732642856
f83db2fac1
- add external validation reports and open-source comparison references - integrate Jaimini arudha/graha pada, enhanced argala, and additional synastry kutas - update skill docs and capability matrices - add smoke tests for open-source integrations
129 lines
4.7 KiB
Python
129 lines
4.7 KiB
Python
from .constants import ZODIAC_SIGNS
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# 1-indexed houses from the placement of the planet
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ASHTAKAVARGA_TABLES = {
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"Sun": {
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"Sun": [1, 2, 4, 7, 8, 9, 10, 11],
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"Moon": [3, 6, 10, 11],
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"Mars": [1, 2, 4, 7, 8, 9, 10, 11],
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"Mercury": [3, 5, 6, 9, 10, 11, 12],
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"Jupiter": [5, 6, 9, 11],
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"Venus": [6, 7, 12],
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"Saturn": [1, 2, 4, 7, 8, 9, 10, 11],
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"Ascendant": [3, 4, 6, 10, 11, 12]
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},
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"Moon": {
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"Sun": [3, 6, 7, 8, 10, 11],
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"Moon": [1, 3, 6, 7, 10, 11],
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"Mars": [2, 3, 5, 6, 9, 10, 11],
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"Mercury": [1, 3, 4, 5, 7, 8, 10, 11],
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"Jupiter": [1, 4, 7, 8, 10, 11, 12],
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"Venus": [3, 4, 5, 7, 9, 10, 11],
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"Saturn": [3, 5, 6, 11],
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"Ascendant": [3, 6, 10, 11]
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},
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"Mars": {
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"Sun": [3, 5, 6, 10, 11],
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"Moon": [3, 6, 11],
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"Mars": [1, 2, 4, 7, 8, 10, 11],
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"Mercury": [3, 5, 6, 11],
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"Jupiter": [6, 10, 11, 12],
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"Venus": [6, 8, 11, 12],
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"Saturn": [1, 4, 7, 8, 9, 10, 11],
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"Ascendant": [1, 3, 6, 10, 11]
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},
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"Mercury": {
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"Sun": [5, 6, 9, 11, 12],
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"Moon": [2, 4, 6, 8, 10, 11],
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"Mars": [1, 2, 4, 7, 8, 9, 10, 11],
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"Mercury": [1, 3, 5, 6, 9, 10, 11, 12],
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"Jupiter": [6, 8, 11, 12],
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"Venus": [1, 2, 3, 4, 5, 8, 9, 11],
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"Saturn": [1, 2, 4, 7, 8, 9, 10, 11],
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"Ascendant": [1, 2, 4, 6, 8, 10, 11]
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},
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"Jupiter": {
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"Sun": [1, 2, 3, 4, 7, 8, 9, 10, 11],
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"Moon": [2, 5, 7, 9, 11],
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"Mars": [1, 2, 4, 7, 8, 10, 11],
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"Mercury": [1, 2, 4, 5, 6, 9, 10, 11],
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"Jupiter": [1, 2, 3, 4, 7, 8, 10, 11],
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"Venus": [2, 5, 6, 9, 10, 11],
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"Saturn": [3, 5, 6, 12],
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"Ascendant": [1, 2, 4, 5, 6, 7, 9, 10, 11]
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},
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"Venus": {
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"Sun": [8, 11, 12],
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"Moon": [1, 2, 3, 4, 5, 8, 9, 11, 12],
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"Mars": [3, 5, 6, 9, 11, 12],
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"Mercury": [3, 5, 6, 9, 11],
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"Jupiter": [5, 8, 9, 10, 11],
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"Venus": [1, 2, 3, 4, 5, 8, 9, 10, 11],
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"Saturn": [3, 4, 5, 8, 9, 10, 11],
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"Ascendant": [1, 2, 3, 4, 5, 8, 9, 11]
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},
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"Saturn": {
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"Sun": [1, 2, 4, 7, 8, 10, 11],
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"Moon": [3, 6, 11],
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"Mars": [3, 5, 6, 10, 11, 12],
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"Mercury": [6, 8, 9, 10, 11, 12],
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"Jupiter": [5, 6, 11, 12],
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"Venus": [6, 11, 12],
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"Saturn": [3, 5, 6, 11],
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"Ascendant": [1, 3, 4, 6, 10, 11]
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}
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}
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def calculate_ashtakavarga(planets_in_signs: dict, ascendant_sign_idx: int):
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"""
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Calculates Sarvashtakavarga (SAV) and Bhinnashtakavarga (BAV).
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planets_in_signs dict maps "Sun", "Moon", etc. to their 0-11 sign index.
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Returns a dict with 'sarvashtakavarga' (list of 12 ints mapping to ZODIAC_SIGNS)
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and 'bhinnashtakavarga' mapping each planet to their 12-sign array.
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"""
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# Initialize all BAV arrays with 0
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bav = {p: [0]*12 for p in ASHTAKAVARGA_TABLES.keys()}
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sav = [0]*12
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# Extend planets dict with Ascendant for calculation
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positions = planets_in_signs.copy()
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positions["Ascendant"] = ascendant_sign_idx
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for target_planet, contributions in ASHTAKAVARGA_TABLES.items():
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for source_point, houses_list in contributions.items():
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source_idx = positions[source_point]
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for h in houses_list:
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# h is 1-indexed house from the source planet.
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# So if source is at idx 0 (Aries) and h=1, target sign is 0 (Aries)
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target_sign_idx = (source_idx + (h - 1)) % 12
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bav[target_planet][target_sign_idx] += 1
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sav[target_sign_idx] += 1
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# Return as a dict mapped to Zodiac Sign names for easier LLM reading
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sav_dict = {ZODIAC_SIGNS[i]: sav[i] for i in range(12)}
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bav_dict = {}
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for p, arr in bav.items():
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bav_dict[p] = {ZODIAC_SIGNS[i]: arr[i] for i in range(12)}
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# Prashtarashtakavarga (expanded scatter chart)
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# For each target planet, shows which source contributed bindus to which sign
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prashtara = {}
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for target_planet, contributions in ASHTAKAVARGA_TABLES.items():
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prashtara[target_planet] = {}
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for source_point, houses_list in contributions.items():
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source_idx = positions[source_point]
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row = [0] * 12
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for h in houses_list:
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target_sign_idx = (source_idx + (h - 1)) % 12
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row[target_sign_idx] = 1
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prashtara[target_planet][source_point] = {ZODIAC_SIGNS[i]: row[i] for i in range(12)}
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return {
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"sarvashtakavarga": sav_dict,
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"bhinnashtakavarga": bav_dict,
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"prashtarashtakavarga": prashtara,
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"total_bindus": sum(sav) # Should be 337
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}
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