732642856
407 lines
14 KiB
Python
407 lines
14 KiB
Python
from __future__ import annotations
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import sys
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from pathlib import Path
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import pytest
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SCRIPTS = Path(__file__).resolve().parents[1] / "scripts"
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if str(SCRIPTS) not in sys.path:
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sys.path.insert(0, str(SCRIPTS))
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from jyotish_api_server import BadRequest, JyotishAPIHandler # noqa: E402
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def _handler() -> JyotishAPIHandler:
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return JyotishAPIHandler.__new__(JyotishAPIHandler)
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def test_active_rectification_questions_api_builds_choice_workflow() -> None:
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result = _handler()._compute_active_rectification_questions(
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{
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"birth_time": "1993-04-17 14:49",
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"uncertainty_minutes": 30,
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"step_minutes": 1,
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}
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)
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assert result["success"] is True
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assert result["endpoint"] == "active_rectification_questions"
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assert result["scope"] == "active_birth_time_rectification_questionnaire"
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assert result["candidate_scan"]["start"] == "1993-04-17 14:19"
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assert result["candidate_scan"]["end"] == "1993-04-17 15:19"
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assert result["candidate_scan"]["candidate_count"] == 61
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assert result["questions"]
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assert {option["key"] for option in result["questions"][0]["options"]} == {"A", "B", "C", "D"}
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assert "dynamic_candidate_cluster_scoring" in result["workflow"]
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def test_active_rectification_questions_api_accepts_location_for_true_recast() -> None:
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result = _handler()._compute_active_rectification_questions(
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{
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"birth_time": "1993-04-17 14:49",
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"uncertainty_minutes": 30,
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"lat": 36.683333,
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"lon": 114.35,
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"tz": 8,
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}
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)
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summary = result["candidate_scan"]["sensitivity_summary"]
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assert "true_varga_recast" in summary["computed_layers"]
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assert "true_arudha_recast" in summary["computed_layers"]
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assert "true_kp_cusp_recast" in summary["computed_layers"]
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assert "true_varga_recast" not in summary["blocked_layers"]
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assert "true_kp_cusp_recast" not in summary["blocked_layers"]
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def test_active_rectification_score_api_returns_rankings_and_next_questions() -> None:
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questionnaire = _handler()._compute_active_rectification_questions(
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{"birth_time": "1993-04-17 14:49", "uncertainty_minutes": 30}
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)
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scored = _handler()._compute_active_rectification_score(
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{
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"questionnaire": questionnaire,
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"answers": {
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"education_environment_shift": "A",
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"residence_relocation_shift": "B",
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"relationship_or_partner_entry": "D",
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"career_responsibility_pressure": "A",
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"research_tool_expression_shift": "C",
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},
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}
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)
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assert scored["success"] is True
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assert scored["endpoint"] == "active_rectification_score"
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assert scored["scope"] == "active_birth_time_rectification_scoring"
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assert scored["answered_count"] == 5
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assert scored["candidate_cluster_rankings"]
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assert scored["next_round_questions"]
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assert scored["candidate_cluster_rankings"][0]["score"] >= scored["candidate_cluster_rankings"][-1]["score"]
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def test_active_rectification_questions_api_validates_request() -> None:
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with pytest.raises(BadRequest, match="birth_time must be a string"):
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_handler()._compute_active_rectification_questions({})
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with pytest.raises(BadRequest, match="uncertainty_minutes must be between 1 and 180"):
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_handler()._compute_active_rectification_questions(
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{"birth_time": "1993-04-17 14:49", "uncertainty_minutes": 0}
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)
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with pytest.raises(BadRequest, match="step_minutes must be between 1 and 30"):
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_handler()._compute_active_rectification_questions(
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{"birth_time": "1993-04-17 14:49", "step_minutes": 31}
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)
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def test_active_rectification_score_api_validates_payload() -> None:
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with pytest.raises(BadRequest, match="questionnaire must be an object"):
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_handler()._compute_active_rectification_score({"answers": {}})
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with pytest.raises(BadRequest, match="answers must be an object"):
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_handler()._compute_active_rectification_score({"questionnaire": {}})
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def _answered_rectification_score() -> dict:
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questionnaire = _handler()._compute_active_rectification_questions(
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{
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"birth_time": "1993-04-17 14:49",
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"uncertainty_minutes": 30,
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"step_minutes": 1,
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"lat": 36.683333,
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"lon": 114.35,
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"tz": 8,
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}
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)
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return _handler()._compute_active_rectification_score(
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{
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"questionnaire": questionnaire,
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"answers": {
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"education_environment_shift": "A",
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"residence_relocation_shift": "B",
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"relationship_or_partner_entry": "D",
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"career_responsibility_pressure": "A",
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"research_tool_expression_shift": "C",
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},
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}
