Migrate to uv sync and pytest coverage workflow

README.md

@@ -14,9 +14,8 @@ Local Python:
 
 ```bash
 cp .env.example .env
-python3 -m venv .venv && source .venv/bin/activate
-pip install -r requirements.txt
-python run_video_pipeline.py
+uv sync --dev
+uv run python run_video_pipeline.py
 ```
 
 Docker (GPU):
@@ -61,8 +60,9 @@ docker run --rm --gpus all --env-file .env \
 1. Linux with NVIDIA GPU and CUDA runtime.
 2. `ffmpeg` and `ffprobe` available on PATH.
 3. Python 3.10+.
-4. Hunyuan model checkpoints under `HunyuanVideo-1.5/ckpts`.
-5. If using FLUX local download, access approved for `black-forest-labs/FLUX.1-schnell`.
+4. `uv` installed (https://docs.astral.sh/uv/).
+5. Hunyuan model checkpoints under `HunyuanVideo-1.5/ckpts`.
+6. If using FLUX local download, access approved for `black-forest-labs/FLUX.1-schnell`.
 
 ## Environment Variables
 
@@ -82,29 +82,28 @@ cp .env.example .env
 1. Create and activate a virtual environment:
 
 ```bash
-python3 -m venv .venv
+uv venv
 source .venv/bin/activate
 ```
 
 2. Install Python dependencies:
 
 ```bash
-python -m pip install --upgrade pip
-pip install -r requirements.txt
+uv sync --dev
 ```
 
 3. Install Hunyuan dependencies:
 
 ```bash
-pip install -r HunyuanVideo-1.5/requirements.txt
-pip install --upgrade tencentcloud-sdk-python
-pip install sgl-kernel==0.3.18
+uv pip install -r HunyuanVideo-1.5/requirements.txt
+uv pip install --upgrade tencentcloud-sdk-python
+uv pip install sgl-kernel==0.3.18
 ```
 
 4. Run full pipeline:
 
 ```bash
-python run_video_pipeline.py
+uv run python run_video_pipeline.py
 ```
 
 5. Common options:
@@ -207,5 +206,13 @@ docker run --rm --gpus all \
 8. Verify syntax quickly before running.
 
 ```bash
-python3 -m py_compile run_video_pipeline.py src/*.py
+uv run python -m py_compile run_video_pipeline.py src/*.py
+```
+
+## Testing
+
+Run tests with coverage:
+
+```bash
+uv run pytest
 ```