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# 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. | ||
from __future__ import annotations | ||
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from typing import TYPE_CHECKING | ||
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import pytest | ||
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from airflow.decorators import task | ||
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if TYPE_CHECKING: | ||
from airflow.decorators.base import Task, TaskDecorator | ||
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_CONDITION_DECORATORS = frozenset({"skip_if", "run_if"}) | ||
_NO_SOURCE_DECORATORS = frozenset({"sensor"}) | ||
DECORATORS = sorted( | ||
set(x for x in dir(task) if not x.startswith("_")) - _CONDITION_DECORATORS - _NO_SOURCE_DECORATORS | ||
) | ||
DECORATORS_USING_SOURCE = ("external_python", "virtualenv", "branch_virtualenv", "branch_external_python") | ||
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@pytest.fixture | ||
def decorator(request: pytest.FixtureRequest) -> TaskDecorator: | ||
decorator_factory = getattr(task, request.param) | ||
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kwargs = {} | ||
if "external" in request.param: | ||
kwargs["python"] = "python3" | ||
return decorator_factory(**kwargs) | ||
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@pytest.mark.parametrize("decorator", DECORATORS_USING_SOURCE, indirect=["decorator"]) | ||
def test_task_decorator_using_source(decorator: TaskDecorator): | ||
@decorator | ||
def f(): | ||
return ["some_task"] | ||
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assert parse_python_source(f, "decorator") == 'def f():\n return ["some_task"]\n' | ||
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@pytest.mark.parametrize("decorator", DECORATORS, indirect=["decorator"]) | ||
def test_skip_if(decorator: TaskDecorator): | ||
@task.skip_if(lambda context: True) | ||
@decorator | ||
def f(): | ||
return "hello world" | ||
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assert parse_python_source(f, "decorator") == 'def f():\n return "hello world"\n' | ||
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@pytest.mark.parametrize("decorator", DECORATORS, indirect=["decorator"]) | ||
def test_run_if(decorator: TaskDecorator): | ||
@task.run_if(lambda context: True) | ||
@decorator | ||
def f(): | ||
return "hello world" | ||
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assert parse_python_source(f, "decorator") == 'def f():\n return "hello world"\n' | ||
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def test_skip_if_and_run_if(): | ||
@task.skip_if(lambda context: True) | ||
@task.run_if(lambda context: True) | ||
@task.virtualenv() | ||
def f(): | ||
return "hello world" | ||
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assert parse_python_source(f) == 'def f():\n return "hello world"\n' | ||
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def test_run_if_and_skip_if(): | ||
@task.run_if(lambda context: True) | ||
@task.skip_if(lambda context: True) | ||
@task.virtualenv() | ||
def f(): | ||
return "hello world" | ||
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assert parse_python_source(f) == 'def f():\n return "hello world"\n' | ||
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def test_skip_if_allow_decorator(): | ||
def non_task_decorator(func): | ||
return func | ||
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@task.skip_if(lambda context: True) | ||
@task.virtualenv() | ||
@non_task_decorator | ||
def f(): | ||
return "hello world" | ||
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assert parse_python_source(f) == '@non_task_decorator\ndef f():\n return "hello world"\n' | ||
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def test_run_if_allow_decorator(): | ||
def non_task_decorator(func): | ||
return func | ||
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@task.run_if(lambda context: True) | ||
@task.virtualenv() | ||
@non_task_decorator | ||
def f(): | ||
return "hello world" | ||
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assert parse_python_source(f) == '@non_task_decorator\ndef f():\n return "hello world"\n' | ||
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def parse_python_source(task: Task, custom_operator_name: str | None = None) -> str: | ||
operator = task().operator | ||
if custom_operator_name: | ||
custom_operator_name = ( | ||
custom_operator_name if custom_operator_name.startswith("@") else f"@{custom_operator_name}" | ||
) | ||
operator.__dict__["custom_operator_name"] = custom_operator_name | ||
return operator.get_python_source() |