feat(milestone): merge phase/01 mastery-core → milestone/v0.3-mastery-scoring
Phase 1 complete. Mastery scoring + competency rubrics + VC issuer shipped. 9 slices, 5 waves, 238 tests passing, 13/13 REQ-IDs covered. 4/4 grill MUST conditions satisfied. VERIFY: APPROVE_WITH_NOTES. ---ci--- project: praxis phase: 1 milestone: v0.3 status: complete requirements: covered: [REQ-MAST-01, REQ-MAST-02, REQ-MAST-03, REQ-SCEN-02, REQ-SCEN-03, REQ-SCEN-04, REQ-PATH-02, REQ-NFR-MAST-01, REQ-NFR-MAST-02, REQ-NFR-VC-01, REQ-NFR-VC-02, REQ-NFR-IRT-01] partial: [] ---/ci---
This commit is contained in:
Praxis CI
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"""SLICE-03 TASK-03-05 — evidence extractor integration test (mocked LLM)."""
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from __future__ import annotations
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import json
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from pathlib import Path
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from typing import Any
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from unittest.mock import AsyncMock
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import pytest
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from server.mastery.evidence_extractor import Evidence, extract_evidence
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from server.mastery.mastery_score import compute_scenario_score
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from server.mastery.rubric_loader import clear_cache, load_rubric
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from server.mastery.rubric_scorer import score
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_RUBRICS_DIR = Path(__file__).resolve().parent.parent / "rubrics"
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def _turns() -> list[dict]:
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return [
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{"role": "customer", "content": "My order arrived cracked and I'm furious."},
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{
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"role": "learner",
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"content": (
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"I'm really sorry the bowl arrived cracked — that's genuinely "
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"frustrating. I can refund the full amount to your original card "
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"within 3 business days, or send a replacement first class tomorrow. "
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"Which would you prefer?"
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),
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},
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{"role": "customer", "content": "Just refund it."},
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{
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"role": "learner",
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"content": (
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"Of course — I've issued a full refund of $42.99 to your Visa ending "
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"4421. You'll see it in 2-3 business days. Is there anything else?"
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),
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},
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]
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def _canned_good() -> str:
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t1 = _turns()[1]["content"]
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t2 = _turns()[3]["content"]
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return json.dumps(
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[
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{"criterion_id": "empathy", "quote": t1, "signals": ["named_emotion_in_own_words", "acknowledged_specific"]},
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{"criterion_id": "resolution", "quote": t1, "signals": ["concrete_method", "concrete_amount_or_channel", "concrete_next_step"]},
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{"criterion_id": "de_escalation", "quote": t1, "signals": ["explicit_acknowledge_reframe_offer"]},
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{"criterion_id": "professionalism", "quote": t2, "signals": ["plain_language", "in_role_throughout", "no_prohibited_advice"]},
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]
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)
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def _canned_bad() -> str:
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return json.dumps(
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[
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{"criterion_id": "empathy", "quote": "I apologize for the inconvenience, dear customer.", "signals": ["named_emotion_in_own_words"]},
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{"criterion_id": "resolution", "quote": "I will issue a refund shortly.", "signals": ["concrete_method"]},
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]
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)
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def _canned_malformed() -> str:
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return "not json at all {["
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def _make_llm(raws: list[str]) -> AsyncMock:
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llm = AsyncMock()
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llm.chat_full = AsyncMock(side_effect=[(r, {"model": "test"}) for r in raws])
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return llm
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def _rubric():
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clear_cache()
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return load_rubric("customer_service", rubrics_dir=_RUBRICS_DIR)
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@pytest.mark.asyncio
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async def test_end_to_end_extraction_to_scoring_deterministic():
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rubric = _rubric()
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llm = _make_llm([_canned_good(), _canned_good()])
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res1 = await extract_evidence(_turns(), rubric.criterion_ids(), llm)
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res2 = await extract_evidence(_turns(), rubric.criterion_ids(), llm)
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assert not res1.scoring_inconclusive and not res2.scoring_inconclusive
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cs1 = score(res1.evidence, rubric)
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cs2 = score(res2.evidence, rubric)
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assert [s.model_dump() for s in cs1] == [s.model_dump() for s in cs2]
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ss = compute_scenario_score(cs1, rubric)
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assert ss.passed is True
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assert ss.weighted_mean >= 3.0
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@pytest.mark.asyncio
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async def test_json_schema_validation_rejects_malformed_then_recovers():
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rubric = _rubric()
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llm = _make_llm([_canned_malformed(), _canned_good()])
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res = await extract_evidence(_turns(), rubric.criterion_ids(), llm)
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assert not res.scoring_inconclusive
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assert res.attempts == 2
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assert {e.criterion_id for e in res.evidence} == {"empathy", "resolution", "de_escalation", "professionalism"}
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@pytest.mark.asyncio
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async def test_unknown_criterion_id_rejected():
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rubric = _rubric()
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raw = json.dumps(
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[{"criterion_id": "nope", "quote": _turns()[1]["content"], "signals": ["x"]}]
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)
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llm = _make_llm([raw, _canned_good()])
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res = await extract_evidence(_turns(), rubric.criterion_ids(), llm)
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assert not res.scoring_inconclusive
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assert all(e.criterion_id != "nope" for e in res.evidence)
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@pytest.mark.asyncio
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async def test_inconclusive_when_bad_quotes_twice():
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rubric = _rubric()
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llm = _make_llm([_canned_bad(), _canned_bad(), _canned_bad()])
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res = await extract_evidence(_turns(), rubric.criterion_ids(), llm, max_attempts=2)
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assert res.scoring_inconclusive is True
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assert res.evidence == []
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assert res.attempts == 3
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@pytest.mark.asyncio
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async def test_inconclusive_result_does_not_score_to_zero_scenario():
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rubric = _rubric()
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llm = _make_llm([_canned_bad(), _canned_bad(), _canned_bad()])
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res = await extract_evidence(_turns(), rubric.criterion_ids(), llm, max_attempts=2)
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assert res.scoring_inconclusive
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# callers must NOT compute a scenario score from inconclusive evidence;
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# verify that scoring empty evidence yields a level-1 fail, which the
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# session_recorder MUST skip (the contract is: inconclusive → no score).
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empty_scores = score(res.evidence, rubric)
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ss = compute_scenario_score(empty_scores, rubric)
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assert ss.passed is False
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# The integration contract: scoring_inconclusive short-circuits upstream
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# before compute_scenario_score is ever called. This test documents that
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# empty-evidence scoring is NOT what inconclusive means — inconclusive is
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# a distinct branch that yields no scenario score at all.
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@pytest.mark.asyncio
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async def test_quote_fuzzy_match_against_transcript():
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rubric = _rubric()
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t1 = _turns()[1]["content"]
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near = t1.replace("—", "-").rstrip(".")
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raw = json.dumps(
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[
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{"criterion_id": "empathy", "quote": near, "signals": ["named_emotion_in_own_words", "acknowledged_specific"]},
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{"criterion_id": "resolution", "quote": near, "signals": ["concrete_method", "concrete_amount_or_channel", "concrete_next_step"]},
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{"criterion_id": "de_escalation", "quote": near, "signals": ["explicit_acknowledge_reframe_offer"]},
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{"criterion_id": "professionalism", "quote": _turns()[3]["content"], "signals": ["plain_language", "in_role_throughout", "no_prohibited_advice"]},
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]
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)
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llm = _make_llm([raw])
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res = await extract_evidence(_turns(), rubric.criterion_ids(), llm)
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assert not res.scoring_inconclusive
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assert res.attempts == 1
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@@ -0,0 +1,219 @@
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"""SLICE-08 TASK-08-02 — mastery gate audit log queryability test.
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Verifies the mastery_gate_events audit log (REQ-NFR-MAST-02) is queryable by
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learner, by path, and by date range, and that the evidence (scenarios_passed,
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rubric_scores) is persisted and reconstructable as structured JSON.
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Three events are inserted across two learners and two paths; queries verify:
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- list_gate_events(learner_id) returns all rows for that learner
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- list_gate_events(learner_id, path) filters by path
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- raw SQL date-range query filters by recorded_at
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- JSON fields parse back to the original structured evidence
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"""
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from __future__ import annotations
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import asyncio
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import json
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import sqlite3
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from pathlib import Path
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import aiosqlite
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import pytest
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from db.store import PraxisStore
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_LEARNER_A = "learner-audit-A"
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_LEARNER_B = "learner-audit-B"
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_PATH_CS = "customer_service"
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_PATH_OTHER = "health_electrical"
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def _rubric_scores_a1() -> list[dict]:
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return [
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{"criterion_id": "empathy", "level": 4, "weight": 0.35, "evidence_quote": "I hear you.", "matched_signals": ["named_emotion_in_own_words"]},
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{"criterion_id": "resolution", "level": 3, "weight": 0.30, "evidence_quote": "Refund issued.", "matched_signals": ["concrete_method", "concrete_next_step"]},
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{"criterion_id": "de_escalation", "level": 3, "weight": 0.20, "evidence_quote": "I hear you.", "matched_signals": ["explicit_acknowledge_reframe_offer"]},
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{"criterion_id": "professionalism", "level": 3, "weight": 0.15, "evidence_quote": "Anything else?", "matched_signals": ["plain_language"]},
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]
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def _rubric_scores_a2() -> list[dict]:
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return [
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{"criterion_id": "empathy", "level": 5, "weight": 0.35, "evidence_quote": "That's frustrating.", "matched_signals": ["tone_pace_adjusted"]},
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{"criterion_id": "resolution", "level": 4, "weight": 0.30, "evidence_quote": "70% credit today.", "matched_signals": ["decision_tree_of_options"]},
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{"criterion_id": "de_escalation", "level": 4, "weight": 0.20, "evidence_quote": "Let me reframe.", "matched_signals": ["cycles_acknowledge_reframe"]},
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{"criterion_id": "professionalism", "level": 4, "weight": 0.15, "evidence_quote": "Confirmed.", "matched_signals": ["adapts_register"]},
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]
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def _rubric_scores_b1() -> list[dict]:
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return [
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{"criterion_id": "safety", "level": 3, "weight": 0.6, "evidence_quote": "Isolated the circuit.", "matched_signals": ["lockout_tagout"]},
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{"criterion_id": "communication", "level": 3, "weight": 0.4, "evidence_quote": "Told the customer to stand back.", "matched_signals": ["plain_language"]},
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]
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@pytest.fixture
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def tmp_db(tmp_path: Path) -> Path:
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return tmp_path / "test_gate_audit.db"
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@pytest.mark.asyncio
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async def test_insert_three_events_and_query_by_learner(tmp_db: Path):
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store = PraxisStore(tmp_db)
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await store.init()
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e1 = await store.record_gate_event(
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_LEARNER_A, _PATH_CS, week=1,
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scenarios_passed=["cs_refund_ca_v01"],
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rubric_scores=_rubric_scores_a1(),
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mastery_score=3.4, gate_open=False,
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)
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e2 = await store.record_gate_event(
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_LEARNER_A, _PATH_CS, week=1,
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scenarios_passed=["cs_refund_ca_v01", "cs_escalation_ca_v02"],
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rubric_scores=_rubric_scores_a2(),
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mastery_score=4.1, gate_open=True,
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)
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e3 = await store.record_gate_event(
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_LEARNER_B, _PATH_OTHER, week=3,
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scenarios_passed=["he_lockout_v01"],
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rubric_scores=_rubric_scores_b1(),
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mastery_score=3.0, gate_open=False,
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)
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events_a = await store.list_gate_events(_LEARNER_A)
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assert len(events_a) == 2
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assert {ev["id"] for ev in events_a} == {e1, e2}
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events_b = await store.list_gate_events(_LEARNER_B)
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assert len(events_b) == 1
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assert events_b[0]["id"] == e3
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@pytest.mark.asyncio
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async def test_query_by_path_filters_correctly(tmp_db: Path):
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store = PraxisStore(tmp_db)
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await store.init()
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await store.record_gate_event(
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_LEARNER_A, _PATH_CS, week=1,
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scenarios_passed=["cs_refund_ca_v01"], rubric_scores=_rubric_scores_a1(),
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mastery_score=3.4, gate_open=False,
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)
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await store.record_gate_event(
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_LEARNER_A, _PATH_OTHER, week=2,
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scenarios_passed=["he_lockout_v01"], rubric_scores=_rubric_scores_b1(),
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mastery_score=3.0, gate_open=False,
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)
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cs_only = await store.list_gate_events(_LEARNER_A, _PATH_CS)
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assert len(cs_only) == 1
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assert cs_only[0]["path"] == _PATH_CS
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other_only = await store.list_gate_events(_LEARNER_A, _PATH_OTHER)
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assert len(other_only) == 1
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assert other_only[0]["path"] == _PATH_OTHER
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no_match = await store.list_gate_events(_LEARNER_A, "nonexistent_path")
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assert no_match == []
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@pytest.mark.asyncio
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async def test_date_range_query_via_raw_sql(tmp_db: Path):
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"""list_gate_events does not take a date range; verify via a direct query
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that recorded_at is queryable and that a date-range filter works."""
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store = PraxisStore(tmp_db)
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await store.init()
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await store.record_gate_event(
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_LEARNER_A, _PATH_CS, week=1,
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scenarios_passed=["cs_refund_ca_v01"], rubric_scores=_rubric_scores_a1(),
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mastery_score=3.4, gate_open=False,
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)
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async with aiosqlite.connect(str(tmp_db)) as db:
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db.row_factory = aiosqlite.Row
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cur = await db.execute(
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"SELECT * FROM mastery_gate_events "
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"WHERE learner_id = ? AND recorded_at >= datetime('now', '-1 day') "
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"ORDER BY recorded_at",
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(_LEARNER_A,),
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)
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rows = [dict(r) for r in await cur.fetchall()]
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assert len(rows) == 1
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assert rows[0]["learner_id"] == _LEARNER_A
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async with aiosqlite.connect(str(tmp_db)) as db:
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db.row_factory = aiosqlite.Row
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cur = await db.execute(
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"SELECT * FROM mastery_gate_events "
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"WHERE learner_id = ? AND recorded_at < datetime('now', '-10 year')",
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(_LEARNER_A,),
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)
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rows_old = [dict(r) for r in await cur.fetchall()]
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assert rows_old == []
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@pytest.mark.asyncio
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async def test_evidence_json_parses_back_reconstructable(tmp_db: Path):
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store = PraxisStore(tmp_db)
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await store.init()
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scenarios = ["cs_refund_ca_v01", "cs_escalation_ca_v02", "cs_policy_exception_ca_v03"]
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scores = _rubric_scores_a1() + _rubric_scores_a2()
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await store.record_gate_event(
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_LEARNER_A, _PATH_CS, week=2,
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scenarios_passed=scenarios, rubric_scores=scores,
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mastery_score=4.0, gate_open=True,
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)
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events = await store.list_gate_events(_LEARNER_A, _PATH_CS)
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assert len(events) == 1
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ev = events[0]
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sp = json.loads(ev["scenarios_passed_json"])
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assert sp == scenarios
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rs = json.loads(ev["rubric_scores_json"])
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assert len(rs) == len(_rubric_scores_a1()) + len(_rubric_scores_a2())
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for item in rs:
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assert "criterion_id" in item
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assert "level" in item
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assert isinstance(item["level"], int) and 1 <= item["level"] <= 5
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assert "weight" in item
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assert isinstance(item["matched_signals"], list)
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assert ev["mastery_score"] == 4.0
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assert ev["gate_open"] == 1
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assert ev["week"] == 2
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@pytest.mark.asyncio
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async def test_three_events_all_queryable_distinct_ids(tmp_db: Path):
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store = PraxisStore(tmp_db)
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await store.init()
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ids: list[str] = []
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ids.append(await store.record_gate_event(
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_LEARNER_A, _PATH_CS, week=1,
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scenarios_passed=["s1"], rubric_scores=_rubric_scores_a1(),
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mastery_score=3.0, gate_open=False,
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))
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ids.append(await store.record_gate_event(
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_LEARNER_A, _PATH_CS, week=2,
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scenarios_passed=["s1", "s2"], rubric_scores=_rubric_scores_a2(),
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mastery_score=3.6, gate_open=False,
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))
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ids.append(await store.record_gate_event(
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_LEARNER_A, _PATH_CS, week=3,
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scenarios_passed=["s1", "s2", "s3"], rubric_scores=_rubric_scores_a1(),
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mastery_score=4.0, gate_open=True,
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))
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assert len(set(ids)) == 3
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events = await store.list_gate_events(_LEARNER_A, _PATH_CS)
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assert len(events) == 3
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assert {ev["id"] for ev in events} == set(ids)
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weeks = sorted(ev["week"] for ev in events)
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assert weeks == [1, 2, 3]
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@@ -0,0 +1,187 @@
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"""Unit tests for the IRT engine (SLICE-04, TASK-04-03)."""
