Skip to main content

Python/MongoDB Information Platform - Client

Project description

metrique/server/static/img/metrique_logo.png

Metrique

Python/MongoDB Information Platform and Data Warehouse

Metrique help bring data into an intuitive, indexable data object collection that supports quick snapshotting, advanced ad-hoc querying, including (mongodb) aggregations and mapreduce, along with python, ipython, pandas, numpy, matplotlib, and so on, is fully integrated with the scientific python computing stack. I hope so anyway. :)

Author: “Chris Ward” <cward@redhat.com>

Sources: https://github.com/drpoovilleorg/metrique

Installation

You must first install MongoDB. Then, to continue, make sure it’s started.

Metrique (suggested) Install virtualenv and create a new virtual environment for metrique. Activate it.

Install metrique:

python-pip install metrique -r requirements.txt

You should now be ready to go.

Run metrique-server-config.py if you changed any defaults.

To start metrique, run:

$[/metrique/server/bin] metrique-server start [2|1|0] [1|0]

Where argv are debug on+/on/off and async on/off respectively.

It’s suggested to run :mod:metrique-server-setup after install as well, especially if you changed any default values of your mongo or metrique servers, they’re hosted on a different ip than localhost.

Client If the metrique server is running on anything other than http://127.0.0.1, run metrique-client-setup.

Then, launch a python shell. We suggest ipython notebook.

As of this time, :mod:cubes can be found in global metrique namespace or local to the running user.

Default: ~/.metrique/cubes

To quickly make those cubes available in sys.path:

IN  [] from metrique.client.cubes import set_cube_path
IN  [] set_cube_path()  # defaults to '~/.metrique/cubes'

Then, to load a cube for extraction, query or administration, import:

IN  [] from git_repo.gitrepo import Commit
IN  [] g = Commit(config_file=None, uri=None)

Ping the server to ensure your connected. If all is well, metriqe server should pong your ping!:

IN  [] g.ping()
OUT [] pong!

Try running an example ::mod:git_commit etl job, for example:

IN  [4] g.extract("git_commit")

Then, analyse away:

IN  [5] q = c.query.fetch('git_commit', 'author, committer_ts')
IN  [6] q.groupby(['author']).size().plot(kind='barh')
OUT [6] <matplotlib.axes.AxesSubplot at 0x6f77ad0>

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

metrique-client-0.1.3-alpha8.tar.gz (19.4 kB view details)

Uploaded Source

File details

Details for the file metrique-client-0.1.3-alpha8.tar.gz.

File metadata

File hashes

Hashes for metrique-client-0.1.3-alpha8.tar.gz
Algorithm Hash digest
SHA256 6e4e5fafde84510368aabb39efb4277522b8f8460578942bf9ddd645dc44e294
MD5 79ee7ccbbfab1d4a06fc2130da0174cc
BLAKE2b-256 1bfac905cc863b5f3b1295b1e41ff97377f2a53c47856b8e7abca6fa092a2ef2

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page