Migrate to uv sync and pytest coverage workflow

Dockerfile

@@ -2,13 +2,13 @@ FROM nvidia/cuda:12.4.1-cudnn-devel-ubuntu22.04
 
 ENV DEBIAN_FRONTEND=noninteractive \
     PYTHONUNBUFFERED=1 \
-    PIP_NO_CACHE_DIR=1 \
+    UV_SYSTEM_PYTHON=1 \
+    UV_EXTRA_INDEX_URL=https://download.pytorch.org/whl/cu121 \
     PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True,max_split_size_mb:128
 
 # Base OS tools + media stack + Python toolchain.
 RUN apt-get update && apt-get install -y --no-install-recommends \
     python3.10 \
-    python3-pip \
     python3.10-dev \
     python3.10-venv \
     ffmpeg \
@@ -23,18 +23,17 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
     libgl1 \
     && rm -rf /var/lib/apt/lists/* \
     && ln -sf /usr/bin/python3.10 /usr/bin/python \
-    && ln -sf /usr/bin/pip3 /usr/bin/pip \
     && git lfs install
 
+# Install uv.
+COPY --from=ghcr.io/astral-sh/uv:0.6.17 /uv /uvx /usr/local/bin/
+
 WORKDIR /app
 
-# Install project Python dependencies first for better layer caching.
-COPY requirements.txt /app/requirements.txt
+# Install app Python dependencies first for better layer caching.
+COPY pyproject.toml README.md /app/
 
-RUN python -m pip install --upgrade pip setuptools wheel \
-    && pip install --index-url https://download.pytorch.org/whl/cu121 torch torchvision torchaudio \
-    && pip install -r /app/requirements.txt \
-    && pip install -U accelerate safetensors
+RUN uv sync --system --no-dev --no-install-project
 
 # Ensure HunyuanVideo source exists in the image.
 ARG HUNYUAN_REPO=https://github.com/Tencent-Hunyuan/HunyuanVideo-1.5.git
@@ -44,22 +43,23 @@ RUN if [ ! -f /app/HunyuanVideo-1.5/requirements.txt ]; then \
     fi
 
 # Install HunyuanVideo dependencies from upstream README guidance.
-RUN pip install -r /app/HunyuanVideo-1.5/requirements.txt \
-    && pip install --upgrade tencentcloud-sdk-python \
-    && pip install sgl-kernel==0.3.18
+RUN uv pip install --system -r /app/HunyuanVideo-1.5/requirements.txt \
+    && uv pip install --system --upgrade tencentcloud-sdk-python \
+    && uv pip install --system sgl-kernel==0.3.18
 
 # Optional attention backends from Hunyuan docs.
 # Build with: --build-arg INSTALL_OPTIONAL_ATTENTION=1
 ARG INSTALL_OPTIONAL_ATTENTION=0
 RUN if [ "$INSTALL_OPTIONAL_ATTENTION" = "1" ]; then \
-      pip install flash-attn --no-build-isolation && \
+    uv pip install --system flash-attn --no-build-isolation && \
       git clone --depth 1 https://github.com/Tencent-Hunyuan/flex-block-attn.git /tmp/flex-block-attn && \
       cd /tmp/flex-block-attn && git submodule update --init --recursive && python setup.py install && \
       git clone --depth 1 https://github.com/cooper1637/SageAttention.git /tmp/SageAttention && \
       cd /tmp/SageAttention && python setup.py install; \
     fi
 
-COPY . .
+# Copy application source after dependencies are installed.
+COPY . /app
 