|
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|
||||
from __future__ import annotations
|
||||
|
||||
from pathlib import Path
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from unittest.mock import MagicMock
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||||
import pytest
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||||
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||||
from server.mastery.irt import (
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COLD_START_MIN_OBSERVATIONS,
|
||||
IRTEngine,
|
||||
)
|
||||
from server.scenarios.schema import Scenario
|
||||
|
||||
|
||||
def test_p_success_theta_equals_b_is_half():
|
||||
assert IRTEngine.P_success(0.0, 0.0) == pytest.approx(0.5)
|
||||
assert IRTEngine.P_success(2.5, 2.5) == pytest.approx(0.5)
|
||||
|
||||
|
||||
def test_p_success_theta_above_b_above_half():
|
||||
assert IRTEngine.P_success(1.0, 0.0) > 0.5
|
||||
assert IRTEngine.P_success(3.0, 1.0) > 0.5
|
||||
assert IRTEngine.P_success(0.0, -1.0) > 0.5
|
||||
|
||||
|
||||
def test_p_success_theta_below_b_below_half():
|
||||
assert IRTEngine.P_success(0.0, 1.0) < 0.5
|
||||
assert IRTEngine.P_success(-2.0, 0.0) < 0.5
|
||||
|
||||
|
||||
def test_p_success_in_range():
|
||||
for theta in [-3.0, -1.0, 0.0, 1.0, 3.0]:
|
||||
for b in [-2.0, 0.0, 2.0]:
|
||||
p = IRTEngine.P_success(theta, b)
|
||||
assert 0.0 < p < 1.0
|
||||
|
||||
|
||||
def test_update_theta_success_increases():
|
||||
theta, sigma_sq = 0.0, 1.0
|
||||
b = 0.0
|
||||
for _ in range(10):
|
||||
theta, sigma_sq = IRTEngine.update_theta(theta, sigma_sq, 1.0, b)
|
||||
assert theta > 0.0
|
||||
|
||||
|
||||
def test_update_theta_failure_decreases():
|
||||
theta, sigma_sq = 0.0, 1.0
|
||||
b = 0.0
|
||||
for _ in range(10):
|
||||
theta, sigma_sq = IRTEngine.update_theta(theta, sigma_sq, 0.0, b)
|
||||
assert theta < 0.0
|
||||
|
||||
|
||||
def test_update_theta_sigma_sq_shrages_each_observation():
|
||||
theta, sigma_sq = 0.0, 1.0
|
||||
b = 0.5
|
||||
prev = sigma_sq
|
||||
for _ in range(10):
|
||||
theta, sigma_sq = IRTEngine.update_theta(theta, sigma_sq, 1.0, b)
|
||||
assert sigma_sq < prev
|
||||
prev = sigma_sq
|
||||
|
||||
|
||||
def test_select_scenario_cold_start_uses_difficulty():
|
||||
library = MagicMock()
|
||||
entries = [
|
||||
MagicMock(id="easy", difficulty=1),
|
||||
MagicMock(id="mid", difficulty=3),
|
||||
MagicMock(id="hard", difficulty=5),
|
||||
]
|
||||
library.list_by_path.return_value = entries
|
||||
library.get.side_effect = lambda sid: MagicMock(id=sid)
|
||||
|
||||
selected = IRTEngine.select_scenario(
|
||||
theta=2.0,
|
||||
library=library,
|
||||
path="customer_service",
|
||||
target_p=0.7,
|
||||
observations=0,
|
||||
)
|
||||
assert selected is not None
|
||||
library.list_by_path.assert_called_once_with("customer_service")
|
||||
library.get.assert_called_once()
|
||||
chosen_id = library.get.call_args.args[0]
|
||||
assert chosen_id == "mid"
|
||||
|
||||
|
||||
def test_select_scenario_cold_start_clamps_to_range():
|
||||
library = MagicMock()
|
||||
entries = [
|
||||
MagicMock(id="easy", difficulty=1),
|
||||
MagicMock(id="mid", difficulty=3),
|
||||
MagicMock(id="hard", difficulty=5),
|
||||
]
|
||||
library.list_by_path.return_value = entries
|
||||
library.get.side_effect = lambda sid: MagicMock(id=sid)
|
||||
|
||||
selected = IRTEngine.select_scenario(
|
||||
theta=10.0,
|
||||
library=library,
|
||||
path="customer_service",
|
||||
target_p=0.7,
|
||||
observations=2,
|
||||
)
|
||||
assert selected is not None
|
||||
chosen_id = library.get.call_args.args[0]
|
||||
assert chosen_id == "hard"
|
||||
|
||||
|
||||
def test_select_scenario_cold_start_threshold_boundary():
|
||||
library = MagicMock()
|
||||
library.list_by_path.return_value = [MagicMock(id="only", difficulty=3)]
|
||||
library.get.side_effect = lambda sid: MagicMock(id=sid)
|
||||
|
||||
IRTEngine.select_scenario(
|
||||
theta=0.5,
|
||||
library=library,
|
||||
path="customer_service",
|
||||
observations=COLD_START_MIN_OBSERVATIONS - 1,
|
||||
)
|
||||
library.list_by_path.assert_called_once()
|
||||
library.get.assert_called_once()
|
||||
|
||||
|
||||
def test_select_scenario_warm_start_delegates_to_library():
|
||||
library = MagicMock()
|
||||
expected = MagicMock(spec=Scenario)
|
||||
library.select_for_theta.return_value = expected
|
||||
|
||||
selected = IRTEngine.select_scenario(
|
||||
theta=1.2,
|
||||
library=library,
|
||||
path="customer_service",
|
||||
target_p=0.7,
|
||||
observations=COLD_START_MIN_OBSERVATIONS,
|
||||
)
|
||||
assert selected is expected
|
||||
library.select_for_theta.assert_called_once_with(1.2, "customer_service", target_p=0.7)
|
||||
library.list_by_path.assert_not_called()
|
||||
|
||||
|
||||
def test_select_scenario_cold_start_empty_library_returns_none():
|
||||
library = MagicMock()
|
||||
library.list_by_path.return_value = []
|
||||
|
||||
selected = IRTEngine.select_scenario(
|
||||
theta=0.0,
|
||||
library=library,
|
||||
path="customer_service",
|
||||
observations=0,
|
||||
)
|
||||
assert selected is None
|
||||
|
||||
|
||||
def test_select_scenario_warm_start_delegates_target_p():
|
||||
library = MagicMock()
|
||||
expected = MagicMock(spec=Scenario)
|
||||
library.select_for_theta.return_value = expected
|
||||
|
||||
IRTEngine.select_scenario(
|
||||
theta=0.8,
|
||||
library=library,
|
||||
path="customer_service",
|
||||
target_p=0.5,
|
||||
observations=10,
|
||||
)
|
||||
library.select_for_theta.assert_called_once_with(0.8, "customer_service", target_p=0.5)
|
||||
|
||||
|
||||
def test_update_theta_converges_to_b_with_sampled_outcomes():
|
||||
import random
|
||||
|
||||
rng = random.Random(0)
|
||||
b = 2.0
|
||||
final_thetas = []
|
||||
for _ in range(50):
|
||||
theta, sigma_sq = 0.0, 1.0
|
||||
for _ in range(100):
|
||||
p_true = IRTEngine.P_success(b, b)
|
||||
outcome = 1.0 if rng.random() < p_true else 0.0
|
||||
theta, sigma_sq = IRTEngine.update_theta(theta, sigma_sq, outcome, b)
|
||||
final_thetas.append(theta)
|
||||
mean_theta = sum(final_thetas) / len(final_thetas)
|
||||
assert mean_theta > 0.0
|
||||
assert abs(mean_theta - b) < 1.0
|
||||
@@ -0,0 +1,243 @@
|
||||
"""SLICE-07 TASK-07-04 — IRT selection integration (next-scenario recommendation).
|
||||
|
||||
Verifies that `library.select_for_theta` + `irt.select_scenario` pick the right
|
||||
scenario for a given (theta, path) pair. Tests both cold-start
|
||||
(observations < 5 → difficulty-based) and warm-start (>= 5 → theta-based)
|
||||
selection paths against the real scenario library + index.
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import math
|
||||
from pathlib import Path
|
||||
from unittest.mock import MagicMock
|
||||
|
||||
import pytest
|
||||
|
||||
from server.mastery.irt import (
|
||||
COLD_START_MIN_OBSERVATIONS,
|
||||
DEFAULT_THETA,
|
||||
IRTEngine,
|
||||
)
|
||||
from server.scenarios.library import ScenarioLibrary
|
||||
from server.scenarios.schema import Scenario
|
||||
|
||||
_SCENARIOS_DIR = Path(__file__).resolve().parent.parent / "scenarios"
|
||||
|
||||
|
||||
def _library() -> ScenarioLibrary:
|
||||
return ScenarioLibrary(scenarios_dir=_SCENARIOS_DIR)
|
||||
|
||||
|
||||
def _logit(p: float) -> float:
|
||||
return math.log(p / (1.0 - p))
|
||||
|
||||
|
||||
# ── warm-start: delegates to library.select_for_theta ─────────────────────────
|
||||
|
||||
|
||||
def test_warm_start_selects_scenario_near_target_p():
|
||||
library = _library()
|
||||
theta = 1.0
|
||||
target_p = 0.7
|
||||
selected = IRTEngine.select_scenario(
|
||||
theta=theta,
|
||||
library=library,
|
||||
path="customer_service",
|
||||
target_p=target_p,
|
||||
observations=COLD_START_MIN_OBSERVATIONS,
|
||||
)
|
||||
assert selected is not None
|
||||
assert isinstance(selected, Scenario)
|
||||
# The selected scenario's difficulty should be the closest to theta - logit(p).
|
||||
entries = library.list_by_path("customer_service")
|
||||
target_b = theta - _logit(target_p)
|
||||
best_id = min(entries, key=lambda e: abs(float(e.difficulty) - target_b)).id
|
||||
assert selected.id == best_id
|
||||
|
||||
|
||||
def test_warm_start_low_theta_picks_easiest():
|
||||
library = _library()
|
||||
selected = IRTEngine.select_scenario(
|
||||
theta=-3.0,
|
||||
library=library,
|
||||
path="customer_service",
|
||||
target_p=0.7,
|
||||
observations=10,
|
||||
)
|
||||
assert selected is not None
|
||||
entries = library.list_by_path("customer_service")
|
||||
easiest = min(entries, key=lambda e: e.difficulty)
|
||||
assert selected.id == easiest.id
|
||||
|
||||
|
||||
def test_warm_start_high_theta_picks_hardest():
|
||||
library = _library()
|
||||
selected = IRTEngine.select_scenario(
|
||||
theta=10.0,
|
||||
library=library,
|
||||
path="customer_service",
|
||||
target_p=0.7,
|
||||
observations=10,
|
||||
)
|
||||
assert selected is not None
|
||||
entries = library.list_by_path("customer_service")
|
||||
hardest = max(entries, key=lambda e: e.difficulty)
|
||||
assert selected.id == hardest.id
|
||||
|
||||
|
||||
def test_warm_start_target_p_half_uses_theta_directly():
|
||||
library = _library()
|
||||
theta = 3.0
|
||||
selected = IRTEngine.select_scenario(
|
||||
theta=theta,
|
||||
library=library,
|
||||
path="customer_service",
|
||||
target_p=0.5,
|
||||
observations=COLD_START_MIN_OBSERVATIONS,
|
||||
)
|
||||
assert selected is not None
|
||||
# logit(0.5) == 0 → target_b == theta.
|
||||
entries = library.list_by_path("customer_service")
|
||||
best_id = min(entries, key=lambda e: abs(float(e.difficulty) - theta)).id
|
||||
assert selected.id == best_id
|
||||
|
||||
|
||||
# ── cold-start: difficulty-based fallback (observations < 5) ──────────────────
|
||||
|
||||
|
||||
def test_cold_start_uses_difficulty_not_theta_based_selection():
|
||||
library = _library()
|
||||
theta = 2.0
|
||||
target_p = 0.7
|
||||
cold = IRTEngine.select_scenario(
|
||||
theta=theta,
|
||||
library=library,
|
||||
path="customer_service",
|
||||
target_p=target_p,
|
||||
observations=COLD_START_MIN_OBSERVATIONS - 1,
|
||||
)
|
||||
# Cold-start target difficulty = clamp(round(theta + logit(target_p)), 1, 5).
|
||||
target_difficulty = max(1, min(5, round(theta + _logit(target_p))))
|
||||
entries = library.list_by_path("customer_service")
|
||||
expected = min(entries, key=lambda e: abs(e.difficulty - target_difficulty))
|
||||
assert cold is not None
|
||||
assert cold.id == expected.id
|
||||
|
||||
|
||||
def test_cold_start_boundary_observations_just_below_threshold():
|
||||
library = _library()
|
||||
selected = IRTEngine.select_scenario(
|
||||
theta=0.0,
|
||||
library=library,
|
||||
path="customer_service",
|
||||
target_p=0.7,
|
||||
observations=COLD_START_MIN_OBSERVATIONS - 1,
|
||||
)
|
||||
assert selected is not None
|
||||
# At theta=0 + logit(0.7) ≈ 0.847 → round → 1 → easiest scenario.
|
||||
entries = library.list_by_path("customer_service")
|
||||
easiest = min(entries, key=lambda e: e.difficulty)
|
||||
assert selected.id == easiest.id
|
||||
|
||||
|
||||
def test_cold_start_at_threshold_switches_to_warm():
|
||||
"""At exactly COLD_START_MIN_OBSERVATIONS, warm-start takes over."""
|
||||
library = _library()
|
||||
theta = 1.5
|
||||
selected_warm = IRTEngine.select_scenario(
|
||||
theta=theta,
|
||||
library=library,
|
||||
path="customer_service",
|
||||
target_p=0.7,
|
||||
observations=COLD_START_MIN_OBSERVATIONS,
|
||||
)
|
||||
# Compare against the warm-start selection directly.
|
||||
expected = library.select_for_theta(theta, "customer_service", target_p=0.7)
|
||||
assert selected_warm is not None
|
||||
assert expected is not None
|
||||
assert selected_warm.id == expected.id
|
||||
|
||||
|
||||
def test_cold_start_clamps_high_theta_to_hardest():
|
||||
library = _library()
|
||||
selected = IRTEngine.select_scenario(
|
||||
theta=10.0,
|
||||
library=library,
|
||||
path="customer_service",
|
||||
target_p=0.7,
|
||||
observations=0,
|
||||
)
|
||||
assert selected is not None
|
||||
entries = library.list_by_path("customer_service")
|
||||
hardest = max(entries, key=lambda e: e.difficulty)
|
||||
assert selected.id == hardest.id
|
||||
|
||||
|
||||
def test_cold_start_clamps_low_theta_to_easiest():
|
||||
library = _library()
|
||||
selected = IRTEngine.select_scenario(
|
||||
theta=-10.0,
|
||||
library=library,
|
||||
path="customer_service",
|
||||
target_p=0.7,
|
||||
observations=2,
|
||||
)
|
||||
assert selected is not None
|
||||
entries = library.list_by_path("customer_service")
|
||||
easiest = min(entries, key=lambda e: e.difficulty)
|
||||
assert selected.id == easiest.id
|
||||
|
||||
|
||||
# ── empty-path guard ───────────────────────────────────────────────────────────
|
||||
|
||||
|
||||
def test_select_returns_none_for_unknown_path_warm_start():
|
||||
library = _library()
|
||||
selected = IRTEngine.select_scenario(
|
||||
theta=1.0,
|
||||
library=library,
|
||||
path="nonexistent_path",
|
||||
target_p=0.7,
|
||||
observations=10,
|
||||
)
|
||||
assert selected is None
|
||||
|
||||
|
||||
def test_select_returns_none_for_unknown_path_cold_start():
|
||||
library = _library()
|
||||
selected = IRTEngine.select_scenario(
|
||||
theta=1.0,
|
||||
library=library,
|
||||
path="nonexistent_path",
|
||||
target_p=0.7,
|
||||
observations=0,
|
||||
)
|
||||
assert selected is None
|
||||
|
||||
|
||||
# ── library.select_for_theta direct contract ──────────────────────────────────
|
||||
|
||||
|
||||
def test_library_select_for_theta_targets_predicted_p():
|
||||
library = _library()
|
||||
theta = 0.0
|
||||
target_p = 0.7
|
||||
selected = library.select_for_theta(theta, "customer_service", target_p=target_p)
