app.py

# --------------------- List Images Endpoint ---------------------
import os
os.environ["OMP_NUM_THREADS"] = "1"
import shutil
import uuid
import cv2
import numpy as np
import threading
import subprocess
import logging
import tempfile
import sys
from datetime import datetime,timedelta

import insightface
from insightface.app import FaceAnalysis
from huggingface_hub import hf_hub_download
from fastapi import FastAPI, UploadFile, File, HTTPException, Response, Depends, Security, Form
from fastapi.responses import RedirectResponse
from fastapi.security import HTTPBearer, HTTPAuthorizationCredentials
from motor.motor_asyncio import AsyncIOMotorClient
from bson import ObjectId
from bson.errors import InvalidId
import httpx
import uvicorn
import gradio as gr
from gradio import mount_gradio_app
from PIL import Image
import io

# DigitalOcean Spaces
import boto3
from botocore.client import Config
from typing import Optional

# --------------------- Logging ---------------------
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

# --------------------- Secrets & Paths ---------------------
REPO_ID = "HariLogicgo/face_swap_models"
MODELS_DIR = "./models"
os.makedirs(MODELS_DIR, exist_ok=True)

HF_TOKEN = os.getenv("HF_TOKEN")
API_SECRET_TOKEN = os.getenv("API_SECRET_TOKEN")

DO_SPACES_REGION = os.getenv("DO_SPACES_REGION", "blr1")
DO_SPACES_ENDPOINT = f"https://{DO_SPACES_REGION}.digitaloceanspaces.com"
DO_SPACES_KEY = os.getenv("DO_SPACES_KEY")
DO_SPACES_SECRET = os.getenv("DO_SPACES_SECRET")
DO_SPACES_BUCKET = os.getenv("DO_SPACES_BUCKET")

# NEW admin DB
ADMIN_MONGO_URL = os.getenv("ADMIN_MONGO_URL")
admin_client = AsyncIOMotorClient(ADMIN_MONGO_URL)
admin_db = admin_client.adminPanel
subcategories_col = admin_db.subcategories
media_clicks_col = admin_db.media_clicks

# OLD logs DB
MONGODB_URL = os.getenv("MONGODB_URL")
client = None
database = None

# --------------------- Download Models ---------------------
def download_models():
    logger.info("Downloading models...")
    inswapper_path = hf_hub_download(
        repo_id=REPO_ID,
        filename="models/inswapper_128.onnx",
        repo_type="model",
        local_dir=MODELS_DIR,
        token=HF_TOKEN
    )

    buffalo_files = ["1k3d68.onnx", "2d106det.onnx", "genderage.onnx", "det_10g.onnx", "w600k_r50.onnx"]
    for f in buffalo_files:
        hf_hub_download(
            repo_id=REPO_ID,
            filename=f"models/buffalo_l/" + f,
            repo_type="model",
            local_dir=MODELS_DIR,
            token=HF_TOKEN
        )

    logger.info("Models downloaded.")
    return inswapper_path


inswapper_path = download_models()

# --------------------- Face Analysis + Swapper ---------------------
providers = ['CUDAExecutionProvider', 'CPUExecutionProvider']
face_analysis_app = FaceAnalysis(name="buffalo_l", root=MODELS_DIR, providers=providers)
face_analysis_app.prepare(ctx_id=0, det_size=(640, 640))
swapper = insightface.model_zoo.get_model(inswapper_path, providers=providers)

# --------------------- CodeFormer ---------------------
CODEFORMER_PATH = "CodeFormer/inference_codeformer.py"

def ensure_codeformer():
    if not os.path.exists("CodeFormer"):
        subprocess.run("git clone https://github.com/sczhou/CodeFormer.git", shell=True, check=True)
        subprocess.run("pip install -r CodeFormer/requirements.txt", shell=True, check=True)
        subprocess.run("python CodeFormer/basicsr/setup.py develop", shell=True, check=True)
        subprocess.run("python CodeFormer/scripts/download_pretrained_models.py facelib", shell=True, check=True)
        subprocess.run("python CodeFormer/scripts/download_pretrained_models.py CodeFormer", shell=True, check=True)

ensure_codeformer()


# --------------------- FastAPI ---------------------
fastapi_app = FastAPI()

@fastapi_app.on_event("startup")
async def startup_db():
    global client, database
    logger.info("Initializing MongoDB for API logs...")
    client = AsyncIOMotorClient(MONGODB_URL)
    database = client.FaceSwap
    logger.info("MongoDB initialized for API logs")

@fastapi_app.on_event("shutdown")
async def shutdown_db():
    global client
    if client:
        client.close()
        logger.info("MongoDB connection closed")

# --------------------- Auth ---------------------
security = HTTPBearer()

def verify_token(credentials: HTTPAuthorizationCredentials = Security(security)):
    if credentials.credentials != API_SECRET_TOKEN:
        raise HTTPException(status_code=401, detail="Invalid or missing token")
    return credentials.credentials

# --------------------- Logging API Hits ---------------------
async def log_faceswap_hit(token: str, status: str = "success"):
    global database
    if database is None:
        return
    await database.api_logs.insert_one({
        "token": token,
        "endpoint": "/faceswap",
        "status": status,
        "timestamp": datetime.utcnow()
    })

