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