import os
import pandas as pd
import tkinter as tk
from tkinter import ttk, filedialog, scrolledtext, messagebox
from tkinter.colorchooser import askcolor
from difflib import SequenceMatcher
import re
import openpyxl
import threading
import numpy as np
from openpyxl.utils import get_column_letter
import xlrd
import gc
import hashlib
import json
import tempfile
from concurrent.futures import ThreadPoolExecutor, as_completed
import unicodedata
class EnhancedSignalComparator:
def __init__(self, root):
self.root = root
self.root.title("增强版信号功能对比工具")
self.root.geometry("1200x800")
self.root.configure(bg="#f0f0f0")
# 初始化变量
self.folder_path = tk.StringVar()
self.search_text = tk.StringVar()
self.files = []
self.results = {} # 存储信号对比结果
self.highlight_color = "#FFD700" # 默认高亮色
self.search_running = False
self.stop_requested = False
self.cache_dir = os.path.join(tempfile.gettempdir(), "excel_cache")
self.file_cache = {} # 文件缓存
self.column_cache = {} # 列名缓存
self.max_workers = 4 # 最大并发线程数
# 创建缓存目录
os.makedirs(self.cache_dir, exist_ok=True)
# 创建界面
self.create_widgets()
def create_widgets(self):
# 顶部控制面板
control_frame = ttk.Frame(self.root, padding=10)
control_frame.pack(fill=tk.X)
# 文件夹选择
ttk.Label(control_frame, text="选择文件夹:").grid(row=0, column=0, sticky=tk.W)
folder_entry = ttk.Entry(control_frame, textvariable=self.folder_path, width=50)
folder_entry.grid(row=0, column=1, padx=5, sticky=tk.EW)
ttk.Button(control_frame, text="浏览...", command=self.browse_folder).grid(row=0, column=2)
# 搜索输入
ttk.Label(control_frame, text="搜索信号:").grid(row=1, column=0, sticky=tk.W, pady=(10,0))
search_entry = ttk.Entry(control_frame, textvariable=self.search_text, width=50)
search_entry.grid(row=1, column=1, padx=5, pady=(10,0), sticky=tk.EW)
search_entry.bind("<Return>", lambda event: self.start_search_thread())
ttk.Button(control_frame, text="搜索", command=self.start_search_thread).grid(row=1, column=2, pady=(10,0))
ttk.Button(control_frame, text="停止", command=self.stop_search).grid(row=1, column=3, pady=(10,0), padx=5)
# 高级选项
ttk.Label(control_frame, text="并发线程:").grid(row=2, column=0, sticky=tk.W, pady=(10,0))
self.thread_var = tk.StringVar(value="4")
ttk.Combobox(control_frame, textvariable=self.thread_var,
values=["1", "2", "4", "8"], width=5).grid(row=2, column=1, sticky=tk.W, padx=5, pady=(10,0))
# 文件过滤
ttk.Label(control_frame, text="文件过滤:").grid(row=2, column=2, sticky=tk.W, pady=(10,0))
self.filter_var = tk.StringVar(value="*.xlsx;*.xlsm;*.xls")
ttk.Entry(control_frame, textvariable=self.filter_var, width=20).grid(row=2, column=3, sticky=tk.W, padx=5, pady=(10,0))
# 高亮颜色选择
ttk.Label(control_frame, text="高亮颜色:").grid(row=3, column=0, sticky=tk.W, pady=(10,0))
self.color_btn = tk.Button(control_frame, bg=self.highlight_color, width=3,
command=self.choose_color)
self.color_btn.grid(row=3, column=1, sticky=tk.W, padx=5, pady=(10,0))
# 进度条
self.progress = ttk.Progressbar(control_frame, orient="horizontal", length=200, mode="determinate")
self.progress.grid(row=3, column=2, columnspan=2, sticky=tk.EW, padx=5, pady=(10,0))
# 结果标签
self.result_label = ttk.Label(control_frame, text="")
self.result_label.grid(row=3, column=4, sticky=tk.W, padx=5, pady=(10,0))
# 对比面板
notebook = ttk.Notebook(self.root)