# --------------------- Face Swap Pipeline ---------------------
swap_lock = threading.Lock()

def face_swap_and_enhance(src_img, tgt_img, temp_dir=None):
    try:
        with swap_lock:
            # Use a temp dir for intermediate files
            if temp_dir is None:
                temp_dir = os.path.join(tempfile.gettempdir(), f"faceswap_work_{uuid.uuid4().hex[:8]}")
            if os.path.exists(temp_dir):
                shutil.rmtree(temp_dir)
            os.makedirs(temp_dir, exist_ok=True)

            src_bgr = cv2.cvtColor(src_img, cv2.COLOR_RGB2BGR)
            tgt_bgr = cv2.cvtColor(tgt_img, cv2.COLOR_RGB2BGR)

            src_faces = face_analysis_app.get(src_bgr)
            tgt_faces = face_analysis_app.get(tgt_bgr)
            if not src_faces or not tgt_faces:
                return None, None, "❌ Face not detected in one of the images"

            swapped_path = os.path.join(temp_dir, f"swapped_{uuid.uuid4().hex[:8]}.jpg")
            swapped_bgr = swapper.get(tgt_bgr, tgt_faces[0], src_faces[0])
            if swapped_bgr is None:
                return None, None, "❌ Face swap failed"

            cv2.imwrite(swapped_path, swapped_bgr)

            python_cmd = sys.executable if sys.executable else "python3"
            cmd = f"{python_cmd} {CODEFORMER_PATH} -w 0.7 --input_path {swapped_path} --output_path {temp_dir} --bg_upsampler realesrgan --face_upsample"
            result = subprocess.run(cmd, shell=True, capture_output=True, text=True)
            if result.returncode != 0:
                return None, None, f"❌ CodeFormer failed:\n{result.stderr}"

            final_results_dir = os.path.join(temp_dir, "final_results")
            final_files = [f for f in os.listdir(final_results_dir) if f.endswith(".png")]
            if not final_files:
                return None, None, "❌ No enhanced image found"

            final_path = os.path.join(final_results_dir, final_files[0])
            final_img_bgr = cv2.imread(final_path)
            if final_img_bgr is None:
                return None, None, "❌ Failed to read enhanced image file"
            final_img = cv2.cvtColor(final_img_bgr, cv2.COLOR_BGR2RGB)

            return final_img, final_path, ""

    except Exception as e:
        return None, None, f"❌ Error: {str(e)}"
        
def compress_image(
    image_bytes: bytes,
    max_size=(1280, 1280),   # max width/height
    quality=75               # JPEG quality (60–80 is ideal)
) -> bytes:
    """
    Compress image by resizing and lowering quality.
    Returns compressed image bytes.
    """
    img = Image.open(io.BytesIO(image_bytes)).convert("RGB")

    # Resize while maintaining aspect ratio
    img.thumbnail(max_size, Image.LANCZOS)

    output = io.BytesIO()
    img.save(
        output,
        format="JPEG",
        quality=quality,
        optimize=True,
        progressive=True
    )

    return output.getvalue()

# --------------------- Gradio ---------------------
# with gr.Blocks() as demo:
#     gr.Markdown("Face Swap")

#     with gr.Row():
#         src_input = gr.Image(type="numpy", label="Upload Your Face")
#         tgt_input = gr.Image(type="numpy", label="Upload Target Image")

#     btn = gr.Button("Swap Face")
#     output_img = gr.Image(type="numpy", label="Enhanced Output")
#     download = gr.File(label="⬇️ Download Enhanced Image")
#     error_box = gr.Textbox(label="Logs / Errors", interactive=False)

#     def process(src, tgt):
#         img, path, err = face_swap_and_enhance(src, tgt)
#         return img, path, err

#     btn.click(process, [src_input, tgt_input], [output_img, download, error_box])

# --------------------- DigitalOcean Spaces Helper ---------------------
def get_spaces_client():
    session = boto3.session.Session()
    client = session.client(
        's3',
        region_name=DO_SPACES_REGION,
        endpoint_url=DO_SPACES_ENDPOINT,
        aws_access_key_id=DO_SPACES_KEY,
        aws_secret_access_key=DO_SPACES_SECRET,
        config=Config(signature_version='s3v4')
    )
    return client

def upload_to_spaces(file_bytes, key, content_type="image/png"):
    client = get_spaces_client()
    client.put_object(Bucket=DO_SPACES_BUCKET, Key=key, Body=file_bytes, ContentType=content_type, ACL='public-read')
    return f"{DO_SPACES_ENDPOINT}/{DO_SPACES_BUCKET}/{key}"

def download_from_spaces(key):
    client = get_spaces_client()
    obj = client.get_object(Bucket=DO_SPACES_BUCKET, Key=key)
    return obj['Body'].read()

# --------------------- API Endpoints ---------------------
@fastapi_app.get("/")
def root():
    return {"status": "healthy"}

@fastapi_app.get("/health")
async def health():
    return {"status": "healthy"}

from fastapi import Form
import requests
@fastapi_app.get("/test-admin-db")
async def test_admin_db():
    try:
        doc = await admin_db.list_collection_names()
        return {"ok": True, "collections": doc}
    except Exception as e:
        return {"ok": False, "error": str(e), "url": ADMIN_MONGO_URL}

@fastapi_app.post("/face-swap", dependencies=[Depends(verify_token)])
async def face_swap_api(
    source: UploadFile = File(...),
    target_category_id: str = Form(None),
    new_category_id: str = Form(None),
    user_id: Optional[str] = Form(None),
    credentials: HTTPAuthorizationCredentials = Security(security)
):
    start_time = datetime.utcnow()

    try:
        # ------------------------------------------------------------------
        # VALIDATION
        # ------------------------------------------------------------------
        # --------------------------------------------------------------
        # BACKWARD COMPATIBILITY FOR OLD ANDROID VERSIONS
        # --------------------------------------------------------------
        if target_category_id == "":
            target_category_id = None
        
        if new_category_id == "":
            new_category_id = None
        
        if user_id == "":
            user_id = None

        logger.info(f"[FaceSwap] Incoming request → target_category_id={target_category_id}, new_category_id={new_category_id}, user_id={user_id}")

        if target_category_id and new_category_id:
            raise HTTPException(400, "Provide only one of new_category_id or target_category_id.")

        if not target_category_id and not new_category_id:
            raise HTTPException(400, "Either new_category_id or target_category_id is required.")

