Update core/sources/cdc.py
Browse files- core/sources/cdc.py +71 -12
core/sources/cdc.py
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"""CDC
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from __future__ import annotations
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import re
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from typing import Dict, List
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# Each entry: {"name": str, "cas": str, "url": str}
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TOXPROFILES: List[Dict[str, str]] = [
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@@ -258,21 +271,67 @@ TOXPROFILES: List[Dict[str, str]] = [
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_CAS_RE = re.compile(r"^\d{2,7}-\d{2}-\d$")
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def is_cas(s: str) -> bool:
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return bool(_CAS_RE.match((s or "").strip()))
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def search(query: str, *, limit: int = 8) -> Dict[str, object]:
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q = (query or "").strip()
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matches = [x for x in TOXPROFILES if qn in (x.get("name") or "").casefold()]
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"""CDC/ATSDR ToxProfiles local index + search.
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Why local?
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- CDC ToxProfiles don't have a simple public search API.
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- Production code typically uses a prebuilt index (CAS/name -> URL).
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This file mirrors that approach: you maintain TOXPROFILES as a list of dicts.
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Each item MUST look like:
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{"name": "Acetone", "cas": "67-64-1", "url": "https://wwwn.cdc.gov/TSP/ToxProfiles/ToxProfiles.aspx?id=5&tid=1"}
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Return shape is stable for Gradio rendering:
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{"ok": True, "query": "...", "cas": "...", "matches": [...], "total": N}
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"""
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from __future__ import annotations
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import re
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from typing import Any, Dict, List, Optional
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# Each entry: {"name": str, "cas": str, "url": str}
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TOXPROFILES: List[Dict[str, str]] = [
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_CAS_RE = re.compile(r"^\d{2,7}-\d{2}-\d$")
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def _norm(s: str) -> str:
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return re.sub(r"\s+", " ", (s or "").strip()).lower()
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def is_cas(s: str) -> bool:
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return bool(_CAS_RE.match((s or "").strip()))
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def search(query: str, *, limit: int = 8) -> Dict[str, object]:
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"""Search the local toxprofile index.
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Behavior:
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1) If `cas` is provided and CAS-like, prefer exact CAS matches.
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2) Else if `query` is CAS-like, use exact CAS matches.
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3) If no CAS matches, fall back to case-insensitive substring name match.
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Args:
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query: Original user query (CAS or name).
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cas: Resolved CAS (preferred) if you have it.
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limit: Max results.
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"""
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q = (query or "").strip()
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cas_q = (cas or "").strip()
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matches: List[Dict[str, str]] = []
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# 1) CAS-first
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cas_key = cas_q if is_cas(cas_q) else (q if is_cas(q) else "")
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if cas_key:
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for item in TOXPROFILES:
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if (item.get("cas") or "").strip() == cas_key:
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matches.append(
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{
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"name": item.get("name") or "ToxProfile",
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"cas": item.get("cas") or cas_key,
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"url": item.get("url") or "",
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}
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)
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# 2) Name fallback (when CAS isn't resolved OR CAS didn't match anything)
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if not matches and q:
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qn = _norm(q)
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for item in TOXPROFILES:
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if qn and qn in _norm(item.get("name") or ""):
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matches.append(
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{
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"name": item.get("name") or "ToxProfile",
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"cas": item.get("cas") or "",
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"url": item.get("url") or "",
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}
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)
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# Deterministic order: exact name matches first, then substring
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if matches and q:
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qn = _norm(q)
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matches.sort(key=lambda m: 0 if _norm(m.get("name", "")) == qn else 1)
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total = len(matches)
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return {
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"ok": True,
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"query": q,
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"cas": cas_key or cas_q or (q if is_cas(q) else ""),
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"total": total,
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"matches": matches[: max(0, int(limit))],
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}
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