feat(skill): extend special lagna coverage
This commit is contained in:
732642856
@@ -4,8 +4,8 @@
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[](LICENSE)
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[](https://www.python.org/)
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[](references/technique_registry.json)
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[](references/technique_registry.json)
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[](references/technique_registry.json)
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[](references/technique_registry.json)
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[](references/technique_registry.json)
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[](references/technique_registry.json)
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@@ -31,7 +31,7 @@
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This is a **Vedic (Jyotish) astrology analysis system** designed for deep, auditable full-chart readings. It is NOT a simple ephemeris calculator — it is a multi-stage interpretive pipeline that:
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1. **Computes** divisional charts (D1/D9/D10/...) via Swiss Ephemeris
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2. **Runs** 74 registered techniques (Dashas, Yogas, Shadbala, Ashtakavarga, Transits...)
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2. **Runs** 75 registered techniques (Dashas, Yogas, Shadbala, Ashtakavarga, Transits...)
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3. **Routes** the analysis through strict workflow paths depending on question type (career / relationship / wealth / timing)
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4. **Audits** every technique used — declaring what was called, what is complete/covered, and which limitations affect confidence
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5. **Degrades gracefully** — limitations are labeled, not silently over-promising
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@@ -45,7 +45,7 @@ This is a **Vedic (Jyotish) astrology analysis system** designed for deep, audit
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| Technique Audit Table (confidence labeling) | ✅ | ❌ | ❌ | ❌ |
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| Capability degradation (limits are explicit) | ✅ | ❌ | ❌ | ❌ |
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| MEVG external verification gates | ✅ | ❌ | ❌ | ❌ |
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| 74 techniques registered | ✅ | ✅ (50+) | ✅ (200+) | ✅ |
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| 75 techniques registered | ✅ | ✅ (50+) | ✅ (200+) | ✅ |
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| Traditional algorithm benchmarked | ✅ mixed depth | ✅ | ✅ | ✅ |
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| Docker / MCP Server | ✅ | ❌ | ✅ | ❌ |
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| English docs / PyPI package | ✅ in progress | ✅ | ✅ | ✅ |
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@@ -878,6 +878,32 @@
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"audit_label": "Upapada Lagna",
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"missing_impact": "Marriage quality analysis incomplete without UL."
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},
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"special_lagnas_extended": {
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"name": "Special Lagnas / HL GL VL PP ViL",
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"domains": [
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"lagna",
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"timing",
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"wealth",
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"status"
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],
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"status": "covered",
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"knowledge_refs": [
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"references/open_source_sources/jaimini-tropical/jaimini/core/lagnas.py"
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],
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"commands": [
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"chart",
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"full-reading"
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],
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"output_paths": [
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"special_lagnas.HL",
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"special_lagnas.GL",
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"special_lagnas.VL",
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"special_lagnas.PP",
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"special_lagnas.ViL"
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],
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"audit_label": "Special Lagnas",
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"missing_impact": "Special Lagna timing, status and prosperity sub-angles are thinner without HL/GL/VL/PP/ViL."
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},
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"tithi_lord": {
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"name": "Tithi Lord / 月日守护星",
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"domains": [
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+23
-3
@@ -779,6 +779,9 @@ def calc_special_lagnas_precise(
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hl_idx = ghati_floor % 12 if ghati_floor % 2 else (7 - ghati_floor) % 12
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gl_idx = ghati_floor % 12
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vl_idx = (asc_sign_idx * 3) % 12
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vl_from_hl_idx = (hl_idx * 3) % 12
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pp_idx = (hl_idx + gl_idx) % 12
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vil_idx = int((ghatis * 2)) % 12
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sunrise_local_hours = (sunrise_utc + tz_offset) % 24
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sunrise_local_minutes = int(round(sunrise_local_hours * 60)) % (24 * 60)
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@@ -794,6 +797,8 @@ def calc_special_lagnas_precise(
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'ghatis_elapsed_from_sunrise': round(ghatis, 4),
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'HL': _special_lagna_payload('HL', 'Hora Lagna', hl_idx, fraction * 30.0, ghatis, before_sunrise),
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'GL': _special_lagna_payload('GL', 'Ghati Lagna', gl_idx, fraction * 30.0, ghatis, before_sunrise),
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'PP': _special_lagna_payload('PP', 'Pranapada Lagna', pp_idx, fraction * 30.0, ghatis, before_sunrise),
