rename: ppls-docs → crop-chem-docs
Repo/project rename to better reflect scope. PPLS is EPA's term for
their Pesticide Product Label System — accurate when the corpus was
EPA-only, narrow now that it also pulls from Bayer's own catalog
(and may expand to Syngenta/Corteva/BASF/FMC labels in the future).
crop-chem-docs scopes flexibly without acronyms to explain.
Renames:
- directory: ppls-docs → crop-chem-docs
- PRODUCT_NAME: ppls → crop_chem
- Chroma collection: ppls_docs → crop_chem_docs (in-place via .modify(), no re-embed)
- BM25 db: bm25/ppls_docs.db → bm25/crop_chem_docs.db
- MCP tool name: ppls_api_lessons → crop_chem_api_lessons
- FastMCP server name: ppls-docs → crop-chem-docs
- Env vars: PPLS_CORPUS_ROOT → CORPUS_ROOT
PPLS_CHROMA_DIR → CHROMA_DIR_OVERRIDE
- User-Agent: ppls-docs-scraper → crop-chem-docs-scraper
Preserved (intentional, correct):
- epa_ppls (source id) — refers specifically to EPA's PPLS database
- "EPA PPLS" mentions in regulatory text (lessons.md, server docstrings)
- PPLS_API_BASE / PPLS_PDF_BASE / PPLS_INDEX_URL_TEMPLATE in
scrape/sources/epa_ppls.py — these point at EPA's actual endpoints
Memory entries get updated in a follow-up commit so the rename is
isolated.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
This commit is contained in:
@@ -9,9 +9,9 @@ any LLM client (Claude Desktop, Claude Code, Cursor, Copilot) can
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call to answer questions against the docs, surface what changed
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recently, and flag likely inconsistencies.
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> **Domain note for ppls-docs.** This template was originally written
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> **Domain note for crop-chem-docs.** This template was originally written
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> for versioned software product documentation (Zoomin bundles, Hugo
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> sites, etc.). For ppls-docs the domain is pesticide product labels —
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> sites, etc.). For crop-chem-docs the domain is pesticide product labels —
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> the "bundle" abstraction has been replaced with "source"
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> (manufacturer or regulator), and "page" with "product label". The
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> canonical on-disk schema lives in [`scrape/README.md`](scrape/README.md),
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+3
-3
@@ -1,8 +1,8 @@
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# PPLS API Lessons
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# Crop-Chem API Lessons
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Curated agronomy + label-handling knowledge that an LLM should know
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*before* giving recommendations from the labels corpus. Surfaced by
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the `ppls_api_lessons` MCP tool.
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the `crop_chem_api_lessons` MCP tool.
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Each top-level `## Topic: <slug>` block is independently retrievable.
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The tool docstring tells the LLM to call this proactively before
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@@ -12,7 +12,7 @@ answering any pesticide recommendation question.
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## Topic: how-to-use-this-corpus
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The PPLS docs corpus is the source of truth for *what's on the label*.
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The crop-chem-docs label corpus is the source of truth for *what's on the label*.
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You should:
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1. **Run `search_docs` first** with the user's natural-language
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+9
-9
@@ -1,4 +1,4 @@
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"""MCP server for the ppls-docs pesticide label corpus.
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"""MCP server for the crop-chem-docs pesticide label corpus.
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Adapted from the docs-mcp-template (which targeted versioned software
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docs) for the EPA pesticide-labels domain: ``bundle_id`` → ``source``,
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@@ -34,7 +34,7 @@ log = logging.getLogger(__name__)
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# ---------------------------------------------------------------------------
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# Product configuration.
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# ---------------------------------------------------------------------------
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PRODUCT_NAME = os.environ.get("PRODUCT_NAME", "ppls")
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PRODUCT_NAME = os.environ.get("PRODUCT_NAME", "crop_chem")
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PRODUCT_DOCS_URL = os.environ.get(
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"PRODUCT_DOCS_URL",
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"https://ordspub.epa.gov/ords/pesticides/f?p=PPLS:1",
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@@ -43,8 +43,8 @@ COLLECTION = f"{PRODUCT_NAME}_docs"
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# Paths — corpus on (possibly) external storage, indexes always at repo root.