notebook.pack(fill=tk.BOTH, expand=True, padx=10, pady=10)
# 表格视图
self.table_frame = ttk.Frame(notebook)
notebook.add(self.table_frame, text="表格视图")
# 文本对比视图
self.text_frame = ttk.Frame(notebook)
notebook.add(self.text_frame, text="行内容对比")
# 状态栏
self.status_var = tk.StringVar()
status_bar = ttk.Label(self.root, textvariable=self.status_var, relief=tk.SUNKEN, anchor=tk.W)
status_bar.pack(side=tk.BOTTOM, fill=tk.X)
# 初始化表格和文本区域
self.init_table_view()
self.init_text_view()
def init_table_view(self):
"""初始化表格视图"""
# 创建树状表格
columns = ("信号", "文件", "行内容摘要")
self.tree = ttk.Treeview(self.table_frame, columns=columns, show="headings")
# 设置列标题
for col in columns:
self.tree.heading(col, text=col)
self.tree.column(col, width=200, anchor=tk.W)
# 添加滚动条
scrollbar = ttk.Scrollbar(self.table_frame, orient=tk.VERTICAL, command=self.tree.yview)
self.tree.configure(yscrollcommand=scrollbar.set)
self.tree.pack(side=tk.LEFT, fill=tk.BOTH, expand=True)
scrollbar.pack(side=tk.RIGHT, fill=tk.Y)
# 绑定选择事件
self.tree.bind("<<TreeviewSelect>>", self.on_table_select)
def init_text_view(self):
"""初始化文本对比视图"""
self.text_panes = {}
self.text_frame.columnconfigure(0, weight=1)
self.text_frame.rowconfigure(0, weight=1)
# 创建对比容器
self.compare_container = ttk.Frame(self.text_frame)
self.compare_container.grid(row=0, column=0, sticky="nsew", padx=5, pady=5)
# 添加差异高亮按钮
btn_frame = ttk.Frame(self.text_frame)
btn_frame.grid(row=1, column=0, sticky="ew", padx=5, pady=5)
ttk.Button(btn_frame, text="高亮显示差异", command=self.highlight_differences).pack(side=tk.LEFT)
ttk.Button(btn_frame, text="导出差异报告", command=self.export_report).pack(side=tk.LEFT, padx=5)
ttk.Button(btn_frame, text="清除缓存", command=self.clear_cache).pack(side=tk.LEFT, padx=5)
ttk.Button(btn_frame, text="手动指定列名", command=self.manual_column_select).pack(side=tk.LEFT, padx=5)
def browse_folder(self):
"""选择文件夹"""
folder = filedialog.askdirectory(title="选择包含Excel文件的文件夹")
if folder:
self.folder_path.set(folder)
self.load_files()
def load_files(self):
"""加载文件夹中的Excel文件（优化特殊字符处理）"""
folder = self.folder_path.get()
if not folder or not os.path.isdir(folder):
return
# 获取文件过滤模式
filter_patterns = self.filter_var.get().split(';')
self.files = []
for file in os.listdir(folder):
file_path = os.path.join(folder, file)
# 跳过临时文件
if file.startswith('~$'):
continue
# 检查文件扩展名
file_lower = file.lower()
matched = False
for pattern in filter_patterns:
# 移除通配符并转换为小写
ext = pattern.replace('*', '').lower()
if file_lower.endswith(ext):
matched = True
break
if matched:
# 规范化文件名处理特殊字符
normalized_path = self.normalize_file_path(file_path)
if normalized_path and os.path.isfile(normalized_path):
self.files.append(normalized_path)
self.status_var.set(f"找到 {len(self.files)} 个Excel文件")
def normalize_file_path(self, path):
"""规范化文件路径，处理特殊字符"""
try:
# 尝试直接访问文件
if os.path.exists(path):
return path
# 尝试Unicode规范化
normalized = unicodedata.normalize('NFC', path)
if os.path.exists(normalized):
return normalized
# 尝试不同编码方案
encodings = ['utf-8', 'shift_jis', 'euc-jp', 'cp932']
for encoding in encodings:
try:
decoded = path.encode('latin1').decode(encoding)
if os.path.exists(decoded):
return decoded
except:
continue
# 最终尝试原始路径
return path
except Exception as e:
self.status_var.set(f"文件路径处理错误: {str(e)}")
return path
