import cv2
import numpy as np
from score_extractor import ScoreExtractor
from youtube_tab_to_pdf import extract_unique_scroll, _detect_tab_overlay

# Simplified run script to dump all macro blocks and ignored pages
frames = []
video = cv2.VideoCapture("sakanaction shintakarajima.mp4")
fps_orig = video.get(cv2.CAP_PROP_FPS)
stride = max(1, int(fps_orig / 4.0))
count = 0
while True:
    ret, frame = video.read()
    if not ret: break
    if count % stride == 0:
        frames.append(frame)
    count += 1
video.release()

from video_cv_tracker import TemporalTracker
from youtube_tab_to_pdf import _find_white_tab_strip
tracker = TemporalTracker(diff_threshold=0.05)
tab_bounds = None
for f in frames[::30]:
    b = _find_white_tab_strip(f)
    if b:
        tab_bounds = b
        break
top, bottom = tab_bounds if tab_bounds else (0, frames[0].shape[0])

for f in frames:
    tracker.process_frame(f[top:bottom, :])

unique = tracker.get_unique_pages()

ex = ScoreExtractor()
# Manually process them and print verbose output
ex.macro_blocks = [unique[0].copy()]
ex.history_pages = [unique[0]]

for i, page in enumerate(unique[1:], 1):
    current = ex.macro_blocks[-1]
    head_w = min(800, page.shape[1])
    search_w = min(1500, current.shape[1])
    
    h_gray = cv2.cvtColor(page[:, :head_w], cv2.COLOR_BGR2GRAY)
    s_gray = cv2.cvtColor(current[:, -search_w:], cv2.COLOR_BGR2GRAY)
    
    res = cv2.matchTemplate(s_gray, h_gray, cv2.TM_CCOEFF_NORMED)
    _, max_val, _, max_loc = cv2.minMaxLoc(res)
    
    if max_val > 0.50:
        print(f"[Page {i}] Stitched! max_val={max_val:.2f}")
        absolute_match_x = current.shape[1] - search_w + max_loc[0]
        next_start_idx = current.shape[1] - absolute_match_x
        if next_start_idx < page.shape[1]:
            append_part = page[:, next_start_idx:]
            ex.macro_blocks[-1] = np.hstack([ex.macro_blocks[-1], append_part])
            ex.history_pages.append(append_part)
    else:
        # Check repeat
        is_repeat = ex._is_historical_repeat(page)
        print(f"[Page {i}] Jump! max_val={max_val:.2f}, repeat={is_repeat}")
        if is_repeat:
            # We will save the rejected page to see if it was 22-29
            cv2.imwrite(f"rejected_page_{i}.png", page)
        else:
            ex.macro_blocks.append(page.copy())
            ex.history_pages.append(page)

# Dump the starts of the blocks
for j, b in enumerate(ex.macro_blocks):
    cv2.imwrite(f"macro_block_{j}_start.png", b[:, :1800])