Building a Real-Time Logistics App with Strapi and Angular: A 7-Part Series Guide Using TypeScript, Prisma, PostgreSQL, and GraphQL

[Okeke12nancy]

Building a Real-Time Logistics App with Strapi and Angular: A 7-Part Series Guide Using TypeScript, Prisma, PostgreSQL, and GraphQL

[Theodore-Kelechukwu-Onyejiaku]

Hi @Okeke12nancy ,

This looks great! However, your outline seems to only include the basics of any Strapi app with any frontend technology.

Can we make this a full-blown app? Perhaps include real time location tracking, geo-location with map features, real-time notification with web socket, and any other cool technologies etc. ?

Please let me know.

[Okeke12nancy]

Hey @Theodore-Kelechukwu-Onyejiaku , sure

Here is the updated outline:

Part 1: Setting Up Your Angular Frontend

• Installing and Configuring Angular and TypeScript
  • Overview of Angular and TypeScript.
  • Installing Angular CLI and creating a new project.
  • Configuring TypeScript for the project.
• Initial Project Setup
  • Setting up the basic project structure.
  • Installing necessary dependencies.
  • Creating foundational components of the logistics app.

Part 2: Designing the User Interface in Angular

• Creating Components for User Interfaces
  • Designing interfaces for customers and couriers.
  • Implementing reusable UI components.
• Responsive Design and Navigation
  • Implementing responsive design using Angular Material or Bootstrap.
  • Setting up navigation for seamless user experience.

Part 3: Integrating Map Features in the UI

• Using Map Libraries
  • Integrating Leaflet or Google Maps API for geolocation and map features.
  • Displaying real-time locations on a map.
• Interactive Map Elements
  • Adding markers for customers and couriers.
  • Implementing location-based functionalities.

Part 4: Developing Angular Services for API Interaction

• Setting Up Angular Services
  • Creating services to interact with the GraphQL API.
  • Handling authentication and authorization.
• Managing Data Services
  • Developing services for managing customers, couriers, and orders data.
  • Implementing data caching and error handling.

Part 5: Implementing Real-Time Data Sync with WebSocket

• Setting Up WebSocket in Angular
  • Configuring WebSocket for real-time communication.
  • Implementing real-time updates for order status and location tracking.
• Handling Real-Time Data in the UI
  • Updating UI components with real-time data.
  • Managing real-time notifications and alerts.

Part 6: Setting Up Your Strapi Backend

• Installing and Configuring Strapi, Prisma, PostgreSQL, and GraphQL
  • Overview of the backend stack.
  • Installing and setting up Strapi and Prisma.
  • Configuring PostgreSQL and GraphQL.
• Initial Project Setup and Configuration
  • Setting up the basic structure of the Strapi project.
  • Configuring environment variables and project settings.

Part 7: Designing and Implementing Data Models

• Creating Data Models with Prisma
  • Designing data models for customers, couriers, and orders.
  • Setting up database relationships and migrations.
• Implementing Geolocation Data Models
  • Adding geolocation fields to relevant models.
  • Handling spatial data with PostgreSQL.

Part 8: Building the GraphQL API in Strapi

• Creating a Robust GraphQL API
  • Setting up GraphQL endpoints for CRUD operations.
  • Securing the API with authentication and authorization.
• Implementing Advanced Data Operations
  • Creating complex queries and mutations.
  • Implementing pagination, filtering, and sorting.

Part 9: Progressive Web App (PWA) Capabilities

• Offline Functionality
  • Implementing service workers and caching strategies for offline access.
  • Ensuring key features are available even without an internet connection.
• Push Notifications
  • Integrating push notification services like Firebase Cloud Messaging.
  • Sending real-time notifications for order updates and alerts.

Part 10: Advanced Analytics and Reporting

• Data Visualization
  • Implementing advanced data visualization tools such as D3.js or Chart.js.
  • Creating interactive charts and graphs for insights into logistics data.
• Real-Time Analytics
  • Using tools like Apache Kafka for real-time data streaming and processing.
  • Implementing analytics dashboards for monitoring key metrics.

[Theodore-Kelechukwu-Onyejiaku]

Hi @Okeke12nancy ,

Thank you so much for the update. However, I am wondering where Prisma is needed? 🤔

[Okeke12nancy]

@Theodore-Kelechukwu-Onyejiaku , it helps make database interaction easy. But I can remove it if you want me to.