add style guide, ruff config, generation service extraction, remove Makefile

- Add backend/STYLE_GUIDE.md covering formatting, imports, types, docstrings,
  comments, error handling, async, logging, and naming conventions
- Add pyproject.toml with ruff linter/formatter config (ERA, FIX, isort, pyupgrade)
- Extract generation service (Phase 3): unified run_generation() replaces three
  duplicated closures, serial queue moved to services/task_queue.py
- Delete Makefile in favor of justfile; update all references
- Add Python lint/format/test commands to justfile (check-python, fix-python, test)
- Install ruff, pytest, pytest-asyncio as dev tools in setup-python
- Update REFACTOR_PLAN.md with Phase 3 and Phase 7 completion
This commit is contained in:
James Pine
2026-03-16 01:35:59 -07:00
parent 439fedcbf2
commit fe19a9ca47
13 changed files with 972 additions and 812 deletions
+8 -6
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@@ -66,14 +66,16 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
- OpenAPI client generator script now documents the local backend port and avoids an unused loop variable warning
### Added
- **Makefile** - Comprehensive development workflow automation with commands for setup, development, building, testing, and code quality checks
- Includes Python version detection and compatibility warnings
- Self-documenting help system with `make help`
- Colored output for better readability
- Supports parallel development server execution
- **justfile** - Comprehensive development workflow automation with commands for setup, development, building, testing, and code quality checks
- Cross-platform support (macOS, Linux, Windows)
- Python version detection and compatibility warnings
- Self-documenting help system with `just --list`
### Changed
- **README** - Added Makefile reference and updated Quick Start with Makefile-based setup instructions alongside manual setup
- **README** - Updated Quick Start with justfile-based setup instructions
### Removed
- **Makefile** - Replaced by justfile (cross-platform, simpler syntax)
---
-250
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@@ -1,250 +0,0 @@
# Voicebox Makefile
# Unix-only (macOS/Linux). Windows users should use WSL.
SHELL := /bin/bash
.DEFAULT_GOAL := help
# Directories
BACKEND_DIR := backend
TAURI_DIR := tauri
WEB_DIR := web
APP_DIR := app
# Python (prefer 3.12, fallback to 3.13, then python3)
PYTHON := $(shell command -v python3.12 2>/dev/null || command -v python3.13 2>/dev/null || echo python3)
VENV := $(CURDIR)/$(BACKEND_DIR)/venv
VENV_BIN := $(VENV)/bin
PIP := $(VENV_BIN)/pip
PYTHON_VENV := $(VENV_BIN)/python
# Colors for output
BLUE := \033[0;34m
GREEN := \033[0;32m
YELLOW := \033[0;33m
NC := \033[0m # No Color
.PHONY: help
help: ## Show this help message
@echo -e "$(BLUE)Voicebox$(NC) - Development Commands"
@echo ""
@grep -E '^[a-zA-Z_-]+:.*?## .*$$' $(MAKEFILE_LIST) | sort | \
awk 'BEGIN {FS = ":.*?## "}; {printf " $(GREEN)%-20s$(NC) %s\n", $$1, $$2}'
# =============================================================================
# SETUP
# =============================================================================
.PHONY: setup setup-js setup-python setup-rust
setup: setup-js setup-python ## Full project setup (all dependencies)
@echo -e "$(GREEN)✓ Setup complete!$(NC)"
@echo -e " Run $(YELLOW)make dev$(NC) to start development servers"
setup-js: ## Install JavaScript dependencies (bun)
@echo -e "$(BLUE)Installing JavaScript dependencies...$(NC)"
bun install
setup-python: $(VENV)/bin/activate ## Set up Python virtual environment and dependencies
@echo -e "$(BLUE)Installing Python dependencies...$(NC)"
$(PIP) install --upgrade pip
$(PIP) install -r $(BACKEND_DIR)/requirements.txt
$(PIP) install --no-deps chatterbox-tts
@if [ "$$(uname -m)" = "arm64" ] && [ "$$(uname)" = "Darwin" ]; then \
echo -e "$(BLUE)Detected Apple Silicon - installing MLX dependencies...$(NC)"; \
$(PIP) install -r $(BACKEND_DIR)/requirements-mlx.txt; \
echo -e "$(GREEN)✓ MLX backend enabled (native Metal acceleration)$(NC)"; \
fi
$(PIP) install git+https://github.com/QwenLM/Qwen3-TTS.git
@echo -e "$(GREEN)✓ Python environment ready$(NC)"
$(VENV)/bin/activate:
@echo -e "$(BLUE)Creating Python virtual environment...$(NC)"
@PY_MINOR=$$($(PYTHON) -c "import sys; print(sys.version_info[1])"); \
if [ "$$PY_MINOR" -gt 13 ]; then \
echo -e "$(YELLOW)Warning: Python 3.$$PY_MINOR detected. ML packages may not be compatible.$(NC)"; \
echo -e "$(YELLOW)Recommended: Use Python 3.12 or 3.13 (brew install [email protected])$(NC)"; \
fi
$(PYTHON) -m venv $(VENV)
setup-rust: ## Install Rust toolchain (if not present)
@command -v rustc >/dev/null 2>&1 || curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh
# =============================================================================
# DEVELOPMENT
# =============================================================================
.PHONY: dev dev-backend dev-frontend dev-web kill-dev
dev: ## Start backend + desktop app (parallel)
@echo -e "$(BLUE)Starting development servers...$(NC)"
@echo -e "$(YELLOW)Note: If Tauri fails, run 'make build-server' first or use separate terminals$(NC)"
@trap 'kill 0' EXIT; \
$(MAKE) dev-backend & \
sleep 2 && if [ "$$(uname)" = "Linux" ] && lspci 2>/dev/null | grep -qi nvidia; then \
WEBKIT_DISABLE_DMABUF_RENDERER=1 $(MAKE) dev-frontend; \
else \
$(MAKE) dev-frontend; \
fi & \
wait
dev-backend: ## Start FastAPI backend server
@echo -e "$(BLUE)Starting backend server on http://localhost:17493$(NC)"
$(VENV_BIN)/uvicorn backend.main:app --reload --port 17493
dev-frontend: ## Start Tauri desktop app
@echo -e "$(BLUE)Starting Tauri desktop app...$(NC)"
bun run dev
dev-web: ## Start backend + web app (parallel)
@echo -e "$(BLUE)Starting web development servers...$(NC)"
@trap 'kill 0' EXIT; \
$(MAKE) dev-backend & \
sleep 2 && cd $(WEB_DIR) && bun run dev & \
wait
kill-dev: ## Kill all development processes
@echo -e "$(YELLOW)Killing development processes...$(NC)"
-pkill -f "uvicorn main:app" 2>/dev/null || true
-pkill -f "vite" 2>/dev/null || true
@echo -e "$(GREEN)✓ Processes killed$(NC)"
# =============================================================================
# BUILD
# =============================================================================
.PHONY: build build-server build-tauri build-web
build: build-server build-tauri ## Build everything (server binary + desktop app)
@echo -e "$(GREEN)✓ Build complete!$(NC)"
build-server: ## Build Python server binary
@echo -e "$(BLUE)Building server binary...$(NC)"
PATH="$(VENV_BIN):$$PATH" ./scripts/build-server.sh
build-tauri: ## Build Tauri desktop app
@echo -e "$(BLUE)Building Tauri desktop app...$(NC)"
cd $(TAURI_DIR) && bun run tauri build
build-web: ## Build web app
@echo -e "$(BLUE)Building web app...$(NC)"
cd $(WEB_DIR) && bun run build
@echo -e "$(GREEN)✓ Web build output in $(WEB_DIR)/dist/$(NC)"
# =============================================================================
# DATABASE & API
# =============================================================================
.PHONY: db-init db-reset generate-api
