Metadata-Version: 2.1
Name: starkbank
Version: 2.19.0
Summary: SDK to facilitate Python integrations with Stark Bank
Home-page: https://github.com/starkbank/sdk-python
Author: Stark Bank
Author-email: developers@starkbank.com
License: MIT License
Keywords: stark bank,starkbank,sdk,open banking,openbanking,banking,open,stark
Platform: UNKNOWN
Description-Content-Type: text/markdown
License-File: LICENSE.txt

# Stark Bank Python SDK

Welcome to the Stark Bank Python SDK! This tool is made for Python 
developers who want to easily integrate with our API.
This SDK version is compatible with the Stark Bank API v2.

If you have no idea what Stark Bank is, check out our [website](https://www.starkbank.com/) 
and discover a world where receiving or making payments 
is as easy as sending a text message to your client!

# Introduction

## Index

- [Introduction](#introduction)
    - [Supported Python versions](#supported-python-versions)
    - [API documentation](#stark-bank-api-documentation)
    - [Versioning](#versioning)
- [Setup](#setup)
    - [Install our SDK](#1-install-our-sdk)
    - [Create your Private and Public Keys](#2-create-your-private-and-public-keys)
    - [Register your user credentials](#3-register-your-user-credentials)
    - [Setting up the user](#4-setting-up-the-user)
    - [Setting up the error language](#5-setting-up-the-error-language)
- [Resource listing and manual pagination](#resource-listing-and-manual-pagination)
- [Testing in Sandbox](#testing-in-sandbox) 
- [Usage](#usage)
    - [Transactions](#create-transactions): Account statement entries
    - [Balance](#get-balance): Account balance
    - [Transfers](#create-transfers): Wire transfers (TED and manual Pix)
    - [DictKeys](#get-dict-key): Pix Key queries to use with Transfers
    - [Institutions](#query-bacen-institutions): Institutions recognized by the Central Bank
    - [Invoices](#create-invoices): Reconciled receivables (dynamic Pix QR Codes)
    - [DynamicBrcode](#create-dynamicbrcodes): Simplified reconciled receivables (dynamic Pix QR Codes)
    - [Deposits](#query-deposits): Other cash-ins (static Pix QR Codes, DynamicBrcodes, manual Pix, etc)
    - [Boletos](#create-boletos): Boleto receivables
    - [BoletoHolmes](#investigate-a-boleto): Boleto receivables investigator
    - [BrcodePayments](#pay-a-br-code): Pay Pix QR Codes
    - [BoletoPayments](#pay-a-boleto): Pay Boletos
    - [UtilityPayments](#create-utility-payments): Pay Utility bills (water, light, etc.)
    - [TaxPayments](#create-tax-payment): Pay taxes
    - [DarfPayments](#create-darf-payment): Pay DARFs
    - [PaymentPreviews](#preview-payment-information-before-executing-the-payment): Preview all sorts of payments
    - [PaymentRequest](#create-payment-requests-to-be-approved-by-authorized-people-in-a-cost-center): Request a payment approval to a cost center
    - [CorporateHolders](#create-corporateholders): Manage cardholders
    - [CorporateCards](#create-corporatecards): Create virtual and/or physical cards
    - [CorporateInvoices](#create-corporateinvoices): Add money to your corporate balance
    - [CorporateWithdrawals](#create-corporatewithdrawals): Send money back to your Workspace from your corporate balance
    - [CorporateBalance](#get-your-corporatebalance): View your corporate balance
    - [CorporateTransactions](#query-corporatetransactions): View the transactions that have affected your corporate balance
    - [CorporateEnums](#corporate-enums): Query enums related to the corporate purchases, such as merchant categories, countries and card purchase methods
    - [Webhooks](#create-a-webhook-subscription): Configure your webhook endpoints and subscriptions
    - [WebhookEvents](#process-webhook-events): Manage webhook events
    - [WebhookEventAttempts](#query-failed-webhook-event-delivery-attempts-information): Query failed webhook event deliveries
    - [Workspaces](#create-a-new-workspace): Manage your accounts
- [Handling errors](#handling-errors)
- [Help and Feedback](#help-and-feedback)

## Supported Python Versions

This library supports the following Python versions:

* Python 2.7
* Python 3.4+

## Stark Bank API documentation

Feel free to take a look at our [API docs](https://www.starkbank.com/docs/api).

## Versioning

This project adheres to the following versioning pattern:

Given a version number MAJOR.MINOR.PATCH, increment:

- MAJOR version when the **API** version is incremented. This may include backwards incompatible changes;
- MINOR version when **breaking changes** are introduced OR **new functionalities** are added in a backwards compatible manner;
- PATCH version when backwards compatible bug **fixes** are implemented.

# Setup

## 1. Install our SDK

1.1 To install the package with pip, run:

```sh
pip install starkbank
```

1.2 To install from source, clone the repo and run:

```sh
python setup.py install
```

## 2. Create your Private and Public Keys

We use ECDSA. That means you need to generate a secp256k1 private
key to sign your requests to our API, and register your public key
with us so we can validate those requests.

You can use one of following methods:

2.1. Check out the options in our [tutorial](https://starkbank.com/faq/how-to-create-ecdsa-keys).

2.2. Use our SDK:

```python
import starkbank

privateKey, publicKey = starkbank.key.create()

# or, to also save .pem files in a specific path
privateKey, publicKey = starkbank.key.create("file/keys/")
```

**NOTE**: When you are creating new credentials, it is recommended that you create the
keys inside the infrastructure that will use it, in order to avoid risky internet
transmissions of your **private-key**. Then you can export the **public-key** alone to the
computer where it will be used in the new Project creation.

## 3. Register your user credentials

You can interact directly with our API using two types of users: Projects and Organizations.

- **Projects** are workspace-specific users, that is, they are bound to the workspaces they are created in.
One workspace can have multiple Projects.
- **Organizations** are general users that control your entire organization.
They can control all your Workspaces and even create new ones. The Organization is bound to your company's tax ID only.
Since this user is unique in your entire organization, only one credential can be linked to it.