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REPO_ROOT = Path(__file__).resolve().parent.parent
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CORPUS_ROOT = Path(os.environ.get("PPLS_CORPUS_ROOT") or REPO_ROOT / "corpus")
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CHROMA_DIR = Path(os.environ.get("PPLS_CHROMA_DIR") or REPO_ROOT / "chroma")
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CORPUS_ROOT = Path(os.environ.get("CORPUS_ROOT") or REPO_ROOT / "corpus")
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CHROMA_DIR = Path(os.environ.get("CHROMA_DIR_OVERRIDE") or REPO_ROOT / "chroma")
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BM25_DB = Path(os.environ.get("BM25_DB",
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str(REPO_ROOT / "bm25" / f"{PRODUCT_NAME}_docs.db")))
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SOURCES_JSON = REPO_ROOT / "sources.json"
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@@ -464,7 +464,7 @@ def list_versions() -> str:
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cat = _sources()
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# Source-level summary from sources.json
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lines: list[str] = ["# PPLS docs corpus"]
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lines: list[str] = ["# crop-chem-docs corpus"]
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# Live counts from Chroma (best-effort; the server should still
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# render a useful response if Chroma is unreachable)
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@@ -628,7 +628,7 @@ def _load_lessons() -> tuple[str, list[tuple[str, str]]]:
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@mcp.tool()
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def ppls_api_lessons(
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def crop_chem_api_lessons(
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topic: Annotated[
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str | None,
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Field(description="OPTIONAL: topic slug or substring (e.g., "
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@@ -654,7 +654,7 @@ def ppls_api_lessons(
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warnings that make them actionable. Call this first; cite specific
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lessons in your response.
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"""
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with TimedCall("ppls_api_lessons", {"topic": topic}) as _call:
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with TimedCall("crop_chem_api_lessons", {"topic": topic}) as _call:
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full, sections = _load_lessons()
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if not sections:
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_call.set(sections=0)
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@@ -663,9 +663,9 @@ def ppls_api_lessons(
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if not topic:
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_call.set(sections=len(sections), returned="toc")
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toc_lines = [
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"# PPLS API lessons — table of contents",
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"# Crop-Chem API lessons — table of contents",
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"",
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f"Call `ppls_api_lessons(topic='<slug>')` to fetch a specific section.",
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f"Call `crop_chem_api_lessons(topic='<slug>')` to fetch a specific section.",
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"",
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]
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for slug, body in sections:
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+4
-4
@@ -5,7 +5,7 @@ into Chroma. With --rebuild, drops + recreates the collection (clean
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state). With --bm25-only, skips Chroma and rebuilds only the FTS5
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index — useful for fast iteration when chunking didn't change.
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The corpus root honors PPLS_CORPUS_ROOT (matching the scrapers).
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The corpus root honors CORPUS_ROOT (matching the scrapers).
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The Chroma + BM25 stores stay at the repo root because both rely on
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filesystem locking semantics that vfat (typical USB drive) doesn't
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provide reliably.
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@@ -30,11 +30,11 @@ log = logging.getLogger(__name__)
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logging.basicConfig(level=logging.INFO, format="%(asctime)s %(message)s")
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REPO_ROOT = Path(__file__).resolve().parent.parent
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CORPUS_ROOT = Path(os.environ.get("PPLS_CORPUS_ROOT") or REPO_ROOT / "corpus")
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CHROMA_DIR = Path(os.environ.get("PPLS_CHROMA_DIR") or REPO_ROOT / "chroma")
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CORPUS_ROOT = Path(os.environ.get("CORPUS_ROOT") or REPO_ROOT / "corpus")
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CHROMA_DIR = Path(os.environ.get("CHROMA_DIR_OVERRIDE") or REPO_ROOT / "chroma")
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# Collection name — convention: <product>_docs. Override via env.
