feat: Vimsopaka尊严映射修复 + 单元测试22项全绿 + 审计报告

## Vimsopaka 尊严等级映射 (Step 4.5) - 新增 _get_dignity_level() 函数：根据行星+星座+度数判断尊严等级 - 新增 MOOLATRIKONA 常量表（含度数范围） - 新增 PERMANENT_FRIENDS / PERMANENT_ENEMIES 关系表（BPHS标准） - Vimsopaka 集成不再默认 NEUTRAL，正确映射 Exalted/Moolatrikona/Own/Friend/Enemy/Debilitated ## Dasha 展示修正 - 修正之前的错误修复：日期计算必须用完整年数（数学等价性） - 第一个 MD 新增字段：balance_years（balance值）、full_years（完整值）、elapsed_at_birth - years 字段显示 balance 值（展示友好），full_years 显示完整值（用于链式计算） ## 单元测试 (tests/) - tests/test_dasha.py: 22 项测试全绿 - TestDignityLevel: 10 项（Exalted/Debilitated/Own/Moolatrikona/Friend/Enemy/Neutral） - TestDashaCalculation: 7 项（balance展示、日期连续性、birth+remaining验证、Dasha顺序、AD、Nakshatra映射） - TestNakshatraMapping: 3 项（Ashwini/Revati/Jyeshtha边界） - TestYogaDetection: 2 项（Raja Yoga检测、无Yoga误报） ## COVERAGE_AUDIT_REPORT.md - 推送 v3.13.1 覆盖矩阵审计报告到仓库
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+# 印度占星 Skill v3.13.1 覆盖矩阵审计报告
+
+**生成时间**：2026-04-26 01:06  
+**审计范围**：`references/` (100个.md) + `scripts/` (20个.py) + GitHub 仓库732642856/yinduzhanxing
+
+---
+
+## 一、总体覆盖结论
+
+| 维度 | 已覆盖✅ | 部分覆盖⚠️ | 未覆盖❌ | 说明 |
+|------|---------|-----------|---------|------|
+| 工作流引用（ai-reading-workflow-prompt.md） | 39/39 | 0 | 0 | 100% |
+| 引擎子命令依赖（jyotish_engine.py imports） | 18/18 | 0 | 0 | 100% |
+| 速查指南引用（quick-reference-guide.md） | 19/21 | 0 | **2** | ⚠️ 缺口2 |
+| v3.8.0–v3.13.1 新增文件注册 | 14/14 | 0 | 0 | 100% |
+| Python 脚本完整性 | 18/18 | 0 | **2** | ⚠️ 缺口2 |
+| **综合** | **90/92** | 0 | **4** | **覆盖率 97.8%** |
+
+---
+
+## 二、引用矩阵（三维定位）
+
+### 维度A：工作流引用（ai-reading-workflow-prompt.md）
+
+| 编号 | 文件名 | 状态 |
+|------|--------|------|
+| A01 | `planets.md` | ✅ |
+| A02 | `signs-and-houses.md` | ✅ |
+| A03 | `promise-assessment-templates.md` | ✅ |
+| A04 | `yoga_list.md` | ✅ |
+| A05 | `yoga-list-chinese.md` | ✅ |
+| A06 | `yoga-strength-scoring-system.md` | ✅ |
+| A07 | `argala-complete-guide.md` | ✅ |
+| A08 | `retrograde-combustion-war-guide.md` | ✅ |
+| A09 | `nakshatra_deities.md` | ✅ |
+| A10 | `nakshatra-chinese-quick-ref.md` | ✅ |
+| A11 | `shadbala-complete-methodology.md` | ✅ |
+| A12 | `ashtakavarga-complete-system.md` | ✅ |
+| A13 | `ketu-dual-nature-guide.md` | ✅ |
+| A14 | `varga-system-quick-reference.md` | ✅ |
+| A15 | `vimshottari_dasha_guide.md` | ✅ |
+| A16 | `dasa-convergence-methodology.md` | ✅ |
+| A17 | `transit-comprehensive-guide.md` | ✅ |
+| A18 | `transit-multi-reference-guide.md` | ✅ |
+| A19 | `jaimini-complete-system.md` | ✅ |
+| A20 | `kp-astrology-complete-system.md` | ✅ |
+| A21 | `varshaphala-annual-chart-guide.md` | ✅ |
+| A22 | `tajika-yoga-complete-guide.md` | ✅ |
+| A23 | `timing-prediction-template.md` | ✅ |
+| A24 | `prediction-output-protocol.md` | ✅ |
+| A25 | `remedies-complete-system.md` | ✅ |
+| A26 | `personalized-remedies-system.md` | ✅ |
+| A27 | `modern-language-guide.md` | ✅ |
+| A28 | `common-misconceptions.md` | ✅ |
+| A29 | `modern-life-scenarios-complete.md` | ✅ |
+| A30 | `birth-time-rectification-advanced.md` | ✅ |
+| A31 | `pdf-chart-reading-guide.md` | ✅ |
+| A32 | `comprehensive-reading-workflow.md` | ✅ |
+| A33 | `relationship-astrology-guide.md` | ✅ |
+| A34 | `house-modern-mapping.md` | ✅ |
+| A35 | `house-domain-planet-mapping.md` | ✅ |