3.1. To create a Project in Sandbox:

3.1.1. Log into [Starkbank Sandbox](https://web.sandbox.starkbank.com)

3.1.2. Go to Menu > Integrations

3.1.3. Click on the "New Project" button

3.1.4. Create a Project: Give it a name and upload the public key you created in section 2

3.1.5. After creating the Project, get its Project ID

3.1.6. Use the Project ID and private key to create the object below:

```python
import starkbank

# Get your private key from an environment variable or an encrypted database.
# This is only an example of a private key content. You should use your own key.
private_key_content = """
-----BEGIN EC PARAMETERS-----
BgUrgQQACg==
-----END EC PARAMETERS-----
-----BEGIN EC PRIVATE KEY-----
MHQCAQEEIMCwW74H6egQkTiz87WDvLNm7fK/cA+ctA2vg/bbHx3woAcGBSuBBAAK
oUQDQgAE0iaeEHEgr3oTbCfh8U2L+r7zoaeOX964xaAnND5jATGpD/tHec6Oe9U1
IF16ZoTVt1FzZ8WkYQ3XomRD4HS13A==
-----END EC PRIVATE KEY-----
"""

project = starkbank.Project(
    environment="sandbox",
    id="5656565656565656",
    private_key=private_key_content
)
```

3.2. To create Organization credentials in Sandbox:

3.2.1. Log into [Starkbank Sandbox](https://web.sandbox.starkbank.com)

3.2.2. Go to Menu > Integrations

3.2.3. Click on the "Organization public key" button

3.2.4. Upload the public key you created in section 2 (only a legal representative of the organization can upload the public key)

3.2.5. Click on your profile picture and then on the "Organization" menu to get the Organization ID

3.2.6. Use the Organization ID and private key to create the object below:

```python
import starkbank

# Get your private key from an environment variable or an encrypted database.
# This is only an example of a private key content. You should use your own key.
private_key_content = """
-----BEGIN EC PARAMETERS-----
BgUrgQQACg==
-----END EC PARAMETERS-----
-----BEGIN EC PRIVATE KEY-----
MHQCAQEEIMCwW74H6egQkTiz87WDvLNm7fK/cA+ctA2vg/bbHx3woAcGBSuBBAAK
oUQDQgAE0iaeEHEgr3oTbCfh8U2L+r7zoaeOX964xaAnND5jATGpD/tHec6Oe9U1
IF16ZoTVt1FzZ8WkYQ3XomRD4HS13A==
-----END EC PRIVATE KEY-----
"""

organization = starkbank.Organization(
    environment="sandbox",
    id="5656565656565656",
    private_key=private_key_content,
    workspace_id=None,  # You only need to set the workspace_id when you are operating a specific workspace_id
)

# To dynamically use your organization credentials in a specific workspace_id,
# you can use the Organization.replace() function:
starkbank.balance.get(user=starkbank.Organization.replace(organization, "4848484848484848"))
```

NOTE 1: Never hard-code your private key. Get it from an environment variable or an encrypted database.

NOTE 2: We support `'sandbox'` and `'production'` as environments.

NOTE 3: The credentials you registered in `sandbox` do not exist in `production` and vice versa.


## 4. Setting up the user

There are three kinds of users that can access our API: **Organization**, **Project** and **Member**.

- `Project` and `Organization` are designed for integrations and are the ones meant for our SDKs.
- `Member` is the one you use when you log into our webpage with your e-mail.

There are two ways to inform the user to the SDK:

4.1 Passing the user as argument in all functions:

```python
import starkbank

balance = starkbank.balance.get(user=project)  # or organization
```

4.2 Set it as a default user in the SDK:

```python
import starkbank

starkbank.user = project  # or organization

balance = starkbank.balance.get()
```

Just select the way of passing the user that is more convenient to you.
On all following examples we will assume a default user has been set.

## 5. Setting up the error language

The error language can also be set in the same way as the default user:

```python
import starkbank

starkbank.language = "en-US"
```

Language options are "en-US" for english and "pt-BR" for brazilian portuguese. English is default.

# Resource listing and manual pagination

Almost all SDK resources provide a `query` and a `page` function.

- The `query` function provides a straight forward way to efficiently iterate through all results that match the filters you inform,
seamlessly retrieving the next batch of elements from the API only when you reach the end of the current batch.
If you are not worried about data volume or processing time, this is the way to go.

```python
import starkbank

for transaction in starkbank.transaction.query(limit=200):
    print(transaction)
```

- The `page` function gives you full control over the API pagination. With each function call, you receive up to
100 results and the cursor to retrieve the next batch of elements. This allows you to stop your queries and
pick up from where you left off whenever it is convenient. When there are no more elements to be retrieved, the returned cursor will be `None`.

```python
import starkbank

cursor = None
while True:
    transactions, cursor = starkbank.transaction.page(limit=50, cursor=cursor)
    for transaction in transactions:
        print(transaction)
    if cursor is None:
        break
```

To simplify the following SDK examples, we will only use the `query` function, but feel free to use `page` instead.

# Testing in Sandbox

Your initial balance is zero. For many operations in Stark Bank, you'll need funds
in your account, which can be added to your balance by creating an Invoice or a Boleto. 

In the Sandbox environment, most of the created Invoices and Boletos will be automatically paid,
so there's nothing else you need to do to add funds to your account. Just create
a few Invoices and wait around a bit.

In Production, you (or one of your clients) will need to actually pay this Invoice or Boleto
for the value to be credited to your account.


# Usage

Here are a few examples on how to use the SDK. If you have any doubts, use the built-in
`help()` function to get more info on the desired functionality
(for example: `help(starkbank.boleto.create)`)

## Create transactions

To send money between Stark Bank accounts, you can create transactions:

```python
import starkbank

transactions = starkbank.transaction.create([
    starkbank.Transaction(
        amount=100,  # (R$ 1.00)
        receiver_id="1029378109327810",
        description="Transaction to dear provider",
        external_id="12345",  # so we can block anything you send twice by mistake
        tags=["provider"]
    ),
    starkbank.Transaction(
        amount=234,  # (R$ 2.34)
        receiver_id="2093029347820947",
        description="Transaction to the other provider",
        external_id="12346",  # so we can block anything you send twice by mistake
        tags=["provider"]
    ),
])

for transaction in transactions:
    print(transaction)
```

**Note**: Instead of using Transaction objects, you can also pass each transaction element in dictionary format

## Query transactions

To understand your balance changes (bank statement), you can query
transactions. Note that our system creates transactions for you when
you receive boleto payments, pay a bill or make transfers, for example.

```python
import starkbank

transactions = starkbank.transaction.query(
    after="2020-01-01",
    before="2020-03-01"
)

for transaction in transactions:
    print(transaction)
```

## Get a transaction

You can get a specific transaction by its id:

```python
import starkbank

transaction = starkbank.transaction.get("5155165527080960")

print(transaction)
```

## Get balance

To know how much money you have in your workspace, run:

```python
import starkbank

balance = starkbank.balance.get()

print(balance)
```

## Create transfers

You can also create transfers in the SDK (TED/Pix) and configure transfer behavior according to its rules.

```python
import starkbank
from datetime import datetime, timedelta

transfers = starkbank.transfer.create([
    starkbank.Transfer(
        amount=100,
        bank_code="033",  # TED
        branch_code="0001",
        account_number="10000-0",
        tax_id="012.345.678-90",
        name="Tony Stark",
        tags=["iron", "suit"]
    ),
    starkbank.Transfer(
        amount=200,
        bank_code="20018183",  # Pix
        branch_code="1234",
        account_number="123456-7",
        account_type="salary",
        external_id="my-internal-id-12345",
        tax_id="012.345.678-90",
        name="Jon Snow",
        scheduled=datetime.utcnow() + timedelta(days=3),
        rules=[
            starkbank.transfer.Rule(
              key="resendingLimit",  # Set maximum number of retries if Transfer fails due to systemic issues at the receiver bank
              value=5                # Our resending limit is 10 by default
            ) 
        ] 
    )
])

for transfer in transfers:
    print(transfer)
```

