mirror of
https://github.com/jamiepine/voicebox.git
synced 2026-09-15 12:50:42 -07:00
Jamie Pine
b434db22f6
The suite hadn't run green since the routes refactor: - test_profile_duplicate_names.py imported the pre-refactor module layout and broke collection; now imports backend.services.profiles - tests/conftest.py puts the repo root and backend dir on sys.path so files collect standalone instead of depending on run order - test_cors.py tested a hand-copied mirror of the origin list that had drifted from app.py (missing http://tauri.localhost); it now builds the app via the real create_app() factory - test_progress.py simulated a 1KB download, below the tracker's 1MB reporting threshold; simulation raised to 5MB - slow/timeout markers registered in pyproject Ruff: ~900 violations auto-fixed (typing modernization, import sorting, unused imports, whitespace). The remaining rules are baselined in pyproject.toml with per-rule counts to burn down, plus per-file carve-outs for deliberate env-before-import ordering. ruff check is now clean; suite is 134 passed, 2 skipped.
308 lines
13 KiB
Python
308 lines
13 KiB
Python
"""ORM model definitions for the voicebox SQLite database."""
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import uuid
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from datetime import datetime
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from sqlalchemy import JSON, Boolean, Column, DateTime, Float, ForeignKey, Integer, String, Text
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from sqlalchemy.ext.declarative import declarative_base
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from ..utils.capture_chords import (
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default_push_to_talk_chord,
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default_toggle_to_talk_chord,
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)
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Base = declarative_base()
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class VoiceProfile(Base):
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"""Voice profile.
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voice_type discriminates three flavours:
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- "cloned" — traditional reference-audio profiles (all cloning engines)
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- "preset" — engine-specific pre-built voice (e.g. Kokoro voices)
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- "designed" — text-described voice (e.g. Qwen CustomVoice, future)
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"""
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__tablename__ = "profiles"
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id = Column(String, primary_key=True, default=lambda: str(uuid.uuid4()))
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name = Column(String, unique=True, nullable=False)
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description = Column(Text)
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language = Column(String, default="en")
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avatar_path = Column(String, nullable=True)
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effects_chain = Column(Text, nullable=True)
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# Voice type system — added v0.3.x
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voice_type = Column(String, default="cloned") # "cloned" | "preset" | "designed"
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preset_engine = Column(String, nullable=True) # e.g. "kokoro" — only for preset
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preset_voice_id = Column(String, nullable=True) # e.g. "am_adam" — only for preset
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design_prompt = Column(Text, nullable=True) # text description — only for designed
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default_engine = Column(String, nullable=True) # auto-selected engine, locked for preset
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# Free-form character prompt used by the compose button and the
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# personality-rewrite path on /generate. Describes *what* this voice
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# says and how, orthogonal to how it sounds (handled by the preset /
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# cloning metadata above).
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personality = Column(Text, nullable=True)
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created_at = Column(DateTime, default=datetime.utcnow)
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updated_at = Column(DateTime, default=datetime.utcnow, onupdate=datetime.utcnow)
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class ProfileSample(Base):
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"""Audio sample attached to a voice profile."""
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__tablename__ = "profile_samples"
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id = Column(String, primary_key=True, default=lambda: str(uuid.uuid4()))
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profile_id = Column(String, ForeignKey("profiles.id"), nullable=False)
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audio_path = Column(String, nullable=False)
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reference_text = Column(Text, nullable=False)
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class Generation(Base):
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"""A single TTS generation."""
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__tablename__ = "generations"
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id = Column(String, primary_key=True, default=lambda: str(uuid.uuid4()))
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profile_id = Column(String, ForeignKey("profiles.id"), nullable=False)
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text = Column(Text, nullable=False)
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language = Column(String, default="en")
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audio_path = Column(String, nullable=True)
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duration = Column(Float, nullable=True)
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seed = Column(Integer)
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instruct = Column(Text)
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engine = Column(String, default="qwen")
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model_size = Column(String, nullable=True)
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status = Column(String, default="completed")
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error = Column(Text, nullable=True)
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is_favorited = Column(Boolean, default=False)
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# Origin of this generation — "manual" for plain /generate calls,
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# "personality_speak" for rows whose text was rewritten through the
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# profile's personality LLM before TTS. Future sources (bulk import,
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# agent replies, etc.) can extend this.
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source = Column(String, nullable=False, default="manual")
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created_at = Column(DateTime, default=datetime.utcnow)
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class Story(Base):
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"""A story that sequences multiple generations."""
