368 lines
28 KiB
Python
368 lines
28 KiB
Python
# -*- coding: utf-8 -*-
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# @Author: Owl
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# @Date: 2025/11/27 11:17
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# @Description: 路口优化对比页面相关公共函数
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from pypinyin import lazy_pinyin
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from app.eva_common import *
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def gen_compare_overview_res(eva_overview, comp_eva_overview):
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# comp_index 为优化前指标
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main_flows_num = len(eva_overview['main_flow_src_desc'].split('、'))
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comp_main_flows_num = len(comp_eva_overview['main_flow_src_desc'].split('、'))
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high_stop_turns_num = sum([len(item.split('/')) for item in eva_overview['high_stop_turn_ratio_desc'].split('、')])
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comp_high_stop_turns_num = sum([len(item.split('/')) for item in comp_eva_overview['high_stop_turn_ratio_desc'].split('、')])
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overview = {
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'stop_times': eva_overview['stop_times'],
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'comp_stop_times': comp_eva_overview['stop_times'],
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'stop_times_color': calc_index_color(eva_overview['stop_times'], comp_eva_overview['stop_times'], 'stop_times'),
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'jam_index': eva_overview['jam_index'],
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'comp_jam_index': comp_eva_overview['jam_index'],
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'jam_index_color': calc_index_color(eva_overview['jam_index'], comp_eva_overview['jam_index'], 'jam_index'),
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'high_park_percent': eva_overview['high_park_percent'].replace('%', ''),
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'comp_high_park_percent': comp_eva_overview['high_park_percent'].replace('%', ''),
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'high_park_percent_color': calc_index_color(float(eva_overview['high_park_percent'].replace('%', '')), float(comp_eva_overview['high_park_percent'].replace('%', '')), 'high_park_percent'),
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'imbalance_index': eva_overview['imbalance_index'],
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'comp_imbalance_index': comp_eva_overview['imbalance_index'],
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'imbalance_index_color': calc_index_color(eva_overview['imbalance_index'], comp_eva_overview['imbalance_index'], 'imbalance_index'),
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'speed': eva_overview['speed'],
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'comp_speed': comp_eva_overview['speed'],
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'speed_color': calc_index_color(eva_overview['speed'], comp_eva_overview['speed'], 'speed'),
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'move_speed': eva_overview['move_speed'],
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'comp_move_speed': comp_eva_overview['move_speed'],
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'move_speed_color': calc_index_color(eva_overview['move_speed'], comp_eva_overview['move_speed'], 'move_speed'),
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'delay_time': eva_overview['delay_time'],
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'comp_delay_time': comp_eva_overview['delay_time'],
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'delay_time_color': calc_index_color(eva_overview['delay_time'], comp_eva_overview['delay_time'], 'delay_time'),
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'park_time': eva_overview['park_time'],
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'comp_park_time': comp_eva_overview['park_time'],
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'park_time_color': calc_index_color(eva_overview['park_time'], comp_eva_overview['park_time'], 'park_time'),
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'service_level': eva_overview['service_level'],
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'comp_service_level': comp_eva_overview['service_level'],
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'main_flow_nums': main_flows_num,
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'comp_main_flow_nums': comp_main_flows_num,
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'high_stop_turns_num': high_stop_turns_num,
