Skip to main content

Why?

It is available everywhere if you install via pip, has cute aliases defined in a JSON file (.dj-config.json) per project, will run as many commands as you want, and defaults to Django management commands if an alias cannot be found.

Commands can be run sequentially by dj (e.g. dj makemigrations migrate). However, calling a long-running process (e.g. dj runserver) will prevent any other commands from being run. For example, dj runserver migrate will never run the migrate command because runserver will block the process.

Configuration file

Example .dj-config.toml

disable_django_management_command = false
python_interpreter = "python"
environment_file_path = ".env"

[[commands]]
name = "m"
help = "Does the migration dance"
execute = "./manage.py makemigrations && ./manage.py migrate"
requires_virtualenv = true

[[commands]]
name = "r"
help = "Runs all the servers"
execute = "./manage.py runserver"
requires_virtualenv = true
long_running = true

[[commands]]
name = "ls"
help = "Lists all the files, of course"
execute = "ls"

[[commands]]
name = "up"
help = "Up all the things"
execute = "pip3 install -r requirements/development.txt && ./manage.py migrate && ./manage.py runserver"
requires_virtualenv = true
long_running = true

[[commands]]
name = "restore_database"
help = "Restores a Postgres database from live to local"
execute = "PGPASSWORD=$PGPASSWORD pg_dump $DATABASE_NAME --host=$DATABASE_HOST --port=$DATABASE_PORT --username=$DATABASE_USERNAME --format=tar | pg_restore --clean --dbname=$DATABASE_NAME --no-owner --host=localhost --port=5432"

Config file location

If the --config argument is used to specify a particular file location, that is the only place dj looks for a configuration file.

Otherwise, dj will search for appropriate config files and "merge" them together. This allows you to have a base config file in ~/.dj-config.toml, but override it on a per-folder basis. dj prioritizes .toml config files over .json. So, it will look for ~/.dj-config.toml first and, if it's missing, then look for ~/.dj-config.json. Then, it will follow the same pattern for the current directory. The current directory's config file will take precedence if there is an overlap in configuration settings.

Using environment variables in commands

dj will look for a .env file to load environment variables using the wonderful python-dotenv library. You can specify environment variables in an execute command just like you would from the shell (i.e. $VARIABLE_NAME).

Basic arguments and options

  • dj --help to see all of the options
  • dj --list to see all of the available custom commands
  • dj {command_name} to run a custom command or Django management command (e.g. dj migrate)
  • dj {command_name} {command_name} {command_name} to run multiple commands (e.g. dj makemigrations migrate)
  • dj {command_name} --dry_run to show what commands would run without actually executing them

How to work on the source

  1. Clone the repo
  2. Run the source locally: poetry run python dj
  3. Test the source: poetry run pytest
  4. Build and install locally: poetry build && pip3 install --user --force-reinstall .
  5. Test with ~/.local/bin/dj migrate
  6. Publish the source to pypi: poetry publish --build --username USERNAME --password PASSWORD

Acknowledgements

  • poetry: please, please, please continue to help wrangle the complexity of 1) creating Python projects, and 2) installing dependencies; seriously, it's baffling out there without you
  • click: ridiculously full-featured library to help implement CLI programs in Python; it has all the bells and most of the whistles
  • attrs: would you like easy classes in Python? yes, please
  • delegator.py: subprocess is a pain, but delegator hides all the ugly cruft behind a nice API
  • python-dotenv: 12-factor all the things with .env files
  • toml: the fewer braces in my life the better

Prior art

This isn't a new idea and there are a few other implementations out there that do similar things. But, uh, I like mine. 😀

Metadata

Release files for dj-command 0.5.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for dj-command 0.5.2
File Size Uploaded Provenance
dj-command-0.5.2.tar.gz 8.3 kB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for dj-command 0.5.2
File Interpreter ABI Platform
dj_command-0.5.2-py3-none-any.whl Python 3 none any Details

Total release size: 17.8 kB

Release files / dj-command-0.5.2.tar.gz

Download URL dj-command-0.5.2.tar.gz
Size 8.3 kB
Tags Source
SHA-256 checksum
How to use checksums
a0decfef0eda1e33225ea741d9e393eb25d6a91bf15f4e163fc4b78083b6101f
BLAKE2b-256 checksum
How to use checksums
6770e1075c99372bbbcd4c7b5caba89738b18e600009a749bd34798f6070803d
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via poetry/0.12.17 CPython/3.6.6 Darwin/18.7.0

Release files / dj_command-0.5.2-py3-none-any.whl

Download URL dj_command-0.5.2-py3-none-any.whl
Size 9.5 kB
Tags Python 3
SHA-256 checksum
How to use checksums
057422877ba79269e815c0fdc79d1050c682d7562a6a41461546e01886300a8c
BLAKE2b-256 checksum
How to use checksums
795d20ce851269eeeaf7ec9e43c3d4a3838f414c7b23e2a89695d6d5abe6bcde
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via poetry/0.12.17 CPython/3.6.6 Darwin/18.7.0

Security for dj-command 0.5.2

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page