main.py

from fastapi import FastAPI
from pydantic import BaseModel
from transformers import pipeline
import uvicorn

# =========================
# إنشاء التطبيق
# =========================

app = FastAPI(
    title="Rafiq AI Recommendation System",
    description="AI therapy recommendation system for autism children",
    version="1.0"
)

# =========================
# تحميل موديل الذكاء الاصطناعي
# =========================

generator = pipeline(
    "text-generation",
    model="distilgpt2"
)

# =========================
# Request Model
# =========================

class ChildAssessment(BaseModel):
    cars_score: float
    vineland_avg: float
    behavior_score: float

# =========================
# تحديد المرحلة
# =========================

def determine_stage(composite_score):

    if composite_score >= 48:
        return {
            "stage": 1,
            "name": "التعرف الاجتماعي",
            "activities": [
                "التعرف على الأم والأب",
                "التعرف على الإخوات",
                "التعرف على الحيوانات الأساسية",
                "التعرف على الخضروات والفواكه",
                "التعرف على المنزل والمدرسة"
            ],
            "sessions": 5,
            "repetitions": 10,
            "break_time": "يوم"
        }

    elif composite_score >= 32:
        return {
            "stage": 2,
            "name": "التفاعل الاجتماعي",
            "activities": [
                "فهم نعم ولا",
                "مرحبا وباي",
                "تبادل الأدوار",
                "اللعب الجماعي",
                "انتظار الدور"
            ],
            "sessions": 4,
            "repetitions": 8,
            "break_time": "يومين"
        }

    else:
        return {
            "stage": 3,
            "name": "التواصل الاجتماعي",
            "activities": [
                "بدء الحوار",
                "الإجابة على الأسئلة",
                "التعبير عن الاحتياجات",
                "بدء اللعب مع الآخرين",
                "المحادثات البسيطة"
            ],
            "sessions": 3,
            "repetitions": 5,
            "break_time": "3 أيام"
        }

# =========================
# AI Recommendation Endpoint
# =========================

@app.post("/recommend")
def recommend(data: ChildAssessment):

    # =====================
    # حساب الدرجة المركبة
    # =====================

    composite_score = (
        (data.cars_score * 0.5)
        + ((2 - data.vineland_avg) * 25 * 0.3)
        + (data.behavior_score * 0.2)
    )

    # =====================
    # تحديد شدة الحالة
    # =====================

    if composite_score >= 48:
        severity = "شديد"
    elif composite_score >= 32:
        severity = "متوسط"
    else:
        severity = "خفيف"

    # =====================
    # تحديد المرحلة
    # =====================

    stage_info = determine_stage(composite_score)

    # =====================
    # Prompt للـ AI
    # =====================

    prompt = f"""

    طفل توحد لديه:



    CARS Score = {data.cars_score}

    Vineland Average = {data.vineland_avg}

    Behavior Score = {data.behavior_score}



    شدة الحالة: {severity}



    المرحلة الحالية:

    {stage_info['name']}



    الأنشطة:

    {', '.join(stage_info['activities'])}



    اكتب نصيحة علاجية قصيرة ومفيدة للأهل.

    """

    # =====================
    # توليد النص
    # =====================

    result = generator(
        prompt,
        max_length=120,
        do_sample=True,
        temperature=0.7
    )

    ai_text = result[0]["generated_text"]

    # =====================
    # Response
    # =====================

    return {

        "severity": severity,

        "recommended_stage": stage_info["stage"],

        "stage_name": stage_info["name"],

        "activities": stage_info["activities"],

        "sessions_per_week": stage_info["sessions"],

        "repetitions_per_activity": stage_info["repetitions"],

        "break_between_sessions": stage_info["break_time"],

        "composite_score": round(composite_score, 2),

        "ai_recommendation": ai_text
    }

# =========================
# Home Endpoint
# =========================

@app.get("/")
def home():
    return {
        "message": "Rafiq AI Recommendation System Running"
    }

# =========================
# تشغيل السيرفر
# =========================

if __name__ == "__main__":
    uvicorn.run(app, host="0.0.0.0", port=7860)