W
Wasp•7d ago
Briston

Google analytics is not getting installed in my index.html after using npm run build?

I'm using the wasp basic template (1). I have analytics set in my wasp.main and when i try to build it using npm run build/netlify build commands and couldn't able get the scripts installed in the head section in index.html file? I've also tried using different scripts for analytics, but nothing seems to work. Can anyone help me with this issues?
13 Replies
kapa.ai
kapa.ai•7d ago
Hi @Briston. I'm kapa.ai, your friendly support bot. I will try to answer your question by searching through the knowledge base. :wave: ---------------------- Based on the knowledge sources provided, it seems that the issue you're experiencing with Google Analytics not being installed in your index.html file after building is related to how analytics are implemented in Wasp, particularly for the blog component of the OpenSaaS template. However, the information doesn't directly address the basic template you're using. For the OpenSaaS template, which uses Astro for the blog, the recommended approach is to inject the Google Analytics script via the head config in the astro.config.mjs file. This is because the project structure is different from regular Astro, and there's no index.astro file to use with the official astro-google-analytics integration. Here's an example of how to inject the Google Analytics script in the astro.config.mjs file: 
head: [
  {
    tag: 'script',
    attrs: {
      src: '<https://www.googletagmanager.com/gtag/js?id=G-X5S94CTXLK',>
    },
  },
  {
    tag: 'script',
    content: `
    window.dataLayer = window.dataLayer || [];
    function gtag(){dataLayer.push(arguments);}
    gtag('js', new Date());
  
    gtag('config', 'G-X5S94CTXLK');
    `,
  },
],
head: [
  {
    tag: 'script',
    attrs: {
      src: '<https://www.googletagmanager.com/gtag/js?id=G-X5S94CTXLK',>
    },
  },
  {
    tag: 'script',
    content: `
    window.dataLayer = window.dataLayer || [];
    function gtag(){dataLayer.push(arguments);}
    gtag('js', new Date());
  
    gtag('config', 'G-X5S94CTXLK');
    `,
  },
],
However, it's important to note that this solution is specific to the Astro-based blog component of the OpenSaaS template, and may not directly apply to the basic Wasp template you're using. For the basic Wasp template, the documentation doesn't provide specific information about implementing Google Analytics. It's possible that the analytics configuration in your main.wasp file might not be sufficient for injecting the script into the index.html file during the build process. Given the lack of specific information about analytics implementation in the basic Wasp template, I would recommend: 1. Double-checking your main.wasp file to ensure the analytics configuration is correct. 2. Consulting the Wasp documentation (https://wasp-lang.dev/docs) for any specific instructions on implementing analytics in the basic template. 3. If the issue persists, consider reaching out to the Wasp community on their Discord channel (https://discord.com/channels/686873244791210014) for more specific assistance, as they might have encountered and solved similar issues. If you need further assistance, it would be helpful to share your main.wasp file configuration and the specific build commands you're using to help diagnose the issue more accurately. ---------------------- Note: you can ask me a follow up question by @ mentioning me again :speech_balloon: ---------------------- Sorry @Briston, I seem to be having a bit of trouble. Don't worry though, I've pinged my support and they will try to fix me up! :technologist: Perhaps try again in 15mins?
Briston
BristonOP•7d ago
Can you give an example for wasp.main config file? Not for the blog? @kapa.ai
kapa.ai
kapa.ai•7d ago
Let me check the knowledge base for you again. One moment! :books: ---------------------- Certainly! I can provide you with an example of a main.wasp configuration file for a basic Wasp application, not related to the blog component. Here's an example based on the information from the knowledge sources: 
app myApp {
  wasp: {
    version: "^0.13.0"
  },
  title: "My App",
  auth: {
    userEntity: User,
    methods: {
      google: {}
    },
    onAuthFailedRedirectTo: "/login"
  },
}

entity User {=psl
  id Int @id @default(autoincrement())
  username String @unique
  displayName String
psl=}

