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Author SHA1 Message Date
justin c737871c4c Trial-data scrapers: gh_plot_reports + agripro_trials + search_trials tool 
This PR introduces TRIAL data — yield-performance results from real
field trials — as a SEPARATE data type alongside variety identity.
The two are complementary:

  search_docs  → "What's the disease resistance of DKC62-08RIB?"
                  (variety identity — what it IS)
  search_trials → "Which corn hybrid won the IA 2024 trials?"
                  (performance data — how it PERFORMED)

scrape/sources/gh_plot_reports.py — Golden Harvest plot reports
- 4,618 expected (2024+2025; 2023 deferred to a backfill pass).
- URL: /<crop>/plot-report/<state>/<year>/<plot_id>
- Cross-vendor: each plot lists products from multiple brands
  (NK / DEKALB / Golden Harvest / Enogen / Pioneer / Channel) side
  by side at one cooperator's field — the kind of independent
  comparison data Bayer doesn't publish itself.
- Generic per-column metrics dict (Yield/MST/Test Weight/$/Ac for
  corn+soy, Ton/Acre + Milk + Beef columns for silage).
- Politeness: 1 req/sec, retries on 429/5xx, no redirect-follow.

scrape/sources/agripro_trials.py — AgriPro regional trial PDFs
- 14 unique PDFs (38 sitemap links deduped) at /trials-data
- pdfplumber text extraction, region/year detection from filename
- Verbatim PDF text preserved in chunk body so variety + yield
  number adjacency drives retrieval (AP Iliad's Aberdeen ID yield
  matches a query about "AP Iliad Idaho yield")

rag/chunk.py — chunks_from_trial() dispatching by source
- Plot reports: identity preamble + Top-5 by primary metric + full
  ranking table. Metric labels chosen from the data (corn/soy use
  "Yield", silage uses "Ton/Acre").
- AgriPro PDFs: identity preamble + verbatim trial body inline so
  per-location yields surface for region+variety queries.
- Variety chunks get data_type="variety" metadata; trial chunks get
  data_type="trial". Single Chroma collection; the tool router
  filters by data_type rather than maintaining two collections.

rag/index.py — dispatch by sidecar's data_type field
rag/bm25.py — new filter columns (data_type, year, state)

docs_mcp/server.py — sixth MCP tool: search_trials(crop?, state?,
year?, product?, k=10)
- Filters trial chunks via where={"data_type": "trial", ...}
- Optional product substring post-filter for "DKC62-08RIB Iowa 2024"
  style searches
- search_docs now defaults to data_type="variety" so trial chunks
  don't bleed into variety identity queries
- Tool docstring routes the agent: "use lookup_variety to verify
  identity details on any trial winner you surface"

NK trial endpoint (/NKSeeds/wsProxy.asmx/GetPlotResult) is documented
as deferred — the ASMX-SOAP shape returned empty XML on initial
probe. Bayer per-variety yield data is not publicly indexed at all
— documented in the trial-scope note (DEKALB/Asgrow trial data flows
through Channel reps, not the web). AgRevival research books exist
as 10 large annual PDFs but are deferred (low ROI per parse).

Initial corpus shipped in this PR: 14 AgriPro trial PDFs. The 4,618
Golden Harvest plot reports are scraping in background and will be
added in a follow-up corpus-snapshot PR (~70 min ETA).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
 2026-05-25 15:19:03 -04:00
justin 9ce920f622 agripro + nk scrapers — 146 Syngenta varieties added (wheat + corn/soy) 
agripro (24 varieties)
- Drupal Views form scrape via /search-agripro-brand-varieties with
  explicit GET params (sidesteps the AJAX-only-on-load default that
  returns an empty form skeleton).
- Per-variety parse: <h1>, .field--node--variety-type--variety,
  .field--node--tag-line--variety, .field--node--body, plus the
  three rated sections (Agronomics / Grain / Disease) with their
  <div class="row"><div class="label">label</div><div>value</div>
  pairs.
- Wheat-class distribution: 12 HRS, 7 SWW, 3 HRW, 1 HWS, 1 Barley
  — provides the Northern Plains HRS coverage WestBred lacks.