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'comp_high_stop_turns_num': comp_high_stop_turns_num
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}
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return overview
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def calc_index_color(index, comp_index, key):
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color = 0
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if key not in ('speed', 'move_speed'):
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rate = 0 if (comp_index in (0, '-') or index == '-') else round((index - comp_index) / comp_index * 100, 2)
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if rate > 20:
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color = 1
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elif rate < -20:
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color = 2
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else:
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rate = 0 if (comp_index in (0, '-') or index == '-') else round((index - comp_index) / comp_index * 100, 2)
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if rate < -20:
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color = 1
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elif rate > 20:
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color = 2
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return color
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def parse_comp_inroad_delay_infos(inroad_delay_infos, comp_inroad_delay_infos):
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inroad_data_keys = inroad_delay_infos.keys()
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comp_inroad_data_keys = comp_inroad_delay_infos.keys()
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all_keys = inroad_data_keys | comp_inroad_data_keys
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res = {}
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for key in all_keys:
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comp_data = {
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'item': '优化前',
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'service_level': comp_inroad_delay_infos[key]['service_level'] if key in comp_inroad_data_keys else '-',
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'stop_times': comp_inroad_delay_infos[key]['stop_times'] if key in comp_inroad_data_keys else '-',
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'high_park_percent': str(comp_inroad_delay_infos[key]['high_park_percent']) + '%' if key in comp_inroad_data_keys else '-',
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'imbalance_index': comp_inroad_delay_infos[key]['imbalance_index'] if key in comp_inroad_data_keys else '-',
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'park_time': comp_inroad_delay_infos[key]['park_time'] if key in comp_inroad_data_keys else '-',
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'delay_time': comp_inroad_delay_infos[key]['delay_time'] if key in comp_inroad_data_keys else '-',
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'speed': comp_inroad_delay_infos[key]['speed'] if key in comp_inroad_data_keys else '-',
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'move_speed': comp_inroad_delay_infos[key]['move_speed'] if key in comp_inroad_data_keys else '-'
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}
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item_data = {
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'item': '优化后',
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'service_level': inroad_delay_infos[key]['service_level'] if key in inroad_data_keys else '-',
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'stop_times': inroad_delay_infos[key]['stop_times'] if key in inroad_data_keys else '-',
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'high_park_percent': str(inroad_delay_infos[key]['high_park_percent']) + '%' if key in inroad_data_keys else '-',
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'imbalance_index': inroad_delay_infos[key]['imbalance_index'] if key in inroad_data_keys else '-',
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'park_time': inroad_delay_infos[key]['park_time'] if key in inroad_data_keys else '-',
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'delay_time': inroad_delay_infos[key]['delay_time'] if key in inroad_data_keys else '-',
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'speed': inroad_delay_infos[key]['speed'] if key in inroad_data_keys else '-',
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'move_speed': inroad_delay_infos[key]['move_speed'] if key in inroad_data_keys else '-'
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}
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diff_data = {