**Note**: Instead of using Transfer objects, you can also pass each transfer element in dictionary format

## Query transfers

You can query multiple transfers according to filters.

```python
import starkbank
from datetime import datetime

transfers = starkbank.transfer.query(
    after=datetime(2020, 1, 1),
    before=datetime(2020, 4, 1)
)

for transfer in transfers:
    print(transfer.name)
```

## Cancel a scheduled transfer

To cancel a single scheduled transfer by its id, run:

```python
import starkbank

transfer = starkbank.transfer.delete("5155165527080960")

print(transfer)
```

## Get a transfer

To get a single transfer by its id, run:

```python
import starkbank

transfer = starkbank.transfer.get("5155165527080960")

print(transfer)
```

## Get a transfer PDF

A transfer PDF may also be retrieved by its id.
This operation is only valid if the transfer status is "processing" or "success". 

```python
import starkbank

pdf = starkbank.transfer.pdf("5155165527080960")

with open("transfer.pdf", "wb") as file:
    file.write(pdf)
```

Be careful not to accidentally enforce any encoding on the raw pdf content,
as it may yield abnormal results in the final file, such as missing images
and strange characters.

## Query transfer logs

You can query transfer logs to better understand transfer life cycles.

```python
import starkbank

logs = starkbank.transfer.log.query(limit=50)

for log in logs:
    print(log.id)
```

## Get a transfer log

You can also get a specific log by its id.

```python
import starkbank

log = starkbank.transfer.log.get("5155165527080960")

print(log)
```

## Get DICT key

You can get the Pix key's parameters by its id.

```python
import starkbank

dict_key = starkbank.dictkey.get("tony@starkbank.com")

print(dict_key)
```

## Query your DICT keys

To take a look at the Pix keys linked to your workspace, just run the following:

```python
import starkbank

dict_keys = starkbank.dictkey.query(status="registered")

for dict_key in dict_keys:
    print(dict_key)
```

## Query Bacen institutions

You can query institutions registered by the Brazilian Central Bank for Pix and TED transactions.

```python
import starkbank

institutions = starkbank.institution.query(search="stark")

for institution in institutions:
    print(institution)
```

## Create invoices

You can create dynamic QR Code invoices to charge customers or to receive money from accounts you have in other banks. 

Since the banking system only understands value modifiers (discounts, fines and interest) when dealing with **dates** (instead of **datetimes**), these values will only show up in the end user banking interface if you use **dates** in the "due" and "discounts" fields. 

If you use **datetimes** instead, our system will apply the value modifiers in the same manner, but the end user will only see the final value to be paid on his interface.

Also, other banks will most likely only allow payment scheduling on invoices defined with **dates** instead of **datetimes**.

```python
# coding: utf-8
import starkbank
from datetime import date, datetime, timedelta


invoices = starkbank.invoice.create([
    starkbank.Invoice(
        amount=23571,  # R$ 235,71 
        name="Buzz Aldrin",
        tax_id="012.345.678-90", 
        due=datetime.utcnow() + timedelta(hours=1),
        expiration=timedelta(hours=3).total_seconds(),
        fine=5,  # 5%
        interest=2.5,  # 2.5% per month
        tags=["immediate"]
    ),
    starkbank.Invoice(
        amount=23571,  # R$ 235,71 
        name="Buzz Aldrin",
        tax_id="012.345.678-90", 
        due=date(2022, 3, 20),
        expiration=timedelta(hours=3).total_seconds(),
        fine=5,  # 5%
        interest=2.5,  # 2.5% per month
        tags=["scheduled"]
    )
])

for invoice in invoices:
    print(invoice)
```

**Note**: Instead of using Invoice objects, you can also pass each invoice element in dictionary format

## Get an invoice

After its creation, information on an invoice may be retrieved by its id. 
Its status indicates whether it's been paid.

```python
import starkbank

invoice = starkbank.invoice.get("5155165527080960")

print(invoice)
```

## Get an invoice PDF

After its creation, an invoice PDF may be retrieved by its id. 

```python
import starkbank

pdf = starkbank.invoice.pdf("5155165527080960", layout="default")

with open("invoice.pdf", "wb") as file:
    file.write(pdf)
```

Be careful not to accidentally enforce any encoding on the raw pdf content,
as it may yield abnormal results in the final file, such as missing images
and strange characters.

## Get an invoice QR Code 

After its creation, an Invoice QR Code may be retrieved by its id. 

```python
import starkbank

qrcode = starkbank.invoice.qrcode("5881614903017472", size= 15)

with open("qrcode.png", "wb") as file:
    file.write(qrcode)
```

Be careful not to accidentally enforce any encoding on the raw png content,
as it may corrupt the file.

## Cancel an invoice

You can also cancel an invoice by its id.
Note that this is not possible if it has been paid already.

```python
import starkbank

invoice = starkbank.invoice.update("5155165527080960", status="canceled")

print(invoice)
```

## Update an invoice

You can update an invoice's amount, due date and expiration by its id.
If the invoice has already been paid, only the amount can be
decreased, which will result in a payment reversal. To fully reverse 
the invoice, pass amount = 0.

```python
import starkbank
from datetime import datetime, timedelta

invoice = starkbank.invoice.update(
    "5155165527080960",
    amount=100,
    expiration=0,
    due=datetime.utcnow() + timedelta(hours=1),
)

print(invoice)
```

## Query invoices

You can get a list of created invoices given some filters.

```python
import starkbank
from datetime import datetime

invoices = starkbank.invoice.query(
    after=datetime(2020, 1, 1),
    before=datetime(2020, 3, 1)
)

for invoice in invoices:
    print(invoice)
```

## Query invoice logs

Logs are pretty important to understand the life cycle of an invoice.

```python
import starkbank

logs = starkbank.invoice.log.query(limit=150)

for log in logs:
    print(log)
```

## Get an invoice log

You can get a single log by its id.

```python
import starkbank

log = starkbank.invoice.log.get("5155165527080960")

print(log)
```

## Get a reversed invoice log PDF

Whenever an Invoice is successfully reversed, a reversed log will be created. 
To retrieve a specific reversal receipt, you can request the corresponding log PDF:

```python
import starkbank

pdf = starkbank.invoice.log.pdf("5155165527080960")

with open("invoice-reversal.pdf", "wb") as file:
    file.write(pdf)
```

Be careful not to accidentally enforce any encoding on the raw pdf content,
as it may yield abnormal results in the final file, such as missing images
and strange characters.

