HR-ATS-Portal

Commit Graph

Author	SHA1	Message	Date
Talha Ahmed	7e76fb7874	Find Talent: Apify spend tracking + responsive fixes - talent_runs.cost_usd records each run's actual charge (usageTotalUsd), accumulated across the broadened re-run ladder (migration 018). - GET /talent/account: live balance and cycle spend from Apify /users/me/limits (nulls when Apify is unreachable) plus the observed $/profile over recorded runs. - Header shows Balance / Spent / $-per-profile chips that refresh with every search; the run status line shows the last search's cost and the confirm dialog estimates from the live average. - Responsive: toolbar controls stack edge-to-edge and candidate card footers wrap instead of clipping their buttons on phones. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>	2026-08-31 17:29:10 +05:00
Talha Ahmed	cec3be73fb	Title tier of relevance_score accepts token containment Live case: the job titled "Generative Engineer" sourced a pool titled "Generative AI Engineer" -- the exact phrase never occurs in that title, so every genuine match fell through to the scattered 35 tier and the whole pool compressed into the 40s. A current title containing every job-title token now earns the full 55. The headline tier stays phrase-only so keyword-stuffed headlines still cap at the 35 tier. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>	2026-08-25 19:46:34 +05:00
Talha Ahmed	e1bd8526f3	Talent tab: LinkedIn sourcing per job via Apify New backend/talent/ module (runs + profiles tables, RBAC talent.* seed, frontend-polled run lifecycle) and frontend Talent screen: job + location pickers, paid-search confirm, big loader, ranked profile cards with match ring, profile detail modal, show-10-then-more, next-page re-search. Sourcing quality: current-title facet + skills-only keyword query, experience-range facet, thin-result broadening ladder, Utopia Brands/Deals current employees excluded actor-side and server-side, graded 0-100 relevance score (title phrase over keyword stuffing). Also narrows the overbroad __**.py gitignore rule to alembic versions; it was silently swallowing app/tests __init__.py files, the engine smoke script, and the new talent plugin tests. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>	2026-08-20 22:27:18 +05:00

Author

SHA1

Message

Date

Talha Ahmed

7e76fb7874

Find Talent: Apify spend tracking + responsive fixes

- talent_runs.cost_usd records each run's actual charge (usageTotalUsd),
  accumulated across the broadened re-run ladder (migration 018).
- GET /talent/account: live balance and cycle spend from Apify
  /users/me/limits (nulls when Apify is unreachable) plus the observed
  $/profile over recorded runs.
- Header shows Balance / Spent / $-per-profile chips that refresh with
  every search; the run status line shows the last search's cost and the
  confirm dialog estimates from the live average.
- Responsive: toolbar controls stack edge-to-edge and candidate card
  footers wrap instead of clipping their buttons on phones.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

2026-08-31 17:29:10 +05:00

Talha Ahmed

cec3be73fb

Title tier of relevance_score accepts token containment

Live case: the job titled "Generative Engineer" sourced a pool titled
"Generative AI Engineer" -- the exact phrase never occurs in that title,
so every genuine match fell through to the scattered 35 tier and the
whole pool compressed into the 40s. A current title containing every
job-title token now earns the full 55. The headline tier stays
phrase-only so keyword-stuffed headlines still cap at the 35 tier.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

2026-08-25 19:46:34 +05:00

Talha Ahmed

e1bd8526f3

Talent tab: LinkedIn sourcing per job via Apify

New backend/talent/ module (runs + profiles tables, RBAC talent.* seed,
frontend-polled run lifecycle) and frontend Talent screen: job + location
pickers, paid-search confirm, big loader, ranked profile cards with match
ring, profile detail modal, show-10-then-more, next-page re-search.

Sourcing quality: current-title facet + skills-only keyword query,
experience-range facet, thin-result broadening ladder, Utopia Brands/Deals
current employees excluded actor-side and server-side, graded 0-100
relevance score (title phrase over keyword stuffing).

Also narrows the overbroad **_**_**.py gitignore rule to alembic versions;
it was silently swallowing app/tests __init__.py files, the engine smoke
script, and the new talent plugin tests.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

2026-08-20 22:27:18 +05:00

3 Commits (8dcd262dc469d39fe4c3078a4890781df32406bc)