732642856
110 lines
3.6 KiB
Python
110 lines
3.6 KiB
Python
#!/usr/bin/env python3
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"""Guardrails for Prashna question-moment evidence in strict reports."""
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from __future__ import annotations
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from copy import deepcopy
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import mcp_server
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def _strict_report() -> dict:
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return {
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"question_type": "career",
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"present_evidence": {},
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"event_judgement": {
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"score": 72,
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"verdict": "supportive_window",
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"dominant_label": "career_status",
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"primary_drivers": ["dasha_support"],
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},
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"score": 72,
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"verdict": "supportive_window",
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"dominant_label": "career_status",
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"confidence_cap": "medium",
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"technique_audit": [],
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"technique_audit_summary": {},
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}
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def _judgement(strict: dict) -> dict:
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event = strict["event_judgement"]
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return {
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"score": strict["score"],
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"verdict": strict["verdict"],
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"dominant_label": strict["dominant_label"],
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"confidence_cap": strict["confidence_cap"],
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"event_score": event["score"],
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"event_verdict": event["verdict"],
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"event_label": event["dominant_label"],
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"primary_drivers": deepcopy(event["primary_drivers"]),
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}
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def test_prashna_request_adds_guarded_evidence_without_adjudication_effect(monkeypatch) -> None:
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monkeypatch.setattr(
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"scripts.prashna_context.build_prashna_context",
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lambda payload: {
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"scope": "prashna_context",
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"status": "computed",
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"chart_source": "swiss_ephemeris_backend",
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"result_hash": "prashna-hash",
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"blocked_layers": ["Prashna verdict"],
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},
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)
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strict = _strict_report()
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before = _judgement(strict)
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result = mcp_server._attach_prashna_guarded_evidence(
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"career",
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strict,
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question="Will this project succeed?",
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prashna_request={
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"question_timestamp": "2026-07-16T12:00:00+08:00",
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"lat": 31.2304,
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"lon": 121.4737,
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"timezone": 8,
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},
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)
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assert _judgement(result) == before
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assert result["present_evidence"]["prashna_context"]["result_hash"] == "prashna-hash"
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integration = result["present_evidence"]["prashna_integration"]
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assert integration["status"] == "guarded_evidence"
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assert integration["adjudication_effect"] == "none"
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row = next(item for item in result["technique_audit"] if item["technique"] == "Prashna Integration")
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assert row["effect_on_score"] == "none"
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def test_prashna_request_rejects_client_chart_injection() -> None:
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result = mcp_server._attach_prashna_guarded_evidence(
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"career",
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_strict_report(),
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question="Will this project succeed?",
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prashna_request={
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"question_timestamp": "2026-07-16T12:00:00+08:00",
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"lat": 31.2304,
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"lon": 121.4737,
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"timezone": 8,
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"planets": {"Sun": 0},
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},
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)
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integration = result["present_evidence"]["prashna_integration"]
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assert integration["status"] == "blocked"
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assert integration["reason"] == "client_supplied_prashna_chart_forbidden:planets"
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assert "prashna_context" not in result["present_evidence"]
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def test_prashna_request_requires_question_moment_location() -> None:
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result = mcp_server._attach_prashna_guarded_evidence(
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"career",
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_strict_report(),
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question="Will this project succeed?",
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prashna_request={"question_timestamp": "2026-07-16T12:00:00+08:00"},
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)
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integration = result["present_evidence"]["prashna_integration"]
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assert integration["status"] == "blocked"
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assert integration["reason"] == "missing_prashna_fields:lat,lon,timezone"
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