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)
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def test_rectification_score_exposes_narayana_cross_score_red() -> None:
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scored = _answered_rectification_score()
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assert scored["candidate_cluster_rankings"]
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assert all(
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"narayana_cross_score" in candidate
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for candidate in scored["candidate_cluster_rankings"]
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)
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def test_rectification_technique_audit_mentions_narayana_red() -> None:
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scored = _answered_rectification_score()
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audit_rows = scored["technique_audit_table"]
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assert any(
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row.get("technique") == "Narayana Dasha Rectification"
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and row.get("status") in {"used", "partial"}
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for row in audit_rows
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)
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def test_narayana_conflict_downgrades_without_replacing_vimshottari_red() -> None:
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scored = _handler()._compute_active_rectification_score(
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{
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"questionnaire": {
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"questions": [
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{
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"id": "career_responsibility_pressure",
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"round": 1,
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"scoring_map": {
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"A": {
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"cluster": "middle_candidate_cluster",
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"points": 9,
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}
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},
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}
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]
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},
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"answers": {"career_responsibility_pressure": "A"},
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"narayana_cross_scores": {
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"early_candidate_cluster": 10,
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"middle_candidate_cluster": -10,
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},
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}
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)
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top = scored["candidate_cluster_rankings"][0]
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assert top["cluster"] == "middle_candidate_cluster"
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assert top["claim_status"] == "candidate"
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assert top["confidence_cap"] == "low"
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assert top["conflict_policy"] == "downgrade_without_replacement"
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def test_rectification_claim_remains_candidate_not_birth_time_truth_red() -> None:
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scored = _answered_rectification_score()
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assert scored["claim_status"] == "candidate"
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assert scored["truth_status"] != "birth_time_truth"
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def test_rectification_score_exposes_jaimini_karaka_cross_score_red() -> None:
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scored = _answered_rectification_score()
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assert scored["candidate_cluster_rankings"]
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assert all(
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"jaimini_karaka_cross_score" in candidate
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for candidate in scored["candidate_cluster_rankings"]
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)
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def test_rectification_technique_audit_mentions_jaimini_karaka_red() -> None:
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scored = _answered_rectification_score()
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audit_rows = scored["technique_audit_table"]
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assert any(
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row.get("technique") == "Jaimini Karaka Rectification"
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and row.get("status") == "partial"
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for row in audit_rows
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)
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def test_jaimini_karaka_conflict_downgrades_without_replacing_primary_rank_red() -> None:
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scored = _handler()._compute_active_rectification_score(
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{
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"questionnaire": {
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"questions": [
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{
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"id": "career_responsibility_pressure",
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"round": 1,
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"scoring_map": {
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"A": {
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"cluster": "middle_candidate_cluster",
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"points": 9,
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}
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},
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}
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]
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},
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"answers": {"career_responsibility_pressure": "A"},
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"jaimini_karaka_cross_scores": {
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"early_candidate_cluster": 10,
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"middle_candidate_cluster": -10,
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},
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}
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)
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top = scored["candidate_cluster_rankings"][0]
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assert top["cluster"] == "middle_candidate_cluster"
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assert top["claim_status"] == "candidate"
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assert top["confidence_cap"] == "low"
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assert "jaimini_karaka" in top["downgrade_reasons"]
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def test_rectification_score_exposes_vimsopaka_avastha_cross_score_red() -> None:
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scored = _answered_rectification_score()
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assert scored["candidate_cluster_rankings"]
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assert all(
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"vimsopaka_avastha_cross_score" in candidate
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for candidate in scored["candidate_cluster_rankings"]
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)
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def test_rectification_technique_audit_mentions_vimsopaka_avastha_red() -> None:
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scored = _answered_rectification_score()
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audit_rows = scored["technique_audit_table"]
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assert any(
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row.get("technique") == "Vimsopaka Avastha Rectification"
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and row.get("status") == "partial"
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for row in audit_rows
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)
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def test_vimsopaka_avastha_conflict_downgrades_without_replacing_primary_rank_red() -> None:
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scored = _handler()._compute_active_rectification_score(
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{
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"questionnaire": {
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"questions": [
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{
