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Harden high-rigor Jyotish timing workflow

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This commit is contained in:
732642856
2026-07-01 19:15:35 +08:00
parent 6276309d41
commit 5a76abf8d6
87 changed files with 17685 additions and 382 deletions
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tests/test_vedastro_evidence_orchestrator.py
+135
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@@ -11,6 +11,55 @@ def test_vedastro_evidence_orchestrator_routes_to_minimal_domain_set(monkeypatch
calls = []
def fake_snapshot(case, *, case_id="user_chart"):
return {
"backend": "vedastro_service_adapter_candidate",
"available": True,
"status": "ok",
"operation": "official_full_snapshot",
"primary_source": "vedastro_official",
"snapshot_sections": {"chart_core": {}, "house_core": {}},
"source_metadata": {
"official_python_path": "vedastro_official_capability_runner",
"official_python_bundle": {
"status": "ok",
"coverage": {"source_mode": "official_capability_runner_bundle"},
},
"official_full_capability_catalog": {
"status": "partial",
"summary": {"catalog_method_count": 641, "executed_method_count": 80},
"domain_routing": {
"marriage": {
"method_count": 8,
"auto_method_count": 5,
"needs_user_context_count": 1,
"needs_user_text_count": 0,
"blocked_method_count": 2,
"high_priority_methods": ["SearchEvents", "DasaAtRange"],
}
},
"dynamic_selection": {
"marriage": {
"requested_theme": "marriage",
"selected_methods": [
{"method": "SearchEvents", "citation_id": "vedastro:marriage:SearchEvents", "execution_policy": "auto"},
],
"needs_user_context_methods": [
{"method": "MatchReport", "citation_id": "vedastro:marriage:MatchReport", "execution_policy": "needs_user_context"},
],
"report_reference": {
"theme": "marriage",
"citation_ids": ["vedastro:marriage:SearchEvents"],
"auto_count": 1,
"needs_user_context_count": 1,
"blocked_count": 0,
},
}
},
},
},
}
def fake_scan(case, domain, start_date, end_date, case_id):
calls.append((domain, start_date, end_date, case_id, case["year"]))
return {
@@ -24,6 +73,7 @@ def test_vedastro_evidence_orchestrator_routes_to_minimal_domain_set(monkeypatch
"source_metadata": {"endpoint_host": "api.vedastro.org"},
}
monkeypatch.setattr(orchestrator, "run_official_full_snapshot_for_case", fake_snapshot)
monkeypatch.setattr(orchestrator, "run_range_scan_for_case", fake_scan)
result = orchestrator.orchestrate_vedastro_evidence(
@@ -44,6 +94,15 @@ def test_vedastro_evidence_orchestrator_routes_to_minimal_domain_set(monkeypatch
assert [call[0] for call in calls] == ["marriage"]
assert result["source_metadata"]["auto_ingested_by"] == "VedAstroEvidenceOrchestrator"
assert result["source_metadata"]["node_coverage"]["strategy"] == "domain_scoped_range_scan"
assert result["source_metadata"]["official_python_path"] == "vedastro_official_capability_runner"
assert result["source_metadata"]["official_python_bundle_status"] == "ok"
assert result["source_metadata"]["official_full_capability_catalog_status"] == "partial"
assert result["source_metadata"]["official_full_capability_catalog_summary"]["catalog_method_count"] == 641
assert result["source_metadata"]["official_full_capability_domain_routing"]["marriage"]["auto_method_count"] == 5
assert result["source_metadata"]["official_full_capability_dynamic_selection"]["marriage"]["report_reference"]["auto_count"] == 1
assert result["source_metadata"]["official_report_references"]["marriage"]["citation_ids"] == ["vedastro:marriage:SearchEvents"]
assert result["source_metadata"]["node_coverage"]["official_full_capability_theme_routing"] is True
assert result["source_metadata"]["node_coverage"]["official_full_capability_dynamic_selection"] is True
assert result["event_count"] == 1
@@ -55,3 +114,79 @@ def test_api_and_mcp_use_shared_vedastro_evidence_orchestrator() -> None:
assert "orchestrate_vedastro_evidence" in api
assert "vedastro_evidence_orchestrator" in mcp
assert "orchestrate_vedastro_evidence" in mcp
def test_vedastro_orchestrator_surfaces_official_section_statuses_and_theme_requirements(monkeypatch) -> None:
from scripts import vedastro_evidence_orchestrator as orchestrator
monkeypatch.setattr(
orchestrator,
"run_official_full_snapshot_for_case",
lambda *args, **kwargs: {
"status": "partial",
"available": True,
"official_chart": {"planets": {"Sun": {}}, "ascendant": {"sign": "Leo"}},
"section_statuses": {"chart_core": "ok", "dasha_all": "ok", "events_overview": "partial"},
"source_metadata": {},
},
)
monkeypatch.setattr(
orchestrator,
"run_range_scan_for_case",
lambda *args, **kwargs: {
"status": "ok",
"available": True,
"event_count": 1,
"evidence_ledger": [],
},
)
result = orchestrator.orchestrate_vedastro_evidence(
{
"year": REDACTED_YEAR,
"month": 4,
"day": 17,
"hour": 14,
"minute": 49,
"lat": 36.42,
"lon": 114.2,
"tz": 8,
},
route="relationship",
reference_date="2026-06-29",
)
assert result["source_metadata"]["official_section_statuses"]["dasha_all"] == "ok"
assert result["source_metadata"]["theme_requirements"]["route"] == "relationship"
assert result["source_metadata"]["theme_requirements"]["requires_dual_dasha"] is True
def test_vedastro_orchestrator_surfaces_daily_windows_by_domain(monkeypatch) -> None:
from scripts import vedastro_evidence_orchestrator as orchestrator
monkeypatch.setattr(
orchestrator,
"run_official_full_snapshot_for_case",
lambda *args, **kwargs: {"status": "ok", "source_metadata": {}},
)
monkeypatch.setattr(
orchestrator,
"run_range_scan_for_case",
lambda *args, **kwargs: {
"status": "ok",
"available": True,
"event_count": 2,
"daily_windows": [{"date": "2026-07-18", "domain": "career", "score": 5, "event_count": 2}],
"top_daily_window": {"date": "2026-07-18", "domain": "career", "score": 5, "event_count": 2},
"evidence_ledger": [],
},
)
result = orchestrator.orchestrate_vedastro_evidence(
{"year": REDACTED_YEAR, "month": 4, "day": 17, "hour": 14, "minute": 49, "lat": 36.42, "lon": 114.2, "tz": 8},
route="career",
reference_date="2026-06-30",
)
assert result["daily_windows_by_domain"]["career"][0]["date"] == "2026-07-18"
assert result["top_daily_window_by_domain"]["career"]["score"] == 5