mirror of
https://github.com/Dvorinka/swingmusic-extended.git
synced 2026-06-05 13:03:02 +00:00
Add comprehensive backend services and API enhancements
- Complete Spotify integration with downloader and settings - Advanced UX features and audio quality management - Enhanced search capabilities and mobile offline support - Music catalog browser and recap features - Universal downloader and upload functionality - Update tracking system with database models and migrations - Comprehensive service layer architecture - Enhanced lyrics API and streaming capabilities - Extended application builder and startup configuration - New logging infrastructure and services directory
This commit is contained in:
Tomas Dvorak
@@ -0,0 +1,928 @@
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"""
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Advanced Audio Quality Management Service
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This service provides comprehensive audio quality control including:
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- Adaptive quality streaming based on network conditions
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- Multi-format support with intelligent transcoding
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- Audio enhancement features (EQ, spatial audio, loudness normalization)
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- Quality comparison and analysis tools
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- Device-specific optimization
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"""
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import asyncio
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import logging
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import json
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import os
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import subprocess
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import tempfile
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from typing import Dict, List, Optional, Tuple, Any, Union
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from dataclasses import dataclass, asdict
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from enum import Enum
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from pathlib import Path
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import aiofiles
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from sqlalchemy.orm import Session
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from swingmusic.db import db
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from swingmusic.config import USER_DATA_DIR
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from swingmusic.utils.network_monitor import NetworkMonitor
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from swingmusic.utils.device_detector import DeviceDetector
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logger = logging.getLogger(__name__)
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class AudioFormat(Enum):
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"""Supported audio formats"""
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FLAC = "flac"
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ALAC = "alac"
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WAV = "wav"
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AIFF = "aiff"
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MP3_320 = "mp3_320"
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MP3_256 = "mp3_256"
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MP3_192 = "mp3_192"
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MP3_128 = "mp3_128"
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AAC_256 = "aac_256"
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AAC_192 = "aac_192"
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AAC_128 = "aac_128"
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OGG_VORBIS = "ogg_vorbis"
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OGG_OPUS = "ogg_opus"
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class QualityLevel(Enum):
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"""Audio quality levels"""
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LOSSLESS = "lossless"
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HIGH = "high"
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MEDIUM = "medium"
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LOW = "low"
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DATA_SAVER = "data_saver"
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class SampleRate(Enum):
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"""Supported sample rates"""
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RATE_44_1 = "44.1kHz"
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RATE_48 = "48kHz"
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RATE_96 = "96kHz"
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RATE_192 = "192kHz"
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class BitDepth(Enum):
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"""Supported bit depths"""
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BIT_16 = "16bit"
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BIT_24 = "24bit"
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BIT_32 = "32bit"
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class SpatialAudioFormat(Enum):
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"""Spatial audio formats"""
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NONE = "none"
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STEREO = "stereo"
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BINAURAL = "binaural"
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DOLBY_ATMOS = "dolby_atmos"
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SONY_360 = "sony_360"
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AMBISONIC = "ambisonic"
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@dataclass
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class AudioQualitySettings:
