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💎 Typed python client for Up's banking API

Project description

Async Up Bank API

This project is a async fork of jcwillox/up-bank-api. I've attempted to keep most things the same but I have changed a fair bit.

If there's any issues please let me know.

Project version Supported python versions License CodeFactor Grade

This is an unofficial python wrapper (client) for the australian bank Up's API.

Installation

$ pip install async-up-bank-api

Usage

The code is fully typed and documented so I'd recommend just having a look at the code, or letting syntax completion take the wheel.

To use this library you will need a personal access token which can be retrieved from https://developer.up.com.au. When using this library you can either provide the token directly or use the environment variable UP_TOKEN.

from upbankapi import Client, NotAuthorizedException
import asyncio

# use the environment variable UP_TOKEN
client = Client()

# or directly provide token
client = Client(token="MY_TOKEN")  

# optionally check the token is valid
async def main():
    try:
        user_id = await client.ping()
        print("Authorized: " + user_id)
    except NotAuthorizedException:
        print("The token is invalid")

if __name__ == '__main__':
    asyncio.get_event_loop().run_until_complete(main())

Examples

Accounts

async def main():
    account: Account
    transaction: Transaction

    # list accounts
    async for account in await client.accounts():
        print(account)

        # list transactions for account
        async for transaction in await account.transactions():
            print(transaction)

if __name__ == '__main__':
    asyncio.get_event_loop().run_until_complete(main())

>>> <Account 'Up Account' (TRANSACTIONAL): 1234.56 AUD>
>>> <Transaction SETTLED: -1.0 AUD [7-Eleven]>
>>> <Account '💰 Savings' (SAVER): 12345.67 AUD>
>>> <Transaction SETTLED: 10.0 AUD [Interest]>
# get the unique id of an account
accounts[1].id
>>> "d7cd1152-e78a-4ad7-8202-d27cddb02a28"

# get a specific account by its unique id
savings = client.account("d7cd1152-e78a-4ad7-8202-d27cddb02a28")
savings
>>> <Account '💰 Savings' (SAVER): 12345.67 AUD>
savings.balance
>>> 12345.67

Transactions

Get transactions across all accounts.

>>> list( await client.transactions() )
[<Transaction SETTLED: -1.0 AUD [7-Eleven]>, <Transaction SETTLED: 10.0 AUD [Interest]>]

Get last 5 transactions for a given account id.

SAVINGS_ID = "d7cd1152-e78a-4ad7-8202-d27cddb02a28"

list( await client.account(SAVINGS_ID).transactions(limit=5) )
>>> [<Transaction SETTLED: 10.0 AUD [Interest]>]

list( await client.transactions(account_id=SAVINGS_ID, limit=5) )
>>> [<Transaction SETTLED: 10.0 AUD [Interest]>]

Get a specific transaction.

await client.transaction("17c577f2-ae8e-4622-90a7-87d95094c2a9")
>>> <Transaction SETTLED: -1.0 AUD [7-Eleven]>

Pagination

Up's API uses pagination, this means methods in this library that return more than one record with pagination sported will return a instance inheriting from Pagination. This is effectively just an async iterator.

Every page_size records the instance of Pagination will make a request for the next page_size records asynchronous.

A limit can be used to limit the maximum number of records returned, when a limit is specified the iterator will never return more than limit but can return less. Using limit=None will return all records.

transactions = await client.transactions(limit=5)

async for transaction in transactions:
    print(transactions)

print(list( transactions ))
>>> [<Transaction SETTLED: -1.0 AUD [7-Eleven]>, <Transaction SETTLED: 10.0 AUD [Interest]>]

Pagination supports slicing, it still returns an iterator and will fetch the records as required.

transactions = await client.transactions(limit=20)
list( transactions[10:20] )
>>> [<Transaction ...>, ...]

Note that while it may appear the slice [:limit] has the same effect as specifying a limit, it does not, when you specify a limit the code optimises the page size. For example, using the slice [:5] will fetch the first 20 records and return only 5, using limit=5 it will fetch and return the first 5 records. However, if you manually specify page_size=5 then both options have the same effect.

Webhooks

List users webhooks

list( await client.webhooks() )
>>> [<Webhook '1c3a4fd4-6c57-4aa8-8481-cf31a46bc001': https://mywebhook.tld/c2f89ed40e26c936 (Hello World!)>]

Get a specific webhook

await client.webhook("1c3a4fd4-6c57-4aa8-8481-cf31a46bc001")
# or equivalently
await client.webhook.get("1c3a4fd4-6c57-4aa8-8481-cf31a46bc001")
>>> <Webhook '1c3a4fd4-6c57-4aa8-8481-cf31a46bc001': https://mywebhook.tld/c2f89ed40e26c936 (Hello World!)>

Create a webhook

await client.webhook.create("https://mywebhook.tld/c2f89ed40e26c936", description="Hello World!")
>>> <Webhook '1c3a4fd4-6c57-4aa8-8481-cf31a46bc001': https://mywebhook.tld/c2f89ed40e26c936 (Hello World!)>

Interacting with a webhook

webhook = await client.webhook("1c3a4fd4-6c57-4aa8-8481-cf31a46bc001")

# ping the webhook
await webhook.ping()
>>> <WebhookEvent PING: webhook_id='1c3a4fd4-6c57-4aa8-8481-cf31a46bc001'>

# get the webhooks logs
list( await webhook.logs() )
>>> [<WebhookLog BAD_RESPONSE_CODE: response_code=404>]

# get the event associated with a log entry
await webhook.logs()[0].event
>>> <WebhookEvent PING: webhook_id='1c3a4fd4-6c57-4aa8-8481-cf31a46bc001'>

# delete the webhook
await webhook.delete()

When interacting with with a specific webhook there are two options.

For example the two code blocks below have the same result (deleting the webhook), however, the first option uses 2 requests and the second option uses only 1 request. This is because option 1 will request the webhook details, and then send the delete request. Option 2 directly sends the delete request.

# Option 1
await client.webhook("1c3a4fd4-6c57-4aa8-8481-cf31a46bc001").delete()
# Option 2
await client.webhook.delete("1c3a4fd4-6c57-4aa8-8481-cf31a46bc001")

Each option can be useful depending on the use case. Option 2 is primarily useful when do not already have the Webhook object but have the id and only want to perform a single action.

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