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%
473 lines
20 KiB
Python
473 lines
20 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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technique_registry.py — 印度占星技法注册中心
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================================================
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让所有技法模块可独立开发、独立注册、独立验证。
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支持并行推进：路线A(6模块) + 路线B(全覆盖) + 路线C(Yoga精度)
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版本: v1.0 | 2026-06-07
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"""
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from typing import Dict, List, Callable, Any, Optional
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from dataclasses import dataclass, field
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from enum import Enum
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import inspect
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class TechniqueLevel(Enum):
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"""技法层级"""
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L1_COMPUTE = "L1" # 基础计算
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L2_STANDARD = "L2" # 标准技法
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L3_ADVANCED = "L3" # 高级技法
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L4_ESOTERIC = "L4" # 秘传技法
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class TechniqueCategory(Enum):
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"""技法分类"""
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NATAL = "natal" # 本命分析
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DASHA = "dasha" # 推运系统
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TRANSIT = "transit" # 流年系统
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MUHURTA = "muhurta" # 择时系统
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PRASHNA = "prashna" # 问事系统
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SYNASTRY = "synastry" # 合盘系统
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TAJIKA = "tajika" # Tajika年运
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READING = "reading" # 报告解读
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class TechniqueStatus(Enum):
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"""技法状态"""
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PLANNED = "planned" # 计划中
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WIP = "wip" # 开发中
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ALPHA = "alpha" # 内测
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BETA = "beta" # 公测
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STABLE = "stable" # 稳定
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DEPRECATED = "deprecated" # 废弃
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@dataclass
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class TechniqueSpec:
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"""技法规格定义"""
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# 基础信息
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name: str # 英文名称
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name_cn: str # 中文名称
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category: TechniqueCategory # 分类
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level: TechniqueLevel # 层级
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status: TechniqueStatus # 状态
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# 依赖关系
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depends_on: List[str] = field(default_factory=list) # 依赖的其他技法名
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requires_varga: List[int] = field(default_factory=list) # 需要的分盘
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# 接口定义
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input_schema: Dict[str, Any] = field(default_factory=dict) # 输入参数定义
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output_schema: Dict[str, Any] = field(default_factory=dict) # 输出结构定义
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# 实现信息
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module_path: str = "" # 实现模块路径
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compute_func: Optional[str] = None # 计算函数名
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interpret_func: Optional[str] = None # 解读函数名
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# 验证信息
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validation_cases: List[Dict] = field(default_factory=list) # 验证用例
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precision_target: Optional[float] = None # 精度目标(如F1)
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# 元数据
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description: str = "" # 描述
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references: List[str] = field(default_factory=list) # 参考文档
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author: str = "" # 作者
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version: str = "0.1.0" # 版本
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class TechniqueRegistry:
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"""技法注册中心 — 单例模式"""
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_instance = None
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def __new__(cls):
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if cls._instance is None:
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cls._instance = super().__new__(cls)
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cls._instance._techniques: Dict[str, TechniqueSpec] = {}
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cls._instance._compute_funcs: Dict[str, Callable] = {}
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cls._instance._interpret_funcs: Dict[str, Callable] = {}
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return cls._instance
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def register(self, spec: TechniqueSpec,
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compute_func: Optional[Callable] = None,
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interpret_func: Optional[Callable] = None) -> bool:
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"""
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注册一个技法
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Args:
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spec: 技法规格
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compute_func: 计算函数 (chart_data -> result)