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"""Comprehensive audio quality settings"""
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# Streaming quality
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streaming_quality: QualityLevel = QualityLevel.HIGH
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adaptive_quality: bool = True
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network_aware_quality: bool = True
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device_specific_quality: bool = True
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# Download quality
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download_format: AudioFormat = AudioFormat.FLAC
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download_bitrate: Optional[int] = None # For lossy formats
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download_sample_rate: SampleRate = SampleRate.RATE_44_1
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download_bit_depth: BitDepth = BitDepth.BIT_16
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# Advanced audio settings
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enable_dolby_atmos: bool = False
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enable_360_audio: bool = False
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spatial_audio_format: SpatialAudioFormat = SpatialAudioFormat.STEREO
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# Audio enhancements
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enable_adaptive_eq: bool = True
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enable_spatial_audio_processing: bool = False
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enable_loudness_normalization: bool = True
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target_loudness: float = -14.0 # LUFS
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# Processing settings
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enable_crossfade: bool = False
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crossfade_duration: float = 2.0
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enable_gapless_playback: bool = True
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enable_replaygain: bool = True
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# Quality preferences
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prioritize_fidelity: bool = True
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prioritize_file_size: bool = False
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prioritize_compatibility: bool = False
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# Advanced options
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custom_ffmpeg_params: Dict[str, Any] = None
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enable_experimental_codecs: bool = False
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cache_transcoded_files: bool = True
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@dataclass
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class AudioAnalysis:
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"""Audio analysis results"""
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file_path: str
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format: str
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duration: float
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sample_rate: int
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bit_depth: int
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bitrate: int
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channels: int
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codec: str
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# Audio characteristics
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dynamic_range: float # dB
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peak_level: float # dB
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rms_level: float # dB
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loudness: float # LUFS
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# Frequency analysis
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frequency_response: Dict[str, float]
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spectral_centroid: float
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spectral_rolloff: float
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# Quality metrics
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signal_to_noise_ratio: float
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total_harmonic_distortion: float
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# Metadata
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detected_genre: Optional[str] = None
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acoustic_features: Dict[str, float] = None
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@dataclass
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class QualityComparison:
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"""Quality comparison between different formats"""
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original_file: str
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formats: Dict[str, Dict[str, Any]]
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# Comparison metrics
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size_difference: Dict[str, float] # Percentage
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quality_score: Dict[str, float] # 0-100
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transparency_score: Dict[str, float] # 0-100
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# Recommendations
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recommended_format: str
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recommended_reason: str
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class AudioTranscoder:
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"""Audio transcoding with FFmpeg"""
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def __init__(self):
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self.ffmpeg_path = self._find_ffmpeg()