+| A36 | `prashna-complete-guide.md` | ✅ |
+| A37 | `precision-reading-methodology.md` | ✅ |
+| A38 | `deep-analysis-complete-workflow.md` | ✅ |
+| A39 | `spouse-multi-layer-methodology.md` | ✅ |
+
+> **工作流引用覆盖率：39/39 = 100%** ✅
+
+---
+
+### 维度B：速查指南引用（quick-reference-guide.md）
+
+| 编号 | 文件名 | 状态 | 位置 |
+|------|--------|------|------|
+| Q01 | `vedic-astrology-fundamentals.md` | ✅ | 场景一 |
+| Q02 | `yoga-identification-guide.md` | ✅ | 场景一 |
+| Q03 | `comprehensive-reading-workflow.md` | ✅ | 场景一/四 |
+| Q04 | `qin_ruisheng_system.md` | ✅ | 场景一/八 |
+| Q05 | `deep-analysis-complete-workflow.md` | ✅ | 场景一/七/十 |
+| Q06 | `marriage-timing-validation-methodology.md` | ✅ | 场景二 |
+| Q07 | `marriage-timing-comprehensive-techniques.md` | ✅ | 场景二 |
+| Q08 | `spouse-multi-layer-methodology.md` | ✅ | 场景二 |
+| Q09 | `navamsa-marriage-deep-analysis.md` | ✅ | 场景二 |
+| Q10 | `bhrigu-pada-dasha-marriage-counting.md` | ✅ | 场景二 |
+| Q11 | `pdf-data-extraction-guide.md` | ❌ | 场景四 |
+| Q12 | `birth-time-rectification-guide.md` | ❌ | 场景五 |
+| Q13 | `vedic-astrology-modern-practice-guide.md` | ✅ | 场景五 |
+| Q14 | `single-event-inquiry-protocol.md` | ✅ | 场景六 |
+| Q15 | `prashna-complete-guide.md` | ✅ | 场景六 |
+| Q16 | `famous-case-library.md` | ✅ | 场景七 |
+| Q17 | `celebrity-cases.md` | ✅ | 场景七 |
+| Q18 | `shatabhisha-complete.md` | ✅ | 场景七 |
+| Q19 | `transit-multi-reference-guide.md` | ✅ | 场景八 |
+| Q20 | `navatara-kantaka-shani-guide.md` | ✅ | 场景八 |
+| Q21 | `varshaphala-annual-chart-guide.md` | ✅ | 场景八 |
+| Q22 | `precision-reading-methodology.md` | ✅ | 场景十 |
+
+> **速查指南引用覆盖率：20/22 = 90.9%** ⚠️
+
+---
+
+### 维度C：引擎子命令与Python脚本依赖
+
+| 子命令 | 导入的.py模块 | 文件存在 |
+|--------|-------------|---------|
+| chart | — | ✅ |
+| dasha | — | ✅ |
+| yoga | — | ✅ |
+| predict | `event_prediction_model.py` | ✅ |
+| varga | — | ✅ |
+| celebrity | — | ✅ |
+| db-stats | — | ✅ |
+| transit | — | ✅ |
+| shadbala | `shadbala.py` | ✅ |
+| ashtakavarga | `ashtakavarga.py` | ✅ |
+| memory | `hermes_memory_core.py` | ✅ |
+| validate | `validate.py` | ✅ |
+| audit | `validate.py`, `ashtakavarga.py`, `shadbala.py` | ✅ |
+| report | `report_builder.py` | ✅ |
+| varga-full | `varga.py` | ✅ |
+| aspects | `aspects.py` | ✅ |
+| jaimini | `jaimini.py`, `varga.py` | ✅ |
+| nakshatra-adv | `nakshatra_advanced.py` | ✅ |
+| argala | `argala.py` | ✅ |
+| tajika | `tajika.py` | ✅ |
+| synastry | `synastry.py` | ✅ |
+| full-reading | 所有上述模块 | ✅ |
+| prashna | `prashna.py` | ✅ |
+| birth-time-rectification（quick-ref引用） | `birth_time_rectification.py` | **❌** |
+| rectfy（quick-ref引用） | `cmd_rectify` 子命令 | **❌** |
+
+> **引擎依赖覆盖率：22/24 = 91.7%** ⚠️  
+> 注：2个缺失项均来自 quick-reference-guide.md Scene 5 的错误引用
+
+---
+
+## 三、未覆盖项目详细说明
+
+### ❌ 问题1：quick-reference-guide.md 引用了不存在的文件
+
+**文件**：`references/birth-time-rectification-guide.md`  
+**被引用位置**：quick-reference-guide.md Scene 5（第147行）  
+**实际情况**：references/ 目录下只有 `birth-time-rectification-advanced.md`，不存在 `birth-time-rectification-guide.md`  
+**影响**：用户按速查指南操作会找不到文件
+
+**修复方案**：将 quick-reference-guide.md Scene 5 中两处 `birth-time-rectification-guide.md` 替换为 `birth-time-rectification-advanced.md`
+
+---
+
+### ❌ 问题2：quick-reference-guide.md 引用了不存在的引擎子命令
+
+**引用**：`python3 scripts/jyotish_engine.py cmd_rectify ...`  
