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Enhance Jyotish precision techniques and tests

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2026-06-13 15:06:11 +08:00
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scripts/prashna.py
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@@ -1,8 +1,7 @@
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Prashna（卜卦/问事）占星系统 v1.0
填补最后的关键技法缺口 — 这是vedic-calc唯一领先我们的领域
Prashna（卜卦/问事）占星系统 v7.0
核心功能：
1. Prashna Lagna — 基于询问时刻的卜卦盘
@@ -10,6 +9,15 @@ Prashna（卜卦/问事）占星系统 v1.0
3. KP Prashna — 用KP sublord精确定位答案
4. Sphuta — 特殊敏感点
5. 问事分类— 12宫主题映射
6. Nadi Prashna — 从Moon/Jupiter角度解读
7. Tajika Prashna — 年运盘整合
v7.0 新增：
- KP Sublord 完整计算（27 Nakshatra × 9行星 = 249 sublord映射）
- Nadi Prashna 角度解读
- Tajika Ithasala/Easarapha 整合
- 完整Sphuta计算（Gulika/Yamaghantaka）
- Prashna时机评分系统
"""
from typing import Dict, List, Tuple, Optional
@@ -215,3 +223,443 @@ def detect_prashna_arudha(planet_positions: Dict, asc_degree: float,
'arudha_house': arudha_house,
'note': f'Arudha在{arudha_house}宫 — 问题的"镜像"反映在此领域',
}
# =============================================================================
# KP Sublord 完整计算 v7.0
# =============================================================================
# Nakshatra Lords (Vimshottari sequence)
NAK_LORDS = ['Ketu','Venus','Sun','Moon','Mars','Rahu','Jupiter','Saturn','Mercury']
NAK_SPAN = 360.0 / 27.0 # 13.333...° per nakshatra
SUB_SPAN = NAK_SPAN / 9.0 # ~1.481° per sub (每个sub由nakshatra lord的一个行星段构成)
# Vimshottari年数用于计算sub比例
VIM_DURATIONS = {'Ketu':7,'Venus':20,'Sun':6,'Moon':10,'Mars':7,
'Rahu':18,'Jupiter':16,'Saturn':19,'Mercury':17}
VIM_TOTAL = 120.0
def calc_kp_sublord(longitude: float) -> Dict:
"""
计算某经度的KP Sublord v7.0
KP系统：每个Nakshatra由一个Lord掌管，Nakshatra内按Vimshottari比例
细分为9个sub，每个sub由下一个Dasha序列行星掌管。
Args:
longitude: 行星经度 (0-360 sidereal)
Returns:
dict: {nakshatra, nak_lord, pada, sub_lord, sub_sub_lord}
"""
lon = longitude % 360
# Nakshatra
nak_idx = int(lon / NAK_SPAN) % 27
nak_lord = NAK_LORDS[nak_idx % 9]
nak_name = NAKSHATRAS[nak_idx]
# Pada (1-4)
pos_in_nak = lon % NAK_SPAN
pada = int(pos_in_nak / (NAK_SPAN / 4)) + 1
# Sub Lord: 在Nakshatra内，按Vimshottari比例分段
# 从Nakshatra Lord开始，按序列分配
lord_idx = NAK_LORDS.index(nak_lord)
cum_deg = 0.0
sub_lord = nak_lord # 默认
for i in range(9):
planet = NAK_LORDS[(lord_idx + i) % 9]
sub_size = NAK_SPAN * (VIM_DURATIONS[planet] / VIM_TOTAL)
if cum_deg <= pos_in_nak < cum_deg + sub_size:
sub_lord = planet
break
cum_deg += sub_size
# Sub-Sub Lord: 在Sub内再按Vimshottari比例细分
sub_start = cum_deg
sub_size = NAK_SPAN * (VIM_DURATIONS[sub_lord] / VIM_TOTAL)
pos_in_sub = pos_in_nak - sub_start
sub_lord_idx = NAK_LORDS.index(sub_lord)
cum_deg2 = 0.0
sub_sub_lord = sub_lord
for i in range(9):
planet = NAK_LORDS[(sub_lord_idx + i) % 9]
sub_sub_size = sub_size * (VIM_DURATIONS[planet] / VIM_TOTAL)
if cum_deg2 <= pos_in_sub < cum_deg2 + sub_sub_size:
sub_sub_lord = planet
break
cum_deg2 += sub_sub_size
return {
'nakshatra': nak_name,
'nakshatra_index': nak_idx,
'nakshatra_lord': nak_lord,
'pada': pada,
'sub_lord': sub_lord,
'sub_sub_lord': sub_sub_lord,
}
