- seed rath_highest_occupant_dignity_v1 (named convention; equal tier below own sign blocks the seed) - AD direction profiles rath_p50_md_parity_v1 / rath_stronger_lord_start_parity_v1 (default, pending choice) - Saturn+Ketu in seed / MD sign blocked; PyJHora Ketu priority only as named reference profile - 0-year MD rows flagged, never current, skipped on the annual timeline; years profile rath_table8_phalita_dignity_v1 - KP DBA year_days 365.25 default, parent/AD/full/visible fields, boundaries equal main Vimshottari - functional profile pvr_table30_v1 (aliases), Moon-only blocked without paksha; profile through API, cache keys, audit; rectification asserts one profile per run - golden recaptured with TTL=0 Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01DbBXoyn7Hj3LCW3BUs5bZ8
57 lines
2.2 KiB
Python
57 lines
2.2 KiB
Python
"""One functional benefic/malefic snapshot for the engine, API, and MCP.
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This module is not ``functional_benefics.py``. Every product surface,
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rectification scoring included (BUG-1759, product 2026-11-08), takes the
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default ``pvr_table30_v1`` (alias ``pvr_table_30``); ``bphs_exception_profile`` is a comparison only.
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"""
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from __future__ import annotations
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from typing import Any
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def functional_layer_for_ascendant(
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ascendant: Any,
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planets: Any = None,
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*,
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functional_profile: str | None = None,
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) -> dict[str, Any]:
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"""Return the functional layer for an ascendant payload.
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A dict uses its ``sign``. Anything else is a missing sign and follows
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the normal ``derive_functional_benefic_malefic`` blocked result.
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Import or calculation failures return the engine's blocked shape.
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The exception text stays inside ``effect_on_confidence`` because that
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field already did; callers must not write this dict to a log.
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占星师 2026-11-08 第五轮裁定 3: the default profile is PVR Table 30
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(``functional_benefics.DEFAULT_FUNCTIONAL_PROFILE``). ``planets`` (Sun and
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Moon longitudes) gives the Moon's paksha, which Table 30's note needs for
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Aries / Libra / Capricorn lagnas.
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"""
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try:
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try:
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import functional_benefics as fb
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except ModuleNotFoundError:
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from scripts import functional_benefics as fb
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sign = ascendant.get("sign") if isinstance(ascendant, dict) else None
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return fb.derive_functional_benefic_malefic(
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sign,
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functional_profile=functional_profile or fb.DEFAULT_FUNCTIONAL_PROFILE,
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moon_paksha=fb.moon_paksha_from_planets(planets),
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)
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except Exception as exc:
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sign = ascendant.get("sign") if isinstance(ascendant, dict) else None
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return {
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"status": "blocked",
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"ascendant": sign,
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"functional_benefics": [],
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"functional_malefics": [],
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"functional_neutrals": [],
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"yogakarakas": [],
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"owned_houses": {},
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"effect_on_confidence": f"未完成功能性吉凶星判定,需降低高严谨结论置信度: {exc}",
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"source": "strict_functional_benefic_malefic_v2",
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}
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