bamboo

bamboo is an application that systematizes realtime data analysis. bamboo provides an interface for merging, aggregating and adding algebraic calculations to dynamic datasets. Clients can interact with bamboo through a a REST web interface and through Python.

bamboo supports a simple querying language to build calculations (e.g. student teacher ratio) and aggregations (e.g. average number of students per district) from datasets. These are updated as new data is received.

bamboo is open source software released under the 3-clause BSD license, which is also known as the "Modified BSD License".

Dependencies

• python (tested on version 2.7)
• mongodb

for numpy, pandas, and scipy (in requirements.pip):

on Arch Linux: # pacman -S blas lapack gcc-fortran

on Debian based: # apt-get install gfortran libatlas-base-dev

Using as a Python Libary

Installation

$ pip install bamboo-data

Usage

import bamboo as bm
from bamboo.lib.io import create_dataset_from_url

bf = bm.BambooFrame([{'date': '2012-12-21'}])
bff = bf.recognize_dates()
bff.to_json()

>>> '[{"date": {"$date": 1356048000000}}]'

# Turn asyncronous processing off
bm.set_async(False)

url = 'http://formhub.org/mberg/forms/good_eats/data.csv'
dataset = create_dataset_from_url(url)
dataset.schema

>>> {u'_gps_altitude': {u'cardinality': 14, u'label': u'_gps_altitude', ...

Installation

$ ./scripts/install.sh

Running the server

Running the server in the foreground

start mongodb on localhost and standard port

$ python ./scripts/run_server.py

Running the server as a daemon

start mongodb on localhost and standard port

1. create a user named 'bamboo', with home directory /home/bamboo
2. create a virtualenv using virtualenvwrapper called 'bamboo'
3. place the bamboo root directory in /var/www/bamboo/current

start the daemon using:

$ /var/www/bamboo/current/scripts/bamboo.sh start

stop the daemon using:

$ /var/www/bamboo/current/scripts/bamboo.sh stop

Example Usage

On the remote server

running the example basic commands

$ ./scripts/commands.sh

using bamboo.JS

var dataset = new bamboo.Dataset({url: 'http://bitly.com/ZfzBwP'});
bamboo.dataset_exists('nonexistentdataset_id');
dataset.query_info();
...

using pybamboo

from pybamboo import PyBamboo
pybamboo = PyBamboo()
response = pybamboo.store_csv_file('http://formhub.org/mberg/forms/good_eats/data.csv')
dataset_id = response['id']
...

posting a dataset

$ curl -X POST -d "url=http://formhub.org/mberg/forms/good_eats/data.csv" http://bamboo.io/datasets

On your local server

start the bamboo server as above, then

run the example basic commands

$ ./scripts/commands.sh -l

make requests to your local server

$ curl -X POST -d "url=http://formhub.org/mberg/forms/good_eats/data.csv" http://localhost:8080/datasets

Testing

install nose testing requirements

$ pip install -r requirements-test.pip

run tests

$ cd bamboo
$ ../scripts/test.sh

or run the profiler

$ cd bamboo
$ ../scripts/test.sh -p

Documentation

Viewing Documentation

The latest docs are available at http://bamboo.io/

Building Documentation

Install graphviz for class structure diagrams:

on Arch Linux: # pacman -S graphviz

on Debian based: # apt-get install graphviz

$ pip install -r requirements-docs.pip
$ cd docs
$ make html

Contributing Code

To work on the code:

1. fork this github project
2. add tests for your new feature
3. add the code for your new feature
4. ensure it is pep8

$ pip install pep8
$ pep8 bamboo

5. ensure all existing tests and your new tests are passing

$ cd bamboo
$ ../scripts/test.sh

6. submit a pull request

About

Join the bamboo-dev mailing list.

bamboo is an open source project. The project features, in chronological order, the combined efforts of

• Peter Lubell-Doughtie
• Mark Johnston

and other developers.

Projects using bamboo

• formhub - Mobile Data Collection made easy
• AFSIS - Africa Soil Information Service

Is your project using bamboo? Let us know!