Codify

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Job tracking for posts, applications, contacts, interviews, and offers. Stay organized throughout your job hunt.

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# Overview and Goals

For many software engineers, the job hunting process can become overwhelming. Between low success rates, complicated interview processes, and employers that may not even respond, it is difficult to keep track of valuable data. We built Cōdify to solve this problem.

Cōdify is a PWA created to organize and analyze the job application process for software developers. It provides a centralized location to save job post URLs, contact information, job offers, application status, and much more.

# Deployed Application

You can visit the deployed demo site at [Codify.works](https://codify.works).

# Completed MVP

* Users have the option to login into our app using their LinkedIn, GitHub, or Google account.

* User can add a job that is saved to the database and will be tracked as the application process evolves.

* Individual jobs can be updated as the application process unfolds.

* Sleek and informative dashboard that gives the user an overview of the status of their applications. It also gives them a list of their most recent applications.

* User can access a list of all the jobs they have applied to.

# Active MVP

Features currently in production include:

* Dashboard 
    Includes a graphical overview of the users application statuses. Includes a list of the most recent jobs added by the user. 
* Job List 
    A complete historical list of all of the jobs saved by the user. 
* Add Job
    Allows user to add a new job to their list. 
* Individual job page 
    Gives the user the ability to add notes in regards to the job that they are applying to. The user can add contact information for someone working for the company, interview information, and offer updates. 
    
# Future Features

* Add jobs via URL (LinkedIn, Indeed, Glassdoor)
* Compare job hunt progress with other users
* Graph offer history on the Dashboard
* Compare commute times and locations
* Save resume version submitted to each application 
* Receive recommendations for interview preparation
* Export interview events to calendar

# Developed by

* Noah Miller - [Portfolio](https://millernj.github.io/portfolio/) | [GitHub](https://github.com/millernj)
* Eric Heikkinen - [Portfolio](https://ericheikkinen.com/) | [GitHub](https://github.com/yankidank)
* Elliot Fouts - [Portfolio](https://elliotfouts.github.io/portfolio-2/) | [GitHub](https://github.com/elliotfouts)
* Ana Valdivia - [Portfolio](http://www.anavaldivia.com/) | [GitHub](https://github.com/anabee)

# How to Use
## Setup 
`npm run install` install node_modules

`npm run seed` seed the database

## Configure

### OAuth
To authenticate users, you will need to create, configure, and set OAuth API keys for GitHub, Google, and LinkedIn. Each service has its own callback URL that needs to be set from the appropriate API settings pages. These URLs can be set as either HTTP or HTTPS. Below are the callback URLs (don't forget to include your domain at the start).

`/auth/github/callback`

`/auth/google/callback`

`/auth/linkedin/callback`

### .env File
The dotenv npm package allows us to store private settings in a `.env` file that sits in the root directory of the application. Create the .env file and add the following lines, inserting your own API keys. Uncomment and edit necessary lines for production use on a domain.

```
// NODE_ENV = "production"
DOMAIN = "http://localhost"
CALLBACK_DOMAIN = "http://localhost:3001"
// PORT = "3001"
// FRONTEND_PORT = "3000"
PUPPETEER_PORT = "4000"
COOKIE_KEY = ""
MONGODB_URI = "mongodb://localhost/codify"
GOOGLE_CLIENT_ID = ".apps.googleusercontent.com"
GOOGLE_CLIENT_SECRET = ""
GITHUB_CLIENT_ID = ""
GITHUB_CLIENT_SECRET = ""
LINKEDIN_CLIENT_ID = ""
LINKEDIN_CLIENT_SECRET = ""
```

## Serve
`npm run start`

`npm run start:prod`

`npm run client`

`npm run build` create a production build in the client directory

`npm run deploy` build and serve server.js using PM2

`npm run heroku-postbuild` create a build after deploying to heroku

`npm run lint` analyze source code for errors

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