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+# floor_id 是revit的楼层id
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+
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+CREATE OR REPLACE FUNCTION rel_affected_space(project_id character varying, floor_id character varying) RETURNS boolean AS
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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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+# try:
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+# 获取当前楼层绑定的数据中心楼层的id
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+floor_plan = plpy.prepare("SELECT current_model_id, bind_floor_ids FROM revit.model_floor where id = $1", ["text"])
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+floor_data = floor_plan.execute([floor_id])
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+if len(floor_data) != 1:
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+ plpy.info("no floor")
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+ return True
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+floor_arr = json.loads(floor_data[0]['bind_floor_ids'])
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+if len(floor_arr) == 0:
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+ plpy.info("no binding floor")
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+ return True
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+floor_str = ""
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+for fl in floor_arr:
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+ floor_str = (floor_str + fl + ',')
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+floor_str = floor_str.strip(',')
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+plpy.info(floor_str)
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+# 获取当前模型和前一个版本的模型id
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+model_plan = plpy.prepare("select id from revit.model_file where model_floor_id = $1 and removed = false and status = 4 and version is not null order by version desc", ["text"])
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+model_data = model_plan.execute([floor_id], 2)
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+if len(model_data) != 2:
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+ plpy.info("no previous model")
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+ return True
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+sql_str = "select rel.floor_id, rel.space_id, sp.outline from r_sp_in_fl rel left join zone_space_base sp on rel.space_id = sp.id where rel.floor_id in (" + floor_str + ")"
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+# 查询出来的跟模型可能相关的所有业务空间
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+space_data = plpy.execute(sql_str)
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+if len(space_data) == 0:
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+ plpy.info("no space relation under binding floor")
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+ return True
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+plpy.info(space_data)
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+plpy.info(len(space_data))
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+# 获取新模型的元空间
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+new_ispace_plan = plpy.prepare("select revit_id, outline where model_id = $1", ["text"])
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+new_ispace_data = new_ispace_plan.execute([model_data[0]['id']])
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+
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+# 获取旧模型的所有元空间
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+prev_ispace_plan = plpy.prepare("select revit_id, outline where model_id = $1", ["text"])
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+prev_ispace_data = prev_ispace_plan.execute([model_data[1]['id']])
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+
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+affected_space_ids = get_affected_spaced(space_data, new_ispace_data, prev_ispace_data)
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+
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+plpy.info(affected_space_ids)
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+for space_id in affected_space_ids:
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+ space_plan = plpy.prepare("update zone_space_base set state = 1 where id = $1", ["text"])
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+ space_plan.execute([space_id])
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+
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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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+LANGUAGE 'plpython3u' VOLATILE;
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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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+ for floor_id, type_map in floor_map.items():
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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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+ 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 == 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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+ del_plan = plpy.prepare("delete from r_sp_vertical_sp where project_id = $1 and sign = 2", ["text"])
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+ del_plan.execute([project_id])
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+ for single_result in result_arr:
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+ del_manual_plan = plpy.prepare(
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+ "delete from r_sp_vertical_sp where (space_id = $1 and space_other_id = $2) or (space_other_id = $1 and space_id = $2)",
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+ ["text", "text"])
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+ del_manual_plan.execute([single_result[0], single_result[1]])
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+ insert_plan = plpy.prepare(
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+ "insert into r_sp_vertical_sp(space_id, space_other_id, project_id, sign, object_type) values($1, $2, $3, 2, $4)",
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+ ["text", "text", "text", "text"])
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+ insert_plan.execute([single_result[0], single_result[1], project_id, single_result[2]])
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+
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+
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+
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+
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+
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+
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+
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+
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+
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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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+ if poly1.overlaps(poly2):
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+ return True
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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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+ 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) or poly1.equals(poly2):
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+ return is_include(polygon1, poly2)
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+ if poly2.contains(poly1) or poly2.equals(poly1):
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+ return is_include(polygon2, poly1)
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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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+# 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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