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voice-to-notes/python/voice_to_notes/ipc/messages.py

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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
"""IPC message type definitions."""
from __future__ import annotations
from dataclasses import dataclass, field
from typing import Any
@dataclass
class IPCMessage:
"""A message exchanged between Rust and Python via JSON-line protocol."""
id: str
type: str
payload: dict[str, Any] = field(default_factory=dict)
def to_dict(self) -> dict[str, Any]:
return {"id": self.id, "type": self.type, "payload": self.payload}
@classmethod
def from_dict(cls, data: dict[str, Any]) -> IPCMessage:
return cls(
id=data.get("id", ""),
type=data.get("type", ""),
payload=data.get("payload", {}),
)
def progress_message(request_id: str, percent: int, stage: str, message: str) -> IPCMessage:
return IPCMessage(
id=request_id,
type="progress",
payload={"percent": percent, "stage": stage, "message": message},
)
def error_message(request_id: str, code: str, message: str) -> IPCMessage:
return IPCMessage(
id=request_id,
type="error",
payload={"code": code, "message": message},
)
def ready_message() -> IPCMessage:
return IPCMessage(id="system", type="ready", payload={"version": "0.1.0"})