新增查询指定日期范围和典型时段巡检路口数据的详情数据导出接口
This commit is contained in:
wangxu
parent
5d3c40988e
commit
73f3970319
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@ -85,6 +85,12 @@ def cross_problems_detail_api():
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def update_cross_examine_record_state_api():
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def update_cross_examine_record_state_api():
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return update_cross_examine_record_state(request.json)
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return update_cross_examine_record_state(request.json)
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@app.route('/api/explode_cross_problem_detail', methods=['GET'])
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def explode_cross_problem_detail_api():
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return explode_cross_problem_detail(dict(request.args))
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from app.user_views import *
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from app.user_views import *
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from app.views_task import *
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from app.views_task import *
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from app.views_workstation import *
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from app.views_workstation import *
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@ -450,3 +450,51 @@ def update_cross_examine_record_state(params):
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return json.dumps(make_common_res(0, 'ok'))
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return json.dumps(make_common_res(0, 'ok'))
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return json.dumps(make_common_res(11, '修改失败，请检查后重试'))
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return json.dumps(make_common_res(11, '修改失败，请检查后重试'))
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# 离线导出巡检路口指标明细表
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def explode_cross_problem_detail(params):
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nodeid = check_param(params, 'nodeid')
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if not nodeid:
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return json.dumps(make_common_res(2, '缺少城市信息， 请刷新后重试'))
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area_id = check_param(params, 'area_id')
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if not area_id:
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return json.dumps(make_common_res(3, '缺少辖区信息， 请刷新后重试'))
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time_range = check_param(params, 'time_range')
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if not time_range:
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return json.dumps(make_common_res(4, '缺少时间范围信息， 请刷新后重试'))
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start_date = check_param(params, 'start_date')
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if not start_date:
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return json.dumps(make_common_res(5, '缺少开始时间， 请选择开始时间'))
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end_date = check_param(params, 'end_date')
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if not end_date:
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return json.dumps(make_common_res(6, '缺少结束时间， 请选择结束时间'))
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excel = check_param(params, 'excel')
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if not excel:
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excel = 0
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excel = int(excel)
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routing_crosses = db_tmnet.query_routing_crosses(nodeid, area_id)
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routing_crosses_dict = {item['crossid']: item for item in routing_crosses}
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cross_roads_dir_dict = gen_crossids_roads_dir_dict_by_mysql([item['crossid'] for item in routing_crosses], nodeid)
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for crossid in routing_crosses_dict.keys():
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routing_crosses_dict[crossid]['roads_dir_dict'] = cross_roads_dir_dict[crossid]
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tp_start = 't' + str(int(str(time_range.split('-')[0]).split(':')[0]) * 100 + int(str(time_range.split('-')[0]).split(':')[1]))
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tp_end = int(str(time_range.split('-')[1]).split(':')[0]) * 100 + int(str(time_range.split('-')[1]).split(':')[1])
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date_list = generate_date_range(start_date, end_date)
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all_cross_data = []
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for crossid in routing_crosses_dict.keys():
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days_data = db_cross.query_cross_delay_info(crossid, nodeid, date_list, tp_start)
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days_pb_list = parse_data2pb(days_data)
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cross_data_list = parse_cross_delay_detail_list(routing_crosses_dict[crossid], days_pb_list, time_range)
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all_cross_data.extend(cross_data_list)
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if excel == 1:
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return export_excel(all_cross_data)
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res = make_common_res(0, 'ok')
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res['data'] = all_cross_data
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return json.dumps(clean_dict_nan(res, '-'), ensure_ascii=False)
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@ -14,6 +14,7 @@ import random
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from openpyxl import Workbook
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from openpyxl import Workbook
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from openpyxl.styles import Alignment
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from openpyxl.styles import Alignment
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from openpyxl.utils import get_column_letter
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import proto.xlcomm_pb2 as pb
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import proto.xlcomm_pb2 as pb
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from app.common_worker import *
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from app.common_worker import *
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@ -2372,3 +2373,172 @@ def query_cross_delay_info_controller_export_excel(road_flow_delay_infos, road_f
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mimetype='application/vnd.openxmlformats-officedocument.spreadsheetml.sheet',