db-init: $(VENV)/bin/activate ## Initialize SQLite database
@echo -e "$(BLUE)Initializing database...$(NC)"
cd $(BACKEND_DIR) && $(PYTHON_VENV) -c "from database import init_db; init_db()"
@echo -e "$(GREEN)✓ Database created at $(BACKEND_DIR)/data/voicebox.db$(NC)"
db-reset: ## Reset database (delete and reinitialize)
@echo -e "$(YELLOW)Resetting database...$(NC)"
rm -f $(BACKEND_DIR)/data/voicebox.db
$(MAKE) db-init
generate-api: ## Generate TypeScript API client from OpenAPI schema
@echo -e "$(BLUE)Generating API client...$(NC)"
@echo -e "$(YELLOW)Note: Backend must be running (make dev-backend)$(NC)"
./scripts/generate-api.sh
@echo -e "$(GREEN)✓ API client generated in $(APP_DIR)/src/lib/api/$(NC)"
# =============================================================================
# CODE QUALITY
# =============================================================================
.PHONY: lint format typecheck check
lint: ## Run linter (Biome)
@echo -e "$(BLUE)Linting...$(NC)"
bun run lint
format: ## Format code (Biome)
@echo -e "$(BLUE)Formatting...$(NC)"
bun run format
typecheck: ## Run TypeScript type checking
@echo -e "$(BLUE)Type checking...$(NC)"
bun run tsc --noEmit
check: ## Run all checks (Biome lint + format + type check)
@echo -e "$(BLUE)Running all checks...$(NC)"
bun run check
@echo -e "$(GREEN)✓ All checks passed$(NC)"
# =============================================================================
# TESTING
# =============================================================================
.PHONY: test test-backend test-frontend
test: test-backend test-frontend ## Run all tests
@echo -e "$(GREEN)✓ All tests passed$(NC)"
test-backend: ## Run Python backend tests (requires pytest)
@echo -e "$(BLUE)Running backend tests...$(NC)"
@if [ -f "$(VENV_BIN)/pytest" ]; then \
cd $(BACKEND_DIR) && $(VENV_BIN)/pytest -v; \
else \
echo -e "$(YELLOW)pytest not installed. Run: $(PIP) install pytest$(NC)"; \
exit 1; \
fi
test-frontend: ## Run frontend tests (requires test script in package.json)
@echo -e "$(BLUE)Running frontend tests...$(NC)"
@if bun run test --help >/dev/null 2>&1; then \
bun run test; \
else \
echo -e "$(YELLOW)No test script configured$(NC)"; \
exit 1; \
fi
# =============================================================================
# LOGS & DEBUGGING
# =============================================================================
.PHONY: logs docs
logs: ## Tail backend logs
@echo -e "$(BLUE)Tailing logs (Ctrl+C to stop)...$(NC)"
tail -f $(BACKEND_DIR)/logs/*.log 2>/dev/null || echo "No log files found"
docs: ## Open API documentation (backend must be running)
@echo -e "$(BLUE)Opening API docs...$(NC)"
open http://localhost:17493/docs 2>/dev/null || xdg-open http://localhost:17493/docs
# =============================================================================
# CLEAN
# =============================================================================
.PHONY: clean clean-python clean-build clean-all
clean: ## Clean build artifacts
@echo -e "$(BLUE)Cleaning build artifacts...$(NC)"
rm -rf $(TAURI_DIR)/src-tauri/target/release
rm -rf $(WEB_DIR)/dist
rm -rf $(APP_DIR)/dist
@echo -e "$(GREEN)✓ Build artifacts cleaned$(NC)"
clean-python: ## Clean Python cache and virtual environment
@echo -e "$(BLUE)Cleaning Python files...$(NC)"
rm -rf $(VENV)
find $(BACKEND_DIR) -type d -name "__pycache__" -exec rm -rf {} + 2>/dev/null || true
find $(BACKEND_DIR) -type f -name "*.pyc" -delete 2>/dev/null || true
@echo -e "$(GREEN)✓ Python environment cleaned$(NC)"
clean-build: ## Clean Rust/Tauri build cache
@echo -e "$(BLUE)Cleaning Rust build cache...$(NC)"
cd $(TAURI_DIR)/src-tauri && cargo clean
@echo -e "$(GREEN)✓ Rust cache cleaned$(NC)"
clean-all: clean clean-python clean-build ## Nuclear clean (everything)
@echo -e "$(BLUE)Cleaning node_modules...$(NC)"
rm -rf node_modules
rm -rf $(APP_DIR)/node_modules
rm -rf $(TAURI_DIR)/node_modules
rm -rf $(WEB_DIR)/node_modules
@echo -e "$(GREEN)✓ Full clean complete$(NC)"
+4 -4
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@@ -31,7 +31,7 @@ Two-part fix:
## Testing
To test this fix:
1. Build Voicebox from source: `make build`
1. Build Voicebox from source: `just build`
2. Disconnect from internet
3. Try generating speech
4. Should work without network requests
@@ -40,13 +40,13 @@ To test this fix:
```bash
# Install dependencies
pip install -r requirements.txt
just setup
# Build the app
make build
just build
# Or build just the server
make build-server
just build-server
```
## Notes
+29 -29
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@@ -25,39 +25,16 @@ Net result: -1,078 lines across the backend.
---
## Phase 3: Generation Service
## Phase 3: Generation Service
The three generation closures in `main.py` (`_run_generation:782`, `_run_retry:923`, `_run_regenerate:1018`) share ~80% of their logic. Extract into a service module.
Extracted the three near-identical generation closures (`_run_generation`, `_run_retry`, `_run_regenerate`) and the background queue machinery from `main.py` into a new `services/` layer:
### Create `services/generation.py`
- `services/task_queue.py``create_background_task()`, `enqueue_generation()`, `init_queue()`, and the serial `_generation_worker`. Replaces the module-level globals and helpers that were in `main.py:63-92`.
- `services/generation.py` — single `run_generation()` function with a `mode` parameter (`"generate"`, `"retry"`, `"regenerate"`). Mode-specific persistence is handled by three small sync helpers (`_save_generate`, `_save_retry`, `_save_regenerate`). The shared pipeline (model loading, voice prompt creation, chunked inference, normalization, error handling, task manager lifecycle) is written once.
Single orchestration function with mode parameter:
Route handlers in `main.py` are now thin: validate input, create/update DB row, resolve effects chain, then `enqueue_generation(run_generation(...))`.
```python
async def run_generation(
generation_id: str,
profile_id: str,
text: str,
language: str,
engine: str,
model_size: str,
seed: Optional[int],
normalize: bool,
effects_chain: Optional[list],
instruct_text: Optional[str],
mode: Literal["generate", "retry", "regenerate"],
version_label: Optional[str] = None,
):
```
Differences between modes are small and can be handled with conditionals:
- `retry`: reuses same seed, skips effects/versions
- `regenerate`: seed=None, creates a new version with auto-label
- `generate`: full pipeline including effects version
### Move background queue management
Move `_generation_queue`, `_generation_worker`, `_enqueue_generation`, `_background_tasks`, and `_create_background_task` (currently `main.py:63-92`) into the service module or a dedicated `services/task_queue.py`.
Net result: ~240 lines of duplicated closure code replaced by a single 230-line service module + 50-line queue module.
---
@@ -167,6 +144,29 @@ Option A is simpler and non-disruptive. Option B is cleaner long-term but touche
---
## Phase 7: Style Guide & Tooling ✓
Added a Python style guide (`backend/STYLE_GUIDE.md`) and automated linting/formatting with ruff. Removed the redundant Makefile — the justfile is now the single task runner.