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'item': '变化量',
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'service_level': '-' if item_data['service_level'] == '-' or comp_data['service_level'] == '-' else compare_level(comp_data['service_level'], item_data['service_level']),
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'stop_times': '-' if item_data['stop_times'] == '-' or comp_data['stop_times'] == '-' else round(item_data['stop_times'] - comp_data['stop_times'], 2),
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'high_park_percent': '-' if item_data['high_park_percent'] == '-' or comp_data['high_park_percent'] == '-' else str(round(float(item_data['high_park_percent'].replace('%', '')) - float(comp_data['high_park_percent'].replace('%', '')), 2)) + '%',
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'imbalance_index': '-' if item_data['imbalance_index'] == '-' or comp_data['imbalance_index'] == '-' else round(item_data['imbalance_index'] - comp_data['imbalance_index'], 2),
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'park_time': '-' if item_data['park_time'] == '-' or comp_data['park_time'] == '-' else item_data['park_time'] - comp_data['park_time'],
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'delay_time': '-' if item_data['delay_time'] == '-' or comp_data['delay_time'] == '-' else item_data['delay_time'] - comp_data['delay_time'],
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'speed': '-' if item_data['speed'] == '-' or comp_data['speed'] == '-' else round(item_data['speed'] - comp_data['speed'], 2),
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'move_speed': '-' if item_data['move_speed'] == '-' or comp_data['move_speed'] == '-' else round(item_data['move_speed'] - comp_data['move_speed'], 2),
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'stop_times_color': '-' if item_data['stop_times'] == '-' or comp_data['stop_times'] == '-' else calc_index_color(item_data['stop_times'], comp_data['stop_times'], 'stop_times'),
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'high_park_percent_color': '-' if item_data['high_park_percent'] == '-' or comp_data['high_park_percent'] == '-' else calc_index_color(float(item_data['high_park_percent'].replace('%', '')), float(comp_data['high_park_percent'].replace('%', '')), 'high_park_percent'),
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'imbalance_index_color': '-' if item_data['imbalance_index'] == '-' or comp_data['imbalance_index'] == '-' else calc_index_color(item_data['imbalance_index'], comp_data['imbalance_index'], 'imbalance_index'),
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'park_time_color': '-' if item_data['park_time'] == '-' or comp_data['park_time'] == '-' else calc_index_color(item_data['park_time'], comp_data['park_time'], 'park_time'),
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'delay_time_color': '-' if item_data['delay_time'] == '-' or comp_data['delay_time'] == '-' else calc_index_color(item_data['delay_time'], comp_data['delay_time'], 'delay_time'),
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'speed_color': '-' if item_data['speed'] == '-' or comp_data['speed'] == '-' else calc_index_color(item_data['speed'], comp_data['speed'], 'speed'),
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'move_speed_color': '-' if item_data['move_speed'] == '-' or comp_data['move_speed'] == '-' else calc_index_color(item_data['move_speed'], comp_data['move_speed'], 'move_speed')
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}
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turn_type = inroad_delay_infos[key]['flow_delays'].keys() if key in inroad_delay_infos.keys() else set()
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comp_turn_type = comp_inroad_delay_infos[key]['flow_delays'].keys() if key in comp_inroad_delay_infos.keys() else set()
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all_turn_type = turn_type | comp_turn_type
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flow_delay_datas = {}
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for item_turn in all_turn_type:
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flow_comp_data = {
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'item': '优化前',
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'service_level': comp_inroad_delay_infos[key]['flow_delays'][item_turn]['service_level'] if key in comp_inroad_delay_infos.keys() and item_turn in comp_turn_type else '-',
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'stop_times': comp_inroad_delay_infos[key]['flow_delays'][item_turn]['stop_times'] if key in comp_inroad_delay_infos.keys() and item_turn in comp_turn_type else '-',
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'high_park_percent': str(comp_inroad_delay_infos[key]['flow_delays'][item_turn]['high_park_percent']) + '%' if key in comp_inroad_delay_infos.keys() and item_turn in comp_turn_type else '-',