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__tablename__ = "stories"
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id = Column(String, primary_key=True, default=lambda: str(uuid.uuid4()))
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name = Column(String, nullable=False)
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description = Column(Text)
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created_at = Column(DateTime, default=datetime.utcnow)
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updated_at = Column(DateTime, default=datetime.utcnow, onupdate=datetime.utcnow)
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class StoryItem(Base):
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"""Links a generation to a story at a specific timecode."""
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__tablename__ = "story_items"
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id = Column(String, primary_key=True, default=lambda: str(uuid.uuid4()))
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story_id = Column(String, ForeignKey("stories.id"), nullable=False)
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generation_id = Column(String, ForeignKey("generations.id"), nullable=False)
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version_id = Column(String, ForeignKey("generation_versions.id"), nullable=True)
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start_time_ms = Column(Integer, nullable=False, default=0)
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track = Column(Integer, nullable=False, default=0)
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trim_start_ms = Column(Integer, nullable=False, default=0)
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trim_end_ms = Column(Integer, nullable=False, default=0)
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volume = Column(Float, nullable=False, default=1.0)
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created_at = Column(DateTime, default=datetime.utcnow)
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class Project(Base):
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"""Audio studio project (JSON blob)."""
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__tablename__ = "projects"
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id = Column(String, primary_key=True, default=lambda: str(uuid.uuid4()))
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name = Column(String, nullable=False)
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data = Column(Text)
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created_at = Column(DateTime, default=datetime.utcnow)
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updated_at = Column(DateTime, default=datetime.utcnow, onupdate=datetime.utcnow)
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class GenerationVersion(Base):
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"""A version of a generation's audio (original, processed, alternate takes)."""
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__tablename__ = "generation_versions"
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id = Column(String, primary_key=True, default=lambda: str(uuid.uuid4()))
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generation_id = Column(String, ForeignKey("generations.id"), nullable=False)
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label = Column(String, nullable=False)
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audio_path = Column(String, nullable=False)
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effects_chain = Column(Text, nullable=True)
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source_version_id = Column(String, ForeignKey("generation_versions.id"), nullable=True)
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is_default = Column(Boolean, default=False)
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created_at = Column(DateTime, default=datetime.utcnow)
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class EffectPreset(Base):
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"""Saved effect chain preset."""
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__tablename__ = "effect_presets"
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id = Column(String, primary_key=True, default=lambda: str(uuid.uuid4()))
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name = Column(String, unique=True, nullable=False)
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description = Column(Text, nullable=True)
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effects_chain = Column(Text, nullable=False)
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is_builtin = Column(Boolean, default=False)
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sort_order = Column(Integer, default=100)
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created_at = Column(DateTime, default=datetime.utcnow)
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class AudioChannel(Base):
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"""Audio output channel (bus)."""
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__tablename__ = "audio_channels"
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id = Column(String, primary_key=True, default=lambda: str(uuid.uuid4()))
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name = Column(String, nullable=False)
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is_default = Column(Boolean, default=False)
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created_at = Column(DateTime, default=datetime.utcnow)
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class ChannelDeviceMapping(Base):
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"""Mapping between a channel and an OS audio device."""
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__tablename__ = "channel_device_mappings"
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id = Column(String, primary_key=True, default=lambda: str(uuid.uuid4()))
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channel_id = Column(String, ForeignKey("audio_channels.id"), nullable=False)
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device_id = Column(String, nullable=False)
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class ProfileChannelMapping(Base):
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"""Many-to-many mapping between voice profiles and audio channels."""
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__tablename__ = "profile_channel_mappings"
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profile_id = Column(String, ForeignKey("profiles.id"), primary_key=True)
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channel_id = Column(String, ForeignKey("audio_channels.id"), primary_key=True)
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class CaptureSettings(Base):
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"""Singleton row holding user defaults for the capture/refine flow.
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Kept server-side so every window, CLI client, and API consumer reads the
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same preferences. The ``id`` column is always 1.
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"""
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__tablename__ = "capture_settings"
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id = Column(Integer, primary_key=True, default=1)
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stt_model = Column(String, nullable=False, default="turbo")
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language = Column(String, nullable=False, default="auto")
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auto_refine = Column(Boolean, nullable=False, default=True)
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llm_model = Column(String, nullable=False, default="0.6B")
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smart_cleanup = Column(Boolean, nullable=False, default=True)
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self_correction = Column(Boolean, nullable=False, default=True)
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preserve_technical = Column(Boolean, nullable=False, default=True)
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allow_auto_paste = Column(Boolean, nullable=False, default=True)
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default_playback_voice_id = Column(String, nullable=True)
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# Default OFF — opting in is what triggers the macOS Input Monitoring TCC
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# prompt. We deliberately don't spawn the global keyboard tap until the
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# user flips this on so a fresh-install user doesn't see a scary
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# "Voicebox would like to receive keystrokes from any application" dialog
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# before they've even opened the Captures tab.
