python/pyproject.toml

[build-system]
requires = ["setuptools>=68.0"]
build-backend = "setuptools.build_meta"

[project]
name = "voice-to-notes"
version = "0.1.0"
description = "Python sidecar for Voice to Notes — transcription, diarization, and AI services"
requires-python = ">=3.11"
license = "MIT"

dependencies = [
    "faster-whisper>=1.1.0",
]

[project.optional-dependencies]
dev = [
    "ruff>=0.8.0",
    "pytest>=8.0.0",
    "pytest-asyncio>=0.24.0",
]

[tool.ruff]
target-version = "py311"
line-length = 100

[tool.ruff.lint]
select = ["E", "W", "F", "I", "B", "UP", "RUF"]

[tool.ruff.format]
quote-style = "double"

[tool.pytest.ini_options]
testpaths = ["tests"]
asyncio_mode = "auto"
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			`[build-system]`
			`requires = ["setuptools>=68.0"]`
			`build-backend = "setuptools.build_meta"`

			`[project]`
			`name = "voice-to-notes"`
			`version = "0.1.0"`
			`description = "Python sidecar for Voice to Notes — transcription, diarization, and AI services"`
			`requires-python = ">=3.11"`
			`license = "MIT"`

Phase 2: Core transcription pipeline and audio playback - Implement faster-whisper TranscribeService with word-level timestamps, progress reporting, and hardware auto-detection - Wire up Rust SidecarManager for Python process lifecycle (spawn, IPC, shutdown) - Add transcribe_file Tauri command bridging frontend to Python sidecar - Integrate wavesurfer.js WaveformPlayer with play/pause, skip, seek controls - Build TranscriptEditor with word-level click-to-seek and active highlighting - Connect file import flow: prompt → asset load → transcribe → display - Add typed tauri-bridge service with TranscriptionResult interface - Add Python tests for hardware detection and transcription result formatting Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> 2026-02-26 15:53:09 -08:00			`dependencies = [`
			`"faster-whisper>=1.1.0",`
			`]`
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
			`[project.optional-dependencies]`
			`dev = [`
			`"ruff>=0.8.0",`
			`"pytest>=8.0.0",`
			`"pytest-asyncio>=0.24.0",`
			`]`

			`[tool.ruff]`
			`target-version = "py311"`
			`line-length = 100`

			`[tool.ruff.lint]`
			`select = ["E", "W", "F", "I", "B", "UP", "RUF"]`

			`[tool.ruff.format]`
			`quote-style = "double"`

			`[tool.pytest.ini_options]`
			`testpaths = ["tests"]`
			`asyncio_mode = "auto"`