### Style guide
Codifies conventions for the refactor: Google-style docstrings, native 3.12 type syntax (`list[str]`, `X | None` — no `from __future__` or `typing.List`), `logging` module instead of `print()`, two-layer error handling (domain exceptions + route-layer HTTPException), import grouping (stdlib / third-party / local with isort enforcement), 120-char line length.
### Ruff config (`pyproject.toml`)
Added project-root `pyproject.toml` with ruff linter + formatter config. Rule sets: `F`, `E`, `W`, `I` (isort), `N` (naming), `UP` (pyupgrade to 3.12), `B` (bugbear), `SIM`, `RET`, `T20` (print detection), `PT` (pytest style), `RUF`. `T201` (print) is ignored during migration — remove once logging conversion is done.
Initial scan: 1,103 lint violations (879 auto-fixable), 38 files needing reformatting. Mostly whitespace (W293), type annotation modernization (UP045/UP006), and import sorting (I001). To be fixed file-by-file as files are touched, not in a big-bang pass.
### Justfile updates
- `just check` now runs both JS (Biome) and Python (ruff) checks
- Added `just check-python`, `just lint-python`, `just format-python`, `just fix-python`, `just test`
- `just setup-python` installs `ruff`, `pytest`, `pytest-asyncio` as dev tools
- Deleted `Makefile` and updated all references in `CHANGELOG.md`, `PATCH_NOTES.md`, `docs/plans/ADDING_TTS_ENGINES.md`
---
## Notes
- Each phase is independently shippable and testable
+460
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@@ -0,0 +1,460 @@
# Python Style Guide
Target: **Python 3.12+** | Formatter/Linter: **Ruff** | Config: `pyproject.toml` (project root)
This guide codifies the conventions used across the backend, and prescribes the target style for code written during the refactor (Phases 3-6). Existing code should be migrated incrementally -- don't reformat entire files in unrelated PRs.
---
## Formatting
Enforced by `ruff format` (Black-compatible).
- **Line length**: 120 characters.
- **Indent**: 4 spaces. No tabs.
- **Trailing commas**: Required on multi-line function signatures, arguments, collections.
- **Quotes**: Double quotes (`"`) for strings. Single quotes are acceptable in f-string expressions and dict keys inside f-strings where avoiding escapes improves readability.
Run: `ruff format backend/`
---
## Imports
Enforced by ruff's `isort` rules (rule set `I`).
**Grouping** -- three blocks separated by a blank line:
```python
import asyncio # 1. stdlib
from pathlib import Path
import numpy as np # 2. third-party
from fastapi import APIRouter, HTTPException
from sqlalchemy.orm import Session
from backend.config import get_data_dir # 3. local (absolute)
from .database import get_db # or relative
```
**Rules:**
- Within the `backend` package, use **relative imports** for sibling/child modules: `from .database import get_db`, `from ..utils.audio import load_audio`.
- Absolute imports are fine for top-level references from entry points (`main.py`, `server.py`).
- Never use wildcard imports (`from module import *`).
- One import per line for `from X import Y` when there are 4+ names; below that, comma-separated is fine.
- **Lazy imports** are acceptable for heavy dependencies (torch, transformers, mlx) inside functions to reduce startup time. Add a comment: `# lazy: heavy import`.
---
## Type Annotations
Python 3.12 means we use **built-in generics and union syntax natively**. No `from __future__ import annotations`, no `typing.List`/`typing.Dict`.
```python
# Yes
def process(items: list[str], config: dict[str, int] | None = None) -> tuple[int, str]: ...
# No
from typing import List, Dict, Optional, Tuple
def process(items: List[str], config: Optional[Dict[str, int]] = None) -> Tuple[int, str]: ...
```
**What to annotate:**
- All public function signatures (parameters + return type).
- Private functions: parameters at minimum; return type encouraged.
- Module-level variables: only when the type isn't obvious from the assignment.
- Route handlers: parameters are annotated via FastAPI's dependency injection. Add explicit `-> SomeResponse` return types when the route doesn't use `response_model`.
**Imports from `typing` that are still needed** (no built-in equivalent):
`Literal`, `TypeAlias`, `Protocol`, `runtime_checkable`, `Callable`, `Any`, `ClassVar`, `TypeVar`, `overload`, `TYPE_CHECKING`.
Use `collections.abc` for abstract types: `Sequence`, `Mapping`, `Iterable`, `Iterator`, `Generator`.
---
## Naming
| Thing | Convention | Example |
|-------|-----------|---------|
| Module | `snake_case` | `task_queue.py` |
| Class | `PascalCase` | `ProgressManager` |
| Function / method | `snake_case` | `create_profile` |
| Variable | `snake_case` | `sample_rate` |
| Constant | `UPPER_SNAKE_CASE` | `DEFAULT_SAMPLE_RATE` |
| Private | `_leading_underscore` | `_generation_queue` |
| Type alias | `PascalCase` | `EffectChain = list[dict[str, Any]]` |
**Specific conventions:**
- Database ORM models imported with `DB` prefix alias: `from .database import VoiceProfile as DBVoiceProfile`.
- Pydantic models use descriptive suffixes: `VoiceProfileCreate`, `VoiceProfileResponse`, `GenerationRequest`.
- Backend classes use engine-name prefix: `MLXTTSBackend`, `PyTorchSTTBackend`.
---
## Docstrings
**Google style**. Required on all public functions, classes, and modules.
```python
def combine_voice_prompts(
profile_dir: Path,
*,
target_sr: int = 24000,
) -> tuple[np.ndarray, int]:
"""Load and concatenate all voice prompt files for a profile.
Reads .wav/.mp3/.flac files from the profile directory, resamples to
the target sample rate, normalizes, and concatenates into a single array.
Args:
profile_dir: Path to the voice profile directory containing audio files.
target_sr: Target sample rate for the output. Defaults to 24000.
Returns:
Tuple of (concatenated audio array, sample rate).
Raises:
FileNotFoundError: If profile_dir does not exist.
ValueError: If no valid audio files are found.
"""
```
**Short form** is fine for simple functions:
```python
def get_db_path() -> Path:
"""Get the path to the SQLite database file."""
```
**When to skip**: Private helpers under ~5 lines where the name and signature make intent obvious.
**Module docstrings**: A single sentence at the top of every file describing its purpose.
```python
"""Voice profile CRUD operations."""
```
---
## Comments
Comments explain **why**, not **what**. If the code needs a comment to explain what it does, the code should be rewritten to be clearer. The exceptions are non-obvious performance choices, external constraints, and concurrency/race-condition reasoning -- those always deserve a comment.
### No section dividers
Do not use ASCII dividers to create visual sections in files:
```python
# No -- any of these:
# ============================================
# GENERATION ENDPOINTS
# ============================================
# ---------------------------------------------------------------------------
# Device detection
# ---------------------------------------------------------------------------
# --- Load model --------------------------------------------------
```
If a file needs section dividers to be navigable, the file is too long. Split it into modules. Within a function, if you need labeled sections to follow the logic, extract those sections into named functions.
### Inline comments
Inline comments (end-of-line) are fine when they add information the code can't express:
```python
# Yes -- explains a non-obvious constraint or gives context:
audio, sr = load_audio(path, sr=24000) # Qwen expects 24kHz mono
_generation_queue: asyncio.Queue = None # type: ignore # initialized at startup
"tauri://localhost", # Tauri webview (macOS)
# No -- restates the code:
# Check if profile name already exists
existing = db.query(DBVoiceProfile).filter_by(name=data.name).first()
# Delete from database
db.delete(sample)
# Update fields
profile.name = data.name
```
Delete comments that narrate what the next line of code obviously does. If the function name, variable name, or method call already communicates intent, the comment is noise.