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hotkey_enabled = Column(Boolean, nullable=False, default=False)
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# Hold the microphone open while dictation is enabled so push-to-talk
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# doesn't clip the first words. Off by default — when on, the OS mic-in-use
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# indicator stays lit the whole time dictation is enabled.
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keep_mic_warm = Column(Boolean, nullable=False, default=False)
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# Lists of keytap key names (e.g. "MetaRight", "ControlRight"). Right-hand
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# modifiers by default so they don't collide with left-hand shortcuts.
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chord_push_to_talk_keys = Column(
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JSON, nullable=False, default=default_push_to_talk_chord
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)
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chord_toggle_to_talk_keys = Column(
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JSON, nullable=False, default=default_toggle_to_talk_chord
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)
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updated_at = Column(DateTime, default=datetime.utcnow, onupdate=datetime.utcnow)
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class GenerationSettings(Base):
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"""Singleton row for long-form TTS generation preferences."""
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__tablename__ = "generation_settings"
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id = Column(Integer, primary_key=True, default=1)
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max_chunk_chars = Column(Integer, nullable=False, default=800)
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crossfade_ms = Column(Integer, nullable=False, default=50)
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normalize_audio = Column(Boolean, nullable=False, default=True)
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autoplay_on_generate = Column(Boolean, nullable=False, default=True)
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updated_at = Column(DateTime, default=datetime.utcnow, onupdate=datetime.utcnow)
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class CloudSettings(Base):
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"""Singleton row holding the link to a Voicebox Cloud account.
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Populated by the "Log in with browser" pairing flow (see services/cloud.py):
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the browser hands back a one-time code, which the backend exchanges for an
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``api_key`` it stores here. The key is a bearer credential for
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api.voicebox.sh — auth only, never an encryption key (E2E key material lives
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elsewhere). Stored in the local app database alongside the user's other data;
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moving it to the OS keychain is a future hardening step. The ``id`` is
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always 1; a null ``api_key`` means "not connected".
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"""
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__tablename__ = "cloud_settings"
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id = Column(Integer, primary_key=True, default=1)
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api_key = Column(String, nullable=True)
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device_name = Column(String, nullable=True)
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account_user_id = Column(String, nullable=True)
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connected_at = Column(DateTime, nullable=True)
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updated_at = Column(DateTime, default=datetime.utcnow, onupdate=datetime.utcnow)
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class MCPClientBinding(Base):
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"""Per-MCP-client settings (voice profile, engine, personality default).
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Lets users bind distinct voices to distinct agents — e.g. Claude Code
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speaks in "Morgan," Cursor in "Scarlett." The MCP client identifies
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itself via the ``X-Voicebox-Client-Id`` HTTP header; direct-HTTP
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clients set it in their MCP config's ``headers`` block, the stdio
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shim forwards it from the ``VOICEBOX_CLIENT_ID`` env var.
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"""
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__tablename__ = "mcp_client_bindings"
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client_id = Column(String, primary_key=True)
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label = Column(String, nullable=True) # display name
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profile_id = Column(String, ForeignKey("profiles.id"), nullable=True)
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default_engine = Column(String, nullable=True)
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# When true, voicebox.speak routes through the profile's personality LLM
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# (rewrite) before TTS by default. Callers can still override per call.
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default_personality = Column(Boolean, nullable=False, default=False)
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last_seen_at = Column(DateTime, nullable=True)
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created_at = Column(DateTime, default=datetime.utcnow)
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updated_at = Column(DateTime, default=datetime.utcnow, onupdate=datetime.utcnow)
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class Capture(Base):
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"""A single voice input capture (dictation, recording, or uploaded file).
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Stores the original audio alongside the raw transcript and, optionally, a
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refined version produced by the LLM. Refinement flags are serialized as
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JSON so we can reproduce the prompt that generated the refined text.
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"""
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__tablename__ = "captures"
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id = Column(String, primary_key=True, default=lambda: str(uuid.uuid4()))
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audio_path = Column(String, nullable=False)
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source = Column(String, nullable=False, default="file") # dictation | recording | file
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language = Column(String, nullable=True)
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duration_ms = Column(Integer, nullable=True)
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transcript_raw = Column(Text, nullable=False, default="")
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transcript_refined = Column(Text, nullable=True)
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stt_model = Column(String, nullable=True)
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llm_model = Column(String, nullable=True)
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refinement_flags = Column(Text, nullable=True) # JSON blob
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created_at = Column(DateTime, default=datetime.utcnow)
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