732642856
296 lines
11 KiB
Python
296 lines
11 KiB
Python
#!/usr/bin/env python3
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"""Regression tests for Life Event Graph v1."""
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from __future__ import annotations
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from mcp_server import _build_life_event_graph, _collect_strict_evidence
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def test_life_event_graph_folds_strict_evidence_and_vedastro_top_event() -> None:
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strict = {
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"question_type": "relationship",
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"event_judgement": {
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"event_family": "relationship",
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"score": 85,
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"verdict": "high_probability_window",
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"dominant_label": "legal_marriage",
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"secondary_context": [
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"darakaraka_active",
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"jaimini_support",
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"ul_support",
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"external_activation_support",
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"synastry_support",
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"synastry_compatibility_support",
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"synastry_protective_kuta_support",
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],
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"primary_drivers": [
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"marriage_convergence",
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"vimshottari_current",
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"narayana_current",
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"darakaraka",
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"upapada_lagna",
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],
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},
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"present_evidence": {
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"vimshottari_current": {"mahadasha": "Venus", "antardasha": "Moon"},
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"narayana_current": {"sign": "Libra", "lord": "Venus"},
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"marriage_convergence": {"convergence_level": "L4", "probability": "70-85%"},
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"external_activation": {
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"level": "moderate",
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"source": "vedastro_service_adapter_candidate",
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"signals": ["vedastro_range_scan"],
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"events": [
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{
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"event_id": "GocharJupiterIn7th",
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"signal_key": "gochar_jupiter_7th_marriage",
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"signal_label": "Jupiter in 7th marriage window",
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"signal_family": "marriage_trigger",
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"score": 72,
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"start": "2026-05-01",
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"end": "2026-06-01",
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"tags": ["marriage", "transit"],
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}
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],
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},
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},
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"confidence_cap": "medium-high",
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"missing_evidence": [],
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"blocked": False,
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}
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graph = _build_life_event_graph("relationship", strict)
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assert graph["version"] == "life_event_graph_v1"
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assert graph["route"] == "relationship"
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assert graph["dominant_label"] == "legal_marriage"
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assert graph["confidence_cap"] == "medium-high"
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assert graph["blocked"] is False
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assert graph["event_nodes"][0] == {
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"kind": "judgement",
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"label": "legal_marriage",
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"verdict": "high_probability_window",
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"score": 85,
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"source": "strict_workflow",
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}
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assert graph["event_nodes"][1] == {
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"kind": "dasha_window",
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"label": "Venus/Moon",
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"source": "vimshottari_current",
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}
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assert graph["event_nodes"][2] == {
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"kind": "dasha_window",
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"label": "Libra/Venus",
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"source": "narayana_current",
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}
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assert graph["event_nodes"][3] == {
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"kind": "convergence",
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"label": "marriage_convergence",
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"level": "L4",
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"probability": "70-85%",
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"source": "dasa_convergence",
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}
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assert graph["event_nodes"][4] == {
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"kind": "external_window",
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"label": "Jupiter in 7th marriage window",
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"event_id": "GocharJupiterIn7th",
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"signal_key": "gochar_jupiter_7th_marriage",
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"signal_family": "marriage_trigger",
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"score": 72,
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"start": "2026-05-01",
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"end": "2026-06-01",
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"tags": ["marriage", "transit"],
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"source": "vedastro_service_adapter_candidate",
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}
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assert {
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"kind": "context",
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"label": "synastry_compatibility_support",
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"source": "event_judgement.secondary_context",
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} in graph["event_nodes"]
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assert {
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"kind": "context",
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"label": "synastry_protective_kuta_support",
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"source": "event_judgement.secondary_context",
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} in graph["event_nodes"]
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def test_life_event_graph_is_returned_from_strict_relationship_evidence() -> None:
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result = {
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"modules": {
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"varga_full": {"D9_Navamsa": {"summary": "ok"}},
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"special_lagnas": {"Upapada_Lagna": {"sign": "Libra", "lord": "Venus"}},
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"jaimini": {
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"darakaraka": {"planet": "Venus", "house": 7},
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"marriage_support": {"dk_7h_link": True},
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},
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"vivah_saham": {"sign": "Taurus", "house": 7},
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"dasha": {"current_dasha": {"mahadasha": "Venus", "antardasha": "Moon"}},
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"narayana_dasha": {"current_dasha": {"sign": "Libra", "lord": "Venus"}},
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"dasa_convergence": {
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"domain_activations": {
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"marriage_partnership": {"convergence_level": "L4", "probability": "70-85%"}
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}
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},
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"external_activation": {
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"evidence_ledger": [
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{
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"source": "vedastro_service_adapter_candidate",
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"operation": "range_scan",
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"domain": "marriage",
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"event_id": "GocharJupiterIn7th",
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"signal_key": "gochar_jupiter_7th_marriage",
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"signal_label": "Jupiter in 7th marriage window",
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"signal_family": "marriage_trigger",
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"score": 72,
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"start": "2026-05-01",
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"end": "2026-06-01",
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"tags": ["marriage", "transit"],
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}
