Image vector embedding
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@@ -380,6 +380,29 @@ USE_PLAYWRIGHT_FALLBACK = _bool("USE_PLAYWRIGHT_FALLBACK", "true")
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# out 1x1 tracking pixels / broken placeholder images)
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MIN_IMAGE_BYTES = int(os.getenv("MIN_IMAGE_BYTES", "3000"))
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# ---------------------------------------------------------------------------
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# img_vector - a 32x32 RGB pixel thumbnail of each product's primary image,
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# stored on its brand table (app/services/image_vector.py)
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# ---------------------------------------------------------------------------
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# Computed off the request path by one bounded worker thread after every
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# catalog write, and by scripts/backfill_image_vectors.py for existing rows.
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# Default on: the work is one small download per row just written, never on
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# a request. tests/conftest.py pins it OFF so the suite never dials the
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# database named in a developer's .env.
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ENABLE_IMAGE_VECTORS = _bool("ENABLE_IMAGE_VECTORS", "true")
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# A download past this many bytes is abandoned - a wrong URL to a video must
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# not fill the container.
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IMAGE_VECTOR_MAX_BYTES = int(os.getenv("IMAGE_VECTOR_MAX_BYTES", str(8 * 1024 * 1024)))
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# Refused before decoding when the header claims more pixels than this
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# (decompression-bomb guard; 40MP is well past any product photo).
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IMAGE_VECTOR_MAX_PIXELS = int(os.getenv("IMAGE_VECTOR_MAX_PIXELS", "40000000"))
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IMAGE_VECTOR_TIMEOUT_SECONDS = float(os.getenv("IMAGE_VECTOR_TIMEOUT_SECONDS", "15"))
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# Minimum gap between two requests to the same image host.
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IMAGE_VECTOR_HOST_PAUSE_SECONDS = float(os.getenv("IMAGE_VECTOR_HOST_PAUSE_SECONDS", "0.5"))
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# Writes waiting for the worker; beyond this a write's rows are left for the
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# backfill script rather than queued.
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IMAGE_VECTOR_QUEUE_MAX = int(os.getenv("IMAGE_VECTOR_QUEUE_MAX", "64"))
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# ---------------------------------------------------------------------------
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# USDA FoodData Central - nutrition for loose, unbranded commodities
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# ---------------------------------------------------------------------------
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