feat 🐛:1

app/api/router.py

@@ -136,7 +136,7 @@ async def upload_file(files: List[UploadFile] = File(...)):
     summary="生成日报",
     description="生成日报,将生成的简报和日报文档转成html返回前端",
 )
-async def generate_report(background_tasks: BackgroundTasks, time_type: int = 0):
+async def generate_report(background_tasks: BackgroundTasks, time_type: int = 0,over_load_value: int =0):
     global data_dict
     try:
         logger.info("开始生成日报")
@@ -148,8 +148,10 @@ async def generate_report(background_tasks: BackgroundTasks, time_type: int = 0)
         # 存储文件的路径
         fold_path = str(Path(UPLOAD_DIR).resolve()).replace("\\", "/")
 
-        data_dict = deal_docx(fold_path, DOWNLOAD_DIR,time_type=time_type)
-
+        data_dict = deal_docx(fold_path, DOWNLOAD_DIR,time_type=time_type,over_load_value=over_load_value)
+        if "status" in data_dict:
+            if not data_dict["status"]:
+               return data_dict
         # 判断是否生成日报成功，如果成功，则转成html返回前端
         report_sim_html = docx2html(data_dict["daily_repo_simple"])
         report_html = docx2html(data_dict["daily_report"])
@@ -158,7 +160,7 @@ async def generate_report(background_tasks: BackgroundTasks, time_type: int = 0)
 
         # 将数据写入数据库
         save_word_document(data_dict)
-
+        logger.info("日报生成返回成果")
         # 返回 JSON 包含 HTML 内容
         return JSONResponse(
             content={
@@ -181,7 +183,7 @@ async def generate_report(background_tasks: BackgroundTasks, time_type: int = 0)
     # 将原始数据保存到数据库
     finally:
         try:
-            if os.listdir(UPLOAD_DIR):
+            if os.listdir(UPLOAD_DIR) and "save_folder" in data_dict:
                 raw_data_path = move_raw_files(
                     UPLOAD_DIR, DOWNLOAD_RAW_DIR, data_dict["save_folder"]
                 )

app/tools/count_data.py

@@ -1,5 +1,8 @@
 import re
 
+from numpy.ma.core import floor
+
+
 # text = "6月15日17时至6月16日17时期间，全网累计停电132.59万户次（5分钟以内短时停电用户23.48万户次），环比减少68.28万户次，其中，重要用户停电0户次，用户停电情况总体平稳。"
 
 
@@ -12,14 +15,16 @@ def count_change_outage(text):
     total_outage = float(matches[0])  # 累计停电用户数
     short_term_outage = float(matches[1])  # 短时停电用户数
     change_outage = float(matches[2])  # 环比变化用户数
-
+    total_yesterday =0
     # 判断是增加还是减少
     if "减少" in text:
         result = change_outage / (total_outage + change_outage)
         type = "减少"
+        total_yesterday = total_outage + change_outage
     elif "增加" in text:
         result = change_outage / (total_outage - change_outage)
         type = "增加"
+        total_yesterday = total_outage - change_outage
     else:
         result = None  # 或者其他默认值
 
@@ -42,7 +47,7 @@ def count_change_outage(text):
     else:
         important_stop_outage = "0"
         print("未找到重要用户停电户次")
-
+    total_yesterday_formatted = round(total_yesterday, 2)
     return (
         total_outage,
         short_term_outage,
@@ -51,6 +56,7 @@ def count_change_outage(text):
         short_percentage,
         important_stop_outage,
         type,
+        total_yesterday_formatted
     )
 
 

app/tools/deal_excels.py

@@ -148,6 +148,78 @@ def deal_excel(start_time, end_time, file_path):
     except Exception as e:
         logger.exception(f"对数据按照’省‘进行分类汇总{e}")
 