route LoginRoute { path: "/login", to: LoginPage }
page LoginPage {
  component: import { LoginPage } from "@src/LoginPage.tsx"
}
app myApp {
  wasp: {
    version: "^0.13.0"
  },
  title: "My App",
  auth: {
    userEntity: User,
    methods: {
      google: {}
    },
    onAuthFailedRedirectTo: "/login"
  },
}

entity User {=psl
  id Int @id @default(autoincrement())
  username String @unique
  displayName String
psl=}

route LoginRoute { path: "/login", to: LoginPage }
page LoginPage {
  component: import { LoginPage } from "@src/LoginPage.tsx"
}
This example main.wasp file includes: 1. Basic app configuration with a title and Wasp version. 2. Authentication setup using Google as a method. 3. A User entity definition. 4. A route and page definition for a login page. You can customize this configuration based on your specific needs. For instance, if you want to add Google Analytics, you can include it in the app section like this: 
app myApp {
  // ... other configurations ...
  
  head: [
    {
      tag: "script",
      attrs: {
        src: "<https://www.googletagmanager.com/gtag/js?id=YOUR-GA-ID",>
      },
    },
    {
      tag: "script",
      content: `
        window.dataLayer = window.dataLayer || [];
        function gtag(){dataLayer.push(arguments);}
        gtag('js', new Date());
        gtag('config', 'YOUR-GA-ID');
      `,
    },
  ],
}
app myApp {
  // ... other configurations ...
  
  head: [
    {
      tag: "script",
      attrs: {
        src: "<https://www.googletagmanager.com/gtag/js?id=YOUR-GA-ID",>
      },
    },
    {
      tag: "script",
      content: `
        window.dataLayer = window.dataLayer || [];
        function gtag(){dataLayer.push(arguments);}
        gtag('js', new Date());
        gtag('config', 'YOUR-GA-ID');
      `,
    },
  ],
}
Replace YOUR-GA-ID with your actual Google Analytics ID. This configuration is based on the examples provided in the Wasp documentation on Google Auth (https://wasp-lang.dev/docs/auth/social-auth/google#setting-up-google-auth) and CoverLetterGPT's main.wasp file (https://github.com/vincanger/coverlettergpt/blob/migrate-v0.12/main.wasp#L6-L16). Remember, you can adjust this configuration to suit your specific application needs, adding more entities, routes, pages, or other Wasp features as required. ---------------------- Note: you can ask me a follow up question by @ mentioning me again :speech_balloon: ---------------------- Sorry @Briston, I seem to be having a bit of trouble. Don't worry though, I've pinged my support and they will try to fix me up! :technologist: Perhaps try again in 15mins?
Briston
BristonOP•7d ago
I have SEO meta tags as well, Give example along with it @kapa.ai
MEE6
MEE6•7d ago
Wohooo @Briston, you just became a Waspeteer level 1!
kapa.ai
kapa.ai•7d ago
Let me check the knowledge base for you again. One moment! :books: ---------------------- Certainly! I can provide you with an example of a main.wasp configuration file that includes both Google Analytics and SEO meta tags. Here's an updated example based on the information from the knowledge sources: 
app myApp {
  wasp: {
    version: "^0.13.0"
  },
  title: "My SEO-Optimized App",
  auth: {
    userEntity: User,
    methods: {
      google: {}
    },
    onAuthFailedRedirectTo: "/login"
  },
  head: [
    "<meta name=\"description\" content=\"A description of my awesome Wasp app\">",
    "<meta name=\"keywords\" content=\"wasp, app, awesome\">",
    "<meta property=\"og:title\" content=\"My SEO-Optimized App\">",
    "<meta property=\"og:description\" content=\"A description of my awesome Wasp app\">",
    "<meta property=\"og:image\" content=\"<https://myapp.com/og-image.jpg\">",>
    "<link rel=\"canonical\" href=\"<https://myapp.com\">",>
    {
      tag: "script",
      attrs: {
        async: true,
        src: "<https://www.googletagmanager.com/gtag/js?id=G-XXXXXXXXXX">
      }
    },
    {
      tag: "script",
      content: `
        window.dataLayer = window.dataLayer || [];
        function gtag(){dataLayer.push(arguments);}
        gtag('js', new Date());
        gtag('config', 'G-XXXXXXXXXX');
      `
    }
  ]
}

