diff --git a/starters/nextjs/shopify-ecommerce/.eslintrc.json b/starters/nextjs/shopify-ecommerce/.eslintrc.json new file mode 100644 index 00000000..f77b87af --- /dev/null +++ b/starters/nextjs/shopify-ecommerce/.eslintrc.json @@ -0,0 +1,6 @@ +{ + "extends": ["next/core-web-vitals", "next/typescript", "prettier"], + "rules": { + "@next/next/no-img-element": "off" + } +} diff --git a/starters/nextjs/shopify-ecommerce/.gitignore b/starters/nextjs/shopify-ecommerce/.gitignore new file mode 100644 index 00000000..a8219e06 --- /dev/null +++ b/starters/nextjs/shopify-ecommerce/.gitignore @@ -0,0 +1,43 @@ +# See https://help.github.com/articles/ignoring-files/ for more about ignoring files. + +# dependencies +/node_modules +/.pnp +.pnp.js +.yarn/install-state.gz + +# testing +/coverage + +# next.js +/.next/ +/out/ + +# production +/build + +# misc +.DS_Store +*.pem + +# debug +npm-debug.log* +yarn-debug.log* +yarn-error.log* + +# local env files +.env*.local + +# vercel +.vercel + +# typescript +*.tsbuildinfo +next-env.d.ts + +vsce-debug.log* + +# Firebase +firebase-debug.log* +firebase-debug.* +.firebase \ No newline at end of file diff --git a/starters/nextjs/shopify-ecommerce/README.md b/starters/nextjs/shopify-ecommerce/README.md new file mode 100644 index 00000000..e3a886db --- /dev/null +++ b/starters/nextjs/shopify-ecommerce/README.md @@ -0,0 +1,223 @@ +# Project Documentation: Next.js/Shopify Ecommerce Template + +## Project Overview + +This project is a headless Shopify ecommerce template built with **Next.js**, the **Shopify Storefront API**, and **Firebase Data Connect**. It provides a seamless front-end experience, optimized performance, and integration with Shopify's backend services. + +--- + +## Pages Documentation + +### 1. **Authentication Page (`/auth`)** + +- **Purpose**: User authentication and account creation. +- **Features**: + - Login and registration forms. + - Integration with Shopify customer accounts via Shopify Storefront API. +- **Technical Details**: + - Uses GraphQL mutations for `customerAccessTokenCreate` and `customerCreate`. + +### 2. **Home Page (`/`)** + +- **Purpose**: Landing page displaying featured products and collections. +- **Features**: + - Dynamic product and collection rendering. +- **Technical Details**: + - Queries: `collections` and `products` from Shopify Storefront API. + +### 3. **Product Page (`/product/[handle]`)** + +- **Purpose**: Displays detailed information for a single product. +- **Features**: + - User reviews and ratings. + - Review summaries generated using Google's Gemini AI + - Semantic analysis of customer feedback + - Real-time review aggregation + - Product images, descriptions, variants, pricing, and inventory status. + - Add-to-cart functionality. + - Save variant selection to the URL search params for SEO and sharing purposes. +- **Technical Details**: + - Query: `productByHandle` from Shopify Storefront API. + - Mutation: `cartLinesAdd`. + - Mutation: `cartCreate`. + +### 4. **Cart Page (`/cart`)** + +- **Purpose**: Shows the user’s shopping cart. +- **Features**: + - List of added products, quantities, and prices. + - Update and remove items from the cart. +- **Technical Details**: + - Query: `cart` by cart ID. + - Mutations: `cartLinesUpdate` and `cartLinesRemove`. + +### 5. **Checkout Page (`/checkout`)** + +- **Purpose**: Finalizes the purchase process. +- **Features**: + - Displays cart summary and shipping details. + - Redirects to Shopify's secure checkout. +- **Technical Details**: + - Uses the checkout URL generated for the cart. + +### 6. **Orders Overview Page (`/orders`)** + +- **Purpose**: Displays a list of past orders for the authenticated user. +- **Features**: + - Order summaries with statuses and total amounts. +- **Technical Details**: + - Query: `customerOrders`. + +### 7. **Order Detail Page (`/order/[id]`)** + +- **Purpose**: Detailed view of a single order. +- **Features**: + - Order items, shipping address, payment method, and status. +- **Technical Details**: + - Query: `order` by ID. + +### 8. **Category Page (`/category/[handle]`)** + +- **Purpose**: Displays products under a specific category or collection. +- **Features**: + - Paginated product listings. + - Sorting and filtering options. +- **Technical Details**: + - Query: `collectionByHandle`. + +--- + +## Shopify Admin Documentation + +### **Products** + +- Manage product listings including descriptions, images, pricing, and inventory. +- Products added in the Shopify Admin will reflect dynamically on the front end. +- We can provide a CSV import of products to the Shopify Admin to help with the onboarding process. + +### **Collections** + +- Organize products into categories or groups for better navigation and display. + +### **Orders** + +- Manage customer orders, including fulfillment, cancellations, and refunds. + +### **Users** + +- Handle customer accounts and permissions for staff members. + +--- + +## Shopify Storefront API Documentation + +- **Authentication**: + - Secure API calls using access tokens. +- **GraphQL Queries**: + - `products`: Retrieves product data. + - `collections`: Retrieves collection data. + - `cart`: Fetches details about the shopping cart. +- **GraphQL Mutations**: + - `cartLinesAdd`: Adds items to the cart. + - `checkoutCreate`: Initializes the checkout process. + - `customerCreate`: Creates a new customer account. + +--- + +## Data Connect Documentation + +### **Overview** + +- Data Connect is integrated to enhance search capabilities using **vector search** and **AI**-powered data querying. + +### **Vector Search** + +- Improves search relevance and precision by using product embeddings. +- Examples: + - Searching for "summer shoes" retrieves similar products based on semantic similarity. + +### **AI Query Generation** + +- The Firebase Data-Connect console includes an AI assistant to generate and optimize GraphQL queries and mutations. +- Examples: + - Auto-generated queries for frequently searched terms or product categories. + - AI-optimized mutations for dynamic user interactions. + +### **GraphQL Queries and Mutations Used** + +- **Queries**: + - `searchProducts`: Retrieves products based on user input. + - `searchCollections`: Fetches collections matching keywords. +- **Mutations**: + - `cartLinesUpdate`: Updates cart item quantities. + - `cartLinesRemove`: Removes items from the cart. + +### Vector Search Capabilities + +#### Product Search + +- Name-based similarity search +- Description-based semantic search +- Review content similarity search + +#### Implementation + +--- + +## Technical Architecture + +### Frontend + +- Next.js 15.0.3 +- React 18 +- Tailwind CSS +- Headless UI Components + +### Backend Services + +- Shopify Storefront API +- Firebase Data Connect +- Google Generative AI (Gemini) + +### Authentication Flow + +- Customer token-based authentication +- Secure session management using cookies +- Activation process for new accounts + +--- + +## Development Setup + +### Prerequisites + +- Node.js 20+ +- Firebase CLI +- Shopify Partner Account + +### Environment Variables + +Required environment variables: + +- SHOPIFY_STORE_DOMAIN +- SHOPIFY_STOREFRONT_ACCESS_TOKEN +- FIREBASE_API_KEY +- GOOGLE_API_KEY (for Gemini AI) + +--- + +## Error Handling + +### Authentication Errors + +- Invalid credentials +- Account activation failures +- Session expiration + +### API Errors + +- Shopify API rate limits +- Data Connect timeout handling +- Vector search limitations + +--- diff --git a/starters/nextjs/shopify-ecommerce/apphosting.yaml b/starters/nextjs/shopify-ecommerce/apphosting.yaml new file mode 100644 index 00000000..2bf69810 --- /dev/null +++ b/starters/nextjs/shopify-ecommerce/apphosting.yaml @@ -0,0 +1,22 @@ +# Settings for Backend (on Cloud Run). +# See https://firebase.google.com/docs/app-hosting/configure#cloud-run +runConfig: + minInstances: 0 + # maxInstances: 100 + # concurrency: 80 + # cpu: 1 + # memoryMiB: 512 +# Environment variables and secrets. +# env: +# Configure environment variables. +# See https://firebase.google.com/docs/app-hosting/configure#user-defined-environment +# - variable: MESSAGE +# value: Hello world! +# availability: +# - BUILD +# - RUNTIME + +# Grant access to secrets in Cloud Secret Manager. +# See https://firebase.google.com/docs/app-hosting/configure#secret-parameters +# - variable: MY_SECRET +# secret: mySecretRef diff --git a/starters/nextjs/shopify-ecommerce/dataconnect-generated/js/ecommerce-template/esm/index.esm.js b/starters/nextjs/shopify-ecommerce/dataconnect-generated/js/ecommerce-template/esm/index.esm.js new file mode 100644 index 00000000..019d2941 --- /dev/null +++ b/starters/nextjs/shopify-ecommerce/dataconnect-generated/js/ecommerce-template/esm/index.esm.js @@ -0,0 +1,140 @@ +import { getDataConnect, queryRef, executeQuery, mutationRef, executeMutation, validateArgs } from 'firebase/data-connect'; + +export const connectorConfig = { + connector: 'ecommerce-template', + service: 'ecommerce-template', + location: 'us-central1' +}; + +export function createProductRef(dcOrVars, vars) { + const { dc: dcInstance, vars: inputVars} = validateArgs(connectorConfig, dcOrVars, vars, true); + if('_useGeneratedSdk' in dcInstance) { + dcInstance._useGeneratedSdk(); + } else { + console.error('Please update to the latest version of the Data Connect SDK by running `npm install firebase@dataconnect-preview`.'); + } + return mutationRef(dcInstance, 'CreateProduct', inputVars); +} +export function createProduct(dcOrVars, vars) { + return executeMutation(createProductRef(dcOrVars, vars)); +} +export function updateProductRef(dcOrVars, vars) { + const { dc: dcInstance, vars: inputVars} = validateArgs(connectorConfig, dcOrVars, vars, true); + if('_useGeneratedSdk' in dcInstance) { + dcInstance._useGeneratedSdk(); + } else { + console.error('Please update to the latest version of the Data Connect SDK by running `npm install firebase@dataconnect-preview`.'); + } + return mutationRef(dcInstance, 'UpdateProduct', inputVars); +} +export function updateProduct(dcOrVars, vars) { + return executeMutation(updateProductRef(dcOrVars, vars)); +} +export function deleteProductRef(dcOrVars, vars) { + const { dc: dcInstance, vars: inputVars} = validateArgs(connectorConfig, dcOrVars, vars, true); + if('_useGeneratedSdk' in dcInstance) { + dcInstance._useGeneratedSdk(); + } else { + console.error('Please update to the latest version of the Data Connect SDK by running `npm install firebase@dataconnect-preview`.'); + } + return mutationRef(dcInstance, 'DeleteProduct', inputVars); +} +export function deleteProduct(dcOrVars, vars) { + return executeMutation(deleteProductRef(dcOrVars, vars)); +} +export function createReviewRef(dcOrVars, vars) { + const { dc: dcInstance, vars: inputVars} = validateArgs(connectorConfig, dcOrVars, vars, true); + if('_useGeneratedSdk' in dcInstance) { + dcInstance._useGeneratedSdk(); + } else { + console.error('Please update to the latest version of the Data Connect SDK by running `npm install firebase@dataconnect-preview`.'); + } + return mutationRef(dcInstance, 'CreateReview', inputVars); +} +export function createReview(dcOrVars, vars) { + return executeMutation(createReviewRef(dcOrVars, vars)); +} +export function updateReviewRef(dcOrVars, vars) { + const { dc: dcInstance, vars: inputVars} = validateArgs(connectorConfig, dcOrVars, vars, true); + if('_useGeneratedSdk' in dcInstance) { + dcInstance._useGeneratedSdk(); + } else { + console.error('Please update to the latest version of the Data Connect SDK by running `npm install firebase@dataconnect-preview`.'); + } + return mutationRef(dcInstance, 'UpdateReview', inputVars); +} +export function updateReview(dcOrVars, vars) { + return executeMutation(updateReviewRef(dcOrVars, vars)); +} +export function deleteReviewRef(dcOrVars, vars) { + const { dc: dcInstance, vars: inputVars} = validateArgs(connectorConfig, dcOrVars, vars, true); + if('_useGeneratedSdk' in dcInstance) { + dcInstance._useGeneratedSdk(); + } else { + console.error('Please update to the latest version of the Data Connect SDK by running `npm install firebase@dataconnect-preview`.'); + } + return mutationRef(dcInstance, 'DeleteReview', inputVars); +} +export function deleteReview(dcOrVars, vars) { + return executeMutation(deleteReviewRef(dcOrVars, vars)); +} +export function searchProductsRef(dcOrVars, vars) { + const { dc: dcInstance, vars: inputVars} = validateArgs(connectorConfig, dcOrVars, vars); + if('_useGeneratedSdk' in dcInstance) { + dcInstance._useGeneratedSdk(); + } else { + console.error('Please update to the latest version of the Data Connect SDK by running `npm install firebase@dataconnect-preview`.'); + } + return queryRef(dcInstance, 'SearchProducts', inputVars); +} +export function searchProducts(dcOrVars, vars) { + return executeQuery(searchProductsRef(dcOrVars, vars)); +} +export function getProductReviewsRef(dcOrVars, vars) { + const { dc: dcInstance, vars: inputVars} = validateArgs(connectorConfig, dcOrVars, vars, true); + if('_useGeneratedSdk' in dcInstance) { + dcInstance._useGeneratedSdk(); + } else { + console.error('Please update to the latest version of the Data Connect SDK by running `npm install firebase@dataconnect-preview`.'); + } + return queryRef(dcInstance, 'GetProductReviews', inputVars); +} +export function getProductReviews(dcOrVars, vars) { + return executeQuery(getProductReviewsRef(dcOrVars, vars)); +} +export function searchProductDescriptionUsingL2similarityRef(dcOrVars, vars) { + const { dc: dcInstance, vars: inputVars} = validateArgs(connectorConfig, dcOrVars, vars, true); + if('_useGeneratedSdk' in dcInstance) { + dcInstance._useGeneratedSdk(); + } else { + console.error('Please update to the latest version of the Data Connect SDK by running `npm install firebase@dataconnect-preview`.'); + } + return queryRef(dcInstance, 'SearchProductDescriptionUsingL2Similarity', inputVars); +} +export function searchProductDescriptionUsingL2similarity(dcOrVars, vars) { + return executeQuery(searchProductDescriptionUsingL2similarityRef(dcOrVars, vars)); +} +export function searchProductNameUsingL2similarityRef(dcOrVars, vars) { + const { dc: dcInstance, vars: inputVars} = validateArgs(connectorConfig, dcOrVars, vars, true); + if('_useGeneratedSdk' in dcInstance) { + dcInstance._useGeneratedSdk(); + } else { + console.error('Please update to the latest version of the Data Connect SDK by running `npm install firebase@dataconnect-preview`.'); + } + return queryRef(dcInstance, 'SearchProductNameUsingL2Similarity', inputVars); +} +export function searchProductNameUsingL2similarity(dcOrVars, vars) { + return executeQuery(searchProductNameUsingL2similarityRef(dcOrVars, vars)); +} +export function searchReviewContentUsingL2similarityRef(dcOrVars, vars) { + const { dc: dcInstance, vars: inputVars} = validateArgs(connectorConfig, dcOrVars, vars, true); + if('_useGeneratedSdk' in dcInstance) { + dcInstance._useGeneratedSdk(); + } else { + console.error('Please update to the latest version of the Data Connect SDK by running `npm install firebase@dataconnect-preview`.'); + } + return queryRef(dcInstance, 'SearchReviewContentUsingL2Similarity', inputVars); +} +export function searchReviewContentUsingL2similarity(dcOrVars, vars) { + return executeQuery(searchReviewContentUsingL2similarityRef(dcOrVars, vars)); +} diff --git a/starters/nextjs/shopify-ecommerce/dataconnect-generated/js/ecommerce-template/esm/package.json b/starters/nextjs/shopify-ecommerce/dataconnect-generated/js/ecommerce-template/esm/package.json new file mode 100644 index 00000000..7c34deb5 --- /dev/null +++ b/starters/nextjs/shopify-ecommerce/dataconnect-generated/js/ecommerce-template/esm/package.json @@ -0,0 +1 @@ +{"type":"module"} \ No newline at end of file diff --git a/starters/nextjs/shopify-ecommerce/dataconnect-generated/js/ecommerce-template/index.cjs.js b/starters/nextjs/shopify-ecommerce/dataconnect-generated/js/ecommerce-template/index.cjs.js new file mode 100644 index 00000000..8e5f0162 --- /dev/null +++ b/starters/nextjs/shopify-ecommerce/dataconnect-generated/js/ecommerce-template/index.cjs.js @@ -0,0 +1,163 @@ +const { getDataConnect, queryRef, executeQuery, mutationRef, executeMutation, validateArgs } = require('firebase/data-connect'); + +const connectorConfig = { + connector: 'ecommerce-template', + service: 'ecommerce-template', + location: 'us-central1' +}; +exports.connectorConfig = connectorConfig; + +function createProductRef(dcOrVars, vars) { + const { dc: dcInstance, vars: inputVars} = validateArgs(connectorConfig, dcOrVars, vars, true); + if('_useGeneratedSdk' in dcInstance) { + dcInstance._useGeneratedSdk(); + } else { + console.error('Please update to the latest version of the Data Connect SDK by running `npm install firebase@dataconnect-preview`.'); + } + return mutationRef(dcInstance, 'CreateProduct', inputVars); +} +exports.createProductRef = createProductRef; +exports.createProduct = function createProduct(dcOrVars, vars) { + return executeMutation(createProductRef(dcOrVars, vars)); +}; + +function updateProductRef(dcOrVars, vars) { + const { dc: dcInstance, vars: inputVars} = validateArgs(connectorConfig, dcOrVars, vars, true); + if('_useGeneratedSdk' in dcInstance) { + dcInstance._useGeneratedSdk(); + } else { + console.error('Please update to the latest version of the Data Connect SDK by running `npm install firebase@dataconnect-preview`.'); + } + return mutationRef(dcInstance, 'UpdateProduct', inputVars); +} +exports.updateProductRef = updateProductRef; +exports.updateProduct = function updateProduct(dcOrVars, vars) { + return executeMutation(updateProductRef(dcOrVars, vars)); +}; + +function deleteProductRef(dcOrVars, vars) { + const { dc: dcInstance, vars: inputVars} = validateArgs(connectorConfig, dcOrVars, vars, true); + if('_useGeneratedSdk' in dcInstance) { + dcInstance._useGeneratedSdk(); + } else { + console.error('Please update to the latest version of the Data Connect SDK by running `npm install firebase@dataconnect-preview`.'); + } + return mutationRef(dcInstance, 'DeleteProduct', inputVars); +} +exports.deleteProductRef = deleteProductRef; +exports.deleteProduct = function deleteProduct(dcOrVars, vars) { + return executeMutation(deleteProductRef(dcOrVars, vars)); +}; + +function createReviewRef(dcOrVars, vars) { + const { dc: dcInstance, vars: inputVars} = validateArgs(connectorConfig, dcOrVars, vars, true); + if('_useGeneratedSdk' in dcInstance) { + dcInstance._useGeneratedSdk(); + } else { + console.error('Please update to the latest version of the Data Connect SDK by running `npm install firebase@dataconnect-preview`.'); + } + return mutationRef(dcInstance, 'CreateReview', inputVars); +} +exports.createReviewRef = createReviewRef; +exports.createReview = function createReview(dcOrVars, vars) { + return executeMutation(createReviewRef(dcOrVars, vars)); +}; + +function updateReviewRef(dcOrVars, vars) { + const { dc: dcInstance, vars: inputVars} = validateArgs(connectorConfig, dcOrVars, vars, true); + if('_useGeneratedSdk' in dcInstance) { + dcInstance._useGeneratedSdk(); + } else { + console.error('Please update to the latest version of the Data Connect SDK by running `npm install firebase@dataconnect-preview`.'); + } + return mutationRef(dcInstance, 'UpdateReview', inputVars); +} +exports.updateReviewRef = updateReviewRef; +exports.updateReview = function updateReview(dcOrVars, vars) { + return executeMutation(updateReviewRef(dcOrVars, vars)); +}; + +function deleteReviewRef(dcOrVars, vars) { + const { dc: dcInstance, vars: inputVars} = validateArgs(connectorConfig, dcOrVars, vars, true); + if('_useGeneratedSdk' in dcInstance) { + dcInstance._useGeneratedSdk(); + } else { + console.error('Please update to the latest version of the Data Connect SDK by running `npm install firebase@dataconnect-preview`.'); + } + return mutationRef(dcInstance, 'DeleteReview', inputVars); +} +exports.deleteReviewRef = deleteReviewRef; +exports.deleteReview = function deleteReview(dcOrVars, vars) { + return executeMutation(deleteReviewRef(dcOrVars, vars)); +}; + +function searchProductsRef(dcOrVars, vars) { + const { dc: dcInstance, vars: inputVars} = validateArgs(connectorConfig, dcOrVars, vars); + if('_useGeneratedSdk' in dcInstance) { + dcInstance._useGeneratedSdk(); + } else { + console.error('Please update to the latest version of the Data Connect SDK by running `npm install firebase@dataconnect-preview`.'); + } + return queryRef(dcInstance, 'SearchProducts', inputVars); +} +exports.searchProductsRef = searchProductsRef; +exports.searchProducts = function searchProducts(dcOrVars, vars) { + return executeQuery(searchProductsRef(dcOrVars, vars)); +}; + +function getProductReviewsRef(dcOrVars, vars) { + const { dc: dcInstance, vars: inputVars} = validateArgs(connectorConfig, dcOrVars, vars, true); + if('_useGeneratedSdk' in dcInstance) { + dcInstance._useGeneratedSdk(); + } else { + console.error('Please update to the latest version of the Data Connect SDK by running `npm install firebase@dataconnect-preview`.'); + } + return queryRef(dcInstance, 'GetProductReviews', inputVars); +} +exports.getProductReviewsRef = getProductReviewsRef; +exports.getProductReviews = function getProductReviews(dcOrVars, vars) { + return executeQuery(getProductReviewsRef(dcOrVars, vars)); +}; + +function searchProductDescriptionUsingL2similarityRef(dcOrVars, vars) { + const { dc: dcInstance, vars: inputVars} = validateArgs(connectorConfig, dcOrVars, vars, true); + if('_useGeneratedSdk' in dcInstance) { + dcInstance._useGeneratedSdk(); + } else { + console.error('Please update to the latest version of the Data Connect SDK by running `npm install firebase@dataconnect-preview`.'); + } + return queryRef(dcInstance, 'SearchProductDescriptionUsingL2Similarity', inputVars); +} +exports.searchProductDescriptionUsingL2similarityRef = searchProductDescriptionUsingL2similarityRef; +exports.searchProductDescriptionUsingL2similarity = function searchProductDescriptionUsingL2similarity(dcOrVars, vars) { + return executeQuery(searchProductDescriptionUsingL2similarityRef(dcOrVars, vars)); +}; + +function searchProductNameUsingL2similarityRef(dcOrVars, vars) { + const { dc: dcInstance, vars: inputVars} = validateArgs(connectorConfig, dcOrVars, vars, true); + if('_useGeneratedSdk' in dcInstance) { + dcInstance._useGeneratedSdk(); + } else { + console.error('Please update to the latest version of the Data Connect SDK by running `npm install firebase@dataconnect-preview`.'); + } + return queryRef(dcInstance, 'SearchProductNameUsingL2Similarity', inputVars); +} +exports.searchProductNameUsingL2similarityRef = searchProductNameUsingL2similarityRef; +exports.searchProductNameUsingL2similarity = function searchProductNameUsingL2similarity(dcOrVars, vars) { + return executeQuery(searchProductNameUsingL2similarityRef(dcOrVars, vars)); +}; + +function searchReviewContentUsingL2similarityRef(dcOrVars, vars) { + const { dc: dcInstance, vars: inputVars} = validateArgs(connectorConfig, dcOrVars, vars, true); + if('_useGeneratedSdk' in dcInstance) { + dcInstance._useGeneratedSdk(); + } else { + console.error('Please update to the latest version of the Data Connect SDK by running `npm install firebase@dataconnect-preview`.'); + } + return queryRef(dcInstance, 'SearchReviewContentUsingL2Similarity', inputVars); +} +exports.searchReviewContentUsingL2similarityRef = searchReviewContentUsingL2similarityRef; +exports.searchReviewContentUsingL2similarity = function searchReviewContentUsingL2similarity(dcOrVars, vars) { + return executeQuery(searchReviewContentUsingL2similarityRef(dcOrVars, vars)); +}; + diff --git a/starters/nextjs/shopify-ecommerce/dataconnect-generated/js/ecommerce-template/index.d.ts b/starters/nextjs/shopify-ecommerce/dataconnect-generated/js/ecommerce-template/index.d.ts new file mode 100644 index 00000000..97f7588a --- /dev/null +++ b/starters/nextjs/shopify-ecommerce/dataconnect-generated/js/ecommerce-template/index.d.ts @@ -0,0 +1,262 @@ +import { ConnectorConfig, DataConnect, QueryRef, QueryPromise, MutationRef, MutationPromise } from 'firebase/data-connect'; +export const connectorConfig: ConnectorConfig; + +export type TimestampString = string; + +export type UUIDString = string; + +export type Int64String = string; + +export type DateString = string; + + +export interface CreateProductData { + product_insert: Product_Key; +} + +export interface CreateProductVariables { + productID: string; + productSlug: string; + name: string; + description: string; + price: number; +} + +export interface CreateReviewData { + review_insert: Review_Key; +} + +export interface CreateReviewVariables { + productID: string; + productSlug: string; + productName: string; + userID: string; + userName: string; + rating: number; + content: string; +} + +export interface DeleteProductData { + product_delete?: Product_Key | null; +} + +export interface DeleteProductVariables { + id: UUIDString; +} + +export interface DeleteReviewData { + review_delete?: Review_Key | null; +} + +export interface DeleteReviewVariables { + id: UUIDString; +} + +export interface GetProductReviewsData { + reviews: ({ + id: UUIDString; + productID: string; + productSlug: string; + productName: string; + rating: number; + content: string; + contentEmbedding: { + }; + createdAt: DateString; + userID: string; + userName: string; + } & Review_Key)[]; +} + +export interface GetProductReviewsVariables { + productId: string; +} + +export interface Product_Key { + id: UUIDString; + __typename?: 'Product_Key'; +} + +export interface Review_Key { + id: UUIDString; + __typename?: 'Review_Key'; +} + +export interface SearchProductDescriptionUsingL2similarityData { + products_descriptionEmbedding_similarity: ({ + productID: string; + productSlug: string; + productName: string; + })[]; +} + +export interface SearchProductDescriptionUsingL2similarityVariables { + query: string; +} + +export interface SearchProductNameUsingL2similarityData { + products_nameEmbedding_similarity: ({ + productID: string; + productSlug: string; + productName: string; + })[]; +} + +export interface SearchProductNameUsingL2similarityVariables { + query: string; +} + +export interface SearchProductsData { + products: ({ + id: UUIDString; + productID: string; + productSlug: string; + productName: string; + name: string; + price: number; + description: string; + descriptionEmbedding: { + }; + } & Product_Key)[]; +} + +export interface SearchProductsVariables { + nameInput?: string | null; +} + +export interface SearchReviewContentUsingL2similarityData { + reviews_contentEmbedding_similarity: ({ + productID: string; + productSlug: string; + productName: string; + })[]; +} + +export interface SearchReviewContentUsingL2similarityVariables { + query: string; +} + +export interface UpdateProductData { + product_update?: Product_Key | null; +} + +export interface UpdateProductVariables { + id: UUIDString; + name: string; + description: string; + price: number; + productID: string; + productSlug: string; +} + +export interface UpdateReviewData { + review_update?: Review_Key | null; +} + +export interface UpdateReviewVariables { + id: UUIDString; + rating: number; + content: string; +} + + + +/* Allow users to create refs without passing in DataConnect */ +export function createProductRef(vars: CreateProductVariables): MutationRef; +/* Allow users to pass in custom DataConnect instances */ +export function createProductRef(dc: DataConnect, vars: CreateProductVariables): MutationRef; + +export function createProduct(vars: CreateProductVariables): MutationPromise; +export function createProduct(dc: DataConnect, vars: CreateProductVariables): MutationPromise; + + +/* Allow users to create refs without passing in DataConnect */ +export function updateProductRef(vars: UpdateProductVariables): MutationRef; +/* Allow users to pass in custom DataConnect instances */ +export function updateProductRef(dc: DataConnect, vars: UpdateProductVariables): MutationRef; + +export function updateProduct(vars: UpdateProductVariables): MutationPromise; +export function updateProduct(dc: DataConnect, vars: UpdateProductVariables): MutationPromise; + + +/* Allow users to create refs without passing in DataConnect */ +export function deleteProductRef(vars: DeleteProductVariables): MutationRef; +/* Allow users to pass in custom DataConnect instances */ +export function deleteProductRef(dc: DataConnect, vars: DeleteProductVariables): MutationRef; + +export function deleteProduct(vars: DeleteProductVariables): MutationPromise; +export function deleteProduct(dc: DataConnect, vars: DeleteProductVariables): MutationPromise; + + +/* Allow users to create refs without passing in DataConnect */ +export function createReviewRef(vars: CreateReviewVariables): MutationRef; +/* Allow users to pass in custom DataConnect instances */ +export function createReviewRef(dc: DataConnect, vars: CreateReviewVariables): MutationRef; + +export function createReview(vars: CreateReviewVariables): MutationPromise; +export function createReview(dc: DataConnect, vars: CreateReviewVariables): MutationPromise; + + +/* Allow users to create refs without passing in DataConnect */ +export function updateReviewRef(vars: UpdateReviewVariables): MutationRef; +/* Allow users to pass in custom DataConnect instances */ +export function updateReviewRef(dc: DataConnect, vars: UpdateReviewVariables): MutationRef; + +export function updateReview(vars: UpdateReviewVariables): MutationPromise; +export function updateReview(dc: DataConnect, vars: UpdateReviewVariables): MutationPromise; + + +/* Allow users to create refs without passing in DataConnect */ +export function deleteReviewRef(vars: DeleteReviewVariables): MutationRef; +/* Allow users to pass in custom DataConnect instances */ +export function deleteReviewRef(dc: DataConnect, vars: DeleteReviewVariables): MutationRef; + +export function deleteReview(vars: DeleteReviewVariables): MutationPromise; +export function deleteReview(dc: DataConnect, vars: DeleteReviewVariables): MutationPromise; + + +/* Allow users to create refs without passing in DataConnect */ +export function searchProductsRef(vars?: SearchProductsVariables): QueryRef; +/* Allow users to pass in custom DataConnect instances */ +export function searchProductsRef(dc: DataConnect, vars?: SearchProductsVariables): QueryRef; + +export function searchProducts(vars?: SearchProductsVariables): QueryPromise; +export function searchProducts(dc: DataConnect, vars?: SearchProductsVariables): QueryPromise; + + +/* Allow users to create refs without passing in DataConnect */ +export function getProductReviewsRef(vars: GetProductReviewsVariables): QueryRef; +/* Allow users to pass in custom DataConnect instances */ +export function getProductReviewsRef(dc: DataConnect, vars: GetProductReviewsVariables): QueryRef; + +export function getProductReviews(vars: GetProductReviewsVariables): QueryPromise; +export function getProductReviews(dc: DataConnect, vars: GetProductReviewsVariables): QueryPromise; + + +/* Allow users to create refs without passing in DataConnect */ +export function searchProductDescriptionUsingL2similarityRef(vars: SearchProductDescriptionUsingL2similarityVariables): QueryRef; +/* Allow users to pass in custom DataConnect instances */ +export function searchProductDescriptionUsingL2similarityRef(dc: DataConnect, vars: SearchProductDescriptionUsingL2similarityVariables): QueryRef; + +export function searchProductDescriptionUsingL2similarity(vars: SearchProductDescriptionUsingL2similarityVariables): QueryPromise; +export function searchProductDescriptionUsingL2similarity(dc: DataConnect, vars: SearchProductDescriptionUsingL2similarityVariables): QueryPromise; + + +/* Allow users to create refs without passing in DataConnect */ +export function searchProductNameUsingL2similarityRef(vars: SearchProductNameUsingL2similarityVariables): QueryRef; +/* Allow users to pass in custom DataConnect instances */ +export function searchProductNameUsingL2similarityRef(dc: DataConnect, vars: SearchProductNameUsingL2similarityVariables): QueryRef; + +export function searchProductNameUsingL2similarity(vars: SearchProductNameUsingL2similarityVariables): QueryPromise; +export function searchProductNameUsingL2similarity(dc: DataConnect, vars: SearchProductNameUsingL2similarityVariables): QueryPromise; + + +/* Allow users to create refs without passing in DataConnect */ +export function searchReviewContentUsingL2similarityRef(vars: SearchReviewContentUsingL2similarityVariables): QueryRef; +/* Allow users to pass in custom DataConnect instances */ +export function searchReviewContentUsingL2similarityRef(dc: DataConnect, vars: SearchReviewContentUsingL2similarityVariables): QueryRef; + +export function searchReviewContentUsingL2similarity(vars: SearchReviewContentUsingL2similarityVariables): QueryPromise; +export function searchReviewContentUsingL2similarity(dc: DataConnect, vars: SearchReviewContentUsingL2similarityVariables): QueryPromise; + + diff --git a/starters/nextjs/shopify-ecommerce/dataconnect-generated/js/ecommerce-template/package.json b/starters/nextjs/shopify-ecommerce/dataconnect-generated/js/ecommerce-template/package.json new file mode 100644 index 00000000..dc4bf1ef --- /dev/null +++ b/starters/nextjs/shopify-ecommerce/dataconnect-generated/js/ecommerce-template/package.json @@ -0,0 +1,25 @@ +{ + "name": "@dataconnect/ecommerce-template", + "version": "1.0.0", + "author": "Firebase (https://firebase.google.com/)", + "description": "Generated SDK For ecommerce-template", + "license": "Apache-2.0", + "engines": { + "node": " >=20.0" + }, + "typings": "index.d.ts", + "module": "esm/index.esm.js", + "main": "index.cjs.js", + "browser": "esm/index.esm.js", + "exports": { + ".": { + "types": "./index.d.ts", + "require": "./index.cjs.js", + "default": "./esm/index.esm.js" + }, + "./package.json": "./package.json" + }, + "peerDependencies": { + "firebase": "dataconnect-preview" + } +} \ No newline at end of file diff --git a/starters/nextjs/shopify-ecommerce/dataconnect/.dataconnect/schema/main/input.gql b/starters/nextjs/shopify-ecommerce/dataconnect/.dataconnect/schema/main/input.gql new file mode 100644 index 00000000..037e0876 --- /dev/null +++ b/starters/nextjs/shopify-ecommerce/dataconnect/.dataconnect/schema/main/input.gql @@ -0,0 +1,428 @@ +""" +✨ `Product_KeyOutput` returns the primary key fields of table type `Product`. + +It has the same format as `Product_Key`, but is only used as mutation return value. +""" +scalar Product_KeyOutput +""" +✨ `Review_KeyOutput` returns the primary key fields of table type `Review`. + +It has the same format as `Review_Key`, but is only used as mutation return value. +""" +scalar Review_KeyOutput +""" +✨ Generated data input type for table 'Product'. It includes all necessary fields for creating or upserting rows into table. +""" +input Product_Data { + """ + ✨ Generated from Field `Product`.`id` of type `UUID!` + """ + id: UUID + """ + ✨ `_expr` server value variant of `id` (✨ Generated from Field `Product`.`id` of type `UUID!`) + """ + id_expr: UUID_Expr + """ + ✨ Generated from Field `Product`.`description` of type `String!` + """ + description: String + """ + ✨ `_expr` server value variant of `description` (✨ Generated from Field `Product`.`description` of type `String!`) + """ + description_expr: String_Expr + """ + ✨ Generated from Field `Product`.`descriptionEmbedding` of type `Vector!` + """ + descriptionEmbedding: Vector + """ + ✨ `_embed` server value variant of `descriptionEmbedding` (✨ Generated from Field `Product`.`descriptionEmbedding` of type `Vector!`) + """ + descriptionEmbedding_embed: Vector_Embed + """ + ✨ Generated from Field `Product`.`name` of type `String!` + """ + name: String + """ + ✨ `_expr` server value variant of `name` (✨ Generated from Field `Product`.`name` of type `String!`) + """ + name_expr: String_Expr + """ + ✨ Generated from Field `Product`.`nameEmbedding` of type `Vector!` + """ + nameEmbedding: Vector + """ + ✨ `_embed` server value variant of `nameEmbedding` (✨ Generated from Field `Product`.`nameEmbedding` of type `Vector!`) + """ + nameEmbedding_embed: Vector_Embed + """ + ✨ Generated from Field `Product`.`price` of type `Float!` + """ + price: Float + """ + ✨ Generated from Field `Product`.`productID` of type `String!` + """ + productID: String + """ + ✨ `_expr` server value variant of `productID` (✨ Generated from Field `Product`.`productID` of type `String!`) + """ + productID_expr: String_Expr + """ + ✨ Generated from Field `Product`.`productSlug` of type `String!` + """ + productSlug: String + """ + ✨ `_expr` server value variant of `productSlug` (✨ Generated from Field `Product`.`productSlug` of type `String!`) + """ + productSlug_expr: String_Expr +} +""" +✨ Generated filter input type for table 'Product'. This input allows filtering objects using various conditions. Use `_or`, `_and`, and `_not` to compose complex filters. +""" +input Product_Filter { + """ + Apply multiple filter conditions using `AND` logic. + """ + _and: [Product_Filter!] + """ + Negate the result of the provided filter condition. + """ + _not: Product_Filter + """ + Apply multiple filter conditions using `OR` logic. + """ + _or: [Product_Filter!] + """ + ✨ Generated from Field `Product`.`id` of type `UUID!` + """ + id: UUID_Filter + """ + ✨ Generated from Field `Product`.`description` of type `String!` + """ + description: String_Filter + """ + ✨ Generated from Field `Product`.`descriptionEmbedding` of type `Vector!` + """ + descriptionEmbedding: Vector_Filter + """ + ✨ Generated from Field `Product`.`name` of type `String!` + """ + name: String_Filter + """ + ✨ Generated from Field `Product`.`nameEmbedding` of type `Vector!` + """ + nameEmbedding: Vector_Filter + """ + ✨ Generated from Field `Product`.`price` of type `Float!` + """ + price: Float_Filter + """ + ✨ Generated from Field `Product`.`productID` of type `String!` + """ + productID: String_Filter + """ + ✨ Generated from Field `Product`.`productSlug` of type `String!` + """ + productSlug: String_Filter +} +""" +✨ Generated first-row input type for table 'Product'. This input selects the first row matching the filter criteria, ordered according to the specified conditions. +""" +input Product_FirstRow { + """ + Order the result by the specified fields. + """ + orderBy: [Product_Order!] + """ + Filters rows based on the specified conditions. + """ + where: Product_Filter +} +""" +✨ Generated key input type for table 'Product'. It represents the primary key fields used to uniquely identify a row in the table. +""" +input Product_Key { + """ + ✨ Generated from Field `Product`.`id` of type `UUID!` + """ + id: UUID + """ + ✨ `_expr` server value variant of `id` (✨ Generated from Field `Product`.`id` of type `UUID!`) + """ + id_expr: UUID_Expr +} +""" +✨ Generated list filter input type for table 'Product'. This input applies filtering logic based on the count or existence of related objects that matches certain criteria. +""" +input Product_ListFilter { + """ + The desired number of objects that match the condition (defaults to at least one). + """ + count: Int_Filter = {gt:0} + """ + Condition of the related objects to filter for. + """ + exist: Product_Filter +} +""" +✨ Generated order input type for table 'Product'. This input defines the sorting order of rows in query results based on one or more fields. +""" +input Product_Order { + """ + ✨ Generated from Field `Product`.`id` of type `UUID!` + """ + id: OrderDirection + """ + ✨ Generated from Field `Product`.`description` of type `String!` + """ + description: OrderDirection + """ + ✨ Generated from Field `Product`.`descriptionEmbedding` of type `Vector!` + """ + descriptionEmbedding: OrderDirection + """ + ✨ Generated from Field `Product`.`name` of type `String!` + """ + name: OrderDirection + """ + ✨ Generated from Field `Product`.`nameEmbedding` of type `Vector!` + """ + nameEmbedding: OrderDirection + """ + ✨ Generated from Field `Product`.`price` of type `Float!` + """ + price: OrderDirection + """ + ✨ Generated from Field `Product`.`productID` of type `String!` + """ + productID: OrderDirection + """ + ✨ Generated from Field `Product`.`productSlug` of type `String!` + """ + productSlug: OrderDirection +} +""" +✨ Generated data input type for table 'Review'. It includes all necessary fields for creating or upserting rows into table. +""" +input Review_Data { + """ + ✨ Generated from Field `Review`.`id` of type `UUID!` + """ + id: UUID + """ + ✨ `_expr` server value variant of `id` (✨ Generated from Field `Review`.`id` of type `UUID!`) + """ + id_expr: UUID_Expr + """ + ✨ Generated from Field `Review`.`content` of type `String!` + """ + content: String + """ + ✨ `_expr` server value variant of `content` (✨ Generated from Field `Review`.`content` of type `String!`) + """ + content_expr: String_Expr + """ + ✨ Generated from Field `Review`.`contentEmbedding` of type `Vector!` + """ + contentEmbedding: Vector + """ + ✨ `_embed` server value variant of `contentEmbedding` (✨ Generated from Field `Review`.`contentEmbedding` of type `Vector!`) + """ + contentEmbedding_embed: Vector_Embed + """ + ✨ Generated from Field `Review`.`createdAt` of type `Date!` + """ + createdAt: Date + """ + ✨ `_date` server value variant of `createdAt` (✨ Generated from Field `Review`.`createdAt` of type `Date!`) + """ + createdAt_date: Date_Relative + """ + ✨ `_expr` server value variant of `createdAt` (✨ Generated from Field `Review`.`createdAt` of type `Date!`) + """ + createdAt_expr: Date_Expr + """ + ✨ Generated from Field `Review`.`productID` of type `String!` + """ + productID: String + """ + ✨ `_expr` server value variant of `productID` (✨ Generated from Field `Review`.`productID` of type `String!`) + """ + productID_expr: String_Expr + """ + ✨ Generated from Field `Review`.`productName` of type `String!` + """ + productName: String + """ + ✨ `_expr` server value variant of `productName` (✨ Generated from Field `Review`.`productName` of type `String!`) + """ + productName_expr: String_Expr + """ + ✨ Generated from Field `Review`.`productSlug` of type `String!` + """ + productSlug: String + """ + ✨ `_expr` server value variant of `productSlug` (✨ Generated from Field `Review`.`productSlug` of type `String!`) + """ + productSlug_expr: String_Expr + """ + ✨ Generated from Field `Review`.`rating` of type `Float!` + """ + rating: Float + """ + ✨ Generated from Field `Review`.`userID` of type `String!` + """ + userID: String + """ + ✨ `_expr` server value variant of `userID` (✨ Generated from Field `Review`.`userID` of type `String!`) + """ + userID_expr: String_Expr + """ + ✨ Generated from Field `Review`.`userName` of type `String!` + """ + userName: String + """ + ✨ `_expr` server value variant of `userName` (✨ Generated from Field `Review`.`userName` of type `String!`) + """ + userName_expr: String_Expr +} +""" +✨ Generated filter input type for table 'Review'. This input allows filtering objects using various conditions. Use `_or`, `_and`, and `_not` to compose complex filters. +""" +input Review_Filter { + """ + Apply multiple filter conditions using `AND` logic. + """ + _and: [Review_Filter!] + """ + Negate the result of the provided filter condition. + """ + _not: Review_Filter + """ + Apply multiple filter conditions using `OR` logic. + """ + _or: [Review_Filter!] + """ + ✨ Generated from Field `Review`.`id` of type `UUID!` + """ + id: UUID_Filter + """ + ✨ Generated from Field `Review`.`content` of type `String!` + """ + content: String_Filter + """ + ✨ Generated from Field `Review`.`contentEmbedding` of type `Vector!` + """ + contentEmbedding: Vector_Filter + """ + ✨ Generated from Field `Review`.`createdAt` of type `Date!` + """ + createdAt: Date_Filter + """ + ✨ Generated from Field `Review`.`productID` of type `String!` + """ + productID: String_Filter + """ + ✨ Generated from Field `Review`.`productName` of type `String!` + """ + productName: String_Filter + """ + ✨ Generated from Field `Review`.`productSlug` of type `String!` + """ + productSlug: String_Filter + """ + ✨ Generated from Field `Review`.`rating` of type `Float!` + """ + rating: Float_Filter + """ + ✨ Generated from Field `Review`.`userID` of type `String!` + """ + userID: String_Filter + """ + ✨ Generated from Field `Review`.`userName` of type `String!` + """ + userName: String_Filter +} +""" +✨ Generated first-row input type for table 'Review'. This input selects the first row matching the filter criteria, ordered according to the specified conditions. +""" +input Review_FirstRow { + """ + Order the result by the specified fields. + """ + orderBy: [Review_Order!] + """ + Filters rows based on the specified conditions. + """ + where: Review_Filter +} +""" +✨ Generated key input type for table 'Review'. It represents the primary key fields used to uniquely identify a row in the table. +""" +input Review_Key { + """ + ✨ Generated from Field `Review`.`id` of type `UUID!` + """ + id: UUID + """ + ✨ `_expr` server value variant of `id` (✨ Generated from Field `Review`.`id` of type `UUID!`) + """ + id_expr: UUID_Expr +} +""" +✨ Generated list filter input type for table 'Review'. This input applies filtering logic based on the count or existence of related objects that matches certain criteria. +""" +input Review_ListFilter { + """ + The desired number of objects that match the condition (defaults to at least one). + """ + count: Int_Filter = {gt:0} + """ + Condition of the related objects to filter for. + """ + exist: Review_Filter +} +""" +✨ Generated order input type for table 'Review'. This input defines the sorting order of rows in query results based on one or more fields. +""" +input Review_Order { + """ + ✨ Generated from Field `Review`.`id` of type `UUID!` + """ + id: OrderDirection + """ + ✨ Generated from Field `Review`.`content` of type `String!` + """ + content: OrderDirection + """ + ✨ Generated from Field `Review`.`contentEmbedding` of type `Vector!` + """ + contentEmbedding: OrderDirection + """ + ✨ Generated from Field `Review`.`createdAt` of type `Date!` + """ + createdAt: OrderDirection + """ + ✨ Generated from Field `Review`.`productID` of type `String!` + """ + productID: OrderDirection + """ + ✨ Generated from Field `Review`.`productName` of type `String!` + """ + productName: OrderDirection + """ + ✨ Generated from Field `Review`.`productSlug` of type `String!` + """ + productSlug: OrderDirection + """ + ✨ Generated from Field `Review`.`rating` of type `Float!` + """ + rating: OrderDirection + """ + ✨ Generated from Field `Review`.`userID` of type `String!` + """ + userID: OrderDirection + """ + ✨ Generated from Field `Review`.`userName` of type `String!` + """ + userName: OrderDirection +} diff --git a/starters/nextjs/shopify-ecommerce/dataconnect/.dataconnect/schema/main/mutation.gql b/starters/nextjs/shopify-ecommerce/dataconnect/.dataconnect/schema/main/mutation.gql new file mode 100644 index 00000000..e6047c25 --- /dev/null +++ b/starters/nextjs/shopify-ecommerce/dataconnect/.dataconnect/schema/main/mutation.gql @@ -0,0 +1,226 @@ +extend type Mutation { + """ + ✨ Insert a single `Product` into the table. Columns not specified in `data` will receive defaults (e.g. `null`). + """ + product_insert( + """ + Data object to insert into the table. + """ + data: Product_Data! + ): Product_KeyOutput! @fdc_generated(from: "Product", purpose: INSERT_SINGLE) + """ + ✨ Insert a single `Review` into the table. Columns not specified in `data` will receive defaults (e.g. `null`). + """ + review_insert( + """ + Data object to insert into the table. + """ + data: Review_Data! + ): Review_KeyOutput! @fdc_generated(from: "Review", purpose: INSERT_SINGLE) + """ + ✨ Insert `Product` objects into the table. Columns not specified in `data` will receive defaults (e.g. `null`). + """ + product_insertMany( + """ + List of data objects to insert into the table. + """ + data: [Product_Data!]! + ): [Product_KeyOutput!]! @fdc_generated(from: "Product", purpose: INSERT_MULTIPLE) + """ + ✨ Insert `Review` objects into the table. Columns not specified in `data` will receive defaults (e.g. `null`). + """ + review_insertMany( + """ + List of data objects to insert into the table. + """ + data: [Review_Data!]! + ): [Review_KeyOutput!]! @fdc_generated(from: "Review", purpose: INSERT_MULTIPLE) + """ + ✨ Insert or update a single `Product` into the table, based on the primary key. Returns the key of the newly inserted `Product`. + """ + product_upsert( + """ + Data object to insert or update if it already exists. + """ + data: Product_Data! + ): Product_KeyOutput! @fdc_generated(from: "Product", purpose: UPSERT_SINGLE) + """ + ✨ Insert or update a single `Review` into the table, based on the primary key. Returns the key of the newly inserted `Review`. + """ + review_upsert( + """ + Data object to insert or update if it already exists. + """ + data: Review_Data! + ): Review_KeyOutput! @fdc_generated(from: "Review", purpose: UPSERT_SINGLE) + """ + ✨ Insert or update `Product` objects into the table, based on the primary key. Returns the key of the newly inserted `Product`. + """ + product_upsertMany( + """ + List of data objects to insert or update if it already exists. + """ + data: [Product_Data!]! + ): [Product_KeyOutput!]! @fdc_generated(from: "Product", purpose: UPSERT_MULTIPLE) + """ + ✨ Insert or update `Review` objects into the table, based on the primary key. Returns the key of the newly inserted `Review`. + """ + review_upsertMany( + """ + List of data objects to insert or update if it already exists. + """ + data: [Review_Data!]! + ): [Review_KeyOutput!]! @fdc_generated(from: "Review", purpose: UPSERT_MULTIPLE) + """ + ✨ Update a single `Product` based on `id`, `key` or `first`, setting columns specified in `data`. Returns `null` if not found. + """ + product_update( + """ + The unique ID of the object. + """ + id: UUID + + """ + The key used to identify the object. + """ + key: Product_Key + + """ + Fetch the first row based on the filters and ordering. + """ + first: Product_FirstRow + + """ + Data object containing fields to be updated. + """ + data: Product_Data! + ): Product_KeyOutput @fdc_generated(from: "Product", purpose: UPDATE_SINGLE) + """ + ✨ Update a single `Review` based on `id`, `key` or `first`, setting columns specified in `data`. Returns `null` if not found. + """ + review_update( + """ + The unique ID of the object. + """ + id: UUID + + """ + The key used to identify the object. + """ + key: Review_Key + + """ + Fetch the first row based on the filters and ordering. + """ + first: Review_FirstRow + + """ + Data object containing fields to be updated. + """ + data: Review_Data! + ): Review_KeyOutput @fdc_generated(from: "Review", purpose: UPDATE_SINGLE) + """ + ✨ Update `Product` objects matching `where` conditions (or `all`, if true) according to `data`. Returns the number of rows updated. + """ + product_updateMany( + """ + Filter condition to specify which rows to update. + """ + where: Product_Filter + + """ + Set to true to update all rows. + """ + all: Boolean = false + + """ + Data object containing fields to update. + """ + data: Product_Data! + ): Int! @fdc_generated(from: "Product", purpose: UPDATE_MULTIPLE) + """ + ✨ Update `Review` objects matching `where` conditions (or `all`, if true) according to `data`. Returns the number of rows updated. + """ + review_updateMany( + """ + Filter condition to specify which rows to update. + """ + where: Review_Filter + + """ + Set to true to update all rows. + """ + all: Boolean = false + + """ + Data object containing fields to update. + """ + data: Review_Data! + ): Int! @fdc_generated(from: "Review", purpose: UPDATE_MULTIPLE) + """ + ✨ Delete a single `Product` based on `id`, `key` or `first` and return its key (or `null` if not found). + """ + product_delete( + """ + The unique ID of the object. + """ + id: UUID + + """ + The key used to identify the object. + """ + key: Product_Key + + """ + Fetch the first row based on the filters and ordering. + """ + first: Product_FirstRow + ): Product_KeyOutput @fdc_generated(from: "Product", purpose: DELETE_SINGLE) + """ + ✨ Delete a single `Review` based on `id`, `key` or `first` and return its key (or `null` if not found). + """ + review_delete( + """ + The unique ID of the object. + """ + id: UUID + + """ + The key used to identify the object. + """ + key: Review_Key + + """ + Fetch the first row based on the filters and ordering. + """ + first: Review_FirstRow + ): Review_KeyOutput @fdc_generated(from: "Review", purpose: DELETE_SINGLE) + """ + ✨ Delete `Product` objects matching `where` conditions (or `all`, if true). Returns the number of rows deleted. + """ + product_deleteMany( + """ + Filter condition to specify which rows to delete. + """ + where: Product_Filter + + """ + Set to true to delete all rows. + """ + all: Boolean = false + ): Int! @fdc_generated(from: "Product", purpose: DELETE_MULTIPLE) + """ + ✨ Delete `Review` objects matching `where` conditions (or `all`, if true). Returns the number of rows deleted. + """ + review_deleteMany( + """ + Filter condition to specify which rows to delete. + """ + where: Review_Filter + + """ + Set to true to delete all rows. + """ + all: Boolean = false + ): Int! @fdc_generated(from: "Review", purpose: DELETE_MULTIPLE) +} diff --git a/starters/nextjs/shopify-ecommerce/dataconnect/.dataconnect/schema/main/query.gql b/starters/nextjs/shopify-ecommerce/dataconnect/.dataconnect/schema/main/query.gql new file mode 100644 index 00000000..9483d11f --- /dev/null +++ b/starters/nextjs/shopify-ecommerce/dataconnect/.dataconnect/schema/main/query.gql @@ -0,0 +1,193 @@ +extend type Query { + """ + ✨ Look up a single `Product` based on `id`, `key` or `first` and return selected fields (or `null` if not found). + """ + product( + """ + The unique ID of the object. + """ + id: UUID + + """ + The key used to identify the object. + """ + key: Product_Key + + """ + Fetch the first row based on the filters and ordering. + """ + first: Product_FirstRow + ): Product @fdc_generated(from: "Product", purpose: QUERY_SINGLE) + """ + ✨ Look up a single `Review` based on `id`, `key` or `first` and return selected fields (or `null` if not found). + """ + review( + """ + The unique ID of the object. + """ + id: UUID + + """ + The key used to identify the object. + """ + key: Review_Key + + """ + Fetch the first row based on the filters and ordering. + """ + first: Review_FirstRow + ): Review @fdc_generated(from: "Review", purpose: QUERY_SINGLE) + """ + ✨ List `Product` objects in the table, optionally filtered by `where` conditions. + """ + products( + """ + Filter condition to narrow down the query results. + """ + where: Product_Filter + + """ + Order the query results by specific fields. + """ + orderBy: [Product_Order!] + + """ + Number of rows to skip before starting to return the results. + """ + offset: Int + + """ + Maximum number of rows to return (defaults to 100 rows). + """ + limit: Int = 100 + ): [Product!]