Developer-friendly & type-safe Python SDK specifically catered to leverage deck-sdk API.
Deck API: # Deck API makes it straightforward for users to connect to any portal securely and quickly.
Welcome! Looking for a quick introduction to our API? Check out the 🚀Quickstart guide.
Starting on the sandbox server is easy:
- Create an account using the dashboard to get your client id and sandbox secret
- Enter your client id and sandbox secret in the Authentication section below
- Hit the "Try" buttons below for each endpoint.
Happy querying!
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 is the default package installer for Python, enabling easy installation and management of packages from PyPI via the command line.
pip install deck-sdk
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 deck-sdk
You can use this SDK in a Python shell with uv and the uvx
command that comes with it like so:
uvx --from deck-sdk 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 = [
# "deck-sdk",
# ]
# ///
from deck_sdk import DeckSDK
sdk = DeckSDK(
# 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.
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.
# Synchronous Example
from deck_sdk import DeckSDK, models
import os
with DeckSDK(
security=models.Security(
client_id=os.getenv("DECKSDK_CLIENT_ID", ""),
secret=os.getenv("DECKSDK_SECRET", ""),
),
) as ds_client:
res = ds_client.jobs.submit(request={
"job_code": "FetchDocuments",
"input": {
"access_token": "access-development-6599f8dd-1a1c-4586-39d1-08ddb97283f7",
"key1": "value1",
"someProperty": "someValue",
},
})
# Handle response
print(res)
The same SDK client can also be used to make asychronous requests by importing asyncio.
# Asynchronous Example
import asyncio
from deck_sdk import DeckSDK, models
import os
async def main():
async with DeckSDK(
security=models.Security(
client_id=os.getenv("DECKSDK_CLIENT_ID", ""),
secret=os.getenv("DECKSDK_SECRET", ""),
),
) as ds_client:
res = await ds_client.jobs.submit_async(request={
"job_code": "FetchDocuments",
"input": {
"access_token": "access-development-6599f8dd-1a1c-4586-39d1-08ddb97283f7",
"key1": "value1",
"someProperty": "someValue",
},
})
# Handle response
print(res)
asyncio.run(main())
This SDK supports the following security schemes globally:
Name | Type | Scheme | Environment Variable |
---|---|---|---|
client_id |
apiKey | API key | DECKSDK_CLIENT_ID |
secret |
apiKey | API key | DECKSDK_SECRET |
You can set the security parameters through the security
optional parameter when initializing the SDK client instance. The selected scheme will be used by default to authenticate with the API for all operations that support it. For example:
from deck_sdk import DeckSDK, models
import os
with DeckSDK(
security=models.Security(
client_id=os.getenv("DECKSDK_CLIENT_ID", ""),
secret=os.getenv("DECKSDK_SECRET", ""),
),
) as ds_client:
res = ds_client.jobs.submit(request={
"job_code": "FetchDocuments",
"input": {
"access_token": "access-development-6599f8dd-1a1c-4586-39d1-08ddb97283f7",
"key1": "value1",
"someProperty": "someValue",
},
})
# Handle response
print(res)
Available methods
- exchange_public_token - Exchange public token for an access token
- get_context - Get connection status details
- get_accounts - Get the connection list of account numbers
- select_accounts - Update the list of accounts to be considered
- update_auto_refresh - Update connection stream config
- refresh - Request manual refresh
- destroy - Delete all data related to a connection, losing access to it.