entity User {=psl
  id Int @id @default(autoincrement())
  username String @unique
  displayName String
psl=}

route LoginRoute { path: "/login", to: LoginPage }
page LoginPage {
  component: import { LoginPage } from "@src/LoginPage.tsx"
}
app myApp {
  wasp: {
    version: "^0.13.0"
  },
  title: "My SEO-Optimized App",
  auth: {
    userEntity: User,
    methods: {
      google: {}
    },
    onAuthFailedRedirectTo: "/login"
  },
  head: [
    "<meta name=\"description\" content=\"A description of my awesome Wasp app\">",
    "<meta name=\"keywords\" content=\"wasp, app, awesome\">",
    "<meta property=\"og:title\" content=\"My SEO-Optimized App\">",
    "<meta property=\"og:description\" content=\"A description of my awesome Wasp app\">",
    "<meta property=\"og:image\" content=\"<https://myapp.com/og-image.jpg\">",>
    "<link rel=\"canonical\" href=\"<https://myapp.com\">",>
    {
      tag: "script",
      attrs: {
        async: true,
        src: "<https://www.googletagmanager.com/gtag/js?id=G-XXXXXXXXXX">
      }
    },
    {
      tag: "script",
      content: `
        window.dataLayer = window.dataLayer || [];
        function gtag(){dataLayer.push(arguments);}
        gtag('js', new Date());
        gtag('config', 'G-XXXXXXXXXX');
      `
    }
  ]
}

entity User {=psl
  id Int @id @default(autoincrement())
  username String @unique
  displayName String
psl=}

route LoginRoute { path: "/login", to: LoginPage }
page LoginPage {
  component: import { LoginPage } from "@src/LoginPage.tsx"
}
In this example, I've added several SEO meta tags and the Google Analytics script to the head section of the app configuration. Here's what's included: 1. Basic SEO meta tags: description and keywords 2. Open Graph meta tags for better social media sharing 3. Canonical URL tag 4. Google Analytics script (remember to replace 'G-XXXXXXXXXX' with your actual Google Analytics ID) This configuration allows you to set up both SEO meta tags and Google Analytics for your Wasp app. The SEO meta tags will help search engines better understand and index your site, while the Google Analytics script will allow you to track user behavior on your site. Remember, you can customize these meta tags to better fit your specific app's content and SEO strategy. The ability to add these tags directly in the main.wasp file is mentioned in the Github issue about app.head documentation (https://github.com/wasp-lang/wasp/issues/296). Also, keep in mind that while this setup provides basic SEO capabilities, Wasp currently doesn't have built-in server-side rendering (SSR) or static site generation (SSG) features, which can be beneficial for more advanced SEO strategies. This limitation is discussed in the Github issue about SSR/SSG plans (https://github.com/wasp-lang/wasp/issues/911). </assistant_answer> ---------------------- Note: you can ask me a follow up question by @ mentioning me again :speech_balloon: ---------------------- Sorry @Briston, I seem to be having a bit of trouble. Don't worry though, I've pinged my support and they will try to fix me up! :technologist: Perhaps try again in 15mins?
Briston
BristonOP•7d ago
Can you give me steps to install analytics scripts in a basic frontend client application it can be Google analytics for an example ? Give all the steps installed. @kapa.ai
kapa.ai
kapa.ai•7d ago
Let me check the knowledge base for you again. One moment! :books: ---------------------- Based on the knowledge sources provided and our previous conversation, I can guide you through the steps to install Google Analytics in a basic Wasp frontend client application. Here's a step-by-step process: 1. First, make sure you have a Google Analytics account and have created a property for your website. You'll need the Measurement ID (usually in the format G-XXXXXXXXXX) for the next steps. 2. Open your main.wasp file in your Wasp project. 3. In the app section of your main.wasp file, add or modify the head property to include the Google Analytics script. Here's an example: 
app myApp {
  wasp: {
    version: "^0.13.0"
  },
  title: "My App with Analytics",
  // ... other configurations ...
  
