Python Client SDK for Baynext API.
Project description
baynext-py
Developer-friendly & type-safe Python SDK specifically catered to leverage baynext-py API.
[!IMPORTANT] This SDK is not yet ready for production use. To complete setup please follow the steps outlined in your workspace. Delete this section before > publishing to a package manager.
Summary
Baynext API: The Baynext API allows you to manage Baynext programmatically .With the Baynext API, you manage all objects in your Baynext account.
This is the API documentation for the Baynext project management system. It provides endpoints for managing projects, datasets, pipelines, and more.
Authentication is handled via JWT tokens, and the system supports role-based access control to ensure secure and efficient project management.
Table of Contents
SDK Installation
[!NOTE] Python version upgrade policy
Once a Python version reaches its official end of life date, a 3-month grace period is provided for users to upgrade. Following this grace period, the minimum python version supported in the SDK will be updated.
The SDK can be installed with either pip or poetry package managers.
PIP
PIP is the default package installer for Python, enabling easy installation and management of packages from PyPI via the command line.
pip install baynext-py
Poetry
Poetry is a modern tool that simplifies dependency management and package publishing by using a single pyproject.toml file to handle project metadata and dependencies.
poetry add baynext-py
Shell and script usage with uv
You can use this SDK in a Python shell with uv and the uvx command that comes with it like so:
uvx --from baynext-py python
It's also possible to write a standalone Python script without needing to set up a whole project like so:
#!/usr/bin/env -S uv run --script
# /// script
# requires-python = ">=3.9"
# dependencies = [
# "baynext-py",
# ]
# ///
from baynext import Baynext
sdk = Baynext(
# SDK arguments
)
# Rest of script here...
Once that is saved to a file, you can run it with uv run script.py where
script.py can be replaced with the actual file name.
IDE Support
PyCharm
Generally, the SDK will work well with most IDEs out of the box. However, when using PyCharm, you can enjoy much better integration with Pydantic by installing an additional plugin.
SDK Example Usage
Example
# Synchronous Example
from baynext import Baynext
import os
with Baynext(
http_bearer=os.getenv("BAYNEXT_HTTP_BEARER", ""),
) as b_client:
res = b_client.projects.list(limit=10, offset=0)
# Handle response
print(res)
The same SDK client can also be used to make asynchronous requests by importing asyncio.
# Asynchronous Example
import asyncio
from baynext import Baynext
import os
async def main():
async with Baynext(
http_bearer=os.getenv("BAYNEXT_HTTP_BEARER", ""),
) as b_client:
res = await b_client.projects.list_async(limit=10, offset=0)
# Handle response
print(res)
asyncio.run(main())
Authentication
Per-Client Security Schemes
This SDK supports the following security scheme globally:
| Name | Type | Scheme | Environment Variable |
|---|---|---|---|
http_bearer |
http | HTTP Bearer | BAYNEXT_HTTP_BEARER |
To authenticate with the API the http_bearer parameter must be set when initializing the SDK client instance. For example:
from baynext import Baynext
import os
with Baynext(
http_bearer=os.getenv("BAYNEXT_HTTP_BEARER", ""),
) as b_client:
res = b_client.projects.list(limit=10, offset=0)
# Handle response
print(res)
Available Resources and Operations
Retries
Some of the endpoints in this SDK support retries. If you use the SDK without any configuration, it will fall back to the default retry strategy provided by the API. However, the default retry strategy can be overridden on a per-operation basis, or across the entire SDK.
To change the default retry strategy for a single API call, simply provide a RetryConfig object to the call:
from baynext import Baynext
from baynext.utils import BackoffStrategy, RetryConfig
import os
with Baynext(
http_bearer=os.getenv("BAYNEXT_HTTP_BEARER", ""),
) as b_client:
res = b_client.projects.list(limit=10, offset=0,
RetryConfig("backoff", BackoffStrategy(1, 50, 1.1, 100), False))
# Handle response
print(res)
If you'd like to override the default retry strategy for all operations that support retries, you can use the retry_config optional parameter when initializing the SDK:
from baynext import Baynext
from baynext.utils import BackoffStrategy, RetryConfig
import os
with Baynext(
retry_config=RetryConfig("backoff", BackoffStrategy(1, 50, 1.1, 100), False),
http_bearer=os.getenv("BAYNEXT_HTTP_BEARER", ""),
) as b_client:
res = b_client.projects.list(limit=10, offset=0)
# Handle response
print(res)
Error Handling
BaynextError is the base class for all HTTP error responses. It has the following properties:
| Property | Type | Description |
|---|---|---|
err.message |
str |
Error message |
err.status_code |
int |
HTTP response status code eg 404 |
err.headers |
httpx.Headers |
HTTP response headers |
err.body |
str |
HTTP body. Can be empty string if no body is returned. |
err.raw_response |
httpx.Response |
Raw HTTP response |
err.data |
Optional. Some errors may contain structured data. See Error Classes. |
Example
from baynext import Baynext, errors
import os
with Baynext(
http_bearer=os.getenv("BAYNEXT_HTTP_BEARER", ""),
) as b_client:
res = None
try:
res = b_client.projects.list(limit=10, offset=0)
# Handle response
print(res)
except errors.BaynextError as e:
# The base class for HTTP error responses
print(e.message)
print(e.status_code)
print(e.body)
print(e.headers)
print(e.raw_response)
# Depending on the method different errors may be thrown
if isinstance(e, errors.HTTPValidationError):
print(e.data.detail) # Optional[List[models.ValidationError]]
Error Classes
Primary error:
BaynextError: The base class for HTTP error responses.