! @fdc_generated(from: "Product", purpose: QUERY_MULTIPLE) + """ + ✨ List `Review` objects in the table, optionally filtered by `where` conditions. + """ + reviews( + """ + Filter condition to narrow down the query results. + """ + where: Review_Filter + + """ + Order the query results by specific fields. + """ + orderBy: [Review_Order!] + + """ + Number of rows to skip before starting to return the results. + """ + offset: Int + + """ + Maximum number of rows to return (defaults to 100 rows). + """ + limit: Int = 100 + ): [Review!]! @fdc_generated(from: "Review", purpose: QUERY_MULTIPLE) + """ + ✨ List `Product` objects ordered by vector similarity between the `descriptionEmbedding` field and `compare_embed`. + (Alternatively, `compare` can be used if the input is a raw Vector.) + """ + products_descriptionEmbedding_similarity( + """ + Vector to compare with the stored vectors. + """ + compare: Vector + + """ + ✨ `_embed` server value variant of `compare` (Vector to compare with the stored vectors.) + """ + compare_embed: Vector_Embed + + """ + Similarity method to use for vector comparison (defaults to `INNER_PRODUCT`). + """ + method: VectorSimilarityMethod = INNER_PRODUCT + + """ + Threshold for distance comparison. + """ + within: Float + + """ + Filter condition to apply when searching for similar vectors. + """ + where: Product_Filter + + """ + Limit the number of similar vectors returned (defaults to 100 rows). + """ + limit: Int = 100 + ): [Product!]! @fdc_generated(from: "Product.descriptionEmbedding", purpose: QUERY_MULTIPLE_BY_SIMILARITY) + """ + ✨ List `Product` objects ordered by vector similarity between the `nameEmbedding` field and `compare_embed`. + (Alternatively, `compare` can be used if the input is a raw Vector.) + """ + products_nameEmbedding_similarity( + """ + Vector to compare with the stored vectors. + """ + compare: Vector + + """ + ✨ `_embed` server value variant of `compare` (Vector to compare with the stored vectors.) + """ + compare_embed: Vector_Embed + + """ + Similarity method to use for vector comparison (defaults to `INNER_PRODUCT`). + """ + method: VectorSimilarityMethod = INNER_PRODUCT + + """ + Threshold for distance comparison. + """ + within: Float + + """ + Filter condition to apply when searching for similar vectors. + """ + where: Product_Filter + + """ + Limit the number of similar vectors returned (defaults to 100 rows). + """ + limit: Int = 100 + ): [Product!]! @fdc_generated(from: "Product.nameEmbedding", purpose: QUERY_MULTIPLE_BY_SIMILARITY) + """ + ✨ List `Review` objects ordered by vector similarity between the `contentEmbedding` field and `compare_embed`. + (Alternatively, `compare` can be used if the input is a raw Vector.) + """ + reviews_contentEmbedding_similarity( + """ + Vector to compare with the stored vectors. + """ + compare: Vector + + """ + ✨ `_embed` server value variant of `compare` (Vector to compare with the stored vectors.) + """ + compare_embed: Vector_Embed + + """ + Similarity method to use for vector comparison (defaults to `INNER_PRODUCT`). + """ + method: VectorSimilarityMethod = INNER_PRODUCT + + """ + Threshold for distance comparison. + """ + within: Float + + """ + Filter condition to apply when searching for similar vectors. + """ + where: Review_Filter + + """ + Limit the number of similar vectors returned (defaults to 100 rows). + """ + limit: Int = 100 + ): [Review!]! @fdc_generated(from: "Review.contentEmbedding", purpose: QUERY_MULTIPLE_BY_SIMILARITY) +} diff --git a/starters/nextjs/shopify-ecommerce/dataconnect/.dataconnect/schema/prelude.gql b/starters/nextjs/shopify-ecommerce/dataconnect/.dataconnect/schema/prelude.gql new file mode 100644 index 00000000..bc21c044 --- /dev/null +++ b/starters/nextjs/shopify-ecommerce/dataconnect/.dataconnect/schema/prelude.gql @@ -0,0 +1,2006 @@ +"AccessLevel specifies coarse access policies for common situations." +enum AccessLevel { + """ + This operation is accessible to anyone, with or without authentication. + Equivalent to: `@auth(expr: "true")` + """ + PUBLIC + + """ + This operation can be executed only with a valid Firebase Auth ID token. + **Note:** This access level allows anonymous and unverified accounts, + which may present security and abuse risks. + Equivalent to: `@auth(expr: "auth.uid != nil")` + """ + USER_ANON + + """ + This operation is restricted to non-anonymous Firebase Auth accounts. + Equivalent to: `@auth(expr: "auth.uid != nil && auth.token.firebase.sign_in_provider != 'anonymous'")` + """ + USER + + """ + This operation is restricted to Firebase Auth accounts with verified email addresses. + Equivalent to: `@auth(expr: "auth.uid != nil && auth.token.email_verified")` + """ + USER_EMAIL_VERIFIED + + """ + This operation cannot be executed by anyone. The operation can only be performed + by using the Admin SDK from a privileged environment. + Equivalent to: `@auth(expr: "false")` + """ + NO_ACCESS +} + +""" +The `@auth` directive defines the authentication policy for a query or mutation. + +It must be added to any operation that you wish to be accessible from a client +application. If not specified, the operation defaults to `@auth(level: NO_ACCESS)`. + +Refer to [Data Connect Auth Guide](https://firebase.google.com/docs/data-connect/authorization-and-security) for the best practices. +""" +directive @auth( + """ + The minimal level of access required to perform this operation. + Exactly one of `level` and `expr` should be specified. + """ + level: AccessLevel @fdc_oneOf(required: true) + """ + A CEL expression that grants access to this operation if the expression + evaluates to `true`. + Exactly one of `level` and `expr` should be specified. + """ + expr: Boolean_Expr @fdc_oneOf(required: true) +) on QUERY | MUTATION + + +""" +Require that this mutation always run in a DB transaction. + +Mutations with `@transaction` are guaranteed to either fully succeed or fully +fail. If any of the fields within the transaction fails, the entire transaction +is rolled back. From a client standpoint, any failure behaves as if the entire +request had failed with a request error and execution had not begun. + +Mutations without `@transaction` would execute each root field one after +another in sequence. It surfaces any errors as partial [field errors](https://spec.graphql.org/October2021/#sec-Errors.Field-errors), +but not impacts the subsequent executions. + +The `@transaction` directive cannot be added to queries for now. +Currently, queries cannot fail partially, the response data is not guaranteed +to be a consistent snapshot. +""" +directive @transaction on MUTATION + +"Query filter criteria for `String` scalar fields." +input String_Filter { + "When true, match if field `IS NULL`. When false, match if field is `NOT NULL`." + isNull: Boolean + "Match if field is exactly equal to provided value." + eq: String @fdc_oneOf(group: "eq") + """ + Match if field is exactly equal to the result of the provided server value + expression. Currently only `auth.uid` is supported as an expression. + """ + eq_expr: String_Expr @fdc_oneOf(group: "eq") + "Match if field is not equal to provided value." + ne: String @fdc_oneOf(group: "ne") + """ + Match if field is not equal to the result of the provided server value + expression. Currently only `auth.uid` is supported as an expression. + """ + ne_expr: String_Expr @fdc_oneOf(group: "ne") + "Match if field value is among the provided list of values." + in: [String!] + "Match if field value is not among the provided list of values." + nin: [String!] + "Match if field value is greater than the provided value." + gt: String + "Match if field value is greater than or equal to the provided value." + ge: String + "Match if field value is less than the provided value." + lt: String + "Match if field value is less than or equal to the provided value." + le: String + """ + Match if field value contains the provided value as a substring. Equivalent + to `LIKE '%value%'` + """ + contains: String + """ + Match if field value starts with the provided value. Equivalent to + `LIKE 'value%'` + """ + startsWith: String + """ + Match if field value ends with the provided value. Equivalent to + `LIKE '%value'` + """ + endsWith: String +} + +"Query filter criteris for `[String!]` scalar fields." +input String_ListFilter { + "Match if list field contains the provided value as a member." + includes: String + "Match if list field does not contain the provided value as a member." + excludes: String + "Match if list field contains all of the provided values as members." + includesAll: [String!] + "Match if list field does not contain any of the provided values as members." + excludesAll: [String!] +} + +"Query filter criteria for `UUID` scalar fields." +input UUID_Filter { + "When true, match if field `IS NULL`. When false, match if field is `NOT NULL`." + isNull: Boolean + "Match if field is exactly equal to provided value." + eq: UUID + "Match if field is not equal to provided value." + ne: UUID + "Match if field value is among the provided list of values." + in: [UUID!] + "Match if field value is not among the provided list of values." + nin: [UUID!] +} + +"Query filter criteris for `[UUID!]` scalar fields." +input UUID_ListFilter { + "Match if list field contains the provided value as a member." + includes: UUID + "Match if list field does not contain the provided value as a member." + excludes: UUID + "Match if list field contains all of the provided values as members." + includesAll: [UUID!] + "Match if list field does not contain any of the provided values as members." + excludesAll: [UUID!] +} + +"Query filter criteria for `Int` scalar fields." +input Int_Filter { + "When true, match if field `IS NULL`. When false, match if field is `NOT NULL`." + isNull: Boolean + "Match if field is exactly equal to provided value." + eq: Int + "Match if field is not equal to provided value." + ne: Int + "Match if field value is among the provided list of values." + in: [Int!] + "Match if field value is not among the provided list of values." + nin: [Int!] + "Match if field value is greater than the provided value." + gt: Int + "Match if field value is greater than or equal to the provided value." + ge: Int + "Match if field value is less than the provided value." + lt: Int + "Match if field value is less than or equal to the provided value." + le: Int +} + +"Query filter criteris for `[Int!]` scalar fields." +input Int_ListFilter { + "Match if list field contains the provided value as a member." + includes: Int + "Match if list field does not contain the provided value as a member." + excludes: Int + "Match if list field contains all of the provided values as members." + includesAll: [Int!] + "Match if list field does not contain any of the provided values as members." + excludesAll: [Int!] +} + +"Query filter criteria for `Int64` scalar fields." +input Int64_Filter { + "When true, match if field `IS NULL`. When false, match if field is `NOT NULL`." + isNull: Boolean + "Match if field is exactly equal to provided value." + eq: Int64 + "Match if field is not equal to provided value." + ne: Int64 + "Match if field value is among the provided list of values." + in: [Int64!] + "Match if field value is not among the provided list of values." + nin: [Int64!] + "Match if field value is greater than the provided value." + gt: Int64 + "Match if field value is greater than or equal to the provided value." + ge: Int64 + "Match if field value is less than the provided value." + lt: Int64 + "Match if field value is less than or equal to the provided value." + le: Int64 +} + +"Query filter criteria for `[Int64!]` scalar fields." +input Int64_ListFilter { + "Match if list field contains the provided value as a member." + includes: Int64 + "Match if list field does not contain the provided value as a member." + excludes: Int64 + "Match if list field contains all of the provided values as members." + includesAll: [Int64!] + "Match if list field does not contain any of the provided values as members." + excludesAll: [Int64!] +} + +"Query filter criteria for `Float` scalar fields." +input Float_Filter { + "When true, match if field `IS NULL`. When false, match if field is `NOT NULL`." + isNull: Boolean + "Match if field is exactly equal to provided value." + eq: Float + "Match if field is not equal to provided value." + ne: Float + "Match if field value is among the provided list of values." + in: [Float!] + "Match if field value is not among the provided list of values." + nin: [Float!] + "Match if field value is greater than the provided value." + gt: Float + "Match if field value is greater than or equal to the provided value." + ge: Float + "Match if field value is less than the provided value." + lt: Float + "Match if field value is less than or equal to the provided value." + le: Float +} + +"Query filter criteria for `[Float!]` scalar fields." +input Float_ListFilter { + "Match if list field contains the provided value as a member." + includes: Float + "Match if list field does not contain the provided value as a member." + excludes: Float + "Match if list field contains all of the provided values as members." + includesAll: [Float!] + "Match if list field does not contain any of the provided values as members." + excludesAll: [Float!] +} + +"Query filter criteria for `Boolean` scalar fields." +input Boolean_Filter { + "When true, match if field `IS NULL`. When false, match if field is `NOT NULL`." + isNull: Boolean + "Match if field is exactly equal to provided value." + eq: Boolean + "Match if field is not equal to provided value." + ne: Boolean + "Match if field value is among the provided list of values." + in: [Boolean!] + "Match if field value is not among the provided list of values." + nin: [Boolean!] +} + +"Query filter criteria for `[Boolean!]` scalar fields." +input Boolean_ListFilter { + "Match if list field contains the provided value as a member." + includes: Boolean + "Match if list field does not contain the provided value as a member." + excludes: Boolean + "Match if list field contains all of the provided values as members." + includesAll: [Boolean!] + "Match if list field does not contain any of the provided values as members." + excludesAll: [Boolean!] +} + +"Query filter criteria for `Any` scalar fields." +input Any_Filter { + "When true, match if field `IS NULL`. When false, match if field is `NOT NULL`." + isNull: Boolean + "Match if field is exactly equal to provided value." + eq: Any + "Match if field is not equal to provided value." + ne: Any + "Match if field value is among the provided list of values." + in: [Any!] + "Match if field value is not among the provided list of values." + nin: [Any!] +} + +"Query filter criteria for `[Any!]` scalar fields." +input Any_ListFilter { + "Match if list field contains the provided value as a member." + includes: Any + "Match if list field does not contain the provided value as a member." + excludes: Any + "Match if list field contains all of the provided values as members." + includesAll: [Any!] + "Match if list field does not contain any of the provided values as members." + excludesAll: [Any!] +} + +""" +(Internal) A string that uniquely identifies a type, field, and so on. + +The most common usage in FDC is `SomeType` or `SomeType.someField`. See the +linked page in the @specifiedBy directive for the GraphQL RFC with more details. +""" +scalar SchemaCoordinate + @specifiedBy(url: "https://github.com/graphql/graphql-wg/blob/6d02705dea034fb65ebc6799632adb7bd550d0aa/rfcs/SchemaCoordinates.md") + @fdc_forbiddenAsFieldType + @fdc_forbiddenAsVariableType + +"(Internal) The purpose of a generated type or field." +enum GeneratedPurpose { + # Implicit fields added to the table types as columns. + IMPLICIT_KEY_FIELD + IMPLICIT_REF_FIELD + + # Relational non-column fields extended to table types. + QUERY_MULTIPLE_ONE_TO_MANY + QUERY_MULTIPLE_MANY_TO_MANY + + # Top-level Query fields. + QUERY_SINGLE + QUERY_MULTIPLE + QUERY_MULTIPLE_BY_SIMILARITY + + # Top-level Mutation fields. + INSERT_SINGLE + INSERT_MULTIPLE + UPSERT_SINGLE + UPSERT_MULTIPLE + UPDATE_SINGLE + UPDATE_MULTIPLE + DELETE_SINGLE + DELETE_MULTIPLE +} + +"(Internal) Added to definitions generated by FDC." +directive @fdc_generated( + "The source type or field that causes this definition to be generated." + from: SchemaCoordinate! + "The reason why this definition is generated, such as the intended use case." + purpose: GeneratedPurpose! +) on + | SCALAR + | OBJECT + | FIELD_DEFINITION + | ARGUMENT_DEFINITION + | INTERFACE + | UNION + | ENUM + | ENUM_VALUE + | INPUT_OBJECT + | INPUT_FIELD_DEFINITION + +type _Service { + "Full Service Definition Language of the Frebase Data Connect Schema, including normalized schema, predefined and generated types." + sdl( + """ + Whether or not to omit Data Connect builtin GraphQL preludes. + They are static GraphQL publically available in the docsite. + """ + omitBuiltin: Boolean = false + """ + Whether or not to omit GQL description in the SDL. + We generate description to document generated schema. + It may bloat the size of SDL. + """ + omitDescription: Boolean = false + ): String! + "Orignal Schema Sources in the service." + schema: String! + "Generated documentation from the schema of the Firebase Data Connect Service." + docs: [_Doc!]! +} + +type _Doc { + "Name of the Doc Page." + page: String! + "The markdown content of the doc page." + markdown: String! +} + +"(Internal) Added to things that may be removed from FDC and will soon be no longer usable in schema or operations." +directive @fdc_deprecated(reason: String = "No longer supported") on + | SCHEMA + | SCALAR + | OBJECT + | FIELD_DEFINITION + | ARGUMENT_DEFINITION + | INTERFACE + | UNION + | ENUM + | ENUM_VALUE + | INPUT_OBJECT + | INPUT_FIELD_DEFINITION + +"(Internal) Added to scalars representing quoted CEL expressions." +directive @fdc_celExpression( + "The expected CEL type that the expression should evaluate to." + returnType: String +) on SCALAR + +"(Internal) Added to scalars representing quoted SQL expressions." +directive @fdc_sqlExpression( + "The expected SQL type that the expression should evaluate to." + dataType: String +) on SCALAR + +"(Internal) Added to types that may not be used as variables." +directive @fdc_forbiddenAsVariableType on SCALAR | OBJECT | INTERFACE | UNION | ENUM | INPUT_OBJECT + +"(Internal) Added to types that may not be used as fields in schema." +directive @fdc_forbiddenAsFieldType on SCALAR | OBJECT | INTERFACE | UNION | ENUM | INPUT_OBJECT + +"Provides a frequently used example for this type / field / argument." +directive @fdc_example( + "A GraphQL literal value (verbatim) whose type matches the target." + value: Any + "A human-readable text description of what `value` means in this context." + description: String +) repeatable on SCALAR | OBJECT | FIELD_DEFINITION | ARGUMENT_DEFINITION | INTERFACE | UNION | ENUM | INPUT_OBJECT | INPUT_FIELD_DEFINITION + +"(Internal) Marks this field / argument as conflicting with others in the same group." +directive @fdc_oneOf( + "The group name where fields / arguments conflict with each other." + group: String! = "" + "If true, exactly one field / argument in the group must be specified." + required: Boolean! = false +) repeatable on FIELD_DEFINITION | ARGUMENT_DEFINITION | INPUT_FIELD_DEFINITION + +""" +`UUID` is a string of hexadecimal digits representing an RFC4122-compliant UUID. + +UUIDs are always output as 32 lowercase hexadecimal digits without delimiters or +curly braces. +Inputs in the following formats are also accepted (case insensitive): + +- `xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx` +- `urn:uuid:xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx` +- `{xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx}` + +In the PostgreSQL table, it's stored as [`uuid`](https://www.postgresql.org/docs/current/datatype-uuid.html). +""" +scalar UUID @specifiedBy(url: "https://tools.ietf.org/html/rfc4122") + +""" +`Int64` is a scalar that represents a 64-bit signed integer. + +In the PostgreSQL table, it's stored as [`bigint`](https://www.postgresql.org/docs/current/datatype-numeric.html). + +On the wire, it's encoded as string because 64-bit integer exceeds the range of JSON number. +""" +scalar Int64 + +""" +The `Any` scalar type accommodates any valid [JSON value](https://www.json.org/json-en.html) +(e.g., numbers, strings, booleans, arrays, objects). PostgreSQL efficiently +stores this data as jsonb, providing flexibility for schemas with evolving structures. + +Caution: JSON doesn't distinguish Int and Float. + +##### Example: + +#### Schema + +```graphql +type Movie @table { + name: String! + metadata: Any! +} +``` + +#### Mutation + +Insert a movie with name and metadata from JSON literal. + +```graphql +mutation InsertMovie { + movie_insert( + data: { + name: "The Dark Knight" + metadata: { + release_year: 2008 + genre: ["Action", "Adventure", "Superhero"] + cast: [ + { name: "Christopher Bale", age: 31 } + { name: "Heath Ledger", age: 28 } + ] + director: "Christopher Nolan" + } + } + ) +} +``` + +Insert a movie with name and metadata that's constructed from a few GQL variables. + +```graphql +mutation InsertMovie($name: String!, $releaseDate: Date!, $genre: [String], $cast: [Any], $director: String!, $boxOfficeInUSD: Int) { + movie_insert(data: { + name: $name, + release_date: $releaseDate, + genre: $genre, + cast: $cast, + director: $director, + box_office: $boxOfficeInUSD + }) +} +``` +**Note**: + + - A mix of non-null and nullable variables can be provided. + + - `Date!` can be passed into scalar `Any` as well! It's stored as string. + + - `$cast` is a nested array. `[Any]` can represent an array of arbitrary types, but it won't enforce the input shape. + +#### Query + +Since `metadata` field has scalar `Any` type, it would return the full JSON in the response. + +**Note**: You can't define selection set to scalar based on [GraphQL spec](https://spec.graphql.org/October2021/#sec-Field-Selections). + +```graphql +query GetAllMovies { + movies { + name + metadata + } +} +``` + +""" +scalar Any @specifiedBy(url: "https://www.json.org/json-en.html") + +""" +The `Void` scalar type represents the absence of any value. It is typically used +in operations where no value is expected in return. +""" +scalar Void + +""" +The `True` scalar type only accepts the boolean value `true`. + +An optional field/argument typed as `True` may either be set +to `true` or omitted (not provided at all). The values `false` or `null` are not +accepted. +""" +scalar True + @fdc_forbiddenAsFieldType + @fdc_forbiddenAsVariableType + @fdc_example(value: true, description: "The only allowed value.") + +""" +A Common Expression Language (CEL) expression that returns a boolean at runtime. + +This expression can reference the `auth` variable, which is null when Firebase +Auth is not used. When Firebase Auth is used, the following fields are available: + + - `auth.uid`: The current user ID. + - `auth.token`: A map containing all token fields (e.g., claims). + +""" +scalar Boolean_Expr + @specifiedBy(url: "https://github.com/google/cel-spec") + @fdc_celExpression(returnType: "bool") + @fdc_forbiddenAsVariableType + @fdc_forbiddenAsFieldType + @fdc_example(value: "auth != null", description: "Allow only if a Firebase Auth user is present.") + +""" +A Common Expression Language (CEL) expression that returns a string at runtime. + +**Limitation**: Currently, only a limited set of expressions are supported. +""" +scalar String_Expr + @specifiedBy(url: "https://github.com/google/cel-spec") + @fdc_celExpression(returnType: "string") + @fdc_forbiddenAsVariableType + @fdc_forbiddenAsFieldType + @fdc_example(value: "auth.uid", description: "The ID of the currently logged in user in Firebase Auth. (Errors if not logged in.)") + @fdc_example(value: "uuidV4()", description: "Generates a new random UUID (version 4) string, formatted as 32 lower-case hex digits without delimiters.") + +""" +A Common Expression Language (CEL) expression that returns a UUID string at runtime. + +**Limitation**: Currently, only a limited set of expressions are supported. +""" +scalar UUID_Expr + @specifiedBy(url: "https://github.com/google/cel-spec") + @fdc_celExpression(returnType: "string") + @fdc_forbiddenAsVariableType + @fdc_forbiddenAsFieldType + @fdc_example(value: "uuidV4()", description: "Generates a new random UUID (version 4) every time.") + +""" +A Common Expression Language (CEL) expression whose return type is unspecified. + +**Limitation**: Only a limited set of expressions are currently supported for each +type. +""" +scalar Any_Expr + @specifiedBy(url: "https://github.com/google/cel-spec") + @fdc_celExpression + @fdc_forbiddenAsVariableType + @fdc_forbiddenAsFieldType + @fdc_example(value: "auth.uid", description: "The ID of the currently logged in user in Firebase Auth. (Errors if not logged in.)") + @fdc_example(value: "uuidV4()", description: "Generates a new random UUID version 4 (formatted as 32 lower-case hex digits without delimiters if result type is String).") + @fdc_example(value: "request.time", description: "The timestamp when the request is received (with microseconds precision).") + +""" +A PostgreSQL value expression whose return type is unspecified. +""" +scalar Any_SQL + @specifiedBy(url: "https://www.postgresql.org/docs/current/sql-expressions.html") + @fdc_sqlExpression + @fdc_forbiddenAsVariableType + @fdc_forbiddenAsFieldType + +""" +Defines a relational database table. + +In this example, we defined one table with a field named `myField`. + +```graphql +type TableName @table { + myField: String +} +``` +Data Connect adds an implicit `id` primary key column. So the above schema is equivalent to: + +```graphql +type TableName @table(key: "id") { + id: String @default(expr: "uuidV4()") + myField: String +} +``` + +Data Connect generates the following SQL table and CRUD operations to use it. + +```sql +CREATE TABLE "public"."table_name" ( + "id" uuid NOT NULL DEFAULT uuid_generate_v4(), + "my_field" text NULL, + PRIMARY KEY ("id") +) +``` + + * You can lookup a row: `query ($id: UUID!) { tableName(id: $id) { myField } } ` + * You can