Covers the whole system as it now runs: architecture (agent routing vs ATS
scoring), repo layout, clean-machine quick start incl. the fresh-DB enum
workaround, the backend scoring API surface with behavior guarantees, the
engine internals summary, QA status (28/28 audit, 23/23 integration), data
handling, and the honest gap/roadmap table.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Backend: GET /job/fetch (active job posts, job-board OR candidate viewers) and
/candidate/fetch now works unscoped for the cross-job pool. Frontend: apiClient
gains FormData support; new api/candidates.js with a shared snake->camel view
mapper; CvImport is a real upload->score flow (job selector, PDF multipart to
/candidate/score, per-file results, no more simulation); TalentPool and
Candidates render the persisted pool with job/skill/source/ATS filters; the ATS
modal shows the real critique and matched/missing skills; CandidateProfile
keeps only tabs the backend can back. Screens hide affordances with no backing
column instead of rendering placeholders (Inbox precedent).
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Embeds the tested bulk-ats engine (pip install -e ., app.services.*) rather
than duplicating it. New Candidates table (auto-migrated) persists one row per
CV per job, deduped on (job_id, content_sha256) so re-scores update in place.
CandidateScoring service extracts (pypdf off-loop), despaces, scores with
bounded concurrency + cache priming via llm_setup's shared client, and
isolates per-file failures as failed rows. Routes: /candidate/score (uploads),
/candidate/score_inbox (decoded attachments), /candidate/fetch,
/candidate/fetch_by_id. Complements the agent inbox-match flow: it routes,
this scores.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
ahmed.mujtaba
Talha Ahmed