def titanic_profiler_evrs_with_exception():
with open(
file_relative_path(
__file__,
"./fixtures/BasicDatasetProfiler_evrs_with_exception.json"),
) as infile:
return expectationSuiteValidationResultSchema.load(json.load(infile))
def datetime_column_evrs():
"""hand-crafted EVRS for datetime columns"""
with open(
file_relative_path(
__file__, "../fixtures/datetime_column_evrs.json")) as infile:
return expectationSuiteValidationResultSchema.load(
json.load(infile, object_pairs_hook=OrderedDict))
def titanic_profiler_evrs():
with open(
file_relative_path(
__file__,
"./fixtures/BasicDatasetProfiler_evrs.json")) as infile:
return expectationSuiteValidationResultSchema.load(
json.load(infile, object_pairs_hook=OrderedDict))
def titanic_profiled_name_column_evrs():
# This is a janky way to fetch expectations matching a specific name from an EVR suite.
# TODO: It will no longer be necessary once we implement ValidationResultSuite._group_evrs_by_column
from great_expectations.render.renderer.renderer import Renderer
with open(
file_relative_path(
__file__,
"./fixtures/BasicDatasetProfiler_evrs.json"), ) as infile:
titanic_profiled_evrs_1 = expectationSuiteValidationResultSchema.load(
json.load(infile))
evrs_by_column = Renderer()._group_evrs_by_column(titanic_profiled_evrs_1)
name_column_evrs = evrs_by_column["Name"]
return name_column_evrs