### Block comments
Use block comments for **why** explanations -- constraints, workarounds, non-obvious decisions:
```python
# PyInstaller + multiprocessing: child processes re-execute the frozen binary
# with internal arguments. freeze_support() handles this and exits early.
multiprocessing.freeze_support()
# Mark any stale "generating" records as failed -- these are leftovers
# from a previous process that was killed mid-generation.
db.query(Generation).filter_by(status="generating").update({"status": "failed"})
```
Keep block comments tight. Two to three lines is normal. If you need a paragraph, it probably belongs in the docstring or a design doc.
### Linter/type-checker suppression
Always add a reason after `noqa` and `type: ignore`:
```python
import intel_extension_for_pytorch # noqa: F401 -- side-effect import enables XPU
_queue: asyncio.Queue = None # type: ignore[assignment] # initialized at startup
```
Bare `# noqa` or `# type: ignore` with no explanation are not allowed.
### TODO / FIXME
Use sparingly. Every `TODO` must include a brief description of what needs doing. Don't use them as a substitute for tracking work properly:
```python
# TODO: replace with async SQLAlchemy once CRUD modules are migrated (Phase 5)
result = await asyncio.to_thread(profiles.get_profile, profile_id, db)
```
Never commit `HACK`, `XXX`, or `FIXME` -- fix the problem or file an issue.
### Commented-out code
Delete it. That's what git is for. If you need to document that something was intentionally removed, a short tombstone comment is acceptable:
```python
# Removed config.json-only check -- too lenient, doesn't confirm weights exist.
```
---
## Error Handling
The refactor is standardizing on a **two-layer pattern**:
### 1. Domain layer -- raise plain exceptions
CRUD modules and services raise `ValueError`, `FileNotFoundError`, or (post-refactor) custom exceptions defined in `backend/errors.py`:
```python
# backend/errors.py (to be created in Phase 4)
class NotFoundError(Exception):
"""Raised when a requested resource does not exist."""
class ConflictError(Exception):
"""Raised on uniqueness constraint violations."""
```
```python
# In a service or CRUD module:
raise NotFoundError(f"Profile {profile_id} not found")
```
### 2. Route layer -- translate to HTTPException
Route handlers catch domain exceptions and convert:
```python
@router.post("/profiles")
async def create_profile(data: VoiceProfileCreate, db: Session = Depends(get_db)):
try:
return await profiles.create_profile(data, db)
except ConflictError as e:
raise HTTPException(status_code=409, detail=str(e))
```
**Background tasks** catch `Exception` broadly, log with `logger.exception()`, and update the task status to `"failed"`.
**Never**: silently swallow exceptions, use bare `except:`, or catch `BaseException`.
---
## Async
### Rules for the refactor
1. **Don't declare `async def` unless the function awaits something.** The current CRUD modules break this -- they will be fixed per REFACTOR_PLAN Phase 5.
2. **CPU-bound work** (audio processing, numpy operations) goes through `asyncio.to_thread()`:
```python
audio, sr = await asyncio.to_thread(load_audio, source_path)
```
3. **GPU-bound TTS inference** is serialized through the generation queue (`services/task_queue.py`). Never call a backend's `generate()` directly from a route handler.
4. **Fire-and-forget tasks**: use `asyncio.create_task()` and track the task reference to prevent garbage collection:
```python
task = asyncio.create_task(some_coro())
_background_tasks.add(task)
task.add_done_callback(_background_tasks.discard)
```
---
## Logging
Use the `logging` module. Not `print()`.
```python
import logging
logger = logging.getLogger(__name__)
logger.info("Loading model %s on %s", model_name, device)
logger.warning("Cache miss for %s, downloading", repo_id)
logger.exception("Generation %s failed") # logs traceback automatically
```
**Rules:**
- Use `%s`-style placeholders in log calls (not f-strings). This avoids formatting the string if the log level is filtered out.
- Use `logger.exception()` inside `except` blocks -- it captures the traceback.
- Logger name should be `__name__` (yields `backend.utils.audio`, etc.).
- Existing `print()` calls should be migrated to logging as files are touched during the refactor.
---
## Constants
- Define at **module level** in the file where they're primarily used.
- Use `UPPER_SNAKE_CASE`.
- Shared/cross-cutting constants (sample rates, file size limits, CORS origins) go in `backend/config.py` after Phase 6 consolidation.
- Magic numbers in function bodies should be extracted to named constants:
```python
# No
if len(audio) > 24000 * 60 * 10:
# Yes
MAX_AUDIO_DURATION_SAMPLES = SAMPLE_RATE * 60 * 10
if len(audio) > MAX_AUDIO_DURATION_SAMPLES:
```
---
## Function Signatures
- **Keyword-only arguments** (after `*`) for functions with 3+ parameters, especially when several share the same type:
```python
def is_model_cached(
hf_repo: str,
*,
weight_extensions: tuple[str, ...] = (".safetensors", ".bin"),
required_files: list[str] | None = None,
) -> bool:
```
- Parameters on **separate lines** when the signature exceeds ~100 characters or has 3+ params.
- **Trailing comma** after the last parameter in multi-line signatures.
- Default values inline with the parameter.
---
## String Formatting
- **f-strings** for runtime string construction.
- **`%s`-style** for `logging` calls (lazy evaluation).
- **`.format()`**: avoid; f-strings are preferred.
---
## Testing
Framework: **pytest** with `pytest-asyncio`.
- Test files: `test_<module>.py` in `backend/tests/`.
- Use `conftest.py` for shared fixtures (db sessions, test client, mock backends).
- Group related tests in classes: `class TestProfileCRUD:`.
- Use `@pytest.mark.asyncio` for async tests.
- Use `@pytest.mark.parametrize` to reduce repetition.
- Manual integration scripts stay in `tests/` but are clearly marked (filename prefix `manual_` or documented in `tests/README.md`).
---
## Project Layout (Post-Refactor Target)
From REFACTOR_PLAN.md Phase 4:
```
backend/
app.py # FastAPI app, middleware, startup/shutdown
main.py # Entry point (imports app, runs uvicorn)
config.py # Data dirs, shared constants
errors.py # Custom exception classes
routes/
__init__.py
health.py
profiles.py
channels.py
generations.py
history.py
stories.py
effects.py
audio.py
models.py
tasks.py
cuda.py
services/
generation.py
task_queue.py
model_status.py
database/
__init__.py
models.py
session.py
seed.py
backends/
__init__.py
base.py
pytorch_backend.py
mlx_backend.py
luxtts_backend.py
chatterbox_backend.py
chatterbox_turbo_backend.py
utils/
audio.py
effects.py
progress.py
tasks.py
hf_progress.py
hf_offline_patch.py
cache.py
images.py
chunked_tts.py
tests/
conftest.py
test_cors.py
test_profiles.py
...
```
---
## Ruff Adoption
The `pyproject.toml` at the project root configures ruff for linting and formatting. Run:
```bash
# Lint (check)
ruff check backend/
# Lint (auto-fix)
ruff check backend/ --fix
# Format
ruff format backend/
```
During the refactor, introduce ruff fixes file-by-file as you touch them. Don't run `--fix` across the entire codebase in one shot -- that creates unreviewable diffs.
---
## Summary of Changes from Current State
| Area | Before | After |
|------|--------|-------|
| Line length | Uncontrolled (up to 160) | 120, enforced by ruff |
| Import order | Ad-hoc | isort-grouped, enforced |
| Type syntax | Mixed `List`/`list`, sporadic `__future__` | Native `list[]`, `X \| None`, no `__future__` |
| Logging | ~80% `print()` | `logging` module everywhere |
| Error handling | 3 inconsistent patterns | Domain exceptions + route-layer HTTPException |
| Async CRUD | Fake `async def` | Sync functions (Phase 5) or real async |
| Linting | None | Ruff with auto-fix |
| Formatting | None | Ruff format (Black-compatible) |
| Tests | Mix of pytest + manual scripts | pytest throughout, shared conftest |
-221
View File
@@ -1,221 +0,0 @@
"""
Example usage of the voicebox backend API.
