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functions

jxing 4 years ago
parent
commit
502d1555ba
1 changed files with 739 additions and 1 deletions
  1. 739 1
      src/affected_space/function.py

+ 739 - 1
src/affected_space/function.py

@@ -188,4 +188,742 @@ LANGUAGE 'plpython3u' VOLATILE;
 #             type_map[object_type] = []
 #         arr = type_map[object_type]
 #         arr.append(row)
-#     return building_map
+#     return building_map
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+CREATE OR REPLACE FUNCTION "public"."rel_sp2fl"("project_id" varchar)
+  RETURNS "pg_catalog"."bool" AS $BODY$
+from matplotlib.path import Path
+import json
+from shapely.geometry import Polygon
+
+# 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)
+
+# 判断业务空间轮廓是否跟楼层轮廓有重叠
+def is_space_floor_overlap(space_outline, floor_outline):
+    try:
+        if space_outline is None or floor_outline is None:
+            return False
+        space_json = json.loads(space_outline)
+        floor_json = json.loads(floor_outline)
+        if len(floor_json) < 3 or len(space_json) == 0:
+            return False
+        floor_poly = get_polygon(floor_json)
+        for i in range(len(space_json)):
+            sub_space = space_json[i]
+            sub_space_poly = get_polygon(sub_space[0])
+            if floor_poly.contains(sub_space_poly) or floor_poly.equals(sub_space_poly) or floor_poly.overlaps(sub_space_poly) or sub_space_poly.contains(floor_poly):
+                return True
+        return False
+    except Exception as e:
+        plpy.info('计算轮廓异常')
+        plpy.info(e)
+        return False
+
+column_model_id = 'model_id'
+column_space_id = 'space_id'
+column_floor_id1 = 'id1'
+column_floor_outline1 = 'outline1'
+column_floor_building1 = 'bd1'
+column_floor_id2 = 'id2'
+column_floor_outline2 = 'outline2'
+column_floor_building2 = 'bd2'
+column_space_zone = 'object_type'
+
+# 构建一个  model_id --> set{floor_id} 的dict
+def compose_model_id_floor_dict(involved_floors):
+    model_id_floor_dict = dict()
+    floor_outline_dict = dict()
+    floor_building_dict = dict()
+    for row in involved_floors:
+        model_id = row.get(column_model_id)
+        if model_id not in model_id_floor_dict:
+            model_id_floor_dict[model_id] = set()
+        floor_set = model_id_floor_dict[model_id]
+        id1 = row.get(column_floor_id1)
+        outline1 = row.get(column_floor_outline1)
+        building_id1 = row.get(column_floor_building1)
+        id2 = row.get(column_floor_id2)
+        outline2 = row.get(column_floor_outline2)
+        building_id2 = row.get(column_floor_building2)
+        floor_set.add(id1)
+        floor_set.add(id2)
+        floor_building_dict[id1] = building_id1
+        floor_building_dict[id2] = building_id2
+        if id1 not in floor_outline_dict:
+            floor_outline_dict[id1] = outline1
+        if id2 not in floor_outline_dict:
+            floor_outline_dict[id2] = outline2
+    return model_id_floor_dict, floor_outline_dict, floor_building_dict
+
+# 计算一个楼层组内的业务空间与楼层的轮廓关系
+def calc_floor_group(floor_set, floor_outline_dict):
+    sql_str = ""
+    for floor_id in floor_set:
+        sql_str += '\'' + floor_id + '\','
+    if sql_str.endswith(','):
+        sql_str = sql_str[0:-1]
+    plpy.info('sql : {0}'.format(sql_str))
+    involved_space_plan = plpy.prepare("SELECT distinct rel.space_id space_id, sp.outline outline1, sp.object_type object_type " +
+        "FROM r_sp_in_fl rel inner join zone_space_base sp on sp.id = rel.space_id where rel.floor_id in ({0}) and sp.outline is not null".format(sql_str), ["text"])
+    involved_space = involved_space_plan.execute([project_id])
+    plpy.info("involved space:{}".format(len(involved_space)))
+    result_dict = dict()    # space_id --> set{floor_id}
+    space_zone_dict = dict()   # space_id --> object_type
+    for space_row in involved_space:
+        space_outline = space_row.get(column_floor_outline1)
+        space_id = space_row.get(column_space_id)
+        space_zone = space_row.get(column_space_zone)
+        space_zone_dict[space_id] = space_zone
+        result_dict[space_id] = set()
+        rel_floor_set = result_dict[space_id]
+        for floor_id in floor_set:
+        #for floor_id, floor_outline in floor_outline_dict.items():
+            floor_outline = floor_outline_dict[floor_id]
+            if is_space_floor_overlap(space_outline, floor_outline):
+                plpy.info('{0} : {1}'.format(space_id, floor_id))
+                rel_floor_set.add(floor_id)
+    return result_dict, space_zone_dict
+
+# 删除以前的关系
+def delete_prev_rel(floor_set):
+    sql_str = ''
+    for floor_id in floor_set:
+        sql_str += '\'{0}\','.format(floor_id)
+    if sql_str.endswith(','):
+        sql_str = sql_str[0:-1]
+    delete_rel_plan = plpy.prepare("delete from public.r_sp_in_fl where floor_id in ({0})".format(sql_str), [])
+    delete_rel_plan.execute([])
+
+# 添加关系到数据库
+def add_rel(result_dict, space_zone_dict, floor_building_dict):
+    for space_id, floor_set in result_dict.items():
+        space_zone = space_zone_dict[space_id]
+        for floor_id in floor_set:
+            floor_building = floor_building_dict[floor_id]
+            plpy.info("space_id : {0}, floor_id : {1}".format(space_id, floor_id))
+            insert_rel_plan = plpy.prepare("insert into public.r_sp_in_fl(floor_id, space_id, object_type, project_id, sign, building_id) " +
+                "values($1, $2, $3, $4, 2, $5)", ["text", "text", "text", "text", "text"])
+            try:
+                insert_rel_plan.execute([floor_id, space_id, space_zone, project_id, floor_building])
+            except Exception as e:
+                plpy.info(e)
+
+try:
+    # 将下面对数据库的操作作为一个事务, 出异常则自动rollback
+
+    involved_floors_plan = plpy.prepare("select f1.id id1, f1.building_id bd1, f2.id id2, f2.building_id bd2, f1.model_id model_id, f1.outline outline1, f2.outline outline2 " +
+        "from floor f1 inner join floor f2 on f1.model_id = f2.model_id " +
+        "where f1.id != f2.id and f1.outline is not null and f2.outline is not null and f1.project_id = $1 and f2.project_id = $1", ["text"])
+    involved_floors = involved_floors_plan.execute([project_id])
+    if len(involved_floors) == 0 :
+        plpy.info('没有需要计算的改变')
+        return True
+    plpy.info(len(involved_floors))
+    model_id_floor_dict, floor_outline_dict, floor_building_dict = compose_model_id_floor_dict(involved_floors)
+    plpy.info(len(floor_outline_dict))
+    plpy.info(len(floor_building_dict))
+    plpy.info(len(model_id_floor_dict))
+    for model_id, floor_set in model_id_floor_dict.items():
+        with plpy.subtransaction():
+            plpy.info(model_id)
+            plpy.info(floor_set)
+            result_dict, space_zone_dict = calc_floor_group(floor_set, floor_outline_dict)  # space_id -->所属 set{floor_id},  space_id --> object_type
+            delete_prev_rel(floor_set)
+            add_rel(result_dict, space_zone_dict, floor_building_dict)
+    return True
+except Exception as e:
+    plpy.warning(e)
+    return False
+$BODY$
+  LANGUAGE plpython3u VOLATILE
+  COST 100;
+
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+CREATE OR REPLACE FUNCTION "public"."rel_eq2sp"("tables" text, "out_tables" text, "project_id" varchar, "sign1" int4, "sign2" int4)
+  RETURNS "pg_catalog"."bool" AS $BODY$
+from matplotlib.path import Path
+import json
+
+def is_in_meta_polygon(point, single_poly, radius):
+    poly_len = len(single_poly)
+    poly = []
+    for i in range(poly_len):
+        pair = single_poly[i]
+        poly.append((pair["X"], pair["Y"]))
+    p = Path(poly)
+    return p.contains_points([point], None, radius)
+
+
+def is_in_polygon(point, polygons):
+    polygons_length = len(polygons)
+    if polygons_length == 0:
+        return False
+    for j in range(polygons_length):
+        polygon = polygons[j]
+        if j == 0:
+            if not is_in_meta_polygon(point, polygon, -0.001):
+                return False
+        else:
+            if is_in_meta_polygon(point, polygon, 0.001):
+                return False
+    return True
+
+
+def is_point_in_polygon(x, y, json_poly):
+    try:
+        polygon_list = json.loads(json_poly)
+        total_len = len(polygon_list)
+        point_pair = (float(x), float(y))
+        for index in range(total_len):
+            if is_in_polygon(point_pair, polygon_list[index]):
+                return True
+        return False
+    except Exception as e:
+        plpy.info(e)
+        return False
+
+
+# 将下面对数据库的操作作为一个事务, 出异常则自动rollback
+input_table_list = tables.split(',')
+output_table_list = out_tables.split(',')
+with plpy.subtransaction():
+    for i in range(0, len(input_table_list)):
+        in_table_name = input_table_list[i]
+        out_table_name = output_table_list[i]
+        # 删除原来关系表中的数据
+        plan1 = plpy.prepare("delete from {0} where project_id = $1 and (sign = $2 or sign = $3)".format(out_table_name.strip()), ["text", "integer", "integer"])
+        plan1.execute([project_id, sign1, sign2])
+        # 计算关系
+        plan_floor = plpy.prepare("select id from floor where project_id = $1", ["text"])
+        floors = plan_floor.execute([project_id])
+        # 按楼层计算
+        for floor in floors:
+            floor_id = floor['id']
+            # 获取楼层下的设备
