app.py

from fastapi import FastAPI, File, UploadFile, Form, HTTPException
from deepface import DeepFace
import os
import uuid

# FastAPI ilovasini yaratamiz
app = FastAPI(title="Face Verification API")

# Talabalarning asl rasmlari saqlanadigan papka
STUDENT_IMAGE_DIR = "student_images"
os.makedirs(STUDENT_IMAGE_DIR, exist_ok=True)

@app.get("/")
def read_root():
    return {"message": "Face Verification API ishga tushdi. /verify/ manziliga POST so'rov yuborishingiz mumkin."}

@app.post("/verify/")
async def verify_face(
    image: UploadFile = File(..., description="Kameradan olingan talaba rasmi"),
    pinfl: str = Form(..., description="Talabaning PINFL raqami")
):
    live_image_path = f"{str(uuid.uuid4())}.jpg"
    try:
        # 1. Talabaning tizimdagi asl rasmini topish
        student_image_path = os.path.join(STUDENT_IMAGE_DIR, f"{pinfl}.jpg")
        if not os.path.exists(student_image_path):
            raise HTTPException(status_code=404, detail=f"{pinfl} raqamli talaba uchun tizimda rasm topilmadi.")

        # 2. Kelgan rasmni vaqtinchalik saqlash
        with open(live_image_path, "wb") as buffer:
            buffer.write(await image.read())

        # 3. DeepFace orqali solishtirish
        result = DeepFace.verify(
            img1_path=student_image_path,
            img2_path=live_image_path,
            model_name="VGG-Face",
            detector_backend="mtcnn"
        )

        # 4. Natijani JSON formatida qaytarish
        similarity = (1 - result['distance']) * 100
        return {
            "is_match": bool(result["verified"]),
            "similarity_percentage": round(similarity, 2),
            "pinfl": pinfl
        }
    except HTTPException as e:
        raise e
    except Exception as e:
        raise HTTPException(status_code=500, detail=f"Ichki xatolik yuz berdi: {str(e)}")
    finally:
        # Vaqtinchalik faylni o'chirish
        if os.path.exists(live_image_path):
            os.remove(live_image_path)