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https://github.com/pelithne/cngbg
https://github.com/pelithne/cngbg
Last synced: 27 days ago
JSON representation
- Host: GitHub
- URL: https://github.com/pelithne/cngbg
- Owner: pelithne
- License: mit
- Created: 2023-05-11T07:49:33.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2023-09-15T08:26:21.000Z (10 months ago)
- Last Synced: 2024-02-23T09:39:12.737Z (4 months ago)
- Language: C#
- Size: 381 KB
- Stars: 2
- Watchers: 2
- Forks: 4
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Lists
- awesome-semantickernel - This application is a demo on how to setup an event driven architecture combining Dapr, Azure OpenAI and Azure Container Apps
README
# cngbg
This application is a demo on how to setup an event driven architecture combining Dapr, Azure OpenAI and Azure Container Apps.
## Prerequisites
To run this application you need an **Approved Azure OpenAI Azure subscription** ([Azure Open AI](https://azure.microsoft.com/en-us/products/cognitive-services/openai-service/)) an and the following tools installed:
- [Docker](https://www.docker.com/products/docker-desktop) (for local development)
- [Dapr CLI](https://docs.dapr.io/getting-started/install-dapr-cli/) (for local development)
- [Azure CLI](https://docs.microsoft.com/en-us/cli/azure/install-azure-cli)
- [Azure Bicep](https://docs.microsoft.com/en-us/azure/azure-resource-manager/bicep/install)
- [.NET 7 SDK](https://dotnet.microsoft.com/download/dotnet/7.0)
## Local development
To run the application locally with Docker compose, you need to create a `.env` file in the root of the repository. This file should contain the following variables:
```bash
AZURE_OPENAI_API_MODEL="" # e.g. gpt-35-turbo
AZURE_OPENAI_API_ENDPOINT=""
AZURE_OPENAI_API_KEY=""
AZURE_COMMUNICATION_CONNECTION_STRING=""
AZURE_COMMUNICATION_FROM_ADDRESS=""
# for OpenTelemetry Collector (optional, needs to be enabled in the open telemetry collector config)
APPLICATION_INSIGHTS_INSTRUMENTATION_KEY=""
APPLICATION_INSIGHTS_INGESTION_ENDPOINT=""
# for OpenTelemetry Azure Exporter (optional)
APPLICATIONINSIGHTS_CONNECTION_STRING=""
```
Then you can run the application with the following command:
```bash
docker compose build
docker compose up
```
To clean up the resources created by Docker compose, run the following command:
```bash
docker compose down
```
## Deploy to Azure
Please refer to the [Hosting Infrastructure](infra/README.md) documentation for instructions on how to deploy the application to Azure.
## Building the container images in Azure
The container images are built with the following commands. The images are stored in the Azure Container Registry.
First set the environment variable for the Azure Container Registry name:
```powershell
$ENV:ACR="" # e.g. acr, the nameSuffix parameter from the deployment.
```
Then build the images with the following commands:
```powershell
push-location src
push-location dinner-api
az acr build -g rg-dinner-finder -r $ENV:ACR -t dinner/api:0.1 .
pop-location
push-location ai-processor
az acr build -g rg-dinner-finder -r $ENV:ACR -t dinner/ai-processor:0.1 .
pop-location
push-location frontend
az acr build -g rg-dinner-finder -r $ENV:ACR -t dinner/web-frontend:0.1 .
pop-location
push-location email-sender
az acr build -g rg-dinner-finder -r $ENV:ACR -t dinner/email-sender:0.1 .
pop-location
pop-location
```