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Description:

peachpaymentspartner 0.1.13

Peach Partner Library
Overview
Peach Partner Library is a platform-agnostic Python package to help Payment Service Providers in integrating with PeachPayments.
Documentation:
Source Code: https://gitlab.com/peachpayments/peach-partner-python/

Key terms

Term
Definition

Partner API
A service provided by Peach Payments to enable Payment Service Providers to become available on the Peach Platform

Payment Service Provider
A payment service provider who integrates with the Partner API

Outbound API call
API calls sent from Partner API to the Payment Service Provider

Inbound API call
API calls sent from Payment Service Provider to Partner API

Installation
Package requires Python 3.9+
# pip
$ pip3 install peachpayments-partner

# poetry
$ poetry add peachpayments-partner

Result codes
from peachpayments_partner.result_codes import result_codes

result_codes.TRANSACTION_SUCCEEDED.code == "000.000.000"
result_codes.get("000.000.000").name == "TRANSACTION_SUCCEEDED"
result_codes.get("000.000.000").description == "Transaction succeeded"

Authentication
Requests to Payment Service Provider
PeachPayments uses an authorization token (JWT) in each request made to the Payment Service Provider.
This library provides the authentication.is_authenticated method, which takes the token as an argument and the authentication.get_key to collect the signing_key.
The is_authenticated method has only one required argument, the token. If it's called without the optional signing_key it will collect the key using the get_key method. If it's called without the optional audience it will try to use the environment variable AUTH0_AUDIENCE.
The method decodes the token. If that succeeds, it returns True. Otherwise, it raises an AuthError exception.
Formatting error responses
PeachPayments requires the error responses to be formatted in a specific way. This library provides the format_error_response method, which takes a dict containing error response as an argument and returns a formatted error response.
def format_error_response(code, errors, data):

The errors dict might look like this:
{
"status": ["Not a valid string."],
"code": ["Missing data for required field."],
}

The data dict might look like this:
{
"status": 10
}

With the code as ResultCodes.INVALID_OR_MISSING_PARAMETER, the formatted error response will look similar to this:
{
"result": {
"code": "200.300.404",
"description": "invalid or missing parameter",
"parameterErrors": [
{
"value": 10,
"name": "status",
"message": "Not a valid string."
},
{
"name": "code",
"message": "Missing data for required field."
}
]
},
"timestamp": "2021-08-03T16:16:30.992618Z"
}

Fixtures
This library provides examples of valid requests and responses.
An example of the recommended usage for testing:
import pytest
from copy import deepcopy
from peachpayments_partner.fixtures import DEBIT_RESPONSE

@pytest.fixture
def debit_response():
return deepcopy(DEBIT_RESPONSE)