot",
".",
"conversation",
"import",
"Statement",
"# Create a storage-aware statement",
"statement",
"=",
"Statement",
"statement",
".",
"storage",
"=",
"self",
"return",
"statement"
] | 1a03dcb45cba7bdc24d3db5e750582e0cb1518e2 |
train | MongoDatabaseAdapter.mongo_to_object | Return Statement object when given data
returned from Mongo DB. | chatterbot/storage/mongodb.py | def mongo_to_object(self, statement_data):
"""
Return Statement object when given data
returned from Mongo DB.
"""
Statement = self.get_model('statement')
statement_data['id'] = statement_data['_id']
return Statement(**statement_data) | def mongo_to_object(self, statement_data):
"""
Return Statement object when given data
returned from Mongo DB.
"""
Statement = self.get_model('statement')
statement_data['id'] = statement_data['_id']
return Statement(**statement_data) | [
"Return",
"Statement",
"object",
"when",
"given",
"data",
"returned",
"from",
"Mongo",
"DB",
"."
] | gunthercox/ChatterBot | python | https://github.com/gunthercox/ChatterBot/blob/1a03dcb45cba7bdc24d3db5e750582e0cb1518e2/chatterbot/storage/mongodb.py#L59-L68 | [
"def",
"mongo_to_object",
"(",
"self",
",",
"statement_data",
")",
":",
"Statement",
"=",
"self",
".",
"get_model",
"(",
"'statement'",
")",
"statement_data",
"[",
"'id'",
"]",
"=",
"statement_data",
"[",
"'_id'",
"]",
"return",
"Statement",
"(",
"*",
"*",
... | 1a03dcb45cba7bdc24d3db5e750582e0cb1518e2 |
train | MongoDatabaseAdapter.filter | Returns a list of statements in the database
that match the parameters specified. | chatterbot/storage/mongodb.py | def filter(self, **kwargs):
"""
Returns a list of statements in the database
that match the parameters specified.
"""
import pymongo
page_size = kwargs.pop('page_size', 1000)
order_by = kwargs.pop('order_by', None)
tags = kwargs.pop('tags', [])
ex... | def filter(self, **kwargs):
"""
Returns a list of statements in the database
that match the parameters specified.
"""
import pymongo
page_size = kwargs.pop('page_size', 1000)
order_by = kwargs.pop('order_by', None)
tags = kwargs.pop('tags', [])
ex... | [
"Returns",
"a",
"list",
"of",
"statements",
"in",
"the",
"database",
"that",
"match",
"the",
"parameters",
"specified",
"."
] | gunthercox/ChatterBot | python | https://github.com/gunthercox/ChatterBot/blob/1a03dcb45cba7bdc24d3db5e750582e0cb1518e2/chatterbot/storage/mongodb.py#L70-L149 | [
"def",
"filter",
"(",
"self",
",",
"*",
"*",
"kwargs",
")",
":",
"import",
"pymongo",
"page_size",
"=",
"kwargs",
".",
"pop",
"(",
"'page_size'",
",",
"1000",
")",
"order_by",
"=",
"kwargs",
".",
"pop",
"(",
"'order_by'",
",",
"None",
")",
"tags",
"=... | 1a03dcb45cba7bdc24d3db5e750582e0cb1518e2 |
train | MongoDatabaseAdapter.create | Creates a new statement matching the keyword arguments specified.
Returns the created statement. | chatterbot/storage/mongodb.py | def create(self, **kwargs):
"""
Creates a new statement matching the keyword arguments specified.
Returns the created statement.
"""
Statement = self.get_model('statement')
if 'tags' in kwargs:
kwargs['tags'] = list(set(kwargs['tags']))
if 'search_te... | def create(self, **kwargs):
"""
Creates a new statement matching the keyword arguments specified.
Returns the created statement.
"""
Statement = self.get_model('statement')
if 'tags' in kwargs:
kwargs['tags'] = list(set(kwargs['tags']))
if 'search_te... | [
"Creates",
"a",
"new",
"statement",
"matching",
"the",
"keyword",
"arguments",
"specified",
".",
"Returns",
"the",
"created",
"statement",
"."
] | gunthercox/ChatterBot | python | https://github.com/gunthercox/ChatterBot/blob/1a03dcb45cba7bdc24d3db5e750582e0cb1518e2/chatterbot/storage/mongodb.py#L151-L172 | [
"def",
"create",
"(",
"self",
",",
"*",
"*",
"kwargs",
")",
":",
"Statement",
"=",
"self",
".",
"get_model",
"(",
"'statement'",
")",
"if",
"'tags'",
"in",
"kwargs",
":",
"kwargs",
"[",
"'tags'",
"]",
"=",
"list",
"(",
"set",
"(",
"kwargs",
"[",
"'... | 1a03dcb45cba7bdc24d3db5e750582e0cb1518e2 |
train | MongoDatabaseAdapter.create_many | Creates multiple statement entries. | chatterbot/storage/mongodb.py | def create_many(self, statements):
"""
Creates multiple statement entries.
"""
create_statements = []
for statement in statements:
statement_data = statement.serialize()
tag_data = list(set(statement_data.pop('tags', [])))
statement_data['tags... | def create_many(self, statements):
"""
Creates multiple statement entries.