This script demonstrates how to:
1. Create a voice profile
2. Add samples to the profile
3. Generate speech
4. List history
"""
import requests
import time
from pathlib import Path
# API base URL
BASE_URL = "http://localhost:8000"
def check_health():
"""Check if the server is running."""
response = requests.get(f"{BASE_URL}/health")
data = response.json()
print(f"Server status: {data['status']}")
print(f"Model loaded: {data['model_loaded']}")
print(f"GPU available: {data['gpu_available']}")
print()
return data
def create_profile(name: str, description: str = None, language: str = "en"):
"""Create a new voice profile."""
response = requests.post(
f"{BASE_URL}/profiles",
json={
"name": name,
"description": description,
"language": language,
},
)
response.raise_for_status()
profile = response.json()
print(f"Created profile: {profile['name']} (ID: {profile['id']})")
return profile
def add_sample(profile_id: str, audio_file: str, reference_text: str):
"""Add a sample to a voice profile."""
with open(audio_file, "rb") as f:
files = {"file": f}
data = {"reference_text": reference_text}
response = requests.post(
f"{BASE_URL}/profiles/{profile_id}/samples",
files=files,
data=data,
)
response.raise_for_status()
sample = response.json()
print(f"Added sample: {sample['id']}")
return sample
def generate_speech(profile_id: str, text: str, language: str = "en", seed: int = None):
"""Generate speech using a voice profile."""
print(f"Generating speech: '{text[:50]}...'")
start_time = time.time()
response = requests.post(
f"{BASE_URL}/generate",
json={
"profile_id": profile_id,
"text": text,
"language": language,
"seed": seed,
},
)
response.raise_for_status()
generation = response.json()
elapsed = time.time() - start_time
print(f"Generated in {elapsed:.2f}s (duration: {generation['duration']:.2f}s)")
print(f"Generation ID: {generation['id']}")
return generation
def download_audio(generation_id: str, output_file: str):
"""Download generated audio."""
response = requests.get(f"{BASE_URL}/audio/{generation_id}")
response.raise_for_status()
with open(output_file, "wb") as f:
f.write(response.content)
print(f"Saved audio to: {output_file}")
def list_profiles():
"""List all voice profiles."""
response = requests.get(f"{BASE_URL}/profiles")
response.raise_for_status()
profiles = response.json()
print(f"Found {len(profiles)} profiles:")
for profile in profiles:
print(f" - {profile['name']} (ID: {profile['id']})")
return profiles
def list_history(profile_id: str = None, limit: int = 10):
"""List generation history."""
params = {"limit": limit}
if profile_id:
params["profile_id"] = profile_id
response = requests.get(f"{BASE_URL}/history", params=params)
response.raise_for_status()
history = response.json()
print(f"Found {len(history)} generations:")
for gen in history:
print(f" - {gen['text'][:50]}... ({gen['duration']:.2f}s)")
return history
def transcribe_audio(audio_file: str, language: str = None):
"""Transcribe audio file."""
print(f"Transcribing: {audio_file}")
with open(audio_file, "rb") as f:
files = {"file": f}
data = {}
if language:
data["language"] = language
response = requests.post(
f"{BASE_URL}/transcribe",
files=files,
data=data,
)
response.raise_for_status()
result = response.json()
print(f"Transcription: {result['text']}")
print(f"Duration: {result['duration']:.2f}s")
return result
def main():
"""Run example workflow."""
print("=" * 60)
print("voicebox Backend API Example")
print("=" * 60)
print()
# 1. Check health
print("1. Checking server health...")
check_health()
# 2. Create a profile
print("2. Creating voice profile...")
profile = create_profile(
name="Example Voice",
description="A test voice profile",
language="en",
)
profile_id = profile["id"]
print()
# 3. Add samples (you'll need actual audio files)
print("3. Adding samples...")
print(" (Skipping - add your own audio files here)")
# Uncomment and add your audio file:
# sample = add_sample(
# profile_id,
# "path/to/your/sample.wav",
# "This is the transcript of the audio",
# )
print()
# 4. Generate speech (requires samples to be added first)
print("4. Generating speech...")
print(" (Skipping - add samples first)")
# Uncomment after adding samples:
# generation = generate_speech(
# profile_id,
# "Hello, this is a test of the voice cloning system.",
# language="en",
# seed=42,
# )
#
# # 5. Download audio
# print("\n5. Downloading audio...")
# download_audio(generation["id"], "output.wav")
print()
# 6. List profiles
print("6. Listing all profiles...")
list_profiles()
print()
# 7. List history
print("7. Listing generation history...")
list_history(limit=5)
print()
# 8. Transcribe audio (you'll need an audio file)
print("8. Transcribing audio...")
print(" (Skipping - add your own audio file here)")
# Uncomment and add your audio file:
# transcribe_audio("path/to/audio.wav", language="en")
print()
print("=" * 60)
print("Example complete!")
print("=" * 60)
if __name__ == "__main__":
main()
+47 -290
View File
@@ -58,38 +58,8 @@ from .utils.progress import get_progress_manager
from .utils.tasks import get_task_manager
from .utils.cache import clear_voice_prompt_cache
from .platform_detect import get_backend_type
# Keep references to fire-and-forget background tasks to prevent GC
_background_tasks: set = set()
# Generation queue — serializes TTS inference to avoid GPU contention
_generation_queue: asyncio.Queue = None # type: ignore # initialized at startup
def _create_background_task(coro) -> asyncio.Task:
"""Create a background task and prevent it from being garbage collected."""
task = asyncio.create_task(coro)
_background_tasks.add(task)
task.add_done_callback(_background_tasks.discard)
return task
async def _generation_worker():
"""Worker that processes generation tasks one at a time."""
while True:
coro = await _generation_queue.get()
try:
await coro
except Exception:
import traceback
traceback.print_exc()
finally:
_generation_queue.task_done()
def _enqueue_generation(coro):
"""Add a generation coroutine to the serial queue."""
