pyproject.toml

# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements.  See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership.  The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License.  You may obtain a copy of the License at
#
#   http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied.  See the License for the
# specific language governing permissions and limitations
# under the License.

[build-system]
# build dependencies should be fixed - including all transitive dependencies. This way we can ensure
# reproducibility of the build and make sure that any future releases of any dependencies will not
# break the build of released airflow sources in the future.
# The dependencies can be automatically upgraded by running:
# pre-commit run --hook-stage manual update-build-dependencies --all-files
requires = [
    "GitPython==3.1.43",
    "gitdb==4.0.11",
    "hatchling==1.25.0",
    "packaging==24.1",
    "pathspec==0.12.1",
    "pluggy==1.5.0",
    "smmap==5.0.1",
    "tomli==2.0.1; python_version < '3.11'",
    "trove-classifiers==2024.7.2",
]
build-backend = "hatchling.build"

[project]
name = "apache-airflow"
description = "Programmatically author, schedule and monitor data pipelines"
readme = { file = "generated/PYPI_README.md", content-type = "text/markdown" }
license-files.globs = ["LICENSE", "3rd-party-licenses/*.txt"]
requires-python = "~=3.8,<3.13"
authors = [
    { name = "Apache Software Foundation", email = "dev@airflow.apache.org" },
]
maintainers = [
    { name = "Apache Software Foundation", email="dev@airflow.apache.org" },
]
keywords = [ "airflow", "orchestration", "workflow", "dag", "pipelines", "automation", "data" ]
classifiers = [
    "Development Status :: 5 - Production/Stable",
    "Environment :: Console",
    "Environment :: Web Environment",
    "Framework :: Apache Airflow",
    "Intended Audience :: Developers",
    "Intended Audience :: System Administrators",
    "License :: OSI Approved :: Apache Software License",
    "Programming Language :: Python :: 3.8",
    "Programming Language :: Python :: 3.9",
    "Programming Language :: Python :: 3.10",
    "Programming Language :: Python :: 3.11",
    "Programming Language :: Python :: 3.12",
    "Topic :: System :: Monitoring",
]

dynamic = ["version", "optional-dependencies", "dependencies"]

