from dataclasses import dataclass, field
from typing import List, Dict, Union, Optional
@dataclass
class FX:
name: str
encoded_param: str
bypassed: bool
@dataclass
class LevelAnalysis:
peak_db: float
rms_db: float
clipping_detected: bool
clipped_samples_count: int
@dataclass
class FrequencyAnalysis:
spectral_centroid_hz: float
low_freq_energy_db: float
mid_freq_energy_db: float
high_freq_energy_db: float
@dataclass
class StereoAnalysis:
is_stereo: bool
stereo_width: float
phase_coherence: float
mono_compatible: bool
@dataclass
class DynamicsAnalysis:
lufs_integrated: float
true_peak_db: float
crest_factor_db: float
@dataclass
class AudioAnalysisResult:
file_path: str
sample_rate: int
duration_seconds: float
channels: int
level: LevelAnalysis
frequency: FrequencyAnalysis
stereo: StereoAnalysis
dynamics: DynamicsAnalysis
warnings: List[str]
error: Optional[str] = None
@dataclass
class AudioItem:
position: float
length: float
audio_filepath: str
audio_analysis: Optional['AudioAnalysisResult'] = None
@dataclass
class Track:
name: str
volume: float
pan: float
mute: bool
solo: bool
type: str
input_source: str
audio_filepath: str
fx_chain: List[FX]
automation: Dict[str, List[Dict[str, Union[float, str]]]]
peak_level: float
send_levels: List[Dict[str, Union[str, float]]]
items: List[AudioItem] = field(default_factory=list)
@dataclass
class Project:
name: str
location: str
tempo: float
time_signature: str
total_length: float
tracks: List[Track]
