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add8e69 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 | #!/usr/bin/env python3
"""
Quranic Recitation Surah Concatenator
=====================================
Converts verse-level Opus and JSON files into single Surah-level files
for all 22 reciters.
Output format: {reciter_slug}/{surah_id}/{surah_id}.opus
"""
import os
import glob
import json
import struct
import subprocess
from pathlib import Path
from concurrent.futures import ProcessPoolExecutor, as_completed
import time
def get_ogg_opus_duration(filepath):
"""Fast extraction of Ogg Opus duration in milliseconds."""
try:
with open(filepath, 'rb') as f:
f.seek(0, 2)
file_size = f.tell()
chunk_size = min(65536, file_size)
f.seek(file_size - chunk_size)
data = f.read(chunk_size)
last_oggs_idx = data.rfind(b'OggS')
if last_oggs_idx == -1:
return 0
granule_bytes = data[last_oggs_idx+6 : last_oggs_idx+14]
granule_position = struct.unpack('<q', granule_bytes)[0]
# Granule position in Opus is ALWAYS at 48000 Hz
return int((granule_position / 48000.0) * 1000)
except Exception:
return 0
def process_surah(args):
reciter_dir, surah_str = args
surah_path = Path(reciter_dir) / surah_str
# Match verse files: e.g. 001001.opus (length > 3 before extension)
all_opus = sorted(list(surah_path.glob(f"{surah_str}*.opus")))
verse_opus_files = [f for f in all_opus if len(f.stem) > 3]
if not verse_opus_files:
return True
target_opus = surah_path / f"{surah_str}.opus"
target_json = surah_path / f"{surah_str}.json"
concat_txt_path = surah_path / f"concat_{surah_str}.txt"
# 1. Compute JSON and write concat file
combined_json = []
cumulative_offset = 0
verse_json_files = []
with open(concat_txt_path, 'w') as f_out:
for opus_f in verse_opus_files:
f_out.write(f"file '{opus_f.name}'\n")
json_f = opus_f.with_suffix('.json')
if json_f.exists():
verse_json_files.append(json_f)
with open(json_f, 'r') as jf:
data = json.load(jf)
# Shift timings
if isinstance(data, list):
for seg in data:
new_seg = [
seg[0],
seg[1],
int(seg[2]) + cumulative_offset,
int(seg[3]) + cumulative_offset
]
combined_json.append(new_seg)
duration = get_ogg_opus_duration(opus_f)
cumulative_offset += duration
# Write combined JSON
with open(target_json, 'w') as jf:
# Format like a compact 2D array
if combined_json:
inner_strs = [json.dumps(seg) for seg in combined_json]
json_str = '[\n ' + ',\n '.join(inner_strs) + '\n]'
jf.write(json_str)
else:
jf.write('[]')
# 2. Concat Opus Losslessly using ffmpeg
success = False
try:
subprocess.run([
"ffmpeg", "-y", "-hide_banner", "-loglevel", "error",
"-f", "concat", "-safe", "0",
"-i", str(concat_txt_path),
"-c", "copy",
str(target_opus)
], check=True)
success = True
except subprocess.CalledProcessError:
return False
finally:
if concat_txt_path.exists():
concat_txt_path.unlink()
# 3. Clean up verse-level files if successful
if success and target_opus.exists():
for opus_f in verse_opus_files:
try: opus_f.unlink()
except: pass
for json_f in verse_json_files:
try: json_f.unlink()
except: pass
return success
def main():
print("ββββββββββββββββββββββββββββββββββββββββββββββββββββββββ")
print("β Surah Concatenator β")
print("β Verse Opus/JSON -> Surah Opus/JSON β")
print("ββββββββββββββββββββββββββββββββββββββββββββββββββββββββ")
base_dir = Path(".")
reciters = []
# Identify valid reciter directories
for entry in base_dir.iterdir():
if entry.is_dir() and not entry.name.startswith('.') and entry.name not in ('audio', 'wbw_tester', '__pycache__'):
# Only include if it has surah directories like '001'
if (entry / '001').exists():
reciters.append(entry.name)
reciters = sorted(reciters)
print(f"β Found {len(reciters)} reciters to process.")
tasks = []
for r in reciters:
for s in range(1, 115):
tasks.append((r, f"{s:03d}"))
print(f"Total tasks (surahs): {len(tasks)}")
print(f"Starting parallel processing...")
completed = 0
errors = 0
start = time.time()
with ProcessPoolExecutor(max_workers=min(os.cpu_count() or 4, 16)) as executor:
futures = [executor.submit(process_surah, t) for t in tasks]
for f in as_completed(futures):
if not f.result():
errors += 1
completed += 1
if completed % 114 == 0 or completed == len(tasks):
print(f" Processed {completed}/{len(tasks)} surahs... ({errors} errors)")
elapsed = time.time() - start
print(f"\nβ Done! Converted {len(reciters)} reciters in {elapsed:.1f}s.")
if __name__ == '__main__':
main()
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