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interpret_func: 解读函数 (result -> interpretation)
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Returns:
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bool: 是否注册成功
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"""
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name = spec.name
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# 检查依赖是否满足
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for dep in spec.depends_on:
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if dep not in self._techniques:
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print(f"[WARN] 技法 '{name}' 的依赖 '{dep}' 尚未注册")
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self._techniques[name] = spec
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if compute_func:
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self._compute_funcs[name] = compute_func
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if interpret_func:
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self._interpret_funcs[name] = interpret_func
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print(f"[REG] 已注册: {name} ({spec.name_cn}) [{spec.status.value}]")
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return True
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def get(self, name: str) -> Optional[TechniqueSpec]:
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"""获取技法规格"""
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return self._techniques.get(name)
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def compute(self, name: str, chart_data: Dict, **kwargs) -> Optional[Dict]:
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"""
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执行技法计算
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Args:
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name: 技法名称
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chart_data: 星盘数据 (标准格式)
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**kwargs: 额外参数
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Returns:
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计算结果，或None（未找到/未实现）
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"""
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spec = self._techniques.get(name)
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if not spec:
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print(f"[ERR] 技法 '{name}' 未注册")
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return None
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func = self._compute_funcs.get(name)
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if not func:
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print(f"[ERR] 技法 '{name}' 的计算函数未注册")
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return None
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try:
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# 自动注入chart_data
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sig = inspect.signature(func)
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if 'chart_data' in sig.parameters:
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return func(chart_data=chart_data, **kwargs)
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else:
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return func(**kwargs)
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except Exception as e:
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print(f"[ERR] 技法 '{name}' 计算失败: {e}")
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return {"error": str(e), "technique": name}
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def interpret(self, name: str, result: Dict, **kwargs) -> Optional[str]:
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"""执行技法解读"""
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func = self._interpret_funcs.get(name)
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if not func:
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return None
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try:
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return func(result=result, **kwargs)
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except Exception as e:
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print(f"[ERR] 技法 '{name}' 解读失败: {e}")
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return None
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def list_all(self, category: Optional[TechniqueCategory] = None,
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level: Optional[TechniqueLevel] = None,
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status: Optional[TechniqueStatus] = None) -> List[TechniqueSpec]:
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"""列出技法，支持过滤"""
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results = []
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for spec in self._techniques.values():
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if category and spec.category != category:
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continue
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if level and spec.level != level:
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continue
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if status and spec.status != status:
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continue
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results.append(spec)
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return sorted(results, key=lambda x: (x.category.value, x.level.value, x.name))
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def get_coverage_stats(self) -> Dict:
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"""获取覆盖度统计"""
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stats = {
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"total": len(self._techniques),
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"by_category": {},
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"by_level": {},
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"by_status": {},
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"coverage_pct": {}
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}
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for spec in self._techniques.values():
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cat = spec.category.value
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lvl = spec.level.value
