process_corpus.py

#!/usr/bin/env python3
import argparse
import json
from pathlib import Path

def iter_spans(obj):
    """
    Yield dicts that look like spans with fields:
    title, id_sp, text_sec
    Works whether the JSON is a dict-of-dicts (with numeric keys) or nested.
    """
    if isinstance(obj, dict):
        # Detect a span record
        if all(k in obj for k in ("title", "id_sp", "text_sec")):
            yield obj
        # Otherwise, recurse into values
        for v in obj.values():
            yield from iter_spans(v)
    elif isinstance(obj, list):
        for v in obj:
            yield from iter_spans(v)

def main():
    ap = argparse.ArgumentParser(description="Build ID mapping and unique content from multidoc2dial spans.")
    ap.add_argument("--input", required=True, help="Path to multidoc2dial_doc.json")
    ap.add_argument("--mapping_out", default="mapping.json", help="Output path for mapping dict (JSON)")
    ap.add_argument("--contents_out", default="contents.jsonl", help="Output path for contents (JSONL)")
    # If you ever need a different base suffix than '#1_0', change here:
    ap.add_argument("--base_suffix", default="#1_0", help="Suffix to append after title before _<id_sp>")
    args = ap.parse_args()

    input_path = Path(args.input)
    with input_path.open("r", encoding="utf-8") as f:
        data = json.load(f)

    # Dedup by exact text_sec (after strip)
    text_to_int = {}           # normalized text_sec -> int_id
    next_id = 1

    # Mapping from full key -> int_id
    key_to_int = {}            # "<title>#1_0_<id_sp>" -> int_id

    # For writing contents.jsonl only once per unique int_id
    seen_int_ids = set()

    # First pass: assign int IDs by text_sec
    for span in iter_spans(data):
        title = span["title"].strip()
        id_sp = str(span["id_sp"]).strip()
        text_sec = span["text_sec"].strip()

        full_key = f"{title}{args.base_suffix}_{id_sp}"

        if text_sec not in text_to_int:
            text_to_int[text_sec] = next_id
            next_id += 1

        int_id = text_to_int[text_sec]
        key_to_int[full_key] = int_id

    # Write mapping.json
    with open(args.mapping_out, "w", encoding="utf-8") as f:
        json.dump(key_to_int, f, ensure_ascii=False, indent=2)

    # Write contents.jsonl (one line per unique text_sec)
    # Ensure stable order by int_id
    # Invert text_to_int to {int_id: text_sec}
    int_to_text = {v: k for k, v in text_to_int.items()}
    with open(args.contents_out, "w", encoding="utf-8") as f:
        for int_id in sorted(int_to_text.keys()):
            obj = {"id": int_id, "contents": int_to_text[int_id]}
            f.write(json.dumps(obj, ensure_ascii=False) + "\n")

    print(f"Wrote {len(key_to_int):,} mappings to {args.mapping_out}")
    print(f"Wrote {len(int_to_text):,} unique contents to {args.contents_out}")

if __name__ == "__main__":
    main()