Session timeout modal test timings

[sricharan-varanasi]

📝 Description

🔗 Jira Ticket M2-#

Changes include:

• [Thing]
• [Other thing]
• [More things]

📸 Screenshots

Before (Optional)	After

🪤 Peer Testing

✏️ Notes

✅ Checklist

Functionality

• The feature behaves correctly in practice and fulfills the intended business purpose
• The implementation accounts for edge cases, avoids subtle logical errors, and handles somewhat rare failure states (e.g. offline mode for mobile, 3rd party being down, etc)

Testing

• Verify there are automated tests added that meaningfully cover critical behavior and failure cases
• Code coverage does not go down as result of this change
• Test suite passes

Security & Data Privacy

• Verify there is no chance we would accidentally log PII to application logs
• Verify this addition does not materially affect our security attack surface, and if so it has undergone security review
• All inputs are sanitized
• New dependencies are well maintained, have significant justification for being added to the project, and are documented in the Curious open source credit page

Logging/Monitoring

• Logging is implemented for this change such that you could troubleshoot this feature in production
• The change/feature is able to be monitored in production

Performance

• This change does not introduce n+1 queries or other performance issues within our expected scale (e.g. missing indexes on frequently queried columns, frequently updating tables that are accessed often)

Readability

• All commented out code is removed
• Debugging code including extraneous log lines are removed
• Code is easy to understand through naming and structure; comments explain intent or non‑obvious decisions

Change Safety

• Backend changes are backwards compatible with old clients, or it is well known they are not and a deployment/rollout plan is in place. This include backend changes being compatible with old mobile app versions, as well as applet versioning within Curious.
• Destructive database migrations are rolled out in stages. For example, renaming a column means adding a new column and migrating the existing data to that columns in one deployment. Then monitoring to ensure that field isn’t used, and finally removing that old column in a separate deployment.

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