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pyproject.toml
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[build-system]
requires = ["setuptools", "wheel"]
# uncomment to enable pep517 after versioneer problem is fixed.
# https://github.com/python-versioneer/python-versioneer/issues/193
# build-backend = "setuptools.build_meta"
[tool.mypy]
python_version = "3.8"
plugins = [
"pydantic.mypy",
"sqlalchemy.ext.mypy.plugin"
]
files = [
"great_expectations",
"docs",
"tests",
# "contrib" # ignore entire `contrib` package
]
warn_unused_configs = true
ignore_missing_imports = false
follow_imports = 'normal'
warn_redundant_casts = true
show_error_codes = true
enable_error_code = [
'ignore-without-code',
'explicit-override'
]
# The following list of codes are globally ignored, do not add to this list
disable_error_code = [
# annotation-unchecked are 'warning notes', not errors and won't cause mypy to fail
# but it does create a lot of noise in the CI mypy step.
# https://mypy-lang.blogspot.com/2022/11/mypy-0990-released.html
'annotation-unchecked',
]
exclude = [
# BEGIN ALWAYS EXCLUDE SECTION #####################################################
# If pattern should always be excluded add comment explaining why and put
# Docs should not be type checked with the rest of the library.
'docs/docusaurus',
'docs/expectation_gallery',
'docs/readme_assets',
'docs/sphinx_api_docs_source',
'_version\.py', # generated by `versioneer`
'v012', # legacy code
'datasource/data_connector/configured_asset_sql_data_connector\.py', # 37 - This is legacy code and will not be typed.
'core/usage_statistics/anonymizers/batch_anonymizer\.py', # 10 - This code will be removed in 1.0
'core/usage_statistics/anonymizers/batch_request_anonymizer\.py', # 16 - This code will be removed in 1.0
'core/usage_statistics/anonymizers/checkpoint_anonymizer\.py', # 16 - This code will be removed in 1.0
'core/usage_statistics/anonymizers/data_docs_anonymizer\.py', # 5 - This code will be removed in 1.0
'core/usage_statistics/anonymizers/datasource_anonymizer\.py', # 9 - This code will be removed in 1.0
'core/usage_statistics/anonymizers/expectation_anonymizer\.py', # 6 - This code will be removed in 1.0
'core/usage_statistics/anonymizers/validation_operator_anonymizer\.py', # 5 - This code will be removed in 1.0
# END ALWAYS EXCLUDE SECTION ######################################################
#
# #################################################################################
# TODO: complete typing for the following modules and remove from exclude list
# number is the current number of typing errors for the excluded pattern
'expectations/core/expect_column_values_to_be_of_type\.py', # 6
'expectations/core/expect_column_values_to_not_match_regex_list\.py', # 2
'expectations/core/expect_column_values_to_not_match_regex\.py', # 2
'expectations/core/expect_column_values_to_not_match_like_pattern_list\.py', # 3
'expectations/core/expect_column_values_to_not_match_like_pattern\.py', # 2
'expectations/core/expect_column_values_to_not_be_in_set\.py', # 2
'expectations/core/expect_column_values_to_match_strftime_format\.py', # 2
'expectations/core/expect_column_values_to_match_regex_list\.py', # 2
'expectations/core/expect_column_values_to_match_regex\.py', # 1
'expectations/core/expect_column_values_to_match_like_pattern_list\.py', # 3
'expectations/core/expect_column_values_to_match_like_pattern\.py', # 2
'expectations/core/expect_column_values_to_match_json_schema\.py', # 1
'expectations/core/expect_column_values_to_be_null\.py', # 3
'expectations/core/expect_column_values_to_be_json_parseable\.py', # 1
'expectations/core/expect_column_values_to_be_increasing\.py', # 1
'expectations/core/expect_column_values_to_be_in_type_list\.py', # 6
'expectations/core/expect_column_values_to_be_decreasing\.py', # 1
'expectations/core/expect_column_values_to_be_dateutil_parseable\.py', # 1
'expectations/core/expect_column_unique_value_count_to_be_between\.py', # 1
'expectations/core/expect_column_stdev_to_be_between\.py', # 1
'expectations/core/expect_column_quantile_values_to_be_between\.py', # 15
'expectations/core/expect_column_value_lengths_to_equal\.py', # 1
'expectations/core/expect_column_value_lengths_to_be_between\.py', # 5
'expectations/core/expect_column_proportion_of_unique_values_to_be_between\.py', # 1
'expectations/core/expect_column_values_to_be_in_set\.py', # 2
'expectations/core/expect_column_values_to_be_equal\.py', # 3
'expectations/core/expect_column_values_a_to_be_greater_than_b\.py', # 3
'expectations/core/expect_column_pair_cramers_phi_value_to_be_less_than\.py', # 7
'expectations/core/expect_column_most_common_value_to_be_in_set\.py', # 3
'expectations/core/expect_column_kl_divergence_to_be_less_than\.py', # 22
'expectations/core/expect_column_pair_values_to_be_in_set\.py', # 2
'expectations/core/expect_column_pair_values_to_be_equal\.py', # 6