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'ViL': _special_lagna_payload('ViL', 'Vighati Lagna', vil_idx, fraction * 30.0, ghatis, before_sunrise),
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'VL': {
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'name': 'VL',
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'full_name': 'Varnada Lagna',
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@@ -801,8 +806,13 @@ def calc_special_lagnas_precise(
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'sign_idx': vl_idx,
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'lord': SIGN_LORDS[_sign_name(vl_idx)],
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'method': 'Ascendant sign × 3',
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'vl_from_hl': {
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'sign': _sign_name(vl_from_hl_idx),
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'sign_idx': vl_from_hl_idx,
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'lord': SIGN_LORDS[_sign_name(vl_from_hl_idx)],
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},
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},
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'note': 'HL/GL以出生地日出为起点计算；GL对24分钟边界敏感，出生时间不准时应结合生时校正。'
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'note': 'HL/GL/PP/ViL以出生地日出为起点计算；GL与ViL对细分钟边界敏感，出生时间不准时应结合生时校正。'
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}
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@@ -819,12 +829,22 @@ def calc_special_lagnas(asc_sign_idx: int, hour: int, minute: int = 0) -> Dict:
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hl_idx = ghati_floor % 12 if ghati_floor % 2 else (7 - ghati_floor) % 12
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gl_idx = ghati_floor % 12
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vl_idx = (asc_sign_idx * 3) % 12
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vl_from_hl_idx = (hl_idx * 3) % 12
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pp_idx = (hl_idx + gl_idx) % 12
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vil_idx = int(ghatis * 2) % 12
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return {
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'method': 'Special Lagnas HL/GL/VL simplified (jaimini-tropical MIT adapted; sunrise-sensitive)',
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'capability_status': 'auxiliary_partial',
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'ghatis_elapsed_from_midnight': round(ghatis, 4),
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'HL': {'sign': _sign_name(hl_idx), 'sign_idx': hl_idx, 'lord': SIGN_LORDS[_sign_name(hl_idx)]},
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'GL': {'sign': _sign_name(gl_idx), 'sign_idx': gl_idx, 'lord': SIGN_LORDS[_sign_name(gl_idx)]},
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'VL': {'sign': _sign_name(vl_idx), 'sign_idx': vl_idx, 'lord': SIGN_LORDS[_sign_name(vl_idx)]},
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'note': 'HL/GL/VL对日出非常敏感；本函数用于结构化补齐，精确版本需接入当地日出。'
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'PP': {'sign': _sign_name(pp_idx), 'sign_idx': pp_idx, 'lord': SIGN_LORDS[_sign_name(pp_idx)]},
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'ViL': {'sign': _sign_name(vil_idx), 'sign_idx': vil_idx, 'lord': SIGN_LORDS[_sign_name(vil_idx)]},
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'VL': {
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'sign': _sign_name(vl_idx),
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'sign_idx': vl_idx,
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'lord': SIGN_LORDS[_sign_name(vl_idx)],
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'vl_from_hl': {'sign': _sign_name(vl_from_hl_idx), 'sign_idx': vl_from_hl_idx, 'lord': SIGN_LORDS[_sign_name(vl_from_hl_idx)]},
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},
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'note': 'HL/GL/VL/PP/ViL对日出非常敏感；本函数用于结构化补齐，精确版本需接入当地日出。'
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}
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+17
-1
@@ -150,6 +150,8 @@ class TestSpecialLagnas:
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assert 'HL' in result
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assert 'GL' in result
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assert 'VL' in result
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assert 'PP' in result
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assert 'ViL' in result
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def test_ghatis_calculated(self):
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result = calc_special_lagnas(0, 10, 30)
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@@ -177,10 +179,24 @@ class TestSpecialLagnas:
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assert result['precision'] == 'sunrise_correct'
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assert 'sunrise_local_time' in result
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assert result['ghatis_elapsed_from_sunrise'] > 0
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for key in ['HL', 'GL', 'VL']:
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for key in ['HL', 'GL', 'VL', 'PP', 'ViL']:
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assert result[key]['sign'] in SIGNS
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assert result[key]['lord'] in SIGN_LORDS.values()
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def test_precise_special_lagnas_include_varnada_crosscheck(self):
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result = calc_special_lagnas_precise(
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4, REDACTED_YEAR, 4, 17, 14, 45, lat=36.466667, lon=114.2, tz_offset=8
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)
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assert result['VL']['sign_idx'] == (4 * 3) % 12
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assert 'vl_from_hl' in result['VL']
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def test_precise_special_lagnas_expose_named_extended_payloads(self):
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result = calc_special_lagnas_precise(
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0, 1990, 6, 15, 10, 30, lat=28.6, lon=77.2, tz_offset=5.5
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)
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assert result['PP']['full_name'] == 'Pranapada Lagna'
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assert result['ViL']['full_name'] == 'Vighati Lagna'
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def test_precise_special_lagnas_are_time_sensitive(self):
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morning = calc_special_lagnas_precise(
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0, 1990, 6, 15, 10, 0, lat=28.6, lon=77.2, tz_offset=5.5
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