633 lines
25 KiB
Python
633 lines
25 KiB
Python
import os
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import threading
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import time
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import pythoncom
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import pandas as pd
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from loguru import logger
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from pptx import Presentation
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from rich.console import Console
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import traceback
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import comtypes.client
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from config.config import load_config
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from utils.agent_utils import generate_comment
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from utils.file_utils import check_file_exists, get_output_pptx_files
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from utils.image_utils import find_image_path
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from utils.zodiac_utils import calculate_zodiac
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from utils.growt_utils import (
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replace_one_page,
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replace_two_page,
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replace_three_page,
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replace_four_page,
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replace_five_page,
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)
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# ==========================================
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# 1. 生成模板(根据names.xlsx文件生成名字图片文件夹)
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# ==========================================
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def generate_template(stop_event: threading.Event = None, progress_callback=None):
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""" "
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根据学生姓名生成相对应的以学生姓名的存放照片的文件夹
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:params stop_event 任务是否停止事件（监听UI的事件监听）
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:params progress_callback 进度回调函数
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"""
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# 1. 加载配置文件
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try:
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config = load_config("config.toml")
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except Exception as e:
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logger.error(f"配置文件获取失败: {str(e)}")
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# 打印详细报错位置，方便调试
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logger.error(traceback.format_exc())
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try:
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# 1. 读取数据
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df = pd.read_excel(config["excel_file"], sheet_name="Sheet1")
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# 2. 获取姓名数据
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datas = df["姓名"].values.tolist()
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total_count = len(datas)
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logger.info(f"开始生成学生模版文件，共 {total_count} 位学生...")
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# 3. 循环处理
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for i, name in enumerate(datas):
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# 判断是否有停止事件
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if stop_event and stop_event.is_set():
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logger.warning("任务正在停止中,正在中断中.....")
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return # 停止任务
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# 添加进度条
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if progress_callback:
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progress_callback(i + 1, total_count, "生成学生图片文件夹")
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logger.info(f"[{i + 1}/{len(datas)}] 正在生成: {name}")
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# 确保 name 是字符串且去除了空格 (增加健壮性)
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name = str(name).strip()
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# 生成学生图片的文件夹
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student_folder = os.path.join(config["image_folder"], name)
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if os.path.exists(student_folder):
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logger.info(f"学生图片文件夹已存在 {student_folder}")
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else:
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logger.info(f"正在生成学生图片文件夹 {student_folder}")
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os.makedirs(student_folder, exist_ok=True)
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# 更新进度条为100%
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if progress_callback:
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progress_callback(total_count, total_count, "生成学生图片文件夹")
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logger.success("✅ 所有学生模版文件已生成完毕")
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except Exception as e:
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logger.error(f"程序运行出错: {str(e)}")
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# 打印详细报错位置，方便调试
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logger.error(traceback.format_exc())
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# ==========================================
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# 2. 生成评语(根据names.xlsx文件生成评价)
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# ==========================================
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def generate_comment_all(stop_event: threading.Event = None, progress_callback=None):
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"""
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根据学生姓名生成评价
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:params stop_event 任务是否停止事件（监听UI的事件监听）
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:params progress_callback 进度回调函数
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"""
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# 1. 加载配置文件
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try:
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config = load_config("config.toml")
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except Exception as e:
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logger.error(f"配置文件获取失败: {str(e)}")
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# 打印详细报错位置，方便调试
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logger.error(traceback.format_exc())
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try:
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# 1. 读取数据
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excel_path = config["excel_file"]
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df = pd.read_excel(excel_path, sheet_name="Sheet1")
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# 检查是否存在"评价"列，不存在则新建（防止报错）
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if "评价" not in df.columns:
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df["评价"] = ""
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# 获取学生数据行数
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total_count = len(df)
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logger.info(f"开始生成学生评语，共 {len(df)} 位学生...")
