Technical Stack

This powerful GraphQL API is built on a robust technical stack that ensures both flexibility and performance. Below are the crucial components that power this project:

Framework Used

Built With

• Cloud Atlas – Database Service Provider
• Heroku – Platform Service Provider

Node.js Packages

• GraphQL
• Express
• Express GraphQL
• Mongoose

Usage

Prerequisites

• Node.js
• Chrome’s V8 Javascript Engine
• MongoDB – NoSQL Database

Installation Setup

Follow these steps to get your application up and running:

npm install --save

• Install all packages mentioned in the package.json file to get all dependencies of the project.
• Copy the .env.example file at the same location and save it as .env:

  cp .env.example .env

• Start the application (after starting MongoDB’s mongod):

  npm start

Linting

To maintain code quality, run the following commands:

• Lint the code:

  npm run lint

• Fix any linting issues:

  npm run fix

Importing Database

To import shows and episodes from sample data, use the following commands:

• Import shows:

  mongoimport -d database_name -c shows seeds/shows.json

• Import episodes:

  mongoimport -d database_name -c episodes seeds/episodes.json

API Reference

For a deeper understanding of the API’s capabilities, check out the documentation.

Troubleshooting

If you encounter issues during installation or while running the application, consider the following troubleshooting steps:

• Ensure that MongoDB is running before starting your application. Check if the mongod command is active.
• Double-check your environment variables in the .env file to ensure there are no typos.
• If you run into package installation errors, try removing the node_modules directory and the package-lock.json file, then re-run npm install.
• For persistent issues or more help, feel free to reach out through the GitHub Issues section.

For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.

License

This project is licensed under the Apache License. For more details, see the LICENSE file.

At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.