732642856
97 lines
3.4 KiB
Python
97 lines
3.4 KiB
Python
#!/usr/bin/env python3
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"""Regression tests for MCP career event adjudication."""
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from __future__ import annotations
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from mcp_server import _collect_strict_evidence
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def _base_career_result() -> dict:
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return {
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"modules": {
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"varga_full": {"D10_Dasamsa": {"summary": "career varga present"}},
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"special_lagnas": {"A10_Karma_Pada": {"sign": "Capricorn", "lord": "Saturn"}},
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"jaimini": {
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"karakas": {
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"Amatyakaraka": {"planet": "Mercury"},
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"Atmakaraka": {"planet": "Sun"},
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},
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"karakamsha": {"karakamsha_sign": "Leo", "karakamsha_lord": "Sun"},
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},
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"dasha": {"current_dasha": {"mahadasha": "Mercury", "antardasha": "Sun"}},
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"narayana_dasha": {"current_dasha": {"sign": "Capricorn", "lord": "Saturn"}},
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"dasa_convergence": {
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"domain_activations": {
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"career_status": {"convergence_level": "L2", "probability": "35-50%"}
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}
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},
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"argala": {
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"houses": {
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"house_10": {
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"net_result": "supported",
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"argala_count": 2,
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"virodhargala_count": 0,
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}
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}
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},
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}
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}
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def test_career_collects_a10_amk_karakamsha_as_strict_evidence() -> None:
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strict = _collect_strict_evidence("career", _base_career_result())
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assert strict["question_type"] == "career"
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assert strict["present_evidence"]["d10_dasamsa"] == {"summary": "career varga present"}
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assert strict["present_evidence"]["a10_karma_pada"] == {"sign": "Capricorn", "lord": "Saturn"}
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assert strict["present_evidence"]["amatyakaraka"] == {"planet": "Mercury"}
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assert strict["present_evidence"]["karakamsha"] == {
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"karakamsha_sign": "Leo",
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"karakamsha_lord": "Sun",
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}
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assert strict["event_judgement"]["event_family"] == "career"
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assert strict["event_judgement"]["dominant_label"] == "career_status"
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assert strict["event_judgement"]["secondary_context"] == [
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"a10_active",
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"amk_active",
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"karakamsha_context",
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"argala_support",
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]
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def test_career_blocks_label_when_d10_is_missing_but_preserves_jaimini_context() -> None:
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result = _base_career_result()
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del result["modules"]["varga_full"]["D10_Dasamsa"]
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strict = _collect_strict_evidence("career", result)
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assert "d10_dasamsa" in strict["missing_evidence"]
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assert strict["blocked"] is True
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assert strict["event_judgement"]["dominant_label"] is None
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assert strict["event_judgement"]["secondary_context"] == [
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"a10_active",
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"amk_active",
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"karakamsha_context",
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"argala_support",
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]
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def test_career_argala_bridge_uses_tenth_house_as_modifier_only() -> None:
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result = _base_career_result()
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strict = _collect_strict_evidence("career", result)
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assert strict["present_evidence"]["argala_support"] == {
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"level": "supportive",
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"target_house": 10,
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"source": "argala_house_bridge_v1",
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"signals": ["argala_support"],
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"raw": {
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"net_result": "supported",
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"argala_count": 2,
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"virodhargala_count": 0,
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},
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}
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assert strict["event_judgement"]["dominant_label"] == "career_status"
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assert "argala_support" in strict["event_judgement"]["secondary_context"]
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