        # ------------------------------------------------------------------
        # READ SOURCE IMAGE
        # ------------------------------------------------------------------
        src_bytes = await source.read()
        src_key = f"faceswap/source/{uuid.uuid4().hex}_{source.filename}"
        upload_to_spaces(src_bytes, src_key, content_type=source.content_type)

        # ------------------------------------------------------------------
        # CASE 1 : new_category_id → MongoDB lookup
        # ------------------------------------------------------------------
        if new_category_id:

            doc = await subcategories_col.find_one({
                "asset_images._id": ObjectId(new_category_id)
            })

            if not doc:
                raise HTTPException(404, "Asset image not found in database")

            # extract correct asset
            asset = next(
                (img for img in doc["asset_images"] if str(img["_id"]) == new_category_id),
                None
            )

            if not asset:
                raise HTTPException(404, "Asset image URL not found")

            # correct URL
            target_url = asset["url"]

            # correct categoryId (ObjectId)
            #category_oid = doc["categoryId"]   # <-- DO NOT CONVERT TO STRING
            subcategory_oid = doc["_id"]
    
            # ------------------------------------------------------------------#
            # # MEDIA_CLICKS (ONLY IF user_id PRESENT)
            # ------------------------------------------------------------------#
            if user_id:
                try:
                    user_id_clean = user_id.strip()
                    if not user_id_clean:
                        raise ValueError("user_id cannot be empty")
                    try:
                        user_oid = ObjectId(user_id_clean)
                    except (InvalidId, ValueError) as e:
                        logger.error(f"Invalid user_id format: {user_id_clean}")
                        raise ValueError(f"Invalid user_id format: {user_id_clean}")
                    
                    now = datetime.utcnow()
            
                    # Normalize dates (UTC midnight)
                    today_date = datetime(now.year, now.month, now.day)
            
                    # -------------------------------------------------
                    # STEP 1: Ensure root document exists
                    # -------------------------------------------------
                    await media_clicks_col.update_one(
                        {"userId": user_oid},
                        {
                            "$setOnInsert": {
                                "userId": user_oid,
                                "createdAt": now,
                                "ai_edit_complete": 0,
                                "ai_edit_daily_count": []
                            }
                        },
                        upsert=True
                    )
                    # -------------------------------------------------
                    # STEP 2: Handle DAILY USAGE (BINARY, NO DUPLICATES)
                    # -------------------------------------------------
                    doc = await media_clicks_col.find_one(
                        {"userId": user_oid},
                        {"ai_edit_daily_count": 1}
                    )
                    
                    daily_entries = doc.get("ai_edit_daily_count", []) if doc else []
                    
                    # Normalize today to UTC midnight
                    today_date = datetime(now.year, now.month, now.day)
                    
                    # Build normalized date → count map (THIS ENFORCES UNIQUENESS)
                    daily_map = {}
                    for entry in daily_entries:
                        d = entry["date"]
                        if isinstance(d, datetime):
                            d = datetime(d.year, d.month, d.day)
                        daily_map[d] = entry["count"]  # overwrite = no duplicates
                    
                    # Determine last recorded date
                    last_date = max(daily_map.keys()) if daily_map else today_date
                    
                    # Fill ALL missing days with count = 0
                    next_day = last_date + timedelta(days=1)
                    while next_day < today_date:
                        daily_map.setdefault(next_day, 0)
                        next_day += timedelta(days=1)
                    
                    # Mark today as used (binary)
                    daily_map[today_date] = 1
                    
                    # Rebuild list: OLDEST → NEWEST
                    final_daily_entries = [
                        {"date": d, "count": daily_map[d]}
                        for d in sorted(daily_map.keys())
                    ]
                    
                    # Keep only last 32 days
                    final_daily_entries = final_daily_entries[-32:]
                    
                    # Atomic replace
                    await media_clicks_col.update_one(
                        {"userId": user_oid},
                        {
                            "$set": {
                                "ai_edit_daily_count": final_daily_entries,
                                "updatedAt": now
                            }
                        }
                    )

                    # -------------------------------------------------
                    # STEP 3: Try updating existing subCategory
                    # -------------------------------------------------
                    update_result = await media_clicks_col.update_one(
                        {
                            "userId": user_oid,
                            "subCategories.subCategoryId": subcategory_oid
                        },
                        {
                            "$inc": {
                                "subCategories.$.click_count": 1,
                                "ai_edit_complete": 1
                            },
                            "$set": {
                                "subCategories.$.lastClickedAt": now,
                                "ai_edit_last_date": now,
                                "updatedAt": now
                            }
                        }
                    )
            
                    # -------------------------------------------------
                    # STEP 4: Push subCategory if missing
                    # -------------------------------------------------
                    if update_result.matched_count == 0:
                        await media_clicks_col.update_one(
                            {"userId": user_oid},
                            {
                                "$inc": {
                                    "ai_edit_complete": 1
                                },
                                "$set": {
                                    "ai_edit_last_date": now,
                                    "updatedAt": now
                                },
                                "$push": {
                                    "subCategories": {
                                        "subCategoryId": subcategory_oid,
                                        "click_count": 1,
                                        "lastClickedAt": now
                                    }
                                }
                            }
                        )
                    
