AADI

Guided tour

1. 💡01

   GPS-Powered Order Orchestration

   Arrive is a capacity-aware order orchestration platform that ensures food is freshly prepared as customers approach the restaurant. It leverages geofencing and real-time kitchen capacity evaluation to optimize dispatch timing.

   • ✓Uses GPS for order dispatch
2. 🛠02

   Microservice Architecture

   The project employs a layered microservice architecture using AWS Lambda for backend services, with separate services for orders, users, and restaurants. It also includes a shared utilities layer for common functionalities.

   • ✓Utilizes AWS Lambda for backend
3. 📄03

   Capacity Engine Logic

   The file `services/orders/tests/test_capacity.py` contains tests for the capacity engine logic that evaluates kitchen capacity and manages order states based on real-time conditions.

   • ✓Tests capacity management logic
   • ✓Contains test cases for orders

   services/orders/tests/test_capacity.py

   def test_capacity_logic():
       # Test logic for capacity evaluation
       assert evaluate_capacity() == expected_result

4. ✓04

   Well-Tested Codebase

   The project employs a variety of tests across different services, including unit tests and integration tests, primarily using Python's pytest framework. Test files are located in the `tests` and `services/*/tests` directories.

   • !Tests implemented with pytest
   • ✓Contains multiple test files
5. 🚀05

   CI/CD Workflows in Place

   The project includes CI/CD workflows defined in GitHub Actions, with a focus on deployment and continuous integration. The workflows are located in the `.github/workflows` directory.

   • ✓Has a CI workflow defined
   • ✓Includes a deploy workflow
6. ▶06

   Try It Out

   To explore the project, you can clone the repository using the command below. There is no live demo available at this time.

   • !Clone the repository

   git clone https://github.com/shashankcm95/AADI

graph TD
    subgraph Clients
      C[Customer App<br/>React Native / iOS]
      A[Admin Portal<br/>React]
      W[Customer Web<br/>React]
    end

    subgraph AWS Cloud
      API[API Gateway]
      COG[Cognito Auth]
      
      subgraph Microservices
        O[Orders Service<br/>Python Lambda]
        U[Users Service<br/>Python Lambda]
        R[Restaurants Service<br/>Python Lambda]
        POS[POS Integration<br/>Python Lambda]
        S[Shared Layer<br/>Utilities]
      end
      
      subgraph Data Stores
        DDB[(DynamoDB Tables)]
      end
      
      subgraph Location Services
        LOC[AWS Location Service<br/>Geofencing]
        EB[EventBridge]
      end
    end
    
    C -->|Trigger Geofence| LOC
    LOC -->|Event| EB
    EB -->|Dispatch El