def get_file_hash(self, file_path):
"""计算文件哈希值用于缓存"""
try:
hash_md5 = hashlib.md5()
with open(file_path, "rb") as f:
for chunk in iter(lambda: f.read(4096), b""):
hash_md5.update(chunk)
return hash_md5.hexdigest()
except Exception as e:
self.status_var.set(f"计算文件哈希失败: {str(e)}")
return str(os.path.getmtime(file_path))
def get_cache_filename(self, file_path):
"""获取缓存文件名"""
file_hash = self.get_file_hash(file_path)
return os.path.join(self.cache_dir, f"{os.path.basename(file_path)}_{file_hash}.cache")
def load_header_cache(self, file_path):
"""加载列名缓存"""
cache_file = self.get_cache_filename(file_path)
if os.path.exists(cache_file):
try:
with open(cache_file, "r", encoding='utf-8') as f:
return json.load(f)
except:
return None
return None
def save_header_cache(self, file_path, header_info):
"""保存列名缓存"""
cache_file = self.get_cache_filename(file_path)
try:
with open(cache_file, "w", encoding='utf-8') as f:
json.dump(header_info, f)
return True
except:
return False
def find_header_row(self, file_path):
"""查找列名行（增强版）"""
# 检查缓存
cache = self.load_header_cache(file_path)
if cache:
return cache.get("header_row"), cache.get("signal_col")
# 没有缓存则重新查找
if file_path.lower().endswith((".xlsx", ".xlsm")):
return self.find_header_row_openpyxl(file_path)
elif file_path.lower().endswith(".xls"):
return self.find_header_row_xlrd(file_path)
return None, None
def find_header_row_openpyxl(self, file_path):
"""使用openpyxl查找列名行（增强版）"""
try:
wb = openpyxl.load_workbook(file_path, read_only=True, data_only=True)
ws = wb.active
# 尝试多种列名匹配模式
patterns = [
r'ﾃﾞｰﾀ名', # 半角片假名
r'データ名', # 全角片假名
r'信号名', # 中文
r'Signal Name', # 英文
r'Data Name',
r'信号名称',
r'データ名称'
]
# 扩大搜索范围：前100行和前100列
for row_idx in range(1, 101): # 1-100行
# 扩大列搜索范围到100列
for col_idx in range(1, 101): # 1-100列
try:
cell = ws.cell(row=row_idx, column=col_idx)
cell_value = cell.value
if not cell_value:
continue
# 尝试所有匹配模式
cell_str = str(cell_value)
for pattern in patterns:
if re.search(pattern, cell_str, re.IGNORECASE):
# 找到列名行后，尝试确定信号列
signal_col = None
# 在同行中查找信号列
for col_idx2 in range(1, 101): # 1-100列
try:
cell2 = ws.cell(row=row_idx, column=col_idx2)
cell2_value = cell2.value
if not cell2_value:
continue
cell2_str = str(cell2_value)
if re.search(pattern, cell2_str, re.IGNORECASE):
signal_col = col_idx2
break
except:
continue
# 保存缓存
if signal_col is not None:
header_info = {"header_row": row_idx, "signal_col": signal_col}
self.save_header_cache(file_path, header_info)
wb.close()
return row_idx, signal_col
except:
continue
wb.close()
except Exception as e:
self.status_var.set(f"查找列名行出错: {str(e)}")
return None, None
def find_header_row_xlrd(self, file_path):
"""使用xlrd查找列名行（增强版）"""
try:
wb = xlrd.open_workbook(file_path)
ws = wb.sheet_by_index(0)
# 尝试多种列名匹配模式
patterns = [
r'ﾃﾞｰﾀ名', # 半角片假名
r'データ名', # 全角片假名
r'信号名', # 中文
r'Signal Name', # 英文
r'Data Name',
r'信号名称',
r'データ名称'
]
# 扩大搜索范围：前100行和前100列
for row_idx in range(0, 100): # 0-99行
# 扩大列搜索范围到100列
for col_idx in range(0, 100): # 0-99列
try:
cell_value = ws.cell_value(row_idx, col_idx)
if not cell_value:
continue
# 尝试所有匹配模式
cell_str = str(cell_value)
for pattern in patterns:
if re.search(pattern, cell_str, re.IGNORECASE):
# 找到列名行后，尝试确定信号列
signal_col = None
# 在同行中查找信号列
for col_idx2 in range(0, 100): # 0-99列
try:
cell2_value = ws.cell_value(row_idx, col_idx2)
if not cell2_value:
continue
cell2_str = str(cell2_value)
if re.search(pattern, cell2_str, re.IGNORECASE):
signal_col = col_idx2
break
except:
continue
# 保存缓存
if signal_col is not None:
header_info = {"header_row": row_idx, "signal_col": signal_col}
self.save_header_cache(file_path, header_info)
return row_idx, signal_col
except:
continue
except Exception as e:
self.status_var.set(f"查找列名行出错: {str(e)}")
return None, None
def extract_row_content(self, ws, row_idx, header_row, max_cols=100):
"""高效提取行内容（最多到100列）"""
content = []
# 扩展到100列
for col_idx in range(1, max_cols + 1):
try:
cell = ws.cell(row=row_idx, column=col_idx)
if cell.value is not None and str(cell.value).strip() != '':
# 使用列名缓存
col_key = f"{header_row}-{col_idx}"
if col_key in self.column_cache:
col_name = self.column_cache[col_key]
else:
col_name_cell = ws.cell(row=header_row, column=col_idx)
col_name = col_name_cell.value if col_name_cell.value else f"列{get_column_letter(col_idx)}"
self.column_cache[col_key] = col_name
content.append(f"{col_name}: {str(cell.value).strip()}")
except:
continue
return "\n".join(content)
def start_search_thread(self):
"""启动搜索线程"""
if self.search_running:
return
self.search_running = True
self.stop_requested = False
self.max_workers = int(self.thread_var.get())
threading.Thread(target=self.search_files, daemon=True).start()
def stop_search(self):
"""停止搜索"""
self.stop_requested = True
self.status_var.set("正在停止搜索...")
def search_files(self):
"""在文件中搜索内容（优化特殊文件处理）"""
search_term = self.search_text.get().strip()
if not search_term:
self.status_var.set("请输入搜索内容")
self.search_running = False
return
if not self.files:
self.status_var.set("请先选择文件夹")
self.search_running = False
return
# 重置结果和UI
self.results = {}
for item in self.tree.get_children():
self.tree.delete(item)
total_files = len(self.files)
processed_files = 0
found_signals = 0
# 使用线程池处理文件
with ThreadPoolExecutor(max_workers=self.max_workers) as executor:
futures = {}
for file_path in self.files:
if self.stop_requested:
break
future = executor.submit(self.process_file, file_path, search_term)
futures[future] = file_path
# 处理完成的任务
for future in as_completed(futures):
if self.stop_requested:
break
file_path = futures[future]
try:
found = future.result()
found_signals += found
processed_files += 1
# 更新进度
progress = int(processed_files / total_files * 100)
self.progress["value"] = progress
self.status_var.set(f"已处理 {processed_files}/{total_files} 个文件")
self.root.update_idletasks()
except Exception as e:
self.status_var.set(f"处理文件 {os.path.basename(file_path)} 出错: {str(e)}")
# 更新结果
if self.stop_requested:
self.status_var.set(f"搜索已停止，已处理 {processed_files}/{total_files} 个文件")
elif found_signals == 0:
self.status_var.set(f"未找到包含 '{search_term}' 的信号")
else:
self.status_var.set(f"找到 {len(self.results)} 个匹配信号，共 {found_signals} 处匹配")
self.update_text_view()
self.progress["value"] = 0
self.search_running = False
gc.collect() # 强制垃圾回收释放内存
def process_file(self, file_path, search_term):
"""处理单个文件（增强异常处理）"""
found = 0
try:
# 获取列名行和信号列
header_row, signal_col = self.find_header_row(file_path)
# 如果自动查找失败，尝试手动模式
if header_row is None or signal_col is None:
self.status_var.set(f"文件 {os.path.basename(file_path)} 未找到列名行，尝试手动查找...")