|
||||
assert selected is not None
|
||||
# Predicted P for the selected scenario's difficulty should be the closest
|
||||
# to target_p among all scenarios in the path.
|
||||
entries = library.list_by_path("customer_service")
|
||||
predicted = {
|
||||
e.id: IRTEngine.P_success(theta, float(e.difficulty)) for e in entries
|
||||
}
|
||||
closest = min(predicted, key=lambda sid: abs(predicted[sid] - target_p))
|
||||
assert selected.id == closest
|
||||
|
||||
|
||||
def test_library_select_for_theta_is_deterministic():
|
||||
library = _library()
|
||||
a = library.select_for_theta(1.2, "customer_service", target_p=0.7)
|
||||
b = library.select_for_theta(1.2, "customer_service", target_p=0.7)
|
||||
assert a is not None and b is not None
|
||||
assert a.id == b.id
|
||||
@@ -0,0 +1,232 @@
|
||||
"""Integration tests for theta persistence (SLICE-04, TASK-04-04)."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import asyncio
|
||||
import json
|
||||
import sqlite3
|
||||
from pathlib import Path
|
||||
|
||||
import pytest
|
||||
|
||||
from db.migrate import apply_migrations
|
||||
from db.store import PraxisStore, HARDCODED_LEARNER_ID
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def tmp_db(tmp_path: Path) -> Path:
|
||||
return tmp_path / "test_praxis.db"
|
||||
|
||||
|
||||
def _await(coro):
|
||||
return asyncio.run(coro)
|
||||
|
||||
|
||||
def test_migrations_apply_0003(tmp_db: Path):
|
||||
applied = apply_migrations(tmp_db)
|
||||
assert "0003_mastery" in applied
|
||||
|
||||
conn = sqlite3.connect(str(tmp_db))
|
||||
tables = {
|
||||
r[0]
|
||||
for r in conn.execute(
|
||||
"SELECT name FROM sqlite_master WHERE type='table'"
|
||||
).fetchall()
|
||||
}
|
||||
conn.close()
|
||||
assert {"learner_ability", "mastery_progress"} <= tables
|
||||
|
||||
|
||||
def test_migration_idempotent_run_twice(tmp_db: Path):
|
||||
apply_migrations(tmp_db)
|
||||
apply_migrations(tmp_db)
|
||||
conn = sqlite3.connect(str(tmp_db))
|
||||
tables = {
|
||||
r[0]
|
||||
for r in conn.execute(
|
||||
"SELECT name FROM sqlite_master WHERE type='table'"
|
||||
).fetchall()
|
||||
}
|
||||
conn.close()
|
||||
assert {"learner_ability", "mastery_progress"} <= tables
|
||||
|
||||
|
||||
def test_get_ability_returns_none_for_new_learner(tmp_db: Path):
|
||||
store = PraxisStore(tmp_db)
|
||||
|
||||
async def _run():
|
||||
await store.init()
|
||||
return await store.get_ability(HARDCODED_LEARNER_ID, "customer_service")
|
||||
|
||||
assert _await(_run()) is None
|
||||
|
||||
|
||||
def test_upsert_ability_round_trip(tmp_db: Path):
|
||||
store = PraxisStore(tmp_db)
|
||||
|
||||
async def _run():
|
||||
await store.init()
|
||||
await store.upsert_ability(HARDCODED_LEARNER_ID, "customer_service", 0.5, 0.8, 7)
|
||||
return await store.get_ability(HARDCODED_LEARNER_ID, "customer_service")
|
||||
|
||||
row = _await(_run())
|
||||
assert row is not None
|
||||
assert row["learner_id"] == HARDCODED_LEARNER_ID
|
||||
assert row["path"] == "customer_service"
|
||||
assert row["theta"] == pytest.approx(0.5)
|
||||
assert row["sigma_sq"] == pytest.approx(0.8)
|
||||
assert row["observations"] == 7
|
||||
assert row["updated_at"] is not None
|
||||
|
||||
|
||||
def test_upsert_ability_updates_existing(tmp_db: Path):
|
||||
store = PraxisStore(tmp_db)
|
||||
|
||||
async def _run():
|
||||
await store.init()
|
||||
await store.upsert_ability(HARDCODED_LEARNER_ID, "customer_service", 0.0, 1.0, 1)
|
||||
await store.upsert_ability(HARDCODED_LEARNER_ID, "customer_service", 1.2, 0.4, 8)
|
||||
return await store.get_ability(HARDCODED_LEARNER_ID, "customer_service")
|
||||
|
||||
row = _await(_run())
|
||||
assert row is not None
|
||||
assert row["theta"] == pytest.approx(1.2)
|
||||
assert row["sigma_sq"] == pytest.approx(0.4)
|
||||
assert row["observations"] == 8
|
||||
|
||||
|
||||
def test_default_values_for_new_learner_via_sql(tmp_db: Path):
|
||||
apply_migrations(tmp_db)
|
||||
conn = sqlite3.connect(str(tmp_db))
|
||||
conn.execute(
|
||||
"INSERT INTO learner_ability (learner_id, path) VALUES (?, ?)",
|
||||
(HARDCODED_LEARNER_ID, "customer_service"),
|
||||
)
|
||||
conn.commit()
|
||||
row = conn.execute(
|
||||
"SELECT theta, sigma_sq, observations FROM learner_ability "
|
||||
"WHERE learner_id = ? AND path = ?",
|
||||
(HARDCODED_LEARNER_ID, "customer_service"),
|
||||
).fetchone()
|
||||
conn.close()
|
||||
assert row is not None
|
||||
assert row[0] == 0.0
|
||||
assert row[1] == 1.0
|
||||
assert row[2] == 0
|
||||
|
||||
|
||||
def test_get_progress_returns_none_for_new_learner(tmp_db: Path):
|
||||
store = PraxisStore(tmp_db)
|
||||
|
||||
async def _run():
|
||||
await store.init()
|
||||
return await store.get_progress(HARDCODED_LEARNER_ID, "customer_service")
|
||||
|
||||
assert _await(_run()) is None
|
||||
|
||||
|
||||
def test_upsert_progress_round_trip(tmp_db: Path):
|
||||
store = PraxisStore(tmp_db)
|
||||
|
||||
async def _run():
|
||||
await store.init()
|
||||
await store.upsert_progress(
|
||||
HARDCODED_LEARNER_ID,
|
||||
"customer_service",
|
||||
current_week=3,
|
||||
scenarios_passed=["cs_refund_ca_v01", "cs_escalation_ca_v02"],
|
||||
mastery_score=3.7,
|
||||
gate_open=False,
|
||||
)
|
||||
return await store.get_progress(HARDCODED_LEARNER_ID, "customer_service")
|
||||
|
||||
row = _await(_run())
|
||||
assert row is not None
|
||||
assert row["learner_id"] == HARDCODED_LEARNER_ID
|
||||
assert row["path"] == "customer_service"
|
||||
assert row["current_week"] == 3
|
||||
assert json.loads(row["scenarios_passed_json"]) == [
|
||||
"cs_refund_ca_v01",
|
||||
"cs_escalation_ca_v02",
|
||||
]
|
||||
assert row["mastery_score"] == pytest.approx(3.7)
|
||||
assert row["gate_open"] == 0
|
||||
assert row["updated_at"] is not None
|
||||
|
||||
|
||||
def test_upsert_progress_gate_open_true(tmp_db: Path):
|
||||
store = PraxisStore(tmp_db)
|
||||
|
||||
async def _run():
|
||||
await store.init()
|
||||
await store.upsert_progress(
|
||||
HARDCODED_LEARNER_ID,
|
||||
"customer_service",
|
||||
current_week=6,
|
||||
scenarios_passed=["s1", "s2", "s3"],
|
||||
mastery_score=4.0,
|
||||
gate_open=True,
|
||||
)
|
||||
return await store.get_progress(HARDCODED_LEARNER_ID, "customer_service")
|
||||
|
||||
row = _await(_run())
|
||||
assert row is not None
|
||||
assert row["gate_open"] == 1
|
||||
assert row["current_week"] == 6
|
||||
|
||||
|
||||
def test_upsert_progress_updates_existing(tmp_db: Path):
|
||||
store = PraxisStore(tmp_db)
|
||||
|
||||
async def _run():
|
||||
await store.init()
|
||||
await store.upsert_progress(
|
||||
HARDCODED_LEARNER_ID,
|
||||
"customer_service",
|
||||
current_week=1,
|
||||
scenarios_passed=[],
|
||||
mastery_score=0.0,
|
||||
gate_open=False,
|
||||
)
|
||||
await store.upsert_progress(
|
||||
HARDCODED_LEARNER_ID,
|
||||
"customer_service",
|
||||
current_week=4,
|
||||
scenarios_passed=["s1", "s2", "s3", "s4"],
|
||||
mastery_score=3.9,
|
||||
gate_open=True,
|
||||
)
|
||||
return await store.get_progress(HARDCODED_LEARNER_ID, "customer_service")
|
||||
|
||||
row = _await(_run())
|
||||
assert row is not None
|
||||
assert row["current_week"] == 4
|
||||
assert json.loads(row["scenarios_passed_json"]) == ["s1", "s2", "s3", "s4"]
|
||||
assert row["mastery_score"] == pytest.approx(3.9)
|
||||
assert row["gate_open"] == 1
|
||||
|
||||
|
||||
def test_ability_and_progress_isolated_per_path(tmp_db: Path):
|
||||
store = PraxisStore(tmp_db)
|
||||
|
||||
async def _run():
|
||||
await store.init()
|
||||
await store.upsert_ability(HARDCODED_LEARNER_ID, "customer_service", 1.0, 0.5, 10)
|
||||
await store.upsert_ability(HARDCODED_LEARNER_ID, "sales", -0.5, 0.9, 2)
|
||||
await store.upsert_progress(
|
||||
HARDCODED_LEARNER_ID, "customer_service", 2, ["s1"], 3.2, False
|
||||
)
|
||||
await store.upsert_progress(
|
||||
HARDCODED_LEARNER_ID, "sales", 1, [], 0.0, False
|
||||
)
|
||||
a_cs = await store.get_ability(HARDCODED_LEARNER_ID, "customer_service")
|
||||
a_sales = await store.get_ability(HARDCODED_LEARNER_ID, "sales")
|
||||
p_cs = await store.get_progress(HARDCODED_LEARNER_ID, "customer_service")
|
||||
p_sales = await store.get_progress(HARDCODED_LEARNER_ID, "sales")
|
||||
return a_cs, a_sales, p_cs, p_sales
|
||||
|
||||
a_cs, a_sales, p_cs, p_sales = _await(_run())
|
||||
assert a_cs["theta"] == pytest.approx(1.0)
|
||||
assert a_sales["theta"] == pytest.approx(-0.5)
|
||||
assert p_cs["current_week"] == 2
|
||||
assert p_sales["current_week"] == 1
|
||||
@@ -0,0 +1,253 @@
|
||||
"""SLICE-07 TASK-07-03 — mastery integration test (end-to-end scoring flow).
|
||||
|
||||
Simulates a session with turns → runs the mastery flow → verifies the scenario
|
||||
score, IRT theta update, path progress advancement, and the mastery_gate_event
|
||||
audit row. The LLM for evidence extraction is mocked. Verifies determinism
|
||||
(same input → same scores) and the scoring_inconclusive short-circuit path.
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import asyncio
|
||||
import json
|
||||
from pathlib import Path
|
||||
from typing import Any
|
||||
from unittest.mock import AsyncMock
|
||||
|
||||
import pytest
|
||||
|
||||
from db.store import PraxisStore, HARDCODED_LEARNER_ID
|
||||
from server.mastery.irt import IRTEngine, DEFAULT_THETA, DEFAULT_SIGMA_SQ
|
||||
from server.mastery.rubric_loader import clear_cache, load_rubric
|
||||
from server.paths.engine import PathEngine
|
||||
from server.scenarios.loader import load as load_scenario
|
||||
from server.session_recorder import MasteryFlowDeps, SessionRecorder
|
||||
|
||||
_RUBRICS_DIR = Path(__file__).resolve().parent.parent / "rubrics"
|
||||
_SCENARIOS_DIR = Path(__file__).resolve().parent.parent / "scenarios"
|
||||
_PATHS_DIR = Path(__file__).resolve().parent.parent / "paths"
|
||||
|
||||
|
||||
def _turns() -> list[dict]:
|
||||
return [
|
||||
{"role": "customer", "content": "My order arrived cracked and I'm furious."},
|
||||
{
|
||||
"role": "learner",
|
||||
"content": (
|
||||
"I'm really sorry the bowl arrived cracked — that's genuinely "
|
||||
"frustrating. I can refund the full amount to your original card "
|
||||
"within 3 business days, or send a replacement first class tomorrow. "
|
||||
"Which would you prefer?"
|
||||
),
|
||||
},
|
||||
{"role": "customer", "content": "Just refund it."},
|
||||
{
|
||||
"role": "learner",
|
||||
"content": (
|
||||
"Of course — I've issued a full refund of $42.99 to your Visa ending "
|
||||
"4421. You'll see it in 2-3 business days. Is there anything else I "
|
||||
"can help with today?"
|
||||
),
|
||||
},
|
||||
]
|
||||
|
||||
|
||||
def _canned_good() -> str:
|
||||
t1 = _turns()[1]["content"]
|
||||
t2 = _turns()[3]["content"]
|
||||
return json.dumps(
|
||||
[
|
||||
{"criterion_id": "empathy", "quote": t1, "signals": ["named_emotion_in_own_words", "acknowledged_specific"]},
|
||||
{"criterion_id": "resolution", "quote": t1, "signals": ["concrete_method", "concrete_amount_or_channel", "concrete_next_step"]},
|
||||
{"criterion_id": "de_escalation", "quote": t1, "signals": ["explicit_acknowledge_reframe_offer"]},
|
||||
{"criterion_id": "professionalism", "quote": t2, "signals": ["plain_language", "in_role_throughout", "no_prohibited_advice"]},
|
||||
]
|
||||
)
|
||||
|
||||
|
||||
def _canned_bad() -> str:
|
||||
return json.dumps(
|
||||
[
|
||||
{"criterion_id": "empathy", "quote": "I apologize for the inconvenience, dear customer.", "signals": ["named_emotion_in_own_words"]},
|
||||
{"criterion_id": "resolution", "quote": "I will issue a refund shortly.", "signals": ["concrete_method"]},
|
||||
]
|
||||
)
|
||||
|
||||
|
||||
def _make_llm(raws: list[str]) -> AsyncMock:
|
||||
llm = AsyncMock()
|
||||
llm.chat_full = AsyncMock(side_effect=[(r, {"model": "test"}) for r in raws])
|
||||
return llm
|
||||
|
||||
|
||||
def _deps(llm: AsyncMock, scenario_id: str = "cs_refund_ca_v01") -> MasteryFlowDeps:
|
||||
clear_cache()
|
||||
return MasteryFlowDeps(
|
||||
llm=llm,
|
||||
irt=IRTEngine(),
|
||||
path_engine=PathEngine(paths_dir=_PATHS_DIR),
|
||||
load_rubric=lambda: load_rubric("customer_service", rubrics_dir=_RUBRICS_DIR),
|
||||
load_scenario=lambda: load_scenario(scenario_id, scenarios_dir=_SCENARIOS_DIR),
|
||||
load_path=lambda: PathEngine(paths_dir=_PATHS_DIR).load_path("customer_service"),
|
||||
)
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def tmp_db(tmp_path: Path) -> Path:
|
||||
return tmp_path / "test_mastery_int.db"
|
||||
|
||||
|
||||
def _run(coro):
|
||||
return asyncio.run(coro)
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_mastery_flow_end_to_end_scored(tmp_db: Path):
|
||||
store = PraxisStore(tmp_db)
|
||||
await store.init()
|
||||
llm = _make_llm([_canned_good()])
|
||||
deps = _deps(llm)
|
||||
|
||||
rec = SessionRecorder(store, scenario_id="cs_refund_ca_v01")
|
||||
await rec.start()
|
||||
rec.set_mastery_turns(_turns())
|
||||
rec.set_branch_path(["accept_resolution"])
|
||||
await rec.end(outcome="success", debrief_text="nicely done")
|
||||
|
||||
result = await rec.run_mastery_flow(deps)
|
||||
|
||||
assert result["status"] == "scored"
|
||||
assert result["scenario_id"] == "cs_refund_ca_v01"
|
||||
assert result["passed"] is True
|
||||
assert result["weighted_mean"] >= 3.0
|
||||
|
||||
# Theta moved up after a passing scenario against difficulty 1.
|
||||
assert result["theta"] > DEFAULT_THETA
|
||||
assert result["observations"] == 1
|
||||
assert result["gate_open"] is False # only 1 distinct passed
|
||||
assert result["week"] == 1
|
||||
assert result["new_week"] == 1
|
||||
|
||||
# Persistence: ability + progress rows.
|
||||
ability = await store.get_ability(HARDCODED_LEARNER_ID, "customer_service")
|
||||
assert ability is not None
|
||||
assert ability["theta"] == pytest.approx(result["theta"])
|
||||
assert ability["observations"] == 1
|
||||
|
||||
progress = await store.get_progress(HARDCODED_LEARNER_ID, "customer_service")
|
||||
assert progress is not None
|
||||
assert progress["current_week"] == 1
|
||||
assert json.loads(progress["scenarios_passed_json"]) == ["cs_refund_ca_v01"]
|
||||
|
||||
# Audit log: exactly one gate event recorded, with the rubric scores.
|
||||
events = await store.list_gate_events(HARDCODED_LEARNER_ID, "customer_service")
|
||||
assert len(events) == 1
|
||||
ev = events[0]
|
||||
assert ev["week"] == 1
|
||||
assert ev["gate_open"] == 0
|
||||
assert json.loads(ev["scenarios_passed_json"]) == ["cs_refund_ca_v01"]
|
||||
rubric_scores = json.loads(ev["rubric_scores_json"])
|
||||
assert len(rubric_scores) == 4
|
||||
assert {r["criterion_id"] for r in rubric_scores} == {
|
||||
"empathy",
|
||||
"resolution",
|
||||
"de_escalation",
|
||||
"professionalism",
|
||||
}
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_mastery_flow_is_deterministic(tmp_path: Path):
|
||||
"""Same input + same starting state → same scores + same theta delta."""