"""
create_statements = []
for statement in statements:
statement_data = statement.serialize()
tag_data = list(set(statement_data.pop('tags', [])))
statement_data['tags... | [
"Creates",
"multiple",
"statement",
"entries",
"."
] | gunthercox/ChatterBot | python | https://github.com/gunthercox/ChatterBot/blob/1a03dcb45cba7bdc24d3db5e750582e0cb1518e2/chatterbot/storage/mongodb.py#L174-L193 | [
"def",
"create_many",
"(",
"self",
",",
"statements",
")",
":",
"create_statements",
"=",
"[",
"]",
"for",
"statement",
"in",
"statements",
":",
"statement_data",
"=",
"statement",
".",
"serialize",
"(",
")",
"tag_data",
"=",
"list",
"(",
"set",
"(",
"stat... | 1a03dcb45cba7bdc24d3db5e750582e0cb1518e2 |
train | MongoDatabaseAdapter.get_random | Returns a random statement from the database | chatterbot/storage/mongodb.py | def get_random(self):
"""
Returns a random statement from the database
"""
from random import randint
count = self.count()
if count < 1:
raise self.EmptyDatabaseException()
random_integer = randint(0, count - 1)
statements = self.statements... | def get_random(self):
"""
Returns a random statement from the database
"""
from random import randint
count = self.count()
if count < 1:
raise self.EmptyDatabaseException()
random_integer = randint(0, count - 1)
statements = self.statements... | [
"Returns",
"a",
"random",
"statement",
"from",
"the",
"database"
] | gunthercox/ChatterBot | python | https://github.com/gunthercox/ChatterBot/blob/1a03dcb45cba7bdc24d3db5e750582e0cb1518e2/chatterbot/storage/mongodb.py#L235-L250 | [
"def",
"get_random",
"(",
"self",
")",
":",
"from",
"random",
"import",
"randint",
"count",
"=",
"self",
".",
"count",
"(",
")",
"if",
"count",
"<",
"1",
":",
"raise",
"self",
".",
"EmptyDatabaseException",
"(",
")",
"random_integer",
"=",
"randint",
"("... | 1a03dcb45cba7bdc24d3db5e750582e0cb1518e2 |
train | Statement.add_tags | Add a list of strings to the statement as tags. | chatterbot/ext/sqlalchemy_app/models.py | def add_tags(self, *tags):
"""
Add a list of strings to the statement as tags.
"""
self.tags.extend([
Tag(name=tag) for tag in tags
]) | def add_tags(self, *tags):
"""
Add a list of strings to the statement as tags.
"""
self.tags.extend([
Tag(name=tag) for tag in tags
]) | [
"Add",
"a",
"list",
"of",
"strings",
"to",
"the",
"statement",
"as",
"tags",
"."
] | gunthercox/ChatterBot | python | https://github.com/gunthercox/ChatterBot/blob/1a03dcb45cba7bdc24d3db5e750582e0cb1518e2/chatterbot/ext/sqlalchemy_app/models.py#L108-L114 | [
"def",
"add_tags",
"(",
"self",
",",
"*",
"tags",
")",
":",
"self",
".",
"tags",
".",
"extend",
"(",
"[",
"Tag",
"(",
"name",
"=",
"tag",
")",
"for",
"tag",
"in",
"tags",
"]",
")"
] | 1a03dcb45cba7bdc24d3db5e750582e0cb1518e2 |
train | Trainer.get_preprocessed_statement | Preprocess the input statement. | chatterbot/trainers.py | def get_preprocessed_statement(self, input_statement):
"""
Preprocess the input statement.
"""
for preprocessor in self.chatbot.preprocessors:
input_statement = preprocessor(input_statement)
return input_statement | def get_preprocessed_statement(self, input_statement):
"""
Preprocess the input statement.
"""
for preprocessor in self.chatbot.preprocessors:
input_statement = preprocessor(input_statement)
return input_statement | [
"Preprocess",
"the",
"input",
"statement",
"."
] | gunthercox/ChatterBot | python | https://github.com/gunthercox/ChatterBot/blob/1a03dcb45cba7bdc24d3db5e750582e0cb1518e2/chatterbot/trainers.py#L30-L37 | [
"def",
"get_preprocessed_statement",
"(",
"self",
",",
"input_statement",
")",
":",
"for",
"preprocessor",
"in",
"self",
".",
"chatbot",
".",
"preprocessors",
":",
"input_statement",
"=",
"preprocessor",
"(",
"input_statement",
")",
"return",
"input_statement"
] | 1a03dcb45cba7bdc24d3db5e750582e0cb1518e2 |
train | Trainer.export_for_training | Create a file from the database that can be used to
train other chat bots. | chatterbot/trainers.py | def export_for_training(self, file_path='./export.json'):
"""
Create a file from the database that can be used to
train other chat bots.
"""
import json
export = {'conversations': self._generate_export_data()}
with open(file_path, 'w+') as jsonfile:
js... | def export_for_training(self, file_path='./export.json'):
"""
Create a file from the database that can be used to
train other chat bots.
"""
import json
export = {'conversations': self._generate_export_data()}
with open(file_path, 'w+') as jsonfile:
js... | [
"Create",
"a",
"file",
"from",
"the",
"database",
"that",
"can",
"be",
"used",
"to",
"train",
"other",
"chat",
"bots",
"."
