Jesse_ChenandClaude Opus 5.5
5fd79a5649
/api/chart, /api/dasha and the analysis layer, daily guidance and the KP monthly packet used compute_vimshottari_timeline, which hands build_dasha_timeline only the birth date, so periods started at midnight; cmd_dasha (reports) starts from the birth clock and lays antardashas from the full parent with float days. scripts/chart_dasha/birth_moment.py reproduces cmd_dasha; 60 standard charts: MD and AD 60/60 equal (old chart path 9/60), 51 charts move by at most one day. Frozen scoring files are untouched, so rectification probes keep the day start (left for a product decision). Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
49 lines
1.9 KiB
Python
Executable File
49 lines
1.9 KiB
Python
Executable File
#!/usr/bin/env python3
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"""Monthly five-level Vimshottari snapshots for the KP monthly report."""
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from __future__ import annotations
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from datetime import datetime
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try: # pragma: no cover - import path differs under CLI vs pytest
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from dasha_calculator_enhanced import calculate_five_level_dasha
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from chart_dasha.birth_moment import compute_vimshottari_timeline # issue #137: same start as the report
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except ImportError: # pragma: no cover
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from scripts.dasha_calculator_enhanced import calculate_five_level_dasha
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from scripts.chart_dasha.birth_moment import compute_vimshottari_timeline
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def build_monthly_vimshottari_snapshot(
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*, birth_dt: datetime, moon_lon: float, anchor_dt: datetime
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) -> dict:
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timeline = compute_vimshottari_timeline(
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birth_dt=birth_dt,
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moon_lon=moon_lon,
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current_date=anchor_dt,
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)
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current = timeline.get("current_dasha") or {}
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start_text = current.get("start")
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if start_text:
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current_start = datetime.strptime(start_text, "%Y-%m-%d")
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elapsed_years = max((anchor_dt - current_start).days / 365.25, 0.0)
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else:
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elapsed_years = 0.0
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md_lord = current.get("lord") or timeline.get("birth_balance", {}).get("lord")
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levels = calculate_five_level_dasha(md_lord, elapsed_years)
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return {
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"anchor_date": anchor_dt.strftime("%Y-%m-%d"),
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"timeline": {
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"current_dasha": current,
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"birth_balance": timeline.get("birth_balance"),
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},
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"levels": {
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"mahadasha": levels.get("mahadasha"),
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"antardasha": levels.get("bhukti"),
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"pratyantardasha": levels.get("pratyantar"),
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"sookshma": levels.get("sookshma"),
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"prana": levels.get("prana"),
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},
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"status": "parameter_sensitive",
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"must_not_claim": ["exact_event_timing", "specific_event_prediction"],
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}
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