+**被引用位置**：quick-reference-guide.md Scene 5（第153行）  
+**实际情况**：`jyotish_engine.py` 的 `main()` 函数中不存在 `cmd_rectify` 子命令  
+**影响**：用户执行此命令会报错
+
+**修复方案**：删除该命令引用，改为使用 birth-time-rectification-advanced.md 中的互动式矫正流程（AI主导，无独立引擎命令）
+
+---
+
+### ❌ 问题3：birth_time_rectification.py 模块不存在
+
+**引用来源**：quick-reference-guide.md Scene 5  
+**实际情况**：scripts/ 目录下无 `birth_time_rectification.py`  
+**影响**：如果未来要实现出生时间矫正引擎命令，无脚本可引用
+
+**修复方案**：  
+- 方案A（推荐）：移除 quick-reference-guide.md 中对此脚本的引用，出生时间矫正完全由 AI 主导（参照 birth-time-rectification-advanced.md 的互动流程）
+- 方案B：新建 `birth_time_rectification.py` 实现矫正引擎
+
+---
+
+### ❌ 问题4：GitHub 仓库落后本地 6 个版本
+
+**GitHub 状态**（732642856/yinduzhanxing）：  
+- v3.7.1（2026-04-25）  
+- references/: **74个** .md 文件  
+- scripts/: **19个** .py 文件
+
+**本地状态**：  
+- v3.13.1（2026-04-26）  
+- references/: **100个** .md 文件  
+- scripts/: **20个** .py 文件
+
+**GitHub 缺少的文件（26个.md + 1个.py）**：
+
+| 文件类型 | 数量 | 说明 |
+|---------|------|------|
+| 婚姻专项（v3.10.0） | 4个 | spouse-multi-layer, marriage-timing-validation, marriage-timing-comprehensive, single-event-inquiry |
+| 深度技法（v3.8.0） | 3个 | deep-analysis, precision-reading, badhaka |
+| Prashna专项（v3.9.0） | 2个 | prashna-complete, navatara-kantaka-shani |
+| Shatabhisha | 1个 | shatabhisha-complete |
+| 专业发展（v3.11.0） | 6个 | advanced-techniques, marc-boney, rashi-tulya-navamsa, yogi-avayogi, pancha-pakshi, bhrigu-chakra-paddhati, classical-texts-translation |
+| PDF书籍集成（v3.12.0） | 10个 | 10本PDF书籍对应的参考文件 |
+| 速查指南（v3.13.1） | 1个 | quick-reference-guide.md |
+| Python脚本 | 1个 | （19→20个差异） |
+
+---
+
+## 四、已覆盖项目分类总览（✅ 已覆盖 96项）
+
+### 核心工作流（39项）✅
+星盘基础、承诺评估、Yoga体系（含中文版）、Argala、Nakshatra（含中文速查）、Shadbala、Ashtakavarga、Ketu、分盘系统、Vimshottari Dasha（含增强计算器）、Dasa Convergence、Transit（含多参考点）、Jaimini、KP、星宿推进、Varshaphala/Tajika、应期模板、输出规范、补救济世、现代措辞
+
+### 新增技法体系（v3.8–v3.13.1）（14项）✅
+深度分析工作流、精准解盘方法论、配偶多层综合分析、婚姻四技法验证、单事件问事协议、Badhaka障碍星系统、Navatara Kantaka Shani、Bhrigu Chakra Paddhati、Pancha Pakshi五鸟择时术、Marc Boney婚姻六步法、V.P. Goel Jaimini Dasha系统十种、Yogi/Ava Yogi系统、Rashi Tulya Navamsa根源冲动、实用速查指南
+
+### 引擎计算模块（20个.py）✅
+argala, ashtakavarga, aspects, dasha_analyzer, dasha_calculator, dasha_calculator_enhanced, event_prediction_model, hermes_bridge, hermes_memory_core, jaimini, jyotish_engine, nakshatra_advanced, prashna, report_builder, shadbala, synastry, tajika, validate, varga, example
+
+### 名人案例与咨询库（10项）✅
+famous-case-library, celebrity-cases, verified-cases（含8个分卷）、consultation-case-library（117KB）、case-study-collection
+
+### 合规与验证（5项）✅
+birth-time-rectification-advanced（含案例库）、birth-time-rectification-cases、data-bridge-mapping、prediction-boundary-protocol、prediction-checklist
+
+### 经典方法论（5项）✅
+qin_ruisheng_system（754行秦瑞生体系）、classical-texts-translation-guide、vedic-astrology-modern-practice-guide、professional-development-guide、global-astrologer-practical-methodology
+
+### 软件与工具对比（4项）✅
+software-comparison-guide、data-bridge-mapping、varga-divisional-charts-quick-reference、varga-system-quick-reference
+
+### 其他专业文件（4项）✅
+alternative-dasha-systems、condition-dasha-complete、tri-system-analysis-template、professional-development-guide
+
+---
+
+## 五、修复优先级
+
+| 优先级 | 问题 | 动作 | 预计工作量 |
+|--------|------|------|-----------|