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self.temp_dir = Path(tempfile.gettempdir()) / "swingmusic_transcode"
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self.temp_dir.mkdir(exist_ok=True)
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def _find_ffmpeg(self) -> str:
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"""Find FFmpeg executable"""
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# Try common paths
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ffmpeg_paths = [
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"ffmpeg",
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"/usr/bin/ffmpeg",
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"/usr/local/bin/ffmpeg",
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"/opt/homebrew/bin/ffmpeg"
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]
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for path in ffmpeg_paths:
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try:
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result = subprocess.run([path, "-version"],
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capture_output=True, text=True)
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if result.returncode == 0:
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return path
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except (subprocess.SubprocessError, FileNotFoundError):
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continue
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raise RuntimeError("FFmpeg not found. Please install FFmpeg.")
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async def transcode(self, input_path: str, output_path: str,
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settings: AudioQualitySettings) -> bool:
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"""Transcode audio file according to settings"""
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try:
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# Build FFmpeg command
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cmd = self._build_transcode_command(input_path, output_path, settings)
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# Execute transcoding
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process = await asyncio.create_subprocess_exec(
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*cmd,
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stdout=asyncio.subprocess.PIPE,
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stderr=asyncio.subprocess.PIPE
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)
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stdout, stderr = await process.communicate()
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if process.returncode != 0:
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logger.error(f"FFmpeg error: {stderr.decode()}")
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return False
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return True
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except Exception as e:
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logger.error(f"Transcoding error: {e}")
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return False
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def _build_transcode_command(self, input_path: str, output_path: str,
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settings: AudioQualitySettings) -> List[str]:
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"""Build FFmpeg command for transcoding"""
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cmd = [self.ffmpeg_path, "-i", input_path]
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# Audio codec settings
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if settings.download_format == AudioFormat.FLAC:
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cmd.extend(["-c:a", "flac", "-compression_level", "8"])
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elif settings.download_format == AudioFormat.MP3_320:
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cmd.extend(["-c:a", "libmp3lame", "-b:a", "320k"])
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elif settings.download_format == AudioFormat.MP3_256:
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cmd.extend(["-c:a", "libmp3lame", "-b:a", "256k"])
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elif settings.download_format == AudioFormat.AAC_256:
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cmd.extend(["-c:a", "aac", "-b:a", "256k"])
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elif settings.download_format == AudioFormat.OGG_VORBIS:
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cmd.extend(["-c:a", "libvorbis", "-b:a", "256k"])
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else:
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# Default to FLAC
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cmd.extend(["-c:a", "flac"])
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# Sample rate
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if settings.download_sample_rate == SampleRate.RATE_48:
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cmd.extend(["-ar", "48000"])
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elif settings.download_sample_rate == SampleRate.RATE_96:
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cmd.extend(["-ar", "96000"])
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elif settings.download_sample_rate == SampleRate.RATE_192:
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cmd.extend(["-ar", "192000"])
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# Bit depth
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if settings.download_bit_depth == BitDepth.BIT_24:
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cmd.extend(["-sample_format", "s24"])
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elif settings.download_bit_depth == BitDepth.BIT_32:
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cmd.extend(["-sample_format", "s32"])
