m2 (AI Agent)
6da874b2e6
Phase 1: router skeleton + Qdrant read path - FastAPI app with /health, /search/generic, /ingest endpoints - Qdrant reader (hybrid dense+sparse w/ RRF, plus payload scroll) - BGE-M3 TEI client for query-side embedding - memory-api client proxying writes to /memory/store (m2-memory untouched) - Pydantic Fact + Exemplar payloads, discriminated by `kind` - Dockerfile + docker-compose joining the coolify Docker network Phase 2: authoritative-source ingest pipeline - PDF text extraction + paragraph-aware (§ N) and size chunkers - Loaders for bnatschg, mhbasp, biotopwertliste, state-<slug> - CLI: artenschutz-ingest --source <name> [--states ...] [--dry-run] - Helper script to fetch BNatSchG from gesetze-im-internet.de - End-to-end smoke script (scripts/smoke.sh) for Coolify validation 22/22 unit tests pass. Real-world dry-runs verified against mhbasp Anhang 4, biotopwertlisteNEU and Berlin Kartierstandards PDFs from GST-DATA. See COOLIFY-DEPLOY.md for staging deploy + smoke procedure.
24 lines
658 B
YAML
24 lines
658 B
YAML
# Local dev compose. Joins the existing Coolify "coolify" network so it can
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# resolve memory-qdrant / memory-embeddings / memory-api by container name.
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# If those services aren't reachable, override the *_URL env vars in .env.
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services:
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artenschutz-router:
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build: .
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container_name: artenschutz-router
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env_file:
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- .env
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ports:
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- "8080:8080"
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networks:
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- coolify
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restart: unless-stopped
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healthcheck:
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test: ["CMD", "python", "-c", "import urllib.request; urllib.request.urlopen('http://localhost:8080/health')"]
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interval: 30s
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timeout: 5s
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retries: 3
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networks:
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coolify:
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external: true
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