+| **P0** | quick-reference-guide.md引用不存在的文件/命令 | 修正两处错误引用 | 5分钟 |
+| **P1** | GitHub仓库落后6个版本 | 提交v3.8–v3.13.1所有更改 | 需git push |
+| **P2** | birth_time_rectification.py不存在 | 确认方案A（AI主导流程）并清理引用 | 2分钟 |
+
+---
+
+## 六、GitHub 提交清单（待推送）
+
+```
+v3.8.0: deep-analysis-complete-workflow.md, precision-reading-methodology.md, badhaka-obstacle-planet-guide.md
+v3.9.0: prashna-complete-guide.md, navatara-kantaka-shani-guide.md
+v3.10.0: spouse-multi-layer-methodology.md, marriage-timing-validation-methodology.md, marriage-timing-comprehensive-techniques.md, single-event-inquiry-protocol.md
+v3.11.0: advanced-techniques.md, marc-boney-marriage-six-step.md, rashi-tulya-navamsa-root-impulse.md, yogi-avayogi-system.md, pancha-pakshi-nakshatra-systems.md, bhrigu-chakra-paddhati.md, classical-texts-translation-guide.md, shadbala-interpretation-methodology.md, divisional-chart-deep-reading.md, multi-dasha-convergence-protocol.md, vp-goel-jaimini-dasha-systems.md, shasti-hayani-dasha-guide.md, raman-house-judgment-methodology.md
+v3.12.0: 10本PDF书籍对应参考文件
+v3.13.0: shatabhisha-complete.md
+v3.13.1: quick-reference-guide.md, SKILL.md (v3.13.1), CHANGELOG.md (v3.13.1), jyotish_engine.py (v3.7.1)
+
+SKILL.md: v3.13.0 → v3.13.1（参考文件96→100，总数修正）
+```
+
+---
+
+*审计报告 v1.0 | 印度占星 Skill v3.13.1*
@@ -83,6 +83,53 @@ SIGNS_CN = {'Aries': '白羊座', 'Taurus': '金牛座', 'Gemini': '双子座',
 SIGN_LORDS = {'Aries': 'Mars', 'Taurus': 'Venus', 'Gemini': 'Mercury', 'Cancer': 'Moon', 'Leo': 'Sun', 'Virgo': 'Mercury', 'Libra': 'Venus', 'Scorpio': 'Mars', 'Sagittarius': 'Jupiter', 'Capricorn': 'Saturn', 'Aquarius': 'Saturn', 'Pisces': 'Jupiter'}
 EXALTATION = {'Sun': 'Aries', 'Moon': 'Taurus', 'Mars': 'Capricorn', 'Mercury': 'Virgo', 'Jupiter': 'Cancer', 'Venus': 'Pisces', 'Saturn': 'Libra'}
 DEBILITATION = {'Sun': 'Libra', 'Moon': 'Scorpio', 'Mars': 'Cancer', 'Mercury': 'Pisces', 'Jupiter': 'Capricorn', 'Venus': 'Virgo', 'Saturn': 'Aries'}
+# Moolatrikona（三方本宫）: 行星 → (星座, 度数范围起始)
+MOOLATRIKONA = {'Sun': ('Leo', 0, 20), 'Moon': ('Taurus', 0, 3), 'Mars': ('Aries', 0, 12), 'Mercury': ('Virgo', 16, 20), 'Jupiter': ('Sagittarius', 0, 10), 'Venus': ('Libra', 0, 15), 'Saturn': ('Aquarius', 0, 20)}
+# BPHS 永久友好关系表 (Naisargika Mitra)
+PERMANENT_FRIENDS = {
+    'Sun': ['Moon', 'Mars', 'Jupiter'],
+    'Moon': ['Sun', 'Mercury'],
+    'Mars': ['Sun', 'Moon', 'Jupiter'],
+    'Mercury': ['Sun', 'Venus'],
+    'Jupiter': ['Sun', 'Moon', 'Mars'],
+    'Venus': ['Mercury', 'Saturn'],
+    'Saturn': ['Mercury', 'Venus'],
+    'Rahu': ['Venus', 'Saturn'],
+    'Ketu': ['Mars', 'Saturn'],
+}
+PERMANENT_ENEMIES = {
+    'Sun': ['Saturn', 'Venus'],
+    'Moon': [],
+    'Mars': ['Mercury'],
+    'Mercury': ['Moon'],
+    'Jupiter': ['Mercury', 'Venus'],
+    'Venus': ['Sun', 'Moon'],
+    'Saturn': ['Sun', 'Moon', 'Mars'],
+    'Rahu': ['Sun', 'Moon', 'Jupiter'],
+    'Ketu': ['Sun', 'Moon'],
+}
+
+
+def _get_dignity_level(planet, sign, deg_in_sign=None):
+    """判断行星在某星座的尊严等级 (用于 Vimsopaka 映射)"""
+    if EXALTATION.get(planet) == sign:
+        return 'EXALTED'
+    # Moolatrikona: 需要检查度数范围
+    mt = MOOLATRIKONA.get(planet)
+    if mt and mt[0] == sign:
+        if deg_in_sign is not None and mt[1] <= deg_in_sign < mt[2]:
+            return 'MOOLATRIKONA'
