Knowledge Factory

Explanation of Flow: User Registration : The user submits the registration form in the Angular frontend, which sends the details to the AuthService . The AuthService then communicates with the Flask backend to register the user and receives a success response. User Login : The user submits the login form, and the Angular frontend calls the AuthService with the login credentials. The AuthService sends these credentials to the Flask backend, where they are verified against the UserModel . If successful, Flask generates a JWT token using JWTManager , sends it back to the AuthService , which stores the token in localStorage . Accessing Protected Route : The user tries to access a protected route. Angular checks if the user is authenticated by verifying the JWT token stored in localStorage . Angular sends the token in the request to Flask. Flask verifies the token using JWTManager and, if valid, returns the protected content to Angular, which then displays it to the user. This sequence ...

Here's the the workflow for sending an email using Azure Communication Services in a Python Flask application: Key Components: User : The individual interacting with the system. Browser : The interface through which the user accesses the Flask app. Flask App : The backend application handling the logic. Azure Communication Services (ACS) : The service used for sending emails. This sequence diagram ensures a clear understanding of the interaction flow, error handling, and successful email delivery process. To send an email using Azure Communication Services (ACS) in a Python Flask application, follow this step-by-step guide. The process involves setting up ACS, creating a Flask app, and integrating the email sending functionality. Step 1: Set Up Azure Communication Services Create an Azure Communication Services Resource : Go to the Azure portal: https://portal.azure.com/ Search for Azure Communication Services and create a new resource. Once the resource is created, go to the Keys...

Here’s a complete end-to-end guide on how to integrate Azure Key Vault with a Python Flask application, including all the necessary steps for both local and production environments. Prerequisites: Azure Subscription : You need an active Azure subscription. If you don’t have one, create a free account at Azure Free Account . Azure Key Vault : Set up an Azure Key Vault instance in your Azure portal. Here’s how: Go to the Azure portal. Search for Key Vault and create a new Key Vault. After the Key Vault is created, go to the Secrets section and add a new secret (e.g., MySecret with a value). Azure Active Directory (AAD) : Make sure your Flask app is registered with Azure AD (if you’re using Service Principal or Managed Identity for authentication). Install Azure CLI : If you’re developing locally, ensure that Azure CLI is installed and you’re signed in ( az login ). Step 1: Install Required Libraries Install the required libraries using pip: pip install azure- identity azure-keyvault...

To build a RESTful APIs for CRUD operations with Flask and Azure Cosmos DB, follow these steps: Prerequisites: Azure account : Create an account if you don't already have one Azure Sign Up . Azure Cosmos DB : Create a Cosmos DB account (SQL API recommended) from the Azure portal. Python environment : Ensure Python 3.7+ is installed. Install necessary libraries : Flask and Azure Cosmos DB SDK. Step 1: Install Required Libraries You'll need the following libraries for the Flask app and Azure Cosmos DB integration: pip install flask azure-cosmos Step 2: Set Up Azure Cosmos DB Create a Cosmos DB account : Go to Azure Portal > Create a resource > Azure Cosmos DB. Choose SQL API. After the Cosmos DB account is created, get the URI and Primary Key from the Keys section of your Cosmos DB instance. Create a Database and Container : In your Cosmos DB instance, create a database (e.g., flaskDB ). Create a container inside the database (e.g., items ) with a partition key, such a...

To deploy a Python Flask application to Azure App Service, you can follow these steps: Prerequisites: Azure account (create one if you don’t have one: Azure Free Account ). Install Azure CLI : Install Azure CLI . Install Git : Download Git . Have Python 3.x installed. Steps for Deployment: 1. Create a Flask Application (if not already done) Ensure your Flask app is structured like this: my -flask-app/ │ ├── app.py # Your Flask application file ├── requirements.txt # List of dependencies ├── .gitignore # Ignore unnecessary files └── runtime.txt # Specify Python version 2. Create a requirements.txt File You can create this file by running: pip freeze > requirements.txt This will include all the required Python dependencies, including Flask and azure-cosmos . 3. Create a runtime.txt File In the root of your project, create a runtime.txt file that specifies the Python version. For example: python-3 .9 4. Prepare a web.config for Azure App Service (Optiona...

To deploy a Python Flask application on Azure Kubernetes Service (AKS), you'll need to follow these steps: Prerequisites: Azure Account : You should have an Azure account. If not, you can create one at Azure Portal . Azure CLI : Install and set up Azure CLI on your local machine. Follow the instructions here . Kubernetes CLI (kubectl) : Install Kubernetes CLI on your local machine. Instructions can be found here . Docker : Install Docker on your local machine for containerizing the Flask application. Instructions are available here . Flask Application : You need a Python Flask application ready for deployment. If you don't have one, you can create a simple app like this: # app.py from flask import Flask app = Flask(__name__) @app.route('/') def hello_world () : return 'Hello, World!' if __name__ == "__main__" : app.run(debug= True , host= '0.0.0.0' ) Steps: 1. Create and configure the Azure Kubernetes Service (AKS) cluster: O...