class ValidationsStore(Store):
_key_class = ValidationResultIdentifier
def __init__(self, store_backend=None, runtime_environment=None):
self._expectationSuiteValidationResultSchema = ExpectationSuiteValidationResultSchema(
strict=True)
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")
store_backend_class = load_class(store_backend_class_name,
store_backend_module_name)
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_id", "batch_identifier"])
super(ValidationsStore,
self).__init__(store_backend=store_backend,
runtime_environment=runtime_environment)
def serialize(self, key, value):
return self._expectationSuiteValidationResultSchema.dumps(value).data
def deserialize(self, key, value):
return self._expectationSuiteValidationResultSchema.loads(value).data
def __init__(self, store_backend=None, runtime_environment=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, package_name=None)
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_id", "batch_identifier"])
super().__init__(store_backend=store_backend,
runtime_environment=runtime_environment)
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
from dateutil.parser import parse
from great_expectations.core import (
ExpectationSuiteValidationResultSchema,
ExpectationValidationResultSchema,
)
from great_expectations.dataset import (
PandasDataset,
SparkDFDataset,
SqlAlchemyDataset,
)
from great_expectations.profile import ColumnsExistProfiler
expectationValidationResultSchema = ExpectationValidationResultSchema(
strict=True)
expectationSuiteValidationResultSchema = ExpectationSuiteValidationResultSchema(
strict=True)
try:
import sqlalchemy.dialects.sqlite as sqlitetypes
SQLITE_TYPES = {
"VARCHAR": sqlitetypes.VARCHAR,
"CHAR": sqlitetypes.CHAR,
"INTEGER": sqlitetypes.INTEGER,
"SMALLINT": sqlitetypes.SMALLINT,
"DATETIME": sqlitetypes.DATETIME(truncate_microseconds=True),
"DATE": sqlitetypes.DATE,
"FLOAT": sqlitetypes.FLOAT,
"BOOLEAN": sqlitetypes.BOOLEAN,
"TIMESTAMP": sqlitetypes.TIMESTAMP
}
except ImportError:
import numpy as np
import pandas as pd
import pytest
from dateutil.parser import parse
from great_expectations.core import (
ExpectationSuiteValidationResultSchema,
ExpectationValidationResultSchema,
)
from great_expectations.dataset import PandasDataset, SparkDFDataset, SqlAlchemyDataset
from great_expectations.dataset.util import (
get_sql_dialect_floating_point_infinity_value, )
from great_expectations.profile import ColumnsExistProfiler
expectationValidationResultSchema = ExpectationValidationResultSchema()
expectationSuiteValidationResultSchema = ExpectationSuiteValidationResultSchema(
)
try:
from sqlalchemy import create_engine
except ImportError:
create_engine = None
try:
import sqlalchemy.dialects.sqlite as sqlitetypes
SQLITE_TYPES = {
"VARCHAR": sqlitetypes.VARCHAR,
"CHAR": sqlitetypes.CHAR,
"INTEGER": sqlitetypes.INTEGER,
"SMALLINT": sqlitetypes.SMALLINT,
"DATETIME": sqlitetypes.DATETIME(truncate_microseconds=True),