_generation_queue.put_nowait(coro)
from .services.task_queue import create_background_task, enqueue_generation, init_queue
from .services.generation import run_generation
app = FastAPI(
@@ -736,9 +706,8 @@ async def generate_speech(
if not profile:
raise HTTPException(status_code=404, detail="Profile not found")
from .backends import get_tts_backend_for_engine, engine_has_model_sizes
from .backends import engine_has_model_sizes
engine = data.engine or "qwen"
tts_model = get_tts_backend_for_engine(engine)
model_size = data.model_size or "1.7B"
# Create the history entry immediately with status="generating"
@@ -779,111 +748,21 @@ async def generate_speech(
pass
# Kick off TTS in background
async def _run_generation():
bg_db = next(get_db())
try:
# Load model
from .backends import load_engine_model, engine_needs_trim
await load_engine_model(engine, model_size)
# Create voice prompt
voice_prompt = await profiles.create_voice_prompt_for_profile(
data.profile_id,
bg_db,
use_cache=True,
engine=engine,
)
from .utils.chunked_tts import generate_chunked
trim_fn = None
if engine_needs_trim(engine):
from .utils.audio import trim_tts_output
trim_fn = trim_tts_output
audio, sample_rate = await generate_chunked(
tts_model,
data.text,
voice_prompt,
language=data.language,
seed=data.seed,
instruct=data.instruct,
max_chunk_chars=data.max_chunk_chars,
crossfade_ms=data.crossfade_ms,
trim_fn=trim_fn,
)
if data.normalize:
from .utils.audio import normalize_audio
audio = normalize_audio(audio)
duration = len(audio) / sample_rate
# Always save clean version first
clean_audio_path = config.get_generations_dir() / f"{generation_id}.wav"
from .utils.audio import save_audio
save_audio(audio, str(clean_audio_path), sample_rate)
from . import versions as versions_mod
has_effects = effects_chain_config and any(
e.get("enabled", True) for e in effects_chain_config
)
# Create clean version entry
versions_mod.create_version(
generation_id=generation_id,
label="original",
audio_path=str(clean_audio_path),
db=bg_db,
effects_chain=None,
is_default=not has_effects,
)
# Apply effects and create processed version if configured
final_audio_path = str(clean_audio_path)
if has_effects:
from .utils.effects import apply_effects, validate_effects_chain
error_msg = validate_effects_chain(effects_chain_config)
if error_msg:
print(f"Warning: invalid effects chain, skipping: {error_msg}")
else:
processed_audio = apply_effects(audio, sample_rate, effects_chain_config)
processed_path = config.get_generations_dir() / f"{generation_id}_processed.wav"
save_audio(processed_audio, str(processed_path), sample_rate)
final_audio_path = str(processed_path)
versions_mod.create_version(
generation_id=generation_id,
label="version-2",
audio_path=str(processed_path),
db=bg_db,
effects_chain=effects_chain_config,
is_default=True,
)
# Update the record to completed
await history.update_generation_status(
generation_id=generation_id,
status="completed",
db=bg_db,
audio_path=final_audio_path,
duration=duration,
)
except Exception as e:
import traceback
traceback.print_exc()
await history.update_generation_status(
generation_id=generation_id,
status="failed",
db=bg_db,
error=str(e),
)
finally:
task_manager.complete_generation(generation_id)
bg_db.close()
_enqueue_generation(_run_generation())
enqueue_generation(run_generation(
generation_id=generation_id,
profile_id=data.profile_id,
text=data.text,
language=data.language,
engine=engine,
model_size=model_size,
seed=data.seed,
normalize=data.normalize,
effects_chain=effects_chain_config,
instruct=data.instruct,
mode="generate",
max_chunk_chars=data.max_chunk_chars,
crossfade_ms=data.crossfade_ms,
))
return generation
@@ -913,70 +792,17 @@ async def retry_generation(generation_id: str, db: Session = Depends(get_db)):
text=gen.text,
)
# Resolve engine/model from stored values
retry_engine = gen.engine or "qwen"
retry_model_size = gen.model_size or "1.7B"
from .backends import get_tts_backend_for_engine
tts_model = get_tts_backend_for_engine(retry_engine)
async def _run_retry():
bg_db = next(get_db())
try:
from .backends import load_engine_model, engine_needs_trim
await load_engine_model(retry_engine, retry_model_size)
voice_prompt = await profiles.create_voice_prompt_for_profile(
gen.profile_id,
bg_db,
use_cache=True,
engine=retry_engine,
)
from .utils.chunked_tts import generate_chunked
trim_fn = None
if engine_needs_trim(retry_engine):
from .utils.audio import trim_tts_output
trim_fn = trim_tts_output
audio, sample_rate = await generate_chunked(
tts_model,
gen.text,
voice_prompt,
language=gen.language,
seed=gen.seed,
instruct=gen.instruct,
trim_fn=trim_fn,
)
duration = len(audio) / sample_rate
audio_path = config.get_generations_dir() / f"{generation_id}.wav"
from .utils.audio import save_audio
save_audio(audio, str(audio_path), sample_rate)
await history.update_generation_status(
generation_id=generation_id,
status="completed",
db=bg_db,
audio_path=str(audio_path),
duration=duration,
)
except Exception as e:
import traceback
traceback.print_exc()
await history.update_generation_status(
generation_id=generation_id,
status="failed",
db=bg_db,
error=str(e),
)
finally:
task_manager.complete_generation(generation_id)
bg_db.close()
_enqueue_generation(_run_retry())
enqueue_generation(run_generation(
generation_id=generation_id,
profile_id=gen.profile_id,
text=gen.text,
language=gen.language,
engine=gen.engine or "qwen",
model_size=gen.model_size or "1.7B",
seed=gen.seed,
instruct=gen.instruct,
mode="retry",
))
return models.GenerationResponse.model_validate(gen)
@@ -993,13 +819,6 @@ async def regenerate_generation(generation_id: str, db: Session = Depends(get_db
if (gen.status or "completed") != "completed":
raise HTTPException(status_code=400, detail="Generation must be completed to regenerate")
from .backends import get_tts_backend_for_engine
from . import versions as versions_mod
regen_engine = gen.engine or "qwen"
regen_model_size = gen.model_size or "1.7B"
tts_model = get_tts_backend_for_engine(regen_engine)
# Set to generating so the UI shows the loader and SSE picks it up
gen.status = "generating"
gen.error = None
@@ -1015,78 +834,18 @@ async def regenerate_generation(generation_id: str, db: Session = Depends(get_db
version_id = str(uuid.uuid4())
async def _run_regenerate():
bg_db = next(get_db())
try:
from .backends import load_engine_model, engine_needs_trim
await load_engine_model(regen_engine, regen_model_size)
voice_prompt = await profiles.create_voice_prompt_for_profile(
gen.profile_id,
bg_db,
use_cache=True,
engine=regen_engine,
)
from .utils.chunked_tts import generate_chunked
trim_fn = None
if engine_needs_trim(regen_engine):
from .utils.audio import trim_tts_output
trim_fn = trim_tts_output
audio, sample_rate = await generate_chunked(
tts_model,
gen.text,
voice_prompt,
language=gen.language,
seed=None, # New seed for variation
instruct=gen.instruct,
trim_fn=trim_fn,
)
from .utils.audio import normalize_audio, save_audio
audio = normalize_audio(audio)
duration = len(audio) / sample_rate
audio_path = config.get_generations_dir() / f"{generation_id}_{version_id[:8]}.wav"
save_audio(audio, str(audio_path), sample_rate)
# Count existing versions to auto-label
existing = versions_mod.list_versions(generation_id, bg_db)
label = f"take-{len(existing) + 1}"
versions_mod.create_version(
generation_id=generation_id,
label=label,
audio_path=str(audio_path),
db=bg_db,
effects_chain=None,
is_default=True,
)
await history.update_generation_status(
generation_id=generation_id,
status="completed",
db=bg_db,
audio_path=str(audio_path),
duration=duration,
)
except Exception as e:
import traceback
traceback.print_exc()
await history.update_generation_status(
generation_id=generation_id,
status="failed",
db=bg_db,
error=str(e),
)
finally:
task_manager.complete_generation(generation_id)
bg_db.close()
_enqueue_generation(_run_regenerate())
enqueue_generation(run_generation(
generation_id=generation_id,
profile_id=gen.profile_id,
text=gen.text,
language=gen.language,
engine=gen.engine or "qwen",
model_size=gen.model_size or "1.7B",
seed=gen.seed,
instruct=gen.instruct,
mode="regenerate",
version_id=version_id,
))
return models.GenerationResponse.model_validate(gen)
@@ -1428,7 +1187,7 @@ async def transcribe_audio(
get_task_manager().error_download(progress_model_name, str(e))
get_task_manager().start_download(progress_model_name)
_create_background_task(download_whisper_background())
create_background_task(download_whisper_background())
# Return 202 Accepted
raise HTTPException(
@@ -2196,7 +1955,7 @@ async def migrate_models(request: models.ModelMigrateRequest):
progress_manager.update_progress("migration", 0, 0, status="error")
progress_manager.mark_error("migration", str(e))
_create_background_task(migrate_background())
create_background_task(migrate_background())
return {"source": str(source), "destination": str(destination)}
@@ -2449,7 +2208,7 @@ async def trigger_model_download(request: models.ModelDownloadRequest):
)
# Start download in background task (don't await)
_create_background_task(download_in_background())
create_background_task(download_in_background())
# Return immediately - frontend should poll progress endpoint
return {"message": f"Model {request.model_name} download started"}
@@ -2665,7 +2424,7 @@ async def download_cuda_backend():
import logging
logging.getLogger(__name__).error(f"CUDA download failed: {e}")
_create_background_task(_download())
create_background_task(_download())
return {"message": "CUDA backend download started", "progress_key": "cuda-backend"}
@@ -2731,14 +2490,12 @@ def _get_gpu_status() -> str:
@app.on_event("startup")
async def startup_event():
"""Run on application startup."""