+            plan_equip = plpy.prepare("select id, bim_location from equipment where project_id = $1 and bim_location is not null and floor_id = $2", ["text", "text"])
+            equips = plan_equip.execute([project_id, floor_id])
+            if len(equips) == 0:
+                continue
+            # 获取楼层下的业务空间
+
+            space_plan = plpy.prepare("select sp.id, sp.outline, sp.object_type from public.r_sp_in_fl rel inner join {0} sp on rel.space_id = sp.id where outline is not null and rel.floor_id = $1".format(in_table_name), ["text"])
+            spaces = space_plan.execute([floor_id])
+            if len(spaces) == 0:
+                continue
+            # 判断设备的bim_location是否在业务空间的outline内
+            for equip in equips:
+                for space in spaces:
+                    try:
+                        location = equip['bim_location'].split(',')
+                        if is_point_in_polygon(location[0], location[1], space['outline']):
+                            # 设备在业务空间内, 添加关系
+                            insert_plan = plpy.prepare("insert into {0}(eq_id, sp_id, project_id, sign, type, zone_type) values($1, $2, $3, 2, 'eq2sp_in', $4)".format(out_table_name.strip()), ["text", "text", "text", "text"])
+                            insert_plan.execute([equip['id'], space['id'], project_id, space['object_type']])
+                    except Exception as ex:
+                        plpy.warning(ex)
+                        continue
+return True
+$BODY$
+  LANGUAGE plpython3u VOLATILE
+  COST 100
+
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+CREATE OR REPLACE FUNCTION "revit_calc"."check_grid_valid"("project_id" varchar, "folder_id" varchar, "model_id" varchar)
+  RETURNS TABLE("id" varchar, "floor_name" varchar, "project_id" varchar, "folder_id" varchar, "fid" varchar, "accept_time" timestamptz, "version" int4, "note" text, "user_id" varchar, "user_name" varchar, "log" jsonb, "url" text, "md5" varchar, "status" int2, "group_id" int4, "plan_name" varchar) AS $BODY$
+    from relations.src.grid.check_grid import check_grid_upright
+
+
+    involved_model_sql = "select * from revit.model_floor_file_func('" + project_id + "') where folder_id = '"+ folder_id +"' and ( status in (4) or  fid = '" + model_id + "')"
+    grid_sql = "select * from revit.grid where model_id = "
+
+    involved_model = plpy.execute(involved_model_sql)
+    grid_data = dict()
+    for item in involved_model:
+        current_grid_sql = grid_sql + '\'{model_id}\''.format(model_id=item.get('fid'))
+        single_model_grid = plpy.execute(current_grid_sql)
+        grid_data[item.get('fid')] = single_model_grid
+    result = check_grid_upright(involved_model, grid_data)
+    return involved_model
+$BODY$
+  LANGUAGE plpython3u VOLATILE
+  COST 100
+  ROWS 1000
+
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+CREATE OR REPLACE FUNCTION "public"."is_vertically_overlap"("project_id" varchar)
+  RETURNS "pg_catalog"."bool" AS $BODY$
+
+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])
+        try:
+            if poly1.overlaps(poly2):
+                return True
+        except Exception as e:
+            return False
+        if poly1.equals(poly2) or poly1.contains(poly2):
+            return False
+    return True
+
+def is_sub_outline_overlap(polygon1, polygon2):
+    try:
+        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)
+    except Exception as e:
+        return False
+    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():
+        checked_floor = set()
+        for floor_id, type_map in floor_map.items():
+            checked_floor.add(floor_id)
+            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 in checked_floor:
+                        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
+    plpy.info(len(result_arr))
+    # 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, $4)", ["text", "text", "text", "text"])
+            insert_plan.execute([single_result[0], single_result[1], project_id, single_result[2]])
+    return True
+except Exception as e:
+    plpy.info(e)
+    return False
+$BODY$
+  LANGUAGE plpython3u VOLATILE
+  COST 100
+
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+CREATE OR REPLACE FUNCTION "public"."f_lock"("func_name" varchar, "project_id" varchar)
+  RETURNS "pg_catalog"."bool" AS $BODY$
+
+lock_plan = plpy.prepare("select func_name, func_param, reentry from public.func_lock where func_name = $1 and func_param = $2", ["text", "text"])
+lock = lock_plan.execute([func_name, project_id])
+if len(lock) == 0:
+    try:
+        insert_lock_plan = plpy.prepare("insert into public.func_lock(func_name, func_param) values($1, $2)",["text", "text"])
+        lock = insert_lock_plan.execute([func_name, project_id])