                    # -------------------------------------------------
                    # STEP 5: Sort subCategories by lastClickedAt (ascending - oldest first)
                    # -------------------------------------------------
                    user_doc = await media_clicks_col.find_one({"userId": user_oid})
                    if user_doc and "subCategories" in user_doc:
                        subcategories = user_doc["subCategories"]
                        # Sort by lastClickedAt in ascending order (oldest first)
                        # Handle missing or None dates by using datetime.min
                        subcategories_sorted = sorted(
                            subcategories,
                            key=lambda x: x.get("lastClickedAt") if x.get("lastClickedAt") is not None else datetime.min
                        )
                        # Update with sorted array
                        await media_clicks_col.update_one(
                            {"userId": user_oid},
                            {
                                "$set": {
                                    "subCategories": subcategories_sorted,
                                    "updatedAt": now
                                }
                            }
                        )
            
                    logger.info(
                        "[MEDIA_CLICK] user=%s subCategory=%s ai_edit_complete++ daily_tracked",
                        user_id,
                        str(subcategory_oid)
                    )
            
                except Exception as media_err:
                    logger.error(f"MEDIA_CLICK ERROR: {media_err}")

#         # ------------------------------------------------------------------
#         # CASE 2 : target_category_id → DigitalOcean path (unchanged logic)
#         # ------------------------------------------------------------------
        if target_category_id:
            client = get_spaces_client()
            base_prefix = "faceswap/target/"
            resp = client.list_objects_v2(
                Bucket=DO_SPACES_BUCKET, Prefix=base_prefix, Delimiter="/"
            )
            
            # Extract categories from the CommonPrefixes
            categories = [p["Prefix"].split("/")[2] for p in resp.get("CommonPrefixes", [])]

            target_url = None
            
            # --- FIX STARTS HERE ---
            for category in categories:
                original_prefix = f"faceswap/target/{category}/original/"
                thumb_prefix = f"faceswap/target/{category}/thumb/" # Keep for file list check (optional but safe)
                
                # List objects in original/
                original_objects = client.list_objects_v2(
                    Bucket=DO_SPACES_BUCKET, Prefix=original_prefix
                ).get("Contents", [])

                # List objects in thumb/ (optional: for the old code's extra check)
                thumb_objects = client.list_objects_v2(
                    Bucket=DO_SPACES_BUCKET, Prefix=thumb_prefix
                ).get("Contents", [])
                
                # Extract only the filenames and filter for .png
                original_filenames = sorted([
                    obj["Key"].split("/")[-1] for obj in original_objects 
                    if obj["Key"].split("/")[-1].endswith(".png")
                ])
                thumb_filenames = [
                    obj["Key"].split("/")[-1] for obj in thumb_objects
                ]

                # Replicate the old indexing logic based on sorted filenames
                for idx, filename in enumerate(original_filenames, start=1):
                    cid = f"{category.lower()}image_{idx}"

                    # Optional: Replicate the thumb file check for 100% parity
                    # if filename in thumb_filenames and cid == target_category_id:
                    # Simpler check just on the ID, assuming thumb files are present
                    if cid == target_category_id:
                        # Construct the final target URL using the full prefix and the filename
                        target_url = f"{DO_SPACES_ENDPOINT}/{DO_SPACES_BUCKET}/{original_prefix}{filename}"
                        break
                
                if target_url:
                    break
            # --- FIX ENDS HERE ---

            if not target_url:
                raise HTTPException(404, "Target categoryId not found")
#         # ------------------------------------------------------------------
#         # DOWNLOAD TARGET IMAGE
#         # ------------------------------------------------------------------
        async with httpx.AsyncClient(timeout=30.0) as client:
            response = await client.get(target_url)
            response.raise_for_status()
            tgt_bytes = response.content

        src_bgr = cv2.imdecode(np.frombuffer(src_bytes, np.uint8), cv2.IMREAD_COLOR)
        tgt_bgr = cv2.imdecode(np.frombuffer(tgt_bytes, np.uint8), cv2.IMREAD_COLOR)

        if src_bgr is None or tgt_bgr is None:
            raise HTTPException(400, "Invalid image data")

        src_rgb = cv2.cvtColor(src_bgr, cv2.COLOR_BGR2RGB)
        tgt_rgb = cv2.cvtColor(tgt_bgr, cv2.COLOR_BGR2RGB)

        # ------------------------------------------------------------------
        # FACE SWAP EXECUTION
        # ------------------------------------------------------------------
        final_img, final_path, err = face_swap_and_enhance(src_rgb, tgt_rgb)
        if err:
            raise HTTPException(500, err)

        with open(final_path, "rb") as f:
            result_bytes = f.read()

        result_key = f"faceswap/result/{uuid.uuid4().hex}_enhanced.png"
        result_url = upload_to_spaces(result_bytes, result_key)
        # -------------------------------------------------
        # COMPRESS IMAGE (2–3 MB target)
        # -------------------------------------------------
        compressed_bytes = compress_image(
            image_bytes=result_bytes,
            max_size=(1280, 1280),
            quality=72
        )
        
        compressed_key = f"faceswap/result/{uuid.uuid4().hex}_enhanced_compressed.jpg"
        compressed_url = upload_to_spaces(
            compressed_bytes,
            compressed_key,
            content_type="image/jpeg"
        )
        end_time = datetime.utcnow()
        response_time_ms = (end_time - start_time).total_seconds() * 1000

        if database is not None:
            await database.api_logs.insert_one({
                "endpoint": "/face-swap",
                "status": "success",
                "response_time_ms": response_time_ms,
                "timestamp": end_time
            })


        return {
            "result_key": result_key,
            "result_url": result_url,
            "Compressed_Image_URL": compressed_url
        }
        
    except Exception as e:
        end_time = datetime.utcnow()
        response_time_ms = (end_time - start_time).total_seconds() * 1000

        if database is not None:
            await database.api_logs.insert_one({
                "endpoint": "/face-swap",
                "status": "fail",
                "response_time_ms": response_time_ms,
                "timestamp": end_time,
                "error": str(e)
            })

        raise HTTPException(500, f"Face swap failed: {str(e)}")