# !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
# !!! YOU MIGHT BE SURPRISED NOT SEEING THE DEPENDENCIES AS `project.dependencies`     !!!!!!!!!
# !!! AND EXTRAS AS `project.optional-dependencies`                                    !!!!!!!!!
# !!! THEY ARE marked as `dynamic`  GENERATED by `hatch_build.py`                      !!!!!!!!!
# !!! SEE COMMENTS BELOW TO FIND WHERE DEPENDENCIES ARE MAINTAINED                     !!!!!!!!!
# !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
#
# !!!!!! Those providers are defined in `hatch_build.py` and should be maintained there  !!!!!!!
#
# Those extras are available as regular core airflow extras - they install optional features of Airflow.
#
# START CORE EXTRAS HERE
#
# aiobotocore, apache-atlas, apache-webhdfs, async, cgroups, cloudpickle, deprecated-api, github-
# enterprise, google-auth, graphviz, kerberos, ldap, leveldb, otel, pandas, password, pydantic,
# rabbitmq, s3fs, saml, sentry, statsd, uv, virtualenv
#
# END CORE EXTRAS HERE
#
# The ``devel`` extras are not available in the released packages. They are only available when you install
# Airflow from sources in ``editable`` installation - i.e. one that you are usually using to contribute to
# Airflow. They provide tools such as ``pytest`` and ``mypy`` for general purpose development and testing.
#
# START DEVEL EXTRAS HERE
#
# devel, devel-all-dbs, devel-ci, devel-debuggers, devel-devscripts, devel-duckdb, devel-hadoop,
# devel-mypy, devel-sentry, devel-static-checks, devel-tests
#
# END DEVEL EXTRAS HERE
#
# Those extras are bundles dynamically generated from other extras.
#
# START BUNDLE EXTRAS HERE
#
# all, all-core, all-dbs, devel-all, devel-ci
#
# END BUNDLE EXTRAS HERE
#
# The ``doc`` extras are not available in the released packages. They are only available when you install
# Airflow from sources in ``editable`` installation - i.e. one that you are usually using to contribute to
# Airflow. They provide tools needed when you want to build Airflow documentation (note that you also need
# ``devel`` extras installed for airflow and providers in order to build documentation for airflow and
# provider packages respectively). The ``doc`` package is enough to build regular documentation, where
# ``doc_gen`` is needed to generate ER diagram we have describing our database.
#
# START DOC EXTRAS HERE
#
# doc, doc-gen
#
# END DOC EXTRAS HERE
#
# The `deprecated` extras are deprecated extras from Airflow 1 that will be removed in future versions.
#
# START DEPRECATED EXTRAS HERE
#
# atlas, aws, azure, cassandra, crypto, druid, gcp, gcp-api, hdfs, hive, kubernetes, mssql, pinot, s3,
# spark, webhdfs, winrm
#
# END DEPRECATED EXTRAS HERE
#
# !!!!!! Those providers are defined in the `airflow/providers/<provider>/provider.yaml` files  !!!!!!!
#
# Those extras are available as regular Airflow extras, they install provider packages in standard builds
# or dependencies that are necessary to enable the feature in editable build.
# START PROVIDER EXTRAS HERE
#
# airbyte, alibaba, amazon, apache.beam, apache.cassandra, apache.drill, apache.druid, apache.flink,
# apache.hdfs, apache.hive, apache.iceberg, apache.impala, apache.kafka, apache.kylin, apache.livy,
# apache.pig, apache.pinot, apache.spark, apprise, arangodb, asana, atlassian.jira, celery, cloudant,
# cncf.kubernetes, cohere, common.compat, common.io, common.sql, databricks, datadog, dbt.cloud,
# dingding, discord, docker, elasticsearch, exasol, fab, facebook, ftp, github, google, grpc,
# hashicorp, http, imap, influxdb, jdbc, jenkins, microsoft.azure, microsoft.mssql, microsoft.psrp,
# microsoft.winrm, mongo, mysql, neo4j, odbc, openai, openfaas, openlineage, opensearch, opsgenie,
# oracle, pagerduty, papermill, pgvector, pinecone, postgres, presto, qdrant, redis, salesforce,
# samba, segment, sendgrid, sftp, singularity, slack, smtp, snowflake, sqlite, ssh, tableau, tabular,
# telegram, teradata, trino, vertica, weaviate, yandex, ydb, zendesk
#
# END PROVIDER EXTRAS HERE

[project.scripts]
airflow = "airflow.__main__:main"
[project.urls]
"Bug Tracker" = "https://github.com/apache/airflow/issues"
Documentation = "https://airflow.apache.org/docs/"
Downloads = "https://archive.apache.org/dist/airflow/"
Homepage = "https://airflow.apache.org/"
"Release Notes" = "https://airflow.apache.org/docs/apache-airflow/stable/release_notes.html"
"Slack Chat" = "https://s.apache.org/airflow-slack"
"Source Code" = "https://github.com/apache/airflow"
Twitter = "https://twitter.com/ApacheAirflow"
YouTube = "https://www.youtube.com/channel/UCSXwxpWZQ7XZ1WL3wqevChA/"

[tool.hatch.envs.default]
python = "3.8"
platforms = ["linux", "macos"]
description = "Default environment with Python 3.8 for maximum compatibility"
features = []

[tool.hatch.envs.airflow-38]
python = "3.8"
platforms = ["linux", "macos"]
description = "Environment with Python 3.8. No devel installed."
features = []

[tool.hatch.envs.airflow-39]
python = "3.9"
platforms = ["linux", "macos"]
description = "Environment with Python 3.9. No devel installed."
features = []

[tool.hatch.envs.airflow-310]
python = "3.10"
platforms = ["linux", "macos"]
description = "Environment with Python 3.10. No devel installed."
features = []

[tool.hatch.envs.airflow-311]
python = "3.11"
platforms = ["linux", "macos"]
description = "Environment with Python 3.11. No devel installed"
features = []

[tool.hatch.envs.airflow-312]
python = "3.12"
platforms = ["linux", "macos"]
description = "Environment with Python 3.12. No devel installed"
features = []


[tool.hatch.version]
path = "airflow/__init__.py"

[tool.hatch.build.targets.wheel.hooks.custom]
path = "./hatch_build.py"

[tool.hatch.build.hooks.custom]
path = "./hatch_build.py"

