Worklog Extractor Features Phase 1

Worklog Extractor

Introduction:

The Worklog Extractor is a feature in Jira that allows users to extract worklog data from Jira and store it in a desired format. This feature is helpful for tracking employee productivity, analyzing team performance, or generating reports for clients. In this documentation, we will provide the steps to create a Worklog Extractor in Jira, along with the UI design and requirements.

UI Design and Requirements:

The Worklog Extractor in Jira has the following UI design and requirements:

1. Projects Field:
   The Projects field is a text input field where users can enter the project names. This field can also include a drop-down menu or autocomplete functionality to allow users to select from existing projects.

2. Users Field:
   The Users field is a text input field for users to enter the usernames or email addresses of team members associated with the projects. Again, you can include a drop-down menu or autocomplete functionality to facilitate user selection.

3. Date Range Field:
   The Date Range field allows users to specify the start and end dates for the time range they want to retrieve worklog data for. This can help users filter the data based on a specific date range.

4. Download Worklog Data Button:
   The Download button is a button labeled "Download" that users can click to initiate the download of worklog data based on the projects, users, and date range specified. This can trigger a backend process that generates a downloadable file in a preferred format, such as CSV or Excel.

5. Worklog Data Table:
   The Worklog Data Table is a table that displays the worklog data in a tabular format. The table has columns such as Project Name, User, Issue/Task, Time Spent, and Date. Each row in the table represents a worklog entry for a particular project, user, and issue/task. Sorting and filtering options are included to allow users to sort and filter the table data based on their needs.

6. Pagination:
   If the table contains a large amount of data, pagination is implemented to limit the number of rows displayed per page. Navigation buttons or a drop-down menu are included to allow users to navigate through different pages of the table and view the worklog data in a more organized manner.

Steps to Create a Worklog Extractor in Jira:

1. Connect to the Jira API:
   Connect to the Jira API using the requests library. This is done by sending a GET request to the Jira API endpoint.

2. Authenticate with Jira:
   Authenticate with Jira using your user credentials or an API token. This will allow you to access the worklog data.

3. Retrieve Issues with Worklogs:
   Retrieve a list of issues with worklogs from Jira using a JQL search. This is done by sending a GET request to the Jira API endpoint with the appropriate parameters.

4. Retrieve Worklogs for Each Issue:
   Loop through each issue and retrieve its worklogs using the Jira API. This is done by sending a GET request to the Jira API endpoint for each issue.

5. Parse and Store Worklog Data:
   Parse the worklog data and store it in a desired format. For example, you could store the data in a CSV file or a database.

6. End the Extraction Process:
   End the extraction process.

Conclusion:

The Worklog Extractor in Jira is a useful feature for tracking employee productivity, analyzing team performance, or generating reports for clients. By following the steps outlined in this documentation and using the UI design and requirements provided, you can create a Worklog Extractor in Jira that meets your needs.