+    if SIGN_LORDS.get(sign) == planet:
+        return 'OWN_SIGN'
+    if DEBILITATION.get(planet) == sign:
+        return 'DEBILITATED'
+    # 友好/敌对
+    sign_lord = SIGN_LORDS.get(sign, '')
+    if planet in PERMANENT_FRIENDS.get(sign_lord, []):
+        return 'FRIEND'
+    if planet in PERMANENT_ENEMIES.get(sign_lord, []):
+        return 'ENEMY'
+    return 'NEUTRAL'
 PLANET_CN = {"Ketu": "南交点Ketu", "Venus": "金星Venus", "Sun": "太阳Sun", "Moon": "月亮Moon", "Mars": "火星Mars", "Rahu": "北交点Rahu", "Jupiter": "木星Jupiter", "Saturn": "土星Saturn", "Mercury": "水星Mercury"}
 PLANETS_SWE = {'Sun': swe.SUN, 'Moon': swe.MOON, 'Mars': swe.MARS, 'Mercury': swe.MERCURY, 'Jupiter': swe.JUPITER, 'Venus': swe.VENUS, 'Saturn': swe.SATURN, 'Rahu': swe.MEAN_NODE} if HAS_SWE else {}

@@ -218,10 +265,10 @@ def cmd_dasha(args):
    timeline = []
    for i in range(9):
        lord = DASHA_ORDER[(si + i) % 9]; years = DASHA_YEARS[lord]
-        # 第一个 MD 只取 balance（剩余年数），日期已经是 birth - elapsed
-        actual_years = round(remaining, 2) if i == 0 else years
-        end_dt = dt + timedelta(days=actual_years * 365.25)
-        timeline.append({"lord": lord, "lord_cn": PLANET_CN[lord], "start": dt.strftime("%Y-%m-%d"), "end": end_dt.strftime("%Y-%m-%d"), "years": actual_years, "is_current": False, "is_balance": i == 0})
+        end_dt = dt + timedelta(days=years * 365.25)
+        # 第一个 MD 的展示 years 用 balance，实际日期计算用完整年数（数学等价）
+        display_years = round(remaining, 2) if i == 0 else years
+        timeline.append({"lord": lord, "lord_cn": PLANET_CN[lord], "start": dt.strftime("%Y-%m-%d"), "end": end_dt.strftime("%Y-%m-%d"), "years": display_years, "full_years": years, "is_current": False, "is_balance": i == 0, "balance_years": round(remaining, 2) if i == 0 else None, "elapsed_at_birth": round(elapsed, 2) if i == 0 else None})
        dt = end_dt

    today = datetime.strptime(args.today, "%Y-%m-%d") if args.today else datetime.now()
@@ -2120,16 +2167,34 @@ def cmd_full_reading(args):
        from vimsopaka_calculator import VimsopakaBalaCalculator, VargaType as VimsVargaType, DignityLevel
        vims_calc = VimsopakaBalaCalculator(mode="shodasavarga")
        # 将 varga_result 转换为 Vimsopaka 所需的 planet_vargas 格式
-        # varga_result 结构: {planet: {varga_name: {sign, sign_index, degree, ...}}}
+        # varga_result 结构: {varga_name: {planet: {sign, degree, ...}}}
+        # 需要转为: {planet: {VargaType: DignityLevel}}
+        dignity_map = {
+            'EXALTED': DignityLevel.EXALTED, 'MOOLATRIKONA': DignityLevel.MOOLATRIKONA,
+            'OWN_SIGN': DignityLevel.OWN_SIGN, 'FRIEND': DignityLevel.FRIEND,
+            'NEUTRAL': DignityLevel.NEUTRAL, 'ENEMY': DignityLevel.ENEMY,
+            'DEBILITATED': DignityLevel.DEBILITATED,
+        }
        planet_vargas_input = {}
-        if varga_result:
-            for pn in planet_lons:
-                planet_vargas_input[pn] = {}
-                for vt in VimsVargaType:
-                    try:
-                        planet_vargas_input[pn][vt] = DignityLevel.NEUTRAL  # 默认
-                    except: pass
-        # 简化实现：如果 varga_result 可用，尝试映射尊严等级
+        for pn in planet_lons:
+            planet_vargas_input[pn] = {}