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st = spec.status.value
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stats["by_category"][cat] = stats["by_category"].get(cat, 0) + 1
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stats["by_level"][lvl] = stats["by_level"].get(lvl, 0) + 1
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stats["by_status"][st] = stats["by_status"].get(st, 0) + 1
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# 计算各分类的stable覆盖率
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for cat in stats["by_category"]:
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total = stats["by_category"][cat]
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stable = sum(1 for s in self._techniques.values()
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if s.category.value == cat and s.status == TechniqueStatus.STABLE)
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stats["coverage_pct"][cat] = round(stable / total * 100, 1) if total > 0 else 0
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return stats
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def get_reading_chain(self, theme: str) -> List[str]:
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"""
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获取主题解读链 — 用于主题化报告
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Args:
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theme: 主题名称 (marriage/career/health/spiritual/wealth)
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Returns:
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按优先级排序的技法名称列表
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"""
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chains = {
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"marriage": [
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"darakaraka", # DK配偶解读
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"spouse_status_yoga", # 高地位配偶
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"navamsa_analysis", # D9分析
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"rtn_mapping", # RTN映射
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"vivah_saham", # 婚姻Saham
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"tithi_lord", # Tithi主星
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"mangal_dosha", # 火星凶星
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"synastry", # 合盘
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"upapada_lagna", # 婚姻上升
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],
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"career": [
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"amatyakaraka", # 事业象征
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"dashamsa_analysis", # D10分析
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"d10_yoga", # D10 Yoga
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"shadbala", # 力量评估
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"ashtakavarga", # 八点分
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"tajika_varshaphala", # 年运
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"dasha_career", # 事业推运
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],
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"health": [
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"curse_yoga", # 凶星合相
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"trimshamsa", # D30
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"shadbala", # 力量
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"avastha", # 行星状态
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"drekkena", # D3
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"dasha_health", # 健康推运
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],
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"wealth": [
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"dhana_yoga", # 财组合
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"hora_analysis", # D2
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"dhanakaraka", # 财富象征
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"vasihikamsa", # 特殊分
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"ashtakavarga", # 八点分
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],
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"spiritual": [
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"atmakaraka", # 灵魂象征
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"karakamsha", # AK星座
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"vimsamsa", # D20
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"chara_dasha", # Jaimini推运
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"nakshatra_deity", # 星宿神祇
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],
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}
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return chains.get(theme, [])
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# ============================================================================
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# 全局注册实例
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# ============================================================================
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registry = TechniqueRegistry()
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# ============================================================================
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# 便捷注册装饰器
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# ============================================================================
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def technique(spec: TechniqueSpec):
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"""技法注册装饰器
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用法:
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@technique(TechniqueSpec(
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name="darakaraka",
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name_cn="配偶象征星解读",
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category=TechniqueCategory.NATAL,
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level=TechniqueLevel.L3_ADVANCED,
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status=TechniqueStatus.WIP,
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description="Darakaraka深度解读",
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))
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def compute_darakaraka(chart_data, **kwargs):
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...