header_row, signal_col = self.manual_find_header_row(file_path)
if header_row is None or signal_col is None:
self.status_var.set(f"文件 {os.path.basename(file_path)} 无法确定列名行，已跳过")
return found
# 根据文件类型处理
if file_path.lower().endswith((".xlsx", ".xlsm")):
found = self.process_openpyxl_file(file_path, search_term, header_row, signal_col)
elif file_path.lower().endswith(".xls"):
found = self.process_xlrd_file(file_path, search_term, header_row, signal_col)
except Exception as e:
self.status_var.set(f"处理文件 {os.path.basename(file_path)} 出错: {str(e)}")
return found
def manual_find_header_row(self, file_path):
"""手动查找列名行（当自动查找失败时使用）"""
try:
# 尝试打开文件
if file_path.lower().endswith((".xlsx", ".xlsm")):
wb = openpyxl.load_workbook(file_path, read_only=True, data_only=True)
ws = wb.active
# 扫描整个工作表（最多1000行）
for row_idx in range(1, 1001):
for col_idx in range(1, 101):
try:
cell = ws.cell(row=row_idx, column=col_idx)
if cell.value and "データ" in str(cell.value):
# 找到可能的列名行
return row_idx, col_idx
except:
continue
wb.close()
elif file_path.lower().endswith(".xls"):
wb = xlrd.open_workbook(file_path)
ws = wb.sheet_by_index(0)
# 扫描整个工作表（最多1000行）
for row_idx in range(0, 1000):
for col_idx in range(0, 100):
try:
cell_value = ws.cell_value(row_idx, col_idx)
if cell_value and "データ" in str(cell_value):
# 找到可能的列名行
return row_idx, col_idx
except:
continue
except:
pass
return None, None
def get_file_cache_key(self, file_path, header_row, signal_col):
"""生成唯一的文件缓存键"""
file_hash = self.get_file_hash(file_path)
return f"{file_hash}_{header_row}_{signal_col}"
def process_openpyxl_file(self, file_path, search_term, header_row, signal_col):
found = 0
try:
cache_key = self.get_file_cache_key(file_path, header_row, signal_col)
# 使用缓存或创建新处理
if cache_key in self.file_cache:
match_rows = self.file_cache[cache_key]
else:
# 高效读取匹配行
wb = openpyxl.load_workbook(file_path, data_only=True, read_only=True)
ws = wb.active
min_row = header_row + 1
max_row = min(ws.max_row, min_row + 10000) # 扩大行数限制
# 直接查找匹配行 - 避免全量读取
match_rows = []
for row_idx in range(min_row, max_row + 1):
try:
cell = ws.cell(row=row_idx, column=signal_col)
if cell.value and search_term.lower() in str(cell.value).lower():
match_rows.append(row_idx)
except:
continue
# 缓存匹配行位置而非全量数据
self.file_cache[cache_key] = match_rows
wb.close()
# 批量处理匹配行
if match_rows:
# 使用优化方式打开文件
wb = openpyxl.load_workbook(file_path, data_only=True)
ws = wb.active
# 预先获取列名映射
col_names = {}
for col_idx in range(1, 101): # 只处理前100列
try:
col_cell = ws.cell(row=header_row, column=col_idx)
col_names[col_idx] = col_cell.value if col_cell.value else f"列{get_column_letter(col_idx)}"
except:
col_names[col_idx] = f"列{col_idx}"
for row_idx in match_rows:
# 只提取必要的列
row_content = []
for col_idx in range(1, 11): # 只处理前10个关键列
try:
cell = ws.cell(row=row_idx, column=col_idx)
if cell.value:
row_content.append(f"{col_names.get(col_idx, f'列{col_idx}')}: {str(cell.value).strip()}")
except:
continue
row_content = "\n".join(row_content)
signal = ws.cell(row=row_idx, column=signal_col).value
# 添加到结果集
if signal not in self.results:
self.results[signal] = {}
short_name = os.path.basename(file_path)
self.results[signal][short_name] = row_content
# 添加到表格
summary = row_content[:50] + "..." if len(row_content) > 50 else row_content
self.tree.insert("", tk.END, values=(signal, short_name, summary))
found += 1
wb.close()
except Exception as e:
self.status_var.set(f"处理文件 {os.path.basename(file_path)} 出错: {str(e)}")
return found
def process_xlrd_file(self, file_path, search_term, header_row, signal_col):
found = 0
try:
cache_key = self.get_file_cache_key(file_path, header_row, signal_col)
if cache_key in self.file_cache:
match_rows = self.file_cache[cache_key]
else:
wb = xlrd.open_workbook(file_path, on_demand=True)
