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/
26 lines
1.2 KiB
Python
26 lines
1.2 KiB
Python
"""A2 — curator: tolerant JSON parse, contract mapping, and the disabled→None safety net.
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(Offline — the live Opus call is exercised in the cached e2e verification.)"""
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from app.engine import curate as C
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def test_parse_json_strips_fences_and_prose():
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assert C._parse_json('```json\n{"kept":[]}\n```') == {"kept": []}
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assert C._parse_json('here: {"kept":[{"id":"1"}]} thanks')["kept"][0]["id"] == "1"
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def test_to_match_builds_full_contract():
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m = C._to_match({
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"id": "1", "score": 78, "fit": "fit", "archetype": "The Fit", "one_line": "strong but a gap",
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"breakdown": [{"name": "Skill match", "score": 80, "level": "Strong", "note": "real SQL"}],
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"coach_note": "lead with X", "growth": {"text": "close Y", "from": 78, "to": 85},
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})
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d = m.as_dict()
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assert d["score"] == 78 and d["archetype"] == "The Fit" and d["fit"] == "fit"
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assert d["breakdown"][0]["note"] == "real SQL" and d["coach_note"] == "lead with X"
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assert d["growth"]["from"] == 78 and d["growth"]["to"] == 85 and d["proofReady"] is True
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def test_curate_disabled_returns_none(monkeypatch):
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monkeypatch.setattr(C, "curate_enabled", lambda: False)
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assert C.curate({"title": "PM"}, None, [{"id": "1", "title": "PM"}]) is None
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