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"""
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def decorator(func):
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# 判断是计算函数还是解读函数
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if spec.compute_func is None:
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spec.compute_func = func.__name__
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registry.register(spec, compute_func=func)
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else:
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registry.register(spec, interpret_func=func)
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return func
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return decorator
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# ============================================================================
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# 现有技法批量注册（已有模块）
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# ============================================================================
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def _register_existing_techniques():
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"""注册引擎中已实现的技法"""
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existing = [
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# L1 基础计算
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TechniqueSpec("chart", "本命星盘", TechniqueCategory.NATAL,
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TechniqueLevel.L1_COMPUTE, TechniqueStatus.STABLE,
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module_path="jyotish_engine.py", compute_func="cmd_chart"),
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TechniqueSpec("varga", "分盘计算", TechniqueCategory.NATAL,
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TechniqueLevel.L1_COMPUTE, TechniqueStatus.STABLE,
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module_path="varga.py", compute_func="calc_all_vargas"),
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TechniqueSpec("dasha", "Vimshottari推运", TechniqueCategory.DASHA,
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TechniqueLevel.L1_COMPUTE, TechniqueStatus.STABLE,
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module_path="dasha_calculator.py", compute_func="calculate_mahadasha"),
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# L2 标准技法
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TechniqueSpec("yoga", "Yoga组合检测", TechniqueCategory.NATAL,
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TechniqueLevel.L2_STANDARD, TechniqueStatus.BETA,
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module_path="yoga_engine.py", compute_func="cmd_yoga",
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precision_target=0.95),
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TechniqueSpec("shadbala", "六重力量", TechniqueCategory.NATAL,
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TechniqueLevel.L2_STANDARD, TechniqueStatus.STABLE,
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module_path="shadbala.py", compute_func="calc_shadbala"),
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TechniqueSpec("ashtakavarga", "八点分", TechniqueCategory.NATAL,
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TechniqueLevel.L2_STANDARD, TechniqueStatus.STABLE,
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module_path="ashtakavarga.py", compute_func="calc_ashtakavarga"),
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TechniqueSpec("aspects", "相位系统", TechniqueCategory.NATAL,
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TechniqueLevel.L2_STANDARD, TechniqueStatus.STABLE,
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module_path="aspects.py", compute_func="calc_all_aspects"),
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TechniqueSpec("argala", "Argala阻碍", TechniqueCategory.NATAL,
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TechniqueLevel.L2_STANDARD, TechniqueStatus.STABLE,
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module_path="argala.py", compute_func="calc_argala"),
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TechniqueSpec("karaka", "象征星计算", TechniqueCategory.NATAL,
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TechniqueLevel.L2_STANDARD, TechniqueStatus.STABLE,
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module_path="karaka_calculator.py", compute_func="calculate_karaka"),
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TechniqueSpec("nakshatra", "星宿系统", TechniqueCategory.NATAL,
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TechniqueLevel.L2_STANDARD, TechniqueStatus.STABLE,
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module_path="nakshatra_advanced.py", compute_func="find_nakshatra"),
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TechniqueSpec("avastha", "行星状态", TechniqueCategory.NATAL,
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TechniqueLevel.L2_STANDARD, TechniqueStatus.STABLE,
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module_path="avastha_calculator.py"),
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TechniqueSpec("jaimini", "Jaimini系统", TechniqueCategory.NATAL,
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TechniqueLevel.L2_STANDARD, TechniqueStatus.BETA,
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module_path="jaimini.py", compute_func="calc_chara_karaka_7"),
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TechniqueSpec("tajika", "Tajika年运", TechniqueCategory.TAJIKA,
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TechniqueLevel.L2_STANDARD, TechniqueStatus.BETA,
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module_path="tajika.py", compute_func="calc_varshaphala"),
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TechniqueSpec("transit", "流年推运", TechniqueCategory.TRANSIT,
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TechniqueLevel.L2_STANDARD, TechniqueStatus.STABLE,
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module_path="transit.py", compute_func="computeTransit"),
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TechniqueSpec("synastry", "合盘系统", TechniqueCategory.SYNASTRY,
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TechniqueLevel.L2_STANDARD, TechniqueStatus.STABLE,
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module_path="synastry.py", compute_func="calc_synastry"),
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TechniqueSpec("prashna", "问事系统", TechniqueCategory.PRASHNA,