find rows using: `query tableNames(limit: 20) { myField }` + * You can insert a row: `mutation { tableName_insert(data: {myField: "foo"}) }` + * You can update a row: `mutation ($id: UUID!) { tableName_update(id: $id, data: {myField: "bar"}) }` + * You can delete a row: `mutation ($id: UUID!) { tableName_delete(id: $id) }` + +##### Customizations + +- `@table(singular)` and `@table(plural)` can customize the singular and plural name. +- `@table(name)` can customize the Postgres table name. +- `@table(key)` can customize the primary key field name and type. + +For example, the `User` table often has a `uid` as its primary key. + +```graphql +type User @table(key: "uid") { + uid: String! + name: String +} +``` + + * You can securely lookup a row: `query { user(key: {uid_expr: "auth.uid"}) { name } } ` + * You can securely insert a row: `mutation { user_insert(data: {uid_expr: "auth.uid" name: "Fred"}) }` + * You can securely update a row: `mutation { user_update(key: {uid_expr: "auth.uid"}, data: {name: "New Name"}) }` + * You can securely delete a row: `mutation { user_delete(key: {uid_expr: "auth.uid"}) }` + +`@table` type can be configured further with: + + - Custom SQL data types for columns. See `@col`. + - Add SQL indexes. See `@index`. + - Add SQL unique constraints. See `@unique`. + - Add foreign key constraints to define relations. See `@ref`. + +""" +directive @table( + """ + Configures the SQL database table name. Defaults to snake_case like `table_name`. + """ + name: String + """ + Configures the singular name. Defaults to the camelCase like `tableName`. + """ + singular: String + """ + Configures the plural name. Defaults to infer based on English plural pattern like `tableNames`. + """ + plural: String + """ + Defines the primary key of the table. Defaults to a single field named `id`. + If not present already, Data Connect adds an implicit field `id: UUID! @default(expr: "uuidV4()")`. + """ + key: [String!] +) on OBJECT + +""" +Defines a relational database Raw SQLview. + +Data Connect generates GraphQL queries with WHERE and ORDER BY clauses. +However, not all SQL features has native GraphQL equivalent. + +You can write **an arbitrary SQL SELECT statement**. Data Connect +would map Graphql fields on `@view` type to columns in your SELECT statement. + +* Scalar GQL fields (camelCase) should match a SQL column (snake_case) + in the SQL SELECT statement. +* Reference GQL field can point to another `@table` type. Similar to foreign key + defined with `@ref` on a `@table` type, a `@view` type establishes a relation + when `@ref(fields)` match `@ref(references)` on the target table. + +In this example, you can use `@view(sql)` to define an aggregation view on existing +table. + +```graphql +type User @table { + name: String + score: Int +} +type UserAggregation @view(sql: ''' + SELECT + COUNT(*) as count, + SUM(score) as sum, + AVG(score) as average, + PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY score) AS median, + (SELECT id FROM "user" LIMIT 1) as example_id + FROM "user" +''') { + count: Int + sum: Int + average: Float + median: Float + example: User + exampleId: UUID +} +``` + +###### Example: Query Raw SQL View + +```graphql +query { + userAggregations { + count sum average median + exampleId example { id } + } +} +``` + +##### One-to-One View + +An one-to-one companion `@view` can be handy if you want to argument a `@table` +with additional implied content. + +```graphql +type Restaurant @table { + name: String! +} +type Review @table { + restaurant: Restaurant! + rating: Int! +} +type RestaurantStats @view(sql: ''' + SELECT + restaurant_id, + COUNT(*) AS review_count, + AVG(rating) AS average_rating + FROM review + GROUP BY restaurant_id +''') { + restaurant: Restaurant @unique + reviewCount: Int + averageRating: Float +} +``` + +In this example, `@unique` convey the assumption that each `Restaurant` should +have only one `RestaurantStats` object. + +###### Example: Query One-to-One View + +```graphql +query ListRestaurants { + restaurants { + name + stats: restaurantStats_on_restaurant { + reviewCount + averageRating + } + } +} +``` + +###### Example: Filter based on One-to-One View + +```graphql +query BestRestaurants($minAvgRating: Float, $minReviewCount: Int) { + restaurants(where: { + restaurantStats_on_restaurant: { + averageRating: {ge: $minAvgRating} + reviewCount: {ge: $minReviewCount} + } + }) { name } +} +``` + +##### Customizations + +- One of `@view(sql)` or `@view(name)` should be defined. + `@view(name)` can refer to a persisted SQL view in the Postgres schema. +- `@view(singular)` and `@view(plural)` can customize the singular and plural name. + +`@view` type can be configured further: + + - `@unique` lets you define one-to-one relation. + - `@col` lets you customize SQL column mapping. For example, `@col(name: "column_in_select")`. + +##### Limitations + +Raw SQL view doesn't have a primary key, so it doesn't support lookup. Other +`@table` or `@view` cannot have `@ref` to a view either. + +View cannot be mutated. You can perform CRUD operations on the underlying +table to alter its content. + +**Important: Data Connect doesn't parse and validate SQL** + +- If the SQL view is invalid or undefined, related requests may fail. +- If the SQL view return incompatible types. Firebase Data Connect may surface + errors. +- If a field doesn't have a corresponding column in the SQL SELECT statement, + it will always be `null`. +- There is no way to ensure VIEW to TABLE `@ref` constraint. +- All fields must be nullable in case they aren't found in the SELECT statement + or in the referenced table. + +**Important: You should always test `@view`!** + +""" +directive @view( + """ + The SQL view name. If neither `name` nor `sql` are provided, defaults to the + snake_case of the singular type name. + `name` and `sql` cannot be specified at the same time. + """ + name: String @fdc_oneOf + """ + SQL `SELECT` statement used as the basis for this type. + SQL SELECT columns should use snake_case. GraphQL fields should use camelCase. + `name` and `sql` cannot be specified at the same time. + """ + sql: String @fdc_oneOf + """ + Configures the singular name. Defaults to the camelCase like `viewName`. + """ + singular: String + """ + Configures the plural name. Defaults to infer based on English plural pattern like `viewNames`. + """ + plural: String +) on OBJECT + +""" +Customizes a field that represents a SQL database table column. + +Data Connect maps scalar Fields on `@table` type to a SQL column of +corresponding data type. + +- scalar `UUID` maps to [`uuid`](https://www.postgresql.org/docs/current/datatype-uuid.html). +- scalar `String` maps to [`text`](https://www.postgresql.org/docs/current/datatype-character.html). +- scalar `Int` maps to [`int`](https://www.postgresql.org/docs/current/datatype-numeric.html). +- scalar `Int64` maps to [`bigint`](https://www.postgresql.org/docs/current/datatype-numeric.html). +- scalar `Float` maps to [`double precision`](https://www.postgresql.org/docs/current/datatype-numeric.html). +- scalar `Boolean` maps to [`boolean`](https://www.postgresql.org/docs/current/datatype-boolean.html). +- scalar `Date` maps to [`date`](https://www.postgresql.org/docs/current/datatype-datetime.html). +- scalar `Timestamp` maps to [`timestamptz`](https://www.postgresql.org/docs/current/datatype-datetime.html). +- scalar `Any` maps to [`jsonb`](https://www.postgresql.org/docs/current/datatype-json.html). +- scalar `Vector` maps to [`pgvector`](https://github.com/pgvector/pgvector). + +Array scalar fields are mapped to [Postgres arrays](https://www.postgresql.org/docs/current/arrays.html). + +###### Example: Serial Primary Key + +For example, you can define auto-increment primary key. + +```graphql +type Post @table { + id: Int! @col(name: "post_id", dataType: "serial") +} +``` + +Data Connect converts it to the following SQL table schema. + +```sql +CREATE TABLE "public"."post" ( + "post_id" serial NOT NULL, + PRIMARY KEY ("id") +) +``` + +###### Example: Vector + +```graphql +type Post @table { + content: String! @col(name: "post_content") + contentEmbedding: Vector! @col(size:768) +} +``` + +""" +directive @col( + """ + The SQL database column name. Defaults to snake_case of the field name. + """ + name: String + """ + Configures the custom SQL data type. + + Each GraphQL type can map to multiple SQL data types. + Refer to [Postgres supported data types](https://www.postgresql.org/docs/current/datatype.html). + + Incompatible SQL data type will lead to undefined behavior. + """ + dataType: String + """ + Required on `Vector` columns. It specifies the length of the Vector. + `textembedding-gecko@003` model generates `Vector` of `@col(size:768)`. + """ + size: Int +) on FIELD_DEFINITION + + +""" +Defines a foreign key reference to another table. + +For example, we can define a many-to-one relation. + +```graphql +type ManyTable @table { + refField: OneTable! +} +type OneTable @table { + someField: String! +} +``` +Data Connect adds implicit foreign key column and relation query field. So the +above schema is equivalent to the following schema. + +```graphql +type ManyTable @table { + id: UUID! @default(expr: "uuidV4()") + refField: OneTable! @ref(fields: "refFieldId", references: "id") + refFieldId: UUID! +} +type OneTable @table { + id: UUID! @default(expr: "uuidV4()") + someField: UUID! + # Generated Fields: + # manyTables_on_refField: [ManyTable!]! +} +``` +Data Connect generates the necessary foreign key constraint. + +```graphql +CREATE TABLE "public"."many_table" ( + "id" uuid NOT NULL DEFAULT uuid_generate_v4(), + "ref_field_id" uuid NOT NULL, + PRIMARY KEY ("id"), + CONSTRAINT "many_table_ref_field_id_fkey" FOREIGN KEY ("ref_field_id") REFERENCES "public"."one_table" ("id") ON DELETE CASCADE +) +``` + +###### Example: Traverse the Reference Field + +```graphql +query ($id: UUID!) { + manyTable(id: $id) { + refField { id } + } +} +``` + +###### Example: Reverse Traverse the Reference field + +```graphql +query ($id: UUID!) { + oneTable(id: $id) { + manyTables_on_refField { id } + } +} +``` + +##### Optional Many-to-One Relation + +An optional foreign key reference will be set to null if the referenced row is deleted. + +In this example, if a `User` is deleted, the `assignee` and `reporter` +references will be set to null. + +```graphql +type Bug @table { + title: String! + assignee: User + reproter: User +} + +type User @table { name: String! } +``` + +##### Required Many-to-One Relation + +A required foreign key reference will cascade delete if the referenced row is +deleted. + +In this example, if a `Post` is deleted, associated comments will also be +deleted. + +```graphql +type Comment @table { + post: Post! + content: String! +} + +type Post @table { title: String! } +``` + +##### Many To Many Relation + +You can define a many-to-many relation with a join table. + +```graphql +type Membership @table(key: ["group", "user"]) { + group: Group! + user: User! + role: String! @default(value: "member") +} + +type Group @table { name: String! } +type User @table { name: String! } +``` + +When Data Connect sees a table with two reference field as its primary key, it +knows this is a join table, so expands the many-to-many query field. + +```graphql +type Group @table { + name: String! + # Generated Fields: + # users_via_Membership: [User!]! + # memberships_on_group: [Membership!]! +} +type User @table { + name: String! + # Generated Fields: + # groups_via_Membership: [Group!]! + # memberships_on_user: [Membership!]! +} +``` + +###### Example: Traverse the Many-To-Many Relation + +```graphql +query ($id: UUID!) { + group(id: $id) { + users: users_via_Membership { + name + } + } +} +``` + +###### Example: Traverse to the Join Table + +```graphql +query ($id: UUID!) { + group(id: $id) { + memberships: memberships_on_group { + user { name } + role + } + } +} +``` + +##### One To One Relation + +You can even define a one-to-one relation with the help of `@unique` or `@table(key)`. + +```graphql +type User @table { + name: String +} +type Account @table { + user: User! @unique +} +# Alternatively, use primary key constraint. +# type Account @table(key: "user") { +# user: User! +# } +``` + +###### Example: Transerse the Reference Field + +```graphql +query ($id: UUID!) { + account(id: $id) { + user { id } + } +} +``` + +###### Example: Reverse Traverse the Reference field + +```graphql +query ($id: UUID!) { + user(id: $id) { + account_on_user { id } + } +} +``` + +##### Customizations + +- `@ref(constraintName)` can customize the SQL foreign key constraint name (`table_name_ref_field_fkey` above). +- `@ref(fields)` can customize the foreign key field names. +- `@ref(references)` can customize the constraint to reference other columns. + By default, `@ref(references)` is the primary key of the `@ref` table. + Other fields with `@unique` may also be referred in the foreign key constraint. + +""" +directive @ref( + "The SQL database foreign key constraint name. Defaults to snake_case `{table_name}_{field_name}_fkey`." + constraintName: String + """ + Foreign key fields. Defaults to `{tableName}{PrimaryIdName}`. + """ + fields: [String!] + "The fields that the foreign key references in the other table. Defaults to its primary key." + references: [String!] +) on FIELD_DEFINITION + +"Defines the orderBy direction in a query." +enum OrderDirection { +"Results are ordered in ascending order." + ASC +"Results are ordered in descending order." + DESC +} + +""" +Specifies the default value for a column field. + +For example: + +```graphql +type User @table(key: "uid") { + uid: String! @default(expr: "auth.uid") + number: Int! @col(dataType: "serial") + createdAt: Date! @default(expr: "request.time") + role: String! @default(value: "Member") + credit: Int! @default(value: 100) +} +``` + +The supported arguments vary based on the field type. +""" +directive @default( + "A constant value validated against the field's GraphQL type during compilation." + value: Any @fdc_oneOf(required: true) + "A CEL expression whose return value must match the field's data type." + expr: Any_Expr @fdc_oneOf(required: true) + """ + A raw SQL expression, whose SQL data type must match the underlying column. + + The value is any variable-free expression (in particular, cross-references to + other columns in the current table are not allowed). Subqueries are not allowed either. + See [PostgreSQL defaults](https://www.postgresql.org/docs/current/sql-createtable.html#SQL-CREATETABLE-PARMS-DEFAULT) + for more details. + """ + sql: Any_SQL @fdc_oneOf(required: true) +) on FIELD_DEFINITION + +""" +Defines a database index to optimize query performance. + +```graphql +type User @table @index(fields: ["name", "phoneNumber"], order: [ASC, DESC]) { + name: String @index + phoneNumber: Int64 @index + tags: [String] @index # GIN Index +} +``` + +##### Single Field Index + +You can put `@index` on a `@col` field to create a SQL index. + +`@index(order)` matters little for single field indexes, as they can be scanned +in both directions. + +##### Composite Index + +You can put `@index(fields: [...])` on `@table` type to define composite indexes. + +`@index(order: [...])` can customize the index order to satisfy particular +filter and order requirement. + +""" +directive @index( + """ + Configure the SQL database index id. + + If not overridden, Data Connect generates the index name: + - `{table_name}_{first_field}_{second_field}_aa_idx` + - `{table_name}_{field_name}_idx` + """ + name: String + """ + Only allowed and required when used on a `@table` type. + Specifies the fields to create the index on. + """ + fields: [String!] + """ + Only allowed for `BTREE` `@index` on `@table` type. + Specifies the order for each indexed column. Defaults to all `ASC`. + """ + order: [IndexFieldOrder!] + """ + Customize the index type. + + For most index, it defaults to `BTREE`. + For array fields, only allowed `IndexType` is `GIN`. + For `Vector` fields, defaults to `HNSW`, may configure to `IVFFLAT`. + """ + type: IndexType + """ + Only allowed when used on vector field. + Defines the vector similarity method. Defaults to `INNER_PRODUCT`. + """ + vector_method: VectorSimilarityMethod +) repeatable on FIELD_DEFINITION | OBJECT + +"Specifies the sorting order for database indexes." +enum IndexFieldOrder { + "Sorts the field in ascending order (from lowest to highest)." + ASC + "Sorts the field in descending order (from highest to lowest)." + DESC +} + +"Defines the type of index to be used in the database." +enum IndexType { + "A general-purpose index type commonly used for sorting and searching." + BTREE + "Generalized Inverted Index, optimized for indexing composite values such as arrays." + GIN + "Hierarchical Navigable Small World graph, used for nearest-neighbor searches on vector fields." + HNSW + "Inverted File Index, optimized for approximate nearest-neighbor searches in vector databases." + IVFFLAT +} + +""" +Defines unique constraints on `@table`. + +For example, + +```graphql +type User @table { + phoneNumber: Int64 @unique +} +type UserProfile @table { + user: User! @unique + address: String @unique +} +``` + +- `@unique` on a `@col` field adds a single-column unique constraint. +- `@unique` on a `@table` type adds a composite unique constraint. +- `@unique` on a `@ref` defines a one-to-one relation. It adds unique constraint + on `@ref(fields)`. + +`@unique` ensures those fields can uniquely identify a row, so other `@table` +type may define `@ref(references)` to refer to fields that has a unique constraint. + +""" +directive @unique( + """ + Configures the SQL database unique constraint name. + + If not overridden, Data Connect generates the unique constraint name: + - `table_name_first_field_second_field_uidx` + - `table_name_only_field_name_uidx` + """ + indexName: String + """ + Only allowed and required when used on OBJECT, + this specifies the fields to create a unique constraint on. + """ + fields: [String!] +) repeatable on FIELD_DEFINITION | OBJECT + +""" +Date is a string in the YYYY-MM-DD format representing a local-only date. + +See the description for Timestamp for range and limitations. + +As a FDC-specific extension, inputs that includes time portions (as specified by +the Timestamp scalar) are accepted but only the date portion is used. In other +words, only the part before "T" is used and the rest discarded. This effectively +truncates it to the local date in the specified time-zone. + +Outputs will always be in the canonical YYYY-MM-DD format. + +In the PostgreSQL table, it's stored as [`date`](https://www.postgresql.org/docs/current/datatype-datetime.html). +""" +scalar Date @specifiedBy(url: "https://scalars.graphql.org/andimarek/local-date.html") + +""" +Timestamp is a RFC 3339 string that represents an exact point in time. + +The serialization format follows https://scalars.graphql.org/andimarek/date-time +except the "Non-optional exact milliseconds" Section. As a FDC-specific +extension, inputs and outputs may contain 0, 3, 6, or 9 fractional digits. + +Specifically, output precision varies by server-side factors such as data source +support and clients must not rely on an exact number of digits. Clients may +truncate extra digits as fit, with the caveat that there may be information loss +if the truncated value is subsequently sent back to the server. + +FDC only supports year 1583 to 9999 (inclusive) and uses the ISO-8601 calendar +system for all date-time calculations. Notably, the expanded year representation +(+/-YYYYY) is rejected and Year 1582 and before may either be rejected or cause +undefined behavior. + +In the PostgreSQL table, it's stored as [`timestamptz`](https://www.postgresql.org/docs/current/datatype-datetime.html). +""" +scalar Timestamp @specifiedBy(url: "https://scalars.graphql.org/andimarek/date-time") + +""" +A Common Expression Language (CEL) expression that returns a Timestamp at runtime. + +Limitation: Right now, only a few expressions are supported. +""" +scalar Timestamp_Expr + @specifiedBy(url: "https://github.com/google/cel-spec") + @fdc_celExpression(returnType: "google.protobuf.Timestamp") + @fdc_forbiddenAsVariableType + @fdc_forbiddenAsFieldType + @fdc_example(value: "request.time", description: "The timestamp when the request is received (with microseconds precision).") + +""" +A Common Expression Language (CEL) expression that returns a Timestamp at runtime, +which is then truncated to UTC date only. The time-of-day parts are discarded. + +Limitation: Right now, only a few expressions are supported. +""" +scalar Date_Expr + @specifiedBy(url: "https://github.com/google/cel-spec") + @fdc_celExpression(returnType: "google.protobuf.Timestamp") + @fdc_forbiddenAsVariableType + @fdc_forbiddenAsFieldType + @fdc_example(value: "request.time", description: "The UTC date on which the request is received.") + +"Conditions on a `Date` value." +input Date_Filter { + "Match if the field `IS NULL`." + isNull: Boolean + "Match if the field is exactly equal to the provided value." + eq: Date @fdc_oneOf(group: "eq") + "Match if the field equals the provided CEL expression." + eq_expr: Date_Expr @fdc_oneOf(group: "eq") + "Match if the field equals the provided relative date." + eq_date: Date_Relative @fdc_oneOf(group: "eq") + "Match if the field is not equal to the provided value." + ne: Date @fdc_oneOf(group: "ne") + "Match if the field is not equal to the provided CEL expression." + ne_expr: Date_Expr @fdc_oneOf(group: "ne") + "Match if the field is not equal to the provided relative date." + ne_date: Date_Relative @fdc_oneOf(group: "ne") + "Match if the field value is among the provided list of values." + in: [Date!] + "Match if the field value is not among the provided list of values." + nin: [Date!] + "Match if the field value is greater than the provided value." + gt: Date @fdc_oneOf(group: "gt") + "Match if the field value is greater than the provided CEL expression." + gt_expr: Date_Expr @fdc_oneOf(group: "gt") + "Match if the field value is greater than the provided relative date." + gt_date: Date_Relative @fdc_oneOf(group: "gt") + "Match if the field value is greater than or equal to the provided value." + ge: Date @fdc_oneOf(group: "ge") + "Match if the field value is greater than or equal to the provided CEL expression." + ge_expr: Date_Expr @fdc_oneOf(group: "ge") + "Match if the field value is greater than or equal to the provided relative date." + ge_date: Date_Relative @fdc_oneOf(group: "ge") + "Match if the field value is less than the provided value." + lt: Date @fdc_oneOf(group: "lt") + "Match if the field value is less than the provided CEL expression." + lt_expr: Date_Expr @fdc_oneOf(group: "lt") + "Match if the field value is less than the provided relative date." + lt_date: Date_Relative @fdc_oneOf(group: "lt") + "Match if the field value is less than or equal to the provided value." + le: Date @fdc_oneOf(group: "le") + "Match if the field value is less than or equal to the provided CEL expression." + le_expr: Date_Expr @fdc_oneOf(group: "le") + "Match if the field value is less than or equal to the provided relative date." + le_date: Date_Relative @fdc_oneOf(group: "le") +} + +"Conditions on a`Date` list." +input Date_ListFilter { + "Match if the list contains the provided date." + includes: Date @fdc_oneOf(group: "includes") + "Match if the list contains the provided date CEL expression." + includes_expr: Date_Expr @fdc_oneOf(group: "includes") + "Match if the list contains the provided relative date." + includes_date: Date_Relative @fdc_oneOf(group: "includes") + "Match if the list does not contain the provided date." + excludes: Date @fdc_oneOf(group: "excludes") + "Match if the list does not contain the provided date CEL expression." + excludes_expr: Date_Expr @fdc_oneOf(group: "excludes") + "Match if the list does not contain the provided relative date." + excludes_date: Date_Relative @fdc_oneOf(group: "excludes") + "Match if the list contains all the provided dates." + includesAll: [Date!] + "Match if the list contains none of the provided dates." + excludesAll: [Date!] +} + +"Conditions on a `Timestamp` value." +input Timestamp_Filter { + "Match if the field `IS NULL`." + isNull: Boolean + "Match if the field is exactly equal to the provided value." + eq: Timestamp @fdc_oneOf(group: "eq") + "Match if the field equals the provided CEL expression." + eq_expr: Timestamp_Expr @fdc_oneOf(group: "eq") + "Match if the field equals the provided relative time." + eq_time: Timestamp_Relative @fdc_oneOf(group: "eq") + "Match if the field is not equal to the provided value." + ne: Timestamp @fdc_oneOf(group: "ne") + "Match if the field is not equal to the provided CEL expression." + ne_expr: Timestamp_Expr @fdc_oneOf(group: "ne") + "Match if the field is not equal to the provided relative time." + ne_time: Timestamp_Relative @fdc_oneOf(group: "ne") + "Match if the field value is among the provided list of values." + in: [Timestamp!] + "Match if the field value is not among the provided list of values." + nin: [Timestamp!] + "Match if the field value is greater than the provided value." + gt: Timestamp @fdc_oneOf(group: "gt") + "Match if the field value is greater than the provided CEL expression." + gt_expr: Timestamp_Expr @fdc_oneOf(group: "gt") + "Match if the field value is greater than the provided relative time." + gt_time: Timestamp_Relative @fdc_oneOf(group: "gt") + "Match if the field value is greater than or equal to the provided value." + ge: Timestamp @fdc_oneOf(group: "ge") + "Match if the field value is greater than or equal to the provided CEL expression." + ge_expr: Timestamp_Expr @fdc_oneOf(group: "ge") + "Match if the field value is greater than or equal to the provided relative time." + ge_time: Timestamp_Relative @fdc_oneOf(group: "ge") + "Match if the field value is less than the provided value." + lt: Timestamp @fdc_oneOf(group: "lt") + "Match if the field value is less than the provided CEL expression." + lt_expr: Timestamp_Expr @fdc_oneOf(group: "lt") + "Match if the field value is less than the provided relative time." + lt_time: Timestamp_Relative @fdc_oneOf(group: "lt") + "Match if the field value is less than or equal to the provided value." + le: Timestamp @fdc_oneOf(group: "le") + "Match if the field value is less than or equal to the provided CEL expression." + le_expr: Timestamp_Expr @fdc_oneOf(group: "le") + "Match if the field value is less than or equal to the provided relative time." + le_time: Timestamp_Relative @fdc_oneOf(group: "le") +} + +"Conditions on a `Timestamp` list." +input Timestamp_ListFilter { + "Match if the list contains the provided timestamp." + includes: Timestamp @fdc_oneOf(group: "includes") + "Match if the list contains the provided timestamp CEL expression." + includes_expr: Timestamp_Expr @fdc_oneOf(group: "includes") + "Match if the list contains the provided relative timestamp." + includes_time: Timestamp_Relative @fdc_oneOf(group: "includes") + "Match if the list does not contain the provided