Command line interface for interacting with Tempo.


License
MIT
Install
pip install tempocli==0.2.5.dev4

Documentation

TempoCLI

Command line interface for interacting with Tempo.

PyPI version Python Versions Build Status License Docker Pulls

Introduction

Ease repetitive Tempo tasks by using templates to fill in recurring items without having to use web interface. Templates are yaml formatted files that are semi-flexible in allowing what can be created.

The author_account_id can be obtained by going to your profile in JIRA and copying the ID from the URL.

----
author_account_id: foo

issues:
  # Will use current date if one can't be determined.
  - issue: INT-8
    time_spent: 30m
    start_time: "9:30AM"

  # Can specify day of week easily.
  - issue: INT-10
    time_spent: 1h
    start_time: Monday at 9AM

  # Full on datetime with override.
  - issue: INT-11
    time_spent: 90s
    start_time: "2018-08-05 11:00:00"
    author_account_id: bar

  # Pass in extras that aren't exposed in DSL.
  # https://tempo-io.github.io/tempo-api-docs/#worklogs
  - issue: INT-11
    time_spent: 1h
    start_time: 8am
    extras:
      remainingEstimateSeconds: 300

Installation

$ pip install tempocli

Running

$ tempocli --config <config> create --template <template>

Configuration

By default, ~/.tempocli.yml is the path used for the configuration file but that can be changed with the --config option during invocation. The configuration file should look like this:

---
token: <token>

It is also possible to specify the token using the TEMPOCLI_TOKEN environment variable.

Docker

DockerHub

$ docker run \
    --rm \
    --tty \
    --interactive \
    --volume ~/.tempocli.yml:/home/tempocli/.tempocli.yml:ro \
    --volume /some/dir/with/templates:/templates:ro \
    awiddersheim/tempocli \
    create --template /templates/template.yml

Building Locally

$ docker build --tag tempocli --target prod .

Development

$ pip install --editable .
$ tempocli --help

Testing

# Install development packages (preferably in a virtualenv)
$ pip install --editable .[dev]

# Run tests
$ pytest

# Run tests for available Python interpreters
$ tox

# Linting
$ flake8

# Can also lint in tox as well
$ tox -e flake8