gitlab-languages

Utility to generate a Prometheus data source text file for your GitLab instance using the GitLab Language API

installation from PyPI

Install from PyPI as CLI
```
pip install -U gitlab-languages
```

Run the program

gitlab-languages --cache cache.json --args owned=True # more info about usage: see below

installation from source

Install python dependencies
```
poetry install
```

Set the required environment variables

export GITLAB_TOKEN=<SOME_TOKEN_WITH_API_SCOPE>
export GITLAB_URL=https://gitlab.com # optional, defaults to https://gitlab.com
# optional:
export WORKER_COUNT=24

Run the tool
```
gitlab-languages
```

usage

usage: gitlab_languages [-h] [--project_limit PROJECT_LIMIT]
                        [--args ARGS [ARGS ...]]
                        [--groups GROUPS [GROUPS ...]]
                        [--ignore_groups IGNORE_GROUPS [IGNORE_GROUPS ...]]
                        [--cache CACHE] [-o OUTPUT]

optional arguments:
  -h, --help            show this help message and exit
  --project_limit PROJECT_LIMIT
                        Set project limit to scan
  --args ARGS [ARGS ...]
                        Provide custom args to the GitLab API
  --groups GROUPS [GROUPS ...]
                        Scan only certain groups
  --ignore_groups IGNORE_GROUPS [IGNORE_GROUPS ...]
                        Ignore certain groups and their projects
  --cache CACHE         Cache file to use
  -o OUTPUT, --output OUTPUT
                        Location of the metrics file output

additional arguments

You can specify additional arguments, that will be directly supplied to the python-gitlab library or to the GitLab API endpoint. Example:

gitlab-languages --args owned=True

More info about the available additional args can be found here:

example output

The output will look something like this:

metrics.txt

# HELP languages_percent Languages scanned in percent
# TYPE languages_percent gauge
languages_percent{language="Java"} 11.73
languages_percent{language="CSS"} 1.97
languages_percent{language="TypeScript"} 3.5
languages_percent{language="HTML"} 6.14
languages_percent{language="JavaScript"} 17.16
languages_percent{language="Python"} 10.4
languages_percent{language="Modelica"} 3.7
languages_percent{language="TeX"} 1.64
languages_percent{language="Shell"} 6.35
languages_percent{language="Batchfile"} 0.76
languages_percent{language="HCL"} 7.15
languages_percent{language="BitBake"} 0.56
languages_percent{language="C"} 5.25
languages_percent{language="C++"} 0.72
languages_percent{language="Matlab"} 2.77
languages_percent{language="TXL"} 0.05
languages_percent{language="Objective-C"} 1.48
languages_percent{language="XSLT"} 1.68
languages_percent{language="Perl"} 1.71
languages_percent{language="Ruby"} 0.03
languages_percent{language="C#"} 10.3
languages_percent{language="PowerShell"} 0.11
languages_percent{language="Pascal"} 0.01
languages_percent{language="ASP"} 0.0
languages_percent{language="PLpgSQL"} 0.0
languages_percent{language="Makefile"} 2.06
languages_percent{language="SQLPL"} 0.0
languages_percent{language="Puppet"} 0.0
languages_percent{language="Groovy"} 2.56
languages_percent{language="M4"} 0.01
languages_percent{language="Roff"} 0.15
languages_percent{language="CMake"} 0.01
languages_percent{language="NSIS"} 0.01
languages_percent{language="PHP"} 0.0
languages_percent{language="Go"} 0.0
languages_percent{language="Smalltalk"} 0.02
languages_percent{language="Visual Basic"} 0.0
languages_percent{language="Smarty"} 0.0
# HELP languages_scanned_total Total languages scanned
# TYPE languages_scanned_total gauge
languages_scanned_total 38.0
# HELP projects_scanned_total Total projects scanned
# TYPE projects_scanned_total gauge
projects_scanned_total 61.0
# HELP projects_skipped_total Total projects skipped
# TYPE projects_skipped_total gauge
projects_skipped_total 0.0
# HELP projects_no_language_total Projects without language detected
# TYPE projects_no_language_total gauge
projects_no_language_total 39.0
# HELP groups_scanned_total Total groups scanned
# TYPE groups_scanned_total gauge
groups_scanned_total 0.0

Run the script via GitLab CI with schedules and export the metrics.txt file as GitLab pages. Then you can add it to your Prometheus instance as scrape source.

max-wittig / gitlab-languages Goto Github PK