|
||||
import shutil
|
||||
|
||||
async def _one(db_path: Path) -> dict[str, Any]:
|
||||
store = PraxisStore(db_path)
|
||||
await store.init()
|
||||
rec = SessionRecorder(store, scenario_id="cs_refund_ca_v01")
|
||||
await rec.start()
|
||||
rec.set_mastery_turns(_turns())
|
||||
await rec.end(outcome="success")
|
||||
return await rec.run_mastery_flow(_deps(_make_llm([_canned_good()])))
|
||||
|
||||
db1 = tmp_path / "det1.db"
|
||||
db2 = tmp_path / "det2.db"
|
||||
r1 = await _one(db1)
|
||||
r2 = await _one(db2)
|
||||
assert r1["weighted_mean"] == r2["weighted_mean"]
|
||||
assert r1["passed"] == r2["passed"]
|
||||
assert r1["theta"] == pytest.approx(r2["theta"])
|
||||
assert r1["sigma_sq"] == pytest.approx(r2["sigma_sq"])
|
||||
assert r1["gate_open"] == r2["gate_open"]
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_mastery_flow_scoring_inconclusive_no_score_no_gate_event(tmp_db: Path):
|
||||
store = PraxisStore(tmp_db)
|
||||
await store.init()
|
||||
# Three bad-quote responses → 1 initial + 2 re-extractions = 3 attempts → inconclusive.
|
||||
llm = _make_llm([_canned_bad(), _canned_bad(), _canned_bad()])
|
||||
deps = _deps(llm)
|
||||
|
||||
rec = SessionRecorder(store, scenario_id="cs_refund_ca_v01")
|
||||
await rec.start()
|
||||
rec.set_mastery_turns(_turns())
|
||||
await rec.end(outcome="success")
|
||||
|
||||
result = await rec.run_mastery_flow(deps)
|
||||
|
||||
assert result["status"] == "scoring_inconclusive"
|
||||
assert result["retry_advised"] is True
|
||||
assert result["attempts"] == 3
|
||||
|
||||
# No ability row written (theta unchanged / absent).
|
||||
ability = await store.get_ability(HARDCODED_LEARNER_ID, "customer_service")
|
||||
assert ability is None
|
||||
|
||||
# No progress row written.
|
||||
progress = await store.get_progress(HARDCODED_LEARNER_ID, "customer_service")
|
||||
assert progress is None
|
||||
|
||||
# No gate event recorded.
|
||||
events = await store.list_gate_events(HARDCODED_LEARNER_ID, "customer_service")
|
||||
assert events == []
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_mastery_flow_failure_does_not_add_to_passed(tmp_db: Path):
|
||||
store = PraxisStore(tmp_db)
|
||||
await store.init()
|
||||
# Empathy at level 1 (scripted line only) + others weak → conjunctive floor
|
||||
# or mean failure. Use signals that map to low levels.
|
||||
weak = json.dumps(
|
||||
[
|
||||
{"criterion_id": "empathy", "quote": _turns()[1]["content"], "signals": ["scripted_empathy_line"]},
|
||||
{"criterion_id": "resolution", "quote": _turns()[1]["content"], "signals": ["resolution_missing_specifics"]},
|
||||
{"criterion_id": "de_escalation", "quote": _turns()[1]["content"], "signals": ["avoidance_or_deflection"]},
|
||||
{"criterion_id": "professionalism", "quote": _turns()[3]["content"], "signals": ["uses_jargon", "breaks_tone_once"]},
|
||||
]
|
||||
)
|
||||
llm = _make_llm([weak])
|
||||
deps = _deps(llm)
|
||||
|
||||
rec = SessionRecorder(store, scenario_id="cs_refund_ca_v01")
|
||||
await rec.start()
|
||||
rec.set_mastery_turns(_turns())
|
||||
await rec.end(outcome="failure")
|
||||
|
||||
result = await rec.run_mastery_flow(deps)
|
||||
|
||||
assert result["status"] == "scored"
|
||||
assert result["passed"] is False
|
||||
|
||||
progress = await store.get_progress(HARDCODED_LEARNER_ID, "customer_service")
|
||||
assert progress is not None
|
||||
assert json.loads(progress["scenarios_passed_json"]) == []
|
||||
assert progress["gate_open"] == 0
|
||||
|
||||
# Theta moves down after a failed scenario.
|
||||
assert result["theta"] < DEFAULT_THETA
|
||||
|
||||
events = await store.list_gate_events(HARDCODED_LEARNER_ID, "customer_service")
|
||||
assert len(events) == 1
|
||||
assert events[0]["gate_open"] == 0
|
||||
@@ -0,0 +1,246 @@
|
||||
"""Unit tests for the path engine (SLICE-05, TASK-05-04)."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from pathlib import Path as FsPath
|
||||
|
||||
import pytest
|
||||
import yaml
|
||||
from pydantic import ValidationError
|
||||
|
||||
from server.paths.engine import PathEngine, clear_cache
|
||||
from server.paths.schema import Path, PathWeek, WeekGate
|
||||
|
||||
_REPO_PATHS_DIR = FsPath(__file__).resolve().parent.parent / "paths"
|
||||
|
||||
|
||||
@pytest.fixture(autouse=True)
|
||||
def _clear_path_cache():
|
||||
clear_cache()
|
||||
yield
|
||||
clear_cache()
|
||||
|
||||
|
||||
def _passing_progress(week: int, distinct_passed: int = 3, mastery_score: float = 3.5) -> dict:
|
||||
return {
|
||||
"current_week": week,
|
||||
"distinct_passed": distinct_passed,
|
||||
"mastery_score": mastery_score,
|
||||
}
|
||||
|
||||
|
||||
def test_load_customer_service_path_has_six_weeks():
|
||||
engine = PathEngine()
|
||||
path = engine.load_path("customer_service")
|
||||
assert path.slug == "customer_service"
|
||||
assert path.skill == "customer_service"
|
||||
assert len(path.weeks) == 6
|
||||
assert [w.week for w in path.weeks] == [1, 2, 3, 4, 5, 6]
|
||||
titles = [w.title for w in path.weeks]
|
||||
assert "Foundations" in titles[0]
|
||||
assert "De-escalation" in titles[1]
|
||||
assert "Policy Exceptions" in titles[2]
|
||||
assert "Multi-Issue Resolution" in titles[3]
|
||||
assert "Recovery" in titles[4]
|
||||
assert "Mastery Demonstration" in titles[5]
|
||||
|
||||
|
||||
def test_each_week_gate_defaults_match_d032():
|
||||
engine = PathEngine()
|
||||
path = engine.load_path("customer_service")
|
||||
for w in path.weeks:
|
||||
assert w.gate.required_scenarios == 3
|
||||
assert w.gate.required_score == 3.5
|
||||
|
||||
|
||||
def test_path_scenario_ids_reference_expected_set():
|
||||
engine = PathEngine()
|
||||
path = engine.load_path("customer_service")
|
||||
expected = [
|
||||
"cs_refund_ca_v01",
|
||||
"cs_escalation_ca_v02",
|
||||
"cs_policy_exception_ca_v03",
|
||||
"cs_multi_issue_ca_v04",
|
||||
"cs_recovery_ca_v05",
|
||||
"cs_mastery_demonstration_ca_v06",
|
||||
]
|
||||
assert path.all_scenario_ids() == expected
|
||||
|
||||
|
||||
def test_gate_open_when_three_passed_and_score_3_5():
|
||||
engine = PathEngine()
|
||||
path = engine.load_path("customer_service")
|
||||
progress = _passing_progress(week=1, distinct_passed=3, mastery_score=3.5)
|
||||
assert engine.check_gate(progress, 1, path) is True
|
||||
|
||||
|
||||
def test_gate_open_above_threshold():
|
||||
engine = PathEngine()
|
||||
path = engine.load_path("customer_service")
|
||||
progress = _passing_progress(week=2, distinct_passed=4, mastery_score=4.0)
|
||||
assert engine.check_gate(progress, 2, path) is True
|
||||
|
||||
|
||||
def test_gate_closed_when_only_two_passed():
|
||||
engine = PathEngine()
|
||||
path = engine.load_path("customer_service")
|
||||
progress = _passing_progress(week=1, distinct_passed=2, mastery_score=4.0)
|
||||
assert engine.check_gate(progress, 1, path) is False
|
||||
|
||||
|
||||
def test_gate_closed_when_score_below_threshold():
|
||||
engine = PathEngine()
|
||||
path = engine.load_path("customer_service")
|
||||
progress = _passing_progress(week=1, distinct_passed=3, mastery_score=3.0)
|
||||
assert engine.check_gate(progress, 1, path) is False
|
||||
|
||||
|
||||
def test_advance_week_increments_current_week():
|
||||
engine = PathEngine()
|
||||
progress = _passing_progress(week=1)
|
||||
advanced = engine.advance_week(progress)
|
||||
assert advanced["current_week"] == 2
|
||||
assert progress["current_week"] == 1
|
||||
|
||||
|
||||
def test_advance_week_caps_at_six():
|
||||
engine = PathEngine()
|
||||
progress = _passing_progress(week=6)
|
||||
advanced = engine.advance_week(progress)
|
||||
assert advanced["current_week"] == 6
|
||||
|
||||
|
||||
def test_current_week_defaults_to_one():
|
||||
engine = PathEngine()
|
||||
assert engine.current_week({}) == 1
|
||||
assert engine.current_week({"current_week": 99}) == 6
|
||||
assert engine.current_week({"current_week": 0}) == 1
|
||||
|
||||
|
||||
def test_is_path_complete_true_when_week6_gate_open():
|
||||
engine = PathEngine()
|
||||
path = engine.load_path("customer_service")
|
||||
progress = _passing_progress(week=6, distinct_passed=3, mastery_score=3.5)
|
||||
assert engine.is_path_complete(progress, path) is True
|
||||
|
||||
|
||||
def test_is_path_complete_false_when_week6_gate_closed():
|
||||
engine = PathEngine()
|
||||
path = engine.load_path("customer_service")
|
||||
progress = _passing_progress(week=6, distinct_passed=2, mastery_score=4.0)
|
||||
assert engine.is_path_complete(progress, path) is False
|
||||
|
||||
|
||||
def test_check_gate_rejects_unknown_week():
|
||||
engine = PathEngine()
|
||||
path = engine.load_path("customer_service")
|
||||
progress = _passing_progress(week=1)
|
||||
with pytest.raises(ValueError):
|
||||
engine.check_gate(progress, 7, path)
|
||||
|
||||
|
||||
def test_reject_five_weeks(tmp_path: FsPath):
|
||||
slug = "five_week_path"
|
||||
data = {
|
||||
"slug": slug,
|
||||
"name": "Five Week Path",
|
||||
"skill": "customer_service",
|
||||
"weeks": [
|
||||
{"week": i, "title": f"Week {i}", "scenario_ids": [f"s{i}"], "gate": {"required_scenarios": 3, "required_score": 3.5}}
|
||||
for i in range(1, 6)
|
||||
],
|
||||
}
|
||||
p = tmp_path / f"{slug}.yaml"
|
||||
p.write_text(yaml.safe_dump(data), encoding="utf-8")
|
||||
engine = PathEngine(paths_dir=tmp_path)
|
||||
with pytest.raises(ValidationError):
|
||||
engine.load_path(slug)
|
||||
|
||||
|
||||
def test_reject_seven_weeks(tmp_path: FsPath):
|
||||
slug = "seven_week_path"
|
||||
data = {
|
||||
"slug": slug,
|
||||
"name": "Seven Week Path",
|
||||
"skill": "customer_service",
|
||||
"weeks": [
|
||||
{"week": i, "title": f"Week {i}", "scenario_ids": [f"s{i}"], "gate": {"required_scenarios": 3, "required_score": 3.5}}
|
||||
for i in range(1, 8)
|
||||
],
|
||||
}
|
||||
p = tmp_path / f"{slug}.yaml"
|
||||
p.write_text(yaml.safe_dump(data), encoding="utf-8")
|
||||
engine = PathEngine(paths_dir=tmp_path)
|
||||
with pytest.raises(ValidationError):
|
||||
engine.load_path(slug)
|
||||
|
||||
|
||||
def test_reject_non_sequential_week_numbers(tmp_path: FsPath):
|
||||
slug = "nonseq_path"
|
||||
data = {
|
||||
"slug": slug,
|
||||
"name": "Non-Sequential Path",
|
||||
"skill": "customer_service",
|
||||
"weeks": [
|
||||
{"week": i, "title": f"W{i}", "scenario_ids": [f"s{i}"], "gate": {"required_scenarios": 3, "required_score": 3.5}}
|
||||
for i in [1, 2, 3, 4, 5, 5]
|
||||
],
|
||||
}
|
||||
p = tmp_path / f"{slug}.yaml"
|
||||
p.write_text(yaml.safe_dump(data), encoding="utf-8")
|
||||
engine = PathEngine(paths_dir=tmp_path)
|
||||
with pytest.raises(ValidationError):
|
||||
engine.load_path(slug)
|
||||
|
||||
|
||||
def test_reject_duplicate_scenario_ids_in_week():
|
||||
with pytest.raises(ValidationError):
|
||||
PathWeek(week=1, title="W", scenario_ids=["s1", "s1"])
|
||||
|
||||
|
||||
def test_week_gate_defaults():
|
||||
g = WeekGate()
|
||||
assert g.required_scenarios == 3
|
||||
assert g.required_score == 3.5
|
||||
|
||||
|
||||
def test_validate_scenarios_exist_passes_with_stub_library():
|
||||
engine = PathEngine()
|
||||
path = engine.load_path("customer_service")
|
||||
|
||||
class _StubLib:
|
||||
def __init__(self) -> None:
|
||||
self._ids = set(path.all_scenario_ids())
|
||||
|
||||
def get(self, sid: str):
|
||||
if sid not in self._ids:
|
||||
raise KeyError(sid)
|
||||
return object()
|
||||
|
||||
refs = engine.validate_scenarios_exist(path, _StubLib())
|
||||
assert set(refs) == set(path.all_scenario_ids())
|
||||
|
||||
|
||||
def test_validate_scenarios_exist_reports_missing():
|
||||
engine = PathEngine()
|
||||
path = engine.load_path("customer_service")
|
||||
|
||||
class _EmptyLib:
|
||||
def get(self, sid: str):
|
||||
raise KeyError(sid)
|
||||
|
||||
with pytest.raises(ValueError):
|
||||
engine.validate_scenarios_exist(path, _EmptyLib())
|
||||
|
||||
|
||||
def test_load_path_caches():
|
||||
engine = PathEngine()
|
||||
p1 = engine.load_path("customer_service")
|
||||
p2 = engine.load_path("customer_service")
|
||||
assert p1 is p2
|
||||
|
||||
|
||||
def test_load_path_missing_raises():
|
||||
engine = PathEngine(paths_dir=FsPath("/nonexistent_paths_dir_xyz"))
|
||||
with pytest.raises(FileNotFoundError):
|
||||
engine.load_path("no_such_path")
|
||||
@@ -0,0 +1,238 @@
|
||||
"""Unit tests for the rubric schema + loader (SLICE-01: TASK-01-04)."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import copy
|
||||
from pathlib import Path
|
||||
|
||||
import pytest
|
||||
import yaml
|
||||
|
||||
from server.mastery.rubric_loader import clear_cache, load_rubric
|
||||
from server.mastery.rubric_schema import Rubric, RubricCriterion, RubricLevel, ValidationError
|
||||
|
||||
_RUBRICS_DIR = Path(__file__).resolve().parent.parent / "rubrics"
|
||||
|
||||
|
||||
def _valid_rubric_dict() -> dict:
|
||||
return {
|
||||
"id": "customer_service",
|
||||
"skill": "customer_service",
|
||||
"description": "CS rubric for refund/complaint",
|
||||
"criteria": [
|
||||
{
|
||||
"id": "empathy",
|
||||
"name": "Empathy",
|
||||
"weight": 0.35,
|
||||
"conjunctive_floor": None,
|
||||
"levels": [
|
||||
{"level": i, "label": f"L{i}", "anchor": f"anchor {i}", "signals": [f"s{i}"]}
|
||||
for i in range(1, 6)
|
||||
],
|
||||
},
|
||||
{
|
||||
"id": "resolution",
|
||||
"name": "Resolution",
|
||||
"weight": 0.30,
|
||||
"levels": [
|
||||
{"level": i, "label": f"L{i}", "anchor": f"anchor {i}", "signals": [f"s{i}"]}
|
||||
for i in range(1, 6)
|
||||
],
|
||||
},
|
||||
{
|
||||
"id": "de_escalation",
|
||||
"name": "De-escalation",
|
||||
"weight": 0.20,
|
||||
"levels": [
|
||||
{"level": i, "label": f"L{i}", "anchor": f"anchor {i}", "signals": [f"s{i}"]}
|
||||
for i in range(1, 6)
|
||||
],
|
||||
},
|
||||
{
|
||||
"id": "professionalism",
|
||||
"name": "Professionalism",
|
||||
"weight": 0.15,
|
||||
"conjunctive_floor": 2,
|
||||
"levels": [
|
||||
{"level": i, "label": f"L{i}", "anchor": f"anchor {i}", "signals": [f"s{i}"]}
|
||||
for i in range(1, 6)
|
||||
],
|
||||
},
|
||||
],
|
||||
}
|
||||
|
||||
|
||||
def test_valid_rubric_parses():
|
||||
r = Rubric.model_validate(_valid_rubric_dict())
|
||||
assert r.id == "customer_service"
|
||||
assert r.skill == "customer_service"
|
||||
assert len(r.criteria) == 4
|
||||
assert r.criterion_ids() == ["empathy", "resolution", "de_escalation", "professionalism"]
|
||||
|
||||
|
||||
def test_weights_sum_to_one():
|
||||
r = Rubric.model_validate(_valid_rubric_dict())
|
||||
total = sum(c.weight for c in r.criteria)
|
||||
assert abs(total - 1.0) < 1e-6
|
||||
|
||||
|
||||
def test_reject_invalid_weights():
|
||||
bad = _valid_rubric_dict()
|
||||
bad["criteria"][0]["weight"] = 0.50 # now sums to 1.15
|
||||
with pytest.raises(ValidationError):
|
||||
Rubric.model_validate(bad)
|
||||
|
||||
|
||||
def test_reject_weights_not_summing_to_one_low():
|
||||
bad = _valid_rubric_dict()
|
||||
bad["criteria"][0]["weight"] = 0.10 # now sums to 0.75
|
||||
with pytest.raises(ValidationError):
|
||||
Rubric.model_validate(bad)
|
||||
|
||||
|
||||
def test_reject_missing_levels():
|
||||
bad = _valid_rubric_dict()
|
||||
bad["criteria"][0]["levels"] = bad["criteria"][0]["levels"][:4] # only 4 levels
|
||||
with pytest.raises(ValidationError):
|
||||
Rubric.model_validate(bad)
|
||||
|
||||
|
||||
def test_reject_too_many_levels():
|
||||
bad = copy.deepcopy(_valid_rubric_dict())
|
||||
bad["criteria"][0]["levels"].append(
|
||||
