732642856
0f0c5dbdfa
New modules (from Chinese reference articles): - darakaraka_reader.py: DK spouse deep analysis (planet/sign/house/aspects) - rashi_tulya_navamsa.py: RTN mapping engine (D9->D1, Gunas, curse detection) - curse_yoga_detector.py: Curse yoga naming (Yama/Preta/Rakshasa/Pisacha) - spouse_status_yoga.py: High-status spouse detection (7 principles) - pancha_pakshi.py: Five-bird electional timing (daily schedule) - tithi_analyzer.py: Tithi lord emotional pattern analysis Infrastructure: - technique_registry.py: Unified technique registry (31 techniques tracked) - reading_orchestrator.py: Theme-based reading orchestrator (5 themes) All 6 modules tested and runnable. Current baseline: Precision 94.66%, Recall 92.95%, F1 93.80%
432 lines
16 KiB
Python
432 lines
16 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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spouse_status_yoga.py — 高地位配偶与婚后成长Yoga检测引擎
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==========================================================
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检测配偶社会地位高于命主、婚后命运积极转变的占星组合
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来源: 文章7 + 传统BPHS/BVR技法
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版本: v1.0 | 2026-06-07
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"""
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from typing import Dict, List, Optional, Tuple
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from dataclasses import dataclass, field
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# 上升星座对应的7宫星座
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HOUSE7_SIGNS = {
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"Aries": "Libra", "Taurus": "Scorpio", "Gemini": "Sagittarius",
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"Cancer": "Capricorn", "Leo": "Aquarius", "Virgo": "Pisces",
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"Libra": "Aries", "Scorpio": "Taurus", "Sagittarius": "Gemini",
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"Capricorn": "Cancer", "Aquarius": "Leo", "Pisces": "Virgo",
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}
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# 星座守护星
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SIGN_LORDS = {
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"Aries": "Mars", "Taurus": "Venus", "Gemini": "Mercury",
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"Cancer": "Moon", "Leo": "Sun", "Virgo": "Mercury",
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"Libra": "Venus", "Scorpio": "Mars", "Sagittarius": "Jupiter",
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"Capricorn": "Saturn", "Aquarius": "Saturn", "Pisces": "Jupiter",
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}
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# Upachaya宫（成长宫）— 从任何宫位起算的3/6/10/11
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UPACHAYA_OFFSETS = [2, 5, 9, 10] # 从当前宫起算的偏移（3=+2, 6=+5, 10=+9, 11=+10）
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@dataclass
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class SpouseStatusIndicator:
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"""单个指标"""
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indicator_type: str # 指标类型
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description: str # 描述
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present: bool # 是否存在
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strength: float # 强度 0-1
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evidence: List[str] = field(default_factory=list)
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@dataclass
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class SpouseStatusAnalysis:
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"""高地位配偶分析结果"""
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# 四大核心原则
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principle1: SpouseStatusIndicator # 7宫强于Lagna
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principle2: SpouseStatusIndicator # D9中7主星有Rajyoga
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principle3: SpouseStatusIndicator # 7主星在Upachaya
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principle4: SpouseStatusIndicator # 从7宫起算的Upachaya被占据
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# 综合评估
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overall_score: float = 0.0 # 0-1
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verdict: str = "" # 结论
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spouse_status: str = "" # 配偶地位评估
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post_marriage_growth: str = "" # 婚后成长评估
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# 详细发现
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all_indicators: List[SpouseStatusIndicator] = field(default_factory=list)
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# 案例参考
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case_study: str = ""
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# 叙事
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narrative: str = ""
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class SpouseStatusYogaDetector:
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"""高地位配偶Yoga检测引擎"""
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def __init__(self):
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self.sign_lords = SIGN_LORDS
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self.house7_signs = HOUSE7_SIGNS
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def analyze(self, chart_data: Dict, d9_data: Optional[Dict] = None) -> SpouseStatusAnalysis:
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"""
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分析高地位配偶Yoga
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Args:
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chart_data: D1星盘数据
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d9_data: D9星盘数据（可选）
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Returns:
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SpouseStatusAnalysis对象
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"""
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planets = chart_data.get("planets", {})
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asc_sign = chart_data.get("ascendant", {}).get("sign", "")
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# Step 1: 原则1 — 7宫 vs Lagna力量比较
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p1 = self._check_principle1(planets, asc_sign)
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# Step 2: 原则2 — D9中7主星Rajyoga
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p2 = self._check_principle2(d9_data, asc_sign)
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# Step 3: 原则3 — 7主星在Upachaya
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p3 = self._check_principle3(planets, asc_sign)
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# Step 4: 原则4 — 从7宫起算的Upachaya被占据
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p4 = self._check_principle4(planets, asc_sign)
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# 创建分析对象
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analysis = SpouseStatusAnalysis(
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principle1=p1,