] | gunthercox/ChatterBot | python | https://github.com/gunthercox/ChatterBot/blob/1a03dcb45cba7bdc24d3db5e750582e0cb1518e2/chatterbot/trainers.py#L66-L74 | [
"def",
"export_for_training",
"(",
"self",
",",
"file_path",
"=",
"'./export.json'",
")",
":",
"import",
"json",
"export",
"=",
"{",
"'conversations'",
":",
"self",
".",
"_generate_export_data",
"(",
")",
"}",
"with",
"open",
"(",
"file_path",
",",
"'w+'",
"... | 1a03dcb45cba7bdc24d3db5e750582e0cb1518e2 |
train | ListTrainer.train | Train the chat bot based on the provided list of
statements that represents a single conversation. | chatterbot/trainers.py | def train(self, conversation):
"""
Train the chat bot based on the provided list of
statements that represents a single conversation.
"""
previous_statement_text = None
previous_statement_search_text = ''
statements_to_create = []
for conversation_count,... | def train(self, conversation):
"""
Train the chat bot based on the provided list of
statements that represents a single conversation.
"""
previous_statement_text = None
previous_statement_search_text = ''
statements_to_create = []
for conversation_count,... | [
"Train",
"the",
"chat",
"bot",
"based",
"on",
"the",
"provided",
"list",
"of",
"statements",
"that",
"represents",
"a",
"single",
"conversation",
"."
] | gunthercox/ChatterBot | python | https://github.com/gunthercox/ChatterBot/blob/1a03dcb45cba7bdc24d3db5e750582e0cb1518e2/chatterbot/trainers.py#L83-L117 | [
"def",
"train",
"(",
"self",
",",
"conversation",
")",
":",
"previous_statement_text",
"=",
"None",
"previous_statement_search_text",
"=",
"''",
"statements_to_create",
"=",
"[",
"]",
"for",
"conversation_count",
",",
"text",
"in",
"enumerate",
"(",
"conversation",
... | 1a03dcb45cba7bdc24d3db5e750582e0cb1518e2 |
train | UbuntuCorpusTrainer.is_downloaded | Check if the data file is already downloaded. | chatterbot/trainers.py | def is_downloaded(self, file_path):
"""
Check if the data file is already downloaded.
"""
if os.path.exists(file_path):
self.chatbot.logger.info('File is already downloaded')
return True
return False | def is_downloaded(self, file_path):
"""
Check if the data file is already downloaded.
"""
if os.path.exists(file_path):
self.chatbot.logger.info('File is already downloaded')
return True
return False | [
"Check",
"if",
"the",
"data",
"file",
"is",
"already",
"downloaded",
"."
] | gunthercox/ChatterBot | python | https://github.com/gunthercox/ChatterBot/blob/1a03dcb45cba7bdc24d3db5e750582e0cb1518e2/chatterbot/trainers.py#L203-L211 | [
"def",
"is_downloaded",
"(",
"self",
",",
"file_path",
")",
":",
"if",
"os",
".",
"path",
".",
"exists",
"(",
"file_path",
")",
":",
"self",
".",
"chatbot",
".",
"logger",
".",
"info",
"(",
"'File is already downloaded'",
")",
"return",
"True",
"return",
... | 1a03dcb45cba7bdc24d3db5e750582e0cb1518e2 |
train | UbuntuCorpusTrainer.is_extracted | Check if the data file is already extracted. | chatterbot/trainers.py | def is_extracted(self, file_path):
"""
Check if the data file is already extracted.
"""
if os.path.isdir(file_path):
self.chatbot.logger.info('File is already extracted')
return True
return False | def is_extracted(self, file_path):
"""
Check if the data file is already extracted.
"""
if os.path.isdir(file_path):
self.chatbot.logger.info('File is already extracted')
return True
return False | [
"Check",
"if",
"the",
"data",
"file",
"is",
"already",
"extracted",
"."
] | gunthercox/ChatterBot | python | https://github.com/gunthercox/ChatterBot/blob/1a03dcb45cba7bdc24d3db5e750582e0cb1518e2/chatterbot/trainers.py#L213-L221 | [
"def",
"is_extracted",
"(",
"self",
",",
"file_path",
")",
":",
"if",
"os",
".",
"path",
".",
"isdir",
"(",
"file_path",
")",
":",
"self",
".",
"chatbot",
".",
"logger",
".",
"info",
"(",
"'File is already extracted'",
")",
"return",
"True",
"return",
"F... | 1a03dcb45cba7bdc24d3db5e750582e0cb1518e2 |
train | UbuntuCorpusTrainer.download | Download a file from the given url.
Show a progress indicator for the download status.
Based on: http://stackoverflow.com/a/15645088/1547223 | chatterbot/trainers.py | def download(self, url, show_status=True):
"""
Download a file from the given url.
Show a progress indicator for the download status.
Based on: http://stackoverflow.com/a/15645088/1547223
"""
import requests
file_name = url.split('/')[-1]
file_path = os.p... | def download(self, url, show_status=True):
"""
Download a file from the given url.
Show a progress indicator for the download status.
