Set up bank feeds from accounts in your application to supported accounting software.
Bank Feeds API enables your SMB users to set up bank feeds from accounts in your application to supported accounting software.
Bank Feeds API: Bank Feeds API enables your SMB users to set up bank feeds from accounts in your application to supported accounting software.
A bank feed is a connection between a source bank account in your application and a target bank account in a supported accounting software.
Explore product | See OpenAPI spec
| Endpoints | Description |
|---|---|
| Companies | Create and manage your SMB users' companies. |
| Connections | Create new and manage existing data connections for a company. |
| Source accounts | Provide and manage lists of source bank accounts. |
| Account mapping | Extra functionality for building an account management UI. |
| Company information | Get detailed information about a company from the underlying platform. |
| Transactions | Create new bank account transactions for a company's connections, and see previous operations. |
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 codat-bankfeeds
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 codat-bankfeeds
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 codat_bankfeeds import CodatBankFeeds
from codat_bankfeeds.models import shared
from decimal import Decimal
with CodatBankFeeds() as codat_bank_feeds:
codat_bank_feeds.bank_feeds_source_account_connected(request={
"event_type": "bankFeeds.sourceAccount.connected",
"generated_date": "2022-10-23T00:00:00Z",
"id": "ba29118f-5406-4e59-b05c-ba307ca38d01",
"payload": {
"connection_id": "2e9d2c44-f675-40ba-8049-353bfcb5e171",
"reference_company": {
"description": "Requested early access to the new financing scheme.",
"id": "0498e921-9b53-4396-a412-4f2f5983b0a2",
"links": {
"portal": "https://app.codat.io/companies/0498e921-9b53-4396-a412-4f2f5983b0a2/summary",
},
"name": "Toft stores",
},
"source_account": {
"id": "acc-002",
"account_name": "account-081",
"account_number": "12345678",
"balance": Decimal("99.99"),
"currency": "GBP",
"modified_date": "2023-01-09T14:14:14.105Z",
"sort_code": "040004",
"status": shared.Status.PENDING,
},
},
})
# Use the SDK ...
The same SDK client can also be used to make asychronous requests by importing asyncio.
# Asynchronous Example
import asyncio
from codat_bankfeeds import CodatBankFeeds
from codat_bankfeeds.models import shared
from decimal import Decimal
async def main():
async with CodatBankFeeds() as codat_bank_feeds:
await codat_bank_feeds.bank_feeds_source_account_connected_async(request={
"event_type": "bankFeeds.sourceAccount.connected",
"generated_date": "2022-10-23T00:00:00Z",
"id": "ba29118f-5406-4e59-b05c-ba307ca38d01",
"payload": {
"connection_id": "2e9d2c44-f675-40ba-8049-353bfcb5e171",
"reference_company": {
"description": "Requested early access to the new financing scheme.",
"id": "0498e921-9b53-4396-a412-4f2f5983b0a2",
"links": {
"portal": "https://app.codat.io/companies/0498e921-9b53-4396-a412-4f2f5983b0a2/summary",
},
"name": "Toft stores",
},
"source_account": {
"id": "acc-002",
"account_name": "account-081",
"account_number": "12345678",
"balance": Decimal("99.99"),
"currency": "GBP",
"modified_date": "2023-01-09T14:14:14.105Z",
"sort_code": "040004",
"status": shared.Status.PENDING,
},
},
})
# Use the SDK ...
asyncio.run(main())
Certain SDK methods accept file objects as part of a request body or multi-part request. It is possible and typically recommended to upload files as a stream rather than reading the entire contents into memory. This avoids excessive memory consumption and potentially crashing with out-of-memory errors when working with very large files. The following example demonstrates how to attach a file stream to a request.
[!TIP]
For endpoints that handle file uploads bytes arrays can also be used. However, using streams is recommended for large files.
