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Merge pull request #63 from microsoft/PSL-US-13131
feat: added dev container
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.devcontainer/devcontainer.json

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{
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"name": "Multi Agent Custom Automation Engine Solution Accelerator",
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"image": "mcr.microsoft.com/devcontainers/python:3.10",
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"features": {
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"ghcr.io/devcontainers/features/azure-cli:1.0.8": {},
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"ghcr.io/azure/azure-dev/azd:latest": {},
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"ghcr.io/rchaganti/vsc-devcontainer-features/azurebicep:1.0.5": {}
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},
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"postCreateCommand": "sudo chmod +x .devcontainer/setupEnv.sh && ./.devcontainer/setupEnv.sh",
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"customizations": {
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"vscode": {
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"extensions": [
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"ms-azuretools.azure-dev",
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"ms-azuretools.vscode-bicep",
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"ms-python.python"
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]
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},
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"codespaces": {
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"openFiles": [
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"README.md"
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]
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}
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},
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"remoteUser": "vscode",
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"hostRequirements": {
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"memory": "8gb"
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}
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}

.devcontainer/setupEnv.sh

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#!/bin/bash
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pip install --upgrade pip
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(cd ./src/frontend; pip install -r requirements.txt)
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(cd ./src/backend; pip install -r requirements.txt)

documentation/LocalDeployment.md

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- Azure CLI, and an Azure Subscription
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- Visual Studio Code IDE
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# Local setup
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> **Note for macOS Developers**: If you are using macOS on Apple Silicon (ARM64) the DevContainer will **not** work. This is due to a limitation with the Azure Functions Core Tools (see [here](https://github.com/Azure/azure-functions-core-tools/issues/3112)). We recommend using the [Non DevContainer Setup](./NON_DEVCONTAINER_SETUP.md) instructions to run the accelerator locally.
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The easiest way to run this accelerator is in a VS Code Dev Containers, which will open the project in your local VS Code using the [Dev Containers extension](https://marketplace.visualstudio.com/items?itemName=ms-vscode-remote.remote-containers):
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1. Start Docker Desktop (install it if not already installed)
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1. Open the project:
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[![Open in Dev Containers](https://img.shields.io/static/v1?style=for-the-badge&label=Dev%20Containers&message=Open&color=blue&logo=visualstudiocode)](https://vscode.dev/redirect?url=vscode://ms-vscode-remote.remote-containers/cloneInVolume?url=https://github.com/microsoft/Multi-Agent-Custom-Automation-Engine-Solution-Accelerator)
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1. In the VS Code window that opens, once the project files show up (this may take several minutes), open a terminal window
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## Detailed Development Container setup instructions
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The solution contains a [development container](https://code.visualstudio.com/docs/remote/containers) with all the required tooling to develop and deploy the accelerator. To deploy the Chat With Your Data accelerator using the provided development container you will also need:
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* [Visual Studio Code](https://code.visualstudio.com)
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* [Remote containers extension for Visual Studio Code](https://marketplace.visualstudio.com/items?itemName=ms-vscode-remote.remote-containers)
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If you are running this on Windows, we recommend you clone this repository in [WSL](https://code.visualstudio.com/docs/remote/wsl)
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```cmd
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git clone https://github.com/microsoft/Multi-Agent-Custom-Automation-Engine-Solution-Accelerator
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```
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Open the cloned repository in Visual Studio Code and connect to the development container.
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```cmd
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code .
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```
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!!! tip
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Visual Studio Code should recognize the available development container and ask you to open the folder using it. For additional details on connecting to remote containers, please see the [Open an existing folder in a container](https://code.visualstudio.com/docs/remote/containers#_quick-start-open-an-existing-folder-in-a-container) quickstart.
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When you start the development container for the first time, the container will be built. This usually takes a few minutes. **Please use the development container for all further steps.**
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The files for the dev container are located in `/.devcontainer/` folder.
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## Local deployment and debugging:
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1. **Clone the repository.**
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**Using a Different Database in Cosmos:**
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You can set the solution up to use a different database in Cosmos. For example, you can name it something like autogen-dev. To do this:
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1. Change the environment variable **COSMOSDB_DATABASE** to the new database name.
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2. You will need to create the database in the Cosmos DB account. You can do this from the Data Explorer pane in the portal, click on the drop down labeled “_+ New Container_” and provide all the necessary details.
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1. Change the environment variable **COSMOSDB_DATABASE** to the new database name.
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2. You will need to create the database in the Cosmos DB account. You can do this from the Data Explorer pane in the portal, click on the drop down labeled “_+ New Container_” and provide all the necessary details.
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6. **Create a `.env` file:**
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