[tool.hatch.build.targets.custom]
path = "./hatch_build.py"

[tool.hatch.build.targets.sdist]
include = [
    "/airflow",
    "/airflow/git_version"
]
exclude = [
    "/airflow/providers/",
    "/airflow/www/node_modules/"
]
artifacts = [
    "/airflow/www/static/dist/",
    "/airflow/git_version",
    "/generated/",
]


[tool.hatch.build.targets.wheel]
include = [
    "/airflow",
]
exclude = [
    "/airflow/providers/",
]
artifacts = [
    "/airflow/www/static/dist/",
    "/airflow/git_version"
]

## black settings ##
[tool.black]
line-length = 110
target-version = ['py38', 'py39', 'py310', 'py311', 'py312']


## ruff settings ##
[tool.ruff]
target-version = "py38"
line-length = 110
extend-exclude = [
    ".eggs",
    "*/_vendor/*",
    # The files generated by stubgen aren't 100% valid syntax it turns out, and we don't ship them, so we can
    # ignore them in ruff
    "airflow/providers/common/sql/*/*.pyi",
    "tests/dags/test_imports.py",
]

namespace-packages = ["airflow/providers"]

[tool.ruff.lint]
typing-modules = ["airflow.typing_compat"]
extend-select = [
    # Enable entire ruff rule section
    "I", # Missing required import (auto-fixable)
    "UP", # Pyupgrade
    "ASYNC", # subset of flake8-async rules
    "ISC",  # Checks for implicit literal string concatenation (auto-fixable)
    "TCH", # Rules around TYPE_CHECKING blocks
    "G", # flake8-logging-format rules
    "LOG", # flake8-logging rules, most of them autofixable
    "PT", # flake8-pytest-style rules
    "TID25", # flake8-tidy-imports rules
    "E", # pycodestyle rules
    "W", # pycodestyle rules
    # Per rule enables
    "RUF006", # Checks for asyncio dangling task
    "RUF015", # Checks for unnecessary iterable allocation for first element
    "RUF019", # Checks for unnecessary key check
    "RUF100", # Unused noqa (auto-fixable)
    # We ignore more pydocstyle than we enable, so be more selective at what we enable
    "D1",
    "D2",
    "D213", # Conflicts with D212.  Both can not be enabled.
    "D3",
    "D400",
    "D401",
    "D402",
    "D403",
    "D412",
    "D419",
    "PGH004",  # Use specific rule codes when using noqa
    "PGH005", # Invalid unittest.mock.Mock methods/attributes/properties
    "S101", # Checks use `assert` outside the test cases, test cases should be added into the exclusions
    "B004", # Checks for use of hasattr(x, "__call__") and replaces it with callable(x)
    "B006", # Checks for uses of mutable objects as function argument defaults.
    "B007", # Checks for unused variables in the loop
    "B017", # Checks for pytest.raises context managers that catch Exception or BaseException.
    "B019", # Use of functools.lru_cache or functools.cache on methods can lead to memory leaks
    "B028", # No explicit stacklevel keyword argument found
    "TRY002", # Prohibit use of `raise Exception`, use specific exceptions instead.
]
ignore = [
    "D100", # Unwanted; Docstring at the top of every file.
    "D102", # TODO: Missing docstring in public method
    "D103", # TODO: Missing docstring in public function
    "D104", # Unwanted; Docstring at the top of every `__init__.py` file.
    "D105", # Unwanted; See https://lists.apache.org/thread/8jbg1dd2lr2cfydtqbjxsd6pb6q2wkc3
    "D107", # Unwanted; Docstring in every constructor is unnecessary if the class has a docstring.
    "D203",
    "D212", # Conflicts with D213.  Both can not be enabled.
    "D214",
    "D215",
    "E731", # Do not assign a lambda expression, use a def
    "TCH003", # Do not move imports from stdlib to TYPE_CHECKING block
    "PT004", # Fixture does not return anything, add leading underscore
    "PT005", # Fixture returns a value, remove leading underscore
    "PT006", # Wrong type of names in @pytest.mark.parametrize
    "PT007", # Wrong type of values in @pytest.mark.parametrize
    "PT011", # pytest.raises() is too broad, set the match parameter
    "PT019", # fixture without value is injected as parameter, use @pytest.mark.usefixtures instead
    # Rules below explicitly set off which could overlap with Ruff's formatter
    # as it recommended by https://docs.astral.sh/ruff/formatter/#conflicting-lint-rules
    # Except ISC rules
    "W191",
    "E111",
    "E114",
    "E117",
    "D206",
    "D300",
    "Q000",
    "Q001",
    "Q002",
    "Q003",
    "COM812",
    "COM819",
    "E501", # Formatted code may exceed the line length, leading to line-too-long (E501) errors.
]
unfixable = [
    # PT022 replace empty `yield` to empty `return`. Might be fixed with a combination of PLR1711
    # In addition, it can't do anything with invalid typing annotations, protected by mypy.
    "PT022",
]

