Push expenses to accounting software.
Project description
Sync for Expenses
Embedded accounting integrations for corporate card providers.
Summary
Expenses: The API for Codat's Expenses solution.
Expenses is an API and a set of supporting tools. It has been built to enable corporate card and expense management platforms to provide high-quality integrations with multiple accounting software through a standardized API.
Explore solution | See our OpenAPI spec
Not seeing the endpoints you're expecting? We've reorganized our solutions, and you may be using a different version of Expenses.
Endpoints
| Endpoints | Description |
|---|---|
| Companies | Create and manage your SMB users' companies. |
| Connections | Create new and manage existing data connections for a company. |
| Configuration | View and manage mapping configuration and defaults for expense transactions. |
| Sync | Monitor the status of data syncs. |
| Expenses | Create and update transactions that represent your customers' spend. |
| Transfers | Create and update transactions that represent the movement of your customers' money. |
| Reimbursements | Create and update transactions that represent your customers' repayable spend. |
| Attachments | Attach receipts to a transaction for a complete audit trail. |
| Transaction status | Monitor the status of individual transactions in data syncs. |
| Manage data | Control and monitor the retrieval of data from an integration. |
| Push operations | View historic push operations. |
| Accounts | Create accounts and view account schemas. |
| Customers | Get, create, and update customers. |
| Suppliers | Get, create, and update suppliers. |
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 uv, pip, or poetry package managers.
uv
uv is a fast Python package installer and resolver, designed as a drop-in replacement for pip and pip-tools. It's recommended for its speed and modern Python tooling capabilities.
uv add codat-sync-for-expenses
PIP
PIP is the default package installer for Python, enabling easy installation and management of packages from PyPI via the command line.
pip install codat-sync-for-expenses
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 codat-sync-for-expenses
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 codat-sync-for-expenses 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 = ">=3.10"
# dependencies = [
# "codat-sync-for-expenses",
# ]
# ///
from codat_sync_for_expenses import CodatSyncExpenses
sdk = CodatSyncExpenses(
# 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.
Example Usage
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 codat_sync_for_expenses import CodatSyncExpenses
from codat_sync_for_expenses.models import shared
with CodatSyncExpenses(
security=shared.Security(
auth_header="Basic BASE_64_ENCODED(API_KEY)",
),
) as codat_sync_expenses:
res = codat_sync_expenses.companies.create(request={
"name": "Technicalium",
})
# Handle response
print(res)
The same SDK client can also be used to make asynchronous requests by importing asyncio.
# Asynchronous Example
import asyncio
from codat_sync_for_expenses import CodatSyncExpenses
from codat_sync_for_expenses.models import shared
async def main():
async with CodatSyncExpenses(
security=shared.Security(
auth_header="Basic BASE_64_ENCODED(API_KEY)",
),
) as codat_sync_expenses:
res = await codat_sync_expenses.companies.create_async(request={
"name": "Technicalium",
})
# Handle response
print(res)
asyncio.run(main())
Available Resources and Operations
Available methods
Accounts
- create - Create account
- get_create_model - Get create account model
Adjustments
- create - Create adjustment transaction
Attachments
- upload - Upload attachment
BankAccounts
- create - Create bank account
- get_create_model - Get create bank account model
Companies
- create - Create company
- delete - Delete a company
- get - Get company
- list - List companies
- replace - Replace company
- update - Update company
CompanyInfo
- get - Get company info
Configuration
Connections
- create - Create connection
- create_partner_expense_connection - Create partner expense connection
- delete - Delete connection
- get - Get connection
- list - List connections
- unlink - Unlink connection
Customers
Expenses
ManageData
- get - Get data status
- get_pull_operation - Get pull operation
- list_pull_operations - List pull operations
- refresh_all_data_types - Refresh all data
- refresh_data_type - Refresh data type
MappingOptions
- get_mapping_options - Mapping options
PushOperations
Reimbursements
Suppliers
Sync
- get - Get sync status
- get_last_successful_sync - Last successful sync
- get_latest_sync - Latest sync status
- list - List sync statuses
TransactionStatus
Transfers
- create - Create transfer transaction
File uploads
