Skip to main content

A PromQL lexer for Pygments

Project description

pygments-promql

Python package PyPI PyPI - License

A PromQL lexer for Pygments.

This Python package provides a Pygments lexer for the Prometheus Query Language. It allows Pygments and other tools (Sphinx, Chroma, etc) to highlight PromQL queries.

PromQL syntax highlighted

Installation

Using pip

To get the latest version from pypi.org:

pip install pygments-promql

Usage

Command-line

In a terminal you can echo and pipe a query directly from stdin:

echo 'prometheus_http_requests_total{code="200"}' | pygmentize -l promql

Or use a file, for example, create the example.promql file with queries from tests/example.promql. In this case the option -l promql is not needed because the lexer will be detected based on the file extension.

Showing colorized output in a terminal:

pygmentize example.promql

To generate a PNG file:

pygmentize -f png -O "line_numbers=False,style=monokai" -o example.png example.promql

Python code

The following example:

from pygments import highlight
from pygments.formatters import HtmlFormatter
from pygments_promql import PromQLLexer

query = 'http_requests_total{handler="/api/comments"}'
print(highlight(query, PromQLLexer(), HtmlFormatter()))

Will generate this HTML output:

<div class="highlight">
    <pre>
        <span></span>
	<span class="nv">http_requests_total</span>
	<span class="p">{</span>
	<span class="nl">handler</span>
	<span class="o">=</span>
	<span class="s">&quot;/api/comments&quot;</span>
	<span class="p">}</span>
	<span class="w"></span>
    </pre>
</div>

Use HtmlFormatter(noclasses=True) to include CSS inline styles on every <span> tag.

Sphinx

In order to highlight PromQL syntax in your Sphinx documentation site you just need to add this 3 lines of Python code at the end of your site's conf.py file:

from sphinx.highlighting import lexers
from pygments_promql import PromQLLexer
lexers['promql'] = PromQLLexer()

Then you will be able to use it like this:

Here's a PromQL example:

.. code-block:: promql

	# A metric with label filtering
	go_gc_duration_seconds{instance="localhost:9090"}

Testing

If you want to test, play or contribute to this repo:

git clone https://github.com/pabluk/pygments-promql.git
cd pygments-promql/
pip install -r requirements.txt
pip install -e .
pytest -v

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pygments-promql-0.0.7.tar.gz (4.3 kB view details)

Uploaded Source

Built Distribution

pygments_promql-0.0.7-py3-none-any.whl (5.3 kB view details)

Uploaded Python 3

File details

Details for the file pygments-promql-0.0.7.tar.gz.

File metadata

  • Download URL: pygments-promql-0.0.7.tar.gz
  • Upload date:
  • Size: 4.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.4

File hashes

Hashes for pygments-promql-0.0.7.tar.gz
Algorithm Hash digest
SHA256 bb859f3274221fb004a17cbf2af2ae49f8ac532af7602bae6b9d4811f8c3e774
MD5 5dcf4914042b0b2725b7bb48ddd6f6d6
BLAKE2b-256 81937d0104c35288268a670989000dee2e5d7111deb6cac3847ff4e7dbccc387

See more details on using hashes here.

File details

Details for the file pygments_promql-0.0.7-py3-none-any.whl.

File metadata

  • Download URL: pygments_promql-0.0.7-py3-none-any.whl
  • Upload date:
  • Size: 5.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.4

File hashes

Hashes for pygments_promql-0.0.7-py3-none-any.whl
Algorithm Hash digest
SHA256 fe9788fd36a98486b92cd24a7dcddf9d3a279c1df0b933f6aaf6b3759c0fb18b
MD5 b30a875a9f64a631ba77d8bd65e38afe
BLAKE2b-256 a1387d84f7e081acf80faee68225069ac1febd3a2a5a18e87fafac70ee30b224

See more details on using hashes here.

Supported by

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