+    except Exception as e:
+        plpy.info("insert lock error : {0}".format(e))
+retry_times = 10
+while retry_times > 0:
+    retry_times = retry_times - 1
+    lock_plan = plpy.prepare("select func_name, func_param, reentry from public.func_lock where func_name = $1 and func_param = $2", ["text", "text"])
+    lock = lock_plan.execute([func_name, project_id])
+    if len(lock) == 1:
+        reentry_count = lock[0].get('reentry')
+        if reentry_count > 0:
+            update_lock_plan = plpy.prepare("update public.func_lock set reentry = $1 where func_name = $2 and func_param = $3 and reentry = $4", ["integer", "text", "text", "integer"])
+            result = update_lock_plan.execute([reentry_count - 1, func_name, project_id, reentry_count])
+            if result.nrows() > 0:
+                return True
+return False
+$BODY$
+  LANGUAGE plpython3u VOLATILE
+  COST 100
+
+
+
+
+
+
+
+
+
+CREATE OR REPLACE FUNCTION "public"."f_unlock"("func_name" varchar, "project_id" varchar)
+  RETURNS "pg_catalog"."bool" AS $BODY$
+
+retry_times = 10
+while retry_times > 0:
+    retry_times = retry_times - 1
+    lock_plan = plpy.prepare("select func_name, func_param, reentry from public.func_lock where func_name = $1 and func_param = $2", ["text", "text"])
+    lock = lock_plan.execute([func_name, project_id])
+    if len(lock) == 0:
+        return True
+
+    reentry_count = lock[0].get('reentry')
+    reentry_total = lock[0].get('reentry_total')
+    plpy.info(reentry_count)
+    plpy.info(reentry_total)
+    if reentry_count >= reentry_total :
+        return True
+    update_lock_plan = plpy.prepare("update public.func_lock set reentry = $1 where func_name = $2 and func_param = $3 and reentry = $4", ["integer", "text", "text", "integer"])
+    result = update_lock_plan.execute([reentry_count + 1, func_name, project_id, reentry_count])
+    if result.nrows() > 0:
+        return True
+return False
+$BODY$
+  LANGUAGE plpython3u VOLATILE
+  COST 100
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+CREATE OR REPLACE FUNCTION public.is_vertically_overlap(project_id varchar, _building_id varchar, zone_type varchar, space_ids _varchar)
+  RETURNS "pg_catalog"."bool" AS $BODY$
+
+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])
+        try:
+            if poly1.overlaps(poly2):
+                return True
+        except Exception as e:
+            return False
+        if poly1.equals(poly2) or poly1.contains(poly2):
+            return False
+    return True
+
+def is_sub_outline_overlap(polygon1, polygon2):
+    try:
+        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)
+    except Exception as e:
+        return False
+    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_map 结构  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
+
+def build_sql_str(space_ids_set):
+    sql_str = ""
+    for space_id in space_ids_set:
+        sql_str += '\'' + space_id + '\','
+    if sql_str.endswith(','):
+        sql_str = sql_str[0:-1]
+    return sql_str
+
+try:
+    if len(space_ids) < 1:
+        plpy.info("no input space_ids")
+        return True
+    # 获取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 and fl.building_id = $2 and sp.object_type = $3", ["text", "text", "text"])
+    zone_data = zone_plan.execute([project_id, _building_id, zone_type])
+    plpy.info('all space size : {0}'.format(len(zone_data)))
+    if len(zone_data) <2:
+        plpy.info("no enough space to calc")
+        return True
+    # 转换space_ids为set类型
+    space_ids_set = set(space_ids)
+    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():
+        checked_floor = set()
+        for floor_id, type_map in floor_map.items():
+            checked_floor.add(floor_id)
+            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 in checked_floor:
+                        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 not in space_ids_set and other_space_id not in space_ids_set:
+                                continue
+                            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():
+        sql_str = build_sql_str(space_ids_set)
+        del_plan = plpy.prepare("delete from r_sp_vertical_sp where space_id in ({0}) or space_other_id in ({0})".format(sql_str), [])
+        del_plan.execute([])
+        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, $4)", ["text", "text", "text", "text"])
+            #plpy.info(single_result)
+            insert_plan.execute([single_result[0], single_result[1], project_id, single_result[2]])
+    return True
+except Exception as e:
+    plpy.info(e)
+    return False
+
+$BODY$
+  LANGUAGE plpython3u VOLATILE
+  COST 100