UDSM DHIS2 Lab Interview 2022

Question 1

DHI2 Club is a club that aims at providing avenue for students to have opportunity to explore different technologies centered around DHIS2 platform. Since its start, number of members have been registered and active ones identified. Registration and activeness data are to be regularly entered by club’s chairman as aggregate number in the system. The regularity of data entry is being measured by reporting rate metrics and the higher the metrics the better result

In order to measure the effectiveness of the club over 3 years, data for 3 years as shown in table below have to be compared given some criterions and final results can be produced as;

yearOneData

[
  {
    "value": 10,
    "name": "Number of members registered",
    "code": "MEMBER_REGISTERED",
    "reportingRate": "10"
  },
  {
    "value": 9,
    "name": "Number of active members",
    "code": "ACTIVE_MEMBERS",
    "reportingRate": "50"
  }
]

yearTwoData

[
  {
    "value": 30,
    "name": "Number of members registered",
    "code": "MEMBER_REGISTERED",
    "reportingRate": "70"
  },
  {
    "value": 25,
    "name": "Number of active members",
    "code": "ACTIVE_MEMBERS",
    "reportingRate": "90"
  }
]

yearThreeData

[
  {
    "value": 56,
    "name": "Number of members registered",
    "code": "MEMBER_REGISTERED",
    "reportingRate": "70"
  },
  {
    "value": 43,
    "name": "Number of active members",
    "code": "ACTIVE_MEMBERS",
    "reportingRate": "20"
  }
]

Criterias

Data with Reporting rate greater or equal to 50% (>=50) will be taken for final procesing
In order to arrive to final output, average of data items that meet reporting date criteria should be taken as shown below;

Final Results (output)

[
  {
    "value": 43,
    "name": "Number of members registered",
    "code": "MEMBER_REGISTERED"
  },
  {
    "value": 17,
    "name": "Number of active members",
    "code": "ACTIVE_MEMBERS"
  }
]

Assignment

Develop a javascript/typescript script to process the provided inputs (yearOneData, yearTwoData, yearThreeData) and produce the above output. Your script should be test driven .i.e. You must use automated tests to verify your code. We have provided a boilerplate codebase with all necessary tools for this question, find the boilerplate code here

Running the script

clone the script from the repo git clone https://github.com/dhis2-club-tanzania/udsm-lab-interview-2022.git
Run npm install to install all necessary packages to run the script"
Run npm test to test your script
Submit your completed code into your own github account and shared the link as directed

NOTE: