Ryan Malloy
8253c56d2c
✨ Features: - Multi-format encoding (MP4, WebM, OGV) with two-pass encoding - Professional quality presets (Low, Medium, High, Ultra) - Thumbnail generation and seekbar sprite creation - Background processing with Procrastinate integration - Type-safe configuration with Pydantic V2 - Modern Python tooling (uv, ruff, pytest) - Comprehensive test suite and documentation 🛠️ Tech Stack: - Python 3.11+ with full type hints - FFmpeg integration via ffmpeg-python - msprites2 fork for professional sprite generation - Procrastinate for scalable background tasks - Storage abstraction layer (local + future S3) 📚 Includes examples, API documentation, and development guides 🚀 Generated with Claude Code Co-Authored-By: Claude <noreply@anthropic.com>
106 lines
3.6 KiB
Python
106 lines
3.6 KiB
Python
#!/usr/bin/env python3
|
|
"""
|
|
Asynchronous video processing example using Procrastinate tasks.
|
|
|
|
This example demonstrates:
|
|
- Setting up Procrastinate for background processing
|
|
- Submitting video processing tasks
|
|
- Monitoring task status
|
|
"""
|
|
|
|
import asyncio
|
|
import tempfile
|
|
from pathlib import Path
|
|
|
|
import procrastinate
|
|
from video_processor import ProcessorConfig
|
|
from video_processor.tasks import setup_procrastinate
|
|
|
|
|
|
async def async_processing_example():
|
|
"""Demonstrate asynchronous video processing with Procrastinate."""
|
|
|
|
# Database connection string (adjust for your setup)
|
|
# For testing, you might use: "postgresql://user:password@localhost/dbname"
|
|
database_url = "postgresql://localhost/procrastinate_test"
|
|
|
|
try:
|
|
# Set up Procrastinate
|
|
app = setup_procrastinate(database_url)
|
|
|
|
with tempfile.TemporaryDirectory() as temp_dir:
|
|
temp_path = Path(temp_dir)
|
|
|
|
# Create config dictionary for serialization
|
|
config_dict = {
|
|
"base_path": str(temp_path),
|
|
"output_formats": ["mp4", "webm"],
|
|
"quality_preset": "medium",
|
|
}
|
|
|
|
# Example input file
|
|
input_file = Path("example_input.mp4")
|
|
|
|
if input_file.exists():
|
|
print(f"Submitting async processing job for: {input_file}")
|
|
|
|
# Submit video processing task
|
|
job = await app.tasks.process_video_async.defer_async(
|
|
input_path=str(input_file),
|
|
output_dir=str(temp_path / "outputs"),
|
|
config_dict=config_dict
|
|
)
|
|
|
|
print(f"Job submitted with ID: {job.id}")
|
|
print("Processing in background...")
|
|
|
|
# In a real application, you would monitor the job status
|
|
# and handle results when the task completes
|
|
|
|
else:
|
|
print(f"Input file not found: {input_file}")
|
|
print("Create an example video file or modify the path.")
|
|
|
|
except Exception as e:
|
|
print(f"Database connection failed: {e}")
|
|
print("Make sure PostgreSQL is running and the database exists.")
|
|
|
|
|
|
async def thumbnail_generation_example():
|
|
"""Demonstrate standalone thumbnail generation."""
|
|
|
|
database_url = "postgresql://localhost/procrastinate_test"
|
|
|
|
try:
|
|
app = setup_procrastinate(database_url)
|
|
|
|
with tempfile.TemporaryDirectory() as temp_dir:
|
|
temp_path = Path(temp_dir)
|
|
|
|
input_file = Path("example_input.mp4")
|
|
|
|
if input_file.exists():
|
|
print("Submitting thumbnail generation job...")
|
|
|
|
job = await app.tasks.generate_thumbnail_async.defer_async(
|
|
video_path=str(input_file),
|
|
output_dir=str(temp_path),
|
|
timestamp=30, # 30 seconds into the video
|
|
video_id="example_thumb"
|
|
)
|
|
|
|
print(f"Thumbnail job submitted: {job.id}")
|
|
|
|
else:
|
|
print("Input file not found for thumbnail generation.")
|
|
|
|
except Exception as e:
|
|
print(f"Database connection failed: {e}")
|
|
|
|
|
|
if __name__ == "__main__":
|
|
print("=== Async Video Processing Example ===")
|
|
asyncio.run(async_processing_example())
|
|
|
|
print("\n=== Thumbnail Generation Example ===")
|
|
asyncio.run(thumbnail_generation_example()) |