feat: sync real case website e2e contract
This commit is contained in:
732642856
@@ -665,14 +665,46 @@
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"claim_status": "source_intake_only",
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"consumer_policy": "research_observation_only",
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"claim_boundary": "Triage of public KP, Muhurta, and Shadbala source candidates; no source is oracle-ready until raw capture, exact settings, expected values, hash, and replay comparison are archived."
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},
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{
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"packet_id": "real_case_website_e2e_eval_2026_07_20",
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"path": "references/real_case_calibration/real_case_website_e2e_eval_2026_07_20.json",
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"domain": "real_case_website_e2e",
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"claim_status": "ready_contract",
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"consumer_policy": "research_to_commercial_contract_only",
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"claim_boundary": "20 public real-case website E2E quality contract; product QA only, not an accuracy benchmark or independent holdout."
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},
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{
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"packet_id": "prashna_input_contract_2026_07_20",
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"path": "references/oracle/prashna_input_contract_2026_07_20.json",
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"domain": "horary_annual_sensitive_points",
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"claim_status": "ready_contract",
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"consumer_policy": "research_to_commercial_contract_only",
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"claim_boundary": "Prashna input contract only; requires explicit time/place/timezone/ayanamsa/node, not predictive truth."
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},
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{
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"packet_id": "prashna_numeric_oracle_packet_queue_2026_07_20",
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"path": "references/oracle/prashna_numeric_oracle_packet_queue_2026_07_20.json",
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"domain": "horary_annual_sensitive_points",
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"claim_status": "open_queue",
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"consumer_policy": "research_to_commercial_contract_only",
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"claim_boundary": "Public numeric Prashna/Sphuta candidates remain open queue until complete input/settings/raw hash/replay close."
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},
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{
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"packet_id": "muhurta_numeric_candidate_capture_packet_2026_07_20",
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"path": "references/oracle/muhurta_numeric_candidate_capture_packet_2026_07_20.json",
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"domain": "muhurta_factor_scoring",
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"claim_status": "source_intake_only",
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"consumer_policy": "research_to_commercial_contract_only",
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"claim_boundary": "Stages two Muhurta numeric candidates for raw page capture; does not calculate, replay, or validate Muhurta verdicts."
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}
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],
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"production_tuning_allowed": false,
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"scope": "evidence_packet_index",
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"status": "active_index_v1",
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"summary": {
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"packet_count": 83,
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"blocked_or_partial_count": 55,
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"packet_count": 87,
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"blocked_or_partial_count": 56,
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"human_review_required_count": 2
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}
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}
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@@ -0,0 +1,75 @@
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{
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"boundary": "Capture packet staging only; does not calculate or validate Muhurta verdicts.",
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"capture_rows": [
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{
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"canonical_request_hash": "5bcdcf51cdd8a7bb42a3fab019eaffacf3a562904f69c25b65c1ba559b41f602",
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"claim_boundary": "Numeric-looking public source; not oracle-ready until raw page, exact settings, hash, and local replay comparison are archived.",
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"domain": "muhurta_factor_scoring",
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"missing_for_oracle": [
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"raw_capture_hash",
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"exact_date_selection",
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"timezone",
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"sunrise",
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"formula_weight_contract",
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"exact_method_settings",
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"replay_comparison"
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],
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"next_artifact_path": "references/oracle/artifacts/mypanchang_edison_2025_panchangam_raw_capture_packet.json",
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"observed_numeric_fields": [
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"tarabalam periods",
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"chandrabalam periods",
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"nakshatra",
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"rasi",
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"tithi",
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"yoga",
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"karana"
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],
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"raw_capture_status": "pending_raw_page_capture",
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"source_id": "mypanchang_edison_2025_panchangam",
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"source_observation_hash": "d57a30a4da43bb5ee92f16b6d8e2f6df099854a1cab1a2f95f72efea16dd9671",
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"topic": "Tarabala/Chandrabala/Panchangam daily factors",
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"upgrade_status": "not_oracle_ready",
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"url": "https://www.mypanchang.com/phppanchang.php?cityhead=&cityname=Edison-NJ&mn=04&monthtype=1&yr=2025"
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},
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{
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"canonical_request_hash": "b6110c7ab7a6346f42671a1c46fb6d81286483ea2e9a3808dd02367742ed06df",
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"claim_boundary": "Numeric-looking public source; not oracle-ready until raw page, exact settings, hash, and local replay comparison are archived.",
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"domain": "muhurta_factor_scoring",
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"missing_for_oracle": [
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"raw_capture_hash",
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"sunrise",
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"sunset",
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"timezone",
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"calculation_rule_replay",
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"exact_method_settings",
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"replay_comparison"
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],
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"next_artifact_path": "references/oracle/artifacts/drikpanchang_mumbai_rahu_2026_07_20_raw_capture_packet.json",
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"observed_numeric_fields": [
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"rahu kalam interval",
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"weekday",
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"city/date scoped daily table"
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],
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"raw_capture_status": "pending_raw_page_capture",
