Metadata-Version: 1.1
Name: metrique
Version: 0.1.3-alpha33
Summary: Python/MongoDB Information Platform - Client
Home-page: https://github.com/drpoovilleorg/metrique
Author: Chris Ward
Author-email: cward@redhat.com
License: GPLv3
Download-URL: https://github.com/drpoovilleorg/metrique/archive/master.zip
Description: .. image:: 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
        
        .. note::
             Make sure you have gcc and python-devel libraries installed
        
        .. note::
             If you see 'Connection reset by peer' error, try option: --use-mirrors
        
        .. note::
             If you see any other error, Google.
        
        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.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>
        
Keywords: data,mining,information,mongo,etl,analysis,search,query
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 2.6
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 2 :: Only
Classifier: Topic :: Database
Classifier: Topic :: Office/Business
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Visualization
Classifier: Topic :: Utilities
Requires: bson (>=0.3.3)
Requires: celery (>=3.0)
Requires: decorator (>=3.4)
Requires: gittle (>=0.2.1)
Requires: futures (>=2.1)
Requires: jsonconf (>=0.1.3)
Requires: MySQL_python (>=1.2.4)
Requires: pandas (>=0.12)
Requires: pql (>=0.3.2)
Requires: psycopg2 (>=2.5)
Requires: python_dateutil (>=2.1)
Requires: pytz
Requires: requests (>=1.2)
Requires: simplejson (>=3.3)
Requires: tornado (>=3.0)
Provides: metrique
