A client library for accessing Jellyfin API
Generated API bindings for python from the Jellyfin OpenAPI specification with the help of openapi-python-client.
pip install jellyfin-api-client
First, create a client:
from jellyfin_api_client import Client
client = Client(base_url="https://api.example.com")
If the endpoints you're going to hit require authentication, use AuthenticatedClient
instead:
from jellyfin_api_client import AuthenticatedClient
client = AuthenticatedClient(base_url="https://api.example.com", token="SuperSecretToken")
Now call your endpoint and use your models:
from jellyfin_api_client.models import MyDataModel
from jellyfin_api_client.api.my_tag import get_my_data_model
from jellyfin_api_client.types import Response
with client as client:
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 jellyfin_api_client.models import MyDataModel
from jellyfin_api_client.api.my_tag import get_my_data_model
from jellyfin_api_client.types import Response
async with client as client:
my_data: MyDataModel = await get_my_data_model.asyncio(client=client)
response: Response[MyDataModel] = await get_my_data_model.asyncio_detailed(client=client)
By default, when you're calling an HTTPS API it will attempt to verify that SSL is working correctly. Using certificate verification is highly recommended most of the time, but sometimes you may need to authenticate to a server (especially an internal server) using a custom certificate bundle.
client = AuthenticatedClient(
base_url="https://internal_api.example.com",
token="SuperSecretToken",
verify_ssl="/path/to/certificate_bundle.pem",
)
You can also disable certificate validation altogether, but beware that this is a security risk.
client = AuthenticatedClient(
base_url="https://internal_api.example.com",
token="SuperSecretToken",
verify_ssl=False
)
Things to know:
Every path/method combo becomes a Python module with four functions:
sync
: Blocking request that returns parsed data (if successful) or None
sync_detailed
: Blocking request that always returns a Request
, optionally with parsed
set if the request was successful.asyncio
: Like sync
but async instead of blockingasyncio_detailed
: Like sync_detailed
but async instead of blockingAll 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 jellyfin_api_client.api.default
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. You can also customize the underlying httpx.Client
or httpx.AsyncClient
(depending on your use-case):
from jellyfin_api_client import Client
def log_request(request):
print(f"Request event hook: {request.method} {request.url} - Waiting for response")
def log_response(response):
request = response.request
print(f"Response event hook: {request.method} {request.url} - Status {response.status_code}")
client = Client(
base_url="https://api.example.com",
httpx_args={"event_hooks": {"request": [log_request], "response": [log_response]}},
)
# Or get the underlying httpx client to modify directly with client.get_httpx_client() or client.get_async_httpx_client()
You can even set the httpx client directly, but beware that this will override any existing settings (e.g., base_url):
import httpx
from jellyfin_api_client import Client
client = Client(
base_url="https://api.example.com",
)
# Note that base_url needs to be re-set, as would any shared cookies, headers, etc.
client.set_httpx_client(httpx.Client(base_url="https://api.example.com", proxies="http://localhost:8030"))
This project uses Poetry to manage dependencies and packaging. Here are the basics:
poetry config repositories.<your-repository-name> <url-to-your-repository>
poetry config http-basic.<your-repository-name> <username> <password>
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:
poetry add <path-to-this-client>
from that projectpoetry build -f wheel
pip install <path-to-wheel>