ashb commented on code in PR #73327:
URL: https://github.com/apache/airflow/pull/73327#discussion_r4228279886
##########
airflow-core/src/airflow/jobs/triggerer_job_runner.py:
##########
@@ -584,7 +577,7 @@ def make_client(self) -> Client:
"""
from airflow.sdk.api.client import Client
- client = Client(base_url=None, token="", dry_run=True,
transport=in_process_api_server().transport)
+ client = Client(base_url=None, token="", dry_run=True,
transport=InProcessExecutionAPI().transport)
Review Comment:
Ditto about create_task_execution_api_app
##########
airflow-core/tests/unit/api_fastapi/execution_api/test_in_process.py:
##########
@@ -0,0 +1,56 @@
+# 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
+
+import subprocess
+import sys
+
+import pytest
+
+
[email protected](
+ "create_instance",
+ [
+ "from airflow.api_fastapi.execution_api.in_process import
InProcessExecutionAPI; "
+ "api = InProcessExecutionAPI(); ",
+ "from airflow.dag_processing.manager import DagFileProcessorManager; "
+ "manager = DagFileProcessorManager(max_runs=1); ",
+ ],
+ ids=["in_process_api", "dag_processor_manager"],
+)
+def test_construction_defers_execution_api_imports(create_instance):
Review Comment:
This seems like an expensive test. I wonder if there are other ways we could
do it that doesn't involve loading a full copy of Airflow?
At the very least, this proc should set the "airflow as library" env to
speed up
##########
airflow-core/src/airflow/dag_processing/manager.py:
##########
@@ -304,7 +294,7 @@ class DagFileProcessorManager(LoggingMixin):
)
"""Resolved once per process so file discovery and the deactivation scan
use the same value."""
- _api_server: InProcessExecutionAPI = attrs.field(init=False,
factory=_make_execution_api)
+ _api_server: InProcessExecutionAPI = attrs.field(init=False,
factory=InProcessExecutionAPI)
Review Comment:
Is there a reason this didn't/shouldn't-now use
`create_task_execution_api_app()`
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