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|
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "ggplot2"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "packinfo", "value": {"_type": "Name", "_fields": {"id": "localRepo", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "ggplot2", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "as_dict", "value": {"_type": "Name", "_fields": 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"_fields": {"kind": null, "value": "R"}}]}}]}}}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "suggests", "value": {"_type": "Name", "_fields": {"id": "plyr", "ctx": {"_type": "Load", "_fields": {}}}}}}, "comparators": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "abind"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "testthat"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "tcltk"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "foreach"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "doParallel"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "itertools"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "iterators"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "covr"}}]}}]}}}}], "name": "test_packinfo", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_packinfo():
ggplot2 = localRepo.packinfo('ggplot2')
print('ggplot2: {0}'.format(ggplot2.as_dict))
assert(ggplot2.name == 'ggplot2')
assert(ggplot2.version == '2.2.1')
assert(ggplot2.license == 'GPL-2 | file LICENSE')
plyr = localRepo.packinfo('plyr')
print('plyr: {0}'.format(plyr.as_dict))
assert(plyr.name == 'plyr')
assert(plyr.version == '1.8.4')
assert(plyr.license == 'MIT + file LICENSE')
assert(plyr.imports == ['Rcpp'])
assert(plyr.depends == ['R'])
assert(plyr.suggests == ['abind', 'testthat', 'tcltk',
'foreach', 'doParallel',
'itertools', 'iterators',
'covr'])
|
|
14,002
|
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] | 14
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{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "chunk", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Try", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "chunk", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "download_transactions", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "IfExp", "_fields": {"body": {"_type": "Constant", "_fields": {"kind": null, "value": "."}}, "test": {"_type": 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|
def download_catching_exceptions(chunk):
try:
result = download_transactions(chunk)
sys.stdout.write('.' if result != None and len(result) == 25 else '+')
sys.stdout.flush()
return result
except:
print("Chunk failed", list(map(lambda t: t[1], sample[idx * 25:idx *25 + 25])), sys.exc_info()[1])
traceback.print_exc()
return [], []
|
|
14,003
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|
def download_transactions(transactions):
ids = [tr[1] for tr in transactions]
items, not_found, killed = allegro.get_items_info(ids)
items = {item['itemInfo']['itId']: item for item in items}
transactions_with_items = []
killed_info = []
for transaction in transactions:
if transaction[1] in items:
tr_info = items[transaction[1]]
tr_info['transaction'] = {
'id': transaction[0],
'date': transaction[2],
'isBuyNow': transaction[3] == 1
}
transactions_with_items.append(tr_info)
if transaction[1] in killed:
killed_info.append(transaction[0])
return transactions_with_items, killed_info
|
|
14,004
|
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"_fields": {}}}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "credentials", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": []}}, "targets": [{"_type": "Name", "_fields": {"id": "headers", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "Access-Control-Allow-Origin"}}, {"_type": "Name", "_fields": {"id": "origin", "ctx": {"_type": "Load", "_fields": {}}}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Name", "_fields": {"id": "headers", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "NotEq", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "origin", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": "none"}}]}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "Access-Control-Allow-Credentials"}}, {"_type": "Name", "_fields": {"id": "credentials", "ctx": {"_type": "Load", "_fields": {}}}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Name", "_fields": {"id": "headers", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "NotEq", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "credentials", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": "none"}}]}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "Content-Type"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "text/event-stream"}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Name", "_fields": {"id": "headers", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "ident", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "COOKIE"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "set_cookie", "value": {"_type": "Name", "_fields": {"id": "response", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "id: 1\nretry: 200\ndata: first %s\n\n"}}, "right": {"_type": "Name", "_fields": {"id": "cookie", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "last_event_id", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": ""}}]}}, "orelse": [{"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "Content-Type"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "text/event-stream"}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Name", "_fields": {"id": "headers", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "replace", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "now", "value": {"_type": "Name", "_fields": {"id": "datetime", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "year", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 2001}}}}, {"_type": "keyword", "_fields": {"arg": "month", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 7}}}}, {"_type": "keyword", "_fields": {"arg": "day", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 27}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "long_long_time_ago", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "ident", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "COOKIE"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "set_cookie", "value": {"_type": "Name", "_fields": {"id": "response", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "expires", "value": {"_type": "Name", "_fields": {"id": "long_long_time_ago", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "id: 2\ndata: second %s\n\n"}}, "right": {"_type": "Name", "_fields": {"id": "cookie", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "last_event_id", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": "1"}}]}}, "orelse": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "Content-Type"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "stop"}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Name", "_fields": {"id": "headers", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "data: "}}, "right": {"_type": "Name", "_fields": {"id": "last_event_id", "ctx": {"_type": "Load", "_fields": {}}}}}}, "right": {"_type": "Name", "_fields": {"id": "cookie", "ctx": {"_type": "Load", "_fields": {}}}}}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": "\n\n"}}}}, "targets": [{"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}]}}]}}, {"_type": "Return", "_fields": {"value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "headers", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}], "name": "main", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def main(request, response):
last_event_id = request.headers.get("Last-Event-Id", "")
ident = request.GET.first('ident', "test")
cookie = "COOKIE" if ident in request.cookies else "NO_COOKIE"
origin = request.GET.first('origin', request.headers["origin"])
credentials = request.GET.first('credentials', 'true')
headers = []
if origin != 'none':
headers.append(("Access-Control-Allow-Origin", origin));
if credentials != 'none':
headers.append(("Access-Control-Allow-Credentials", credentials));
if last_event_id == '':
headers.append(("Content-Type", "text/event-stream"))
response.set_cookie(ident, "COOKIE")
data = "id: 1\nretry: 200\ndata: first %s\n\n" % cookie
elif last_event_id == '1':
headers.append(("Content-Type", "text/event-stream"))
long_long_time_ago = datetime.now().replace(year=2001, month=7, day=27)
response.set_cookie(ident, "COOKIE", expires=long_long_time_ago)
data = "id: 2\ndata: second %s\n\n" % cookie
else:
headers.append(("Content-Type", "stop"))
data = "data: " + last_event_id + cookie + "\n\n";
return headers, data
|
|
14,005
|
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def create_plot():
fig, ax = plt.subplots()
x = np.linspace(0, 10, 100)
l1 = ax.plot(x, np.sin(x), label='sin', lw=3, alpha=0.2)
l2 = ax.plot(x, np.cos(x), label='cos', lw=3, alpha=0.2)
l3 = ax.plot(x[::5], 0.5 * np.sin(x[::5] + 2), 'ob', label='dots',
alpha=0.2)
labels = ['sin', 'cos', 'dots']
interactive_legend = plugins.InteractiveLegendPlugin([l1, l2, l3], labels)
plugins.connect(fig, interactive_legend)
ax.set_title("Interactive legend test", size=20)
return fig
|
|
14,006
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{"ctx": {"_type": "Load", "_fields": {}}, "attr": "name", "value": {"_type": "Name", "_fields": {"id": "attr", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Name", "_fields": {"id": "names", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "iter": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "timeseries_attributes", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "dataset", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "attr", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "names", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "_get_attribute_names", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def _get_attribute_names(self):
names = []
for dim in self.dimensions:
for attr in dim.fields:
if not attr['isSystemField']:
names.append(dim.name +' '+ attr['displayName'])
names.append('Unit')
names.append('Scale')
names.append('Mnemonics')
for attr in self.dataset.timeseries_attributes:
names.append(attr.name)
return names
|
|
14,007
|
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def _get_series_with_metadata(self, series_point):
names = []
for dim in self.dimensions:
for item in dim.items:
if item.name == series_point[dim.id]:
dim_attrs = item.fields
break
for attr in dim.fields:
if not attr['isSystemField']:
value_empty = True
for key, value in dim_attrs.items():
if definition.is_equal_strings_ignore_case(key, attr['name']):
names.append(value)
value_empty = False
if value_empty:
names.append(float("NaN"))
names.append(series_point.get('Unit'))
names.append(series_point.get('Scale'))
names.append(series_point.get('Mnemonics'))
for attr in self.dataset.timeseries_attributes:
names.append(series_point.get(attr.name))
return tuple(names)
|
|
14,008
|
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] | 9
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{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "resp", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "names_of_attributes", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Dict", "_fields": {"keys": [], "values": []}}, "targets": [{"_type": "Name", "_fields": {"id": "series", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "For", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "Value"}}, "value": {"_type": "Name", "_fields": {"id": "series_point", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "val", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Continue", "_fields": {}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Is", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "val", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}]}}, "orelse": []}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "series_point", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_get_series_name", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "serie_name", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "series_point", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_get_series_with_metadata", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "serie_attrs", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "serie_name", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "serie_attrs", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "names_of_attributes", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": null}}], "func": {"_type": "Name", "_fields": {"id": "KnoemaSeries", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "serie_name", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Name", "_fields": {"id": "series", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "NotIn", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "serie_name", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Name", "_fields": {"id": "series", "ctx": {"_type": "Load", "_fields": {}}}}]}}, "orelse": []}}], "iter": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "tuples", "value": {"_type": "Name", "_fields": {"id": "resp", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "series_point", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "series", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "_get_metadata_series", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def _get_metadata_series(self, resp, names_of_attributes):
series = {}
for series_point in resp.tuples:
val = series_point['Value']
if val is None:
continue
serie_name = self._get_series_name(series_point)
if serie_name not in series:
serie_attrs = self._get_series_with_metadata(series_point)
series[serie_name] = KnoemaSeries(serie_name, serie_attrs, names_of_attributes, None)
return series
|
|
14,009
|
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{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "is_equal_strings_ignore_case", "value": {"_type": "Name", "_fields": {"id": "definition", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "orelse": []}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "name", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_find_dimension", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "dim", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "name", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "format", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "Dimension with id or name {} is not found"}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "ValueError", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "cause": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Is", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "dim", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}]}}, "orelse": []}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "dim", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Name", "_fields": {"id": "filter_dims", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "For", "_fields": {"body": [{"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Name", "_fields": {"id": "dimension", "ctx": {"_type": "Load", "_fields": {}}}}, "targets": [{"_type": "Name", "_fields": {"id": "dim", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Break", "_fields": {}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "id", "value": {"_type": "Name", "_fields": {"id": "dimension", "ctx": {"_type": "Load", "_fields": {}}}}}}, "comparators": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "id", "value": {"_type": "Name", "_fields": {"id": "dim", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "orelse": []}}], "iter": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "dimensions", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "dimension", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": null}}, "targets": [{"_type": "Name", "_fields": {"id": "aggregations", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Slice", "_fields": {"step": null, "lower": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}, "upper": null}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, "value": {"_type": "Name", "_fields": {"id": "splited_values", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "aggregations", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Slice", "_fields": {"step": null, "lower": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}, "upper": null}}, "value": {"_type": "Name", "_fields": {"id": "splited_values", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "splited_values", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "BoolOp", "_fields": {"op": {"_type": "And", "_fields": {}}, "values": [{"_type": "Compare", "_fields": {"ops": [{"_type": "Gt", "_fields": {}}], "left": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "splited_values", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "len", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": 0}}]}}, {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "@"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "startswith", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, "value": {"_type": "Name", "_fields": {"id": "splited_values", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}]}}, "orelse": []}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "dim", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "splited_values", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_get_dim_members", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "members", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "name", "value": {"_type": "Name", "_fields": {"id": "dim", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "format", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "Selection for dimension {} is empty"}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "ValueError", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "cause": null}}], "test": {"_type": "BoolOp", "_fields": {"op": {"_type": "And", "_fields": {}}, "values": [{"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Name", "_fields": {"id": "members", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "aggregations", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}]}}]}}, "orelse": []}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "id", "value": {"_type": "Name", "_fields": {"id": "dim", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Name", "_fields": {"id": "members", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "PivotItem", "value": {"_type": "Name", "_fields": {"id": "definition", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "aggregations", "value": {"_type": "Name", "_fields": {"id": "aggregations", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "stub", "value": {"_type": "Name", "_fields": {"id": "pivot_req", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}], "iter": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "items", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "dim_values", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "orelse": [], "target": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "name", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "value", "ctx": {"_type": "Store", "_fields": {}}}}]}}, "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "filter_dims", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "pivot_req", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_add_full_selection_by_empty_dim_values", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "Time"}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "time_range", "ctx": {"_type": "Load", "_fields": {}}}}]}}, {"_type": "Constant", "_fields": {"kind": null, "value": "range"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "PivotTimeItem", "value": {"_type": "Name", "_fields": {"id": "definition", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "header", "value": {"_type": "Name", "_fields": {"id": "pivot_req", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}], "test": {"_type": "Name", "_fields": {"id": "time_range", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "Time"}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": []}}, {"_type": "Constant", "_fields": {"kind": null, "value": "AllData"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "PivotTimeItem", "value": {"_type": "Name", "_fields": {"id": "definition", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "header", "value": {"_type": "Name", "_fields": {"id": "pivot_req", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}]}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "transform", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "transform", "value": {"_type": "Name", "_fields": {"id": "pivot_req", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "IsNot", "_fields": {}}], "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "transform", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}]}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "columns", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "columns", "value": {"_type": "Name", "_fields": {"id": "pivot_req", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "IsNot", "_fields": {}}], "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "columns", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}]}}, "orelse": []}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "pivot_req", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "_create_pivot_request", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "SelectionDataReader", "bases": [{"_type": "Name", "_fields": {"id": "DataReader", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
|
class SelectionDataReader(DataReader):
def __init__(self, client, dim_values, transform = None):
super().__init__(client)
self.dim_values = dim_values
self.transform = transform
def _get_dim_members(self, dim, splited_values):
members = []
for value in splited_values:
if value is None or isinstance(value, str) and not value:
raise ValueError('Selection for dimension {} is empty'.format(dim.name))
member = dim.find_member_by_id(value)
if member is None:
member = dim.find_member_by_name(value)
if member is None:
member = dim.find_member_by_regionid(value)
if member is None:
member = dim.find_member_by_ticker(value)
if member is None and value.isnumeric():
member = dim.find_member_by_key(int(value))
if member:
members.append(member.key)
else:
raise ValueError('Selection for dimension {} contains invalid elements'.format(dim.name))
return members
def _find_dimension(self, dim_name_or_id):
dim = self.dataset.find_dimension_by_name(dim_name_or_id)
if dim is None:
dim = self.dataset.find_dimension_by_id(dim_name_or_id)
return dim
def _add_full_selection_by_empty_dim_values(self, filter_dims, pivot_req):
out_of_filter_dim_id = [dim.id for dim in self.dataset.dimensions if dim not in filter_dims]
for id in out_of_filter_dim_id:
pivot_req.stub.append(definition.PivotItem(id, []))
def _create_pivot_request(self):
pivot_req = definition.PivotRequest(self.dataset.id)
filter_dims = []
time_range = None
for name, value in self.dim_values.items():
if definition.is_equal_strings_ignore_case(name, 'timerange'):
time_range = value
continue
splited_values = value.split(self.separator) if isinstance(value, str) else value
if definition.is_equal_strings_ignore_case(name, 'frequency'):
pivot_req.frequencies = splited_values
continue
dim = self._find_dimension(name)
if dim is None:
raise ValueError('Dimension with id or name {} is not found'.
format(name))
filter_dims.append(dim)
for dimension in self.dimensions:
if dimension.id == dim.id:
dim = dimension
break
aggregations = None
if len(splited_values) > 0 and splited_values[0].startswith('@'):
aggregations = splited_values[0][1:]
splited_values = splited_values[1:]
members = self._get_dim_members(dim, splited_values)
if not members and aggregations == None:
raise ValueError('Selection for dimension {} is empty'.format(dim.name))
pivot_req.stub.append(definition.PivotItem(dim.id, members, aggregations = aggregations))
self._add_full_selection_by_empty_dim_values(filter_dims, pivot_req)
if time_range:
pivot_req.header.append(definition.PivotTimeItem('Time', [time_range], 'range'))
else:
pivot_req.header.append(definition.PivotTimeItem('Time', [], 'AllData'))
if self.transform is not None:
pivot_req.transform = self.transform
if self.columns is not None:
pivot_req.columns = self.columns
return pivot_req
|
|
14,010
|
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"value": "Selection for dimension {} contains invalid elements"}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "ValueError", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "cause": null}}]}}], "iter": {"_type": "Name", "_fields": {"id": "splited_values", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "value", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "members", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "_get_dim_members", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def _get_dim_members(self, dim, splited_values):
members = []
for value in splited_values:
if value is None or isinstance(value, str) and not value:
raise ValueError('Selection for dimension {} is empty'.format(dim.name))
member = dim.find_member_by_id(value)
if member is None:
member = dim.find_member_by_name(value)
if member is None:
member = dim.find_member_by_regionid(value)
if member is None:
member = dim.find_member_by_ticker(value)
if member is None and value.isnumeric():
member = dim.find_member_by_key(int(value))
if member:
members.append(member.key)
else:
raise ValueError('Selection for dimension {} contains invalid elements'.format(dim.name))
return members
|
|
14,011
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] | 10
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null}}]}}, "orelse": []}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "pivot_req", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "_create_pivot_request", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def _create_pivot_request(self):
pivot_req = definition.PivotRequest(self.dataset.id)
filter_dims = []
time_range = None
for name, value in self.dim_values.items():
if definition.is_equal_strings_ignore_case(name, 'timerange'):
time_range = value
continue
splited_values = value.split(self.separator) if isinstance(value, str) else value
if definition.is_equal_strings_ignore_case(name, 'frequency'):
pivot_req.frequencies = splited_values
continue
dim = self._find_dimension(name)
if dim is None:
raise ValueError('Dimension with id or name {} is not found'.
format(name))
filter_dims.append(dim)
for dimension in self.dimensions:
if dimension.id == dim.id:
dim = dimension
break
aggregations = None
if len(splited_values) > 0 and splited_values[0].startswith('@'):
aggregations = splited_values[0][1:]
splited_values = splited_values[1:]
members = self._get_dim_members(dim, splited_values)
if not members and aggregations == None:
raise ValueError('Selection for dimension {} is empty'.format(dim.name))
pivot_req.stub.append(definition.PivotItem(dim.id, members, aggregations = aggregations))
self._add_full_selection_by_empty_dim_values(filter_dims, pivot_req)
if time_range:
pivot_req.header.append(definition.PivotTimeItem('Time', [time_range], 'range'))
else:
pivot_req.header.append(definition.PivotTimeItem('Time', [], 'AllData'))
if self.transform is not None:
pivot_req.transform = self.transform
if self.columns is not None:
pivot_req.columns = self.columns
return pivot_req
|
|
14,012
|
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"_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": false}}, "targets": [{"_type": "Name", "_fields": {"id": "find_elem", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Continue", "_fields": {}}], "test": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "isSystemField"}}, "value": {"_type": "Name", "_fields": {"id": "attr", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": []}}, {"_type": "For", "_fields": {"body": [{"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}, "targets": [{"_type": "Name", "_fields": {"id": "find_elem", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "value", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Name", "_fields": {"id": "names", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Break", "_fields": {}}], "test": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "key", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "name"}}, "value": {"_type": "Name", "_fields": {"id": "attr", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "is_equal_strings_ignore_case", "value": {"_type": "Name", "_fields": {"id": "definition", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "orelse": []}}], "iter": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "items", "value": {"_type": "Name", "_fields": {"id": "dim_attrs", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "orelse": [], "target": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "key", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "value", "ctx": {"_type": "Store", "_fields": {}}}}]}}, "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Name", "_fields": {"id": "names", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Name", "_fields": {"id": "find_elem", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": []}}], "iter": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "fields", "value": {"_type": "Name", "_fields": {"id": "dim", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "attr", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "iter": {"_type": "Name", "_fields": {"id": "resp_dims", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "dim", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "Unit"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get", "value": {"_type": "Name", "_fields": {"id": "series_point", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Name", "_fields": {"id": "names", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "Scale"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get", "value": {"_type": "Name", "_fields": {"id": "series_point", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Name", "_fields": {"id": "names", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "Mnemonics"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get", "value": {"_type": "Name", "_fields": {"id": "series_point", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Name", "_fields": {"id": "names", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "For", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "name", "value": {"_type": "Name", "_fields": {"id": "attr", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get", "value": {"_type": "Name", "_fields": {"id": "series_point", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Name", "_fields": {"id": "names", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "iter": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "timeseries_attributes", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "dataset", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "attr", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "names", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "tuple", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "_get_series_with_metadata", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}, {"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "resp", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "ListComp", "_fields": {"elt": {"_type": "Name", "_fields": {"id": "dim", "ctx": {"_type": "Load", "_fields": {}}}}, "generators": [{"_type": "comprehension", "_fields": {"ifs": [{"_type": "BoolOp", "_fields": {"op": {"_type": "And", "_fields": {}}, "values": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "fields", "value": {"_type": "Name", "_fields": {"id": "dim", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "fields", "value": {"_type": "Name", "_fields": {"id": "dim", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "any", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}]}}], "iter": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "header", "value": {"_type": "Name", "_fields": {"id": "resp", "ctx": {"_type": "Load", "_fields": {}}}}}}, "right": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "stub", "value": {"_type": "Name", "_fields": {"id": "resp", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "right": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "filter", "value": {"_type": "Name", "_fields": {"id": "resp", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "target": {"_type": "Name", "_fields": {"id": "dim", "ctx": {"_type": "Store", "_fields": {}}}}, "is_async": 0}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "resp_dims", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": []}}, "targets": [{"_type": "Name", "_fields": {"id": "names", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "For", "_fields": {"body": [{"_type": "For", "_fields": {"body": [{"_type": "If", "_fields": {"body": [{"_type": "For", "_fields": {"body": [{"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "name", "value": {"_type": "Name", "_fields": {"id": "d", "ctx": {"_type": "Load", "_fields": {}}}}}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": " "}}}}, "right": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "displayName"}}, "value": {"_type": "Name", "_fields": {"id": "attr", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Name", "_fields": {"id": "names", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "isSystemField"}}, "value": {"_type": "Name", "_fields": {"id": "attr", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "orelse": []}}], "iter": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "fields", "value": {"_type": "Name", "_fields": {"id": "dim", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "attr", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "Break", "_fields": {}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "dimensionid", "value": {"_type": "Name", "_fields": {"id": "dim", "ctx": {"_type": "Load", "_fields": {}}}}}}, "comparators": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "id", "value": {"_type": "Name", "_fields": {"id": "d", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "orelse": []}}], "iter": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "dimensions", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "dataset", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "d", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "iter": {"_type": "Name", "_fields": {"id": "resp_dims", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "dim", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "Unit"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Name", "_fields": {"id": "names", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "Scale"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Name", "_fields": {"id": "names", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "Mnemonics"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Name", "_fields": {"id": "names", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "For", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "name", "value": {"_type": "Name", "_fields": {"id": "attr", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Name", "_fields": {"id": "names", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "iter": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "timeseries_attributes", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "dataset", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "attr", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "names", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "_get_attribute_names", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "PivotResponseReader", "bases": [{"_type": "Name", "_fields": {"id": "ResponseReader", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
|
class PivotResponseReader(ResponseReader):
def __init__(self, reader, pivot_resp):
self.pivot_resp = pivot_resp
super().__init__(reader)
def get_pandasframe(self):
names_of_dimensions = self.reader._get_dimension_names()
# create dataframe with data
detail_columns = self._get_detail_columns(self.pivot_resp)
series = self._get_data_series(self.pivot_resp, detail_columns)
pandas_series = PandasHelper.creates_pandas_series(series, {}, detail_columns)
pandas_data_frame = PandasHelper.create_pandas_dataframe(pandas_series, names_of_dimensions, detail_columns)
if not self.include_metadata:
return pandas_data_frame
# create dataframe with metadata
series_with_attr = self._get_metadata_series(self.pivot_resp)
pandas_series_with_attr = PandasHelper.creates_pandas_series(series_with_attr, {}, None)
pandas_data_frame_with_attr = PandasHelper.create_pandas_dataframe(pandas_series_with_attr, names_of_dimensions, None)
return pandas_data_frame, pandas_data_frame_with_attr
def _get_data_series(self, resp, detail_columns):
series_map = {}
columns = None
frequency_list = []
for series_point in resp.tuples:
val = series_point['Value']
if val is None:
continue
series_name = self._get_series_name(series_point)
if series_name in series_map:
series = series_map[series_name]
else:
series = KnoemaSeries(series_name, [], [], detail_columns)
series_map[series_name] = series
freq = series_point['Frequency']
if 'Time' in series_point:
curr_date_val = series_point['Time']
try:
curr_date_val = datetime.strptime(series_point['Time'], '%Y-%m-%dT%H:%M:%SZ')
if (freq == "W"):
curr_date_val = curr_date_val - timedelta(days = curr_date_val.weekday())
except ValueError:
pass
else:
curr_date_val = 'All time'
if freq not in frequency_list:
frequency_list.append(freq)
if freq == "W":
curr_date_val = curr_date_val - timedelta(days = curr_date_val.weekday())
if freq == "FQ":
curr_date_val = TimeFormat.format_statistical(curr_date_val, 'FQ')
if detail_columns is not None:
columns = []
for column_name in detail_columns:
columns.append(series_point[column_name])
series.add_value(series_point['Value'], curr_date_val, columns)
if 'FQ' in frequency_list and len(frequency_list) > 1:
raise ValueError('Please provide a valid frequency list. You can request FQ or others frequencies not together.')
