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@@ -15,10 +15,11 @@
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# 函数
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+## 版本1 (计算一个项目内, 所有业务空间类型的业务空间垂直交通关系)
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```
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-create or replace function public.is_vertically_overlap(project_id character varying) returns boolean
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-as
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-$$
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+CREATE OR REPLACE FUNCTION "public"."is_vertically_overlap"("project_id" varchar)
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+ RETURNS "pg_catalog"."bool" AS $BODY$
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+
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from shapely.geometry import Polygon
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import json
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@@ -36,21 +37,27 @@ def is_include(polygon1, poly2):
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length1 = len(polygon1)
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for i in range(1, length1):
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poly1 = get_polygon(polygon1[i])
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- if poly1.overlaps(poly2):
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- return True
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+ try:
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+ if poly1.overlaps(poly2):
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+ return True
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+ except Exception as e:
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+ return False
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if poly1.equals(poly2) or poly1.contains(poly2):
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return False
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return True
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def is_sub_outline_overlap(polygon1, polygon2):
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- poly1 = get_polygon(polygon1[0])
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- poly2 = get_polygon(polygon2[0])
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- if poly1.overlaps(poly2) or poly1.equals(poly2):
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- return True
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- if poly1.contains(poly2):
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- return is_include(polygon1, poly2)
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- if poly2.contains(poly1):
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- return is_include(polygon2, poly1)
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+ try:
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+ poly1 = get_polygon(polygon1[0])
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+ poly2 = get_polygon(polygon2[0])
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+ if poly1.overlaps(poly2) or poly1.equals(poly2):
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+ return True
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+ if poly1.contains(poly2):
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+ return is_include(polygon1, poly2)
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+ if poly2.contains(poly1):
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+ return is_include(polygon2, poly1)
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+ except Exception as e:
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+ return False
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return False
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# 是否垂直方向上面积有重叠
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@@ -100,11 +107,13 @@ try:
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# 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
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# 将结果是true的两个业务空间保存起来
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for building_id, floor_map in row_map.items():
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+ checked_floor = set()
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for floor_id, type_map in floor_map.items():
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+ checked_floor.add(floor_id)
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for object_type, row_arr in type_map.items():
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# 要被对比的楼层
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for other_floor_id in floor_map.keys():
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- if other_floor_id == floor_id:
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+ if other_floor_id in checked_floor:
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continue
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other_type_map = floor_map.get(other_floor_id)
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if object_type not in other_type_map:
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@@ -146,8 +155,175 @@ try:
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except Exception as e:
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plpy.info(e)
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return False
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-$$
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-LANGUAGE 'plpython3u' VOLATILE;
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+$BODY$
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+ LANGUAGE plpython3u VOLATILE
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+ COST 100
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+```
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+
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+## 版本2
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+ 计算一个建筑内, 同一业务空间类型下的某几个业务空间的垂直交通关系
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+```
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+CREATE OR REPLACE FUNCTION "public"."is_vertically_overlap"("project_id" varchar, "_building_id" varchar, "zone_type" varchar, "space_ids" _varchar)
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+ RETURNS "pg_catalog"."bool" AS $BODY$
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+
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+from shapely.geometry import Polygon
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+import json
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+
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+# 获取Polygon对象
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+def get_polygon(single_poly):
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+ poly_len = len(single_poly)
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+ poly = []
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+ for i in range(poly_len):
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+ pair = single_poly[i]
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+ poly.append((pair["X"], pair["Y"]))
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+ return Polygon(poly)
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+
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+# 在polygon1包含polygon2的时候, 检测是否polygon1内的空洞也包含polygon2
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+def is_include(polygon1, poly2):
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+ length1 = len(polygon1)
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+ for i in range(1, length1):
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+ poly1 = get_polygon(polygon1[i])
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+ try:
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+ if poly1.overlaps(poly2):
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+ return True
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+ except Exception as e:
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+ return False
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+ if poly1.equals(poly2) or poly1.contains(poly2):
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+ return False
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+ return True
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+
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+def is_sub_outline_overlap(polygon1, polygon2):
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+ try:
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+ poly1 = get_polygon(polygon1[0])
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+ poly2 = get_polygon(polygon2[0])
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+ if poly1.overlaps(poly2) or poly1.equals(poly2):
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+ return True
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+ if poly1.contains(poly2):
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+ return is_include(polygon1, poly2)
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+ if poly2.contains(poly1):
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+ return is_include(polygon2, poly1)
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+ except Exception as e:
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+ return False
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+ return False
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+
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+# 是否垂直方向上面积有重叠
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+def is_vertically_overlap(polygon1, polygon2):
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+ length1 = len(polygon1)
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+ length2 = len(polygon2)
