Skip to main content

Nuvla Job Engine.

Project description

Nuvla Job Engine

UnitTests and Build Docker Dev. Image

This repository contains the code and configuration for the Job engine, packaged as a Docker container.

Nuvla job engine use cimi job resource and zookeeper as a locking queue. It's done in a way to be horizontally scalled on different nodes.

Artifacts

  • nuvla/job:<version>. A Docker container that can be obtained from the nuvla/job repository in Docker Hub. The tags indicate the release number.

Contributing

Source Code Changes

To contribute code to this repository, please follow these steps:

  1. Create a branch from main with a descriptive, kebab-cased name to hold all your changes.

  2. Follow the developer guidelines concerning formatting, etc. when modifying the code.

  3. Once the changes are ready to be reviewed, create a GitHub pull request. With the pull request, provide a description of the changes and links to any relevant issues (in this repository or others).

  4. Ensure that the triggered CI checks all pass. These are triggered automatically with the results shown directly in the pull request.

  5. Once the checks pass, assign the pull request to the repository coordinator (who may then assign it to someone else).

  6. Interact with the reviewer to address any comments.

When the reviewer is happy with the pull request, he/she will "squash & merge" the pull request and delete the corresponding branch.

Code Formatting

The bulk of the code in this repository is written in Python.

The formatting follows the coding style in defined in PEP 8.

Job engine behavior

  • Each action should be distributed by a standalone distributor
  • More than one distributor for the same action can be started but only one will be elected to distribute the job
  • Executor load actions dynamically at startup time
  • Zookeeper is used as a Locking queue containing only job uuid in /job/entries
  • Running jobs are put in zookeeper under /job/taken
  • If executor is unable to communicate with CIMI, the job in running state is released (put back in zookeeper queue).
  • The action implementation should take care to continue or to make the cleanup of a running interrupted job
  • If the connection break with zookeeper, job in exection will be released automatically. This is because /job/taken entries are ephemeral nodes.
  • Stopping the executor will try to make a proper shuttdown by waiting 2 minutes before killing the process. Each thread that terminate his running action will not take a new one.

Running unit tests

Before running unit tests with tox you need to generate requirements file out. To do so, we first need to generate the test requirements file. This is done using poetry requirements exporter which can be installed as follows:

pip install poetry poetry-plugin-export

Then run export command:

poetry export -f requirements.txt -o requirements.test.txt --without-hashes --without-urls --with test --with server

Then run the unit tests with:

tox

Locally Building Job Engine

Before running docker build you need to generate requirements file and the wheel package. To do, install poetry and poetry-plugin-export as described above and then run:

poetry build --format=wheel
poetry export -f requirements.txt -o dist/requirements.txt --without-hashes --without-urls --with server

The order of the commands might be important since the requirements file output goes into dist/ directory which is created by the first command.

Then building the image requires the following command:

export JOB_ENGINE_VERSION=$(poetry version -s)
docker build --build-arg="PACKAGE_TAG=${JOB_ENGINE_VERSION}" -t local/job:${JOB_ENGINE_VERSION} .

Copyright

Copyright © 2019-2024, SixSq SA

License

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

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

nuvla_job_engine-4.2.0.tar.gz (80.4 kB view details)

Uploaded Source

Built Distribution

nuvla_job_engine-4.2.0-py3-none-any.whl (122.7 kB view details)

Uploaded Python 3

File details

Details for the file nuvla_job_engine-4.2.0.tar.gz.

File metadata

  • Download URL: nuvla_job_engine-4.2.0.tar.gz
  • Upload date:
  • Size: 80.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.3 CPython/3.11.9 Linux/6.5.0-1023-azure

File hashes

Hashes for nuvla_job_engine-4.2.0.tar.gz
Algorithm Hash digest
SHA256 12c6b3657baf50cc07c914f1962f6b85054a42fb660dea9e8abefa86589643cb
MD5 4c50baa7fe8de606d45a74ae717bc0f9
BLAKE2b-256 a33f04c5173e814ef8e42de092dfdc6e4605721f94234ae9c6b1e3d39370cc10

See more details on using hashes here.

File details

Details for the file nuvla_job_engine-4.2.0-py3-none-any.whl.

File metadata

  • Download URL: nuvla_job_engine-4.2.0-py3-none-any.whl
  • Upload date:
  • Size: 122.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.3 CPython/3.11.9 Linux/6.5.0-1023-azure

File hashes

Hashes for nuvla_job_engine-4.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 58012d197fa23f560c5a5ec60092da9f03119385759679ac6964beccefc6ca2c
MD5 105e8451c602b433265b5399ebf42943
BLAKE2b-256 cc0e91b7aa56b961e9df1398678c972683710e05a7b73e30aa6aa912f8d9613d

See more details on using hashes here.

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