Less common errors (6)
Network errors:
httpx.RequestError: Base class for request errors.httpx.ConnectError: HTTP client was unable to make a request to a server.httpx.TimeoutException: HTTP request timed out.
Inherit from BaynextError:
HTTPValidationError: Validation Error. Status code422. Applicable to 2 of 3 methods.*ResponseValidationError: Type mismatch between the response data and the expected Pydantic model. Provides access to the Pydantic validation error via thecauseattribute.
* Check the method documentation to see if the error is applicable.
Server Selection
Override Server URL Per-Client
The default server can be overridden globally by passing a URL to the server_url: str optional parameter when initializing the SDK client instance. For example:
from baynext import Baynext
import os
with Baynext(
server_url="https://baynext-api.onrender.com",
http_bearer=os.getenv("BAYNEXT_HTTP_BEARER", ""),
) as b_client:
res = b_client.projects.list(limit=10, offset=0)
# Handle response
print(res)
Custom HTTP Client
The Python SDK makes API calls using the httpx HTTP library. In order to provide a convenient way to configure timeouts, cookies, proxies, custom headers, and other low-level configuration, you can initialize the SDK client with your own HTTP client instance.
Depending on whether you are using the sync or async version of the SDK, you can pass an instance of HttpClient or AsyncHttpClient respectively, which are Protocol's ensuring that the client has the necessary methods to make API calls.
This allows you to wrap the client with your own custom logic, such as adding custom headers, logging, or error handling, or you can just pass an instance of httpx.Client or httpx.AsyncClient directly.
For example, you could specify a header for every request that this sdk makes as follows:
from baynext import Baynext
import httpx
http_client = httpx.Client(headers={"x-custom-header": "someValue"})
s = Baynext(client=http_client)
or you could wrap the client with your own custom logic:
from baynext import Baynext
from baynext.httpclient import AsyncHttpClient
import httpx
class CustomClient(AsyncHttpClient):
client: AsyncHttpClient
def __init__(self, client: AsyncHttpClient):
self.client = client
async def send(
self,
request: httpx.Request,
*,
stream: bool = False,
auth: Union[
httpx._types.AuthTypes, httpx._client.UseClientDefault, None
] = httpx.USE_CLIENT_DEFAULT,
follow_redirects: Union[
bool, httpx._client.UseClientDefault
] = httpx.USE_CLIENT_DEFAULT,
) -> httpx.Response:
request.headers["Client-Level-Header"] = "added by client"
return await self.client.send(
request, stream=stream, auth=auth, follow_redirects=follow_redirects
)
def build_request(
self,
method: str,
url: httpx._types.URLTypes,
*,
content: Optional[httpx._types.RequestContent] = None,
data: Optional[httpx._types.RequestData] = None,
files: Optional[httpx._types.RequestFiles] = None,
json: Optional[Any] = None,
params: Optional[httpx._types.QueryParamTypes] = None,
headers: Optional[httpx._types.HeaderTypes] = None,
cookies: Optional[httpx._types.CookieTypes] = None,
timeout: Union[
httpx._types.TimeoutTypes, httpx._client.UseClientDefault
] = httpx.USE_CLIENT_DEFAULT,
extensions: Optional[httpx._types.RequestExtensions] = None,
) -> httpx.Request:
return self.client.build_request(
method,
url,
content=content,
data=data,
files=files,
json=json,
params=params,
headers=headers,
cookies=cookies,
timeout=timeout,
extensions=extensions,
)
s = Baynext(async_client=CustomClient(httpx.AsyncClient()))
Resource Management
The Baynext class implements the context manager protocol and registers a finalizer function to close the underlying sync and async HTTPX clients it uses under the hood. This will close HTTP connections, release memory and free up other resources held by the SDK. In short-lived Python programs and notebooks that make a few SDK method calls, resource management may not be a concern. However, in longer-lived programs, it is beneficial to create a single SDK instance via a context manager and reuse it across the application.
from baynext import Baynext
import os
def main():
with Baynext(
http_bearer=os.getenv("BAYNEXT_HTTP_BEARER", ""),
) as b_client:
# Rest of application here...
# Or when using async:
async def amain():
async with Baynext(
http_bearer=os.getenv("BAYNEXT_HTTP_BEARER", ""),
) as b_client:
# Rest of application here...
Debugging
You can setup your SDK to emit debug logs for SDK requests and responses.
You can pass your own logger class directly into your SDK.
from baynext import Baynext
import logging
logging.basicConfig(level=logging.DEBUG)
s = Baynext(debug_logger=logging.getLogger("baynext"))
You can also enable a default debug logger by setting an environment variable BAYNEXT_DEBUG to true.
Development
Maturity
This SDK is in beta, and there may be breaking changes between versions without a major version update. Therefore, we recommend pinning usage to a specific package version. This way, you can install the same version each time without breaking changes unless you are intentionally looking for the latest version.
Contributions
While we value open-source contributions to this SDK, this library is generated programmatically. Any manual changes added to internal files will be overwritten on the next generation. We look forward to hearing your feedback. Feel free to open a PR or an issue with a proof of concept and we'll do our best to include it in a future release.
SDK Created by Speakeasy
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