计算所有业务空间, 在竖直方向上的面积重叠关系
## 前置条件
只有有轮廓的业务空间才能参与计算
```

```
## 处理方式

获取所有建筑, for循环获取每个建筑下所有的业务空间, 按楼层分类
每个楼层的每个业务空间分别和别的楼层的每个业务空间判断is_vertically_overlap
将结果是true的两个业务空间保存起来
删除旧业务空间的垂直交通关系(自动计算的), 添加新关系

## 实现方式


# 函数
```
create or replace function public.is_vertically_overlap(project_id character varying) returns boolean
as
$$
from shapely.geometry import Polygon
import json

# 获取Polygon对象
def get_polygon(single_poly):
    poly_len = len(single_poly)
    poly = []
    for i in range(poly_len):
        pair = single_poly[i]
        poly.append((pair["X"], pair["Y"]))
    return Polygon(poly)

# 在polygon1包含polygon2的时候, 检测是否polygon1内的空洞也包含polygon2
def is_include(polygon1, poly2):
    length1 = len(polygon1)
    for i in range(1, length1):
        poly1 = get_polygon(polygon1[i])
        if poly1.overlaps(poly2):
            return True
        if poly1.equals(poly2) or poly1.contains(poly2):
            return False
    return True

def is_sub_outline_overlap(polygon1, polygon2):
    poly1 = get_polygon(polygon1[0])
    poly2 = get_polygon(polygon2[0])
    if poly1.overlaps(poly2) or poly1.equals(poly2):
        return True
    if poly1.contains(poly2):
        return is_include(polygon1, poly2)
    if poly2.contains(poly1):
        return is_include(polygon2, poly1)
    return False

# 是否垂直方向上面积有重叠
def is_vertically_overlap(polygon1, polygon2):
    length1 = len(polygon1)
    length2 = len(polygon2)
    if length1 == 0 or length2 == 0:
        return False

    for i in range(length1):
        for j in range(length2):
            if is_sub_outline_overlap(polygon1[i], polygon2[j]):
                return True
    return False


# building -> floor -> object_type -> [space_id]
def compose_dict(zone_data):
    building_map = dict()
    for row in zone_data:
        building_id = row['building_id']
        floor_id = row['floor_id']
        object_type = row['object_type']
        if building_id not in building_map:
            building_map[building_id] = dict()
        floor_map = building_map[building_id]
        if floor_id not in floor_map:
            floor_map[floor_id] = dict()
        type_map = floor_map[floor_id]
        if object_type not in type_map:
            type_map[object_type] = []
        arr = type_map[object_type]
        arr.append(row)
    return building_map


try:
    # 获取所有建筑, for循环获取每个建筑下所有的业务空间, 按楼层分类
    zone_plan = plpy.prepare("SELECT rel.space_id, fl.building_id, rel.floor_id, rel.object_type, sp.outline FROM r_sp_in_fl rel LEFT JOIN public.floor fl on fl.id = rel.floor_id left join zone_space_base sp on rel.space_id = sp.id where rel.project_id = $1 and sp.outline is not null", ["text"])
    zone_data = zone_plan.execute([project_id])
    if len(zone_data) <2:
        return True
    row_map = compose_dict(zone_data)

    space_outline_json_map = dict()
    result_arr = []
    # 每个楼层的每个业务空间分别和别的楼层的每个业务空间判断is_vertically_overlap
    # 将结果是true的两个业务空间保存起来
    for building_id, floor_map in row_map.items():
        for floor_id, type_map in floor_map.items():
            for object_type, row_arr in type_map.items():
                # 要被对比的楼层
                for other_floor_id in floor_map.keys():
                    if other_floor_id == floor_id:
                        continue
                    other_type_map = floor_map.get(other_floor_id)
                    if object_type not in other_type_map:
                        continue
                    other_row_arr = other_type_map.get(object_type)
                    for row in row_arr:
                        for other_row in other_row_arr:
                            space_id = row['space_id']
                            other_space_id = other_row['space_id']
                            if space_id == other_space_id:
                                continue
                            if space_id not in space_outline_json_map:
                                outline_json = json.loads(row['outline'])
                                space_outline_json_map[space_id] = outline_json
                            if other_space_id not in space_outline_json_map:
                                other_outline_json = json.loads(other_row['outline'])
                                space_outline_json_map[other_space_id] = other_outline_json
                            outline = space_outline_json_map[space_id]
                            other_outline = space_outline_json_map[other_space_id]
                            if is_vertically_overlap(outline, other_outline):
                                single_result = []
                                single_result.append(space_id)
                                single_result.append(other_space_id)
                                single_result.append(object_type)
                                result_arr.append(single_result)
    if len(result_arr) == 0:
        return True
    # 删除旧业务空间的垂直交通关系(自动计算的), 添加新关系
    # 将下面对数据库的操作作为一个事务, 出异常则自动rollback
    with plpy.subtransaction():
        del_plan = plpy.prepare("delete from r_sp_vertical_sp where project_id = $1 and sign = 2", ["text"])
        del_plan.execute([project_id])
        for single_result in result_arr:
            del_manual_plan = plpy.prepare("delete from r_sp_vertical_sp where (space_id = $1 and space_other_id = $2) or (space_other_id = $1 and space_id = $2)", ["text", "text"])
            del_manual_plan.execute([single_result[0], single_result[1]])
            insert_plan = plpy.prepare("insert into r_sp_vertical_sp(space_id, space_other_id, project_id, sign, object_type) values($1, $2, $3, 2, $4)", ["text", "text", "text", "text"])
            insert_plan.execute([single_result[0], single_result[1], project_id, single_result[2]])
    return True
except Exception as e:
    plpy.info(e)
    return False
$$
LANGUAGE 'plpython3u' VOLATILE;
```

## 输入
    1. 项目id
## 返回结果
    true    成功
    false   失败