[tool.ruff.format]
docstring-code-format = true

[tool.ruff.lint.isort]
required-imports = ["from __future__ import annotations"]
combine-as-imports = true

[tool.ruff.lint.per-file-ignores]
"airflow/__init__.py" = ["F401", "TCH004"]
"airflow/models/__init__.py" = ["F401", "TCH004"]
"airflow/models/sqla_models.py" = ["F401"]

# The test_python.py is needed because adding __future__.annotations breaks runtime checks that are
# needed for the test to work
"tests/decorators/test_python.py" = ["I002"]

# The Pydantic representations of SqlAlchemy Models are not parsed well with Pydantic
# when __future__.annotations is used so we need to skip them from upgrading
# Pydantic also require models to be imported during execution
"airflow/serialization/pydantic/*.py" = ["I002", "UP007", "TCH001"]

# Ignore pydoc style from these
"*.pyi" = ["D"]
"scripts/*" = ["D", "PT"]  # In addition ignore pytest specific rules
"docs/*" = ["D"]
"provider_packages/*" = ["D"]
"*/example_dags/*" = ["D"]
"chart/*" = ["D"]
"dev/*" = ["D"]
# In addition, ignore in tests
# TID253: Banned top level imports, e.g. pandas, numpy
# S101: Use `assert`
# TRY002: Use `raise Exception`
"dev/perf/*" = ["TID253"]
"dev/check_files.py" = ["S101"]
"dev/breeze/tests/*" = ["TID253", "S101", "TRY002"]
"tests/*" = ["D", "TID253", "S101", "TRY002"]
"docker_tests/*" = ["D", "TID253", "S101", "TRY002"]
"kubernetes_tests/*" = ["D", "TID253", "S101", "TRY002"]
"helm_tests/*" = ["D", "TID253", "S101", "TRY002"]

# All of the modules which have an extra license header (i.e. that we copy from another project) need to
# ignore E402 -- module level import not at top level
"scripts/ci/pre_commit/*.py" = ["E402"]
"airflow/api/auth/backend/kerberos_auth.py" = ["E402"]
"airflow/security/kerberos.py" = ["E402"]
"airflow/security/utils.py" = ["E402"]
"tests/providers/common/io/xcom/test_backend.py" = ["E402"]
"tests/providers/elasticsearch/log/elasticmock/__init__.py" = ["E402"]
"tests/providers/elasticsearch/log/elasticmock/utilities/__init__.py" = ["E402"]
"tests/providers/google/cloud/hooks/vertex_ai/test_batch_prediction_job.py" = ["E402"]
"tests/providers/google/cloud/hooks/vertex_ai/test_hyperparameter_tuning_job.py" = ["E402"]
"tests/providers/google/cloud/hooks/vertex_ai/test_auto_ml.py" = ["E402"]
"tests/providers/google/cloud/hooks/vertex_ai/test_custom_job.py" = ["E402"]
"tests/providers/google/cloud/hooks/vertex_ai/test_dataset.py" = ["E402"]
"tests/providers/google/cloud/hooks/vertex_ai/test_endpoint_service.py" = ["E402"]
"tests/providers/google/cloud/hooks/vertex_ai/test_generative_model.py" = ["E402"]
"tests/providers/google/cloud/hooks/vertex_ai/test_model_service.py" = ["E402"]
"tests/providers/google/cloud/hooks/vertex_ai/test_pipeline_job.py" = ["E402"]
"tests/providers/google/cloud/hooks/vertex_ai/test_prediction_service.py" = ["E402"]
"tests/providers/google/cloud/links/test_translate.py" = ["E402"]
"tests/providers/google/cloud/operators/test_automl.py"= ["E402"]
"tests/providers/google/cloud/operators/test_vertex_ai.py" = ["E402"]
"tests/providers/google/cloud/operators/vertex_ai/test_generative_model.py" = ["E402"]
"tests/providers/google/cloud/triggers/test_vertex_ai.py" = ["E402"]
"tests/providers/openai/hooks/test_openai.py" = ["E402"]
"tests/providers/openai/operators/test_openai.py" = ["E402"]
"tests/providers/qdrant/hooks/test_qdrant.py" = ["E402"]
"tests/providers/qdrant/operators/test_qdrant.py" = ["E402"]
"tests/providers/snowflake/operators/test_snowflake_sql.py" = ["E402"]

