Update tools/umls_tool.py
Browse files- tools/umls_tool.py +45 -19
tools/umls_tool.py
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from
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from pydantic import BaseModel, Field
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from clinical_nlp.umls_bioportal import search_umls_term
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from services.logger import app_logger
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from services.metrics import log_tool_usage
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class UMLSInput(BaseModel):
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term: str = Field(description="The medical term to search for in UMLS.")
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class UMLSLookupTool(BaseTool):
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name: str = "umls_lookup"
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description: str = (
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)
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args_schema: Type[BaseModel] = UMLSInput
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def _run(self, term: str) -> str:
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app_logger.info(f"UMLS Tool called with term: {term}")
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log_tool_usage(self.name)
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if
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return
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formatted_results = []
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for
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async def _arun(self, term: str) -> str:
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# For simplicity, using sync version
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return self._run(term)
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# /home/user/app/tools/umls_tool.py
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from langchain_core.tools import BaseTool
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from typing import Type, Optional # Added Optional
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from pydantic import BaseModel, Field
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# Assuming clinical_nlp.umls_bioportal.search_umls_term exists and works
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from clinical_nlp.umls_bioportal import search_umls_term
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from services.logger import app_logger
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from services.metrics import log_tool_usage
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class UMLSInput(BaseModel):
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term: str = Field(description="The specific medical term to search for in UMLS.")
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# Example: search_type: Optional[str] = Field(default="exact", description="Type of search, e.g., 'exact', 'approximate'.")
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class UMLSLookupTool(BaseTool):
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name: str = "umls_lookup"
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description: str = (
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"Use this tool to find definitions, Concept Unique Identifiers (CUIs), and related concepts for specific medical terms "
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"from the Unified Medical Language System (UMLS). Best for precise terminology lookup. "
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"Input should be a single medical term (e.g., 'myocardial infarction')."
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)
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args_schema: Type[BaseModel] = UMLSInput
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def _run(self, term: str) -> str: # Add other args from UMLSInput if defined
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app_logger.info(f"UMLS Tool called with term: '{term}'")
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log_tool_usage(self.name, {"query_term": term}) # Log term for metrics
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if not term or not term.strip():
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return "Error from UMLS lookup: No search term provided."
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try:
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# Pass additional args like search_type to search_umls_term if your function supports them
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results = search_umls_term(term) # Example: search_umls_term(term, search_type=search_type)
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except Exception as e:
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app_logger.error(f"Exception during UMLS search for '{term}': {e}", exc_info=True)
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return f"Error performing UMLS lookup for '{term}': An unexpected error occurred during the search."
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if isinstance(results, dict) and "error" in results:
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app_logger.warning(f"UMLS lookup for '{term}' returned an error: {results['error']}")
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return f"Error from UMLS lookup for '{term}': {results['error']}"
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if isinstance(results, dict) and results.get("results"):
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formatted_results = []
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for res_item in results["results"][:3]: # Limit to top 3 results for brevity
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name = res_item.get('name', 'N/A')
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cui = res_item.get('ui', 'N/A') # Assuming 'ui' is the CUI field from your API response
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# You might want to add definition or semantic type if available
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# definition = res_item.get('definition', 'No definition available.')
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formatted_results.append(f"- Term: {name}, CUI: {cui}")
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if formatted_results:
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return f"UMLS Search Results for '{term}':\n" + "\n".join(formatted_results)
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else:
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return f"No specific items found in UMLS results for '{term}', though the query was successful."
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app_logger.warning(f"No results or unexpected format from UMLS for '{term}'. Raw: {str(results)[:200]}")
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return f"No distinct results found or unexpected response format from UMLS for '{term}'."
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async def _arun(self, term: str) -> str:
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# For simplicity, using sync version. Implement true async if search_umls_term is async.
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# import asyncio
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# return await asyncio.to_thread(self._run, term)
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return self._run(term)
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