Backend upload-automation file
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38
.env.example
38
.env.example
@@ -179,8 +179,46 @@ BATCH_RETENTION_DAYS=7
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# waits for someone to press Resume. Auto-resuming means a container stuck in a
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# restart loop re-runs the heaviest work in the app on every boot, which is how
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# a slow start becomes an unrecoverable spiral.
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#
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# Worth knowing alongside UPLOAD_AUTORUN below: with uploads running unattended,
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# a redeploy in the middle of one leaves that batch "interrupted" and waiting
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# for a human. It is the one place manual intervention comes back.
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BATCH_AUTO_RESUME=false
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# ---------------------------------------------------------------------------
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# Unattended ingestion
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# ---------------------------------------------------------------------------
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# Whether POST /api/uploads/catalog runs the pipeline on arrival (true) or parks
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# the files in the admin review inbox for someone to start by hand (false).
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#
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# READ THIS BEFORE CHANGING IT. That endpoint takes NO credential - it was
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# opened on purpose so colleagues could send spreadsheets without one being
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# issued to them. With autorun on, "anyone who can reach this host" and "anyone
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# who can write to the live catalogue" are the same set of people, and an ingest
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# is an upsert with no undo.
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#
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# What still bounds it is throughput, not identity: the per-request ceilings
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# above, and BATCH_QUEUE_MAX behind a single worker. A sender can occupy the
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# ingestion worker; they cannot multiply it.
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#
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# Set false and the review inbox comes back with no code change - the INBOX_*
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# ceilings below apply only on that path.
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UPLOAD_AUTORUN=true
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# How an auto-started run behaves. Deliberately NOT accepted from the request:
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# the sender is anonymous, and letting an anonymous caller switch on the
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# expensive outbound stages is the one thing this endpoint must not allow.
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#
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# Images on, because a product landing without one is the failure this endpoint
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# exists to avoid. Stage 6 is the slowest stage and reaches the network, but
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# only one batch runs at a time, so nothing else competes with it.
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#
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# LLM off, because use_llm gates only description generation in stage 2, and
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# production runs USE_OLLAMA=false - turning it on there buys nothing and costs
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# a connection timeout per row.
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UPLOAD_AUTORUN_FETCH_IMAGES=true
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UPLOAD_AUTORUN_USE_LLM=false
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USE_OLLAMA=true
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OLLAMA_BASE_URL=http://localhost:11434
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OLLAMA_MODEL_NAME=qwen2.5:1.5b
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