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]
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},
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}
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}
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strict = _collect_strict_evidence("relationship", result)
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assert strict["life_event_graph"]["version"] == "life_event_graph_v1"
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assert strict["life_event_graph"]["route"] == "relationship"
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assert strict["life_event_graph"]["dominant_label"] == "legal_marriage"
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assert any(node["kind"] == "external_window" for node in strict["life_event_graph"]["event_nodes"])
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def test_strict_workflow_accepts_adapter_range_scan_result_without_manual_repackaging() -> None:
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result = {
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"modules": {
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"varga_full": {"D9_Navamsa": {"summary": "ok"}},
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"special_lagnas": {"Upapada_Lagna": {"sign": "Libra", "lord": "Venus"}},
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"jaimini": {
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"darakaraka": {"planet": "Venus", "house": 7},
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"marriage_support": {"dk_7h_link": True},
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},
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"vivah_saham": {"sign": "Taurus", "house": 7},
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"dasha": {"current_dasha": {"mahadasha": "Venus", "antardasha": "Moon"}},
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"narayana_dasha": {"current_dasha": {"sign": "Libra", "lord": "Venus"}},
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"dasa_convergence": {
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"domain_activations": {
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"marriage_partnership": {"convergence_level": "L4", "probability": "70-85%"}
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}
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},
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"vedastro_range_scan_result": {
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"backend": "vedastro_service_adapter_candidate",
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"available": True,
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"status": "ok",
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"operation": "range_scan",
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"domain": "marriage",
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"evidence_ledger": [
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{
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"source": "vedastro_service_adapter_candidate",
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"operation": "range_scan",
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"domain": "marriage",
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"event_id": "GocharJupiterIn7th",
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"signal_key": "gochar_jupiter_7th_marriage",
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"signal_label": "Jupiter in 7th marriage window",
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"signal_family": "marriage_trigger",
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"score": 72,
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"start": "2026-05-01",
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"end": "2026-06-01",
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"tags": ["marriage", "transit"],
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}
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],
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"source_metadata": {
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"request_hash": "a" * 64,
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"response_hash": "b" * 64,
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"artifact_path": "scratch/local/vedastro_adapter/range.json",
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},
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},
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}
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}
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strict = _collect_strict_evidence("relationship", result)
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external = strict["present_evidence"]["external_activation"]
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assert external["level"] == "moderate"
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assert external["source"] == "vedastro_service_adapter_candidate"
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assert external["provenance"]["request_hash"] == "a" * 64
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assert any(node["kind"] == "external_window" for node in strict["life_event_graph"]["event_nodes"])
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def test_life_event_graph_surfaces_main_entry_overview_boundary_node() -> None:
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strict = {
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"event_judgement": {
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"event_family": "relationship",
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"score": 74,
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"verdict": "moderate_probability_window",
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"dominant_label": "legal_marriage",
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"secondary_context": ["external_activation_support"],
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},
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"present_evidence": {
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"external_activation": {
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"level": "moderate",
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"source": "vedastro_service_adapter_candidate",
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"signals": ["vedastro_range_scan"],
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"events": [
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{
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"event_id": "GocharJupiterIn7th",
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"signal_key": "gochar_jupiter_7th_marriage",
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"signal_label": "Jupiter in 7th marriage window",
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"signal_family": "marriage_trigger",
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"score": 72,
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"start": "2026-06-29",
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"end": "2026-06-29",
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"tags": ["marriage", "transit"],
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}
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],
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"provenance": {
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"ingestion_profile": "main_entry_overview",
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"search_scope": "single_day_overview",
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"reference_date": "2026-06-29",
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},
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}
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},
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"confidence_cap": "medium",
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"missing_evidence": [],
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"blocked": False,
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}
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graph = _build_life_event_graph("relationship", strict)
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assert {
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"kind": "external_overview",
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"label": "VedAstro main-entry overview",
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"ingestion_profile": "main_entry_overview",
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"search_scope": "single_day_overview",
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"reference_date": "2026-06-29",
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"source": "vedastro_service_adapter_candidate",
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} in graph["event_nodes"]
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def test_life_event_graph_surfaces_ranked_official_day_window_nodes() -> None:
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strict = {
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"event_judgement": {"event_family": "career", "verdict": "moderate_probability_window", "score": 74},
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"present_evidence": {
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"external_activation": {
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"level": "moderate",
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"source": "vedastro_service_adapter_candidate",
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"daily_windows": [
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{
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"date": "2026-07-18",
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"domain": "career",
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"score": 5,
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"confidence": "medium_high",
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"event_count": 2,
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"signal_families": ["career_trigger"],
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"event_ids": ["GocharJupiterAspect10th", "CareerExpansionWindow"],
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"top_signal_label": "Career expansion window",
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}
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],
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}
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},
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"confidence_cap": "medium",
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"missing_evidence": [],
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"blocked": False,
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}
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graph = _build_life_event_graph("career", strict)
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assert any(node["kind"] == "official_day_window" and node["date"] == "2026-07-18" for node in graph["event_nodes"])
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