Agent/examples/piaoquan_demand/pattern_toos/post_data_service.py

from typing import List, Optional

from . import data_operation
from .db_manager import DatabaseManager1
from .models1 import Post, PostDecodeTopicPoint, PostDecodeTopicPointElement, ElementClassificationMapping, \
    GlobalCategory, GlobalElement

db_manager = DatabaseManager1()


def export_post_elements(
        post_ids: List[str],
        merge_leve2: Optional[str] = None,
        platform: Optional[str] = None,
        account_name: Optional[str] = None,
        post_limit: int = 500,
):
    """导出帖子元素数据（含分类路径）+ 分类树快照 + 元素快照

    返回:
      - data: 与 build_transactions_at_depth(data=...) 输入一致的帖子数据
      - categories: 涉及的所有分类节点（含完整祖先链，构成完整树）
      - elements: 涉及分类下的所有全局元素
    """
    try:
        session = db_manager.get_session()
        try:
            from collections import defaultdict

            # 1. 取目标帖子
            post_query = session.query(Post)
            if merge_leve2:
                post_query = post_query.filter(Post.merge_leve2 == merge_leve2)
            if platform:
                post_query = post_query.filter(Post.platform == platform)
            if account_name:
                post_query = post_query.filter(Post.platform_account_name == account_name)

            # 先获取分类完成度 >= 80% 的帖子集合
            qualified_post_ids = set(data_operation.get_fully_classified_post_ids(
                required_types=['实质', '形式'], min_ratio=0.8
            ))
            if not qualified_post_ids:
                return {"success": True, "post_count": 0, "data": {},
                        "categories": [], "elements": []}

            # 在合格帖子范围内按条件筛选并限制数量
            post_query = post_query.filter(Post.post_id.in_(qualified_post_ids))
            if post_ids:
                post_query = post_query.filter(Post.post_id.in_(post_ids))
            post_rows = post_query.order_by(Post.id.desc()).limit(post_limit).all()
            post_ids = [p.post_id for p in post_rows]
            post_obj_map = {p.post_id: p for p in post_rows}
            if not post_ids:
                return {"success": True, "post_count": 0, "data": {},
                        "categories": [], "elements": []}

            # 2. 查询所有选题点
            points = session.query(PostDecodeTopicPoint).filter(
                PostDecodeTopicPoint.post_id.in_(post_ids)
            ).all()

            point_ids = [p.id for p in points]
            points_map = defaultdict(lambda: defaultdict(list))
            for p in points:
                points_map[p.post_id][p.topic_point_type].append(p)

            # 3. 查询所有元素
            elements = session.query(PostDecodeTopicPointElement).filter(
                PostDecodeTopicPointElement.topic_point_id.in_(point_ids)
            ).all() if point_ids else []

            elem_ids = [e.id for e in elements]
            elems_map = defaultdict(list)
            for e in elements:
                elems_map[e.topic_point_id].append(e)

            # 4. 查询分类映射
            mappings = session.query(ElementClassificationMapping).filter(
                ElementClassificationMapping.post_decode_topic_point_element_id.in_(elem_ids)
            ).all() if elem_ids else []

            mapping_map = {m.post_decode_topic_point_element_id: m for m in mappings}

            # 5. 查询涉及的分类（当前有效版本）
            direct_stable_ids = {m.global_category_stable_id for m in mappings if m.global_category_stable_id}
            cat_map = {}  # stable_id → GlobalCategory row
            if direct_stable_ids:
                cats = session.query(GlobalCategory).filter(
                    GlobalCategory.stable_id.in_(direct_stable_ids),
                    GlobalCategory.retired_at_execution_id.is_(None),
                ).all()
                cat_map = {c.stable_id: c for c in cats}

            # 5b. 补全祖先节点，使树完整
            all_stable_ids = set(cat_map.keys())
            missing_parents = set()
            for c in cat_map.values():
                if c.parent_stable_id and c.parent_stable_id not in all_stable_ids:
                    missing_parents.add(c.parent_stable_id)

            while missing_parents:
                parent_cats = session.query(GlobalCategory).filter(
                    GlobalCategory.stable_id.in_(missing_parents),
                    GlobalCategory.retired_at_execution_id.is_(None),
                ).all()
                if not parent_cats:
                    break
                next_missing = set()
                for c in parent_cats:
                    cat_map[c.stable_id] = c
                    all_stable_ids.add(c.stable_id)
                    if c.parent_stable_id and c.parent_stable_id not in all_stable_ids:
                        next_missing.add(c.parent_stable_id)
                missing_parents = next_missing

