feat: use scores or raw scores for report server processing (M2-7933)

[AlejandroCoronadoN]

📝 Description

🔗 Jira Ticket M2-7933

Changes include:

• Created new arguments inside ScoresAndReports class allowing FE to pass scoring_type: str & subscale_name: str
• Modified create_report arguments and add activity_id to retrieve activity information including subscale_subsetting and report_and_scores
• Validation functions for unexistent Subscale on lookup_score and unlinked subscale
• Applied new logic on create_report function and passing subscale_table_data and scoring_type to Report Server to process new scores.

🪤 Peer Testing

• Create a new applet
• Create at least one activity.
• Configure Subscale for an activity
• Configure Report for activity
• In the Score and Reports config window add a server using the Report Server setup README.md
• Set up Repoer Server locally or use the dev public key to test the feature.
• Once the ReportServer in running, open the admin app and click on the Activity -> Select a User -> Click in "Download Latest Report"
• Use VSCode debugger to test create_report function - mindlogger-backend-refactor/src/apps/answers/service.py

✏️ Notes

• Lookup_scores is not currently suported by the FE (scoring_type and subscale_name are never passed to the back end). You will need to include these variable by hand or using the API.

Example: scores_and_report

{"reports": [{"id": "sumScore_score_local_report_server", "name": "Score LOCAL - Report Server", "type": "score", "message": "Score LOCAL - Report Server", "items_print": [], "items_score": ["item-0", "item-1"], "calculation_type": "sum", "conditional_logic": []}], "scoring_type": "lookup_scores", "subscale_name": "Subscae A0 - Report Server", "generate_report": true, "show_score_summary": true}

Example: subscale_setting

{"subscales": [{"name": "Subscae A0 - Report Server", "items": [{"name": "item-0", "type": "item"}, {"name": "item-1", "type": "item"}], "scoring": "sum", "subscale_table_data": [{"age": 15, "sex": "M", "score": "10", "severity": null, "raw_score": "1", "optional_text": "https://gist.githubusercontent.com/benbalter/3914310/raw/f757a33411082da23f0ad4a124b45fcdacc1b43f/Example--text.txt"}, {"age": 15, "sex": "M", "score": "20", "severity": null, "raw_score": "2", "optional_text": "https://gist.githubusercontent.com/benbalter/3914310/raw/f757a33411082da23f0ad4a124b45fcdacc1b43f/Example--text.txt"}, {"age": 15, "sex": "M", "score": "30", "severity": null, "raw_score": "3", "optional_text": "Markdown Text Here"}, {"age": 15, "sex": "F", "score": "40", "severity": null, "raw_score": "4", "optional_text": "Good"}, {"age": 15, "sex": null, "score": "50", "severity": null, "raw_score": "5", "optional_text": ""}]}], "calculate_total_score": null, "total_scores_table_data": null}

[github-actions]

➡️ Preview environment failed to be destroyed

[github-actions]

❌ E2E tests failed

[sultanofcardio]

A few changes to the implementation will get us over the line. Now that ChildMindInstitute/mindlogger-admin#1935 is complete you can take a look at the data it submits (as well as the various test cases in the PR description) for a more concrete picture

[sultanofcardio]

A couple things I missed yesterday

[sultanofcardio]

Still some tests to fix but these changes should get us the correct functionality

[sultanofcardio]

Pre-approving pending fixing of the tests