454fddc35e
- Add CueModel.duration field (float = 4.0) for block length in seconds - Add AnalysisBlock.calibration_offset field (float = 0.03) for librosa bias - Replace main-area animation grid with timeline canvas layout (toolbar, canvas, inspector) - Move ANIMATIONS panel into sidebar below DEVICES panel - Add timeline-toolbar with zoom slider, beat offset input, snap toggle
49 lines
1.7 KiB
Python
49 lines
1.7 KiB
Python
from uuid import UUID, uuid4
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from datetime import datetime, timezone
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from typing import Any, Literal
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from pydantic import BaseModel, Field
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from lightsync.models.device import DeviceConfig
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class AudioRef(BaseModel):
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source_type: Literal["file", "youtube"] = "file"
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path: str | None = None
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yt_url: str | None = None
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duration_seconds: float | None = None
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class CueModel(BaseModel):
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id: UUID = Field(default_factory=uuid4)
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timestamp: float
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duration: float = 4.0 # block length in seconds; defaults for old files
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mode: Literal["animation", "frame_sequence"] = "animation"
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animation: str | None = None
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params: dict[str, Any] = Field(default_factory=dict)
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class TrackModel(BaseModel):
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device_id: UUID
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cues: list[CueModel] = Field(default_factory=list)
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class AnalysisBlock(BaseModel):
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analysed_at: datetime | None = None
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tempo_bpm: float | None = None
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beat_times: list[float] = Field(default_factory=list)
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onset_times: list[float] = Field(default_factory=list)
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calibration_offset: float = 0.03 # seconds; compensates librosa latency bias
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class ShowModel(BaseModel):
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schema_version: int = 1
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id: UUID = Field(default_factory=uuid4)
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name: str
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created_at: datetime = Field(default_factory=lambda: datetime.now(timezone.utc))
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updated_at: datetime = Field(default_factory=lambda: datetime.now(timezone.utc))
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audio: AudioRef = Field(default_factory=AudioRef)
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devices: list[DeviceConfig] = Field(default_factory=list)
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analysis: AnalysisBlock = Field(default_factory=AnalysisBlock)
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tracks: list[TrackModel] = Field(default_factory=list)
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ai_sequences: list[Any] = Field(default_factory=list)
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