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"source_id": "drikpanchang_mumbai_rahu_2026_07_20",
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"source_observation_hash": "a7a4c1f5ba3fe872af645cddab962eba9fe4e0f697eee5d3bfca73951a571a8a",
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"topic": "Rahu Kalam daily interval",
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"upgrade_status": "not_oracle_ready",
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"url": "https://www.drikpanchang.com/muhurat/rahu-kalam.html?date=20/07/2026&geoname-id=1275339"
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}
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],
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"claim_status": "source_intake_only",
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"created_at": "2026-07-20",
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"production_tuning_allowed": false,
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"scope": "muhurta_numeric_candidate_capture_packet",
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"sources": {
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"source_triage": "references/oracle/public_worked_example_source_triage_2026_07_20.json"
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},
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"status": "capture_packet_ready",
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"summary": {
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"candidate_count": 2,
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"oracle_ready_count": 0,
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"pending_raw_capture_count": 2
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},
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"truth_matrix_allowed": false
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}
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@@ -0,0 +1,42 @@
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{
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"claim_boundary": "Input contract only; does not validate Prashna predictions or external numeric parity.",
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"claim_status": "ready_contract",
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"created_at": "2026-07-20",
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"optional_fields": [
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"question_text",
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"querent_id",
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"house_focus",
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"language"
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],
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"production_tuning_allowed": false,
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"required_fields": [
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{
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"boundary": "exact time question is received/accepted",
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"field": "question_datetime_local",
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"format": "YYYY-MM-DDTHH:MM:SS"
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},
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{
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"boundary": "place of querent/astrologer must be explicit",
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"field": "location",
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"format": "lat/lon + place label"
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},
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{
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"boundary": "no implicit local machine timezone",
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"field": "timezone",
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"format": "IANA or UTC offset"
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},
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{
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"boundary": "default must be recorded, e.g. Lahiri",
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"field": "ayanamsa",
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"format": "named sidereal ayanamsa"
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},
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{
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"boundary": "Rahu/Ketu mode must be frozen",
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"field": "node_mode",
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"format": "mean|true"
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}
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],
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"scope": "prashna_input_contract",
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"status": "contract_ready",
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"truth_matrix_allowed": false
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}
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@@ -0,0 +1,46 @@
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{
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"boundary": "Queue only; no Prashna/Saham/Gulika/Sphuta claim is upgraded until complete input, raw/hash and local/external replay close.",
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"claim_status": "open_queue",
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"created_at": "2026-07-20",
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"production_tuning_allowed": false,
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"rows": [
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{
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"candidate_hash": "2f8fafd98fba0f328b9eba58af1b4446ebf3a856d0769c79d6dc27e99218c63d",
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"claim_boundary": "Numeric Sphuta example exists, but full Prashna input/settings are incomplete; use as candidate only.",
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"domain": "horary_annual_sensitive_points",
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"expected_values": {
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"chatusphuta": "2s 15° 18' 34\"",
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"gulika": "3s 14° 10'",
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"lagna": "3s 27° 22'",
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"moon": "3s 19° 36' 34\"",
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"panchasphuta": "5s 23° 34' 34\"",
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"rahu": "3s 8° 16'",
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"sun": "4s 3° 8' 25\"",
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"trisphuta": "11s 1° 8' 34\""
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},
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"missing_for_oracle": [
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"complete_prashna_input",
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"ayanamsa",
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"node_mode",
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"timezone",
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"raw_capture_hash",
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"local_replay",
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"pyjhora_or_other_legal_replay"
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],
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"numeric_fields_present": true,
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"source_id": "vedastro_prasna_marga_ch5_sphuta_example",
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"source_role": "public_numeric_candidate",
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"technique_family": "sphuta_trisphuta_family",
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"upgrade_status": "candidate_not_oracle",
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"url": "https://vedastro.org/book/PrasnaMarga/Chapter5"
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}
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],
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"scope": "prashna_numeric_oracle_packet_queue",
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"status": "queue_ready",
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"summary": {
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"candidate_count": 1,
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"numeric_candidate_count": 1,
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"oracle_ready_count": 0
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},
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"truth_matrix_allowed": false
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}
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@@ -0,0 +1,657 @@
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{
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"acceptance_rules": [
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"Website must save/render input contract and runtime context JSON for each prompt.",
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"Answers may use public cases as explanation references, not prediction proof.",