return series_map
def _get_series_name(self, series_point):
names = []
for dim in self.dataset.dimensions:
if dim.id in series_point:
names.append(series_point[dim.id])
if self.dataset.has_time:
names.append(series_point['Frequency'])
return tuple(names)
def _get_metadata_series(self, resp):
series = {}
names_of_attributes = self._get_attribute_names(resp)
for series_point in resp.tuples:
serie_name = self._get_series_name(series_point)
if serie_name not in series:
serie_attrs = self._get_series_with_metadata(series_point, resp)
series[serie_name] = KnoemaSeries(serie_name, serie_attrs, names_of_attributes, None)
return series
def _get_series_with_metadata(self, series_point, resp):
names = []
resp_dims = [dim for dim in (resp.header + resp.stub + resp.filter) if dim.fields and any(dim.fields)]
for dim in resp_dims:
if dim.dimensionid == 'Time' or not dim.metadataFields:
continue
for item in dim.metadataFields:
if item.name == series_point[dim.dimensionid]:
dim_attrs = item.fields
break
for attr in dim.fields:
find_elem = False
if attr['isSystemField']:
continue
for key, value in dim_attrs.items():
if definition.is_equal_strings_ignore_case(key, attr['name']):
find_elem = True
names.append(value)
break
if not find_elem:
names.append(None)
names.append(series_point.get('Unit'))
names.append(series_point.get('Scale'))
names.append(series_point.get('Mnemonics'))
for attr in self.dataset.timeseries_attributes:
names.append(series_point.get(attr.name))
return tuple(names)
def _get_attribute_names(self, resp):
resp_dims = [dim for dim in (resp.header + resp.stub + resp.filter) if dim.fields and any(dim.fields)]
names = []
for dim in resp_dims:
for d in self.dataset.dimensions:
if dim.dimensionid == d.id:
for attr in dim.fields:
if not attr['isSystemField']:
names.append(d.name + ' ' + attr["displayName"])
break
names.append('Unit')
names.append('Scale')
names.append('Mnemonics')
for attr in self.dataset.timeseries_attributes:
names.append(attr.name)
return names
|
|
14,013
|
[
0.011344479396939278,
0.03762512654066086,
0.01476096361875534,
-0.01989663951098919,
-0.01623925007879734,
-0.025579828768968582,
-0.003561575198546052,
0.034033436328172684,
-0.023477377369999886,
-0.0018328013829886913,
-0.011410180479288101,
-0.039026759564876556,
0.018626408651471138,
-0.0024186407681554556,
-0.03790983185172081,
-0.005453234072774649,
0.024462902918457985,
0.026455851271748543,
-0.024769509211182594,
0.10442177206277847,
0.05317451059818268,
0.005825543310493231,
-0.018330750986933708,
-0.03280700743198395,
-0.01328267715871334,
0.04058169946074486,
-0.02864590473473072,
0.09496073424816132,
0.0019190347520634532,
-0.021812936291098595,
-0.03230329602956772,
-0.002259861910715699,
0.007073874119669199,
0.03368302807211876,
-0.0034657602664083242,
-0.05799262598156929,
-0.007993697188794613,
-0.016403503715991974,
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] | 10
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|
class ResponseReader(object):
def __init__(self, reader):
self.include_metadata = reader.include_metadata
self.dataset = reader.dataset
self.reader = reader
super().__init__()
def _get_detail_columns(self, resp):
detail_columns = []
if resp.descriptor is not None and 'detailColumns' in resp.descriptor and resp.descriptor['detailColumns'] is not None:
for column in resp.descriptor['detailColumns']:
detail_columns.append(column['name'])
return detail_columns if len(detail_columns) > 0 else None
|
|
14,014
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|
def get_pandasframe(self):
names_of_dimensions = self.reader._get_dimension_names()
# create dataframe with data
detail_columns = self._get_detail_columns(self.pivot_resp)
series = self._get_data_series(self.pivot_resp, detail_columns)
pandas_series = PandasHelper.creates_pandas_series(series, {}, detail_columns)
pandas_data_frame = PandasHelper.create_pandas_dataframe(pandas_series, names_of_dimensions, detail_columns)
if not self.include_metadata:
return pandas_data_frame
# create dataframe with metadata
series_with_attr = self._get_metadata_series(self.pivot_resp)
pandas_series_with_attr = PandasHelper.creates_pandas_series(series_with_attr, {}, None)
pandas_data_frame_with_attr = PandasHelper.create_pandas_dataframe(pandas_series_with_attr, names_of_dimensions, None)
return pandas_data_frame, pandas_data_frame_with_attr
|
|
14,015
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"_fields": {"id": "series", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Name", "_fields": {"id": "series", "ctx": {"_type": "Load", "_fields": {}}}}, "targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "series_name", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Name", "_fields": {"id": "series_map", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}]}}, {"_type": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "Frequency"}}, "value": {"_type": "Name", "_fields": {"id": "series_point", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "freq", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "Time"}}, "value": {"_type": "Name", "_fields": {"id": "series_point", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "curr_date_val", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Try", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "Time"}}, "value": {"_type": "Name", "_fields": {"id": "series_point", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "%Y-%m-%dT%H:%M:%SZ"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "strptime", "value": {"_type": "Name", "_fields": {"id": "datetime", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "curr_date_val", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Sub", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "curr_date_val", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "timedelta", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "days", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "weekday", "value": {"_type": "Name", "_fields": {"id": "curr_date_val", "ctx": {"_type": "Load", "_fields": {}}}}}}, 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"Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": "W"}}]}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "curr_date_val", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "FQ"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "format_statistical", "value": {"_type": "Name", "_fields": {"id": "TimeFormat", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "curr_date_val", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "freq", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": "FQ"}}]}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": []}}, "targets": [{"_type": "Name", "_fields": {"id": "columns", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "For", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "column_name", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Name", "_fields": {"id": "series_point", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Name", "_fields": {"id": "columns", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "iter": {"_type": "Name", "_fields": {"id": "detail_columns", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "column_name", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "IsNot", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "detail_columns", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}]}}, "orelse": []}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "Value"}}, "value": {"_type": "Name", "_fields": {"id": "series_point", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Name", "_fields": {"id": "curr_date_val", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "columns", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "add_value", "value": {"_type": "Name", "_fields": {"id": "series", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "iter": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "tuples", "value": {"_type": "Name", "_fields": {"id": "resp", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "series_point", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "Please provide a valid frequency list. You can request FQ or others frequencies not together."}}], "func": {"_type": "Name", "_fields": {"id": "ValueError", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "cause": null}}], "test": {"_type": "BoolOp", "_fields": {"op": {"_type": "And", "_fields": {}}, "values": [{"_type": "Compare", "_fields": {"ops": [{"_type": "In", "_fields": {}}], "left": {"_type": "Constant", "_fields": {"kind": null, "value": "FQ"}}, "comparators": [{"_type": "Name", "_fields": {"id": "frequency_list", "ctx": {"_type": "Load", "_fields": {}}}}]}}, {"_type": "Compare", "_fields": {"ops": [{"_type": "Gt", "_fields": {}}], "left": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "frequency_list", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "len", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": 1}}]}}]}}, "orelse": []}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "series_map", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "_get_data_series", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def _get_data_series(self, resp, detail_columns):
series_map = {}
columns = None
frequency_list = []
for series_point in resp.tuples:
val = series_point['Value']
if val is None:
continue
series_name = self._get_series_name(series_point)
if series_name in series_map:
series = series_map[series_name]
else:
series = KnoemaSeries(series_name, [], [], detail_columns)
series_map[series_name] = series
freq = series_point['Frequency']
if 'Time' in series_point:
curr_date_val = series_point['Time']
try:
curr_date_val = datetime.strptime(series_point['Time'], '%Y-%m-%dT%H:%M:%SZ')
if (freq == "W"):
curr_date_val = curr_date_val - timedelta(days = curr_date_val.weekday())
except ValueError:
pass
else:
curr_date_val = 'All time'
if freq not in frequency_list:
frequency_list.append(freq)
if freq == "W":
curr_date_val = curr_date_val - timedelta(days = curr_date_val.weekday())
if freq == "FQ":
curr_date_val = TimeFormat.format_statistical(curr_date_val, 'FQ')
if detail_columns is not None:
columns = []
for column_name in detail_columns:
columns.append(series_point[column_name])
series.add_value(series_point['Value'], curr_date_val, columns)
if 'FQ' in frequency_list and len(frequency_list) > 1:
raise ValueError('Please provide a valid frequency list. You can request FQ or others frequencies not together.')
return series_map
|
|
14,016
|
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] | 9
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{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "resp", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Dict", "_fields": {"keys": [], "values": []}}, "targets": [{"_type": "Name", "_fields": {"id": "series", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "resp", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_get_attribute_names", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "names_of_attributes", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "For", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "series_point", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_get_series_name", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "serie_name", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "series_point", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "resp", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_get_series_with_metadata", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "serie_attrs", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "serie_name", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "serie_attrs", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "names_of_attributes", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": null}}], "func": {"_type": "Name", "_fields": {"id": "KnoemaSeries", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "serie_name", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Name", "_fields": {"id": "series", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "NotIn", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "serie_name", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Name", "_fields": {"id": "series", "ctx": {"_type": "Load", "_fields": {}}}}]}}, "orelse": []}}], "iter": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "tuples", "value": {"_type": "Name", "_fields": {"id": "resp", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "series_point", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "series", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "_get_metadata_series", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def _get_metadata_series(self, resp):
series = {}
names_of_attributes = self._get_attribute_names(resp)
for series_point in resp.tuples:
serie_name = self._get_series_name(series_point)
if serie_name not in series:
serie_attrs = self._get_series_with_metadata(series_point, resp)
series[serie_name] = KnoemaSeries(serie_name, serie_attrs, names_of_attributes, None)
return series
|
|
14,017
|
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] | 10
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{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "series_point", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": []}}, "targets": [{"_type": "Name", "_fields": {"id": "names", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "For", "_fields": {"body": [{"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "id", "value": {"_type": "Name", "_fields": {"id": "dim", "ctx": {"_type": "Load", "_fields": {}}}}}}, "value": {"_type": "Name", "_fields": {"id": "series_point", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Name", "_fields": {"id": "names", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "In", "_fields": {}}], "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "id", "value": {"_type": "Name", "_fields": {"id": "dim", "ctx": {"_type": "Load", "_fields": {}}}}}}, "comparators": [{"_type": "Name", "_fields": {"id": "series_point", "ctx": {"_type": "Load", "_fields": {}}}}]}}, "orelse": []}}], "iter": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "dimensions", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "dataset", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "dim", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "Frequency"}}, "value": {"_type": "Name", "_fields": {"id": "series_point", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Name", "_fields": {"id": "names", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "has_time", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "dataset", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "orelse": []}}, {"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "names", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "tuple", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "_get_series_name", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def _get_series_name(self, series_point):
names = []
for dim in self.dataset.dimensions:
if dim.id in series_point:
names.append(series_point[dim.id])
if self.dataset.has_time:
names.append(series_point['Frequency'])
return tuple(names)
|
|
14,018
|
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"type_ignores": []}}
|
def _get_attribute_names(self, resp):
resp_dims = [dim for dim in (resp.header + resp.stub + resp.filter) if dim.fields and any(dim.fields)]
names = []
for dim in resp_dims:
for d in self.dataset.dimensions:
if dim.dimensionid == d.id:
for attr in dim.fields:
if not attr['isSystemField']:
names.append(d.name + ' ' + attr["displayName"])
break
names.append('Unit')
names.append('Scale')
names.append('Mnemonics')
for attr in self.dataset.timeseries_attributes:
names.append(attr.name)
return names
|
|
14,019
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|
def _get_series_with_metadata(self, series_point, resp):
names = []
resp_dims = [dim for dim in (resp.header + resp.stub + resp.filter) if dim.fields and any(dim.fields)]
for dim in resp_dims:
if dim.dimensionid == 'Time' or not dim.metadataFields:
continue
for item in dim.metadataFields:
if item.name == series_point[dim.dimensionid]:
dim_attrs = item.fields
break
for attr in dim.fields:
find_elem = False
if attr['isSystemField']:
continue
for key, value in dim_attrs.items():
if definition.is_equal_strings_ignore_case(key, attr['name']):
find_elem = True
names.append(value)
break
if not find_elem:
names.append(None)
names.append(series_point.get('Unit'))
names.append(series_point.get('Scale'))
names.append(series_point.get('Mnemonics'))
for attr in self.dataset.timeseries_attributes:
names.append(series_point.get(attr.name))
return tuple(names)
|
|
14,020
|
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{}}, "slice": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "name", "value": {"_type": "Name", "_fields": {"id": "attr", "ctx": {"_type": "Load", "_fields": {}}}}}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "timeseriesAttributes"}}, "value": {"_type": "Name", "_fields": {"id": "series_point", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Name", "_fields": {"id": "names", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "iter": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "timeseries_attributes", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "dataset", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "attr", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "names", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "tuple", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "_get_series_with_metadata", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "StreamingResponseReader", "bases": [{"_type": "Name", "_fields": {"id": "ResponseReader", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
|
class StreamingResponseReader(ResponseReader):
def __init__(self, reader, data_streaming):
self.data_streaming = data_streaming
super().__init__(reader)
def get_pandasframe(self):
detail_columns = self._get_detail_columns(self.data_streaming)
# create dataframe with data
series = self._get_data_series(self.data_streaming, detail_columns)
pandas_series = {}
names_of_dimensions = self.reader._get_dimension_names()
if self.include_metadata:
pandas_series_with_attr = {}
names_of_attributes = self._get_attribute_names()
pandas_series = PandasHelper.creates_pandas_series(series, pandas_series, detail_columns)
pandas_data_frame = PandasHelper.create_pandas_dataframe(pandas_series, names_of_dimensions, detail_columns)
if not self.include_metadata:
return pandas_data_frame
# create dataframe with metadata
series_with_attr = self._get_metadata_series(self.data_streaming, names_of_attributes)
pandas_series_with_attr = PandasHelper.creates_pandas_series(series_with_attr, pandas_series_with_attr, None)
pandas_data_frame_with_attr = PandasHelper.create_pandas_dataframe(pandas_series_with_attr, names_of_dimensions, None)
return pandas_data_frame, pandas_data_frame_with_attr
def _get_data_series(self, resp, detail_columns):
series_map = {}
dict_with_delta = TimeFormat.get_frequencies_delta()
frequency_list = []
use_stat_format_for_date_label = self._get_use_stat_format_for_date_label(resp.series)
dimensions_members_with_id = self._get_dimensions_members_with_id(resp.series)
detail_values = None
for series_point in resp.series:
all_values = series_point['values']
series_name = self._get_series_name(series_point, dimensions_members_with_id)
if detail_columns is not None:
detail_values = []
for column_name in detail_columns:
detail_values.append(series_point[column_name])
date_format = '%Y-%m-%dT%H:%M:%S' + ('Z' if series_point['startDate'].endswith('Z') else '')
data_begin_val = datetime.strptime(series_point['startDate'], date_format)
freq = series_point['frequency']
if freq not in frequency_list:
frequency_list.append(freq)
if (freq == "W"):
data_begin_val = data_begin_val - timedelta(days = data_begin_val.weekday())
delta = dict_with_delta[freq]
series = KnoemaSeries(series_name, [], [], detail_columns)
date_labels = series_point['dateLabels'] if 'dateLabels' in series_point else None
curr_date_val = data_begin_val
for vi in range(0, len(all_values)):
val = all_values[vi]
if val is not None:
date = curr_date_val if freq != 'FQ' else TimeFormat.format_statistical(curr_date_val, 'FQ')
if freq in use_stat_format_for_date_label or date_labels is not None and date_labels[vi] is not None:
date = TimeFormat.format_statistical(curr_date_val, freq) \
if freq in use_stat_format_for_date_label else datetime.strptime(date_labels[vi], date_format)
series.index.append(date)
series.values.append(val)
for ai in range(0, series.column_count):
series.column_values[ai].append(detail_values[ai][vi])
curr_date_val += delta
series_map[series_name] = series
if 'FQ' in frequency_list and len(frequency_list) > 1:
raise ValueError('Please provide a valid frequency list. You can request FQ or others frequencies not together.')
return series_map
def _get_use_stat_format_for_date_label(self, series):
use_stat_format_for_date_label = {}
date_labels_by_freq = {}
has_date_labels_by_freq = {}
dict_with_delta = TimeFormat.get_frequencies_delta()
for series_point in series:
freq = series_point['frequency']
if freq in use_stat_format_for_date_label:
continue
has_date_labels = 'dateLabels' in series_point
if freq in has_date_labels_by_freq and has_date_labels_by_freq[freq] != has_date_labels:
use_stat_format_for_date_label[freq] = True
continue
has_date_labels_by_freq[freq] = has_date_labels
if not has_date_labels:
continue
if freq not in date_labels_by_freq:
date_labels_by_freq[freq] = {}
date_labels = series_point['dateLabels']
all_values = series_point['values']
date_format = '%Y-%m-%dT%H:%M:%S' + ('Z' if series_point['startDate'].endswith('Z') else '')
data_begin_val = datetime.strptime(series_point['startDate'], date_format)
if (freq == "W"):
data_begin_val = data_begin_val - timedelta(days = data_begin_val.weekday())
delta = dict_with_delta[freq]
curr_date_val = data_begin_val
for vi in range(0, len(all_values)):
if curr_date_val in date_labels_by_freq[freq]:
if date_labels[vi] is not None and date_labels_by_freq[freq][curr_date_val] != date_labels[vi]:
use_stat_format_for_date_label[freq] = True
break
else:
date_labels_by_freq[freq][curr_date_val] = date_labels[vi]
curr_date_val += delta
return use_stat_format_for_date_label
def _get_dimensions_members_with_id(self, series):
dimensions_members_with_id = {}
for dim in self.dataset.dimensions:
names = set()
names_with_id = set()
ids = set()
for series_point in series:
name = series_point[dim.id]['name'] if 'name' in series_point[dim.id] else series_point[dim.id]
id = series_point[dim.id]['id'] if 'id' in series_point[dim.id] else str(series_point[dim.id])
if (name in names and id not in ids):
names_with_id.add(name)
else:
names.add(name)
ids.add(id)
if (len(names_with_id) > 0):
dimensions_members_with_id[dim.id] = names_with_id
return dimensions_members_with_id
def _get_series_name(self, series_point, dimensions_members_with_id):
names = []
for dim in self.dataset.dimensions:
name = series_point[dim.id]['name'] if 'name' in series_point[dim.id] else series_point[dim.id]
members_with_id = dimensions_members_with_id[dim.id] if dim.id in dimensions_members_with_id else []
if (name in members_with_id):
id = series_point[dim.id]['id'] if 'id' in series_point[dim.id] else series_point[dim.id]
name = name + '(' + id + ')'
names.append(name)
if 'frequency' in series_point:
names.append(series_point['frequency'])
return tuple(names)
def _get_attribute_names(self):
names = []
for dim in self.dataset.dimensions:
for attr in self.data_streaming.dimensionFields[dim.id]:
if not attr['isSystemField']:
names.append(dim.name +' '+ attr['displayName'])
names.append('Unit')
names.append('Scale')
names.append('Mnemonics')
for attr in self.dataset.timeseries_attributes:
names.append(attr.name)
return names
def _get_metadata_series(self, resp, names_of_attributes):
series = {}
dimensions_members_with_id = self._get_dimensions_members_with_id(resp.series)
for series_point in resp.series:
serie_name = self._get_series_name(series_point, dimensions_members_with_id)
if serie_name not in series:
serie_attrs = self._get_series_with_metadata(series_point, resp.dimensionFields)
series[serie_name] = KnoemaSeries(serie_name, serie_attrs, names_of_attributes, None)
return series
def _get_series_with_metadata(self, series_point, dimensionFields):
names = []
for dim in self.dataset.dimensions:
dimFields = dimensionFields[dim.id]
dimValues = series_point[dim.id]
for attr in dimFields:
if not attr['isSystemField']:
if attr['name'] in dimValues:
names.append(dimValues[attr['name']])
else:
names.append(None)
names.append(series_point.get('unit'))
names.append(series_point.get('scale'))
names.append(series_point.get('mnemonics'))
for attr in self.dataset.timeseries_attributes:
names.append(series_point['timeseriesAttributes'][attr.name])
return tuple(names)
|
|
14,021
|
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"pandas_data_frame_with_attr", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}], "name": "get_pandasframe", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def get_pandasframe(self):
detail_columns = self._get_detail_columns(self.data_streaming)
# create dataframe with data
series = self._get_data_series(self.data_streaming, detail_columns)
pandas_series = {}
names_of_dimensions = self.reader._get_dimension_names()
if self.include_metadata:
pandas_series_with_attr = {}
names_of_attributes = self._get_attribute_names()
pandas_series = PandasHelper.creates_pandas_series(series, pandas_series, detail_columns)
pandas_data_frame = PandasHelper.create_pandas_dataframe(pandas_series, names_of_dimensions, detail_columns)
if not self.include_metadata:
return pandas_data_frame
# create dataframe with metadata
series_with_attr = self._get_metadata_series(self.data_streaming, names_of_attributes)
pandas_series_with_attr = PandasHelper.creates_pandas_series(series_with_attr, pandas_series_with_attr, None)
pandas_data_frame_with_attr = PandasHelper.create_pandas_dataframe(pandas_series_with_attr, names_of_dimensions, None)
return pandas_data_frame, pandas_data_frame_with_attr
|
|
14,022
|
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{"id": "timedelta", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "days", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "weekday", "value": {"_type": "Name", "_fields": {"id": "data_begin_val", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}]}}}}, "targets": [{"_type": "Name", "_fields": {"id": "data_begin_val", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "freq", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": "W"}}]}}, "orelse": []}}, {"_type": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "freq", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Name", "_fields": {"id": "dict_with_delta", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "delta", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "series_name", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": []}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": []}}, {"_type": "Name", "_fields": {"id": "detail_columns", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "KnoemaSeries", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "series", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "IfExp", "_fields": {"body": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "dateLabels"}}, "value": {"_type": "Name", "_fields": {"id": "series_point", "ctx": {"_type": "Load", "_fields": {}}}}}}, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "In", "_fields": {}}], "left": {"_type": "Constant", "_fields": {"kind": null, "value": "dateLabels"}}, "comparators": [{"_type": "Name", "_fields": {"id": "series_point", "ctx": {"_type": "Load", "_fields": {}}}}]}}, "orelse": {"_type": "Constant", "_fields": {"kind": null, "value": null}}}}, "targets": [{"_type": "Name", "_fields": {"id": "date_labels", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Name", "_fields": {"id": "data_begin_val", "ctx": {"_type": "Load", "_fields": {}}}}, "targets": [{"_type": "Name", "_fields": {"id": "curr_date_val", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "For", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "vi", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Name", "_fields": {"id": "all_values", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "val", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "IfExp", "_fields": {"body": {"_type": "Name", "_fields": {"id": "curr_date_val", "ctx": {"_type": "Load", "_fields": {}}}}, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "NotEq", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "freq", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": "FQ"}}]}}, "orelse": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "curr_date_val", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "FQ"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "format_statistical", "value": {"_type": "Name", "_fields": {"id": "TimeFormat", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "targets": [{"_type": "Name", "_fields": {"id": "date", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "IfExp", "_fields": {"body": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "curr_date_val", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "freq", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "format_statistical", "value": {"_type": "Name", "_fields": {"id": "TimeFormat", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "In", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "freq", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Name", "_fields": {"id": "use_stat_format_for_date_label", "ctx": {"_type": "Load", "_fields": {}}}}]}}, "orelse": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "vi", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Name", "_fields": {"id": "date_labels", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Name", "_fields": {"id": "date_format", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", 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You can request FQ or others frequencies not together."}}], "func": {"_type": "Name", "_fields": {"id": "ValueError", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "cause": null}}], "test": {"_type": "BoolOp", "_fields": {"op": {"_type": "And", "_fields": {}}, "values": [{"_type": "Compare", "_fields": {"ops": [{"_type": "In", "_fields": {}}], "left": {"_type": "Constant", "_fields": {"kind": null, "value": "FQ"}}, "comparators": [{"_type": "Name", "_fields": {"id": "frequency_list", "ctx": {"_type": "Load", "_fields": {}}}}]}}, {"_type": "Compare", "_fields": {"ops": [{"_type": "Gt", "_fields": {}}], "left": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "frequency_list", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "len", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": 1}}]}}]}}, "orelse": []}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "series_map", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "_get_data_series", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def _get_data_series(self, resp, detail_columns):
series_map = {}
dict_with_delta = TimeFormat.get_frequencies_delta()
frequency_list = []
use_stat_format_for_date_label = self._get_use_stat_format_for_date_label(resp.series)
dimensions_members_with_id = self._get_dimensions_members_with_id(resp.series)
detail_values = None
for series_point in resp.series:
all_values = series_point['values']
series_name = self._get_series_name(series_point, dimensions_members_with_id)
if detail_columns is not None:
detail_values = []
for column_name in detail_columns:
detail_values.append(series_point[column_name])
date_format = '%Y-%m-%dT%H:%M:%S' + ('Z' if series_point['startDate'].endswith('Z') else '')
data_begin_val = datetime.strptime(series_point['startDate'], date_format)
freq = series_point['frequency']
if freq not in frequency_list:
frequency_list.append(freq)
if (freq == "W"):
data_begin_val = data_begin_val - timedelta(days = data_begin_val.weekday())
delta = dict_with_delta[freq]
series = KnoemaSeries(series_name, [], [], detail_columns)
date_labels = series_point['dateLabels'] if 'dateLabels' in series_point else None
curr_date_val = data_begin_val
for vi in range(0, len(all_values)):
val = all_values[vi]
if val is not None:
date = curr_date_val if freq != 'FQ' else TimeFormat.format_statistical(curr_date_val, 'FQ')
if freq in use_stat_format_for_date_label or date_labels is not None and date_labels[vi] is not None:
date = TimeFormat.format_statistical(curr_date_val, freq) \
if freq in use_stat_format_for_date_label else datetime.strptime(date_labels[vi], date_format)
series.index.append(date)
series.values.append(val)
for ai in range(0, series.column_count):
series.column_values[ai].append(detail_values[ai][vi])
curr_date_val += delta
series_map[series_name] = series
if 'FQ' in frequency_list and len(frequency_list) > 1:
raise ValueError('Please provide a valid frequency list. You can request FQ or others frequencies not together.')
