732642856
78 lines
3.9 KiB
Python
78 lines
3.9 KiB
Python
#!/usr/bin/env python3
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"""Create Prashna input contract and numeric oracle candidate queue."""
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from __future__ import annotations
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import argparse, hashlib, json
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from pathlib import Path
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ROOT = Path(__file__).resolve().parents[1]
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CONTRACT = ROOT / "references/oracle/prashna_input_contract_2026_07_20.json"
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QUEUE = ROOT / "references/oracle/prashna_numeric_oracle_packet_queue_2026_07_20.json"
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def h(obj):
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return hashlib.sha256(json.dumps(obj, ensure_ascii=False, sort_keys=True).encode()).hexdigest()
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def build(date: str):
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contract = {
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"scope": "prashna_input_contract",
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"created_at": date,
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"status": "contract_ready",
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"claim_status": "ready_contract",
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"production_tuning_allowed": False,
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"truth_matrix_allowed": False,
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"required_fields": [
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{"field": "question_datetime_local", "format": "YYYY-MM-DDTHH:MM:SS", "boundary": "exact time question is received/accepted"},
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{"field": "location", "format": "lat/lon + place label", "boundary": "place of querent/astrologer must be explicit"},
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{"field": "timezone", "format": "IANA or UTC offset", "boundary": "no implicit local machine timezone"},
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{"field": "ayanamsa", "format": "named sidereal ayanamsa", "boundary": "default must be recorded, e.g. Lahiri"},
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{"field": "node_mode", "format": "mean|true", "boundary": "Rahu/Ketu mode must be frozen"},
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],
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"optional_fields": ["question_text", "querent_id", "house_focus", "language"],
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"claim_boundary": "Input contract only; does not validate Prashna predictions or external numeric parity.",
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}
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rows = [
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{
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"source_id": "vedastro_prasna_marga_ch5_sphuta_example",
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"domain": "horary_annual_sensitive_points",
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"technique_family": "sphuta_trisphuta_family",
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"url": "https://vedastro.org/book/PrasnaMarga/Chapter5",
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"source_role": "public_numeric_candidate",
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"numeric_fields_present": True,
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"expected_values": {
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"sun": "4s 3° 8' 25\"",
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"moon": "3s 19° 36' 34\"",
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"lagna": "3s 27° 22'",
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"gulika": "3s 14° 10'",
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"rahu": "3s 8° 16'",
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"trisphuta": "11s 1° 8' 34\"",
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"chatusphuta": "2s 15° 18' 34\"",
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"panchasphuta": "5s 23° 34' 34\"",
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},
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"missing_for_oracle": ["complete_prashna_input", "ayanamsa", "node_mode", "timezone", "raw_capture_hash", "local_replay", "pyjhora_or_other_legal_replay"],
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"upgrade_status": "candidate_not_oracle",
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"candidate_hash": "",
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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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}
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]
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for row in rows:
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row["candidate_hash"] = h(row)
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queue = {
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"scope": "prashna_numeric_oracle_packet_queue",
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"created_at": date,
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"status": "queue_ready",
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"claim_status": "open_queue",
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"production_tuning_allowed": False,
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"truth_matrix_allowed": False,
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"summary": {"candidate_count": len(rows), "numeric_candidate_count": sum(r["numeric_fields_present"] for r in rows), "oracle_ready_count": 0},
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"rows": rows,
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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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}
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return {"contract": contract, "queue": queue}
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def main():
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ap=argparse.ArgumentParser(); ap.add_argument("--date", default="2026-07-20"); args=ap.parse_args()
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data=build(args.date)
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CONTRACT.write_text(json.dumps(data["contract"], ensure_ascii=False, indent=2, sort_keys=True)+"\n")
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QUEUE.write_text(json.dumps(data["queue"], ensure_ascii=False, indent=2, sort_keys=True)+"\n")
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print(json.dumps(data, ensure_ascii=False, indent=2, sort_keys=True))
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if __name__ == "__main__": main()
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