Based on: http://stackoverflow.com/a/15645088/1547223
"""
import requests
file_name = url.split('/')[-1]
file_path = os.p... | [
"Download",
"a",
"file",
"from",
"the",
"given",
"url",
".",
"Show",
"a",
"progress",
"indicator",
"for",
"the",
"download",
"status",
".",
"Based",
"on",
":",
"http",
":",
"//",
"stackoverflow",
".",
"com",
"/",
"a",
"/",
"15645088",
"/",
"1547223"
] | gunthercox/ChatterBot | python | https://github.com/gunthercox/ChatterBot/blob/1a03dcb45cba7bdc24d3db5e750582e0cb1518e2/chatterbot/trainers.py#L223-L261 | [
"def",
"download",
"(",
"self",
",",
"url",
",",
"show_status",
"=",
"True",
")",
":",
"import",
"requests",
"file_name",
"=",
"url",
".",
"split",
"(",
"'/'",
")",
"[",
"-",
"1",
"]",
"file_path",
"=",
"os",
".",
"path",
".",
"join",
"(",
"self",
... | 1a03dcb45cba7bdc24d3db5e750582e0cb1518e2 |
train | UbuntuCorpusTrainer.extract | Extract a tar file at the specified file path. | chatterbot/trainers.py | def extract(self, file_path):
"""
Extract a tar file at the specified file path.
"""
import tarfile
print('Extracting {}'.format(file_path))
if not os.path.exists(self.extracted_data_directory):
os.makedirs(self.extracted_data_directory)
def track_p... | def extract(self, file_path):
"""
Extract a tar file at the specified file path.
"""
import tarfile
print('Extracting {}'.format(file_path))
if not os.path.exists(self.extracted_data_directory):
os.makedirs(self.extracted_data_directory)
def track_p... | [
"Extract",
"a",
"tar",
"file",
"at",
"the",
"specified",
"file",
"path",
"."
] | gunthercox/ChatterBot | python | https://github.com/gunthercox/ChatterBot/blob/1a03dcb45cba7bdc24d3db5e750582e0cb1518e2/chatterbot/trainers.py#L263-L285 | [
"def",
"extract",
"(",
"self",
",",
"file_path",
")",
":",
"import",
"tarfile",
"print",
"(",
"'Extracting {}'",
".",
"format",
"(",
"file_path",
")",
")",
"if",
"not",
"os",
".",
"path",
".",
"exists",
"(",
"self",
".",
"extracted_data_directory",
")",
... | 1a03dcb45cba7bdc24d3db5e750582e0cb1518e2 |
train | SQLStorageAdapter.count | Return the number of entries in the database. | chatterbot/storage/sql_storage.py | def count(self):
"""
Return the number of entries in the database.
"""
Statement = self.get_model('statement')
session = self.Session()
statement_count = session.query(Statement).count()
session.close()
return statement_count | def count(self):
"""
Return the number of entries in the database.
"""
Statement = self.get_model('statement')
session = self.Session()
statement_count = session.query(Statement).count()
session.close()
return statement_count | [
"Return",
"the",
"number",
"of",
"entries",
"in",
"the",
"database",
"."
] | gunthercox/ChatterBot | python | https://github.com/gunthercox/ChatterBot/blob/1a03dcb45cba7bdc24d3db5e750582e0cb1518e2/chatterbot/storage/sql_storage.py#L70-L79 | [
"def",
"count",
"(",
"self",
")",
":",
"Statement",
"=",
"self",
".",
"get_model",
"(",
"'statement'",
")",
"session",
"=",
"self",
".",
"Session",
"(",
")",
"statement_count",
"=",
"session",
".",
"query",
"(",
"Statement",
")",
".",
"count",
"(",
")"... | 1a03dcb45cba7bdc24d3db5e750582e0cb1518e2 |
train | SQLStorageAdapter.remove | Removes the statement that matches the input text.
Removes any responses from statements where the response text matches
the input text. | chatterbot/storage/sql_storage.py | def remove(self, statement_text):
"""
Removes the statement that matches the input text.
Removes any responses from statements where the response text matches
the input text.
"""
Statement = self.get_model('statement')
session = self.Session()
query = ses... | def remove(self, statement_text):
"""
Removes the statement that matches the input text.
Removes any responses from statements where the response text matches
the input text.
"""
Statement = self.get_model('statement')
session = self.Session()
query = ses... | [
"Removes",
"the",
"statement",
"that",
"matches",
"the",
"input",
"text",
".",
"Removes",
"any",
"responses",
"from",
"statements",
"where",
"the",
"response",
"text",
"matches",
"the",
"input",
"text",
"."
] | gunthercox/ChatterBot | python | https://github.com/gunthercox/ChatterBot/blob/1a03dcb45cba7bdc24d3db5e750582e0cb1518e2/chatterbot/storage/sql_storage.py#L81-L95 | [
"def",
"remove",
"(",
"self",
",",
"statement_text",
")",
":",
"Statement",
"=",
"self",
".",
"get_model",
"(",
"'statement'",
")",
"session",
"=",
"self",
".",
"Session",
"(",
")",
"query",
"=",
"session",
".",
"query",
"(",
"Statement",
")",
".",
"fi... | 1a03dcb45cba7bdc24d3db5e750582e0cb1518e2 |
train | SQLStorageAdapter.filter | Returns a list of objects from the database.
The kwargs parameter can contain any number
of attributes. Only objects which contain all
listed attributes and in which all values match
for all listed attributes will be returned. | chatterbot/storage/sql_storage.py | def filter(self, **kwargs):
"""
Returns a list of objects from the database.