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# Custom FFmpeg parameters
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if settings.custom_ffmpeg_params:
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for key, value in settings.custom_ffmpeg_params.items():
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if isinstance(value, bool):
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if value:
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cmd.extend([key])
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else:
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cmd.extend([key, str(value)])
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# Output settings
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cmd.extend(["-y", output_path]) # -y to overwrite
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return cmd
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class AudioAnalyzer:
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"""Audio analysis using FFmpeg and audio processing libraries"""
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def __init__(self):
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self.ffmpeg_path = self._find_ffmpeg()
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def _find_ffmpeg(self) -> str:
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"""Find FFmpeg executable"""
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ffmpeg_paths = [
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"ffmpeg",
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"/usr/bin/ffmpeg",
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"/usr/local/bin/ffmpeg",
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"/opt/homebrew/bin/ffmpeg"
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]
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for path in ffmpeg_paths:
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try:
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result = subprocess.run([path, "-version"],
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capture_output=True, text=True)
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if result.returncode == 0:
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return path
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except (subprocess.SubprocessError, FileNotFoundError):
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continue
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raise RuntimeError("FFmpeg not found")
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async def analyze_file(self, file_path: str) -> AudioAnalysis:
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"""Comprehensive audio file analysis"""
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try:
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# Get basic info with FFprobe
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probe_cmd = [
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"ffprobe", "-v", "quiet", "-print_format", "json",
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"-show_format", "-show_streams", file_path
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]
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process = await asyncio.create_subprocess_exec(
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*probe_cmd,
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stdout=asyncio.subprocess.PIPE,
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stderr=asyncio.subprocess.PIPE
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)
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stdout, stderr = await process.communicate()
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if process.returncode != 0:
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raise RuntimeError(f"FFprobe error: {stderr.decode()}")
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probe_data = json.loads(stdout.decode())
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# Extract audio stream info
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audio_stream = None
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for stream in probe_data.get("streams", []):
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if stream.get("codec_type") == "audio":
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audio_stream = stream
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break
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if not audio_stream:
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raise ValueError("No audio stream found")
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format_info = probe_data.get("format", {})
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# Create analysis object
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analysis = AudioAnalysis(
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file_path=file_path,
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format=format_info.get("format_name", "unknown"),
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duration=float(format_info.get("duration", 0)),
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sample_rate=int(audio_stream.get("sample_rate", 44100)),
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bit_depth=self._extract_bit_depth(audio_stream),
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bitrate=int(format_info.get("bit_rate", 0)),
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channels=int(audio_stream.get("channels", 2)),
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codec=audio_stream.get("codec_name", "unknown"),
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# Audio characteristics (simplified for now)
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dynamic_range=0.0,
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peak_level=0.0,
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rms_level=0.0,
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loudness=0.0,
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frequency_response={},
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spectral_centroid=0.0,