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principle2=p2,
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principle3=p3,
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principle4=p4,
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)
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analysis.all_indicators = [p1, p2, p3, p4]
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# Step 5: 综合评估
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self._comprehensive_assessment(analysis)
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# Step 6: 生成叙事
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analysis.narrative = self._generate_narrative(analysis, asc_sign)
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return analysis
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def _check_principle1(self, planets: Dict, asc_sign: str) -> SpouseStatusIndicator:
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"""
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原则1: 7宫和7主星必须比Lagna和Lagna主星更强
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"""
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indicator = SpouseStatusIndicator(
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indicator_type="principle1",
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description="7宫和7主星强于Lagna和Lagna主星",
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present=False,
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strength=0.0,
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)
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# 获取Lagna主星
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lagna_lord = self.sign_lords.get(asc_sign, "")
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lagna_lord_data = planets.get(lagna_lord, {})
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# 获取7宫星座和主星
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house7_sign = self.house7_signs.get(asc_sign, "")
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house7_lord = self.sign_lords.get(house7_sign, "")
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house7_lord_data = planets.get(house7_lord, {})
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if not isinstance(lagna_lord_data, dict) or not isinstance(house7_lord_data, dict):
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indicator.evidence.append("缺少行星数据")
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return indicator
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# 比较力量（简化：比较庙旺状态）
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lagna_dignity = lagna_lord_data.get("dignity", "")
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house7_dignity = house7_lord_data.get("dignity", "")
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dignity_scores = {
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"exalted": 4, "own": 3, "friendly": 2,
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"neutral": 1, "enemy": 0, "debilitated": -1,
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}
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lagna_score = dignity_scores.get(lagna_dignity, 0)
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house7_score = dignity_scores.get(house7_dignity, 0)
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# 7主星位置
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house7_lord_house = house7_lord_data.get("house", 0)
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# 如果7主星在角宫或三方宫，增强力量
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if house7_lord_house in [1, 4, 7, 10, 5, 9]:
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house7_score += 1
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# 如果7主星受Yogakaraka相位
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# 简化：检查是否有吉星相位
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# ...
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indicator.present = house7_score > lagna_score
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indicator.strength = min(max((house7_score - lagna_score + 2) / 6, 0), 1)
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if indicator.present:
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indicator.evidence.append(f"7主星{house7_lord}力量({house7_score}) > Lagna主星{lagna_lord}力量({lagna_score})")
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if house7_dignity in ["exalted", "own"]:
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indicator.evidence.append(f"7主星处于{house7_dignity}状态")
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else:
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indicator.evidence.append(f"7主星力量({house7_score}) 未超过 Lagna主星({lagna_score})")
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return indicator
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def _check_principle2(self, d9_data: Optional[Dict], asc_sign: str) -> SpouseStatusIndicator:
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"""
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原则2: D9中7主星存在Rajyoga
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"""
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indicator = SpouseStatusIndicator(
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indicator_type="principle2",
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description="Navamsa (D9) 中7主星存在Rajyoga",
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present=False,
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strength=0.0,
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)
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if not d9_data:
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indicator.evidence.append("缺少D9数据")
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return indicator
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d9_planets = d9_data.get("planets", {})
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d9_asc = d9_data.get("ascendant", {}).get("sign", asc_sign)
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# D9的7宫
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d9_house7_sign = self.house7_signs.get(d9_asc, "")
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d9_house7_lord = self.sign_lords.get(d9_house7_sign, "")
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d9_7lord_data = d9_planets.get(d9_house7_lord, {})
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if not isinstance(d9_7lord_data, dict):
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indicator.evidence.append("D9中7主星数据缺失")
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return indicator
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# 简化Rajyoga检测：检查7主星是否在Kendra/Kona
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d9_7lord_house = d9_7lord_data.get("house", 0)
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if d9_7lord_house in [1, 4, 7, 10, 5, 9]:
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indicator.present = True
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indicator.strength = 0.7
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indicator.evidence.append(f"D9中7主星{d9_house7_lord}位于{d9_7lord_house}宫（角宫/三方宫）")
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# 检查是否有吉星合相或相位
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# ...