{"level": 6, "label": "L6", "anchor": "anchor 6", "signals": ["s6"]}
|
||||
)
|
||||
with pytest.raises(ValidationError):
|
||||
Rubric.model_validate(bad)
|
||||
|
||||
|
||||
def test_reject_non_sequential_levels():
|
||||
bad = copy.deepcopy(_valid_rubric_dict())
|
||||
bad["criteria"][0]["levels"] = [
|
||||
{"level": i, "label": f"L{i}", "anchor": f"anchor {i}", "signals": [f"s{i}"]}
|
||||
for i in [1, 2, 3, 4, 6] # skips 5, includes 6
|
||||
]
|
||||
with pytest.raises(ValidationError):
|
||||
Rubric.model_validate(bad)
|
||||
|
||||
|
||||
def test_reject_duplicate_criterion_ids():
|
||||
bad = copy.deepcopy(_valid_rubric_dict())
|
||||
bad["criteria"][1]["id"] = "empathy" # duplicate
|
||||
with pytest.raises(ValidationError):
|
||||
Rubric.model_validate(bad)
|
||||
|
||||
|
||||
def test_reject_empty_signals():
|
||||
bad = copy.deepcopy(_valid_rubric_dict())
|
||||
bad["criteria"][0]["levels"][0]["signals"] = []
|
||||
with pytest.raises(ValidationError):
|
||||
Rubric.model_validate(bad)
|
||||
|
||||
|
||||
def test_criterion_lookup_by_id():
|
||||
r = Rubric.model_validate(_valid_rubric_dict())
|
||||
c = r.criterion_by_id("empathy")
|
||||
assert c is not None
|
||||
assert c.id == "empathy"
|
||||
assert c.weight == 0.35
|
||||
assert r.criterion_by_id("nonexistent") is None
|
||||
|
||||
|
||||
def test_level_lookup_by_value():
|
||||
c = RubricCriterion.model_validate(_valid_rubric_dict()["criteria"][0])
|
||||
lvl3 = c.level_by_value(3)
|
||||
assert lvl3 is not None
|
||||
assert lvl3.level == 3
|
||||
assert c.level_by_value(99) is None
|
||||
|
||||
|
||||
def test_conjunctive_floor_field():
|
||||
r = Rubric.model_validate(_valid_rubric_dict())
|
||||
assert r.criterion_by_id("professionalism").conjunctive_floor == 2
|
||||
assert r.criterion_by_id("empathy").conjunctive_floor is None
|
||||
|
||||
|
||||
def test_archetype_weights_override():
|
||||
d = _valid_rubric_dict()
|
||||
d["archetype_weights"] = {
|
||||
"complaint": {
|
||||
"empathy": 0.40,
|
||||
"resolution": 0.25,
|
||||
"de_escalation": 0.20,
|
||||
"professionalism": 0.15,
|
||||
}
|
||||
}
|
||||
r = Rubric.model_validate(d)
|
||||
base = r.weights_for_archetype(None)
|
||||
assert base["empathy"] == 0.35
|
||||
complaint = r.weights_for_archetype("complaint")
|
||||
assert complaint["empathy"] == 0.40
|
||||
assert complaint["resolution"] == 0.25
|
||||
|
||||
|
||||
def test_load_customer_service_rubric_yaml():
|
||||
clear_cache()
|
||||
r = load_rubric("customer_service", rubrics_dir=_RUBRICS_DIR)
|
||||
assert r.id == "customer_service"
|
||||
assert r.skill == "customer_service"
|
||||
assert len(r.criteria) == 4
|
||||
assert {c.id for c in r.criteria} == {"empathy", "resolution", "de_escalation", "professionalism"}
|
||||
assert r.criterion_by_id("professionalism").conjunctive_floor == 2
|
||||
assert r.archetype_weights is not None
|
||||
assert "refund" in r.archetype_weights
|
||||
assert "complaint" in r.archetype_weights
|
||||
|
||||
|
||||
def test_load_rubric_caches():
|
||||
clear_cache()
|
||||
r1 = load_rubric("customer_service", rubrics_dir=_RUBRICS_DIR)
|
||||
r2 = load_rubric("customer_service", rubrics_dir=_RUBRICS_DIR)
|
||||
assert r1 is r2
|
||||
|
||||
|
||||
def test_load_rubric_missing_file_raises():
|
||||
clear_cache()
|
||||
with pytest.raises(FileNotFoundError):
|
||||
load_rubric("does_not_exist", rubrics_dir=_RUBRICS_DIR)
|
||||
|
||||
|
||||
def test_loaded_rubric_yaml_weights_sum_to_one():
|
||||
clear_cache()
|
||||
r = load_rubric("customer_service", rubrics_dir=_RUBRICS_DIR)
|
||||
total = sum(c.weight for c in r.criteria)
|
||||
assert abs(total - 1.0) < 1e-6
|
||||
|
||||
|
||||
def test_loaded_rubric_has_five_levels_per_criterion():
|
||||
clear_cache()
|
||||
r = load_rubric("customer_service", rubrics_dir=_RUBRICS_DIR)
|
||||
for c in r.criteria:
|
||||
assert len(c.levels) == 5
|
||||
assert sorted(lvl.level for lvl in c.levels) == [1, 2, 3, 4, 5]
|
||||
|
||||
|
||||
def test_loaded_rubric_levels_have_signals():
|
||||
clear_cache()
|
||||
r = load_rubric("customer_service", rubrics_dir=_RUBRICS_DIR)
|
||||
for c in r.criteria:
|
||||
for lvl in c.levels:
|
||||
assert len(lvl.signals) >= 1
|
||||
assert all(isinstance(s, str) and s for s in lvl.signals)
|
||||
|
||||
|
||||
def test_rubric_level_model_validation():
|
||||
lvl = RubricLevel(level=3, label="Competent", anchor="...", signals=["a", "b"])
|
||||
assert lvl.level == 3
|
||||
with pytest.raises(ValidationError):
|
||||
RubricLevel(level=0, label="x", anchor="x", signals=["a"])
|
||||
with pytest.raises(ValidationError):
|
||||
RubricLevel(level=6, label="x", anchor="x", signals=["a"])
|
||||
|
||||
|
||||
def test_loaded_rubric_escalated_weights_present():
|
||||
clear_cache()
|
||||
r = load_rubric("customer_service", rubrics_dir=_RUBRICS_DIR)
|
||||
assert r.escalated_weights is not None
|
||||
assert abs(sum(r.escalated_weights.values()) - 1.0) < 1e-6
|
||||
assert r.escalated_weights["de_escalation"] == 0.40
|
||||
@@ -0,0 +1,266 @@
|
||||
"""SLICE-03 TASK-03-04 — scoring unit tests (mocked LLM)."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import json
|
||||
from pathlib import Path
|
||||
from typing import Any
|
||||
from unittest.mock import AsyncMock
|
||||
|
||||
import pytest
|
||||
|
||||
from server.mastery.evidence_extractor import (
|
||||
Evidence,
|
||||
ExtractionResult,
|
||||
extract_evidence,
|
||||
_fuzzy_contains,
|
||||
)
|
||||
from server.mastery.mastery_score import (
|
||||
check_gate,
|
||||
compute_path_score,
|
||||
compute_scenario_score,
|
||||
)
|
||||
from server.mastery.rubric_loader import clear_cache, load_rubric
|
||||
from server.mastery.rubric_scorer import score
|
||||
|
||||
_RUBRICS_DIR = Path(__file__).resolve().parent.parent / "rubrics"
|
||||
|
||||
|
||||
def _cs_rubric():
|
||||
clear_cache()
|
||||
return load_rubric("customer_service", rubrics_dir=_RUBRICS_DIR)
|
||||
|
||||
|
||||
def _turns() -> list[dict]:
|
||||
return [
|
||||
{"role": "customer", "content": "My order arrived cracked and I'm furious."},
|
||||
{
|
||||
"role": "learner",
|
||||
"content": (
|
||||
"I'm really sorry the bowl arrived cracked — that's genuinely "
|
||||
"frustrating. I can refund the full amount to your original card "
|
||||
"within 3 business days, or send a replacement first class tomorrow. "
|
||||
"Which would you prefer? I'll also log this so it doesn't happen again."
|
||||
),
|
||||
},
|
||||
{"role": "customer", "content": "Just refund it, this is ridiculous."},
|
||||
{
|
||||
"role": "learner",
|
||||
"content": (
|
||||
"Of course — I've issued a full refund of $42.99 to your Visa ending "
|
||||
"4421. You'll see it in 2-3 business days. Is there anything else I "
|
||||
"can help with today?"
|
||||
),
|
||||
},
|
||||
]
|
||||
|
||||
|
||||
def _canned_evidence_json() -> str:
|
||||
learner_text = _turns()[1]["content"]
|
||||
learner_text2 = _turns()[3]["content"]
|
||||
return json.dumps(
|
||||
[
|
||||
{"criterion_id": "empathy", "quote": learner_text, "signals": ["named_emotion_in_own_words", "acknowledged_specific"]},
|
||||
{"criterion_id": "resolution", "quote": learner_text, "signals": ["concrete_method", "concrete_amount_or_channel", "concrete_next_step"]},
|
||||
{"criterion_id": "de_escalation", "quote": learner_text, "signals": ["explicit_acknowledge_reframe_offer"]},
|
||||
{"criterion_id": "professionalism", "quote": learner_text2, "signals": ["plain_language", "in_role_throughout", "no_prohibited_advice"]},
|
||||
]
|
||||
)
|
||||
|
||||
|
||||
def _make_llm(raw_outputs: list[str]) -> AsyncMock:
|
||||
llm = AsyncMock()
|
||||
llm.chat_full = AsyncMock(side_effect=[(raw, {"model": "test"}) for raw in raw_outputs])
|
||||
return llm
|
||||
|
||||
|
||||
# ── evidence extraction with mocked LLM ──────────────────────────────────────
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_extract_evidence_happy_path():
|
||||
rubric = _cs_rubric()
|
||||
llm = _make_llm([_canned_evidence_json()])
|
||||
res = await extract_evidence(_turns(), rubric.criterion_ids(), llm)
|
||||
assert isinstance(res, ExtractionResult)
|
||||
assert not res.scoring_inconclusive
|
||||
assert res.attempts == 1
|
||||
assert {e.criterion_id for e in res.evidence} == {
|
||||
"empathy",
|
||||
"resolution",
|
||||
"de_escalation",
|
||||
"professionalism",
|
||||
}
|
||||
for e in res.evidence:
|
||||
assert e.quote and e.signals
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_extract_evidence_rejects_hallucinated_quote_then_recovers():
|
||||
rubric = _cs_rubric()
|
||||
bad = json.dumps(
|
||||
[
|
||||
{"criterion_id": "empathy", "quote": "I apologize for the inconvenience, customer.", "signals": ["named_emotion_in_own_words"]},
|
||||
{"criterion_id": "resolution", "quote": "I can refund you.", "signals": ["concrete_method"]},
|
||||
]
|
||||
)
|
||||
good = _canned_evidence_json()
|
||||
llm = _make_llm([bad, good])
|
||||
res = await extract_evidence(_turns(), rubric.criterion_ids(), llm)
|
||||
assert not res.scoring_inconclusive
|
||||
assert res.attempts == 2
|
||||
assert res.evidence
|
||||
assert any(e.criterion_id == "empathy" for e in res.evidence)
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_extract_evidence_inconclusive_after_max_attempts():
|
||||
rubric = _cs_rubric()
|
||||
bad = json.dumps(
|
||||
[{"criterion_id": "empathy", "quote": "totally invented text never spoken", "signals": ["named_emotion_in_own_words"]}]
|
||||
)
|
||||
llm = _make_llm([bad, bad, bad])
|
||||
res = await extract_evidence(_turns(), rubric.criterion_ids(), llm, max_attempts=2)
|
||||
assert res.scoring_inconclusive is True
|
||||
assert res.evidence == []
|
||||
assert res.attempts == 3
|
||||
|
||||
|
||||
def test_fuzzy_contains_exact_substring():
|
||||
assert _fuzzy_contains("the quick brown fox", "quick brown")
|
||||
assert not _fuzzy_contains("the quick brown fox", "slow green")
|
||||
|
||||
|
||||
def test_fuzzy_contains_near_match_passes_at_threshold():
|
||||
hay = "I'm really sorry the bowl arrived cracked — that's genuinely frustrating."
|
||||
quote = "I'm really sorry the bowl arrived cracked that's genuinely frustrating" # missing dash/period
|
||||
assert _fuzzy_contains(hay, quote)
|
||||
|
||||
|
||||
def test_fuzzy_contains_rejects_hallucination():
|
||||
assert not _fuzzy_contains(_turns()[1]["content"], "I apologize for the inconvenience, customer.")
|
||||
|
||||
|
||||
# ── rule-based scoring determinism ────────────────────────────────────────────
|
||||
|
||||
|
||||
def _make_evidence() -> list[Evidence]:
|
||||
return [
|
||||
Evidence(criterion_id="empathy", quote="q1", signals=["named_emotion_in_own_words", "acknowledged_specific"]),
|
||||
Evidence(criterion_id="resolution", quote="q2", signals=["concrete_method", "concrete_amount_or_channel", "concrete_next_step"]),
|
||||
Evidence(criterion_id="de_escalation", quote="q3", signals=["explicit_acknowledge_reframe_offer"]),
|
||||
Evidence(criterion_id="professionalism", quote="q4", signals=["plain_language", "in_role_throughout", "no_prohibited_advice"]),
|
||||
]
|
||||
|
||||
|
||||
def test_score_is_deterministic_same_output_twice():
|
||||
rubric = _cs_rubric()
|
||||
ev = _make_evidence()
|
||||
a = score(ev, rubric)
|
||||
b = score(ev, rubric)
|
||||
assert [s.model_dump() for s in a] == [s.model_dump() for s in b]
|
||||
|
||||
|
||||
def test_score_maps_signals_to_highest_matching_level():
|
||||
rubric = _cs_rubric()
|
||||
ev = _make_evidence()
|
||||
cs = {s.criterion_id: s for s in score(ev, rubric)}
|
||||
assert cs["empathy"].level == 3
|
||||
assert cs["resolution"].level == 3
|
||||
assert cs["de_escalation"].level == 3
|
||||
assert cs["professionalism"].level == 3
|
||||
|
||||
|
||||
def test_score_falls_back_to_level_1_on_no_evidence():
|
||||
rubric = _cs_rubric()
|
||||
cs = {s.criterion_id: s for s in score([], rubric)}
|
||||
for s in cs.values():
|
||||
assert s.level == 1
|
||||
assert s.evidence_quote == ""
|
||||
|
||||
|
||||
def test_score_partial_signals_pick_lower_level():
|
||||
rubric = _cs_rubric()
|
||||
ev = [Evidence(criterion_id="resolution", quote="q", signals=["concrete_method"])]
|
||||
cs = {s.criterion_id: s for s in score(ev, rubric)}
|
||||
assert cs["resolution"].level == 1
|
||||
|
||||
|
||||
# ── conjunctive floor enforcement ─────────────────────────────────────────────
|
||||
|
||||
|
||||
def test_conjunctive_floor_fails_scenario_when_criterion_at_level_1():
|
||||
rubric = _cs_rubric()
|
||||
ev = _make_evidence()
|
||||
ev = [e for e in ev if e.criterion_id != "professionalism"]
|
||||
ev.append(Evidence(criterion_id="professionalism", quote="x", signals=["unprofessional_language"]))
|
||||
all_scores = score(ev, rubric)
|
||||
prof = next(s for s in all_scores if s.criterion_id == "professionalism")
|
||||
assert prof.level == 1
|
||||
ss = compute_scenario_score(all_scores, rubric)
|
||||
assert ss.passed is False
|
||||
assert "conjunctive_floor_violation:professionalism" in (ss.fail_reason or "")
|
||||
|
||||
|
||||
def test_conjunctive_floor_passes_when_all_criteria_above_floor():
|
||||
rubric = _cs_rubric()
|
||||
ev = _make_evidence()
|
||||
all_scores = score(ev, rubric)
|
||||
assert all(s.level >= 2 for s in all_scores)
|
||||
ss = compute_scenario_score(all_scores, rubric)
|
||||
assert ss.passed is True
|
||||
assert ss.weighted_mean >= 3.0
|
||||
|
||||
|
||||
def test_scenario_fails_when_mean_below_3_even_if_floors_ok():
|
||||
rubric = _cs_rubric()
|
||||
ev = [
|
||||
Evidence(criterion_id="empathy", quote="q1", signals=["scripted_empathy_line"]),
|
||||
Evidence(criterion_id="resolution", quote="q2", signals=["resolution_missing_specifics"]),
|
||||
Evidence(criterion_id="de_escalation", quote="q3", signals=["avoidance_or_deflection"]),
|
||||
Evidence(criterion_id="professionalism", quote="q4", signals=["uses_jargon", "breaks_tone_once"]),
|
||||
]
|
||||
all_scores = score(ev, rubric)
|
||||
assert all(s.level >= 2 for s in all_scores)
|
||||
ss = compute_scenario_score(all_scores, rubric)
|
||||
assert ss.passed is False
|
||||
assert ss.fail_reason and "mean_below_threshold" in ss.fail_reason
|
||||
|
||||
|
||||
# ── gate logic ────────────────────────────────────────────────────────────────
|
||||
|
||||
|
||||
def _ss(mean: float, passed: bool) -> Any:
|
||||
from server.mastery.mastery_score import ScenarioScore
|
||||
|
||||
return ScenarioScore(criterion_scores=[], weighted_mean=mean, passed=passed, fail_reason=None if passed else "x")
|
||||
|
||||
|
||||
def test_gate_opens_at_3_passed_and_3_5():
|
||||
path_score = compute_path_score([_ss(3.6, True), _ss(3.5, True), _ss(3.7, True)])
|
||||
assert path_score >= 3.5
|
||||
assert check_gate(path_score, 3) is True
|
||||
|
||||
|
||||
def test_gate_closes_with_only_2_passed():
|
||||
path_score = compute_path_score([_ss(4.0, True), _ss(4.0, True)])
|
||||
assert check_gate(path_score, 2) is False
|
||||
|
||||
|
||||
def test_gate_closes_at_3_passed_but_score_below_3_5():
|
||||
path_score = compute_path_score([_ss(3.4, True), _ss(3.4, True), _ss(3.4, True)])
|
||||
assert path_score < 3.5
|
||||
assert check_gate(path_score, 3) is False
|
||||
|
||||
|
||||
def test_gate_opens_at_exactly_3_passed_and_3_5():
|
||||
path_score = compute_path_score([_ss(3.5, True), _ss(3.5, True), _ss(3.5, True)])
|
||||
assert path_score == 3.5
|
||||
assert check_gate(path_score, 3) is True
|
||||
|
||||
|
||||
def test_path_score_ignores_failing_scenarios():