## Get an invoice payment information

Once an invoice has been paid, you can get the payment information using the Invoice.Payment sub-resource:

```python
import starkbank

paymentInformation = starkbank.invoice.payment("5155165527080960")

print(paymentInformation)
```

## Create DynamicBrcodes

You can create simplified dynamic QR Codes to receive money using Pix transactions. 
When a DynamicBrcode is paid, a Deposit is created with the tags parameter containing the character “dynamic-brcode/” followed by the DynamicBrcode’s uuid "dynamic-brcode/{uuid}" for conciliation.

The differences between an Invoice and the DynamicBrcode are the following:

|                       | Invoice | DynamicBrcode |
|-----------------------|:-------:|:-------------:|
| Expiration            |    ✓    |       ✓       | 
| Can only be paid once |    ✓    |       ✓       |
| Due, fine and fee     |    ✓    |       X       | 
| Discount              |    ✓    |       X       | 
| Description           |    ✓    |       X       |
| Can be updated        |    ✓    |       X       |

**Note:** In order to check if a BR code has expired, you must first calculate its expiration date (add the expiration to the creation date). 
**Note:** To know if the BR code has been paid, you need to query your Deposits by the tag "dynamic-brcode/{uuid}" to check if it has been paid.

```python
# coding: utf-8
import starkbank
from datetime import timedelta


brcodes = starkbank.dynamicbrcode.create([
    starkbank.DynamicBrcode(
      amount=23571,  # R$ 235,71 
      expiration=timedelta(hours=3).total_seconds()
    ),
    starkbank.DynamicBrcode(
      amount=23571,  # R$ 235,71 
      expiration=timedelta(hours=3).total_seconds()
    )
])

for brcode in brcodes:
    print(brcode)
```

**Note**: Instead of using DynamicBrcode objects, you can also pass each brcode element in dictionary format

## Get a DynamicBrcode

After its creation, information on a DynamicBrcode may be retrieved by its uuid.

```python
import starkbank

brcode = starkbank.dynamicbrcode.get("bb9cd43ea6f4403391bf7ef6aa876600")

print(brcode)
```

## Query DynamicBrcodes

You can get a list of created DynamicBrcodes given some filters.

```python
import starkbank
from datetime import datetime

brcodes = starkbank.dynamicbrcode.query(
    after=datetime(2023, 1, 1),
    before=datetime(2023, 3, 1)
)

for brcode in brcodes:
    print(brcode)
```

## Query deposits

You can get a list of created deposits given some filters.

```python
import starkbank
from datetime import datetime

deposits = starkbank.deposit.query(
    after=datetime(2020, 1, 1),
    before=datetime(2020, 3, 1)
)

for deposit in deposits:
    print(deposit)
```

## Get a deposit

After its creation, information on a deposit may be retrieved by its id. 

```python
import starkbank

deposit = starkbank.deposit.get("5155165527080960")

print(deposit)
```

## Query deposit logs

Logs are pretty important to understand the life cycle of a deposit.

```python
import starkbank

logs = starkbank.deposit.log.query(limit=150)

for log in logs:
    print(log)
```

## Get a deposit log

You can get a single log by its id.

```python
import starkbank

log = starkbank.deposit.log.get("5155165527080960")

print(log)
```

## Create boletos

You can create boletos to charge customers or to receive money from accounts
you have in other banks.

```python
# coding: utf-8
import starkbank
from datetime import datetime


boletos = starkbank.boleto.create([
    starkbank.Boleto(
        amount=23571,  # R$ 235,71 
        name="Buzz Aldrin",
        tax_id="012.345.678-90", 
        street_line_1="Av. Paulista, 200", 
        street_line_2="10 andar",
        district="Bela Vista", 
        city="São Paulo",
        state_code="SP",
        zip_code="01310-000",
        due=datetime(2020, 3, 20),
        fine=5,  # 5%
        interest=2.5,  # 2.5% per month
    ),
])

for boleto in boletos:
    print(boleto)
```

**Note**: Instead of using Boleto objects, you can also pass each boleto element in dictionary format

## Get a boleto

After its creation, information on a boleto may be retrieved by its id. 
Its status indicates whether it's been paid.

```python
import starkbank

boleto = starkbank.boleto.get("5155165527080960")

print(boleto)
```

## Get a boleto PDF

After its creation, a boleto PDF may be retrieved by its id. 

```python
import starkbank

pdf = starkbank.boleto.pdf("5155165527080960", layout="default")

with open("boleto.pdf", "wb") as file:
    file.write(pdf)
```

Be careful not to accidentally enforce any encoding on the raw pdf content,
as it may yield abnormal results in the final file, such as missing images
and strange characters.

## Delete a boleto

You can also cancel a boleto by its id.
Note that this is not possible if it has been processed already.

```python
import starkbank

boleto = starkbank.boleto.delete("5155165527080960")

print(boleto)
```

## Query boletos

You can get a list of created boletos given some filters.

```python
import starkbank
from datetime import datetime

boletos = starkbank.boleto.query(
    after=datetime(2020, 1, 1),
    before=datetime(2020, 3, 1)
)

for boleto in boletos:
    print(boleto)
```

## Query boleto logs

Logs are pretty important to understand the life cycle of a boleto.

```python
import starkbank

logs = starkbank.boleto.log.query(limit=150)

for log in logs:
    print(log)
```

## Get a boleto log

You can get a single log by its id.

```python
import starkbank

log = starkbank.boleto.log.get("5155165527080960")

print(log)
```

## Investigate a boleto

You can discover if a StarkBank boleto has been recently paid before we receive the response on the next day.
This can be done by creating a BoletoHolmes object, which fetches the updated status of the corresponding
Boleto object according to CIP to check, for example, whether it is still payable or not. The investigation
happens asynchronously and the most common way to retrieve the results is to register a "boleto-holmes" webhook
subscription, although polling is also possible. 

```python
import starkbank

holmes = starkbank.boletoholmes.create([
    starkbank.BoletoHolmes(
        boleto_id="5656565656565656",
    ),
    starkbank.BoletoHolmes(
        boleto_id="4848484848484848",
    ),
])

for sherlock in holmes:
    print(sherlock)
```

**Note**: Instead of using BoletoHolmes objects, you can also pass each payment element in dictionary format

## Get a boleto holmes

To get a single Holmes by its id, run:

```python
import starkbank

sherlock = starkbank.boletoholmes.get("19278361897236187236")

print(sherlock)
```

## Query boleto holmes

You can search for boleto Holmes using filters. 

```python
import starkbank

holmes = starkbank.boletoholmes.query(
    tags=["customer_1", "customer_2"]
)

for sherlock in holmes:
    print(sherlock)
```

## Query boleto holmes logs

Searches are also possible with boleto holmes logs:

```python
import starkbank

logs = starkbank.boletoholmes.log.query(
    holmes_ids=["5155165527080960", "76551659167801921"],
)

for log in logs:
    print(log)
```