@fastapi_app.get("/preview/{result_key:path}")
async def preview_result(result_key: str):
    try:
        img_bytes = download_from_spaces(result_key)
    except Exception:
        raise HTTPException(status_code=404, detail="Result not found")
    return Response(
        content=img_bytes,
        media_type="image/png",
        headers={"Content-Disposition": "inline; filename=result.png"}
    )
# --------------------- Mount Gradio ---------------------


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

# # --------------------- List Images Endpoint ---------------------
# import os
# os.environ["OMP_NUM_THREADS"] = "1"
# import shutil
# import uuid
# import cv2
# import numpy as np
# import threading
# import subprocess
# import logging
# from datetime import datetime,timedelta

# import insightface
# from insightface.app import FaceAnalysis
# from huggingface_hub import hf_hub_download
# from fastapi import FastAPI, UploadFile, File, HTTPException, Response, Depends, Security, Form
# from fastapi.responses import RedirectResponse
# from fastapi.security import HTTPBearer, HTTPAuthorizationCredentials
# from motor.motor_asyncio import AsyncIOMotorClient
# from bson import ObjectId
# import requests
# import uvicorn
# import gradio as gr
# from gradio import mount_gradio_app

# # DigitalOcean Spaces
# import boto3
# from botocore.client import Config
# from typing import Optional

# # --------------------- Logging ---------------------
# logging.basicConfig(level=logging.INFO)
# logger = logging.getLogger(__name__)

# # --------------------- Secrets & Paths ---------------------
# REPO_ID = "HariLogicgo/face_swap_models"
# MODELS_DIR = "./models"
# os.makedirs(MODELS_DIR, exist_ok=True)

# HF_TOKEN = os.getenv("HF_TOKEN")
# API_SECRET_TOKEN = os.getenv("API_SECRET_TOKEN")

# DO_SPACES_REGION = os.getenv("DO_SPACES_REGION", "blr1")
# DO_SPACES_ENDPOINT = f"https://{DO_SPACES_REGION}.digitaloceanspaces.com"
# DO_SPACES_KEY = os.getenv("DO_SPACES_KEY")
# DO_SPACES_SECRET = os.getenv("DO_SPACES_SECRET")
# DO_SPACES_BUCKET = os.getenv("DO_SPACES_BUCKET")

# # NEW admin DB
# ADMIN_MONGO_URL = os.getenv("ADMIN_MONGO_URL")
# admin_client = AsyncIOMotorClient(ADMIN_MONGO_URL)
# admin_db = admin_client.adminPanel
# subcategories_col = admin_db.subcategories
# media_clicks_col = admin_db.media_clicks

# # OLD logs DB
# MONGODB_URL = os.getenv("MONGODB_URL")
# client = None
# database = None

# # --------------------- Download Models ---------------------
# def download_models():
#     logger.info("Downloading models...")
#     inswapper_path = hf_hub_download(
#         repo_id=REPO_ID,
#         filename="models/inswapper_128.onnx",
#         repo_type="model",
#         local_dir=MODELS_DIR,
#         token=HF_TOKEN
#     )

#     buffalo_files = ["1k3d68.onnx", "2d106det.onnx", "genderage.onnx", "det_10g.onnx", "w600k_r50.onnx"]
#     for f in buffalo_files:
#         hf_hub_download(
#             repo_id=REPO_ID,
#             filename=f"models/buffalo_l/" + f,
#             repo_type="model",
#             local_dir=MODELS_DIR,
#             token=HF_TOKEN
#         )

#     logger.info("Models downloaded.")
#     return inswapper_path


# inswapper_path = download_models()

# # --------------------- Face Analysis + Swapper ---------------------
# providers = ['CUDAExecutionProvider', 'CPUExecutionProvider']
# face_analysis_app = FaceAnalysis(name="buffalo_l", root=MODELS_DIR, providers=providers)
# face_analysis_app.prepare(ctx_id=0, det_size=(640, 640))
# swapper = insightface.model_zoo.get_model(inswapper_path, providers=providers)

# # --------------------- CodeFormer ---------------------
# CODEFORMER_PATH = "CodeFormer/inference_codeformer.py"

# def ensure_codeformer():
#     if not os.path.exists("CodeFormer"):
#         subprocess.run("git clone https://github.com/sczhou/CodeFormer.git", shell=True, check=True)
#         subprocess.run("pip install -r CodeFormer/requirements.txt", shell=True, check=True)
#         subprocess.run("python CodeFormer/basicsr/setup.py develop", shell=True, check=True)
#         subprocess.run("python CodeFormer/scripts/download_pretrained_models.py facelib", shell=True, check=True)
#         subprocess.run("python CodeFormer/scripts/download_pretrained_models.py CodeFormer", shell=True, check=True)

# ensure_codeformer()


# # --------------------- FastAPI ---------------------
# fastapi_app = FastAPI()

# @fastapi_app.on_event("startup")
# async def startup_db():
#     global client, database
#     logger.info("Initializing MongoDB for API logs...")
#     client = AsyncIOMotorClient(MONGODB_URL)
#     database = client.FaceSwap
#     logger.info("MongoDB initialized for API logs")

# @fastapi_app.on_event("shutdown")
# async def shutdown_db():
#     global client
#     if client:
#         client.close()
#         logger.info("MongoDB connection closed")