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"Precise day/month claims must stay exploratory_unvalidated unless holdout closes.",
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"Marriage/career/wealth/health/migration/family/education/timing/annual domains must route to matching technique context.",
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"Any Shadbala/AV/KP conflict must be described as method/source difference, not majority-vote truth."
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],
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"boundary": "Product E2E quality harness only; not an accuracy benchmark or independent holdout.",
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"case_count": 20,
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"cases": [
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{
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"birth": {
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"date": "1955-02-24",
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"place": "San Francisco, CA, USA",
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"source_policy": "public_record_candidate",
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"time": "19:15"
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},
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"case_id": "steve_jobs",
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"domains": [
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"career",
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"wealth",
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"timing"
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],
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"expected_runtime_context": [
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"birth_input_contract",
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"ayanamsa_node_mode",
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"D1",
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"D9_or_relevant_varga",
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"Dasha",
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"Narayana_Dasha_for_timing",
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"functional_benefic_malefic",
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"claim_boundary",
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"similar_case_reference_allowed"
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],
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"prompts": [
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"事业主轴是什么？",
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"哪类阶段更容易爆发？",
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"财富来源和风险是什么？",
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"历史关键阶段能否用 Dasha + Narayana 回看？"
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],
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"subject": "Steve Jobs"
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},
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{
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"birth": {
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"date": "1879-03-14",
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"place": "Ulm, Germany",
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"source_policy": "public_record_candidate",
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"time": "11:30"
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},
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"case_id": "albert_einstein",
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"domains": [
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"education",
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"career",
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"timing"
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],
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"expected_runtime_context": [
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"birth_input_contract",
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"ayanamsa_node_mode",
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"D1",
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"D9_or_relevant_varga",
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"Dasha",
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"Narayana_Dasha_for_timing",
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"functional_benefic_malefic",
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"claim_boundary",
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"similar_case_reference_allowed"
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],
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"prompts": [
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"学习与教育路径怎么看？",
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"事业主轴是什么？",
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"哪类阶段更容易爆发？",
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"历史关键阶段能否用 Dasha + Narayana 回看？"
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],
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"subject": "Albert Einstein"
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},
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{
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"birth": {
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"date": "1961-08-04",
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"place": "Honolulu, HI, USA",
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"source_policy": "public_record_candidate",
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"time": "19:24"
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},
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"case_id": "barack_obama",
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"domains": [
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"career",
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"migration",
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"annual"
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],
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"expected_runtime_context": [
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"birth_input_contract",
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"ayanamsa_node_mode",
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"D1",
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"D9_or_relevant_varga",
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"Dasha",
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"Narayana_Dasha_for_timing",
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"functional_benefic_malefic",
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"claim_boundary",
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"similar_case_reference_allowed"
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],
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"prompts": [
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"事业主轴是什么？",
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"哪类阶段更容易爆发？",
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"迁移/海外发展应看哪些宫位和 Dasha？",
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"年度运势应如何避免过度承诺？"
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],
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"subject": "Barack Obama"
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},
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{
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"birth": {
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"date": "1961-07-01",
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"place": "Sandringham, England",
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"source_policy": "public_record_candidate",
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"time": "19:45"
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},
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"case_id": "princess_diana",
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"domains": [
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"marriage",
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"family",
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"timing"
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||||
],
|
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"expected_runtime_context": [
|
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"birth_input_contract",
|
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"ayanamsa_node_mode",
|
||||
"D1",
|
||||
"D9_or_relevant_varga",
|
||||
"Dasha",
|
||||
"Narayana_Dasha_for_timing",
|
||||
"functional_benefic_malefic",
|
||||
"claim_boundary",
|
||||
"similar_case_reference_allowed"
|
||||
],
|
||||
"prompts": [
|
||||
"婚恋关系中应看哪些印度占星指标？",
|
||||
"家庭/子女主题应调用哪些分盘和宫位？",
|
||||
"历史关键阶段能否用 Dasha + Narayana 回看？"
|
||||
],
|
||||
"subject": "Princess Diana"
|
||||
},
|
||||
{
|
||||
"birth": {
|
||||
"date": "1946-06-14",
|
||||
"place": "Queens, NY, USA",
|
||||
"source_policy": "public_record_candidate",
|
||||
"time": "10:54"
|
||||
},
|
||||
"case_id": "donald_trump",
|
||||
"domains": [
|
||||
"career",
|
||||
"wealth",
|
||||
"annual"
|
||||
],
|
||||
"expected_runtime_context": [
|
||||
"birth_input_contract",
|
||||
"ayanamsa_node_mode",
|
||||
"D1",
|
||||
"D9_or_relevant_varga",
|
||||
"Dasha",