+def deal_excel_over_load(file_path):
+    try:
+        logger.info("开始分析配变过载excel")
+
+        # 获取所有sheet页名称
+        excel_file = pd.ExcelFile(file_path)
+        sheet_names = excel_file.sheet_names
+
+        pattern_sheet = r"重过载明细"
+
+        # 使用正则表达式进行模糊匹配（不区分大小写）
+        matched_sheets = [
+            sheet
+            for sheet in sheet_names
+            if re.fullmatch(pattern_sheet, sheet, re.IGNORECASE)
+        ]
+
+        if len(matched_sheets) == 1:
+            final_sheet = matched_sheets[0]
+        else:
+            logger.error("没有找到匹配的sheet页")
+            return None
+
+        df = pd.read_excel(
+            file_path,
+            sheet_name=final_sheet,
+        )
+        values_to_include = ['严重过载', '一般过载']
+        filtered_df = df[df['重过载情况'].isin(values_to_include)]
+        grouped_df = filtered_df.groupby(['分子公司', '地市局']).size().reset_index(name='记录数')
+        sorted_df = grouped_df.sort_values(by='记录数', ascending=False)
+        #top_5_results = sorted_df.head(5)
+        # ---------------------------------------去点中间或两侧空格---------------------------------
+        sorted_df["分子公司"] = sorted_df["分子公司"].str.strip().str.replace(r"\s+", "", regex=True)
+        sorted_df["地市局"] = sorted_df["地市局"].str.strip().str.replace(r"\s+", "", regex=True)
+        # ---------------------------------------去点中间或两侧空格---------------------------------
+        sorted_df['公司地市'] = sorted_df['分子公司'] + sorted_df['地市局']
+        #top_5_results.loc[:, '公司地市'] = top_5_results['分子公司'] + top_5_results['地市局']
+        # 最终选择需要返回的列：'公司_地市' 和 '记录数'
+        final_output = sorted_df[['公司地市', '记录数']].values.tolist()
+        overload_top5_list = []
+        if final_output :
+            need_final_output = (
+                final_output[0:5]
+                if len(final_output) > 5
+                else final_output
+            )
+            other_final_output = (
+                final_output[5:] if len(final_output) > 5 else []
+            )
+            other_count = 0
+            if (
+                    len(other_final_output) > 0
+                    and final_output[4][1] == final_output[5][1]
+            ):
+                for i in range(len(other_final_output)):
+                    if other_final_output[i][1] == final_output[4][1]:
+                        other_count += 1
+            overload_value = need_final_output[len(need_final_output) - 1][1]
+            count = 0
+            for i in range(len(need_final_output)):
+                current_final_output = need_final_output[i][1]
+                if current_final_output == overload_value and other_count >0:
+                    count += 1
+                else:
+                    overload_top5_list.append(need_final_output[i])
+            if count >0 :
+                overload_top5_list.append([f"其他{count + other_count}家单位",overload_value])
+        return overload_top5_list
+    except Exception as e:
+        logger.exception(f"对数据按照’省‘进行分类汇总{e}")
+
 
 # 判断地市top5环比方法
 def top5_dod_analysis(top, district_stat_before):

app/tools/draw_picture.py

@@ -43,7 +43,7 @@ def plot_electricity_comparison(year, month, day, data):
     valid_data = {}
     for title, values in data.items():
         if "昨天" in values and "今天" in values:
-            if values["昨天"] is not None and values["今天"] is not None:
+            if values["昨天"] is not None and values["今天"] is not None and values["昨天"]!="" and values["今天"]!="":
                 valid_data[title] = values
 
     # 如果没有有效的数据，返回 None 或其他指示

app/tools/final_doc.py

@@ -8,12 +8,12 @@ from fastapi import HTTPException
 from fastapi.responses import JSONResponse
 from docx import Document
 from pathlib import Path
-from datetime import datetime
+from datetime import datetime, date
 from docx.shared import Inches, Pt
-from app.tools.deal_excels import deal_excel, top5_dod_analysis, transform_data
+from app.tools.deal_excels import deal_excel, top5_dod_analysis, transform_data, deal_excel_over_load
 from app.tools.get_time import get_time
 from app.tools.replace_text import replace_text_in_docx
-from app.tools.replace_table import copy_table, copy_sta_table, copy_table_no_align
+from app.tools.replace_table import copy_table, copy_sta_table
 from app.tools.style import table_style
 from app.tools.effective_date import get_next_day
 from app.tools.find_before_word import extract_overload_info_from_previous_day
@@ -24,7 +24,7 @@ from app.tools.draw_picture import plot_electricity_comparison
 logger = logging.getLogger(__name__)
 
 
-def deal_docx(folder_path, save_path=None, time_type=0):
+def deal_docx(folder_path, save_path=None, time_type=0,over_load_value=0):
     """
     :param folder_path: 文件上传后保存的路径
     :param save_path: 最终生成的日报/简报的保存路径
@@ -61,8 +61,12 @@ def deal_docx(folder_path, save_path=None, time_type=0):
                 file_path_dict["power_off_excel"] = folder_path + "/" + file
                 continue
 
