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>
36 lines
1.1 KiB
Python
36 lines
1.1 KiB
Python
"""NK scraper (Syngenta brand).
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Source: ``https://www.syngenta-us.com`` — static HTML product pages
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plus tech-sheet PDFs on the Syngenta CDN at
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``assets.syngentaebiz.com/pdf/techsheets/<CODE>_YYMMDD.pdf``.
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Expected count: 29 varieties (12 corn + 17 soy). No wheat.
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The PDF fetcher is shared with ``golden_harvest`` — same CDN, same
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``<CODE>_YYMMDD.pdf`` filename convention. Factor that into a
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helper module under ``scrape.sources._syngenta_pdf`` once both
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scrapers are written.
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Disease + agronomic ratings live INSIDE the PDFs (the HTML pages
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have marketing copy only). Use pdfplumber for table extraction.
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Bonus: regional "Seed Guide" PDFs (~14 MB each) for IA, IL, MN,
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etc. — additional supplemental context worth ingesting once the
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per-variety scrape is solid.
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TODO: implement.
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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("nk: not implemented yet — disease/agronomic ratings come from CDN tech-sheet PDFs only, use pdfplumber",
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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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