feat(skill): add navamsa and drekkana sensitivity markers
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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** 75 registered techniques (Dashas, Yogas, Shadbala, Ashtakavarga, Transits...)
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2. **Runs** 77 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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| 75 techniques registered | ✅ | ✅ (50+) | ✅ (200+) | ✅ |
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| 77 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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@@ -512,6 +512,48 @@
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"audit_label": "Pushkara",
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"missing_impact": "D9 grace/support layer may be undercounted."
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},
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"navamsa_64th": {
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"name": "64th Navamsa / Chatushashti Navamsa",
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"domains": [
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"varga",
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"nakshatra",
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"crisis",
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"timing"
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],
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"status": "covered",
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"knowledge_refs": [
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"references/navamsa-d9-interpretation-template.md"
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],
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"commands": [
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"scripts/varga.py"
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],
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"output_paths": [
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"scripts.varga.calc_64th_navamsa"
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],
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"audit_label": "64th Navamsa",
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"missing_impact": "A classical stress-sensitive Navamsa trigger is unavailable, weakening vulnerability and event-pressure analysis."
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},
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"drekkana_22nd": {
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"name": "22nd Drekkana",
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"domains": [
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"varga",
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"d30",
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"crisis",
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"timing"
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],
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"status": "covered",
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"knowledge_refs": [
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"references/varga-system-quick-reference.md"
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],
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"commands": [
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"scripts/varga.py"
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],
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"output_paths": [
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"scripts.varga.calc_22nd_drekkana"
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],
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"audit_label": "22nd Drekkana",
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"missing_impact": "A classical danger-sensitive Drekkana trigger is absent, weakening accident and adversity screening."
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},
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"bhava_chalit": {
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"name": "Bhava Chalit",
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"domains": [
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@@ -90,6 +90,42 @@ def calc_varga(lon, div):
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if div==9: r['pada']=pi+1
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return r
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def calc_64th_navamsa(moon_lon: float) -> Dict:
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"""Compute the 64th Navamsa from the Moon's Navamsa position.
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Traditional counting is inclusive, so the 64th point is +63 signs from the
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Moon's Navamsa anchor.
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"""
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base = calc_varga(moon_lon, 9)
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sign_idx = (base['sign_idx'] + 63) % 12
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return {
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'base_navamsa_sign_idx': base['sign_idx'],
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'base_navamsa_sign': base['sign'],
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'offset_from_moon_navamsa': 64,
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'sign_idx': sign_idx,
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'sign': _sn(sign_idx),
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'lord': SIGN_LORDS.get(_sn(sign_idx), ''),
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}
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def calc_22nd_drekkana(lagna_lon: float) -> Dict:
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"""Compute the 22nd Drekkana from the Lagna's Drekkana position.
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Traditional counting is inclusive, so the 22nd point is +21 signs from the
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Lagna Drekkana anchor.
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"""
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base = calc_varga(lagna_lon, 3)
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sign_idx = (base['sign_idx'] + 21) % 12
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return {
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'base_drekkana_sign_idx': base['sign_idx'],
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'base_drekkana_sign': base['sign'],
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'offset_from_lagna_drekkana': 22,
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'sign_idx': sign_idx,
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'sign': _sn(sign_idx),
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'lord': SIGN_LORDS.get(_sn(sign_idx), ''),
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}
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def dignity(planet, sign_idx):
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if planet in EXALT_SIGN and sign_idx==EXALT_SIGN[planet]: return 'Exalted'
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if planet in DEBIL_SIGN and sign_idx==DEBIL_SIGN[planet]: return 'Debilitated'
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@@ -5,7 +5,13 @@ from __future__ import annotations
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from hypothesis import given
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from hypothesis import strategies as st
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from varga import SIGNS, calc_varga, varga_map
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from varga import (
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SIGNS,
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calc_22nd_drekkana,
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calc_64th_navamsa,
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calc_varga,
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varga_map,
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)
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def navamsa_ref(lon: float) -> int:
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@@ -82,3 +88,21 @@ def test_navamsa_matches_user_jhora_pdf_reference_chart() -> None:
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}
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for longitude, expected_sign in expected.items():
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assert calc_varga(longitude, 9)["sign"] == expected_sign
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def test_64th_navamsa_counts_forward_from_moon_navamsa() -> None:
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moon_lon = 42.3
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result = calc_64th_navamsa(moon_lon)
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expected_sign_idx = (navamsa_ref(moon_lon) + 63) % 12
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assert result["sign_idx"] == expected_sign_idx
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assert result["sign"] == SIGNS[expected_sign_idx]
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assert result["offset_from_moon_navamsa"] == 64
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def test_22nd_drekkana_counts_forward_from_lagna_drekkana() -> None:
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asc_lon = 25.5
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result = calc_22nd_drekkana(asc_lon)
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expected_sign_idx = (drekkana_ref(asc_lon) + 21) % 12
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assert result["sign_idx"] == expected_sign_idx
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assert result["sign"] == SIGNS[expected_sign_idx]
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assert result["offset_from_lagna_drekkana"] == 22
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