ac40e05734
Image rebuild (skip scrape) / build (push) Failing after 7s
Sibling project to crop-chem-docs, same MCP-template lineage. Corpus is
seed/hybrid varieties across 6 vendors instead of pesticide labels.
What's customized vs. the template:
- CLAUDE.md: vendor matrix, build priority, Pioneer fallback policy,
canonical sidecar schema (per-crop), Golden Harvest disease-scale
reversal gotcha, no-IPv6 / HTTPS-clone note
- README.md: vendor coverage table, tool list, phase status
- Dockerfile: PRODUCT_NAME=crop_seed default, sources.json (not
bundles.json), HYBRID_SEARCH=true, OLLAMA_URL + RERANK_URL Docker
DNS defaults (same llama-rerank sidecar as crop-chem-docs)
- .gitea/workflows/refresh.yml: monthly cron (seed catalogs move
slowly), 5 GREEN scraper steps, corpus-YYYY.MM.DD tag for Drawbar
pinning, continue-on-error on GC step
- .gitea/workflows/image-only.yml: paths filter + cancel-in-progress
concurrency group
- scripts/registry_gc.py: lifted from crop-chem-docs (correct Gitea
packages API URL + UA header to bypass CF block on default
Python-urllib UA)
- sources.json: catalog of 6 sources + scope_filter + per-source
schema notes + Pioneer-exclusion rationale
- scrape/runner.py: dispatcher with --all = GREEN-only
- scrape/sources/{bayer_seeds,golden_harvest,nk,agripro,becks_pfr,
becks_products}.py: stub modules with implementation notes
- docs_mcp/server.py: PRODUCT_NAME default → crop_seed,
PRODUCT_DOCS_URL → repo URL
Pioneer is intentionally NOT a source. ToS bans automation; dealer
locator is login-gated. The MCP returns a curated fallback lesson
directing the user to pioneer.com.
Next phases:
- Phase 1: implement bayer_seeds (lift-and-shift from crop-chem-docs
Bayer scraper; same __NEXT_DATA__ infra)
- Phase 7: curate eval/queries.jsonl
- Phase 11: lessons.md with Pioneer fallback + disease-scale notes
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
112 lines
3.7 KiB
YAML
112 lines
3.7 KiB
YAML
# Hosting stack for a docs MCP server.
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#
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# Replace <product> below with your product name on first deploy.
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# Volumes: usage logs are mounted to a host path so they survive
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# Watchtower-driven container recreates.
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#
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# This template assumes a reverse proxy / Cloudflare Tunnel terminates
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# TLS in front of port 8000. Adjust if your infra differs.
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services:
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# The MCP server. Watchtower auto-pulls on :latest changes.
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<product>-docs-mcp:
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image: <registry>/<owner>/<product>-docs-mcp:latest
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container_name: <product>-docs-mcp
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restart: unless-stopped
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ports:
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- "8000:8000"
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environment:
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PRODUCT_NAME: "<product>"
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PRODUCT_DOCS_URL: "https://docs.example.com"
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# Streamable-HTTP transport. Stateless mode is required for
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# production: clients don't lose sessions when Watchtower
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# recreates the container.
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MCP_TRANSPORT: streamable-http
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MCP_HOST: 0.0.0.0
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MCP_PORT: "8000"
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# If you run MetaMCP or another gateway in front and reach
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# this container via its compose DNS name (e.g. <product>-docs-mcp:8000),
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# add that hostname here. "*" disables the rebind check entirely.
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MCP_ALLOWED_HOSTS: "<product>-docs-mcp,localhost,127.0.0.1"
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# Phase 6 — reranker sidecar (jina-reranker-v2-base via llama.cpp).
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RERANK_URL: http://<product>-rerank:8080
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RERANK_POOL: "200"
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RERANK_TIMEOUT: "30"
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# Phase 8 — hybrid retrieval (BM25 + dense + RRF). Set true
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# only after the eval harness shows the dense-only path
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# missing technical-term queries that BM25 catches.
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HYBRID_SEARCH: "true"
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# Phase 10 — usage telemetry.
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USAGE_LOG_DIR: /app/var/logs
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USAGE_LOG_KEEP_DAYS: "90"
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# Phase 12 — doc-bug submission gate. Off by default; on only
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# in production after you've verified the endpoint contract.
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DOC_BUG_SUBMIT_ENABLED: "false"
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# DOC_BUG_API_URL: "https://docs-be.example.com/api/feedback"
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volumes:
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# Usage logs persist across container recreates.
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- ./<product>-docs-mcp-logs:/app/var/logs
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depends_on:
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- <product>-rerank
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labels:
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# Watchtower polls *only* containers with this label set true.
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com.centurylinklabs.watchtower.enable: "true"
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networks:
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- mcp
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# Reranker sidecar — llama.cpp serving jina-reranker-v2-base.
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# Requires GPU access; adjust runtime/devices for your hardware.
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<product>-rerank:
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image: ghcr.io/ggml-org/llama.cpp:server-cuda
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container_name: <product>-rerank
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restart: unless-stopped
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# Mount the GGUF model from the host. Download from huggingface
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# (gguf-org/jina-reranker-v2-base-multilingual-GGUF) first.
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volumes:
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- /path/to/models:/models:ro
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command: >
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--model /models/jina-reranker-v2-base.Q8_0.gguf
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--reranking
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--host 0.0.0.0
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--port 8080
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--n-gpu-layers 99
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--ctx-size 4096
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deploy:
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resources:
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reservations:
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devices:
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- driver: nvidia
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count: 1
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capabilities: [gpu]
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networks:
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- mcp
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# Watchtower — auto-pulls :latest on push.
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# Only watches containers labeled `com.centurylinklabs.watchtower.enable=true`.
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watchtower:
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image: containrrr/watchtower:latest
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container_name: watchtower
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restart: unless-stopped
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volumes:
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- /var/run/docker.sock:/var/run/docker.sock
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environment:
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WATCHTOWER_POLL_INTERVAL: "300" # 5 min
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WATCHTOWER_LABEL_ENABLE: "true"
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WATCHTOWER_CLEANUP: "true" # remove old images after pull
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# If your registry requires auth, mount a docker config:
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# volumes:
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# - ./registry-auth.json:/config.json:ro
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networks:
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- mcp
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networks:
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mcp:
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driver: bridge
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