{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Stripe\n", "\n", ">[Stripe](https://stripe.com/en-ca) is an Irish-American financial services and software as a service (SaaS) company. It offers payment-processing software and application programming interfaces for e-commerce websites and mobile applications.\n", "\n", "This notebook covers how to load data from the `Stripe REST API` into a format that can be ingested into LangChain, along with example usage for vectorization." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import os\n", "\n", "\n", "from langchain.document_loaders import StripeLoader\n", "from langchain.indexes import VectorstoreIndexCreator" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The Stripe API requires an access token, which can be found inside of the Stripe dashboard.\n", "\n", "This document loader also requires a `resource` option which defines what data you want to load.\n", "\n", "Following resources are available:\n", "\n", "`balance_transations` [Documentation](https://stripe.com/docs/api/balance_transactions/list)\n", "\n", "`charges` [Documentation](https://stripe.com/docs/api/charges/list)\n", "\n", "`customers` [Documentation](https://stripe.com/docs/api/customers/list)\n", "\n", "`events` [Documentation](https://stripe.com/docs/api/events/list)\n", "\n", "`refunds` [Documentation](https://stripe.com/docs/api/refunds/list)\n", "\n", "`disputes` [Documentation](https://stripe.com/docs/api/disputes/list)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "stripe_loader = StripeLoader(\"charges\")" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# Create a vectorstore retriver from the loader\n", "# see https://python.langchain.com/en/latest/modules/indexes/getting_started.html for more details\n", "\n", "index = VectorstoreIndexCreator().from_loaders([stripe_loader])\n", "stripe_doc_retriever = index.vectorstore.as_retriever()" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.10.6" } }, "nbformat": 4, "nbformat_minor": 4 }