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Getting Started with Batches

Introduction

A Batch represents a group of transactions that commence the funding process together. Batches have aggregate amount and count totals of all the transactions in the batch. Once a batch is closed all transactions assigned to that batch will be funded to the merchant. Once a batch is closed no more transactions can be added or removed from that batch. Transactions that are in a closed batch cannot be cancelled/reversed and must be refunded.

Install the Package

The package is compatible with Python versions 3.7+. Install the package from PyPi using the following pip command:

pip install apimatic-gp-sdk==0.0.1

You can also view the package at: https://pypi.python.org/pypi/apimatic-gp-sdk/0.0.1

Initialize the API Client

Note: Documentation for the client can be found here.

The following parameters are configurable for the API Client:

Parameter Type Description
environment Environment The API environment.
Default: Environment.PRODUCTION
http_client_instance Union[Session, HttpClientProvider] The Http Client passed from the sdk user for making requests
override_http_client_configuration bool The value which determines to override properties of the passed Http Client from the sdk user
http_call_back HttpCallBack The callback value that is invoked before and after an HTTP call is made to an endpoint
timeout float The value to use for connection timeout.
Default: 30
max_retries int The number of times to retry an endpoint call if it fails.
Default: 0
backoff_factor float A backoff factor to apply between attempts after the second try.
Default: 2
retry_statuses Array of int The http statuses on which retry is to be done.
Default: [408, 413, 429, 500, 502, 503, 504, 521, 522, 524]
retry_methods Array of string The http methods on which retry is to be done.
Default: ["GET", "PUT"]
proxy_settings ProxySettings Optional proxy configuration to route HTTP requests through a proxy server.
logging_configuration LoggingConfiguration The SDK logging configuration for API calls

The API client can be initialized as follows:

Code-Based Client Initialization

import logging

from batches.batches_client import BatchesClient
from batches.configuration import Environment
from batches.logging.configuration.api_logging_configuration import LoggingConfiguration
from batches.logging.configuration.api_logging_configuration import RequestLoggingConfiguration
from batches.logging.configuration.api_logging_configuration import ResponseLoggingConfiguration

client = BatchesClient(
    environment=Environment.PRODUCTION,
    logging_configuration=LoggingConfiguration(
        log_level=logging.INFO,
        request_logging_config=RequestLoggingConfiguration(
            log_body=True
        ),
        response_logging_config=ResponseLoggingConfiguration(
            log_headers=True
        )
    )
)

Environment-Based Client Initialization

from batches.batches_client import BatchesClient

# Specify the path to your .env file if it’s located outside the project’s root directory.
client = BatchesClient.from_environment(dotenv_path='/path/to/.env')

See the Environment-Based Client Initialization section for details.

Environments

The SDK can be configured to use a different environment for making API calls. Available environments are:

Fields

Name Description
PRODUCTION Default Sandbox Environment
ENVIRONMENT2 Production Environment

List of APIs

SDK Infrastructure

Configuration

HTTP

Utilities

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