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Apache Airflow code editor and file manager

Project description

Airflow Code Editor Plugin

A plugin for Apache Airflow that allows you to edit DAGs in browser. It provides a file managing interface within specified directories and it can be used to edit, upload, and download your files. If git support is enabled, the DAGs are stored in a Git repository. You may use it to view Git history, review local changes and commit.

Build Status PyPI version PyPI Downloads Code style: black

System Requirements

  • Airflow Versions
    • 1.10.3 or newer
  • git Versions (git is not required if git support is disabled)
    • 2.0 or newer

Screenshots

File manager

Code editor

Git tags

Git workspace

Install Instructions

  1. Install the plugin
  pip install airflow-code-editor
  1. Install optional dependencies
  1. Restart the Airflow Web Server

  2. Open Admin - DAGs Code Editor

Config Options

You can set options editing the Airflow's configuration file or setting environment variables. You can edit your airflow.cfg adding any of the following settings in the [code_editor] section. All the settings are optional.

  • enabled enable this plugin (default: True).
  • git_enabled enable git support (default: True). If git is not installed, disable this option.
  • git_cmd git command (path)
  • git_default_args git arguments added to each call (default: -c color.ui=true)
  • git_author_name human-readable name in the author/committer (default logged user first and last names)
  • git_author_email email for the author/committer (default: logged user email)
  • git_init_repo initialize a git repo in DAGs folder (default: True)
  • root_directory root folder (default: Airflow DAGs folder)
  • line_length Python code formatter - max line length (default: 88)
  • string_normalization Python code formatter - if true normalize string quotes and prefixes (default: False)
  • mount, mount1, ... configure additional folder (mount point) - format: name=xxx,path=yyy
   [code_editor]
   enabled = True
   git_enabled = True
   git_cmd = /usr/bin/git
   git_default_args = -c color.ui=true
   git_init_repo = False
   root_directory = /home/airflow/dags
   line_length = 88
   string_normalization = False
   mount = name=data,path=/home/airflow/data
   mount1 = name=logs,path=/home/airflow/logs
   mount2 = name=data,path=s3://example

Mount Options:

Example:

You can also set options with the following environment variables:

  • AIRFLOW__CODE_EDITOR__ENABLED
  • AIRFLOW__CODE_EDITOR__GIT_ENABLED
  • AIRFLOW__CODE_EDITOR__GIT_CMD
  • AIRFLOW__CODE_EDITOR__GIT_DEFAULT_ARGS
  • AIRFLOW__CODE_EDITOR__GIT_AUTHOR_NAME
  • AIRFLOW__CODE_EDITOR__GIT_AUTHOR_EMAIL
  • AIRFLOW__CODE_EDITOR__GIT_INIT_REPO
  • AIRFLOW__CODE_EDITOR__ROOT_DIRECTORY
  • AIRFLOW__CODE_EDITOR__LINE_LENGTH
  • AIRFLOW__CODE_EDITOR__STRING_NORMALIZATION
  • AIRFLOW__CODE_EDITOR__MOUNT, AIRFLOW__CODE_EDITOR__MOUNT1, AIRFLOW__CODE_EDITOR__MOUNT2, ...

Example:

   export AIRFLOW__CODE_EDITOR__STRING_NORMALIZATION=True
   export AIRFLOW__CODE_EDITOR__MOUNT='name=data,path=/home/airflow/data'
   export AIRFLOW__CODE_EDITOR__MOUNT1='name=logs,path=/home/airflow/logs'
   export AIRFLOW__CODE_EDITOR__MOUNT2='name=tmp,path=/tmp'

Development Instructions

  1. Fork the repo

  2. Clone it on the local machine

  git clone https://github.com/andreax79/airflow-code-editor.git
  cd airflow-code-editor
  1. Create and activate virtualenv
  source ./scripts/activate.sh
  1. Make changes you need. Build npm package with:
  make npm-build
  1. You can start Airflow webserver or scheduler with these commands:
  make webserver
  make scheduler
  1. Run tests
  make test
  1. Commit and push changes
  git add .
  git commit
  git push
  1. Create pull request to the original repo

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