Skip to main content

A wrapper around the Timecamp API.

Project description

A python interface to the TimeCamp API.

Currently supports interface to:

  • Users

  • Tasks

  • Entries

  • Activities

External dependencies

Only tested on Python 3.4 at present

requests (like almost any python library involving http)

dateutil (to deal with filtering by dates)

Installing

python setup.py install

API Summary

TimeCamp:

  • users

  • user_by_id(id)

  • user_by_name(name)

  • tasks(embed_users=False) - embedded users on lots of tasks is currently very expensive due to lack of caching

  • task_by_id(task_id, embed_users=False)

  • add_task(task_data)

  • update_task(task_data)

  • entries(from_date=None, to_date=None, task_ids=None, user_ids=None, embed_user=False,with_subtasks=False) - no “to_date” or “from_date” dates assumes all time to now

  • add_entry(entry_data)

  • update_entry(entry_data)

  • activities_by_day(date=TODAY, user_id=None)

  • applications(application_ids=None)

  • window_titles(window_title_ids=None)

Methods return TCItem object (or lists or generators) where the top level keys are mapped to object attributes.

Example Usage

from pytimecamp import Timecamp

tc = Timecamp("s0met0k3nap1k3ystr1ng")
for u in tc.users:
    print(u)
    # <User 444444>
    # login_time: 2015-06-01 08:27:14
    # email: nospamthanks@agil3tek.co.mk
    # display_name: Steven Rossiter
    # user_id: 444444
    # synch_time: 2015-06-04 15:08:37
    # login_count: 98


# Get my entries since 23rd May
me = list(tc.users)[0] # Timecamp.users is a generator

# You pass dates as strings written like a normal person! (almost any date format
# will work - dateutil rocks - but try not confuse it with DDMMYY vs. MMDDYY)
for entry in tc.entries(from_date="23rd May 2015", user_ids=[me.user_id]):
    print(entry)
    # <Entry 44444444>
    # duration: 1374
    # user_name: Steven Rossiter
    # locked: 0
    # start_time: 10:09:13
    # billable: 0
    # description:
    # name: CRM, Sales & Marketing
    # id: 44444444
    # last_modify: 2015-05-26 11:38:24
    # end_time: 10:32:11
    # user_id: 444444
    # task_id: 4444444
    # invoiceId: 0
    # date: 2015-05-26

# get the task with ID 4444444 with the users embedded
task = tc.task_by_id(4444444,True)
print(task)
# <Task 4444444>
# tags: CRM, Sales, Marketing, INT002
# user_access_type: 3
# archived: 0
# users: [
# <User 444445>
# display_name: Hugh Martindale
# email: nospamthanks@agiletek.co.mk
# synch_time: 2015-06-03 21:04:14
# login_time: 2015-06-02 14:23:02
# user_id: 49192
# login_count: 26,
# <User 444444>
# display_name: Steven Rossiter
# email: nospamthanks@agiletek.co.mk
# synch_time: 2015-06-04 15:13:42
# login_time: 2015-06-01 08:27:14
# user_id: 49191
# login_count: 98,
# <User 444446>
# display_name: Truan Willis
# email: nospamthanks@agiletek.co.mk
# synch_time: 2015-06-04 15:17:58
# login_time: 2015-06-03 11:32:22
# user_id: 444446
# login_count: 81,
# <User 444447>
# display_name: Richard Langdon
# email: richard@agiletek.co.uk
# synch_time: 2015-06-04 15:14:36
# login_time: 2015-06-03 20:01:52
# user_id: 444447
# login_count: 103]
# external_parent_id: None
# name: CRM, Sales & Marketing
# billable: 0
# parent_id: 3333333
# task_id: 4444444
# perms: {'5': 3, '6': 3, '7': 3, '1': 3, '3': 3, '2': 3}
# color: #34C644
# root_group_id: 27055
# level: 2
# budgeted: 0

Licence

MIT (c) 2016 AgileTek Engineering Limited

TODO

  1. Unit tests!

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

pytimecamp-0.1.5.tar.gz (5.2 kB view hashes)

Uploaded Source

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