# # --------------------- Auth ---------------------
# security = HTTPBearer()

# def verify_token(credentials: HTTPAuthorizationCredentials = Security(security)):
#     if credentials.credentials != API_SECRET_TOKEN:
#         raise HTTPException(status_code=401, detail="Invalid or missing token")
#     return credentials.credentials

# # --------------------- Logging API Hits ---------------------
# async def log_faceswap_hit(token: str, status: str = "success"):
#     global database
#     if database is None:
#         return
#     await database.api_logs.insert_one({
#         "token": token,
#         "endpoint": "/faceswap",
#         "status": status,
#         "timestamp": datetime.utcnow()
#     })

# # --------------------- Face Swap Pipeline ---------------------
# swap_lock = threading.Lock()

# def face_swap_and_enhance(src_img, tgt_img, temp_dir="/tmp/faceswap_work"):
#     try:
#         with swap_lock:
#             # Use a temp dir for intermediate files
#             if os.path.exists(temp_dir):
#                 shutil.rmtree(temp_dir)
#             os.makedirs(temp_dir, exist_ok=True)

#             src_bgr = cv2.cvtColor(src_img, cv2.COLOR_RGB2BGR)
#             tgt_bgr = cv2.cvtColor(tgt_img, cv2.COLOR_RGB2BGR)

#             src_faces = face_analysis_app.get(src_bgr)
#             tgt_faces = face_analysis_app.get(tgt_bgr)
#             if not src_faces or not tgt_faces:
#                 return None, None, "❌ Face not detected in one of the images"

#             swapped_path = os.path.join(temp_dir, f"swapped_{uuid.uuid4().hex[:8]}.jpg")
#             swapped_bgr = swapper.get(tgt_bgr, tgt_faces[0], src_faces[0])
#             if swapped_bgr is None:
#                 return None, None, "❌ Face swap failed"

#             cv2.imwrite(swapped_path, swapped_bgr)

#             cmd = f"python {CODEFORMER_PATH} -w 0.7 --input_path {swapped_path} --output_path {temp_dir} --bg_upsampler realesrgan --face_upsample"
#             result = subprocess.run(cmd, shell=True, capture_output=True, text=True)
#             if result.returncode != 0:
#                 return None, None, f"❌ CodeFormer failed:\n{result.stderr}"

#             final_results_dir = os.path.join(temp_dir, "final_results")
#             final_files = [f for f in os.listdir(final_results_dir) if f.endswith(".png")]
#             if not final_files:
#                 return None, None, "❌ No enhanced image found"

#             final_path = os.path.join(final_results_dir, final_files[0])
#             final_img = cv2.cvtColor(cv2.imread(final_path), cv2.COLOR_BGR2RGB)

#             return final_img, final_path, ""

#     except Exception as e:
#         return None, None, f"❌ Error: {str(e)}"

# # --------------------- Gradio ---------------------
# with gr.Blocks() as demo:
#     gr.Markdown("Face Swap")

#     with gr.Row():
#         src_input = gr.Image(type="numpy", label="Upload Your Face")
#         tgt_input = gr.Image(type="numpy", label="Upload Target Image")

#     btn = gr.Button("Swap Face")
#     output_img = gr.Image(type="numpy", label="Enhanced Output")
#     download = gr.File(label="⬇️ Download Enhanced Image")
#     error_box = gr.Textbox(label="Logs / Errors", interactive=False)

#     def process(src, tgt):
#         img, path, err = face_swap_and_enhance(src, tgt)
#         return img, path, err

#     btn.click(process, [src_input, tgt_input], [output_img, download, error_box])

# # --------------------- DigitalOcean Spaces Helper ---------------------
# def get_spaces_client():
#     session = boto3.session.Session()
#     client = session.client(
#         's3',
#         region_name=DO_SPACES_REGION,
#         endpoint_url=DO_SPACES_ENDPOINT,
#         aws_access_key_id=DO_SPACES_KEY,
#         aws_secret_access_key=DO_SPACES_SECRET,
#         config=Config(signature_version='s3v4')
#     )
#     return client

# def upload_to_spaces(file_bytes, key, content_type="image/png"):
#     client = get_spaces_client()
#     client.put_object(Bucket=DO_SPACES_BUCKET, Key=key, Body=file_bytes, ContentType=content_type, ACL='public-read')
#     return f"{DO_SPACES_ENDPOINT}/{DO_SPACES_BUCKET}/{key}"

# def download_from_spaces(key):
#     client = get_spaces_client()
#     obj = client.get_object(Bucket=DO_SPACES_BUCKET, Key=key)
#     return obj['Body'].read()

# # --------------------- API Endpoints ---------------------
# @fastapi_app.get("/")
# def root():
#     return RedirectResponse("/gradio")

# @fastapi_app.get("/health")
# async def health():
#     return {"status": "healthy"}

# from fastapi import Form
# import requests
# @fastapi_app.get("/test-admin-db")
# async def test_admin_db():
#     try:
#         doc = await admin_db.list_collection_names()
#         return {"ok": True, "collections": doc}
#     except Exception as e:
#         return {"ok": False, "error": str(e), "url": ADMIN_MONGO_URL}

# @fastapi_app.post("/face-swap", dependencies=[Depends(verify_token)])
# async def face_swap_api(
#     source: UploadFile = File(...),
#     target_category_id: str = Form(None),
#     new_category_id: str = Form(None),
#     user_id: Optional[str] = Form(None),
#     credentials: HTTPAuthorizationCredentials = Security(security)
# ):
#     start_time = datetime.utcnow()

#     try:
#         # ------------------------------------------------------------------
#         # VALIDATION
#         # ------------------------------------------------------------------
#         # --------------------------------------------------------------
#         # BACKWARD COMPATIBILITY FOR OLD ANDROID VERSIONS
#         # --------------------------------------------------------------
#         if target_category_id == "":
#             target_category_id = None
        
#         if new_category_id == "":
#             new_category_id = None
        
#         if user_id == "":
#             user_id = None

#         logger.info(f"[FaceSwap] Incoming request → target_category_id={target_category_id}, new_category_id={new_category_id}, user_id={user_id}")

#         if target_category_id and new_category_id:
#             raise HTTPException(400, "Provide only one of new_category_id or target_category_id.")

