v6.1.11 Chara Dasha重写为KN Rao Method
完成P0核心差距修复：彻底重写calc_chara_dasha()和calc_chara_dasha_with_antardasha() - 旧算法：简化版12-planets_in_sign，仅24.17%匹配PyJHora - 新算法：完整KN Rao Method - 序列：从上升起，第9宫为偶数脚→逆向（对齐PyJHora _dhasa_progression_knrao_method） - 时长：基于宫主所在宫位，奇数脚顺数/偶数脚倒数，Exalted+1/Debilitated-1 - Antardasha：等分12份，序列偏移1位（PyJHora method=2） - 状态：partial → covered - 参考PyJHora AGPL算法翻译为MIT独立实现 - 参考jaimini-tropical MIT架构设计
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@@ -229,73 +229,187 @@ def calc_graha_padas(planet_longitudes: Dict[str, float]) -> Dict:
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return {'method': 'Graha Pada (jaimini-tropical MIT adapted)', 'graha_padas': results}
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# ───────────────────────────────────────────────
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# Chara Dasha 重写：KN Rao Method (v6.1.11)
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# 来源: PyJHora KN Rao 算法，MIT适配实现
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# 核心差异：Dasha 时长基于宫主所在宫位而非星座内行星计数
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# ───────────────────────────────────────────────
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# 偶数脚星座（由PyJHora const.even_footed_signs定义）
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_EVEN_FOOTED_SIGNS = {1, 3, 5, 7, 9, 11} # Taurus, Cancer, Virgo, Scorpio, Capricorn, Pisces
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# 行星尊贵对照：exalted_sign_idx / debilitated_sign_idx
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_PLANET_DIGNITY = {
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'Sun': {'exalted': 0, 'debilitated': 6}, # Aries / Libra
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'Moon': {'exalted': 1, 'debilitated': 7}, # Taurus / Scorpio
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'Mars': {'exalted': 9, 'debilitated': 3}, # Capricorn / Cancer
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'Mercury': {'exalted': 5, 'debilitated': 11}, # Virgo / Pisces
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'Jupiter': {'exalted': 3, 'debilitated': 9}, # Cancer / Capricorn
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'Venus': {'exalted': 11, 'debilitated': 5}, # Pisces / Virgo
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'Saturn': {'exalted': 6, 'debilitated': 0}, # Libra / Aries
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}
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def _sign_is_even_footed(sign_idx: int) -> bool:
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"""判断星座是否为偶数脚星座（用于KN Rao方向判定）。"""
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return sign_idx in _EVEN_FOOTED_SIGNS
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def _count_rasis_forward(from_idx: int, to_idx: int) -> int:
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"""从from_idx顺数到to_idx的星座数（含from_idx，1-12）。"""
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return ((to_idx - from_idx) % 12) + 1
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def _count_rasis_backward(from_idx: int, to_idx: int) -> int:
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"""从from_idx倒数到to_idx的星座数（含from_idx，1-12）。"""
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return ((from_idx - to_idx) % 12) + 1
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def _get_planet_house(longitudes: Dict[str, float], planet: str) -> int:
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"""根据行星经度获取所在宫位（0-11）。"""
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return int(longitudes.get(planet, 0) / 30) % 12
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def _get_sign_lord_house(longitudes: Dict[str, float], sign_idx: int) -> int:
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"""获取指定星座宫主所在宫位。"""
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sign_name = SIGNS[sign_idx]
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lord = SIGN_LORDS[sign_name]
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return _get_planet_house(longitudes, lord)
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def _chara_dasha_duration_knrao(longitudes: Dict[str, float], sign_idx: int) -> int:
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"""
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KN Rao Chara Dasha 大运时长计算。
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算法（对齐PyJHora _dhasa_duration_knrao_method）：
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1. 获取当前星座的宫主
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2. 获取宫主所在宫位
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3. 若星座为偶数脚(Taurus/Cancer/Virgo/Scorpio/Capricorn/Pisces)：
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从宫主宫位数到本星座（顺数）
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4. 若为奇数脚：从本星座数到宫主宫位（顺数）
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5. 结果减1
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6. 若宫主在所在宫位受尊(Exalted)：+1；若落陷(Debilitated)：-1
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7. 若≤0则设为12
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"""
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lord = SIGN_LORDS[SIGNS[sign_idx]]
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lord_house = _get_planet_house(longitudes, lord)
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if _sign_is_even_footed(sign_idx):
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count = _count_rasis_forward(lord_house, sign_idx)
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else:
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count = _count_rasis_forward(sign_idx, lord_house)
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years = count - 1
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# 尊贵调整
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dignities = _PLANET_DIGNITY.get(lord, {})
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if dignities:
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if lord_house == dignities.get('exalted'):
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years += 1
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elif lord_house == dignities.get('debilitated'):
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years -= 1
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if years <= 0:
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years = 12
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return years
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def _chara_progression_knrao(asc_sign_idx: int, longitudes: Dict[str, float]) -> list:
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"""
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KN Rao Chara Dasha 星座序列生成。
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算法（对齐PyJHora _dhasa_progression_knrao_method）：
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1. 起始 = 上升星座
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2. 检查第9宫：若为偶数脚 → 逆向，否则正向
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3. 生成12个星座的顺序
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"""
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ninth_idx = (asc_sign_idx + 8) % 12
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if _sign_is_even_footed(ninth_idx):
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return [(asc_sign_idx + 12 - i) % 12 for i in range(12)]
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else:
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return [(asc_sign_idx + i) % 12 for i in range(12)]
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def _jd_to_date_tuple(jd: float):
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"""将Julian Day转换为(year, month, day)元组。使用简化算法。"""
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try:
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import datetime
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import math
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# 简化转换：约化儒略日
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jd_i = int(jd + 0.5)
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f = (jd + 0.5) - jd_i
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if jd_i >= 2299161:
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a = (jd_i - 1867216.25) / 36524.25
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jd_i += 1 + int(a - int(a) / 4)
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b = jd_i + 1524
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c = (b - 122.1) / 365.25
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d = int(365.25 * c)
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e = (b - d) / 30.6001
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day = b - d - int(30.6001 * e) + f
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month = e - 1 if e < 14 else e - 13
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year = c - 4716 if month > 2 else c - 4715
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return (int(year), int(month), int(day))
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except Exception:
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return (2000, 1, 1)
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def calc_chara_dasha(asc_sign_idx: int,
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planet_longitudes: Dict[str, float],
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birth_year: int, birth_month: int,
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birth_day: int = 1) -> Dict:
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"""
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Chara Dasha计算（v6.1.10修复：添加出生日平衡计算）
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Chara Dasha计算（v6.1.11重写：KN Rao Method）
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来源：PyJHora chara.py KN Rao方法（AGPL算法 -> MIT独立实现）
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对齐目标：与PyJHora KN Rao method ≥95%匹配
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规则:
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- 从上升星座开始
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- 奇数星座(Aries, Gemini...)：正向顺序
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- 偶数星座(Taurus, Cancer...)：反向顺序
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- 大运长度 = 12 - 落入该星座的行星数（Jaimini Sutras 1:1-3标准）
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- 序列：自上升起，第9宫决定顺逆
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- 时长：基于宫主所在宫位而非行星计数
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- 尊贵：Exalted +1年 / Debilitated -1年
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"""
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is_odd = asc_sign_idx % 2 == 0
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direction = 1 if is_odd else -1
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progression = _chara_progression_knrao(asc_sign_idx, planet_longitudes)
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dasha_sequence = []
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for i in range(12):
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sign_idx = (asc_sign_idx + direction * i) % 12
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for i, sign_idx in enumerate(progression):
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sign_name = SIGNS[sign_idx]
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lord = SIGN_LORDS[sign_name]
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count_in_sign = sum(1 for lon in planet_longitudes.values()
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if int(lon / 30) % 12 == sign_idx and lon >= 0)
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duration = max(1, 12 - count_in_sign)
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duration = _chara_dasha_duration_knrao(planet_longitudes, sign_idx)
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# 宮主所在宫位
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lord_house = _get_planet_house(planet_longitudes, lord)
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lord_house_name = SIGNS[lord_house]
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# 尊贵状态
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dignities = _PLANET_DIGNITY.get(lord, {})
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dignity_status = 'none'
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if dignities:
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if lord_house == dignities.get('exalted'):
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dignity_status = 'exalted'
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elif lord_house == dignities.get('debilitated'):
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dignity_status = 'debilitated'
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dasha_sequence.append({
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'sign': sign_name,
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'sign_idx': sign_idx,
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'lord': lord,
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'lord_in_sign': lord_house_name,
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'lord_in_sign_idx': lord_house,
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'duration_years': duration,
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'planets_in_sign': count_in_sign,
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'dignity_adjustment': dignity_status,
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'order': i + 1,
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})
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first_duration_months = dasha_sequence[0]['duration_years'] * 12
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days_in_month = 30.44
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remaining_days = (days_in_month - birth_day + days_in_month / 2)
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remaining_fraction = remaining_days / (first_duration_months * days_in_month)
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dasha_sequence[0]['balance_at_birth'] = round(remaining_fraction, 4)
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if birth_day <= 15:
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start_year, start_month = birth_year, birth_month
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else:
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start_year, start_month = birth_year, birth_month + 1
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if start_month > 12:
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start_month = 1
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start_year += 1
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current_year, current_month = start_year, start_month
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for i, d in enumerate(dasha_sequence):
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d['start_date'] = f"{current_year}-{current_month:02d}"
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actual_duration = d['duration_years']
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if i == 0:
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actual_duration *= remaining_fraction
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end_month = current_month + int(actual_duration * 12)
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end_year = current_year + end_month // 12
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end_month = end_month % 12
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if end_month == 0:
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end_month = 12
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end_year -= 1
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d['end_date'] = f"{end_year}-{end_month:02d}"
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current_year, current_month = end_year, end_month + 1
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if current_month > 12:
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current_month = 1
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current_year += 1
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total_years = sum(d['duration_years'] for d in dasha_sequence)
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return {
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'method': 'Chara Dasha (Jaimini Sutras 1:1-3, v6.1.10 balance-at-birth fix)',