return series_map
|
|
14,023
|
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0.007097251247614622,
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0.0038113773334771395,
0.025035228580236435,
0.04140260070562363,
0.002971457317471504,
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0.0100436145439744,
0.029806092381477356,
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0.031553834676742554,
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"_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "vi", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Name", "_fields": {"id": "date_labels", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "curr_date_val", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "freq", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Name", "_fields": {"id": "date_labels_by_freq", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "type_comment": null}}]}}, {"_type": "AugAssign", "_fields": {"op": {"_type": "Add", "_fields": {}}, "value": {"_type": "Name", "_fields": {"id": "delta", "ctx": {"_type": "Load", "_fields": {}}}}, "target": {"_type": "Name", "_fields": {"id": "curr_date_val", "ctx": {"_type": "Store", "_fields": {}}}}}}], "iter": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 0}}, {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "all_values", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "len", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "range", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "vi", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "iter": {"_type": "Name", "_fields": {"id": "series", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "series_point", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "use_stat_format_for_date_label", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "_get_use_stat_format_for_date_label", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def _get_use_stat_format_for_date_label(self, series):
use_stat_format_for_date_label = {}
date_labels_by_freq = {}
has_date_labels_by_freq = {}
dict_with_delta = TimeFormat.get_frequencies_delta()
for series_point in series:
freq = series_point['frequency']
if freq in use_stat_format_for_date_label:
continue
has_date_labels = 'dateLabels' in series_point
if freq in has_date_labels_by_freq and has_date_labels_by_freq[freq] != has_date_labels:
use_stat_format_for_date_label[freq] = True
continue
has_date_labels_by_freq[freq] = has_date_labels
if not has_date_labels:
continue
if freq not in date_labels_by_freq:
date_labels_by_freq[freq] = {}
date_labels = series_point['dateLabels']
all_values = series_point['values']
date_format = '%Y-%m-%dT%H:%M:%S' + ('Z' if series_point['startDate'].endswith('Z') else '')
data_begin_val = datetime.strptime(series_point['startDate'], date_format)
if (freq == "W"):
data_begin_val = data_begin_val - timedelta(days = data_begin_val.weekday())
delta = dict_with_delta[freq]
curr_date_val = data_begin_val
for vi in range(0, len(all_values)):
if curr_date_val in date_labels_by_freq[freq]:
if date_labels[vi] is not None and date_labels_by_freq[freq][curr_date_val] != date_labels[vi]:
use_stat_format_for_date_label[freq] = True
break
else:
date_labels_by_freq[freq][curr_date_val] = date_labels[vi]
curr_date_val += delta
return use_stat_format_for_date_label
|
|
14,024
|
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"dataset", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "dim", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "frequency"}}, "value": {"_type": "Name", "_fields": {"id": "series_point", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Name", "_fields": {"id": "names", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "In", "_fields": {}}], "left": {"_type": "Constant", "_fields": {"kind": null, "value": "frequency"}}, "comparators": [{"_type": "Name", "_fields": {"id": "series_point", "ctx": {"_type": "Load", "_fields": {}}}}]}}, "orelse": []}}, {"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "names", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "tuple", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "_get_series_name", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def _get_series_name(self, series_point, dimensions_members_with_id):
names = []
for dim in self.dataset.dimensions:
name = series_point[dim.id]['name'] if 'name' in series_point[dim.id] else series_point[dim.id]
members_with_id = dimensions_members_with_id[dim.id] if dim.id in dimensions_members_with_id else []
if (name in members_with_id):
id = series_point[dim.id]['id'] if 'id' in series_point[dim.id] else series_point[dim.id]
name = name + '(' + id + ')'
names.append(name)
if 'frequency' in series_point:
names.append(series_point['frequency'])
return tuple(names)
|
|
14,025
|
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{"ops": [{"_type": "Gt", "_fields": {}}], "left": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "names_with_id", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "len", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": 0}}]}}, "orelse": []}}], "iter": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "dimensions", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "dataset", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "dim", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "dimensions_members_with_id", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "_get_dimensions_members_with_id", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def _get_dimensions_members_with_id(self, series):
dimensions_members_with_id = {}
for dim in self.dataset.dimensions:
names = set()
names_with_id = set()
ids = set()
for series_point in series:
name = series_point[dim.id]['name'] if 'name' in series_point[dim.id] else series_point[dim.id]
id = series_point[dim.id]['id'] if 'id' in series_point[dim.id] else str(series_point[dim.id])
if (name in names and id not in ids):
names_with_id.add(name)
else:
names.add(name)
ids.add(id)
if (len(names_with_id) > 0):
dimensions_members_with_id[dim.id] = names_with_id
return dimensions_members_with_id
|
|
14,026
|
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] | 9
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{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "resp", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "names_of_attributes", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Dict", "_fields": {"keys": [], "values": []}}, "targets": [{"_type": "Name", "_fields": {"id": "series", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "series", "value": {"_type": "Name", "_fields": {"id": "resp", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_get_dimensions_members_with_id", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "dimensions_members_with_id", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "For", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "series_point", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "dimensions_members_with_id", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_get_series_name", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "serie_name", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "series_point", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "dimensionFields", "value": {"_type": "Name", "_fields": {"id": "resp", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_get_series_with_metadata", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "serie_attrs", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "serie_name", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "serie_attrs", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "names_of_attributes", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": null}}], "func": {"_type": "Name", "_fields": {"id": "KnoemaSeries", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "serie_name", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Name", "_fields": {"id": "series", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "NotIn", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "serie_name", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Name", "_fields": {"id": "series", "ctx": {"_type": "Load", "_fields": {}}}}]}}, "orelse": []}}], "iter": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "series", "value": {"_type": "Name", "_fields": {"id": "resp", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "series_point", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "series", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "_get_metadata_series", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def _get_metadata_series(self, resp, names_of_attributes):
series = {}
dimensions_members_with_id = self._get_dimensions_members_with_id(resp.series)
for series_point in resp.series:
serie_name = self._get_series_name(series_point, dimensions_members_with_id)
if serie_name not in series:
serie_attrs = self._get_series_with_metadata(series_point, resp.dimensionFields)
series[serie_name] = KnoemaSeries(serie_name, serie_attrs, names_of_attributes, None)
return series
|
|
14,027
|
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{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": []}}, "targets": [{"_type": "Name", "_fields": {"id": "names", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "For", "_fields": {"body": [{"_type": "For", "_fields": {"body": [{"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", 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"Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "Mnemonics"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Name", "_fields": {"id": "names", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "For", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "name", "value": {"_type": "Name", "_fields": {"id": "attr", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Name", "_fields": {"id": "names", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "iter": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": 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|
def _get_attribute_names(self):
names = []
for dim in self.dataset.dimensions:
for attr in self.data_streaming.dimensionFields[dim.id]:
if not attr['isSystemField']:
names.append(dim.name +' '+ attr['displayName'])
names.append('Unit')
names.append('Scale')
names.append('Mnemonics')
for attr in self.dataset.timeseries_attributes:
names.append(attr.name)
return names
|
|
14,028
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|
class DetailsResponseReader(ResponseReader):
def __init__(self, reader, data_resp):
self.data_resp = data_resp
super().__init__(reader)
def get_pandasframe(self):
records = self.convert_pandasframe()
if not self.include_metadata:
return records
return records, None
def convert_pandasframe(self):
titles = []
columns = []
indexes = []
for col in self.data_resp.columns:
indexes.append(col['index'])
if col['dimensionId'] != None:
if 'detailColumns' in col:
titles.append(col['name'])
columns.append([col['id'], 'name'])
for detail in col['detailColumns']:
indexes.append(detail['index'])
titles.append(detail['name'])
columns.append([col['id'], detail['id']])
else:
titles.append(col['name'])
columns.append(col['id'])
else:
if col['type'] == 'Date':
titles.append(col['name'])
columns.append([col['id'], 'value'])
continue
if col['type'] == 'Currency':
titles.append(col['name'])
columns.append([col['id'], 'value'])
continue
titles.append(col['name'])
columns.append(col['id'])
#sort both array by indexes
titles, columns = zip(*[x for _,x in sorted(zip(indexes, zip(titles, columns)))])
records = []
for tuple in self.data_resp.tuples:
record = []
for col in columns:
if isinstance(col, str):
val = tuple[col]
record.append(val)
else:
val = tuple[col[0]]
record.append(val[col[1]] if val != None else None)
records.append(record)
return pandas.DataFrame(data=records, columns=titles)
|
|
14,029
|
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|
def _get_series_with_metadata(self, series_point, dimensionFields):
names = []
for dim in self.dataset.dimensions:
dimFields = dimensionFields[dim.id]
dimValues = series_point[dim.id]
for attr in dimFields:
if not attr['isSystemField']:
if attr['name'] in dimValues:
names.append(dimValues[attr['name']])
else:
names.append(None)
names.append(series_point.get('unit'))
names.append(series_point.get('scale'))
names.append(series_point.get('mnemonics'))
for attr in self.dataset.timeseries_attributes:
names.append(series_point['timeseriesAttributes'][attr.name])
return tuple(names)
|
|
14,030
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"keywords": []}}, "targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "frequency"}}, "value": {"_type": "Name", "_fields": {"id": "filter_dims", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Continue", "_fields": {}}], "test": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "name", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "frequency"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "is_equal_strings_ignore_case", "value": {"_type": "Name", "_fields": {"id": "definition", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "orelse": []}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "name", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_find_dimension", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "dim", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "name", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "format", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "Dimension with id or name {} is not found"}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "ValueError", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "cause": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Is", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "dim", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}]}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "name", "value": {"_type": "Name", "_fields": {"id": "dim", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "format", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "Selection for dimension {} is empty"}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "ValueError", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "cause": null}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Name", "_fields": {"id": "splited_values", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": []}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "GeneratorExp", "_fields": {"elt": {"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Load", "_fields": {}}}}, "generators": [{"_type": "comprehension", "_fields": {"ifs": [], "iter": {"_type": "Name", "_fields": {"id": "splited_values", "ctx": {"_type": "Load", "_fields": {}}}}, "target": {"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Store", "_fields": {}}}}, "is_async": 0}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "join", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "separator", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "slice": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "id", "value": {"_type": "Name", "_fields": {"id": "dim", "ctx": {"_type": "Load", "_fields": {}}}}}}, "value": {"_type": "Name", "_fields": {"id": "filter_dims", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}], "iter": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "items", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "dim_values", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "orelse": [], "target": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "name", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "value", "ctx": {"_type": "Store", "_fields": {}}}}]}}, "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "true"}}, "targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "metadata"}}, "value": {"_type": "Name", "_fields": {"id": "filter_dims", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}], "test": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "include_metadata", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "separator", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "separator"}}, "value": {"_type": "Name", "_fields": {"id": "filter_dims", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "NotEq", "_fields": {}}], "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "separator", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": ","}}]}}, "orelse": []}}, {"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "filter_dims", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "DataAPIRequest", "value": {"_type": "Name", "_fields": {"id": "definition", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "_get_data_filters", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "TransformationDataReader", "bases": [{"_type": "Name", "_fields": {"id": "SelectionDataReader", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
|
class TransformationDataReader(SelectionDataReader):
def __init__(self, client, dim_values, transform, frequency):
if dim_values == None:
dim_values = {}
if transform:
dim_values['transform'] = transform
if frequency:
dim_values['frequency'] = frequency
super().__init__(client, dim_values)
def get_pandasframe(self):
data_resp = self.client.get_dataset_data(self.dataset.id, self._get_data_filters())
if isinstance(data_resp, definition.DetailsResponse):
response_reader = DetailsResponseReader(self, data_resp)
return response_reader.get_pandasframe()
if isinstance(data_resp, definition.RawDataResponse):
token = data_resp.continuation_token
while token is not None:
res2 = self.client.get_data_raw_with_token(token)
data_resp.series += res2.series
token = res2.continuation_token
response_reader = StreamingResponseReader(self, data_resp)
return response_reader.get_pandasframe()
response_reader = PivotResponseReader(self, data_resp)
return response_reader.get_pandasframe()
def _get_data_filters(self):
filter_dims = {}
passed_params = ['timerange', 'transform']
for name, value in self.dim_values.items():
if name.lower() in passed_params:
filter_dims[name] = value
continue
if definition.is_equal_strings_ignore_case(name, 'datecolumn') and self.dataset.type != 'Regular':
filter_dims['datecolumn'] = value
continue
splited_values = [x for x in value.split(self.separator) if x] if isinstance(value, str) else value
if definition.is_equal_strings_ignore_case(name, 'frequency'):
filter_dims["frequency"] = self.separator.join(splited_values)
continue
dim = self._find_dimension(name)
if dim is None:
raise ValueError('Dimension with id or name {} is not found'.
format(name))
if not splited_values:
raise ValueError('Selection for dimension {} is empty'.format(dim.name))
filter_dims[dim.id] = self.separator.join(s for s in splited_values)
if self.include_metadata:
filter_dims['metadata'] = 'true'
if self.separator != ',':
filter_dims['separator'] = self.separator
return definition.DataAPIRequest(filter_dims)
|
|
14,031
|
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"pandas", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "data", "value": {"_type": "Name", "_fields": {"id": "records", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "keyword", "_fields": {"arg": "columns", "value": {"_type": "Name", "_fields": {"id": "titles", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}], "name": "convert_pandasframe", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def convert_pandasframe(self):
titles = []
columns = []
indexes = []
for col in self.data_resp.columns:
indexes.append(col['index'])
if col['dimensionId'] != None:
if 'detailColumns' in col:
titles.append(col['name'])
columns.append([col['id'], 'name'])
for detail in col['detailColumns']:
indexes.append(detail['index'])
titles.append(detail['name'])
columns.append([col['id'], detail['id']])
else:
titles.append(col['name'])
columns.append(col['id'])
else:
if col['type'] == 'Date':
titles.append(col['name'])
columns.append([col['id'], 'value'])
continue
if col['type'] == 'Currency':
titles.append(col['name'])
columns.append([col['id'], 'value'])
continue
titles.append(col['name'])
columns.append(col['id'])
#sort both array by indexes
titles, columns = zip(*[x for _,x in sorted(zip(indexes, zip(titles, columns)))])
records = []
for tuple in self.data_resp.tuples:
record = []
for col in columns:
if isinstance(col, str):
val = tuple[col]
record.append(val)
else:
val = tuple[col[0]]
record.append(val[col[1]] if val != None else None)
records.append(record)
return pandas.DataFrame(data=records, columns=titles)
|
|
14,032
|
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|
def __init__(self, client, dim_values, transform, frequency):
if dim_values == None:
dim_values = {}
if transform:
dim_values['transform'] = transform
if frequency:
dim_values['frequency'] = frequency
super().__init__(client, dim_values)
|
|
14,033
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"ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "RawDataResponse", "value": {"_type": "Name", "_fields": {"id": "definition", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "isinstance", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": []}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "data_resp", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "PivotResponseReader", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "response_reader", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get_pandasframe", "value": {"_type": "Name", "_fields": {"id": "response_reader", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "get_pandasframe", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def get_pandasframe(self):
data_resp = self.client.get_dataset_data(self.dataset.id, self._get_data_filters())
if isinstance(data_resp, definition.DetailsResponse):
response_reader = DetailsResponseReader(self, data_resp)
return response_reader.get_pandasframe()
if isinstance(data_resp, definition.RawDataResponse):
token = data_resp.continuation_token
while token is not None:
res2 = self.client.get_data_raw_with_token(token)
data_resp.series += res2.series
token = res2.continuation_token
response_reader = StreamingResponseReader(self, data_resp)
return response_reader.get_pandasframe()
response_reader = PivotResponseReader(self, data_resp)
return response_reader.get_pandasframe()
|
|
14,034
|
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{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "items", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "dim_values", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "orelse": [], "target": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "name", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "value", "ctx": {"_type": "Store", "_fields": {}}}}]}}, "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "true"}}, "targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "metadata"}}, "value": {"_type": "Name", "_fields": {"id": "filter_dims", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}], "test": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "include_metadata", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "separator", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "separator"}}, "value": {"_type": "Name", "_fields": {"id": "filter_dims", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "NotEq", "_fields": {}}], "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "separator", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": ","}}]}}, "orelse": []}}, {"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "filter_dims", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "DataAPIRequest", "value": {"_type": "Name", "_fields": {"id": "definition", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "_get_data_filters", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def _get_data_filters(self):
filter_dims = {}
passed_params = ['timerange', 'transform']
for name, value in self.dim_values.items():
if name.lower() in passed_params:
filter_dims[name] = value
continue
if definition.is_equal_strings_ignore_case(name, 'datecolumn') and self.dataset.type != 'Regular':
filter_dims['datecolumn'] = value
continue
splited_values = [x for x in value.split(self.separator) if x] if isinstance(value, str) else value
if definition.is_equal_strings_ignore_case(name, 'frequency'):
filter_dims["frequency"] = self.separator.join(splited_values)
continue
dim = self._find_dimension(name)
if dim is None:
raise ValueError('Dimension with id or name {} is not found'.
format(name))
if not splited_values:
raise ValueError('Selection for dimension {} is empty'.format(dim.name))
filter_dims[dim.id] = self.separator.join(s for s in splited_values)
if self.include_metadata:
filter_dims['metadata'] = 'true'
if self.separator != ',':
filter_dims['separator'] = self.separator
return definition.DataAPIRequest(filter_dims)
|
|
14,035
|
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|
class StreamingDataReader(SelectionDataReader):
def __init__(self, client, dim_values, transform = None, group_by = None):
self.group_by = group_by
super().__init__(client, dim_values, transform)
def get_series_metadata(self):
self._load_dimensions()
pivot_req = self._create_pivot_request()
data_streaming = self.client.get_data_raw(pivot_req, True)
return data_streaming.series
def get_pandasframe(self):
self._load_dimensions()
pivot_req = self._create_pivot_request()
data_streaming = self.client.get_data_raw(pivot_req)
response_reader = StreamingResponseReader(self, data_streaming)
return response_reader.get_pandasframe()
def _get_series_with_attr(self, series, series_with_attr):
res = {}
for series_name, _ in series.items():
if series_name in series_with_attr:
res[series_name] = series_with_attr[series_name]
return res
def _get_frequency_for_normalization(self, required_frequency, available_frequency):
sorted_frequency = ['A', 'H', 'Q', 'M', 'W', 'D']
sorted_available_frequency = []
for f in sorted_frequency:
if f in available_frequency:
sorted_available_frequency.append(f)
norm_index = sorted_frequency.index(sorted_available_frequency[-1])
for f in sorted_available_frequency:
if sorted_frequency.index(f) > sorted_frequency.index(required_frequency):
norm_index = sorted_frequency.index(f)
break
return sorted_frequency[norm_index]
def _get_all_series_for_group(self, group_name, group_name_index, frequency, series, metadata):
series_by_group = {}
for series_name, series_item in series.items():
if series_name[group_name_index] == group_name:
series_by_group[series_name] = series_item
available_frequency = {}
count = 0
for md in metadata:
if md[self.group_by]['name'] == group_name:
freq = md['frequency']
if freq not in available_frequency:
available_frequency[freq] = 0
available_frequency[freq] += 1
count += 1
if frequency == None:
if len(series_by_group.keys()) == count:
return series_by_group
else:
return None
if len(available_frequency.keys()) == 0:
return None
norm_frequency = frequency
if frequency not in available_frequency.keys():
norm_frequency = self._get_frequency_for_normalization(frequency, available_frequency)
if len(series_by_group.keys()) == available_frequency[norm_frequency]:
return series_by_group
return None
def get_pandasframe_by_metadata_grouped(self, metadata, frequency, timerange):
self._load_dimensions()
names_of_dimensions = self._get_dimension_names()
series = {}
series_with_attr = {}
offset = 0
detail_columns = None
was = False
while True:
metadata_part = self._get_part_of_metadata(metadata, offset)
if metadata_part == None:
break
offset += len(metadata_part)
dim_values = {}
for item in metadata_part:
for dim in self.dataset.dimensions:
dim_id = dim.id
if dim_id not in item:
raise ValueError('There is no value for dim: {}'.format(dim_id))
member_key = str(item[dim_id]['key'])
if dim_id in dim_values:
if member_key not in dim_values[dim_id]:
dim_values[dim_id].append(member_key)
else:
dim_values[dim_id] = [member_key]
if frequency != None:
dim_values['frequency'] = frequency
if timerange != None:
dim_values['timerange'] = timerange
self.dim_values = dim_values
pivot_req = self._create_pivot_request()
pivot_resp = self.client.get_data_raw(pivot_req)
response_reader = StreamingResponseReader(self, pivot_resp)
if was:
if detail_columns is not None:
part_detail_columns = response_reader._get_detail_columns(pivot_resp)
if detail_columns != part_detail_columns:
detail_columns = None
else:
was = True
detail_columns = response_reader._get_detail_columns(pivot_resp)
part_series = response_reader._get_data_series(pivot_resp, detail_columns)
series.update(part_series)
if self.include_metadata:
names_of_attributes = self._get_attribute_names()
part_series_with_attr = response_reader._get_metadata_series(pivot_resp, names_of_attributes)
series_with_attr.update(part_series_with_attr)
group_name_index = -1
for i in range(len(self.dataset.dimensions)):
if self.group_by == self.dataset.dimensions[i].id or self.group_by == self.dataset.dimensions[i].name:
self.group_by = self.dataset.dimensions[i].id
group_name_index = i
break
groups_to_delete = []
groups_checked = []
for series_name, series_item in series.items():
group_name = series_name[group_name_index]
if group_name in groups_to_delete:
continue
if group_name in groups_checked:
continue
all_series_by_group = self._get_all_series_for_group(group_name, group_name_index, frequency, series, metadata)
if all_series_by_group != None:
groups_to_delete.append(group_name)
all_panda_series_by_group = PandasHelper.creates_pandas_series(all_series_by_group, {}, detail_columns)
data_frame = definition.DataFrame()
data_frame.id = group_name
data_frame.data = PandasHelper.create_pandas_dataframe(all_panda_series_by_group, names_of_dimensions, detail_columns)
if self.include_metadata:
all_series_with_attr_by_group = self._get_series_with_attr(all_series_by_group, series_with_attr)
all_pandes_series_with_attr_by_group = PandasHelper.creates_pandas_series(all_series_with_attr_by_group, {}, None)
data_frame.metadata = PandasHelper.create_pandas_dataframe(all_pandes_series_with_attr_by_group, names_of_dimensions, None)
yield data_frame
else:
groups_checked.append(group_name)
left_series = {}
for series_name, series_item in series.items():
group_name = series_name[group_name_index]
if group_name not in groups_to_delete:
left_series[series_name] = series_item
series = left_series
left_series_with_attr = {}
for series_name, series_item in series_with_attr.items():
group_name = series_name[group_name_index]
if group_name not in groups_to_delete:
left_series_with_attr[series_name] = series_item
series_with_attr = left_series_with_attr
def _get_part_of_metadata(self, metadata, offset):
limit = 50000
member_count_limit = 200
if offset >= len(metadata):
return None
curr_points = 0
curr_member_count = 0
time_points = 0
dim_values = {}
index = offset
for i in range(offset, len(metadata)):
curr_ts = metadata[i]
curr_time_points = self._get_time_point_amount(curr_ts['startDate'], curr_ts['endDate'], curr_ts['frequency'])
if curr_time_points > time_points:
time_points = curr_time_points
curr_points = time_points
curr_member_count = 0
for dim in self.dataset.dimensions:
dim_id = dim.id
if dim_id not in curr_ts:
raise ValueError('There is no value for dim: {}'.format(dim_id))
member_key = str(curr_ts[dim_id]['key'])
if dim_id in dim_values:
if member_key not in dim_values[dim_id]:
dim_values[dim_id].append(member_key)
else:
dim_values[dim_id] = [member_key]
curr_points = curr_points * len(dim_values[dim_id])
curr_member_count = curr_member_count + len(dim_values[dim_id])
if curr_points >= limit or curr_member_count >= member_count_limit:
break
index = i
return metadata[offset:min(index + 1, len(metadata))]
def _get_time_point_amount(self, start_date, end_date, frequency):
count = 0
dict_with_delta = TimeFormat.get_frequencies_delta()
date_format = '%Y-%m-%dT%H:%M:%S' + ('Z' if start_date.endswith('Z') else '')
data_begin_val = datetime.strptime(start_date, date_format)
date_format = '%Y-%m-%dT%H:%M:%S' + ('Z' if end_date.endswith('Z') else '')
data_end_val = datetime.strptime(end_date, date_format)
if (frequency == "W"):
data_begin_val = data_begin_val - timedelta(days = data_begin_val.weekday())
data_end_val = data_end_val - timedelta(days = data_end_val.weekday())
delta = dict_with_delta[frequency]
curr_date_val = data_begin_val
while curr_date_val<=data_end_val:
curr_date_val += delta
count += 1
# we have to increase amount of points for FQ freq because of export from OASIS issue
if frequency == 'FQ':
count += 10
return count
|
|
14,036
|
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] | 9
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|
def _get_frequency_for_normalization(self, required_frequency, available_frequency):
sorted_frequency = ['A', 'H', 'Q', 'M', 'W', 'D']
sorted_available_frequency = []
for f in sorted_frequency:
if f in available_frequency:
sorted_available_frequency.append(f)
norm_index = sorted_frequency.index(sorted_available_frequency[-1])
for f in sorted_available_frequency:
if sorted_frequency.index(f) > sorted_frequency.index(required_frequency):
norm_index = sorted_frequency.index(f)
break
return sorted_frequency[norm_index]
|
|
14,037
|
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|
def _get_all_series_for_group(self, group_name, group_name_index, frequency, series, metadata):
series_by_group = {}
for series_name, series_item in series.items():
if series_name[group_name_index] == group_name:
series_by_group[series_name] = series_item
available_frequency = {}
count = 0
for md in metadata:
if md[self.group_by]['name'] == group_name:
freq = md['frequency']
if freq not in available_frequency:
available_frequency[freq] = 0
available_frequency[freq] += 1
count += 1
if frequency == None:
if len(series_by_group.keys()) == count:
return series_by_group
else:
return None
if len(available_frequency.keys()) == 0:
return None
norm_frequency = frequency
if frequency not in available_frequency.keys():
norm_frequency = self._get_frequency_for_normalization(frequency, available_frequency)
if len(series_by_group.keys()) == available_frequency[norm_frequency]:
return series_by_group
return None
|
|
14,038
|
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"Name", "_fields": {"id": "series_name", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Name", "_fields": {"id": "left_series_with_attr", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "NotIn", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "group_name", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Name", "_fields": {"id": "groups_to_delete", "ctx": {"_type": "Load", "_fields": {}}}}]}}, "orelse": []}}], "iter": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "items", "value": {"_type": "Name", "_fields": {"id": "series_with_attr", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "orelse": [], "target": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "series_name", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "series_item", "ctx": {"_type": "Store", "_fields": {}}}}]}}, "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Name", "_fields": {"id": "left_series_with_attr", "ctx": {"_type": "Load", "_fields": {}}}}, "targets": [{"_type": "Name", "_fields": {"id": "series_with_attr", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "Constant", "_fields": {"kind": null, "value": true}}, "orelse": []}}], "name": "get_pandasframe_by_metadata_grouped", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def get_pandasframe_by_metadata_grouped(self, metadata, frequency, timerange):
self._load_dimensions()
names_of_dimensions = self._get_dimension_names()
series = {}
series_with_attr = {}
offset = 0
detail_columns = None
was = False
while True:
metadata_part = self._get_part_of_metadata(metadata, offset)
if metadata_part == None:
break
offset += len(metadata_part)
dim_values = {}
for item in metadata_part:
for dim in self.dataset.dimensions:
dim_id = dim.id
if dim_id not in item:
raise ValueError('There is no value for dim: {}'.format(dim_id))
member_key = str(item[dim_id]['key'])
if dim_id in dim_values:
if member_key not in dim_values[dim_id]:
dim_values[dim_id].append(member_key)
else:
dim_values[dim_id] = [member_key]
if frequency != None:
dim_values['frequency'] = frequency
if timerange != None:
dim_values['timerange'] = timerange
self.dim_values = dim_values
pivot_req = self._create_pivot_request()
pivot_resp = self.client.get_data_raw(pivot_req)
response_reader = StreamingResponseReader(self, pivot_resp)
if was:
if detail_columns is not None:
part_detail_columns = response_reader._get_detail_columns(pivot_resp)
if detail_columns != part_detail_columns:
detail_columns = None
else:
was = True
detail_columns = response_reader._get_detail_columns(pivot_resp)
part_series = response_reader._get_data_series(pivot_resp, detail_columns)
series.update(part_series)
if self.include_metadata:
names_of_attributes = self._get_attribute_names()
part_series_with_attr = response_reader._get_metadata_series(pivot_resp, names_of_attributes)
series_with_attr.update(part_series_with_attr)
group_name_index = -1
for i in range(len(self.dataset.dimensions)):
if self.group_by == self.dataset.dimensions[i].id or self.group_by == self.dataset.dimensions[i].name:
self.group_by = self.dataset.dimensions[i].id
group_name_index = i
break
groups_to_delete = []
groups_checked = []
for series_name, series_item in series.items():
group_name = series_name[group_name_index]
if group_name in groups_to_delete:
continue
if group_name in groups_checked:
continue
all_series_by_group = self._get_all_series_for_group(group_name, group_name_index, frequency, series, metadata)
if all_series_by_group != None:
groups_to_delete.append(group_name)
all_panda_series_by_group = PandasHelper.creates_pandas_series(all_series_by_group, {}, detail_columns)
data_frame = definition.DataFrame()
data_frame.id = group_name
data_frame.data = PandasHelper.create_pandas_dataframe(all_panda_series_by_group, names_of_dimensions, detail_columns)
if self.include_metadata:
all_series_with_attr_by_group = self._get_series_with_attr(all_series_by_group, series_with_attr)
all_pandes_series_with_attr_by_group = PandasHelper.creates_pandas_series(all_series_with_attr_by_group, {}, None)
data_frame.metadata = PandasHelper.create_pandas_dataframe(all_pandes_series_with_attr_by_group, names_of_dimensions, None)
yield data_frame
else:
groups_checked.append(group_name)
left_series = {}
for series_name, series_item in series.items():
group_name = series_name[group_name_index]
if group_name not in groups_to_delete:
left_series[series_name] = series_item
series = left_series
left_series_with_attr = {}
for series_name, series_item in series_with_attr.items():
group_name = series_name[group_name_index]
if group_name not in groups_to_delete:
left_series_with_attr[series_name] = series_item
series_with_attr = left_series_with_attr
|
|
14,039
|
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{"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "dim_id", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "format", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "There is no value for dim: {}"}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "ValueError", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "cause": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "NotIn", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "dim_id", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Name", "_fields": {"id": "curr_ts", "ctx": {"_type": "Load", "_fields": {}}}}]}}, "orelse": []}}, {"_type": "Assign", 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"GtE", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "curr_points", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Name", "_fields": {"id": "limit", "ctx": {"_type": "Load", "_fields": {}}}}]}}, {"_type": "Compare", "_fields": {"ops": [{"_type": "GtE", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "curr_member_count", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Name", "_fields": {"id": "member_count_limit", "ctx": {"_type": "Load", "_fields": {}}}}]}}]}}, "orelse": []}}, {"_type": "Assign", "_fields": {"value": {"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Load", "_fields": {}}}}, "targets": [{"_type": "Name", "_fields": {"id": "index", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "iter": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "offset", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "metadata", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "len", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "range", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Slice", "_fields": {"step": null, "lower": {"_type": "Name", "_fields": {"id": "offset", "ctx": {"_type": "Load", "_fields": {}}}}, "upper": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "index", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}, {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "metadata", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "len", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "min", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, "value": {"_type": "Name", "_fields": {"id": "metadata", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "name": "_get_part_of_metadata", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def _get_part_of_metadata(self, metadata, offset):
limit = 50000
member_count_limit = 200
if offset >= len(metadata):
return None
curr_points = 0
curr_member_count = 0
time_points = 0
dim_values = {}
index = offset
for i in range(offset, len(metadata)):
curr_ts = metadata[i]
curr_time_points = self._get_time_point_amount(curr_ts['startDate'], curr_ts['endDate'], curr_ts['frequency'])
if curr_time_points > time_points:
time_points = curr_time_points
curr_points = time_points
curr_member_count = 0
for dim in self.dataset.dimensions:
dim_id = dim.id
if dim_id not in curr_ts:
raise ValueError('There is no value for dim: {}'.format(dim_id))
member_key = str(curr_ts[dim_id]['key'])
if dim_id in dim_values:
if member_key not in dim_values[dim_id]:
dim_values[dim_id].append(member_key)
else:
dim_values[dim_id] = [member_key]
curr_points = curr_points * len(dim_values[dim_id])
curr_member_count = curr_member_count + len(dim_values[dim_id])
if curr_points >= limit or curr_member_count >= member_count_limit:
break
index = i
return metadata[offset:min(index + 1, len(metadata))]
|
|
14,040
|
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|
def _get_time_point_amount(self, start_date, end_date, frequency):
count = 0
dict_with_delta = TimeFormat.get_frequencies_delta()
date_format = '%Y-%m-%dT%H:%M:%S' + ('Z' if start_date.endswith('Z') else '')
data_begin_val = datetime.strptime(start_date, date_format)
date_format = '%Y-%m-%dT%H:%M:%S' + ('Z' if end_date.endswith('Z') else '')
data_end_val = datetime.strptime(end_date, date_format)
if (frequency == "W"):
data_begin_val = data_begin_val - timedelta(days = data_begin_val.weekday())
data_end_val = data_end_val - timedelta(days = data_end_val.weekday())
delta = dict_with_delta[frequency]
curr_date_val = data_begin_val
while curr_date_val<=data_end_val:
curr_date_val += delta
count += 1
# we have to increase amount of points for FQ freq because of export from OASIS issue
if frequency == 'FQ':
count += 10
return count
|
|
14,041
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] | 9
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{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "resp", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "names_of_attributes", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Dict", "_fields": {"keys": [], "values": []}}, "targets": [{"_type": "Name", "_fields": {"id": "series", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "For", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "Value"}}, "value": {"_type": "Name", "_fields": {"id": "series_point", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "val", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Continue", "_fields": {}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Is", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "val", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}]}}, "orelse": []}}, {"_type": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "Mnemonics"}}, "value": {"_type": "Name", "_fields": {"id": "series_point", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "serie_name", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "series_point", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_get_series_with_metadata", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "serie_attrs", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "serie_name", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "serie_attrs", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "names_of_attributes", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": null}}], "func": {"_type": "Name", "_fields": {"id": "KnoemaSeries", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "serie_name", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Name", "_fields": {"id": "series", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "NotIn", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "serie_name", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Name", "_fields": {"id": "series", "ctx": {"_type": "Load", "_fields": {}}}}]}}, "orelse": []}}], "iter": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "tuples", "value": {"_type": "Name", "_fields": {"id": "resp", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "series_point", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "series", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "_get_metadata_series", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def _get_metadata_series(self, resp, names_of_attributes):
series = {}
for series_point in resp.tuples:
val = series_point['Value']
if val is None:
continue
serie_name = series_point['Mnemonics']
if serie_name not in series:
serie_attrs = self._get_series_with_metadata(series_point)
series[serie_name] = KnoemaSeries(serie_name, serie_attrs, names_of_attributes, None)
return series
|
|
14,042
|
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{"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "freq", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": "FQ"}}]}}, "orelse": []}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "Value"}}, "value": {"_type": "Name", "_fields": {"id": "series_point", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Name", "_fields": {"id": "curr_date_val", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": null}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "add_value", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "series_name", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Name", "_fields": {"id": "series", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}], "iter": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "tuples", "value": {"_type": "Name", "_fields": {"id": "resp", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "series_point", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "Please provide a valid frequency list. You can request FQ or others frequencies not together."}}], "func": {"_type": "Name", "_fields": {"id": "ValueError", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "cause": null}}], "test": {"_type": "BoolOp", "_fields": {"op": {"_type": "And", "_fields": {}}, "values": [{"_type": "Compare", "_fields": {"ops": [{"_type": "In", "_fields": {}}], "left": {"_type": "Constant", "_fields": {"kind": null, "value": "FQ"}}, "comparators": [{"_type": "Name", "_fields": {"id": "frequency_list", "ctx": {"_type": "Load", "_fields": {}}}}]}}, {"_type": "Compare", "_fields": {"ops": [{"_type": "Gt", "_fields": {}}], "left": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "frequency_list", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "len", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": 1}}]}}]}}, "orelse": []}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "series", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "_get_data_series", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def _get_data_series(self, resp, detail_columns):
series = {}
frequency_list = []
for series_point in resp.tuples:
val = series_point['Value']
if val is None:
continue
series_name = series_point['Mnemonics']
if series_name not in series:
series[series_name] = KnoemaSeries(series_name, [], [], detail_columns)
curr_date_val = series_point['Time']
try:
curr_date_val = datetime.strptime(series_point['Time'], '%Y-%m-%dT%H:%M:%SZ')
except ValueError:
pass
freq = series_point['Frequency']
if freq not in frequency_list:
frequency_list.append(freq)
if (freq == "W"):
curr_date_val = curr_date_val - timedelta(days = curr_date_val.weekday())
if (freq == 'FQ'):
curr_date_val = TimeFormat.format_statistical(curr_date_val, 'FQ')
series[series_name].add_value(series_point['Value'], curr_date_val, None)
if 'FQ' in frequency_list and len(frequency_list) > 1:
raise ValueError('Please provide a valid frequency list. You can request FQ or others frequencies not together.')
return series
|
|
14,043
|
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"type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "pandas_series", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": []}}, {"_type": "Name", "_fields": {"id": "detail_columns", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "create_pandas_dataframe", "value": {"_type": "Name", "_fields": {"id": "PandasHelper", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "pandas_data_frame", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "pandas_data_frame", "ctx": {"_type": "Load", "_fields": {}}}}}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "include_metadata", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "orelse": []}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "pandas_series_with_attr", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": []}}, {"_type": "Constant", "_fields": {"kind": null, "value": null}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "create_pandas_dataframe", "value": {"_type": "Name", "_fields": {"id": "PandasHelper", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "pandas_data_frame_with_attr", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "pandas_data_frame", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "pandas_data_frame_with_attr", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}], "name": "_get_pandasframe_one_dataset", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def _get_pandasframe_one_dataset(self):
pandas_series = {}
if self.include_metadata:
pandas_series_with_attr = {}
names_of_attributes = self._get_attribute_names()
mnemonics = self.mnemonics
mnemonics_string = self.separator.join(mnemonics) if isinstance(mnemonics, list) else mnemonics
mnemonics_resp = self.client.get_mnemonics(mnemonics_string, self.transform, self.frequency)
detail_columns = None
for item in mnemonics_resp.items:
pivot_resp = item.pivot
if not definition.is_equal_strings_ignore_case(self.dataset.id, pivot_resp.dataset):
continue
# create dataframe with data for mnemonics
series = self._get_data_series(pivot_resp, detail_columns)
pandas_series = PandasHelper.creates_pandas_series(series, pandas_series, detail_columns)
if self.include_metadata:
# create dataframe with metadata for mnemonics
series_with_attr = self._get_metadata_series(pivot_resp, names_of_attributes)
pandas_series_with_attr = PandasHelper.creates_pandas_series(series_with_attr, pandas_series_with_attr, None)
pandas_data_frame = PandasHelper.create_pandas_dataframe(pandas_series, [], detail_columns)
if not self.include_metadata:
return pandas_data_frame
pandas_data_frame_with_attr = PandasHelper.create_pandas_dataframe(pandas_series_with_attr, [], None)
return pandas_data_frame, pandas_data_frame_with_attr
|
|
14,044
|
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{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "series_with_attr", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "pandas_series_with_attr", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": null}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "creates_pandas_series", "value": {"_type": "Name", "_fields": {"id": "PandasHelper", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "pandas_series_with_attr", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "include_metadata", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": []}}], "iter": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "items", "value": {"_type": "Name", "_fields": {"id": "mnemonics_resp", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "item", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "pandas_series", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": []}}, {"_type": "Name", "_fields": {"id": "detail_columns", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "create_pandas_dataframe", "value": {"_type": "Name", "_fields": {"id": "PandasHelper", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "pandas_data_frame", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "pandas_data_frame", "ctx": {"_type": "Load", "_fields": {}}}}}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "include_metadata", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "orelse": []}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "pandas_series_with_attr", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": []}}, {"_type": "Constant", "_fields": {"kind": null, "value": null}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "create_pandas_dataframe", "value": {"_type": "Name", "_fields": {"id": "PandasHelper", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "pandas_data_frame_with_attr", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "pandas_data_frame", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "pandas_data_frame_with_attr", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}], "name": "_get_pandasframe_across_datasets", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def _get_pandasframe_across_datasets(self):
mnemonics_string = self.separator.join(self.mnemonics) if isinstance(self.mnemonics, list) else self.mnemonics
mnemonics_resp = self.client.get_mnemonics(mnemonics_string, self.transform, self.frequency)
dict_datasets = {}
pandas_series = {}
if self.include_metadata:
pandas_series_with_attr = {}
detail_columns = None
for item in mnemonics_resp.items:
pivot_resp = item.pivot
if pivot_resp is None:
continue
dataset_id = pivot_resp.dataset
if dataset_id not in dict_datasets:
dataset = self.client.get_dataset(dataset_id)
self.dataset = dataset
dimensions = []
for dim in dataset.dimensions:
dimensions.append(self.client.get_dimension(dataset_id, dim.id))
self.dimensions = dimensions
names_of_attributes = self._get_attribute_names() if self.include_metadata else None
dict_datasets[dataset_id] = (dataset, dimensions, names_of_attributes)
else:
self.dataset, self.dimensions, names_of_attributes = dict_datasets[dataset_id]
# create dataframe with data for mnemonics
series = self._get_data_series(pivot_resp, detail_columns)
pandas_series = PandasHelper.creates_pandas_series(series, pandas_series, detail_columns)
if self.include_metadata:
# create dataframe with metadata for mnemonics
series_with_attr = self._get_metadata_series(pivot_resp, names_of_attributes)
pandas_series_with_attr = PandasHelper.creates_pandas_series(series_with_attr, pandas_series_with_attr, None)
pandas_data_frame = PandasHelper.create_pandas_dataframe(pandas_series, [], detail_columns)
if not self.include_metadata:
return pandas_data_frame
pandas_data_frame_with_attr = PandasHelper.create_pandas_dataframe(pandas_series_with_attr, [], None)
return pandas_data_frame, pandas_data_frame_with_attr
|
|
14,045
|
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def __init__(self, name, values=[], index=[], detail_columns=None):
self.name = name
self.values = values
self.index = index
self.column_count = len(detail_columns) if detail_columns is not None else 0
self.column_values = [] if self.column_count > 0 else None
for _ in range(0, self.column_count):
self.column_values.append([])
|
|
14,046
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] | 9
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|
def create_pandas_dataframe(pandas_series, names_of_dimensions, detail_columns):
pandas_data_frame = pandas.DataFrame(pandas_series)
pandas_data_frame.sort_index()
if isinstance(pandas_data_frame.columns, pandas.MultiIndex):
column_names = names_of_dimensions
if detail_columns is not None:
column_names = list(column_names)
column_names.append('Attribute')
pandas_data_frame.columns.names = column_names
return pandas_data_frame
|
|
14,047
|
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|
class PandasHelper(object):
@staticmethod
def creates_pandas_series(series, pandas_series, detail_columns):
for _, series_content in series.items():
series_content.creates_pandas_series(pandas_series, detail_columns)
return pandas_series
@staticmethod
def create_pandas_dataframe(pandas_series, names_of_dimensions, detail_columns):
pandas_data_frame = pandas.DataFrame(pandas_series)
pandas_data_frame.sort_index()
if isinstance(pandas_data_frame.columns, pandas.MultiIndex):
column_names = names_of_dimensions
if detail_columns is not None:
column_names = list(column_names)
column_names.append('Attribute')
pandas_data_frame.columns.names = column_names
return pandas_data_frame
|
|
14,048
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] | 7
|
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Return", "_fields": {"value": {"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "A"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "H"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "Q"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "FQ"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "M"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "W"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "D"}}], "values": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "relativedelta", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "years", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}]}}, {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "relativedelta", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "months", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 6}}}}]}}, {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "relativedelta", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "months", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 3}}}}]}}, {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "relativedelta", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "months", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 3}}}}]}}, {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "relativedelta", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "months", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}]}}, {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "timedelta", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "days", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 7}}}}]}}, {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "timedelta", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "days", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}]}}]}}}}], "name": "get_frequencies_delta", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def get_frequencies_delta():
return {
'A': relativedelta(years = 1),
'H': relativedelta(months = 6),
'Q': relativedelta(months = 3),
'FQ': relativedelta(months = 3),
'M': relativedelta(months = 1),
'W': timedelta(days = 7),
'D': timedelta(days = 1)}
|
|
14,049
|
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null, "value": "A"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "H"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "Q"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "FQ"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "M"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "W"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "D"}}], "values": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "relativedelta", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "years", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}]}}, {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "relativedelta", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "months", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 6}}}}]}}, {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "relativedelta", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "months", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 3}}}}]}}, {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "relativedelta", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "months", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 3}}}}]}}, {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "relativedelta", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "months", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}]}}, {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "timedelta", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "days", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 7}}}}]}}, {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "timedelta", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "days", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}]}}]}}}}], "name": "get_frequencies_delta", "returns": null, "type_params": [], "type_comment": null, "decorator_list": [{"_type": "Name", "_fields": {"id": "staticmethod", "ctx": {"_type": "Load", "_fields": {}}}}]}}], "name": "TimeFormat", "bases": [{"_type": "Name", "_fields": {"id": "object", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
|
class TimeFormat(object):
@staticmethod
def format_statistical(date_point, freq):
return {
'FQ': lambda d: '{}FQ{}'.format(d.year, (d.month - 1) // 3 + 1),
'W': lambda d: TimeFormat.format_weekly(d)
}.get(freq, date_point)(date_point)
@staticmethod
def format_weekly(date):
iso_values = date.isocalendar()
iso_year = iso_values[0]
week_number = iso_values[1]
return '{}W{}'.format(iso_year, week_number)
@staticmethod
def get_frequencies_delta():
return {
'A': relativedelta(years = 1),
'H': relativedelta(months = 6),
'Q': relativedelta(months = 3),
'FQ': relativedelta(months = 3),
'M': relativedelta(months = 1),
'W': timedelta(days = 7),
'D': timedelta(days = 1)}
|
|
14,050
|
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"_fields": {}}, "attr": "items", "value": {"_type": "Name", "_fields": {"id": "dim_info", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "item", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "frame_data", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "DataFrame", "value": {"_type": "Name", "_fields": {"id": "pandas", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "columns", "value": {"_type": "Name", "_fields": {"id": "headers", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "members", "value": {"_type": "Name", "_fields": {"id": "view_model", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "view_model", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "get", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "DimensionMetadataReader", "bases": [], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
|
class DimensionMetadataReader:
def __init__(self, client, dataset, dimension):
self.client = client
self.dataset = dataset
self.dimension = dimension
def get(self):
dim_info = self.client.get_dimension(self.dataset, self.dimension)
view_model = view_definition.Dimension()
view_model.key = dim_info.key
view_model.id = dim_info.id
view_model.name = dim_info.name
view_model.isGeo = dim_info.is_geo
view_model.datasetId = self.dataset
for fields in dim_info.fields:
view_model.fields.append(view_definition.Field(fields))
frame_data = []
headers = ['key', 'name', 'level', 'parent key', 'parent id', 'parent name', 'hasdata']
header_filled = False
parents = {}
for item in dim_info.items:
parents[item.level] = {
'id': item.fields['id'] if 'id' in item.fields else None,
'key': item.key,
'name': item.name
}
parent = {'id': None, 'key': -1, 'name': None}
if item.level > 0:
parent = parents[item.level - 1]
row = [item.key, item.name, item.level, parent['key'], parent['id'], parent['name'], item.hasdata]
for field in dim_info.fields:
if not header_filled:
headers.append(field['name'])
if field['name'] in item.fields:
row.append(item.fields[field['name']])
else:
row.append(None)
if not header_filled:
header_filled = True
frame_data.append(row)
view_model.members = pandas.DataFrame(frame_data, columns=headers)
return view_model
|
|
14,051
|
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|
def get(self):
dim_info = self.client.get_dimension(self.dataset, self.dimension)
view_model = view_definition.Dimension()
view_model.key = dim_info.key
view_model.id = dim_info.id
view_model.name = dim_info.name
view_model.isGeo = dim_info.is_geo
view_model.datasetId = self.dataset
for fields in dim_info.fields:
view_model.fields.append(view_definition.Field(fields))
frame_data = []
headers = ['key', 'name', 'level', 'parent key', 'parent id', 'parent name', 'hasdata']
header_filled = False
parents = {}
for item in dim_info.items:
parents[item.level] = {
'id': item.fields['id'] if 'id' in item.fields else None,
'key': item.key,
'name': item.name
}
parent = {'id': None, 'key': -1, 'name': None}
if item.level > 0:
parent = parents[item.level - 1]
row = [item.key, item.name, item.level, parent['key'], parent['id'], parent['name'], item.hasdata]
for field in dim_info.fields:
if not header_filled:
headers.append(field['name'])
if field['name'] in item.fields:
row.append(item.fields[field['name']])
else:
row.append(None)
if not header_filled:
header_filled = True
frame_data.append(row)
view_model.members = pandas.DataFrame(frame_data, columns=headers)
return view_model
|
|
14,052
|
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] | 10
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{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "uri", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "method", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "body", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "headers", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "redirections", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "connection_type", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [{"_type": "Constant", "_fields": {"kind": null, "value": "GET"}}, {"_type": "Constant", "_fields": {"kind": null, "value": null}}, {"_type": "Constant", "_fields": {"kind": null, "value": null}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, 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"Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "clean_headers", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, {"_type": "Name", "_fields": {"id": "redirections", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "connection_type", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "request_orig", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "In", "_fields": {}}], "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "status", "value": {"_type": "Name", "_fields": {"id": "resp", "ctx": {"_type": "Load", "_fields": {}}}}}}, "comparators": [{"_type": "Name", "_fields": {"id": "REFRESH_STATUS_CODES", "ctx": {"_type": "Load", "_fields": {}}}}]}}, "orelse": [{"_type": "Return", "_fields": {"value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "resp", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "content", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}]}}], "name": "new_request", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def new_request(uri, method='GET', body=None, headers=None,
redirections=httplib2.DEFAULT_MAX_REDIRECTS,
connection_type=None):
if not self.access_token:
logger.info('Attempting refresh to obtain initial access_token')
self._refresh(request_orig)