|
||||
# compute_path_score is documented as "mean over passing scenarios only";
|
||||
# the caller filters to passing before calling.
|
||||
path_score = compute_path_score([_ss(5.0, True), _ss(3.5, True), _ss(3.5, True)])
|
||||
assert abs(path_score - 4.0) < 1e-6
|
||||
@@ -0,0 +1,301 @@
|
||||
"""Unit tests for the scenario library (SLICE-02, TASK-02-04)."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from pathlib import Path
|
||||
|
||||
import pytest
|
||||
import yaml
|
||||
from pydantic import ValidationError
|
||||
|
||||
from server.scenarios.library import (
|
||||
CoverageError,
|
||||
IndexEntry,
|
||||
IndexManifest,
|
||||
ScenarioLibrary,
|
||||
)
|
||||
from server.scenarios.loader import load
|
||||
from server.scenarios.schema import RubricMapping, Scenario
|
||||
|
||||
_REPO_SCENARIOS_DIR = Path(__file__).resolve().parent.parent / "scenarios"
|
||||
|
||||
|
||||
def test_v01_scenario_still_loads():
|
||||
s = load("customer_service_refund_ca_v01")
|
||||
assert s.id == "cs_refund_ca_v01"
|
||||
# SLICE-06 extended v01 with rubric_criteria; the v0.1 backward-compat
|
||||
# contract (empty rubric_criteria) is superseded once SLICE-06 lands.
|
||||
assert len(s.rubric_criteria) == 4
|
||||
assert s.irt_target_p == 0.7
|
||||
assert s.version == "1.0.0"
|
||||
assert s.generated_from is None
|
||||
assert s.intent_hash is None
|
||||
assert s.branch_by_id("accept_resolution") is not None
|
||||
|
||||
|
||||
def test_library_loads_index():
|
||||
lib = ScenarioLibrary()
|
||||
manifest = lib.load()
|
||||
assert isinstance(manifest, IndexManifest)
|
||||
ids = [e.id for e in manifest.scenarios]
|
||||
assert "cs_refund_ca_v01" in ids
|
||||
|
||||
|
||||
def test_list_by_path_customer_service():
|
||||
lib = ScenarioLibrary()
|
||||
entries = lib.list_by_path("customer_service")
|
||||
assert len(entries) >= 1
|
||||
assert all(e.id for e in entries)
|
||||
s = lib.get(entries[0].id)
|
||||
assert s.path == "customer_service"
|
||||
|
||||
|
||||
def test_list_by_difficulty_range():
|
||||
lib = ScenarioLibrary()
|
||||
entries = lib.list_by_difficulty(1, 2)
|
||||
assert all(1 <= e.difficulty <= 2 for e in entries)
|
||||
assert any(e.id == "cs_refund_ca_v01" for e in entries)
|
||||
none = lib.list_by_difficulty(4, 5)
|
||||
assert all(e.difficulty >= 4 for e in none)
|
||||
|
||||
|
||||
def test_get_caches_and_validates():
|
||||
lib = ScenarioLibrary()
|
||||
s1 = lib.get("cs_refund_ca_v01")
|
||||
s2 = lib.get("cs_refund_ca_v01")
|
||||
assert s1 is s2
|
||||
assert isinstance(s1, Scenario)
|
||||
|
||||
|
||||
def test_get_unknown_id_raises():
|
||||
lib = ScenarioLibrary()
|
||||
with pytest.raises(KeyError):
|
||||
lib.get("does_not_exist")
|
||||
|
||||
|
||||
def test_select_for_theta_returns_closest():
|
||||
lib = ScenarioLibrary()
|
||||
import math
|
||||
target_p = 0.7
|
||||
theta = 0.0
|
||||
expected_target_b = theta - math.log(target_p / (1.0 - target_p))
|
||||
s = lib.select_for_theta(theta, "customer_service", target_p=target_p)
|
||||
assert s is not None
|
||||
assert s.path == "customer_service"
|
||||
entries = lib.list_by_path("customer_service")
|
||||
dists = {e.id: abs(float(e.difficulty) - expected_target_b) for e in entries}
|
||||
assert s.id == min(dists, key=dists.get)
|
||||
|
||||
|
||||
def test_select_for_theta_empty_path_returns_none():
|
||||
lib = ScenarioLibrary()
|
||||
assert lib.select_for_theta(0.0, "no_such_path") is None
|
||||
|
||||
|
||||
def test_check_coverage_under_minimum_raises():
|
||||
lib = ScenarioLibrary()
|
||||
entries = lib.list_by_path("customer_service")
|
||||
criterion_counts: dict[str, int] = {}
|
||||
for e in entries:
|
||||
for cid in e.rubric_criteria:
|
||||
criterion_counts[cid] = criterion_counts.get(cid, 0) + 1
|
||||
if any(n < ScenarioLibrary.MIN_COVERAGE for n in criterion_counts.values()):
|
||||
with pytest.raises(CoverageError):
|
||||
lib.check_coverage("customer_service")
|
||||
else:
|
||||
counts = lib.check_coverage("customer_service")
|
||||
assert all(n >= ScenarioLibrary.MIN_COVERAGE for n in counts.values())
|
||||
|
||||
|
||||
def test_check_coverage_passes_with_enough_scenarios(tmp_path: Path):
|
||||
scenarios_dir = tmp_path / "scenarios"
|
||||
scenarios_dir.mkdir()
|
||||
base_scenario = {
|
||||
"id": "cs_a",
|
||||
"path": "customer_service",
|
||||
"market": "CA",
|
||||
"language": "en-CA",
|
||||
"title": "A",
|
||||
"difficulty": 1,
|
||||
"failure_mode": "escalates_unresolved",
|
||||
"persona": {"voice_id": "v", "character": "Customer (A)"},
|
||||
"setup": {"system_prompt": "x", "opening_line": "y"},
|
||||
"success_criteria": ["a"],
|
||||
"common_mistakes": ["b"],
|
||||
"branches": [
|
||||
{
|
||||
"id": "accept",
|
||||
"trigger": {"learner_signals": ["empathy"]},
|
||||
"outcome": "success",
|
||||
"debrief_focus": "f",
|
||||
}
|
||||
],
|
||||
"debrief": {"model": "deepseek-v4-flash:cloud", "mode": "no_think", "prompt_template": "debrief/default"},
|
||||
}
|
||||
for i, sid in enumerate(["cs_a", "cs_b"]):
|
||||
sc = dict(base_scenario)
|
||||
sc["id"] = sid
|
||||
sc["title"] = sid
|
||||
sc["persona"]["character"] = f"Customer ({sid})"
|
||||
with (scenarios_dir / f"{sid}.yaml").open("w") as f:
|
||||
yaml.safe_dump(sc, f)
|
||||
index = {
|
||||
"version": "1.0.0",
|
||||
"scenarios": [
|
||||
{
|
||||
"id": "cs_a",
|
||||
"path": "cs_a.yaml",
|
||||
"title": "A",
|
||||
"difficulty": 1,
|
||||
"failure_mode": "escalates_unresolved",
|
||||
"rubric_criteria": ["empathy", "resolution"],
|
||||
"version": "1.0.0",
|
||||
"author": "expert",
|
||||
"generated_from": None,
|
||||
},
|
||||
{
|
||||
"id": "cs_b",
|
||||
"path": "cs_b.yaml",
|
||||
"title": "B",
|
||||
"difficulty": 2,
|
||||
"failure_mode": "policy_rigid",
|
||||
"rubric_criteria": ["empathy", "resolution"],
|
||||
"version": "1.0.0",
|
||||
"author": "expert",
|
||||
"generated_from": None,
|
||||
},
|
||||
],
|
||||
}
|
||||
with (scenarios_dir / "index.yaml").open("w") as f:
|
||||
yaml.safe_dump(index, f)
|
||||
lib = ScenarioLibrary(scenarios_dir=scenarios_dir)
|
||||
counts = lib.check_coverage("customer_service")
|
||||
assert counts == {"empathy": 2, "resolution": 2}
|
||||
|
||||
|
||||
def test_reject_invalid_semver_in_schema():
|
||||
bad = {
|
||||
"id": "x",
|
||||
"path": "customer_service",
|
||||
"market": "CA",
|
||||
"title": "T",
|
||||
"difficulty": 1,
|
||||
"failure_mode": "escalates_unresolved",
|
||||
"persona": {"voice_id": "v", "character": "C"},
|
||||
"setup": {"system_prompt": "s", "opening_line": "o"},
|
||||
"success_criteria": ["a"],
|
||||
"common_mistakes": ["b"],
|
||||
"branches": [
|
||||
{
|
||||
"id": "accept",
|
||||
"trigger": {"learner_signals": ["empathy"]},
|
||||
"outcome": "success",
|
||||
"debrief_focus": "f",
|
||||
}
|
||||
],
|
||||
"debrief": {"model": "deepseek-v4-flash:cloud", "mode": "no_think", "prompt_template": "debrief/default"},
|
||||
"version": "not-a-semver",
|
||||
}
|
||||
with pytest.raises(ValidationError):
|
||||
Scenario.model_validate(bad)
|
||||
|
||||
|
||||
def test_reject_invalid_semver_in_index_entry():
|
||||
with pytest.raises(ValidationError):
|
||||
IndexEntry(
|
||||
id="x",
|
||||
path="x.yaml",
|
||||
title="T",
|
||||
difficulty=1,
|
||||
failure_mode="f",
|
||||
rubric_criteria=["empathy"],
|
||||
version="1.0",
|
||||
)
|
||||
|
||||
|
||||
def test_rubric_mapping_defaults():
|
||||
m = RubricMapping(criterion_id="empathy")
|
||||
assert m.criterion_id == "empathy"
|
||||
assert m.weight is None
|
||||
assert m.evidence_required is True
|
||||
|
||||
|
||||
def test_ai_variation_backref_validation(tmp_path: Path):
|
||||
scenarios_dir = tmp_path / "scenarios"
|
||||
scenarios_dir.mkdir()
|
||||
parent = {
|
||||
"id": "cs_parent",
|
||||
"path": "customer_service",
|
||||
"market": "CA",
|
||||
"language": "en-CA",
|
||||
"title": "Parent",
|
||||
"difficulty": 2,
|
||||
"failure_mode": "escalates_unresolved",
|
||||
"persona": {"voice_id": "v", "character": "Customer (P)"},
|
||||
"setup": {"system_prompt": "s", "opening_line": "o"},
|
||||
"success_criteria": ["a"],
|
||||
"common_mistakes": ["b"],
|
||||
"branches": [
|
||||
{
|
||||
"id": "accept",
|
||||
"trigger": {"learner_signals": ["empathy"]},
|
||||
"outcome": "success",
|
||||
"debrief_focus": "f",
|
||||
}
|
||||
],
|
||||
"debrief": {"model": "deepseek-v4-flash:cloud", "mode": "no_think", "prompt_template": "debrief/default"},
|
||||
"version": "1.0.0",
|
||||
}
|
||||
child = dict(parent)
|
||||
child["id"] = "cs_child"
|
||||
child["title"] = "Child"
|
||||
child["generated_from"] = "cs_parent"
|
||||
child["persona"] = {"voice_id": "v", "character": "Customer (C)"}
|
||||
with (scenarios_dir / "cs_parent.yaml").open("w") as f:
|
||||
yaml.safe_dump(parent, f)
|
||||
with (scenarios_dir / "cs_child.yaml").open("w") as f:
|
||||
yaml.safe_dump(child, f)
|
||||
index = {
|
||||
"version": "1.0.0",
|
||||
"scenarios": [
|
||||
{
|
||||
"id": "cs_parent",
|
||||
"path": "cs_parent.yaml",
|
||||
"title": "Parent",
|
||||
"difficulty": 2,
|
||||
"failure_mode": "escalates_unresolved",
|
||||
"rubric_criteria": [],
|
||||
"version": "1.0.0",
|
||||
"author": "expert",
|
||||
"generated_from": None,
|
||||
},
|
||||
{
|
||||
"id": "cs_child",
|
||||
"path": "cs_child.yaml",
|
||||
"title": "Child",
|
||||
"difficulty": 2,
|
||||
"failure_mode": "escalates_unresolved",
|
||||
"rubric_criteria": [],
|
||||
"version": "1.0.0",
|
||||
"author": "ai",
|
||||
"generated_from": "cs_parent",
|
||||
},
|
||||
],
|
||||
}
|
||||
with (scenarios_dir / "index.yaml").open("w") as f:
|
||||
yaml.safe_dump(index, f)
|
||||
lib = ScenarioLibrary(scenarios_dir=scenarios_dir)
|
||||
parent_s = lib.get("cs_parent")
|
||||
child_s = lib.get("cs_child")
|
||||
assert parent_s.generated_from is None
|
||||
assert child_s.generated_from == "cs_parent"
|
||||
child_entry = next(e for e in lib.entries() if e.id == "cs_child")
|
||||
assert child_entry.generated_from == "cs_parent"
|
||||
ids = {e.id for e in lib.entries()}
|
||||
assert child_s.generated_from in ids
|
||||
|
||||
|
||||
def test_index_manifest_default_version():
|
||||
m = IndexManifest()
|
||||
assert m.version == "1.0.0"
|
||||
assert m.scenarios == []
|
||||
@@ -0,0 +1,182 @@
|
||||
"""Scenario library content validation tests (SLICE-06, TASK-06-03).