timestamp." + excludes: Timestamp @fdc_oneOf(group: "excludes") + "Match if the list does not contain the provided timestamp CEL expression." + excludes_expr: Timestamp_Expr @fdc_oneOf(group: "excludes") + "Match if the list does not contain the provided relative timestamp." + excludes_time: Timestamp_Relative @fdc_oneOf(group: "excludes") + "Match if the list contains all the provided timestamps." + includesAll: [Timestamp!] + "Match if the list contains none of the provided timestamps." + excludesAll: [Timestamp!] +} + +"Update input of a `Date` value." +input Date_Update { + "Set the field to the provided date." + set: Date @fdc_oneOf(group: "set") + "Set the field to the provided date CEL expression." + set_expr: Date_Expr @fdc_oneOf(group: "set") + "Set the field to the provided relative date." + set_date: Date_Relative @fdc_oneOf(group: "set") +} + +"Update input of a `Date` list value." +input Date_ListUpdate { + "Replace the current list with the provided list of `Date` values." + set: [Date!] + "Append the provided `Date` values to the existing list." + append: [Date!] + "Prepend the provided `Date` values to the existing list." + prepend: [Date!] + "Remove the date value at the specified index." + delete: Int + "The index of the list to perform updates." + i: Int + "Update the date value at the specified index." + update: Date +} + +"Update input of a `Timestamp` value." +input Timestamp_Update { + "Set the field to the provided timestamp." + set: Timestamp @fdc_oneOf(group: "set") + "Set the field to the provided timestamp CEL expression." + set_expr: Timestamp_Expr @fdc_oneOf(group: "set") + "Set the field to the provided relative timestamp." + set_time: Timestamp_Relative @fdc_oneOf(group: "set") +} + +"Update input of an `Timestamp` list value." +input Timestamp_ListUpdate { + "Replace the current list with the provided list of `Timestamp` values." + set: [Timestamp!] + "Append the provided `Timestamp` values to the existing list." + append: [Timestamp!] + "Prepend the provided `Timestamp` values to the existing list." + prepend: [Timestamp!] + "Remove the timestamp value at the specified index." + delete: Int + "The index of the list to perform updates." + i: Int + "Update the timestamp value at the specified index." + update: Timestamp +} + + +"A runtime-calculated `Timestamp` value relative to `now` or `at`." +input Timestamp_Relative @fdc_forbiddenAsVariableType @fdc_forbiddenAsFieldType { + "Match for the current time." + now: True @fdc_oneOf(group: "from", required: true) + "A specific timestamp for matching." + at: Timestamp @fdc_oneOf(group: "from", required: true) + "Add the provided duration to the base timestamp." + add: Timestamp_Duration + "Subtract the provided duration from the base timestamp." + sub: Timestamp_Duration + "Truncate the timestamp to the provided interval." + truncateTo: Timestamp_Interval +} + +input Timestamp_Duration @fdc_forbiddenAsVariableType @fdc_forbiddenAsFieldType { + "The number of milliseconds for the duration." + milliseconds: Int! = 0 + "The number of seconds for the duration." + seconds: Int! = 0 + "The number of minutes for the duration." + minutes: Int! = 0 + "The number of hours for the duration." + hours: Int! = 0 + "The number of days for the duration." + days: Int! = 0 + "The number of weeks for the duration." + weeks: Int! = 0 + "The number of months for the duration." + months: Int! = 0 + "The number of years for the duration." + years: Int! = 0 +} + +enum Timestamp_Interval @fdc_forbiddenAsFieldType { + "Represents a time interval of one second." + SECOND + "Represents a time interval of one minute." + MINUTE + "Represents a time interval of one hour." + HOUR + "Represents a time interval of one day." + DAY + "Represents a time interval of one week." + WEEK + "Represents a time interval of one month." + MONTH + "Represents a time interval of one year." + YEAR +} + +"A runtime-calculated Date value relative to `today` or `on`." +input Date_Relative @fdc_forbiddenAsVariableType @fdc_forbiddenAsFieldType { + "Match for today’s date." + today: True @fdc_oneOf(group: "from", required: true) + "A specific date for matching." + on: Date @fdc_oneOf(group: "from", required: true) + "Add the provided duration to the base date." + add: Date_Duration + "Subtract the provided duration from the base date." + sub: Date_Duration + "Truncate the date to the provided interval." + truncateTo: Date_Interval +} + +input Date_Duration @fdc_forbiddenAsVariableType @fdc_forbiddenAsFieldType { + "The number of days for the duration." + days: Int! = 0 + "The number of weeks for the duration." + weeks: Int! = 0 + "The number of months for the duration." + months: Int! = 0 + "The number of years for the duration." + years: Int! = 0 +} + +enum Date_Interval @fdc_forbiddenAsFieldType { + "Represents a time interval of one week." + WEEK + "Represents a time interval of one month." + MONTH + "Represents a time interval of one year." + YEAR +} + +"Update input of a `String` value." +input String_Update { + "Set the field to a provided value." + set: String @fdc_oneOf(group: "set") + "Set the field to a provided server value expression." + set_expr: String_Expr @fdc_oneOf(group: "set") +} + +"Update input of a `String` list value." +input String_ListUpdate { + "Set the list with the provided values." + set: [String!] + "Append the provided values to the existing list." + append: [String!] + "Prepend the provided values to the existing list." + prepend: [String!] +} + +"Update input of a `UUID` value." +input UUID_Update { + "Set the field to a provided UUID." + set: UUID @fdc_oneOf(group: "set") + "Set the field to a provided UUID expression." + set_expr: UUID_Expr @fdc_oneOf(group: "set") +} + +"Update input of an `ID` list value." +input UUID_ListUpdate { + "Set the list with the provided list of UUIDs." + set: [UUID!] + "Append the provided UUIDs to the existing list." + append: [UUID!] + "Prepend the provided UUIDs to the existing list." + prepend: [UUID!] +} + +"Update input of an `Int` value." +input Int_Update { + "Set the field to a provided value." + set: Int + "Increment the field by a provided value." + inc: Int + "Decrement the field by a provided value." + dec: Int +} + +"Update input of an `Int` list value." +input Int_ListUpdate { + "Set the list with the provided values." + set: [Int!] + "Append the provided list of values to the existing list." + append: [Int!] + "Prepend the provided list of values to the existing list." + prepend: [Int!] +} + +"Update input of an `Int64` value." +input Int64_Update { + "Set the field to a provided value." + set: Int64 + "Increment the field by a provided value." + inc: Int64 + "Decrement the field by a provided value." + dec: Int64 +} + +"Update input of an `Int64` list value." +input Int64_ListUpdate { + "Replace the list with the provided values." + set: [Int64!] + "Append the provided list of values to the existing list." + append: [Int64!] + "Prepend the provided list of values to the existing list." + prepend: [Int64!] +} + +"Update input of a `Float` value." +input Float_Update { + "Set the field to a provided value." + set: Float + "Increment the field by a provided value." + inc: Float + "Decrement the field by a provided value." + dec: Float +} + +"Update input of a `Float` list value." +input Float_ListUpdate { + "Set the list with the provided values." + set: [Float!] + "Append the provided list of values to the existing list." + append: [Float!] + "Prepend the provided list of values to the existing list." + prepend: [Float!] +} + +"Update input of a `Boolean` value." +input Boolean_Update { + "Set the field to a provided value." + set: Boolean +} + +"Update input of a `Boolean` list value." +input Boolean_ListUpdate { + "Set the list with the provided values." + set: [Boolean!] + "Append the provided list of values to the existing list." + append: [Boolean!] + "Prepend the provided list of values to the existing list." + prepend: [Boolean!] +} + +"Update input of an `Any` value." +input Any_Update { + "Set the field to a provided value." + set: Any +} + +"Update input of an `Any` list value." +input Any_ListUpdate { + "Set the list with the provided values." + set: [Any!] + "Append the provided list of values to the existing list." + append: [Any!] + "Prepend the provided list of values to the existing list." + prepend: [Any!] +} + +type Query { + """ + _service provides customized introspection on Firebase Data Connect Sevice. + """ + _service: _Service! +} + +""" +Vector is an array of single-precision floating-point numbers, serialized +as a JSON array. All elements must be finite (no NaN, Infinity or -Infinity). + +Example: [1.1, 2, 3.3] + +In the PostgreSQL table, it's stored as [`pgvector`](https://github.com/pgvector/pgvector). + +See `Vector_Embed` for how to generate text embeddings in query and mutations. +""" +scalar Vector + +""" +Defines the similarity function to use when comparing vectors in queries. + +Defaults to `INNER_PRODUCT`. + +View [all vector functions](https://github.com/pgvector/pgvector?tab=readme-ov-file#vector-functions). +""" +enum VectorSimilarityMethod { + "Measures the Euclidean (L2) distance between two vectors." + L2 + "Measures the cosine similarity between two vectors." + COSINE + "Measures the inner product(dot product) between two vectors." + INNER_PRODUCT +} + +"Conditions on a Vector value." +input Vector_Filter { + "Match if the field is exactly equal to the provided vector." + eq: Vector + "Match if the field is not equal to the provided vector." + ne: Vector + "Match if the field value is among the provided list of vectors." + in: [Vector!] + "Match if the field value is not among the provided list of vectors." + nin: [Vector!] + "Match if the field is `NULL`." + isNull: Boolean +} + +input Vector_ListFilter { + "Match if the list includes the supplied vector." + includes: Vector + "Match if the list does not include the supplied vector." + excludes: Vector + "Match if the list contains all the provided vectors." + includesAll: [Vector!] + "Match if the list contains none of the provided vectors." + excludesAll: [Vector!] +} + +"Update input of a Vector value." +input Vector_Update { + "Set the field to the provided vector value." + set: Vector @fdc_oneOf(group: "set") + "Set the field to the vector embedding result from a text input." + set_embed: Vector_Embed @fdc_oneOf(group: "set") +} + + +"Update input of a Vector list value." +input Vector_ListUpdate { + "Replace the current list with the provided list of Vector values." + set: [Vector] + "Append the provided Vector values to the existing list." + append: [Vector] + "Prepend the provided Vector values to the existing list." + prepend: [Vector] + "Delete the vector at the specified index." + delete: Int + "The index of the vector to be updated." + i: Int + "Update the vector at the specified index." + update: Vector +} + +""" +Create a vector embedding of text using the given model on Vertex AI. + +Cloud SQL for Postgresql natively integrates with [Vertex AI Text embeddings API](https://cloud.google.com/vertex-ai/generative-ai/docs/model-reference/text-embeddings-api) +to effectively generate text embeddings. + +If you uses [`Vector`](scalar.md#Vector) in your schema, Firebase Data Connect automatically installs +[`pgvector`](https://github.com/pgvector/pgvector) and [`google_ml_integration`](https://cloud.google.com/sql/docs/postgres/integrate-cloud-sql-with-vertex-ai) +Postgres extensions in your Cloud SQL database. + +Given a Post table with a `Vector` embedding field. + +```graphql +type Post @table { + content: String! + contentEmbedding: Vector @col(size:768) +} +``` + +NOTE: All natively supported `Vector_Embed_Model` generates vector of length `768`. + +###### Example: Insert embedding + +```graphql +mutation CreatePost($content: String!) { + post_insert(data: { + content: $content, + contentEmbedding_embed: {model: "textembedding-gecko@003", text: $content}, + }) +} +``` + +###### Example: Vector similarity Search + +```graphql +query SearchPost($query: String!) { + posts_contentEmbedding_similarity(compare_embed: {model: "textembedding-gecko@003", text: $query}) { + id + content + } +} +``` +""" +input Vector_Embed @fdc_forbiddenAsVariableType { + """ + The model to use for vector embedding. + Recommend the latest stable model: `textembedding-gecko@003`. + """ + model: Vector_Embed_Model! + "The text to generate the vector embedding from." + text: String! +} + +""" +The Vertex AI model version that is required in input `Vector_Embed`. + +It is recommended to use the latest stable model version: `textembedding-gecko@003`. + +View all supported [Vertex AI Text embeddings APIs](https://cloud.google.com/vertex-ai/generative-ai/docs/model-reference/text-embeddings-api). +""" +scalar Vector_Embed_Model + @specifiedBy(url: "https://cloud.google.com/vertex-ai/generative-ai/docs/learn/model-versioning") + @fdc_forbiddenAsVariableType + @fdc_forbiddenAsFieldType + @fdc_example(value: "textembedding-gecko@003", description: "A stable version of the textembedding-gecko model") + @fdc_example(value: "textembedding-gecko@001", description: "An older version of the textembedding-gecko model") + @fdc_example(value: "text-embedding-004", description: "Another text embedding model") + +""" +Redact a part of the response from the client. + +Redacted fields are still evaluated for side effects (including data changes and +`@check`) and the results are still available to later steps in CEL expressions +(via `response.fieldName`). +""" +directive @redact on FIELD | FRAGMENT_SPREAD | INLINE_FRAGMENT + +""" +Ensure this field is present and is not null or `[]`, or abort the request / transaction. + +A CEL expression, `expr` is used to test the field value. It defaults to +rejecting null and `[]` but a custom expression can be provided instead. + +If the field occurs multiple times (i.e. directly or indirectly nested under a +list), `expr` will be executed once for each occurrence and `@check` succeeds if +all values succeed. `@check` fails when the field is not present at all (i.e. +all ancestor paths contain `null` or `[]`), unless `optional` is true. + +If a `@check` fails in a mutation, the top-level field containing it will be +replaced with a partial error, whose message can be customzied via the `message` +argument. Each subsequent top-level fields will return an aborted error (i.e. +not executed). To rollback previous steps, see `@transaction`. +""" +directive @check( + """ + The CEL expression to test the field value (or values if nested under a list). + + Within the CEL expression, a special value `this` evaluates to the field that + this directive is attached to. If this field occurs multiple times because + any ancestor is a list, each occurrence is tested with `this` bound to each + value. When the field itself is a list or object, `this` follows the same + structure (including all decendants selected in case of objects). + + For any given path, if an ancestor is `null` or `[]`, the field will not be + reached and the CEL evaluation will be skipped for that path. In other words, + evaluation only takes place when `this` is `null` or non-null, but never + undefined. (See also the `optional` argument.) + """ + expr: Boolean_Expr! = "!(this in [null, []])" + """ + The error message to return to the client if the check fails. + + Defaults to "permission denied" if not specified. + """ + message: String! = "permission denied" + """ + Whether the check should pass or fail (default) when the field is not present. + + A field will not be reached at a given path if its parent or any ancestor is + `[]` or `null`. When this happens to all paths, the field will not be present + anywhere in the response tree. In other words, `expr` is evaluated 0 times. + By default, @check will automatically fail in this case. Set this argument to + `true` to make it pass even if no tests are run (a.k.a. "vacuously true"). + """ + optional: Boolean = false +) repeatable on QUERY | MUTATION | FIELD | FRAGMENT_DEFINITION | FRAGMENT_SPREAD | INLINE_FRAGMENT + +type Mutation { + """ + Run a query during the mutation and add fields into the response. + + Example: foo: query { users { id } } will add a field foo: {users: [{id: "..."}, …]} into the response JSON. + + Note: Data fetched this way can be handy for permission checks. See @check. + """ + query: Query +} + diff --git a/starters/nextjs/shopify-ecommerce/dataconnect/connector/connector.yaml b/starters/nextjs/shopify-ecommerce/dataconnect/connector/connector.yaml new file mode 100644 index 00000000..cd468de2 --- /dev/null +++ b/starters/nextjs/shopify-ecommerce/dataconnect/connector/connector.yaml @@ -0,0 +1,6 @@ +connectorId: ecommerce-template +generate: + javascriptSdk: + outputDir: ../../dataconnect-generated/js/ecommerce-template + package: '@dataconnect/ecommerce-template' + packageJsonDir: ../.. diff --git a/starters/nextjs/shopify-ecommerce/dataconnect/connector/mutations.gql b/starters/nextjs/shopify-ecommerce/dataconnect/connector/mutations.gql new file mode 100644 index 00000000..ed3dc071 --- /dev/null +++ b/starters/nextjs/shopify-ecommerce/dataconnect/connector/mutations.gql @@ -0,0 +1,99 @@ +# Create a new product +mutation CreateProduct( + $productID: String! + $productSlug: String! + $name: String! + $description: String! + $price: Float! +) @auth(level: NO_ACCESS) { + product_insert( + data: { + productID: $productID + productSlug: $productSlug + name: $name + description: $description + price: $price + nameEmbedding_embed: { model: "textembedding-gecko@003", text: $name } + descriptionEmbedding_embed: { model: "textembedding-gecko@003", text: $description } + } + ) +} + +# Update an existing product +mutation UpdateProduct( + $id: UUID! + $name: String! + $description: String! + $price: Float! + $productID: String! + $productSlug: String! +) @auth(level: NO_ACCESS) { + product_update( + key: { id: $id } + data: { + name: $name + description: $description + price: $price + productID: $productID + productSlug: $productSlug + nameEmbedding_embed: { model: "textembedding-gecko@003", text: $name } + descriptionEmbedding_embed: { model: "textembedding-gecko@003", text: $description } + } + ) +} + +# Delete a product +mutation DeleteProduct($id: UUID!) @auth(level: NO_ACCESS) { + product_delete(key: { id: $id }) +} + +# Create a new review +mutation CreateReview( + $productID: String! + $productSlug: String! + $productName: String! + $userID: String! + $userName: String! + $rating: Float! + $content: String! +) @auth(level: USER) { + review_insert( + data: { + productID: $productID + productSlug: $productSlug + productName: $productName + userID_expr: "auth.uid" + userName: $userName + rating: $rating + content: $content + contentEmbedding_embed: { model: "textembedding-gecko@003", text: $content } + } + ) +} + +# Update an existing review +mutation UpdateReview($id: UUID!, $rating: Float!, $content: String!) @auth(level: USER) { + query { + review(id: $id) @redact { + userID @check(expr: "this == auth.uid", message: "You can only update your own reviews") + } + } + review_update( + key: { id: $id } + data: { + rating: $rating + content: $content + contentEmbedding_embed: { model: "textembedding-gecko@003", text: $content } + } + ) +} + +# Delete a review +mutation DeleteReview($id: UUID!) @auth(level: USER) { + query { + review(id: $id) @redact { + userID @check(expr: "this == auth.uid", message: "You can only update your own reviews") + } + } + review_delete(key: { id: $id }) +} diff --git a/starters/nextjs/shopify-ecommerce/dataconnect/connector/queries.gql b/starters/nextjs/shopify-ecommerce/dataconnect/connector/queries.gql new file mode 100644 index 00000000..f3d5a6a7 --- /dev/null +++ b/starters/nextjs/shopify-ecommerce/dataconnect/connector/queries.gql @@ -0,0 +1,68 @@ +# Search for products by name, publicly accessible +query SearchProducts($nameInput: String) @auth(level: PUBLIC) { + products(where: { name: { contains: $nameInput } }) { + id + productID + productSlug + productName: name + name + price + description + descriptionEmbedding + } +} + +# Get reviews for a product, publicly accessible +query GetProductReviews($productId: String!) @auth(level: PUBLIC) { + reviews(where: { productID: { eq: $productId } }, orderBy: [{ createdAt: DESC }]) { + id + productID + productSlug + productName + rating + content + contentEmbedding + createdAt + userID + userName + } +} + +query SearchProductDescriptionUsingL2Similarity($query: String!) @auth(level: PUBLIC) { + products_descriptionEmbedding_similarity( + compare_embed: { model: "textembedding-gecko@003", text: $query } + method: COSINE + within: 0.75 + limit: 20 + ) { + productID + productSlug + productName: name + } +} + +query SearchProductNameUsingL2Similarity($query: String!) @auth(level: PUBLIC) { + products_nameEmbedding_similarity( + compare_embed: { model: "textembedding-gecko@003", text: $query } + method: COSINE + within: 0.75 + limit: 20 + ) { + productID + productSlug + productName: name + } +} + +query SearchReviewContentUsingL2Similarity($query: String!) @auth(level: PUBLIC) { + reviews_contentEmbedding_similarity( + compare_embed: { model: "textembedding-gecko@003", text: $query } + method: COSINE + within: 0.75 + limit: 20 + ) { + productID + productSlug + productName + } +} diff --git a/starters/nextjs/shopify-ecommerce/dataconnect/dataconnect.yaml b/starters/nextjs/shopify-ecommerce/dataconnect/dataconnect.yaml new file mode 100644 index 00000000..9f300b59 --- /dev/null +++ b/starters/nextjs/shopify-ecommerce/dataconnect/dataconnect.yaml @@ -0,0 +1,12 @@ +specVersion: 'v1beta' +serviceId: 'ecommerce-template' +location: 'us-central1' +schema: + source: './schema' + datasource: + postgresql: + database: 'ecommerce-template' + cloudSql: + instanceId: 'fb-tools-dev' + # schemaValidation: "COMPATIBLE" +connectorDirs: ['./connector'] diff --git a/starters/nextjs/shopify-ecommerce/dataconnect/schema/schema.gql b/starters/nextjs/shopify-ecommerce/dataconnect/schema/schema.gql new file mode 100644 index 00000000..bc395a0a --- /dev/null +++ b/starters/nextjs/shopify-ecommerce/dataconnect/schema/schema.gql @@ -0,0 +1,25 @@ +# Products +type Product @table { + id: UUID! @default(expr: "uuidV4()") + productID: String! + productSlug: String! + name: String! + nameEmbedding: Vector! @col(size: 768) + description: String! + descriptionEmbedding: Vector! @col(size: 768) + price: Float! +} + +# Reviews +type Review @table { + id: UUID! @default(expr: "uuidV4()") + productID: String! + productSlug: String! + productName: String! + userID: String! + userName: String! + rating: Float! + content: String! + contentEmbedding: Vector! @col(size: 768) + createdAt: Date! @default(expr: "request.time") +} diff --git a/starters/nextjs/shopify-ecommerce/firebase.json b/starters/nextjs/shopify-ecommerce/firebase.json new file mode 100644 index 00000000..13427081 --- /dev/null +++ b/starters/nextjs/shopify-ecommerce/firebase.json @@ -0,0 +1,12 @@ +{ + "dataconnect": { + "source": "dataconnect" + }, + "hosting": { + "source": ".", + "ignore": ["firebase.json", "**/.*", "**/node_modules/**"], + "frameworksBackend": { + "region": "us-central1" + } + } +} diff --git a/starters/nextjs/shopify-ecommerce/next.config.mjs b/starters/nextjs/shopify-ecommerce/next.config.mjs new file mode 100644 index 00000000..d14da3d2 --- /dev/null +++ b/starters/nextjs/shopify-ecommerce/next.config.mjs @@ -0,0 +1,8 @@ +/** @type {import('next').NextConfig} */ +const nextConfig = { + images: { + remotePatterns: [{ hostname: 'cdn.shopify.com' }, { hostname: 'rstr.in' }] + } +} + +export default nextConfig diff --git a/starters/nextjs/shopify-ecommerce/package.json b/starters/nextjs/shopify-ecommerce/package.json new file mode 100644 index 00000000..0dc0f85a --- /dev/null +++ b/starters/nextjs/shopify-ecommerce/package.json @@ -0,0 +1,48 @@ +{ + "name": "ecommerce-template", + "version": "0.1.0", + "private": true, + "scripts": { + "dev": "next dev", + "build": "next build", + "start": "next start", + "lint": "next lint" + }, + "dependencies": { + "@dataconnect/ecommerce-template": "file:dataconnect-generated/js/ecommerce-template", + "@google/generative-ai": "^0.21.0", + "@headlessui/react": "^2.2.0", + 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2.1.1 + string-width: 4.2.3 + y18n: 5.0.8 + yargs-parser: 21.1.1 + + yocto-queue@0.1.0: {} + + zustand@5.0.1(@types/react@18.3.12)(react@18.3.1): + optionalDependencies: + '@types/react': 18.3.12 + react: 18.3.1 + + zwitch@2.0.4: {} diff --git a/starters/nextjs/shopify-ecommerce/postcss.config.mjs b/starters/nextjs/shopify-ecommerce/postcss.config.mjs new file mode 100644 index 00000000..1a69fd2a --- /dev/null +++ b/starters/nextjs/shopify-ecommerce/postcss.config.mjs @@ -0,0 +1,8 @@ +/** @type {import('postcss-load-config').Config} */ +const config = { + plugins: { + tailwindcss: {}, + }, +}; + +export default config; diff --git a/starters/nextjs/shopify-ecommerce/shopify_example_export.csv b/starters/nextjs/shopify-ecommerce/shopify_example_export.csv new file mode 100644 index 00000000..d76101b4 --- /dev/null +++ b/starters/nextjs/shopify-ecommerce/shopify_example_export.csv @@ -0,0 +1,19 @@ +Handle,Title,Body (HTML),Vendor,Product Category,Type,Tags,Published,Option1 Name,Option1 Value,Option1 Linked To,Option2 Name,Option2 Value,Option2 Linked To,Option3 Name,Option3 Value,Option3 Linked To,Variant SKU,Variant Grams,Variant Inventory Tracker,Variant Inventory Qty,Variant Inventory Policy,Variant Fulfillment Service,Variant Price,Variant Compare At Price,Variant Requires Shipping,Variant Taxable,Variant Barcode,Image Src,Image Position,Image Alt Text,Gift Card,SEO Title,SEO Description,Google Shopping / Google Product Category,Google Shopping / Gender,Google Shopping / Age Group,Google Shopping / MPN,Google Shopping / Condition,Google Shopping / Custom Product,Google Shopping / Custom Label 0,Google Shopping / Custom Label 1,Google Shopping / Custom Label 2,Google Shopping / Custom Label 3,Google Shopping / Custom Label 4,Age group (product.metafields.shopify.age-group),Color (product.metafields.shopify.color-pattern),Size (product.metafields.shopify.size),Sleeve length type (product.metafields.shopify.sleeve-length-type),Target gender (product.metafields.shopify.target-gender),Waist rise (product.metafields.shopify.waist-rise),Complementary products (product.metafields.shopify--discovery--product_recommendation.complementary_products),Related products (product.metafields.shopify--discovery--product_recommendation.related_products),Related products settings (product.metafields.shopify--discovery--product_recommendation.related_products_display),Search product boosts (product.metafields.shopify--discovery--product_search_boost.queries),Variant Image,Variant Weight Unit,Variant Tax Code,Cost per item,Included / United States,Price / United States,Compare At Price / United States,Included / International,Price / International,Compare At Price / International,Status +ebony-reed-blazer,Ebony Reed Blazer,"