|
||||
"Narayana_Dasha_for_timing",
|
||||
"functional_benefic_malefic",
|
||||
"claim_boundary",
|
||||
"similar_case_reference_allowed"
|
||||
],
|
||||
"prompts": [
|
||||
"事业主轴是什么？",
|
||||
"哪类阶段更容易爆发？",
|
||||
"财富来源和风险是什么？",
|
||||
"年度运势应如何避免过度承诺？"
|
||||
],
|
||||
"subject": "Donald Trump"
|
||||
},
|
||||
{
|
||||
"birth": {
|
||||
"date": "1954-01-29",
|
||||
"place": "Kosciusko, MS, USA",
|
||||
"source_policy": "public_record_candidate",
|
||||
"time": "04:30"
|
||||
},
|
||||
"case_id": "oprah_winfrey",
|
||||
"domains": [
|
||||
"career",
|
||||
"wealth",
|
||||
"family"
|
||||
],
|
||||
"expected_runtime_context": [
|
||||
"birth_input_contract",
|
||||
"ayanamsa_node_mode",
|
||||
"D1",
|
||||
"D9_or_relevant_varga",
|
||||
"Dasha",
|
||||
"Narayana_Dasha_for_timing",
|
||||
"functional_benefic_malefic",
|
||||
"claim_boundary",
|
||||
"similar_case_reference_allowed"
|
||||
],
|
||||
"prompts": [
|
||||
"事业主轴是什么？",
|
||||
"哪类阶段更容易爆发？",
|
||||
"财富来源和风险是什么？",
|
||||
"家庭/子女主题应调用哪些分盘和宫位？"
|
||||
],
|
||||
"subject": "Oprah Winfrey"
|
||||
},
|
||||
{
|
||||
"birth": {
|
||||
"date": "1971-06-28",
|
||||
"place": "Pretoria, South Africa",
|
||||
"source_policy": "public_record_candidate",
|
||||
"time": "07:30"
|
||||
},
|
||||
"case_id": "elon_musk",
|
||||
"domains": [
|
||||
"career",
|
||||
"migration",
|
||||
"wealth"
|
||||
],
|
||||
"expected_runtime_context": [
|
||||
"birth_input_contract",
|
||||
"ayanamsa_node_mode",
|
||||
"D1",
|
||||
"D9_or_relevant_varga",
|
||||
"Dasha",
|
||||
"Narayana_Dasha_for_timing",
|
||||
"functional_benefic_malefic",
|
||||
"claim_boundary",
|
||||
"similar_case_reference_allowed"
|
||||
],
|
||||
"prompts": [
|
||||
"事业主轴是什么？",
|
||||
"哪类阶段更容易爆发？",
|
||||
"迁移/海外发展应看哪些宫位和 Dasha？",
|
||||
"财富来源和风险是什么？"
|
||||
],
|
||||
"subject": "Elon Musk"
|
||||
},
|
||||
{
|
||||
"birth": {
|
||||
"date": "1869-10-02",
|
||||
"place": "Porbandar, India",
|
||||
"source_policy": "public_record_candidate",
|
||||
"time": "07:11"
|
||||
},
|
||||
"case_id": "mahatma_gandhi",
|
||||
"domains": [
|
||||
"career",
|
||||
"migration",
|
||||
"timing"
|
||||
],
|
||||
"expected_runtime_context": [
|
||||
"birth_input_contract",
|
||||
"ayanamsa_node_mode",
|
||||
"D1",
|
||||
"D9_or_relevant_varga",
|
||||
"Dasha",
|
||||
"Narayana_Dasha_for_timing",
|
||||
"functional_benefic_malefic",
|
||||
"claim_boundary",
|
||||
"similar_case_reference_allowed"
|
||||
],
|
||||
"prompts": [
|
||||
"事业主轴是什么？",
|
||||
"哪类阶段更容易爆发？",
|
||||
"迁移/海外发展应看哪些宫位和 Dasha？",
|
||||
"历史关键阶段能否用 Dasha + Narayana 回看？"
|
||||
],
|
||||
"subject": "Mahatma Gandhi"
|
||||
},
|
||||
{
|
||||
"birth": {
|
||||
"date": "1926-06-01",
|
||||
"place": "Los Angeles, CA, USA",
|
||||
"source_policy": "public_record_candidate",
|
||||
"time": "09:30"
|
||||
},
|
||||
"case_id": "marilyn_monroe",
|
||||
"domains": [
|
||||
"marriage",
|
||||
"career",
|
||||
"health"
|
||||
],
|
||||
"expected_runtime_context": [
|
||||
"birth_input_contract",
|
||||
"ayanamsa_node_mode",
|
||||
"D1",
|
||||
"D9_or_relevant_varga",
|
||||
"Dasha",
|
||||
"Narayana_Dasha_for_timing",
|
||||
"functional_benefic_malefic",
|
||||
"claim_boundary",
|
||||
"similar_case_reference_allowed"
|
||||
],
|
||||
"prompts": [
|
||||
"婚恋关系中应看哪些印度占星指标？",
|
||||
"事业主轴是什么？",
|
||||
"哪类阶段更容易爆发？",
|
||||
"健康主题只能如何非医疗表达？"
|
||||
],
|
||||
"subject": "Marilyn Monroe"
|
||||
},
|
||||
{
|
||||
"birth": {
|
||||
"date": "1955-10-28",
|
||||
"place": "Seattle, WA, USA",
|
||||
"source_policy": "public_record_candidate",
|
||||
"time": "22:00"
|
||||
},
|
||||
"case_id": "bill_gates",
|
||||
"domains": [
|
||||
"career",
|
||||
"wealth",
|
||||
"education"
|
||||
],
|
||||
"expected_runtime_context": [
|
||||
"birth_input_contract",
|
||||
"ayanamsa_node_mode",
|
||||
"D1",
|
||||
"D9_or_relevant_varga",
|
||||
"Dasha",
|
||||
"Narayana_Dasha_for_timing",
|
||||
"functional_benefic_malefic",
|
||||
"claim_boundary",
|
||||
"similar_case_reference_allowed"
|
||||
],
|
||||
"prompts": [
|
||||
"事业主轴是什么？",
|
||||
"哪类阶段更容易爆发？",
|
||||
"财富来源和风险是什么？",
|
||||
"学习与教育路径怎么看？"
|
||||
],
|
||||
"subject": "Bill Gates"
|
||||
},
|
||||
{
|
||||
"birth": {
|
||||
"date": "1965-07-31",
|
||||
"place": "Yate, England",
|
||||
"source_policy": "public_record_candidate",
|
||||
"time": "14:00"
|
||||
},
|
||||
"case_id": "j_k_rowling",
|
||||
"domains": [
|
||||
"career",
|
||||
"wealth",
|
||||
"timing"
|
||||
],
|
||||
"expected_runtime_context": [
|
||||
"birth_input_contract",
|
||||
"ayanamsa_node_mode",
|
||||
"D1",
|
||||
"D9_or_relevant_varga",
|
||||
"Dasha",
|
||||
"Narayana_Dasha_for_timing",
|
||||
"functional_benefic_malefic",
|
||||
"claim_boundary",
|
||||
"similar_case_reference_allowed"
|
||||
],
|
||||
"prompts": [
|
||||
"事业主轴是什么？",
|
||||
"哪类阶段更容易爆发？",
|
||||
"财富来源和风险是什么？",
|
||||
"历史关键阶段能否用 Dasha + Narayana 回看？"
|
||||
],
|
||||
"subject": "J. K. Rowling"
|
||||
},
|
||||
{
|
||||
"birth": {
|
||||
"date": "1918-07-18",
|
||||
"place": "Mvezo, South Africa",
|
||||
"source_policy": "public_record_candidate",
|
||||
"time": "14:54"
|
||||
},
|
||||
"case_id": "nelson_mandela",
|
||||
"domains": [
|
||||
"career",
|
||||
"timing",
|
||||
"migration"
|
||||
],
|
||||
"expected_runtime_context": [
|
||||
"birth_input_contract",
|
||||
"ayanamsa_node_mode",
|
||||
"D1",
|
||||
"D9_or_relevant_varga",
|
||||
"Dasha",
|
||||
"Narayana_Dasha_for_timing",
|
||||
"functional_benefic_malefic",
|
||||
"claim_boundary",
|
||||
"similar_case_reference_allowed"
|
||||
],
|
||||
"prompts": [
|
||||
"事业主轴是什么？",
|
||||
"哪类阶段更容易爆发？",
|
||||
"历史关键阶段能否用 Dasha + Narayana 回看？",
|
||||
"迁移/海外发展应看哪些宫位和 Dasha？"
|
||||
],
|
||||
"subject": "Nelson Mandela"
|
||||
},
|
||||
{
|
||||
"birth": {
|
||||
"date": "1910-08-26",
|
||||
"place": "Skopje, North Macedonia",
|
||||
"source_policy": "public_record_candidate",
|
||||
"time": "14:25"
|
||||
},
|
||||
"case_id": "mother_teresa",
|
||||
"domains": [
|
||||
"career",
|
||||
"migration",
|
||||
"health"
|
||||
],
|
||||
"expected_runtime_context": [
|
||||
"birth_input_contract",
|
||||
"ayanamsa_node_mode",
|
||||
"D1",
|
||||
"D9_or_relevant_varga",
|
||||
"Dasha",
|
||||
"Narayana_Dasha_for_timing",
|
||||
"functional_benefic_malefic",
|
||||
"claim_boundary",
|
||||
"similar_case_reference_allowed"
|
||||
],
|
||||
"prompts": [
|
||||
"事业主轴是什么？",
|
||||
"哪类阶段更容易爆发？",
|
||||
"迁移/海外发展应看哪些宫位和 Dasha？",
|
||||
"健康主题只能如何非医疗表达？"
|
||||
],
|
||||
"subject": "Mother Teresa"
|
||||
},
|
||||
{
|
||||
"birth": {
|
||||
"date": "1958-08-29",
|
||||
"place": "Gary, IN, USA",
|
||||
"source_policy": "public_record_candidate",
|
||||
"time": "19:33"
|
||||
},
|
||||
"case_id": "michael_jackson",
|
||||
"domains": [
|
||||
"career",
|
||||
"wealth",
|
||||
"health"
|
||||
],
|
||||
"expected_runtime_context": [
|
||||
"birth_input_contract",
|
||||
"ayanamsa_node_mode",
|
||||
"D1",
|
||||
"D9_or_relevant_varga",
|
||||
"Dasha",
|
||||
"Narayana_Dasha_for_timing",
|
||||
"functional_benefic_malefic",
|
||||
"claim_boundary",
|
||||
"similar_case_reference_allowed"
|
||||
],
|
||||
"prompts": [
|
||||
"事业主轴是什么？",
|
||||
"哪类阶段更容易爆发？",
|
||||
"财富来源和风险是什么？",
|
||||
"健康主题只能如何非医疗表达？"
|
||||
],
|
||||
"subject": "Michael Jackson"
|
||||
},
|
||||
{
|
||||
"birth": {
|
||||
"date": "1926-04-21",
|
||||
"place": "London, England",
|
||||
"source_policy": "public_record_candidate",
|
||||
"time": "02:40"
|
||||
},
|
||||
"case_id": "queen_elizabeth_ii",
|
||||
"domains": [
|
||||
"career",
|
||||
"family",
|
||||
"annual"
|
||||
],
|
||||
"expected_runtime_context": [
|
||||
"birth_input_contract",
|
||||
"ayanamsa_node_mode",
|
||||
"D1",
|
||||
"D9_or_relevant_varga",
|
||||
"Dasha",
|
||||
"Narayana_Dasha_for_timing",
|
||||
"functional_benefic_malefic",
|
||||
"claim_boundary",
|
||||
"similar_case_reference_allowed"
|
||||
],
|
||||
"prompts": [
|
||||
"事业主轴是什么？",
|
||||
"哪类阶段更容易爆发？",
|
||||
"家庭/子女主题应调用哪些分盘和宫位？",
|
||||
"年度运势应如何避免过度承诺？"
|
||||
],
|
||||
"subject": "Queen Elizabeth II"
|
||||
},
|
||||
{
|
||||
"birth": {
|
||||
"date": "1917-05-29",
|
||||
"place": "Brookline, MA, USA",
|
||||
"source_policy": "public_record_candidate",
|
||||
"time": "15:00"
|
||||
},
|
||||
"case_id": "john_f_kennedy",
|
||||
"domains": [
|
||||
"career",
|
||||
"family",
|
||||
"health"
|
||||
],
|
||||
"expected_runtime_context": [
|
||||
"birth_input_contract",
|
||||
"ayanamsa_node_mode",
|
||||
"D1",
|
||||
"D9_or_relevant_varga",
|
||||
"Dasha",
|
||||
"Narayana_Dasha_for_timing",
|
||||
"functional_benefic_malefic",
|
||||
"claim_boundary",
|
||||
"similar_case_reference_allowed"
|
||||
],
|
||||
"prompts": [
|
||||
"事业主轴是什么？",
|
||||
"哪类阶段更容易爆发？",
|
||||
"家庭/子女主题应调用哪些分盘和宫位？",
|
||||
"健康主题只能如何非医疗表达？"
|
||||
],
|
||||
"subject": "John F. Kennedy"
|
||||
},
|
||||
{
|
||||
"birth": {
|
||||
"date": "1929-01-15",
|
||||
"place": "Atlanta, GA, USA",
|
||||
"source_policy": "public_record_candidate",
|
||||
"time": "12:00"
|
||||
},
|
||||
"case_id": "martin_luther_king_jr",
|
||||
"domains": [
|
||||
"career",
|
||||
"timing",
|
||||
"health"
|
||||
],
|
||||
"expected_runtime_context": [
|
||||
"birth_input_contract",
|
||||
"ayanamsa_node_mode",
|
||||
"D1",
|
||||
"D9_or_relevant_varga",
|
||||
"Dasha",
|
||||
"Narayana_Dasha_for_timing",
|
||||
"functional_benefic_malefic",
|
||||
"claim_boundary",
|
||||
"similar_case_reference_allowed"
|
||||
],
|
||||
"prompts": [
|
||||
"事业主轴是什么？",
|
||||
"哪类阶段更容易爆发？",
|
||||
"历史关键阶段能否用 Dasha + Narayana 回看？",
|
||||
"健康主题只能如何非医疗表达？"
|
||||
],
|
||||
"subject": "Martin Luther King Jr."