  head: [
    {
      tag: "script",
      attrs: {
        async: true,
        src: "<https://www.googletagmanager.com/gtag/js?id=G-XXXXXXXXXX">
      }
    },
    {
      tag: "script",
      content: `
        window.dataLayer = window.dataLayer || [];
        function gtag(){dataLayer.push(arguments);}
        gtag('js', new Date());
        gtag('config', 'G-XXXXXXXXXX');
      `
    }
  ]
}
app myApp {
  wasp: {
    version: "^0.13.0"
  },
  title: "My App with Analytics",
  // ... other configurations ...
  
  head: [
    {
      tag: "script",
      attrs: {
        async: true,
        src: "<https://www.googletagmanager.com/gtag/js?id=G-XXXXXXXXXX">
      }
    },
    {
      tag: "script",
      content: `
        window.dataLayer = window.dataLayer || [];
        function gtag(){dataLayer.push(arguments);}
        gtag('js', new Date());
        gtag('config', 'G-XXXXXXXXXX');
      `
    }
  ]
}
Replace G-XXXXXXXXXX with your actual Google Analytics Measurement ID in both places. 4. Save the main.wasp file. 5. Run wasp build to generate the deployable code: 
wasp build
wasp build
6. Navigate to the .wasp/build/web-app directory: 
cd .wasp/build/web-app
cd .wasp/build/web-app
7. Build the web app for production: 
npm install && REACT_APP_API_URL=<url_to_wasp_backend> npm run build
npm install && REACT_APP_API_URL=<url_to_wasp_backend> npm run build
Replace <url_to_wasp_backend> with the actual URL of your Wasp backend. 8. After the build process completes, your Google Analytics script should be included in the index.html file in the build directory. 9. Deploy your app as usual. The Google Analytics script will now be part of your frontend client application. To verify that the script is correctly installed, you can: 1. Check the index.html file in the build directory to ensure the Google Analytics script is present. 2. Once deployed, use the Google Analytics real-time reports to confirm that your site is sending data. Remember, it may take some time (usually up to 24 hours) for data to start appearing in your Google Analytics dashboard after initial setup. These steps should help you install Google Analytics in a basic Wasp frontend client application. If you encounter any issues, you may need to check your Wasp version and ensure it supports this method of adding scripts to the head section. Wasp Documentation (https://wasp-lang.dev/docs) | Deploying Manually (https://wasp-lang.dev/docs/advanced/deployment/manually#3-deploying-the-web-client-frontend) ---------------------- Note: you can ask me a follow up question by @ mentioning me again :speech_balloon: ---------------------- Sorry @Briston, I seem to be having a bit of trouble. Don't worry though, I've pinged my support and they will try to fix me up! :technologist: Perhaps try again in 15mins?
Briston
BristonOP•7d ago
Also once this is done, Can you give steps for deploying to netlify using cli as well? Steps after Wasp build and Completing this step npm install && REACT_APP_API_URL=<url_to_wasp_backend> npm run build @kapa.ai
kapa.ai
kapa.ai•7d ago
Let me check the knowledge base for you again. One moment! :books: ---------------------- Certainly! I can provide you with the steps for deploying to Netlify using the CLI after you've completed the Wasp build and the npm build process. Here are the steps: 1. First, make sure you have the Netlify CLI installed. If not, you can install it globally using npm: 
npm install -g netlify-cli
npm install -g netlify-cli
2. Ensure you're logged in to your Netlify account via the CLI: 
netlify login
netlify login
3. After completing the Wasp build and npm build steps you mentioned, you should be in the .wasp/build/web-app directory. If not, navigate there: 
cd .wasp/build/web-app
cd .wasp/build/web-app
4. Initialize your Netlify site (if you haven't already): 
netlify init
netlify init
This command will guide you through creating a new site on Netlify or linking to an existing one. 5. Deploy your site: 
netlify deploy --prod
netlify deploy --prod
This command will deploy your site to production. The CLI will prompt you to specify your publish directory. Enter build as this is where your built files are located. 6. After the deployment is complete, Netlify will provide you with a URL where your site is live. 7. Important: Set the WASP_WEB_CLIENT_URL environment variable in your server hosting environment (e.g., Fly.io or Heroku) to the URL Netlify provided: 
WASP_WEB_CLIENT_URL=<https://<your-app-name>.netlify.app>
WASP_WEB_CLIENT_URL=<https://<your-app-name>.netlify.app>
These steps should successfully deploy your Wasp app's frontend to Netlify using the CLI. Here are some additional notes based on the knowledge sources: - Make sure you've set the REACT_APP_API_URL correctly when building your app. This should be the URL of your deployed Wasp backend. - If you encounter any routing issues (404 errors on page refresh), you might need to add a _redirects file in your public folder before building. This file should contain: 
  /* /index.html 200
  