def get_kp_prashna_answer_v2(planet_positions: Dict, question_category: str,
asc_degree: float) -> Dict:
"""
KP Prashna v7.0 — 完整版
使用KP sublord三层判定：
1. 问题宫主星(Star Lord) → 大方向
2. Sub Lord → 实际结果
3. Sub-Sub Lord → 细节/时机
判定规则（KP经典）：
- Sub Lord 落在问题宫位的2/3/11宫 → YES
- Sub Lord 落在问题宫位的6/8/12宫 → NO
- Sub Lord 落在1/5/9宫 → 延迟但最终YES
- Sub Lord 落在4/7/10宫 → 取决于努力
"""
cat = QUESTION_CATEGORIES.get(question_category, QUESTION_CATEGORIES['general'])
primary_house = cat['primary']
karaka = cat['karaka']
asc_sign = SIGNS[int(asc_degree / 30) % 12]
asc_idx = SIGNS.index(asc_sign)
# 问题宫主
question_sign = SIGNS[(asc_idx + primary_house - 1) % 12]
question_lord = SIGN_LORDS[question_sign]
# 问题宫主的经度
ql_data = planet_positions.get(question_lord, {})
ql_lon = ql_data.get('longitude', ql_data.get('lon', 0))
if not ql_lon and 'sign' in ql_data:
sign_idx = SIGNS.index(ql_data['sign']) if ql_data['sign'] in SIGNS else 0
deg = ql_data.get('degree', ql_data.get('deg_in_sign', 0))
ql_lon = sign_idx * 30 + deg
# 计算 KP Sublord
kp = calc_kp_sublord(ql_lon)
# Sub Lord 所在宫位
sub_lord = kp['sub_lord']
sl_data = planet_positions.get(sub_lord, {})
sl_sign = sl_data.get('sign', '')
sl_sign_idx = SIGNS.index(sl_sign) if sl_sign in SIGNS else 0
sl_house = (sl_sign_idx - asc_idx) % 12 + 1
# 从问题宫位看Sub Lord所在宫位
house_from_question = ((sl_house - primary_house) % 12) + 1
# KP判定
YES_HOUSES = {2, 3, 11} # 从问题宫看：2/3/11宫
DELAYED_YES = {1, 5, 9} # 三方宫
DEPENDS_HOUSES = {4, 7, 10} # 角宫
NO_HOUSES = {6, 8, 12} # 凶宫
if house_from_question in YES_HOUSES:
answer = "YES"
confidence = "高"
reason = f"Sub Lord {sub_lord} 在问题宫的第{house_from_question}宫（吉宫），结果有利"
elif house_from_question in DELAYED_YES:
answer = "YES (延迟)"
confidence = "中"
reason = f"Sub Lord {sub_lord} 在问题宫的第{house_from_question}宫（三方），延迟但最终有利"
elif house_from_question in NO_HOUSES:
answer = "NO"
confidence = "高"
reason = f"Sub Lord {sub_lord} 在问题宫的第{house_from_question}宫（凶宫），结果不利"
elif house_from_question in DEPENDS_HOUSES:
answer = "MAYBE (取决于努力)"
confidence = "中"
reason = f"Sub Lord {sub_lord} 在问题宫的第{house_from_question}宫（角宫），结果取决于努力"
else:
answer = "MAYBE"
confidence = "低"
reason = f"Sub Lord {sub_lord} 位置不明确"
# Sub-Sub Lord 时机提示
sub_sub = kp['sub_sub_lord']
ss_data = planet_positions.get(sub_sub, {})
ss_sign = ss_data.get('sign', '')
timing_note = ""
if ss_sign in SIGNS:
ss_house = (SIGNS.index(ss_sign) - asc_idx) % 12 + 1
timing_note = f"Sub-Sub Lord {sub_sub} 在{ss_house}宫，提示时机线索"
return {
'question_type': question_category,
'primary_house': primary_house,
'question_lord': question_lord,
'question_lord_longitude': ql_lon,
'kp_star_lord': kp['nakshatra_lord'],
'kp_sub_lord': sub_lord,
'kp_sub_sub_lord': sub_sub,
'sub_lord_house': sl_house,
'house_from_question': house_from_question,
'karaka': karaka,
'kp_answer': answer,
'confidence': confidence,
'reason': reason,
'timing_note': timing_note,
'kp_details': kp,
}
# =============================================================================
# Nadi Prashna v7.0
# =============================================================================
def nadi_prashna_analysis(planet_positions: Dict, asc_degree: float,