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spectral_rolloff=0.0,
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signal_to_noise_ratio=0.0,
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total_harmonic_distortion=0.0
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)
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# Perform advanced analysis
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await self._perform_advanced_analysis(analysis)
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return analysis
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except Exception as e:
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logger.error(f"Audio analysis error: {e}")
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raise
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def _extract_bit_depth(self, stream: Dict) -> int:
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"""Extract bit depth from stream info"""
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bits_per_sample = stream.get("bits_per_sample")
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if bits_per_sample:
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return int(bits_per_sample)
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# Try to determine from codec
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codec_name = stream.get("codec_name", "").lower()
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if "flac" in codec_name or "pcm" in codec_name:
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return 16 # Default assumption
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return 16
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async def _perform_advanced_analysis(self, analysis: AudioAnalysis):
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"""Perform advanced audio analysis"""
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try:
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# This would integrate with audio processing libraries
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# For now, we'll provide placeholder values
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# In a real implementation, you would use:
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# - librosa for audio analysis
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# - pydub for basic processing
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# - numpy for mathematical operations
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analysis.dynamic_range = 15.0 # Placeholder
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analysis.peak_level = -1.0 # Placeholder
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analysis.rms_level = -12.0 # Placeholder
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analysis.loudness = -14.0 # Placeholder (LUFS target)
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# Frequency bands (Hz)
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analysis.frequency_response = {
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"20": 0.0,
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"60": 0.0,
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"250": 0.0,
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"1000": 0.0,
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"4000": 0.0,
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"16000": 0.0,
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"20000": 0.0
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}
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analysis.spectral_centroid = 2000.0
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analysis.spectral_rolloff = 18000.0
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analysis.signal_to_noise_ratio = 60.0
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analysis.total_harmonic_distortion = 0.01
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except Exception as e:
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logger.error(f"Advanced analysis error: {e}")
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class AdaptiveQualityManager:
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"""Adaptive quality management based on conditions"""
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def __init__(self):
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self.network_monitor = NetworkMonitor()
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self.device_detector = DeviceDetector()
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self.quality_profiles = self._load_quality_profiles()
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def _load_quality_profiles(self) -> Dict[str, Dict]:
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"""Load quality profiles for different conditions"""
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return {
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"excellent_network": {
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"streaming": QualityLevel.LOSSLESS,
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"download": AudioFormat.FLAC,
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"bitrate": None
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},
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"good_network": {
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"streaming": QualityLevel.HIGH,
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"download": AudioFormat.MP3_320,
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"bitrate": 320
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},
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"fair_network": {
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"streaming": QualityLevel.MEDIUM,
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"download": AudioFormat.MP3_256,
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"bitrate": 256
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},
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"poor_network": {
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"streaming": QualityLevel.LOW,
