File size: 2,261 Bytes
57b9c2a 09410eb | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 | from typing import Dict, List
import json
import google.generativeai as genai
from fastapi import HTTPException
from ..utils.prompt_templates import generate_traditional_prompt, generate_body_based_prompt
class SymptomAnalyzer:
def __init__(self):
self.model = genai.GenerativeModel('gemini-2.5-flash')
async def analyze_traditional(self, symptoms: List[str], age: int, gender: str, duration: str) -> Dict:
try:
prompt = generate_traditional_prompt(symptoms, age, gender, duration)
response = self.model.generate_content(prompt)
try:
parsed_response = json.loads(response.text)
return parsed_response
except json.JSONDecodeError as e:
cleaned_response = response.text.strip().strip('`').strip('json')
try:
parsed_response = json.loads(cleaned_response)
return parsed_response
except json.JSONDecodeError:
raise HTTPException(
status_code=500,
detail="Failed to parse response into valid JSON"
)
except Exception as e:
raise HTTPException(status_code=500, detail=f"Analysis error: {str(e)}")
async def analyze_body_based(self, data: Dict) -> Dict:
try:
prompt = generate_body_based_prompt(data)
response = self.model.generate_content(prompt)
try:
parsed_response = json.loads(response.text)
return parsed_response
except json.JSONDecodeError as e:
cleaned_response = response.text.strip().strip('`').strip('json')
try:
parsed_response = json.loads(cleaned_response)
return parsed_response
except json.JSONDecodeError:
raise HTTPException(
status_code=500,
detail="Failed to parse response into valid JSON"
)
except Exception as e:
raise HTTPException(status_code=500, detail=f"Analysis error: {str(e)}") |