+            if file.endswith(".xlsx") and "停电报表配变明细" in file:
+                file_path_dict["over_load_excel"] = folder_path + "/" + file
+                continue
+
         # 如果传入的文件不对，抛出异常
-        if len(file_path_dict) != 3:
+        if len(file_path_dict) != 4:
             logger.exception("文件格式错误")
             raise HTTPException(
                 status_code=400,
@@ -104,13 +108,29 @@ def deal_docx(folder_path, save_path=None, time_type=0):
                 )
                 continue
 
+            if "first_point_para2" not in doc_dict:
+                if re.match(r".*抢修工单.*", para.text):
+                    # print(para.text)
+                    doc_dict["first_point_para2"] = re.sub(
+                        r"[，,]整体抢修工作态势正常。+$", "", para.text
+                    )
+                    continue
+
             # 第二点过载台数
+            if re.search(r"过载(\d+)(?:[条台]|\s*)?", para.text):
+                doc_dict["over_load"] = (
+                    re.search(r"过载(\d+)(?:[条台]|\s*)?", para.text).group().replace("过载", "")
+                ).replace("条", "").replace("台", "")
+                # print(doc_dict['over_load'])
+                continue
+            """
             if re.search(r"过载\d+台", para.text):
                 doc_dict["over_load"] = (
                     re.search(r"过载\d+台", para.text).group().replace("过载", "")
                 ).replace("台", "")
                 # print(doc_dict['over_load'])
                 continue
+            """
 
         # 拿到舆情的段落
         paragraphs_sentiment = doc_sentiment.paragraphs
@@ -137,11 +157,12 @@ def deal_docx(folder_path, save_path=None, time_type=0):
         table1 = tables[0]
 
 
-        # 表2配变过载监测汇总表
-        table2 = tables[1]
+        # 表2配变过载监测汇总表——配变过载集成到了一张表table1
+        #table2 = tables[1]
 
-        # 表3停电用户前五供电局
-        table3 = tables[2]
+        # 表3停电用户前五供电局——停电前五移动到了第二张表
+        table3 = tables[1]
+        #table3 = tables[2]
 
         # 新增表4 95598供电类投诉前五供电局统计表
         # table4 = doc_poweroff.add_table(6, 5)
@@ -251,7 +272,7 @@ def deal_docx(folder_path, save_path=None, time_type=0):
         count = 0
         for i in range(len(need_district_statistics)):
             current_poweroff_value = need_district_statistics[i][1]
-            if current_poweroff_value == poweroff_value:
+            if current_poweroff_value == poweroff_value and other_count >0:
                 count += 1
             else:
                 top5_name_list.append(need_district_statistics[i][0])
@@ -259,6 +280,11 @@ def deal_docx(folder_path, save_path=None, time_type=0):
                 top_dod_dict[need_district_statistics[i][0]] = top5_dod_analysis(
                     need_district_statistics[i], district_stat_before
                 )
+        if count >0 :
+            top5_name_list.append(f"其他{count + other_count}家单位")
+            top5_poweroff_list.append(poweroff_value)
+            top_dod_dict["其他单位"] = "—"
+        """
         if count == 1 and other_count==0:
             top5_name_list.append(
                 need_district_statistics[len(need_district_statistics) - 1][0]
@@ -276,7 +302,7 @@ def deal_docx(folder_path, save_path=None, time_type=0):
             top5_name_list.append(f"其他{count + other_count}家单位")
             top5_poweroff_list.append(poweroff_value)
             top_dod_dict["其他单位"] = "—"
-
+        """
         # old_version
         """
         if len(district_statistics) >= 5:
@@ -348,10 +374,10 @@ def deal_docx(folder_path, save_path=None, time_type=0):
             standardize_date = (
                 f"{month_before}月{day_before}日17时至{month}月{day}日17时期间，"
             )
-
         elif time_type == 1:
             # -------------------------20250429更新，修改开始和结束时间---------------------------------
-            standardize_date = f"{year}年{month}月{day}日0时至24时期间，"
+            #standardize_date = f"{year}年{month}月{day}日0时至24时期间，"
+            standardize_date = f"{month}月{day}日0时至24时期间，"
             # standardize_date = ''
             # -------------------------20250429更新，修改开始和结束时间---------------------------------
 
