def __init__(self,
store_backend=None,
runtime_environment=None,
store_name=None) -> None:
self._expectationSuiteValidationResultSchema = (
ExpectationSuiteValidationResultSchema())
if store_backend is not None:
store_backend_module_name = store_backend.get(
"module_name", "great_expectations.data_context.store")
store_backend_class_name = store_backend.get(
"class_name", "InMemoryStoreBackend")
verify_dynamic_loading_support(
module_name=store_backend_module_name)
store_backend_class = load_class(store_backend_class_name,
store_backend_module_name)
# Store Backend Class was loaded successfully; verify that it is of a correct subclass.
if issubclass(store_backend_class, TupleStoreBackend):
# Provide defaults for this common case
store_backend["filepath_suffix"] = store_backend.get(
"filepath_suffix", ".json")
elif issubclass(store_backend_class, DatabaseStoreBackend):
# Provide defaults for this common case
store_backend["table_name"] = store_backend.get(
"table_name", "ge_validations_store")
store_backend["key_columns"] = store_backend.get(
"key_columns",
[
"expectation_suite_name",
"run_name",
"run_time",
"batch_identifier",
],
)
super().__init__(
store_backend=store_backend,
runtime_environment=runtime_environment,
store_name=store_name,
)
# Gather the call arguments of the present function (include the "module_name" and add the "class_name"), filter
# out the Falsy values, and set the instance "_config" variable equal to the resulting dictionary.
self._config = {
"store_backend": store_backend,
"runtime_environment": runtime_environment,
"store_name": store_name,
"module_name": self.__class__.__module__,
"class_name": self.__class__.__name__,
}
filter_properties_dict(properties=self._config,
clean_falsy=True,
inplace=True)
def validation_operator_result():
fixture_filename = os.path.join(
os.path.dirname(__file__),
"fixtures/ValidationOperatorResult_with_multiple_validation_results.json",
)
with open(fixture_filename) as infile:
validation_operator_result = json.load(infile,
object_pairs_hook=OrderedDict)
run_results = validation_operator_result["run_results"]
for k, validation_result in run_results.items():
validation_result[
"validation_result"] = ExpectationSuiteValidationResultSchema(
).load(validation_result["validation_result"])
return validation_operator_result
def __init__(self, store_backend=None, runtime_environment=None, store_name=None):
self._expectationSuiteValidationResultSchema = (
ExpectationSuiteValidationResultSchema()
)
if store_backend is not None:
store_backend_module_name = store_backend.get(
"module_name", "great_expectations.data_context.store"
)
store_backend_class_name = store_backend.get(
"class_name", "InMemoryStoreBackend"
)
verify_dynamic_loading_support(module_name=store_backend_module_name)
store_backend_class = load_class(
store_backend_class_name, store_backend_module_name
)
# Store Backend Class was loaded successfully; verify that it is of a correct subclass.
if issubclass(store_backend_class, TupleStoreBackend):
# Provide defaults for this common case
store_backend["filepath_suffix"] = store_backend.get(
"filepath_suffix", ".json"
)
elif issubclass(store_backend_class, DatabaseStoreBackend):
# Provide defaults for this common case
store_backend["table_name"] = store_backend.get(
"table_name", "ge_validations_store"
)
store_backend["key_columns"] = store_backend.get(
"key_columns",
[
"expectation_suite_name",
"run_name",
"run_time",
"batch_identifier",
],
)
super().__init__(
store_backend=store_backend,
runtime_environment=runtime_environment,
store_name=store_name,
)