def test_expectation__get_renderers():
expectation_name = "expect_column_values_to_match_regex"
my_expectation = _registered_expectations[expectation_name]()
supported_renderers = my_expectation._get_supported_renderers(
expectation_name)
examples = my_expectation._get_examples()
example_data, example_test = my_expectation._choose_example(examples)
my_batch = Batch(data=example_data)
my_expectation_config = ExpectationConfiguration(**{
"expectation_type": expectation_name,
"kwargs": example_test
})
my_validation_results = my_expectation._instantiate_example_validation_results(
test_batch=my_batch,
expectation_config=my_expectation_config,
)
my_validation_result = my_validation_results[0]
renderer_dict = my_expectation._get_renderer_dict(
expectation_name,
my_expectation_config,
my_validation_result,
)
print(json.dumps(renderer_dict, indent=2))
assert renderer_dict == {
"standard": {
"renderer.answer":
'Less than 90.0% of values in column "a" match the regular expression ^a.',
"renderer.diagnostic.unexpected_statement":
"\n\n1 unexpected values found. 20% of 5 total rows.",
"renderer.diagnostic.observed_value":
"20% unexpected",
"renderer.diagnostic.status_icon":
"",
"renderer.diagnostic.unexpected_table":
None,
"renderer.prescriptive":
"a values must match this regular expression: ^a, at least 90 % of the time.",
"renderer.question":
'Do at least 90.0% of values in column "a" match the regular expression ^a?',
},
"custom": [],
}
# Expectation with no new renderers specified
print([x for x in _registered_expectations.keys() if "second" in x])
expectation_name = "expect_column_values_to_equal_three___second_iteration"
my_expectation = _registered_expectations[expectation_name]()
supported_renderers = my_expectation._get_supported_renderers(
expectation_name)
examples = my_expectation._get_examples()
example_data, example_test = my_expectation._choose_example(examples)
my_batch = Batch(data=example_data)
my_expectation_config = ExpectationConfiguration(**{
"expectation_type": expectation_name,
"kwargs": example_test
})
my_validation_results = my_expectation._instantiate_example_validation_results(
test_batch=my_batch,
expectation_config=my_expectation_config,
)
my_validation_result = my_validation_results[0]
renderer_dict = my_expectation._get_renderer_dict(
expectation_name,
my_expectation_config,
my_validation_result,
)
print(json.dumps(renderer_dict, indent=2))
assert renderer_dict == {
"standard": {
"renderer.answer": None,
"renderer.diagnostic.observed_value": "20% unexpected",
"renderer.diagnostic.status_icon": "",
"renderer.diagnostic.unexpected_statement": "",
"renderer.diagnostic.unexpected_table": None,
"renderer.prescriptive":
"expect_column_values_to_equal_three___second_iteration(**{'column': 'mostly_threes', 'mostly': 0.6})",
"renderer.question": None,
},
"custom": [],
}
# Expectation with no renderers specified
print([x for x in _registered_expectations.keys() if "second" in x])
expectation_name = "expect_column_values_to_equal_three___third_iteration"
my_expectation = _registered_expectations[expectation_name]()
supported_renderers = my_expectation._get_supported_renderers(
expectation_name)
examples = my_expectation._get_examples()
example_data, example_test = my_expectation._choose_example(examples)
my_batch = Batch(data=example_data)
my_expectation_config = ExpectationConfiguration(**{
"expectation_type": expectation_name,
"kwargs": example_test
})
my_validation_results = my_expectation._instantiate_example_validation_results(
test_batch=my_batch,
expectation_config=my_expectation_config,
)
my_validation_result = my_validation_results[0]
renderer_dict = my_expectation._get_renderer_dict(
expectation_name,
my_expectation_config,
my_validation_result,
)
print(json.dumps(renderer_dict, indent=2))
assert renderer_dict == {
"standard": {
"renderer.answer":
'At least 60.0% of values in column "mostly_threes" equal 3.',
"renderer.diagnostic.observed_value":
"20% unexpected",
"renderer.diagnostic.status_icon":
"",
"renderer.diagnostic.unexpected_statement":
"",
"renderer.diagnostic.unexpected_table":
None,
"renderer.prescriptive":
"mostly_threes values must be equal to 3, at least 60 % of the time.",
"renderer.question":
'Do at least 60.0% of values in column "mostly_threes" equal 3?',
},
"custom": [],
}
def test_expectation__get_renderers():
expectation_name = "expect_column_values_to_match_regex"
my_expectation = _registered_expectations[expectation_name]()
from great_expectations.expectations.registry import (
_registered_metrics,
_registered_renderers,
)
# supported_renderers = my_expectation._get_registered_renderers(
# expectation_name,
# _registered_renderers,
# )
examples = my_expectation._get_examples()
my_expectation_config = my_expectation._get_expectation_configuration_from_examples(
examples)
my_metric_diagnostics_list = my_expectation._get_metric_diagnostics_list(
expectation_config=my_expectation_config)
my_execution_engine_diagnostics = my_expectation._get_execution_engine_diagnostics(