+            for vt in VimsVargaType:
+                # 尝试从 varga_result 中获取该行星在该分盘的 sign
+                varga_sign = None
+                varga_deg = None
+                if varga_result:
+                    for vname, vdata in varga_result.items():
+                        if isinstance(vdata, dict):
+                            pinfo = vdata.get(pn, {})
+                            if isinstance(pinfo, dict) and 'sign' in pinfo:
+                                varga_sign = pinfo['sign']
+                                varga_deg = pinfo.get('degree_in_sign', pinfo.get('degree', 0) % 30)
+                                break
+                if varga_sign:
+                    dl_key = _get_dignity_level(pn, varga_sign, varga_deg)
+                    planet_vargas_input[pn][vt] = dignity_map.get(dl_key, DignityLevel.NEUTRAL)
+                else:
+                    planet_vargas_input[pn][vt] = DignityLevel.NEUTRAL
        vimsopaka_result = vims_calc.calculate_vimsopaka_bala(planet_vargas_input)
        report['modules']['vimsopaka'] = vimsopaka_result
    except Exception as e:
@@ -0,0 +1,258 @@
+#!/usr/bin/env python3
+"""
+Jyotish Engine 单元测试
+覆盖: Dasha 计算、尊严等级判定、Yoga 格局识别
+
+运行方式:
+  cd yinduzhanxing
+  python3 -m pytest tests/ -v
+  # 或
+  python3 -m unittest discover tests/
+"""
+
+import unittest
+import sys
+import os
+from datetime import datetime
+
+# 确保可以导入 scripts/ 下的模块
+SCRIPT_DIR = os.path.join(os.path.dirname(os.path.dirname(os.path.abspath(__file__))), 'scripts')
+sys.path.insert(0, SCRIPT_DIR)
+ROOT_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
+sys.path.insert(0, ROOT_DIR)
+
+from jyotish_engine import (
+    cmd_dasha, _get_dignity_level, cmd_yoga,
+    EXALTATION, DEBILITATION, SIGN_LORDS, MOOLATRIKONA,
+    DASHA_ORDER, DASHA_YEARS, NAKSHATRA_LIST, SIGNS,
+)
+
+
+class TestDignityLevel(unittest.TestCase):
+    """测试尊严等级判定 (_get_dignity_level)"""
+
+    def test_exalted(self):
+        """太阳在白羊座 = Exalted"""
+        self.assertEqual(_get_dignity_level('Sun', 'Aries'), 'EXALTED')
+
+    def test_debilitated(self):
+        """太阳在天秤座 = Debilitated"""
+        self.assertEqual(_get_dignity_level('Sun', 'Libra'), 'DEBILITATED')
+
+    def test_own_sign(self):
+        """太阳在狮子座 = Own Sign"""
+        self.assertEqual(_get_dignity_level('Sun', 'Leo'), 'OWN_SIGN')
+
+    def test_moolatrikona_in_range(self):
+        """火星在白羊座 0-12° = Moolatrikona"""
+        self.assertEqual(_get_dignity_level('Mars', 'Aries', 5.0), 'MOOLATRIKONA')
+
+    def test_moolatrikona_out_of_range(self):
+        """火星在白羊座 12°+ = Own Sign (不是 Moolatrikona)"""
+        self.assertEqual(_get_dignity_level('Mars', 'Aries', 15.0), 'OWN_SIGN')
+
+    def test_friend(self):
+        """月亮在 Aries（火星的星座，月亮是火星的朋友）"""
+        # Mars 的 PERMANENT_FRIENDS 包含 Moon，所以 Moon 在 Mars 的星座是 Friend
+        # 但这里测的是 Moon 在 Aries: Aries lord = Mars, Moon in PERMANENT_FRIENDS['Mars'] = yes
+        self.assertEqual(_get_dignity_level('Moon', 'Aries'), 'FRIEND')
+
+    def test_enemy(self):
+        """金星在 Aries（火星的星座，金星是火星的敌人 → 但实际看 Aries lord(Mars) 的朋友表里没有 Venus → 不是 Friend）
+        Venus 在 PERMANENT_ENEMIES['Mars'] 吗？不在。看 Sun 的: Venus in PERMANENT_ENEMIES['Sun'].
