Creating services
One of the main features of the Octue SDK is to allow you to easily create services that can accept questions and return answers. They can run locally on any machine or be deployed to the cloud. Currently:
The backend communication between twins uses Google Pub/Sub whether they’re local or deployed
Services are deployed to Google Cloud Run
The language of the entrypoint must by
python3
(you can call processes using other languages within this though)
Anatomy of an Octue service
An Octue service is defined by the following files (located in the repository root by default).
app.py
This is the entrypoint into your code - read more here.
twine.json
This file defines the schema for the service’s configuration, input, and output data. Read more here and see an example here.
Dependencies file
A file specifying your app’s dependencies. This is a setup.py file, a requirements.txt file, or a pyproject.toml file listing all the python packages your app depends on and the version ranges that are supported.
octue.yaml
This describes the service configuration - read more...
This file defines the basic structure of your service. It must contain at least:
services: - namespace: my-organisation name: my-appIt may also need the following key-value pairs:
app_source_path: <path>
- if yourapp.py
file is not in the repository root
app_configuration_path: <path>
- if your app needs an app configuration file that isn’t in the repository root
dockerfile_path: <path>
- if your app needs aDockerfile
that isn’t in the repository rootAll paths should be relative to the repository root. Other valid entries can be found in the
ServiceConfiguration
constructor.Warning
Currently, only one service can be defined per repository, but it must still appear as a list item of the “services” key. At some point, it will be possible to define multiple services in one repository.
App configuration file (optional)
Dockerfile (optional)
Provide this if your needs exceed the default Octue Dockerfile - read more...
Octue services run in a Docker container if they are deployed. They can also run this way locally. The SDK provides a default
Dockerfile
for these purposes that will work for most cases:
For deploying to Google Cloud Run
However, you may need to write and provide your own
Dockerfile
if your app requires:
Non-python or system dependencies (e.g.
openfast
,wget
)Python dependencies that aren’t installable via
pip
Private python packages
Here are two examples of a custom
Dockerfile
that use different base images:If you do provide one, you must specify its path in
octue.yaml
under thedockerfile_path
key.As always, if you need help with this, feel free to drop us a message or raise an issue!
Where to specify the namespace, name, and revision tag
See here for service naming requirements.
Namespace
Required: yes
Set in:
octue.yaml
OCTUE_SERVICE_NAMESPACE
environment variable (takes priority)
Name
Required: yes
Set in:
octue.yaml
OCTUE_SERVICE_NAME
environment variable (takes priority)
Revision tag
Required: no
Default: a random “coolname” (e.g.
hungry-hippo
)Set in:
OCTUE_SERVICE_REVISION_TAG
environment variableIf using
octue start
command, the--revision-tag
option (takes priority)
Template apps
We’ve created some template apps for you to look at and play around with. We recommend going through them in this order:
The fractal app template - introduces a basic Octue service that returns output values to its parent.
The using-manifests app template - introduces using a manifest of output datasets to return output files to its parent.
The child-services app template - introduces asking questions to child services and using their answers to form an output to return to its parent.
Deploying services automatically
Automated deployment with Octue means:
Your service runs in Google Cloud, ready to accept questions from and return answers to other services.
You don’t need to do anything to update your deployed service with new code changes - the service simply gets rebuilt and re-deployed each time you push a commit to your
main
branch, or merge a pull request into it (other branches and deployment strategies are available, but this is the default).Serverless is the default - your service only runs when questions from other services are sent to it, meaning there is no cost to having it deployed but not in use.
To enable automated deployments, contact us so we can create a Google Cloud Build trigger linked to your git repository. This requires no work from you apart from authorising the connection to GitHub (or another git provider).
If you want to deploy services yourself, see here.