The kwargs parameter can contain any number
of attributes. Only objects which contain all
listed attributes and in which all values match
for all listed attributes will be returned.
"""
... | def filter(self, **kwargs):
"""
Returns a list of objects from the database.
The kwargs parameter can contain any number
of attributes. Only objects which contain all
listed attributes and in which all values match
for all listed attributes will be returned.
"""
... | [
"Returns",
"a",
"list",
"of",
"objects",
"from",
"the",
"database",
".",
"The",
"kwargs",
"parameter",
"can",
"contain",
"any",
"number",
"of",
"attributes",
".",
"Only",
"objects",
"which",
"contain",
"all",
"listed",
"attributes",
"and",
"in",
"which",
"al... | gunthercox/ChatterBot | python | https://github.com/gunthercox/ChatterBot/blob/1a03dcb45cba7bdc24d3db5e750582e0cb1518e2/chatterbot/storage/sql_storage.py#L97-L174 | [
"def",
"filter",
"(",
"self",
",",
"*",
"*",
"kwargs",
")",
":",
"from",
"sqlalchemy",
"import",
"or_",
"Statement",
"=",
"self",
".",
"get_model",
"(",
"'statement'",
")",
"Tag",
"=",
"self",
".",
"get_model",
"(",
"'tag'",
")",
"session",
"=",
"self"... | 1a03dcb45cba7bdc24d3db5e750582e0cb1518e2 |
train | SQLStorageAdapter.create | Creates a new statement matching the keyword arguments specified.
Returns the created statement. | chatterbot/storage/sql_storage.py | def create(self, **kwargs):
"""
Creates a new statement matching the keyword arguments specified.
Returns the created statement.
"""
Statement = self.get_model('statement')
Tag = self.get_model('tag')
session = self.Session()
tags = set(kwargs.pop('tags'... | def create(self, **kwargs):
"""
Creates a new statement matching the keyword arguments specified.
Returns the created statement.
"""
Statement = self.get_model('statement')
Tag = self.get_model('tag')
session = self.Session()
tags = set(kwargs.pop('tags'... | [
"Creates",
"a",
"new",
"statement",
"matching",
"the",
"keyword",
"arguments",
"specified",
".",
"Returns",
"the",
"created",
"statement",
"."
] | gunthercox/ChatterBot | python | https://github.com/gunthercox/ChatterBot/blob/1a03dcb45cba7bdc24d3db5e750582e0cb1518e2/chatterbot/storage/sql_storage.py#L176-L217 | [
"def",
"create",
"(",
"self",
",",
"*",
"*",
"kwargs",
")",
":",
"Statement",
"=",
"self",
".",
"get_model",
"(",
"'statement'",
")",
"Tag",
"=",
"self",
".",
"get_model",
"(",
"'tag'",
")",
"session",
"=",
"self",
".",
"Session",
"(",
")",
"tags",
... | 1a03dcb45cba7bdc24d3db5e750582e0cb1518e2 |
train | SQLStorageAdapter.create_many | Creates multiple statement entries. | chatterbot/storage/sql_storage.py | def create_many(self, statements):
"""
Creates multiple statement entries.
"""
Statement = self.get_model('statement')
Tag = self.get_model('tag')
session = self.Session()
create_statements = []
create_tags = {}
for statement in statements:
... | def create_many(self, statements):
"""
Creates multiple statement entries.
"""
Statement = self.get_model('statement')
Tag = self.get_model('tag')
session = self.Session()
create_statements = []
create_tags = {}
for statement in statements:
... | [
"Creates",
"multiple",
"statement",
"entries",
"."
] | gunthercox/ChatterBot | python | https://github.com/gunthercox/ChatterBot/blob/1a03dcb45cba7bdc24d3db5e750582e0cb1518e2/chatterbot/storage/sql_storage.py#L219-L267 | [
"def",
"create_many",
"(",
"self",
",",
"statements",
")",
":",
"Statement",
"=",
"self",
".",
"get_model",
"(",
"'statement'",
")",
"Tag",
"=",
"self",
".",
"get_model",
"(",
"'tag'",
")",
"session",
"=",
"self",
".",
"Session",
"(",
")",
"create_statem... | 1a03dcb45cba7bdc24d3db5e750582e0cb1518e2 |
train | SQLStorageAdapter.update | Modifies an entry in the database.
Creates an entry if one does not exist. | chatterbot/storage/sql_storage.py | def update(self, statement):
"""
Modifies an entry in the database.
Creates an entry if one does not exist.
"""
Statement = self.get_model('statement')
Tag = self.get_model('tag')
if statement is not None:
session = self.Session()
record =... | def update(self, statement):
"""
Modifies an entry in the database.
Creates an entry if one does not exist.
"""
Statement = self.get_model('statement')
Tag = self.get_model('tag')
if statement is not None:
session = self.Session()
record =... | [
"Modifies",
"an",
"entry",
"in",
"the",
"database",
".",
"Creates",
"an",
"entry",
"if",
"one",
"does",
"not",
"exist",
"."
