tempo-api-python-client

Python bindings for Tempo Rest API.

This is a Tempo API client library to simplify the interaction with Tempo timesheets. The implementation supports Tempo API v3 and v4.

Pip release is available: https://pypi.org/project/tempo-api-python-client/

Tempo Rest API documentation can be found at https://apidocs.tempo.io/

Installation

Install current release by pip

pip install tempo-api-python-client

Getting Started

You need an API token for communicating with tempo REST APIs.

For v3 use

from tempoapiclient import client_v3

tempo = client_v3.Tempo(
    auth_token="<your_tempo_api_key>",
    )

worklogs = tempo.get_worklogs(
    dateFrom="2019-11-10",
    dateTo="2019-11-11"
    )

for i in worklogs:
    print(i)

For v4 use

from tempoapiclient import client_v4

tempo = client_v4.Tempo(
    auth_token="<your_tempo_api_key>",
    )

Retrieve Worklogs

worklogs = tempo.get_worklogs(
    dateFrom="2019-11-10",
    dateTo="2019-11-11"
    )

for i in worklogs:
    print(i)

There are also functions to retrieve user and team-specific worklogs.

Create Worklog

logged_worklog = tempo.create_worklog(
    accountId="<your_jira_account_id>",
    issueId=12345,
    dateFrom="2019-11-11",
    timeSpentSeconds=3600,
    description="Something",
    startTime="17:00:00"
    attributes=[{_WorkType_: "Development"}]
)

Update Worklog

logged_worklog = tempo.update_worklog(
    id="<id_of_the_worklog_to_be_updated>"  # required
    accountId="<your_jira_account_id>",     # required
    dateFrom="2019-11-11",                  # required
    timeSpentSeconds=3600,                  # required
    description="Something",                # optional
    startTime="17:00:00"                    # optional
)

Delete Worklog

delete_response = tempo.delete_worklog(<worklog_id>)

Code Format

• Flake8: flake8 --max-line-length=120 tempoapiclient/*

• Pylint: pylint --max-line-length=120 tempoapiclient

Contributing

Contribution is welcome. See CONTRIBUTING.md for more details.