# Modify the request headers to add the appropriate
# Authorization header.
if headers is None:
headers = {}
self.apply(headers)
if self.user_agent is not None:
if 'user-agent' in headers:
headers['user-agent'] = self.user_agent + ' ' + headers['user-agent']
else:
headers['user-agent'] = self.user_agent
resp, content = request_orig(uri, method, body, clean_headers(headers),
redirections, connection_type)
if resp.status in REFRESH_STATUS_CODES:
logger.info('Refreshing due to a %s' % str(resp.status))
self._refresh(request_orig)
self.apply(headers)
return request_orig(uri, method, body, clean_headers(headers),
redirections, connection_type)
else:
return (resp, content)
|
|
14,053
|
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] | 8
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{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "cls", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "s", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "loads", "value": {"_type": "Name", "_fields": {"id": "simplejson", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "service_account_name"}}, "value": {"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "private_key"}}, "value": {"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "b64decode", "value": {"_type": "Name", "_fields": {"id": "base64", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "scope"}}, "value": {"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "SignedJwtAssertionCredentials", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "private_key_password", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "private_key_password"}}, "value": {"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "keyword", "_fields": {"arg": "user_agent", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "user_agent"}}, "value": {"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "keyword", "_fields": {"arg": "token_uri", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "token_uri"}}, "value": {"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "keyword", "_fields": {"arg": null, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "kwargs"}}, "value": {"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "retval", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "invalid"}}, "value": {"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "invalid", "value": {"_type": "Name", "_fields": {"id": "retval", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "access_token"}}, "value": {"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "access_token", "value": {"_type": "Name", "_fields": {"id": "retval", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "retval", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "from_json", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def from_json(cls, s):
data = simplejson.loads(s)
retval = SignedJwtAssertionCredentials(
data['service_account_name'],
base64.b64decode(data['private_key']),
data['scope'],
private_key_password=data['private_key_password'],
user_agent=data['user_agent'],
token_uri=data['token_uri'],
**data['kwargs']
)
retval.invalid = data['invalid']
retval.access_token = data['access_token']
return retval
|
|
14,054
|
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"Name", "_fields": {"id": "raw_tx", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "tx_from_hex", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "tx", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": []}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "vin", "value": {"_type": "Name", "_fields": {"id": "tx", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Mult", "_fields": {}}, "left": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": 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"keywords": []}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "fundrawtransaction", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "nodes", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "funded_tx", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "hex"}}, "value": {"_type": "Name", "_fields": {"id": "funded_tx", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "signrawtransactionwithwallet", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "nodes", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "signed_tx", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "hex"}}, "value": {"_type": "Name", "_fields": {"id": "signed_tx", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", 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"_fields": {"arg": "amount", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 5}}}}]}}}}], "name": "run_test", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "WalletGroupTest", "bases": [{"_type": "Name", "_fields": {"id": "BitcoinTestFramework", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
|
class WalletGroupTest(BitcoinTestFramework):
def set_test_params(self):
self.setup_clean_chain = True
self.num_nodes = 5
self.extra_args = [
[],
[],
["-avoidpartialspends"],
["-maxapsfee=0.00002719"],
["-maxapsfee=0.00002720"],
]
self.rpc_timeout = 480
def skip_test_if_missing_module(self):
self.skip_if_no_wallet()
def run_test(self):
self.log.info("Setting up")
# Mine some coins
self.generate(self.nodes[0], COINBASE_MATURITY + 1)
# Get some addresses from the two nodes
addr1 = [self.nodes[1].getnewaddress() for _ in range(3)]
addr2 = [self.nodes[2].getnewaddress() for _ in range(3)]
addrs = addr1 + addr2
# Send 1 + 0.5 coin to each address
[self.nodes[0].sendtoaddress(addr, 1.0) for addr in addrs]
[self.nodes[0].sendtoaddress(addr, 0.5) for addr in addrs]
self.generate(self.nodes[0], 1)
# For each node, send 0.2 coins back to 0;
# - node[1] should pick one 0.5 UTXO and leave the rest
# - node[2] should pick one (1.0 + 0.5) UTXO group corresponding to a
# given address, and leave the rest
self.log.info("Test sending transactions picks one UTXO group and leaves the rest")
txid1 = self.nodes[1].sendtoaddress(self.nodes[0].getnewaddress(), 0.2)
tx1 = self.nodes[1].getrawtransaction(txid1, True)
# txid1 should have 1 input and 2 outputs
assert_equal(1, len(tx1["vin"]))
assert_equal(2, len(tx1["vout"]))
# one output should be 0.2, the other should be ~0.3
v = [vout["value"] for vout in tx1["vout"]]
v.sort()
assert_approx(v[0], vexp=0.2, vspan=0.0001)
assert_approx(v[1], vexp=0.3, vspan=0.0001)
txid2 = self.nodes[2].sendtoaddress(self.nodes[0].getnewaddress(), 0.2)
tx2 = self.nodes[2].getrawtransaction(txid2, True)
# txid2 should have 2 inputs and 2 outputs
assert_equal(2, len(tx2["vin"]))
assert_equal(2, len(tx2["vout"]))
# one output should be 0.2, the other should be ~1.3
v = [vout["value"] for vout in tx2["vout"]]
v.sort()
assert_approx(v[0], vexp=0.2, vspan=0.0001)
assert_approx(v[1], vexp=1.3, vspan=0.0001)
self.log.info("Test avoiding partial spends if warranted, even if avoidpartialspends is disabled")
self.sync_all()
self.generate(self.nodes[0], 1)
# Nodes 1-2 now have confirmed UTXOs (letters denote destinations):
# Node #1: Node #2:
# - A 1.0 - D0 1.0
# - B0 1.0 - D1 0.5
# - B1 0.5 - E0 1.0
# - C0 1.0 - E1 0.5
# - C1 0.5 - F ~1.3
# - D ~0.3
assert_approx(self.nodes[1].getbalance(), vexp=4.3, vspan=0.0001)
assert_approx(self.nodes[2].getbalance(), vexp=4.3, vspan=0.0001)
# Sending 1.4 btc should pick one 1.0 + one more. For node #1,
# this could be (A / B0 / C0) + (B1 / C1 / D). We ensure that it is
# B0 + B1 or C0 + C1, because this avoids partial spends while not being
# detrimental to transaction cost
txid3 = self.nodes[1].sendtoaddress(self.nodes[0].getnewaddress(), 1.4)
tx3 = self.nodes[1].getrawtransaction(txid3, True)
# tx3 should have 2 inputs and 2 outputs
assert_equal(2, len(tx3["vin"]))
assert_equal(2, len(tx3["vout"]))
# the accumulated value should be 1.5, so the outputs should be
# ~0.1 and 1.4 and should come from the same destination
values = [vout["value"] for vout in tx3["vout"]]
values.sort()
assert_approx(values[0], vexp=0.1, vspan=0.0001)
assert_approx(values[1], vexp=1.4, vspan=0.0001)
input_txids = [vin["txid"] for vin in tx3["vin"]]
input_addrs = [self.nodes[1].gettransaction(txid)['details'][0]['address'] for txid in input_txids]
assert_equal(input_addrs[0], input_addrs[1])
# Node 2 enforces avoidpartialspends so needs no checking here
tx4_ungrouped_fee = 2820
tx4_grouped_fee = 4160
tx5_6_ungrouped_fee = 5520
tx5_6_grouped_fee = 8240
self.log.info("Test wallet option maxapsfee")
addr_aps = self.nodes[3].getnewaddress()
self.nodes[0].sendtoaddress(addr_aps, 1.0)
self.nodes[0].sendtoaddress(addr_aps, 1.0)
self.generate(self.nodes[0], 1)
with self.nodes[3].assert_debug_log([f'Fee non-grouped = {tx4_ungrouped_fee}, grouped = {tx4_grouped_fee}, using grouped']):
txid4 = self.nodes[3].sendtoaddress(self.nodes[0].getnewaddress(), 0.1)
tx4 = self.nodes[3].getrawtransaction(txid4, True)
# tx4 should have 2 inputs and 2 outputs although one output would
# have been enough and the transaction caused higher fees
assert_equal(2, len(tx4["vin"]))
assert_equal(2, len(tx4["vout"]))
addr_aps2 = self.nodes[3].getnewaddress()
[self.nodes[0].sendtoaddress(addr_aps2, 1.0) for _ in range(5)]
self.generate(self.nodes[0], 1)
with self.nodes[3].assert_debug_log([f'Fee non-grouped = {tx5_6_ungrouped_fee}, grouped = {tx5_6_grouped_fee}, using non-grouped']):
txid5 = self.nodes[3].sendtoaddress(self.nodes[0].getnewaddress(), 2.95)
tx5 = self.nodes[3].getrawtransaction(txid5, True)
# tx5 should have 3 inputs (1.0, 1.0, 1.0) and 2 outputs
assert_equal(3, len(tx5["vin"]))
assert_equal(2, len(tx5["vout"]))
# Test wallet option maxapsfee with node 4, which sets maxapsfee
# 1 sat higher, crossing the threshold from non-grouped to grouped.
self.log.info("Test wallet option maxapsfee threshold from non-grouped to grouped")
addr_aps3 = self.nodes[4].getnewaddress()
[self.nodes[0].sendtoaddress(addr_aps3, 1.0) for _ in range(5)]
self.generate(self.nodes[0], 1)
with self.nodes[4].assert_debug_log([f'Fee non-grouped = {tx5_6_ungrouped_fee}, grouped = {tx5_6_grouped_fee}, using grouped']):
txid6 = self.nodes[4].sendtoaddress(self.nodes[0].getnewaddress(), 2.95)
tx6 = self.nodes[4].getrawtransaction(txid6, True)
# tx6 should have 5 inputs and 2 outputs
assert_equal(5, len(tx6["vin"]))
assert_equal(2, len(tx6["vout"]))
# Empty out node2's wallet
self.nodes[2].sendtoaddress(address=self.nodes[0].getnewaddress(), amount=self.nodes[2].getbalance(), subtractfeefromamount=True)
self.sync_all()
self.generate(self.nodes[0], 1)
self.log.info("Fill a wallet with 10,000 outputs corresponding to the same scriptPubKey")
for _ in range(5):
raw_tx = self.nodes[0].createrawtransaction([{"txid":"0"*64, "vout":0}], [{addr2[0]: 0.05}])
tx = tx_from_hex(raw_tx)
tx.vin = []
tx.vout = [tx.vout[0]] * 2000
funded_tx = self.nodes[0].fundrawtransaction(tx.serialize().hex())
signed_tx = self.nodes[0].signrawtransactionwithwallet(funded_tx['hex'])
self.nodes[0].sendrawtransaction(signed_tx['hex'])
self.generate(self.nodes[0], 1)
# Check that we can create a transaction that only requires ~100 of our
# utxos, without pulling in all outputs and creating a transaction that
# is way too big.
self.log.info("Test creating txn that only requires ~100 of our UTXOs without pulling in all outputs")
assert self.nodes[2].sendtoaddress(address=addr2[0], amount=5)
|
|
14,055
|
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|
def run_test(self):
self.log.info("Setting up")
# Mine some coins
self.generate(self.nodes[0], COINBASE_MATURITY + 1)
# Get some addresses from the two nodes
addr1 = [self.nodes[1].getnewaddress() for _ in range(3)]
addr2 = [self.nodes[2].getnewaddress() for _ in range(3)]
addrs = addr1 + addr2
# Send 1 + 0.5 coin to each address
[self.nodes[0].sendtoaddress(addr, 1.0) for addr in addrs]
[self.nodes[0].sendtoaddress(addr, 0.5) for addr in addrs]
self.generate(self.nodes[0], 1)
# For each node, send 0.2 coins back to 0;
# - node[1] should pick one 0.5 UTXO and leave the rest
# - node[2] should pick one (1.0 + 0.5) UTXO group corresponding to a
# given address, and leave the rest
self.log.info("Test sending transactions picks one UTXO group and leaves the rest")
txid1 = self.nodes[1].sendtoaddress(self.nodes[0].getnewaddress(), 0.2)
tx1 = self.nodes[1].getrawtransaction(txid1, True)
# txid1 should have 1 input and 2 outputs
assert_equal(1, len(tx1["vin"]))
assert_equal(2, len(tx1["vout"]))
# one output should be 0.2, the other should be ~0.3
v = [vout["value"] for vout in tx1["vout"]]
v.sort()
assert_approx(v[0], vexp=0.2, vspan=0.0001)
assert_approx(v[1], vexp=0.3, vspan=0.0001)
txid2 = self.nodes[2].sendtoaddress(self.nodes[0].getnewaddress(), 0.2)
tx2 = self.nodes[2].getrawtransaction(txid2, True)
# txid2 should have 2 inputs and 2 outputs
assert_equal(2, len(tx2["vin"]))
assert_equal(2, len(tx2["vout"]))
# one output should be 0.2, the other should be ~1.3
v = [vout["value"] for vout in tx2["vout"]]
v.sort()
assert_approx(v[0], vexp=0.2, vspan=0.0001)
assert_approx(v[1], vexp=1.3, vspan=0.0001)
self.log.info("Test avoiding partial spends if warranted, even if avoidpartialspends is disabled")
self.sync_all()
self.generate(self.nodes[0], 1)
# Nodes 1-2 now have confirmed UTXOs (letters denote destinations):
# Node #1: Node #2:
# - A 1.0 - D0 1.0
# - B0 1.0 - D1 0.5
# - B1 0.5 - E0 1.0
# - C0 1.0 - E1 0.5
# - C1 0.5 - F ~1.3
# - D ~0.3
assert_approx(self.nodes[1].getbalance(), vexp=4.3, vspan=0.0001)
assert_approx(self.nodes[2].getbalance(), vexp=4.3, vspan=0.0001)
# Sending 1.4 btc should pick one 1.0 + one more. For node #1,
# this could be (A / B0 / C0) + (B1 / C1 / D). We ensure that it is
# B0 + B1 or C0 + C1, because this avoids partial spends while not being
# detrimental to transaction cost
txid3 = self.nodes[1].sendtoaddress(self.nodes[0].getnewaddress(), 1.4)
tx3 = self.nodes[1].getrawtransaction(txid3, True)
# tx3 should have 2 inputs and 2 outputs
assert_equal(2, len(tx3["vin"]))
assert_equal(2, len(tx3["vout"]))
# the accumulated value should be 1.5, so the outputs should be
# ~0.1 and 1.4 and should come from the same destination
values = [vout["value"] for vout in tx3["vout"]]
values.sort()
assert_approx(values[0], vexp=0.1, vspan=0.0001)
assert_approx(values[1], vexp=1.4, vspan=0.0001)
input_txids = [vin["txid"] for vin in tx3["vin"]]
input_addrs = [self.nodes[1].gettransaction(txid)['details'][0]['address'] for txid in input_txids]
assert_equal(input_addrs[0], input_addrs[1])
# Node 2 enforces avoidpartialspends so needs no checking here
tx4_ungrouped_fee = 2820
tx4_grouped_fee = 4160
tx5_6_ungrouped_fee = 5520
tx5_6_grouped_fee = 8240
self.log.info("Test wallet option maxapsfee")
addr_aps = self.nodes[3].getnewaddress()
self.nodes[0].sendtoaddress(addr_aps, 1.0)
self.nodes[0].sendtoaddress(addr_aps, 1.0)
self.generate(self.nodes[0], 1)
with self.nodes[3].assert_debug_log([f'Fee non-grouped = {tx4_ungrouped_fee}, grouped = {tx4_grouped_fee}, using grouped']):
txid4 = self.nodes[3].sendtoaddress(self.nodes[0].getnewaddress(), 0.1)
tx4 = self.nodes[3].getrawtransaction(txid4, True)
# tx4 should have 2 inputs and 2 outputs although one output would
# have been enough and the transaction caused higher fees
assert_equal(2, len(tx4["vin"]))
assert_equal(2, len(tx4["vout"]))
addr_aps2 = self.nodes[3].getnewaddress()
[self.nodes[0].sendtoaddress(addr_aps2, 1.0) for _ in range(5)]
self.generate(self.nodes[0], 1)
with self.nodes[3].assert_debug_log([f'Fee non-grouped = {tx5_6_ungrouped_fee}, grouped = {tx5_6_grouped_fee}, using non-grouped']):
txid5 = self.nodes[3].sendtoaddress(self.nodes[0].getnewaddress(), 2.95)
tx5 = self.nodes[3].getrawtransaction(txid5, True)
# tx5 should have 3 inputs (1.0, 1.0, 1.0) and 2 outputs
assert_equal(3, len(tx5["vin"]))
assert_equal(2, len(tx5["vout"]))
# Test wallet option maxapsfee with node 4, which sets maxapsfee
# 1 sat higher, crossing the threshold from non-grouped to grouped.
self.log.info("Test wallet option maxapsfee threshold from non-grouped to grouped")
addr_aps3 = self.nodes[4].getnewaddress()
[self.nodes[0].sendtoaddress(addr_aps3, 1.0) for _ in range(5)]
self.generate(self.nodes[0], 1)
with self.nodes[4].assert_debug_log([f'Fee non-grouped = {tx5_6_ungrouped_fee}, grouped = {tx5_6_grouped_fee}, using grouped']):
txid6 = self.nodes[4].sendtoaddress(self.nodes[0].getnewaddress(), 2.95)
tx6 = self.nodes[4].getrawtransaction(txid6, True)
# tx6 should have 5 inputs and 2 outputs
assert_equal(5, len(tx6["vin"]))
assert_equal(2, len(tx6["vout"]))
# Empty out node2's wallet
self.nodes[2].sendtoaddress(address=self.nodes[0].getnewaddress(), amount=self.nodes[2].getbalance(), subtractfeefromamount=True)
self.sync_all()
self.generate(self.nodes[0], 1)
self.log.info("Fill a wallet with 10,000 outputs corresponding to the same scriptPubKey")
for _ in range(5):
raw_tx = self.nodes[0].createrawtransaction([{"txid":"0"*64, "vout":0}], [{addr2[0]: 0.05}])
tx = tx_from_hex(raw_tx)
tx.vin = []
tx.vout = [tx.vout[0]] * 2000
funded_tx = self.nodes[0].fundrawtransaction(tx.serialize().hex())
signed_tx = self.nodes[0].signrawtransactionwithwallet(funded_tx['hex'])
self.nodes[0].sendrawtransaction(signed_tx['hex'])
self.generate(self.nodes[0], 1)
# Check that we can create a transaction that only requires ~100 of our
# utxos, without pulling in all outputs and creating a transaction that
# is way too big.
self.log.info("Test creating txn that only requires ~100 of our UTXOs without pulling in all outputs")
assert self.nodes[2].sendtoaddress(address=addr2[0], amount=5)
|
|
14,056
|
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{"_type": "keyword", "_fields": {"arg": "action", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "store_true"}}}}, {"_type": "keyword", "_fields": {"arg": "help", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "Download and unpack all packages, but don't actually install them"}}}}]}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "--no-download"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "add_option", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "parser", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "dest", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "no_download"}}}}, {"_type": "keyword", "_fields": {"arg": "action", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "store_true"}}}}, {"_type": "keyword", "_fields": {"arg": "help", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "Don't download any packages, just install the ones already downloaded (completes an install run with --no-install)"}}}}]}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "--install-option"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "add_option", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "parser", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "dest", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "install_options"}}}}, {"_type": "keyword", "_fields": {"arg": "action", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "append"}}}}, {"_type": "keyword", "_fields": {"arg": "help", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "Extra arguments to be supplied to the setup.py install command (use like --install-option=\"--install-scripts=/usr/local/bin\"). Use multiple --install-option options to pass multiple options to setup.py install. If you are using an option with a directory path, be sure to use absolute path."}}}}]}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "--global-option"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "add_option", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "parser", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "dest", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "global_options"}}}}, {"_type": "keyword", "_fields": {"arg": "action", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "append"}}}}, {"_type": "keyword", "_fields": {"arg": "help", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "Extra global options to be supplied to the setup.pycall before the install command"}}}}]}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "--user"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "add_option", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "parser", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "dest", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "use_user_site"}}}}, {"_type": "keyword", "_fields": {"arg": "action", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "store_true"}}}}, {"_type": "keyword", "_fields": {"arg": "help", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "Install to user-site"}}}}]}}}}], "name": "__init__", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def __init__(self):
super(InstallCommand, self).__init__()
self.parser.add_option(
'-e', '--editable',
dest='editables',
action='append',
default=[],
metavar='VCS+REPOS_URL[@REV]#egg=PACKAGE',
help='Install a package directly from a checkout. Source will be checked '
'out into src/PACKAGE (lower-case) and installed in-place (using '
'setup.py develop). You can run this on an existing directory/checkout (like '
'pip install -e src/mycheckout). This option may be provided multiple times. '
'Possible values for VCS are: svn, git, hg and bzr.')
self.parser.add_option(
'-r', '--requirement',
dest='requirements',
action='append',
default=[],
metavar='FILENAME',
help='Install all the packages listed in the given requirements file. '
'This option can be used multiple times.')
self.parser.add_option(
'-f', '--find-links',
dest='find_links',
action='append',
default=[],
metavar='URL',
help='URL to look for packages at')
self.parser.add_option(
'-i', '--index-url', '--pypi-url',
dest='index_url',
metavar='URL',
default='http://pypi.python.org/simple/',
help='Base URL of Python Package Index (default %default)')
self.parser.add_option(
'--extra-index-url',
dest='extra_index_urls',
metavar='URL',
action='append',
default=[],
help='Extra URLs of package indexes to use in addition to --index-url')
self.parser.add_option(
'--no-index',
dest='no_index',
action='store_true',
default=False,
help='Ignore package index (only looking at --find-links URLs instead)')
self.parser.add_option(
'-M', '--use-mirrors',
dest='use_mirrors',
action='store_true',
default=False,
help='Use the PyPI mirrors as a fallback in case the main index is down.')
self.parser.add_option(
'--mirrors',
dest='mirrors',
metavar='URL',
action='append',
default=[],
help='Specific mirror URLs to query when --use-mirrors is used')
self.parser.add_option(
'-b', '--build', '--build-dir', '--build-directory',
dest='build_dir',
metavar='DIR',
default=None,
help='Unpack packages into DIR (default %s) and build from there' % build_prefix)
self.parser.add_option(
'-d', '--download', '--download-dir', '--download-directory',
dest='download_dir',
metavar='DIR',
default=None,
help='Download packages into DIR instead of installing them')
self.parser.add_option(
'--download-cache',
dest='download_cache',
metavar='DIR',
default=None,
help='Cache downloaded packages in DIR')
self.parser.add_option(
'--src', '--source', '--source-dir', '--source-directory',
dest='src_dir',
metavar='DIR',
default=None,
help='Check out --editable packages into DIR (default %s)' % src_prefix)
self.parser.add_option(
'-U', '--upgrade',
dest='upgrade',
action='store_true',
help='Upgrade all packages to the newest available version')
self.parser.add_option(
'-I', '--ignore-installed',
dest='ignore_installed',
action='store_true',
help='Ignore the installed packages (reinstalling instead)')
self.parser.add_option(
'--no-deps', '--no-dependencies',
dest='ignore_dependencies',
action='store_true',
default=False,
help='Ignore package dependencies')
self.parser.add_option(
'--no-install',
dest='no_install',
action='store_true',
help="Download and unpack all packages, but don't actually install them")
self.parser.add_option(
'--no-download',
dest='no_download',
action="store_true",
help="Don't download any packages, just install the ones already downloaded "
"(completes an install run with --no-install)")
self.parser.add_option(
'--install-option',
dest='install_options',
action='append',
help="Extra arguments to be supplied to the setup.py install "
"command (use like --install-option=\"--install-scripts=/usr/local/bin\"). "
"Use multiple --install-option options to pass multiple options to setup.py install. "
"If you are using an option with a directory path, be sure to use absolute path.")
