Phase 1 foundation: Tauri shell, Python sidecar, SQLite database
Tauri v2 + Svelte + TypeScript frontend:
- App shell with workspace layout (waveform, transcript, speakers, AI chat)
- Placeholder components for all major UI areas
- Typed stores (project, transcript, playback, AI)
- TypeScript interfaces matching the database schema
- Tauri bridge service with typed invoke wrappers
- svelte-check passes with 0 errors
Rust backend:
- Tauri v2 app entry point with command registration
- SQLite database layer (rusqlite with bundled SQLite)
- Full schema: projects, media_files, speakers, segments, words,
ai_outputs, annotations (with indexes)
- Model structs with serde serialization
- CRUD queries for projects, speakers, segments, words
- Segment text editing preserves original text
- Schema versioning for future migrations
- 6 tests passing
- Command stubs for project, transcribe, export, AI, settings, system
- App state management
Python sidecar:
- JSON-line IPC protocol (stdin/stdout)
- Message types: IPCMessage, progress, error, ready
- Handler registry with routing and error handling
- Ping/pong handler for connectivity testing
- Service stubs: transcribe, diarize, pipeline, AI, export
- Provider stubs: local (llama-server), OpenAI, Anthropic, LiteLLM
- Hardware detection stubs
- 14 tests passing, ruff clean
Also adds:
- Testing strategy document (docs/TESTING.md)
- Validation script (scripts/validate.sh)
- Updated .gitignore for Svelte, Rust, Python artifacts
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-26 15:16:06 -08:00
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"""Message handler registry and routing."""
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from __future__ import annotations
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import sys
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from collections.abc import Callable
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from voice_to_notes.ipc.messages import IPCMessage, error_message
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# Handler function type: takes a message, returns a response message
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HandlerFunc = Callable[[IPCMessage], IPCMessage | None]
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class HandlerRegistry:
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"""Registry mapping message types to handler functions."""
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def __init__(self) -> None:
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self._handlers: dict[str, HandlerFunc] = {}
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def register(self, message_type: str, handler: HandlerFunc) -> None:
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"""Register a handler for a message type."""
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self._handlers[message_type] = handler
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def handle(self, msg: IPCMessage) -> IPCMessage | None:
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"""Route a message to its handler. Returns a response or error."""
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handler = self._handlers.get(msg.type)
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if handler is None:
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print(f"[sidecar] Unknown message type: {msg.type}", file=sys.stderr, flush=True)
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return error_message(msg.id, "unknown_type", f"Unknown message type: {msg.type}")
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try:
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return handler(msg)
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except Exception as e:
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print(f"[sidecar] Handler error for {msg.type}: {e}", file=sys.stderr, flush=True)
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return error_message(msg.id, "handler_error", str(e))
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def ping_handler(msg: IPCMessage) -> IPCMessage:
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"""Simple ping handler for testing connectivity."""
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return IPCMessage(id=msg.id, type="pong", payload={"echo": msg.payload})
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2026-02-26 15:53:09 -08:00
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def make_transcribe_handler() -> HandlerFunc:
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"""Create a transcription handler with a persistent TranscribeService."""
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from voice_to_notes.services.transcribe import TranscribeService, result_to_payload
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service = TranscribeService()
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def handler(msg: IPCMessage) -> IPCMessage:
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payload = msg.payload
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result = service.transcribe(
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request_id=msg.id,
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file_path=payload["file"],
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model_name=payload.get("model", "base"),
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device=payload.get("device", "cpu"),
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compute_type=payload.get("compute_type", "int8"),
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language=payload.get("language"),
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)
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return IPCMessage(
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id=msg.id,
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type="transcribe.result",
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payload=result_to_payload(result),
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)
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return handler
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def hardware_detect_handler(msg: IPCMessage) -> IPCMessage:
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"""Detect hardware capabilities and return recommendations."""
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from voice_to_notes.hardware.detect import detect_hardware
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info = detect_hardware()
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return IPCMessage(
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id=msg.id,
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type="hardware.info",
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payload={
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"has_cuda": info.has_cuda,
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"cuda_device_name": info.cuda_device_name,
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"vram_mb": info.vram_mb,
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"ram_mb": info.ram_mb,
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"cpu_cores": info.cpu_cores,
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"recommended_model": info.recommended_model,
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"recommended_device": info.recommended_device,
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"recommended_compute_type": info.recommended_compute_type,
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},
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)
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