Skip to main content

Package to define and run a Code Ocean Pipeline Monitor Job

Project description

aind-codeocean-pipeline-monitor

License Code Style semantic-release: angular Interrogate Coverage Python

Package for starting a pipeline, waiting for it to finish, and optionally capturing the results as a data asset.

Usage

  • Define job using PipelineMonitorJobSettings class.
  • Define a CodeOcean client.
  • Construct a PipelineMonitorJob with these settings.
  • Run the job with the run_job method.
from aind_codeocean_pipeline_monitor.job import PipelineMonitorJob
from aind_codeocean_pipeline_monitor.models import (
    CaptureSettings,
    PipelineMonitorSettings,
)

from codeocean.capsule import Capsules
from codeocean.data_asset import DataAssets
from codeocean.computation import (
    Computations,
    DataAssetsRunParam,
    RunParams,
)
from codeocean import CodeOcean
import os
from urllib3.util import Retry
from requests.adapters import HTTPAdapter


domain = os.getenv("CODEOCEAN_DOMAIN")
token = os.getenv("CODEOCEAN_TOKEN")
client = CodeOcean(domain=domain, token=token)
# Recommend adding retry strategy to requests session
retry = Retry(
    total=5,
    backoff_jitter=0.5,
    backoff_factor=1,
    status_forcelist=[429, 500, 502, 503, 504],
)
adapter = HTTPAdapter(max_retries=retry)
client.session.mount(domain, adapter)
client.capsules = Capsules(client.session)
client.computations = Computations(client.session)
client.data_assets = DataAssets(client.session)

# Please consult Code Ocean docs for info about RunParams and DataAssetParams
settings = PipelineMonitorSettings(
    run_params=RunParams(
        capsule_id="<your capsule id>",
        data_assets=[
            DataAssetsRunParam(
                id="<your input data asset id>",
                mount="<your input data mount>",
            )
        ],
    ),
    capture_settings=CaptureSettings(
        tags=["derived"]
    ),  # 'tags' is the only required field
)

job = PipelineMonitorJob(job_settings=settings, client=client)
job.run_job()

Installation

To use the software, in the root directory, run

pip install -e .

To develop the code, run

pip install -e .[dev]

Contributing

Linters and testing

There are several libraries used to run linters, check documentation, and run tests.

  • Please test your changes using the coverage library, which will run the tests and log a coverage report:
coverage run -m unittest discover && coverage report
  • Use interrogate to check that modules, methods, etc. have been documented thoroughly:
interrogate .
  • Use flake8 to check that code is up to standards (no unused imports, etc.):
flake8 .
  • Use black to automatically format the code into PEP standards:
black .
  • Use isort to automatically sort import statements:
isort .

Pull requests

For internal members, please create a branch. For external members, please fork the repository and open a pull request from the fork. We'll primarily use Angular style for commit messages. Roughly, they should follow the pattern:

<type>(<scope>): <short summary>

where scope (optional) describes the packages affected by the code changes and type (mandatory) is one of:

  • build: Changes that affect build tools or external dependencies (example scopes: pyproject.toml, setup.py)
  • ci: Changes to our CI configuration files and scripts (examples: .github/workflows/ci.yml)
  • docs: Documentation only changes
  • feat: A new feature
  • fix: A bugfix
  • perf: A code change that improves performance
  • refactor: A code change that neither fixes a bug nor adds a feature
  • test: Adding missing tests or correcting existing tests

Semantic Release

The table below, from semantic release, shows which commit message gets you which release type when semantic-release runs (using the default configuration):

Commit message Release type
fix(pencil): stop graphite breaking when too much pressure applied Patch Fix Release, Default release
feat(pencil): add 'graphiteWidth' option Minor Feature Release
perf(pencil): remove graphiteWidth option

BREAKING CHANGE: The graphiteWidth option has been removed.
The default graphite width of 10mm is always used for performance reasons.
Major Breaking Release
(Note that the BREAKING CHANGE: token must be in the footer of the commit)

Documentation

To generate the rst files source files for documentation, run

sphinx-apidoc -o docs/source/ src

Then to create the documentation HTML files, run

sphinx-build -b html docs/source/ docs/build/html

More info on sphinx installation can be found here.

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

aind_codeocean_pipeline_monitor-0.5.0.tar.gz (44.2 kB view details)

Uploaded Source

Built Distribution

File details

Details for the file aind_codeocean_pipeline_monitor-0.5.0.tar.gz.

File metadata

File hashes

Hashes for aind_codeocean_pipeline_monitor-0.5.0.tar.gz
Algorithm Hash digest
SHA256 4edc662b7b9cc28a88d5610fd8025a158ebd96fd62b4afc9896161bd9c0c63a3
MD5 8391707b15fcc3c37f67d2b9e7709998
BLAKE2b-256 65b9fa51d90d616dca2e2dac667547922688622be058497c6870a73384384fba

See more details on using hashes here.

File details

Details for the file aind_codeocean_pipeline_monitor-0.5.0-py3-none-any.whl.

File metadata

File hashes

Hashes for aind_codeocean_pipeline_monitor-0.5.0-py3-none-any.whl
Algorithm Hash digest
SHA256 fcce7b06b32568130c7793d58eeef8c3e00ebe2c554c52f1ad1ceb4567eeef06
MD5 5d74a55fbad5dfd038d11cc680443d8c
BLAKE2b-256 e9437270ed6b3628d75463582c98a4313f56b18b754dd894c2f5a89afa799a80

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