nk (122 varieties — recon's "29" was outdated; the current NK seed
finder lists 41 corn + 81 soy)
- ASP.NET WebForms endpoint:
  POST /NKSeeds/{Corn,Soy}ProductFinder.aspx/GetProducts returns
  {"d": "<html>"} where the inner HTML is one <div class="sf-result">
  per variety. BeautifulSoup tokenizes the whole blob.
- Per-card: product code (NK8005, NK008-P8XF), RM/MG from the
  title <span>, "Brands Available" trait variants, marketing
  positioning + bullet strengths, tech-sheet PDF URL.
- pdfplumber text extraction on the tech-sheet PDFs adds:
  * corn disease ratings (Gray Leaf Spot, NCLB, Goss's Wilt,
    Anthracnose, Tar Spot, Fusarium, etc.) where the PDF prints
    "Label N" lines (text-extractable)
  * soybean Phytophthora source genes (Rps1c, Rps3a, ...)
  * soybean SCN race coverage
  * soybean agronomic ratings (Emergence, Standability, Shatter
    Tolerance, Green Stem) with text-extractable 1-9 values
  * soybean soil-type adaptation (Best/Good/Fair/Poor) for drought
    prone / high pH / poorly drained / etc.
- Agronomic rating BARS for corn (Emergence, Stalk Strength,
  Drought) are not text-extractable; we record the labels with an
  explicit "rated in PDF chart, see tech sheet" value so the agent
  can direct the farmer at the source for those numbers.

Scale-direction correction in lessons.md:
- NK and AgriPro both use 1 = best, lower = more resistant — the
  REVERSED convention vs Bayer / Golden Harvest. NK's tech-sheet
  footer literally prints "1-9 Scale: 1 = Best, 9 = Worst".
  AgriPro positioning on stripe-rust-resistant varieties (AP Iliad
  with Stripe Rust 1, Eyespot 2) confirms the same direction.
- sources-not-yet-indexed section trimmed to just Beck's PFR +
  Beck's products — everything else IS now in the corpus.

Cross-vendor coverage after this PR: 760 varieties.
  bayer_seeds     475 (DEKALB 288 / Asgrow 102 / WestBred 85)
  golden_harvest  139
  nk              122  (41 corn / 81 soy)
  agripro          24  (12 HRS / 7 SWW / 3 HRW / 1 HWS / 1 Barley)
Vendors: Bayer, Syngenta. Brands: 6. Crops: corn, soy, wheat (109
wheat now, up from 85).

requirements.txt: pdfplumber>=0.11 for NK tech-sheet parsing.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
 2026-05-25 14:16:36 -04:00
justin 75f714b454 Phase 4-5: deployable container + corpus snapshot + CI fixes 
deploy/docker-compose.yml — replace <product>/<registry> placeholders
with concrete values for Drawbar's stack:
- image: git.jpaul.io/justin/seed-mcp:latest (CF tunnel for pulls; CI
  pushes via LAN 192.168.0.2:1234 to avoid 100 MB body cap)
- container_name: seed-mcp
- port 8001:8000 (8001 host-side to not collide with crop-chem-docs
  on 8000)
- PRODUCT_NAME=crop_seed, hybrid search enabled, stateless HTTP
- llama-rerank shared with crop-chem-docs (NOT redefined here —
  expected to already be in Drawbar's parent compose network)
- networks.drawbar-mcp external: true so seed-mcp joins the existing
  cross-MCP shared network

.gitignore — corpus/ is now COMMITTED, not ignored. The monthly
refresh workflow scrapes and commits corpus changes; the image-only
workflow rebuilds indexes from the committed corpus. Allowing the
corpus to flow through git means the :corpus-YYYY.MM.DD image tag
pins to a specific seed-catalog snapshot. chroma/ and bm25/ remain
ignored — those are deterministically derived from corpus.

Initial committed snapshot: 614 varieties.
- bayer_seeds: 475 (DEKALB 288 + Asgrow 102 + WestBred 85)
- golden_harvest: 139 (Syngenta corn + soy; 36 sitemap URLs
  302-redirected = discontinued)

rag/chunk.py — normalize brand and crop to uppercase/lowercase in
Chroma metadata so cross-vendor brand-filter lookups don't break on
casing inconsistency (Bayer stores "DEKALB", Golden Harvest stores
"Golden Harvest"; _build_where uppercases user-supplied brand which
matched the former but not the latter pre-fix). Sidecar JSON keeps
original casing for display.

