dag-factory | Dynamically generate Apache Airflow DAGs from YAML | Content Management System library
kandi X-RAY | dag-factory Summary
kandi X-RAY | dag-factory Summary
dag-factory is a Python library typically used in Web Site, Content Management System, Docker applications. dag-factory has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'pip install dag-factory' or download it from GitHub, PyPI.
Dynamically generate Apache Airflow DAGs from YAML configuration files
Dynamically generate Apache Airflow DAGs from YAML configuration files
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Quality
Security
License
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Support
dag-factory has a medium active ecosystem.
It has 918 star(s) with 157 fork(s). There are 25 watchers for this library.
It had no major release in the last 12 months.
There are 40 open issues and 28 have been closed. On average issues are closed in 30 days. There are 3 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of dag-factory is 0.19.0
Quality
dag-factory has 0 bugs and 0 code smells.
Security
dag-factory has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
dag-factory code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
dag-factory is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
dag-factory releases are not available. You will need to build from source code and install.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
Installation instructions, examples and code snippets are available.
dag-factory saves you 406 person hours of effort in developing the same functionality from scratch.
It has 1694 lines of code, 105 functions and 17 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed dag-factory and discovered the below as its top functions. This is intended to give you an instant insight into dag-factory implemented functionality, and help decide if they suit your requirements.
- Tries to parse a datetime object
- Return timedelta from string
- Remove dags from dag - fag
- Create a task
- Get the DAG configuration
- Set the dependencies of the task
- Build the dag
- Make a dict of task groups
- Create a timetable
- Return a dictionary mapping DAG to system configuration
- Get the default configuration
- Runs the build
- Print status
- Generate dags
- Register dags
Get all kandi verified functions for this library.
dag-factory Key Features
No Key Features are available at this moment for dag-factory.
dag-factory Examples and Code Snippets
No Code Snippets are available at this moment for dag-factory.
Community Discussions
Trending Discussions on dag-factory
QUESTION
MWAA requirements installation issue
Asked 2022-Mar-17 at 15:09
I am building an airflow pipeline for Ml training using PyTorch. Each of my steps is a python operator.
It's currently a very simply pipeline: setup >> preprocess >> train
This is my requirements file:
...ANSWER
Answered 2022-Mar-17 at 15:09I found the solution:
Increase the computer size for the MWAA hosting service.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install dag-factory
To install dag-factory run pip install dag-factory. It requires Python 3.6.0+ and Apache Airflow 1.10+.
Support
Contributions are welcome! Just submit a Pull Request or Github Issue.
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