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# 强制将“评价”列转换为 object 类型
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df["评价"] = df["评价"].astype("object")
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# --- 遍历 DataFrame 的索引 (index) ---
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for i in df.index:
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if stop_event and stop_event.is_set():
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logger.warning("任务正在停止中,正在中断中.....")
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return # 停止任务
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# 获取学生姓名
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name = df.at[i, "姓名"]
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if pd.isna(name):
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continue
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else:
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name = str(name).strip()
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# 获取性别
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sex = pd.isna(df.at[i, "性别"]) if "男" else str(df.at[i, "性别"]).strip()
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# 获取当前行的特征（如果Excel里有“特征”这一列就读，没有就用默认值）
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# 假设Excel里有一列叫 "表现特征"，如果没有则用默认的 "有礼貌..."
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traits = (
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df.at[i, "表现特征"]
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if "表现特征" in df.columns and not pd.isna(df.at[i, "表现特征"])
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else "有礼貌、守纪律"
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)
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# 优化：如果“评价”列已经有内容了，跳过不生成（节省API费用）
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current_comment = df.at[i, "评价"]
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if not pd.isna(current_comment) and str(current_comment).strip() != "":
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logger.info(f"[{i + 1}/{total_count}] {name} 已有评语，跳过。")
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continue
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# 添加进度条
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if progress_callback:
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progress_callback(
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i + 1, total_count, f"[{i + 1}/{total_count}] 正在生成评价: {name}"
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)
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logger.info(f"[{i + 1}/{total_count}] 正在生成评价: {name}")
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try:
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# 调用AI大模型生成内容
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generated_text = generate_comment(
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name, config["age_group"], traits, sex
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)
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df.at[i, "评价"] = generated_text if str(generated_text).strip() else ""
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logger.success(f"学生：{name}，评语生成完毕")
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# 可选：每生成 5 个就保存一次
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if (i + 1) % 5 == 0:
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df.to_excel(excel_path, index=False)
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logger.success("✅ 阶段性保存成功")
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# 避免触发API速率限制
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time.sleep(1)
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except Exception as e:
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logger.error(f"学生：{name}，生成评语出错: {str(e)}")
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# --- 循环结束后最终保存文件 ---
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# index=False 表示不把 pandas 的索引 (0,1,2...) 写到 Excel 第一列
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df.to_excel(excel_path, index=False)
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logger.success(f"所有评语已生成并写入文件：{excel_path}")
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if progress_callback:
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progress_callback(total_count, total_count, "生成学生评语")
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except PermissionError:
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logger.error(f"保存失败！请先关闭 Excel 文件：{config['excel_file']}")
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except Exception as e:
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logger.error(f"程序运行出错: {str(e)}")
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logger.error(traceback.format_exc())
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# ==========================================
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# 3. 生成成长报告(根据names.xlsx文件生成)
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# ==========================================
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def generate_report(stop_event: threading.Event = None, progress_callback=None):
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"""
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根据学生姓名生成成长报告
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:params stop_event 任务是否停止事件（监听UI的事件监听）
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:params progress_callback 进度回调函数
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""" # 1. 加载配置文件
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try:
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config = load_config("config.toml")
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except Exception as e:
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logger.error(f"配置文件获取失败: {str(e)}")
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# 打印详细报错位置，方便调试
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logger.error(traceback.format_exc())
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# 1. 检查模版文件是否存在
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if not os.path.exists(config["source_file"]):
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logger.info(f"错误: 找不到模版文件 {config["source_file"]}")
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# 2. 检查数据文件是否存在
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if not os.path.exists(config["excel_file"]):
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logger.info(f"错误: 找不到数据文件 {config['excel_file']}")
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try:
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# 1. 读取数据
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df = pd.read_excel(config["excel_file"], sheet_name="Sheet1")
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# 2. 确保列名对应
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columns = [
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"姓名",
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"英文名",
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"性别",
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"生日",
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"属相",
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"我的好朋友",
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"我的爱好",
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"喜欢的游戏",
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"喜欢吃的食物",
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"评价",
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]
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# 获取数据列表
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datas = df[columns].values.tolist()
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total_count = len(datas)
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# 获取配置文件的教师签名
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teacher_names_str = " ".join(config["teachers"])
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logger.info(f"开始处理，共 {total_count} 位学生...")