# All the modules which do not follow B028 yet: https://docs.astral.sh/ruff/rules/no-explicit-stacklevel/
"helm_tests/airflow_aux/test_basic_helm_chart.py" = ["B028"]

# https://github.com/apache/airflow/issues/39252
"airflow/providers/amazon/aws/hooks/eks.py" = ["W605"]

# Test compat imports banned imports to allow testing against older airflow versions
"tests/test_utils/compat.py" = ["TID251", "F401"]

[tool.ruff.lint.flake8-tidy-imports]
# Disallow all relative imports.
ban-relative-imports = "all"
# Ban certain modules from being imported at module level, instead requiring
# that they're imported lazily (e.g., within a function definition).
banned-module-level-imports = ["numpy", "pandas"]

[tool.ruff.lint.flake8-tidy-imports.banned-api]
# Direct import from the airflow package modules and constraints
"airflow.AirflowException".msg = "Use airflow.exceptions.AirflowException instead."
"airflow.Dataset".msg = "Use airflow.datasets.Dataset instead."
"airflow.PY36".msg = "Use sys.version_info >= (3, 6) instead."
"airflow.PY37".msg = "Use sys.version_info >= (3, 7) instead."
"airflow.PY38".msg = "Use sys.version_info >= (3, 8) instead."
"airflow.PY39".msg = "Use sys.version_info >= (3, 9) instead."
"airflow.PY310".msg = "Use sys.version_info >= (3, 10) instead."
"airflow.PY311".msg = "Use sys.version_info >= (3, 11) instead."
"airflow.PY312".msg = "Use sys.version_info >= (3, 12) instead."
# Deprecated imports
"airflow.models.baseoperator.BaseOperatorLink".msg = "Use airflow.models.baseoperatorlink.BaseOperatorLink"
"airflow.models.errors.ImportError".msg = "Use airflow.models.errors.ParseImportError"
"airflow.models.ImportError".msg = "Use airflow.models.errors.ParseImportError"
# Deprecated in Python 3.11, Pending Removal in Python 3.15: https://github.com/python/cpython/issues/90817
# Deprecation warning in Python 3.11 also recommends using locale.getencoding but it available in Python 3.11
"locale.getdefaultlocale".msg = "Use locale.setlocale() and locale.getlocale() instead."
# Deprecated in Python 3.12: https://github.com/python/cpython/issues/103857
"datetime.datetime.utcnow".msg = "Use airflow.utils.timezone.utcnow or datetime.datetime.now(tz=datetime.timezone.utc)"
"datetime.datetime.utcfromtimestamp".msg = "Use airflow.utils.timezone.from_timestamp or datetime.datetime.fromtimestamp(tz=datetime.timezone.utc)"
# Deprecated in Python 3.12: https://github.com/python/cpython/issues/94309
"typing.Hashable".msg = "Use collections.abc.Hashable"
"typing.Sized".msg = "Use collections.abc.Sized"
# Uses deprecated in Python 3.12 `datetime.datetime.utcfromtimestamp`
"pendulum.from_timestamp".msg = "Use airflow.utils.timezone.from_timestamp"
# Flask deprecations, worthwhile to keep it until we migrate to Flask 3.0+
"flask._app_ctx_stack".msg = "Deprecated in Flask 2.2, removed in Flask 3.0"