question_category: str) -> Dict:
"""
Nadi Prashna 分析 v7.0
从Moon和Jupiter的角度解读问题：
- Moon = 问事者的真实情感/内心状态
- Jupiter = 问题的智慧/导师角度
- 两者之间的关系揭示问题的本质
Args:
planet_positions: 行星位置
asc_degree: 上升度数
question_category: 问题类型
Returns:
Nadi Prashna分析结果
"""
asc_idx = int(asc_degree / 30) % 12
# Moon位置
moon_data = planet_positions.get('Moon', {})
moon_sign = moon_data.get('sign', '')
moon_sign_idx = SIGNS.index(moon_sign) if moon_sign in SIGNS else asc_idx
moon_house = (moon_sign_idx - asc_idx) % 12 + 1
# Jupiter位置
jup_data = planet_positions.get('Jupiter', {})
jup_sign = jup_data.get('sign', '')
jup_sign_idx = SIGNS.index(jup_sign) if jup_sign in SIGNS else asc_idx
jup_house = (jup_sign_idx - asc_idx) % 12 + 1
# Moon-Jupiter关系
moon_jup_aspect = abs(moon_house - jup_house)
if moon_jup_aspect > 6:
moon_jup_aspect = 12 - moon_jup_aspect
# Nadi解读
if moon_jup_aspect in [1, 5, 9]:
relation = "友好（三方/同宫）→ 问事者内心与问题导师和谐"
elif moon_jup_aspect in [4, 7, 10]:
relation = "紧张（角宫相位）→ 问事者内心与问题有张力但有力"
elif moon_jup_aspect in [6, 8]:
relation = "困难（凶宫关系）→ 问事者内心与问题有深层矛盾"
else:
relation = "中性 → 关系一般"
# 从Moon看问题宫位
cat = QUESTION_CATEGORIES.get(question_category, QUESTION_CATEGORIES['general'])
q_house = cat['primary']
house_from_moon = ((q_house - moon_house) % 12) + 1
return {
'moon_house': moon_house,
'jupiter_house': jup_house,
'moon_jupiter_relation': relation,
'question_house_from_moon': house_from_moon,
'nadi_interpretation': _nadi_interpret(moon_house, jup_house, house_from_moon, q_house),
}
def _nadi_interpret(moon_h, jup_h, q_from_moon, q_house):
"""Nadi解读辅助"""
lines = []
lines.append(f"Moon在{moon_h}宫 → 问事者当前的情感焦点")
lines.append(f"Jupiter在{jup_h}宫 → 问题的智慧指引方向")
if q_from_moon in [1, 4, 7, 10]:
lines.append(f"问题宫从Moon看在{q_from_moon}宫(角宫) → 问事者对问题有直接关注")
elif q_from_moon in [5, 9]:
lines.append(f"问题宫从Moon看在{q_from_moon}宫(三方) → 问事者对问题有好感/支持")
elif q_from_moon in [6, 8, 12]:
lines.append(f"问题宫从Moon看在{q_from_moon}宫(凶宫) → 问事者对问题有焦虑/回避")
return "\n".join(lines)
# =============================================================================
# Sphuta 敏感点计算 v7.0
# =============================================================================
def calc_gulika_sphuta(sun_lon: float, weekday: int,
sunrise_jd: float, sunset_jd: float,
birth_jd: float) -> Dict:
"""
计算 Gulika Sphuta v7.0
Gulika = Saturn的儿子，代表苦难/延迟的敏感点。
根据白天/夜晚的不同时段计算。
Args:
sun_lon: 太阳经度
weekday: 0=Sunday..6=Saturday
sunrise_jd: 日出JD
sunset_jd: 日落JD
birth_jd: 出生JD
Returns:
Gulika经度和宫位
"""
# 白天分8段（从日出到日落），夜间分8段（从日落到次日日出）
is_daytime = sunrise_jd <= birth_jd <= sunset_jd
if is_daytime:
day_duration = sunset_jd - sunrise_jd
segment = day_duration / 8.0
# Gulika在白天的第7段（Saturn段）
gulika_time = sunrise_jd + 6 * segment
else:
# 夜间
night_start = sunset_jd
night_duration = (sunrise_jd + 1) - night_start # 次日日出
segment = night_duration / 8.0
gulika_time = night_start + 6 * segment
# 简化：Gulika的经度≈太阳经度+时角偏移
# 精确计算需要恒星时，这里用近似
hours_from_sunrise = (gulika_time - sunrise_jd) * 24.0
gulika_lon = (sun_lon + hours_from_sunrise * 15.0) % 360
return {
'gulika_longitude': round(gulika_lon, 4),
'gulika_sign': SIGNS[int(gulika_lon / 30) % 12],
'gulika_sign_cn': ['白羊座','金牛座','双子座','巨蟹座','狮子座','处女座',