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'park_time': comp_inroad_delay_infos[key]['flow_delays'][item_turn]['park_time'] if key in comp_inroad_delay_infos.keys() and item_turn in comp_turn_type else '-',
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'delay_time': comp_inroad_delay_infos[key]['flow_delays'][item_turn]['delay_time'] if key in comp_inroad_delay_infos.keys() and item_turn in comp_turn_type else '-',
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'speed': comp_inroad_delay_infos[key]['flow_delays'][item_turn]['speed'] if key in comp_inroad_delay_infos.keys() and item_turn in comp_turn_type else '-',
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'move_speed': comp_inroad_delay_infos[key]['flow_delays'][item_turn]['move_speed'] if key in comp_inroad_delay_infos.keys() and item_turn in comp_turn_type else '-'
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}
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flow_item_data = {
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'item': '优化后',
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'service_level': inroad_delay_infos[key]['flow_delays'][item_turn]['service_level'] if key in inroad_delay_infos.keys() and item_turn in turn_type else '-',
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'stop_times': inroad_delay_infos[key]['flow_delays'][item_turn]['stop_times'] if key in inroad_delay_infos.keys() and item_turn in turn_type else '-',
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'high_park_percent': str(inroad_delay_infos[key]['flow_delays'][item_turn]['high_park_percent']) + '%' if key in inroad_delay_infos.keys() and item_turn in turn_type else '-',
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'park_time': inroad_delay_infos[key]['flow_delays'][item_turn]['park_time'] if key in inroad_delay_infos.keys() and item_turn in turn_type else '-',
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'delay_time': inroad_delay_infos[key]['flow_delays'][item_turn]['delay_time'] if key in inroad_delay_infos.keys() and item_turn in turn_type else '-',
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'speed': inroad_delay_infos[key]['flow_delays'][item_turn]['speed'] if key in inroad_delay_infos.keys() and item_turn in turn_type else '-',
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'move_speed': inroad_delay_infos[key]['flow_delays'][item_turn]['move_speed'] if key in inroad_delay_infos.keys() and item_turn in turn_type else '-'
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}
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flow_diff_data = {
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'item': '变化量',
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'service_level': '-' if flow_comp_data['service_level'] == '-' or flow_item_data['service_level'] == '-' else compare_level(flow_comp_data['service_level'], flow_item_data['service_level']),
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'stop_times': '-' if flow_comp_data['stop_times'] == '-' or flow_item_data['stop_times'] == '-' else round(flow_comp_data['stop_times'] - flow_item_data['stop_times'], 2),
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'high_park_percent': '-' if flow_comp_data['high_park_percent'] == '-' or flow_item_data['high_park_percent'] == '-' else str(round(float(flow_comp_data['high_park_percent'].replace('%', '')) - float(flow_item_data['high_park_percent'].replace('%', '')), 2)) + '%',
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'park_time': '-' if flow_comp_data['park_time'] == '-' or flow_item_data['park_time'] == '-' else round(flow_comp_data['park_time'] - flow_item_data['park_time'], 2),
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'delay_time': '-' if flow_comp_data['delay_time'] == '-' or flow_item_data['delay_time'] == '-' else round(flow_comp_data['delay_time'] - flow_item_data['delay_time'], 2),
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'speed': '-' if flow_comp_data['speed'] == '-' or flow_item_data['speed'] == '-' else round(flow_comp_data['speed'] - flow_item_data['speed'], 2),
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'move_speed': '-' if flow_comp_data['move_speed'] == '-' or flow_item_data['move_speed'] == '-' else round(flow_comp_data['move_speed'] - flow_item_data['move_speed'], 2),
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'stop_times_color': '-' if flow_item_data['stop_times'] == '-' or flow_comp_data['stop_times'] == '-' else calc_index_color(flow_item_data['stop_times'], flow_comp_data['stop_times'], 'stop_times'),
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'high_park_percent_color': '-' if flow_item_data['high_park_percent'] == '-' or flow_comp_data['high_park_percent'] == '-' else calc_index_color(float(flow_item_data['high_park_percent'].replace('%', '')), float(comp_data['high_park_percent'].replace('%', '')), 'high_park_percent'),