global _generation_queue
print("voicebox API starting up...")
database.init_db()
print(f"Database initialized at {database._db_path}")
# Start the serial generation worker
_generation_queue = asyncio.Queue()
_create_background_task(_generation_worker())
init_queue()
# Mark any stale "generating" records as failed — these are leftovers
# from a previous process that was killed mid-generation
@@ -2760,7 +2517,7 @@ async def startup_event():
# Auto-update CUDA binary if installed but outdated
from .cuda_download import check_and_update_cuda_binary
_create_background_task(check_and_update_cuda_binary())
create_background_task(check_and_update_cuda_binary())
# Initialize progress manager with main event loop for thread-safe operations
try:
+1
View File
@@ -0,0 +1 @@
# Services layer — generation orchestration and background task management.
+253
View File
@@ -0,0 +1,253 @@
"""
Unified TTS generation orchestration.
Replaces the three near-identical closures (_run_generation, _run_retry,
_run_regenerate) that lived in main.py with a single ``run_generation()``
function parameterized by *mode*.
Mode differences:
- "generate" : full pipeline -- save clean version, optionally apply
effects and create a processed version.
- "retry" : re-runs a failed generation with the same seed.
No effects, no version creation.
- "regenerate" : re-runs with seed=None for variation. Creates a new
version with an auto-incremented "take-N" label.
"""
from __future__ import annotations
import traceback
from typing import Literal, Optional
from .. import config, history, profiles
from ..database import get_db
from ..utils.tasks import get_task_manager
async def run_generation(
*,
generation_id: str,
profile_id: str,
text: str,
language: str,
engine: str,
model_size: str,
seed: Optional[int],
normalize: bool = False,
effects_chain: Optional[list] = None,
instruct: Optional[str] = None,
mode: Literal["generate", "retry", "regenerate"],
max_chunk_chars: Optional[int] = None,
crossfade_ms: Optional[int] = None,
version_id: Optional[str] = None,
) -> None:
"""Execute TTS inference and persist the result.
This is the single entry point for all background generation work.
It is designed to be enqueued via ``services.task_queue.enqueue_generation``.
"""
from ..backends import load_engine_model, get_tts_backend_for_engine, engine_needs_trim
from ..utils.chunked_tts import generate_chunked
from ..utils.audio import normalize_audio, save_audio, trim_tts_output
task_manager = get_task_manager()
bg_db = next(get_db())
try:
# --- Load model --------------------------------------------------
await load_engine_model(engine, model_size)
tts_model = get_tts_backend_for_engine(engine)
# --- Build voice prompt ------------------------------------------
voice_prompt = await profiles.create_voice_prompt_for_profile(
profile_id,
bg_db,
use_cache=True,
engine=engine,
)
# --- Inference ---------------------------------------------------
trim_fn = trim_tts_output if engine_needs_trim(engine) else None
gen_kwargs: dict = dict(
language=language,
seed=seed if mode != "regenerate" else None,
instruct=instruct,
trim_fn=trim_fn,
)
if max_chunk_chars is not None:
gen_kwargs["max_chunk_chars"] = max_chunk_chars
if crossfade_ms is not None:
gen_kwargs["crossfade_ms"] = crossfade_ms
audio, sample_rate = await generate_chunked(
tts_model, text, voice_prompt, **gen_kwargs
)
# --- Normalize (generate and regenerate always; retry skips) -----
if normalize or mode == "regenerate":
audio = normalize_audio(audio)
duration = len(audio) / sample_rate
# --- Persist audio and update status -----------------------------
if mode == "generate":
final_path = _save_generate(
generation_id=generation_id,
audio=audio,
sample_rate=sample_rate,
effects_chain=effects_chain,
save_audio=save_audio,
db=bg_db,
)
elif mode == "retry":
final_path = _save_retry(
generation_id=generation_id,
audio=audio,
sample_rate=sample_rate,
save_audio=save_audio,
)
elif mode == "regenerate":
final_path = _save_regenerate(
generation_id=generation_id,
version_id=version_id,
audio=audio,
sample_rate=sample_rate,
save_audio=save_audio,
db=bg_db,
)
await history.update_generation_status(
generation_id=generation_id,
status="completed",
db=bg_db,
audio_path=final_path,
duration=duration,
)
except Exception as e:
traceback.print_exc()
await history.update_generation_status(
generation_id=generation_id,
status="failed",
db=bg_db,
error=str(e),
)
finally:
task_manager.complete_generation(generation_id)
bg_db.close()
# ---------------------------------------------------------------------
# Mode-specific save helpers (sync, return final audio path)
# ---------------------------------------------------------------------
def _save_generate(
*,
generation_id: str,
audio,
sample_rate: int,
effects_chain: Optional[list],
save_audio,
db,
) -> str:
"""Save clean version and optionally an effects-processed version.
Returns the final audio path (processed if effects were applied,
otherwise clean).
"""
from .. import versions as versions_mod
clean_audio_path = config.get_generations_dir() / f"{generation_id}.wav"
save_audio(audio, str(clean_audio_path), sample_rate)
has_effects = effects_chain and any(
e.get("enabled", True) for e in effects_chain
)
versions_mod.create_version(
generation_id=generation_id,
label="original",
audio_path=str(clean_audio_path),
db=db,
effects_chain=None,
is_default=not has_effects,
)
final_audio_path = str(clean_audio_path)
if has_effects:
from ..utils.effects import apply_effects, validate_effects_chain
error_msg = validate_effects_chain(effects_chain)
if error_msg:
print(f"Warning: invalid effects chain, skipping: {error_msg}")
else:
processed_audio = apply_effects(audio, sample_rate, effects_chain)
processed_path = (
config.get_generations_dir() / f"{generation_id}_processed.wav"
)
save_audio(processed_audio, str(processed_path), sample_rate)
final_audio_path = str(processed_path)
versions_mod.create_version(
generation_id=generation_id,
label="version-2",
audio_path=str(processed_path),
db=db,
effects_chain=effects_chain,
is_default=True,
)
return final_audio_path
def _save_retry(
*,
generation_id: str,
audio,
sample_rate: int,
save_audio,
) -> str:
"""Save retry output -- single file, no versions.
Returns the audio path.
"""
audio_path = config.get_generations_dir() / f"{generation_id}.wav"
save_audio(audio, str(audio_path), sample_rate)
return str(audio_path)
def _save_regenerate(
*,
generation_id: str,
version_id: Optional[str],
audio,
sample_rate: int,
save_audio,
db,
) -> str:
"""Save regeneration output as a new version with auto-label.
Returns the audio path.