Acknowledging the dark, textured blazer in the natural reed-filled setting.

",Firebase App Hosting,Apparel & Accessories > Clothing > Outerwear > Coats & Jackets,"",Winter Essentials,true,Size,s,product.metafields.shopify.size,,,,,,,"",907.18474,shopify,200,continue,manual,123.99,,true,true,"",https://cdn.shopify.com/s/files/1/0633/7576/9673/files/repSt1PHBhC.webp?v=1732143112,1,"",false,,,,,,,,,,,,,,adults,black,s; l; m,long,unisex,,,,,,,lb,,,true,,,true,,,active +ebony-reed-blazer,,,,,,,,,l,,,,,,,,"",907.18474,shopify,199,continue,manual,123.99,,true,true,"",,,,,,,,,,,,,,,,,,,,,,,,,,,,,lb,,,,,,,,, +ebony-reed-blazer,,,,,,,,,m,,,,,,,,"",907.18474,shopify,200,continue,manual,123.99,,true,true,"",,,,,,,,,,,,,,,,,,,,,,,,,,,,,lb,,,,,,,,, +amber-sunset-blazer-set,Amber Sunset Blazer Set,

Drawing from the warm orange blazer paired with a complementary ivory outfit.

,Firebase App Hosting,Apparel & Accessories > Clothing > Outfit Sets,"",Winter Essentials,true,Size,s,product.metafields.shopify.size,,,,,,,"",907.18474,shopify,199,continue,manual,123.99,,true,true,"",https://cdn.shopify.com/s/files/1/0633/7576/9673/files/Ta25G2YC-Ot.webp?v=1732143017,1,"",false,,,,,,,,,,,,,,adults,orange,s; m,,unisex,,,,,,,lb,,,true,,,true,,,active +amber-sunset-blazer-set,,,,,,,,,m,,,,,,,,"",907.18474,shopify,200,continue,manual,123.99,,true,true,"",,,,,,,,,,,,,,,,,,,,,,,,,,,,,lb,,,,,,,,, +ivory-meadow-blazer,Ivory Meadow Blazer,