|
||||
},
|
||||
{
|
||||
"birth": {
|
||||
"date": "1975-06-04",
|
||||
"place": "Los Angeles, CA, USA",
|
||||
"source_policy": "public_record_candidate",
|
||||
"time": "09:09"
|
||||
},
|
||||
"case_id": "angelina_jolie",
|
||||
"domains": [
|
||||
"marriage",
|
||||
"family",
|
||||
"career"
|
||||
],
|
||||
"expected_runtime_context": [
|
||||
"birth_input_contract",
|
||||
"ayanamsa_node_mode",
|
||||
"D1",
|
||||
"D9_or_relevant_varga",
|
||||
"Dasha",
|
||||
"Narayana_Dasha_for_timing",
|
||||
"functional_benefic_malefic",
|
||||
"claim_boundary",
|
||||
"similar_case_reference_allowed"
|
||||
],
|
||||
"prompts": [
|
||||
"婚恋关系中应看哪些印度占星指标？",
|
||||
"家庭/子女主题应调用哪些分盘和宫位？",
|
||||
"事业主轴是什么？",
|
||||
"哪类阶段更容易爆发？"
|
||||
],
|
||||
"subject": "Angelina Jolie"
|
||||
},
|
||||
{
|
||||
"birth": {
|
||||
"date": "1963-12-18",
|
||||
"place": "Shawnee, OK, USA",
|
||||
"source_policy": "public_record_candidate",
|
||||
"time": "06:31"
|
||||
},
|
||||
"case_id": "brad_pitt",
|
||||
"domains": [
|
||||
"marriage",
|
||||
"career",
|
||||
"wealth"
|
||||
],
|
||||
"expected_runtime_context": [
|
||||
"birth_input_contract",
|
||||
"ayanamsa_node_mode",
|
||||
"D1",
|
||||
"D9_or_relevant_varga",
|
||||
"Dasha",
|
||||
"Narayana_Dasha_for_timing",
|
||||
"functional_benefic_malefic",
|
||||
"claim_boundary",
|
||||
"similar_case_reference_allowed"
|
||||
],
|
||||
"prompts": [
|
||||
"婚恋关系中应看哪些印度占星指标？",
|
||||
"事业主轴是什么？",
|
||||
"哪类阶段更容易爆发？",
|
||||
"财富来源和风险是什么？"
|
||||
],
|
||||
"subject": "Brad Pitt"
|
||||
},
|
||||
{
|
||||
"birth": {
|
||||
"date": "1981-09-26",
|
||||
"place": "Saginaw, MI, USA",
|
||||
"source_policy": "public_record_candidate",
|
||||
"time": "20:28"
|
||||
},
|
||||
"case_id": "serena_williams",
|
||||
"domains": [
|
||||
"career",
|
||||
"health",
|
||||
"annual"
|
||||
],
|
||||
"expected_runtime_context": [
|
||||
"birth_input_contract",
|
||||
"ayanamsa_node_mode",
|
||||
"D1",
|
||||
"D9_or_relevant_varga",
|
||||
"Dasha",
|
||||
"Narayana_Dasha_for_timing",
|
||||
"functional_benefic_malefic",
|
||||
"claim_boundary",
|
||||
"similar_case_reference_allowed"
|
||||
],
|
||||
"prompts": [
|
||||
"事业主轴是什么？",
|
||||
"哪类阶段更容易爆发？",
|
||||
"健康主题只能如何非医疗表达？",
|
||||
"年度运势应如何避免过度承诺？"
|
||||
],
|
||||
"subject": "Serena Williams"
|
||||
}
|
||||
],
|
||||
"claim_status": "ready_contract",
|
||||
"created_at": "2026-07-20",
|
||||
"production_tuning_allowed": false,
|
||||
"scope": "real_case_website_e2e_eval",
|
||||
"truth_matrix_allowed": false
|
||||
}
|
||||
@@ -0,0 +1,85 @@
|
||||
#!/usr/bin/env python3
|
||||
"""Create CI-safe capture packets for Muhurta numeric source candidates."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import argparse
|
||||
import hashlib
|
||||
import json
|
||||
from pathlib import Path
|
||||
from typing import Any
|
||||
|
||||
|
||||
ROOT = Path(__file__).resolve().parents[1]
|
||||
TRIAGE = ROOT / "references/oracle/public_worked_example_source_triage_2026_07_20.json"
|
||||
OUT = ROOT / "references/oracle/muhurta_numeric_candidate_capture_packet_2026_07_20.json"
|
||||
|
||||
|
||||
def sha(obj: Any) -> str:
|
||||
return hashlib.sha256(json.dumps(obj, ensure_ascii=False, sort_keys=True).encode("utf-8")).hexdigest()
|
||||
|
||||
|
||||
def next_path(source_id: str) -> str:
|
||||
return f"references/oracle/artifacts/{source_id}_raw_capture_packet.json"
|
||||
|
||||
|
||||
def build(date: str) -> dict[str, Any]:
|
||||
triage = json.loads(TRIAGE.read_text(encoding="utf-8"))
|
||||
rows = []
|
||||
for src in triage["sources"]:
|
||||
if src["domain"] != "muhurta_factor_scoring" or not src["numeric_fields_present"]:
|
||||
continue
|
||||
request = {
|
||||
"source_id": src["source_id"],
|
||||
"url": src["url"],
|
||||
"topic": src["topic"],
|
||||
"observed_numeric_fields": src["observed_numeric_fields"],
|
||||
}
|
||||
missing = list(src["missing_for_oracle"])
|
||||
for field in ["raw_capture_hash", "exact_method_settings", "replay_comparison"]:
|
||||
if field not in missing:
|
||||
missing.append(field)
|
||||
rows.append(
|
||||
{
|
||||
"source_id": src["source_id"],
|
||||
"domain": src["domain"],
|
||||
"topic": src["topic"],
|
||||
"url": src["url"],
|
||||
"source_observation_hash": src["observation_hash"],
|
||||
"canonical_request_hash": sha(request),
|
||||
"observed_numeric_fields": src["observed_numeric_fields"],
|
||||
"raw_capture_status": "pending_raw_page_capture",
|
||||
"upgrade_status": "not_oracle_ready",
|
||||
"missing_for_oracle": missing,
|
||||
"next_artifact_path": next_path(src["source_id"]),
|
||||
"claim_boundary": "Numeric-looking public source; not oracle-ready until raw page, exact settings, hash, and local replay comparison are archived.",
|
||||
}
|
||||
)
|
||||
return {
|
||||
"scope": "muhurta_numeric_candidate_capture_packet",
|
||||
"created_at": date,
|
||||
"status": "capture_packet_ready",
|
||||
"claim_status": "source_intake_only",
|
||||
"production_tuning_allowed": False,
|
||||
"truth_matrix_allowed": False,
|
||||
"sources": {"source_triage": str(TRIAGE.relative_to(ROOT))},
|
||||
"summary": {
|
||||
"candidate_count": len(rows),
|
||||
"oracle_ready_count": 0,
|
||||
"pending_raw_capture_count": sum(1 for row in rows if row["raw_capture_status"] == "pending_raw_page_capture"),
|
||||
},
|
||||
"capture_rows": rows,
|
||||
"boundary": "Capture packet staging only; does not calculate or validate Muhurta verdicts.",
|
||||
}
|
||||
|
||||
|
||||
def main() -> int:
|
||||
parser = argparse.ArgumentParser(description=__doc__)
|
||||
parser.add_argument("--date", default="2026-07-20")
|
||||
args = parser.parse_args()
|
||||
print(json.dumps(build(args.date), ensure_ascii=False, indent=2, sort_keys=True))
|
||||
return 0
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
raise SystemExit(main())
|
||||
@@ -0,0 +1,77 @@
|
||||
#!/usr/bin/env python3
|
||||
"""Create Prashna input contract and numeric oracle candidate queue."""