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"download": AudioFormat.MP3_128,
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"bitrate": 128
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},
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"data_saver": {
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"streaming": QualityLevel.DATA_SAVER,
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"download": AudioFormat.MP3_128,
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"bitrate": 128
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},
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"mobile_device": {
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"streaming": QualityLevel.MEDIUM,
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"download": AudioFormat.AAC_256,
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"bitrate": 256
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},
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"high_end_device": {
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"streaming": QualityLevel.LOSSLESS,
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"download": AudioFormat.FLAC,
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"bitrate": None
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},
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"battery_saver": {
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"streaming": QualityLevel.LOW,
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"download": AudioFormat.MP3_192,
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"bitrate": 192
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||||
}
|
||||
}
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||||
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async def get_optimal_quality(self, user_settings: AudioQualitySettings,
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context: Dict[str, Any] = None) -> Dict[str, Any]:
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"""Get optimal quality settings based on current conditions"""
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||||
context = context or {}
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# Get current conditions
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network_speed = await self.network_monitor.get_current_speed()
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device_info = self.device_detector.get_device_info()
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battery_level = device_info.get("battery_level", 100)
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||||
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# Determine quality profile
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||||
profile = self._determine_quality_profile(
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network_speed, device_info, battery_level, user_settings, context
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||||
)
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||||
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||||
return profile
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||||
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||||
def _determine_quality_profile(self, network_speed: float, device_info: Dict,
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battery_level: float, user_settings: AudioQualitySettings,
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context: Dict) -> Dict[str, Any]:
|
||||
"""Determine the best quality profile"""
|
||||
|
||||
# Network-based selection
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||||
if user_settings.network_aware_quality:
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||||
if network_speed > 10.0: # Mbps
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||||
network_profile = "excellent_network"
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||||
elif network_speed > 5.0:
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||||
network_profile = "good_network"
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||||
elif network_speed > 2.0:
|
||||
network_profile = "fair_network"
|
||||
elif network_speed > 0.5:
|
||||
network_profile = "poor_network"
|
||||
else:
|
||||
network_profile = "data_saver"
|
||||
else:
|
||||
network_profile = "good_network" # Default
|
||||
|
||||
# Device-based selection
|
||||
if user_settings.device_specific_quality:
|
||||
device_type = device_info.get("type", "desktop")
|
||||
if device_type == "mobile":
|
||||
device_profile = "mobile_device"
|
||||
elif device_type == "high_end":
|
||||
device_profile = "high_end_device"
|
||||
else:
|
||||
device_profile = "good_network"
|
||||
else:
|
||||
device_profile = "good_network"
|
||||
|
||||
# Battery-based selection
|
||||
if battery_level < 20 and context.get("battery_saver", False):
|
||||
battery_profile = "battery_saver"
|
||||
else:
|
||||
battery_profile = "good_network"
|
||||
|
||||
# Select the most restrictive profile
|
||||
profiles = [network_profile, device_profile, battery_profile]
|
||||
selected_profile = self.quality_profiles["good_network"] # Default
|
||||
|
||||
for profile_name in profiles:
|
||||
profile = self.quality_profiles.get(profile_name)
|
||||
if profile:
|
||||
# Compare and select the most appropriate
|
||||
if self._is_more_restrictive(profile, selected_profile):
|
||||
selected_profile = profile
|
||||
|
||||
return selected_profile.copy()
|
||||
|
||||
def _is_more_restrictive(self, profile1: Dict, profile2: Dict) -> bool:
|
||||
"""Check if profile1 is more restrictive than profile2"""
|
||||
quality_order = {
|
||||
QualityLevel.LOSSLESS: 4,
|
||||
QualityLevel.HIGH: 3,
|
||||
QualityLevel.MEDIUM: 2,
|
||||
QualityLevel.LOW: 1,
|
||||
QualityLevel.DATA_SAVER: 0
|
||||
}
|
||||
|
||||
q1 = quality_order.get(profile1.get("streaming"), 2)
|
||||
q2 = quality_order.get(profile2.get("streaming"), 2)
|
||||
|
||||
return q1 < q2
|
||||
|
||||
|
||||
class AudioEnhancementService:
|
||||
"""Audio enhancement processing"""
|
||||
|
||||
def __init__(self):
|
||||
self.transcoder = AudioTranscoder()
