Jesse_Chen
bab0718700
Web export now calls the same full pack as the long skill report and caches an owner-only Markdown download. Appendix failure stays unavailable and does not change the main report status. Co-authored-by: Cursor <cursoragent@cursor.com>
106 lines
3.7 KiB
Python
Executable File
106 lines
3.7 KiB
Python
Executable File
"""Governed named-yoga draft built from shared Tajika motion evidence.
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This module does not promote named yogas into authority. It packages kernel
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candidate relations into a review-ready draft so the remaining closure can be
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resolved under one governed vocabulary.
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"""
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from __future__ import annotations
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from typing import Any
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try:
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from tajika_kernel import calculate_tajika_interactions
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except ImportError: # pragma: no cover - package import
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from scripts.tajika_kernel import calculate_tajika_interactions
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SCHEMA_VERSION = "jyotish.tajika_named_yoga_governed_draft.v1"
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_CANDIDATE_TO_NAMED = {
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"Ithasala_candidate": "Ithasala",
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"Easarapha_candidate": "Easarapha",
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}
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def build_tajika_named_yoga_governed_draft(planets: dict[str, dict[str, Any]]) -> dict[str, Any]:
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"""Package Tajika kernel candidate relations as a review-only draft."""
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if not isinstance(planets, dict):
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raise ValueError("planets_required")
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kernel = calculate_tajika_interactions(planets)
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if kernel.get("status") == "blocked":
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return {
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"schema_version": SCHEMA_VERSION,
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"status": "blocked",
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"authority_ready": False,
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"claim_boundary": "governed_named_yoga_draft_requires_complete_seven_planet_kernel_inputs",
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"reason": kernel.get("reason") or "tajika_kernel_blocked",
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"missing": list(kernel.get("missing") or []),
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"rows": [],
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"summary": {
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"row_count": 0,
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"named_yoga_counts": {},
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"motion_counts": {},
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},
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"limitations": [
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"kernel_input_missing",
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"no_named_yoga_authority",
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"draft_does_not_promote_verdict",
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],
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}
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rows: list[dict[str, Any]] = []
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for item in kernel.get("candidate_yogas") or []:
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if not isinstance(item, dict):
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continue
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named_yoga = _CANDIDATE_TO_NAMED.get(str(item.get("name") or ""))
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if not named_yoga:
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continue
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rows.append(
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{
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"named_yoga": named_yoga,
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"candidate_name": item.get("name"),
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"planets": list(item.get("planets") or []),
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"aspect": item.get("aspect"),
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"motion": item.get("motion"),
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"average_deeptamsa": item.get("average_deeptamsa"),
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"residual": item.get("residual"),
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"rule_source": item.get("rule_source"),
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"review_status": "governed_seed_resolution_review_required",
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"resolution_state": "governed_seed_resolution_draft",
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"claim_boundary": "candidate_relation_only_no_named_yoga_authority",
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}
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)
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return {
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"schema_version": SCHEMA_VERSION,
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"status": "draft_only",
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"authority_ready": False,
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"claim_boundary": "governed_named_yoga_draft_only_no_named_yoga_verdict_or_promotion",
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"kernel_status": kernel.get("status"),
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"kernel_boundary": kernel.get("boundary"),
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"rows": rows,
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"summary": {
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"row_count": len(rows),
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"named_yoga_counts": _count(rows, "named_yoga"),
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"motion_counts": _count(rows, "motion"),
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},
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"limitations": [
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"candidate_relations_only",
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"no_named_yoga_authority",
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"no_final_judgment",
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"governed_seed_review_required_before_promotion",
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],
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}
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def _count(rows: list[dict[str, Any]], key: str) -> dict[str, int]:
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counts: dict[str, int] = {}
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for row in rows:
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value = row.get(key)
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if value in (None, ""):
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continue
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value = str(value)
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counts[value] = counts.get(value, 0) + 1
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return counts
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