Memealyzer determines if a meme's sentiment is positive, negative, or neutral.

For example, given this meme:

Memealyzer will extract the text, analyize the sentiment of that text, and then change the border color to red for negative sentiment, green for positive, and yellow for neutral.

Memealyzer is an app built to demonstrate some the latest and greatest Azure tech to dev, debug, and deploy microservice applications, including:

• Azure SDKs - to interact Azure services
• Bicep & Azure CLI - to provision Azure resources
• Project Tye to dev, debug, and deploy the solution
• Blazor - for a responsive client-side app built with .NET/C#.
• Azure Functions - to connect message queues with SignalR
• Azure SignalR Service - to send messages to the web app

Since 12/5/2020, this project will use Bicep and Project Tye instead of Terraform and Docker Compose, so we will not keep those files up to date. They will be kept in the project for historical purposes only. More info can be found on the "Legacy Tools" page

This is the current .NET architecture - we are in the process of developing for other languages and architectures as well.

The following Azure resources are used in this application:

1. Resource Group
2. Storage Account
3. Cognitive Services Form Recognizer
4. Cognitive Services Text Analytics
5. Cosmos DB
6. Key Vault
7. Azure Kubernetes Service
8. Application Insights
9. Azure SignalR Service
10. Azure Functions
11. Azure Service Bus

You can select the Data and Messaging Providers via environment variables. See the "Environment Variables" section below for more information.

We follow a 5 step process to go from nothing to a completely deployed Azure solution.

1. Start Dev Container with GitHub Codespaces or VS Codespaces
2. Login with Azure CLI
3. Provision Azure Resources with Bicep
4. Run Locally with Tye
5. Deploy to Azure with Tye

You will see {BASENAME} throughout this document. Replace it with any unique text that you'd like, such as memealyzer007. That will be used as the basename for all your Azure resources, i.e. If you use memealyzer007, then the resource group will be named memealyzer007rg.

Codespaces support is coming soon. In the meantime, please install these components to setup your dev machine.

1. Terminal - WSL2, Zsh, GitBash, PowerShell, not Windows Command prompt as this application uses bash script files.
2. Azure CLI
3. Git
4. VS Code
5. Docker
6. Kubectl
7. .NET SDK - 5.0
8. Azure Functions Core Tools - v3.0.2881 minimum
9. Project Tye
10. Bicep

We use the Azure CLI to perform resource deployment and configuration. The scripts below will automatically prompt you to login to the Azure CLI and set your active Azure subscription.

You can set the SUBSCRIPTION_ID environment variable in the .env file if you don't want to be prompted every time you run these scripts.

This will provision all the required Azure resources with Bicep and run the app locally with Tye.

• ./provision.sh {BASENAME}

It may take up to 30 minutes to provision all resources.

Now that our Azure Resources are provisioned, we'll now use Tye to run our application locally.

1. ./run.sh {BASENAME}
2. Open the Tye dashboard: http://localhost:8000 and ensure that all services are running.

   Note that the Azure Function takes a few minutes to start, so if you get an error while loading the app, then wait a few minutes before trying again.

3. Open http://localhost:1080
4. You can add memes by clicking on the " " button
5. You can start the memestream by clicking on the "∞" button. This will add a new meme every 5 seconds.

Now that we've provisioned our resources and tested locally, it is time to deploy our code to Azure with Tye.

1. ./deploy.sh {BASENAME}

   It may take up to 30 minutes to provision all resources.

2. Click on the link that is outputted to the console - this address will be unique to your deployment.

You can open the entire VS Code workspace here

• ./open.sh

  or

• Open /src/net/memealyzer.code-workspace

  or

• ./open.sh insiders - if you are using VS Code Insiders

To only deploy resources:

1. Provision Azure Resources with Bicep:
   1. CD to iac\bicep
   2. Run ./deploy.sh {BASENAME}

To run the app locally:

1. Run Application with Project Tye:
   1. CD to pac\net\tye
   2. Run ./run.sh {BASENAME}
   3. Open http://localhost:1080
   4. Click (single) or ∞ (stream) buttons to analyze memes.
   5. Enjoy the memes and the sentiment analysis.

To run the app in Azure:

1. Deploy Application to Azure with Project Tye:
   1. CD to pac\net\tye
   2. Run ./deploy.sh {BASENAME}
   3. Click on the IP ADDRESS that is outputted to the console to load Memealyzer.

You can configure which store the app uses to persist your image metadata, either Cosmos DB or Azure Table Storage.

1. Open .env file
2. Find or add the AZURE_STORAGE_TYPE setting
3. Set it to one of the following values:
   • COSMOS_SQL - This will instruct the app to use Cosmos DB.
   • STORAGE_TABLE - This will instruct the app to use Azure Storage Tables.

You can configure which messaging service you want to use, either Service Bus Queue or Azure Storage Queue.

1. Open .env file
2. Find or add the AZURE_MESSAGING_TYPE setting
3. Set it to one of the following values:
   • SERVICE_BUS_QUEUE - This will instruct the app to use Service Bus Queue.
   • STORAGE_QUEUE - This will instruct the app to use Azure Storage Queue.

You can configure the image border style with the Azure App Configuration service. It will default to solid, but you can change it to any valid CSS border style. You can either do this in the Azure Portal, or via the Azure CLI with this command:

az appconfig kv set -y -n {BASENAME}appconfig --key borderStyle --value dashed

After you change the setting, reload the WebApp to see the new style take effect.

You can add override any of the following environment variables to suit your needs. Memealyzer chooses smart defaults that match what is created when you deploy the app with Terraform.