"""Bayer seeds scraper — DEKALB (corn) + Asgrow (soy) + WestBred (wheat).

Source: ``cropscience.bayer.us`` — same Next.js + ``__NEXT_DATA__``
infrastructure used by crop-chem-docs' Bayer crop-protection scraper.
That scraper is the reference; this one lifts ~80% of its plumbing
and adapts the per-product field mapping for seed schema.

Catalog index pages:
  /corn/dekalb/seed-catalog
  /soybeans/asgrow/seed-catalog
  /wheat/westbred/seed-catalog

Each catalog page is a Next.js route; the per-variety data lives in
``__NEXT_DATA__.props.pageProps.{whatever}``. The buildId in the
script tag rotates — fetch the index page first, extract the
buildId, then fetch the per-variety JSON.

Output layout:
  corpus/bayer_seeds/<source_key>.md      LLM-visible body
  corpus/bayer_seeds/<source_key>.json    Sidecar metadata

source_key convention: ``<brand>-<product-slug>`` lowercased, e.g.
``dekalb-dkc62-08rib`` or ``asgrow-ag34xf2``.

Sidecar schema (per CLAUDE.md):
  source: "bayer_seeds"
  source_key: str
  vendor: "Bayer"
  brand: "DEKALB" | "Asgrow" | "WestBred"
  product_name: str
  crop: "corn" | "soybeans" | "wheat"
  relative_maturity: int | null         # corn only
  maturity_group: float | null          # soy only
  wheat_class: str | null               # wheat only
  trait_stack: list[str]
  agronomic_ratings: dict[str, int]     # normalized 1-9 (9 = best)
  disease_ratings: dict[str, int]       # normalized 1-9 (9 = best)
  regional_recommendation: list[str]
  source_urls: list[str]
  fetched_at: str (ISO 8601 UTC)

TODO: implement. Reference: ~/github/crop-chem-docs/scrape/sources/bayer.py
"""
from __future__ import annotations

import sys


def main(argv: list[str] | None = None) -> int:
    print("bayer_seeds: not implemented yet — see ~/github/crop-chem-docs/scrape/sources/bayer.py for the reference Next.js extraction pattern",
          file=sys.stderr)
    return 2


if __name__ == "__main__":
    sys.exit(main(sys.argv[1:]))