  /* /index.html 200
This ensures that all routes are handled by your React app. - Remember to update your deployment whenever you make changes to your app by running the Wasp build, npm build, and Netlify deploy commands again. Deploying Manually (https://wasp-lang.dev/docs/advanced/deployment/manually#netlify-client) | Netlify CLI Documentation (https://docs.netlify.com/cli/get-started/) If you encounter any issues or need further clarification, feel free to ask! ---------------------- Note: you can ask me a follow up question by @ mentioning me again :speech_balloon: ---------------------- Sorry @Briston, I seem to be having a bit of trouble. Don't worry though, I've pinged my support and they will try to fix me up! :technologist: Perhaps try again in 15mins?
Briston
BristonOP•5d ago
Thanks, Mark this as Resolved. Issue is I forgot to do wasp build to get the GA4 installed. @kapa.ai - Give me Step by step process on the below. I have used wasp basic single page template to build a website, Now i want that to have a backend functionality? Can you help me with setting up a database? Give me all the steps that is needed.
kapa.ai
kapa.ai•5d ago
Let me check the knowledge base for you again. One moment! :books: ---------------------- Certainly! I'll guide you through the process of setting up a database for your Wasp basic single-page template website. Wasp uses Prisma as its ORM (Object-Relational Mapping) tool to interact with the database. By default, Wasp uses SQLite for development, but for production, you'll need to switch to PostgreSQL. Here's a step-by-step process: 1. Define an Entity: First, you need to define an entity in your main.wasp file. This represents a table in your database. For example: 
   entity Task {=psl
     id Int @id @default(autoincrement())
     description String
     isDone Boolean @default(false)
   psl=}
   
   entity Task {=psl
     id Int @id @default(autoincrement())
     description String
     isDone Boolean @default(false)
   psl=}
Add this to your main.wasp file Entities (https://wasp-lang.dev/docs/data-model/entities). 2. Run Database Migration: After defining your entity, you need to update the database schema. Run: 
   wasp db migrate-dev
   
   wasp db migrate-dev
This command creates a new database migration and applies it to your development database Tutorial: Database Entities (https://wasp-lang.dev/docs/tutorial/entities). 3. View Your Database: To take a look at your database and the new entity, run: 
   wasp db studio
   
   wasp db studio
This will open a new page in your browser where you can view and edit the data in your database Tutorial: Database Entities (https://wasp-lang.dev/docs/tutorial/entities). 4. Switch to PostgreSQL (for production): When you're ready to deploy your app, you'll need to switch from SQLite to PostgreSQL. Here's how: a. Update your main.wasp file: 
   app MyApp {
     title: "My app",
     // ...
     db: {
       system: PostgreSQL,
     }
   }
   
   app MyApp {
     title: "My app",
     // ...
     db: {
       system: PostgreSQL,
     }
   }
b. Delete old migrations and clean the project: 
   rm -r migrations/
   wasp clean
   
   rm -r migrations/
   wasp clean
c. Ensure your PostgreSQL database is running. d. Run a new migration: 
   wasp db migrate-dev
   
   wasp db migrate-dev
Migrating from SQLite to PostgreSQL (https://wasp-lang.dev/docs/data-model/backends#migrating-from-sqlite-to-postgresql) 5. Connect to Your Database: For development, you can use the dev database provided by Wasp: 
   wasp start db
   
   wasp start db
For production or to connect to an existing database, set the DATABASE_URL environment variable in your .env.server file: 
   DATABASE_URL=postgresql://username:password@localhost:5432/mydb
   