'expectations/core/expect_column_pair_values_a_to_be_greater_than_b\.py', # 3
'expectations/core/expect_column_distinct_values_to_be_in_set\.py', # 1
'expectations/core/expect_compound_columns_to_be_unique\.py', # 3
'expectations/core/expect_multicolumn_sum_to_equal\.py', # 4
'expectations/core/expect_multicolumn_values_to_be_unique\.py', # 3
'expectations/core/expect_select_column_values_to_be_unique_within_record\.py', # 3
'expectations/core/expect_table_columns_to_match_set\.py', # 8
'expectations/core/expect_table_columns_to_match_ordered_list\.py', # 11
'expectations/core/expect_table_column_count_to_equal\.py', # 5
'expectations/set_based_column_map_expectation\.py', # 3
'render/renderer/content_block/content_block\.py', # 5
'render/renderer/content_block/exception_list_content_block\.py', # 4
'render/renderer/page_renderer\.py', # 10
'render/renderer/profiling_results_overview_section_renderer\.py', # 2
'render/renderer/site_builder\.py', # 3
'render/renderer/slack_renderer\.py', # 9
'rule_based_profiler/domain_builder/map_metric_column_domain_builder\.py', # 8
'rule_based_profiler/estimators/bootstrap_numeric_range_estimator\.py', # 8
'rule_based_profiler/estimators/kde_numeric_range_estimator\.py', # 7
'rule_based_profiler/expectation_configuration_builder', # 13
'rule_based_profiler/helpers/util\.py', # 46
'rule_based_profiler/parameter_builder/unexpected_count_statistics_multi_batch_parameter_builder\.py', # 69
'rule_based_profiler/parameter_builder/mean_unexpected_map_metric_multi_batch_parameter_builder\.py', # 19
'rule_based_profiler/parameter_builder/metric_multi_batch_parameter_builder\.py', # 15
'rule_based_profiler/parameter_builder/numeric_metric_range_multi_batch_parameter_builder\.py', # 27
'rule_based_profiler/parameter_builder/parameter_builder\.py', # 40
'rule_based_profiler/parameter_builder/partition_parameter_builder\.py', # 9
'rule_based_profiler/parameter_builder/regex_pattern_string_parameter_builder\.py', # 21
'rule_based_profiler/parameter_builder/simple_date_format_string_parameter_builder\.py', # 20
'rule_based_profiler/rule_based_profiler\.py', # 40
# tests
'tests/actions/test_core_actions\.py',
'tests/checkpoint/test_checkpoint_result_format\.py',
'tests/checkpoint/test_checkpoint\.py',
'tests/core/test_batch\.py',
'tests/core/test_expectation_configuration\.py',
'tests/core/test_expectation_suite\.py',
'tests/core/test_expectation_validation_result\.py',
'tests/core/test_validation_definition\.py',
'tests/core/test_yaml_handler\.py',
'tests/data_context/abstract_data_context/test_abstract_data_context_datasource_crud\.py',
'tests/data_context/abstract_data_context/test_data_docs_config_crud\.py',
'tests/data_context/cloud_data_context/test_include_rendered_content\.py',
'tests/data_context/fixtures/plugins/extended_checkpoint\.py',
'tests/data_context/migrator',
'tests/data_context/store/test_configuration_store\.py',
'tests/data_context/store/test_data_asset_store\.py',
'tests/data_context/store/test_datasource_store\.py',
'tests/data_context/store/test_store_backends\.py',
'tests/data_context/test_data_context_in_code_config\.py',
'tests/data_context/test_data_context_state_management\.py',
'tests/data_context/test_data_context_variables\.py',
'tests/datasource/data_connector',
'tests/datasource/fluent/tasks\.py',
'tests/datasource/test_datasource_dict\.py',
'tests/datasource/test_new_datasource_with_sql_data_connector\.py',
'tests/datasource/test_simple_sqlalchemy_datasource\.py',
'tests/execution_engine/partition_and_sample',
'tests/expectations',
'tests/experimental/metric_repository/test_column_descriptive_metrics_metric_retriever_integration\.py',
'tests/experimental/metric_repository/test_column_descriptive_metrics_metric_retriever\.py',
'tests/experimental/metric_repository/test_metric_list_metric_retriever_integration\.py',
'tests/experimental/metric_repository/test_metric_list_metric_retriever\.py',
'tests/integration/common_workflows',
'tests/integration/db',
'tests/integration/docusaurus/connecting_to_your_data',
'tests/integration/docusaurus/deployment_patterns',
'tests/integration/docusaurus/expectations',
'tests/integration/docusaurus/reference',
'tests/integration/docusaurus/setup',
'tests/integration/docusaurus/tutorials',
'tests/integration/docusaurus/validation',
'tests/integration/fixtures/partition_and_sample_data',
'tests/integration/fixtures/yellow_tripdata_pandas_fixture',
'tests/integration/spark/test_spark_config\.py',
'tests/integration/test_definitions',
'tests/integration/test_script_runner\.py',
'tests/performance',
'tests/render',
'tests/rule_based_profiler',
'tests/test_fixtures/rule_based_profiler/plugins',
'tests/test_utils\.py',
'tests/validator/test_metric_configuration\.py',
'tests/validator/test_metrics_calculator\.py',
'tests/validator/test_validation_graph\.py',
]
[[tool.mypy.overrides]]
