This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact [email protected] with any additional questions or comments.
To set up and run the application, please follow the procedures outlined in the following subsections:
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Clone the repository to your local machine:
git clone https://github.com/Microsoft/MentalHealthPlatform.git
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Download and install Node.js onto your development machine from https://nodejs.org/.
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Check whether the installation of Node was successful by running the following command; a version number should be printed:
node -v
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Download and install Yarn on your development machine from https://yarnpkg.com/lang/en/docs/install/.
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Similar to that of the installation of Node.js, check whether the installation of Yarn was successful by running the following command; a version number should be printed:
yarn -v
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Download and install MongoDB from the MongoDB website:
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If using a Windows machine, one may need to add mongo to the environment variables. The instructions regarding the addition of environment variables can be found in the Microsoft Docs article for installing and configuring MongoDB:
https://docs.microsoft.com/en-us/azure/virtual-machines/windows/install-mongodb
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Create a directory to store the data.
mkdir <path>
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Set the path for storing the data:
mongod --dbpath /data/<path>
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Run the service using the following command:
brew services start [email protected]
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After installing MongoDB, launch the MongoDB terminal by using the following command:
mongo
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To add sample data, enter the commands listed in the "docs/database_ commands.txt" file of this repository
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In the cloned project, navigate to the server directory:
cd server
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Install the dependencies:
yarn
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Run the server:
yarn start
The console should then print a statement about the server running on a certain port:
Server is running on Port 3000...
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In the cloned project, navigate to the client directory:
cd client
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Install all dependencies:
yarn
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Run the client:
yarn start
The console should then print a statement with a URL in which the application is running.
For example:
Project is running at http://localhost:8080/
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Launch the application in a web browser by navigating to the URL printed by the console