refactor: migrate to uv package manager with pyproject.toml

.dockerignore

@@ -8,3 +8,5 @@ data/
 *.md
 .env
 .venv/
+venv/
+uv.lock

CLAUDE.md

@@ -0,0 +1,57 @@
+# CLAUDE.md
+
+This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
+
+## Project Overview
+
+FFmpeg Worker is a dockerized REST API service that executes arbitrary FFmpeg commands. Jobs are submitted via API, processed sequentially by a background worker, and clients poll for status/progress.
+
+## Commands
+
+```bash
+# Run with Docker (recommended)
+docker-compose up -d --build
+
+# Install dependencies locally (requires uv: https://docs.astral.sh/uv/)
+uv sync
+
+# Run tests (excludes integration test)
+uv run pytest tests/ -v --ignore=tests/test_integration.py
+
+# Run single test
+uv run pytest tests/test_api.py::test_create_job -v
+
+# Run integration test (requires Docker running)
+uv run pytest tests/test_integration.py -v -s
+
+# Run locally (requires ffmpeg installed)
+uv run uvicorn app.main:app --reload
+```
+
+## Architecture
+
+**Request Flow:**
+1. `POST /jobs` → creates Job, stores in JobStore, enqueues job_id in JobQueue
+2. Background `worker_loop` dequeues job_id, runs FFmpeg, updates job status/progress
+3. `GET /jobs/{id}` → polls job status and real-time progress
+
+**Key Components:**
+- `app/main.py` - FastAPI app with lifespan manager that starts/stops worker
+- `app/queue.py` - JobQueue (asyncio.Queue wrapper), run_ffmpeg(), worker_loop()
+- `app/ffmpeg.py` - Command parsing, path resolution, progress parsing, ffprobe duration
+- `app/models.py` - Pydantic models (Job, JobStatus, Progress, CreateJobRequest, JobResponse)
+- `app/store.py` - In-memory JobStore (dict-based)
+
+**File Path Handling:**
+- API accepts relative paths (e.g., `input/video.mp4`)
+- `resolve_paths()` converts to absolute using DATA_PATH environment variable
+- Output files returned as relative paths
+
+## Environment Variables
+
+| Variable | Default | Description |
+|----------|---------|-------------|
+| DATA_PATH | /data | Mount point for media files |
+| FFMPEG_TIMEOUT | 3600 | Max job duration in seconds |
+| HOST | 0.0.0.0 | Server bind address |
+| PORT | 8000 | Server port |

Dockerfile

@@ -1,16 +1,19 @@
 FROM python:3.14-slim
 
-# Install FFmpeg
+# Install FFmpeg and curl (for uv installation)
 RUN apt-get update && \
-    apt-get install -y --no-install-recommends ffmpeg && \
+    apt-get install -y --no-install-recommends ffmpeg curl && \
     apt-get clean && \
     rm -rf /var/lib/apt/lists/*
 
+# Install uv
+COPY --from=ghcr.io/astral-sh/uv:latest /uv /usr/local/bin/uv
+
 WORKDIR /app
 
 # Install Python dependencies
-COPY requirements.txt .
-RUN pip install --no-cache-dir -r requirements.txt
+COPY pyproject.toml .
+RUN uv pip install --system --no-cache .
 
 # Copy application
 COPY app/ ./app/

pyproject.toml

@@ -0,0 +1,30 @@
+[project]
+name = "ffmpeg-worker"
+version = "1.0.0"
+description = "Dockerized FFmpeg worker with REST API"
+requires-python = ">=3.12"
+dependencies = [
+    "fastapi>=0.123.0",
+    "uvicorn[standard]>=0.38.0",
+    "pydantic>=2.12.5",
+]
+
+[project.optional-dependencies]
+dev = [
+    "pytest>=8.3.0",
+    "pytest-asyncio>=0.24.0",
+    "httpx>=0.28.1",
+    "requests>=2.32.0",
+]
+
+[tool.pytest.ini_options]
+asyncio_mode = "auto"
+testpaths = ["tests"]
+
+[tool.uv]
+dev-dependencies = [
+    "pytest>=8.3.0",
+    "pytest-asyncio>=0.24.0",
+    "httpx>=0.28.1",
+    "requests>=2.32.0",
+]

requirements.txt

@@ -1,7 +0,0 @@
-fastapi==0.123.0
-uvicorn[standard]==0.38.0
-pydantic==2.12.5
-pytest==8.3.0
-pytest-asyncio==0.24.0
-httpx==0.28.1
-requests==2.32.0