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PRODUCT_NAME = os.environ.get("PRODUCT_NAME", "ppls")
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PRODUCT_NAME = os.environ.get("PRODUCT_NAME", "crop_chem")
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COLLECTION = f"{PRODUCT_NAME}_docs"
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+3
-3
@@ -20,10 +20,10 @@ from typing import Iterable, Protocol
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log = logging.getLogger(__name__)
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REPO_ROOT = Path(__file__).resolve().parent.parent
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CHROMA_DIR = Path(os.environ.get("PPLS_CHROMA_DIR") or REPO_ROOT / "chroma")
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CHROMA_DIR = Path(os.environ.get("CHROMA_DIR_OVERRIDE") or REPO_ROOT / "chroma")
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BM25_DB = Path(os.environ.get("BM25_DB",
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str(REPO_ROOT / "bm25" / "ppls_docs.db")))
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COLLECTION = f"{os.environ.get('PRODUCT_NAME', 'ppls')}_docs"
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str(REPO_ROOT / "bm25" / "crop_chem_docs.db")))
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COLLECTION = f"{os.environ.get('PRODUCT_NAME', 'crop_chem')}_docs"
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class Retriever(Protocol):
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+3
-3
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### Corpus location
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Default: `corpus/` at the repo root. Override with the
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`PPLS_CORPUS_ROOT` env var to route the corpus to external storage
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`CORPUS_ROOT` env var to route the corpus to external storage
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(USB drive, NAS mount, secondary partition):
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```bash
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export PPLS_CORPUS_ROOT=/mnt/big-disk/ppls-corpus
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export CORPUS_ROOT=/mnt/big-disk/crop-chem-corpus
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python -m scrape.runner --source bayer --limit 20
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# writes to /mnt/big-disk/ppls-corpus/bayer/...
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# writes to /mnt/big-disk/crop-chem-corpus/bayer/...
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```
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All sources honor the same env var; each creates its own
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+1
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"""Thin dispatcher that routes ``--source <id>`` to the right per-source
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scraper module.
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For ppls-docs the convention is **one source per scraper module** under
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For crop-chem-docs the convention is **one source per scraper module** under
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``scrape.sources.<id>``. Each module is independently runnable via
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``python -m scrape.sources.<id>`` and accepts its own flags — this
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runner is a convenience shim for CI / the weekly refresh workflow.
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@@ -47,7 +47,7 @@ import requests
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from pypdf import PdfReader
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SCRAPER_VERSION = "0.1.0"
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USER_AGENT = "ppls-docs-scraper/0.1 (+https://drawbar.example/contact)"
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USER_AGENT = "crop-chem-docs-scraper/0.1 (+https://drawbar.example/contact)"
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BASE = "https://www.cropscience.bayer.us"
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# Catalog product-type values used in the Next.js data API.
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@@ -63,11 +63,11 @@ PRODUCT_CLASS = {
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}
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# Repo root: scrape/sources/bayer.py -> repo root is 3 parents up.
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# Corpus root is overridable via PPLS_CORPUS_ROOT for routing the
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# Corpus root is overridable via CORPUS_ROOT for routing the
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# corpus to external storage (USB drive, NAS mount, etc.) without
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# editing the repo.
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REPO_ROOT = Path(__file__).resolve().parents[2]
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CORPUS_ROOT = Path(os.environ.get("PPLS_CORPUS_ROOT") or REPO_ROOT / "corpus")
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CORPUS_ROOT = Path(os.environ.get("CORPUS_ROOT") or REPO_ROOT / "corpus")
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CORPUS_DIR = CORPUS_ROOT / "bayer"
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# Politeness: target ~1 req/sec to Bayer. Each HTTP method goes through
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@@ -63,7 +63,7 @@ from pypdf import PdfReader
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from pypdf.errors import PdfReadError
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SCRAPER_VERSION = "0.1.0"
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USER_AGENT = "ppls-docs-scraper/0.1 (+https://drawbar.example/contact)"
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USER_AGENT = "crop-chem-docs-scraper/0.1 (+https://drawbar.example/contact)"
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PPIS_PRODUCT_ZIP_URL = "https://www3.epa.gov/pesticides/PPISdata/product.zip"
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PPLS_API_BASE = "https://ordspub.epa.gov/ords/pesticides/cswu/ppls"
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@@ -73,10 +73,10 @@ PPLS_INDEX_URL_TEMPLATE = (
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)
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REPO_ROOT = Path(__file__).resolve().parents[2]
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# Corpus root is overridable via PPLS_CORPUS_ROOT for routing the
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# Corpus root is overridable via CORPUS_ROOT for routing the
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# corpus to external storage (USB drive, NAS mount, etc.) without
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# editing the repo.
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CORPUS_ROOT = Path(os.environ.get("PPLS_CORPUS_ROOT") or REPO_ROOT / "corpus")
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CORPUS_ROOT = Path(os.environ.get("CORPUS_ROOT") or REPO_ROOT / "corpus")
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CORPUS_DIR = CORPUS_ROOT / "epa_ppls"
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REQUEST_DELAY_SECONDS = 1.1 # polite: ~1 req/sec
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