4bb6685edb
Locks down AC1: prometheus-fastapi-instrumentator must keep auto-exposing http_requests_total and http_request_duration_seconds for application traffic, not just register the /metrics endpoint. Refs #652 Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
59 lines
2.4 KiB
Python
59 lines
2.4 KiB
Python
"""Tests for Prometheus metrics exposed by the OCR service.
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Each test that asserts on a counter/gauge value uses a fresh CollectorRegistry
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(see decision #3 on issue #652) to keep the metrics isolated between tests.
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"""
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from unittest.mock import AsyncMock, patch
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import pytest
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from httpx import ASGITransport, AsyncClient
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from PIL import Image
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from main import app
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@pytest.mark.asyncio
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async def test_metrics_endpoint_returns_200():
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"""`GET /metrics` returns 200 with Prometheus exposition content."""
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with patch("main.kraken_engine.load_models"), \
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patch("main.load_spell_checker"):
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async with AsyncClient(transport=ASGITransport(app=app), base_url="http://test") as client:
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response = await client.get("/metrics")
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assert response.status_code == 200
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assert "text/plain" in response.headers.get("content-type", "")
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@pytest.mark.asyncio
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async def test_metrics_includes_http_request_metrics_after_ocr_call():
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"""After a request to /ocr, `/metrics` exposes auto-instrumented http_* metrics."""
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mock_images = [Image.new("RGB", (100, 100))]
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mock_blocks = [{"pageNumber": 1, "x": 0.0, "y": 0.0, "width": 1.0, "height": 1.0,
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"polygon": None, "text": "hi", "words": []}]
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with patch("main.kraken_engine.load_models"), \
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patch("main.load_spell_checker"), \
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patch("main._download_and_convert_pdf", new_callable=AsyncMock, return_value=mock_images), \
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patch("main.preprocess_page", side_effect=lambda img: img), \
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patch("main.surya_engine.extract_blocks", return_value=mock_blocks):
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async with AsyncClient(transport=ASGITransport(app=app), base_url="http://test") as client:
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# Models need to be loaded for /ocr to accept requests; force the flag.
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import main as main_module
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main_module._models_ready = True
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try:
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ocr_response = await client.post("/ocr", json={
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"pdfUrl": "http://minio/doc.pdf",
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"scriptType": "TYPEWRITER",
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"language": "de",
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})
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assert ocr_response.status_code == 200, ocr_response.text
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metrics_response = await client.get("/metrics")
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finally:
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main_module._models_ready = False
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body = metrics_response.text
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assert "http_requests_total" in body
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assert "http_request_duration_seconds" in body
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