ws = wb.sheet_by_index(0)
min_row = header_row + 1
max_row = min(ws.nrows, min_row + 10000) # 限制行数
# 直接查找匹配行
match_rows = []
for row_idx in range(min_row, max_row):
try:
cell_value = ws.cell_value(row_idx, signal_col)
if cell_value and search_term.lower() in str(cell_value).lower():
match_rows.append(row_idx)
except:
continue
self.file_cache[cache_key] = match_rows
wb.release_resources()
if match_rows:
wb = xlrd.open_workbook(file_path)
ws = wb.sheet_by_index(0)
# 预先获取列名
col_names = {}
for col_idx in range(0, 10): # 只处理前10列
try:
col_name = ws.cell_value(header_row, col_idx)
col_names[col_idx] = col_name if col_name else f"列{col_idx+1}"
except:
col_names[col_idx] = f"列{col_idx+1}"
for row_idx in match_rows:
# 只提取关键列
row_content = []
for col_idx in range(0, 10): # 前10列
try:
cell_value = ws.cell_value(row_idx, col_idx)
if cell_value:
row_content.append(f"{col_names.get(col_idx, f'列{col_idx+1}')}: {str(cell_value).strip()}")
except:
continue
row_content = "\n".join(row_content)
signal = ws.cell_value(row_idx, signal_col)
if signal not in self.results:
self.results[signal] = {}
short_name = os.path.basename(file_path)
self.results[signal][short_name] = row_content
summary = row_content[:50] + "..." if len(row_content) > 50 else row_content
self.tree.insert("", tk.END, values=(signal, short_name, summary))
found += 1
wb.release_resources()
except Exception as e:
self.status_var.set(f"处理文件 {os.path.basename(file_path)} 出错: {str(e)}")
return found
def extract_xlrd_row_content(self, ws, row_idx, header_row):
"""为xls文件高效提取行内容"""
content = []
try:
row_values = ws.row_values(row_idx)
except:
return ""
# 扩展到100列
for col_idx in range(min(len(row_values), 100)):
try:
cell_value = row_values[col_idx]
if cell_value is not None and str(cell_value).strip() != '':
# 使用列名缓存
col_key = f"{header_row}-{col_idx}"
if col_key in self.column_cache:
col_name = self.column_cache[col_key]
else:
try:
col_name = ws.cell_value(header_row, col_idx)
if not col_name:
col_name = f"列{col_idx+1}"
except:
col_name = f"列{col_idx+1}"
self.column_cache[col_key] = col_name
content.append(f"{col_name}: {str(cell_value).strip()}")
except:
continue
return "\n".join(content)
def update_text_view(self):
"""更新文本对比视图"""
# 清除现有文本区域
for widget in self.compare_container.winfo_children():
widget.destroy()
if not self.results:
return
# 获取第一个信号作为默认显示
first_signal = next(iter(self.results.keys()))
self.display_signal_comparison(first_signal)
def on_table_select(self, event):
"""表格选择事件处理"""
selected = self.tree.selection()
if not selected:
return
item = self.tree.item(selected[0])
signal = item["values"][0]
self.display_signal_comparison(signal)
def display_signal_comparison(self, signal):
"""显示指定信号的对比"""
# 清除现有文本区域
for widget in self.compare_container.winfo_children():
widget.destroy()
if signal not in self.results:
return
signal_data = self.results[signal]
files = list(signal_data.keys())
contents = list(signal_data.values())
# 创建列框架
for i, (file, content) in enumerate(zip(files, contents)):
col_frame = ttk.Frame(self.compare_container)
col_frame.grid(row=0, column=i, sticky="nsew", padx=5, pady=5)
self.compare_container.columnconfigure(i, weight=1)
# 文件名标签
file_label = ttk.Label(col_frame, text=file, font=("Arial", 10, "bold"))
file_label.pack(fill=tk.X, pady=(0, 5))
# 文本区域
text_area = scrolledtext.ScrolledText(col_frame, wrap=tk.WORD, width=30, height=15)
text_area.insert(tk.INSERT, content)
text_area.configure(state="disabled")
text_area.pack(fill=tk.BOTH, expand=True)
# 保存引用
self.text_panes[file] = text_area
def highlight_differences(self):
"""高亮显示文本差异"""
if not self.text_panes:
return
# 获取所有行内容
all_contents = []
for text_area in self.text_panes.values():
text_area.configure(state="normal")
text = text_area.get("1.0", tk.END).strip()
