b1e9cdd182
- A1: fire the hard filter (Apify is precise); embedding vibe-ranker (embed.py) blends with the floor-free white-box (rank.py) to sift ~90 -> top 18 - A2: Opus curator (curate.py) reads the 18 -> honest <=count + Gemini-voiced report cards; graceful fallback to the white-box + templated cards - LLM via opencode.ai/zen gateway (llm.py): Opus chat + direct-OpenAI embeddings - Run LLM work off the event loop (asyncio.to_thread) so the Redis response publishes - C1: dedicated Postgres (app/db/) persists the per-user feed; get_scout_feed replays it so matches survive navigation/refresh - match contract + report-card fields (schema.py); skills.py; tests/
25 lines
1010 B
Python
25 lines
1010 B
Python
"""Phase 1 — skill normalization + coverage-aware (floor-free) overlap."""
|
|
from app.engine import skills as S
|
|
|
|
|
|
def test_synonym_and_fold():
|
|
assert S.norm("React.js") == "react"
|
|
assert S.norm("K8s") == "kubernetes"
|
|
assert S.norm(" ML ") == "machine learning"
|
|
c = S.canon(["ML", "Python", "react.js"])
|
|
assert {"machine learning", "python", "react"} <= c
|
|
|
|
|
|
def test_overlap_is_floor_free():
|
|
assert S.overlap([], ["python"]) is None # empty user → absent (NOT 0 or 60)
|
|
assert S.overlap(["python"], []) is None # empty job → absent
|
|
o = S.overlap(["python", "sql", "django"], ["Python", "Django", "AWS"])
|
|
assert o is not None and 0.0 < o["score"] <= 1.0
|
|
assert "python" in o["matched"] and "amazon web services" in o["missing"]
|
|
|
|
|
|
def test_dims_levels():
|
|
rows = {r["name"]: r["level"] for r in S.dims(["product management"], ["Product Management", "SQL"], k=2)}
|
|
assert rows["Product Management"] == "Strong"
|
|
assert rows["Sql"] == "Light"
|