Skip to main content

Assist in setting up and maintaining developer environments

Project description

Daktari is a tool to help the initial setup and ongoing maintenance of developer environments. It runs a series of checks (for example, that required software is installed) and provides suggestions on how to fix the issue if the check fails.

Configuration

In the root of the project repository, create a .daktari.py configuration file listing the checks you want run. For example,

from daktari.checks.git import *

version = "0.0.94"
title = "My Project"

checks = [
    GitInstalled(),
    GitLfsInstalled(),
    GitLfsSetUpForUser(),
    GitLfsFilesDownloaded(),
    GitCryptInstalled(),
]

Then run daktari to diagnose your environment:

$ daktari
✅ [git.installed] Git is installed
✅ [git.lfs.installed] Git LFS is installed
✅ [git.lfs.setUpForUser] Git LFS is set up for the current user
✅ [git.lfs.filesDownloaded] Git LFS files have been downloaded
❌ [git.crypt.installed] git-crypt is not installed
┌─💡 Suggestion ─────────┐
│ brew install git-crypt │
└────────────────────────┘

Custom Check

You can write a custom check as a Python class within .daktari.py, and include it in your list of checks. Example of a check implementation:

class GitCryptInstalled(Check):
    name = "git.crypt.installed"
    depends_on = [GitInstalled]

    suggestions = {
        OS.OS_X: "<cmd>brew install git-crypt</cmd>",
        OS.UBUNTU: "<cmd>sudo apt install git-crypt</cmd>",
        OS.GENERIC: "Install git-crypt (https://www.agwa.name/projects/git-crypt/)",
    }

    def check(self):
        return self.verify(can_run_command("git crypt version"), "git-crypt is <not/> installed")

Testing Daktari changes locally

Having cloned the repo into ~/daktari, you can make use of PYTHONPATH to run daktari using your local changes.

To do this, navigate into a directory that has a .daktari.py (e.g. another repository intending to use your change) and run:

PYTHONPATH=~/daktari python3 -m daktari --debug

Release instructions

Daktari is continuously deployed via a github action - see release.yaml. In case of a need to manually release, the steps are:

bumpversion --verbose patch
python setup.py sdist bdist_wheel
twine check dist/*
twine upload dist/*

Project details


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

daktari-0.0.94.tar.gz (28.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

daktari-0.0.94-py3-none-any.whl (42.4 kB view details)

Uploaded Python 3

File details

Details for the file daktari-0.0.94.tar.gz.

File metadata

  • Download URL: daktari-0.0.94.tar.gz
  • Upload date:
  • Size: 28.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.11.3

File hashes

Hashes for daktari-0.0.94.tar.gz
Algorithm Hash digest
SHA256 316432f2bf287737e1ca3acc21baca03f532feaa3548fa10b8a39018106d4b35
MD5 cf0a6c9c621298a1b5338f42ec470dcc
BLAKE2b-256 f88c0f5b8c9b5a3dc3b2e2f7cfe602e6126653dc33f490b0f171a906308eb1bb

See more details on using hashes here.

File details

Details for the file daktari-0.0.94-py3-none-any.whl.

File metadata

  • Download URL: daktari-0.0.94-py3-none-any.whl
  • Upload date:
  • Size: 42.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.11.3

File hashes

Hashes for daktari-0.0.94-py3-none-any.whl
Algorithm Hash digest
SHA256 5b250e8ab7920f46abe3cb8c5bd4afb9ae97ad2e19906650f37cf6bf0fc6e092
MD5 fe9e56e02c7389aaab4fc5a73c6fa36e
BLAKE2b-256 018c03ed724fd3ba46a64b9d249d925be29d966d872330571e9236e4a13f0c87

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page