] | gunthercox/ChatterBot | python | https://github.com/gunthercox/ChatterBot/blob/1a03dcb45cba7bdc24d3db5e750582e0cb1518e2/chatterbot/storage/sql_storage.py#L269-L318 | [
"def",
"update",
"(",
"self",
",",
"statement",
")",
":",
"Statement",
"=",
"self",
".",
"get_model",
"(",
"'statement'",
")",
"Tag",
"=",
"self",
".",
"get_model",
"(",
"'tag'",
")",
"if",
"statement",
"is",
"not",
"None",
":",
"session",
"=",
"self",... | 1a03dcb45cba7bdc24d3db5e750582e0cb1518e2 |
train | SQLStorageAdapter.get_random | Returns a random statement from the database. | chatterbot/storage/sql_storage.py | def get_random(self):
"""
Returns a random statement from the database.
"""
import random
Statement = self.get_model('statement')
session = self.Session()
count = self.count()
if count < 1:
raise self.EmptyDatabaseException()
random_... | def get_random(self):
"""
Returns a random statement from the database.
"""
import random
Statement = self.get_model('statement')
session = self.Session()
count = self.count()
if count < 1:
raise self.EmptyDatabaseException()
random_... | [
"Returns",
"a",
"random",
"statement",
"from",
"the",
"database",
"."
] | gunthercox/ChatterBot | python | https://github.com/gunthercox/ChatterBot/blob/1a03dcb45cba7bdc24d3db5e750582e0cb1518e2/chatterbot/storage/sql_storage.py#L320-L339 | [
"def",
"get_random",
"(",
"self",
")",
":",
"import",
"random",
"Statement",
"=",
"self",
".",
"get_model",
"(",
"'statement'",
")",
"session",
"=",
"self",
".",
"Session",
"(",
")",
"count",
"=",
"self",
".",
"count",
"(",
")",
"if",
"count",
"<",
"... | 1a03dcb45cba7bdc24d3db5e750582e0cb1518e2 |
train | SQLStorageAdapter.drop | Drop the database. | chatterbot/storage/sql_storage.py | def drop(self):
"""
Drop the database.
"""
Statement = self.get_model('statement')
Tag = self.get_model('tag')
session = self.Session()
session.query(Statement).delete()
session.query(Tag).delete()
session.commit()
session.close() | def drop(self):
"""
Drop the database.
"""
Statement = self.get_model('statement')
Tag = self.get_model('tag')
session = self.Session()
session.query(Statement).delete()
session.query(Tag).delete()
session.commit()
session.close() | [
"Drop",
"the",
"database",
"."
] | gunthercox/ChatterBot | python | https://github.com/gunthercox/ChatterBot/blob/1a03dcb45cba7bdc24d3db5e750582e0cb1518e2/chatterbot/storage/sql_storage.py#L341-L354 | [
"def",
"drop",
"(",
"self",
")",
":",
"Statement",
"=",
"self",
".",
"get_model",
"(",
"'statement'",
")",
"Tag",
"=",
"self",
".",
"get_model",
"(",
"'tag'",
")",
"session",
"=",
"self",
".",
"Session",
"(",
")",
"session",
".",
"query",
"(",
"State... | 1a03dcb45cba7bdc24d3db5e750582e0cb1518e2 |
train | SQLStorageAdapter.create_database | Populate the database with the tables. | chatterbot/storage/sql_storage.py | def create_database(self):
"""
Populate the database with the tables.
"""
from chatterbot.ext.sqlalchemy_app.models import Base
Base.metadata.create_all(self.engine) | def create_database(self):
"""
Populate the database with the tables.
"""
from chatterbot.ext.sqlalchemy_app.models import Base
Base.metadata.create_all(self.engine) | [
"Populate",
"the",
"database",
"with",
"the",
"tables",
"."
] | gunthercox/ChatterBot | python | https://github.com/gunthercox/ChatterBot/blob/1a03dcb45cba7bdc24d3db5e750582e0cb1518e2/chatterbot/storage/sql_storage.py#L356-L361 | [
"def",
"create_database",
"(",
"self",
")",
":",
"from",
"chatterbot",
".",
"ext",
".",
"sqlalchemy_app",
".",
"models",
"import",
"Base",
"Base",
".",
"metadata",
".",
"create_all",
"(",
"self",
".",
"engine",
")"
] | 1a03dcb45cba7bdc24d3db5e750582e0cb1518e2 |
train | ChatterBotApiView.post | Return a response to the statement in the posted data.
* The JSON data should contain a 'text' attribute. | examples/django_app/example_app/views.py | def post(self, request, *args, **kwargs):
"""
Return a response to the statement in the posted data.
* The JSON data should contain a 'text' attribute.
"""
input_data = json.loads(request.body.decode('utf-8'))
if 'text' not in input_data:
return JsonResponse... | def post(self, request, *args, **kwargs):
"""
Return a response to the statement in the posted data.
* The JSON data should contain a 'text' attribute.
"""
input_data = json.loads(request.body.decode('utf-8'))
if 'text' not in input_data:
return JsonResponse... | [
"Return",
"a",
"response",
"to",
"the",
"statement",
"in",
"the",
"posted",
"data",
"."