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# 3. 循环处理
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for i, row_data in enumerate(datas):
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if stop_event and stop_event.is_set():
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logger.warning("任务正在停止中,正在中断中.....")
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return
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# 解包数据
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(
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name,
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english_name,
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sex,
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birthday,
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zodiac,
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friend,
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hobby,
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game,
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food,
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comments,
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) = row_data
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# 更新进度条
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if progress_callback:
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progress_callback(
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i + 1,
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total_count,
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f"[{i + 1}/{len(datas)}] 正在生成: 【{name}】 成长报告",
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)
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logger.info(f"[{i + 1}/{len(datas)}] 正在生成: {name}")
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# 每次循环重新加载模版
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prs = Presentation(config["source_file"])
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# --- 页面 1 ---
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replace_one_page(prs, name, config["class_name"])
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# --- 页面 2 ---
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replace_two_page(prs, comments, teacher_names_str)
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# --- 页面 3 ---
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student_image_folder = os.path.join(config["image_folder"], name)
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logger.info(f"学生：{name}，图片文件夹: {student_image_folder}")
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# 判断学生图片文件夹是否存在
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if not os.path.exists(student_image_folder):
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logger.warning(
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f"⚠️ 警告: 学生：{name}，学生图片文件夹不存在 {student_image_folder}"
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)
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continue
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# 检查姓名是否为空
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if not name:
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logger.error(f"⚠️ 警告: 学生：{name}，姓名为空，跳过")
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break
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# 构造学生信息字典
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student_info_dict = {
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"name": name,
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"english_name": english_name if pd.notna(english_name) else " ",
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"sex": sex if pd.notna(sex) else "男",
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"birthday": (
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birthday.strftime("%Y-%m-%d") if pd.notna(birthday) else " "
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),
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"zodiac": (
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str(zodiac).strip()
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if str(zodiac).strip() or not str(zodiac).strip().lower()
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else " "
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),
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"friend": (
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str(friend).strip()
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if str(friend).strip() or not str(friend).strip().lower()
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else " "
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),
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"hobby": (
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str(hobby).strip()
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if str(hobby).strip() or not str(hobby).strip().lower()
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else " "
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),
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"game": (
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str(game).strip()
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if str(game).strip() or not str(game).strip().lower()
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else " "
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),
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"food": (
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str(food).strip()
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if str(food).strip() or not str(food).strip().lower()
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else " "
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),
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}
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# 获取学生个人照片路径
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me_image_path = find_image_path(student_image_folder, "me")
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# 检查学生图片是否存在，若不存在则跳过
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if check_file_exists(me_image_path):
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replace_three_page(prs, student_info_dict, me_image_path)
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else:
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replace_three_page(prs, student_info_dict)
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logger.warning(f"⚠️ 警告: 学生图片文件不存在 {me_image_path}")
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# --- 页面 4 ---
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class_image_path = find_image_path(
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config["image_folder"], config["class_name"]
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)
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# 添加检查班级图片是否存在，若不存在则跳过
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if check_file_exists(class_image_path):
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replace_four_page(prs, class_image_path)
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else:
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logger.warning(f"⚠️ 警告: 班级图片文件不存在 {class_image_path}")
