A package providing template applications for data services, and a python SDK to the Octue API.
Project description
Octue Python SDK
The python SDK for running Octue data services, digital twins, and applications - get faster data groundwork so you have more time for the science!
Read the docs here.
Uses our twined library for data validation.
Installation and usage
To install, run one of:
pip install octue
poetry add octue
The command line interface (CLI) can then be accessed via:
octue --help
Usage: octue [OPTIONS] COMMAND [ARGS]...
The CLI for the Octue SDK. Use it to start an Octue data service or digital
twin locally or run an analysis on one locally.
Read more in the docs: https://octue-python-sdk.readthedocs.io/en/latest/
Options:
--id UUID UUID of the analysis being undertaken. None
(for local use) will cause a unique ID to be
generated.
--logger-uri TEXT Stream logs to a websocket at the given URI.
--log-level [debug|info|warning|error]
Log level used for the analysis. [default:
info]
--force-reset / --no-force-reset
Forces a reset of analysis cache and outputs
[For future use, currently not implemented]
[default: force-reset]
--version Show the version and exit.
-h, --help Show this message and exit.
Commands:
deploy Deploy a python app to the cloud as an Octue service or digital...
run Run an analysis on the given input data using an Octue service...
start Start an Octue service or digital twin locally as a child so it...
Deprecated code
When code is deprecated, it will still work but a deprecation warning will be issued with a suggestion on how to update it. After an adjustment period, deprecations will be removed from the codebase according to the code removal schedule. This constitutes a breaking change.
Developer notes
Installation
We use Poetry as our package manager. For development, run the following from the repository root, which will editably install the package:
poetry install --all-extras
Then run the tests to check everything's working.
Testing
These environment variables need to be set to run the tests:
GOOGLE_APPLICATION_CREDENTIALS=/absolute/path/to/service/account/file.json
TEST_PROJECT_NAME=<name-of-google-cloud-project-to-run-pub-sub-tests-on>
Then, from the repository root, run
python3 -m unittest
or
tox
Contributing
Take a look at our contributing page.
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