justin
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>
62 lines
2.4 KiB
Markdown
62 lines
2.4 KiB
Markdown
# scrape/
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Per-vendor seed catalog scrapers + the runner that dispatches to
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them. Each source lives in `scrape/sources/<name>.py` with a `main()`
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entrypoint. The runner is a thin shim:
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```bash
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python -m scrape.runner --source bayer_seeds --force
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python -m scrape.runner --source golden_harvest --limit 20
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python -m scrape.runner --all # only GREEN sources
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```
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## Output layout
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Each scraper writes:
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- `corpus/<source>/<source_key>.md` — LLM-visible body (chunk_0
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preamble + the variety's marketing + agronomic narrative)
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- `corpus/<source>/<source_key>.json` — sidecar metadata (per
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CLAUDE.md's canonical schema)
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`source_key` is a stable per-vendor slug — typically `<brand>-<sku>`
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lowercased, e.g. `dekalb-dkc62-08rib`. Stability matters: it's the
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join key the MCP uses for `get_page(source, source_key)`.
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## Sources
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| Source | Module | Verdict | Notes |
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| `bayer_seeds` | `bayer_seeds.py` | 🟢 | DEKALB + Asgrow + WestBred, ~475 varieties |
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| `golden_harvest` | `golden_harvest.py` | 🟢 | ~175 varieties, 9-to-1 disease scale (reverse) |
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| `nk` | `nk.py` | 🟢 | 29 varieties, ratings in CDN PDFs |
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| `agripro` | `agripro.py` | 🟢 | 24 wheat varieties |
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| `becks_pfr` | `becks_pfr.py` | 🟡 | 2,089 research docs via public Sanity GROQ |
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| `becks_products` | `becks_products.py` | 🟡 | 860 products, identity-only (SeedIQ-gated) |
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Pioneer is intentionally absent — see `CLAUDE.md` and the curated
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Pioneer fallback in `docs_mcp/lessons.md`.
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## Tips
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- **Sniff before you scrape.** Most catalogs are SPAs that call a
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backend API. The recon docs in `~/.claude/projects/-home-justin/
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memory/reference_seed_vendor_recon.md` already capture the
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endpoints; if you find new ones, update that file.
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- **Idempotent re-scrapes.** Without `--force`, skip pages already
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on disk. With `--force`, re-fetch everything — that's the
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monthly cron mode.
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- **Respect the portals.** Backoff on 429s. Set a recognizable
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user-agent (`seed-mcp-scraper/<version>`).
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- **Normalize at chunk time, not at scrape time.** The chunker
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(Phase 2) handles the 9-to-1 → 1-9 disease-scale flip for Golden
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Harvest, NOT this scraper. Sidecar JSON should preserve the
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vendor's raw values + a `_scale_direction` field; the chunker
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reads that and normalizes the markdown body.
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## changelog.py
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Reusable as-is from the template. Walks `git diff --name-status`
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output for the commit summary, and `git log` for the digest history
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(Phase 13).
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