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93 lines
2.4 KiB
Plaintext
93 lines
2.4 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Stripe\n",
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"\n",
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"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."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [],
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"source": [
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"import os\n",
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"\n",
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"\n",
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"from langchain.document_loaders import StripeLoader\n",
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"from langchain.indexes import VectorstoreIndexCreator"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"The Stripe API requires an access token, which can be found inside of the Stripe dashboard.\n",
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"\n",
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"This document loader also requires a `resource` option which defines what data you want to load.\n",
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"\n",
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"Following resources are available:\n",
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"\n",
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"`balance_transations` [Documentation](https://stripe.com/docs/api/balance_transactions/list)\n",
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"\n",
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"`charges` [Documentation](https://stripe.com/docs/api/charges/list)\n",
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"\n",
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"`customers` [Documentation](https://stripe.com/docs/api/customers/list)\n",
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"\n",
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"`events` [Documentation](https://stripe.com/docs/api/events/list)\n",
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"\n",
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"`refunds` [Documentation](https://stripe.com/docs/api/refunds/list)\n",
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"\n",
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"`disputes` [Documentation](https://stripe.com/docs/api/disputes/list)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"stripe_loader = StripeLoader(\"charges\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Create a vectorstore retriver from the loader\n",
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"# see https://python.langchain.com/en/latest/modules/indexes/getting_started.html for more details\n",
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"\n",
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"index = VectorstoreIndexCreator().from_loaders([stripe_loader])\n",
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"stripe_doc_retriever = index.vectorstore.as_retriever()"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.3"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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