575 lines
25 KiB
Python
575 lines
25 KiB
Python
import os
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import random
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from typing import List
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from docx import Document
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from docx.enum.table import WD_ALIGN_VERTICAL
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from docx.enum.text import WD_ALIGN_PARAGRAPH
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from docx.oxml import OxmlElement
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from docx.shared import Pt, RGBColor, Mm, Cm, Inches
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from collections import defaultdict
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from docxtpl import DocxTemplate, InlineImage, Listing, R, RichText
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import jinja2
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# from tool.screen import *
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class PartDetail1_1:
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def __init__(self):
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self.time = '?'
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self.name = '?'
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self.num = '?'
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self.tp = '?'
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self.type = '?'
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self.stop_times = '?'
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self.result = '?'
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self.detail = ''
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self.devail_value = []
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class PartDetail:
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def __init__(self):
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self.item1 = '?'
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self.item2 = '?'
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self.item3 = '?'
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self.item4 = '?'
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self.item5 = '?'
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self.item6 = '?'
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self.item7 = '?'
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self.item8 = '-'
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self.item9 = '?'
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self.item10 = '?'
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self.item11 = '?'
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self.item12 = '?'
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self.item13 = '?'
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self.item14 = '?'
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self.item15 = '?'
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self.item16 = '?'
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self.item17 = '?'
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self.item18 = '?'
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self.item19 = '?'
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self.item20 = '?'
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self.item21 = '?'
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self.item22 = '?'
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self.detail = ''
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self.detail_value = []
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self.item_list = []
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self.table = []
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self.table_head = []
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self.head = []
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self.table1_head = []
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self.table2_head = []
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self.table1 = []
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self.table2 = []
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self.image = ''
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self.images = []
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self.in_detail = ''
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self.in_detail_value = []
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self.in_image = ImageDetail()
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self.out_detail = ''
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self.out_detail_value = []
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self.out_image = ImageDetail()
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self.result = []
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self.optimize = []
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self.reason = []
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self.cut_image = ImageDetail()
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class ImageDetail:
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def __init__(self):
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self.wave_id = ''
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self.wave_name = ''
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self.time_list = []
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self.tp = ''
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self.high = 0 #高频停车路口，0否，1是
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self.odi = 0 #odi，0否，1是
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self.turn_ts = 0 #分流转向比，1正向，2反向
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self.in_ts = 0 #汇入转向比，1正向，2反向
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self.week_or_day = 0, #1日，2周
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self.date_name = '' #日：2024-10-15，周：2024-48
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self.tp_start = ''
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self.tp_end = ''
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class DocDocumentContrastCtx:
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"""路口优化对比报告"""
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def __init__(self, nodeid):
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self.nodeid = nodeid
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self.doc = DocxTemplate(self.get_template_file_path())
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self.title = None
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self.cut_image = 0
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self.cut_image_userid = '15836903493'
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self.cut_image_role = 'manager'
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self.tpl_data = {
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# 总体概述
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'part1': self.tpl_paragraph_map['part1'],
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'part1_1': PartDetail(),
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'part1_key': 'part1',
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# 优化前现状分析
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'part2': self.tpl_paragraph_map['part2'],
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'part2_1': PartDetail(), # 用户传入
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'part2_2': PartDetail(), # 用户传入
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'part2_3': PartDetail(), # 用户传入
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'part2_key': 'part2',
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# 诊断问题
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'part3': self.tpl_paragraph_map['part3'],
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'part3_1': PartDetail(), # 用户传入
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'part3_key': 'part3',
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# 优化方案
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'part4': self.tpl_paragraph_map['part4'],
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'part4_1': PartDetail(),
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'part4_2': PartDetail(),
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'part4_key': 'part4',
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# 优化后效果对比
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'part5': self.tpl_paragraph_map['part5'],
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'part5_1': PartDetail(),
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'part5_key': 'part5',
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}
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self.tpl_paragraph = {
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'part1': {'visible': 0},
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'part2': {'visible': 0, 'part2_1': 0, 'part2_2': 0, 'part2_3': 0},
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'part3': {'visible': 0},
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'part4': {'visible': 0, 'part4_1': 0, 'part4_2': 0},
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'part5': {'visible': 0}
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}
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return
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def get_template_file_path(self):
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dir = os.path.dirname(os.path.abspath(__file__))
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return f"{dir}/compare_report.docx"
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def get_static_file_path(self):
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dir = os.path.dirname(os.path.abspath(__file__))
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return f"{dir}/../temp"
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tpl_paragraph_map = {
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'part1': '总体概述',
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'part2': '优化前现状分析',
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'part2_1': '基本信息',
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'part2_2': '延误分析',
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'part2_3': '流量占比及分流转向比分析',
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'part3': '诊断问题',
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'part4': '优化方案',
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'part4_1': '改善措施',
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'part4_2': '配时方案',
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'part5': '优化后效果对比',
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}
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def build_rich_text(self, detail, detail_value=None):
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item_rt = RichText('')
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item_details = detail.split('?')