@@ -408,6 +434,7 @@ def deal_docx(folder_path, save_path=None, time_type=0):
             short_precentage,
             important_stop_outage,
             type,
+            total_yesterday
         ) = count_change_outage(doc_dict["have_important"])
         # 获取舆情数字信息
         today_sentiment, type_sentiment, yesterday_sentiment, result_sentiment = (
@@ -424,11 +451,22 @@ def deal_docx(folder_path, save_path=None, time_type=0):
 
         current_doc_name = f"南方电网公司停电抢修投诉服务舆情管控三工单联动监测日报{year}{int(month):02d}{int(day):02d}.docx"
 
+        if "over_load" not in doc_dict:
+            raise Exception("过载数据不符合标准未解析，请查看文档")
         doc_dict_over_load = doc_dict["over_load"]
         over_load_before = extract_overload_info_from_previous_day(
             current_word=current_doc_name
         )
-
+        # 2025-07-21
+        if not over_load_before :
+            if over_load_value>0:
+               over_load_before = over_load_value
+            else:
+                print("缺少昨日配变过载数量,需要手动填写")
+                return {
+                    "status":False,
+                    "error_message":"缺少昨日配变过载数量,需要手动填写"
+                }
         if over_load_before:
             # 将字符串转换为浮点数
             over_load_before = float(over_load_before)
@@ -483,10 +521,9 @@ def deal_docx(folder_path, save_path=None, time_type=0):
 
         # 替换模板字符串
         replace_text_in_docx(electricity_daily_simple, replacements_simple)
-
         datas = {
             "停电用户\n（万户）": {
-                "昨天": total_outage + change_outage,
+                "昨天": total_yesterday,
                 "今天": total_outage,
             },
             "过载配变\n（台）": {"昨天": over_load_before, "今天": doc_dict_over_load},
@@ -503,12 +540,14 @@ def deal_docx(folder_path, save_path=None, time_type=0):
         # 将数据转换为DataFrame
         df = pd.DataFrame(datas)
         # 遍历 datas 中的每个值，将 None 或 空字符串替换为 0
+        """
         for key, value in datas.items():
             for sub_key, sub_value in value.items():
                 if sub_value is None or sub_value == "":
                     datas[key][sub_key] = None  # 将不存在或为空的值设置为 0
                 else:
                     datas[key][sub_key] = int(sub_value)  # 确保值是整数
+        """
 
         # 生成柱状图
         img_path = plot_electricity_comparison(year, month, day, datas)
@@ -577,7 +616,8 @@ def deal_docx(folder_path, save_path=None, time_type=0):
 
         # 将数据组装相关的时间内容
         doc_dict["first_point_para1"] = standardize_date + doc_dict["first_point_para1"]
-        doc_dict["sentiment_para"] = standardize_date + doc_dict["sentiment_para"]
+        #doc_dict["sentiment_para"] = standardize_date + doc_dict["sentiment_para"]
+        doc_dict["sentiment_para"] =  doc_dict["sentiment_para"]
 
         # {{standardize_date}}全网收到{{complain_num}}条供电类投诉，环比{{complain_dod}}条；
         complain_text = (
@@ -588,6 +628,7 @@ def deal_docx(folder_path, save_path=None, time_type=0):
         replacements = {}
         if time_type == 0:
             # 组装替换的文本
+            day_cycle = getDayCycle(year,month,day)
             replacements = {
                 "{{year}}": year,
                 "{{month}}": month,
@@ -601,10 +642,12 @@ def deal_docx(folder_path, save_path=None, time_type=0):
                 "{{sentiment}}": doc_dict["sentiment_para"],
                 "{{sentiment_trend}}": doc_dict["sentiment_trend"],
                 "{{exception}}": electricity_exception,
+                "{{period}}": str(day_cycle),
             }
 
         elif time_type == 1:
             # 组装替换的文本
+            day_cycle = getDayCycle(year_now,month_now,day_now)
             replacements = {
                 "{{year}}": str(year_now),
                 "{{month}}": str(month_now),
@@ -618,6 +661,7 @@ def deal_docx(folder_path, save_path=None, time_type=0):
                 "{{sentiment}}": doc_dict["sentiment_para"],
                 "{{sentiment_trend}}": doc_dict["sentiment_trend"],
                 "{{exception}}": electricity_exception,
+                "{{period}}": str(day_cycle),
             }
 