- invalidate_access_token - Invalidate access_token
- update_webhook - Update the webhook url for a connection
- submit - Send your job requests
- answer_mfa - Provide MFA code
- get_document_file - Get raw file
- list - List documents
- create_token - Create a Link Token for running a Link session
- get_info - Get client information
- search_sources - Search sources
- select_account - Select accounts
- get_token - Get information about a previously created link_token
- connect - Connect with credentials
- get_connection_status - Get the status of an attempted connection
- list_accounts - Return the list of accounts found while creating connection
- get_mfa_question - Get the security question
- answer_mfa - Provide MFA code
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 deck_sdk import DeckSDK, models
from deck_sdk.utils import BackoffStrategy, RetryConfig
import os
with DeckSDK(
security=models.Security(
client_id=os.getenv("DECKSDK_CLIENT_ID", ""),
secret=os.getenv("DECKSDK_SECRET", ""),
),
) as ds_client:
res = ds_client.jobs.submit(request={
"job_code": "FetchDocuments",
"input": {
"access_token": "access-development-6599f8dd-1a1c-4586-39d1-08ddb97283f7",
"key1": "value1",
"someProperty": "someValue",
},
},
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 deck_sdk import DeckSDK, models
from deck_sdk.utils import BackoffStrategy, RetryConfig
import os
with DeckSDK(
retry_config=RetryConfig("backoff", BackoffStrategy(1, 50, 1.1, 100), False),
security=models.Security(
client_id=os.getenv("DECKSDK_CLIENT_ID", ""),
secret=os.getenv("DECKSDK_SECRET", ""),
),
) as ds_client:
res = ds_client.jobs.submit(request={
"job_code": "FetchDocuments",
"input": {
"access_token": "access-development-6599f8dd-1a1c-4586-39d1-08ddb97283f7",
"key1": "value1",
"someProperty": "someValue",
},
})
# Handle response
print(res)
DeckSDKError
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. |
from deck_sdk import DeckSDK, errors, models
import os
with DeckSDK(
security=models.Security(
client_id=os.getenv("DECKSDK_CLIENT_ID", ""),
secret=os.getenv("DECKSDK_SECRET", ""),
),
) as ds_client:
res = None
try:
res = ds_client.jobs.submit(request={
"job_code": "FetchDocuments",
"input": {
"access_token": "access-development-6599f8dd-1a1c-4586-39d1-08ddb97283f7",
"key1": "value1",
"someProperty": "someValue",
},
})
# Handle response
print(res)
except errors.DeckSDKError 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.BadRequestJobResponseError):
print(e.data.error_code) # models.ErrorCodeEnum
print(e.data.message) # Optional[str]
print(e.data.error_message) # str
Primary errors:
DeckSDKError
: The base class for HTTP error responses.ErrorMessageResponse
: Bad Request. Status code400
. *
Less common errors (7)
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 DeckSDKError
:
BadRequestJobResponseError
: Bad Request. Status code400
. Applicable to 1 of 23 methods.*AlreadyRunningJobResponseError
: Conflict. Status code409
. Applicable to 1 of 23 methods.*ResponseValidationError
: Type mismatch between the response data and the expected Pydantic model. Provides access to the Pydantic validation error via thecause
attribute.
* Check the method documentation to see if the error is applicable.
You can override the default server globally by passing a server index to the server_idx: int
optional parameter when initializing the SDK client instance. The selected server will then be used as the default on the operations that use it. This table lists the indexes associated with the available servers:
# | Server | Description |
---|---|---|
0 | https://sandbox.deck.co/api/v1 |
Deck Sandbox API |
1 | https://live.deck.co/api/v1 |
Deck API |
from deck_sdk import DeckSDK, models
import os
with DeckSDK(
server_idx=1,
security=models.Security(
client_id=os.getenv("DECKSDK_CLIENT_ID", ""),
secret=os.getenv("DECKSDK_SECRET", ""),
),
) as ds_client:
res = ds_client.jobs.submit(request={
"job_code": "FetchDocuments",
"input": {
"access_token": "access-development-6599f8dd-1a1c-4586-39d1-08ddb97283f7",
"key1": "value1",
"someProperty": "someValue",
},
})
# Handle response
print(res)
The default server can also be overridden globally by passing a URL to the server_url: str
optional parameter when initializing the SDK client instance. For example:
from deck_sdk import DeckSDK, models
import os
with DeckSDK(
server_url="https://live.deck.co/api/v1",
security=models.Security(
client_id=os.getenv("DECKSDK_CLIENT_ID", ""),
secret=os.getenv("DECKSDK_SECRET", ""),
),
) as ds_client:
res = ds_client.jobs.submit(request={
"job_code": "FetchDocuments",
"input": {
"access_token": "access-development-6599f8dd-1a1c-4586-39d1-08ddb97283f7",
"key1": "value1",
"someProperty": "someValue",
},
})
# Handle response
print(res)
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 deck_sdk import DeckSDK
import httpx
http_client = httpx.Client(headers={"x-custom-header": "someValue"})
s = DeckSDK(client=http_client)
or you could wrap the client with your own custom logic:
from deck_sdk import DeckSDK
from deck_sdk.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 = DeckSDK(async_client=CustomClient(httpx.AsyncClient()))
The DeckSDK
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 deck_sdk import DeckSDK, models
import os
def main():
with DeckSDK(
security=models.Security(
client_id=os.getenv("DECKSDK_CLIENT_ID", ""),
secret=os.getenv("DECKSDK_SECRET", ""),
),
) as ds_client:
# Rest of application here...
# Or when using async:
async def amain():
async with DeckSDK(
security=models.Security(
client_id=os.getenv("DECKSDK_CLIENT_ID", ""),
secret=os.getenv("DECKSDK_SECRET", ""),
),
) as ds_client:
# Rest of application here...
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 deck_sdk import DeckSDK
import logging
logging.basicConfig(level=logging.DEBUG)
s = DeckSDK(debug_logger=logging.getLogger("deck_sdk"))
You can also enable a default debug logger by setting an environment variable DECKSDK_DEBUG
to true.
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.
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.