] | gunthercox/ChatterBot | python | https://github.com/gunthercox/ChatterBot/blob/1a03dcb45cba7bdc24d3db5e750582e0cb1518e2/examples/django_app/example_app/views.py#L20-L39 | [
"def",
"post",
"(",
"self",
",",
"request",
",",
"*",
"args",
",",
"*",
"*",
"kwargs",
")",
":",
"input_data",
"=",
"json",
".",
"loads",
"(",
"request",
".",
"body",
".",
"decode",
"(",
"'utf-8'",
")",
")",
"if",
"'text'",
"not",
"in",
"input_data... | 1a03dcb45cba7bdc24d3db5e750582e0cb1518e2 |
train | get_file_path | Reads a dotted file path and returns the file path. | chatterbot/corpus.py | def get_file_path(dotted_path, extension='json'):
"""
Reads a dotted file path and returns the file path.
"""
# If the operating system's file path seperator character is in the string
if os.sep in dotted_path or '/' in dotted_path:
# Assume the path is a valid file path
return dotte... | def get_file_path(dotted_path, extension='json'):
"""
Reads a dotted file path and returns the file path.
"""
# If the operating system's file path seperator character is in the string
if os.sep in dotted_path or '/' in dotted_path:
# Assume the path is a valid file path
return dotte... | [
"Reads",
"a",
"dotted",
"file",
"path",
"and",
"returns",
"the",
"file",
"path",
"."
] | gunthercox/ChatterBot | python | https://github.com/gunthercox/ChatterBot/blob/1a03dcb45cba7bdc24d3db5e750582e0cb1518e2/chatterbot/corpus.py#L11-L30 | [
"def",
"get_file_path",
"(",
"dotted_path",
",",
"extension",
"=",
"'json'",
")",
":",
"# If the operating system's file path seperator character is in the string",
"if",
"os",
".",
"sep",
"in",
"dotted_path",
"or",
"'/'",
"in",
"dotted_path",
":",
"# Assume the path is a... | 1a03dcb45cba7bdc24d3db5e750582e0cb1518e2 |
train | read_corpus | Read and return the data from a corpus json file. | chatterbot/corpus.py | def read_corpus(file_name):
"""
Read and return the data from a corpus json file.
"""
with io.open(file_name, encoding='utf-8') as data_file:
return yaml.load(data_file) | def read_corpus(file_name):
"""
Read and return the data from a corpus json file.
"""
with io.open(file_name, encoding='utf-8') as data_file:
return yaml.load(data_file) | [
"Read",
"and",
"return",
"the",
"data",
"from",
"a",
"corpus",
"json",
"file",
"."
] | gunthercox/ChatterBot | python | https://github.com/gunthercox/ChatterBot/blob/1a03dcb45cba7bdc24d3db5e750582e0cb1518e2/chatterbot/corpus.py#L33-L38 | [
"def",
"read_corpus",
"(",
"file_name",
")",
":",
"with",
"io",
".",
"open",
"(",
"file_name",
",",
"encoding",
"=",
"'utf-8'",
")",
"as",
"data_file",
":",
"return",
"yaml",
".",
"load",
"(",
"data_file",
")"
] | 1a03dcb45cba7bdc24d3db5e750582e0cb1518e2 |
train | list_corpus_files | Return a list of file paths to each data file in the specified corpus. | chatterbot/corpus.py | def list_corpus_files(dotted_path):
"""
Return a list of file paths to each data file in the specified corpus.
"""
corpus_path = get_file_path(dotted_path, extension=CORPUS_EXTENSION)
paths = []
if os.path.isdir(corpus_path):
paths = glob.glob(corpus_path + '/**/*.' + CORPUS_EXTENSION, ... | def list_corpus_files(dotted_path):
"""
Return a list of file paths to each data file in the specified corpus.
"""
corpus_path = get_file_path(dotted_path, extension=CORPUS_EXTENSION)
paths = []
if os.path.isdir(corpus_path):
paths = glob.glob(corpus_path + '/**/*.' + CORPUS_EXTENSION, ... | [
"Return",
"a",
"list",
"of",
"file",
"paths",
"to",
"each",
"data",
"file",
"in",
"the",
"specified",
"corpus",
"."
] | gunthercox/ChatterBot | python | https://github.com/gunthercox/ChatterBot/blob/1a03dcb45cba7bdc24d3db5e750582e0cb1518e2/chatterbot/corpus.py#L41-L54 | [
"def",
"list_corpus_files",
"(",
"dotted_path",
")",
":",
"corpus_path",
"=",
"get_file_path",
"(",
"dotted_path",
",",
"extension",
"=",
"CORPUS_EXTENSION",
")",
"paths",
"=",
"[",
"]",
"if",
"os",
".",
"path",
".",
"isdir",
"(",
"corpus_path",
")",
":",
... | 1a03dcb45cba7bdc24d3db5e750582e0cb1518e2 |
train | load_corpus | Return the data contained within a specified corpus. | chatterbot/corpus.py | def load_corpus(*data_file_paths):
"""
Return the data contained within a specified corpus.
"""
for file_path in data_file_paths:
corpus = []
corpus_data = read_corpus(file_path)
conversations = corpus_data.get('conversations', [])
corpus.extend(conversations)
c... | def load_corpus(*data_file_paths):
"""
Return the data contained within a specified corpus.
"""
for file_path in data_file_paths:
corpus = []
corpus_data = read_corpus(file_path)
conversations = corpus_data.get('conversations', [])
corpus.extend(conversations)
c... | [
"Return",
"the",
"data",
"contained",
"within",
"a",
"specified",
"corpus",
"."