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for k, v in enumerate(item_details):
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item_rt.add(f"{item_details[k]}")
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if k != len(item_details) - 1:
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item_rt.add(f"{detail_value[k]}", color="#FF0000", font=detail_value)
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continue
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return item_rt
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def build_rich_list(self, detail, detail_value):
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result = []
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item_details = detail.split('?')
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for k, v in enumerate(item_details):
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item_rt = RichText('')
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item_rt.add(f"{item_details[k]}", color="#000000", size=18)
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result.append(item_rt)
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if k != len(item_details) - 1:
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item_rt = RichText('')
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item_rt.add(f"{detail_value[k]}", color="#ff0000", size=18)
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result.append(item_rt)
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continue
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return result
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def build_rich_list_bg(self, detail, detail_value):
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result = []
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item_details = detail.split('?')
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for k, v in enumerate(item_details):
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item_rt = RichText('')
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item_rt.add(f"{item_details[k]}", color="#000000", size=18, style="background-color: #FFFF00;")
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result.append(item_rt)
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if k != len(item_details) - 1:
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item_rt = RichText('')
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item_rt.add(f"{detail_value[k]}", color="#ff0000", size=18, style="background-color: #FFFF00;")
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result.append(item_rt)
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continue
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return result
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def new_rich_text(self, text, color="#000000", font="仿宋_GB2312", size=None):
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rt = RichText('')
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if size:
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rt.add(f"{text}", color=color, font=font, size=size)
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if not size:
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rt.add(f"{text}", color=color, font=font)
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return rt
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def new_rich_text_list(self, texts):
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rt_list = []
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for item_text in texts:
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rt = RichText('')
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rt.add(f"{item_text}", color="#ff0000")
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rt_list.append(rt)
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return rt_list
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def build_template(self, file_name):
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context = {}
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screen_image_list = []
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context['title'] = self.title
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i = 0
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for part_key, value in self.tpl_data.items():
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match part_key:
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case 'part1':
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if self.tpl_paragraph[part_key]['visible'] == 0:
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continue
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i += 1
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table_sort = 0
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table_data = []
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context[part_key] = table_data
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context['part1_key'] = str(i)
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context['part1_name'] = value
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item_data = {
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'part_name': '',
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'part_n': 'part1_1',
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'detail': [],
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'table_data': [],
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}
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item_data['detail'].append(self.tpl_data['part1_1'].item1)
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item_data['detail'].append(self.tpl_data['part1_1'].item2)
