Files
Jyotisha/tests/test_reference_transparency_contract.py
T
2026-07-18 02:44:18 +08:00

96 lines
4.2 KiB
Python

from scripts.reference_transparency_contract import (
build_reference_transparency_contract,
select_similar_public_cases,
)
from pathlib import Path
ROOT = Path(__file__).resolve().parents[1]
def _chart(ascendant: str, moon: str, domain_lord_sign: str) -> dict:
return {
"ascendant": {"sign": ascendant},
"planets": {
"Moon": {"sign": moon},
"Saturn": {"sign": domain_lord_sign},
},
"houses": {"house_10": {"lord": "Saturn"}},
}
def test_select_similar_cases_shares_only_high_similarity_same_domain() -> None:
user_chart = _chart("Leo", "Pisces", "Libra")
cases = [
{
"case_id": "matching_career_case",
"subject": {"name": "Public Example"},
"chart": _chart("Leo", "Pisces", "Libra"),
"source": {"url": "https://example.com/birth", "source_grade": "primary"},
"event_outcomes": [{
"domain": "career", "event_type": "career_breakthrough", "event_date": "2007-01-09",
"outcome": "Public career event", "source": {"url": "https://example.com/event", "source_grade": "primary"},
}],
"replay": {"outcome_replay_status": "replayed", "do_not_use_for_prediction": False},
},
{
"case_id": "wrong_domain_case",
"subject": {"name": "Different Example"},
"chart": _chart("Aries", "Aries", "Aries"),
"source": {"url": "https://example.com/birth-2", "source_grade": "primary"},
"event_outcomes": [{
"domain": "marriage", "event_type": "legal_marriage", "event_date": "2011-04-29",
"outcome": "Public marriage event", "source": {"url": "https://example.com/event-2", "source_grade": "primary"},
}],
"replay": {"outcome_replay_status": "replayed", "do_not_use_for_prediction": False},
},
]
selected = select_similar_public_cases(user_chart, ["career"], cases=cases)
assert selected["status"] == "high_similarity_public_references_available"
assert [case["case_id"] for case in selected["cases"]] == ["matching_career_case"]
assert selected["cases"][0]["similarity"]["score"] == 1.0
assert selected["cases"][0]["event_source"]["url"] == "https://example.com/event"
assert selected["does_not_predict_user_outcome"] is True
assert selected["coverage"] == {
"available_event_domains": ["career", "marriage"],
"requested_uncovered_domains": [],
}
def test_reference_contract_preserves_dates_and_discloses_parallel_methods() -> None:
contract = build_reference_transparency_contract(
_chart("Leo", "Pisces", "Libra"),
["career"],
timing={"candidate_windows": [{"start": "2026-08-12", "end": "2026-08-16"}]},
cases=[],
)
assert contract["timing_display"]["exact_triggers"] == "display_as_technical_trigger_not_guarantee"
assert contract["external_engine_observations"]["VedAstro hosted"]["deployment_identity"] == "not_publicly_proven"
assert contract["method_variants"]["display"] == "show_parallel_methods_with_sources"
assert contract["similar_public_cases"]["status"] == "no_high_similarity_public_reference"
assert contract["similar_public_cases"]["coverage"]["requested_uncovered_domains"] == ["career"]
def test_default_public_manifest_can_surface_a_matching_replayed_case() -> None:
from scripts.domain_calculation_service import compute_chart
jobs_chart = compute_chart({
"year": 1955, "month": 2, "day": 24, "hour": 19, "minute": 15,
"lat": 37.7833, "lon": -122.4167, "tz": -8.0,
"ayanamsa": "lahiri", "node_mode": "mean",
})
selected = select_similar_public_cases(jobs_chart, ["career"])
assert selected["status"] == "high_similarity_public_references_available"
assert selected["cases"][0]["case_id"] == "jobs_iphone_2007"
assert selected["cases"][0]["reference_only"] is True
def test_consultation_api_exposes_reference_transparency_contract() -> None:
source = (ROOT / "scripts" / "jyotish_api_server.py").read_text(encoding="utf-8")
assert "result['reference_transparency'] = build_reference_transparency_contract(" in source