New EmailStatusClassifier scans a message subject/body for outcome
signals (interview invite, offer, rejection) and suggests a canonical
pipeline status. Priority-ordered so a rejection that mentions the prior
interview still classifies as Rejected. Deterministic - no AI - so it is
instant, reproducible, and safe.
- GET /api/jobapplications/{id}/status-suggestion reads the job's latest
inbound correspondence (incl. Gmail imports) and suggests a forward
status move, suppressed when already in/past that stage
- always human-confirmed via the existing PATCH .../status
- 7 classifier unit tests + 2 endpoint integration tests; backend green (133)
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Adds a MatchScoreCard at the top of the Candidate Fit tab that loads the
deterministic /match-score endpoint independently of the slow AI
narrative, so users see a reproducible score, matched/missing keyword
chips, and per-section coverage immediately.
- MatchScore types + cached, attachment-independent load effect
- graceful 'not enough signal' state
- EN/NB translations
- frontend panel test (matched/missing/section + degraded state)
- backend integration tests for GetMatchScore (happy path + missing CV)
- README endpoint reference
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Adds SalaryMin/SalaryMax/SalaryCurrency/SalaryPeriod alongside the
existing free-text Salary field (kept for back-compat and display).
- JobApplication model + idempotent column bridging for SQLite and MySQL
- Create/Update DTOs with NormalizeSalary (clamps negatives, swaps
inverted min/max, uppercases currency, whitelists period)
- JobApplicationDto exposes the fields; CSV export gains 4 columns
- UI: add/edit dialogs get min/max/currency/period inputs; job table
renders a formatted range via shared salary.ts formatter (falls back
to free-text when structured values are absent)
- EN/NB translations; backend + full frontend suites green
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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