division.py

import os
import json
from collections import defaultdict
from transformers import LlamaTokenizer
from tqdm import tqdm
import argparse

def build_entity_triples(triples):
    entity_triples = defaultdict(list)
    for triple in triples:
        subj, relation, obj = triple
        # 构建完整的三元组字符串
        triple_str = f"{subj} - {relation} - {obj}"
        entity_triples[subj].append(triple_str)
    return entity_triples

def create_paragraphs_with_alignment(subj, old_triples_list, new_triples_list, tokenizer, max_tokens=512):
    paragraphs_old = []
    paragraphs_new = []
    boundaries = []  # 记录段落边界的索引

    index = 0
    start_idx = 0
    while index < len(old_triples_list):
        # 累积令牌长度
        candidate_old_triples = old_triples_list[start_idx:index+1]
        paragraph_text_old = ', '.join(candidate_old_triples)
        tokens_in_paragraph = len(tokenizer.encode(paragraph_text_old, add_special_tokens=False))

        if tokens_in_paragraph > max_tokens:
            if index == start_idx:
                # 单个三元组就超出限制，强制添加
                boundaries.append(index+1)
                start_idx = index+1
                index += 1
            else:
                boundaries.append(index)
                start_idx = index
        else:
            index += 1

    # 添加最后的边界
    if start_idx < len(old_triples_list):
        boundaries.append(len(old_triples_list))

    # 根据边界划分段落
    start = 0
    for end in boundaries:
        # 旧的段落
        old_paragraph_triples = old_triples_list[start:end]
        paragraph_text_old = ', '.join(old_paragraph_triples)
        paragraphs_old.append({
            "title": subj,
            "contents": paragraph_text_old
        })

        # 新的段落
        new_paragraph_triples = new_triples_list[start:end]
        paragraph_text_new = ', '.join(new_paragraph_triples)
        paragraphs_new.append({
            "title": subj,
            "contents": paragraph_text_new
        })

        start = end

    return paragraphs_old, paragraphs_new

def main(args):
    os.makedirs(os.path.dirname(args.old_output_file), exist_ok=True)
    os.makedirs(os.path.dirname(args.new_output_file), exist_ok=True)

    tokenizer = LlamaTokenizer.from_pretrained(args.model_path)

    with open(args.old_input_json_file, 'r') as f:
        old_triples = json.load(f)

    with open(args.new_input_json_file, 'r') as f:
        new_triples = json.load(f)

    old_entity_triples = build_entity_triples(old_triples)
    new_entity_triples = build_entity_triples(new_triples)

    # 处理所有实体
    all_paragraphs_old = []
    all_paragraphs_new = []
    entities = set(old_entity_triples.keys()).union(new_entity_triples.keys())

    for subj in tqdm(entities, desc="Processing entities", unit="entity"):
        old_triples_list = old_entity_triples.get(subj, [])
        new_triples_list = new_entity_triples.get(subj, [])

        # 确保新旧三元组列表长度一致
        max_length = max(len(old_triples_list), len(new_triples_list))
        if len(old_triples_list) < max_length:
            old_triples_list.extend([''] * (max_length - len(old_triples_list)))
        if len(new_triples_list) < max_length:
            new_triples_list.extend([''] * (max_length - len(new_triples_list)))

        paragraphs_old, paragraphs_new = create_paragraphs_with_alignment(
            subj, old_triples_list, new_triples_list, tokenizer, args.max_tokens
        )
        all_paragraphs_old.extend(paragraphs_old)
        all_paragraphs_new.extend(paragraphs_new)

    with open(args.old_output_file, 'w') as out_f:
        json.dump(all_paragraphs_old, out_f, ensure_ascii=False, indent=4)

    with open(args.new_output_file, 'w') as out_f:
        json.dump(all_paragraphs_new, out_f, ensure_ascii=False, indent=4)

    print(f"old {args.old_output_file}")
    print(f"new {args.new_output_file}")

if __name__ == "__main__":
    parser = argparse.ArgumentParser(description="Process old and new triples")
    parser.add_argument('--old_input_json_file', type=str, required=True, help='旧的三元组JSON文件的路径。')
    parser.add_argument('--new_input_json_file', type=str, required=True, help='新的三元组JSON文件的路径。')
    parser.add_argument('--old_output_file', type=str, required=True, help='保存处理后的旧三元组输出文件的完整路径。')
    parser.add_argument('--new_output_file', type=str, required=True, help='保存处理后的新三元组输出文件的完整路径。')
    parser.add_argument('--model_path', type=str, required=True, help='预训练的Tokenizer模型的路径。')
    parser.add_argument('--max_tokens', type=int, default=512, help='每个段落的最大令牌数。')

    args = parser.parse_args()
    main(args)