app.py

from fastapi import FastAPI, HTTPException
from pydantic import BaseModel
import httpx
import json
import os
import uvicorn

app = FastAPI()

OLLAMA_URL = "http://localhost:11434/api/chat"

# تعريف شكل البيانات المستلمة
class AnalysisRequest(BaseModel):
    user_text: str  # النص المجمع من حوار المستخدم فقط

@app.get("/")
async def check():
     return {
            "status": "success",
            "state":"ok"
        }

@app.post("/analyze/personality")
async def analyze_personality(data: AnalysisRequest):
    # الـ Prompt باللغة الإنجليزية فقط
#     analysis_prompt = f"""
# Analyze the following user text and return a JSON object with EXACTLY these English keys:
# 'decision_making', 'energy', 'focus', 'lifestyle', 'compatible_type'.

# Requirements:
# 1. The 'summary' field inside each key must be written in ARABIC.
# 2. The 'summary' should be a concise psychological insight (1-2 sentences).
# 3. 'compatible_type' must be a 4-letter MBTI code in ENGLISH (e.g., 'INFJ').

# User Text:
# \"\"\"{data.user_text}\"\"\"

# Respond ONLY in valid JSON.
# """
    
#     analysis_prompt = f"""
# Analyze the following user text based on MBTI personality theory. 
# Return a JSON object with EXACTLY these keys:
# 'personality_type', 'decision_making', 'energy', 'focus', 'lifestyle', 'compatible_type'.

# Requirements:
# 1. 'personality_type': MUST be the 4-letter MBTI code that is the user's identified type.
# 2. The 'summary' field inside 'decision_making', 'energy', 'focus', and 'lifestyle' must be written in ARABIC.
# 3. The 'summary' should be a concise psychological insight (1-2 sentences) in ARABIC just in Arabic.
# 4. 'compatible_type': The 4-letter MBTI code in ENGLISH that best matches the user.

# User Text:
# \"\"\"{data.user_text}\"\"\"
# Respond ONLY in ARABIC
# Respond ONLY in valid JSON.

# """
#     analysis_prompt = """
# Analyze the following text based on MBTI theory.
# Return ONLY a JSON object with this EXACT structure:
# {{
#   "personality_type": "MUST be the 4-letter MBTI code that is the user's identified type. (e.g., 'INFJ')",
#   "decision_making": {{ "summary": "تحليل باللغة العربية هنا" }},
#   "energy": {{ "summary": "تحليل باللغة العربية هنا" }},
#   "focus": {{ "summary": "تحليل باللغة العربية هنا" }},
#   "lifestyle": {{ "summary": "تحليل باللغة العربية هنا" }},
#   "compatible_type": "MUST be the 4-letter MBTI code that is the user's identified type. (e.g., 'INFJ')"
# }}

# User Text:"""
#     analysis_prompt +=f"""
# \"\"\"{data.user_text}\"\"\"
# """
    
    analysis_prompt = f"""
    أنت محلل شخصيات متخصص. حلل نص المستخدم واستخرج كود MBTI المكون من 4 أحرف فقط.

المطلوب:
1. الرد بصيغة JSON فقط.
2. الكود يجب أن يكون بالإنجليزية (مثل: ENFP).

النص المراد تحليله:

{data.user_text}
"""
    analysis_prompt +="""
قالب الرد:
{
    "mbti": "MUST be the 4-letter MBTI code that is the user's identified type. (e.g., 'INFJ')"
}
    """

    # print(analysis_prompt)

    payload = {
        "model": "qwen2.5:1.5b",#"qwen2.5:3b",#qwen2.5:7b
        "messages": [
            {"role": "system",   "content": "أنت خبير في تحليل الشخصيات النفسية. يجب أن تكون إجابتك دائماً بصيغة JSON صالحة فقط. استخدم اللغة العربية في كتابة التحليلات."},
            {"role": "user", "content": analysis_prompt}
        ],
        "options":{
            "temperature":0.3, 
        },
        "stream": False,
        "format": "json"
    }

    async with httpx.AsyncClient(timeout=400.0) as client:
        try:
            url = os.environ.get("OLLAMA_URL", OLLAMA_URL)
            response = await client.post(url, json=payload)
            response.raise_for_status()
            result = response.json()
            
            analysis_content = result.get("message", {}).get("content", "")
            # print(json.loads(analysis_content))
            return json.loads(analysis_content)
            
        except Exception as e:
            print(e)
            raise HTTPException(status_code=500, detail=str(e))

    uvicorn.run(app, host="0.0.0.0", port=os.environ.get("PORT",7860)) # منفذ مختلف عن سيرفر الدردشة