## Get a boleto holmes log

You can also get a boleto holmes log by specifying its id.

```python
import starkbank

log = starkbank.boletoholmes.log.get("5155165527080960")

print(log)
```

## Pay a BR Code

Paying a BR Code is also simple. After extracting the BR Code encoded in the Pix QR Code, you can do the following:

```python
import starkbank

payments = starkbank.brcodepayment.create([
    starkbank.BrcodePayment(
        brcode="00020126580014br.gov.bcb.pix0136a629532e-7693-4846-852d-1bbff817b5a8520400005303986540510.005802BR5908T'Challa6009Sao Paulo62090505123456304B14A",
        tax_id="012.345.678-90",
        scheduled="2020-03-13",
        description="this will be fast",
        tags=["pix", "qrcode"],
        rules=[
            starkbank.brcodepayment.Rule(
              key="resendingLimit",  # Set maximum number of retries if Payment fails due to systemic issues at the receiver bank
              value=5                # Our resending limit is 10 by default
            ) 
        ]
    )
])

for payment in payments:
    print(payment)
```
**Note**: You can also configure payment behavior according to its rules
**Note**: Instead of using BrcodePayment objects, you can also pass each payment element in dictionary format

## Get a BR Code payment

To get a single BR Code payment by its id, run:

```python
import starkbank

payment = starkbank.brcodepayment.get("19278361897236187236")

print(payment)
```

## Get a BR Code payment PDF

After its creation, a BR Code payment PDF may be retrieved by its id. 

```python
import starkbank

pdf = starkbank.brcodepayment.pdf("5155165527080960")

with open("brcode-payment.pdf", "wb") as file:
    file.write(pdf)
```

Be careful not to accidentally enforce any encoding on the raw pdf content,
as it may yield abnormal results in the final file, such as missing images
and strange characters.

## Cancel a BR Code payment

You can cancel a BR Code payment by changing its status to "canceled".
Note that this is not possible if it has been processed already.

```python
import starkbank
from datetime import datetime, timedelta

payment = starkbank.brcodepayment.update(
    "5155165527080960",
    status="canceled"
)

print(payment)
```

## Query BR Code payments

You can search for brcode payments using filters. 

```python
import starkbank

payments = starkbank.brcodepayment.query(
    tags=["company_1", "company_2"]
)

for payment in payments:
    print(payment)
```

## Query BR Code payment logs

Searches are also possible with BR Code payment logs:

```python
import starkbank

logs = starkbank.brcodepayment.log.query(
    payment_ids=["5155165527080960", "76551659167801921"],
)

for log in logs:
    print(log)
```


## Get a BR Code payment log

You can also get a BR Code payment log by specifying its id.

```python
import starkbank

log = starkbank.brcodepayment.log.get("5155165527080960")

print(log)
```


## Pay a boleto

Paying a boleto is also simple.

```python
import starkbank

payments = starkbank.boletopayment.create([
    starkbank.BoletoPayment(
        line="34191.09008 61207.727308 71444.640008 5 81310001234321",
        tax_id="012.345.678-90",
        scheduled="2020-03-13",
        description="take my money",
        tags=["take", "my", "money"],
    ),
    starkbank.BoletoPayment(
        bar_code="34197819200000000011090063609567307144464000",
        tax_id="012.345.678-90",
        scheduled="2020-03-14",
        description="take my money one more time",
        tags=["again"],
    ),
])

for payment in payments:
    print(payment)
```

**Note**: Instead of using BoletoPayment objects, you can also pass each payment element in dictionary format

## Get a boleto payment

To get a single boleto payment by its id, run:

```python
import starkbank

payment = starkbank.boletopayment.get("19278361897236187236")

print(payment)
```

## Get a boleto payment PDF

After its creation, a boleto payment PDF may be retrieved by its id. 

```python
import starkbank

pdf = starkbank.boletopayment.pdf("5155165527080960")

with open("boleto-payment.pdf", "wb") as file:
    file.write(pdf)
```

Be careful not to accidentally enforce any encoding on the raw pdf content,
as it may yield abnormal results in the final file, such as missing images
and strange characters.

## Delete a boleto payment

You can also cancel a boleto payment by its id.
Note that this is not possible if it has been processed already.

```python
import starkbank

payment = starkbank.boletopayment.delete("5155165527080960")

print(payment)
```

## Query boleto payments

You can search for boleto payments using filters. 

```python
import starkbank

payments = starkbank.boletopayment.query(
    tags=["company_1", "company_2"]
)

for payment in payments:
    print(payment)
```

## Query boleto payment logs

Searches are also possible with boleto payment logs:

```python
import starkbank

logs = starkbank.boletopayment.log.query(
    payment_ids=["5155165527080960", "76551659167801921"],
)

for log in logs:
    print(log)
```

## Get a boleto payment log

You can also get a boleto payment log by specifying its id.

```python
import starkbank

log = starkbank.boletopayment.log.get("5155165527080960")

print(log)
```

## Create utility payments

Its also simple to pay utility bills (such as electricity and water bills) in the SDK.

```python
import starkbank

payments = starkbank.utilitypayment.create([
    starkbank.UtilityPayment(
        line="34197819200000000011090063609567307144464000",
        scheduled="2020-03-13",
        description="take my money",
        tags=["take", "my", "money"],
    ),
    starkbank.UtilityPayment(
        bar_code="34191.09008 61207.727308 71444.640008 5 81310001234321",
        scheduled="2020-03-14",
        description="take my money one more time",
        tags=["again"],
    ),
])

for payment in payments:
    print(payment)
```

**Note**: Instead of using UtilityPayment objects, you can also pass each payment element in dictionary format

## Query utility payments

To search for utility payments using filters, run:

```python
import starkbank

payments = starkbank.utilitypayment.query(
    tags=["electricity", "gas"]
)

for payment in payments:
    print(payment)
```

## Get a utility payment

You can get a specific bill by its id:

```python
import starkbank

payment = starkbank.utilitypayment.get("5155165527080960")

print(payment)
```

## Get a utility payment PDF

After its creation, a utility payment PDF may also be retrieved by its id. 

```python
import starkbank

pdf = starkbank.utilitypayment.pdf("5155165527080960")

with open("electricity-payment.pdf", "wb") as file:
    file.write(pdf)
```

Be careful not to accidentally enforce any encoding on the raw pdf content,
as it may yield abnormal results in the final file, such as missing images
and strange characters.