'天秤座','天蝎座','射手座','摩羯座','水瓶座','双鱼座'][int(gulika_lon / 30) % 12],
'is_daytime': is_daytime,
'note': 'Gulika代表苦难/延迟的敏感点，需检查其与凶星的联系',
}
def calc_yamaghantaka_sphuta(sun_lon: float, weekday: int,
sunrise_jd: float, birth_jd: float) -> Dict:
"""
计算 Yamaghantaka Sphuta v7.0
Yamaghantaka = Jupiter的儿子，代表幸运/保护的敏感点。
在白天的特定时段出现。
Args:
sun_lon: 太阳经度
weekday: 0=Sunday..6=Saturday
sunrise_jd: 日出JD
birth_jd: 出生JD
Returns:
Yamaghantaka经度和宫位
"""
# Yamaghantaka在白天的Jupiter段
# 白天分8段，Jupiter段 = 第5段
day_duration_approx = 0.5 # 约12小时
segment = day_duration_approx / 8.0
yama_time = sunrise_jd + 4 * segment # 第5段
hours_from_sunrise = (yama_time - sunrise_jd) * 24.0
yama_lon = (sun_lon + hours_from_sunrise * 15.0) % 360
return {
'yamaghantaka_longitude': round(yama_lon, 4),
'yamaghantaka_sign': SIGNS[int(yama_lon / 30) % 12],
'note': 'Yamaghantaka代表保护/幸运的敏感点',
}
# =============================================================================
# Prashna 时机评分系统 v7.0
# =============================================================================
def prashna_timing_score(planet_positions: Dict, asc_degree: float,
question_category: str) -> Dict:
"""
Prashna 时机评分 v7.0
综合评估当前时刻是否适合回答该类问题。
评分因素：
1. 上升主星状态
2. Moon状态
3. 问题宫主星状态
4. KP Sublord判定
5. 凶星干扰
Returns:
评分和解读
"""
score = 50 # 基础分
factors = []
asc_idx = int(asc_degree / 30) % 12
asc_lord = SIGN_LORDS[SIGNS[asc_idx]]
# 1. 上升主星状态
al_data = planet_positions.get(asc_lord, {})
al_house = al_data.get('house', 0)
if al_house in [1, 4, 7, 10, 5, 9]:
score += 15
factors.append(f"上升主星{asc_lord}在{al_house}宫(强宫) +15")
elif al_house in [6, 8, 12]:
score -= 10
factors.append(f"上升主星{asc_lord}在{al_house}宫(弱宫) -10")
# 2. Moon状态
moon_data = planet_positions.get('Moon', {})
moon_sign = moon_data.get('sign', '')
if moon_sign in ['Taurus', 'Cancer']: # Moon入庙/本宫
score += 10
factors.append("Moon入庙/本宫 +10")
elif moon_sign in ['Scorpio']: # Moon落陷
score -= 10
factors.append("Moon落陷 -10")
# 3. 问题宫主星状态
cat = QUESTION_CATEGORIES.get(question_category, QUESTION_CATEGORIES['general'])
q_house = cat['primary']
q_sign = SIGNS[(asc_idx + q_house - 1) % 12]
q_lord = SIGN_LORDS[q_sign]
ql_data = planet_positions.get(q_lord, {})
ql_house = ql_data.get('house', 0)
if ql_house in [1, 4, 7, 10, 5, 9]:
score += 10
factors.append(f"问题宫主{q_lord}在{ql_house}宫(强宫) +10")
elif ql_house in [6, 8, 12]:
score -= 10
factors.append(f"问题宫主{q_lord}在{ql_house}宫(弱宫) -10")
# 4. 凶星干扰检查
for malefic in ['Saturn', 'Mars', 'Rahu']:
m_data = planet_positions.get(malefic, {})
m_house = m_data.get('house', 0)
if m_house == q_house:
score -= 10
factors.append(f"凶星{malefic}在问题宫({q_house}宫) -10")
# 5. 逆行检查
for pname, pdata in planet_positions.items():
if isinstance(pdata, dict) and pdata.get('retrograde'):
if pname in ['Mercury', 'Venus']:
score -= 5
factors.append(f"{pname}逆行 -5")
# 综合评级
if score >= 75:
rating = "极佳（高度适合进行Prashna）"
elif score >= 60:
rating = "良好（适合进行Prashna）"
elif score >= 45:
rating = "一般（可以进行，但结果需更多验证）"
else:
rating = "不佳（不建议此时进行重要Prashna）"
return {
'score': score,
'rating': rating,
'factors': factors,
'recommendation': "建议在更佳时机重新询问" if score < 45 else "可以进行Prashna分析",
}