38702-vm/core/video_engine.py
Flatlogic Bot cc9fdb2fe8 3
2026-02-23 09:23:18 +00:00

113 lines
4.5 KiB
Python

import os
import subprocess
import requests
import json
from pathlib import Path
WORKSPACE_ROOT = Path(__file__).resolve().parent.parent
OUTPUTS_DIR = WORKSPACE_ROOT / "outputs"
FINAL_VIDEO_DIR = OUTPUTS_DIR / "final_video"
TEMP_AUDIO_DIR = OUTPUTS_DIR / "temp_audio"
AUDIO_DIR = OUTPUTS_DIR / "audio"
BACKGROUNDS_DIR = WORKSPACE_ROOT / "backgrounds"
def escape_ffmpeg_text(text):
# Escape for ffmpeg drawtext filter
# Single quotes need special handling: ' becomes '\''
# Also colons and other special chars might need escaping depending on context
return text.replace("'", "'\\''").replace(":", "\\:")
def ensure_bg_video(bg_path):
"""Ensures a background video exists and is not empty. Creates a placeholder if needed."""
if not bg_path.exists() or bg_path.stat().st_size == 0:
bg_path.parent.mkdir(parents=True, exist_ok=True)
# Create a 5-second 720x1280 (vertical) placeholder video
color = "black"
if "nature" in bg_path.name:
color = "#064E3B" # Deep Emerald
elif "space" in bg_path.name:
color = "#1E1B4B" # Deep Indigo
subprocess.run([
'ffmpeg', '-y', '-f', 'lavfi', '-i', f'color=c={color}:s=720x1280:d=5',
'-pix_fmt', 'yuv420p', str(bg_path)
], check=True)
def generate_video(task_id):
from core.models import VideoTask
task = VideoTask.objects.get(id=task_id)
task.status = 'processing'
task.save()
try:
# Ensure directories exist
for d in [FINAL_VIDEO_DIR, TEMP_AUDIO_DIR, AUDIO_DIR, BACKGROUNDS_DIR]:
d.mkdir(parents=True, exist_ok=True)
# 1. Fetch Verses Text and Audio
verses_data = []
audio_files = []
api_url = f"https://api.alquran.cloud/v1/surah/{task.surah_number}/{task.reciter_identifier}"
resp = requests.get(api_url)
resp.raise_for_status()
data = resp.json()['data']
all_ayahs = data['ayahs']
selected_ayahs = [a for a in all_ayahs if task.verse_start <= a['numberInSurah'] <= task.verse_end]
# Download audio files
for i, ayah in enumerate(selected_ayahs):
audio_url = ayah['audio']
audio_path = TEMP_AUDIO_DIR / f"task_{task.id}_ayah_{i}.mp3"
with requests.get(audio_url, stream=True) as r:
r.raise_for_status()
with open(audio_path, 'wb') as f:
for chunk in r.iter_content(chunk_size=8192):
f.write(chunk)
audio_files.append(str(audio_path))
verses_data.append({
'text': ayah['text'],
'audio': str(audio_path)
})
# 2. Combine Audio
combined_audio = AUDIO_DIR / f"task_{task.id}_full.mp3"
# We use a filter_complex to concat audio as it's more reliable than concat protocol for different mp3s
filter_complex = "".join([f"[{i}:a]" for i in range(len(audio_files))]) + f"concat=n={len(audio_files)}:v=0:a=1[a]"
cmd = ['ffmpeg', '-y']
for f in audio_files:
cmd.extend(['-i', f])
cmd.extend(['-filter_complex', filter_complex, '-map', '[a]', str(combined_audio)])
subprocess.run(cmd, check=True)
# 3. Generate Video with FFmpeg
bg_video = BACKGROUNDS_DIR / (task.background_video or "nature.mp4")
ensure_bg_video(bg_video)
output_video = FINAL_VIDEO_DIR / f"reels_{task.id}.mp4"
# Escape text for drawtext
escaped_surah = escape_ffmpeg_text(task.surah_name)
# Simple FFmpeg command: loop background, add audio, trim to audio length
# Using a vertical aspect ratio 720x1280 (common for Reels)
subprocess.run([
'ffmpeg', '-y', '-stream_loop', '-1', '-i', str(bg_video),
'-i', str(combined_audio), '-shortest', '-map', '0:v:0', '-map', '1:a:0',
'-pix_fmt', 'yuv420p',
'-vf', f"scale=720:1280:force_original_aspect_ratio=increase,crop=720:1280,drawtext=text='{escaped_surah}':fontcolor={task.text_color}:fontsize=64:x=(w-text_w)/2:y=(h-text_h)/2:shadowcolor=black:shadowx=2:shadowy=2",
str(output_video)
], check=True)
task.status = 'completed'
task.output_path = f"/outputs/final_video/{output_video.name}"
task.save()
except Exception as e:
task.status = 'failed'
task.error_message = str(e)
task.save()
import traceback
print(traceback.format_exc())
raise e