simmetrica 1.0.2

Library for collecting, aggregating and visualizing event metrics as timeseries data

[](https://travis-ci.org/o/simmetrica)

#Simmetrica (simple-metric-aggregator)

Simmetrica is a lightweight framework for collecting and aggregating event metrics as timeseries data. It also comes with beautiful customizable dashboard for visualizing metrics with charts.


###Dependencies

* Python 2.6 or greater
* Redis Server

Most of the current Linux distributions (also Mac OS X) comes with Python installed default. Simmetrica also uses `redis` for storing data, you can install `redis-server` with your favorite package manager.

###Installing

git clone git://github.com/o/simmetrica.git
cd simmetrica
pip install -r requirements.txt

**You need to run `redis-server` before pushing events and querying stored data.**

###How to feed data

We will use `push` method for notifying our events, it has 3 parameters:

First parameter is `event`, which is canonical name of your input data. You'll use this name when querying data and configuring dashboard. Second is `increment`, this optional argument is useful for overriding event count for submitting multiple events in a single operation. Last parameter `now` is defaults to current Unix timestamp, lets you to specify when event occurs.

###How to query data

To aggreagate stored data, we will use `query` method, it has 4 parameters:

First one is `event`, as you guessed, we already used this value for feeding our data. `start` and `end` parameters take Unix timestamp for specifying interval of time-series. This parameters are mandatory. Last parameter `resolution` is used for defining the resolution / granularity of data. This is an optional parameter and it defaults to `5min` (five minutes). Possible values are `min`, `5min`, `15min`, `hour`, `day`, `week`, `month` and `year`.

###Using library

#####Feeding

>>> from simmetrica import Simmetrica
>>> simmetrica = Simmetrica()
>>> simmetrica.push('add-cart-action')
[1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L]

Overriding default parameters:

>>> simmetrica.push('nginx-connections-received-5min', increment=5, now=1364298120)

#####Querying

>>> start = simmetrica.get_current_timestamp() - 600
>>> end = simmetrica.get_current_timestamp()
>>> results = simmetrica.query('add-cart-action', start, end, 'min')
>>> for time, val in results:
... print time, val
...
1364297940 0
1364298000 0
1364298060 0
1364298120 0
1364298180 0
1364298240 0
1364298300 0
1364298360 0
1364298420 0
1364298480 1
1364298540 2

###Using command-line

#####Feeding

➜ python cli.py push add-cart-action
ok

Overriding default parameters:

➜ python cli.py push nginx-connections-received-5min --increment=5 --now=1364298120

#####Querying

➜ python cli.py query add-cart-action 1364297990 1364298608 --resolution=min
1364297940 0
1364298000 0
1364298060 0
1364298120 0
1364298180 0
1364298240 0
1364298300 0
1364298360 0
1364298420 0
1364298480 1
1364298540 2

Beautify with [spark](http://zachholman.com/spark/)

➜ python cli.py query add-cart-action 1364297990 1364298608 --resolution=min | awk '{print $2}' | spark
▁▁▁▁▁▁▁▁▁▄█

###Using REST

#####Feeding

After running `app.py`

➜ curl 127.0.0.1:5000/push/add-cart-action
ok

Overriding default parameters:

➜ curl 127.0.0.1:5000/push/nginx-connections-received-5min?increment=5&now=1364298120

#####Querying

➜ curl "127.0.0.1:5000/query/add-cart-action/1364297990/1364298608?resolution=min" | python -mjson.tool
{
"1364297940": 0,
"1364298000": 0,
"1364298060": 0,
"1364298120": 0,
"1364298180": 0,
"1364298240": 0,
"1364298300": 0,
"1364298360": 0,
"1364298420": 0,
"1364298480": "1",
"1364298540": "2"
}

###Overriding redis connection parameters

As default Simmetrica connects to Redis on `127.0.0.1:6379` with database `0`.

#####In library

>>> from simmetrica import Simmetrica
>>> simmetrica = Simmetrica(host='192.168.5.30', port=7000, db=16, password=qwerty)

#####In commandline and REST

`redis_host`, `redis_port`, `redis_db` and `redis_password` parameters can be passed as commandline arguments in `app.py` and `cli.py`.

➜ python cli.py ... --redis_host=192.168.5.30 --redis_port=7000 --redis_db=16 --redis_password=qwerty

###Dashboard

#####Running web application

➜ python app.py
* Running on http://127.0.0.1:5000/

Now, you can see your shiny dashboard with pointing your browser to `http://127.0.0.1:5000/`.

Optionally a custom config file can be specified with the `--config` flag.

➜ python app.py --config myConfig.yml

#####Configuring dashboard blocks

Dashboard is configured with `config.yml` file, this file has a yaml list called `graphs`. Graph widgets are rendered with lovely [rickshaw](https://github.com/shutterstock/rickshaw) (HTML5 + SVG and d3.js) library.

graphs:
- graph definition
- events
- graph definition
- events

##### Explanation of configuration parameters

Typical graph block looks like this:

- title: Title (mandatory)
timespan: [10 minute, 3 hour, 2 day, 6 week, 1 month or whatever]
colorscheme: [classic9, colorwheel, cool, munin, spectrum14, spectrum2000, spectrum2001]
type: [area, stack, bar, line, scatterplot]
interpolation: [linear, step-after, cardinal, basis]
resolution: [min, 5min, 15min, hour, day, week, month, year]
size: [S, M, L, XL]
offset: [zero, wiggle, expand, value]
events:
- name: event_name (mandatory)
title: Event Title

Here are the explanations:

**title**

Title of graph block.


Optional: No

**timespan**

How many timespan of data will shown in graph.


Possible values: `(NUMBER minute|hour|day|week|month|year)`

Optional: Yes

Default: `1 day`

**colorscheme**

Colorscheme of graph parts.


Possible values: `classic9`, `colorwheel`, `cool`, `munin`, `spectrum14`, `spectrum2000` and `spectrum2001`

Optional: Yes

Default: `colorwheel`

**type**

Type of graph.


Possible values: `area`, `stack`, `bar`, `line` and `scatterplot`

Optional: Yes

Default: `area`

**interpolation**

Line smoothing / interpolation method of graphs.


Possible values: `linear`, `step-after`, `cardinal` and `basis`

Optional: Yes

Default: `cardinal`

**resolution**

Resolution of values.


Possible values: `min`, `5min`, `15min`, `hour`, `day`, `week`, `month`, `year`

Optional: Yes

Default: `5min`

**size**

Size of graph.


Possible values: `S`, `M`, `L` and `XL`

Optional: Yes

Default: `M`

**offset**

Graph offset base.


Possible values: `zero`, `wiggle`, `expand` and `value`

Optional: Yes

Default: `value`

**events**

Every graph must have at least one graph definition for rendering. Events have 2 values called `name`, and `title`.

**name**

This is the name of event, must be given.

**title**

Title of event, this will be shown in legend and not a mandatory value.

###Contributing

I just created this project for learning some Python. Please help me to make it better!

###License
Copyright (c) 2013 Osman Ungur

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is furnished
to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
THE SOFTWARE.