koko210Serve
32c2a7b930
- Created new logging infrastructure with per-component filtering - Added 6 log levels: DEBUG, INFO, API, WARNING, ERROR, CRITICAL - Implemented non-hierarchical level control (any combination can be enabled) - Migrated 917 print() statements across 31 files to structured logging - Created web UI (system.html) for runtime configuration with dark theme - Added global level controls to enable/disable levels across all components - Added timestamp format control (off/time/date/datetime options) - Implemented log rotation (10MB per file, 5 backups) - Added API endpoints for dynamic log configuration - Configured HTTP request logging with filtering via api.requests component - Intercepted APScheduler logs with proper formatting - Fixed persistence paths to use /app/memory for Docker volume compatibility - Fixed checkbox display bug in web UI (enabled_levels now properly shown) - Changed System Settings button to open in same tab instead of new window Components: bot, api, api.requests, autonomous, persona, vision, llm, conversation, mood, dm, scheduled, gpu, media, server, commands, sentiment, core, apscheduler All settings persist across container restarts via JSON config.
74 lines
2.1 KiB
Python
74 lines
2.1 KiB
Python
# utils/media.py
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import subprocess
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from utils.logger import get_logger
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logger = get_logger('media')
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async def overlay_username_with_ffmpeg(base_video_path, output_path, username):
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font_path = "/usr/share/fonts/truetype/dejavu/DejaVuSans-Bold.ttf"
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text = f"@{username}"
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# Define your six positions (x, y)
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positions = {
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1: ("250", "370"),
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2: ("330", "130"),
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3: ("300", "90"),
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4: ("380", "180"),
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5: ("365", "215"),
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6: ("55", "365"),
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7: ("290", "130"),
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8: ("320", "210"),
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9: ("310", "240"),
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10: ("400", "240")
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}
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# Each entry: (start_time, end_time, position_index)
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text_entries = [
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(4.767, 5.367, 1, "username"),
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(5.4, 5.967, 2, "username"),
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(6.233, 6.833, 3, "username"),
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(6.967, 7.6, 4, "username"),
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(7.733, 8.367, 5, "username"),
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(8.667, 9.133, 6, "username"),
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(9.733, 10.667, 7, "username"),
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(11.6, 12.033, 8, "@everyone"),
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(12.067, 13.0, 9, "@everyone"),
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(13.033, 14.135, 10, "@everyone"),
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]
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# Build drawtext filters
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drawtext_filters = []
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for start, end, pos_id, text_type in text_entries:
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x_coord, y_coord = positions[pos_id]
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# Determine actual text content
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text_content = f"@{username}" if text_type == "username" else text_type
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x = f"{x_coord} - text_w/2"
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y = f"{y_coord} - text_h/2"
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filter_str = (
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f"drawtext=text='{text_content}':"
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f"fontfile='{font_path}':"
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f"fontcolor=black:fontsize=30:x={x}:y={y}:"
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f"enable='between(t,{start},{end})'"
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)
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drawtext_filters.append(filter_str)
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vf_string = ",".join(drawtext_filters)
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ffmpeg_command = [
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"ffmpeg",
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"-i", base_video_path,
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"-vf", vf_string,
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"-codec:a", "copy",
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output_path
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]
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try:
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subprocess.run(ffmpeg_command, check=True)
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logger.info("Video processed successfully with username overlays.")
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except subprocess.CalledProcessError as e:
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logger.error(f"FFmpeg error: {e}")
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