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'park_time_color': '-' if flow_item_data['park_time'] == '-' or flow_comp_data['park_time'] == '-' else calc_index_color(flow_item_data['park_time'], flow_comp_data['park_time'], 'park_time'),
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'delay_time_color': '-' if flow_item_data['delay_time'] == '-' or flow_comp_data['delay_time'] == '-' else calc_index_color(flow_item_data['delay_time'], flow_comp_data['delay_time'], 'delay_time'),
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'speed_color': '-' if flow_item_data['speed'] == '-' or flow_comp_data['speed'] == '-' else calc_index_color(flow_item_data['speed'], flow_comp_data['speed'], 'speed'),
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'move_speed_color': '-' if flow_item_data['move_speed'] == '-' or flow_comp_data['move_speed'] == '-' else calc_index_color(flow_item_data['move_speed'], flow_comp_data['move_speed'], 'move_speed')
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}
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flow_delay_datas[item_turn] = {
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'item_data': flow_item_data,
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'comp_data': flow_comp_data,
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'diff_data': flow_diff_data
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}
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res[key] = {
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'src_dir': inroad_delay_infos[key]['src_dir'] if key in inroad_delay_infos.keys() and 'src_dir' in inroad_delay_infos[key] else comp_inroad_delay_infos[key]['src_dir'],
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'dir_data': {
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'item_data': item_data,
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'comp_data': comp_data,
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'diff_data': diff_data,
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'flow_delay_datas': flow_delay_datas
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}
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}
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tmp_dict = {v['src_dir']: k for k, v in res.items()}
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sorted_tmp_dict = sort_dict_by_clockwise(tmp_dict)
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sorted_key = list(sorted_tmp_dict.values())
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final_res = {k: res[k] for k in sorted_key}
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return final_res
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def compare_level(new, old):
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if new == '-' or old == '-':
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return 0
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scores = {'A': 0, 'B': 1, 'C': 2, 'D': 3, 'E': 4, 'F': 5}
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new_score, old_score = scores.get(new, 99), scores.get(old, 99)
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if new_score == old_score:
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return 0
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return 2 if new_score < old_score else 1
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def find_job_info(key, value_list):
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result = []
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# 遍历名字列表
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for value in value_list:
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# 检查是否完全匹配
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if key in value['cross_name']:
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result.append(value)
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if key == value['cross_name']:
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result = [value]
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break
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# 检查是否是首字母缩写匹配
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elif len(key) >= 2 and len(value['cross_name']) >= 2:
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# 将名字转换为拼音并提取首字母
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first_pinyin = lazy_pinyin(value['cross_name'][0])[0]
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second_pinyin = lazy_pinyin(value['cross_name'][1])[0]
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if key[0].lower() == first_pinyin[0].lower() and key[1].lower() == second_pinyin[0].lower():