            # 5c. 查询涉及分类下的 GlobalElement
            global_elements = []
            if all_stable_ids:
                global_elements = session.query(GlobalElement).filter(
                    GlobalElement.belong_category_stable_id.in_(all_stable_ids),
                    GlobalElement.retired_at_execution_id.is_(None),
                ).all()

            # 6. 为未分类的意图元素生成虚拟分类节点
            #    虚拟 stable_id 使用负数自增，避免与真实 ID 冲突
            cat_path_map = {sid: c.path for sid, c in cat_map.items()}
            virtual_stable_id_counter = -1
            intent_name_to_virtual_sid = {}  # 意图元素名称 → 虚拟 stable_id

            # 先扫描一遍，收集所有需要虚拟分类的意图元素名称
            for post_id in post_ids:
                for point_type in ['灵感点', '目的点', '关键点']:
                    for point in points_map[post_id].get(point_type, []):
                        for elem in elems_map.get(point.id, []):
                            if elem.element_type != '意图':
                                continue
                            mapping = mapping_map.get(elem.id)
                            path_str = cat_path_map.get(mapping.global_category_stable_id) if mapping else None
                            if not path_str:
                                name = elem.element_name
                                if name and name not in intent_name_to_virtual_sid:
                                    intent_name_to_virtual_sid[name] = virtual_stable_id_counter
                                    virtual_stable_id_counter -= 1

            # 6b. 组装帖子数据
            result = {}
            for post_id in post_ids:
                post_data = {}
                for point_type in ['灵感点', '目的点', '关键点']:
                    point_list = []
                    for point in points_map[post_id].get(point_type, []):
                        point_item = {
                            "点": point.topic_point_result,
                            "实质": [], "形式": [], "意图": [],
                        }
                        for elem in elems_map.get(point.id, []):
                            mapping = mapping_map.get(elem.id)
                            path_str = cat_path_map.get(mapping.global_category_stable_id) if mapping else None
                            path_list = [s for s in path_str.split('/') if s] if path_str else []

                            if not path_list and elem.element_type == '意图':
                                path_list = [elem.element_name]

                            elem_item = {
                                "名称": elem.element_name,
                                "详细描述": elem.element_description or "",
                                "分类路径": path_list,
                            }
                            if elem.element_type in point_item:
                                point_item[elem.element_type].append(elem_item)

                        point_list.append(point_item)
                    if point_list:
                        post_data[point_type] = point_list

                if post_data:
                    result[post_id] = post_data

            # 7. 序列化分类树（真实分类 + 虚拟意图分类）
            categories_out = []
            for c in cat_map.values():
                categories_out.append({
                    "stable_id": c.stable_id,
                    "name": c.name,
                    "description": c.description or "",
                    "category_nature": c.category_nature,
                    "source_type": c.source_type,
                    "path": c.path,
                    "level": c.level,
                    "parent_stable_id": c.parent_stable_id,
                })

            # 追加虚拟意图分类节点
            for intent_name, v_sid in intent_name_to_virtual_sid.items():
                categories_out.append({
                    "stable_id": v_sid,
                    "name": intent_name,
                    "description": "",
                    "category_nature": None,
                    "source_type": "意图",
                    "path": f"/{intent_name}",
                    "level": 1,
                    "parent_stable_id": None,
                })

            # 8. 序列化元素
            elements_out = []
            for ge in global_elements:
                elements_out.append({
                    "id": ge.id,
                    "name": ge.name,
                    "description": ge.description or "",
                    "element_type": ge.source_type,
                    "element_sub_type": ge.element_sub_type,
                    "belong_category_stable_id": ge.belong_category_stable_id,
                    "occurrence_count": ge.occurrence_count or 1,
                })

        finally:
            session.close()

        return {
            "success": True,
            "post_count": len(result),
            "data": result,
            "post_metadata": {
                post_id: {
                    "account_name": post.platform_account_name,
                    "merge_leve2": post.merge_leve2,
                    "platform": post.platform,
                }
                for post_id, post in post_obj_map.items()
            },
            "categories": categories_out,
            "elements": elements_out,
        }
    except Exception as e:
        import traceback
        traceback.print_exc()