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52 lines
1.8 KiB
Python
52 lines
1.8 KiB
Python
"""Fixtures for Celery worker smoke tests.
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These tests exercise the task *bodies* in ``application.worker`` against a
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real Postgres schema (via the ephemeral ``pg_conn`` fixture from the root
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``tests/conftest.py``). External I/O — storage, the embedding pipeline,
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the retriever, the LLM, the backend HTTP callback — is mocked, but every
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PG write is allowed to hit the real ephemeral DB so the assertions can
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read the resulting rows back.
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"""
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from __future__ import annotations
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from contextlib import contextmanager
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from typing import Iterator
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from unittest.mock import MagicMock
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import pytest
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from sqlalchemy import Connection
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@pytest.fixture
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def patch_worker_db(pg_conn, monkeypatch):
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"""Redirect ``db_session`` / ``db_readonly`` in ``application.worker``.
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Both helpers yield the per-test transactional ``pg_conn``, so any
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writes a task performs are visible to the test and roll back on
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teardown. Without this patch the worker would open its own pooled
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engine and punch past the per-test transaction.
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"""
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@contextmanager
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def _use_pg_conn() -> Iterator[Connection]:
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yield pg_conn
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monkeypatch.setattr("application.worker.db_session", _use_pg_conn)
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monkeypatch.setattr("application.worker.db_readonly", _use_pg_conn)
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@pytest.fixture
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def task_self():
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"""Minimal stand-in for the Celery task ``self`` passed to workers.
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``update_state`` and ``request.retries`` are the only attributes the
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worker bodies touch in our tests. Defaulting ``retries`` to 0 makes
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every fixture instance behave like a fresh first attempt, which is
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what the queued-event publishes are gated on. Tests covering the
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retry path override this to a positive int.
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"""
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task = MagicMock(name="celery_task_self")
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task.request.retries = 0
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return task
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