import cv2
import os
from pathlib import Path
from rich.progress import (
    Progress,
    SpinnerColumn,
    TextColumn,
    BarColumn,
    TaskProgressColumn,
    MofNCompleteColumn,
)

BASE_DIR = Path("./data")
OUTPUT_DIR = Path("./frames")

affected_dir = BASE_DIR / "affected"
unaffected_dir = BASE_DIR / "unaffected"

dataset = {
    "affected": list(affected_dir.glob("*.mp4")),
    "unaffected": list(unaffected_dir.glob("*.mp4")),
}

os.makedirs(OUTPUT_DIR, exist_ok=True)

# Define the frame skip, use 1 to extract all frames
FRAME_SKIP = 10

total_frames_to_save = 0
for label, videos in dataset.items():
    for video in videos:
        cap = cv2.VideoCapture(str(video))
        frames = int(cap.get(cv2.CAP_PROP_FRAME_COUNT))
        total_frames_to_save += (frames - 1) // FRAME_SKIP + 1
        cap.release()

with Progress(
    SpinnerColumn(),
    TextColumn("[progress.description]{task.description}"),
    BarColumn(),
    TaskProgressColumn(),
    MofNCompleteColumn(),
) as progress:
    task = progress.add_task("[cyan]Extracting frames...", total=total_frames_to_save)

    for label, videos in dataset.items():
        for video in videos:
            cap = cv2.VideoCapture(str(video))
            video_dir = OUTPUT_DIR / label / video.stem

            os.makedirs(video_dir, exist_ok=True)

            frameCount = 0
            savedFrameCount = 0

            while True:
                ret, frame = cap.read()
                if not ret:
                    break

                if frameCount % FRAME_SKIP == 0:
                    cv2.imwrite(f"{video_dir}/{frameCount:06d}.jpg", frame)
                    savedFrameCount += 1
                    progress.update(task, advance=1)

                frameCount += 1

            cap.release()

            # Print the number of frames extracted
            print(
                f"Extracted {savedFrameCount} frames from {video} (Total: {frameCount})"
            )