Video processing task utilities using Prefect for workflow management
Project description
twat-task
(work in progress)
Video processing pipeline utilities using Prefect for workflow management. This package provides a set of tasks and flows for processing video files, including audio extraction and transcription.
Features
- High-level interface for video processing pipelines
- Built-in tasks for common operations:
- Audio extraction from video files
- Speech-to-text transcription
- Workflow management using Prefect:
- Automatic retries for failed tasks
- Progress tracking and logging
- Task caching and resumability
- Pydantic models for data validation
- Type hints and modern Python features
Installation
pip install twat-task
TBD
License
MIT License
.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
twat_task-1.7.14.tar.gz
(9.6 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file twat_task-1.7.14.tar.gz.
File metadata
- Download URL: twat_task-1.7.14.tar.gz
- Upload date:
- Size: 9.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.6.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
3e0278f9eb78cf240a218b8f918715153f24355dd636b28940be40a8cad4356e
|
|
| MD5 |
4fb3a07c0709cb3ba27d0888ea45782a
|
|
| BLAKE2b-256 |
62a6708eb88aecad14c5777e53f991247b120621e9002b7ad340841636398933
|
File details
Details for the file twat_task-1.7.14-py3-none-any.whl.
File metadata
- Download URL: twat_task-1.7.14-py3-none-any.whl
- Upload date:
- Size: 6.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.6.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
21af86e33db51ad10302f0e760593b5fbe8028017e1eb0b851e9f83d371e212f
|
|
| MD5 |
74df4c534f5e5a906ebd93921e17e1db
|
|
| BLAKE2b-256 |
e8cd680d19dcf074d7e2face915bf300b441547fd93a7368d653e01c59e6b597
|