# TODO: remove these overrides once we have typed the modules
module = [
"contrib.experimental.great_expectations_experimental.*",
"great_expectations.checkpoint.checkpoint",
"great_expectations.compatibility.docstring_parser",
"great_expectations.data_context.*",
"great_expectations.dataset.*",
"great_expectations.expectations.core.*",
"great_expectations.expectations.metrics.column_map_metrics.*",
"great_expectations.expectations.metrics.column_pair_map_metrics.*",
"great_expectations.experimental.rule_based_profiler.*",
"great_expectations.render.renderer.*",
"great_expectations.self_check.*",
"tests.rule_based_profiler.*",
"tests.test_utils",
]
follow_imports = 'silent'
[[tool.mypy.overrides]]
# need to use override because a mypy bug prevents ignoring an assignment warning inline
# for `from azure import storage`
module = ["great_expectations.compatibility.azure"]
disable_error_code = [
'assignment', # cannot assign NotImported to a ModuleType
]
[[tool.mypy.overrides]]
module = [
"altair.*",
"boto3.*",
"botocore.*",
"clickhouse_sqlalchemy.*",
"google.*",
"great_expectations.compatibility.pydantic.*",
"ipywidgets.*",
"mistune.*",
"moto.*",
"pact.*",
"posthog.*",
"pyarrow.*",
"pyfakefs.*",
"pypd.*",
"pytest_timeout.*",
"ruamel.*",
"scipy.*",
"sempy.*",
"shapely.*",
"snapshottest.*",
"snowflake.*",
"sqlalchemy_bigquery.*",
"sqlalchemy_dremio.*",
"sqlalchemy_redshift.*",
"sqlalchemy.*", # remove once we are using sqlalchemy 2 in type-checking step
"teradatasqlalchemy.*",
"trino.*",
]
ignore_missing_imports = true
[tool.pydantic-mypy]
# https://pydantic-docs.helpmanual.io/mypy_plugin/#plugin-settings
init_typed = true
warn_required_dynamic_aliases = true
warn_untyped_fields = true
[tool.ruff]
target-version = "py38"
line-length = 100
lint.preview = true # This enables preview rules for specified rules e.g. NPY201
lint.explicit-preview-rules = true # https://docs.astral.sh/ruff/preview/#selecting-single-preview-rules
lint.select = [
# https://beta.ruff.rs/docs/rules/#pyflakes-f
"F", # Pyflakes
# https://beta.ruff.rs/docs/rules/#pycodestyle-e-w
"E", # pycodestyle
"W", # Warning
# https://beta.ruff.rs/docs/rules/#flake8-comprehensions-c4
# https://beta.ruff.rs/docs/rules/#mccabe-c90
"C", # Complexity (mccabe+) & comprehensions
# https://beta.ruff.rs/docs/rules/#pyupgrade-up
"UP", # pyupgrade
# https://beta.ruff.rs/docs/rules/#isort-i
"I", # isort
# https://beta.ruff.rs/docs/rules/#flake8-type-checking-tch
"TCH", # flake8-type-checking-tch
# https://beta.ruff.rs/docs/rules/#flake8-tidy-imports-tid
"TID", # flake8-tidy-imports
# https://beta.ruff.rs/docs/rules/#flake8-pyi-pyi
"PYI", # flake8-pyi - type stub files
# https://beta.ruff.rs/docs/rules/#flake8-use-pathlib-pth
"PTH", # use-pathlib - use pathlib for os.path and glob operations
# https://beta.ruff.rs/docs/rules/#flake8-bugbear-b
"B", # bugbear - common python bugs & design issues
# https://beta.ruff.rs/docs/rules/#flake8-datetimez-dtz
"DTZ", # flake8-datetimez-dtz - prevent use of tz naive datetimes
# https://beta.ruff.rs/docs/rules/#pylint-pl
"PL", # pylint
# https://beta.ruff.rs/docs/rules/#ruff-specific-rules-ruf
"RUF", # custom ruff rules
# https://docs.astral.sh/ruff/rules/#numpy-specific-rules-npy
"NPY", # NumPy-specific rules TODO: Enable after fixing or ignoring errors
"NPY201", # numpy 2.0 compatibility (see https://numpy.org/devdocs/numpy_2_0_migration_guide.html#ruff-plugin) -- Explicitly listed to view preview rule errors
# https://docs.astral.sh/ruff/rules/#tryceratops-try
"TRY", # TRYceratops
# https://docs.astral.sh/ruff/rules/#flake8-simplify-sim
"SIM", # flake8-simplify
]
lint.ignore = [
# formatting related ignores
# https://docs.astral.sh/ruff/formatter/#conflicting-lint-rules
"W191", # tab-identation
"E111", # indentation-with-invalid-multiple
"E114", # indentation-with-invalid-multiple-comment
"E117", # over-idented
# https://beta.ruff.rs/docs/rules/#pyflakes-f
"F842", # variable annotated but unused # TODO enable
# https://beta.ruff.rs/docs/rules/#pycodestyle-e-w
"E402", # module level import not at top of file
# https://beta.ruff.rs/docs/rules/#flake8-comprehensions-c4
"C400", # TODO enable
"C408", # TODO enable
"C409", # TODO enable
"C413", # TODO enable
"C414", # TODO enable
"C416", # TODO enable
"C417", # TODO enable
# https://beta.ruff.rs/docs/rules/#pyupgrade-up
"UP006", # use-pep585-annotation
"UP007", # use-pep604-annotation
# https://beta.ruff.rs/docs/rules/#flake8-type-checking-tch
# minimal cost for standard lib imports; keep this disabled
"TCH003", # typing-only-standard-library-import
# gives false positives if we use try imports and type-checking import
"TCH004", # runtime-import-in-type-checking-block
"TID252", # Relative imports from parent modules are banned
# https://beta.ruff.rs/docs/rules/#flake8-use-pathlib-pth
"PTH123", # pathlib-open - this would force pathlib usage anytime open or with open was used.