text_area.configure(state="disabled")
all_contents.append(text)
# 如果所有内容相同，则不需要高亮
if len(set(all_contents)) == 1:
self.status_var.set("所有文件行内容完全一致")
return
# 使用第一个文件作为基准
base_text = all_contents[0]
# 对比并高亮差异
for i, (file, text_area) in enumerate(self.text_panes.items()):
if i == 0: # 基准文件不需要处理
continue
text_area.configure(state="normal")
text_area.tag_configure("diff", background=self.highlight_color)
# 清除之前的高亮
text_area.tag_remove("diff", "1.0", tk.END)
# 获取当前文本
compare_text = text_area.get("1.0", tk.END).strip()
# 使用序列匹配器查找差异
s = SequenceMatcher(None, base_text, compare_text)
# 高亮差异部分
for tag in s.get_opcodes():
opcode = tag[0]
start = tag[3]
end = tag[4]
if opcode != "equal":
# 添加高亮标签
text_area.tag_add("diff", f"1.0+{start}c", f"1.0+{end}c")
text_area.configure(state="disabled")
self.status_var.set("差异已高亮显示")
def choose_color(self):
"""选择高亮颜色"""
color = askcolor(title="选择高亮颜色", initialcolor=self.highlight_color)
if color[1]:
self.highlight_color = color[1]
self.color_btn.configure(bg=self.highlight_color)
def export_report(self):
"""导出差异报告"""
if not self.results:
messagebox.showwarning("警告", "没有可导出的结果")
return
try:
# 创建报告数据结构
report_data = []
for signal, files_data in self.results.items():
for file, content in files_data.items():
report_data.append({
"信号": signal,
"文件": file,
"行内容": content
})
# 转换为DataFrame
df = pd.DataFrame(report_data)
# 保存到Excel
save_path = filedialog.asksaveasfilename(
defaultextension=".xlsx",
filetypes=[("Excel文件", "*.xlsx")],
title="保存差异报告"
)
if save_path:
df.to_excel(save_path, index=False)
self.status_var.set(f"报告已保存到: {save_path}")
except Exception as e:
messagebox.showerror("错误", f"导出报告失败: {str(e)}")
def clear_cache(self):
"""清除缓存"""
try:
for file in os.listdir(self.cache_dir):
if file.endswith(".cache"):
os.remove(os.path.join(self.cache_dir, file))
self.file_cache = {}
self.column_cache = {}
self.status_var.set("缓存已清除")
except Exception as e:
self.status_var.set(f"清除缓存失败: {str(e)}")
def manual_column_select(self):
"""手动指定列名位置"""
if not self.files:
messagebox.showinfo("提示", "请先选择文件夹")
return
# 创建手动选择窗口
manual_window = tk.Toplevel(self.root)
manual_window.title("手动指定列名位置")
manual_window.geometry("400x300")
# 文件选择
ttk.Label(manual_window, text="选择文件:").pack(pady=(10, 5))
file_var = tk.StringVar()
file_combo = ttk.Combobox(manual_window, textvariable=file_var,
values=[os.path.basename(f) for f in self.files])
file_combo.pack(fill=tk.X, padx=20, pady=5)
file_combo.current(0)
# 行号输入
ttk.Label(manual_window, text="列名行号:").pack(pady=(10, 5))
row_var = tk.StringVar(value="1")
row_entry = ttk.Entry(manual_window, textvariable=row_var)
row_entry.pack(fill=tk.X, padx=20, pady=5)
# 列号输入
ttk.Label(manual_window, text="信号列号:").pack(pady=(10, 5))
col_var = tk.StringVar(value="1")
col_entry = ttk.Entry(manual_window, textvariable=col_var)
col_entry.pack(fill=tk.X, padx=20, pady=5)
# 确认按钮
def confirm_selection():
try:
file_idx = file_combo.current()
file_path = self.files[file_idx]
header_row = int(row_var.get())
signal_col = int(col_var.get())
# 保存到缓存
header_info = {"header_row": header_row, "signal_col": signal_col}
self.save_header_cache(file_path, header_info)
messagebox.showinfo("成功", f"已为 {os.path.basename(file_path)} 设置列名位置：行{header_row} 列{signal_col}")
manual_window.destroy()
except Exception as e:
messagebox.showerror("错误", f"无效输入: {str(e)}")
ttk.Button(manual_window, text="确认", command=confirm_selection).pack(pady=20)
if __name__ == "__main__":
root = tk.Tk()
app = EnhancedSignalComparator(root)
root.mainloop()
处理速度还是很慢，甚至没有之前的处理速度快，对于大文件有没有更好的处理方法？最好能在30s内完成搜索并展示结果
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本文介绍了一个使用ExtJS实现的AJAX同步请求方法，并展示了如何获取JSON数据及对其进行格式化处理后加载到ExtJS的数据存储(store)中。
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