         # 组装日报
@@ -678,21 +722,20 @@ def deal_docx(folder_path, save_path=None, time_type=0):
         # 复制表1的数据
         logger.info("将配变过载写入表0，第二行开始，第9列开始")
         # 定义要查看的区域范围
-        start_row2 = 1  # 起始行索引（从0开始）
-        end_row2 = 7  # 结束行索引（不包括）
-        start_col2 = 2  # 起始列索引（从0开始）
-        end_col2 = 4  # 结束列索引（不包括）
-        target_row=1
-        target_col=7
-        copy_table_no_align(
-            table2,
+        start_row2 = 2  # 起始行索引（从0开始）
+        end_row2 = 8  # 结束行索引（不包括）
+        start_col2 = 9  # 起始列索引（从0开始）
+        end_col2 = 11  # 结束列索引（不包括）
+        #target_row=1
+        #target_col=7
+        copy_table(
+            table1,
             electricity_daily.tables[0],
             start_row2,
             end_row2,
             start_col2,
             end_col2,
-            target_row,
-            target_col
+            0
         )
         """
         copy_table(
@@ -748,6 +791,21 @@ def deal_docx(folder_path, save_path=None, time_type=0):
                 is_dynamics=False
             )
 
+        logger.info("将配变重过载的数据插入表格5")
+        # 统计配变过载前五的数据
+        top_5_results = deal_excel_over_load(file_path_dict["over_load_excel"])
+        # 表4中的插入位置
+        start_tb4_row = 2
+        start_tb4_col = 8
+        if  top_5_results:
+            #data = top_5_results.values
+            copy_sta_table(
+                electricity_daily.tables[1],
+                top_5_results,
+                start_tb4_row,
+                start_tb4_col,
+            )
+
         # copy_sta_table(electricity_daily.tables[3], top5_list, start_tb4_row, start_tb4_col)
 
         # 将表格中的字体中文设置成仿宋，英文数字设置成新罗马，均为11号大小
@@ -821,6 +879,17 @@ def delete_old_file(file):
         logger.info(f"删除旧文件失败：{e}")
 
 
+def getDayCycle(year_str,month_str,day_str):
+    year = int(year_str)
+    month = int(month_str)
+    day = int(day_str)
+    # 创建日期对象
+    d = date(year, month, day)
+    # 获取是今年的第几天
+    day_of_year = d.timetuple().tm_yday-1
+    print(f"{year}年{month}月{day}日是今年的第 {day_of_year} 天。")
+    return day_of_year
+
 # if __name__ == '__main__':
 #     folder_path = 'E:/work_data/work/三工单日报/20250310/20250310'
 #

app/tools/find_before_word.py

@@ -64,6 +64,13 @@ def extract_overload_info_from_previous_day(
             if file_name == previous_word_name:
                 previous_word_path = os.path.join(previous_folder_path, file_name)
                 break
+            pattern = r"(日报)(\d{4})(\d{2})"
+            match = re.search(pattern, previous_word_name)
+            original_year_part = match.group(2)
+            new_filename = previous_word_name.replace(original_year_part, "-", 1)
+            if file_name == new_filename:
+                previous_word_path = os.path.join(previous_folder_path, file_name)
+                break
 
         if not previous_word_path:
             logger.error(f"前一天的 Word 文档不存在：{previous_word_name}")
@@ -75,12 +82,13 @@ def extract_overload_info_from_previous_day(
         # 提取过载台数信息
         overload_info = None
         for para in doc.paragraphs:
-            if re.search(r"过载\d+台", para.text):
+            if re.search(r"过载(\d+)(?:[条台]|\s*)?", para.text):
                 overload_info = (
-                    re.search(r"过载\d+台", para.text)
+                    re.search(r"过载(\d+)(?:[条台]|\s*)?", para.text)
                     .group()
                     .replace("过载", "")
                     .replace("台", "")
+                    .replace("条", "")
                 )
                 break
 

app/tools/replace_text.py

@@ -1,4 +1,5 @@
 import logging
+from multiprocessing.spawn import old_main_modules
 
 from docx.oxml.ns import qn
 from docx.shared import Pt
@@ -8,11 +9,57 @@ logger = logging.getLogger(__name__)
 