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item_data['detail'].append(self.tpl_data['part1_1'].item3)
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item_data['detail'].append(self.tpl_data['part1_1'].item4)
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# item_data['detail'].append(self.new_rich_text(self.tpl_data['part1_1'].item5, "#FF0000"))
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# item_data['detail'].append(self.build_rich_text(self.tpl_data['part1_1'].detail, self.tpl_data['part1_1'].detail_value) if self.tpl_data['part1_1'].detail != '' else '')
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if len(self.tpl_data['part1_1'].table) > 0:
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for item_table in self.tpl_data['part1_1'].table:
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item_data['table_data'].append(self.build_rich_text(item_table.detail,
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item_table.detail_value) if item_table.detail != '' else '')
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table_data.append(item_data)
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# for item_image in item_part_detail.images:
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# image_sort += 1
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# if self.cut_image == 1:
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# screen_image_list.append(CutReportImgColumn(
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# wave_id=item_image.wave_id,
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# wave_name=item_image.wave_name,
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# time_list=item_image.time_list,
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# tp_name=item_image.tp,
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# high=item_image.high
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# ))
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# item_data_detail['images'].append({
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# 'sort': image_sort,
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# 'name': item_image.wave_name,
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# 'image': len(screen_image_list) - 1,
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# })
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# item_data['detail'].append(item_data_detail)
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# table_data.append(item_data)
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case 'part2':
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if self.tpl_paragraph[part_key]['visible'] == 0:
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continue
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i += 1
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table_sort = 0
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image_sort = 0
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table_data = []
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context[part_key] = table_data
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context['part2_key'] = str(i)
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context['part2_name'] = value
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if self.tpl_paragraph[part_key]['part2_1'] == 1:
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item_data = {
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'part_name': self.tpl_paragraph_map['part2_1'],
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'part_n': 'part2_1',
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'detail': [],
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}
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item_data['detail'].append(self.tpl_data['part2_1'].item1)
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item_data['detail'].append(self.tpl_data['part2_1'].item2)
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item_data['detail'].append(self.tpl_data['part2_1'].item3)
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item_data['detail'].append(self.tpl_data['part2_1'].item4)
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table_data.append(item_data)
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if self.tpl_paragraph[part_key]['part2_2'] == 1:
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item_data = {
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'part_name': self.tpl_paragraph_map['part2_2'],
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'part_n': 'part2_2',
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'detail': [],
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}
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for item in self.tpl_data['part2_2'].table:
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item_data['detail'].append(
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self.build_rich_text(item.detail, item.detail_value) if item.detail != '' else '')
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table_data.append(item_data)
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if self.tpl_paragraph[part_key]['part2_3'] == 1:
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item_data = {
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'part_name': self.tpl_paragraph_map['part2_3'],
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'part_n': 'part2_3',
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'detail': [],
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}
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for item in self.tpl_data['part2_3'].table:
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item_data['detail'].append(
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self.build_rich_text(item.detail, item.detail_value) if item.detail != '' else '')
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table_data.append(item_data)
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case 'part3':
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if self.tpl_paragraph[part_key]['visible'] == 0:
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continue
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i += 1
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table_data = []
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context[part_key] = table_data
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context['part3_key'] = str(i)
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context['part3_name'] = value
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item_loop = 0
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loop = 0
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item_data = {
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'part_name': "",
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'part_n': 'part3_1',
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'detail': [],
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}
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for item_data_list in self.tpl_data['part3_1'].table:
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item_data_detail = {
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'title': item_data_list.item1,
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'item_detail': []
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}
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for item_data_table in item_data_list.table:
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item_item_data_detail = {
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'title': item_data_table.item1,
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'item_detail': []
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}
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for item_data_table_value in item_data_table.table:
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item_item_data_detail['item_detail'].append(
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self.build_rich_text(item_data_table_value.detail,
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item_data_table_value.detail_value) if item_data_table_value.detail != '' else '')
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item_data_detail['item_detail'].append(item_item_data_detail)
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item_data['detail'].append(item_data_detail)
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table_data.append(item_data)
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case 'part4':
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if self.tpl_paragraph[part_key]['visible'] == 0:
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continue
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i += 1
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table_sort = 0
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table_sort += 1
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table_data = []
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context[part_key] = table_data
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context['part4_key'] = str(i)
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context['part4_name'] = value
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if self.tpl_paragraph[part_key]['part4_1'] == 1:
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item_data = {
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'part_name': self.tpl_paragraph_map['part4_1'],
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'part_n': 'part4_1',
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'data': [],
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}
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table_data.append(item_data)
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if self.tpl_paragraph[part_key]['part4_2'] == 1:
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item_data = {
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'part_name': self.tpl_paragraph_map['part4_2'],
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'part_n': 'part4_1',
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'data': [],
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}
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table_data.append(item_data)
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case 'part5':
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if self.tpl_paragraph[part_key]['visible'] == 0:
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continue
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i += 1
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table_sort = 0
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table_sort += 1
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table_data = []
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context[part_key] = table_data
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context['part5_key'] = str(i)
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context['part5_name'] = value
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item_data = {
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'part_name': "",
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'part_n': 'part5_1',