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# --- 页面 5 ---
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if os.path.exists(student_image_folder):
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img1_path = find_image_path(student_image_folder, "1")
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img2_path = find_image_path(student_image_folder, "2")
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# 逻辑优化：
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# 情况A: 两张都找到了 -> 正常插入
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if img1_path and img2_path:
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replace_five_page(prs, img1_path, img2_path)
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# 情况B: 只找到了 1 -> 两张图都用 1 (避免报错)
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elif img1_path and not img2_path:
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replace_five_page(prs, img1_path, img1_path)
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# 情况C: 一张都没找到
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else:
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logger.warning(
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f"⚠️ 警告: {name} 缺少作品照片 (1.jpg/png 或 2.jpg/png)[/]"
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)
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else:
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logger.warning(f"错误: 学生图片文件夹不存在 {student_image_folder}")
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# --- 保存文件 ---
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file_ext = os.path.splitext(config["source_file"])[1]
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safe_name = str(name).strip()
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new_filename = f"{config['class_name']} {safe_name} 幼儿成长报告{file_ext}"
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output_path = os.path.join(config["output_folder"], new_filename)
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try:
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prs.save(output_path)
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logger.success(f"学生：{name}，保存成功: {new_filename}")
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except PermissionError:
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logger.error(
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f"保存失败: 文件 {new_filename} 可能已被打开，请关闭后重试。"
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)
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if progress_callback:
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progress_callback(total_count, total_count, "生成报告")
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logger.success("所有报告生成完毕！")
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except Exception as e:
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logger.error(f"程序运行出错: {str(e)}")
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logger.error(traceback.format_exc())
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# ==========================================
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# 4. 转换格式(根据names.xlsx文件生成PPT转PDF)
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# ==========================================
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def generate_convert_pdf(stop_event: threading.Event = None, progress_callback=None):
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"""
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批量转换文件夹下的所有 PPT
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:params folder_path 需要转换的PPT文件夹
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:params stop_event 任务是否停止事件（监听UI的事件监听）
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:params progress_callback 进度回调函数
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"""
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# 1. 加载配置文件
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try:
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config = load_config("config.toml")
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except Exception as e:
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logger.error(f"配置文件获取失败: {str(e)}")
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# 打印详细报错位置，方便调试
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logger.error(traceback.format_exc())
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# 子线程初始化 COM 组件
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pythoncom.CoInitialize()
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try:
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folder_path = os.path.abspath(config.get("output_folder"))
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if not os.path.exists(folder_path):
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logger.error(f"文件夹不存在: {folder_path}")
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return
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# 获取所有 ppt/pptx 文件
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files = [
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f for f in os.listdir(folder_path) if f.lower().endswith((".ppt", ".pptx"))
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]
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if not files:
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logger.warning("没有找到 PPT 文件")
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return
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total_count = len(files)
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logger.info(f"发现 {total_count} 个文件，准备开始转换...")
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powerpoint = None
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try:
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# 1. 启动应用 (只启动一次)
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powerpoint = comtypes.client.CreateObject("PowerPoint.Application")
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# 设置是否显示转化页面，但如果遇到转换卡死，可以尝试去掉下面这行的注释，让它显示出来
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# powerpoint.Visible = 1
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for filename in files:
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if stop_event and stop_event.is_set():
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logger.warning("任务正在停止中,正在中断中.....")
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return
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# 添加进度条
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if progress_callback:
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progress_callback(files.index(filename), total_count, "转换PDF")
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ppt_path = os.path.join(folder_path, filename)
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pdf_path = os.path.splitext(ppt_path)[0] + ".pdf"
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|
||
# 如果 PDF 已存在，可以选择跳过
|
||
if os.path.exists(pdf_path):
|
||
logger.info(f"[跳过] 已存在: {filename}")
|
||
continue
|
||
|
||
logger.info(
|
||
f"[{files.index(filename)}/{total_count}]正在转换: {filename} ..."