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_sync_for_expenses import CodatSyncExpenses
from codat_sync_for_expenses.models import shared
with CodatSyncExpenses(
security=shared.Security(
auth_header="Basic BASE_64_ENCODED(API_KEY)",
),
) as codat_sync_expenses:
res = codat_sync_expenses.attachments.upload(request={
"company_id": "8a210b68-6988-11ed-a1eb-0242ac120002",
"sync_id": "6fb40d5e-b13e-11ed-afa1-0242ac120002",
"transaction_id": "336694d8-2dca-4cb5-a28d-3ccb83e55eee",
})
# Handle response
print(res)
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 codat_sync_for_expenses import CodatSyncExpenses
from codat_sync_for_expenses.models import shared
from codat_sync_for_expenses.utils import BackoffStrategy, RetryConfig
with CodatSyncExpenses(
security=shared.Security(
auth_header="Basic BASE_64_ENCODED(API_KEY)",
),
) as codat_sync_expenses:
res = codat_sync_expenses.companies.create(request={
"name": "Technicalium",
},
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 codat_sync_for_expenses import CodatSyncExpenses
from codat_sync_for_expenses.models import shared
from codat_sync_for_expenses.utils import BackoffStrategy, RetryConfig
with CodatSyncExpenses(
retry_config=RetryConfig("backoff", BackoffStrategy(1, 50, 1.1, 100), False),
security=shared.Security(
auth_header="Basic BASE_64_ENCODED(API_KEY)",
),
) as codat_sync_expenses:
res = codat_sync_expenses.companies.create(request={
"name": "Technicalium",
})
# Handle response
print(res)
Error Handling
CodatSyncExpensesError 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 codat_sync_for_expenses import CodatSyncExpenses
from codat_sync_for_expenses.models import errors, shared
with CodatSyncExpenses(
security=shared.Security(
auth_header="Basic BASE_64_ENCODED(API_KEY)",
),
) as codat_sync_expenses:
res = None
try:
res = codat_sync_expenses.companies.create(request={
"name": "Technicalium",
})
# Handle response
print(res)
except errors.CodatSyncExpensesError 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.ErrorMessage):
print(e.data.can_be_retried) # Optional[str]
print(e.data.correlation_id) # Optional[str]
print(e.data.detailed_error_code) # Optional[int]
print(e.data.error) # Optional[str]
print(e.data.service) # Optional[str]
Error Classes
Primary errors:
CodatSyncExpensesError: The base class for HTTP error responses.ErrorMessage: Yourqueryparameter was not correctly formed.
Less common errors (5)
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 CodatSyncExpensesError:
ResponseValidationError: Type mismatch between the response data and the expected Pydantic model. Provides access to the Pydantic validation error via thecauseattribute.
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 codat_sync_for_expenses import CodatSyncExpenses
from codat_sync_for_expenses.models import shared
with CodatSyncExpenses(
server_url="https://api.codat.io",
security=shared.Security(
auth_header="Basic BASE_64_ENCODED(API_KEY)",
),
) as codat_sync_expenses:
res = codat_sync_expenses.companies.create(request={
"name": "Technicalium",
})
# 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 codat_sync_for_expenses import CodatSyncExpenses
import httpx
http_client = httpx.Client(headers={"x-custom-header": "someValue"})
s = CodatSyncExpenses(client=http_client)
or you could wrap the client with your own custom logic:
from codat_sync_for_expenses import CodatSyncExpenses
from codat_sync_for_expenses.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 = CodatSyncExpenses(async_client=CustomClient(httpx.AsyncClient()))
Authentication
Per-Client Security Schemes
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_sync_for_expenses import CodatSyncExpenses
from codat_sync_for_expenses.models import shared
with CodatSyncExpenses(
security=shared.Security(
auth_header="Basic BASE_64_ENCODED(API_KEY)",
),
) as codat_sync_expenses:
res = codat_sync_expenses.companies.create(request={
"name": "Technicalium",
})
# Handle response
print(res)
Resource Management
The CodatSyncExpenses 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 codat_sync_for_expenses import CodatSyncExpenses
from codat_sync_for_expenses.models import shared
def main():
with CodatSyncExpenses(
security=shared.Security(
auth_header="Basic BASE_64_ENCODED(API_KEY)",
),
) as codat_sync_expenses:
# Rest of application here...
# Or when using async:
async def amain():
async with CodatSyncExpenses(
security=shared.Security(
auth_header="Basic BASE_64_ENCODED(API_KEY)",
),
) as codat_sync_expenses:
# 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 codat_sync_for_expenses import CodatSyncExpenses
import logging
logging.basicConfig(level=logging.DEBUG)
s = CodatSyncExpenses(debug_logger=logging.getLogger("codat_sync_for_expenses"))
Support
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.
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