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+ if length1 == 0 or length2 == 0:
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+ return False
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+
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+ for i in range(length1):
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+ for j in range(length2):
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+ if is_sub_outline_overlap(polygon1[i], polygon2[j]):
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+ return True
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+ return False
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+
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+
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+# building_map 结构 building -> floor -> object_type -> [space_id]
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+def compose_dict(zone_data):
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+ building_map = dict()
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+ for row in zone_data:
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+ building_id = row['building_id']
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+ floor_id = row['floor_id']
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+ object_type = row['object_type']
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+ if building_id not in building_map:
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+ building_map[building_id] = dict()
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+ floor_map = building_map[building_id]
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+ if floor_id not in floor_map:
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+ floor_map[floor_id] = dict()
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+ type_map = floor_map[floor_id]
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+ if object_type not in type_map:
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+ type_map[object_type] = []
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+ arr = type_map[object_type]
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+ arr.append(row)
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+ return building_map
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+
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+def build_sql_str(space_ids_set):
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+ sql_str = ""
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+ for space_id in space_ids_set:
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+ sql_str += '\'' + space_id + '\','
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+ if sql_str.endswith(','):
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+ sql_str = sql_str[0:-1]
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+ return sql_str
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+
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+try:
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+ if len(space_ids) < 1:
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+ plpy.info("no input space_ids")
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+ return True
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+ # 获取建筑下所有的业务空间, 按楼层分类
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+ 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 " +
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+ "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"])
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+ zone_data = zone_plan.execute([project_id, _building_id, zone_type])
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+ plpy.info('all space size : {0}'.format(len(zone_data)))
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+ if len(zone_data) <2:
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+ plpy.info("no enough space to calc")
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+ return True
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+ # 转换space_ids为set类型
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+ space_ids_set = set(space_ids)
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+ row_map = compose_dict(zone_data)
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+
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+ space_outline_json_map = dict()
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+ result_arr = []
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+ # 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
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+ # 将结果是true的两个业务空间保存起来
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+ for building_id, floor_map in row_map.items():
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+ checked_floor = set()
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+ for floor_id, type_map in floor_map.items():
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+ checked_floor.add(floor_id)
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+ for object_type, row_arr in type_map.items():
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+ # 要被对比的楼层
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+ for other_floor_id in floor_map.keys():
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+ if other_floor_id in checked_floor:
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+ continue
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+ other_type_map = floor_map.get(other_floor_id)
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+ if object_type not in other_type_map:
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+ continue
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+ other_row_arr = other_type_map.get(object_type)
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+ for row in row_arr:
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+ for other_row in other_row_arr:
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+ space_id = row['space_id']
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+ other_space_id = other_row['space_id']
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+ if space_id not in space_ids_set and other_space_id not in space_ids_set:
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+ continue
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+ if space_id == other_space_id:
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+ continue
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+ if space_id not in space_outline_json_map:
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+ outline_json = json.loads(row['outline'])
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+ space_outline_json_map[space_id] = outline_json
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+ if other_space_id not in space_outline_json_map:
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+ other_outline_json = json.loads(other_row['outline'])
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+ space_outline_json_map[other_space_id] = other_outline_json
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+ outline = space_outline_json_map[space_id]
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+ other_outline = space_outline_json_map[other_space_id]
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+ if is_vertically_overlap(outline, other_outline):
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+ single_result = []
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+ single_result.append(space_id)
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+ single_result.append(other_space_id)
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+ single_result.append(object_type)
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+ result_arr.append(single_result)
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+ # if len(result_arr) == 0:
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+ # return True
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+ # 删除旧业务空间的垂直交通关系(自动计算的), 添加新关系
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+ # 将下面对数据库的操作作为一个事务, 出异常则自动rollback
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+ with plpy.subtransaction():
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+ sql_str = build_sql_str(space_ids_set)
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+ del_plan = plpy.prepare("delete from r_sp_vertical_sp where space_id in ({0}) or space_other_id in ({0})".format(sql_str), [])
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+ del_plan.execute([])
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+ for single_result in result_arr:
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+ #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"])
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+ #del_manual_plan.execute([single_result[0], single_result[1]])
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+ 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, $4)", ["text", "text", "text", "text"])
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+ #plpy.info(single_result)
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+ insert_plan.execute([single_result[0], single_result[1], project_id, single_result[2]])
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+ return True
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+except Exception as e:
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+ plpy.info(e)
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+ return False
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+
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+$BODY$
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+ LANGUAGE plpython3u VOLATILE
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+ COST 100
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```
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## 输入
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