gpt_analyzer.py

# gpt_analyzer.py
import json
from openai import OpenAI
from typing import Dict, List, Any

class GPTAnalyzer:
    def __init__(self, api_key: str):
        self.client = OpenAI(api_key=api_key)
    
    def analyze_request(self, request_text: str, available_categories: List[str]) -> Dict[str, Any]:
        prompt = f"""
        As a hospital data analyst, analyze this data request:
        "{request_text}"

        Consider these available data sources in hospital Web Data system:
        {json.dumps(available_categories, indent=2, ensure_ascii=False)}

        Return JSON with this structure:
        {{
            "required_reports": [
                {{
                    "category": "Which category (OPD/IPD/PCT/etc)",
                    "report_type": "Specific report name needed",
                    "fields_needed": ["List of required fields"],
                    "filters": {{
                        "date_range": "Required date range if specified",
                        "other_filters": ["Other filters needed"]
                    }}
                }}
            ],
            "interpretation": "Brief explanation of what data is needed",
            "confidence_score": "HIGH/MEDIUM/LOW"
        }}
        """

        try:
            response = self.client.chat.completions.create(
                messages=[
                    {
                        "role": "system",
                        "content": "You are a healthcare data analyst expert who understands hospital information systems."
                    },
                    {
                        "role": "user",
                        "content": prompt
                    }
                ],
                model="gpt-4o-mini",
                response_format={ "type": "json_object" }
            )
            return json.loads(response.choices[0].message.content)
        except Exception as e:
            return {"error": str(e)}