self.parser.add_option(
'--global-option',
dest='global_options',
action='append',
help="Extra global options to be supplied to the setup.py"
"call before the install command")
self.parser.add_option(
'--user',
dest='use_user_site',
action='store_true',
help='Install to user-site')
|
|
14,057
|
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"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, "value": {"_type": "Name", "_fields": {"id": "args", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "config", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "server_host"}}, "value": {"_type": "Name", "_fields": {"id": "config", "ctx": {"_type": "Load", "_fields": {}}}}}}, "comparators": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "server_host"}}, "value": {"_type": "Name", "_fields": {"id": "env_options", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "In", "_fields": {}}], "left": {"_type": "Constant", "_fields": {"kind": null, "value": "server_host"}}, "comparators": [{"_type": "Name", "_fields": {"id": "env_options", "ctx": {"_type": "Load", "_fields": {}}}}]}}, "orelse": [{"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "server_host"}}, "value": {"_type": "Name", "_fields": {"id": "config", "ctx": {"_type": "Load", "_fields": {}}}}}}, "comparators": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "browser_host"}}, "value": {"_type": "Name", "_fields": {"id": "config", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}]}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "bind_address"}}, "value": {"_type": "Name", "_fields": {"id": "config", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Name", "_fields": {"id": "bool", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "isinstance", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "test_paths", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}], "func": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "none"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "environments", "value": {"_type": "Name", "_fields": {"id": "sslutils", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, {"_type": "Constant", "_fields": {"kind": null, "value": false}}, {"_type": "Constant", "_fields": {"kind": null, "value": null}}, {"_type": "Name", "_fields": {"id": "env_options", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "env_extras", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "TestEnvironment", "value": {"_type": "Name", "_fields": {"id": "environment", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "optional_vars": {"_type": "Name", "_fields": {"id": "test_environment", "ctx": {"_type": "Store", "_fields": {}}}}}}], "type_comment": null}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "serve", "value": {"_type": "Name", "_fields": {"id": "environment", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "start"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "object", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "patch", "value": {"_type": "Name", "_fields": {"id": "mock", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "optional_vars": {"_type": "Name", "_fields": {"id": "start", "ctx": {"_type": "Store", "_fields": {}}}}}}], "type_comment": null}}], "name": "test_server_start_config", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_server_start_config(product):
(check_args,
target_browser_cls, get_browser_kwargs,
executor_classes, get_executor_kwargs,
env_options, get_env_extras, run_info_extras) = products.load_product({}, product)
env_extras = get_env_extras()
with mock.patch.object(environment.serve, "start") as start:
with environment.TestEnvironment(test_paths,
sslutils.environments["none"](None),
False,
None,
env_options,
env_extras) as test_environment:
start.assert_called_once()
args = start.call_args
config = args[0][0]
if "server_host" in env_options:
assert config["server_host"] == env_options["server_host"]
else:
assert config["server_host"] == config["browser_host"]
assert isinstance(config["bind_address"], bool)
|
|
14,058
|
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] | 9
|
{"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "1.0"}}, "targets": [{"_type": "Name", "_fields": {"id": "VERSION", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "arch"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "hv_type"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "vm_mode"}}], "values": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "ArchitectureField", "value": {"_type": "Name", "_fields": {"id": "fields", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "HVTypeField", "value": {"_type": "Name", "_fields": {"id": "fields", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "VMModeField", "value": {"_type": "Name", "_fields": {"id": "fields", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "fields", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "cls", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "data", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "cls", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "arch", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, "value": {"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "keyword", "_fields": {"arg": "hv_type", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}, "value": {"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "keyword", "_fields": {"arg": "vm_mode", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 2}}, "value": {"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}}}], "name": "from_list", "returns": null, "type_params": [], "type_comment": null, "decorator_list": [{"_type": "Name", "_fields": {"id": "classmethod", "ctx": {"_type": "Load", "_fields": {}}}}]}}, {"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Return", "_fields": {"value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "arch", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "hv_type", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "vm_mode", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}], "name": "to_list", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "HVSpec", "bases": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "NovaObject", "value": {"_type": "Name", "_fields": {"id": "base", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "NovaObjectDictCompat", "value": {"_type": "Name", "_fields": {"id": "base", "ctx": {"_type": "Load", "_fields": {}}}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
|
class HVSpec(base.NovaObject,
base.NovaObjectDictCompat):
# Version 1.0: Initial version
VERSION = '1.0'
fields = {
'arch': fields.ArchitectureField(),
'hv_type': fields.HVTypeField(),
'vm_mode': fields.VMModeField(),
}
# NOTE(pmurray): for backward compatibility, the supported instance
# data is stored in the database as a list.
@classmethod
def from_list(cls, data):
return cls(arch=data[0],
hv_type=data[1],
vm_mode=data[2])
def to_list(self):
return [self.arch, self.hv_type, self.vm_mode]
|
|
14,059
|
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] | 10
|
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "statePath", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "server", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "reactor", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "shutdownMustSucceed", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [{"_type": "Constant", "_fields": {"kind": null, "value": true}}], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "If", "_fields": {"body": [{"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "Handler already registered, aborting."}}], "func": {"_type": "Name", "_fields": {"id": "AssertionError", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "cause": null}}], "test": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "handlerRegistered", "value": {"_type": "Name", "_fields": {"id": "_ShutdownHandler", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": []}}, {"_type": "Assign", "_fields": {"value": {"_type": "Name", "_fields": {"id": "server", "ctx": {"_type": "Load", "_fields": {}}}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "_server", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Name", "_fields": {"id": "reactor", "ctx": {"_type": "Load", "_fields": {}}}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "_reactor", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "statePath", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "running.marker"}}], "func": {"_type": "Name", "_fields": {"id": "join", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "_runningMarkerFile", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "The '%s' process was not previously shutdown to a consistent persistent state."}}, "right": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, "value": {"_type": "Name", "_fields": {"id": "argv", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Name", "_fields": {"id": "print", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "flush", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "stdout", "value": {"_type": "Name", "_fields": {"id": "sys", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, {"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "NOT starting from an unknown state."}}], "func": {"_type": "Name", "_fields": {"id": "print", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "flush", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "stdout", "value": {"_type": "Name", "_fields": {"id": "sys", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, {"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "ShutdownFailedException", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "cause": null}}], "test": {"_type": "Name", "_fields": {"id": "shutdownMustSucceed", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": []}}], "test": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_runningMarkerFile", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "isfile", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": []}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_register", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "__init__", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def __init__(self, statePath, server, reactor, shutdownMustSucceed=True):
if _ShutdownHandler.handlerRegistered:
raise AssertionError('Handler already registered, aborting.')
self._server = server
self._reactor = reactor
self._runningMarkerFile = join(statePath, 'running.marker')
if isfile(self._runningMarkerFile):
print("The '%s' process was not previously shutdown to a consistent persistent state." % argv[0])
sys.stdout.flush()
if shutdownMustSucceed:
print("NOT starting from an unknown state.")
sys.stdout.flush()
raise ShutdownFailedException()
self._register()
|
|
14,060
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{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Dict", "_fields": {"keys": [], "values": []}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "_previouslyRegisteredHandlers", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "For", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "signalnum", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_handleShutdown", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "signal", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "signalnum", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_previouslyRegisteredHandlers", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "type_comment": null}}], "iter": {"_type": "Name", "_fields": {"id": "SHUTDOWN_SIGNALS", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "signalnum", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "With", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "written by registerShutdownHandler method in '%s' process"}}, "right": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, "value": {"_type": "Name", "_fields": {"id": "argv", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "write", "value": {"_type": "Name", "_fields": {"id": "fp", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_runningMarkerFile", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "w"}}], "func": {"_type": "Name", "_fields": {"id": "open", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "optional_vars": {"_type": "Name", "_fields": {"id": "fp", "ctx": {"_type": "Store", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "handlerRegistered", "value": {"_type": "Name", "_fields": {"id": "_ShutdownHandler", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}], "name": "_register", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def _register(self):
self._previouslyRegisteredHandlers = {}
for signalnum in SHUTDOWN_SIGNALS:
self._previouslyRegisteredHandlers[signalnum] = signal(signalnum, self._handleShutdown)
with open(self._runningMarkerFile, 'w') as fp:
fp.write("written by registerShutdownHandler method in '%s' process" % argv[0])
_ShutdownHandler.handlerRegistered = True
|
|
14,061
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] | 10
|
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "signum", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "frame", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_runningMarkerFile", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "isfile", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "handleShutdown", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "once", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_server", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "consume", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_runningMarkerFile", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "remove", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "Shutdown completed."}}], "func": {"_type": "Name", "_fields": {"id": "print", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "flush", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "stdout", "value": {"_type": "Name", "_fields": {"id": "sys", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "signum", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_previouslyRegisteredHandlers", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "previousHandler", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "signum", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "frame", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "previousHandler", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "NotIn", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "previousHandler", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "SIG_DFL", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "SIG_IGN", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": null}}]}}]}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "KeyboardInterrupt", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "cause": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "signum", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Name", "_fields": {"id": "SIGINT", "ctx": {"_type": "Load", "_fields": {}}}}]}}, "orelse": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 0}}], "func": {"_type": "Name", "_fields": {"id": "exit", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}]}}], "name": "_deferredHandleShutdown", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def _deferredHandleShutdown(self, signum, frame):
assert isfile(self._runningMarkerFile)
consume(self._server.once.handleShutdown())
remove(self._runningMarkerFile)
print('Shutdown completed.')
sys.stdout.flush()
previousHandler = self._previouslyRegisteredHandlers[signum]
if previousHandler not in [SIG_DFL, SIG_IGN, None]:
previousHandler(signum, frame)
if signum == SIGINT:
raise KeyboardInterrupt()
else:
exit(0)
|
|
14,062
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|
def test_chisquare():
# Test replacement for scipy.stats.chisquare against the original.
obs = np.array([[2., 2.],
[1., 1.]])
exp = np.array([[1.5, 1.5],
[1.5, 1.5]])
# call SciPy first because our version overwrites obs
chi_scp, p_scp = scipy.stats.chisquare(obs, exp)
chi_our, p_our = _chisquare(obs, exp)
assert_array_almost_equal(chi_scp, chi_our)
assert_array_almost_equal(p_scp, p_our)
|
|
14,063
|
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def test_chi2():
# Test Chi2 feature extraction
chi2 = mkchi2(k=1).fit(X, y)
chi2 = mkchi2(k=1).fit(X, y)
assert_equal(chi2.get_support(indices=True), [0])
assert_equal(chi2.transform(X), np.array(X)[:, [0]])
chi2 = mkchi2(k=2).fit(X, y)
assert_equal(sorted(chi2.get_support(indices=True)), [0, 2])
Xsp = csr_matrix(X, dtype=np.float)
chi2 = mkchi2(k=2).fit(Xsp, y)
assert_equal(sorted(chi2.get_support(indices=True)), [0, 2])
Xtrans = chi2.transform(Xsp)
assert_equal(Xtrans.shape, [Xsp.shape[0], 2])
# == doesn't work on scipy.sparse matrices
Xtrans = Xtrans.toarray()
Xtrans2 = mkchi2(k=2).fit_transform(Xsp, y).toarray()
assert_equal(Xtrans, Xtrans2)
|
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"Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "TransientModel", "value": {"_type": "Name", "_fields": {"id": "orm", "ctx": {"_type": "Load", "_fields": {}}}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
|
class RemovePeriod(orm.TransientModel):
_name = 'remove.period.from.vat.commitment'
def _get_period_ids(self, cr, uid, context=None):
commitment_obj = self.pool['account.vat.communication']
res = []
if 'active_id' in context:
commitment = commitment_obj.browse(
cr, uid, context['active_id'], context)
for period in commitment.period_ids:
res.append((period.id, period.name))
return res
_columns = {
'period_id': fields.selection(
_get_period_ids, 'Period', required=True),
}
def remove_period(self, cr, uid, ids, context=None):
if 'active_id' not in context:
raise orm.except_orm(_('Error'), _('Current commitment not found'))
self.pool['account.period'].write(
cr, uid, [int(self.browse(cr, uid, ids, context)[0].period_id)],
{'vat_commitment_id': False}, context=context
)
self.pool['account.vat.communication'].compute_amounts(
cr, uid, [context['active_id']], context=context)
return {
'type': 'ir.actions.act_window_close',
}
|
|
14,065
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] | 10
|
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "cr", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "uid", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "context", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "account.vat.communication"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "pool", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "commitment_obj", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": []}}, "targets": [{"_type": "Name", "_fields": {"id": "res", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "cr", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "uid", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "active_id"}}, "value": {"_type": "Name", "_fields": {"id": "context", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Name", "_fields": {"id": "context", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "browse", "value": {"_type": "Name", "_fields": {"id": "commitment_obj", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "commitment", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "For", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "id", "value": {"_type": "Name", "_fields": {"id": "period", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "name", "value": {"_type": "Name", "_fields": {"id": "period", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Name", "_fields": {"id": "res", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "iter": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "period_ids", "value": {"_type": "Name", "_fields": {"id": "commitment", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "period", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "In", "_fields": {}}], "left": {"_type": "Constant", "_fields": {"kind": null, "value": "active_id"}}, "comparators": [{"_type": "Name", "_fields": {"id": "context", "ctx": {"_type": "Load", "_fields": {}}}}]}}, "orelse": []}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "res", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "_get_period_ids", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def _get_period_ids(self, cr, uid, context=None):
commitment_obj = self.pool['account.vat.communication']
res = []
if 'active_id' in context:
commitment = commitment_obj.browse(
cr, uid, context['active_id'], context)
for period in commitment.period_ids:
res.append((period.id, period.name))
return res
|
|
14,066
|
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] | 12
|
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "cr", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "uid", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "ids", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "context", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "If", "_fields": {"body": [{"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "Error"}}], "func": {"_type": "Name", "_fields": {"id": "_", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "Current commitment not found"}}], "func": {"_type": "Name", "_fields": {"id": "_", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "except_orm", "value": {"_type": "Name", "_fields": {"id": "orm", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "cause": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "NotIn", "_fields": {}}], "left": {"_type": "Constant", "_fields": {"kind": null, "value": "active_id"}}, "comparators": [{"_type": "Name", "_fields": {"id": "context", "ctx": {"_type": "Load", "_fields": {}}}}]}}, "orelse": []}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "cr", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "uid", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "period_id", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "cr", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "uid", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "ids", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "context", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "browse", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}}}], "func": {"_type": "Name", "_fields": {"id": "int", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}]}}, {"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "vat_commitment_id"}}], "values": [{"_type": "Constant", "_fields": {"kind": null, "value": false}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "write", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "account.period"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "pool", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "context", "value": {"_type": "Name", "_fields": {"id": "context", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "cr", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "uid", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "active_id"}}, "value": {"_type": "Name", "_fields": {"id": "context", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "compute_amounts", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "account.vat.communication"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "pool", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "context", "value": {"_type": "Name", "_fields": {"id": "context", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}, {"_type": "Return", "_fields": {"value": {"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "type"}}], "values": [{"_type": "Constant", "_fields": {"kind": null, "value": "ir.actions.act_window_close"}}]}}}}], "name": "remove_period", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def remove_period(self, cr, uid, ids, context=None):
if 'active_id' not in context:
raise orm.except_orm(_('Error'), _('Current commitment not found'))
self.pool['account.period'].write(
cr, uid, [int(self.browse(cr, uid, ids, context)[0].period_id)],
{'vat_commitment_id': False}, context=context
)
self.pool['account.vat.communication'].compute_amounts(
cr, uid, [context['active_id']], context=context)
return {
'type': 'ir.actions.act_window_close',
}
|
|
14,067
|
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"ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "client_key", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "rsa_decrypt", "value": {"_type": "Name", "_fields": {"id": "crypto", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "decrypted", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "decrypted", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "loads", "value": {"_type": "Name", "_fields": {"id": "json", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "decrypt_from_server", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "PQAuthClient", "bases": [{"_type": "Name", "_fields": {"id": "object", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
|
class PQAuthClient(object):
def __init__(self, client_key, server_key):
self.client_key = client_key
self.server_key = server_key
self.server_key_fprint = crypto.public_key_fingerprint(self.server_key)
self.client_key_fprint = crypto.public_key_fingerprint(self.client_key)
self.client_guid = None
self.server_guid = None
self.expires = None
@property
def session_key(self):
return "%s:%s" % (self.client_guid, self.server_guid)
def get_hello_message(self):
self.client_guid = crypto.random_guid()
hello_message = {"client_guid": self.client_guid,
"client_key_fingerprint": self.client_key_fprint}
return hello_message
def process_hello_response(self, response):
# Check the server send back the client_guid we sent.
if response["client_guid"] != self.client_guid:
message = ("Server did not send back the expected client_guid. "
"Expected: %s, Got: %s" %
(self.client_guid, response["client_guid"]))
raise ProtocolError(message)
# Check the server's stated fingerprint matches the one we know
if response["server_key_fingerprint"] != self.server_key_fprint:
message = ("Server did not send back the expected key fingerprint. "
"Expected: %s, Got: %s" %
(self.server_key_fprint,
response["server_key_fingerprint"]))
raise ProtocolError(message)
self.expires = response["expires"]
self.server_guid = response["server_guid"]
def get_confirmation_message(self):
confirm_message = {"server_guid": self.server_guid}
return confirm_message
def encrypt_for_server(self, message):
as_json = json.dumps(message)
return crypto.rsa_encrypt(as_json, self.server_key)
def decrypt_from_server(self, encrypted):
decrypted = crypto.rsa_decrypt(encrypted, self.client_key)
return json.loads(decrypted)
|
|
14,068
|
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] | 9
|
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "response", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "Server did not send back the expected client_guid. Expected: %s, Got: %s"}}, "right": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "client_guid", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "client_guid"}}, "value": {"_type": "Name", "_fields": {"id": "response", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}, "targets": [{"_type": "Name", "_fields": {"id": "message", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "message", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "ProtocolError", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "cause": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "NotEq", "_fields": {}}], "left": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "client_guid"}}, "value": {"_type": "Name", "_fields": {"id": "response", "ctx": {"_type": "Load", "_fields": {}}}}}}, "comparators": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "client_guid", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "Server did not send back the expected key fingerprint. Expected: %s, Got: %s"}}, "right": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "server_key_fprint", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "server_key_fingerprint"}}, "value": {"_type": "Name", "_fields": {"id": "response", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}, "targets": [{"_type": "Name", "_fields": {"id": "message", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "message", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "ProtocolError", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "cause": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "NotEq", "_fields": {}}], "left": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "server_key_fingerprint"}}, "value": {"_type": "Name", "_fields": {"id": "response", "ctx": {"_type": "Load", "_fields": {}}}}}}, "comparators": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "server_key_fprint", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "orelse": []}}, {"_type": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "expires"}}, "value": {"_type": "Name", "_fields": {"id": "response", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "expires", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "server_guid"}}, "value": {"_type": "Name", "_fields": {"id": "response", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "server_guid", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}], "name": "process_hello_response", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def process_hello_response(self, response):
# Check the server send back the client_guid we sent.
if response["client_guid"] != self.client_guid:
message = ("Server did not send back the expected client_guid. "
"Expected: %s, Got: %s" %
(self.client_guid, response["client_guid"]))
raise ProtocolError(message)
# Check the server's stated fingerprint matches the one we know
if response["server_key_fingerprint"] != self.server_key_fprint:
message = ("Server did not send back the expected key fingerprint. "
"Expected: %s, Got: %s" %
(self.server_key_fprint,
response["server_key_fingerprint"]))
raise ProtocolError(message)
self.expires = response["expires"]
self.server_guid = response["server_guid"]
|
|
14,069
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] | 9
|
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "number", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "size", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mult", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "number", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": 100}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": 0}}], "func": {"_type": "Name", "_fields": {"id": "round", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "int", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "str", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "text", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "Error:\n\nCan not convert float number %(number).2f to fit in %(size)d characters."}}], "func": {"_type": "Name", "_fields": {"id": "_", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "right": {"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "number"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "size"}}], "values": [{"_type": "Name", "_fields": {"id": "number", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "size", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}], "func": {"_type": "Name", "_fields": {"id": "Log", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "cause": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Gt", "_fields": {}}], "left": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "text", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "len", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "comparators": [{"_type": "Name", "_fields": {"id": "size", "ctx": {"_type": "Load", "_fields": {}}}}]}}, "orelse": []}}, {"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "size", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "zfill", "value": {"_type": "Name", "_fields": {"id": "text", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "convert_float", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def convert_float(self, number, size):
text = str(int(round(number * 100, 0)))
if len(text) > size:
raise Log(_('Error:\n\nCan not convert float number %(number).2f '
'to fit in %(size)d characters.') % {
'number': number,
'size': size
})
return text.zfill(size)
|
|
14,070
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] | 10
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{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "value", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "size", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "justified", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [{"_type": "Constant", "_fields": {"kind": null, "value": "left"}}], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "If", "_fields": {"body": [{"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": ""}}, {"_type": "Name", "_fields": {"id": "size", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "convert_text", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Name", "_fields": {"id": "value", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": [{"_type": "If", "_fields": {"body": [{"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "value", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "size", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "convert_float", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "value", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "float", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "isinstance", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": [{"_type": "If", "_fields": {"body": [{"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "value", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "size", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "convert_int", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "value", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "int", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "isinstance", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": [{"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "value", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "size", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "justified", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "convert_text", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}]}}]}}]}}], "name": "convert", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def convert(self, value, size, justified='left'):
if not value:
return self.convert_text('', size)
elif isinstance(value, float):
return self.convert_float(value, size)
elif isinstance(value, int):
return self.convert_int(value, size)
else:
return self.convert_text(value, size, justified)
|
|
14,071
|
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] | 9
|
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "number", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "size", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "number", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "str", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "text", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "Error:\n\nCan not convert integer number %(number)d to fit in %(size)d characters."}}], "func": {"_type": "Name", "_fields": {"id": "_", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "right": {"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "number"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "size"}}], "values": [{"_type": "Name", "_fields": {"id": "number", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "size", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}], "func": {"_type": "Name", "_fields": {"id": "Log", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "cause": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Gt", "_fields": {}}], "left": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "text", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "len", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "comparators": [{"_type": "Name", "_fields": {"id": "size", "ctx": {"_type": "Load", "_fields": {}}}}]}}, "orelse": []}}, {"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "size", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "zfill", "value": {"_type": "Name", "_fields": {"id": "text", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "convert_int", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def convert_int(self, number, size):
text = str(number)
if len(text) > size:
raise Log(_('Error:\n\nCan not convert integer number %(number)d '
'to fit in %(size)d characters.') % {
'number': number,
'size': size
})
return text.zfill(size)
|
|
14,072
|
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] | 9
|
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "value", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "partner_name", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "If", "_fields": {"body": [{"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "User error:\n\nThe bank account number of %s is not defined."}}], "func": {"_type": "Name", "_fields": {"id": "_", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "right": {"_type": "Name", "_fields": {"id": "partner_name", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "Log", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "cause": null}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "value", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "basestring", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "isinstance", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, "orelse": []}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "value", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "digits_only", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "ccc", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "User error:\n\nThe bank account number of %s does not have 20 digits."}}], "func": {"_type": "Name", "_fields": {"id": "_", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "right": {"_type": "Name", "_fields": {"id": "partner_name", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "Log", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "cause": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "NotEq", "_fields": {}}], "left": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "ccc", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "len", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": 20}}]}}, "orelse": []}}, {"_type": "Return", "_fields": {"value": {"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "bank"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "office"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "dc"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "account"}}], "values": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Slice", "_fields": {"step": null, "lower": null, "upper": {"_type": "Constant", "_fields": {"kind": null, "value": 4}}}}, "value": {"_type": "Name", "_fields": {"id": "ccc", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Slice", "_fields": {"step": null, "lower": {"_type": "Constant", "_fields": {"kind": null, "value": 4}}, "upper": {"_type": "Constant", "_fields": {"kind": null, "value": 8}}}}, "value": {"_type": "Name", "_fields": {"id": "ccc", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Slice", "_fields": {"step": null, "lower": {"_type": "Constant", "_fields": {"kind": null, "value": 8}}, "upper": {"_type": "Constant", "_fields": {"kind": null, "value": 10}}}}, "value": {"_type": "Name", "_fields": {"id": "ccc", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Slice", "_fields": {"step": null, "lower": {"_type": "Constant", "_fields": {"kind": null, "value": 10}}, "upper": null}}, "value": {"_type": "Name", "_fields": {"id": "ccc", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}], "name": "bank_account_parts", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def bank_account_parts(self, value, partner_name):
if not isinstance(value, basestring):
raise Log(_('User error:\n\nThe bank account number of %s is not '
'defined.') % partner_name)
ccc = self.digits_only(value)
if len(ccc) != 20:
raise Log(_('User error:\n\nThe bank account number of %s does '
'not have 20 digits.') % partner_name)
return {'bank': ccc[:4],
'office': ccc[4:8],
'dc': ccc[8:10],
'account': ccc[10:]}
|
|
14,073
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] | 9
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{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "value", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "partner_name", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "If", "_fields": {"body": [{"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "User error:\n\nThe bank account number of %s is not defined."}}], "func": {"_type": "Name", "_fields": {"id": "_", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "right": {"_type": "Name", "_fields": {"id": "partner_name", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "Log", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "cause": null}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "value", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "basestring", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "isinstance", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, "orelse": []}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "value", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "digits_only", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "ccc", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "User error:\n\nThe bank account number of %s does not have 20 digits."}}], "func": {"_type": "Name", "_fields": {"id": "_", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "right": {"_type": "Name", "_fields": {"id": "partner_name", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "Log", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "cause": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "NotEq", "_fields": {}}], "left": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "ccc", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "len", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": 20}}]}}, "orelse": []}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "ccc", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "convert_bank_account", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def convert_bank_account(self, value, partner_name):
if not isinstance(value, basestring):
raise Log(_('User error:\n\nThe bank account number of %s is not '
'defined.') % partner_name)
ccc = self.digits_only(value)
if len(ccc) != 20:
raise Log(_('User error:\n\nThe bank account number of %s does not'
' have 20 digits.') % partner_name)
return ccc
|
|
14,074
|
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"func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "exists", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "path", "value": {"_type": "Name", "_fields": {"id": "os", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "orelse": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "'%s' does not exist -- can't clean it"}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "build_temp", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "debug", "value": {"_type": "Name", "_fields": {"id": "log", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}]}}, {"_type": "If", "_fields": {"body": [{"_type": "For", "_fields": {"body": [{"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "directory", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "remove_tree", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "dry_run", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "dry_run", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}}}], "test": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "directory", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "exists", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "path", "value": {"_type": "Name", "_fields": {"id": "os", "ctx": {"_type": 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{"_type": "Load", "_fields": {}}, "attr": "rmdir", "value": {"_type": "Name", "_fields": {"id": "os", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "removing '%s'"}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "build_base", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "info", "value": {"_type": "Name", "_fields": {"id": "log", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "orelse": [], "handlers": [{"_type": "ExceptHandler", "_fields": {"body": [{"_type": "Pass", "_fields": {}}], "name": null, "type": {"_type": "Name", "_fields": {"id": "OSError", "ctx": {"_type": "Load", "_fields": {}}}}}}], "finalbody": []}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "dry_run", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "orelse": []}}], "name": "run", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "clean", "bases": [{"_type": "Name", "_fields": {"id": "Command", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
|
class clean(Command):
description = "clean up temporary files from 'build' command"
user_options = [
('build-base=', 'b',
"base build directory (default: 'build.build-base')"),
('build-lib=', None,
"build directory for all modules (default: 'build.build-lib')"),
('build-temp=', 't',
"temporary build directory (default: 'build.build-temp')"),
('build-scripts=', None,
"build directory for scripts (default: 'build.build-scripts')"),
('bdist-base=', None,
"temporary directory for built distributions"),
('all', 'a',
"remove all build output, not just temporary by-products")
]
boolean_options = ['all']
def initialize_options(self):
self.build_base = None
self.build_lib = None
self.build_temp = None
self.build_scripts = None
self.bdist_base = None
self.all = None
def finalize_options(self):
self.set_undefined_options('build',
('build_base', 'build_base'),
('build_lib', 'build_lib'),
('build_scripts', 'build_scripts'),
('build_temp', 'build_temp'))
self.set_undefined_options('bdist',
('bdist_base', 'bdist_base'))
def run(self):
# remove the build/temp.<plat> directory (unless it's already
# gone)
if os.path.exists(self.build_temp):
remove_tree(self.build_temp, dry_run=self.dry_run)
else:
log.debug("'%s' does not exist -- can't clean it",
self.build_temp)
if self.all:
# remove build directories
for directory in (self.build_lib,
self.bdist_base,
self.build_scripts):
if os.path.exists(directory):
remove_tree(directory, dry_run=self.dry_run)
else:
log.warn("'%s' does not exist -- can't clean it",
directory)
# just for the heck of it, try to remove the base build directory:
# we might have emptied it right now, but if not we don't care
if not self.dry_run:
try:
os.rmdir(self.build_base)
log.info("removing '%s'", self.build_base)
except OSError:
pass
|
|
14,075
|
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{}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "string", "value": {"_type": "Constant", "_fields": {"kind": "u", "value": "收支类别"}}}}, {"_type": "keyword", "_fields": {"arg": "domain", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "[('type','in',['other_get','other_pay'])]"}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "category_ids", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "finance.account"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Many2many", "value": {"_type": "Name", "_fields": {"id": "fields", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "string", "value": {"_type": "Constant", "_fields": {"kind": "u", "value": "会计科目期初"}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "begin_ids", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "finance.account"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Many2many", "value": {"_type": "Name", "_fields": {"id": "fields", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "string", "value": {"_type": "Constant", "_fields": {"kind": "u", "value": "会计科目期末"}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "end_ids", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "cash.flow.template"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "c_p"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "c_id"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "p_id"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Many2many", "value": {"_type": "Name", "_fields": {"id": "fields", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "string", "value": {"_type": "Constant", "_fields": {"kind": "u", "value": "+表行"}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "plus_ids", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "cash.flow.template"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "c_n"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "c_id"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "n_id"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Many2many", "value": {"_type": "Name", "_fields": {"id": "fields", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "string", "value": {"_type": "Constant", "_fields": {"kind": "u", "value": "-表行"}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "nega_ids", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "name": "CashFlowTemplate", "bases": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Model", "value": {"_type": "Name", "_fields": {"id": "models", "ctx": {"_type": "Load", "_fields": {}}}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
|
class CashFlowTemplate(models.Model):
_name = 'cash.flow.template'
_order = 'sequence'
sequence = fields.Integer(u'序号')
name = fields.Char(u'项目')
line_num = fields.Char(u'行次')
line_type = fields.Selection(LINE_TYPES, u'行类型')
# for type sum
category_ids = fields.Many2many(
'core.category', string=u'收支类别', domain="[('type','in',['other_get','other_pay'])]")
# for type begin
begin_ids = fields.Many2many('finance.account', string=u'会计科目期初')
# for type end
end_ids = fields.Many2many('finance.account', string=u'会计科目期末')
# for type lines
plus_ids = fields.Many2many(
'cash.flow.template', 'c_p', 'c_id', 'p_id', string=u'+表行')
nega_ids = fields.Many2many(
'cash.flow.template', 'c_n', 'c_id', 'n_id', string=u'-表行')
|
|
14,076
|
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|
def main(argv=sys.argv):
unix_success = 0
unix_error = 1
################ get user parameters
if len(argv) < 2 : # print selfdoc and exit if no parameters
rsfprog.selfdoc()
return unix_error
par = rsf.Par(argv) # get parameters
levels = par.int('levels',3)
# directory search depth
list = par.string('list')
# how much to list [all,filter,none], default = all
timer = par.string('timer')
# output execution time [log,file,none], default = none
rsfproj = par.string('rsfproj')
# rsfproj filter [yes,no,both], default = yes
size = par.int('size',1024**2)
# max data size filter (MB)
size = size*1024**2
uses = par.string('uses')
# uses filter, default = any
fetch_none = par.bool('nofetch',True)
# fetch-no-data filter
fetch_public = par.bool('public',False)
# fetch-public-data filter
fetch_private = par.bool('private',False)
# fetch-private-data filter
fetch_local = par.bool('local',False)
# fetch-local-data filter
command = par.string('command')
# command to execute in each directory, default = none
skipfile = par.string('skipfile')
# file with list of directories to skip
if list is None: list='all'
if list not in ['all','filter','none']:
sys.stderr.write('Unknown list option: %s\n' % list)
return unix_error
if timer is None: timer='none'
if timer not in ['log','file','none']:
sys.stderr.write('Unknown timer option: %s\n' % timer)
return unix_error
if rsfproj is None: rsfproj='yes'
if rsfproj not in ['yes','no','both']:
sys.stderr.write('Unknown rsfproj option: %s\n' % rsfproj)
return unix_error
if uses is None: uses='any'
if fetch_none is None: fetch_none = True
if fetch_public is None: fetch_public = False
if fetch_private is None: fetch_private = False
if fetch_local is None: fetch_local = False
################ build list of search directories
books = []
for item in argv[1:]:
if '=' in item: continue # skip parameter items
if not os.path.exists(item): # does item exist?
