Merge PR #49: pass birth-time accuracy truth into consultation engine

Reviewed: tsc + consult 295 + rectification 747 + python suites green;
guard functions and window/general instructions verified unchanged.
Conflict: BUG entry renumbered 467→468 (467 taken by report-extraction).
Review fix: test_consultation_birth_accuracy.py added to CORE_PYTEST_TARGETS
(pytest-style file outside the rectification glob would never hit the auto gate).

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_0155nFCgCHtoA7jhSDGmZmMu

tests/test_consultation_birth_accuracy.py

@@ -0,0 +1,128 @@
+#!/usr/bin/env python3
+"""Consultation birth-time accuracy truth-passing invariants."""
+
+from __future__ import annotations
+
+import os
+import re
+import sys
+
+SCRIPTS = os.path.join(os.path.dirname(__file__), '..', 'scripts')
+if SCRIPTS not in sys.path:
+    sys.path.insert(0, SCRIPTS)
+
+from birth_time_rectifier import get_effective_accuracy, get_enabled_vargas  # noqa: E402
+from jyotish_api_server import JyotishAPIHandler, _build_consumer_context  # noqa: E402
+
+CANDIDATE_WINDOW_COPY = re.compile(
+    r'candidate windows|not_auto_rectified|按时间范围|建议先做事件反验',
+    re.I,
+)
+PRECISION_ANNOTATION_COPY = re.compile(r'填报时间|标注精度|precision', re.I)
+
+
+def _handler() -> JyotishAPIHandler:
+    handler = JyotishAPIHandler.__new__(JyotishAPIHandler)
+    handler._compute_vedastro_gateway_run = lambda body: {  # type: ignore[method-assign]
+        'status': 'official_blocked',
+        'official_closure_reason': 'accuracy_contract_probe',
+    }
+    return handler
+
+
+def _gate(declared_accuracy: str, time_source: str) -> dict:
+    return _handler()._compute_rectification_gate({
+        'planets': {
+            'Sun': {'lon': 80.0},
+            'Moon': {'lon': 123.0},
+            'Mars': {'lon': 210.0},
+            'Mercury': {'lon': 75.0},
+            'Jupiter': {'lon': 15.0},
+            'Venus': {'lon': 102.0},
+            'Saturn': {'lon': 330.0},
+            'Rahu': {'lon': 5.0},
+            'Ketu': {'lon': 185.0},
+        },
+        'ascendant': {'lon': 15.0},
+        'declared_accuracy': declared_accuracy,
+        'time_source': time_source,
+    })
+
+
+def _consumer(rectification: dict) -> dict:
+    return _build_consumer_context(
+        question='我的事业接下来怎么走',
+        route_packet={'question_type': 'career', 'primary_theme': 'career'},
+        chart={'success': True},
+        rectification=rectification,
+        machine_evidence_packet={'sections': {'D1': {'status': 'used'}, 'D9': {'status': 'used'}, 'D10': {'status': 'used'}}},
+        vedastro_official={'status': 'blocked'},
+    )
+
+
+def _joined_boundaries(context: dict) -> str:
+    return ' '.join(str(value) for value in context.get('domain_boundaries', {}).values())
+
+
+def test_hospital_gate_is_minute_with_d9_d10_and_no_uncertainty_boundary() -> None:
+    result = _gate('minute', 'hospital')
+    context = _consumer(result)
+
+    assert result['effective_accuracy'] == 'minute'
+    assert result['lagna_boundary']['is_sensitive'] is False
+    assert result['enabled_vargas']['D9'] == 'enabled'
+    assert result['enabled_vargas']['D10'] == 'enabled'
+    assert 'birth_time_uncertainty_boundary' not in context['domain_boundaries']
+    assert CANDIDATE_WINDOW_COPY.search(_joined_boundaries(context)) is None
+
+
+def test_family_exact_and_approximate_use_precision_annotation_not_candidate_windows() -> None:
+    family = _gate('minute', 'family_clear')
+    approximate = _gate('15min', 'family_vague')
+
+    assert family['effective_accuracy'] == '5min'
+    assert approximate['effective_accuracy'] == '15min'
+    assert '按填报时间排盘' in family['summary']['headline']
+    assert '按填报时间排盘' in approximate['summary']['headline']
+    assert CANDIDATE_WINDOW_COPY.search(family['summary']['headline']) is None
+    assert CANDIDATE_WINDOW_COPY.search(approximate['summary']['headline']) is None
+
+    family_context = _consumer(family)
+    approximate_context = _consumer(approximate)
+    for context in (family_context, approximate_context):
+        joined = _joined_boundaries(context)
+        assert CANDIDATE_WINDOW_COPY.search(joined) is None
+        assert PRECISION_ANNOTATION_COPY.search(joined)
+        assert 'not_auto_rectified' not in context.get('domain_context_layers', [])
+
+
+def test_five_min_and_fifteen_min_vargas_are_not_unknown() -> None:
+    unknown = get_enabled_vargas('unknown')
+    five = get_enabled_vargas('5min')
+    fifteen = get_enabled_vargas('15min')
+
+    assert five != unknown
+    assert fifteen != unknown
+    assert five['D1'] == 'enabled'
+    assert five['D9'] == 'enabled'
+    assert five['D10'] == 'enabled'
+    assert five['D5'] == 'enabled_with_warning'
+    assert five['D4'] == 'enabled_with_warning'
+    assert five['D7'] == 'enabled_with_warning'
+    assert five['D30'] == 'disabled'
+    assert five['D60'] == 'disabled'
+    assert fifteen['D1'] == 'enabled'
+    assert fifteen['D9'] == 'enabled'
+
+
+def test_rectified_and_hospital_effective_accuracy_stay_precise() -> None:
+    assert get_effective_accuracy('rectified', 'rectified') == 'rectified'
+    assert get_effective_accuracy('minute', 'hospital') == 'minute'
+    assert get_effective_accuracy('minute', 'family_clear') == '5min'
+    assert get_effective_accuracy('15min', 'family_vague') == '15min'
+
+    rectified = _gate('rectified', 'rectified')
+    context = _consumer(rectified)
+    assert rectified['effective_accuracy'] == 'rectified'
+    assert 'birth_time_uncertainty_boundary' not in context['domain_boundaries']
+    assert CANDIDATE_WINDOW_COPY.search(_joined_boundaries(context)) is None