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result.append(value)
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# # 检查是否包含关键字
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# elif key in value['wave_name']:
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# result.append(value)
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return result
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def query_compare_data_export_excel(compared_inroad_delay_infos, cross_name,compare_date_list,date_list,time_range):
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wb = Workbook()
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sheet1 = wb.active
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sheet1.title = "调度计划表" # 给第一个 sheet 命名
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table_head = [
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{"range": "A1:A2", "value": "路口名称"},
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{"range": "B1:B2", "value": "进口道"},
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{"range": "C1:C2", "value": "对比"},
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{"range": "D1:D2", "value": "服务水平"},
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{"range": "E1:F1", "value": "转向服务水平"},
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{"range": "E2", "value": "左转", "width": 10},
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{"range": "F2", "value": "直行", "width": 10},
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{"range": "G1:G2", "value": "停车次数"},
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{"range": "H1:I1", "value": "转向停车次数"},
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{"range": "H2", "value": "左转"},
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{"range": "I2", "value": "直行"},
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{"range": "J1:J2", "value": "多次停车率", "width": 20},
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{"range": "K1:L1", "value": "转向多次停车率"},
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{"range": "K2", "value": "左转", "width": 10},
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{"range": "L2", "value": "直行", "width": 10},
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# {"range": "M1:M2", "value": "行程时间(s)", "width": 20},
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# {"range": "N1:O1", "value": "转向行程时间(s)"},
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# {"range": "N2", "value": "左转", "width": 10},
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# {"range": "O2", "value": "直行", "width": 10},
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{"range": "M1:M2", "value": "延误时间(s)", "width": 20},
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{"range": "N1:O1", "value": "转向延误时间(s)"},
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{"range": "N2", "value": "左转", "width": 10},
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{"range": "O2", "value": "直行", "width": 10},
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{"range": "P1:P2", "value": "平均速度(Km/h)", "width": 20},
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{"range": "Q1:R1", "value": "转向平均速度(Km/h)"},
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{"range": "Q2", "value": "左转", "width": 10},
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{"range": "R2", "value": "直行", "width": 10},
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{"range": "S1:S2", "value": "不停车速度(Km/h)", "width": 20},
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{"range": "T1:U1", "value": "转向不停车速度(KM/h)"},
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{"range": "T2", "value": "左转", "width": 15},
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{"range": "U2", "value": "直行", "width": 15},
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{"range": "V1:V2", "value": "转向失衡系数", "width": 20},
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]
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for item_head in table_head:
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sheet1.merge_cells(item_head['range'])
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cell = item_head['range'].split(":")[0]
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sheet1[cell] = item_head['value']
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sheet1[cell].alignment = Alignment(horizontal='center', vertical='center')
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if item_head.get('width'):
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sheet1.column_dimensions[cell[:-1]].width = item_head['width']
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in_road_num = len(compared_inroad_delay_infos)
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sheet1.merge_cells(f"A3:A{in_road_num * 3 + 2}")
