from .firebase_config import firebase_bucket
import base64
import os
import tempfile
from PIL import Image
import io
import asyncio
from typing import List, Optional
from datetime import datetime
import pytz
from src.utils.image_utils import base64_to_image


import asyncio
import functools


def upload_file_to_storage_sync(file_path, file_name):
    """
    Synchronous function to upload a file to Firebase Storage.

    param:
        file_path: str - The path of the file on the local machine to be uploaded.
        file_name: str - The name of the file in Firebase Storage.

    return:
        str - The public URL of the uploaded file.
    """
    blob = firebase_bucket.blob(file_name)
    blob.upload_from_filename(file_path)
    blob.make_public()

    return blob.public_url


async def upload_file_to_storage(file_path: str, file_name: str) -> str:
    """
    Asynchronous wrapper to upload a file to Firebase Storage using a thread pool.

    Args:
        file_path: str - The path of the file on the local machine to be uploaded.
        file_name: str - The name of the file in Firebase Storage.

    Returns:
        str - The public URL of the uploaded file.
    """
    loop = asyncio.get_event_loop()

    # Run the synchronous upload in a thread pool
    def upload_sync():
        blob = firebase_bucket.blob(file_name)
        blob.upload_from_filename(file_path)
        blob.make_public()
        return blob.public_url

    public_url = await loop.run_in_executor(None, upload_sync)
    return public_url


def delete_file_from_storage(file_name):
    """
    Delete a file from Firebase Storage
    param:
        file_name: str - The name of the file to be deleted
    return:
        bool - True if the file is deleted successfully, False if the file is not found
    """
    try:
        blob = firebase_bucket.blob(file_name)
        blob.delete()
        return True
    except Exception as e:
        print("Error:", e)
        return False


def delete_file_by_url(public_url):
    """
    Delete a file from Firebase Storage using its public URL
    param:
        public_url: str - The public URL of the file to be deleted
    return:
        bool - True if the file is deleted successfully, False if the file is not found
    """
    try:
        # Extract the file name from the public URL
        # URL format is typically: https://storage.googleapis.com/BUCKET_NAME/FILE_NAME
        file_name = public_url.split("/")[-1]

        # Delete the file using the extracted name
        return delete_file_from_storage(file_name)
    except Exception as e:
        print(f"Error deleting file by URL: {e}")
        return False


def list_all_files_in_storage():
    """
    View all files in Firebase Storage
    return:
        dict - Dictionary with keys are names and values are url of all files in Firebase Storage
    """
    blobs = firebase_bucket.list_blobs()
    blob_dict = {blob.name: blob.public_url for blob in blobs}
    return blob_dict


def download_file_from_storage(file_name, destination_path):
    """
    Download a file from Firebase Storage
    param:
        file_name: str - The name of the file to be downloaded
        destination_path: str - The path to save the downloaded file
    return:
        bool - True if the file is downloaded successfully, False if the file is not found
    """
    try:
        blob = firebase_bucket.blob(file_name)
        blob.download_to_filename(destination_path)
        print("da tai xun thanh cong")
        return True
    except Exception as e:
        print("Error:", e)
        return False


async def upload_base64_image_to_storage(
    base64_image: str, file_name: str, format: str = "JPEG"
) -> Optional[str]:
    """
    Upload a base64 image to Firebase Storage asynchronously.

    Args:
        base64_image: str - The base64 encoded image
        file_name: str - The name of the file to be uploaded
        format: str - The format to save the image in (JPEG, PNG, etc.)

    Returns:
        Optional[str] - The public URL of the uploaded file or None if failed
    """
    try:
        # Convert base64 to PIL Image
        image = base64_to_image(base64_image)

        # Create unique temp file path with appropriate extension
        temp_file_path = os.path.join(
            tempfile.gettempdir(),
            f"{file_name}_{datetime.now().timestamp()}.{format.lower()}",
        )

        # Save image in the specified format
        image.save(temp_file_path, format=format)

        try:
            # Upload to Firebase
            public_url = await upload_file_to_storage(
                temp_file_path, f"{file_name}.{format.lower()}"
            )
            return public_url
        finally:
            # Clean up temp file
            if os.path.exists(temp_file_path):
                os.remove(temp_file_path)

    except Exception as e:
        print(f"Error processing image {file_name}: {str(e)}")
        # If format is not JPEG, try again with JPEG
        if format.upper() != "JPEG":
            return await upload_base64_image_to_storage(
                base64_image, file_name, format="JPEG"
            )
        return None


async def process_images(base64_images: List[str]) -> List[Optional[str]]:
    """
    Process multiple base64 images concurrently.

    Args:
        base64_images: List[str] - List of base64 encoded images

    Returns:
        List[Optional[str]] - List of public URLs or None for failed uploads
    """
    tasks = []
    for idx, base64_image in enumerate(base64_images):
        timestamp = (
            datetime.now(pytz.timezone("Asia/Ho_Chi_Minh"))
            .replace(tzinfo=None)
            .strftime("%Y-%m-%d_%H-%M-%S")
        )
        file_name = f"image_{timestamp}_{idx}"

        # Determine format from base64 header or default to JPEG
        format = "JPEG"
        if "data:image/" in base64_image:
            mime_type = base64_image.split(";")[0].split("/")[1]
            if mime_type == "png":
                format = "PNG"
            elif mime_type == "webp":
                format = "WEBP"

        tasks.append(
            upload_base64_image_to_storage(base64_image, file_name, format=format)
        )

    return await asyncio.gather(*tasks, return_exceptions=True)