Jesse_Chen
84 lines
2.9 KiB
Python
84 lines
2.9 KiB
Python
from datetime import datetime
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from scripts.minute_rectification_feature_facts_v4 import (
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FEATURE_CONTRACT_VERSION,
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analyze_feature_fact_rows,
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build_fact_difference_opportunities,
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build_feature_fact_rows,
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feature_fact_fingerprint,
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)
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def _fact_row(time: str, ad_lord: str) -> dict:
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return {
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"time": time,
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"feature_contract_version": FEATURE_CONTRACT_VERSION,
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"event_facts": [{
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"event_id": "career-event",
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"domain": "career",
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"vimshottari": {"md": "Sun", "ad": ad_lord, "pd": "Mercury"},
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}],
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"missing_layers": [],
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}
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def test_fact_fingerprint_ignores_time_but_preserves_dasha_actor_identity() -> None:
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assert feature_fact_fingerprint(_fact_row("10:00", "Moon")) == feature_fact_fingerprint(
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_fact_row("10:01", "Moon")
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)
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assert feature_fact_fingerprint(_fact_row("10:00", "Moon")) != feature_fact_fingerprint(
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_fact_row("10:00", "Mars")
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)
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def test_fact_audit_exposes_change_hidden_by_generic_rule_name() -> None:
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report = analyze_feature_fact_rows([
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_fact_row("10:00", "Moon"),
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_fact_row("10:01", "Mars"),
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])
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assert report["unique_feature_fingerprint_count"] == 2
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assert report["indistinguishable_adjacent_pair_count"] == 0
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assert report["adjacent_transitions"][0]["changed_event_ids"] == ["career-event"]
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assert report["shadow_only"] is True
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assert report["may_affect_candidate_score"] is False
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opportunities = build_fact_difference_opportunities([
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_fact_row("10:00", "Moon"),
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_fact_row("10:01", "Mars"),
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])
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assert len(opportunities) == 1
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assert opportunities[0]["event_id"] == "career-event"
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assert [item["candidate_times"] for item in opportunities[0]["partitions"]] == [
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["10:00"], ["10:01"],
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]
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assert opportunities[0]["may_score_candidates"] is False
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assert opportunities[0]["question_ready"] is True
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assert opportunities[0]["requires_partition_coalescing"] is False
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def test_real_fact_rows_include_dual_dasha_varga_arudha_av_and_shadbala() -> None:
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rows = build_feature_fact_rows({
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"birth_date": "1993-04-17",
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"start_time": "14:29",
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"end_time": "14:30",
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"lat": 36.683333,
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"lon": 114.35,
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"tz": 8.0,
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"events": [{
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"id": "career-event",
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"domain": "career",
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"date": "2019-07-01",
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"precision": "day",
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}],
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}, candidates=[datetime(1993, 4, 17, 14, 29), datetime(1993, 4, 17, 14, 30)])
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fact = rows[0]["event_facts"][0]
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assert set(fact["vimshottari"]) == {"md", "ad", "pd"}
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assert set(fact["narayana"]) == {"md_sign", "ad_sign"}
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assert fact["vargas"][0]["chart"] == "D10"
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assert "A10" in fact["arudha_signs"]
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assert "10" in fact["ashtakavarga_target_house_scores"]
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assert isinstance(fact["verified_shadbala_state"], list)
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assert all(row["feature_contract_version"] == FEATURE_CONTRACT_VERSION for row in rows)
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