# https://beta.ruff.rs/docs/rules/#flake8-pyi-pyi
"PYI053", # string-or-bytes-too-long - causes mypy to fail on some of our type stubs
"PYI054", # numeric-literal-too-long - causes mypy to fail on some of our type stubs
# https://beta.ruff.rs/docs/rules/#flake8-bugbear-b
# TODO: enable these
"B904", # raise-without-from-inside-except
"B028", # no-explicit-stacklevel - https://beta.ruff.rs/docs/rules/no-explicit-stacklevel/
"B007", # unused-loop-control-variable
# TODO: enable remaining ruf rules in followup PRs
"RUF005", # collection-literal-concatenation
"RUF012", # mutable-class-default - too many violations
"RUF015", # unnecessary-iterable-allocation-for-first-element - requires more careful review
"TRY300", # Consider moving this statement to an `else` block - we don't use this; this is kind of weird
# TODO: enable these a few at a time (ordered by number of violations)
"SIM108", # if-else-block-instead-of-if-exp # Not enabling: This is not compatible with type narrowing
"SIM102", # collapsible-if
"SIM105", # suppressible-exception
"SIM117", # multiple-with-statements
"SIM910", # dict-get-with-none-default
"SIM401", # if-else-block-instead-of-dict-get
"SIM115", # open-file-with-context-handler
"SIM202", # negate-not-equal-op
"SIM210", # if-expr-with-true-false
"SIM112", # uncapitalized-environment-variables
]
extend-exclude = [
"docs/docusaurus/versioned_docs/version-0.18",
"docs/docusaurus/versioned_docs/version-0.17",
"build/*",
"versioneer*",
"examples/*",
# TODO: remove the items below and fix linting issues
"tests/data_asset", # 10 warnings
"tests/dataset", # 10 warnings
]
[tool.ruff.lint.per-file-ignores]
"ci/checks" = [
"E501", # line too long - too many violation & not relevant for CI checks
]
"assets/benchmark/benchmark.py" = [
"DTZ", # flake8-datetimez-dtz - doesn't matter for benchmark tests
]
"assets/scripts/build_gallery.py" = [
"PLR0912", # Too many branches - scripts are not part of the main codebase
"PLR0913", # Too many arguments - scripts are not part of the main codebase
"PLR0915", # Too many statements - scripts are not part of the main codebase
"E501", # line too long - scripts are not part of the main codebase
]
"__init__.py" = [
"F401", # unused import
"F403", # star imports
"PTH207", # use glob - __all__ needs to be list of str, not Path
]
"*.pyi" = [
"TID251", # flake8-banned-api - type stubs are not executed
]
"great_expectations/_version.py" = [
"PLR", # pylint - versioneer code
]
"great_expectations/compatibility/*.py" = [
"TID251", # flake8-banned-api
]
"tasks.py" = [
"PLR0913",
"TID251", # not part of core code
]
"tests/integration/docusaurus/*.py" = [
"F841", # local variable is assigned to but never used - ignored for code used in snippets
"E501", # may affect how code is displayed in the docs
]
[tool.ruff.lint.flake8-type-checking]
# pydantic models use annotations at runtime
runtime-evaluated-base-classes = [
# NOTE: ruff is unable to detect that these are subclasses of pydantic.BaseModel
"pydantic.BaseModel",
"great_expectations.checkpoint.checkpoint.Checkpoint",
"great_expectations.datasource.fluent.fluent_base_model.FluentBaseModel",
"great_expectations.datasource.fluent.interfaces.Datasource",
"great_expectations.datasource.fluent.sql_datasource.SQLDatasource",
]
runtime-evaluated-decorators = ["pydantic.dataclasses.dataclass"]
[tool.ruff.lint.mccabe]
# https://docs.astral.sh/ruff/rules/complex-structure/
max-complexity = 8
[tool.ruff.lint.pydocstyle]
convention = "google"
[tool.ruff.lint.flake8-tidy-imports.banned-api]
"os.environ".msg = """Please do not use os.environ outside of configuration files.
If you are working in a configuration file you may use the inline comment \
"# noqa: TID251 # os.environ allowed in config files" to ignore this error."""
"sqlalchemy".msg = "Please do not import sqlalchemy directly, import from great_expectations.compatibility.sqlalchemy instead."
"pyspark".msg = "Please do not import pyspark directly, import from great_expectations.compatibility.pyspark instead."
"boto3".msg = "Please do not import boto3 directly, import from great_expectations.compatibility.aws instead."
"google".msg = "Please do not import google directly, import from great_expectations.compatibility.google instead."
"azure".msg = "Please do not import azure directly, import from great_expectations.compatibility.azure instead."
"trino".msg = "Please do not import trino directly, import from great_expectations.compatibility.trino instead."
"pyarrow".msg = "Please do not import pyarrow directly, import from great_expectations.compatibility.pyarrow instead."
"typing_extensions.override".msg = "Do not import typing_extensions.override directly, import `override` from great_expectations.compatibility.typing_extensions instead."
