how/script/data_processing/extract_current_posts.py

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
从当前帖子_what解构结果目录中提取解构任务列表
"""

import json
from pathlib import Path
from typing import Dict, List, Optional
import sys
import re

# 添加项目根目录到路径
project_root = Path(__file__).parent.parent.parent
sys.path.insert(0, str(project_root))

from script.detail import get_xiaohongshu_detail


def extract_post_id_from_filename(filename: str) -> str:
    """从文件名中提取帖子ID"""
    match = re.match(r'^([^_]+)_', filename)
    if match:
        return match.group(1)
    return ""


def get_post_detail(post_id: str) -> Optional[Dict]:
    """获取帖子详情"""
    try:
        detail = get_xiaohongshu_detail(post_id)
        return detail
    except Exception as e:
        print(f"  警告: 获取帖子 {post_id} 详情失败: {e}")
        return None


def extract_features_from_point(point_data: Dict) -> List[str]:
    """
    从点数据中提取特征名称列表

    Args:
        point_data: 点的数据（包含"提取的特征"字段）

    Returns:
        特征名称列表
    """
    features = []
    if "提取的特征" in point_data and isinstance(point_data["提取的特征"], list):
        for feature in point_data["提取的特征"]:
            if "特征名称" in feature:
                features.append(feature["特征名称"])
    return features


def process_inspiration_points(inspiration_data: Dict) -> List[Dict]:
    """
    处理灵感点数据

    Args:
        inspiration_data: 灵感点数据

    Returns:
        灵感点列表
    """
    result = []

    # 处理三个维度：全新内容、共性差异、共性内容
    for dimension in ["全新内容", "共性差异", "共性内容"]:
        if dimension in inspiration_data and isinstance(inspiration_data[dimension], list):
            for item in inspiration_data[dimension]:
                point_item = {
                    "名称": item.get("灵感点", ""),
                    "描述": item.get("描述", ""),
                    "特征列表": extract_features_from_point(item)
                }
                result.append(point_item)

    return result


def process_purpose_points(purpose_data: Dict) -> List[Dict]:
    """
    处理目的点数据

    Args:
        purpose_data: 目的点数据

    Returns:
        目的点列表
    """
    result = []

    if "purposes" in purpose_data and isinstance(purpose_data["purposes"], list):
        for item in purpose_data["purposes"]:
            point_item = {
                "名称": item.get("目的点", ""),
                "描述": item.get("描述", ""),
                "特征列表": extract_features_from_point(item)
            }
            result.append(point_item)

    return result


def process_key_points(key_data: Dict) -> List[Dict]:
    """
    处理关键点数据

    Args:
        key_data: 关键点数据

    Returns:
        关键点列表
    """
    result = []

    if "key_points" in key_data and isinstance(key_data["key_points"], list):
        for item in key_data["key_points"]:
            point_item = {
                "名称": item.get("关键点", ""),
                "描述": item.get("描述", ""),
                "特征列表": extract_features_from_point(item)
            }
            result.append(point_item)

    return result


def process_single_file(file_path: Path) -> Optional[Dict]:
    """
    处理单个JSON文件

    Args:
        file_path: JSON文件路径

    Returns:
        解构任务字典，如果处理失败则返回None
    """
    # 从文件名提取帖子ID
    post_id = extract_post_id_from_filename(file_path.name)
    if not post_id:
        print(f"  警告: 无法从文件名提取帖子ID: {file_path.name}")
        return None

    try:
        # 读取文件
        with open(file_path, "r", encoding="utf-8") as f:
            data = json.load(f)

        # 获取帖子详情
        print(f"  获取帖子 {post_id} 的详情...")
        post_detail = get_post_detail(post_id)
        if not post_detail:
            print(f"  警告: 未能获取帖子 {post_id} 的详情")

        # 提取三点解构数据
        three_points = data.get("三点解构", {})

        # 处理灵感点
        inspiration_points = []
        if "灵感点" in three_points:
            inspiration_points = process_inspiration_points(three_points["灵感点"])

        # 处理目的点
        purpose_points = []
        if "目的点" in three_points:
            purpose_points = process_purpose_points(three_points["目的点"])

        # 处理关键点
        key_points = []
        if "关键点" in three_points:
            key_points = process_key_points(three_points["关键点"])

        # 构建结果
        task_item = {
            "帖子id": post_id,
            "帖子详情": post_detail if post_detail else {},
            "what解构结果": {
                "灵感点列表": inspiration_points,
                "目的点列表": purpose_points,
                "关键点列表": key_points
            }
        }

        return task_item

    except Exception as e:
        print(f"  错误: 处理文件 {file_path.name} 时出错: {e}")
        return None


def main():
    # 输入输出路径（默认使用项目根目录下的 data/data_1117 目录）
    script_dir = Path(__file__).parent
    project_root = script_dir.parent.parent
    data_dir = project_root / "data" / "data_1118"

    input_dir = data_dir / "当前帖子_what解构结果"
    output_file = data_dir / "当前帖子_解构任务列表.json"

    print(f"正在扫描目录: {input_dir}")

    # 获取所有JSON文件
    json_files = list(input_dir.glob("*.json"))
    print(f"找到 {len(json_files)} 个JSON文件\n")

    # 处理所有文件
    task_list = []
    for i, file_path in enumerate(json_files, 1):
        print(f"处理文件 [{i}/{len(json_files)}]: {file_path.name}")
        task_item = process_single_file(file_path)
        if task_item:
            task_list.append(task_item)
            print(f"  ✓ 成功提取")
        print()

    # 构建最终结果
    final_result = {
        "解构任务列表": task_list
    }

    # 统计信息
    print(f"提取统计:")
    print(f"  总帖子数: {len(task_list)}")
    total_inspiration = sum(len(task["what解构结果"]["灵感点列表"]) for task in task_list)
    total_purpose = sum(len(task["what解构结果"]["目的点列表"]) for task in task_list)
    total_key = sum(len(task["what解构结果"]["关键点列表"]) for task in task_list)
    print(f"  总灵感点: {total_inspiration} 个")
    print(f"  总目的点: {total_purpose} 个")
    print(f"  总关键点: {total_key} 个")

    # 保存结果
    print(f"\n正在保存结果到: {output_file}")
    with open(output_file, "w", encoding="utf-8") as f:
        json.dump(final_result, f, ensure_ascii=False, indent=4)

    print("完成!")


if __name__ == "__main__":
    main()