import os
import cv2
import chromadb
from chromadb.utils.embedding_functions import OpenCLIPEmbeddingFunction
from chromadb.utils.data_loaders import ImageLoader

# Initialize ChromaDB client and collection
path = "mm_vdb2"
client = chromadb.PersistentClient(path=path)

image_loader = ImageLoader()
CLIP = OpenCLIPEmbeddingFunction()
video_collection = client.get_or_create_collection(
    name='video_collection',
    embedding_function=CLIP,
    data_loader=image_loader
)

def extract_frames(video_folder, output_folder):
    """
    Extracts frames from all videos in the video_folder and saves them in the output_folder.
    
    Args:
        video_folder (str): Path to the folder containing video files.
        output_folder (str): Path to the folder where extracted frames will be saved.
    """
    if not os.path.exists(output_folder):
        os.makedirs(output_folder)

    for video_filename in os.listdir(video_folder):
        if video_filename.endswith('.mp4'):
            video_path = os.path.join(video_folder, video_filename)
            video_capture = cv2.VideoCapture(video_path)
            fps = video_capture.get(cv2.CAP_PROP_FPS)
            frame_count = int(video_capture.get(cv2.CAP_PROP_FRAME_COUNT))
            duration = frame_count / fps

            output_subfolder = os.path.join(output_folder, os.path.splitext(video_filename)[0])
            if not os.path.exists(output_subfolder):
                os.makedirs(output_subfolder)

            success, image = video_capture.read()
            frame_number = 0
            while success:
                # Save frames at 0 seconds, every 5 seconds, and the last frame
                if frame_number == 0 or frame_number % int(fps * 5) == 0 or frame_number == frame_count - 1:
                    frame_time = frame_number / fps
                    output_frame_filename = os.path.join(output_subfolder, f'frame_{int(frame_time)}.jpg')
                    cv2.imwrite(output_frame_filename, image)

                success, image = video_capture.read()
                frame_number += 1

            video_capture.release()


def add_frames_to_chromadb(video_dir, frames_dir):
    """
    Adds extracted frames from videos to the ChromaDB collection.
    
    Args:
        video_dir (str): Path to the folder containing video files.
        frames_dir (str): Path to the folder containing the extracted frames.
    """
    # Dictionary to hold video titles and their corresponding frames
    video_frames = {}

    # Process each video and associate its frames
    for video_file in os.listdir(video_dir):
        if video_file.endswith('.mp4'):
            video_title = video_file[:-4]
            frame_folder = os.path.join(frames_dir, video_title)
            if os.path.exists(frame_folder):
                # List all jpg files in the folder
                video_frames[video_title] = [f for f in os.listdir(frame_folder) if f.endswith('.jpg')]

    # Prepare ids, uris, and metadatas for ChromaDB
    ids = []
    uris = []
    metadatas = []

    for video_title, frames in video_frames.items():
        video_path = os.path.join(video_dir, f"{video_title}.mp4")
        for frame in frames:
            frame_id = f"{frame[:-4]}_{video_title}"
            frame_path = os.path.join(frames_dir, video_title, frame)
            ids.append(frame_id)
            uris.append(frame_path)
            metadatas.append({'video_uri': video_path})

    # Add frames to the ChromaDB collection
    video_collection.add(ids=ids, uris=uris, metadatas=metadatas)


def initiate_video(video_folder_path):
    """
    Initiates the video processing pipeline: extracts frames from videos
    and adds them to the ChromaDB collection.

    Args:
        video_folder_path (str): Path to the folder containing video files.

    Returns:
        The ChromaDB collection with the added frames.
    """
    try:
        print("Starting video processing pipeline...")

        # Define output folder for extracted frames
        output_folder_path = os.path.join(video_folder_path, 'extracted_frames')

        # Extract frames from videos
        print("Extracting frames...")
        extract_frames(video_folder_path, output_folder_path)
        print("Frames extracted successfully.")

        # Add frames to ChromaDB collection
        print("Adding frames to ChromaDB...")
        add_frames_to_chromadb(video_folder_path, output_folder_path)
        print("Frames added to ChromaDB successfully.")

        return video_collection

    except Exception as e:
        print(f"An error occurred during video processing: {e}")
        return None