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A job tracker management module

Project description

mps-job-tracker

Introduction

A job tracker service for Media Preservation Services that provides standard methods to create and manage job tracker files in the Asset Ingest message queue.

Technology Stack

Language

Python

Development Operations

Docker Compose

Configuration

This package reads configuration values from environment variables.

Jobs directory

When importing this package in another project

The package writes job tracker files to a directory specified in the environment variable JOB_DATA_BASEDIR. When importing this package into another project, set this environment variable to the path of the jobs directory.

When using this project

In this project, the job tracker directory is set in the environment variables configuration file .env. The job tracker directory should be set to the jobs directory inside the container.

JOB_DATA_BASEDIR=/home/appuser/jobs/

The docker-compose file in this project mounts the jobs directory from inside the container to a local directory on the host filesystem. In this configuration, the jobs will be written to /home/appuser/jobs inside the container and that directory is mounted to the ./jobs directory on the host filesystem.

    volumes:
      # App
      - './:/home/appuser'
      # Jobs
      - './jobs:/home/appuser/jobs'

Installation

$ pip install -i https://test.pypi.org/simple/ --extra-index-url https://pypi.org/simple/ lts-mpsjobtracker==0.0.3
$ python
>>> import mpsjobtracker.trackers.jobtracker as jobtracker
>>> jt = jobtracker.JobTracker()
>>> jt.init_tracker_file('create_asset')
{'job_ticket_id': '39aa64a5-7451-45fc-b5bd-68d1bf02b31e-43e85fab1540', 'job_name': 'create_asset', 'job_management': {'current_step': 1, 'steps': {'1': 'generate_mock_manifest', '2': 'retrieve_image_from_origin', '3': 'check_jp2_compliance', '4': 'create_thumbnails', '5': 'save_to_storage', '6': 'save_data'}, 'job_status': '', 'previous_step_status': ''}, 'context': {}, 'creation_date': '2020-11-10 22:24:00', 'last_modified_date': '2020-11-10 22:24:00'}

Local Development Environment Setup Instructions

1: Clone the repository to a local directory

git clone git@github.huit.harvard.edu:LTS/mps-job-tracker.git

2: Create app config

Create config file for environment variables
  • Make a copy of the config example file ./env-example.txt
  • Rename the file to .env
  • Replace placeholder values as necessary

Note: The config file .env is specifically excluded in .gitignore and .dockerignore, since it contains credentials it should NOT ever be committed to any repository.

3: Start

START

This command builds the docker image runs the container specified in the docker-compose.yml configuration.

docker-compose up --build --force-recreate

4: Open a shell in the container

Run docker exec to execute a shell in the container by name

Open a shell using the exec command to access the mps-job-tracker container.

docker exec -it mps-job-tracker bash

5: Install dependencies

This step is only required if additional python dependencies must be installed. Update the requirements.txt inside the container to install new python packages in the project. If the dependencies are required for the package to run, they also must be included in the install_requires section of setup.py.

Install a new pip package

Once inside the mps-job-tracker container, run the pip install command to install a new package and update the requirements text file.

pip install packagename && pip freeze > requirements.txt
Add dependencies to setup

Add the names of the dependencies to the install_requires section of setup.py. Read more about adding dependencies in this article Specifying dependencies.

6: Build and publish the package

Step 6A: Prepare the distribution

  • Update the version number in setup.py
  • Remove the old dist/ directory from the previous build if necessary

Step 6B: Build the distribution

Once inside the container, build the distribution.

python3 setup.py sdist bdist_wheel

A new directory dist will be created in the container.

Step 6C: Register for an account

Register for an account on the test python package repository. Enable two-factor authentication for logins. Create a token.

Step 6D: Upload package to the test repository

Publish the package to the test repository testpypi before publishing it to the production repository.

python3 -m twine upload --repository testpypi dist/*

Step 6E: Test the package

Open the package in the repository and view the version history.

https://test.pypi.org/project/lts-mpsjobtracker/0.0.1/

Read Installation in this document for instructions on how to install and test the package in another project or environment.

7: Stop

STOP AND REMOVE

This command stops and removes all containers specified in the docker-compose-local.yml configuration. This command can be used in place of the 'stop' and 'rm' commands.

docker-compose -f docker-compose-local.yml down

More information

Read the documenation for more information on building and publishing the distribution.

Project details


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