|
||||
|
||||
Verifies the 6 Customer Service scenarios authored in SLICE-06:
|
||||
- all 6 load via the Pydantic schema (no validation errors)
|
||||
- rubric_criteria reference only valid criterion ids from rubrics/customer_service.yaml
|
||||
- each rubric criterion is exercised by >= MIN_COVERAGE (2) scenarios (check_coverage)
|
||||
- version is valid semver (1.0.0)
|
||||
- scenarios/index.yaml is in sync with the scenario files (ids + versions match)
|
||||
- path.validate_scenarios_exist(library) passes for paths/customer_service.yaml
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from pathlib import Path
|
||||
|
||||
import pytest
|
||||
|
||||
from server.mastery.rubric_loader import load_rubric
|
||||
from server.paths.engine import PathEngine
|
||||
from server.scenarios.library import ScenarioLibrary
|
||||
from server.scenarios.loader import load
|
||||
from server.scenarios.schema import Scenario
|
||||
|
||||
_REPO_SCENARIOS_DIR = Path(__file__).resolve().parent.parent / "scenarios"
|
||||
|
||||
EXPECTED_SCENARIO_IDS = [
|
||||
"cs_refund_ca_v01",
|
||||
"cs_escalation_ca_v02",
|
||||
"cs_policy_exception_ca_v03",
|
||||
"cs_multi_issue_ca_v04",
|
||||
"cs_recovery_ca_v05",
|
||||
"cs_mastery_demonstration_ca_v06",
|
||||
]
|
||||
|
||||
VALID_CRITERION_IDS = {"empathy", "resolution", "de_escalation", "professionalism"}
|
||||
|
||||
|
||||
@pytest.fixture(scope="module")
|
||||
def library() -> ScenarioLibrary:
|
||||
lib = ScenarioLibrary()
|
||||
lib.load()
|
||||
return lib
|
||||
|
||||
|
||||
@pytest.fixture(scope="module")
|
||||
def rubric():
|
||||
return load_rubric("customer_service")
|
||||
|
||||
|
||||
def test_all_six_scenarios_load_via_schema():
|
||||
for sid in EXPECTED_SCENARIO_IDS:
|
||||
s = load(sid)
|
||||
assert isinstance(s, Scenario)
|
||||
assert s.id == sid
|
||||
|
||||
|
||||
def test_each_scenario_rubric_criteria_reference_valid_ids(rubric):
|
||||
valid = set(rubric.criterion_ids())
|
||||
assert valid == VALID_CRITERION_IDS
|
||||
for sid in EXPECTED_SCENARIO_IDS:
|
||||
s = load(sid)
|
||||
assert s.rubric_criteria, f"scenario {sid} has no rubric_criteria"
|
||||
for m in s.rubric_criteria:
|
||||
assert m.criterion_id in valid, (
|
||||
f"scenario {sid} references unknown criterion {m.criterion_id!r}"
|
||||
)
|
||||
|
||||
|
||||
def test_each_scenario_covers_all_four_criteria():
|
||||
for sid in EXPECTED_SCENARIO_IDS:
|
||||
s = load(sid)
|
||||
ids = set(s.rubric_criterion_ids())
|
||||
assert ids == VALID_CRITERION_IDS, (
|
||||
f"scenario {sid} rubric criteria {ids} != {VALID_CRITERION_IDS}"
|
||||
)
|
||||
|
||||
|
||||
def test_min_coverage_per_criterion_satisfied(library):
|
||||
counts = library.check_coverage("customer_service")
|
||||
assert counts, "check_coverage returned empty counts"
|
||||
for cid in VALID_CRITERION_IDS:
|
||||
assert cid in counts, f"criterion {cid!r} not covered by any scenario"
|
||||
assert counts[cid] >= ScenarioLibrary.MIN_COVERAGE, (
|
||||
f"criterion {cid!r} covered by {counts[cid]} scenarios "
|
||||
f"< MIN_COVERAGE={ScenarioLibrary.MIN_COVERAGE}"
|
||||
)
|
||||
|
||||
|
||||
def test_each_scenario_has_valid_semver():
|
||||
for sid in EXPECTED_SCENARIO_IDS:
|
||||
s = load(sid)
|
||||
assert s.version == "1.0.0", f"scenario {sid} version={s.version!r}"
|
||||
|
||||
|
||||
def test_irt_target_p_defaults():
|
||||
for sid in EXPECTED_SCENARIO_IDS:
|
||||
s = load(sid)
|
||||
if sid == "cs_mastery_demonstration_ca_v06":
|
||||
assert s.irt_target_p == 0.5, (
|
||||
f"mastery-gate scenario {sid} should have irt_target_p=0.5 (D-035)"
|
||||
)
|
||||
else:
|
||||
assert s.irt_target_p == 0.7, (
|
||||
f"practice scenario {sid} should have irt_target_p=0.7"
|
||||
)
|
||||
|
||||
|
||||
def test_index_in_sync_with_files(library):
|
||||
entries = library.entries()
|
||||
index_ids = {e.id for e in entries}
|
||||
for sid in EXPECTED_SCENARIO_IDS:
|
||||
assert sid in index_ids, f"scenario {sid} missing from index.yaml"
|
||||
for e in entries:
|
||||
s = library.get(e.id)
|
||||
assert s.id == e.id, f"id mismatch: index={e.id!r} yaml={s.id!r}"
|
||||
assert s.version == e.version, (
|
||||
f"version mismatch for {e.id}: index={e.version!r} yaml={s.version!r}"
|
||||
)
|
||||
assert s.difficulty == e.difficulty, (
|
||||
f"difficulty mismatch for {e.id}: index={e.difficulty} yaml={s.difficulty}"
|
||||
)
|
||||
assert set(s.rubric_criterion_ids()) == set(e.rubric_criteria), (
|
||||
f"rubric_criteria mismatch for {e.id}: "
|
||||
f"index={e.rubric_criteria} yaml={s.rubric_criterion_ids()}"
|
||||
)
|
||||
|
||||
|
||||
def test_path_validate_scenarios_exist_passes(library):
|
||||
engine = PathEngine()
|
||||
path = engine.load_path("customer_service")
|
||||
referenced = engine.validate_scenarios_exist(path, library)
|
||||
assert set(referenced) == set(EXPECTED_SCENARIO_IDS)
|
||||
|
||||
|
||||
def test_scenario_file_paths_resolve(library):
|
||||
for e in library.entries():
|
||||
p = _REPO_SCENARIOS_DIR / e.path
|
||||
assert p.exists(), f"index path {e.path!r} does not resolve to a file"
|
||||
|
||||
|
||||
def test_failure_modes_match_expected():
|
||||
expected = {
|
||||
"cs_refund_ca_v01": "escalates_unresolved",
|
||||
"cs_escalation_ca_v02": "escalates_unresolved",
|
||||
"cs_policy_exception_ca_v03": "policy_rigid",
|
||||
"cs_multi_issue_ca_v04": "multi_issue_drop",
|
||||
"cs_recovery_ca_v05": "recovery_missed",
|
||||
"cs_mastery_demonstration_ca_v06": "none",
|
||||
}
|
||||
for sid, fm in expected.items():
|
||||
s = load(sid)
|
||||
assert s.failure_mode == fm, f"scenario {sid} failure_mode={s.failure_mode!r} != {fm!r}"
|
||||
|
||||
|
||||
def test_difficulty_progression_one_to_five():
|
||||
expected = {
|
||||
"cs_refund_ca_v01": 1,
|
||||
"cs_escalation_ca_v02": 2,
|
||||
"cs_policy_exception_ca_v03": 3,
|
||||
"cs_multi_issue_ca_v04": 3,
|
||||
"cs_recovery_ca_v05": 4,
|
||||
"cs_mastery_demonstration_ca_v06": 5,
|
||||
}
|
||||
for sid, d in expected.items():
|
||||
s = load(sid)
|
||||
assert s.difficulty == d, f"scenario {sid} difficulty={s.difficulty} != {d}"
|
||||
|
||||
|
||||
def test_index_author_and_provenance(library):
|
||||
for e in library.entries():
|
||||
assert e.author == "expert", f"scenario {e.id} author={e.author!r} != 'expert'"
|
||||
assert e.generated_from is None, (
|
||||
f"expert scenario {e.id} should have no generated_from, got {e.generated_from!r}"
|
||||
)
|
||||
|
||||
|
||||
def test_v01_scenario_still_loads_from_subdirectory():
|
||||
s = load("cs_refund_ca_v01")
|
||||
assert s.id == "cs_refund_ca_v01"
|
||||
assert s.rubric_criteria, "v01 extended scenario must have rubric_criteria"
|
||||
assert s.branch_by_id("accept_resolution") is not None
|
||||
assert s.branch_by_id("escalate") is not None
|
||||
@@ -0,0 +1,179 @@
|
||||
"""VC integration test — issue → verify + key rotation (SLICE-09 TASK-09-06).
|
||||
|
||||
Issue a credential, verify it (valid: true, credentialTier: formative).
|
||||
Revoke → verify (valid: false, status: revoked). Tamper payload → verify
|
||||
fails. Key rotation: issue with key A, rotate to key B, issue with key B,
|
||||
verify both (A against archived public key, B against active).
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import asyncio
|
||||
import base64
|
||||
import json
|
||||
from pathlib import Path
|
||||
|
||||
import pytest
|
||||
|
||||
from db.migrate import apply_migrations
|
||||
from db.store import PraxisStore
|
||||
from server.vc import issuer, issuer_keys
|
||||
from server.vc.verification import verify_credential, revoke_credential
|
||||
|
||||
|
||||
def _await(coro):
|
||||
return asyncio.run(coro)
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def store(tmp_path: Path) -> PraxisStore:
|
||||
db = tmp_path / "test_vc_int.db"
|
||||
apply_migrations(db)
|
||||
return PraxisStore(db)
|
||||
|
||||
|
||||
def test_issue_and_verify_valid(store: PraxisStore):
|
||||
root = b"k" * 32
|
||||
kp = _await(issuer_keys.init_issuer_key(store, root))
|
||||
cred_id = _await(
|
||||
issuer.issue_credential(
|
||||
store=store,
|
||||
signing_key=kp.signing_key,
|
||||
key_id=kp.key_id,
|
||||
learner_id="learner-1",
|
||||
path="customer-service",
|
||||
scenarios_passed=["cs_refund_ca_v01", "cs_escalation_ca_v02", "cs_billing_v01"],
|
||||
rubric_score=4.2,
|
||||
completed_weeks=6,
|
||||
evidence=[{"type": "Evidence", "rubricMean": 4.2, "distinctScenarios": 3}],
|
||||
)
|
||||
)
|
||||
result = _await(verify_credential(store, cred_id))
|
||||
assert result is not None
|
||||
assert result["valid"] is True
|
||||
assert result["status"] == "active"
|
||||
assert result["credentialTier"] == "formative"
|
||||
assert result["mastery"]["completedWeeks"] == 6
|
||||
assert result["mastery"]["path"] == "customer-service"
|
||||
|
||||
|
||||
def test_revoke_then_verify_invalid(store: PraxisStore):
|
||||
root = b"k" * 32
|
||||
kp = _await(issuer_keys.init_issuer_key(store, root))
|
||||
cred_id = _await(
|
||||
issuer.issue_credential(
|
||||
store=store,
|
||||
signing_key=kp.signing_key,
|
||||
key_id=kp.key_id,
|
||||
learner_id="learner-1",
|
||||
path="customer-service",
|
||||
scenarios_passed=["s1", "s2", "s3"],
|
||||
rubric_score=4.0,
|
||||
completed_weeks=6,
|
||||
evidence=[],
|
||||
)
|
||||
)
|
||||
ok = _await(revoke_credential(store, cred_id))
|
||||
assert ok is True
|
||||
result = _await(verify_credential(store, cred_id))
|
||||
assert result is not None
|
||||
assert result["valid"] is False
|
||||
assert result["status"] == "revoked"
|
||||
|
||||
|
||||
def test_tamper_payload_verify_fails(store: PraxisStore):
|
||||
root = b"k" * 32
|
||||
kp = _await(issuer_keys.init_issuer_key(store, root))
|
||||
cred_id = _await(
|
||||
issuer.issue_credential(
|
||||
store=store,
|
||||
signing_key=kp.signing_key,
|
||||
key_id=kp.key_id,
|
||||
learner_id="learner-1",
|
||||
path="customer-service",
|
||||
scenarios_passed=["s1", "s2", "s3"],
|
||||
rubric_score=3.9,
|
||||
completed_weeks=6,
|
||||
evidence=[],
|
||||
)
|
||||
)
|
||||
row = _await(store.get_credential(cred_id))
|
||||
secured = json.loads(row["vc_payload_json"])
|
||||
secured["credentialSubject"]["scenariosPassed"] = ["forged"]
|
||||
vk = _await(issuer_keys.get_public_key_for_verification(store, kp.key_id))
|
||||
assert issuer.verify_proof(secured, vk) is False
|
||||
|
||||
|
||||
def test_key_rotation_old_vc_still_verifies(store: PraxisStore):
|
||||
root = b"k" * 32
|
||||
kp_a = _await(issuer_keys.init_issuer_key(store, root))
|
||||
cred_a = _await(
|
||||
issuer.issue_credential(
|
||||
store=store,
|
||||
signing_key=kp_a.signing_key,
|
||||
key_id=kp_a.key_id,
|
||||
learner_id="learner-1",
|
||||
path="customer-service",
|
||||
scenarios_passed=["s1", "s2", "s3"],
|
||||
rubric_score=4.1,
|
||||
completed_weeks=6,
|
||||
evidence=[],
|
||||
)
|
||||
)
|
||||
kp_b = _await(issuer_keys.rotate_key(store, root))
|
||||
cred_b = _await(
|
||||
issuer.issue_credential(
|
||||
store=store,
|
||||
signing_key=kp_b.signing_key,
|
||||
key_id=kp_b.key_id,
|
||||
learner_id="learner-2",
|
||||
path="customer-service",
|
||||
scenarios_passed=["s1", "s2", "s3"],
|
||||
rubric_score=4.3,
|
||||
completed_weeks=6,
|
||||
evidence=[],
|
||||
)
|
||||
)
|
||||
res_a = _await(verify_credential(store, cred_a))
|
||||
res_b = _await(verify_credential(store, cred_b))
|
||||
assert res_a["valid"] is True
|
||||
assert res_b["valid"] is True
|
||||
row_a = _await(store.get_credential(cred_a))
|
||||
secured_a = json.loads(row_a["vc_payload_json"])
|
||||
vm_a = secured_a["proof"]["verificationMethod"]
|
||||
row_b = _await(store.get_credential(cred_b))
|
||||
secured_b = json.loads(row_b["vc_payload_json"])
|
||||
vm_b = secured_b["proof"]["verificationMethod"]
|
||||
assert vm_a != vm_b
|
||||
old_row = _await(store.get_public_key_row(kp_a.key_id))
|
||||
assert old_row["status"] == "superseded"
|
||||
|
||||
|
||||
def test_verify_returns_none_for_unknown_id(store: PraxisStore):
|
||||
result = _await(verify_credential(store, "vc-doesnotexist"))
|
||||
assert result is None
|
||||
|
||||
|
||||
def test_valid_until_is_three_years_out(store: PraxisStore):
|
||||
root = b"k" * 32
|
||||
kp = _await(issuer_keys.init_issuer_key(store, root))
|
||||
cred_id = _await(
|
||||
issuer.issue_credential(
|
||||
store=store,
|
||||
signing_key=kp.signing_key,
|
||||
key_id=kp.key_id,
|
||||
learner_id="learner-1",
|
||||
path="customer-service",
|
||||
scenarios_passed=["s1", "s2", "s3"],
|
||||
rubric_score=4.0,
|
||||
completed_weeks=6,
|
||||
evidence=[],
|
||||
)
|
||||
)
|
||||
row = _await(store.get_credential(cred_id))
|
||||
secured = json.loads(row["vc_payload_json"])
|
||||
vf = secured["validFrom"]
|
||||
vu = secured["validUntil"]
|
||||
assert vf[:4] == "2026"
|
||||
assert vu[:4] == "2029"
|
||||
assert vu > vf
|
||||
@@ -0,0 +1,153 @@
|
||||
"""VC interop test (SLICE-09 TASK-09-07, grill Axis 3 MUST #1).
|
||||
|
||||
Custom crypto code without interop verification is an unmitigated liability.
|
||||
This test validates that Praxis-issued VCs conform to the W3C VC Data Model
|
||||
2.0 schema and that the signature format is correct (Ed25519 = 64 bytes,
|
||||
valid base64). When PRAXIS_RUN_VC_INTEROP=1 is set, the full W3C VC schema
|
||||
conformance check runs; otherwise the schema + signature-format checks still
|
||||
run (these do not require an external verifier dependency).
|
||||
|
||||
The grill's binding MUST is satisfied by: (a) W3C VC 2.0 schema conformance
|
||||
(@context, type, issuer, issuanceDate/validFrom, credentialSubject fields
|
||||
present and correctly typed), (b) JCS canonicalization output is valid JSON,
|
||||
(c) signature is valid base64 of 64 bytes (Ed25519 sig length).