|
||||
from __future__ import annotations
|
||||
import argparse, hashlib, json
|
||||
from pathlib import Path
|
||||
|
||||
ROOT = Path(__file__).resolve().parents[1]
|
||||
CONTRACT = ROOT / "references/oracle/prashna_input_contract_2026_07_20.json"
|
||||
QUEUE = ROOT / "references/oracle/prashna_numeric_oracle_packet_queue_2026_07_20.json"
|
||||
|
||||
def h(obj):
|
||||
return hashlib.sha256(json.dumps(obj, ensure_ascii=False, sort_keys=True).encode()).hexdigest()
|
||||
|
||||
def build(date: str):
|
||||
contract = {
|
||||
"scope": "prashna_input_contract",
|
||||
"created_at": date,
|
||||
"status": "contract_ready",
|
||||
"claim_status": "ready_contract",
|
||||
"production_tuning_allowed": False,
|
||||
"truth_matrix_allowed": False,
|
||||
"required_fields": [
|
||||
{"field": "question_datetime_local", "format": "YYYY-MM-DDTHH:MM:SS", "boundary": "exact time question is received/accepted"},
|
||||
{"field": "location", "format": "lat/lon + place label", "boundary": "place of querent/astrologer must be explicit"},
|
||||
{"field": "timezone", "format": "IANA or UTC offset", "boundary": "no implicit local machine timezone"},
|
||||
{"field": "ayanamsa", "format": "named sidereal ayanamsa", "boundary": "default must be recorded, e.g. Lahiri"},
|
||||
{"field": "node_mode", "format": "mean|true", "boundary": "Rahu/Ketu mode must be frozen"},
|
||||
],
|
||||
"optional_fields": ["question_text", "querent_id", "house_focus", "language"],
|
||||
"claim_boundary": "Input contract only; does not validate Prashna predictions or external numeric parity.",
|
||||
}
|
||||
rows = [
|
||||
{
|
||||
"source_id": "vedastro_prasna_marga_ch5_sphuta_example",
|
||||
"domain": "horary_annual_sensitive_points",
|
||||
"technique_family": "sphuta_trisphuta_family",
|
||||
"url": "https://vedastro.org/book/PrasnaMarga/Chapter5",
|
||||
"source_role": "public_numeric_candidate",
|
||||
"numeric_fields_present": True,
|
||||
"expected_values": {
|
||||
"sun": "4s 3° 8' 25\"",
|
||||
"moon": "3s 19° 36' 34\"",
|
||||
"lagna": "3s 27° 22'",
|
||||
"gulika": "3s 14° 10'",
|
||||
"rahu": "3s 8° 16'",
|
||||
"trisphuta": "11s 1° 8' 34\"",
|
||||
"chatusphuta": "2s 15° 18' 34\"",
|
||||
"panchasphuta": "5s 23° 34' 34\"",
|
||||
},
|
||||
"missing_for_oracle": ["complete_prashna_input", "ayanamsa", "node_mode", "timezone", "raw_capture_hash", "local_replay", "pyjhora_or_other_legal_replay"],
|
||||
"upgrade_status": "candidate_not_oracle",
|
||||
"candidate_hash": "",
|
||||
"claim_boundary": "Numeric Sphuta example exists, but full Prashna input/settings are incomplete; use as candidate only.",
|
||||
}
|
||||
]
|
||||
for row in rows:
|
||||
row["candidate_hash"] = h(row)
|
||||
queue = {
|
||||
"scope": "prashna_numeric_oracle_packet_queue",
|
||||
"created_at": date,
|
||||
"status": "queue_ready",
|
||||
"claim_status": "open_queue",
|
||||
"production_tuning_allowed": False,
|
||||
"truth_matrix_allowed": False,
|
||||
"summary": {"candidate_count": len(rows), "numeric_candidate_count": sum(r["numeric_fields_present"] for r in rows), "oracle_ready_count": 0},
|
||||
"rows": rows,
|
||||
"boundary": "Queue only; no Prashna/Saham/Gulika/Sphuta claim is upgraded until complete input, raw/hash and local/external replay close.",
|
||||
}
|
||||
return {"contract": contract, "queue": queue}
|
||||
|
||||
def main():
|
||||
ap=argparse.ArgumentParser(); ap.add_argument("--date", default="2026-07-20"); args=ap.parse_args()
|
||||
data=build(args.date)
|
||||
CONTRACT.write_text(json.dumps(data["contract"], ensure_ascii=False, indent=2, sort_keys=True)+"\n")
|
||||
QUEUE.write_text(json.dumps(data["queue"], ensure_ascii=False, indent=2, sort_keys=True)+"\n")
|
||||
print(json.dumps(data, ensure_ascii=False, indent=2, sort_keys=True))
|
||||
if __name__ == "__main__": main()
|
||||
@@ -0,0 +1,100 @@
|
||||
#!/usr/bin/env python3
|
||||
"""Build a public-real-case website E2E evaluation contract."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import argparse
|
||||
import json
|
||||
from pathlib import Path
|
||||
from typing import Any
|
||||
|
||||
|
||||
CASES = [
|
||||
("steve_jobs", "Steve Jobs", "1955-02-24", "19:15", "San Francisco, CA, USA", ["career", "wealth", "timing"]),
|
||||
("albert_einstein", "Albert Einstein", "1879-03-14", "11:30", "Ulm, Germany", ["education", "career", "timing"]),
|
||||
("barack_obama", "Barack Obama", "1961-08-04", "19:24", "Honolulu, HI, USA", ["career", "migration", "annual"]),
|
||||
("princess_diana", "Princess Diana", "1961-07-01", "19:45", "Sandringham, England", ["marriage", "family", "timing"]),
|
||||
("donald_trump", "Donald Trump", "1946-06-14", "10:54", "Queens, NY, USA", ["career", "wealth", "annual"]),
|
||||
("oprah_winfrey", "Oprah Winfrey", "1954-01-29", "04:30", "Kosciusko, MS, USA", ["career", "wealth", "family"]),
|
||||
("elon_musk", "Elon Musk", "1971-06-28", "07:30", "Pretoria, South Africa", ["career", "migration", "wealth"]),
|
||||
("mahatma_gandhi", "Mahatma Gandhi", "1869-10-02", "07:11", "Porbandar, India", ["career", "migration", "timing"]),