# TODO: remove pydantic once our min version is pydantic v2
"pydantic".msg = "Please do not import pydantic directly, import from great_expectations.compatibility.pydantic instead."
"pkg_resources".msg = "pkg_resources module has been deprecated. Use importlib.resources or importlib.metada instead."
"great_expectations.util.convert_to_json_serializable".msg = "Use pydantic for serialization."
"great_expectations.util.ensure_json_serializable".msg = "Use pydantic for serialization."
# -----------------------------------------------------------------
[tool.pytest.ini_options]
# https://docs.python.org/3/library/warnings.html#the-warnings-filter
filterwarnings = [
# Turn all warnings not explicitly filtered below into errors
"error",
# PendingDeprecationWarning: these relate to the use of methods that are not even deprecated yet.
# We want to see the warnings in the logs, but not have them cause CI to fail.
"once::PendingDeprecationWarning",
# Generally we shouldn't need to use a context manger with `mocker` but it can be useful
# if we want the patch/mock to end before the test finishes.
# Example: Mocks returned by pytest-mock do not need to be used as context managers.
# The mocker fixture automatically undoes mocking at the end of a test. This warning can be ignored if it was triggered by mocking a context manager.
# https://pytest-mock.readthedocs.io/en/latest/remarks.html#usage-as-context-manager
"default::pytest_mock.plugin.PytestMockWarning",
# Find and fix ruff DTZ violations
'once: datetime.datetime.utc.*\(\) is deprecated .*:DeprecationWarning',
# the pkg_resources module distributed with setuptools has been deprecated
# we should never use it but it is used in some of our dependencies
# https://setuptools.pypa.io/en/latest/pkg_resources.html
"once:pkg_resources is deprecated as an API:DeprecationWarning",
# ruamel, google, etc.
"once:Deprecated call to `pkg_resources.declare_namespace:DeprecationWarning",
# This warning is common during testing where we intentionally use a COMPLETE format even in cases that would
# be potentially overly resource intensive in standard operation
"ignore:Setting result format to COMPLETE for a SqlAlchemyDataset:UserWarning",
# This deprecation warning was fixed in moto release 1.3.15, and the filter should be removed once we migrate
# to that minimum version
"ignore:Using or importing the ABCs:DeprecationWarning:moto.cloudformation.parsing",
# This deprecation warning comes from getsentry/responses, a mocking utility for requests. It is a dependency in moto.
"ignore:stream argument is deprecated. Use stream parameter in request directly:DeprecationWarning",
# We likely won't be updating to `marhsmallow` 4, these errors should be filtered out
"error::marshmallow.warnings.RemovedInMarshmallow4Warning",
# pkg_resources is deprecated as an API, but third party libraries still use it
'ignore: Deprecated call to `pkg_resources.declare_namespace\(.*\)`',
# --------------------------------------- Great Expectations Warnings ----------------------------------
# This warning is for configuring the result_format parameter at the Validator-level, which will not be persisted,
# but is still useful for building the configuration.
"ignore:`result_format` configured at the Validator-level will not be persisted:UserWarning",
# This warning is for configuring the result_format parameter at the Expectation-level, which will not be persisted,
# but is still useful for building the configuration.
"ignore:`result_format` configured at the Expectation-level will not be persisted:UserWarning",
# This warning can be emitted when configuring splitters with fluent datasources
"ignore:The same option name is applied for your batch regex and splitter config:UserWarning",
# --------------------------------------- Great Expectations Warnings ----------------------------------
# --------------------------------------- Great Expectations Deprecation Warnings ----------------------------------
# Ignores in this section are for items in Great Expectations that are deprecated but not yet removed. Once the
# relevant code is removed, the warning ignore should also be removed.
# By ignoring these warnings, we will be able to turn on "warnings are errors" in our pipelines.
# Example Actual Warning: UserWarning: Your query appears to have hard-coded references to your data. By not parameterizing your query with `{batch}`, {col}, etc., you may not be validating against your intended data asset, or the expectation may fail.
'ignore: Your query appears to have hard-coded references to your data. By not parameterizing your query with `{batch}`, {col}, etc., you may not be validating against your intended data asset, or the expectation may fail.:UserWarning',
# Example Actual Warning: UserWarning: Your query appears to not be parameterized for a data asset. By not parameterizing your query with `{batch}`, you may not be validating against your intended data asset, or the expectation may fail.
'ignore: Your query appears to not be parameterized for a data asset. By not parameterizing your query with `{batch}`, you may not be validating against your intended data asset, or the expectation may fail.:UserWarning',
# Example Actual Warning: (found in test_expect_queried_column_value_frequency_to_meet_threshold_override_query_sqlite)
# UserWarning: `row_condition` is an experimental feature. Combining this functionality with QueryExpectations may result in unexpected behavior.
'ignore: `row_condition` is an experimental feature. Combining this functionality with QueryExpectations may result in unexpected behavior.:UserWarning',
# Example Actual Warning: (found in test_golden_path_sql_datasource_configuration)
# DeprecationWarning: get_batch is deprecated for the V3 Batch Request API as of v0.13.20 and will be removed in v0.16. Please use get_batch_list instead.