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'detail': '',
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'data': [],
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}
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item_data['detail'] = self.tpl_data['part5_1'].item1
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for item_table in self.tpl_data['part5_1'].table:
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item_date_detail = {
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'title': item_table.item1,
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'item_detail': []
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}
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for item_item_table in item_table.table:
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item_date_detail['item_detail'].append(self.build_rich_text(item_item_table.detail, item_item_table.detail_value) if item_item_table.detail != '' else '')
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item_data['data'].append(item_date_detail)
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table_data.append(item_data)
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if len(screen_image_list) > 0:
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cut_images, _ = cut_report_img(screen_image_list, self.cut_image_userid, self.cut_image_role)
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if context.get('part1'):
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for item_part in context['part1']:
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if item_part['part_n'] == 'part1_3':
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for item_detail in item_part['detail']:
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if len(item_detail['images']) > 0:
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for item_image in item_detail['images']:
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item_image['image'] = InlineImage(self.doc, cut_images[item_image['image']],
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width=Mm(146)) if cut_images[
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item_image['image']] else ''
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self.doc.render(context, autoescape=True)
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# # 渲染模板
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# for table in self.doc.tables:
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# for row in table.rows:
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# for cell in row.cells:
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# for para in cell.paragraphs:
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# set_font(para, para.text, '仿宋_GB2312', 30,font_color=(255, 0, 0), bg_color='FFFF00')
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# for para in self.doc.paragraphs:
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# set_font(para, para.text, '仿宋', 14)
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# self.doc.save(self.get_static_file_path() + f"/{file_name}.docx")
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# return f"/api/phase_template_download?nodeid={self.nodeid}&type=report&file_name={file_name}"
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def set_font(para, text_to_find, font_name='仿宋', font_size=12, font_color=(0, 0, 0), bg_color='FFFFFF'):
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for run in para.runs:
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run.text = text_to_find
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# if text_to_find in run.text:
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run.font.name = font_name
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run.font.size = Pt(font_size)
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run.font.color.rgb = RGBColor(*font_color)
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rPr = run._element.rPr
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if rPr is None:
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rPr = OxmlElement('w:rPr')
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run._element.append(rPr)
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rFonts = OxmlElement('w:rFonts')
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rFonts.set('{http://schemas.openxmlformats.org/wordprocessingml/2006/main}ascii', font_name)
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rFonts.set('{http://schemas.openxmlformats.org/wordprocessingml/2006/main}eastAsia', font_name)
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rFonts.set('{http://schemas.openxmlformats.org/wordprocessingml/2006/main}hAnsi', font_name)
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rPr.append(rFonts)
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shading_elm = OxmlElement('w:shd')
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shading_elm.set('{http://schemas.openxmlformats.org/wordprocessingml/2006/main}fill', bg_color)
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pPr = para._element.find('{http://schemas.openxmlformats.org/wordprocessingml/2006/main}pPr')
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if pPr is None:
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pPr = OxmlElement('w:pPr')
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para._element.insert(0, pPr)
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pPr.append(shading_elm)
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def doc_demo_contrast():
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doc1 = DocDocumentContrastCtx('9660') #获取模版对象
