mushtaq96 / test-node-travis

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

node-docker

Simple node and express docker This project is a simple Node.js web application that uses MongoDB for storage. It is designed to be run as a Docker container.

How to run

To run this application, you will need Docker installed on your machine. Once you have Docker installed, you can build the Docker image by running the following command in the project directory:

docker build -t myapp .

This will build a Docker image with the name myapp. Once the image has been built, you can run the application using the following command:

docker run -p 4000:4000 myapp

This will start the application and expose it on port 4000 of your machine. You can access the application by visiting http://localhost:4000 in your web browser.

Code explanation

The main code for the application is in the index.js file. This file sets up a simple Express server that listens on port 4000 and responds to requests with a JSON message.

The MongoClient is used to connect to a MongoDB database running on localhost:27017. Once the connection is established, the db object is used to interact with the database. In this case, the collection object is used to interact with the documents collection in the testDB database.

The main function is an async function that connects to the MongoDB database and returns a promise that resolves to the string "done.". This function is not currently used in the application, but it could be used for more complex initialization tasks.

Continuous Integration

This project includes a .travis.yml file that defines a build configuration for Travis CI. Travis CI is a Continuous Integration (CI) service that automatically builds and tests code changes.

The .travis.yml file specifies that the build should be run on a Docker image with Node.js pre-installed. The build script then builds a Docker image for the application and runs a test suite.

Continuous Integration tools like Travis CI are useful for personal projects because they help ensure that changes to the codebase don't introduce new bugs or regressions. By automatically building and testing changes, developers can catch issues early and fix them before they become bigger problems.

Comparison of Continuous Integration tools

Here's a comparison of three popular CI tools:

Tool GitHub Actions CircleCI Travis CI
Pricing Free for public repositories Free for limited usage, paid for more features Free for open source, paid for private repositories and additional features
Configuration YAML files in the repository YAML files in the repository YAML files in the repository
Scalability Built into GitHub, automatically scales Automatically scales Automatically scales
Integrations Integrated with GitHub Integrates with GitHub, Bitbucket, GitLab Integrates with GitHub, Bitbucket, GitLab, and more

In general, these tools provide similar functionality and are all good choices for personal projects. The choice of tool may depend on factors like the existing toolset used in the project or the specific needs of the project.

About


Languages

Language:JavaScript 72.6%Language:Dockerfile 27.4%