Metadata-Version: 1.1
Name: prometheus_roller
Version: 0.0.2
Summary: Library for aggregating metrics from the Prometheus monitoring system's python client library.
Home-page: https://github.com/turtlemonvh/prometheus_python_roller
Author: Timothy Van Heest
Author-email: timothy@ionic.com
License: MIT
Description: # Prometheus Roller
        [![Build Status](https://travis-ci.org/turtlemonvh/prometheus_python_roller.png?branch=master)](https://travis-ci.org/turtlemonvh/prometheus_python_roller)
        [![PyPI version](https://img.shields.io/pypi/v/prometheus_roller.svg)](https://pypi.python.org/pypi/prometheus_roller)
        [![Downloads](http://img.shields.io/pypi/dm/prometheus_roller.svg)](https://pypi.python.org/pypi/prometheus_roller)
        [![Python versions](https://img.shields.io/pypi/pyversions/prometheus_roller.svg)](https://pypi.python.org/pypi/prometheus_roller)
        [![License](https://img.shields.io/pypi/l/prometheus_roller.svg)](https://pypi.python.org/pypi/prometheus_roller)
        
        
        This is a small helper utility for creating time-boxed rollups for histogram and counter metrics created using the [prometheus python client](https://github.com/prometheus/client_python).
        
        Metrics like counters and histograms increase indefinitely, but you usually care about recent activity.  This library provides a way to turn a counter or histogram into a gauge or set of gauges that give instantaneous measures of the state of the application.
        
        This isn't very useful if you're using [the prometheus server](https://github.com/prometheus/prometheus) since it provides [functions to do that for you](https://prometheus.io/docs/querying/functions/), but if you are sending metrics to multiple places (e.g. [check_mk](https://mathias-kettner.de/checkmk_localchecks.html)) and you want to send those metrics in a form that make basic alerting and reporting easier, this may help.
        
        ## Usage
        
        ```python
        from prometheus_client import Histogram, Counter
        from prometheus_roller import HistogramRoller, CounterRoller, start_update_daemon
        
        # Create a histogram
        h = Histogram('test_value', 'Testing roller')
        
        # Create a counter
        c = Counter('test_counted_value', 'Testing roller')
        
        # Create a roller for the histogram, which calculates windowed values.
        # By default it will create a gauge with a label for each histogram bin.
        # The value of each gauge will be the change in value over the last 5 minutes, updated every 5 seconds.
        # See the `options` parameter for more configuration options.
        rh = HistogramRoller(h)
        
        # Create a roller for the counter, which calculates windowed values.
        # The value of each gauge will be the change in value over the last 5 minutes, updated every 5 seconds.
        # See the `options` parameter for more configuration options.
        rc = CounterRoller(c)
        
        # Launch a daemon thread tracking and updating all roller objects.
        # See the code for more options for configuring this update process.
        start_update_daemon()
        ```
        
        ## Installation
        
        ```bash
        # Install with pip
        pip install prometheus_roller
        
        # To install as editable to work on it
        pip install -e git+https://github.com/turtlemonvh/prometheus_python_roller.git#egg=prometheus_python_roller
        # OR
        git clone git@github.com:turtlemonvh/prometheus_python_roller.git prometheus-roller
        cd prometheus-roller
        python setup.py develop
        ```
        
        ## Running tests
        
        ```bash
        # Plain old python
        python -m unittest discover
        
        # If you have nose and coverage installed
        nosetests --with-cover
        ```
        
        ## TODO
        
        * Add IQR reducer
        
        
        
        
Keywords: prometheus monitoring client metrics
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: License :: OSI Approved :: MIT License
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Information Technology
Classifier: Intended Audience :: System Administrators
Classifier: Topic :: System :: Monitoring
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.6
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.2
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
