File size: 4,047 Bytes
1219ee2 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 | #!/usr/bin/env python3
"""Create one synthetic Meta3 response for local parser tests. No network calls."""
from __future__ import annotations
import argparse
import json
from datetime import datetime, timezone
from pathlib import Path
from typing import Any
ROOT = Path(__file__).resolve().parents[1]
def load_json(path: Path) -> dict[str, Any]:
with path.open("r", encoding="utf-8") as handle:
data = json.load(handle)
if not isinstance(data, dict):
raise ValueError(f"Expected JSON object: {path}")
return data
def load_jsonl(path: Path) -> list[dict[str, Any]]:
rows: list[dict[str, Any]] = []
with path.open("r", encoding="utf-8") as handle:
for line_no, line in enumerate(handle, start=1):
if not line.strip():
continue
data = json.loads(line)
if not isinstance(data, dict):
raise ValueError(f"Expected JSON object in {path}:{line_no}")
rows.append(data)
return rows
def write_json(path: Path, data: dict[str, Any]) -> None:
path.parent.mkdir(parents=True, exist_ok=True)
path.write_text(json.dumps(data, ensure_ascii=False, indent=2) + "\n", encoding="utf-8")
def latest_run_dir() -> Path:
runs_root = ROOT / "runs"
candidates = sorted(p for p in runs_root.iterdir() if p.is_dir())
if not candidates:
raise FileNotFoundError("No run dirs found. Run scripts/meta3_prepare.py first.")
return candidates[-1]
def run_dir_for(run_id: str | None) -> Path:
return ROOT / "runs" / run_id if run_id else latest_run_dir()
def main() -> int:
parser = argparse.ArgumentParser(description="Write one mock OpenAI-compatible response.")
parser.add_argument("--run-id", default=None, help="Run id under runs/. Defaults to latest run.")
parser.add_argument("--mode", choices=["calibration", "claim_ledger"], default="calibration")
parser.add_argument("--packet-index", type=int, default=0)
args = parser.parse_args()
run_dir = run_dir_for(args.run_id)
packet_manifest = load_json(run_dir / f"outputs/workpackets/{args.mode}_packet_manifest.json")
packets = load_jsonl(Path(str(packet_manifest["packet_path"])))
if not packets:
raise ValueError("No workpackets found")
packet = packets[args.packet_index]
answer = {
"question_id": packet["question_id"],
"mode": packet["mode"],
"canonical_thesis": "Mock thesis for parser validation only.",
"claims": [
{
"claim": "Mock claim anchored to the first digest.",
"supporting_digest_indices": [1],
"supporting_source_paths": [packet["digests"][0]["source_path"]],
"counterevidence_or_limit": "Mock response is not evidence for the real analysis.",
"confidence": "low",
}
],
"counterevidence_status": "mock_not_evaluated",
"uncertainty": "Synthetic response; validates extraction and schema only.",
"owner_next_step": "Run real network packets only after requirements and preflight pass.",
}
response = {
"packet_id": packet["packet_id"],
"status_code": 200,
"started_at": datetime.now(timezone.utc).isoformat(),
"finished_at": datetime.now(timezone.utc).isoformat(),
"request_model": "mock-model",
"mock": True,
"network_calls_made": 0,
"response": {
"choices": [
{
"message": {
"role": "assistant",
"content": json.dumps(answer, ensure_ascii=False),
}
}
]
},
}
output_path = run_dir / "outputs/responses" / args.mode / f"{packet['packet_id']}.json"
write_json(output_path, response)
print(f"mock_response={output_path}")
print(f"packet_id={packet['packet_id']}")
print("network_calls_made=0")
return 0
if __name__ == "__main__":
raise SystemExit(main())
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