'ignore: get_batch is deprecated for the V3 Batch Request API as of v0.13.20 and will be removed in v0.16.:DeprecationWarning',
# Example Actual Warning: (found in test_data_context)
# UserWarning: Warning. An existing `great_expectations.yml` was found here
'ignore: Warning. An existing `great_expectations.yml` was found here:UserWarning',
# Example Actual Warning: (found in test_data_context)
# UserWarning: Warning. An existing `config_variables.yml` was found here
'ignore: Warning. An existing `config_variables.yml` was found here:UserWarning',
# --------------------------------------- Great Expectations Deprecation Warnings ----------------------------------
# --------------------------------------- TEMPORARY IGNORES --------------------------------------------------------
# The warnings in this section should be addressed (fixed or ignored) but are ignored here temporarily to help allow
# turning on "warnings are errors" so new warnings become errors and are addressed during PRs.
'ignore: The distutils package is deprecated and slated for removal in Python 3.12. Use setuptools or check PEP 632 for potential alternatives:DeprecationWarning',
# python
# Example Actual Warning: RuntimeWarning: divide by zero encountered in divide, RuntimeWarning: divide by zero encountered in true_divide
# Found in test_atomic_prescriptive_summary_expect_column_kl_divergence_to_be_less_than, test_case_runner_v2_api
'ignore: divide by zero encountered:RuntimeWarning',
# Example Actual Warning: Found running tests/test_definitions/test_expectations_v3_api.py
# DeprecationWarning: NotImplemented should not be used in a boolean context
'ignore: NotImplemented should not be used in a boolean context:DeprecationWarning',
# python 3.10
# Example Actual Warning: Found in tests/datasource/fluent/data_asset/data_connector/test_s3_data_connector.py
# DeprecationWarning: ssl.PROTOCOL_TLS is deprecated
'ignore: ssl.PROTOCOL_TLS is deprecated:DeprecationWarning',
# python 3.11
# data_connector/util.py imports deprecated modules that will be removed in Python 3.12
"ignore: module 'sre_constants' is deprecated:DeprecationWarning",
"ignore: module 'sre_parse' is deprecated:DeprecationWarning",
# trino
# example actual warning: found in great_expectations/self_check/util.py:2752: in _create_trino_engine
# sqlalchemy.exc.SADeprecationWarning: The dbapi() classmethod on dialect classes has been renamed to import_dbapi(). Implement an import_dbapi() classmethod directly on class <class 'trino.sqlalchemy.dialect.TrinoDialect'> to remove this warning; the old .dbapi() classmethod may be maintained for backwards compatibility.
'ignore: The dbapi\(\) classmethod on dialect classes has been renamed to import_dbapi\(\):DeprecationWarning',
# six
# Example Actual Warning: Found in ImportError while loading conftest '/great_expectations/tests/conftest.py'.
# ImportWarning: _SixMetaPathImporter.exec_module() not found; falling back to load_module()
'ignore: _SixMetaPathImporter.exec_module\(\) not found:ImportWarning',
# distutils
# Example Actual Warning: Found in tests/datasource/test_batch_generators.py, test spark python 3.10
# DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.
'ignore: distutils Version classes are deprecated. Use packaging.version instead.:DeprecationWarning',
# pandas
# Example Actual Warning: FutureWarning: In a future version of pandas, parsing datetimes with mixed time zones will raise an error unless `utc=True`. Please specify `utc=True` to opt in to the new behaviour and silence this warning. To create a `Series` with mixed offsets and `object` dtype, please use `apply` and `datetime.datetime.strptime`
# Found when running pytest tests/test_definitions/test_expectations_v3_api.py
'ignore: In a future version of pandas, parsing datetimes with mixed time zones:FutureWarning',
# Example Actual Warning: FutureWarning: The behavior of `series[i:j]` with an integer-dtype index is deprecated. In a future version, this will be treated as *label-based* indexing, consistent with e.g. `series[i]` lookups. To retain the old behavior, use `series.iloc[i:j]`. To get the future behavior, use `series.loc[i:j]`.
# Found when running pytest tests/test_definitions/test_expectations_v3_api.py
'ignore: The behavior of `series:FutureWarning',
# Example Actual Warning: UserWarning: Unknown extension is not supported and will be removed
# Found when running TestIO.test_read_excel
'ignore: Unknown extension is not supported and will be removed:UserWarning',
# Example Actual Warning: DeprecationWarning: The default dtype for empty Series will be 'object' instead of 'float64' in a future version. Specify a dtype explicitly to silence this warning.
# Found when running test_value_counts_metric_spark
"ignore: The default dtype for empty Series will be 'object' instead of 'float64' in a future version.:DeprecationWarning",
# Example Actual Warning: Found by running tests/expectations/metrics/test_core.py::test_value_counts_metric_spark
# FutureWarning: The default dtype for empty Series will be 'object' instead of 'float64' in a future version. Specify a dtype explicitly to silence this warning.
'ignore: The default dtype for empty Series will be:FutureWarning',
# Example Actual Warning: Found by running tests/render/test_column_section_renderer.py::test_ProfilingResultsColumnSectionRenderer_render_bar_chart_table with Pandas 2.0. The warning is emitted through an Altair v5 codepath.
# FutureWarning: the convert_dtype parameter is deprecated and will be removed in a future version. Do ``ser.astype(object).apply()`` instead if you want ``convert_dtype=False``.