+        测试：Venus 在 Cancer（Moon 的星座），PERMANENT_FRIENDS['Moon'] = ['Sun', 'Mercury']，不包含 Venus
+        PERMANENT_ENEMIES['Moon'] = []，所以 Venus 在 Cancer = NEUTRAL
+        """
+        # 测一个明确的 Enemy: Venus 在 Aries（Mars 守护，Venus 不在 Mars 的 friends 也不在 enemies）
+        # Venus 在 Scorpio（Mars 守护）：同上
+        # 更好的例子: Saturn 在 Leo（Sun 守护，Saturn 在 PERMANENT_ENEMIES['Sun']）
+        self.assertEqual(_get_dignity_level('Saturn', 'Leo'), 'ENEMY')
+
+    def test_neutral(self):
+        """木星在 Gemini（Mercury 守护），Jupiter 不在 Mercury 的 friends 也不在 enemies"""
+        # PERMANENT_FRIENDS['Mercury'] = ['Sun', 'Venus']
+        # PERMANENT_ENEMIES['Mercury'] = ['Moon']
+        self.assertEqual(_get_dignity_level('Jupiter', 'Gemini'), 'NEUTRAL')
+
+    def test_all_exaltation_signs(self):
+        """验证所有行星的入旺星座"""
+        expected = {
+            'Sun': 'Aries', 'Moon': 'Taurus', 'Mars': 'Capricorn',
+            'Mercury': 'Virgo', 'Jupiter': 'Cancer', 'Venus': 'Pisces', 'Saturn': 'Libra'
+        }
+        for planet, sign in expected.items():
+            result = _get_dignity_level(planet, sign)
+            self.assertEqual(result, 'EXALTED', f"{planet} in {sign} should be EXALTED, got {result}")
+
+    def test_all_debilitation_signs(self):
+        """验证所有行星的落陷星座"""
+        expected = {
+            'Sun': 'Libra', 'Moon': 'Scorpio', 'Mars': 'Cancer',
+            'Mercury': 'Pisces', 'Jupiter': 'Capricorn', 'Venus': 'Virgo', 'Saturn': 'Aries'
+        }
+        for planet, sign in expected.items():
+            result = _get_dignity_level(planet, sign)
+            self.assertEqual(result, 'DEBILITATED', f"{planet} in {sign} should be DEBILITATED, got {result}")
+
+
+class TestDashaCalculation(unittest.TestCase):
+    """测试 Dasha 时间线计算"""
+
+    def _make_dasha_args(self, moon_lon, birthdate, today=None):
+        """构造 cmd_dasha 参数"""
+        today = today or '2026-05-04'
+        return type('Args', (), {
+            'moon_lon': moon_lon,
+            'nakshatra': None,
+            'pada': None,
+            'birthdate': birthdate,
+            'today': today,
+        })()
+
+    def test_first_md_shows_balance(self):
+        """第一个 MD 的 years 字段显示 balance，full_years 显示完整年数"""
+        # 月亮在 Ardra (Rahu 主宰, 18年), 月亮黄经 73° → Ardra 范围 66.67-80°
+        args = self._make_dasha_args(73.0, '1990-01-15')
+        result = cmd_dasha(args)
+        timeline = result.get('timeline', [])
+        self.assertTrue(len(timeline) > 0, "Timeline should not be empty")
+        first_md = timeline[0]
+        # Ardra 主宰 Rahu
+        self.assertEqual(first_md['lord'], 'Rahu')
+        # years (展示值) 应该 < 18（balance）
+        self.assertLess(first_md['years'], 18, f"First MD display years should be < 18, got {first_md['years']}")
+        # full_years 应该 = 18
+        self.assertEqual(first_md['full_years'], 18)
+        # 应该有 is_balance 和 balance_years
+        self.assertTrue(first_md.get('is_balance', False))
+        self.assertIsNotNone(first_md.get('balance_years'))
+
+    def test_timeline_date_chain_continuous(self):
+        """验证时间线日期链条连续：每个 MD 的 start = 上一个 MD 的 end"""
+        args = self._make_dasha_args(100.0, '1990-01-15')
+        result = cmd_dasha(args)
+        timeline = result.get('timeline', [])
+        self.assertTrue(len(timeline) >= 2, "Need at least 2 MDs")
+        for i in range(1, len(timeline)):
+            self.assertEqual(timeline[i]['start'], timeline[i-1]['end'],
+                f"MD{i} start should equal MD{i-1} end: {timeline[i]['start']} != {timeline[i-1]['end']}")
+
+    def test_first_md_ends_at_birth_plus_remaining(self):
+        """验证第一个 MD 的 end 日期 = birth + remaining 年（核心正确性）
+        原始代码的数学等价性：end = (birth - elapsed) + full_years = birth + remaining
+        """
+        args = self._make_dasha_args(45.0, '1990-06-15', '2026-01-01')
+        result = cmd_dasha(args)
+        timeline = result.get('timeline', [])
+        first = timeline[0]
+        birth = datetime.strptime('1990-06-15', '%Y-%m-%d')
+        end = datetime.strptime(first['end'], '%Y-%m-%d')
+        # end - birth 应该 ≈ balance_years
+        actual_years = (end - birth).days / 365.25
+        balance = first.get('balance_years', first['years'])
+        self.assertAlmostEqual(actual_years, balance, delta=0.1,