metric_diagnostics_list=my_metric_diagnostics_list,
registered_metrics=_registered_metrics,
)
my_test_results = my_expectation._get_test_results(
expectation_type=expectation_name,
test_data_cases=examples,
execution_engine_diagnostics=my_execution_engine_diagnostics,
raise_exceptions_for_backends=False,
)
renderer_diagnostics = my_expectation._get_renderer_diagnostics(
expectation_type=expectation_name,
test_diagnostics=my_test_results,
registered_renderers=_registered_renderers,
)
assert isinstance(renderer_diagnostics, list)
assert len(renderer_diagnostics) == 10
for element in renderer_diagnostics:
print(json.dumps(element.to_dict(), indent=2))
assert isinstance(element, ExpectationRendererDiagnostics)
print([rd.name for rd in renderer_diagnostics])
assert {rd.name
for rd in renderer_diagnostics} == {
"renderer.diagnostic.unexpected_statement",
"renderer.diagnostic.meta_properties",
"renderer.diagnostic.unexpected_table",
"renderer.diagnostic.status_icon",
"renderer.answer",
"atomic.prescriptive.summary",
"atomic.diagnostic.observed_value",
"renderer.question",
"renderer.prescriptive",
"renderer.diagnostic.observed_value",
}
# assert renderer_diagnostics[0].to_dict() == {
# "name": "renderer.diagnostic.meta_properties",
# "is_supported": True,
# "is_standard": False,
# "samples": [
# ""
# ]
# }
# Expectation with no new renderers specified
print([x for x in _registered_expectations.keys() if "second" in x])
expectation_name = "expect_column_values_to_equal_three___second_iteration"
my_expectation = _registered_expectations[expectation_name]()
# supported_renderers = my_expectation._get_registered_renderers(
# expectation_name,
# _registered_renderers,
# )
examples = my_expectation._get_examples()
my_expectation_config = my_expectation._get_expectation_configuration_from_examples(
examples)
my_metric_diagnostics_list = my_expectation._get_metric_diagnostics_list(
expectation_config=my_expectation_config)
my_execution_engine_diagnostics = my_expectation._get_execution_engine_diagnostics(
metric_diagnostics_list=my_metric_diagnostics_list,
registered_metrics=_registered_metrics,
)
my_test_results = my_expectation._get_test_results(
expectation_type=expectation_name,
test_data_cases=examples,
execution_engine_diagnostics=my_execution_engine_diagnostics,
raise_exceptions_for_backends=False,
)
renderer_diagnostics = my_expectation._get_renderer_diagnostics(
expectation_type=expectation_name,
test_diagnostics=my_test_results,
registered_renderers=_registered_renderers,
)
assert isinstance(renderer_diagnostics, list)
for element in renderer_diagnostics:
print(json.dumps(element.to_dict(), indent=2))
assert isinstance(element, ExpectationRendererDiagnostics)
assert len(renderer_diagnostics) == 10
assert {rd.name
for rd in renderer_diagnostics} == {
"renderer.diagnostic.observed_value",
"renderer.prescriptive",
"renderer.diagnostic.meta_properties",
"renderer.diagnostic.status_icon",
"renderer.diagnostic.unexpected_table",
"atomic.diagnostic.observed_value",
"atomic.prescriptive.summary",
"renderer.answer",
"renderer.question",
"renderer.diagnostic.unexpected_statement",
}
# Expectation with no renderers specified
print([x for x in _registered_expectations.keys() if "second" in x])
expectation_name = "expect_column_values_to_equal_three___third_iteration"
my_expectation = _registered_expectations[expectation_name]()
# supported_renderers = my_expectation._get_registered_renderers(
# expectation_name,
# _registered_renderers,
# )
examples = my_expectation._get_examples()
my_expectation_config = my_expectation._get_expectation_configuration_from_examples(
examples)
my_metric_diagnostics_list = my_expectation._get_metric_diagnostics_list(
expectation_config=my_expectation_config)
my_execution_engine_diagnostics = my_expectation._get_execution_engine_diagnostics(
metric_diagnostics_list=my_metric_diagnostics_list,
registered_metrics=_registered_metrics,
)
my_test_results = my_expectation._get_test_results(
expectation_type=expectation_name,
test_data_cases=examples,
execution_engine_diagnostics=my_execution_engine_diagnostics,
raise_exceptions_for_backends=False,
)
renderer_diagnostics = my_expectation._get_renderer_diagnostics(
expectation_type=expectation_name,
test_diagnostics=my_test_results,
registered_renderers=_registered_renderers,
)
assert isinstance(renderer_diagnostics, list)
assert len(renderer_diagnostics) == 10
for element in renderer_diagnostics:
print(json.dumps(element.to_dict(), indent=2))
assert isinstance(element, ExpectationRendererDiagnostics)
assert len(renderer_diagnostics) == 10
assert {rd.name
for rd in renderer_diagnostics} == {
"renderer.diagnostic.observed_value",
"renderer.prescriptive",
"renderer.diagnostic.meta_properties",
"renderer.diagnostic.status_icon",
"renderer.diagnostic.unexpected_table",
"atomic.diagnostic.observed_value",
"atomic.prescriptive.summary",
"renderer.answer",
"renderer.question",
"renderer.diagnostic.unexpected_statement",
}