"flask._request_ctx_stack".msg = "Deprecated in Flask 2.2, removed in Flask 3.0"
"flask.escape".msg = "Use markupsafe.escape instead. Deprecated in Flask 2.3, removed in Flask 3.0"
"flask.Markup".msg = "Use markupsafe.Markup instead. Deprecated in Flask 2.3, removed in Flask 3.0"
"flask.signals_available".msg = "Signals are always available. Deprecated in Flask 2.3, removed in Flask 3.0"
# Use root logger by a mistake / IDE autosuggestion
# If for some reason root logger required it could obtained by logging.getLogger("root")
"logging.debug".msg = "Instantiate new `logger = logging.getLogger(__name__)` and use it instead of root logger"
"logging.info".msg = "Instantiate new `logger = logging.getLogger(__name__)` and use it instead of root logger"
"logging.warning".msg = "Instantiate new `logger = logging.getLogger(__name__)` and use it instead of root logger"
"logging.error".msg = "Instantiate new `logger = logging.getLogger(__name__)` and use it instead of root logger"
"logging.exception".msg = "Instantiate new `logger = logging.getLogger(__name__)` and use it instead of root logger"
"logging.fatal".msg = "Instantiate new `logger = logging.getLogger(__name__)` and use it instead of root logger"
"logging.critical".msg = "Instantiate new `logger = logging.getLogger(__name__)` and use it instead of root logger"
"logging.log".msg = "Instantiate new `logger = logging.getLogger(__name__)` and use it instead of root logger"
# unittest related restrictions
"unittest.TestCase".msg = "Use pytest compatible classes: https://docs.pytest.org/en/stable/getting-started.html#group-multiple-tests-in-a-class"
"unittest.skip".msg = "Use `pytest.mark.skip` instead: https://docs.pytest.org/en/stable/reference/reference.html#marks"
"unittest.skipIf".msg = "Use `pytest.mark.skipif` instead: https://docs.pytest.org/en/stable/reference/reference.html#marks"
"unittest.skipUnless".msg = "Use `pytest.mark.skipif` instead: https://docs.pytest.org/en/stable/reference/reference.html#marks"
"unittest.expectedFailure".msg = "Use `pytest.mark.xfail` instead: https://docs.pytest.org/en/stable/reference/reference.html#marks"
# Moved in SQLAlchemy 2.0
"sqlalchemy.ext.declarative.declarative_base".msg = "Use `sqlalchemy.orm.declarative_base`. Moved in SQLAlchemy 2.0"
"sqlalchemy.ext.declarative.as_declarative".msg = "Use `sqlalchemy.orm.as_declarative`. Moved in SQLAlchemy 2.0"
"sqlalchemy.ext.declarative.has_inherited_table".msg = "Use `sqlalchemy.orm.has_inherited_table`. Moved in SQLAlchemy 2.0"
"sqlalchemy.ext.declarative.synonym_for".msg = "Use `sqlalchemy.orm.synonym_for`. Moved in SQLAlchemy 2.0"

[tool.ruff.lint.flake8-type-checking]
exempt-modules = ["typing", "typing_extensions"]

[tool.ruff.lint.flake8-pytest-style]
mark-parentheses = false
fixture-parentheses = false