|
||
)
|
||
|
||
try:
|
||
# 打开 -> 另存为 -> 关闭
|
||
deck = powerpoint.Presentations.Open(ppt_path)
|
||
deck.SaveAs(pdf_path, 32) # 32 代表 PDF 格式
|
||
deck.Close()
|
||
except Exception as e:
|
||
logger.error(f"文件 {filename} 转换出错: {e}")
|
||
|
||
# 添加进度条
|
||
if progress_callback:
|
||
progress_callback(total_count, total_count, "转换PDF")
|
||
except Exception as e:
|
||
logger.error(f"PowerPoint 进程启动出错: {e}")
|
||
finally:
|
||
# 2. 退出应用
|
||
if powerpoint:
|
||
try:
|
||
powerpoint.Quit()
|
||
except:
|
||
pass
|
||
logger.success("PowerPoint 已关闭，批量转换完成。")
|
||
|
||
except Exception as e:
|
||
logger.error(f"未知错误: {e}")
|
||
finally:
|
||
# 【核心修复 2】释放资源
|
||
pythoncom.CoUninitialize()
|
||
|
||
|
||
# ==========================================
|
||
# 5. 生成属相(根据names.xlsx文件生成属相)
|
||
# ==========================================
|
||
def generate_zodiac(stop_event: threading.Event = None, progress_callback=None):
|
||
"""
|
||
生成学生属相，如果“生日”列为空，则跳过该学生。
|
||
:params stop_event 任务是否停止事件（监听UI的事件监听）
|
||
:params progress_callback 进度回调函数
|
||
"""
|
||
# 1. 加载配置文件
|
||
try:
|
||
config = load_config("config.toml")
|
||
except Exception as e:
|
||
logger.error(f"配置文件获取失败: {str(e)}")
|
||
# 打印详细报错位置，方便调试
|
||
logger.error(traceback.format_exc())
|
||
try:
|
||
# 1. 读取数据
|
||
excel_path = config["excel_file"]
|
||
df = pd.read_excel(excel_path, sheet_name="Sheet1")
|
||
|
||
# 2. 检查必要的列
|
||
date_column = "生日"
|
||
target_column = "属相"
|
||
|
||
if date_column not in df.columns:
|
||
logger.error(f"Excel中找不到列名：【{date_column}】，请检查表头。")
|
||
return
|
||
|
||
if target_column not in df.columns:
|
||
df[target_column] = ""
|
||
|
||
total_count = len(df)
|
||
logger.info(f"开始生成学生属相，共 {total_count} 位学生...")
|
||
|
||
# 3. 预处理：将“生日”列转换为 datetime 格式
|
||
df["temp_date"] = pd.to_datetime(df[date_column], errors="coerce")
|
||
|
||
# 4. 遍历 DataFrame 并计算/更新数据
|
||
for i, row in df.iterrows():
|
||
|
||
# 关键点 1: 检查停止信号
|
||
if stop_event and stop_event.is_set():
|
||
logger.warning("任务已接收到停止信号，正在中断...")
|
||
return
|
||
# 添加进度条
|
||
if progress_callback:
|
||
progress_callback(i + 1, total_count, "生成属相")
|
||
|
||
name = row.get("姓名", f"学生_{i + 1}")
|
||
date = row["temp_date"]
|
||
|
||
logger.info(f"[{i + 1}/{total_count}] 正在处理学生：{name}...")
|
||
|
||
# === 关键点 2: 检查生日是否为空 ===
|
||
if pd.isna(date):
|
||
# 记录警告日志并跳过当前循环迭代
|
||
logger.warning(f"跳过：学生【{name}】的生日数据为空或格式错误。")
|
||
# 可以选择将属相字段清空或设置为特定值，此处设置为“待补充”
|
||
df.loc[i, target_column] = "待补充"
|
||
continue # 跳到下一个学生
|
||
# =================================
|
||
|
||
# 5. 计算并赋值
|
||
zodiac = calculate_zodiac(date)
|
||
|
||
df.loc[i, target_column] = zodiac
|
||
|
||
logger.info(f" -> 属相计算成功：{name} ，属相: {zodiac}")
|
||
|
||
# 6. 清理和保存结果
|
||
df = df.drop(columns=["temp_date"])
|
||
|
||
save_path = excel_path
|
||
try:
|
||
df.to_excel(save_path, sheet_name="Sheet1", index=False)
|
||