sys.stderr.write("Directory '%s' does not exist.\n" % item)
continue
if not os.path.isdir(item): # is item a directory?
sys.stderr.write("File '%s' is not a directory.\n" % item)
continue
books.append(os.path.normpath(item))
if len(books) == 0: # nothing to search
sys.stderr.write("No directories to search.\n")
return unix_error
sys.stdout.write("Searching in: %s\n\n" % books)
sys.stdout.flush()
################ read skipfile
g = {}
l = {}
if skipfile is not None: execfile(skipfile,g,l)
if 'skiplist' in l: skiplist = l['skiplist']
else: skiplist = []
################ get list of tools installed in $RSFROOT
tool_list = os.listdir(os.path.join(RSFROOT,"bin"))
################ search directory tree
if (list == 'all') or (list == 'filter'):
sys.stdout.write('command rsfproj data size directory\n')
sys.stdout.flush()
total_list = 0
total_size = 0
pass_list = 0
pass_size = 0
rsfproj_yes = 0
rsfproj_no = 0
rsfproj_error = 0
command_error = 0
data_unknown = 0
data_none = 0
data_public = 0
data_private = 0
data_local = 0
for bookdir in books:
for root,dirs,files in os.walk(bookdir):
if '.svn' in dirs: dirs.remove('.svn') # don't visit .svn dirs
reldir = root.replace(bookdir,"dummy",1) # get relative dir name
level = len(reldir.split(os.sep))-1 # get dir level
if level < levels: continue # scan to depth 'levels' ...
if level == levels: del dirs[:] # ... but not beyond 'levels'
# skip dirs without SConstruct
if 'SConstruct' not in files: continue
# read rsfproj file
tuple = read_rsfproj(root,files)
(error,rsfproj_exist,uses_list,data_type,data_size) = tuple
if error==1:
rsfproj_error = rsfproj_error+1
string = " ********* .rsfproj error ********* %s\n"
sys.stdout.write(string % root)
sys.stdout.flush()
tools = 'yes'
for item in uses_list:
if (item not in tool_list): tools = 'no '
# calculate directory filter
options = (skiplist,rsfproj,uses,size,fetch_none,fetch_public,fetch_private,fetch_local)
props = (root,rsfproj_exist,uses_list,data_type,data_size)
filter = calc_filter(options,props)
if filter==True:
pass_list = pass_list+1
pass_size = pass_size+data_size
# print data for each directory
if (list == 'all') or ((list == 'filter') and (filter == True)):
total_list = total_list+1
total_size = total_size+data_size
if filter: filter_command = 'yes'
else: filter_command = 'no '
if rsfproj_exist == 'yes' : rsfproj_yes = rsfproj_yes+1
if rsfproj_exist == 'no' : rsfproj_no = rsfproj_no+1
if data_type == 'unknown' : data_unknown = data_unknown+1
if data_type == 'none' : data_none = data_none+1
if data_type == 'public' : data_public = data_public+1
if data_type == 'private' : data_private = data_private+1
if data_type == 'local' : data_local = data_local+1
tuple = (filter_command,rsfproj_exist,
data_type,size_string(data_size),root)
sys.stdout.write('%s %-3s %10s %-7s %s\n' % tuple)
sys.stdout.flush()
# execute command in directory
if (filter is True) and (command is not None):
string = " +++++++++ running command +++++++++ %s\n"
sys.stdout.write(string % root)
sys.stdout.flush()
tuple = command_wait(' '.join(['cd',root,';',command]))
(exit,dt_user,dt_sys,dt_real) = tuple
if (timer == 'log'):
string = " user %6.2f sys %6.2f real %6.2f %s\n"
sys.stdout.write(string % (dt_user,dt_sys,dt_real,root))
if (timer == 'file'):
rsftimer_write(root,exit,dt_user,dt_sys,dt_real)
if (exit==0):
string = " --------- command success --------- %s\n"
else:
string = " ********* command error ********* %s\n"
command_error = command_error+1
sys.stdout.write(string % root)
sys.stdout.write("\n")
sys.stdout.flush()
sys.stdout.write("\n")
sys.stdout.write("Directories listed : %3d\n" % total_list)
sys.stdout.write("Total data size : %s\n" % size_string(total_size))
sys.stdout.write("\n")
sys.stdout.write("Directories with .rsfproj : %3d\n" % rsfproj_yes)
sys.stdout.write("Directories without .rsfproj : %3d\n" % rsfproj_no)
sys.stdout.write(".rsfproj errors : %3d\n" % rsfproj_error)
sys.stdout.write("\n")
sys.stdout.write("Directories for command : %3d\n" % pass_list)
sys.stdout.write("Total data size for command : %s\n" % size_string(pass_size))
sys.stdout.write("Command errors : %3d\n" % command_error)
sys.stdout.write("\n")
sys.stdout.write("Directories using unknown external data : %3d\n" % data_unknown)
sys.stdout.write("Directories using no external data : %3d\n" % data_none)
sys.stdout.write("Directories using public external data : %3d\n" % data_public)
sys.stdout.write("Directories using private external data : %3d\n" % data_private)
sys.stdout.write("Directories using local data : %3d\n" % data_local)
sys.stdout.write("\n")
return unix_success
|
|
14,077
|
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{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "build_temp", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "remove_tree", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "dry_run", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "dry_run", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", 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|
def run(self):
# remove the build/temp.<plat> directory (unless it's already
# gone)
if os.path.exists(self.build_temp):
remove_tree(self.build_temp, dry_run=self.dry_run)
else:
log.debug("'%s' does not exist -- can't clean it",
self.build_temp)
if self.all:
# remove build directories
for directory in (self.build_lib,
self.bdist_base,
self.build_scripts):
if os.path.exists(directory):
remove_tree(directory, dry_run=self.dry_run)
else:
log.warn("'%s' does not exist -- can't clean it",
directory)
# just for the heck of it, try to remove the base build directory:
# we might have emptied it right now, but if not we don't care
if not self.dry_run:
try:
os.rmdir(self.build_base)
log.info("removing '%s'", self.build_base)
except OSError:
pass
|
|
14,078
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"_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "min_phons", "value": {"_type": "Name", "_fields": {"id": "FLAGS", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "keyword", "_fields": {"arg": "max_phons", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "max_phons", "value": {"_type": "Name", "_fields": {"id": "FLAGS", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "save_directory", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "critical_bands", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "save_data", "value": {"_type": "Name", "_fields": {"id": "data_analysis", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "covered_num_tones_per_cb", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "total_unique_examples", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "total_num_examples_listeners", "ctx": {"_type": "Store", "_fields": {}}}}]}}], "type_comment": null}}], "name": "main", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def main(argv):
if len(argv) > 1:
raise app.UsageError("Too many command-line arguments.")
assert FLAGS.min_frequency < 100, "--min_frequency higher than 100."
assert FLAGS.max_frequency > 15250, "--max_frequency lower than 15250."
save_directory = os.path.join(
os.path.dirname(os.path.realpath(__file__)),
FLAGS.save_directory)
if not os.path.exists(save_directory):
os.mkdir(save_directory)
# TODO(lauraruis): define this elsewhere
critical_bands = [
FLAGS.min_frequency, 100, 200, 300, 400, 505, 630, 770, 915, 1080, 1265,
1475, 1720, 1990, 2310, 2690, 3125, 3675, 4350, 5250, 6350, 7650, 9400,
11750, 15250, FLAGS.max_frequency
]
# Generate the data.
data = data_generation.generate_data(
num_examples_per_cb=FLAGS.examples_per_critical_band,
desired_mean=FLAGS.desired_mean,
desired_variance=FLAGS.desired_variance,
min_tones=FLAGS.min_tones,
max_tones=FLAGS.max_tones,
clip_db=FLAGS.clip_db,
desired_skewness=FLAGS.skewness_parameter,
min_frequency=FLAGS.min_frequency,
max_frequency=FLAGS.max_frequency,
critical_bands=critical_bands,
min_phons=FLAGS.min_phons,
max_phons=FLAGS.max_phons)
# Run and save some analysis on the generated data.
(covered_num_tones_per_cb, total_unique_examples,
total_num_examples_listeners) = data_analysis.save_data(
data, save_directory, critical_bands)
|
|
14,079
|
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null}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "parts", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "len", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": 4}}]}}}}], "name": "test_geocode", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_geocode(tmpdir, testdata):
scene = testdata['s1']
geocode(scene, str(tmpdir), test=True)
xmlfile = finder(str(tmpdir), ['*.xml'])[0]
tree = Workflow(xmlfile)
assert is_consistent(tree) is True
groups = groupbyWorkers(xmlfile, 2)
assert len(groups) == 4
groups2 = groupbyWorkers(xmlfile, 100)
assert len(groups2) == 1
split(xmlfile, groups)
id = identify(scene)
basename = '{}_{}'.format(id.outname_base(), tree.suffix())
procdir = os.path.join(str(tmpdir), basename)
assert os.path.isdir(procdir)
tempdir = os.path.join(procdir, 'tmp')
assert os.path.isdir(tempdir)
parts = finder(tempdir, ['*.xml'])
assert len(parts) == 4
|
|
14,080
|
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|
class Test_geocode_opts():
def test_infile_type(self, tmpdir, testdata):
scene = testdata['s1']
with pytest.raises(TypeError):
geocode(infile=123, outdir=str(tmpdir), test=True)
id = identify(scene)
geocode(infile=id, outdir=str(tmpdir), test=True)
def test_pol(self, tmpdir, testdata):
scene = testdata['s1']
with pytest.raises(RuntimeError):
geocode(scene, str(tmpdir), polarizations=1, test=True)
with pytest.raises(RuntimeError):
geocode(scene, str(tmpdir), polarizations='foobar', test=True)
geocode(scene, str(tmpdir), polarizations='VV', test=True)
def test_pol_list(self, tmpdir, testdata):
scene = testdata['s1']
geocode(scene, str(tmpdir), polarizations=['VV', 'VH'], test=True)
def test_geotype(self, tmpdir, testdata):
scene = testdata['s1']
with pytest.raises(RuntimeError):
geocode(scene, str(tmpdir), geocoding_type='foobar', test=True)
geocode(scene, str(tmpdir), test=True,
geocoding_type='SAR simulation cross correlation')
def test_srs(self, tmpdir, testdata):
scene = testdata['s1']
with pytest.raises(RuntimeError):
geocode(scene, str(tmpdir), t_srs='foobar', test=True)
geocode(scene, str(tmpdir), t_srs=32632, test=True)
def test_scaling(self, tmpdir, testdata):
scene = testdata['s1']
with pytest.raises(RuntimeError):
geocode(scene, str(tmpdir), scaling='foobar', test=True)
def test_shp(self, tmpdir, testdata):
scene = testdata['s1']
ext = {'xmin': 12, 'xmax': 13, 'ymin': 53, 'ymax': 54}
with bbox(ext, 4326) as new:
with pytest.raises(RuntimeError):
geocode(scene, str(tmpdir), shapefile=new, test=True)
with identify(scene).bbox() as box:
ext = box.extent
ext['xmax'] -= 1
with bbox(ext, 4326) as new:
geocode(scene, str(tmpdir), shapefile=new, test=True)
def test_offset(self, tmpdir, testdata):
scene = testdata['s1']
geocode(scene, str(tmpdir), offset=(100, 100, 0, 0), test=True)
def test_export_extra(self, tmpdir, testdata):
scene = testdata['s1']
with pytest.raises(RuntimeError):
geocode(scene, str(tmpdir), test=True,
export_extra=['foobar'])
geocode(scene, str(tmpdir), test=True,
export_extra=['localIncidenceAngle'])
def test_externalDEM(self, tmpdir, testdata):
scene = testdata['s1']
dem_dummy = testdata['tif']
with pytest.raises(RuntimeError):
geocode(scene, str(tmpdir), externalDEMFile='foobar', test=True)
geocode(scene, str(tmpdir), externalDEMFile=dem_dummy, test=True)
def test_speckleFilter(self, tmpdir, testdata):
scene = testdata['s1']
with pytest.raises(ValueError):
geocode(scene, str(tmpdir), speckleFilter='foobar', test=True)
geocode(scene, str(tmpdir), speckleFilter='Refined Lee', test=True)
def test_refarea(self, tmpdir, testdata):
scene = testdata['s1']
with pytest.raises(ValueError):
geocode(scene, str(tmpdir), terrainFlattening=False, refarea='foobar', test=True)
geocode(scene, str(tmpdir), terrainFlattening=True, refarea='gamma0', test=True)
def test_sliceassembly(self, tmpdir, testdata):
scene1 = testdata['s1']
scene2 = testdata['s1_2']
wf = geocode([scene1, scene2], str(tmpdir), test=True, returnWF=True)
for n in range(1, 4):
groups = groupbyWorkers(wf, n=n)
split(wf, groups)
|
|
14,081
|
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] | 9
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|
def test_shp(self, tmpdir, testdata):
scene = testdata['s1']
ext = {'xmin': 12, 'xmax': 13, 'ymin': 53, 'ymax': 54}
with bbox(ext, 4326) as new:
with pytest.raises(RuntimeError):
geocode(scene, str(tmpdir), shapefile=new, test=True)
with identify(scene).bbox() as box:
ext = box.extent
ext['xmax'] -= 1
with bbox(ext, 4326) as new:
geocode(scene, str(tmpdir), shapefile=new, test=True)
|
|
14,082
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] | 11
|
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"type_ignores": []}}
|
def test_basic(self):
Foo = self.classes.Foo
s1 = self._fixture()
f1 = Foo(value='f1')
f2 = Foo(value='f2')
s1.add_all((f1, f2))
s1.commit()
f1.value = 'f1rev2'
s1.commit()
s2 = create_session(autocommit=False)
f1_s = s2.query(Foo).get(f1.id)
f1_s.value = 'f1rev3'
s2.commit()
f1.value = 'f1rev3mine'
# Only dialects with a sane rowcount can detect the
# StaleDataError
if testing.db.dialect.supports_sane_rowcount:
assert_raises_message(
sa.orm.exc.StaleDataError,
r"UPDATE statement on table 'version_table' expected "
r"to update 1 row\(s\); 0 were matched.", s1.commit),
s1.rollback()
else:
s1.commit()
# new in 0.5 ! don't need to close the session
f1 = s1.query(Foo).get(f1.id)
f2 = s1.query(Foo).get(f2.id)
f1_s.value = 'f1rev4'
s2.commit()
s1.delete(f1)
s1.delete(f2)
if testing.db.dialect.supports_sane_rowcount:
assert_raises_message(
sa.orm.exc.StaleDataError,
r"DELETE statement on table 'version_table' expected "
r"to delete 2 row\(s\); 1 were matched.",
s1.commit)
else:
s1.commit()
|
|
14,083
|
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] | 9
|
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Foo", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "classes", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "Foo", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "supports_sane_rowcount", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "dialect", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "db", "value": {"_type": "Name", "_fields": {"id": "testing", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "save", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": false}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "supports_sane_rowcount", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "dialect", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "db", "value": {"_type": "Name", "_fields": {"id": "testing", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}], "type_comment": null}}, {"_type": "Try", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_fixture", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "s1", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "Foo", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "value", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "f1"}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "f1", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "Foo", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "value", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "f2"}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "f2", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "f1", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "f2", "ctx": {"_type": "Load", "_fields": {}}}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "add_all", "value": {"_type": "Name", "_fields": {"id": "s1", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "commit", "value": {"_type": "Name", "_fields": {"id": "s1", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "f1rev2"}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "value", "value": {"_type": "Name", "_fields": {"id": "f1", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "SAWarning", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "exc", "value": {"_type": "Name", "_fields": {"id": "sa", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "commit", "value": {"_type": "Name", "_fields": {"id": "s1", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "assert_raises", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "orelse": [], "handlers": [], "finalbody": [{"_type": "Assign", "_fields": {"value": {"_type": "Name", "_fields": {"id": "save", "ctx": {"_type": "Load", "_fields": {}}}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "supports_sane_rowcount", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "dialect", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "db", "value": {"_type": "Name", "_fields": {"id": "testing", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}], "type_comment": null}}]}}], "name": "test_notsane_warning", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_notsane_warning(self):
Foo = self.classes.Foo
save = testing.db.dialect.supports_sane_rowcount
testing.db.dialect.supports_sane_rowcount = False
try:
s1 = self._fixture()
f1 = Foo(value='f1')
f2 = Foo(value='f2')
s1.add_all((f1, f2))
s1.commit()
f1.value = 'f1rev2'
assert_raises(sa.exc.SAWarning, s1.commit)
finally:
testing.db.dialect.supports_sane_rowcount = save
|
|
14,084
|
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] | 10
|
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "If", "_fields": {"body": [{"_type": "Return", "_fields": {"value": {"_type": "UnaryOp", "_fields": {"op": {"_type": "USub", "_fields": {}}, "operand": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Gt", "_fields": {}}], "left": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "compiled_parameters", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "context", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Name", "_fields": {"id": "len", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": 1}}]}}, "orelse": [{"_type": "Return", "_fields": {"value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "rowcount", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "context", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}]}}], "name": "rowcount", "returns": null, "type_params": [], "type_comment": null, "decorator_list": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "memoized_property", "value": {"_type": "Name", "_fields": {"id": "util", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, {"_type": "With", "_fields": {"body": [{"_type": "With", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Foo", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "classes", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "Foo", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_fixture", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "s1", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "Foo", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "value", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "f1 value"}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "f1s1", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "f1s1", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "add", "value": {"_type": "Name", "_fields": {"id": "s1", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "commit", "value": {"_type": "Name", "_fields": {"id": "s1", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "f2 value"}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "value", "value": {"_type": "Name", "_fields": {"id": "f1s1", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "flush", "value": {"_type": "Name", "_fields": {"id": "s1", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "version_id", "value": {"_type": "Name", "_fields": {"id": "f1s1", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": 2}}], "func": {"_type": "Name", "_fields": {"id": "eq_", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "sqlalchemy.engine.result.ResultProxy.rowcount"}}, {"_type": "Name", "_fields": {"id": "rowcount", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "patch", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "optional_vars": null}}], "type_comment": null}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "dialect", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "db", "value": {"_type": "Name", "_fields": {"id": "config", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "supports_sane_multi_rowcount"}}, {"_type": "Constant", "_fields": {"kind": null, "value": false}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "object", "value": {"_type": "Name", "_fields": {"id": "patch", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "optional_vars": null}}], "type_comment": null}}], "name": "test_update_multi_missing_broken_multi_rowcount", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_update_multi_missing_broken_multi_rowcount(self):
@util.memoized_property
def rowcount(self):
if len(self.context.compiled_parameters) > 1:
return -1
else:
return self.context.rowcount
with patch.object(
config.db.dialect, "supports_sane_multi_rowcount", False):
with patch(
"sqlalchemy.engine.result.ResultProxy.rowcount",
rowcount):
Foo = self.classes.Foo
s1 = self._fixture()
f1s1 = Foo(value='f1 value')
s1.add(f1s1)
s1.commit()
f1s1.value = 'f2 value'
s1.flush()
eq_(f1s1.version_id, 2)
|
|
14,085
|
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"Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "f3", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Is", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "f3", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Name", "_fields": {"id": "f1", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "commit", "value": {"_type": "Name", "_fields": {"id": "s1", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "version_id", "value": {"_type": "Name", "_fields": {"id": "f3", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": 3}}], "func": {"_type": "Name", "_fields": {"id": "eq_", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "test_merge_no_version", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_merge_no_version(self):
Foo = self.classes.Foo
s1 = self._fixture()
f1 = Foo(value='f1')
s1.add(f1)
s1.commit()
f1.value = 'f2'
s1.commit()
f2 = Foo(id=f1.id, value='f3')
f3 = s1.merge(f2)
assert f3 is f1
s1.commit()
eq_(f3.version_id, 3)
|
|
14,086
|
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] | 8
|
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Foo", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "classes", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "Foo", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_fixture", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "s1", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "Foo", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "value", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "f1"}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "f1", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "f1", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "add", "value": {"_type": "Name", "_fields": {"id": "s1", "ctx": {"_type": "Load", 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"_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "Foo", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "id", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "id", "value": {"_type": "Name", "_fields": {"id": "f1", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "keyword", "_fields": {"arg": "value", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "f3"}}}}, {"_type": "keyword", "_fields": {"arg": "version_id", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 2}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "f2", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "f2", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "merge", "value": {"_type": "Name", "_fields": {"id": "s1", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "f3", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Is", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "f3", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Name", "_fields": {"id": "f1", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "commit", "value": {"_type": "Name", "_fields": {"id": "s1", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "version_id", "value": {"_type": "Name", "_fields": {"id": "f3", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": 3}}], "func": {"_type": "Name", "_fields": {"id": "eq_", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "test_merge_correct_version", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_merge_correct_version(self):
Foo = self.classes.Foo
s1 = self._fixture()
f1 = Foo(value='f1')
s1.add(f1)
s1.commit()
f1.value = 'f2'
s1.commit()
f2 = Foo(id=f1.id, value='f3', version_id=2)
f3 = s1.merge(f2)
assert f3 is f1
s1.commit()
eq_(f3.version_id, 3)
|
|
14,087
|
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] | 8
|
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Foo", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "classes", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "Foo", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_fixture", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "s1", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "Foo", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "value", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "f1"}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "f1", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "f1", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "add", "value": {"_type": "Name", "_fields": {"id": "s1", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "commit", "value": {"_type": "Name", "_fields": {"id": "s1", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "f2"}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "value", "value": {"_type": "Name", "_fields": {"id": "f1", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "commit", "value": {"_type": "Name", "_fields": {"id": "s1", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "Foo", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "id", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "id", "value": {"_type": "Name", "_fields": {"id": "f1", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "keyword", "_fields": {"arg": "value", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "f3"}}}}, {"_type": "keyword", "_fields": {"arg": "version_id", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "f2", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "StaleDataError", "value": {"_type": "Name", "_fields": {"id": "orm_exc", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "Version id '1' on merged state <Foo at .*?> does not match existing version '2'. Leave the version attribute unset when merging to update the most recent version."}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "merge", "value": {"_type": "Name", "_fields": {"id": "s1", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Name", "_fields": {"id": "f2", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "assert_raises_message", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "test_merge_incorrect_version", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_merge_incorrect_version(self):
Foo = self.classes.Foo
s1 = self._fixture()
f1 = Foo(value='f1')
s1.add(f1)
s1.commit()
f1.value = 'f2'
s1.commit()
f2 = Foo(id=f1.id, value='f3', version_id=1)
assert_raises_message(
orm_exc.StaleDataError,
"Version id '1' on merged state "
"<Foo at .*?> does not match existing version '2'. "
"Leave the version attribute unset when "
"merging to update the most recent version.",
s1.merge, f2
)
|
|
14,088
|
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] | 8
|
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Foo", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "classes", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "Foo", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_fixture", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "s1", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "Foo", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "value", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "f1"}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "f1", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "f1", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "add", "value": {"_type": "Name", "_fields": {"id": "s1", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "commit", "value": {"_type": "Name", "_fields": {"id": "s1", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "f2"}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "value", "value": {"_type": "Name", "_fields": {"id": "f1", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "commit", "value": {"_type": "Name", "_fields": {"id": "s1", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "Foo", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "id", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "id", "value": {"_type": "Name", "_fields": {"id": "f1", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "keyword", "_fields": {"arg": "value", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "f3"}}}}, {"_type": "keyword", "_fields": {"arg": "version_id", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "f2", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "close", "value": {"_type": "Name", "_fields": {"id": "s1", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "StaleDataError", "value": {"_type": "Name", "_fields": {"id": "orm_exc", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "Version id '1' on merged state <Foo at .*?> does not match existing version '2'. Leave the version attribute unset when merging to update the most recent version."}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "merge", "value": {"_type": "Name", "_fields": {"id": "s1", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Name", "_fields": {"id": "f2", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "assert_raises_message", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "test_merge_incorrect_version_not_in_session", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_merge_incorrect_version_not_in_session(self):
Foo = self.classes.Foo
s1 = self._fixture()
f1 = Foo(value='f1')
s1.add(f1)
s1.commit()
f1.value = 'f2'
s1.commit()
f2 = Foo(id=f1.id, value='f3', version_id=1)
s1.close()
assert_raises_message(
orm_exc.StaleDataError,
"Version id '1' on merged state "
"<Foo at .*?> does not match existing version '2'. "
"Leave the version attribute unset when "
"merging to update the most recent version.",
s1.merge, f2
)
|
|
14,089
|
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{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "A"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "B"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "classes", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "A", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "B", "ctx": {"_type": "Store", "_fields": {}}}}]}}], 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"Name", "_fields": {"id": "mapper", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": false}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_run_test", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_no_counter", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "NoBumpOnRelationshipTest", "bases": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "MappedTest", "value": {"_type": "Name", "_fields": {"id": "fixtures", "ctx": {"_type": "Load", "_fields": {}}}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
|
class NoBumpOnRelationshipTest(fixtures.MappedTest):
__backend__ = True
@classmethod
def define_tables(cls, metadata):
Table(
'a', metadata,
Column(
'id', Integer, primary_key=True,
test_needs_autoincrement=True),
Column('version_id', Integer)
)
Table(
'b', metadata,
Column(
'id', Integer, primary_key=True,
test_needs_autoincrement=True),
Column('a_id', ForeignKey('a.id'))
)
@classmethod
def setup_classes(cls):
class A(cls.Basic):
pass
class B(cls.Basic):
pass
def _run_test(self, auto_version_counter=True):
A, B = self.classes('A', 'B')
s = Session()
if auto_version_counter:
a1 = A()
else:
a1 = A(version_id=1)
s.add(a1)
s.commit()
eq_(a1.version_id, 1)
b1 = B()
b1.a = a1
s.add(b1)
s.commit()
eq_(a1.version_id, 1)
def test_plain_counter(self):
A, B = self.classes('A', 'B')
a, b = self.tables('a', 'b')
mapper(
A, a, properties={
'bs': relationship(B, backref='a')
},
version_id_col=a.c.version_id,
)
mapper(B, b)
self._run_test()
def test_functional_counter(self):
A, B = self.classes('A', 'B')
a, b = self.tables('a', 'b')
mapper(
A, a, properties={
'bs': relationship(B, backref='a')
},
version_id_col=a.c.version_id,
version_id_generator=lambda num: (num or 0) + 1
)
mapper(B, b)
self._run_test()
def test_no_counter(self):
A, B = self.classes('A', 'B')
a, b = self.tables('a', 'b')
mapper(
A, a, properties={
'bs': relationship(B, backref='a')
},
version_id_col=a.c.version_id,
version_id_generator=False
)
mapper(B, b)
self._run_test(False)
|
|
14,090
|
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] | 7
|