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return indicator
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def _check_principle3(self, planets: Dict, asc_sign: str) -> SpouseStatusIndicator:
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"""
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原则3: 7主星位于Upachaya宫（成长宫）
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"""
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indicator = SpouseStatusIndicator(
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indicator_type="principle3",
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description="7主星位于Upachaya宫（成长宫）",
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present=False,
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strength=0.0,
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)
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house7_sign = self.house7_signs.get(asc_sign, "")
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house7_lord = self.sign_lords.get(house7_sign, "")
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house7_lord_data = planets.get(house7_lord, {})
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if not isinstance(house7_lord_data, dict):
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return indicator
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lord_house = house7_lord_data.get("house", 0)
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# Upachaya宫: 3, 6, 10, 11
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if lord_house in [3, 6, 10, 11]:
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indicator.present = True
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indicator.strength = 0.8
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indicator.evidence.append(f"7主星{house7_lord}位于Upachaya宫第{lord_house}宫")
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else:
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indicator.evidence.append(f"7主星位于第{lord_house}宫，非Upachaya宫")
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return indicator
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def _check_principle4(self, planets: Dict, asc_sign: str) -> SpouseStatusIndicator:
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"""
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原则4: 从7宫起算的Upachaya宫被行星占据
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"""
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indicator = SpouseStatusIndicator(
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indicator_type="principle4",
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description="从7宫起算的Upachaya宫被行星占据",
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present=False,
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strength=0.0,
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)
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# 从7宫起算的Upachaya: 7+2=9, 7+5=12, 7+9=16->4, 7+10=17->5
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# 即: 从7宫起算的3宫=9宫, 6宫=12宫, 10宫=4宫, 11宫=5宫
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# 等等，Upachaya是3/6/10/11，从7宫起算:
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# 3rd from 7 = 9th house
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# 6th from 7 = 12th house
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# 10th from 7 = 4th house
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# 11th from 7 = 5th house
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upachaya_from_7 = [9, 12, 4, 5]
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occupied_count = 0
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total_strength = 0
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for house in upachaya_from_7:
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# 找到在这个宫位的行星
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house_planets = []
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for pname, pdata in planets.items():
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if isinstance(pdata, dict) and pdata.get("house") == house:
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house_planets.append(pname)
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if house_planets:
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occupied_count += 1
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# 评估占据行星的力量
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for p in house_planets:
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pdata = planets.get(p, {})
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if isinstance(pdata, dict):
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dignity = pdata.get("dignity", "")
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if dignity in ["exalted", "own"]:
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total_strength += 0.3
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elif dignity in ["friendly"]:
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total_strength += 0.2
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else:
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total_strength += 0.1
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indicator.evidence.append(f"第{house}宫被{p}占据 ({dignity})")
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if occupied_count > 0:
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indicator.present = True
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indicator.strength = min(total_strength + occupied_count * 0.15, 1.0)
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return indicator
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def _comprehensive_assessment(self, analysis: SpouseStatusAnalysis):
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"""综合评估"""
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# 计算总分
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total_strength = sum(i.strength for i in analysis.all_indicators if i.present)
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present_count = sum(1 for i in analysis.all_indicators if i.present)
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analysis.overall_score = min(total_strength / 2, 1.0) # 归一化
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# 结论
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if present_count >= 3:
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analysis.verdict = "极强的『嫁给高地位配偶』Yoga"
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analysis.spouse_status = "配偶社会地位显著高于命主"
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analysis.post_marriage_growth = "婚后命运将发生巨大跃迁，获得权力和地位"
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elif present_count == 2:
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analysis.verdict = "较强的婚后提升潜力"
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analysis.spouse_status = "配偶有一定社会地位或增长潜力"
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analysis.post_marriage_growth = "婚后有显著成长和进步"
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elif present_count == 1:
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analysis.verdict = "有婚后成长的迹象"
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analysis.spouse_status = "配偶背景尚可"
