Requirements

For this codebase to run properly, the followings are required:

1. Google Gemini AI API key
2. Google Cloud Platform Credential file

Install .NET 8

https://dotnet.microsoft.com/en-us/download/dotnet/8.0

Install Entity Framework Core tools reference - .NET Core CLI

https://learn.microsoft.com/en-us/ef/core/cli/dotnet

dotnet tool install --global dotnet-ef

Install PostgreSQL

Direct install: https://www.postgresql.org/download/

or

Using Docker: https://hub.docker.com/_/postgres/

Setup PostgreSQL and update the connection string in appsettings.Development.json accordingly:

appsettings.Development.json

    ...
    "ConnectionStrings": {
		"Default": "Server=127.0.0.1;Port=5432;Database=app-bootstrap;User Id=postgres;Password=admin123;"
	},
    ...

Get codebase

git clone https://github.com/AnNguyenLe/LearningMate.git

Create Google's Gemini Flask API Key

1. Go to Google AI Studio.
2. Log in with your Google account.
3. Create an API key.
4. Add Gemini API key to appsettings.Development.json

    "GeminiFlashOptions": {
		"BaseUrl": "https://generativelanguage.googleapis.com/v1beta/models/gemini-1.5-flash:generateContent",
		"ApiKey": "your-gemini-flash-api-key-here"
	},

Create Google Cloud Platform credential file

1. Go to: https://console.cloud.google.com

(Reference: Learn how to get API Key for GCP TTS)

2. Store and get file path to GCP Crendential on local machine

3. Paste file path into appsettings.Development.json

    "GoogleCreadentialOptions": {
		"FilePath": "your-json-google-credential-file-path-here"
	}

Database Design Migration

From root folder LearningMate (Terminal view):

Step 1:

LearningMate % cd src/LearningMate.Infrastructure

Step 2:

LearningMate.Infrastructure % dotnet ef database update --startup-project ../LearningMate.WebAPI

Start this project as an backend server

From root folder LearningMate (Terminal view):

Step 1:

LearningMate % cd src/LearningMate.WebAPI

Step 2:

LearningMate.WebAPI % dotnet build

Step 3:

LearningMate.WebAPI % dotnet watch