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"id": "career_responsibility_pressure",
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"round": 1,
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"scoring_map": {
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"A": {
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"cluster": "middle_candidate_cluster",
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"points": 9,
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}
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},
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}
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]
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},
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"answers": {"career_responsibility_pressure": "A"},
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"vimsopaka_avastha_cross_scores": {
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"early_candidate_cluster": 10,
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"middle_candidate_cluster": -10,
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},
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}
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)
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top = scored["candidate_cluster_rankings"][0]
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assert top["cluster"] == "middle_candidate_cluster"
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assert top["claim_status"] == "candidate"
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assert top["confidence_cap"] == "low"
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assert "vimsopaka_avastha" in top["downgrade_reasons"]
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def test_rectification_score_exposes_shadbala_av_observation_score_red() -> None:
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scored = _answered_rectification_score()
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assert scored["candidate_cluster_rankings"]
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assert all(
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"shadbala_av_observation_score" in candidate
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for candidate in scored["candidate_cluster_rankings"]
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)
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assert scored["formula_unit_parity_status"] == "partial"
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def test_rectification_technique_audit_mentions_shadbala_av_low_weight_red() -> None:
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scored = _answered_rectification_score()
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audit_rows = scored["technique_audit_table"]
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assert any(
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row.get("technique") == "Shadbala Ashtakavarga Rectification"
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and row.get("status") == "partial_observation"
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and row.get("weight_policy") == "low_weight_only"
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for row in audit_rows
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)
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def test_shadbala_av_conflict_downgrades_without_replacing_primary_rank_red() -> None:
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scored = _handler()._compute_active_rectification_score(
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{
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"questionnaire": {
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"questions": [
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{
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"id": "career_responsibility_pressure",
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"round": 1,
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"scoring_map": {
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"A": {
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"cluster": "middle_candidate_cluster",
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"points": 9,
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}
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},
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}
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]
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},
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"answers": {"career_responsibility_pressure": "A"},
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"shadbala_av_observation_scores": {
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"early_candidate_cluster": 10,
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"middle_candidate_cluster": -10,
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},
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}
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)
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top = scored["candidate_cluster_rankings"][0]
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assert top["cluster"] == "middle_candidate_cluster"
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assert top["claim_status"] == "candidate"
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assert top["confidence_cap"] == "low"
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assert "shadbala_av" in top["downgrade_reasons"]
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def test_rectification_score_exposes_gochara_observation_score_red() -> None:
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scored = _answered_rectification_score()
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assert scored["candidate_cluster_rankings"]
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assert all(
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"gochara_transit_observation_score" in candidate
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for candidate in scored["candidate_cluster_rankings"]
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)
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assert scored["timing_claim_status"] == "exploratory_unvalidated"
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def test_rectification_technique_audit_mentions_gochara_holdout_gate_red() -> None:
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scored = _answered_rectification_score()
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audit_rows = scored["technique_audit_table"]
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assert any(
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row.get("technique") == "Gochara Transit Rectification"
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and row.get("status") == "blocked_from_verified_timing"
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and row.get("holdout_gate") == "negative_holdout_required"
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for row in audit_rows
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)
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def test_gochara_conflict_downgrades_without_verified_timing_claim_red() -> None:
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scored = _handler()._compute_active_rectification_score(
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{
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"questionnaire": {
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"questions": [
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{
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"id": "career_responsibility_pressure",
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"round": 1,
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"scoring_map": {
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"A": {
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"cluster": "middle_candidate_cluster",
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"points": 9,
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}
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},
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}
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]
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},
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"answers": {"career_responsibility_pressure": "A"},
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"gochara_transit_observation_scores": {
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"early_candidate_cluster": 10,
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"middle_candidate_cluster": -10,
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},
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}
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)
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top = scored["candidate_cluster_rankings"][0]
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assert top["cluster"] == "middle_candidate_cluster"
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assert top["claim_status"] == "candidate"
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assert top["confidence_cap"] == "low"
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assert "gochara_transit" in top["downgrade_reasons"]
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assert scored["timing_claim_status"] == "exploratory_unvalidated"
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