Inspired by the serene outdoor setting and the ivory-tone jacket.

,Firebase App Hosting,Apparel & Accessories > Clothing > Outerwear > Coats & Jackets,"",Winter Essentials,true,Size,m,product.metafields.shopify.size,,,,,,,"",0.0,shopify,200,deny,manual,123.99,,true,true,"",https://cdn.shopify.com/s/files/1/0633/7576/9673/files/3w_lFXHucGR.webp?v=1732142753,1,"",false,,,,,,,,,,,,,,adults,beige,m; l; xl; s,long,unisex,,,,,,,lb,,,true,,,true,,,active +ivory-meadow-blazer,,,,,,,,,l,,,,,,,,"",0.0,shopify,199,deny,manual,123.99,,true,true,"",,,,,,,,,,,,,,,,,,,,,,,,,,,,,lb,,,,,,,,, +ivory-meadow-blazer,,,,,,,,,xl,,,,,,,,"",0.0,shopify,200,deny,manual,123.99,,true,true,"",,,,,,,,,,,,,,,,,,,,,,,,,,,,,lb,,,,,,,,, +ivory-meadow-blazer,,,,,,,,,s,,,,,,,,"",0.0,shopify,200,deny,manual,123.99,,true,true,"",,,,,,,,,,,,,,,,,,,,,,,,,,,,,lb,,,,,,,,, +classic-ivory-tailored-suit,Classic Ivory Tailored Suit,"