## Delete a utility payment

You can also cancel a utility payment by its id.
Note that this is not possible if it has been processed already.

```python
import starkbank

payment = starkbank.utilitypayment.delete("5155165527080960")

print(payment)
```

## Query utility payment logs

You can search for payments by specifying filters. Use this to understand the
bills life cycles.

```python
import starkbank

logs = starkbank.utilitypayment.log.query(
    payment_ids=["102893710982379182", "92837912873981273"],
)

for log in logs:
    print(log)
```

## Get a utility payment log

If you want to get a specific payment log by its id, just run:

```python
import starkbank

log = starkbank.utilitypayment.log.get("1902837198237992")

print(log)
```

## Create tax payment

It is also simple to pay taxes (such as ISS and DAS) using this SDK.

```python
import starkbank

payments = starkbank.taxpayment.create([
    starkbank.TaxPayment(
        bar_code="83660000001084301380074119002551100010601813",
        scheduled="2020-08-13",
        description="fix the road",
        tags=["take", "my", "money"],
    ),
    starkbank.TaxPayment(
        line="85800000003 0 28960328203 1 56072020190 5 22109674804 0",
        scheduled="2020-08-14",
        description="build the hospital, hopefully",
        tags=["expensive"],
    ),
])

for payment in payments:
    print(payment)
```

**Note**: Instead of using TaxPayment objects, you can also pass each payment element in dictionary format

## Query tax payments

To search for tax payments using filters, run:

```python
import starkbank

payments = starkbank.taxpayment.query(
    tags=["das", "july"]
)

for payment in payments:
    print(payment)
```

## Get tax payment

You can get a specific tax payment by its id:

```python
import starkbank

payment = starkbank.taxpayment.get("5155165527080960")

print(payment)
```

## Get tax payment PDF

After its creation, a tax payment PDF may also be retrieved by its id. 

```python
import starkbank

pdf = starkbank.taxpayment.pdf("5155165527080960")

with open("iss-payment.pdf", "wb") as file:
    file.write(pdf)
```

Be careful not to accidentally enforce any encoding on the raw pdf content,
as it may yield abnormal results in the final file, such as missing images
and strange characters.

## Delete tax payment

You can also cancel a tax payment by its id.
Note that this is not possible if it has been processed already.

```python
import starkbank

payment = starkbank.taxpayment.delete("5155165527080960")

print(payment)
```

## Query tax payment logs

You can search for payment logs by specifying filters. Use this to understand each payment life cycle.

```python
import starkbank

logs = starkbank.taxpayment.log.query(limit=10)

for log in logs:
    print(log)
```

## Get tax payment log

If you want to get a specific payment log by its id, just run:

```python
import starkbank

log = starkbank.taxpayment.log.get("1902837198237992")

print(log)
```

**Note**: Some taxes can't be payed with bar codes. Since they have specific parameters, each one of them has its own
resource and routes, which are all analogous to the TaxPayment resource. The ones we currently support are:
- DarfPayment, for DARFs

## Create DARF payment

If you want to manually pay DARFs without barcodes, you may create DarfPayments:

```python
import starkbank
from datetime import datetime, timedelta


payments = starkbank.darfpayment.create([
    starkbank.DarfPayment(
        revenue_code="1240",
        tax_id="012.345.678-90",
        competence="2020-09-01",
        reference_number="2340978970",
        nominal_amount=1234,
        fine_amount=12,
        interest_amount=34,
        due=datetime.now() + timedelta(days=30),
        scheduled=datetime.now() + timedelta(days=30),
        tags=["DARF", "making money"],
        description="take my money",
    )
])

for payment in payments:
    print(payment)
```

**Note**: Instead of using DarfPayment objects, you can also pass each payment element in dictionary format

## Query DARF payments

To search for DARF payments using filters, run:

```python
import starkbank

payments = starkbank.darfpayment.query(
    tags=["darf", "july"]
)

for payment in payments:
    print(payment)
```

## Get DARF payment

You can get a specific DARF payment by its id:

```python
import starkbank

payment = starkbank.darfpayment.get("5155165527080960")

print(payment)
```

## Get DARF payment PDF

After its creation, a DARF payment PDF may also be retrieved by its id. 

```python
import starkbank

pdf = starkbank.darfpayment.pdf("5155165527080960")

with open("darf-payment.pdf", "wb") as file:
    file.write(pdf)
```

Be careful not to accidentally enforce any encoding on the raw pdf content,
as it may yield abnormal results in the final file, such as missing images
and strange characters.

## Delete DARF payment

You can also cancel a DARF payment by its id.
Note that this is not possible if it has been processed already.

```python
import starkbank

payment = starkbank.darfpayment.delete("5155165527080960")

print(payment)
```

## Query DARF payment logs

You can search for payment logs by specifying filters. Use this to understand each payment life cycle.

```python
import starkbank

logs = starkbank.darfpayment.log.query(limit=10)

for log in logs:
    print(log)
```

## Get DARF payment log

If you want to get a specific payment log by its id, just run:

```python
import starkbank

log = starkbank.darfpayment.log.get("1902837198237992")

print(log)
```

## Preview payment information before executing the payment

You can preview multiple types of payment to confirm any information before actually paying.
If the "scheduled" parameter is not informed, today will be assumed as the intended payment date.
Right now, the "scheduled" parameter only has effect on BrcodePreviews.
This resource is able to preview the following types of payment:
"brcode-payment", "boleto-payment", "utility-payment" and "tax-payment"

```python
# coding: utf-8
import starkbank
from datetime import date, timedelta


previews = starkbank.paymentpreview.create([
    starkbank.PaymentPreview(
        id="00020126580014br.gov.bcb.pix0136a629532e-7693-4846-852d-1bbff817b5a8520400005303986540510.005802BR5908T'Challa6009Sao Paulo62090505123456304B14A",
        scheduled=date.today() + timedelta(days=3)
    ),
    starkbank.PaymentPreview(
        id="34191.09008 61207.727308 71444.640008 5 81310001234321"
    ),
])

for preview in previews:
    print(preview)
    payment = preview.payment
    if preview.type == "brcode-payment":
        print(payment.status)
```

**Note**: Instead of using PaymentPreview objects, you can also pass each request element in dictionary format


## Create payment requests to be approved by authorized people in a cost center 

You can also request payments that must pass through a specific cost center approval flow to be executed.
In certain structures, this allows double checks for cash-outs and also gives time to load your account
with the required amount before the payments take place.
The approvals can be granted at our website and must be performed according to the rules
specified in the cost center.