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TechniqueLevel.L2_STANDARD, TechniqueStatus.BETA,
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module_path="prashna.py", compute_func="cast_prashna"),
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# L3 高级技法（部分已有）
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TechniqueSpec("vimsopaka", "20分力量", TechniqueCategory.NATAL,
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TechniqueLevel.L3_ADVANCED, TechniqueStatus.STABLE,
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module_path="vimsopaka_calculator.py"),
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TechniqueSpec("special_lagnas", "特殊上升", TechniqueCategory.NATAL,
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TechniqueLevel.L3_ADVANCED, TechniqueStatus.BETA,
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module_path="special_lagnas.py"),
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TechniqueSpec("event_prediction", "事件预测", TechniqueCategory.READING,
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TechniqueLevel.L3_ADVANCED, TechniqueStatus.ALPHA,
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module_path="event_prediction_model.py"),
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]
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for spec in existing:
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registry.register(spec)
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# 注册新开发模块（v6.1.0 — 6大缺失模块）
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new_modules = [
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TechniqueSpec("darakaraka", "配偶象征星深度解读", TechniqueCategory.NATAL,
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TechniqueLevel.L3_ADVANCED, TechniqueStatus.ALPHA,
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module_path="darakaraka_reader.py", compute_func="analyze_darakaraka",
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depends_on=["karaka", "navamsa"]),
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TechniqueSpec("rtn_mapping", "RTN映射", TechniqueCategory.NATAL,
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TechniqueLevel.L3_ADVANCED, TechniqueStatus.ALPHA,
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module_path="rashi_tulya_navamsa.py", compute_func="analyze_rtn",
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depends_on=["varga"], requires_varga=[9]),
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TechniqueSpec("curse_yoga", "凶星合相命名", TechniqueCategory.NATAL,
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TechniqueLevel.L3_ADVANCED, TechniqueStatus.ALPHA,
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module_path="curse_yoga_detector.py", compute_func="detect_curse_yogas",
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depends_on=["yoga", "aspects"]),
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TechniqueSpec("spouse_status_yoga", "高地位配偶Yoga", TechniqueCategory.NATAL,
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TechniqueLevel.L3_ADVANCED, TechniqueStatus.ALPHA,
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module_path="spouse_status_yoga.py", compute_func="analyze_spouse_status",
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depends_on=["navamsa", "shadbala"]),
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TechniqueSpec("pancha_pakshi", "五鸟择时", TechniqueCategory.MUHURTA,
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TechniqueLevel.L3_ADVANCED, TechniqueStatus.ALPHA,
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module_path="pancha_pakshi.py", compute_func="get_pancha_pakshi_schedule",
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depends_on=["nakshatra"]),
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TechniqueSpec("tithi_lord", "Tithi主星", TechniqueCategory.NATAL,
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TechniqueLevel.L3_ADVANCED, TechniqueStatus.ALPHA,
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module_path="tithi_analyzer.py", compute_func="analyze_tithi",
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depends_on=["chart"]),
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# 更多计划中的技法（路线B）
|
||
TechniqueSpec("chara_dasha", "Jaimini Chara推运", TechniqueCategory.DASHA,
|
||
TechniqueLevel.L3_ADVANCED, TechniqueStatus.PLANNED,
|
||
depends_on=["jaimini"]),
|
||
TechniqueSpec("ashtottari_dasha", "Ashtottari推运", TechniqueCategory.DASHA,
|
||
TechniqueLevel.L3_ADVANCED, TechniqueStatus.PLANNED),
|
||
TechniqueSpec("yogini_dasha", "Yogini推运", TechniqueCategory.DASHA,
|
||
TechniqueLevel.L3_ADVANCED, TechniqueStatus.PLANNED),
|
||
TechniqueSpec("kalachakra_dasha", "Kalachakra推运", TechniqueCategory.DASHA,
|
||
TechniqueLevel.L4_ESOTERIC, TechniqueStatus.PLANNED),
|
||
TechniqueSpec("narayana_dasha", "Narayana推运", TechniqueCategory.DASHA,
|
||
TechniqueLevel.L4_ESOTERIC, TechniqueStatus.PLANNED),
|
||
TechniqueSpec("moola_dasha", "Moola推运", TechniqueCategory.DASHA,
|
||
TechniqueLevel.L4_ESOTERIC, TechniqueStatus.PLANNED),
|
||
]
|
||
|
||
for spec in new_modules:
|
||
registry.register(spec)
|
||
|
||
print(f"\n[REGISTRY] 总计注册技法: {len(registry._techniques)} 个")
|
||
print(f"[REGISTRY] 其中 STABLE: {sum(1 for s in registry._techniques.values() if s.status == TechniqueStatus.STABLE)} 个")
|
||
print(f"[REGISTRY] 其中 PLANNED: {sum(1 for s in registry._techniques.values() if s.status == TechniqueStatus.PLANNED)} 个")
|
||
|
||
|
||
# 启动时自动注册
|
||
_register_existing_techniques()
|
||
|
||
|
||
# ============================================================================
|
||
# CLI 调试
|
||
# ============================================================================
|
||
|
||
if __name__ == "__main__":
|
||
print("=" * 60)
|
||
print("印度占星技法注册中心")
|
||
print("=" * 60)
|
||
|
||
stats = registry.get_coverage_stats()
|
||
print(f"\n总技法数: {stats['total']}")
|
||
print(f"\n按分类:")
|
||
for cat, count in sorted(stats['by_category'].items()):
|
||
pct = stats['coverage_pct'].get(cat, 0)
|
||
print(f" {cat:12s}: {count:3d} 个 (stable覆盖率: {pct}%)")
|
||
|
||
print(f"\n按层级:")
|
||
for lvl, count in sorted(stats['by_level'].items()):
|
||
print(f" {lvl}: {count:3d} 个")
|
||
|
||
print(f"\n按状态:")
|
||
for st, count in sorted(stats['by_status'].items()):
|
||
print(f" {st:12s}: {count:3d} 个")
|
||
|
||
print("\n" + "=" * 60)
|
||
print("婚姻主题解读链:")
|
||
for i, t in enumerate(registry.get_reading_chain("marriage"), 1):
|
||
spec = registry.get(t)
|
||
status = spec.status.value if spec else "?"
|
||
print(f" {i}. {t:25s} [{status}]")
|