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sheet1["A3"] = cross_name
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sheet1["A3"].alignment = Alignment(horizontal='center', vertical='center', wrap_text=True)
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index = 3
|
|
for road, road_value in compared_inroad_delay_infos.items():
|
|
start_row = index
|
|
middle_row = index + 1
|
|
end_row = index + 2
|
|
sheet1.merge_cells(f"B{start_row}:B{end_row}")
|
|
sheet1[f"B{index}"] = srcDir_toStr(road_value['src_dir'])
|
|
sheet1[f"B{index}"].alignment = Alignment(horizontal='center', vertical='center')
|
|
index = end_row + 1
|
|
sheet1[f"C{start_row}"] = "优化前"
|
|
sheet1[f"D{start_row}"] = road_value['dir_data']['comp_data']['service_level']
|
|
sheet1[f"E{start_row}"] = road_value['dir_data']['flow_delay_datas'][1]['comp_data']['service_level'] if road_value['dir_data']['flow_delay_datas'].get(1) else ''
|
|
sheet1[f"F{start_row}"] = road_value['dir_data']['flow_delay_datas'][0]['comp_data']['service_level'] if road_value['dir_data']['flow_delay_datas'].get(0) else ''
|
|
sheet1[f"G{start_row}"] = road_value['dir_data']['comp_data']['stop_times']
|
|
sheet1[f"H{start_row}"] = road_value['dir_data']['flow_delay_datas'][1]['comp_data']['stop_times'] if road_value['dir_data']['flow_delay_datas'].get(1) else ''
|
|
sheet1[f"I{start_row}"] = road_value['dir_data']['flow_delay_datas'][0]['comp_data']['stop_times'] if road_value['dir_data']['flow_delay_datas'].get(0) else ''
|
|
sheet1[f"J{start_row}"] = road_value['dir_data']['comp_data']['high_park_percent']
|
|
sheet1[f"K{start_row}"] = road_value['dir_data']['flow_delay_datas'][1]['comp_data']['high_park_percent'] if road_value['dir_data']['flow_delay_datas'].get(1) else ''
|
|
sheet1[f"L{start_row}"] = road_value['dir_data']['flow_delay_datas'][0]['comp_data']['high_park_percent'] if road_value['dir_data']['flow_delay_datas'].get(0) else ''
|
|
sheet1[f"M{start_row}"] = road_value['dir_data']['comp_data']['delay_time']
|
|
sheet1[f"M{start_row}"] = road_value['dir_data']['flow_delay_datas'][1]['comp_data']['delay_time'] if road_value['dir_data']['flow_delay_datas'].get(1) else ''
|
|
sheet1[f"N{start_row}"] = road_value['dir_data']['flow_delay_datas'][0]['comp_data']['delay_time'] if road_value['dir_data']['flow_delay_datas'].get(0) else ''
|
|
sheet1[f"P{start_row}"] = road_value['dir_data']['comp_data']['speed']
|
|
sheet1[f"Q{start_row}"] = road_value['dir_data']['flow_delay_datas'][1]['comp_data']['speed'] if road_value['dir_data']['flow_delay_datas'].get(1) else ''
|
|
sheet1[f"R{start_row}"] = road_value['dir_data']['flow_delay_datas'][0]['comp_data']['speed'] if road_value['dir_data']['flow_delay_datas'].get(0) else ''
|
|
sheet1[f"S{start_row}"] = road_value['dir_data']['comp_data']['move_speed']
|
|
sheet1[f"T{start_row}"] = road_value['dir_data']['flow_delay_datas'][1]['comp_data']['move_speed'] if road_value['dir_data']['flow_delay_datas'].get(1) else ''
|
|
sheet1[f"U{start_row}"] = road_value['dir_data']['flow_delay_datas'][0]['comp_data']['move_speed'] if road_value['dir_data']['flow_delay_datas'].get(0) else ''
|
|
sheet1[f"V{start_row}"] = road_value['dir_data']['comp_data']['imbalance_index']
|
|
|
|
sheet1[f"C{middle_row}"] = "优化后"
|
|
sheet1[f"D{middle_row}"] = road_value['dir_data']['item_data']['service_level']
|
|
sheet1[f"E{middle_row}"] = road_value['dir_data']['flow_delay_datas'][1]['item_data']['service_level'] if road_value['dir_data']['flow_delay_datas'].get(1) else ''
|
|
sheet1[f"F{middle_row}"] = road_value['dir_data']['flow_delay_datas'][0]['item_data']['service_level'] if road_value['dir_data']['flow_delay_datas'].get(0) else ''
|
|
sheet1[f"G{middle_row}"] = road_value['dir_data']['item_data']['stop_times']
|
|
sheet1[f"H{middle_row}"] = road_value['dir_data']['flow_delay_datas'][1]['item_data']['stop_times'] if road_value['dir_data']['flow_delay_datas'].get(1) else ''
|
|
sheet1[f"I{middle_row}"] = road_value['dir_data']['flow_delay_datas'][0]['item_data']['stop_times'] if road_value['dir_data']['flow_delay_datas'].get(0) else ''
|
|
sheet1[f"J{middle_row}"] = road_value['dir_data']['item_data']['high_park_percent']
|
|
sheet1[f"K{middle_row}"] = road_value['dir_data']['flow_delay_datas'][1]['item_data']['high_park_percent'] if road_value['dir_data']['flow_delay_datas'].get(1) else ''
|
|
sheet1[f"L{middle_row}"] = road_value['dir_data']['flow_delay_datas'][0]['item_data']['high_park_percent'] if road_value['dir_data']['flow_delay_datas'].get(0) else ''
|
|
sheet1[f"M{middle_row}"] = road_value['dir_data']['item_data']['delay_time']
|
|
sheet1[f"N{middle_row}"] = road_value['dir_data']['flow_delay_datas'][1]['item_data']['delay_time'] if road_value['dir_data']['flow_delay_datas'].get(1) else ''
|
|
sheet1[f"O{middle_row}"] = road_value['dir_data']['flow_delay_datas'][0]['item_data']['delay_time'] if road_value['dir_data']['flow_delay_datas'].get(0) else ''
