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>
- New pure StageAnalytics.TimeInStage: median days jobs have spent in
each active pipeline stage (entry time from the last StatusChanged
event into that stage, else applied date). Closed/success stages
excluded since 'how long stuck' only applies to actionable stages.
- analytics-overview now derives the funnel from JobPipeline (includes
the previously-omitted Waiting stage, normalizes legacy spellings) and
returns TimeInStage.
- 4 unit tests; full backend suite green (124).
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
New JobPipeline: ordered canonical stages (Applied, Waiting, Interview,
Offer, Rejected, Ghosted) with category grouping and a Normalize() that
canonicalizes casing and known synonyms (Interviewing->Interview,
declined->Rejected, ...) while preserving unknown custom statuses.
- normalize status on every write path (Create/Update/PATCH status) so
the stored value stays canonical without destroying custom values
- GET /api/jobapplications/pipeline exposes the ordered stages so the UI
renders from one source instead of duplicated hardcoded lists
- 14 unit tests; full backend suite green (120)
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
New JobCvMatchService: a pure, AI-free keyword-coverage scorer that
returns a stable, reproducible 0-100 match score plus matched/missing
keyword lists and per-CV-section coverage. Unlike candidate-fit (AI
narrative), it makes no model calls, so results are instant and
identical for identical inputs - the Jobscan-style differentiator.
- GET /api/jobapplications/{id}/match-score
- keywords = curated SkillTagger tags (high weight) + salient posting
terms (title terms boosted); word-boundary matching avoids false hits
- section coverage shows where CV evidence is concentrated
- fix(SkillTagger): punctuation-tolerant C#/.NET patterns; the old \b
boundaries silently missed 'C#,' and '.NET,' everywhere they are used
- 7 unit tests on the pure scorer; full backend suite green (104)
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>
New DatabaseBackupHostedService + SqliteDatabaseBackupRunner:
- daily VACUUM INTO snapshot to <Data:Root>/backups (safe with WAL)
- catch-up backup at startup when none exists from the last 24h
- retention pruning (Backups:RetainCount, default 14)
- warns and stays idle on MySQL/MariaDB where external backups apply
Production previously had no automated database backup on Linux
(the /api/backup endpoint is Windows-DPAPI-only).
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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