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The banked PDF now lives IN the database (new cv_bank_files table,
manual migration 010, auto-applied at startup) instead of the container
filesystem, so production redeploys cannot lose a stored CV; upload
writes row + bytes in one commit and creates no disk file at all. New
GET /candidate/cv-bank/file serves the bytes for both download and the
in-app preview.
Per user request, banking a CV with a detectable email also creates or
reactivates the candidate account (same pattern as manual add, no setup
email), so banked people appear on the Candidates screen; a CV without
an email still banks fine, account-less. Existing bank rows were
backfilled locally.
E2E-verified: upload -> bank row + DB bytes + zero disk files, preview
and download served from the DB, candidate visible on the Candidates
screen.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Deploy to S3 / deploy (push) Successful in 36sDetails
Storing a CV without a job no longer rides the cv_upload pipeline, which
created a candidate user account and an inbox row — stored CVs were
leaking into the Candidates screen. New cv-bank endpoints instead write
apply_via=cv_bank rows in manual_upload_candidate (nullable user/job
FKs): file + parsed text only, no account, no inbox entry, no scoring,
and email is optional (captured when the CV contains one). The CV Import
screen now shows the bank itself below the dropzone — browse, download
(existing /documents/download route) and delete.
E2E-verified: uploads land as BANKED rows with user_id NULL, zero new
accounts or inbox rows, UI delete works, Candidates screen unchanged.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Deploy to S3 / deploy (push) Successful in 31sDetails
Production containers have ephemeral filesystems, so the disk-backed
image from the previous commit would vanish on redeploy. New
job_post_images table (bytea, PK = job_posts FK so re-upload replaces),
created everywhere by manual migration 009 which run_manual_sql applies
automatically at startup — prod boots with DB_AUTOGENERATE=false and
never autogenerates tables. Upload/fetch endpoints unchanged for the
frontend; fetch now serves bytes from the row. The one locally stored
disk image was imported into the table and backend/uploads removed.
E2E re-verified: create-with-image 200, fetch 200, cover renders.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Deploy to S3 / deploy (push) Successful in 32sDetails
The create modal collected an image but dropped it. Now POST
/job/image/upload stores it on disk keyed by the post id (uuid-validated,
5 MB / png-jpg-webp-gif, replace-on-reupload; no DB migration) and GET
/job/image/fetch serves it. The create flow uploads right after the row
exists, image failure downgrades to a toast instead of failing the create,
and Job Details renders the cover via an authorized blob fetch.
E2E-verified: upload 200, fetch 200, cover renders in Job Details.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Builds the four remaining analytics gaps from the architecture plan:
- Report library (REQ-ANL-03): new backend/reports module - saved reports
as parameterisations of the governed analytics queries (never free-form
SQL), rolling window_days filters, recorded runs, CSV export via
Content-Disposition. Reports screen gains the library card with
create/run/export/delete plus a results modal.
- Natural-language analytics (REQ-ANL-05, ADR-0010): POST /analytics/ask
maps a question onto one whitelisted intent, runs the same governed
query the dashboard uses, then narrates the numbers. Ask Analytics card
on the Analytics screen; LLM outages 503 without touching the charts.
- Time-to-hire baseline (REQ-ANL-08): KPIs surface tth_baseline_* from
org setting analytics.tth_baseline ({days,source}); not hardcoded
per OPEN-12. analytics added to org-settings categories. Reports TTH
card shows the delta when set.
- Source spend (REQ-ANL-09 cost side): hiring costs can be tagged with a
source channel; source performance returns tagged spend and
cost-per-application, including spend-only rows for channels with zero
applications (wasted spend must stay visible). Log-cost modal and
Source Performance table on Reports; untagged spend stays
cost-per-hire only.
Verified live: migration autogenerated and applied (saved_reports,
report_runs, hiring_costs.source_channel_id), 50 backend tests, vite
build + smoke/token/theme suites, and a headless-browser drive of both
screens end to end.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
- Adjusted `VITE_API_BASE` in Dockerfile and docker-compose.yml to allow same-origin requests, enhancing compatibility with nginx proxy settings.
- Increased the `top` query limit in `app.py` to 500 to accommodate frontend requirements while ensuring consistency across job fetching in `Jobs.jsx` and `Managers.jsx`.
- Updated nginx configuration to properly proxy API requests, preventing incorrect responses for job-related endpoints.
These changes streamline the interaction between the frontend and backend, ensuring a smoother user experience when fetching job data.
- Added a new `CandidateHistory` model to maintain an append-only audit log for candidate actions.
- Introduced `HistoryRecorder` functionality to log significant events across various modules, including interviews, feedback, and notes.
- Updated existing methods to include `current_user` for tracking who performed actions.
- Enhanced the `EMAIL_URL` configuration in `docker-compose.yml` to allow for environment variable overrides.
- Updated frontend components to support fetching and displaying candidate history.
This commit improves the application's ability to track changes and actions related to candidates, enhancing accountability and transparency.
- GET /jobs/export (jobs.export): styled .xlsx via openpyxl — branded
banner, dark-green frozen header with auto-filter, zebra rows, color-
coded status, bulleted requirements/nice-to-have, date formatting.
Honors the same filters as /jobs/fetch.
- Export button on the Jobs screen now downloads the file through the
authenticated downloadFile helper, carrying the active UI filters,
with an Exporting... busy state (was a fake success toast).
- openpyxl pinned in backend requirements.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Deploy to S3 / deploy (push) Successful in 33sDetails
- New POST /job/assist-field (job_board.create OR jobs.edit): per-field
AI fix/suggest via backend/job_assist package on the shared llm_call.
Suggest is gated on title + experience anchors; decisive typo repair;
provider failures return a generic 503.
- AiFieldAssist component: sparkle button per field with fix/suggest,
loading, preview-before-apply, abort on close; wired into JobForm and
EditJobForm with per-field suggest hints.
- Create Job no longer requires a Buffer channel: without channel_id or
platform the backend saves an internal-only requisition (platform
internal) and never calls Buffer; publishing stays on the Job Board.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
ahmed.mujtaba
Talha Ahmed