# GH Issue: https://github.com/altair-viz/altair/issues/3181
'ignore: the convert_dtype parameter is deprecated and will be removed in a future version:FutureWarning',
# Example Actual Warning: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
'ignore: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.',
# Example Actual Warning: FutureWarning: Returning a DataFrame from Series.apply when the supplied function returns a Series is deprecated and will be removed in a future version.
'ignore: Returning a DataFrame from Series.apply when the supplied function returns a Series is deprecated and will be removed in a future version.',
# Example Actual Warning: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.
# Found when runing pytest tests/test_definitions/test_expectations_v3_api.py
'ignore: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection:UserWarning',
# Example Actual Warning: FutureWarning: In a future version of pandas, parsing datetimes with mixed time zones will raise an error unless `utc=True`. Please specify `utc=True` to opt in to the new behaviour and silence this warning. To create a `Series` with mixed offsets and `object` dtype, please use `apply` and `datetime.datetime.strptime`
'ignore: In a future version of pandas, parsing datetimes with mixed time zones will raise an error:FutureWarning',
# Example Actual Warning: DeprecationWarning: Passing a BlockManager to PandasDataset is deprecated and will raise in a future version. Use public APIs instead.
# This is a legacy pattern that will be removed from GX
'ignore: Passing a BlockManager to PandasDataset is deprecated and will raise in a future version. Use public APIs instead.:DeprecationWarning',
# Example Actual Warning: DeprecationWarning: Passing a BlockManager to CustomPandasDataset is deprecated and will raise in a future version. Use public APIs instead.
'ignore: Passing a BlockManager to CustomPandasDataset is deprecated and will raise in a future version. Use public APIs instead.:DeprecationWarning',
# numpy
# Example Actual Warning: RuntimeWarning: Mean of empty slice.
# Found when running test_case_runner_v3_api[spark/column_aggregate_expectations/expect_column_median_to_be_between:test_empty_column_should_be_false_no_observed_value_with_which_to_compare] 'ignore: Mean of empty slice.:RuntimeWarning',
# Example Actual Warning: RuntimeWarning: invalid value encountered in double_scalars
# Found when running test_case_runner_v3_api[spark/column_aggregate_expectations/expect_column_median_to_be_between:test_empty_column_should_be_false_no_observed_value_with_which_to_compare] 'ignore: invalid value encountered:RuntimeWarning',
# spark
# Example Actual Warning: FutureWarning: Deprecated in 3.0.0. Use SparkSession.builder.getOrCreate() instead.
# Found when running test_case_runner_v2_api[SparkDFDataset/column_pair_map_expectations/expect_column_pair_values_to_be_in_set:basic_positive_test_without_nulls] 'ignore: Deprecated in 3.0.0. Use SparkSession.builder.getOrCreate\(\) instead.:FutureWarning',
# Example Acutal Warning: FutureWarning: is_datetime64tz_dtype is deprecated and will be removed in a future version. Check `isinstance(dtype, pd.DatetimeTZDtype)` instead.
'ignore: is_datetime64tz_dtype is deprecated and will be removed in a future version. Check `isinstance\(dtype, pd.DatetimeTZDtype\)` instead.',
# Example Actual Warning:
# ResourceWarning: unclosed <socket.socket fd=231, family=AddressFamily.AF_INET, type=SocketKind.SOCK_STREAM, proto=6, laddr=('127.0.0.1', 60004), raddr=('127.0.0.1', 46627)>
"ignore: unclosed <socket.socket:ResourceWarning",
# pymysql
# Example Actual Warning: pymysql.err.Warning: (1292, "Truncated incorrect DOUBLE value: 'cat'")
# Found in tests/test_definitions/test_expectations_v2_api.py, if not found in v3 api remove this ignore directive with the v2 api code.
'ignore: \(1292, "Truncated incorrect DOUBLE value:Warning',
# numpy and python 3.11
# Found when running tests in tests/profile/test_basic_suite_builder_profiler.py
# Example Actual Warning: RuntimeWarning: invalid value encountered in reduce
"ignore: invalid value encountered in reduce",
# urllib3
"ignore:'urllib3.contrib.pyopenssl' module is deprecated and will be removed in a future release of urllib3 2.x.:DeprecationWarning",
# boto
# Example Actual Warning: Found when importing botocore when collecting tests with 3.10.
# ImportWarning: _SixMetaPathImporter.find_spec() not found; falling back to find_module()
'ignore: _SixMetaPathImporter.find_spec\(\) not found; falling back to find_module\(\):ImportWarning',
# ruamel
'ignore:\nsafe_load will be removed:PendingDeprecationWarning',
'ignore:\nload will be removed:PendingDeprecationWarning',
# Warning found in tests/integration/profiling/rule_based_profiler/test_profiler_basic_workflows.py, among other places.
'ignore:\ndump will be removed:PendingDeprecationWarning',
# Warning found in tests/integration/profiling/rule_based_profiler/test_profiler_basic_workflows.py
'ignore:\ndump_all will be removed:PendingDeprecationWarning',
# pyarrow
# Example Actual Warning:
# UserWarning: You have an incompatible version of 'pyarrow' installed (11.0.0), please install a version that adheres to: 'pyarrow<10.1.0,>=10.0.1; extra == "pandas"'
