Extends the interview-prep persistence pattern (previous commit) to
the other two AI-generated per-job outputs that were re-running their
full AI call chain on every tab open: candidate-fit (4 AI calls) and
focus-plan (4 AI calls). Across all three tabs that's 9 AI calls fired
every single time a user revisits a job's AI workspace tabs.
Generalized into AiWorkspaceNote (OwnerUserId, JobApplicationId,
NoteType, ResultJson) rather than duplicating InterviewPrepNote's
per-field-column shape: CandidateFitDto and FocusPlanDto are irregular
and nested (up to 13 fields including a nested guidance object),
where per-field columns would be unreasonable. One table, keyed by
note type, serving both.
Same rules as interview prep: reuse across calls, regenerate when the
attachment selection changes, regenerate on explicit refresh. Frontend
gets the same "Regenerate" button on both tabs.
3 new tests (persist+reuse for both, refresh for candidate-fit).
Verified against the real dev DB.
cesnimda
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