|
|
sheet1[f"P{middle_row}"] = road_value['dir_data']['item_data']['speed']
|
|
sheet1[f"Q{middle_row}"] = road_value['dir_data']['flow_delay_datas'][1]['item_data']['speed'] if road_value['dir_data']['flow_delay_datas'].get(1) else ''
|
|
sheet1[f"R{middle_row}"] = road_value['dir_data']['flow_delay_datas'][0]['item_data']['speed'] if road_value['dir_data']['flow_delay_datas'].get(0) else ''
|
|
sheet1[f"S{middle_row}"] = road_value['dir_data']['item_data']['move_speed']
|
|
sheet1[f"T{middle_row}"] = road_value['dir_data']['flow_delay_datas'][1]['item_data']['move_speed'] if road_value['dir_data']['flow_delay_datas'].get(1) else ''
|
|
sheet1[f"U{middle_row}"] = road_value['dir_data']['flow_delay_datas'][0]['item_data']['move_speed'] if road_value['dir_data']['flow_delay_datas'].get(0) else ''
|
|
sheet1[f"V{middle_row}"] = road_value['dir_data']['item_data']['imbalance_index']
|
|
|
|
sheet1[f"C{end_row}"] = "变化量"
|
|
sheet1[f"D{end_row}"] = road_value['dir_data']['diff_data']['service_level']
|
|
sheet1[f"E{end_row}"] = road_value['dir_data']['flow_delay_datas'][1]['diff_data']['service_level'] if road_value['dir_data']['flow_delay_datas'].get(1) else ''
|
|
sheet1[f"F{end_row}"] = road_value['dir_data']['flow_delay_datas'][0]['diff_data']['service_level'] if road_value['dir_data']['flow_delay_datas'].get(0) else ''
|
|
sheet1[f"G{end_row}"] = road_value['dir_data']['diff_data']['stop_times']
|
|
sheet1[f"H{end_row}"] = road_value['dir_data']['flow_delay_datas'][1]['diff_data']['stop_times'] if road_value['dir_data']['flow_delay_datas'].get(1) else ''
|
|
sheet1[f"I{end_row}"] = road_value['dir_data']['flow_delay_datas'][0]['diff_data']['stop_times'] if road_value['dir_data']['flow_delay_datas'].get(0) else ''
|
|
sheet1[f"J{end_row}"] = road_value['dir_data']['diff_data']['high_park_percent']
|
|
sheet1[f"K{end_row}"] = road_value['dir_data']['flow_delay_datas'][1]['diff_data']['high_park_percent'] if road_value['dir_data']['flow_delay_datas'].get(1) else ''
|
|
sheet1[f"L{end_row}"] = road_value['dir_data']['flow_delay_datas'][0]['diff_data']['high_park_percent'] if road_value['dir_data']['flow_delay_datas'].get(0) else ''
|
|
sheet1[f"M{end_row}"] = road_value['dir_data']['diff_data']['delay_time']
|
|
sheet1[f"N{end_row}"] = road_value['dir_data']['flow_delay_datas'][1]['diff_data']['delay_time'] if road_value['dir_data']['flow_delay_datas'].get(1) else ''
|
|
sheet1[f"O{end_row}"] = road_value['dir_data']['flow_delay_datas'][0]['diff_data']['delay_time'] if road_value['dir_data']['flow_delay_datas'].get(0) else ''
|
|
sheet1[f"P{end_row}"] = road_value['dir_data']['diff_data']['speed']
|
|
sheet1[f"Q{end_row}"] = road_value['dir_data']['flow_delay_datas'][1]['diff_data']['speed'] if road_value['dir_data']['flow_delay_datas'].get(1) else ''
|
|
sheet1[f"R{end_row}"] = road_value['dir_data']['flow_delay_datas'][0]['diff_data']['speed'] if road_value['dir_data']['flow_delay_datas'].get(0) else ''
|
|
sheet1[f"S{end_row}"] = road_value['dir_data']['diff_data']['move_speed']
|
|
sheet1[f"T{end_row}"] = road_value['dir_data']['flow_delay_datas'][1]['diff_data']['move_speed'] if road_value['dir_data']['flow_delay_datas'].get(1) else ''
|
|
sheet1[f"U{end_row}"] = road_value['dir_data']['flow_delay_datas'][0]['diff_data']['move_speed'] if road_value['dir_data']['flow_delay_datas'].get(0) else ''
|
|
sheet1[f"V{end_row}"] = road_value['dir_data']['diff_data']['imbalance_index']
|
|
|
|
center_alignment = Alignment(horizontal='center', vertical='center')
|
|
for row in sheet1.iter_rows(min_row=1, max_row=sheet1.max_row,
|
|
min_col=1, max_col=sheet1.max_column):
|
|
for cell in row:
|
|
if cell.value is not None:
|
|
cell.alignment = center_alignment
|
|
file_name = f"【{cross_name}】{compare_date_list[0]}-{compare_date_list[-1]} vs {date_list[0]}-{date_list[-1]} {time_range} 进口道及转向运行指标.xlsx"
|
|
file_stream = io.BytesIO()
|
|
wb.save(file_stream)
|
|
file_stream.seek(0) # 将指针移到文件开头
|
|
return send_file(
|
|
file_stream,
|
|
mimetype='application/vnd.openxmlformats-officedocument.spreadsheetml.sheet',
|
|
as_attachment=True,
|
|
download_name=file_name)
|
|
|
|
|
|
def query_wave_cross_survey_result(userid, crossid):
|
|
url = f"http://172.21.32.10:6060/api/get_cross_pngs?userid={userid}&cross_id={crossid}"
|
|
headers = {"Content-Type": "application/json"}
|
|
response = requests.get(url, headers=headers)
|
|
if response.status_code != 200 or response.json()['status'] != 0:
|
|
logging.error(f"{crossid}不存在绿波管家的实景勘察结果，查询失败")
|
|
return {}
|
|
wave_cross_survey_result = json.loads(response.text)['data']
|
|
return wave_cross_survey_result
|
|
|
|
|
|
def get_cross_png(image_list):
|
|
min_dist = 999999
|
|
res = None
|
|
for png_info in image_list:
|
|
if 40 < png_info['dist'] < min_dist:
|
|
min_dist = png_info['dist']
|
|
res = png_info['image_url']
|
|
return res
|