Stub scrapers (nk, agripro, becks_pfr, becks_products) — change
return code from 2 to 0 so the monthly-refresh CI workflow doesn't
fail on deferred sources. Real implementations will return 0 on
success / 1 on failure when they ship.

Smoke-tested cross-vendor retrieval against the 614-chunk index:
- list_versions shows both vendors with correct facet counts
- broad "corn hybrid 100 RM" query returns both DEKALB and Golden
  Harvest hits in top 5
- brand='Golden Harvest' filter returns 3 GH-only varieties
- variety-code prefilter still works (E085Z5 → top hit on GH)

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
 2026-05-25 13:40:05 -04:00
justin 1409c2617d golden_harvest: implement scraper (~175 Syngenta corn + soy) 
Sitemap-driven scraper for goldenharvestseeds.com. Walks
sitemap-ghs-hybrids.xml to discover product URLs under
/products/corn/ and /products/soybean/ (~89 + 86 = 175 candidates).

Per-variety detail parsed from server-rendered HTML:

- product code (from <h1> / <title>)
- positioning (from <meta name="Description">)
- maturity (from <div class="product-label"><div class="right">):
  integer days for corn, decimal MG for soybeans
- traits derived from product-code suffix (XF, E3, VIP3, GT, Z, etc.)
- 9-row disease tolerance bar chart (#dvDiseaseTolerance) where
  data-percentage / 10 = rating on 1-9 (9 = best) scale
- 9-row agronomic characteristics bar chart (#dvAgronomicChar)
- recommended environment list (.AgronomicMange — upstream typo)
- all 2-column tables (plant description, seed quality, herbicide
  responses, Phytophthora gene, SCN race coverage)
- tech-sheet PDF URL from live HTML (not sitemap — that's stale)

302 redirects to /product-finder treated as "discontinued" and
skipped (Golden Harvest still sitemap-lists some retired SKUs).

Rating scale: 1-9 (9 = best) — same as Bayer despite recon's
"9-to-1" descriptor (that referred to chart-axis direction, not
numeric meaning). _scale_direction is set explicitly so the chunker
stays forward-compatible.

PDFs are NOT downloaded (recon flagged ~14MB each); tech-sheet URLs
are captured in the sidecar for future enrichment.

Smoke-tested all branches: 4 corn varieties (E085Z5, E092W5,
E094Z4, E095D3, E097K6, E100A3) with full 6 characteristics groups
+ tech-sheet URL; 3 soy varieties (GH00864XF MG 0.08, GH00973E3
MG 0.09, GH0225XF MG 0.2) with disease + agronomic bars; 302
redirects skipped cleanly.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
 2026-05-25 13:30:30 -04:00
justin 2a4c0d4aba bayer_seeds: implement Phase 1 scraper for DEKALB + Asgrow + WestBred 
Replace stub with working scraper for all three Bayer seed brands.
Discovery uses the public sitemap-dynamic.xml (475 varieties:
288 DEKALB corn + 102 Asgrow soy + 85 WestBred wheat — matches recon).
Per-variety detail comes from the page's __NEXT_DATA__ JSON island.

Each variety writes corpus/bayer_seeds/<source_key>.{md,json} with:
- Identity (brand, crop, hybridLabel, productId, releaseYear)
- Maturity routed per crop (RM for corn, MG for soy, qualitative for wheat)
- Trait stack (code + full name)
- Positioning + strengths narrative
- Characteristics groups (DISEASE RATINGS, GROWTH, MANAGEMENT, HARVEST,
  etc.) preserved verbatim from source so the chunker can re-bucket
  into canonical disease/agronomic flats per CLAUDE.md schema
- Regional seed-guide listings with agronomist contacts
- _scale_direction tag (Bayer = "1-9 (9 = best)") for chunker

Smoke-tested all three brands (--limit 2 each, plus --product, --force,
and scrape.runner dispatch). Politeness: 1 req/sec, retries on 429/5xx
with Retry-After honored.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
 2026-05-25 12:53:46 -04:00
justin ac40e05734 seed-mcp scaffold: clone docs-mcp-template, customize for crop_seed PRODUCT_NAME
Image rebuild (skip scrape) / build (push) Failing after 7s
Details 
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>
 2026-05-25 12:28:49 -04:00