verint-home-assignment

• Assginment description
  • Step 1
  • Step 2
  • Guidelines
• Prerequisites
• Jenkins Pipeline

Assginment description

Step 1 (Python or Bash):

Write a python script named "forcast_collector" that will collect the hourly temperature from the following site:
https://weather.com/weather/hourbyhour/l/ISXX0026:1:IS
And save the table data in a json file named "forcast_data.json.
Json Structure:

{
    "time": {
        "DESC": "Rain|Showers",
        "TEMP": "Temperature",
        "FEEL": "Temperature",
        " PRECIP": "% precip",
        "HUMIDITY": "% humidity",
        "WIND" : "Wind description"
    }
}

Example:

{
    "12:00 AM": {
        "DESC": "Rain ",
        "TEMP": "14",
        "FEEL": "12",
        " PRECIP": "70%",
        "HUMIDITY": "90% ",
        "WIND" : "SSE 8 km/h"
    }
}

Step 2:

Create MD5Sum file for the script

Upload the script & the MD5 into Github.

Write Jenkins pipeline job with Jenkinsfile that will perform the following:

• Checkout the Github repository.
• Stage 1: Verify the MD5 against the script file.
• Stage 2: execute the script.
• Stage 3: Validate "temperature_data.json" structure (make sure the json structure is OK).

Guidelines:

• The script should work on ubuntu servers.

• Write clean code

• Comments are welcome.

• In case a special package is required add a comment with the following information:

  • Name of the package.
  • What the package does.
  • Which command was used to install the package?

  Adding pip requirements file will be nice

• Once the code is ready send us a link to the GitHub repository.

Prerequisites

The following packages needs to be installed:

pandas

OR you can use the requirements.txt file instead

pip install -r requirements.txt

The pandas package is a powerful Python data analysis toolkit. In our script we use it to extract data from the forecast website in a tabular format.

Jenkins Pipeline

In this repo there is a Jenkinsfile which can be used into a jenkins server in order to fulfill Step 2

In adition to what was required in step 2 the pipeline also do the following:

• use the hash.md5 file to validate the requirements.txt (in adition to the script validation)
• installs the python package requirements (pip install -r requirements.txt)