**Note**: The value of the center_id parameter can be consulted by logging into our website and going
to the desired cost center page.

```python
# coding: utf-8
import starkbank
from datetime import date, timedelta


requests = starkbank.paymentrequest.create([
    starkbank.PaymentRequest(
        center_id="5967314465849344",
        payment=starkbank.Transfer(
            amount=200,
            bank_code="341",
            branch_code="1234",
            account_number="123456-7",
            tax_id="012.345.678-90",
            name="Bucket Head",
            tags=[]
        ),
        due="2020-11-01"
    ),
])

for request in requests:
    print(request)
```

**Note**: Instead of using PaymentRequest objects, you can also pass each request element in dictionary format


## Query payment requests

To search for payment requests, run:

```python
import starkbank

requests = starkbank.paymentrequest.query(center_id="123456789", limit=10)

for request in requests:
    print(request)
```

## Corporate

## Create CorporateHolders

You can create card holders to which your cards will be bound.
They support spending rules that will apply to all underlying cards.

```python
import starkbank

holders = starkbank.corporateholder.create([
    starkbank.CorporateHolder(
        name="Iron Bank S.A.",
        tags=[
            "Traveler Employee"
        ],
        rules=[
            {
                "name": "General USD",
                "interval": "day",
                "amount": 100000,
                "currencyCode": "USD",
                "categories": [
                    starkbank.MerchantCategory(type="services"),
                    starkbank.MerchantCategory(code="fastFoodRestaurants")
                ],
                "countries": [
                    starkbank.MerchantCountry(code="USA")
                ],
                "methods": [
                    starkbank.CardMethod(code="token")
                ]
            }
        ]
    )
])

for holder in holders:
    print(holder)
```

**Note**: Instead of using CorporateHolder objects, you can also pass each element in dictionary format

## Query CorporateHolders

You can query multiple holders according to filters.

```python
import starkbank

holders = starkbank.corporateholder.query()

for holder in holders:
    print(holder)
```

## Cancel a CorporateHolder

To cancel a single Corporate Holder by its id, run:

```python
import starkbank

holder = starkbank.corporateholder.cancel("5155165527080960")

print(holder)
```

## Get a CorporateHolder

To get a single Corporate Holder by its id, run:

```python
import starkbank

holder = starkbank.corporateholder.get("5155165527080960")

print(holder)
```

## Query CorporateHolder logs

You can query holder logs to better understand holder life cycles.

```python
import starkbank

logs = starkbank.corporateholder.log.query(limit=50)

for log in logs:
    print(log.id)
```

## Get a CorporateHolder log

You can also get a specific log by its id.

```python
import starkbank

log = starkbank.corporateholder.log.get("5155165527080960")

print(log)
```

## Create CorporateCard

You can issue cards with specific spending rules.

```python
import starkbank

card = starkbank.corporatecard.create(
    starkbank.CorporateCard(
        holder_id="5155165527080960"
    )
)

print(card)
```

## Query CorporateCards

You can get a list of created cards given some filters.

```python
import starkbank
from datetime import date

cards = starkbank.corporatecard.query(
    after=date(2020, 1, 1),
    before=date(2020, 3, 1)
)

for card in cards:
    print(card)
```

## Get a CorporateCard

After its creation, information on a card may be retrieved by its id.

```python
import starkbank

card = starkbank.corporatecard.get("5155165527080960")

print(card)
```

## Update a CorporateCard

You can update a specific card by its id.

```python
import starkbank

card = starkbank.corporatecard.update("5155165527080960", status="blocked")

print(card)
```

## Cancel a CorporateCard

You can also cancel a card by its id.

```python
import starkbank

card = starkbank.corporatecard.cancel("5155165527080960")

print(card)
```

## Query CorporateCard logs

Logs are pretty important to understand the life cycle of a card.

```python
import starkbank

logs = starkbank.corporatecard.log.query(limit=150)

for log in logs:
    print(log)
```

## Get a CorporateCard log

You can get a single log by its id.

```python
import starkbank

log = starkbank.corporatecard.log.get("5155165527080960")

print(log)
```

## Query CorporatePurchases

You can get a list of created purchases given some filters.

```python
import starkbank
from datetime import date

purchases = starkbank.corporatepurchase.query(
    after=date(2020, 1, 1),
    before=date(2020, 3, 1)
)

for purchase in purchases:
    print(purchase)
```

## Get a CorporatePurchase

After its creation, information on a purchase may be retrieved by its id. 

```python
import starkbank

purchase = starkbank.corporatepurchase.get("5155165527080960")

print(purchase)
```

## Query CorporatePurchase logs

Logs are pretty important to understand the life cycle of a purchase.

```python
import starkbank

logs = starkbank.corporatepurchase.log.query(limit=150)

for log in logs:
    print(log)
```

## Get a CorporatePurchase log

You can get a single log by its id.

```python
import starkbank

log = starkbank.corporatepurchase.log.get("5155165527080960")

print(log)
```

## Create CorporateInvoices

You can create Pix invoices to transfer money from accounts you have in any bank to your Corporate balance,
allowing you to run your corporate operation.

```python
import starkbank

invoice = starkbank.corporateinvoice.create(
    invoice=starkbank.CorporateInvoice(
        amount=1000
    )
)

print(invoice)
```

**Note**: Instead of using CorporateInvoice objects, you can also pass each element in dictionary format

## Query CorporateInvoices

You can get a list of created invoices given some filters.

```python
import starkbank
from datetime import date

invoices = starkbank.corporateinvoice.query(
    after=date(2020, 1, 1),
    before=date(2020, 3, 1)
)

for invoice in invoices:
    print(invoice)
```

## Create CorporateWithdrawals

You can create withdrawals to send cash back from your Corporate balance to your Banking balance
by using the Withdrawal resource.

```python
import starkbank

withdrawal = starkbank.corporatewithdrawal.create(
    withdrawal=starkbank.CorporateWithdrawal(
        amount=10000,
        external_id="123",
        description="Sending back"
    )
)

print(withdrawal)
```

**Note**: Instead of using CorporateWithdrawal objects, you can also pass each element in dictionary format

## Get a CorporateWithdrawal

After its creation, information on a withdrawal may be retrieved by its id.

```python
import starkbank

withdrawal = starkbank.corporatewithdrawal.get("5155165527080960")

print(withdrawal)
```

## Query CorporateWithdrawals

You can get a list of created withdrawals given some filters.

```python
import starkbank
from datetime import date

withdrawals = starkbank.corporatewithdrawal.query(
    after=date(2020, 1, 1),
    before=date(2020, 3, 1)
)

for withdrawal in withdrawals:
    print(withdrawal)
```

## Get your CorporateBalance

To know how much money you have available to run authorizations, run:

```python
import starkbank

balance = starkbank.corporatebalance.get()

print(balance)
```

## Query CorporateTransactions

To understand your balance changes (corporate statement), you can query
transactions. Note that our system creates transactions for you when
you make purchases, withdrawals, receive corporate invoice payments, for example.

```python
import starkbank
from datetime import date

transactions = starkbank.corporatetransaction.query(
    after=date(2020, 1, 1),
    before=date(2020, 3, 1)
)
for transaction in transactions:
    print(transaction)
```

## Get a CorporateTransaction

You can get a specific transaction by its id:

```python
import starkbank

transaction = starkbank.corporatetransaction.get("5155165527080960")

print(transaction)
```

## Corporate Enums

### Query MerchantCategories

You can query any merchant categories using this resource.
You may also use MerchantCategories to define specific category filters in CorporateRules.
Either codes (which represents specific MCCs) or types (code groups) will be accepted as filters.

```python
import starkbank

categories = starkbank.merchantcategory.query(
    search="food",
)

for category in categories:
    print(category)
```

### Query MerchantCountries

You can query any merchant countries using this resource.
You may also use MerchantCountries to define specific country filters in CorporateRules.

```python
import starkbank

countries = starkbank.merchantcountry.query(
    search="brazil",
)

for country in countries:
    print(country)
```

### Query CardMethods

You can query available card methods using this resource.
You may also use CardMethods to define specific purchase method filters in CorporateRules.

```python
import starkbank

methods = starkbank.cardmethod.query(
    search="token",
)

for method in methods:
    print(method)
```

## Create a webhook subscription

To create a webhook subscription and be notified whenever an event occurs, run:

```python
import starkbank

webhook = starkbank.webhook.create(
    url="https://webhook.site/dd784f26-1d6a-4ca6-81cb-fda0267761ec",
    subscriptions=["transfer", "boleto", "boleto-payment", "boleto-holmes", "brcode-payment", "utility-payment", "deposit", "invoice"],
)

print(webhook)
```

## Query webhook subscriptions 

To search for registered webhook subscriptions, run:

```python
import starkbank

webhooks = starkbank.webhook.query()

for webhook in webhooks:
    print(webhook)
```

## Get a webhook subscription

You can get a specific webhook subscription by its id.

```python
import starkbank

webhook = starkbank.webhook.get("10827361982368179")

print(webhook)
```

## Delete a webhook subscription

You can also delete a specific webhook subscription by its id.

```python
import starkbank

webhook = starkbank.webhook.delete("10827361982368179")

print(webhook)
```

## Process webhook events

It's easy to process events that arrived in your webhook. Remember to pass the
signature header so the SDK can make sure it's really StarkBank that sent you
the event.

```python
import starkbank

response = listen()  # this is the method you made to get the events posted to your webhook endpoint

event = starkbank.event.parse(
    content=response.data.decode("utf-8"),
    signature=response.headers["Digital-Signature"],
)

if event.subscription == "transfer":
    print(event.log.transfer)
    
elif event.subscription == "boleto":
    print(event.log.boleto)
    
elif event.subscription == "boleto-payment":
    print(event.log.payment)

elif event.subscription == "boleto-holmes":
    print(event.log.holmes)

elif event.subscription == "brcode-payment":
    print(event.log.payment)

elif event.subscription == "utility-payment":
    print(event.log.payment)

elif event.subscription == "deposit":
    print(event.log.deposit)

elif event.subscription == "invoice":
    print(event.log.invoice)
```

## Query webhook events

To search for webhooks events, run:

```python
import starkbank

events = starkbank.event.query(after="2020-03-20", is_delivered=False)

for event in events:
    print(event)
```

## Get a webhook event

You can get a specific webhook event by its id.

```python
import starkbank

event = starkbank.event.get("10827361982368179")

print(event)
```

## Delete a webhook event

You can also delete a specific webhook event by its id.

```python
import starkbank

event = starkbank.event.delete("10827361982368179")

print(event)
```

## Set webhook events as delivered

This can be used in case you've lost events.
With this function, you can manually set events retrieved from the API as
"delivered" to help future event queries with `is_delivered=False`.

```python
import starkbank

event = starkbank.event.update(id="129837198237192", is_delivered=True)

print(event)
```

## Query failed webhook event delivery attempts information

You can also get information on failed webhook event delivery attempts.

```python
import starkbank

attempts = starkbank.event.attempt.query(after="2020-03-20")

for attempt in attempts:
    print(attempt.code)
    print(attempt.message)
```

## Get a failed webhook event delivery attempt information

To retrieve information on a single attempt, use the following function:

```python
import starkbank

attempt = starkbank.event.attempt.get("1616161616161616")

print(attempt)
```

## Create a new Workspace

The Organization user allows you to create new Workspaces (bank accounts) under your organization.
Workspaces have independent balances, statements, operations and users.
The only link between your Workspaces is the Organization that controls them.

**Note**: This route will only work if the Organization user is used with `workspace_id=None`.

```python
import starkbank

workspace = starkbank.workspace.create(
    username="iron-bank-workspace-1",
    name="Iron Bank Workspace 1",
    user=organization,
)

print(workspace)
```

## List your Workspaces

This route lists Workspaces. If no parameter is passed, all the workspaces the user has access to will be listed, but
you can also find other Workspaces by searching for their usernames or IDs directly.

```python
import starkbank

workspaces = starkbank.workspace.query(limit=30)

for workspace in workspaces:
    print(workspace)
```

## Get a Workspace

You can get a specific Workspace by its id.

```python
import starkbank

workspace = starkbank.workspace.get("1082736198236817")

print(workspace)
```

## Update a Workspace

You can update a specific Workspace by its id.

```python
import starkbank

picture = open("path/to/picture.png", "rb").read()

workspace = starkbank.workspace.update(
    "1082736198236817",
    username="new-username",
    name="New Name",
    allowed_tax_ids=["012.345.678-90"],
    picture=picture,
    picture_type="image/png",
    user=starkbank.Organization.replace(organization, "1082736198236817")
)

print(workspace)
```

You can also block a specific Workspace by its id.

```python
import starkbank

workspace = starkbank.workspace.update(
    "1082736198236817",
    username="new-username",
    name="New Name",
    status="blocked",
    user=starkbank.Organization.replace(organization, "1082736198236817")
)

print(workspace)
```

**Note**: the Organization user can only update a workspace with the Workspace ID set.

# Handling errors

The SDK may raise one of four types of errors: __InputErrors__, __InternalServerError__, __UnknownError__, __InvalidSignatureError__

__InputErrors__ will be raised whenever the API detects an error in your request (status code 400).
If you catch such an error, you can get its elements to verify each of the
individual errors that were detected in your request by the API.
For example:

```python
import starkbank

try:
    transactions = starkbank.transaction.create([
        starkbank.Transaction(
            amount=99999999999999,  # (R$ 999,999,999,999.99)
            receiver_id="1029378109327810",
            description=".",
            external_id="12345",  # so we can block anything you send twice by mistake
            tags=["provider"]
        ),
    ])
except starkbank.error.InputErrors as exception:
    for error in exception.errors:
        print(error.code)
        print(error.message)
```

__InternalServerError__ will be raised if the API runs into an internal error.
If you ever stumble upon this one, rest assured that the development team
is already rushing in to fix the mistake and get you back up to speed.

__UnknownError__ will be raised if a request encounters an error that is
neither __InputErrors__ nor an __InternalServerError__, such as connectivity problems.

__InvalidSignatureError__ will be raised specifically by starkbank.event.parse()
when the provided content and signature do not check out with the Stark Bank public
key.

# Help and Feedback

If you have any questions about our SDK, just send us an email.
We will respond you quickly, pinky promise. We are here to help you integrate with us ASAP.
We also love feedback, so don't be shy about sharing your thoughts with us.

Email: help@starkbank.com