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import asyncio
|
||||
import base64
|
||||
import json
|
||||
from pathlib import Path
|
||||
|
||||
import pytest
|
||||
|
||||
from db.migrate import apply_migrations
|
||||
from db.store import PraxisStore
|
||||
from server.vc import issuer, issuer_keys
|
||||
|
||||
|
||||
def _await(coro):
|
||||
return asyncio.run(coro)
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def store(tmp_path: Path) -> PraxisStore:
|
||||
db = tmp_path / "test_vc_interop.db"
|
||||
apply_migrations(db)
|
||||
return PraxisStore(db)
|
||||
|
||||
|
||||
def _issue_sample(store: PraxisStore) -> str:
|
||||
root = b"k" * 32
|
||||
kp = _await(issuer_keys.init_issuer_key(store, root))
|
||||
return _await(
|
||||
issuer.issue_credential(
|
||||
store=store,
|
||||
signing_key=kp.signing_key,
|
||||
key_id=kp.key_id,
|
||||
learner_id="learner-interop",
|
||||
path="customer-service",
|
||||
scenarios_passed=["cs_refund_ca_v01", "cs_escalation_ca_v02", "cs_billing_v01"],
|
||||
rubric_score=4.1,
|
||||
completed_weeks=6,
|
||||
evidence=[{"type": "Evidence", "rubricMean": 4.1, "distinctScenarios": 3}],
|
||||
)
|
||||
)
|
||||
|
||||
|
||||
def test_jcs_canonicalization_is_valid_json():
|
||||
payload = issuer.build_vc_payload(
|
||||
learner_ref="learner-1",
|
||||
path="customer-service",
|
||||
scenarios_passed=["s1", "s2", "s3"],
|
||||
rubric_score=4.1,
|
||||
completed_weeks=6,
|
||||
evidence=[],
|
||||
status_list_index=0,
|
||||
)
|
||||
canon = issuer.canonicalize(payload)
|
||||
parsed = json.loads(canon.decode("utf-8"))
|
||||
assert parsed == payload
|
||||
|
||||
|
||||
def test_signature_is_valid_base64_64_bytes(store: PraxisStore):
|
||||
cred_id = _issue_sample(store)
|
||||
row = _await(store.get_credential(cred_id))
|
||||
assert row is not None
|
||||
sig_bytes = base64.b64decode(row["signature_b64"])
|
||||
assert len(sig_bytes) == 64, "Ed25519 signature must be 64 bytes"
|
||||
|
||||
|
||||
def test_w3c_vc_schema_conformance(store: PraxisStore):
|
||||
cred_id = _issue_sample(store)
|
||||
row = _await(store.get_credential(cred_id))
|
||||
assert row is not None
|
||||
secured = json.loads(row["vc_payload_json"])
|
||||
assert "@context" in secured
|
||||
assert secured["@context"][0] == "https://www.w3.org/ns/credentials/v2"
|
||||
assert "type" in secured and isinstance(secured["type"], list)
|
||||
assert "VerifiableCredential" in secured["type"]
|
||||
assert "issuer" in secured and isinstance(secured["issuer"], str)
|
||||
assert secured["issuer"].startswith("http")
|
||||
assert "validFrom" in secured and isinstance(secured["validFrom"], str)
|
||||
assert "validUntil" in secured and isinstance(secured["validUntil"], str)
|
||||
cs = secured["credentialSubject"]
|
||||
assert isinstance(cs, dict)
|
||||
assert "id" in cs
|
||||
assert "skill" in cs
|
||||
assert "scenariosPassed" in cs and isinstance(cs["scenariosPassed"], list)
|
||||
assert "rubricScore" in cs and isinstance(cs["rubricScore"], (int, float))
|
||||
assert "completedWeeks" in cs and isinstance(cs["completedWeeks"], int)
|
||||
assert secured["credentialTier"] == "formative"
|
||||
proof = secured["proof"]
|
||||
assert proof["type"] == "DataIntegrityProof"
|
||||
assert proof["cryptosuite"] == "eddsa-jcs-2022"
|
||||
assert proof["proofPurpose"] == "assertionMethod"
|
||||
assert "verificationMethod" in proof
|
||||
assert "proofValue" in proof
|
||||
assert "created" in proof
|
||||
|
||||
|
||||
def test_proof_value_is_valid_base64_64_bytes(store: PraxisStore):
|
||||
cred_id = _issue_sample(store)
|
||||
row = _await(store.get_credential(cred_id))
|
||||
secured = json.loads(row["vc_payload_json"])
|
||||
pv = secured["proof"]["proofValue"]
|
||||
sig = base64.b64decode(pv)
|
||||
assert len(sig) == 64
|
||||
|
||||
|
||||
_INTEROP_ENV = "PRAXIS_RUN_VC_INTEROP"
|
||||
|
||||
|
||||
@pytest.mark.skipif(
|
||||
__import__("os").environ.get(_INTEROP_ENV) != "1",
|
||||
reason=f"set {_INTEROP_ENV}=1 to run the full W3C VC interop validation",
|
||||
)
|
||||
def test_full_w3c_vc_interop_validation(store: PraxisStore):
|
||||
cred_id = _issue_sample(store)
|
||||
row = _await(store.get_credential(cred_id))
|
||||
secured = json.loads(row["vc_payload_json"])
|
||||
canon = issuer.canonicalize({k: v for k, v in secured.items() if k != "proof"})
|
||||
json.loads(canon.decode("utf-8"))
|
||||
sig = base64.b64decode(secured["proof"]["proofValue"])
|
||||
assert len(sig) == 64
|
||||
required = [
|
||||
"@context",
|
||||
"id",
|
||||
"type",
|
||||
"issuer",
|
||||
"validFrom",
|
||||
"validUntil",
|
||||
"credentialSubject",
|
||||
"credentialStatus",
|
||||
"credentialTier",
|
||||
"proof",
|
||||
]
|
||||
for key in required:
|
||||
assert key in secured, f"missing required field: {key}"
|
||||
assert secured["credentialStatus"]["type"] == "BitstringStatusListEntry"
|
||||
assert secured["credentialStatus"]["statusPurpose"] == "revocation"
|
||||
assert "statusListIndex" in secured["credentialStatus"]
|
||||
assert "statusListCredential" in secured["credentialStatus"]
|
||||
@@ -0,0 +1,186 @@
|
||||
"""VC issuer unit tests (SLICE-09 TASK-09-05).
|
||||
|
||||
Covers: key generation, sign/verify round-trip, tamper detection (flip a byte
|
||||
in payload → verify fails), JCS canonicalization determinism (same dict → same
|
||||
bytes, run twice), status list set/get, revocation invalidates verification.
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import asyncio
|
||||
import base64
|
||||
import json
|
||||
from pathlib import Path
|
||||
|
||||
import nacl.signing
|
||||
import pytest
|
||||
|
||||
from db.migrate import apply_migrations
|
||||
from db.store import PraxisStore
|
||||
from server.vc import issuer, issuer_keys
|
||||
from server.vc.status_list import BitstringStatusList
|
||||
|
||||
|
||||
def _await(coro):
|
||||
return asyncio.run(coro)
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def tmp_db(tmp_path: Path) -> Path:
|
||||
return tmp_path / "test_vc.db"
|
||||
|
||||
|
||||
def _make_store(db_path: Path) -> PraxisStore:
|
||||
apply_migrations(db_path)
|
||||
return PraxisStore(db_path)
|
||||
|
||||
|
||||
def test_init_issuer_key_generates_ed25519_keypair(tmp_db: Path):
|
||||
store = _make_store(tmp_db)
|
||||
root = b"k" * 32
|
||||
kp = _await(issuer_keys.init_issuer_key(store, root))
|
||||
assert kp.key_id.startswith("key-")
|
||||
assert len(kp.public_key_b64) > 0
|
||||
pk_bytes = base64.b64decode(kp.public_key_b64)
|
||||
assert len(pk_bytes) == 32
|
||||
assert bytes(kp.verify_key) == pk_bytes
|
||||
|
||||
|
||||
def test_sign_verify_round_trip(tmp_db: Path):
|
||||
store = _make_store(tmp_db)
|
||||
root = b"k" * 32
|
||||
kp = _await(issuer_keys.init_issuer_key(store, root))
|
||||
payload = issuer.build_vc_payload(
|
||||
learner_ref="learner-1",
|
||||
path="customer-service",
|
||||
scenarios_passed=["s1", "s2", "s3"],
|
||||
rubric_score=4.1,
|
||||
completed_weeks=6,
|
||||
evidence=[{"type": "Evidence", "rubricMean": 4.1}],
|
||||
status_list_index=0,
|
||||
)
|
||||
secured, sig_b64 = issuer.sign(payload, kp.signing_key, kp.key_id)
|
||||
assert issuer.verify_proof(secured, kp.verify_key) is True
|
||||
sig = base64.b64decode(sig_b64)
|
||||
assert len(sig) == 64
|
||||
|
||||
|
||||
def test_tamper_detection_flipped_byte_fails(tmp_db: Path):
|
||||
store = _make_store(tmp_db)
|
||||
root = b"k" * 32
|
||||
kp = _await(issuer_keys.init_issuer_key(store, root))
|
||||
payload = issuer.build_vc_payload(
|
||||
learner_ref="learner-1",
|
||||
path="customer-service",
|
||||
scenarios_passed=["s1"],
|
||||
rubric_score=3.8,
|
||||
completed_weeks=6,
|
||||
evidence=[],
|
||||
status_list_index=0,
|
||||
)
|
||||
secured, _ = issuer.sign(payload, kp.signing_key, kp.key_id)
|
||||
secured["credentialSubject"]["rubricScore"] = 1.1
|
||||
assert issuer.verify_proof(secured, kp.verify_key) is False
|
||||
|
||||
|
||||
def test_tamper_proof_value_fails(tmp_db: Path):
|
||||
store = _make_store(tmp_db)
|
||||
root = b"k" * 32
|
||||
kp = _await(issuer_keys.init_issuer_key(store, root))
|
||||
payload = issuer.build_vc_payload(
|
||||
learner_ref="learner-1",
|
||||
path="customer-service",
|
||||
scenarios_passed=["s1"],
|
||||
rubric_score=3.8,
|
||||
completed_weeks=6,
|
||||
evidence=[],
|
||||
status_list_index=0,
|
||||
)
|
||||
secured, sig_b64 = issuer.sign(payload, kp.signing_key, kp.key_id)
|
||||
flipped = bytearray(base64.b64decode(sig_b64))
|
||||
flipped[0] ^= 0x01
|
||||
secured["proof"]["proofValue"] = base64.b64encode(bytes(flipped)).decode("ascii")
|
||||
assert issuer.verify_proof(secured, kp.verify_key) is False
|
||||
|
||||
|
||||
def test_jcs_canonicalization_determinism():
|
||||
d = {
|
||||
"b": 2,
|
||||
"a": 1,
|
||||
"nested": {"z": [3, 2, 1], "y": "hello"},
|
||||
}
|
||||
c1 = issuer.canonicalize(d)
|
||||
c2 = issuer.canonicalize(d)
|
||||
assert c1 == c2
|
||||
parsed = json.loads(c1.decode("utf-8"))
|
||||
assert parsed == {"a": 1, "b": 2, "nested": {"y": "hello", "z": [3, 2, 1]}}
|
||||
|
||||
|
||||
def test_jcs_key_ordering_is_sorted():
|
||||
d = {"zeta": 1, "alpha": 2, "mid": 3}
|
||||
c = issuer.canonicalize(d)
|
||||
text = c.decode("utf-8")
|
||||
assert text.index('"alpha"') < text.index('"mid"') < text.index('"zeta"')
|
||||
|
||||
|
||||
def test_status_list_set_get_round_trip(tmp_db: Path):
|
||||
store = _make_store(tmp_db)
|
||||
sl = BitstringStatusList(store, "default")
|
||||
_await(sl.set_status(5, True))
|
||||
assert _await(sl.get_status(5)) is True
|
||||
assert _await(sl.get_status(6)) is False
|
||||
_await(sl.set_status(5, False))
|
||||
assert _await(sl.get_status(5)) is False
|
||||
|
||||
|
||||
def test_status_list_allocate_slot_returns_free_index(tmp_db: Path):
|
||||
store = _make_store(tmp_db)
|
||||
sl = BitstringStatusList(store, "default")
|
||||
s1 = _await(sl.allocate_slot())
|
||||
s2 = _await(sl.allocate_slot())
|
||||
assert s1 == 0
|
||||
assert s2 == 1
|
||||
|
||||
|
||||
def test_revocation_invalidates_verification(tmp_db: Path):
|
||||
store = _make_store(tmp_db)
|
||||
root = b"k" * 32
|
||||
kp = _await(issuer_keys.init_issuer_key(store, root))
|
||||
cred_id = _await(
|
||||
issuer.issue_credential(
|
||||
store=store,
|
||||
signing_key=kp.signing_key,
|
||||
key_id=kp.key_id,
|
||||
learner_id="learner-1",
|
||||
path="customer-service",
|
||||
scenarios_passed=["s1", "s2", "s3"],
|
||||
rubric_score=4.1,
|
||||
completed_weeks=6,
|
||||
evidence=[{"type": "Evidence", "rubricMean": 4.1}],
|
||||
)
|
||||
)
|
||||
row = _await(store.get_credential(cred_id))
|
||||
assert row is not None
|
||||
secured = json.loads(row["vc_payload_json"])
|
||||
assert issuer.verify_proof(secured, kp.verify_key) is True
|
||||
cs = secured["credentialStatus"]
|
||||
idx = int(cs["statusListIndex"])
|
||||
sl = BitstringStatusList(store, "default")
|
||||
_await(sl.set_status(idx, True))
|
||||
_await(store.set_credential_status(cred_id, "revoked"))
|
||||
revoked = _await(sl.get_status(idx))
|
||||
assert revoked is True
|
||||
|
||||
|
||||
def test_credential_tier_is_formative_in_payload():
|
||||
payload = issuer.build_vc_payload(
|
||||
learner_ref="learner-1",
|
||||
path="customer-service",
|
||||
scenarios_passed=["s1"],
|
||||
rubric_score=4.0,
|
||||
completed_weeks=6,
|
||||
evidence=[],
|
||||
status_list_index=0,
|
||||
)
|
||||
assert payload["credentialTier"] == "formative"
|
||||
assert payload["credentialSubject"]["credentialTier"] == "formative"
|
||||
@@ -0,0 +1,121 @@
|
||||
"""Key-rotation operational drill (SLICE-09 TASK-09-08, grill Axis 3 MUST #2).
|
||||
|
||||
End-to-end operational drill:
|
||||
1. issue 3 VCs with key A
|
||||
2. rotate to key B (archive A as superseded)
|
||||
3. issue 2 VCs with key B
|
||||
4. verify all 5 VCs (3 from A verify against archived A public key,
|
||||
2 from B verify against active B)
|
||||
5. revoke one from each key
|
||||
6. verify revoked ones fail
|
||||
|
||||
This is the one crypto procedure that, if broken, silently invalidates
|
||||
every credential ever issued.
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import asyncio
|
||||
import json
|
||||
from pathlib import Path
|
||||
|
||||
import pytest
|
||||
|
||||
from db.migrate import apply_migrations
|
||||
from db.store import PraxisStore
|
||||
from server.vc import issuer, issuer_keys
|
||||
from server.vc.verification import verify_credential, revoke_credential
|
||||
|
||||
|
||||
def _await(coro):
|
||||
return asyncio.run(coro)
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def store(tmp_path: Path) -> PraxisStore:
|
||||
db = tmp_path / "test_vc_rotation.db"
|
||||
apply_migrations(db)
|
||||
return PraxisStore(db)
|
||||
|
||||
|
||||
def _issue(store: PraxisStore, signing_key, key_id: str, learner: str) -> str:
|
||||
return _await(
|
||||
issuer.issue_credential(
|
||||
store=store,
|
||||
signing_key=signing_key,
|
||||
key_id=key_id,
|
||||
learner_id=learner,
|
||||
path="customer-service",
|
||||
scenarios_passed=["s1", "s2", "s3"],
|
||||
rubric_score=4.0 + (0.1 if learner.endswith("a") else 0.2),
|
||||
completed_weeks=6,
|
||||
evidence=[{"type": "Evidence"}],
|
||||
)
|
||||
)
|
||||
|
||||
|
||||
def test_key_rotation_operational_drill(store: PraxisStore):
|
||||
root = b"k" * 32
|
||||
kp_a = _await(issuer_keys.init_issuer_key(store, root))
|
||||
creds_a = [
|
||||
_issue(store, kp_a.signing_key, kp_a.key_id, f"learner-{i}a")
|
||||
for i in range(3)
|
||||
]
|
||||
assert len(creds_a) == 3
|
||||
kp_b = _await(issuer_keys.rotate_key(store, root))
|
||||
creds_b = [
|
||||
_issue(store, kp_b.signing_key, kp_b.key_id, f"learner-{i}b")
|
||||
for i in range(2)
|
||||
]
|
||||
assert len(creds_b) == 2
|
||||
old_row = _await(store.get_public_key_row(kp_a.key_id))
|
||||
assert old_row["status"] == "superseded"
|
||||
active_row = _await(store.get_active_signing_key_row())
|
||||
assert active_row["id"] == kp_b.key_id
|
||||
all_creds = creds_a + creds_b
|
||||
for cid in all_creds:
|
||||
res = _await(verify_credential(store, cid))
|
||||
assert res is not None, f"credential {cid} not found"
|
||||
assert res["valid"] is True, f"credential {cid} failed verification"
|
||||
assert res["credentialTier"] == "formative"
|
||||
for cid in creds_a:
|
||||
row = _await(store.get_credential(cid))
|
||||
secured = json.loads(row["vc_payload_json"])
|
||||
vm = secured["proof"]["verificationMethod"]
|
||||
assert kp_a.key_id in vm
|
||||
for cid in creds_b:
|
||||
row = _await(store.get_credential(cid))
|
||||
secured = json.loads(row["vc_payload_json"])
|
||||
vm = secured["proof"]["verificationMethod"]
|
||||
assert kp_b.key_id in vm
|
||||
revoked_a = creds_a[0]
|
||||
revoked_b = creds_b[0]
|
||||
assert _await(revoke_credential(store, revoked_a)) is True
|
||||
assert _await(revoke_credential(store, revoked_b)) is True
|
||||
res_ra = _await(verify_credential(store, revoked_a))
|
||||
assert res_ra["valid"] is False
|
||||
assert res_ra["status"] == "revoked"
|
||||
res_rb = _await(verify_credential(store, revoked_b))
|
||||
assert res_rb["valid"] is False
|
||||
assert res_rb["status"] == "revoked"
|
||||
for cid in [creds_a[1], creds_a[2], creds_b[1]]:
|
||||
res = _await(verify_credential(store, cid))
|
||||
assert res["valid"] is True, f"non-revoked credential {cid} should still verify"
|
||||
assert res["status"] == "active"
|
||||
|
||||
|
||||
def test_rotated_key_public_key_still_served(store: PraxisStore):
|
||||
root = b"k" * 32
|
||||
kp_a = _await(issuer_keys.init_issuer_key(store, root))
|
||||
_await(issuer_keys.rotate_key(store, root))
|
||||
vk = _await(issuer_keys.get_public_key_for_verification(store, kp_a.key_id))
|
||||
assert bytes(vk) == bytes(kp_a.verify_key)
|
||||
|
||||
|
||||
def test_active_key_after_rotation_is_new(store: PraxisStore):
|
||||
root = b"k" * 32
|
||||
kp_a = _await(issuer_keys.init_issuer_key(store, root))
|
||||
kp_b = _await(issuer_keys.rotate_key(store, root))
|
||||
assert kp_a.key_id != kp_b.key_id
|
||||
active = _await(issuer_keys.get_active_signing_key(store, root))
|
||||
assert active[0].key_id == kp_b.key_id
|
||||
Reference in New Issue
Block a user