"""
from .. import versions as versions_mod
suffix = version_id[:8] if version_id else generation_id[:8]
audio_path = config.get_generations_dir() / f"{generation_id}_{suffix}.wav"
save_audio(audio, str(audio_path), sample_rate)
existing = versions_mod.list_versions(generation_id, db)
label = f"take-{len(existing) + 1}"
versions_mod.create_version(
generation_id=generation_id,
label=label,
audio_path=str(audio_path),
db=db,
effects_chain=None,
is_default=True,
)
return str(audio_path)
+48
View File
@@ -0,0 +1,48 @@
"""
Serial generation queue ensures only one TTS inference runs at a time
to avoid GPU contention.
"""
import asyncio
import traceback
# Keep references to fire-and-forget background tasks to prevent GC
_background_tasks: set = set()
# Generation queue — serializes TTS inference to avoid GPU contention
_generation_queue: asyncio.Queue = None # type: ignore # initialized at startup
def create_background_task(coro) -> asyncio.Task:
"""Create a background task and prevent it from being garbage collected."""
task = asyncio.create_task(coro)
_background_tasks.add(task)
task.add_done_callback(_background_tasks.discard)
return task
async def _generation_worker():
"""Worker that processes generation tasks one at a time."""
while True:
coro = await _generation_queue.get()
try:
await coro
except Exception:
traceback.print_exc()
finally:
_generation_queue.task_done()
def enqueue_generation(coro):
"""Add a generation coroutine to the serial queue."""
_generation_queue.put_nowait(coro)
def init_queue():
"""Initialize the generation queue and start the worker.
Must be called once during application startup (inside a running event loop).
"""
global _generation_queue
_generation_queue = asyncio.Queue()
create_background_task(_generation_worker())
+2 -2
View File
@@ -192,7 +192,7 @@ Add to `backend/requirements.txt`. Watch for:
**Pinned dependency conflicts** — If the model package pins old versions of numpy, torch, or transformers, install with `--no-deps` and list sub-dependencies manually. This is what Chatterbox requires:
```
# In justfile/Makefile (NOT requirements.txt):
# In justfile (NOT requirements.txt):
pip install --no-deps chatterbox-tts
# In requirements.txt — list the transitive deps:
@@ -337,7 +337,7 @@ The tracker monkey-patches tqdm to intercept HuggingFace's internal progress bar
- [ ] `backend/backends/__init__.py``ModelConfig` entry + `TTS_ENGINES` + `get_tts_backend_for_engine()` elif
- [ ] `backend/models.py` — engine name in regex, any new language codes
- [ ] `backend/requirements.txt` — dependencies added (check for `--no-deps` needs)
- [ ] `justfile` / `Makefile``--no-deps` install step if needed
- [ ] `justfile``--no-deps` install step if needed
### API (`backend/main.py`)
No changes needed — the model config registry handles all dispatch automatically.
+39 -10
View File
@@ -52,7 +52,7 @@ setup-python:
{{ pip }} install -r {{ backend_dir }}/requirements-mlx.txt
fi
{{ pip }} install git+https://github.com/QwenLM/Qwen3-TTS.git
{{ pip }} install pyinstaller -q
{{ pip }} install pyinstaller ruff pytest pytest-asyncio -q
echo "Python environment ready."
[windows]
@@ -75,7 +75,7 @@ setup-python:
& "{{ pip }}" install -r {{ backend_dir }}/requirements.txt
& "{{ pip }}" install --no-deps chatterbox-tts
& "{{ pip }}" install git+https://github.com/QwenLM/Qwen3-TTS.git
& "{{ pip }}" install pyinstaller -q
& "{{ pip }}" install pyinstaller ruff pytest pytest-asyncio -q
Write-Host "Python environment ready."
# Install JavaScript dependencies
@@ -234,21 +234,50 @@ build-web:
# ─── Code Quality ────────────────────────────────────────────────────
# Run all checks (lint + format + typecheck)
check:
# Run all checks (JS + Python lint + format)
check: check-js check-python
# JS/TS: lint + format + typecheck (Biome)
check-js:
bun run check
# Lint with Biome
lint:
# Python: lint + format check (ruff)
check-python: _ensure-venv
{{ venv_bin }}/ruff check {{ backend_dir }}
{{ venv_bin }}/ruff format --check {{ backend_dir }}
# Lint with Biome (JS) + ruff (Python)
lint: _ensure-venv
bun run lint
{{ venv_bin }}/ruff check {{ backend_dir }}
# Format with Biome
format:
# Format with Biome (JS) + ruff (Python)
format: _ensure-venv
bun run format
{{ venv_bin }}/ruff format {{ backend_dir }}
# Fix lint + format issues
fix:
# Fix lint + format issues (JS + Python)
fix: _ensure-venv
bun run check:fix
{{ venv_bin }}/ruff check {{ backend_dir }} --fix
{{ venv_bin }}/ruff format {{ backend_dir }}
# Python lint only
lint-python: _ensure-venv
{{ venv_bin }}/ruff check {{ backend_dir }}
# Python format only
format-python: _ensure-venv
{{ venv_bin }}/ruff format {{ backend_dir }}
# Python auto-fix lint issues
fix-python: _ensure-venv
{{ venv_bin }}/ruff check {{ backend_dir }} --fix
{{ venv_bin }}/ruff format {{ backend_dir }}
# Run Python tests
test: _ensure-venv
{{ venv_bin }}/python -m pytest {{ backend_dir }}/tests -v
# ─── Database ─────────────────────────────────────────────────────────
+81
View File
@@ -0,0 +1,81 @@
[project]
name = "voicebox-backend"
version = "0.2.3"
requires-python = ">=3.12"
# ---------------------------------------------------------------------------
# Ruff linter + formatter
# ---------------------------------------------------------------------------
[tool.ruff]
target-version = "py312"
line-length = 120
src = ["backend"]
# Files/dirs to skip entirely.
extend-exclude = [
"backend/voicebox-server.spec",
"backend/build_binary.py",
]
[tool.ruff.lint]
select = [
"F", # pyflakes
"E", # pycodestyle errors
"W", # pycodestyle warnings
"I", # isort
"N", # pep8-naming
"UP", # pyupgrade (modernize syntax for 3.12)
"B", # flake8-bugbear
"A", # flake8-builtins (shadowing built-in names)
"SIM", # flake8-simplify
"T20", # flake8-print (flag print() calls)
"RET", # flake8-return
"PIE", # misc lints
"PT", # flake8-pytest-style
"RUF", # ruff-specific rules
"ERA", # commented-out code detection
"FIX", # flag TODO/FIXME/HACK/XXX for review
]
ignore = [
# Allow print() in existing code -- remove items from this list as files
# are migrated to logging during the refactor.
"T201", # print() found
# These conflict with the formatter or are too noisy during migration:
"E501", # line too long (formatter handles this)
"RET504", # unnecessary assignment before return
"SIM108", # use ternary operator (sometimes less readable)
"B008", # function call in default argument (FastAPI Depends() pattern)
"UP007", # use X | Y for union (auto-fixed by UP, but noisy on big diffs)
]
# Per-file rule overrides.
[tool.ruff.lint.per-file-ignores]
# Tests can use assert, print, and magic values freely.
"backend/tests/**" = ["S101", "T201", "PLR2004", "ERA001"]
# __init__.py re-exports are expected to have unused imports.
"**/__init__.py" = ["F401"]
# Entry points and scripts legitimately use print.
"backend/server.py" = ["T201"]
"backend/main.py" = ["T201"]
[tool.ruff.lint.isort]
known-first-party = ["backend"]
# Group "from backend.*" imports into the first-party section.
force-single-line = false
combine-as-imports = true
[tool.ruff.format]
quote-style = "double"
indent-style = "space"
docstring-code-format = true
# ---------------------------------------------------------------------------
# pytest
# ---------------------------------------------------------------------------
[tool.pytest.ini_options]
testpaths = ["backend/tests"]
asyncio_mode = "auto"