feat(alert/reports): adding logic to handle downstream reports when tab is deleted from dashboard

[fisjac]

SUMMARY

Adding logic to handle the deletion of tabs when a report or alert is related to that dashboard. Upon deletion, if there is a related report or alert, that report will be set as inactive, and an email will be generated and sent to the report owner.

BEFORE/AFTER SCREENSHOTS OR ANIMATED GIF

TESTING INSTRUCTIONS

Create a dashboard with a tab in it.
Create a new alert of report with the tab selected under the content section.
Save the report.
Go back to the dashboard, remove the tab, and save.
Return to the newly created report. Status should be inactive
Check the email of the owner. It should have received an email notifying the owner of the change.

ADDITIONAL INFORMATION

• Has associated issue:
• Required feature flags: [ALERT_REPORTS=True, ALERT_REPORT_TABS=True]
• Changes UI
• Includes DB Migration (follow approval process in SIP-59)
  • Migration is atomic, supports rollback & is backwards-compatible
  • Confirm DB migration upgrade and downgrade tested
  • Runtime estimates and downtime expectations provided
• Introduces new feature or API
• Removes existing feature or API

[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 70.56%. Comparing base (76d897e) to head (7e4c272).
Report is 624 commits behind head on master.

Additional details and impacted files

@@             Coverage Diff             @@
##           master   #29333       +/-   ##
===========================================
+ Coverage   60.48%   70.56%   +10.07%     
===========================================
  Files        1931     1973       +42     
  Lines       76236    79308     +3072     
  Branches     8568     9039      +471     
===========================================
+ Hits        46114    55962     +9848     
+ Misses      28017    21128     -6889     
- Partials     2105     2218      +113     

Flag	Coverage Δ
hive	48.92% <21.05%> (-0.24%)	⬇️
javascript	58.39% <ø> (+0.68%)	⬆️
mysql	76.69% <100.00%> (?)
postgres	76.76% <100.00%> (?)
presto	53.47% <21.05%> (-0.34%)	⬇️
python	83.66% <100.00%> (+20.17%)	⬆️
sqlite	76.25% <100.00%> (?)
unit	60.27% <21.05%> (+2.64%)	⬆️

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