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from typing import Dict, List |
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import json |
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from agents import AlternativeAgent, SimilarityAgent, ConflictAgent, InteractionAgent |
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from rdflib import Graph, Namespace |
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import logging |
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class DrugInteractionAnalyzer: |
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""" |
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Analyzer class to handle drug interactions, alternatives, similarities, and conflicts using separate agents. |
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""" |
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def __init__(self, owl_file_path: str): |
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""" |
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Initialize the DrugInteractionAnalyzer with the ontology file and instantiate agents. |
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Args: |
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owl_file_path (str): Path to the RDF/XML ontology file. |
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""" |
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self.graph = Graph() |
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try: |
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self.graph.parse(owl_file_path, format="xml") |
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self.namespace = Namespace("http://www.example.org/DrugInteraction.owl#") |
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logging.info(f"Successfully loaded ontology from {owl_file_path}") |
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except Exception as e: |
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logging.error(f"Failed to load ontology file: {e}") |
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raise ValueError(f"Failed to load ontology file: {e}") |
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self.alternative_agent = AlternativeAgent(self.graph, self.namespace) |
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self.similarity_agent = SimilarityAgent(self.graph, self.namespace) |
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self.conflict_agent = ConflictAgent(self.graph, self.namespace) |
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self.interaction_agent = InteractionAgent(self.graph, self.namespace) |
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logging.info("Initialized all agents successfully.") |
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def analyze_drugs(self, drug_names: List[str]) -> Dict[str, Dict[str, List[Dict[str, str]]]]: |
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""" |
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Analyze multiple drugs using separate agents and return structured results. |
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Args: |
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drug_names (List[str]): List of drug names to analyze. |
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Returns: |
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Dict[str, Dict[str, List[Dict[str, str]]]]: Structured analysis results. |
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""" |
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results = {} |
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for drug in drug_names: |
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drug_results = {} |
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logging.info(f"Analyzing drug: {drug}") |
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try: |
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alternatives = self.alternative_agent.get_alternatives(drug) |
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drug_results["alternatives"] = alternatives |
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logging.debug(f"Alternatives for {drug}: {alternatives}") |
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except Exception as e: |
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logging.warning(f"Failed to get alternatives for {drug}: {e}") |
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drug_results["alternatives"] = [] |
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try: |
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similarities = self.similarity_agent.get_similarities(drug) |
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drug_results["similarities"] = similarities |
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logging.debug(f"Similarities for {drug}: {similarities}") |
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except Exception as e: |
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logging.warning(f"Failed to get similarities for {drug}: {e}") |
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drug_results["similarities"] = [] |
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try: |
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conflicts = self.conflict_agent.get_conflicts(drug) |
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drug_results["conflicts"] = conflicts |
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logging.debug(f"Conflicts for {drug}: {conflicts}") |
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except Exception as e: |
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logging.warning(f"Failed to get conflicts for {drug}: {e}") |
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drug_results["conflicts"] = [] |
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try: |
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interactions = self.interaction_agent.get_interactions(drug) |
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drug_results["interactions"] = interactions |
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logging.debug(f"Interactions for {drug}: {interactions}") |
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except Exception as e: |
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logging.warning(f"Failed to get interactions for {drug}: {e}") |
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drug_results["interactions"] = [] |
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results[drug] = drug_results |
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logging.info(f"Completed analysis for {drug}") |
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logging.info("Completed analysis for all drugs.") |
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return results |
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