compute-api-client

A client library for accessing Compute API

Usage

First, create a client. Since Compute requires authentication, use AuthenticatedClient class

from compute_api_client import AuthenticatedClient

client = AuthenticatedClient(base_url="http://compute-api:8000", token="SuperSecretToken")

Now we call Compute and get the list of Plugins:

from compute_api_client.models import Plugin
from compute_api_client.api.plugin_controller import plugin_controller_find
from compute_api_client.types import Response

response: Response[MyDataModel] = get_my_data_model.sync_detailed(client=client)

Or do the same thing with an async version:

from compute_api_client.models import Plugin
from compute_api_client.api.plugin_controller import plugin_controller_find
from compute_api_client.types import Response

response: Response[MyDataModel] = await get_my_data_model.sync_detailed(client=client)

There are more settings on the generated Client class which let you control more runtime behavior, check out the docstring on that class for more info.

Things to know:

1. Every path/method combo becomes a Python module with four functions:

   1. sync: Blocking request that returns parsed data (if successful) or None
   2. sync_detailed: Blocking request that always returns a Request, optionally with parsed set if the request was successful.
   3. asyncio: Like sync but async instead of blocking
   4. asyncio_detailed: Like sync_detailed but async instead of blocking

2. All path/query params, and bodies become method arguments.

3. If your endpoint had any tags on it, the first tag will be used as a module name for the function (my_tag above)

4. Any endpoint which did not have a tag will be in compute_api_client.api.default

Building / publishing this Client

This project uses Poetry to manage dependencies and packaging. Here are the basics:

1. Update the metadata in pyproject.toml (e.g. authors, version)
2. If you're using a private repository, configure it with Poetry
   1. poetry config repositories.<your-repository-name> <url-to-your-repository>
   2. poetry config http-basic.<your-repository-name> <username> <password>
3. Publish the client with poetry publish --build -r <your-repository-name> or, if for public PyPI, just poetry publish --build

If you want to install this client into another project without publishing it (e.g. for development) then:

1. If that project is using Poetry, you can simply do poetry add <path-to-this-client> from that project
2. If that project is not using Poetry:
   1. Build a wheel with poetry build -f wheel
   2. Install that wheel from the other project pip install <path-to-wheel>