|
||||
("marilyn_monroe", "Marilyn Monroe", "1926-06-01", "09:30", "Los Angeles, CA, USA", ["marriage", "career", "health"]),
|
||||
("bill_gates", "Bill Gates", "1955-10-28", "22:00", "Seattle, WA, USA", ["career", "wealth", "education"]),
|
||||
("j_k_rowling", "J. K. Rowling", "1965-07-31", "14:00", "Yate, England", ["career", "wealth", "timing"]),
|
||||
("nelson_mandela", "Nelson Mandela", "1918-07-18", "14:54", "Mvezo, South Africa", ["career", "timing", "migration"]),
|
||||
("mother_teresa", "Mother Teresa", "1910-08-26", "14:25", "Skopje, North Macedonia", ["career", "migration", "health"]),
|
||||
("michael_jackson", "Michael Jackson", "1958-08-29", "19:33", "Gary, IN, USA", ["career", "wealth", "health"]),
|
||||
("queen_elizabeth_ii", "Queen Elizabeth II", "1926-04-21", "02:40", "London, England", ["career", "family", "annual"]),
|
||||
("john_f_kennedy", "John F. Kennedy", "1917-05-29", "15:00", "Brookline, MA, USA", ["career", "family", "health"]),
|
||||
("martin_luther_king_jr", "Martin Luther King Jr.", "1929-01-15", "12:00", "Atlanta, GA, USA", ["career", "timing", "health"]),
|
||||
("angelina_jolie", "Angelina Jolie", "1975-06-04", "09:09", "Los Angeles, CA, USA", ["marriage", "family", "career"]),
|
||||
("brad_pitt", "Brad Pitt", "1963-12-18", "06:31", "Shawnee, OK, USA", ["marriage", "career", "wealth"]),
|
||||
("serena_williams", "Serena Williams", "1981-09-26", "20:28", "Saginaw, MI, USA", ["career", "health", "annual"]),
|
||||
]
|
||||
|
||||
|
||||
QUESTION_MATRIX = {
|
||||
"career": ["事业主轴是什么？", "哪类阶段更容易爆发？"],
|
||||
"wealth": ["财富来源和风险是什么？"],
|
||||
"marriage": ["婚恋关系中应看哪些印度占星指标？"],
|
||||
"health": ["健康主题只能如何非医疗表达？"],
|
||||
"migration": ["迁移/海外发展应看哪些宫位和 Dasha？"],
|
||||
"family": ["家庭/子女主题应调用哪些分盘和宫位？"],
|
||||
"education": ["学习与教育路径怎么看？"],
|
||||
"timing": ["历史关键阶段能否用 Dasha + Narayana 回看？"],
|
||||
"annual": ["年度运势应如何避免过度承诺？"],
|
||||
}
|
||||
|
||||
|
||||
def build(date: str) -> dict[str, Any]:
|
||||
cases = []
|
||||
for case_id, subject, date_s, time_s, place, domains in CASES:
|
||||
cases.append(
|
||||
{
|
||||
"case_id": case_id,
|
||||
"subject": subject,
|
||||
"birth": {"date": date_s, "time": time_s, "place": place, "source_policy": "public_record_candidate"},
|
||||
"domains": domains,
|
||||
"prompts": [q for d in domains for q in QUESTION_MATRIX[d]],
|
||||
"expected_runtime_context": [
|
||||
"birth_input_contract",
|
||||
"ayanamsa_node_mode",
|
||||
"D1",
|
||||
"D9_or_relevant_varga",
|
||||
"Dasha",
|
||||
"Narayana_Dasha_for_timing",
|
||||
"functional_benefic_malefic",
|
||||
"claim_boundary",
|
||||
"similar_case_reference_allowed",
|
||||
],
|
||||
}
|
||||
)
|
||||
return {
|
||||
"scope": "real_case_website_e2e_eval",
|
||||
"created_at": date,
|
||||
"claim_status": "ready_contract",
|
||||
"production_tuning_allowed": False,
|
||||
"truth_matrix_allowed": False,
|
||||
"case_count": len(cases),
|
||||
"cases": cases,
|
||||
"acceptance_rules": [
|
||||
"Website must save/render input contract and runtime context JSON for each prompt.",
|
||||
"Answers may use public cases as explanation references, not prediction proof.",
|
||||
"Precise day/month claims must stay exploratory_unvalidated unless holdout closes.",
|
||||
"Marriage/career/wealth/health/migration/family/education/timing/annual domains must route to matching technique context.",
|
||||
"Any Shadbala/AV/KP conflict must be described as method/source difference, not majority-vote truth.",
|
||||
],
|
||||
"boundary": "Product E2E quality harness only; not an accuracy benchmark or independent holdout.",
|
||||
}
|
||||
|
||||
|
||||
def main() -> int:
|
||||
parser = argparse.ArgumentParser()
|
||||
parser.add_argument("--date", default="2026-07-20")
|
||||
args = parser.parse_args()
|
||||
print(json.dumps(build(args.date), ensure_ascii=False, indent=2, sort_keys=True))
|
||||
return 0
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
raise SystemExit(main())
|
||||
@@ -0,0 +1,44 @@
|
||||
import json
|
||||
import subprocess
|
||||
from pathlib import Path
|
||||
|
||||
|
||||
ROOT = Path(__file__).resolve().parents[1]
|
||||
ARTIFACT = ROOT / "references" / "oracle" / "muhurta_numeric_candidate_capture_packet_2026_07_20.json"
|
||||
INDEX = ROOT / "references" / "oracle" / "evidence_packet_index_2026_07_19.json"
|
||||
|
||||
|
||||
def test_muhurta_numeric_candidate_capture_packet_selects_only_numeric_muhurta_sources():
|
||||
data = json.loads(
|
||||
subprocess.check_output(
|
||||
["python3", "scripts/muhurta_numeric_candidate_capture_packet.py", "--date", "2026-07-20"],
|
||||
cwd=ROOT,
|
||||
text=True,
|
||||
)
|
||||
)
|
||||
assert data["scope"] == "muhurta_numeric_candidate_capture_packet"
|
||||
assert data["claim_status"] == "source_intake_only"
|
||||
assert data["summary"]["candidate_count"] == 2
|
||||
assert data["summary"]["oracle_ready_count"] == 0
|
||||
assert data["production_tuning_allowed"] is False
|
||||
ids = {row["source_id"] for row in data["capture_rows"]}
|
||||
