A Python wrapper for the Bamboo HR API
Project description
PyBambooHR
This is an unofficial Python API for Bamboo HR. So far it is focusing on managing employee information but the plans are to have 100% API coverage eventually.
The library makes use of the requests library for Python and HTTPretty for testing. A huge thank you to both of those excellent projects.
Using this library is very simple:
from PyBambooHR import PyBambooHR
bamboo = PyBambooHR(subdomain='yoursub', api_key='yourapikeyhere')
employees = bamboo.get_employee_directory()
(Note that you have to enable sharing employee directory to use that method.)
This will give you a list of employees with properties on each including their ID.
from PyBambooHR import PyBambooHR
bamboo = PyBambooHR(subdomain='yoursub', api_key='yourapikeyhere')
# Jim's employee ID is 123 and we are not specifying fields so this will get all of them.
jim = bamboo.get_employee(123)
# Pam's employee ID is 222 and we are specifying fields so this will get only the ones we request.
pam = bamboo.get_employee(222, ['city', 'workPhone', 'workEmail'])
Adding an employee
from PyBambooHR import PyBambooHR
bamboo = PyBambooHR(subdomain='yoursub', api_key='yourapikeyhere')
# The firstName and lastName keys are required...
employee = {'firstName': 'Test', 'lastName': 'Person'}
result = bamboo.add_employee(employee)
The result dict will contain id and location. "id" is the numerical BambooHR employee ID. Location is a link to that employee.
Updating an employee
from PyBambooHR import PyBambooHR
bamboo = PyBambooHR(subdomain='yoursub', api_key='yourapikeyhere')
# His name was test person...
employee = {'firstName': 'Another', 'lastName': 'Namenow'}
# Use the ID and then the dict with the new information
result = bamboo.update_employee(333, employee)
result will be True or False depending on if it succeeded.
Requesting a Report
from PyBambooHR import PyBambooHR
bamboo = PyBambooHR(subdomain='yoursub', api_key='yourapikeyhere')
# Use the ID to request json information
result = bamboo.request_company_report(1, format='json', filter_duplicates=True)
# Now do stuff with your results (Will vary by report.)
for employee in result['employees']:
print(employee)
# Use the ID and save a pdf:
result = bamboo.request_company_report(1, format='pdf', output_file='/tmp/report.pdf', filter_duplicates=True)
CHANGES
Version 0.4.2 - 03 October 2014
Added row_id to row dictionary to keep track of them in case we need them.
Version 0.3.6 - 03 October 2014
Improvements by Ng Zhi An
Version 0.3.1 - 24 February 2014
Raise errors on non-200 statuses
Version 0.3.0 - 23 February 2014
Company Reports
Custom Reports
Version 0.2.0 - 05 October 2013
Underscore key support
Better test coverage
Version 0.1.0 - 02 October 2013
Pre-Alpha version
Uses Bamboo HR API to get employee info.
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