#         if not target_category_id and not new_category_id:
#             raise HTTPException(400, "Either new_category_id or target_category_id is required.")

#         # ------------------------------------------------------------------
#         # READ SOURCE IMAGE
#         # ------------------------------------------------------------------
#         src_bytes = await source.read()
#         src_key = f"faceswap/source/{uuid.uuid4().hex}_{source.filename}"
#         upload_to_spaces(src_bytes, src_key, content_type=source.content_type)

#         # ------------------------------------------------------------------
#         # CASE 1 : new_category_id → MongoDB lookup
#         # ------------------------------------------------------------------
#         if new_category_id:

#             doc = await subcategories_col.find_one({
#                 "asset_images._id": ObjectId(new_category_id)
#             })

#             if not doc:
#                 raise HTTPException(404, "Asset image not found in database")

#             # extract correct asset
#             asset = next(
#                 (img for img in doc["asset_images"] if str(img["_id"]) == new_category_id),
#                 None
#             )

#             if not asset:
#                 raise HTTPException(404, "Asset image URL not found")

#             # correct URL
#             target_url = asset["url"]

#             # correct categoryId (ObjectId)
#             #category_oid = doc["categoryId"]   # <-- DO NOT CONVERT TO STRING
#             subcategory_oid = doc["_id"]
    
#             # ------------------------------------------------------------------#
#             # # MEDIA_CLICKS (ONLY IF user_id PRESENT)
#             # ------------------------------------------------------------------#
#             if user_id:
#                 try:
#                     user_oid = ObjectId(user_id.strip())
#                     now = datetime.utcnow()
            
#                     # Normalize dates (UTC midnight)
#                     today_date = datetime(now.year, now.month, now.day)
#                     yesterday_date = today_date - timedelta(days=1)
            
#                     # -------------------------------------------------
#                     # STEP 1: Ensure root document exists
#                     # -------------------------------------------------
#                     await media_clicks_col.update_one(
#                         {"userId": user_oid},
#                         {
#                             "$setOnInsert": {
#                                 "userId": user_oid,
#                                 "createdAt": now,
#                                 "ai_edit_complete": 0,
#                                 "ai_edit_daily_count": []
#                             }
#                         },
#                         upsert=True
#                     )
#                     # -------------------------------------------------
#                     # STEP 2: Handle DAILY USAGE (BINARY, NO DUPLICATES)
#                     # -------------------------------------------------
#                     doc = await media_clicks_col.find_one(
#                         {"userId": user_oid},
#                         {"ai_edit_daily_count": 1}
#                     )
                    
#                     daily_entries = doc.get("ai_edit_daily_count", []) if doc else []
                    
#                     # Normalize today to UTC midnight
#                     today_date = datetime(now.year, now.month, now.day)
                    
#                     # Build normalized date → count map (THIS ENFORCES UNIQUENESS)
#                     daily_map = {}
#                     for entry in daily_entries:
#                         d = entry["date"]
#                         if isinstance(d, datetime):
#                             d = datetime(d.year, d.month, d.day)
#                         daily_map[d] = entry["count"]  # overwrite = no duplicates
                    
#                     # Determine last recorded date
#                     last_date = max(daily_map.keys()) if daily_map else today_date
                    
#                     # Fill ALL missing days with count = 0
#                     next_day = last_date + timedelta(days=1)
#                     while next_day < today_date:
#                         daily_map.setdefault(next_day, 0)
#                         next_day += timedelta(days=1)
                    
#                     # Mark today as used (binary)
#                     daily_map[today_date] = 1
                    
#                     # Rebuild list: OLDEST → NEWEST
#                     final_daily_entries = [
#                         {"date": d, "count": daily_map[d]}
#                         for d in sorted(daily_map.keys())
#                     ]
                    
#                     # Keep only last 32 days
#                     final_daily_entries = final_daily_entries[-32:]
                    
#                     # Atomic replace
#                     await media_clicks_col.update_one(
#                         {"userId": user_oid},
#                         {
#                             "$set": {
#                                 "ai_edit_daily_count": final_daily_entries,
#                                 "updatedAt": now
#                             }
#                         }
#                     )

#                     # -------------------------------------------------
#                     # STEP 3: Try updating existing subCategory
#                     # -------------------------------------------------
#                     update_result = await media_clicks_col.update_one(
#                         {
#                             "userId": user_oid,
#                             "subCategories.subCategoryId": subcategory_oid
#                         },
#                         {
#                             "$inc": {
#                                 "subCategories.$.click_count": 1,
#                                 "ai_edit_complete": 1
#                             },
#                             "$set": {
#                                 "subCategories.$.lastClickedAt": now,
#                                 "ai_edit_last_date": now,
#                                 "updatedAt": now
#                             }
#                         }
#                     )
            
#                     # -------------------------------------------------
#                     # STEP 4: Push subCategory if missing
#                     # -------------------------------------------------
#                     if update_result.matched_count == 0:
#                         await media_clicks_col.update_one(
#                             {"userId": user_oid},
#                             {
#                                 "$inc": {
#                                     "ai_edit_complete": 1
#                                 },
#                                 "$set": {
#                                     "ai_edit_last_date": now,
#                                     "updatedAt": now
#                                 },
#                                 "$push": {
#                                     "subCategories": {
#                                         "subCategoryId": subcategory_oid,
#                                         "click_count": 1,
#                                         "lastClickedAt": now
#                                     }
#                                 }
#                             }
#                         )
            