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doc1.tpl_paragraph['part1']['visible'] = 1
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doc1.tpl_paragraph['part2']['visible'] = 1
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doc1.tpl_paragraph['part2']['part2_1'] = 1
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doc1.tpl_paragraph['part2']['part2_2'] = 1
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doc1.tpl_paragraph['part2']['part2_3'] = 1
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doc1.tpl_paragraph['part3']['visible'] = 1
|
||
doc1.tpl_paragraph['part4']['visible'] = 1
|
||
doc1.tpl_paragraph['part4']['part4_1'] = 1
|
||
doc1.tpl_paragraph['part4']['part4_2'] = 1
|
||
doc1.tpl_paragraph['part5']['visible'] = 1
|
||
|
||
doc1.cut_image = 0
|
||
doc1.cut_image_userid = '15836903493'
|
||
doc1.cut_image_role = 'manager'
|
||
doc1.title = '清盛大道与龙江路交叉口'
|
||
|
||
# =========1总体概论===========
|
||
doc1.tpl_data['part1_1'].item1 = '2024年10月8日'
|
||
doc1.tpl_data['part1_1'].item2 = '2025年10月8日'
|
||
doc1.tpl_data['part1_1'].item3 = '清盛大道与龙江路交叉口'
|
||
doc1.tpl_data['part1_1'].item4 = '09:00-17:00'
|
||
|
||
detail1 = PartDetail()
|
||
detail1.detail = "路口服务水平由?级提升为?级，提升?个等级；"
|
||
detail1.detail_value = ['B', 'A', '1']
|
||
detail2 = PartDetail()
|
||
detail2.detail = "路口拥堵指数由?下降为?，减少?，优化率为?；"
|
||
detail2.detail_value = ['0.33', '0.56', '5.31', '3.21%']
|
||
detail3 = PartDetail()
|
||
detail3.detail = "路口停车次数由?下降为?，减少?，优化率为?；"
|
||
detail3.detail_value = ['2.331', '0.563', '2.31', '6.21%']
|
||
doc1.tpl_data['part1_1'].table = [detail1, detail2, detail3]
|
||
|
||
#==========2.1优化前现状分析==========
|
||
doc1.tpl_data['part2_1'].item1 = '清盛大道与龙江路交叉口'
|
||
doc1.tpl_data['part2_1'].item2 = '东城区'
|
||
doc1.tpl_data['part2_1'].item3 = '主干路与次干路相交的十字路口'
|
||
doc1.tpl_data['part2_1'].item4 = '海信'
|
||
|
||
#===========2.2延误分析============
|
||
detail1 = PartDetail()
|
||
detail1.detail = "根据各进口道车辆延误时间分析，服务水平较低的进口道有?个。东南进口的延误时间为?s，西北进口的延误时间为?s。"
|
||
detail1.detail_value = ['3', '5', '7']
|
||
detail2 = PartDetail()
|
||
detail2.detail = "根据各进口道拥堵指数分析，服务水平有?个。东南进口的延误时间为?s，西北进口的延误时间为?s。"
|
||
detail2.detail_value = ['2', '6', '9']
|
||
doc1.tpl_data['part2_2'].table = [detail1, detail2]
|
||
|
||
#===========2.3延误分析============
|
||
detail1 = PartDetail()
|
||
detail1.detail = "根据车辆分流转向比分析，西南进口道流量占比最大为?，东南进口道流量占比最小为?。路口的主要车流方向为东北直行和西南直行，东北进口道以直行车流为主，占比为?；西南进口道以直行车流为主，占比为?。"
|
||
detail1.detail_value = ['5%', '7%', '8%', '12%']
|
||
detail2 = PartDetail()
|
||
detail2.detail = "根据车辆分流转向比分析，西南进口道流量占比最大为?，东南进口道流量占比最小为?。路口的主要车流方向为东北直行和西南直行，东北进口道以直行车流为主，占比为?；西南进口道以直行车流为主，占比为?。"
|
||
detail2.detail_value = ['5%', '7%', '8%', '12%']
|
||
doc1.tpl_data['part2_3'].table = [detail1, detail2]
|
||
|
||
#==========3诊断问题============
|
||
detail1_1 = PartDetail()
|
||
detail1_1.item1 = '多次排队'
|
||
detail1_1_1 = PartDetail()
|
||
detail1_1_1.detail = "西北进口道直行车辆多次停车率过大（?），车辆需要多次排队才能通过。"
|
||
detail1_1_1.detail_value = ['16%']
|
||
detail1_1_2 = PartDetail()
|
||
detail1_1_2.detail = "东北进口道直行车辆多次停车率过大（?），车辆需要多次排队才能通过。"
|
||
detail1_1_2.detail_value = ['20%']
|
||
detail1_1.table = [detail1_1_1, detail1_1_2]
|
||
detail1_2 = PartDetail()
|
||
detail1_2.item1 = '停车较多'
|
||
detail1_2_1 = PartDetail()
|
||
detail1_2_1.detail = "路口停车次数较高（2.1），整体通行效率不高。"
|
||
detail1_2_1.detail_value = ['2.1']
|
||
detail1_2.table = [detail1_2_1]
|
||
detail1 = PartDetail()
|
||
detail1.item1 = '运行效果'
|
||
detail1.table = [detail1_1, detail1_2]
|
||
|
||
detail2_1 = PartDetail()
|
||
detail2_1.item1 = '多次排队1'
|
||
detail2_1_1 = PartDetail()
|
||
detail2_1_1.detail = "西北进口道直行车辆多次停车率过大（?），车辆需要多次排队才能通过。"
|
||
detail2_1_1.detail_value = ['16%']
|
||
detail2_1_2 = PartDetail()
|
||
detail2_1_2.detail = "东北进口道直行车辆多次停车率过大（?），车辆需要多次排队才能通过。"
|
||
detail2_1_2.detail_value = ['20%']
|
||
detail2_1.table = [detail2_1_1, detail2_1_2]
|
||
detail2_2 = PartDetail()
|
||
detail2_2.item1 = '停车较多2'
|
||
detail2_2_1 = PartDetail()
|
||
detail2_2_1.detail = "路口停车次数较高（?），整体通行效率不高。"
|
||
detail2_2_1.detail_value = ['2.1']
|
||
detail2_2.table = [detail2_2_1]
|
||
detail2 = PartDetail()
|
||
detail2.item1 = '均衡调控'
|
||
detail2.table = [detail1_1, detail1_2]
|
||
|
||
doc1.tpl_data['part3_1'].table = [detail1, detail2]
|
||
|
||
#==========4优化方案=============
|
||
|
||
#==========5优化后效果对比==========
|
||
detail5_1_1 = PartDetail()
|
||
detail5_1_1.detail = '路口服务水平由?级提升为?级，提升?个等级；'
|
||
detail5_1_1.detail_value = ['A', 'B', '6']
|
||
detail5_1_2 = PartDetail()
|
||
detail5_1_2.detail = '路口拥堵指数由?下降为?，减少?，优化率为?；'
|
||
detail5_1_2.detail_value = ['3', '2', '1','5%']
|
||
detail5_1_3 = PartDetail()
|
||
detail5_1_3.detail = '路口停车次数由?下降为?，减少?，优化率为?；'
|
||
detail5_1_3.detail_value = ['3.13', '4.1334' , '3.13', '3.13%']
|
||
detail5_1 = PartDetail()
|
||
detail5_1.item1 = '路口方面'
|
||
detail5_1.table = [detail5_1_1, detail5_1_2,detail5_1_3]
|
||
|
||
detail5_2_1 = PartDetail()
|
||
detail5_2_1.detail = '路口服务水平由?级提升为?级，提升?个等级；'
|
||
detail5_2_1.detail_value = ['A', 'B', '6']
|
||
detail5_2_2 = PartDetail()
|
||
detail5_2_2.detail = '路口拥堵指数由?下降为?，减少?，优化率为?；'
|
||
detail5_2_2.detail_value = ['3', '2', '1','5%']
|
||
detail5_2_3 = PartDetail()
|
||
detail5_2_3.detail = '路口停车次数由?下降为?，减少?，优化率为?；'
|
||
detail5_2_3.detail_value = ['3.13', '4.1334' , '3.13', '3.13%']
|
||
detail5_2 = PartDetail()
|
||
detail5_2.item1 = 'X进口方面'
|
||
detail5_2.table = [detail5_2_1, detail5_2_2,detail5_2_3]
|
||
|
||
doc1.tpl_data['part5_1'].item1 = '方案下发后通过平台对路口优化效果进行对比，优化后路口及进口道效果提升较明显的指标如下：'
|
||
doc1.tpl_data['part5_1'].table = [detail5_1, detail5_2]
|
||
return doc1.build_template("对比报告") # 生成word
|
||
|
||
|
||
if __name__ == '__main__':
|
||
doc_demo_contrast()
|