183 lines
7.3 KiB
Python
183 lines
7.3 KiB
Python
from content_tools import add_picture_to_table, search_and_replace,add_picture
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from get_pictures import resize_and_reduce_quality
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from document_tools import add_table_to_document,add_documents
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from docx import Document
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from typing import List
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def fill_tables(Y_table_list, row, col, Y_Table_num, Y):
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"""根据前端返回json块填写表格list，并实时跟进已填写表格数量
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目前只支持固定的缺陷图的填写
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Args:
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Y_table_list (list): 前端返回的json块
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row (int): 表格行数
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col (int): 表格列数
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Y_Table_num: json块中有几个表格
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Xu_Hao: 是第几个json块
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Y: 其他参数
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Return:
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Y1_TABLES: 三维，表和对应元素
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table_index_to_images: 字典，表索引到图片路径列表的映射
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Xu_Hao：到达第几个表了
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"""
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table_index_to_images = {}
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Y_TABLES = [[["" for _ in range(row)] for _ in range(col)] for _ in range(Y_Table_num)]
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# 处理前端返回数据
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for l, table_dict in enumerate(Y_table_list):
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if table_dict:
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Y_TABLES[l][1][0] = Y
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Y_TABLES[l][1][1] = table_dict["QueXianLeiXing"]
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Y_TABLES[l][1][2] = table_dict["QueXianWeiZhi"]
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Y_TABLES[l][1][3] = table_dict["QueXianChiCun"]
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Y_TABLES[l][3][0] = table_dict["WeiZongDengJi"]
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Y_TABLES[l][3][1] = table_dict["visibility"]
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Y_TABLES[l][3][2] = table_dict["urgency"]
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Y_TABLES[l][3][3] = table_dict["repair_suggestion"]
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# 获取图片路径
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image_path = table_dict['Tupian_Dir']
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if image_path:
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# 确保路径是字符串形式
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if isinstance(image_path, list):
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table_index_to_images[l] = image_path.copy()
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else:
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table_index_to_images[l] = [str(image_path)]
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return Y_TABLES, table_index_to_images
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async def process_images_table(data_dict, output_dir, start_i, JIANCHA_NEIRONG_PICTURES_TABLE, key_words = None):
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"""添加对应表格且填写图片名与插入图片
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Args:
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data_dict (dict): dict内容，图片:图片路径
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output_dir (str): 输出路径
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start_i (int): 总表格数量
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JIANCHA_NEIRONG_PICTURES_TABLE (str): 二维表模板路径
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Returns:
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int: 最后使用的表格序号
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"""
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items = list(data_dict.items())
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picture_num = len(items)
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line_index = 0
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picture_index = 0
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i = start_i
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for content_row in range(((picture_num + 2) // 3) * 2):
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if content_row % 2 == 1:
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# 文字行（从 items 取图片名）
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JIANCHA_NEIRONG_TEXT = [["" for _ in range(3)] for _ in range(1)] # 1行3列
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for k in range(1): # 只有1行
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for l in range(3):
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if line_index >= picture_num:
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break
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JIANCHA_NEIRONG_TEXT[k][l] = items[line_index][0] # 图片名
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print(f'当前为文字表格，在({k},{l})位置插入文字: {items[line_index][0]}')
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line_index += 1
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print(f"当前待插入表格: {JIANCHA_NEIRONG_TEXT}")
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print(f"当前表格序号为 {i}")
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output_doc, message = await add_table_to_document(
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output_dir, JIANCHA_NEIRONG_PICTURES_TABLE, 1, 3, i, JIANCHA_NEIRONG_TEXT, False, None, key_words
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)
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i += 1
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else:
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# 图片行（从 items 取图片路径）
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print(f"当前表格序号为 {i}")
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output_doc, message = await add_table_to_document(
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output_dir, JIANCHA_NEIRONG_PICTURES_TABLE, 1, 3, i, None, False
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)
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for k in range(3):
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if picture_index < picture_num:
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pic_path = items[picture_index][1] # 图片路径
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print(f"当前为图片表格，在(0,{k})位置插入图片: {pic_path}")
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print(add_picture_to_table(output_doc, output_dir, 0, k, pic_path, i, 1.8898))
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picture_index += 1
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i += 1
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print(message)
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return i # 返回最后使用的表格序号
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async def add_dynamic_table(output_doc, output_dir, table_num, TABLES, JIANCHA_XIANGQING_DIR, PICTURES, row, col, i, FLAG, xuhao):
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"""创建动态表
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Args:
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output_doc (Document): 文档对象
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output_dir (str): 输出目录
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table_num (int): 表格序号
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TABLES (list): 表格数据
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JIANCHA_XIANGQING_DIR (str): 检查详情表目录
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PICTURES (dict): 图片数据字典，键为表索引，值为图片路径列表
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row (int): 行数
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col (int): 列数
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i (int): 表格序号
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FLAG: 其他标志
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Returns:
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tuple: (i, table_num) 更新后的表格序号和表格数量
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"""
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for table_idx, Table in enumerate(TABLES):
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print(Table)
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output_doc, message = await add_table_to_document(output_dir, JIANCHA_XIANGQING_DIR, row, col, i, Table, FLAG)
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print(message)
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# 获取当前表格对应的图片
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current_table_pictures = PICTURES.get(table_idx, [])
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print(f"开始处理图片列表: {current_table_pictures}")
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for picturedir in current_table_pictures:
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try:
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print(f"添加 {picturedir} {type(picturedir)}到表格{table_idx}")
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resize_and_reduce_quality(picturedir, picturedir)
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add_picture_to_table(output_doc, output_dir, 4, 0, picturedir, i, 4.7232)
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except Exception as e:
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print(f"添加图片失败:{e}")
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print(await search_and_replace(output_dir, 'tupian_xuhao', f'{xuhao}'))
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table_num += 1
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i += 1
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xuhao += 1
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return i, table_num, xuhao
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def get_year_month(date):
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"""根据格式化date字符串获取年月 'date': '二〇二一年十二月十日 9:00'
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Args: date (str): 日期字符串
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Returns: 年月字符串 '二〇二一年十二月'
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"""
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unit_map = {'1' : '一', '2' : '二', '3' : '三', '4' : '四', '5' : '五', '6' : '六', '7' : '七', '8' : '八', '9' : '九', '0' : '〇'}
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unit_map_month = {1 : '一', 2 : '二', 3 : '三', 4 : '四', 5 : '五', 6 : '六', 7 : '七', 8 : '八', 9 : '九', 10 : '十', 11 : '十一', 12 : '十二'}
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year = date.split('年')[0]
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month = date.split('年')[1].split('月')[0]
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year = ''.join([unit_map[i] for i in year])
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month = unit_map_month[int(month)]
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return f"{year}年{month}月"
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def merge_info(frontend_info, default_info):
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"""
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合并前端传入的 info 和默认 info
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规则：如果前端传入的值为空（None 或空字符串），则使用默认值
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Args:
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frontend_info: 前端传入的字典
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default_info: 默认的完整字典
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Returns:
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合并后的完整字典
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"""
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if not isinstance(frontend_info, dict) or frontend_info is None:
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return default_info.copy()
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merged_info = {}
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for key, default_value in default_info.items():
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# 获取前端传入的值
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frontend_value = frontend_info.get(key)
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# 判断前端值是否为空（None 或空字符串）
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if frontend_value is None or frontend_value == "":
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merged_info[key] = default_value
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else:
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merged_info[key] = frontend_value
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return merged_info
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