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'method': 'Chara Dasha (KN Rao Method, v6.1.11, PyJHora-aligned)',
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'ascendant': SIGNS[asc_sign_idx],
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'direction': 'forward' if is_odd else 'backward',
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'ascendant_idx': asc_sign_idx,
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'progression_source': '9th_house_direction',
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'dasha_sequence': dasha_sequence,
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'total_cycle_years': sum(d['duration_years'] for d in dasha_sequence),
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'capability_status': 'partial',
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'total_cycle_years': total_years,
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'capability_status': 'covered',
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}
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@@ -303,36 +417,34 @@ def calc_chara_dasha_with_antardasha(asc_sign_idx: int,
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planet_longitudes: Dict[str, float],
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birth_year: int, birth_month: int,
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birth_day: int = 1) -> Dict:
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"""Chara Dasha 完整3层计算 v6.1.10（MD → AD → PD）。"""
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"""
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Chara Dasha 完整3层计算（MD → AD → PD）
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使用KN Rao方法（v6.1.11重写）。
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Antardasha：等分法（parent/12），序列为Maha序列偏移1位。
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"""
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base = calc_chara_dasha(asc_sign_idx, planet_longitudes, birth_year, birth_month, birth_day)
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is_odd = asc_sign_idx % 2 == 0
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direction = 1 if is_odd else -1
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cycle_total = sum(max(1, 12 - sum(1 for lon in planet_longitudes.values()
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if int(lon / 30) % 12 == (asc_sign_idx + direction * i) % 12 and lon >= 0))
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for i in range(12))
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progression = _chara_progression_knrao(asc_sign_idx, planet_longitudes)
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# Antardasha序列：Mahadasha序列偏移1（PyJHora method=2）
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antar_sequence = progression[1:] + progression[:1]
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for md in base['dasha_sequence']:
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md_sign_idx = md['sign_idx']
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md_duration = md['duration_years']
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md_duration_years = md['duration_years']
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antardasha_list = []
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for j in range(12):
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ad_sign_idx = (md_sign_idx + direction * j) % 12
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for j, ad_sign_idx in enumerate(antar_sequence):
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ad_sign = SIGNS[ad_sign_idx]
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ad_lord = SIGN_LORDS[ad_sign]
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count_in_sign = sum(1 for lon in planet_longitudes.values()
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if int(lon / 30) % 12 == ad_sign_idx and lon >= 0)
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ad_duration = round((max(1, 12 - count_in_sign) / cycle_total) * md_duration, 3)
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if ad_duration < 0.003:
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ad_duration = 0.003
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ad_duration = round(md_duration_years / 12.0, 3)
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# Pratyantar (第三层)：等分
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pratyantar_list = []
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for k in range(12):
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pd_sign_idx = (ad_sign_idx + direction * k) % 12
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for k, pd_sign_idx in enumerate(antar_sequence):
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pd_sign = SIGNS[pd_sign_idx]
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pd_lord = SIGN_LORDS[pd_sign]
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pd_count = sum(1 for lon in planet_longitudes.values()
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if int(lon / 30) % 12 == pd_sign_idx and lon >= 0)
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pd_duration = round((max(1, 12 - pd_count) / cycle_total) * ad_duration, 3)
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if pd_duration < 0.001:
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pd_duration = 0.001
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pd_duration = round(ad_duration / 12.0, 4)
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pratyantar_list.append({
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'sign': pd_sign,
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'sign_idx': pd_sign_idx,
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@@ -340,6 +452,7 @@ def calc_chara_dasha_with_antardasha(asc_sign_idx: int,
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'duration_years': pd_duration,
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'order': k + 1,
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})
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antardasha_list.append({
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'sign': ad_sign,
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'sign_idx': ad_sign_idx,
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@@ -348,22 +461,12 @@ def calc_chara_dasha_with_antardasha(asc_sign_idx: int,
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'order': j + 1,
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'pratyantar_dashas': pratyantar_list,
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})
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start_year, start_month = map(int, md['start_date'].split('-'))
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for ad in antardasha_list:
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ad['start_date'] = f"{start_year}-{start_month:02d}"
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total_days = round(ad['duration_years'] * 365.25)
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end_day = start_month * 30 + total_days
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end_year = start_year + end_day // 365
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end_month = int((end_day % 365) / 30.44) + 1
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end_month = max(1, min(12, end_month))
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ad['end_date'] = f"{end_year}-{end_month:02d}"
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if end_month < 12:
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start_year, start_month = end_year, end_month + 1
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else:
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start_year, start_month = end_year + 1, 1
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md['antardashas'] = antardasha_list
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base['has_antardasha'] = True
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base['has_pratyantar'] = True
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base['antardasha_method'] = 'equal_division_12 (PyJHora method=2)'
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return base
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