prometheus_flask_exporter | Prometheus exporter for Flask applications | Dashboard library

by rycus86 Python Version: 0.22.4 License: MIT

X-Ray Key Features Code Snippets(1)Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | prometheus_flask_exporter Summary

prometheus_flask_exporter is a Python library typically used in Analytics, Dashboard, Docker, Prometheus, Grafana applications. prometheus_flask_exporter has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install prometheus_flask_exporter' or download it from GitHub, PyPI.

Prometheus exporter for Flask applications

Support

Quality

Security

License

Reuse

Support

prometheus_flask_exporter has a low active ecosystem.

It has 567 star(s) with 159 fork(s). There are 9 watchers for this library.

It had no major release in the last 6 months.

There are 26 open issues and 100 have been closed. On average issues are closed in 47 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of prometheus_flask_exporter is 0.22.4

Quality

prometheus_flask_exporter has 0 bugs and 0 code smells.

Security

prometheus_flask_exporter has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

prometheus_flask_exporter code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

prometheus_flask_exporter is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

prometheus_flask_exporter releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

prometheus_flask_exporter saves you 1068 person hours of effort in developing the same functionality from scratch.

It has 2668 lines of code, 262 functions and 40 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed prometheus_flask_exporter and discovered the below as its top functions. This is intended to give you an instant insight into prometheus_flask_exporter implemented functionality, and help decide if they suit your requirements.

Create Flask application
Register metric decorators
Setup API endpoint
Track a counter
Decorator to track a metric
Return a combined label for each response
Register metrics endpoint
Decorator for methods that will track the request
Generate metrics
Start an HTTP server
Main loop
Run the function in parallel
Defines a metric thread
Start Prometheus metrics
Check if env var is set
Start the HTTP server
Check if we should start HTTP server
Create a new gauge
Main thread

Get all kandi verified functions for this library.

prometheus_flask_exporter Key Features

No Key Features are available at this moment for prometheus_flask_exporter.

prometheus_flask_exporter Examples and Code Snippets

Prometheus Flask exporter with __main__

Python

Lines of Code : 2

License : Strong Copyleft (CC BY-SA 4.0)

Copy

export DEBUG_METRICS=false

Community Discussions

Trending Discussions on prometheus_flask_exporter

How to update metrics regularly using prometheus-flask-exporter?

QUESTION

How to update metrics regularly using prometheus-flask-exporter?

Asked 2022-Feb-07 at 16:31

I'm creating a simple Flask webapp which should generate a random metric to be pulled by Prometheus. I'm using the prometheus-flask-exporter library which enabled me to set a metric.

Put simply, I want to know how can I configure custom metrics internally within flask so that they update at intervals from the '/metrics' endpoint of the flask app.

Not 'how often can I get prometheus to fetch a particular metric'

Currently I can't get a loop working within my flask app as the main class doesn't run if I have one.

This is just for a proof of concept, the custom metric can be anything.

My app.py:

...

ANSWER

Answered 2022-Feb-04 at 18:15

I am not sure you understood how Prometheus works. By default Prometheus fetches the metrics from the target(s) every 15 seconds, but you can set a different interval. So it will call your endpoint every 15 seconds to retrieve the metrics, unless you decide otherwise. Your endpoint is purely passive and responds to incoming connections as they happen.

If what you want is to collect metrics every 5 seconds, then you have to edit your YAML configuration file on the Prometheus machine. The Flask app does not need changing.

Source https://stackoverflow.com/questions/70989754

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install prometheus_flask_exporter

You can install using 'pip install prometheus_flask_exporter' or download it from GitHub, PyPI.
You can use prometheus_flask_exporter like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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