feat(flags): finer grained concurrency control

[haacked]

Problem

fine-grained-concurrency-demo.mp4

Follow up to: #29268

#29268 introduces concurrency controls to feature flag editing. If another user saves a change, any change, while you're editing, we block your save from stomping over their changes.

However, the implementation to do that was very broad. For example, if two people change different fields, it would block. It would block even if a user made no changes, but clicked the save button as we'd save it and increment the version (perhaps we should fix that too, but I leave it as an exercise for the reader).

Changes

Now, when we detect a possible conflict, we look deeper and compare what fields have changed. If the current save attempts to overwrite any fields that have changed while they were editing, we block the save. If there are no conflicts, for example, the current user changes the description while another user changed the filters, then we allow the save to go through.

CAVEAT: This PR doesn't do anything fancy in regards to filters. So if one user edits the variants, while another edits the conditions, we will block because they get saved to the same filters JSON blob. I think this is satisfactory for now.

Does this work well for both Cloud and self-hosted?

Yes

How did you test this code?

Manual testing and also unit tests. See the demo video.

[greptile-apps]

PR Summary

This PR implements finer-grained concurrency control for feature flags, allowing simultaneous edits to different fields without conflicts.

• Added _get_conflicting_changes method in feature_flag.py that compares specific fields between original flag and current database state
• Modified update process to only block saves when the same fields were changed by different users
• Added originalFeatureFlag reducer in featureFlagLogic.ts to track the initial state for accurate conflict detection
• Added cleanFlag helper function to remove metadata fields before comparison
• Added comprehensive test cases in test_feature_flag.py to verify concurrent edits to different fields succeed

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