Highlighting the clean, classic design of the ivory suit in a minimalist background.

",Firebase App Hosting,Apparel & Accessories > Clothing > Suits > Pant Suits,"",Winter Essentials,true,Size,m,product.metafields.shopify.size,Color,beige,product.metafields.shopify.color-pattern,,,,"",453.59237,shopify,198,continue,manual,123.99,,true,true,"",https://cdn.shopify.com/s/files/1/0633/7576/9673/files/jLFmUSY2yWQ.webp?v=1732142536,1,"",false,,,,,,,,,,,,,,adults,beige,m,,unisex,mid,,,,,,lb,,,true,,,true,,,active +short-sleeve-t-shirt,Short sleeve t-shirt,"

Discover effortless comfort with our basic short sleeve t-shirt, crafted from 100% soft, breathable cotton. Perfect for everyday wear, this tee is lightweight and durable, offering a relaxed fit that pairs seamlessly with jeans, shorts, or layered under your favorite jacket. Simple yet stylish, it’s a wardrobe essential that balances quality and comfort—ideal for any casual look.

",Firebase App Hosting,Apparel & Accessories > Clothing > Clothing Tops > T-Shirts,"","",true,Size,s,product.metafields.shopify.size,Color,black,product.metafields.shopify.color-pattern,,,,"",0.0,shopify,10,deny,manual,45.00,,true,true,"",https://cdn.shopify.com/s/files/1/0633/7576/9673/files/T-shirt_design_2023.webp?v=1728509395,1,"",false,,,,,,,,,,,,,,,black; blue,s; m; l; xl,,,,,,,,,lb,,,true,,,true,,,active +short-sleeve-t-shirt,,,,,,,,,s,,,blue,,,,,,0.0,shopify,10,deny,manual,45.00,,true,true,"",,,,,,,,,,,,,,,,,,,,,,,,,,,,,lb,,,,,,,,, +short-sleeve-t-shirt,,,,,,,,,m,,,black,,,,,"",0.0,shopify,10,deny,manual,45.00,,true,true,"",,,,,,,,,,,,,,,,,,,,,,,,,,,,,lb,,,,,,,,, +short-sleeve-t-shirt,,,,,,,,,m,,,blue,,,,,,0.0,shopify,10,deny,manual,45.00,,true,true,"",,,,,,,,,,,,,,,,,,,,,,,,,,,,,lb,,,,,,,,, +short-sleeve-t-shirt,,,,,,,,,l,,,black,,,,,"",0.0,shopify,10,deny,manual,45.00,,true,true,"",,,,,,,,,,,,,,,,,,,,,,,,,,,,,lb,,,,,,,,, +short-sleeve-t-shirt,,,,,,,,,l,,,blue,,,,,,0.0,shopify,9,deny,manual,45.00,,true,true,"",,,,,,,,,,,,,,,,,,,,,,,,,,,,,lb,,,,,,,,, +short-sleeve-t-shirt,,,,,,,,,xl,,,black,,,,,"",0.0,shopify,9,deny,manual,45.00,,true,true,"",,,,,,,,,,,,,,,,,,,,,,,,,,,,,lb,,,,,,,,, +short-sleeve-t-shirt,,,,,,,,,xl,,,blue,,,,,,0.0,shopify,10,deny,manual,45.00,,true,true,"",,,,,,,,,,,,,,,,,,,,,,,,,,,,,lb,,,,,,,,, diff --git a/starters/nextjs/shopify-ecommerce/src/app/api/reviews/summary/route.ts b/starters/nextjs/shopify-ecommerce/src/app/api/reviews/summary/route.ts new file mode 100644 index 00000000..f71b872e --- /dev/null +++ b/starters/nextjs/shopify-ecommerce/src/app/api/reviews/summary/route.ts @@ -0,0 +1,44 @@ +import { GoogleGenerativeAI } from '@google/generative-ai' +import { NextResponse } from 'next/server' + +type Review = { + content: string +} + +export async function POST(request: Request) { + try { + const { reviews, count } = await request.json() + + if (!reviews?.length) { + return NextResponse.json({ summary: '' }) + } + + const reviewsText = reviews.map((review: Review) => review.content).join('\n') + + const prompt = + 'Generate a summary from the user reviews, keep it short and concise: \n\n' + + reviewsText + + '\n\n' + + '\n\n' + + 'Make sure to include the following keywords: fit, build quality, value, looks, washability.' + + '\n\n' + + '***Keep the summary under 350 characters.***' + + const genAI = new GoogleGenerativeAI(process.env.GOOGLE_API_KEY ?? '') + const model = genAI.getGenerativeModel({ model: 'gemini-1.5-flash' }) + const { response } = await model.generateContent([prompt]) + const summary = response?.text() ?? '' + + return NextResponse.json( + { summary, count }, + { + headers: { + 'Cache-Control': `public, s-maxage=86400, stale-while-revalidate=${count}` + } + } + ) + } catch (error) { + console.error(error) + return NextResponse.json({ error: 'Failed to generate review summary' }, { status: 500 }) + } +} diff --git a/starters/nextjs/shopify-ecommerce/src/app/auth/authentication.tsx b/starters/nextjs/shopify-ecommerce/src/app/auth/authentication.tsx new file mode 100644 index 00000000..863d6834 --- /dev/null +++ b/starters/nextjs/shopify-ecommerce/src/app/auth/authentication.tsx @@ -0,0 +1,195 @@ +'use client' + +import { useState } from 'react' +import { useRouter } from 'next/navigation' +import Button from '@/components/ui/button' +import Input from '@/components/ui/input' +import { handleCustomerCreate, handleCustomerLogin } from '@/lib/actions/auth' + +export default function Authentication() { + const [email, setEmail] = useState('') + const [password, setPassword] = useState('') + const [firstName, setFirstName] = useState('') + const [lastName, setLastName] = useState('') + const [isSignUp, setIsSignUp] = useState(false) + + const [error, setError] = useState('') + const router = useRouter() + + const handleEmailSignIn = async (e: React.FormEvent) => { + e.preventDefault() + const result = await handleCustomerLogin({ email, password }) + + if ('message' in result) { + setError(result.message) + return + } + + router.push('/') + } + + const handleEmailSignUp = async (e: React.FormEvent) => { + e.preventDefault() + const customerResult = await handleCustomerCreate({ + email, + password, + firstName, + lastName, + acceptsMarketing: false + }) + + if ('message' in customerResult) { + setError(customerResult.message) + return + } + + // After successful creation, sign in the user + const loginResult = await handleCustomerLogin({ email, password }) + + if ('message' in loginResult) { + setError(loginResult.message) + return + } + + router.push('/') + } + + return ( +
+
+ {isSignUp ? ( +
+

Register

+ +
+ + setFirstName(e.target.value)} + required + className="mt-2 mb-5" + /> + + setLastName(e.target.value)} + required + className="mt-2 mb-5" + /> + + setEmail(e.target.value)} + required + className="mt-2 mb-5" + /> + + setPassword(e.target.value)} + required + className="mt-2 mb-10" + /> + + +
+ + {error &&

{error}

} +
+ ) : ( +
+

Log in

+ +
+ + setEmail(e.target.value)} + required + className="mt-2 mb-5" + /> + + + setPassword(e.target.value)} + required + className="mt-2 mb-10" + /> + + +
+ + + + {error &&

{error}

} +
+ )} + + {isSignUp ? ( +
+

Already have an account?

+ +
+ ) : ( +
+

New customer?

+ +
+

Create an account with us and you'll be able to:

+
    +
  • Check out faster
    • +
  • Save multiple shipping addresses
    • +
  • Access your order history
    • +
  • Track new orders
    • +
  • Save items to your Wish List
    • +
+
+ + +
+ )} +
+
+ ) +} diff --git a/starters/nextjs/shopify-ecommerce/src/app/auth/page.tsx b/starters/nextjs/shopify-ecommerce/src/app/auth/page.tsx new file mode 100644 index 00000000..fcb065bd --- /dev/null +++ b/starters/nextjs/shopify-ecommerce/src/app/auth/page.tsx @@ -0,0 +1,14 @@ +import { cookies } from 'next/headers' +import Authentication from './authentication' +import { redirect } from 'next/navigation' + +export default async function AuthPage() { + const cookieStore = await cookies() + const customerAccessToken = cookieStore.get('__session')?.value + + if (customerAccessToken) { + return redirect('/orders') + } + + return +} diff --git a/starters/nextjs/shopify-ecommerce/src/app/cart/page.tsx b/starters/nextjs/shopify-ecommerce/src/app/cart/page.tsx new file mode 100644 index 00000000..147477e2 --- /dev/null +++ b/starters/nextjs/shopify-ecommerce/src/app/cart/page.tsx @@ -0,0 +1,20 @@ +import CartSection from '@/components/sections/cart-section' +import Button from '@/components/ui/button' +import { getCart } from '@/lib/shopify' +import { cookies } from 'next/headers' + +export default async function CartPage() { + const cartId = (await cookies()).get('cartId')?.value + const cart = await getCart(cartId) + + if (cart?.lines.length === 0 || !cart?.id) { + return ( +
+

Your cart is empty

+ +
+ ) + } + + return +} diff --git a/starters/nextjs/shopify-ecommerce/src/app/category/[handle]/page.tsx b/starters/nextjs/shopify-ecommerce/src/app/category/[handle]/page.tsx new file mode 100644 index 00000000..e1aa9965 --- /dev/null +++ b/starters/nextjs/shopify-ecommerce/src/app/category/[handle]/page.tsx @@ -0,0 +1,25 @@ +import CardOverlay from '@/components/sections/card-overlay' +import ProductList from '@/components/sections/product-list' +import { getCollectionProducts, getCollection } from '@/lib/shopify' + +export default async function ProductListPage({ params }: { params: Promise<{ handle: string }> }) { + const handle = (await params).handle + + const [products, collection] = await Promise.all([ + getCollectionProducts({ collection: handle }), + getCollection(handle) + ]) + + return ( + <> + + + + ) +} diff --git a/starters/nextjs/shopify-ecommerce/src/app/favicon.ico b/starters/nextjs/shopify-ecommerce/src/app/favicon.ico new file mode 100644 index 00000000..a85506df Binary files /dev/null and b/starters/nextjs/shopify-ecommerce/src/app/favicon.ico differ diff --git a/starters/nextjs/shopify-ecommerce/src/app/globals.css b/starters/nextjs/shopify-ecommerce/src/app/globals.css new file mode 100644 index 00000000..ccfa0a6d --- /dev/null +++ b/starters/nextjs/shopify-ecommerce/src/app/globals.css @@ -0,0 +1,69 @@ +@import url('https://fonts.googleapis.com/css2?family=Google+Sans:wght@400;500;700&display=swap'); + +@tailwind base; +@tailwind components; +@tailwind utilities; + +@layer base { + body { + color: var(--foreground); + background: var(--background); + font-family: 'Google Sans', Arial, sans-serif; + scroll-behavior: smooth; + -webkit-tap-highlight-color: transparent; + -webkit-font-smoothing: antialiased; + } + + :root { + --foreground: 0 0% 7.45%; + --background: 0 0% 100%; + + --gray-100: 0 0% 96.86%; + --gray-200: 0 0% 93.33%; + --gray-300: 0 0% 90.59%; + --gray-400: 0 0% 56.47%; + --gray-500: 0 0% 53.33%; + --gray-600: 0 0% 18.82%; + + --error: 11.95 100% 43.33%; + + --m-ease: cubic-bezier(0.86, 0, 0.07, 1); + } + .dark { + --foreground: 0 0% 93.33%; + --background: 0 0% 7.45%; + } +} + +@layer base { + * { + @apply border-gray-300 dark:border-gray-600; + } + body { + @apply bg-background text-foreground text-base; + } +} + +@layer components { + .mobile-nav-menu { + @apply absolute top-0 left-0 h-dvh w-full bg-background pt-20 px-5 transition-[opacity,transform] duration-300 ease-in-out; + } + .button { + @apply cursor-pointer text-foreground text-base inline-flex items-center justify-center gap-2 whitespace-nowrap font-medium transition-colors outline-none ring-offset-1 focus-visible:ring-1 ring-foreground disabled:pointer-events-none disabled:opacity-20 [&_svg]:shrink-0; + } + .container { + @apply lg:px-20; + } + .selected { + border-radius: 99px !important; + } + .blurred-edges { + position: absolute; + inset: 0; + border-radius: inherit; + pointer-events: none; + mask-image: radial-gradient(ellipse at center, transparent 40%, black 70%); + -webkit-mask-image: radial-gradient(ellipse at center, transparent 40%, black 70%); + backdrop-filter: blur(var(--blur)); + } +} diff --git a/starters/nextjs/shopify-ecommerce/src/app/layout.tsx b/starters/nextjs/shopify-ecommerce/src/app/layout.tsx new file mode 100644 index 00000000..67de3a07 --- /dev/null +++ b/starters/nextjs/shopify-ecommerce/src/app/layout.tsx @@ -0,0 +1,114 @@ +import type { Metadata } from 'next' +import './globals.css' +import HeaderContainer from '@/components/layout/header' +import Footer from '@/components/layout/footer' +import { Facebook, Instagram, X, Youtube } from '@/components/layout/footer/social-icons' +import { + Amex, + ApplePay, + Bitcoin, + GooglePay, + Mastercard, + Paypal, + Visa +} from '@/components/layout/footer/payment-icons' +import AnnouncementBar from '@/components/ui/announcement-bar' + +export const metadata: Metadata = { + title: 'Firebase Ecommerce Template', + description: 'Firebase Ecommerce Template' +} + +export default function RootLayout({ + children +}: Readonly<{ + children: React.ReactNode +}>) { + return ( + + + + Get 15% off and free shipping "welcome" + + +
{children}
+