Update mcp/umls.py
Browse files- mcp/umls.py +67 -39
mcp/umls.py
CHANGED
@@ -1,66 +1,94 @@
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# mcp/umls.py
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"""
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"""
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import os
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import httpx
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from functools import lru_cache
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_AUTH_URL = "https://utslogin.nlm.nih.gov/cas/v1/api-key"
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_SEARCH_URL = "https://uts-ws.nlm.nih.gov/rest/search/current"
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#
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"""
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"""
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if not UMLS_KEY:
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return None
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try:
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async with httpx.AsyncClient(timeout=10) as
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st_resp = await client.post(tgt_url, data={"service": "http://umlsks.nlm.nih.gov"})
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return st_resp.text.strip()
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except Exception:
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return None
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# ββ Public API: async, returns safe dict ββββββββββββββββββββββββββ
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@lru_cache(maxsize=512)
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async def lookup_umls(term: str) -> dict:
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"""
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If quota/auth fails: all values None except term.
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"""
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ticket = await _get_ticket()
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if not ticket:
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return {"term": term, "cui": None, "name": None, "definition": None}
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"ticket": ticket,
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"pageSize": 1,
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}
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try:
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async with httpx.AsyncClient(timeout=8) as
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items =
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if items
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}
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else:
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return {"term": term, "cui": None, "name": None, "definition": None}
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except Exception:
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return {"term": term, "cui": None, "name": None, "definition": None}
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# mcp/umls.py
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"""
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Biomedical keyword/concept extractor for UMLS lookup.
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- Uses SciSpaCy if available (best for biomedical text).
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- Falls back to spaCy 'en_core_web_sm' (less accurate, general English).
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- Final fallback: regex keyword extraction.
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"""
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import os, httpx, asyncio
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from functools import lru_cache
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# UMLS API config
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UMLS_KEY = os.getenv("UMLS_KEY")
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_AUTH_URL = "https://utslogin.nlm.nih.gov/cas/v1/api-key"
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_SEARCH_URL = "https://uts-ws.nlm.nih.gov/rest/search/current"
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# ------- Robust concept extractor ------------------------------------------
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def extract_umls_concepts(text: str, min_length: int = 3) -> list[str]:
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"""
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Extract biomedical concepts (for UMLS) from text.
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Priority: SciSpaCy -> spaCy -> regex.
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"""
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try:
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# Try SciSpaCy first (best for biomedical NER)
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import scispacy
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import spacy
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try:
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nlp = spacy.load("en_ner_bionlp13cg_md")
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except Exception:
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nlp = spacy.load("en_core_sci_sm")
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doc = nlp(text)
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# All entities β₯ min_length, deduplicated
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ents = {ent.text.strip() for ent in doc.ents if len(ent.text.strip()) >= min_length}
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if ents:
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return list(ents)
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except Exception:
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pass
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# Fallback: spaCy general NER
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try:
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import spacy
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nlp = spacy.load("en_core_web_sm")
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doc = nlp(text)
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ents = {ent.text.strip() for ent in doc.ents if len(ent.text.strip()) >= min_length}
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if ents:
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return list(ents)
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except Exception:
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pass
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# Final fallback: Regex keywords
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import re
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words = re.findall(r"\b[a-zA-Z0-9\-]+\b", text)
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return list({w for w in words if len(w) >= min_length})
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# ------- UMLS API lookup (same as before, safe for missing/invalid key) ----
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async def _get_ticket() -> str | None:
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if not UMLS_KEY:
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return None
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try:
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async with httpx.AsyncClient(timeout=10) as c:
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tgt = await c.post(_AUTH_URL, data={"apikey": UMLS_KEY})
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tgt.raise_for_status()
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action = tgt.text.split('action="')[1].split('"')[0]
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st = await c.post(action, data={"service": "http://umlsks.nlm.nih.gov"})
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return st.text
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except Exception:
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return None
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@lru_cache(maxsize=512)
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async def lookup_umls(term: str) -> dict:
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"""
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Return {term,cui,name,definition}.
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If auth/quota fails β returns all keys as None (safe for UI).
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"""
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ticket = await _get_ticket()
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if not ticket:
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return {"term": term, "cui": None, "name": None, "definition": None}
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params = {"string": term, "ticket": ticket, "pageSize": 1}
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try:
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async with httpx.AsyncClient(timeout=8) as c:
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r = await c.get(_SEARCH_URL, params=params)
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r.raise_for_status()
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items = r.json().get("result", {}).get("results", [])
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hit = items[0] if items else {}
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return {
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"term": term,
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"cui": hit.get("ui"),
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"name": hit.get("name"),
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"definition": hit.get("rootSource"),
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}
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except Exception:
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return {"term": term, "cui": None, "name": None, "definition": None}
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