Being able to automatically filter out applications from unqualified applicants can save busy hiring managers a lot of time. They only need to spend time looking at applicants who meet their minimum qualifications. Why waste time reading through delivery driver applications from people who don’t have a vehicle if you require drivers to use their own vehicle?
Jobber determines whether a job application meets a set of minimum qualifications:
- The job application will be a list of questions, each of which has a question id and an answer.
- The qualifications will be a list of question ids, each associated with a list of acceptable answers.
- If an applicant fails to answer any one of these questions with an acceptable answer, their application should be rejected. Otherwise the application should be accepted.
- The employer should be able to view only the accepted applications.
Additionally:
- Accepted applications must have all questions answered correctly.
- Accepted applications must be shown to the employer.
- Unaccepted applications must not be shown to the employer.
Jobber achieves the above by providing an API that:
Accepting a list of questions with an acceptable answer for each question:
[
{
id: "id1",
question: "string",
answer: "string"
},
{
id: "id2",
question: "string",
answer: "string"
},
...
]
Receives job applications where each application is a JSON document conforming to this design:
{
Name: "string",
Questions: [
{
id: "id10",
answer: "string"
},
{
id: "id20",
answer: "string"
},
...
]
}
Upon receiving the job application Jobber decides to either accept or reject each application.
Jobber has been tested with the following:
- Docker >= 1.13
- Docker Compose >= 1.8.0
Jobber is fully dockerized and consists of two containers: 1) an API-only backend, and 2) a Flask web application front-end. To build and run the containers do the following:
git clone git@github.com:rdempsey/jobber.git
cd jobber
docker-compose up --build -d
If need be you can edit the provided docker-compose file to change the ports.
Open a web browser to http://localhost:5000
to reach the Jobber dashboard. In addition, the API documentation is available at http://localhost:8080/1.0/ui/