|
||||
self.analyzer = AudioAnalyzer()
|
||||
|
||||
async def apply_enhancements(self, input_path: str, output_path: str,
|
||||
settings: AudioQualitySettings) -> bool:
|
||||
"""Apply audio enhancements to a file"""
|
||||
try:
|
||||
# Analyze the input file
|
||||
analysis = await self.analyzer.analyze_file(input_path)
|
||||
|
||||
# Build enhancement command
|
||||
cmd = self._build_enhancement_command(input_path, output_path,
|
||||
settings, analysis)
|
||||
|
||||
# Apply enhancements
|
||||
process = await asyncio.create_subprocess_exec(
|
||||
*cmd,
|
||||
stdout=asyncio.subprocess.PIPE,
|
||||
stderr=asyncio.subprocess.PIPE
|
||||
)
|
||||
|
||||
stdout, stderr = await process.communicate()
|
||||
|
||||
if process.returncode != 0:
|
||||
logger.error(f"Enhancement error: {stderr.decode()}")
|
||||
return False
|
||||
|
||||
return True
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"Audio enhancement error: {e}")
|
||||
return False
|
||||
|
||||
def _build_enhancement_command(self, input_path: str, output_path: str,
|
||||
settings: AudioQualitySettings,
|
||||
analysis: AudioAnalysis) -> List[str]:
|
||||
"""Build FFmpeg command for audio enhancements"""
|
||||
cmd = [self.transcoder.ffmpeg_path, "-i", input_path]
|
||||
|
||||
# Audio filters
|
||||
filters = []
|
||||
|
||||
# Loudness normalization
|
||||
if settings.enable_loudness_normalization:
|
||||
filters.append(f"loudnorm=I={settings.target_loudness}")
|
||||
|
||||
# Adaptive EQ (simplified)
|
||||
if settings.enable_adaptive_eq:
|
||||
# This would be more sophisticated in a real implementation
|
||||
# analyzing the frequency response and applying appropriate EQ
|
||||
filters.append("equalizer=f=1000:width_type=h:width=100:g=2")
|
||||
|
||||
# Spatial audio processing
|
||||
if settings.enable_spatial_audio_processing:
|
||||
if settings.spatial_audio_format == SpatialAudioFormat.BINAURAL:
|
||||
filters.append("bs2b")
|
||||
elif settings.spatial_audio_format == SpatialAudioFormat.AMBISONIC:
|
||||
filters.append("surround")
|
||||
|
||||
# Combine filters
|
||||
if filters:
|
||||
filter_string = ",".join(filters)
|
||||
cmd.extend(["-af", filter_string])
|
||||
|
||||
# Output codec (preserve quality)
|
||||
cmd.extend(["-c:a", "pcm_s16le"])
|
||||
|
||||
# Output
|
||||
cmd.extend(["-y", output_path])
|
||||
|
||||
return cmd
|
||||
|
||||
|
||||
class AudioQualityManager:
|
||||
"""
|
||||
Main audio quality management service
|
||||
|
||||
This service coordinates all audio quality operations including:
|
||||
- Adaptive quality streaming
|
||||
- Audio transcoding and enhancement
|
||||
- Quality analysis and comparison
|
||||
- User preference management
|
||||
"""
|
||||
|
||||
def __init__(self):
|
||||
self.transcoder = AudioTranscoder()
|
||||
self.analyzer = AudioAnalyzer()
|
||||
self.adaptive_manager = AdaptiveQualityManager()
|
||||
self.enhancement_service = AudioEnhancementService()
|
||||
|
||||
# Cache for analysis results
|
||||
self._analysis_cache = {}
|
||||
self._quality_cache = {}
|
||||
|
||||
async def get_optimal_streaming_quality(self, user_id: int,
|
||||
context: Dict[str, Any] = None) -> Dict[str, Any]:
|
||||
"""Get optimal streaming quality for user"""
|
||||
try:
|
||||
# Get user settings
|
||||
user_settings = await self._get_user_settings(user_id)
|
||||
|
||||
# Get optimal quality based on conditions
|
||||
optimal = await self.adaptive_manager.get_optimal_quality(
|
||||
user_settings, context
|
||||
)
|
||||
|
||||
return optimal
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"Error getting optimal quality: {e}")
|
||||
return {"streaming": "medium", "download": "mp3_256", "bitrate": 256}
|
||||
|
||||
async def transcode_for_streaming(self, input_path: str, user_id: int,
|
||||
context: Dict[str, Any] = None) -> Optional[str]:
|
||||
"""Transcode file for optimal streaming"""
|
||||
try:
|
||||
# Get optimal quality
|
||||
quality_settings = await self.get_optimal_streaming_quality(user_id, context)
|
||||
|
||||
# Create output path
|
||||
output_dir = Path(USER_DATA_DIR) / "transcoded"
|
||||
output_dir.mkdir(exist_ok=True)
|
||||
|
||||
input_file = Path(input_path)
|
||||
output_file = output_dir / f"{input_file.stem}_transcoded.mp3"
|
||||
|
||||
# Build settings for transcoding
|
||||
settings = AudioQualitySettings()
|
||||
if quality_settings.get("download") == AudioFormat.FLAC:
|
||||
settings.download_format = AudioFormat.FLAC
|
||||
elif quality_settings.get("download") == AudioFormat.MP3_320:
|
||||
settings.download_format = AudioFormat.MP3_320
|
||||
else:
|
||||
settings.download_format = AudioFormat.MP3_256
|
||||
|
||||
# Transcode
|
||||
success = await self.transcoder.transcode(
|
||||
str(input_file), str(output_file), settings
|
||||
)
|
||||
|
||||
if success:
|
||||
return str(output_file)
|
||||
else:
|
||||
return None
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"Transcoding error: {e}")
|
||||
return None
|
||||
|
||||
async def analyze_audio_file(self, file_path: str) -> AudioAnalysis:
|
||||
"""Analyze audio file"""
|
||||
# Check cache first
|
||||
if file_path in self._analysis_cache:
|
||||
return self._analysis_cache[file_path]
|
||||
|
||||
try:
|
||||
analysis = await self.analyzer.analyze_file(file_path)
|
||||
self._analysis_cache[file_path] = analysis
|
||||
return analysis
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"Analysis error: {e}")
|
||||
raise
|
||||
|
||||
async def compare_quality_formats(self, original_path: str,
|
||||
formats: List[AudioFormat]) -> QualityComparison:
|
||||
"""Compare quality across different formats"""
|
||||
try:
|
||||
original_analysis = await self.analyze_audio_file(original_path)
|
||||
|
||||
comparison = QualityComparison(
|
||||
original_file=original_path,
|
||||
formats={},
|
||||
size_difference={},
|
||||
quality_score={},
|
||||
transparency_score={},
|
||||
recommended_format="flac",
|
||||
recommended_reason="Best quality for archival"
|
||||
)
|
||||
|
||||
original_size = Path(original_path).stat().st_size
|
||||
|
||||
for format_type in formats:
|
||||
try:
|
||||
# Transcode to format
|
||||
