Files
matchmaking-v2/tests/test_sift.py
raulgupta eb6ded5b3d Engine Phase 2: fix the pre-Opus funnel (lifts ALL matches)
The sift was feeding Opus a magnitude-blind, under-trusted, truncated shortlist — only 68% of the
genuinely-best jobs reached the curator. Fixes:
- embed.py: embed the FULL description (was desc[:600]) + role_category + industry; richer profile
  text (current_role + experience summary + seniority). The best semantic signal, fed real content.
- sift.py: magnitude-preserving min-max fusion (was rank-position, which flattened cosine 0.95 vs
  0.72) and embedding-LED weights (W_VIBE 0.6 / W_WHITEBOX 0.4). Embed runs FIRST so the white-box
  f_semantic reuses the real cosine (threaded as job["_vibe_cosine"]) instead of token overlap.
- config.py: SIFT_TOP_K 18 → 28 (the gate was cutting good jobs before Opus).
- curate.py: richer Opus briefs — full responsibilities (was desc[:500]) + role_category/industry/
  seniority/pay, so even the shortlist is fully described.

Regression (120 pairs): sift membership recall 0.68 → 0.92, score MAE 24.7 → 18.4. 31 tests pass.
2026-06-25 15:50:14 +05:30

27 lines
1.4 KiB
Python

"""A1 — sift: magnitude-fusion math + graceful degradation when the vibe-engineer is unavailable.
(Offline — no network; the embedding path is exercised in the cached e2e verification.)"""
from app.engine import sift as S
def test_minmax_normalization():
# magnitude-preserving (min-max), NOT rank-position: a much-better score stays much better.
r = S._minmax({"a": 0.9, "b": 0.5, "c": 0.1})
assert r["a"] == 1.0 and r["c"] == 0.0 and abs(r["b"] - 0.5) < 1e-9
assert S._minmax({"x": 0.5}) == {"x": 1.0} # single item / no range → top
def test_sift_degrades_to_whitebox_when_no_vibe(monkeypatch):
monkeypatch.setattr(S._embed, "vibe_scores", lambda *a, **k: None) # embeddings unavailable
jobs = [{"id": str(i), "title": "Product Manager", "organization": "X",
"location_city": "New Delhi", "location_country": "India",
"details": {"description": "product manager roadmap"}} for i in range(30)]
prefs = {"title": "Product Manager", "location": ["New Delhi · India"]}
top, dbg = S.sift(prefs, None, jobs, k=18)
assert dbg["mode"] == "whitebox-only" and len(top) == 18
assert all("match" in j for j in top) # white-box match block rides along
def test_sift_empty_input():
top, dbg = S.sift({"title": "PM"}, None, [], k=18)
assert top == [] and dbg["mode"] == "empty"