A client library for accessing Contenda API
First, create a client:
from contenda_api_client import AuthenticatedClient
client = AuthenticatedClient(base_url="https://prod.contenda.io", token="SuperSecretToken")
Note: You'll need to exchange a token for your API key first through the identity endpoint.
Now call your endpoint and use your models:
from contenda_api_client.models import MyDataModel
from contenda_api_client.api.my_tag import get_my_data_model
from contenda_api_client.types import Response
my_data: MyDataModel = get_my_data_model.sync(client=client)
# or if you need more info (e.g. status_code)
response: Response[MyDataModel] = get_my_data_model.sync_detailed(client=client)
Or do the same thing with an async version:
from contenda_api_client.models import MyDataModel
from contenda_api_client.api.my_tag import get_my_data_model
from contenda_api_client.types import Response
my_data: MyDataModel = await get_my_data_model.asyncio(client=client)
response: Response[MyDataModel] = await get_my_data_model.asyncio_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:
-
Every path/method combo becomes a Python module with four functions:
sync
: Blocking request that returns parsed data (if successful) orNone
sync_detailed
: Blocking request that always returns aRequest
, optionally withparsed
set if the request was successful.asyncio
: Likesync
but async instead of blockingasyncio_detailed
: Likesync_detailed
but async instead of blocking
-
All path/query params, and bodies become method arguments.
-
If your endpoint had any tags on it, the first tag will be used as a module name for the function (my_tag above)
-
Any endpoint which did not have a tag will be in
contenda_api_client.api.default