 #excluded_list = ['{{year}}','{{month}}', '{{day}}']
 # 将文档中的字符串变量替换成提取内容
+"""
+def replace_text_in_paragraph(paragraph, old_text, new_text):
+    try:
+        runs = list(paragraph.runs)          # 先复制一份，避免边遍历边修改
+        for run in runs:
+            if old_text in run.text:
+                # 1. 拆分 run：把 old_text 前后拆开
+                before, old, after = run.text.partition(old_text)
+                run.clear()
+                paragraph.add_run(before)
+                target_run = paragraph.add_run(new_text)
+                paragraph.add_run(after)
+                # 3. 仅给目标 run 加粗 + 字体
+                if old_text == "{{sentiment_trend}}":
+                    target_run.bold = True
+                    target_run.font.name = "Times New Roman"
+                    target_run._element.rPr.rFonts.set(qn('w:eastAsia'), '仿宋')
+                    target_run.font.size = Pt(16)
+                elif old_text.startswith('{{') and old_text.endswith('}}'):
+                    # 其它模板只改字体、字号，不加粗
+                    target_run.font.name = "Times New Roman"
+                    target_run._element.rPr.rFonts.set(qn('w:eastAsia'), '仿宋')
+                    target_run.font.size = Pt(16)
+
+    except Exception as e:
+        logger.exception(f"替换段落里的文本失败：{e}")
+        print(f"替换段落里的文本失败：{e}")
+"""
 def replace_text_in_paragraph(paragraph, old_text, new_text):
     try:
         if old_text in paragraph.text:  # 检查段落中是否存在模板字符串
             # 遍历段落的每个运行
             for run in paragraph.runs:
+                if old_text =="{{sentiment_trend}}":
+                    before_text, matched_text, after_text = run.text.partition(old_text)
+                    run.clear()
+                    before_run = paragraph.add_run(before_text)
+                    target_run = paragraph.add_run(new_text)
+                    print("加黑")
+                    target_run.bold = True
+                    target_run.font.name = "Times New Roman"
+                    target_run._element.rPr.rFonts.set(qn('w:eastAsia'), '仿宋')
+                    target_run.font.size = Pt(16)
+                    before_run.font.name = "Times New Roman"
+                    before_run._element.rPr.rFonts.set(qn('w:eastAsia'), '仿宋')
+                    before_run.font.size = Pt(16)
+                    after_run = paragraph.add_run(after_text)
+                    after_run.font.name = "Times New Roman"
+                    after_run._element.rPr.rFonts.set(qn('w:eastAsia'), '仿宋')
+                    after_run.font.size = Pt(16)
+                else:
                     if old_text in run.text:
                         run.text = run.text.replace(old_text, new_text)
                     if old_text.startswith('{{')  :

app/tools/style.py

@@ -1,6 +1,7 @@
+from docx.enum.table import WD_ALIGN_VERTICAL
 from docx.shared import Pt
 from docx.oxml.ns import qn
-from docx.enum.text import WD_ALIGN_PARAGRAPH
+from docx.enum.text import WD_ALIGN_PARAGRAPH, WD_LINE_SPACING
 
 import logging
 
@@ -16,8 +17,12 @@ def table_style(table):
             # 遍历每一行的每个单元格
             for cell in row.cells:
                 # 遍历单元格的每个段落
+                cell.vertical_alignment = WD_ALIGN_VERTICAL.CENTER
                 for paragraph in cell.paragraphs:
                     paragraph.alignment = WD_ALIGN_PARAGRAPH.CENTER
+                    paragraph.paragraph_format.line_spacing_rule = WD_LINE_SPACING.EXACTLY
+                    paragraph.paragraph_format.line_spacing = Pt(11)
+                    paragraph.paragraph_format.space_after = Pt(0)
                     # 遍历段落的每个运行（Run）
                     for run in paragraph.runs:
                         # 设置英文字体（适用于数字和英文）

upgrade.md

@@ -2,3 +2,29 @@
 1) 日报模板
 2) tools/final_doc.py
 3) tools/replace_table.py
+4) tools/find_before_word.py
+
+# 2025-07-15
+1) 日报模板
+2) tools/final_doc.py
+3) tools/replace_table.py
+4) tools/find_before_word.py
+5) tools/deal_excels.py
+
+# 2025-07-23
+1) router.py
+2) 日报模板
+3) tools/deal_excels.py
+4) tools/final_doc.py
+5) tools/replace_text.py
+6) tools/style.py
+
+# 2025-07-29
+1) tools/final_doc.py
+2) tools/deal_excels.py
+3) tools/count_data.py
+
+# 2025-08-04
+1) tools/deal_excels.py
+2) tools/final_doc.py
+3) 日报模块