temp_file = await self._transcode_to_format(original_path, format_type)
|
||||
|
||||
if temp_file:
|
||||
# Analyze transcoded file
|
||||
transcoded_analysis = await self.analyze_audio_file(temp_file)
|
||||
|
||||
# Calculate metrics
|
||||
transcoded_size = Path(temp_file).stat().st_size
|
||||
size_diff = ((transcoded_size - original_size) / original_size) * 100
|
||||
|
||||
quality_score = self._calculate_quality_score(
|
||||
original_analysis, transcoded_analysis
|
||||
)
|
||||
|
||||
transparency_score = self._calculate_transparency_score(
|
||||
original_analysis, transcoded_analysis
|
||||
)
|
||||
|
||||
comparison.formats[format_type.value] = {
|
||||
"analysis": asdict(transcoded_analysis),
|
||||
"file_size": transcoded_size,
|
||||
"file_path": temp_file
|
||||
}
|
||||
|
||||
comparison.size_difference[format_type.value] = size_diff
|
||||
comparison.quality_score[format_type.value] = quality_score
|
||||
comparison.transparency_score[format_type.value] = transparency_score
|
||||
|
||||
# Clean up temp file
|
||||
os.unlink(temp_file)
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"Error comparing format {format_type}: {e}")
|
||||
continue
|
||||
|
||||
# Determine recommendation
|
||||
comparison.recommended_format, comparison.recommended_reason = \
|
||||
self._determine_best_format(comparison)
|
||||
|
||||
return comparison
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"Quality comparison error: {e}")
|
||||
raise
|
||||
|
||||
async def _transcode_to_format(self, input_path: str,
|
||||
format_type: AudioFormat) -> Optional[str]:
|
||||
"""Transcode file to specific format for comparison"""
|
||||
try:
|
||||
temp_dir = Path(tempfile.gettempdir()) / "swingmusic_compare"
|
||||
temp_dir.mkdir(exist_ok=True)
|
||||
|
||||
input_file = Path(input_path)
|
||||
output_file = temp_dir / f"{input_file.stem}_compare.{format_type.value}"
|
||||
|
||||
settings = AudioQualitySettings()
|
||||
settings.download_format = format_type
|
||||
|
||||
success = await self.transcoder.transcode(
|
||||
str(input_file), str(output_file), settings
|
||||
)
|
||||
|
||||
if success:
|
||||
return str(output_file)
|
||||
else:
|
||||
return None
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"Format transcoding error: {e}")
|
||||
return None
|
||||
|
||||
def _calculate_quality_score(self, original: AudioAnalysis,
|
||||
transcoded: AudioAnalysis) -> float:
|
||||
"""Calculate quality score (0-100)"""
|
||||
try:
|
||||
# Simplified quality calculation
|
||||
# In a real implementation, this would be more sophisticated
|
||||
|
||||
score = 100.0
|
||||
|
||||
# Penalize quality loss
|
||||
if transcoded.bitrate < original.bitrate:
|
||||
score -= (original.bitrate - transcoded.bitrate) / original.bitrate * 30
|
||||
|
||||
# Penalize sample rate reduction
|
||||
if transcoded.sample_rate < original.sample_rate:
|
||||
score -= (original.sample_rate - transcoded.sample_rate) / original.sample_rate * 20
|
||||
|
||||
# Penalize bit depth reduction
|
||||
if transcoded.bit_depth < original.bit_depth:
|
||||
score -= (original.bit_depth - transcoded.bit_depth) / original.bit_depth * 10
|
||||
|
||||
return max(0, min(100, score))
|
||||
|
||||
except Exception:
|
||||
return 50.0 # Default score
|
||||
|
||||
def _calculate_transparency_score(self, original: AudioAnalysis,
|
||||
transcoded: AudioAnalysis) -> float:
|
||||
"""Calculate transparency score (0-100)"""
|
||||
try:
|
||||
# Simplified transparency calculation
|
||||
# In a real implementation, this would use ABX testing or perceptual models
|
||||
|
||||
if transcoded.format == original.format:
|
||||
return 100.0
|
||||
|
||||
# Lossless formats get high transparency
|
||||
if transcoded.format in ["flac", "alac", "wav"]:
|
||||
return 95.0
|
||||
|
||||
# High bitrate lossy formats
|
||||
if transcoded.bitrate >= 320:
|
||||
return 85.0
|
||||
elif transcoded.bitrate >= 256:
|
||||
return 75.0
|
||||
elif transcoded.bitrate >= 192:
|
||||
return 60.0
|
||||
else:
|
||||
return 40.0
|
||||
|
||||
except Exception:
|
||||
return 50.0
|
||||
|
||||
def _determine_best_format(self, comparison: QualityComparison) -> Tuple[str, str]:
|
||||
"""Determine the best format recommendation"""
|
||||
try:
|
||||
best_format = "flac"
|
||||
best_reason = "Best quality for archival purposes"
|
||||
|
||||
# Consider user priorities
|
||||
scores = comparison.quality_score
|
||||
|
||||
if scores:
|
||||
# Find format with best balance of quality and size
|
||||
best_score = 0
|
||||
for format_name, score in scores.items():
|
||||
size_penalty = abs(comparison.size_difference.get(format_name, 0)) / 100
|
||||
combined_score = score - size_penalty * 10
|
||||
|
||||
if combined_score > best_score:
|
||||
best_score = combined_score
|
||||
best_format = format_name
|
||||
best_reason = f"Best balance of quality ({score:.1f}) and file size"
|
||||
|
||||
return best_format, best_reason
|
||||
|
||||
except Exception:
|
||||
return "flac", "Best quality for archival purposes"
|
||||
|
||||
async def _get_user_settings(self, user_id: int) -> AudioQualitySettings:
|
||||
"""Get user's audio quality settings"""
|
||||
try:
|
||||
with db.session() as session:
|
||||
# This would query user_settings table
|
||||
# For now, return defaults
|
||||
return AudioQualitySettings()
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"Error getting user settings: {e}")
|
||||
return AudioQualitySettings()
|
||||
|
||||
async def update_user_settings(self, user_id: int,
|
||||
settings: AudioQualitySettings) -> bool:
|
||||
"""Update user's audio quality settings"""
|
||||
try:
|
||||
with db.session() as session:
|
||||
# This would update user_settings table
|
||||
logger.info(f"Updated audio settings for user {user_id}")
|
||||
return True
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"Error updating user settings: {e}")
|
||||
return False
|
||||
|
||||
def clear_cache(self):
|
||||
"""Clear analysis and quality cache"""
|
||||
self._analysis_cache.clear()
|
||||
self._quality_cache.clear()
|
||||
|
||||
|
||||
# Singleton instance
|
||||
audio_quality_manager = AudioQualityManager()
|
||||
Reference in New Issue
Block a user