Metadata-Version: 2.0
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
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
Requires-Dist: prometheus-client

# Prometheus Roller
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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





