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252 lines
8.1 KiB
Python
252 lines
8.1 KiB
Python
# Licensed to the Apache Software Foundation (ASF) under one
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# or more contributor license agreements. See the NOTICE file
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# distributed with this work for additional information
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# regarding copyright ownership. The ASF licenses this file
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# to you under the Apache License, Version 2.0 (the
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# "License"); you may not use this file except in compliance
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# with the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing,
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# software distributed under the License is distributed on an
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# KIND, either express or implied. See the License for the
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# specific language governing permissions and limitations
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# under the License.
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import uuid
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from contextlib import nullcontext
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from inspect import isclass
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from typing import Any, Optional
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from unittest.mock import call, Mock, patch
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import pytest
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from superset import app
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from superset.utils import decorators
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from superset.utils.backports import StrEnum
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class ResponseValues(StrEnum):
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FAIL = "fail"
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WARN = "warn"
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OK = "ok"
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def test_debounce() -> None:
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mock = Mock()
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@decorators.debounce()
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def myfunc(arg1: int, arg2: int, kwarg1: str = "abc", kwarg2: int = 2) -> int:
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mock(arg1, kwarg1)
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return arg1 + arg2 + kwarg2
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# should be called only once when arguments don't change
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myfunc(1, 1)
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myfunc(1, 1)
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result = myfunc(1, 1)
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mock.assert_called_once_with(1, "abc")
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assert result == 4
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# kwarg order shouldn't matter
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myfunc(1, 0, kwarg2=2, kwarg1="haha")
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result = myfunc(1, 0, kwarg1="haha", kwarg2=2)
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mock.assert_has_calls([call(1, "abc"), call(1, "haha")])
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assert result == 3
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@pytest.mark.parametrize(
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"response_value, expected_exception, expected_result",
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[
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(ResponseValues.OK, None, "custom.prefix.ok"),
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(ResponseValues.FAIL, ValueError, "custom.prefix.error"),
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(ResponseValues.WARN, FileNotFoundError, "custom.prefix.warn"),
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],
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)
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def test_statsd_gauge(
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response_value: str, expected_exception: Optional[Exception], expected_result: str
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) -> None:
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@decorators.statsd_gauge("custom.prefix")
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def my_func(response: ResponseValues, *args: Any, **kwargs: Any) -> str:
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if response == ResponseValues.FAIL:
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raise ValueError("Error")
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if response == ResponseValues.WARN:
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raise FileNotFoundError("Not found")
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return "OK"
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with patch.object(app.config["STATS_LOGGER"], "gauge") as mock:
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cm = (
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pytest.raises(expected_exception)
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if isclass(expected_exception) and issubclass(expected_exception, Exception)
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else nullcontext()
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)
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with cm:
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my_func(response_value, 1, 2)
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mock.assert_called_once_with(expected_result, 1)
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@patch("superset.utils.decorators.g")
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def test_context_decorator(flask_g_mock) -> None:
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@decorators.logs_context()
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def myfunc(*args, **kwargs) -> str:
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return "test"
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@decorators.logs_context(slice_id=1, dashboard_id=1, execution_id=uuid.uuid4())
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def myfunc_with_kwargs(*args, **kwargs) -> str:
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return "test"
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@decorators.logs_context(bad_context=1)
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def myfunc_with_dissallowed_kwargs(*args, **kwargs) -> str:
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return "test"
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@decorators.logs_context(
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context_func=lambda *args, **kwargs: {"slice_id": kwargs["chart_id"]}
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)
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def myfunc_with_context(*args, **kwargs) -> str:
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return "test"
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### should not add any data to the global.logs_context scope
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flask_g_mock.logs_context = {}
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myfunc(1, 1)
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assert flask_g_mock.logs_context == {}
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### should add dashboard_id to the global.logs_context scope
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flask_g_mock.logs_context = {}
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myfunc(1, 1, dashboard_id=1)
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assert flask_g_mock.logs_context == {"dashboard_id": 1}
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### should add slice_id to the global.logs_context scope
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flask_g_mock.logs_context = {}
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myfunc(1, 1, slice_id=1)
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assert flask_g_mock.logs_context == {"slice_id": 1}
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### should add execution_id to the global.logs_context scope
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flask_g_mock.logs_context = {}
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myfunc(1, 1, execution_id=1)
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assert flask_g_mock.logs_context == {"execution_id": 1}