assert ids == {"mypanchang_edison_2025_panchangam", "drikpanchang_mumbai_rahu_2026_07_20"}
|
||||
|
||||
|
||||
def test_muhurta_numeric_candidate_capture_packet_has_hashes_and_replay_blockers():
|
||||
data = json.loads(ARTIFACT.read_text(encoding="utf-8"))
|
||||
for row in data["capture_rows"]:
|
||||
assert row["source_observation_hash"]
|
||||
assert row["canonical_request_hash"]
|
||||
assert row["raw_capture_status"] == "pending_raw_page_capture"
|
||||
assert row["upgrade_status"] == "not_oracle_ready"
|
||||
assert "raw_capture_hash" in row["missing_for_oracle"]
|
||||
assert "replay_comparison" in row["missing_for_oracle"]
|
||||
assert row["next_artifact_path"].startswith("references/oracle/artifacts/")
|
||||
|
||||
|
||||
def test_muhurta_numeric_candidate_capture_packet_is_indexed():
|
||||
packets = {row["packet_id"]: row for row in json.loads(INDEX.read_text(encoding="utf-8"))["packets"]}
|
||||
packet = packets["muhurta_numeric_candidate_capture_packet_2026_07_20"]
|
||||
assert packet["domain"] == "muhurta_factor_scoring"
|
||||
assert packet["claim_status"] == "source_intake_only"
|
||||
@@ -0,0 +1,36 @@
|
||||
import json
|
||||
import subprocess
|
||||
from pathlib import Path
|
||||
|
||||
ROOT = Path(__file__).resolve().parents[1]
|
||||
CONTRACT = ROOT / "references/oracle/prashna_input_contract_2026_07_20.json"
|
||||
QUEUE = ROOT / "references/oracle/prashna_numeric_oracle_packet_queue_2026_07_20.json"
|
||||
INDEX = ROOT / "references/oracle/evidence_packet_index_2026_07_19.json"
|
||||
|
||||
|
||||
def test_prashna_contract_requires_time_place_timezone_ayanamsa_node():
|
||||
data = json.loads(subprocess.check_output(["python3", "scripts/prashna_oracle_queue.py", "--date", "2026-07-20"], cwd=ROOT, text=True))
|
||||
contract = data["contract"]
|
||||
assert contract["scope"] == "prashna_input_contract"
|
||||
required = {row["field"] for row in contract["required_fields"]}
|
||||
assert {"question_datetime_local", "location", "timezone", "ayanamsa", "node_mode"}.issubset(required)
|
||||
assert contract["claim_status"] == "ready_contract"
|
||||
|
||||
|
||||
def test_prashna_queue_keeps_public_numeric_examples_candidate_only():
|
||||
queue = json.loads(QUEUE.read_text(encoding="utf-8"))
|
||||
assert queue["scope"] == "prashna_numeric_oracle_packet_queue"
|
||||
assert queue["claim_status"] == "open_queue"
|
||||
assert queue["summary"]["numeric_candidate_count"] >= 1
|
||||
assert queue["summary"]["oracle_ready_count"] == 0
|
||||
example = next(row for row in queue["rows"] if row["source_id"] == "vedastro_prasna_marga_ch5_sphuta_example")
|
||||
assert example["numeric_fields_present"] is True
|
||||
assert "trisphuta" in example["expected_values"]
|
||||
assert "complete_prashna_input" in example["missing_for_oracle"]
|
||||
assert example["upgrade_status"] == "candidate_not_oracle"
|
||||
|
||||
|
||||
def test_prashna_contract_and_queue_are_indexed():
|
||||
packets = {row["packet_id"]: row for row in json.loads(INDEX.read_text(encoding="utf-8"))["packets"]}
|
||||
assert packets["prashna_input_contract_2026_07_20"]["claim_status"] == "ready_contract"
|
||||
assert packets["prashna_numeric_oracle_packet_queue_2026_07_20"]["claim_status"] == "open_queue"
|
||||
@@ -0,0 +1,32 @@
|
||||
import json
|
||||
import subprocess
|
||||
from pathlib import Path
|
||||
|
||||
|
||||
ROOT = Path(__file__).resolve().parents[1]
|
||||
ARTIFACT = ROOT / "references/real_case_calibration/real_case_website_e2e_eval_2026_07_20.json"
|
||||
INDEX = ROOT / "references/oracle/evidence_packet_index_2026_07_19.json"
|
||||
|
||||
|
||||
def test_real_case_website_e2e_eval_builds_twenty_case_contract():
|
||||
data = json.loads(subprocess.check_output(["python3", "scripts/real_case_website_e2e_eval.py"], cwd=ROOT, text=True))
|
||||
assert data["scope"] == "real_case_website_e2e_eval"
|
||||
assert data["case_count"] == 20
|
||||
assert data["claim_status"] == "ready_contract"
|
||||
assert data["truth_matrix_allowed"] is False
|
||||
assert data["production_tuning_allowed"] is False
|
||||
|
||||
|
||||
def test_real_case_website_e2e_eval_requires_core_runtime_context():
|
||||
data = json.loads(ARTIFACT.read_text(encoding="utf-8"))
|
||||
required = {"D1", "Dasha", "functional_benefic_malefic", "claim_boundary", "similar_case_reference_allowed"}
|
||||
assert all(required <= set(case["expected_runtime_context"]) for case in data["cases"])
|
||||
domains = {domain for case in data["cases"] for domain in case["domains"]}
|
||||
assert {"career", "wealth", "marriage", "health", "migration", "family", "education", "timing", "annual"} <= domains
|
||||
|
||||
|
||||
def test_real_case_website_e2e_eval_is_indexed():
|
||||
packets = {row["packet_id"]: row for row in json.loads(INDEX.read_text(encoding="utf-8"))["packets"]}
|
||||
packet = packets["real_case_website_e2e_eval_2026_07_20"]
|
||||
assert packet["claim_status"] == "ready_contract"
|
||||
assert "not an accuracy benchmark" in packet["claim_boundary"]
|
||||
Reference in New Issue
Block a user