#                     logger.info(
#                         "[MEDIA_CLICK] user=%s subCategory=%s ai_edit_complete++ daily_tracked",
#                         user_id,
#                         str(subcategory_oid)
#                     )
            
#                 except Exception as media_err:
#                     logger.error(f"MEDIA_CLICK ERROR: {media_err}")

# #         # ------------------------------------------------------------------
# #         # CASE 2 : target_category_id → DigitalOcean path (unchanged logic)
# #         # ------------------------------------------------------------------
#         if target_category_id:
#             client = get_spaces_client()
#             base_prefix = "faceswap/target/"
#             resp = client.list_objects_v2(
#                 Bucket=DO_SPACES_BUCKET, Prefix=base_prefix, Delimiter="/"
#             )
            
#             # Extract categories from the CommonPrefixes
#             categories = [p["Prefix"].split("/")[2] for p in resp.get("CommonPrefixes", [])]

#             target_url = None
            
#             # --- FIX STARTS HERE ---
#             for category in categories:
#                 original_prefix = f"faceswap/target/{category}/original/"
#                 thumb_prefix = f"faceswap/target/{category}/thumb/" # Keep for file list check (optional but safe)
                
#                 # List objects in original/
#                 original_objects = client.list_objects_v2(
#                     Bucket=DO_SPACES_BUCKET, Prefix=original_prefix
#                 ).get("Contents", [])

#                 # List objects in thumb/ (optional: for the old code's extra check)
#                 thumb_objects = client.list_objects_v2(
#                     Bucket=DO_SPACES_BUCKET, Prefix=thumb_prefix
#                 ).get("Contents", [])
                
#                 # Extract only the filenames and filter for .png
#                 original_filenames = sorted([
#                     obj["Key"].split("/")[-1] for obj in original_objects 
#                     if obj["Key"].split("/")[-1].endswith(".png")
#                 ])
#                 thumb_filenames = [
#                     obj["Key"].split("/")[-1] for obj in thumb_objects
#                 ]

#                 # Replicate the old indexing logic based on sorted filenames
#                 for idx, filename in enumerate(original_filenames, start=1):
#                     cid = f"{category.lower()}image_{idx}"

#                     # Optional: Replicate the thumb file check for 100% parity
#                     # if filename in thumb_filenames and cid == target_category_id:
#                     # Simpler check just on the ID, assuming thumb files are present
#                     if cid == target_category_id:
#                         # Construct the final target URL using the full prefix and the filename
#                         target_url = f"{DO_SPACES_ENDPOINT}/{DO_SPACES_BUCKET}/{original_prefix}{filename}"
#                         break
                
#                 if target_url:
#                     break
#             # --- FIX ENDS HERE ---

#             if not target_url:
#                 raise HTTPException(404, "Target categoryId not found")
# #         # ------------------------------------------------------------------
# #         # DOWNLOAD TARGET IMAGE
# #         # ------------------------------------------------------------------
#         tgt_bytes = requests.get(target_url).content

#         src_bgr = cv2.imdecode(np.frombuffer(src_bytes, np.uint8), cv2.IMREAD_COLOR)
#         tgt_bgr = cv2.imdecode(np.frombuffer(tgt_bytes, np.uint8), cv2.IMREAD_COLOR)

#         if src_bgr is None or tgt_bgr is None:
#             raise HTTPException(400, "Invalid image data")

#         src_rgb = cv2.cvtColor(src_bgr, cv2.COLOR_BGR2RGB)
#         tgt_rgb = cv2.cvtColor(tgt_bgr, cv2.COLOR_BGR2RGB)

#         # ------------------------------------------------------------------
#         # FACE SWAP EXECUTION
#         # ------------------------------------------------------------------
#         final_img, final_path, err = face_swap_and_enhance(src_rgb, tgt_rgb)
#         if err:
#             raise HTTPException(500, err)

#         with open(final_path, "rb") as f:
#             result_bytes = f.read()

#         result_key = f"faceswap/result/{uuid.uuid4().hex}_enhanced.png"
#         result_url = upload_to_spaces(result_bytes, result_key)
#         end_time = datetime.utcnow()
#         response_time_ms = (end_time - start_time).total_seconds() * 1000

#         if database is not None:
#             await database.api_logs.insert_one({
#                 "endpoint": "/face-swap",
#                 "status": "success",
#                 "response_time_ms": response_time_ms,
#                 "timestamp": end_time
#             })


#         return {
#             "result_key": result_key,
#             "result_url": result_url
#         }
        
#     except Exception as e:
#         end_time = datetime.utcnow()
#         response_time_ms = (end_time - start_time).total_seconds() * 1000

#         if database is not None:
#             await database.api_logs.insert_one({
#                 "endpoint": "/face-swap",
#                 "status": "fail",
#                 "response_time_ms": response_time_ms,
#                 "timestamp": end_time,
#                 "error": str(e)
#             })

#         raise HTTPException(500, f"Face swap failed: {str(e)}")

# @fastapi_app.get("/preview/{result_key:path}")
# async def preview_result(result_key: str):
#     try:
#         img_bytes = download_from_spaces(result_key)
#     except Exception:
#         raise HTTPException(status_code=404, detail="Result not found")
#     return Response(
#         content=img_bytes,
#         media_type="image/png",
#         headers={"Content-Disposition": "inline; filename=result.png"}
#     )
# # --------------------- Mount Gradio ---------------------
# fastapi_app = mount_gradio_app(fastapi_app, demo, path="/gradio")

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