File size: 2,639 Bytes
2e511b5 | 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 | #!/usr/bin/env python3
"""Build the published Legora prompt-metadata JSONL from the prompt-bearing export.
The 2026-08-05 Legora re-export (``data/raw/legora_2026-08-05_prompts.xlsx``)
carries the per-column question text of both runs in row 2: the left column
group belongs to ``legora-1``, the right one to ``legora-2`` (see
``scripts/compare_legora_prompts.py`` / ``data/analysis/legora_prompt_comparison.md``).
This script writes one JSONL file per run with a record per field:
{"model": "legora-1", "inference_date": "2026-08-01", "field": ..., "prompt": ...}
python build_legora_prompts_jsonl.py --xlsx ../data/raw/legora_2026-08-05_prompts.xlsx \\
--out-dir inference-results/prompts
"""
import argparse
import json
from pathlib import Path
import openpyxl
RUNS = ("legora-1", "legora-2")
INFERENCE_DATE = "2026-08-01"
PROMPT_SUFFIX = " (with prompt)"
def read_prompts(xlsx: Path) -> dict[str, dict[str, str]]:
"""Return ``{model: {field: prompt}}`` from the export's prompt row."""
wb = openpyxl.load_workbook(xlsx, data_only=True, read_only=True)
ws = wb.worksheets[0]
rows = ws.iter_rows(min_row=1, max_row=2, values_only=True)
header, prompt_row = next(rows), next(rows)
out: dict[str, dict[str, str]] = {run: {} for run in RUNS}
for head, prompt in zip(header, prompt_row):
if not head or not str(head).endswith(PROMPT_SUFFIX) or not prompt:
continue
field = str(head)[: -len(PROMPT_SUFFIX)]
run = RUNS[0] if field not in out[RUNS[0]] else RUNS[1]
out[run][field] = " ".join(str(prompt).split())
return out
def main(argv: list[str] | None = None) -> int:
parser = argparse.ArgumentParser(description=__doc__.split("\n\n")[0])
parser.add_argument("--xlsx", type=Path,
default=Path("../data/raw/legora_2026-08-05_prompts.xlsx"))
parser.add_argument("--out-dir", type=Path, default=Path("inference-results/prompts"))
args = parser.parse_args(argv)
prompts = read_prompts(args.xlsx)
args.out_dir.mkdir(parents=True, exist_ok=True)
for run, fields in prompts.items():
dst = args.out_dir / f"prompts_{run.replace('-', '_')}.jsonl"
with dst.open("w", encoding="utf-8") as f:
for field, prompt in fields.items():
record = {"model": run, "inference_date": INFERENCE_DATE,
"field": field, "prompt": prompt}
f.write(json.dumps(record, ensure_ascii=False) + "\n")
print(f"wrote {len(fields)} prompt record(s) to {dst}")
return 0
if __name__ == "__main__":
raise SystemExit(main())
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