grafilter 0.2.1

Helps you explore and graph all your metrics as a supplement to dashboard solutions like Grafana

grafilter
=========

Dashboards like [Grafana](http://grafana.org) are awesome, but sometimes they make it hard to look at all the metrics, without first spending time to configure a dashboard. Grafilter is meant to provide lightweight and easy access to your metrics. You can still customize visuals of course, but in a way that let's you store these customizations in a versioned config management system such as [Ansible](http://www.ansible.com), [BundleWrap](http://bundlewrap.org) or [Chef](https://www.chef.io/chef/) as opposed to a database like Grafana 2 does.

Grafilter supports InfluxDB 0.9.0 and onwards.

         

Install
-------

```
apt-get install python3-pip
pip3 install grafilter
```

Configure
---------

Create a file with these contents anywhere:

```python
CACHE_TIMEOUT = 300
CONFIG_DIR = "/var/lib/grafilter"
DEBUG = False
IGNORED_TAGS = ["_id"]
INFLUXDB_DB = "metrics"
INFLUXDB_URL = "http://user:[e-mail]:8086"
```

Note that `INFLUXDB_URL` points to the HTTP API port of InfluxDB.

Run
---

```sh
GRAFILTER_SETTINGS=/path/to/grafilter.cfg grafilter
```

Customize
---------

You can customize the appearance of your individual metrics by placing files in the `metrics` subdirectory of your `CONFIG_DIR`. These files must have a `.json` extension and look like this:

```json
{
"pattern": "\\.load$",
"transform": "lambda x: math.floor(x)",
"type": "area"
}
```

Note that `pattern` is a regular expression that has to match the name of the metrics you want to customize. Each metric will only be styled according to the first file with a matching `pattern`. All other options listed here are optional.

Option | Explanation
-------|------------
`max` | force highest value on y axis (int or float)
`min` | force lowest value on y axis (int or float)
`short_name` | a cosmetic name for this metric, e.g. "Load Average"
`transform` | a Python expression describing a function that takes a numeric value and returns another. It can be used to perform conversions and other math on your metrics. You have access to the [math module from the Python standard library](https://docs.python.org/3/library/math.html).
`type` | chart type: `area`, `area-spline`, `area-step`, `line`, `spline` or `step` (defaults to `line`)
`unit_format` | a [d3 format specifier](https://github.com/mbostock/d3/wiki/Formatting#d3_format) for your y axis (e.g. "s" to turn "1000" into "1K" and "1000000" into "1M")
`unit` | any string you want to be displayed next to your y axis