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analysis.post_marriage_growth = "婚后有一定改善"
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else:
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analysis.verdict = "无明显高地位配偶Yoga"
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analysis.spouse_status = "配偶背景与命主相当"
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analysis.post_marriage_growth = "婚后变化不显著"
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# 案例
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analysis.case_study = "索尼娅·甘地案例：巨蟹座上升，土星7主受Yogakaraka火星相位，形成Rajyoga。婚后从普通意大利女性跃升为印度最有权势的女性之一。"
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def _generate_narrative(self, analysis: SpouseStatusAnalysis, asc_sign: str) -> str:
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"""生成叙事"""
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parts = []
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parts.append("### 高地位配偶与婚后命运转变分析\n")
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parts.append(f"基于四大核心原则的综合评估。\n")
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# 四大原则
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parts.append("\n#### 四大核心原则检测\n")
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for i, ind in enumerate(analysis.all_indicators, 1):
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status = "✅" if ind.present else "❌"
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parts.append(f"{status} **原则{i}**: {ind.description}")
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if ind.evidence:
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parts.append(f" 证据: {'; '.join(ind.evidence[:2])}")
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parts.append("")
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# 结论
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parts.append(f"\n#### 综合结论\n")
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parts.append(f"**{analysis.verdict}**\n")
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parts.append(f"\n配偶地位评估: {analysis.spouse_status}\n")
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parts.append(f"婚后成长评估: {analysis.post_marriage_growth}\n")
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parts.append(f"综合得分: {analysis.overall_score:.0%}\n")
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# 案例
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if analysis.case_study:
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parts.append(f"\n#### 参考案例\n")
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parts.append(f"{analysis.case_study}\n")
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# 注意事项
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parts.append(f"\n#### 重要提醒\n")
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parts.append("- 第七宫强大仅代表配偶出生背景好，不代表对方个人能力出众\n")
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parts.append("- 宫主星代表后天潜质和个人能力\n")
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parts.append("- 对方家庭好不代表夫妻关系顺利或你能获得幸福\n")
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parts.append("- 以上方法仅用于查看婚姻中物质繁荣的情况\n")
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return "\n".join(parts)
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def to_dict(self, analysis: SpouseStatusAnalysis) -> Dict:
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"""转换为字典"""
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return {
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"principles": [
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{
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"type": i.indicator_type,
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"description": i.description,
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"present": i.present,
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"strength": round(i.strength, 2),
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"evidence": i.evidence,
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}
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for i in analysis.all_indicators
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],
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"overall_score": round(analysis.overall_score, 2),
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"verdict": analysis.verdict,
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"spouse_status": analysis.spouse_status,
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"post_marriage_growth": analysis.post_marriage_growth,
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"case_study": analysis.case_study,
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"narrative": analysis.narrative,
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}
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# ============================================================================
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# 便捷函数
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# ============================================================================
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def analyze_spouse_status(chart_data: Dict, d9_data: Optional[Dict] = None) -> Dict:
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"""便捷函数"""
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detector = SpouseStatusYogaDetector()
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analysis = detector.analyze(chart_data, d9_data)
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return detector.to_dict(analysis)
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# ============================================================================
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# CLI 调试
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# ============================================================================
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if __name__ == "__main__":
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# 索尼娅·甘地模拟数据（简化）
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mock_chart = {
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"ascendant": {"sign": "Cancer"},
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"planets": {
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"Moon": {"sign": "Cancer", "house": 1, "dignity": "own"}, # Lagna主星
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"Saturn": {"sign": "Capricorn", "house": 7, "dignity": "own"}, # 7主星
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"Mars": {"sign": "Sagittarius", "house": 6, "dignity": "friendly"}, # Yogakaraka
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},
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||
}
|
||
|
||
mock_d9 = {
|
||
"ascendant": {"sign": "Aquarius"},
|
||
"planets": {
|
||
"Sun": {"sign": "Aquarius", "house": 1, "dignity": "neutral"},
|
||
"Saturn": {"sign": "Scorpio", "house": 10, "dignity": "neutral"},
|
||
},
|
||
}
|
||
|
||
print("=" * 60)
|
||
print("高地位配偶与婚后成长Yoga检测")
|
||
print("=" * 60)
|
||
|
||
result = analyze_spouse_status(mock_chart, mock_d9)
|
||
print(result["narrative"])
|
||
print(f"\n综合得分: {result['overall_score']}")
|