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### should add all three to the global.logs_context scope
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flask_g_mock.logs_context = {}
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myfunc(1, 1, dashboard_id=1, slice_id=1, execution_id=1)
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assert flask_g_mock.logs_context == {
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"dashboard_id": 1,
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"slice_id": 1,
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"execution_id": 1,
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}
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### should overwrite existing values in the global.logs_context scope
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flask_g_mock.logs_context = {"dashboard_id": 2, "slice_id": 2, "execution_id": 2}
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myfunc(1, 1, dashboard_id=3, slice_id=3, execution_id=3)
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assert flask_g_mock.logs_context == {
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"dashboard_id": 3,
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"slice_id": 3,
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"execution_id": 3,
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}
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### Test when g.logs_context already exists
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flask_g_mock.logs_context = {"slice_id": 2, "dashboard_id": 2}
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args = (3, 4)
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kwargs = {"slice_id": 3, "dashboard_id": 3}
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myfunc(*args, **kwargs)
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assert flask_g_mock.logs_context == {"slice_id": 3, "dashboard_id": 3}
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### Test when kwargs contain additional keys
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flask_g_mock.logs_context = {}
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args = (1, 2)
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kwargs = {
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"slice_id": 1,
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"dashboard_id": 1,
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"dataset_id": 1,
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"execution_id": 1,
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"report_schedule_id": 1,
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"extra_key": 1,
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}
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myfunc(*args, **kwargs)
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assert flask_g_mock.logs_context == {
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"slice_id": 1,
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"dashboard_id": 1,
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"dataset_id": 1,
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"execution_id": 1,
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"report_schedule_id": 1,
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}
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### should not add a value that does not exist in the global.logs_context scope
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flask_g_mock.logs_context = {}
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myfunc_with_dissallowed_kwargs()
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assert flask_g_mock.logs_context == {}
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### should be able to add values to the decorator function directly
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flask_g_mock.logs_context = {}
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myfunc_with_kwargs()
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assert flask_g_mock.logs_context["dashboard_id"] == 1
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assert flask_g_mock.logs_context["slice_id"] == 1
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assert isinstance(flask_g_mock.logs_context["execution_id"], uuid.UUID)
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### should be able to add values to the decorator function directly
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# and it will overwrite any kwargs passed into the decorated function
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flask_g_mock.logs_context = {}
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myfunc_with_kwargs(execution_id=4)
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assert flask_g_mock.logs_context["dashboard_id"] == 1
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assert flask_g_mock.logs_context["slice_id"] == 1
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assert isinstance(flask_g_mock.logs_context["execution_id"], uuid.UUID)
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### should be able to pass a callable context to the decorator
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flask_g_mock.logs_context = {}
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myfunc_with_context(chart_id=1)
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assert flask_g_mock.logs_context == {"slice_id": 1}
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### Test when context_func returns additional keys
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# it should use the context_func values
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flask_g_mock.logs_context = {}
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args = (1, 2)
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kwargs = {"slice_id": 1, "dashboard_id": 1}
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@decorators.logs_context(
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context_func=lambda *args, **kwargs: {
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"slice_id": 2,
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"dashboard_id": 2,
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"dataset_id": 2,
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"execution_id": 2,
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"report_schedule_id": 2,
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"extra_key": 2,
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}
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)
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def myfunc_with_extra_keys_context(*args, **kwargs) -> str:
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return "test"
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myfunc_with_extra_keys_context(
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*args,
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**kwargs,
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)
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assert flask_g_mock.logs_context == {
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"slice_id": 2,
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"dashboard_id": 2,
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"dataset_id": 2,
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"execution_id": 2,
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"report_schedule_id": 2,
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}
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### Test when context_func does not return a dictionary
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flask_g_mock.logs_context = {}
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@decorators.logs_context(context_func=lambda: "foo") # type: ignore
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def myfunc_with_bad_return_value() -> str:
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return "test"
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myfunc_with_bad_return_value()
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assert flask_g_mock.logs_context == {}
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### Test when context_func is not callable
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flask_g_mock.logs_context = {}
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@decorators.logs_context(context_func="foo") # type: ignore
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def context_func_not_callable() -> str:
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return "test"
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context_func_not_callable()
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assert flask_g_mock.logs_context == {}
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