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>
43 lines
1.5 KiB
Python
43 lines
1.5 KiB
Python
"""Golden Harvest scraper (Syngenta brand).
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Discovery: ``https://www.goldenharvestseeds.com/sitemap.xml`` lists
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every variety page. Server-rendered HTML — no headless browser
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required. Tech-sheet PDFs live on the Syngenta CDN at
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``assets.syngentaebiz.com/pdf/techsheets/<CODE>_YYMMDD.pdf`` — same
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fetcher pattern as NK.
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Two gotchas:
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1. **Sitemap PDF dates are stale** (the sitemap was generated
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2025-03-31 and never updated). Resolve the LIVE PDF URL from the
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product HTML page, not from the sitemap entry.
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2. **Disease scale is reversed.** Golden Harvest publishes ratings
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on a 9-to-1 scale (9 = best, 1 = worst). Bayer/NK/AgriPro use
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1-9 (9 = best). Normalize at chunk time so the corpus has a
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single direction. Record the original direction in the chunk_0
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preamble: "Note: ratings normalized to 1-9 (9 = best). Golden
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Harvest publishes on a 9-to-1 scale natively."
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Expected count: ~175 varieties (89 corn + 86 soy). No wheat.
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Bonus dataset: ``/plot-report/<state>/<year>/<id>`` — ~7,800 regional
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yield trial records. Out of scope for v1 but a high-value future
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ingest for regional placement recommendations.
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TODO: implement. Reuse the PDF-fetch helper that NK uses.
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"""
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from __future__ import annotations
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import sys
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def main(argv: list[str] | None = None) -> int:
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print("golden_harvest: not implemented yet — see CLAUDE.md for the disease-scale-reversal gotcha and the live-PDF-URL-resolution requirement",
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file=sys.stderr)
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return 2
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if __name__ == "__main__":
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sys.exit(main(sys.argv[1:]))
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