Bruno Charest
cc99fea20a
- Implement tests for database generator to ensure proper session handling. - Create tests for EXIF extraction and conversion functions. - Add tests for image-related endpoints, ensuring proper data retrieval and isolation between clients. - Develop tests for OCR functionality, including language detection and text extraction. - Introduce tests for the image processing pipeline, covering success and failure scenarios. - Validate rate limiting functionality and ensure independent counters for different clients. - Implement scraper tests to verify HTML content fetching and error handling. - Add unit tests for various services, including storage and filename generation. - Establish worker entry point for ARQ to handle background image processing tasks.
63 lines
2.0 KiB
Python
63 lines
2.0 KiB
Python
"""
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Métriques Prometheus custom pour le hub d'images.
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Exposed via /metrics par prometheus-fastapi-instrumentator.
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"""
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from prometheus_client import Counter, Histogram, Gauge
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# ── Images ────────────────────────────────────────────────────
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hub_images_uploaded = Counter(
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"hub_images_uploaded_total",
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"Nombre total d'images uploadées",
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["client_plan"],
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)
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hub_images_deleted = Counter(
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"hub_images_deleted_total",
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"Nombre total d'images supprimées",
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)
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# ── Pipeline ──────────────────────────────────────────────────
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hub_pipeline_duration = Histogram(
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"hub_pipeline_duration_seconds",
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"Durée du pipeline de traitement complet",
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buckets=[1, 5, 10, 30, 60, 120, 300],
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)
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hub_pipeline_step_duration = Histogram(
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"hub_pipeline_step_duration_seconds",
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"Durée de chaque étape du pipeline",
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["step"],
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buckets=[0.1, 0.5, 1, 5, 10, 30, 60],
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)
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hub_pipeline_errors = Counter(
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"hub_pipeline_errors_total",
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"Nombre d'erreurs pipeline",
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["step"],
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)
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# ── Storage ───────────────────────────────────────────────────
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hub_storage_used_bytes = Gauge(
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"hub_storage_used_bytes",
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"Espace de stockage utilisé par client",
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["client_id"],
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)
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# ── ARQ ───────────────────────────────────────────────────────
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hub_arq_jobs_enqueued = Counter(
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"hub_arq_jobs_enqueued_total",
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"Nombre de jobs ARQ enfilés",
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["queue"],
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)
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hub_arq_jobs_completed = Counter(
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"hub_arq_jobs_completed_total",
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"Nombre de jobs ARQ terminés",
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)
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hub_arq_jobs_failed = Counter(
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"hub_arq_jobs_failed_total",
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"Nombre de jobs ARQ échoués",
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)
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