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "auto_version_counter", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [{"_type": "Constant", "_fields": {"kind": null, "value": true}}], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "A"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "B"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "classes", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "A", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "B", "ctx": {"_type": "Store", "_fields": {}}}}]}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "Session", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "A", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "a1", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "Name", "_fields": {"id": "auto_version_counter", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "A", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "version_id", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "a1", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}]}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "a1", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "add", "value": {"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "commit", "value": {"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "version_id", "value": {"_type": "Name", "_fields": {"id": "a1", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": 1}}], "func": {"_type": "Name", "_fields": {"id": "eq_", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "B", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "b1", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Name", "_fields": {"id": "a1", "ctx": {"_type": "Load", "_fields": {}}}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "a", "value": {"_type": "Name", "_fields": {"id": "b1", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "b1", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "add", "value": {"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "commit", "value": {"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "version_id", "value": {"_type": "Name", "_fields": {"id": "a1", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": 1}}], "func": {"_type": "Name", "_fields": {"id": "eq_", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "_run_test", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def _run_test(self, auto_version_counter=True):
A, B = self.classes('A', 'B')
s = Session()
if auto_version_counter:
a1 = A()
else:
a1 = A(version_id=1)
s.add(a1)
s.commit()
eq_(a1.version_id, 1)
b1 = B()
b1.a = a1
s.add(b1)
s.commit()
eq_(a1.version_id, 1)
|
|
14,091
|
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] | 8
|
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "cls", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "metadata", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "a"}}, {"_type": "Name", "_fields": {"id": "metadata", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "id"}}, {"_type": "Name", "_fields": {"id": "Integer", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "Column", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "primary_key", "value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}, {"_type": "keyword", "_fields": {"arg": "test_needs_autoincrement", "value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}]}}, {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "version_id"}}, {"_type": "Name", "_fields": {"id": "Integer", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "Column", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "Table", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "b"}}, {"_type": "Name", "_fields": {"id": "metadata", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "id"}}, {"_type": "Name", "_fields": {"id": "Integer", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "Column", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "primary_key", "value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}, {"_type": "keyword", "_fields": {"arg": "test_needs_autoincrement", "value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}]}}, {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "a_id"}}, {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "a.id"}}], "func": {"_type": "Name", "_fields": {"id": "ForeignKey", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "Column", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "Table", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "define_tables", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def define_tables(cls, metadata):
Table(
'a', metadata,
Column(
'id', Integer, primary_key=True,
test_needs_autoincrement=True),
Column('version_id', Integer)
)
Table(
'b', metadata,
Column(
'id', Integer, primary_key=True,
test_needs_autoincrement=True),
Column('a_id', ForeignKey('a.id'))
)
|
|
14,092
|
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] | 10
|
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "A"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "B"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "classes", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "A", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "B", "ctx": {"_type": "Store", "_fields": {}}}}]}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "a"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "b"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "tables", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "a", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "b", "ctx": {"_type": "Store", "_fields": {}}}}]}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "A", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "a", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "mapper", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "properties", "value": {"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "bs"}}], "values": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "B", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "relationship", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "backref", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "a"}}}}]}}]}}}}, {"_type": "keyword", "_fields": {"arg": "version_id_col", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "version_id", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "c", "value": {"_type": "Name", "_fields": {"id": "a", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, {"_type": "keyword", "_fields": {"arg": "version_id_generator", "value": {"_type": "Lambda", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "num", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "BoolOp", "_fields": {"op": {"_type": "Or", "_fields": {}}, "values": [{"_type": "Name", "_fields": {"id": "num", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": 0}}]}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}}}}}]}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "B", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "b", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "mapper", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_run_test", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_functional_counter", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_functional_counter(self):
A, B = self.classes('A', 'B')
a, b = self.tables('a', 'b')
mapper(
A, a, properties={
'bs': relationship(B, backref='a')
},
version_id_col=a.c.version_id,
version_id_generator=lambda num: (num or 0) + 1
)
mapper(B, b)
self._run_test()
|
|
14,093
|
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] | 9
|
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "A"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "B"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "classes", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "A", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "B", "ctx": {"_type": "Store", "_fields": {}}}}]}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "a"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "b"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "tables", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "a", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "b", "ctx": {"_type": "Store", "_fields": {}}}}]}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "A", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "a", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "mapper", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "properties", "value": {"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "bs"}}], "values": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "B", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "relationship", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "backref", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "a"}}}}]}}]}}}}, {"_type": "keyword", "_fields": {"arg": "version_id_col", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "version_id", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "c", "value": {"_type": "Name", "_fields": {"id": "a", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}]}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "B", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "b", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "mapper", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_run_test", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_plain_counter", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_plain_counter(self):
A, B = self.classes('A', 'B')
a, b = self.tables('a', 'b')
mapper(
A, a, properties={
'bs': relationship(B, backref='a')
},
version_id_col=a.c.version_id,
)
mapper(B, b)
self._run_test()
|
|
14,094
|
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{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "f1", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "add", "value": {"_type": "Name", "_fields": {"id": "s1", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "commit", "value": {"_type": "Name", "_fields": {"id": "s1", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "f1rev2"}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "value", "value": {"_type": "Name", "_fields": {"id": "f1", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "commit", "value": {"_type": "Name", "_fields": {"id": "s1", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_update", "returns": null, "type_params": [], "type_comment": null, "decorator_list": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "close_open_connections", "value": {"_type": "Name", "_fields": {"id": "engines", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}], "name": "ColumnTypeTest", "bases": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "MappedTest", "value": {"_type": "Name", "_fields": {"id": "fixtures", "ctx": {"_type": "Load", "_fields": {}}}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
|
class ColumnTypeTest(fixtures.MappedTest):
__backend__ = True
@classmethod
def define_tables(cls, metadata):
class SpecialType(TypeDecorator):
impl = Date
def process_bind_param(self, value, dialect):
assert isinstance(value, datetime.date)
return value
Table('version_table', metadata,
Column('id', SpecialType, primary_key=True),
Column('version_id', Integer, nullable=False),
Column('value', String(40), nullable=False))
@classmethod
def setup_classes(cls):
class Foo(cls.Basic):
pass
def _fixture(self):
Foo, version_table = self.classes.Foo, self.tables.version_table
mapper(Foo, version_table, version_id_col=version_table.c.version_id)
s1 = Session()
return s1
@engines.close_open_connections
def test_update(self):
Foo = self.classes.Foo
s1 = self._fixture()
f1 = Foo(id=datetime.date.today(), value='f1')
s1.add(f1)
s1.commit()
f1.value = 'f1rev2'
s1.commit()
|
|
14,095
|
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] | 9
|
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "A"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "B"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "classes", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "A", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "B", "ctx": {"_type": "Store", "_fields": {}}}}]}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "a"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "b"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "tables", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "a", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "b", "ctx": {"_type": "Store", "_fields": {}}}}]}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "A", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "a", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "mapper", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "properties", "value": {"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "bs"}}], "values": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "B", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "relationship", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "backref", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "a"}}}}]}}]}}}}, {"_type": "keyword", "_fields": {"arg": "version_id_col", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "version_id", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "c", "value": {"_type": "Name", "_fields": {"id": "a", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, {"_type": "keyword", "_fields": {"arg": "version_id_generator", "value": {"_type": "Constant", "_fields": {"kind": null, "value": false}}}}]}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "B", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "b", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "mapper", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": false}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_run_test", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_no_counter", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_no_counter(self):
A, B = self.classes('A', 'B')
a, b = self.tables('a', 'b')
mapper(
A, a, properties={
'bs': relationship(B, backref='a')
},
version_id_col=a.c.version_id,
version_id_generator=False
)
mapper(B, b)
self._run_test(False)
|
|
14,096
|
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] | 9
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{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "cls", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "metadata", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Name", "_fields": {"id": "Date", "ctx": {"_type": "Load", "_fields": {}}}}, "targets": [{"_type": "Name", "_fields": {"id": "impl", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "value", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "dialect", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "value", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "date", "value": {"_type": "Name", "_fields": {"id": "datetime", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "isinstance", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "value", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "process_bind_param", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "SpecialType", "bases": [{"_type": "Name", "_fields": {"id": "TypeDecorator", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "version_table"}}, {"_type": "Name", "_fields": {"id": "metadata", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "id"}}, {"_type": "Name", "_fields": {"id": "SpecialType", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "Column", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "primary_key", "value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}]}}, {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "version_id"}}, {"_type": "Name", "_fields": {"id": "Integer", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "Column", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "nullable", "value": {"_type": "Constant", "_fields": {"kind": null, "value": false}}}}]}}, {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "value"}}, {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 40}}], "func": {"_type": "Name", "_fields": {"id": "String", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "Column", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "nullable", "value": {"_type": "Constant", "_fields": {"kind": null, "value": false}}}}]}}], "func": {"_type": "Name", "_fields": {"id": "Table", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "define_tables", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def define_tables(cls, metadata):
class SpecialType(TypeDecorator):
impl = Date
def process_bind_param(self, value, dialect):
assert isinstance(value, datetime.date)
return value
Table('version_table', metadata,
Column('id', SpecialType, primary_key=True),
Column('version_id', Integer, nullable=False),
Column('value', String(40), nullable=False))
|
|
14,097
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] | 10
|
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Foo", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "classes", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "Foo", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_fixture", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "s1", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "Foo", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "id", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "today", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "date", "value": {"_type": "Name", "_fields": {"id": "datetime", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, {"_type": "keyword", "_fields": {"arg": "value", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "f1"}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "f1", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "f1", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "add", "value": {"_type": "Name", "_fields": {"id": "s1", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "commit", "value": {"_type": "Name", "_fields": {"id": "s1", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "f1rev2"}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "value", "value": {"_type": "Name", "_fields": {"id": "f1", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "commit", "value": {"_type": "Name", "_fields": {"id": "s1", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_update", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_update(self):
Foo = self.classes.Foo
s1 = self._fixture()
f1 = Foo(id=datetime.date.today(), value='f1')
s1.add(f1)
s1.commit()
f1.value = 'f1rev2'
s1.commit()
|
|
14,098
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"_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 10}}], "func": {"_type": "Name", "_fields": {"id": "String", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "p.id"}}], "func": {"_type": "Name", "_fields": {"id": "ForeignKey", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "Column", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "primary_key", "value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}]}}, {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "version_id"}}, {"_type": "Name", "_fields": {"id": "Integer", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "Column", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "default", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}, {"_type": "keyword", "_fields": {"arg": "nullable", "value": {"_type": "Constant", "_fields": {"kind": null, "value": false}}}}]}}, {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "data"}}, {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 50}}], "func": {"_type": "Name", "_fields": {"id": "String", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "Column", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "Table", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "define_tables", "returns": null, "type_params": [], "type_comment": null, "decorator_list": [{"_type": "Name", "_fields": {"id": "classmethod", "ctx": {"_type": "Load", "_fields": {}}}}]}}, {"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "cls", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Pass", "_fields": {}}], "name": "P", "bases": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Basic", "value": {"_type": "Name", "_fields": {"id": "cls", "ctx": {"_type": "Load", "_fields": {}}}}}}], "keywords": [], "type_params": [], "decorator_list": []}}, {"_type": "ClassDef", "_fields": {"body": [{"_type": "Pass", "_fields": {}}], "name": "C", "bases": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Basic", "value": {"_type": "Name", "_fields": {"id": "cls", "ctx": {"_type": "Load", "_fields": {}}}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "name": "setup_classes", "returns": null, "type_params": [], "type_comment": null, "decorator_list": [{"_type": "Name", "_fields": {"id": "classmethod", "ctx": {"_type": "Load", "_fields": {}}}}]}}, {"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "cls", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "p", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "tables", "value": {"_type": "Name", "_fields": {"id": "cls", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "c", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "tables", "value": {"_type": "Name", "_fields": {"id": "cls", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "C", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "classes", "value": {"_type": "Name", "_fields": {"id": "cls", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "P", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "classes", "value": {"_type": "Name", "_fields": {"id": "cls", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}, "targets": [{"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "p", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "c", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "C", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "P", "ctx": {"_type": "Store", "_fields": {}}}}]}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "P", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "p", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "mapper", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "version_id_col", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "version_id", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "c", "value": {"_type": "Name", "_fields": {"id": "p", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, {"_type": "keyword", 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"_fields": {}}, "attr": "P", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "classes", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "P", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "sessionmaker", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "session", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "P", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "id", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "P1"}}}}, {"_type": "keyword", "_fields": {"arg": "data", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "P version 1"}}}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "add", "value": {"_type": "Name", "_fields": {"id": "session", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "commit", "value": {"_type": "Name", "_fields": {"id": "session", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "close", "value": {"_type": "Name", "_fields": {"id": "session", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "first", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "P", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "query", "value": {"_type": "Name", "_fields": {"id": "session", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "p", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "p", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "delete", "value": {"_type": "Name", "_fields": {"id": "session", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "P", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "id", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "P1"}}}}, {"_type": "keyword", "_fields": {"arg": "data", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "really a row-switch"}}}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "add", "value": {"_type": "Name", "_fields": {"id": "session", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "commit", "value": {"_type": "Name", "_fields": {"id": "session", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_row_switch", "returns": null, "type_params": [], "type_comment": null, "decorator_list": [{"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "+zxjdbc"}}, {"_type": "Constant", "_fields": {"kind": null, "value": ".*does not support updated rowcount"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "emits_warning_on", "value": {"_type": "Name", "_fields": {"id": "testing", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}]}}, {"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": 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null}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "use_get", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "strategy", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "property", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "c", "value": {"_type": "Name", "_fields": {"id": "P", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "sessionmaker", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "session", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "P", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "id", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "P1"}}}}, {"_type": "keyword", "_fields": {"arg": "data", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "P version 1"}}}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "add", "value": {"_type": "Name", "_fields": {"id": "session", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "commit", "value": {"_type": "Name", "_fields": {"id": "session", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "close", "value": {"_type": "Name", "_fields": {"id": "session", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "first", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "P", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "query", "value": {"_type": "Name", "_fields": {"id": "session", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "p", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "C", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "data", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "child version 1"}}}}]}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "c", "value": {"_type": "Name", "_fields": {"id": "p", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "commit", "value": {"_type": "Name", "_fields": {"id": "session", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "first", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "P", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "query", "value": {"_type": "Name", "_fields": {"id": "session", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "p", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "C", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "data", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "child row-switch"}}}}]}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "c", "value": {"_type": "Name", "_fields": {"id": "p", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "commit", "value": {"_type": "Name", "_fields": {"id": "session", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_child_row_switch", "returns": null, "type_params": [], "type_comment": null, "decorator_list": [{"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "+zxjdbc"}}, {"_type": "Constant", "_fields": {"kind": null, "value": ".*does not support updated rowcount"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "emits_warning_on", "value": {"_type": "Name", "_fields": {"id": "testing", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}]}}], "name": "RowSwitchTest", "bases": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "MappedTest", "value": {"_type": "Name", "_fields": {"id": "fixtures", "ctx": {"_type": "Load", "_fields": {}}}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
|
class RowSwitchTest(fixtures.MappedTest):
__backend__ = True
@classmethod
def define_tables(cls, metadata):
Table(
'p', metadata,
Column('id', String(10), primary_key=True),
Column('version_id', Integer, default=1, nullable=False),
Column('data', String(50))
)
Table(
'c', metadata,
Column('id', String(10), ForeignKey('p.id'), primary_key=True),
Column('version_id', Integer, default=1, nullable=False),
Column('data', String(50))
)
@classmethod
def setup_classes(cls):
class P(cls.Basic):
pass
class C(cls.Basic):
pass
@classmethod
def setup_mappers(cls):
p, c, C, P = cls.tables.p, cls.tables.c, cls.classes.C, cls.classes.P
mapper(
P, p, version_id_col=p.c.version_id, properties={
'c': relationship(
C, uselist=False, cascade='all, delete-orphan')})
mapper(C, c, version_id_col=c.c.version_id)
@testing.emits_warning_on(
'+zxjdbc', r'.*does not support updated rowcount')
def test_row_switch(self):
P = self.classes.P
session = sessionmaker()()
session.add(P(id='P1', data='P version 1'))
session.commit()
session.close()
p = session.query(P).first()
session.delete(p)
session.add(P(id='P1', data="really a row-switch"))
session.commit()
@testing.emits_warning_on(
'+zxjdbc', r'.*does not support updated rowcount')
def test_child_row_switch(self):
P, C = self.classes.P, self.classes.C
assert P.c.property.strategy.use_get
session = sessionmaker()()
session.add(P(id='P1', data='P version 1'))
session.commit()
session.close()
p = session.query(P).first()
p.c = C(data='child version 1')
session.commit()
p = session.query(P).first()
p.c = C(data='child row-switch')
session.commit()
|
|
14,099
|
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] | 8
|
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "cls", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "metadata", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "p"}}, {"_type": "Name", "_fields": {"id": "metadata", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "id"}}, {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 10}}], "func": {"_type": "Name", "_fields": {"id": "String", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "Column", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "primary_key", "value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}]}}, {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "version_id"}}, {"_type": "Name", "_fields": {"id": "Integer", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "Column", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "default", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}, {"_type": "keyword", "_fields": {"arg": "nullable", "value": {"_type": "Constant", "_fields": {"kind": null, "value": false}}}}]}}, {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "data"}}, {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 50}}], "func": {"_type": "Name", "_fields": {"id": "String", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "Column", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "Table", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "c"}}, {"_type": "Name", "_fields": {"id": "metadata", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "id"}}, {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 10}}], "func": {"_type": "Name", "_fields": {"id": "String", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "p.id"}}], "func": {"_type": "Name", "_fields": {"id": "ForeignKey", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "Column", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "primary_key", "value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}]}}, {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "version_id"}}, {"_type": "Name", "_fields": {"id": "Integer", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "Column", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "default", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}, {"_type": "keyword", "_fields": {"arg": "nullable", "value": {"_type": "Constant", "_fields": {"kind": null, "value": false}}}}]}}, {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "data"}}, {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 50}}], "func": {"_type": "Name", "_fields": {"id": "String", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "Column", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "Table", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "define_tables", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def define_tables(cls, metadata):
Table(
'p', metadata,
Column('id', String(10), primary_key=True),
Column('version_id', Integer, default=1, nullable=False),
Column('data', String(50))
)
Table(
'c', metadata,
Column('id', String(10), ForeignKey('p.id'), primary_key=True),
Column('version_id', Integer, default=1, nullable=False),
Column('data', String(50))
)
|
|
14,100
|
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def test_row_switch(self):
P = self.classes.P
session = sessionmaker()()
session.add(P(id='P1', data='P version 1'))
session.commit()
session.close()
p = session.query(P).first()
session.delete(p)
session.add(P(id='P1', data="really a row-switch"))
session.commit()
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