732642856
218 lines
9.2 KiB
Python
218 lines
9.2 KiB
Python
#!/usr/bin/env python3
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"""Regression tests for MCP finance event adjudication."""
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from __future__ import annotations
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from mcp_server import _collect_strict_evidence, _derive_event_judgement
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def test_finance_public_wealth_label_requires_at_least_moderate_window() -> None:
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judgement = _derive_event_judgement(
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"finance",
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{
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"wealth_convergence": {"convergence_level": "L1", "probability": "+15-20%"},
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"gains_convergence": {"convergence_level": "L1", "probability": "+15-20%"},
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"career_convergence": {"convergence_level": "L1", "probability": "+15-20%"},
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"vimshottari_current": {"mahadasha": "Venus", "antardasha": "Mercury"},
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"narayana_current": {"sign": "Taurus", "lord": "Venus"},
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},
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[],
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)
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assert judgement["event_family"] == "finance"
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assert judgement["score"] == 40
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assert judgement["verdict"] == "weak_window_needs_confirmation"
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assert judgement["payout_label"] is None
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assert judgement["dominant_label"] is None
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assert judgement["secondary_context"] == []
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def test_finance_public_wealth_label_can_lift_visible_wealth_cases() -> None:
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judgement = _derive_event_judgement(
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"finance",
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{
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"wealth_convergence": {"convergence_level": "L1", "probability": "+15-20%"},
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"gains_convergence": {"convergence_level": "L2", "probability": "35-50%"},
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"career_convergence": {"convergence_level": "L2", "probability": "35-50%"},
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"vimshottari_current": {"mahadasha": "Jupiter", "antardasha": "Venus"},
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"narayana_current": {"sign": "Libra", "lord": "Venus"},
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},
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[],
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)
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assert judgement["event_family"] == "finance"
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assert judgement["score"] == 60
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assert judgement["verdict"] == "moderate_probability_window"
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assert judgement["payout_label"] == "public_wealth_status"
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assert judgement["dominant_label"] == "public_wealth_status"
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assert judgement["secondary_context"] == ["career_status", "gains_wishes"]
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def test_finance_prefers_income_growth_when_gains_outrun_public_status_signals() -> None:
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judgement = _derive_event_judgement(
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"finance",
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{
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"wealth_convergence": {"convergence_level": "L1", "probability": "+15-20%"},
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"gains_convergence": {"convergence_level": "L3", "probability": "50-65%"},
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"vimshottari_current": {"mahadasha": "Venus", "antardasha": "Moon"},
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"narayana_current": {"sign": "Gemini", "lord": "Mercury"},
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},
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[],
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)
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assert judgement["event_family"] == "finance"
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assert judgement["score"] == 80
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assert judgement["verdict"] == "moderate_probability_window"
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assert judgement["payout_label"] == "income_growth"
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assert judgement["dominant_label"] == "income_growth"
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assert judgement["secondary_context"] == ["wealth_family"]
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def test_finance_strong_wealth_promise_can_unlock_public_wealth_status() -> None:
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judgement = _derive_event_judgement(
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"finance",
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{
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"wealth_convergence": {"convergence_level": "L1", "probability": "+15-20%"},
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"gains_convergence": {"convergence_level": "L1", "probability": "+15-20%"},
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"career_convergence": {"convergence_level": "L1", "probability": "+15-20%"},
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"vimshottari_current": {"mahadasha": "Venus", "antardasha": "Mercury"},
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"narayana_current": {"sign": "Taurus", "lord": "Venus"},
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"wealth_promise_strength": {
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"level": "strong",
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"primary_source": "dhana_yogas",
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"supporting_sources": ["dhana"],
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"source_diversity": 1,
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"count": 1,
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},
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},
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[],
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)
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assert judgement["event_family"] == "finance"
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assert judgement["score"] == 60
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assert judgement["verdict"] == "moderate_probability_window"
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assert judgement["payout_label"] == "public_wealth_status"
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assert judgement["dominant_label"] == "public_wealth_status"
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assert judgement["secondary_context"] == ["career_status", "gains_wishes"]
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def test_finance_source_diversity_adds_small_bump_without_changing_verdict_band() -> None:
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low_diversity = _derive_event_judgement(
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"finance",
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{
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"wealth_convergence": {"convergence_level": "L1", "probability": "+15-20%"},
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"gains_convergence": {"convergence_level": "L1", "probability": "+15-20%"},
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"career_convergence": {"convergence_level": "L1", "probability": "+15-20%"},
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"vimshottari_current": {"mahadasha": "Venus", "antardasha": "Mercury"},
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"narayana_current": {"sign": "Taurus", "lord": "Venus"},
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"wealth_promise_strength": {
