732642856
83 lines
2.8 KiB
Python
83 lines
2.8 KiB
Python
from scripts.skill_experience import (
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build_rectification_questionnaire,
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build_skill_doctor,
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build_skill_onboarding,
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score_rectification_answers,
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summarize_execution_status,
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)
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def test_onboarding_requests_only_missing_birth_fields():
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packet = build_skill_onboarding({"year": 1993, "month": 4, "day": 17})
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assert packet["status"] == "needs_birth_data"
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assert packet["entry_mode"] == "pending"
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assert packet["missing_fields"] == ["hour", "minute", "lat", "lon"]
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assert packet["next_action"] == "collect_birth_data"
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def test_onboarding_selects_rectification_for_uncertain_time():
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packet = build_skill_onboarding({
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"year": 1993,
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"month": 4,
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"day": 17,
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"hour": 14,
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"minute": 49,
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"lat": 36.68,
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"lon": 114.35,
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"time_uncertainty_minutes": 20,
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})
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assert packet["status"] == "ready"
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assert packet["entry_mode"] == "rectification"
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assert packet["next_action"] == "run_rectification_questionnaire"
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assert packet["first_question"]
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def test_execution_status_makes_official_fallback_machine_readable():
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status = summarize_execution_status({
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"fallback_reason": "VedAstro official snapshot blocked: official_snapshot_budget_exhausted",
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"external_engine_cross_validation": {
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"engines": {"VedAstro": {"status": "local_fallback"}}
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},
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})
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assert status["official_evidence_status"] == "official_blocked"
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assert status["calculation_source"] == "local_fallback"
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assert status["fallback_reason"] == "VedAstro official snapshot blocked: official_snapshot_budget_exhausted"
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assert "official_verified" in status["allowed_claims"]
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def test_doctor_has_machine_readable_core_and_adapter_state():
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packet = build_skill_doctor()
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assert packet["scope"] == "skill_doctor"
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assert "core_assets" in packet
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assert "external_engine_adapters" in packet
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assert packet["status"] in {"ready", "degraded"}
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def test_mcp_exposes_skill_experience_tools():
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import mcp_server
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onboarding = mcp_server.skill_onboarding({})
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doctor = mcp_server.skill_doctor()
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assert onboarding["scope"] == "skill_onboarding"
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assert doctor["scope"] == "skill_doctor"
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def test_rectification_contract_generates_and_scores_choice_answers():
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questionnaire = build_rectification_questionnaire({
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"year": 1993, "month": 4, "day": 17, "hour": 14, "minute": 49,
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"time_uncertainty_minutes": 20,
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})
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scored = score_rectification_answers(questionnaire, {
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"education_environment_shift": "A",
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"health_crisis_or_low_period": "C",
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})
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assert questionnaire["scope"] == "active_birth_time_rectification_questionnaire"
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assert scored["scope"] == "active_birth_time_rectification_scoring"
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assert scored["candidate_cluster_rankings"]
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