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Python wrapper for API for project management service at float.com

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Float API

A Python wrapper of the project management service at float.com.

There is an example of how to use the wrapper here: https://github.com/tobiasbp/float_api/blob/master/demo.py

The API is documented here: https://dev.float.com/api_reference.html

To install with pip: pip install float-api

Example of use

To use the API, you must pass the FLOAT_ACCESS_TOKEN to the FloatAPI object when instantiating it. You must also supply a string of your own choice to use as User-Agent as well as an email address where you can be contacted. Read the documentation here.

# Import the API
from float_api import FloatAPI

# Instantiate API object
api = FloatAPI(FLOAT_ACCESS_TOKEN, 'My user agent', '[email protected]')

# Get a list of all people
p = api.get_all_people()

Calls

These are the calls implemented in this wrapper. If the input to a function is DATA, it means a list of relevant arguments. See the Float documentation for details. get_all_* calls returns lists, delete_* returns True or False. Other calls return dictionaries. On error, the wrapper will return empty lists, False and empty dictionaries respectively.

Clients

  • get_all_clients()
  • create_client(data)
  • get_client(client_id)
  • update_client(data)
  • delete_client(client_id)

People

  • get_all_people()
  • get_people_reports(start_date, end_date, [people_id])
  • create_person(data)
  • get_person(people_id)
  • update_person(data)
  • delete_person(people_id)

Projects

  • get_all_projects()
  • get_project_reports(start_date, end_date, [project_id])
  • create_project(data)
  • get_project(project_id)
  • update_project(data)
  • delete_project(project_id)

Tasks

  • get_all_tasks([start_date],[end_date])
  • create_task(data)
  • get_task(task_id)
  • update_task(data)
  • delete_task(task_id)

Time off types

  • get_all_timeoff_types()
  • create_timeoff_type(data)
  • get_timeoff_type(timeoff_type_id)
  • update_timeoff_type(data)
  • delete_timeoff_type(timeoff_type_id)

Testing

Test the wrapper by running pytest in the repository's root directory.

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