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"level": "strong",
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"primary_source": "dhana_yogas",
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"supporting_sources": ["dhana"],
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"source_diversity": 1,
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"count": 2,
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},
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},
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[],
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)
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high_diversity = _derive_event_judgement(
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"finance",
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{
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"wealth_convergence": {"convergence_level": "L1", "probability": "+15-20%"},
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"gains_convergence": {"convergence_level": "L1", "probability": "+15-20%"},
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"career_convergence": {"convergence_level": "L1", "probability": "+15-20%"},
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"vimshottari_current": {"mahadasha": "Venus", "antardasha": "Mercury"},
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"narayana_current": {"sign": "Taurus", "lord": "Venus"},
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"wealth_promise_strength": {
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"level": "strong",
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"primary_source": "dhana_lakshmi_hooks",
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"supporting_sources": ["dhana", "lakshmi"],
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"source_diversity": 2,
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"count": 2,
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},
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},
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[],
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)
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assert low_diversity["verdict"] == "moderate_probability_window"
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assert high_diversity["verdict"] == "moderate_probability_window"
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assert high_diversity["score"] == low_diversity["score"] + 5
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def test_collect_strict_evidence_finance_derives_wealth_promise_from_dhana_yogas() -> None:
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result = {
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"modules": {
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"varga_full": {"D2_Hora": {"summary": "ok"}, "D10_Dasamsa": {"summary": "ok"}},
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"shadbala": {"planets": {"Venus": {"total_rupa": 8.2}}},
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"ashtakavarga": {"house_scores": {"2": 31, "11": 36}},
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"dasha": {"current_dasha": {"mahadasha": "Venus", "antardasha": "Mercury"}},
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"narayana_dasha": {"current_dasha": {"sign": "Taurus", "lord": "Venus"}},
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"dasa_convergence": {
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"domain_activations": {
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"wealth_family": {"convergence_level": "L1", "probability": "+15-20%"},
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"gains_wishes": {"convergence_level": "L1", "probability": "+15-20%"},
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"career_status": {"convergence_level": "L1", "probability": "+15-20%"},
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}
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},
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"yogas_doshas": {
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"dhana_yogas": {
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"yogas": [
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{"type": "Dhana Yoga", "strength": "strong"},
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{"type": "Dhana Yoga", "strength": "moderate"},
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],
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"summary": "Dhana Yoga检测：共2个格局",
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}
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},
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}
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}
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strict = _collect_strict_evidence("finance", result)
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present = strict["present_evidence"]
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assert present["wealth_promise_strength"] == {
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"level": "strong",
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"primary_source": "dhana_yogas",
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"count": 2,
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"source_diversity": 1,
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"supporting_sources": ["dhana"],
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}
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assert strict["event_judgement"]["score"] == 100
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assert strict["event_judgement"]["verdict"] == "moderate_probability_window"
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assert strict["event_judgement"]["payout_label"] == "public_wealth_status"
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def test_collect_strict_evidence_finance_combines_dhana_and_lakshmi_hooks() -> None:
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result = {
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"modules": {
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"varga_full": {"D2_Hora": {"summary": "ok"}, "D10_Dasamsa": {"summary": "ok"}},
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"shadbala": {"planets": {"Venus": {"total_rupa": 8.2}}},
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"ashtakavarga": {"house_scores": {"2": 31, "11": 36}},
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"dasha": {"current_dasha": {"mahadasha": "Venus", "antardasha": "Mercury"}},
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"narayana_dasha": {"current_dasha": {"sign": "Taurus", "lord": "Venus"}},
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"dasa_convergence": {
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"domain_activations": {
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"wealth_family": {"convergence_level": "L1", "probability": "+15-20%"},
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"gains_wishes": {"convergence_level": "L1", "probability": "+15-20%"},
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"career_status": {"convergence_level": "L1", "probability": "+15-20%"},
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}
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},
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"yogas_doshas": {
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"dhana_yogas": {
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"yogas": [
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{"type": "Dhana Yoga", "strength": "moderate"},
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{"type": "Lakshmi Yoga", "strength": "strong"},
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],
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"summary": "Dhana/Lakshmi检测：共2个格局",
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}
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},
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}
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}
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strict = _collect_strict_evidence("finance", result)
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assert strict["present_evidence"]["wealth_promise_strength"] == {
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"level": "strong",
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"primary_source": "dhana_lakshmi_hooks",
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"count": 2,
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"source_diversity": 2,
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"supporting_sources": ["dhana", "lakshmi"],
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}
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