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mimetype='application/vnd.openxmlformats-officedocument.spreadsheetml.sheet',
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as_attachment=True,
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as_attachment=True,
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download_name=f"路口诊断指标.xlsx")
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download_name=f"路口诊断指标.xlsx")
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def parse_cross_delay_detail_list(cross_info, delay_info_list, time_range):
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cross_id = cross_info['crossid']
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cross_name = cross_info['name']
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weekday_str = '全周'
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max_car_num = 0
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for item in delay_info_list:
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if item['data'].delay_info.car_num > max_car_num:
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max_car_num = item['data'].delay_info.car_num
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data_list = []
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for item in delay_info_list:
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relative_flow_rate = round(item['data'].delay_info.car_num / max_car_num, 2) if max_car_num > 0 else 0
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item_dict = {
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'cross_id': cross_id,
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'cross_name': cross_name,
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'weekday': weekday_str,
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'time_range': time_range,
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'day': item['day'],
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'service_level': calc_service_level(item['data'].delay_info.delay_time, item['data'].delay_info.stop_times) if item['data'].delay_info.car_num >= 10 else '-',
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'stop_times': round(item['data'].delay_info.stop_times, 2) if item['data'].delay_info.car_num >= 10 else '-',
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'high_park_percent': item['data'].delay_info.high_park_percent if item['data'].delay_info.car_num >= 10 else '-',
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'park_time': item['data'].delay_info.park_time if item['data'].delay_info.car_num >= 10 else '-',
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'delay_time': item['data'].delay_info.delay_time if item['data'].delay_info.car_num >= 10 else '-',
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'speed': round(item['data'].delay_info.speed / 100, 2) if item['data'].delay_info.car_num >= 10 else '-',
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'move_speed': round(item['data'].delay_info.move_speed / 100, 2) if item['data'].delay_info.car_num >= 10 else '-',
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'relative_flow_rate': relative_flow_rate if item['data'].delay_info.car_num >= 10 else '-',
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'flow': item['data'].delay_info.car_num,
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'jam_index': round(item['data'].delay_info.jam_index, 2) if item['data'].delay_info.car_num >= 10 else '-',
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'imbalance_index': round(item['data'].delay_info.imbalance_index, 2) if item['data'].delay_info.car_num >= 10 else '-',
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'service_level_color': 0,
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'stop_times_color': 0,
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'high_park_percent_color': 0,
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'park_time_color': 0,
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'delay_time_color': 0,
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'speed_color': 0,
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'move_speed_color': 0,
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'relative_flow_rate_color': 0,
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'flow_color': 0,
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'jam_index_color': 0,
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'imbalance_index_color': 0,
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'stop_times_rate': 0,
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'high_park_percent_rate': 0,
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'park_time_rate': 0,
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'delay_time_rate': 0,
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'speed_rate': 0,
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'move_speed_rate': 0,
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'relative_flow_rate_rate': 0,
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'flow_rate': 0,
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'jam_index_rate': 0,
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'imbalance_index_rate': 0,
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}
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data_list.append(item_dict)
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for i in range(len(data_list)-1, -1, -1):
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if i != 0:
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item_data = data_list[i]
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prev_data = data_list[i-1]
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if item_data['service_level'] != '-' and prev_data['service_level'] != '-':
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if item_data['service_level'] < prev_data['service_level']:
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item_data['service_level_color'] = 2
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elif item_data['service_level'] > prev_data['service_level']:
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item_data['service_level_color'] = 1
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for key in ('delay_time', 'stop_times', 'high_park_percent', 'park_time', 'relative_flow_rate', 'flow', 'jam_index', 'imbalance_index'):
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if item_data[key] == '-' or prev_data[key] == '-':
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continue
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if prev_data[key] != 0:
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rate = round((item_data[key] - prev_data[key]) / prev_data[key] * 100, 2)
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item_data[key + '_rate'] = rate
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if rate > 20:
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item_data[key + '_color'] = 1
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elif rate < -20:
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item_data[key + '_color'] = 2
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for key in ('speed', 'move_speed'):