from codat_bankfeeds import CodatBankFeeds
from codat_bankfeeds.models import shared
with CodatBankFeeds(
security=shared.Security(
auth_header="Basic BASE_64_ENCODED(API_KEY)",
),
) as codat_bank_feeds:
res = codat_bank_feeds.source_accounts.generate_credentials(request={
"request_body": open("example.file", "rb"),
"company_id": "8a210b68-6988-11ed-a1eb-0242ac120002",
"connection_id": "2e9d2c44-f675-40ba-8049-353bfcb5e171",
})
if res is not None:
# handle response
pass
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 codat_bankfeeds import CodatBankFeeds
from codat_bankfeeds.models import shared
from codat_bankfeeds.utils import BackoffStrategy, RetryConfig
with CodatBankFeeds(
security=shared.Security(
auth_header="Basic BASE_64_ENCODED(API_KEY)",
),
) as codat_bank_feeds:
res = codat_bank_feeds.companies.create(request={
"name": "Technicalium",
"description": "Requested early access to the new financing scheme.",
},
RetryConfig("backoff", BackoffStrategy(1, 50, 1.1, 100), False))
if res is not None:
# handle response
pass
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 codat_bankfeeds import CodatBankFeeds
from codat_bankfeeds.models import shared
from codat_bankfeeds.utils import BackoffStrategy, RetryConfig
with CodatBankFeeds(
retry_config=RetryConfig("backoff", BackoffStrategy(1, 50, 1.1, 100), False),
security=shared.Security(
auth_header="Basic BASE_64_ENCODED(API_KEY)",
),
) as codat_bank_feeds:
res = codat_bank_feeds.companies.create(request={
"name": "Technicalium",
"description": "Requested early access to the new financing scheme.",
})
if res is not None:
# handle response
pass
Handling errors in this SDK should largely match your expectations. All operations return a response object or raise an exception.
By default, an API error will raise a errors.SDKError exception, which has the following properties:
| Property | Type | Description |
|---|---|---|
.status_code | int | The HTTP status code |
.message | str | The error message |
.raw_response | httpx.Response | The raw HTTP response |
.body | str | The response content |
When custom error responses are specified for an operation, the SDK may also raise their associated exceptions. You can refer to respective Errors tables in SDK docs for more details on possible exception types for each operation. For example, the create_async method may raise the following exceptions:
| Error Type | Status Code | Content Type |
|---|---|---|
| errors.ErrorMessage | 400, 401, 402, 403, 429, 500, 503 | application/json |
| errors.SDKError | 4XX, 5XX | */* |
from codat_bankfeeds import CodatBankFeeds
from codat_bankfeeds.models import errors, shared
with CodatBankFeeds(
security=shared.Security(
auth_header="Basic BASE_64_ENCODED(API_KEY)",
),
) as codat_bank_feeds:
res = None
try:
res = codat_bank_feeds.companies.create(request={
"name": "Technicalium",
"description": "Requested early access to the new financing scheme.",
})
if res is not None:
# handle response
pass
except errors.ErrorMessage as e:
# handle e.data: errors.ErrorMessageData
raise(e)
except errors.SDKError as e:
# handle exception
raise(e)
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 codat_bankfeeds import CodatBankFeeds
from codat_bankfeeds.models import shared
with CodatBankFeeds(
server_url="https://api.codat.io",
security=shared.Security(
auth_header="Basic BASE_64_ENCODED(API_KEY)",
),
) as codat_bank_feeds:
res = codat_bank_feeds.companies.create(request={
"name": "Technicalium",
"description": "Requested early access to the new financing scheme.",
})
if res is not None:
# handle response
pass
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 codat_bankfeeds import CodatBankFeeds
import httpx
http_client = httpx.Client(headers={"x-custom-header": "someValue"})
s = CodatBankFeeds(client=http_client)
or you could wrap the client with your own custom logic:
from codat_bankfeeds import CodatBankFeeds
from codat_bankfeeds.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 = CodatBankFeeds(async_client=CustomClient(httpx.AsyncClient()))
This SDK supports the following security scheme globally:
| Name | Type | Scheme |
|---|---|---|
auth_header | apiKey | API key |
You can set the security parameters through the security optional parameter when initializing the SDK client instance. For example:
from codat_bankfeeds import CodatBankFeeds
from codat_bankfeeds.models import shared
with CodatBankFeeds(
security=shared.Security(
auth_header="Basic BASE_64_ENCODED(API_KEY)",
),
) as codat_bank_feeds:
res = codat_bank_feeds.companies.create(request={
"name": "Technicalium",
"description": "Requested early access to the new financing scheme.",
})
if res is not None:
# handle response
pass
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 codat_bankfeeds import CodatBankFeeds
import logging
logging.basicConfig(level=logging.DEBUG)
s = CodatBankFeeds(debug_logger=logging.getLogger("codat_bankfeeds"))
If you encounter any challenges while utilizing our SDKs, please don't hesitate to reach out for assistance. You can raise any issues by contacting your dedicated Codat representative or reaching out to our support team. We're here to help ensure a smooth experience for you.
FAQs
Set up bank feeds from accounts in your application to supported accounting software.
We found that codat-bankfeeds demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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