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>
57 lines
1.9 KiB
Python
57 lines
1.9 KiB
Python
"""Bayer seeds scraper — DEKALB (corn) + Asgrow (soy) + WestBred (wheat).
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Source: ``cropscience.bayer.us`` — same Next.js + ``__NEXT_DATA__``
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infrastructure used by crop-chem-docs' Bayer crop-protection scraper.
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That scraper is the reference; this one lifts ~80% of its plumbing
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and adapts the per-product field mapping for seed schema.
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Catalog index pages:
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/corn/dekalb/seed-catalog
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/soybeans/asgrow/seed-catalog
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/wheat/westbred/seed-catalog
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Each catalog page is a Next.js route; the per-variety data lives in
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``__NEXT_DATA__.props.pageProps.{whatever}``. The buildId in the
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script tag rotates — fetch the index page first, extract the
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buildId, then fetch the per-variety JSON.
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Output layout:
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corpus/bayer_seeds/<source_key>.md LLM-visible body
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corpus/bayer_seeds/<source_key>.json Sidecar metadata
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source_key convention: ``<brand>-<product-slug>`` lowercased, e.g.
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``dekalb-dkc62-08rib`` or ``asgrow-ag34xf2``.
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Sidecar schema (per CLAUDE.md):
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source: "bayer_seeds"
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source_key: str
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vendor: "Bayer"
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brand: "DEKALB" | "Asgrow" | "WestBred"
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product_name: str
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crop: "corn" | "soybeans" | "wheat"
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relative_maturity: int | null # corn only
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maturity_group: float | null # soy only
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wheat_class: str | null # wheat only
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trait_stack: list[str]
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agronomic_ratings: dict[str, int] # normalized 1-9 (9 = best)
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disease_ratings: dict[str, int] # normalized 1-9 (9 = best)
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regional_recommendation: list[str]
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source_urls: list[str]
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fetched_at: str (ISO 8601 UTC)
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TODO: implement. Reference: ~/github/crop-chem-docs/scrape/sources/bayer.py
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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("bayer_seeds: not implemented yet — see ~/github/crop-chem-docs/scrape/sources/bayer.py for the reference Next.js extraction pattern",
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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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