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if item_data[key] == '-' or prev_data[key] == '-':
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continue
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if prev_data[key] != 0:
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rate = round((item_data[key] - prev_data[key]) / prev_data[key] * 100, 2)
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item_data[key + '_rate'] = rate
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if rate > 20:
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item_data[key + '_color'] = 2
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elif rate < -20:
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item_data[key + '_color'] = 1
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return data_list
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def export_excel(all_cross_data):
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wb = Workbook()
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sheet1 = wb.active
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table_header = [
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{'A1': '路口ID'},
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{'B1': '路口名称'},
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{'C1': '运行日期'},
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{'D1': '时段'},
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{'E1': '停车次数'},
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{'F1': '停车次数变化率'},
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{'G1': '多次停车率%'},
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{'H1': '多次停车率变化率'},
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{'I1': '停车时间（秒）'},
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{'J1': '停车时间变化率'},
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{'K1': '延迟时间（秒）'},
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{'L1': '延迟时间变化率'},
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{'M1': '平均速度（KM/H）'},
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{'N1': '平均速度变化率'},
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{'O1': '不停车速度（KM/H）'},
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{'P1': '不停车速度变化率'},
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{'Q1': '相对流量'},
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{'R1': '相对流量变化率'},
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{'S1': '拥堵指数'},
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{'T1': '拥堵指数变化率'},
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{'U1': '路口失衡指数'},
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{'V1': '路口失衡指数变化率'},
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{'W1': '服务水平'},
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{'X1': '服务水平变化情况'}
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]
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for item in table_header:
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for k, v in item.items():
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sheet1[k] = v
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sheet1[k].alignment = Alignment(horizontal='center', vertical='center')
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# 自动调整列宽
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for col_idx, header in enumerate(table_header, 1):
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# 计算列宽：可以根据字体大小适当调整这个公式
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# 通常一个中文字符占2个单位宽度，英文字符占1个单位宽度
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column_width = len(list(header.values())[0].encode('utf-8')) * 1.2 # 粗略估算
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adjusted_width = min(max(column_width, 10), 50) # 设置最小和最大宽度限制
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sheet1.column_dimensions[get_column_letter(col_idx)].width = adjusted_width
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for item in all_cross_data:
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service_level_color = '-'
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if item['service_level_color'] == 1:
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service_level_color = '恶化'
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elif item['service_level_color'] == 2:
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service_level_color = '优化'
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item_data = [
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item['cross_id'],
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item['cross_name'],
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item['weekday'],
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item['time_range'],
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item['stop_times'],
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item['stop_times_rate'],
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item['high_park_percent'],
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item['high_park_percent_rate'],
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item['park_time'],
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item['park_time_rate'],
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item['delay_time'],
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item['delay_time_rate'],
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item['speed'],
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item['speed_rate'],
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item['move_speed'],
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item['move_speed_rate'],
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item['relative_flow_rate'],
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item['relative_flow_rate_rate'],
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item['jam_index'],
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item['jam_index_rate'],
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item['imbalance_index'],
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item['imbalance_index_rate'],
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item['service_level'],
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service_level_color
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]
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sheet1.append(item_data)
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file_stream = io.BytesIO()
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wb.save(file_stream)
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file_stream.seek(0) # 将指针移到文件开头
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return send_file(
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file_stream,
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mimetype='application/vnd.openxmlformats-officedocument.spreadsheetml.sheet',
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as_attachment=True,
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download_name=f"路口信息明细指标.xlsx")
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