## pytest settings ##
[tool.pytest.ini_options]
addopts = [
    "-rasl",
    "--verbosity=2",
    # Disable `flaky` plugin for pytest. This plugin conflicts with `rerunfailures` because provide the same marker.
    "-p", "no:flaky",
    # Disable `nose` builtin plugin for pytest. This feature is deprecated in 7.2 and will be removed in pytest>=8
    "-p", "no:nose",
    # Disable support of a legacy `LocalPath` in favor of stdlib `pathlib.Path`.
    "-p", "no:legacypath",
    # Disable warnings summary, because we use our warning summary.
    "--disable-warnings",
    "--asyncio-mode=strict",
]
norecursedirs = [
    ".eggs",
    "airflow",
    "tests/_internals",
    "tests/dags_with_system_exit",
    "tests/test_utils",
    "tests/dags_corrupted",
    "tests/dags",
    "tests/system/providers/google/cloud/dataproc/resources",
    "tests/system/providers/google/cloud/gcs/resources",
]
log_level = "INFO"
filterwarnings = [
    "error::pytest.PytestCollectionWarning",
    "error::pytest.PytestReturnNotNoneWarning",
    # Avoid building cartesian product which might impact performance
    "error:SELECT statement has a cartesian product between FROM:sqlalchemy.exc.SAWarning:airflow",
    'error:Coercing Subquery object into a select\(\) for use in IN\(\):sqlalchemy.exc.SAWarning:airflow',
    'error:Class.*will not make use of SQL compilation caching',
    "ignore::DeprecationWarning:flask_appbuilder.filemanager",
    "ignore::DeprecationWarning:flask_appbuilder.widgets",
    # FAB do not support SQLAclhemy 2
    "ignore::sqlalchemy.exc.MovedIn20Warning:flask_appbuilder",
    # https://github.com/dpgaspar/Flask-AppBuilder/issues/2194
    "ignore::DeprecationWarning:marshmallow_sqlalchemy.convert",
    # https://github.com/dpgaspar/Flask-AppBuilder/pull/1940
    "ignore::DeprecationWarning:flask_sqlalchemy",
    # https://github.com/dpgaspar/Flask-AppBuilder/pull/1903
    "ignore::DeprecationWarning:apispec.utils",
    # Connexion 2 use different deprecated objects, this should be resolved into Connexion 3
    # https://github.com/spec-first/connexion/pull/1536
    'ignore::DeprecationWarning:connexion.spec',
    'ignore:jsonschema\.RefResolver:DeprecationWarning:connexion.json_schema',
    'ignore:jsonschema\.exceptions\.RefResolutionError:DeprecationWarning:connexion.json_schema',
    'ignore:Accessing jsonschema\.draft4_format_checker:DeprecationWarning:connexion.decorators.validation',
]
# We cannot add warnings from the airflow package into `filterwarnings`,
# because it invokes import airflow before we set up test environment which breaks the tests.
# Instead of that, we use a separate parameter and dynamically add it into `filterwarnings` marker.
forbidden_warnings = [
    "airflow.exceptions.RemovedInAirflow3Warning",
    "airflow.utils.context.AirflowContextDeprecationWarning",
    "airflow.exceptions.AirflowProviderDeprecationWarning",
]
python_files = [
    "test_*.py",
    "example_*.py",
]
testpaths = [
    "tests",
]
# Keep temporary directories (created by `tmp_path`) for 2 recent runs only failed tests.
tmp_path_retention_count = "2"
tmp_path_retention_policy = "failed"


## coverage.py settings ##
[tool.coverage.run]
branch = true
relative_files = true
source = ["airflow"]
omit = [
    "airflow/_vendor/**",
    "airflow/contrib/**",
    "airflow/example_dags/**",
    "airflow/migrations/**",
    "airflow/providers/**/example_dags/**",
    "airflow/www/node_modules/**",
    "airflow/providers/google/ads/_vendor/**",
]

[tool.coverage.report]
skip_empty = true
exclude_also = [
    "def __repr__",
    "raise AssertionError",
    "raise NotImplementedError",
    "if __name__ == .__main__.:",
    "@(abc\\.)?abstractmethod",
    "@(typing(_extensions)?\\.)?overload",
    "if (typing(_extensions)?\\.)?TYPE_CHECKING:"
]


## mypy settings ##
[tool.mypy]
ignore_missing_imports = true
no_implicit_optional = true
warn_redundant_casts = true
warn_unused_ignores = false
plugins = [
    "dev/mypy/plugin/decorators.py",
    "dev/mypy/plugin/outputs.py",
]
pretty = true
show_error_codes = true
disable_error_code = [
    "annotation-unchecked",
]

[[tool.mypy.overrides]]
module="airflow.config_templates.default_webserver_config"
disable_error_code = [
    "var-annotated",
]

[[tool.mypy.overrides]]
module="airflow.migrations.*"
ignore_errors = true

[[tool.mypy.overrides]]
module="airflow.*._vendor.*"
ignore_errors = true

[[tool.mypy.overrides]]
module= [
    "google.cloud.*",
    "azure.*",
]
no_implicit_optional = false

[[tool.mypy.overrides]]
module=[
    "referencing.*",
    # Beam has some old type annotations, and they introduced an error recently with bad signature of
    # a function. This is captured in https://github.com/apache/beam/issues/29927
    # and we should remove this exclusion when it is fixed.
    "apache_beam.*"
]
ignore_errors = true