logger.success(f"所有属相已更新并写入文件：{save_path}")
|
||
except PermissionError:
|
||
logger.error(f"保存失败！请先关闭 Excel 文件：{save_path}")
|
||
# 添加进度条
|
||
if progress_callback:
|
||
progress_callback(total_count, total_count, "生成属相")
|
||
|
||
except FileNotFoundError:
|
||
logger.error(f"找不到文件 {config.get('excel_file')}")
|
||
logger.error(traceback.format_exc())
|
||
except Exception as e:
|
||
logger.error(f"程序运行出错: {str(e)}")
|
||
logger.error(traceback.format_exc())
|
||
|
||
|
||
# ==========================================
|
||
# 6. 一键生成园长签名(根据输出文件夹生成签名)
|
||
# ==========================================
|
||
def generate_signature(progress_callback=None) -> str:
|
||
"""
|
||
生成园长签名（不依赖占位符，直接在指定位置添加）
|
||
"""
|
||
# 1. 加载配置文件
|
||
try:
|
||
config = load_config("config.toml")
|
||
except Exception as e:
|
||
logger.error(f"配置文件获取失败: {str(e)}")
|
||
# 打印详细报错位置，方便调试
|
||
logger.error(traceback.format_exc())
|
||
try:
|
||
# 获取所有的PPT (此时返回的是文件名或路径的列表)
|
||
pptx_files = get_output_pptx_files(config["output_folder"])
|
||
|
||
if not pptx_files:
|
||
logger.warning("没有找到 PPT 文件")
|
||
return "未找到文件"
|
||
|
||
logger.info(f"开始生成签名，共 {len(pptx_files)} 个 PPT 文件...")
|
||
|
||
img_path = config.get("signature_image") # 签名图片路径
|
||
if not img_path or not os.path.exists(img_path):
|
||
logger.error(f"签名图片不存在: {img_path}")
|
||
logger.warning(f"⚠️ 警告: 缺少签名照片（'signature'）")
|
||
return
|
||
logger.info(f"签名图片存在: {img_path}")
|
||
|
||
# 从配置文件获取签名位置信息，如果没有则使用默认值
|
||
signature_left = config.get("signature_left", 2987040) # 左位置
|
||
signature_top = config.get("signature_top", 8273415) # 上位置
|
||
signature_width = config.get("signature_width", 1800000) # 宽度
|
||
signature_height = config.get("signature_height", 720000) # 高度
|
||
# 导入必要的模块
|
||
from utils.image_utils import get_corrected_image_stream
|
||
|
||
for i, filename in enumerate(pptx_files):
|
||
# 获取完整绝对路径
|
||
pptx_path = os.path.join(config["output_folder"], filename)
|
||
|
||
# 打开 PPT 对象
|
||
prs = Presentation(pptx_path)
|
||
|
||
# 获取第二张幻灯片 (索引为1)
|
||
slide = prs.slides[1]
|
||
|
||
# 获取修正后的图片流
|
||
img_stream = get_corrected_image_stream(img_path)
|
||
|
||
# 直接在指定位置添加签名图片
|
||
slide.shapes.add_picture(
|
||
img_stream,
|
||
signature_left,
|
||
signature_top,
|
||
signature_width,
|
||
signature_height,
|
||
)
|
||
logger.info(f"在幻灯片 1 上添加签名图片")
|
||
|
||
# 保存修改后的 PPT
|
||
prs.save(pptx_path)
|
||
|
||
# 更新进度条 (如果有 callback)
|
||
if progress_callback:
|
||
progress_callback(
|
||
i + 1,
|
||
len(pptx_files),
|
||
f"[{i + 1}/{len(pptx_files)}] 生成签名完成: {filename}",
|
||
)
|
||
logger.success(f"[{i + 1}/{len(pptx_files)}] 生成签名完成: {filename}")
|
||
if progress_callback:
|
||
progress_callback(len(pptx_files), len(pptx_files), "签名生成完成")
|
||
except Exception as e:
|
||
logger.error(f"generate_signature 发生未知错误: {e}")
|
||
# 打印详细报错位置，方便调试
|
||
logger.error(traceback.format_exc())
|
||
return str(e)
|