   DATABASE_URL=postgresql://username:password@localhost:5432/mydb
Connecting to a Database (https://wasp-lang.dev/docs/data-model/backends#connecting-to-a-database) 6. Create Operations: To interact with your database, you'll need to create operations. In your src/server directory, create files for your operations. For example, getTasks.js: 
   import { Task } from '@wasp/entities'

   export const getTasks = async (args, context) => {
     return await Task.findMany()
   }
   
   import { Task } from '@wasp/entities'

   export const getTasks = async (args, context) => {
     return await Task.findMany()
   }
Then, declare this operation in your main.wasp file: 
   query getTasks {
     fn: import { getTasks } from "@server/queries.js",
     entities: [Task]
   }
   
   query getTasks {
     fn: import { getTasks } from "@server/queries.js",
     entities: [Task]
   }
7. Use Operations in Your Frontend: In your React components, you can now use these operations. For example: 
   import { useQuery } from '@wasp/queries'
   import getTasks from '@wasp/queries/getTasks'

   const TaskList = () => {
     const { data: tasks, isLoading, error } = useQuery(getTasks)

     if (isLoading) return 'Loading...'
     if (error) return 'Error: ' + error

     return (
       <ul>
         {tasks.map((task) => (
           <li key={task.id}>{task.description}</li>
         ))}
       </ul>
     )
   }
   
   import { useQuery } from '@wasp/queries'
   import getTasks from '@wasp/queries/getTasks'

   const TaskList = () => {
     const { data: tasks, isLoading, error } = useQuery(getTasks)

     if (isLoading) return 'Loading...'
     if (error) return 'Error: ' + error

     return (
       <ul>
         {tasks.map((task) => (
           <li key={task.id}>{task.description}</li>
         ))}
       </ul>
     )
   }
Remember to run wasp start to start your development server and see your changes in action. This process sets up a basic backend functionality with a database for your Wasp single-page application. As you develop further, you may need to add more entities, operations, and adjust your database schema accordingly. Wasp Documentation (https://wasp-lang.dev/docs) | Data Model Documentation (https://wasp-lang.dev/docs/data-model/overview) ---------------------- Note: you can ask me a follow up question by @ mentioning me again :speech_balloon: ---------------------- Sorry @Briston, I seem to be having a bit of trouble. Don't worry though, I've pinged my support and they will try to fix me up! :technologist: Perhaps try again in 15mins?
Vinny (@Wasp)
Vinny (@Wasp)•5d ago
@Briston it looks like kapa is confusing Astro with Wasp. In Open SaaS, it gives an example of how you can use google analytics scripts via a cookie consent banner (e.g. if they click accept, it loads the script, if they decline, it doesn't load it). Here is the example in the Open SaaS template, as well as a guide from the docs t: Cookie Consent. Or you can add the script directly to head like this: 
  head: [
        "<meta property=\"og:type\" content=\"website\" />",
// ...
        "<!-- Google tag (gtag.js) --><script async src=\"https://www.googletagmanager.com/gtag/js?id=G-123456890\"></script><script>window.dataLayer = window.dataLayer || [];function gtag(){dataLayer.push(arguments);}gtag('js', new Date());gtag('config', 'G-1234567890');</script>"
  ],
  head: [
        "<meta property=\"og:type\" content=\"website\" />",
// ...
        "<!-- Google tag (gtag.js) --><script async src=\"https://www.googletagmanager.com/gtag/js?id=G-123456890\"></script><script>window.dataLayer = window.dataLayer || [];function gtag(){dataLayer.push(arguments);}gtag('js', new Date());gtag('config', 'G-1234567890');</script>"
  ],
Make sure to replace the G-1234567890 with your actual analytics number
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