"ignore: You have an incompatible version of 'pyarrow' installed:UserWarning",
# jupyter
# Example Actual Warning:
# DeprecationWarning: Jupyter is migrating its paths to use standard platformdirs
# given by the platformdirs library. To remove this warning and
# see the appropriate new directories, set the environment variable
# `JUPYTER_PLATFORM_DIRS=1` and then run `jupyter --paths`.
# The use of platformdirs will be the default in `jupyter_core` v6
'ignore: Jupyter is migrating its paths to use standard platformdirs:DeprecationWarning',
# pytest
# Example Actual Warning:
# pytest.PytestCollectionWarning: cannot collect test class 'TestConnectionError' because it has a __init__ constructor (from: tests/datasource/fluent/test_pandas_azure_blob_storage_datasource.py)
"ignore: cannot collect test class 'TestConnectionError' because it has a __init__ constructor:UserWarning",
# Example Actual Warning:
# pytest.PytestUnraisableExceptionWarning: Exception ignored in: <socket.socket fd=-1, family=AddressFamily.AF_INET, type=SocketKind.SOCK_STREAM, proto=6>
"ignore: Exception ignored in:UserWarning",
# jsonschema (altair dependency)
# Example Actual Warning:
# DeprecationWarning: jsonschema.RefResolver is deprecated as of v4.18.0, in favor of the
# https://github.com/python-jsonschema/referencing library,
# which provides more compliant referencing behavior as well as more flexible APIs for customization.
# A future release will remove RefResolver. Please file a feature request (on referencing) if you are missing an API for the kind of customization you need.
"ignore: jsonschema.RefResolver is deprecated as of v4.18.0:DeprecationWarning",
# Example Actual Warning:
# DeprecationWarning: Importing ErrorTree directly from the jsonschema package is deprecated and will become an ImportError. Import it from jsonschema.exceptions instead.
"ignore: Importing ErrorTree directly from the jsonschema package is deprecated and will become an ImportError. Import it from jsonschema.exceptions instead.:DeprecationWarning",
# sqlalchemy
# Example Actual Warning:
# sqlalchemy.exc.RemovedIn20Warning: Deprecated API features detected! These feature(s) are not compatible with SQLAlchemy 2.0. To prevent incompatible upgrades prior to updating applications, ensure requirements files are pinned to "sqlalchemy<2.0". Set environment variable SQLALCHEMY_WARN_20=1 to show all deprecation warnings. Set environment variable SQLALCHEMY_SILENCE_UBER_WARNING=1 to silence this message. (Background on SQLAlchemy 2.0 at: https://sqlalche.me/e/b8d9)
'ignore: Deprecated API features detected! These feature\(s\) are not compatible with SQLAlchemy 2\.0\.',
# --------------------------------------- TEMPORARY IGNORES --------------------------------------------------------
]
junit_family = "xunit2"
markers = [
"all_backends: mark tests that run against all execution engine backends",
"athena: mark a test as AWS Athena-dependent.",
"aws_creds: mark all tests that require aws credentials",
"aws_deps: mark tests that need aws dependencies like boto",
"big: mark tests that don't have external dependencies but aren't unit tests",
"clickhouse: mark a test as Clickhouse-dependent.",
"cloud: mark test as being relevant to Great Expectations Cloud.",
"docs-basic: mark a test as a docs test, that does not require additional credentials.",
"docs-creds-needed: mark a test as a docs test that needs additional cloud credentials (these will not run on public forks).",
"databricks: mark test as requiring databricks.",
"docs: mark a test as a docs test.",
"docs-spark: temporarily mark a test as a docs test that depends on spark.",
"e2e: mark test as an E2E test.",
"external_sqldialect: mark test as requiring install of an external sql dialect.",
"filesystem: mark tests using the filesystem as the storage backend.",
"mssql: mark a test as mssql-dependent.",
"mysql: mark a test as mysql-dependent.",
"openpyxl: mark a test for openpyxl-dependent, which is for Excel files.",
"performance: mark a test as a performance test for BigQuery. These aren't run in our PR or release pipeline",
"postgresql: mark a test as postgresql-dependent.",
"project: mark a test that verifies properties of the gx project",
"pyarrow: mark a test as PyArrow-dependent.",
"snowflake: mark a test as snowflake-dependent.",
"sqlalchemy_version_compatibility: mark test as required for sqlalchemy version compatibility.",
"sqlite: mark test requiring sqlite",
"slow: mark tests taking longer than 1 second.",
"spark: mark a test as Spark-dependent.",
"trino: mark a test as trino-dependent.",
"unit: mark a test as a unit test.",
"v2_api: mark test as specific to the v2 api (e.g. pre Data Connectors).",
]
testpaths = "tests"
# use `pytest-mock` drop-in replacement for `unittest.mock`
# https://pytest-mock.readthedocs.io/en/latest/configuration.html#use-standalone-mock-package
mock_use_standalone_module = false
# https://docs.pytest.org/en/7.1.x/how-to/logging.html#how-to-manage-logging
log_level = "info"
[tool.coverage.report]
# https://coverage.readthedocs.io/en/7.5.1/config.html
# Regexes for lines to exclude from consideration
exclude_also = [
# type-checking imports don't exist at runtime
"if TYPE_CHECKING:",
# Don't complain if tests don't hit NotImplementedError:
"raise NotImplementedError",
# Don't complain if non-runnable code isn't run:
"if __name__ == .__main__.:",
# Don't complain about abstract methods, they aren't run:
"@(abc\\.)?abstractmethod",
]