 # Default pipeline entrypoint.
 CMD ["python", "run_video_pipeline.py"]

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
 ```

pyproject.toml

@@ -0,0 +1,30 @@
+[project]
+name = "content-generation"
+version = "0.1.0"
+description = "Video content generation pipeline"
+readme = "README.md"
+requires-python = ">=3.10"
+dependencies = [
+  "boto3",
+  "python-dotenv",
+  "elevenlabs",
+  "torch",
+  "transformers",
+  "diffusers",
+  "accelerate",
+  "safetensors",
+  "huggingface-hub",
+  "bitsandbytes",
+]
+
+[dependency-groups]
+dev = [
+  "pytest",
+  "pytest-cov",
+  "coverage[toml]",
+]
+
+[tool.pytest.ini_options]
+addopts = "-q --cov=run_video_pipeline --cov=src/logging_config.py --cov-report=term-missing --cov-fail-under=70"
+testpaths = ["tests"]
+python_files = ["test_*.py"]

requirements.txt

@@ -1,17 +0,0 @@
-# Core project dependencies inferred from imports in this workspace
-boto3
-python-dotenv
-elevenlabs
-torch
-transformers
-diffusers
-accelerate
-safetensors
-huggingface-hub
-
-# Optional but commonly required for 4-bit quantization with BitsAndBytesConfig
-bitsandbytes
-
-# Notes:
-# - ffmpeg/ffprobe are required by video scripts but installed at OS level, not via pip.
-# - torchrun is provided by the torch package.

run_video_pipeline.py

@@ -134,6 +134,16 @@ def main() -> int:
                 cwd=args.base_dir,
             )
 
+        if not args.skip_generate:
+            run_step(
+                "Generate Images",
+                _with_log_level([
+                    sys.executable,
+                    str(SCRIPT_DIR / "generate_images.py"),
+                ], args.log_level),
+                cwd=args.base_dir,
+            )
+
         if not args.skip_generate:
             run_step(
                 "Generate Videos",

tests/test_logging_decorator.py

@@ -1,25 +1,18 @@
 from __future__ import annotations
 
 import logging
-import unittest
 
 from src.logging_config import debug_log_lifecycle
 
 
-class TestDebugLogLifecycle(unittest.TestCase):
-    def test_logs_function_start_and_end(self) -> None:
-        @debug_log_lifecycle
-        def sample(a: int, b: int) -> int:
-            return a + b
+def test_logs_function_start_and_end(caplog) -> None:
+    @debug_log_lifecycle
+    def sample(a: int, b: int) -> int:
+        return a + b
 
-        with self.assertLogs(sample.__module__, level="DEBUG") as captured:
-            result = sample(2, 3)
+    with caplog.at_level(logging.DEBUG, logger=sample.__module__):
+        result = sample(2, 3)
 
-        self.assertEqual(result, 5)
-        joined = "\n".join(captured.output)
-        self.assertIn("Start TestDebugLogLifecycle.test_logs_function_start_and_end.<locals>.sample", joined)
-        self.assertIn("End TestDebugLogLifecycle.test_logs_function_start_and_end.<locals>.sample", joined)
-
-
-if __name__ == "__main__":
-    unittest.main()
+    assert result == 5
+    assert "Start test_logs_function_start_and_end.<locals>.sample" in caplog.text
+    assert "End test_logs_function_start_and_end.<locals>.sample" in caplog.text

tests/test_pipeline_full_process.py

@@ -0,0 +1,109 @@
+from __future__ import annotations
+
+import json
+import sys
+import tempfile
+from argparse import Namespace
+from pathlib import Path
+from types import SimpleNamespace
+
+import pytest
+
+# Avoid requiring boto3 for orchestration tests.
+if "boto3" not in sys.modules:
+    sys.modules["boto3"] = SimpleNamespace(client=lambda *args, **kwargs: object())
+
+import run_video_pipeline as pipeline
+
+
+def test_full_generation_process_calls_all_scripts(monkeypatch) -> None:
+    with tempfile.TemporaryDirectory() as tmpdir:
+        base_dir = Path(tmpdir)
+        hunyuan_dir = base_dir / "HunyuanVideo-1.5"
+        images_dir = base_dir / "images"
+        videos_dir = base_dir / "videos"
+        audios_dir = base_dir / "audios"
+        merged_dir = base_dir / "merged"
+        output_path = base_dir / "results" / "final_output.mp4"
+        reel_script = base_dir / "reel_script.json"
+
+        hunyuan_dir.mkdir(parents=True)
+        (base_dir / "topic_description.txt").write_text("Test topic")
+
+        args = Namespace(
+            base_dir=base_dir,
+            hunyuan_dir=hunyuan_dir,
+            reel_script=reel_script,
+            images_dir=images_dir,
+            videos_dir=videos_dir,
+            audios_dir=audios_dir,
+            merged_dir=merged_dir,
+            output=output_path,
+            seed=1,
+            skip_generate=False,
+            skip_audio_generate=False,
+            skip_merge=False,
+            skip_concat=False,
+            skip_s3_upload=True,
+            log_level="DEBUG",
+        )
+
+        executed_scripts: list[str] = []
+
+        expected_scripts = [
+            "generate_script.py",
+            "generate_audios.py",
+            "generate_images.py",
+            "generate_videos.py",
+            "merge_audio_video.py",
+            "concat_merged.py",
+        ]
+
+        def fake_subprocess_run(cmd: list[str], check: bool, cwd: str | None = None):
+            script_name = Path(cmd[1]).name if len(cmd) > 1 else ""
+            if script_name not in expected_scripts:
+                pytest.fail(f"Unexpected external process call: {cmd}")
+
+            executed_scripts.append(script_name)
+
+            if script_name == "generate_script.py":
+                payload = {
+                    "shots": [
+                        {
+                            "shot_number": 1,
+                            "image_description": "A test image",
+                            "voiceover": "A test voiceover",
+                        }
+                    ]
+                }
+                reel_script.write_text(json.dumps(payload))
+            elif script_name == "generate_audios.py":
+                audios_dir.mkdir(parents=True, exist_ok=True)
+                (audios_dir / "output_1.mp3").write_bytes(b"audio")
+            elif script_name == "generate_images.py":
+                images_dir.mkdir(parents=True, exist_ok=True)
+                (images_dir / "shot_1.png").write_bytes(b"image")
+            elif script_name == "generate_videos.py":
+                videos_dir.mkdir(parents=True, exist_ok=True)
+                (videos_dir / "output_1.mp4").write_bytes(b"video")
+            elif script_name == "merge_audio_video.py":
+                merged_dir.mkdir(parents=True, exist_ok=True)
+                (merged_dir / "merged_1.mp4").write_bytes(b"merged")
+            elif script_name == "concat_merged.py":
+                output_path.parent.mkdir(parents=True, exist_ok=True)
+                output_path.write_bytes(b"final")
+
+            class Result:
+                returncode = 0
+
+            return Result()
+
+        monkeypatch.setattr(pipeline, "parse_args", lambda: args)
+        monkeypatch.setattr(pipeline.subprocess, "run", fake_subprocess_run)
+
+        rc = pipeline.main()
+
+        assert rc == 0
+        assert output_path.exists()
+        # Coverage check for orchestration: ensure every required script stage was called.
+        assert executed_scripts == expected_scripts