feat: enforce commercial rectification evidence contracts
* feat: enforce precise timing output contract * fix: recognize package imports in fragment audit * test: make workflow stream contract formatting-independent * fix: preserve VedAstro evidence across async workflows * feat: enforce commercial technique truth contract * feat: add rectification technique receipt * feat: extend rectification event evidence * feat: score rectification arudha evidence * feat: gate high rigor rectification confirmation * feat: add controlled transit to rectification * feat: include d11 in rectification finance scoring * feat: add ashtakavarga rectification auxiliary * feat: show rectification technique receipt * feat: use verified shadbala components in rectification * fix: trace transitive script references in fragment audit * feat: run request-level rectification parity packet
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"""Load and apply commercial claim boundaries for restricted techniques.
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This is deliberately a product-owned status contract. It never imports a research
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workspace or reproduces research calculations.
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"""
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from __future__ import annotations
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import copy
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import json
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from pathlib import Path
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from typing import Any
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OVERLAY_PATH = (
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Path(__file__).resolve().parents[1]
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/ "references"
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/ "oracle"
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/ "commercial_skill_truth_overlay.v1.json"
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)
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ORACLE_DIR = OVERLAY_PATH.parent
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TECHNIQUE_TRUTH_IDS = (
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"kp_system",
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"muhurta",
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"gochara_event_timing",
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"sahams",
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"sphuta_trisphuta_family",
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"tajika_yogas",
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"conception_chart",
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"relationship_combinations",
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)
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_BLOCKED_STATUSES = {"blocked", "research_only_blocked"}
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def load_commercial_skill_truth() -> dict[str, Any]:
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"""Return the local, public-safe commercial status contract."""
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with OVERLAY_PATH.open(encoding="utf-8") as handle:
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payload = json.load(handle)
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techniques = payload.get("techniques")
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if not isinstance(techniques, list):
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raise ValueError("commercial technique truth overlay must contain techniques")
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by_id = {item.get("technique_id"): item for item in techniques if isinstance(item, dict)}
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if set(by_id) != set(TECHNIQUE_TRUTH_IDS):
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raise ValueError("commercial technique truth overlay has an unexpected technique set")
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return payload
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def apply_commercial_skill_truth(result: dict[str, Any]) -> dict[str, Any]:
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"""Attach immutable claim limits to a server workflow receipt."""
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enriched = copy.deepcopy(result)
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techniques = load_commercial_skill_truth()["techniques"]
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blocked = [item["technique_id"] for item in techniques if item["status"] in _BLOCKED_STATUSES]
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restricted = [item["technique_id"] for item in techniques]
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enriched["technique_truth"] = {
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"status": "restricted",
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"techniques": techniques,
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"blocked_techniques": blocked,
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"reference_only_techniques": [
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item["technique_id"] for item in techniques if item["status"] == "reference_only"
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],
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"partial_techniques": [
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item["technique_id"]
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for item in techniques
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if item["status"] in {"partial", "partial_registry_only"}
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],
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}
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answer_policy = enriched.setdefault("answer_policy", {})
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answer_policy["deterministic_claims_forbidden_for"] = restricted
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answer_policy["blocked_techniques"] = blocked
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answer_policy["technique_truth_status"] = "restricted"
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evidence_status = _commercial_evidence_status()
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enriched["commercial_evidence_status"] = evidence_status
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consumer_context = enriched.get("consumer_context")
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if isinstance(consumer_context, dict):
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consumer_context["technique_truth"] = enriched["technique_truth"]
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consumer_context["commercial_evidence_status"] = evidence_status
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return enriched
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def _read_local_object(filename: str) -> dict[str, Any]:
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try:
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with (ORACLE_DIR / filename).open(encoding="utf-8") as handle:
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payload = json.load(handle)
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except (OSError, json.JSONDecodeError):
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return {}
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return payload if isinstance(payload, dict) else {}
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def _commercial_evidence_status() -> dict[str, Any]:
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"""Summarize local evidence state without returning raw external responses."""
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vedastro = _read_local_object("vedastro_identity_archive_2026_07_19.json")
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mismatch = _read_local_object("three_engine_mismatch_arbitration_2026_07_19.json")
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return {
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"claim_audit": {
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"status": "contract_enforced",
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"scope": "commercial_claim_boundaries",
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},
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"vedastro_identity": {
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"status": vedastro.get("self_host_candidate_status") or "not_archived",
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"hosted_identity": "runtime_evidence_required",
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},
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"three_engine_mismatch": {
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"status": mismatch.get("status") or "not_assessed",
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"truth_policy": mismatch.get("truth_policy") or "no_majority_vote",
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"mismatch_count": mismatch.get("mismatch_count"),
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"category_counts": mismatch.get("category_counts") or {},
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},
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}
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