feat(ocr): add metrics.py factory with test-scoped CollectorRegistry support

Encapsulates every custom OCR metric in an OcrMetrics frozen dataclass and
exposes a `build_metrics(registry)` factory. Production main.py binds against
the default REGISTRY; tests construct a fresh CollectorRegistry per case and
monkeypatch main.metrics, so counter values stay isolated between tests
(decision #3 on issue #652, Option A).

Refs #652

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
Marcel
2026-05-21 16:02:20 +02:00
parent 4bb6685edb
commit f3e3545d06
3 changed files with 131 additions and 0 deletions

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@@ -20,9 +20,11 @@ import pypdfium2 as pdfium
from fastapi import FastAPI, Form, Header, HTTPException, UploadFile
from fastapi.responses import StreamingResponse
from PIL import Image
from prometheus_client import REGISTRY
from prometheus_fastapi_instrumentator import Instrumentator
from confidence import apply_confidence_markers, get_threshold
from metrics import OcrMetrics, build_metrics
from spell_check import correct_text, load_spell_checker
from engines import kraken as kraken_engine
from engines import surya as surya_engine
@@ -38,6 +40,8 @@ logger = logging.getLogger(__name__)
_models_ready = False
metrics: OcrMetrics = build_metrics(REGISTRY)
ALLOWED_PDF_HOSTS = set(
h.strip() for h in os.getenv("ALLOWED_PDF_HOSTS", "minio,localhost,127.0.0.1").split(",")
)

92
ocr-service/metrics.py Normal file
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@@ -0,0 +1,92 @@
"""Prometheus metric definitions for the OCR service.
`build_metrics(registry)` returns a fresh `OcrMetrics` instance bound to the
given `CollectorRegistry`. Production code calls it once at module load with
the default `REGISTRY`; tests pass a per-test `CollectorRegistry()` to keep
counter values isolated between cases (decision #3 on issue #652).
"""
from __future__ import annotations
from dataclasses import dataclass
from prometheus_client import CollectorRegistry, Counter, Gauge, Histogram
@dataclass(frozen=True)
class OcrMetrics:
"""Container for every custom OCR metric.
Counters and gauges are immutable references to `prometheus_client`
instances. Mutating them (`.inc()`, `.observe()`, `.set()`) is safe;
rebinding the field on the dataclass is not — use `build_metrics` to get
a new container.
"""
ocr_jobs_total: Counter
ocr_pages_total: Counter
ocr_skipped_pages_total: Counter
ocr_words_total: Counter
ocr_illegible_words_total: Counter
ocr_processing_seconds: Histogram
ocr_training_runs_total: Counter
ocr_model_accuracy: Gauge
ocr_models_ready: Gauge
def build_metrics(registry: CollectorRegistry) -> OcrMetrics:
"""Create one OcrMetrics instance bound to `registry`."""
return OcrMetrics(
ocr_jobs_total=Counter(
"ocr_jobs_total",
"Number of OCR jobs processed, labelled by engine and script type.",
["engine", "script_type"],
registry=registry,
),
ocr_pages_total=Counter(
"ocr_pages_total",
"Number of pages successfully OCR'd, labelled by engine.",
["engine"],
registry=registry,
),
ocr_skipped_pages_total=Counter(
"ocr_skipped_pages_total",
"Number of pages skipped because the OCR engine raised.",
registry=registry,
),
ocr_words_total=Counter(
"ocr_words_total",
"Number of words recognized across all OCR blocks.",
registry=registry,
),
ocr_illegible_words_total=Counter(
"ocr_illegible_words_total",
"Number of words below the confidence threshold "
"(replaced with [unleserlich]).",
registry=registry,
),
ocr_processing_seconds=Histogram(
"ocr_processing_seconds",
"OCR processing time per page (streaming) or per document (non-streaming).",
["engine"],
registry=registry,
),
ocr_training_runs_total=Counter(
"ocr_training_runs_total",
"Number of training runs, labelled by kind (recognition|segmentation) "
"and outcome (success|error).",
["kind", "outcome"],
registry=registry,
),
ocr_model_accuracy=Gauge(
"ocr_model_accuracy",
"Latest model accuracy reported by a successful training run.",
["kind"],
registry=registry,
),
ocr_models_ready=Gauge(
"ocr_models_ready",
"1 once the lifespan startup has finished loading models, 0 before.",
registry=registry,
),
)

View File

@@ -9,8 +9,19 @@ from unittest.mock import AsyncMock, patch
import pytest
from httpx import ASGITransport, AsyncClient
from PIL import Image
from prometheus_client import CollectorRegistry
from main import app
from metrics import build_metrics
@pytest.fixture
def fresh_metrics(monkeypatch):
"""Replace the module-level `main.metrics` with one bound to a fresh registry."""
registry = CollectorRegistry()
test_metrics = build_metrics(registry)
monkeypatch.setattr("main.metrics", test_metrics)
return test_metrics
@pytest.mark.asyncio
@@ -56,3 +67,27 @@ async def test_metrics_includes_http_request_metrics_after_ocr_call():
body = metrics_response.text
assert "http_requests_total" in body
assert "http_request_duration_seconds" in body
def test_build_metrics_registers_all_custom_metrics_on_given_registry():
"""`build_metrics` returns an OcrMetrics bound to the supplied registry."""
registry = CollectorRegistry()
metrics = build_metrics(registry)
metric_names = {m.name for m in registry.collect()}
expected = {
"ocr_jobs",
"ocr_pages",
"ocr_skipped_pages",
"ocr_words",
"ocr_illegible_words",
"ocr_processing_seconds",
"ocr_training_runs",
"ocr_model_accuracy",
"ocr_models_ready",
}
assert expected <= metric_names, f"missing: {expected - metric_names}"
# A second registry yields a separate container — no shared state.
other_metrics = build_metrics(CollectorRegistry())
assert metrics is not other_metrics