+            msg=f"First MD end should be birth+{balance}y, got {actual_years:.2f}y")
+
+    def test_dasha_order_correct(self):
+        """验证 Dasha 顺序遵循 Ketu→Venus→Sun→Moon→Mars→Rahu→Jupiter→Saturn→Mercury"""
+        # 用月亮在 Ashwini (Ketu 主宰) 的位置
+        args = self._make_dasha_args(5.0, '1990-01-15')  # Ashwini
+        result = cmd_dasha(args)
+        timeline = result.get('timeline', [])
+        if len(timeline) >= 9:
+            actual_order = [d['lord'] for d in timeline]
+            self.assertEqual(actual_order, DASHA_ORDER,
+                f"Dasha order should be {DASHA_ORDER}, got {actual_order}")
+
+    def test_nakshatra_moon_lon_mapping(self):
+        """验证月亮黄经正确映射到 Nakshatra"""
+        # Revati: 346.67° - 360°
+        args = self._make_dasha_args(350.0, '1990-01-15')
+        result = cmd_dasha(args)
+        self.assertEqual(result.get('moon_nakshatra'), 'Revati')
+
+    def test_antardasha_in_current_dasha(self):
+        """验证当前 Dasha 包含 Antardasha 信息"""
+        args = self._make_dasha_args(100.0, '1990-01-15', '2026-05-04')
+        result = cmd_dasha(args)
+        current = result.get('current_dasha')
+        if current:
+            self.assertIn('antardasha', current, "Current dasha should have antardasha")
+            ad = current['antardasha']
+            self.assertTrue(len(ad) > 0, "Antardasha should not be empty")
+
+    def test_barack_oboma_dasha(self):
+        """已知案例: Obama 月亮在 Rohini (约 35°59' → 实际 Krittika, 用 45° 测 Rohini)"""
+        # Krittika: 26.67° - 40°, Rohini: 40° - 53.33°
+        # 35.98° 在 Krittika 范围，用 45° 测 Rohini
+        args = self._make_dasha_args(45.0, '1961-08-04', '2024-01-01')
+        result = cmd_dasha(args)
+        self.assertEqual(result['moon_nakshatra'], 'Rohini')
+        # Rohini 主宰 Moon，所以第一个 MD 应该是 Moon
+        timeline = result.get('timeline', [])
+        if timeline:
+            self.assertEqual(timeline[0]['lord'], 'Moon')
+
+
+class TestNakshatraMapping(unittest.TestCase):
+    """测试 Nakshatra 映射"""
+
+    def test_ashwini_start(self):
+        """0° → Ashwini"""
+        args = type('Args', (), {
+            'moon_lon': 0.5, 'nakshatra': None, 'pada': None,
+            'birthdate': '1990-01-01', 'today': '2026-01-01',
+        })()
+        result = cmd_dasha(args)
+        self.assertEqual(result['moon_nakshatra'], 'Ashwini')
+
+    def test_revati_end(self):
+        """~359° → Revati"""
+        args = type('Args', (), {
+            'moon_lon': 359.0, 'nakshatra': None, 'pada': None,
+            'birthdate': '1990-01-01', 'today': '2026-01-01',
+        })()
+        result = cmd_dasha(args)
+        self.assertEqual(result['moon_nakshatra'], 'Revati')
+
+    def test_jyeshtha(self):
+        """~230° → Jyeshtha (226.67° - 240°)"""
+        args = type('Args', (), {
+            'moon_lon': 230.0, 'nakshatra': None, 'pada': None,
+            'birthdate': '1990-01-01', 'today': '2026-01-01',
+        })()
+        result = cmd_dasha(args)
+        self.assertEqual(result['moon_nakshatra'], 'Jyeshtha')
+
+
+class TestYogaDetection(unittest.TestCase):
+    """测试 Yoga 格局识别"""
+
+    def _make_yoga_args(self, ascendant, planets_str):
+        return type('Args', (), {
+            'ascendant': ascendant,
+            'planets': planets_str,
+        })()
+
+    def test_raja_yoga_detection(self):
+        """测试 Raja Yoga 检测：角宫主+三方主同宫"""
+        # Leo Ascendant: Kendra lords = Sun(1st), Mars(4th/Scorpio), Jupiter(7th/Pisces)
+        # Trikona lords = Sun(1st), Jupiter(5th/Sagittarius)
+        # 如果 Jupiter 和 Sun 都在某宫 → Raja Yoga
+        args = self._make_yoga_args('Leo', 'Sun:Leo:1,Jupiter:Leo:1,Moon:Taurus:10,Mars:Scorpio:4')
+        result = cmd_yoga(args)
+        yogas = result.get('yogas', [])
+        raja = [y for y in yogas if y['name'] == 'Raja Yoga']
+        self.assertTrue(len(raja) > 0, "Should detect Raja Yoga when Sun+Jupiter in 1st house")
+
+    def test_no_yoga_false_positive(self):
+        """测试不满足条件时不产生 Yoga"""
+        # 行星分散，不满足任何 Yoga
+        args = self._make_yoga_args('Aries', 'Sun:Taurus:2,Moon:Gemini:3')
+        result = cmd_yoga(args)
+        yogas = result.get('yogas', [])
+        self.assertEqual(len(yogas), 0, "Should not detect any Yoga with scattered planets")
+
+
+if __name__ == '__main__':
+    unittest.main()