] | gunthercox/ChatterBot | python | https://github.com/gunthercox/ChatterBot/blob/1a03dcb45cba7bdc24d3db5e750582e0cb1518e2/chatterbot/corpus.py#L57-L70 | [
"def",
"load_corpus",
"(",
"*",
"data_file_paths",
")",
":",
"for",
"file_path",
"in",
"data_file_paths",
":",
"corpus",
"=",
"[",
"]",
"corpus_data",
"=",
"read_corpus",
"(",
"file_path",
")",
"conversations",
"=",
"corpus_data",
".",
"get",
"(",
"'conversati... | 1a03dcb45cba7bdc24d3db5e750582e0cb1518e2 |
train | PosLemmaTagger.get_bigram_pair_string | Return a string of text containing part-of-speech, lemma pairs. | chatterbot/tagging.py | def get_bigram_pair_string(self, text):
"""
Return a string of text containing part-of-speech, lemma pairs.
"""
bigram_pairs = []
if len(text) <= 2:
text_without_punctuation = text.translate(self.punctuation_table)
if len(text_without_punctuation) >= 1:
... | def get_bigram_pair_string(self, text):
"""
Return a string of text containing part-of-speech, lemma pairs.
"""
bigram_pairs = []
if len(text) <= 2:
text_without_punctuation = text.translate(self.punctuation_table)
if len(text_without_punctuation) >= 1:
... | [
"Return",
"a",
"string",
"of",
"text",
"containing",
"part",
"-",
"of",
"-",
"speech",
"lemma",
"pairs",
"."
] | gunthercox/ChatterBot | python | https://github.com/gunthercox/ChatterBot/blob/1a03dcb45cba7bdc24d3db5e750582e0cb1518e2/chatterbot/tagging.py#L15-L53 | [
"def",
"get_bigram_pair_string",
"(",
"self",
",",
"text",
")",
":",
"bigram_pairs",
"=",
"[",
"]",
"if",
"len",
"(",
"text",
")",
"<=",
"2",
":",
"text_without_punctuation",
"=",
"text",
".",
"translate",
"(",
"self",
".",
"punctuation_table",
")",
"if",
... | 1a03dcb45cba7bdc24d3db5e750582e0cb1518e2 |
train | DjangoStorageAdapter.filter | Returns a list of statements in the database
that match the parameters specified. | chatterbot/storage/django_storage.py | def filter(self, **kwargs):
"""
Returns a list of statements in the database
that match the parameters specified.
"""
from django.db.models import Q
Statement = self.get_model('statement')
kwargs.pop('page_size', 1000)
order_by = kwargs.pop('order_by', N... | def filter(self, **kwargs):
"""
Returns a list of statements in the database
that match the parameters specified.
"""
from django.db.models import Q
Statement = self.get_model('statement')
kwargs.pop('page_size', 1000)
order_by = kwargs.pop('order_by', N... | [
"Returns",
"a",
"list",
"of",
"statements",
"in",
"the",
"database",
"that",
"match",
"the",
"parameters",
"specified",
"."
] | gunthercox/ChatterBot | python | https://github.com/gunthercox/ChatterBot/blob/1a03dcb45cba7bdc24d3db5e750582e0cb1518e2/chatterbot/storage/django_storage.py#L31-L90 | [
"def",
"filter",
"(",
"self",
",",
"*",
"*",
"kwargs",
")",
":",
"from",
"django",
".",
"db",
".",
"models",
"import",
"Q",
"Statement",
"=",
"self",
".",
"get_model",
"(",
"'statement'",
")",
"kwargs",
".",
"pop",
"(",
"'page_size'",
",",
"1000",
")... | 1a03dcb45cba7bdc24d3db5e750582e0cb1518e2 |
train | DjangoStorageAdapter.create | Creates a new statement matching the keyword arguments specified.
Returns the created statement. | chatterbot/storage/django_storage.py | def create(self, **kwargs):
"""
Creates a new statement matching the keyword arguments specified.
Returns the created statement.
"""
Statement = self.get_model('statement')
Tag = self.get_model('tag')
tags = kwargs.pop('tags', [])
if 'search_text' not in... | def create(self, **kwargs):
"""
Creates a new statement matching the keyword arguments specified.
Returns the created statement.
"""
Statement = self.get_model('statement')
Tag = self.get_model('tag')
tags = kwargs.pop('tags', [])
if 'search_text' not in... | [
"Creates",
"a",
"new",
"statement",
"matching",
"the",
"keyword",
"arguments",
"specified",
".",
"Returns",
"the",
"created",
"statement",
"."
] | gunthercox/ChatterBot | python | https://github.com/gunthercox/ChatterBot/blob/1a03dcb45cba7bdc24d3db5e750582e0cb1518e2/chatterbot/storage/django_storage.py#L92-L121 | [
"def",
"create",
"(",
"self",
",",
"*",
"*",
"kwargs",
")",
":",
"Statement",
"=",
"self",
".",
"get_model",
"(",
"'statement'",
")",
"Tag",
"=",
"self",
".",
"get_model",
"(",
"'tag'",
")",
"tags",
"=",
"kwargs",
".",
"pop",
"(",
"'tags'",
",",
"[... | 1a03dcb45cba7bdc24d3db5e750582e0cb1518e2 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.