1.智能路径处理：自动识别并修正文件扩展名，根据转换类型自动建议目标路径，实时路径格式验证，自动补全缺失的文件扩展名。

2.增强型预览功能：使用pandastable库实现表格预览，第三方模块自己安装一下，自动加载前10行数据，支持实时预览更新，自动调整列宽，SQLite表名自动检测。

pip install pandastable

3.改进的UI交互：分栏式布局（左侧控制/右侧预览），自动保存路径建议，智能表名检测（SQLite），实时错误反馈，一键清空预览。

4.使用说明：选择转换类型，浏览选择源文件（自动生成目标路径建议），查看右侧数据预览确认数据正确性，（数据库转换需要输入/选择表名），点击"开始转换"按钮

# -*- coding: utf-8 -*-
# @Author : 小红牛
# 微信公众号：WdPython
import os
import tkinter as tk
from tkinter import ttk, filedialog, messagebox
from tkinter.simpledialog import askstring
import sqlite3
import pandas as pd
from pandastable import Tableclass DataConverterApp:def __init__(self, root):self.root = rootself.root.title("智能数据转换工具1.0")self.root.geometry("1200x700")# 初始化变量self.source_path = tk.StringVar()self.target_path = tk.StringVar()self.table_name = tk.StringVar()self.conversion_type = tk.StringVar(value="excel2json")# 文件类型映射self.file_extensions = {"excel": ("Excel文件", ".xlsx"),"json": ("JSON文件", ".json"),"csv": ("CSV文件", ".csv"),"sqlite": ("SQLite数据库", ".db")}# 创建界面self.create_widgets()self.setup_preview_table()def setup_preview_table(self):"""初始化数据预览表格"""self.preview_frame = ttk.Frame(self.preview_container)self.preview_frame.pack(fill=tk.BOTH, expand=True)self.ptable = Table(self.preview_frame, showtoolbar=False, showstatusbar=True)self.ptable.show()def create_widgets(self):# 主容器main_frame = ttk.Frame(self.root, padding=20)main_frame.pack(fill=tk.BOTH, expand=True)# 左侧控制面板control_frame = ttk.Frame(main_frame, width=400)control_frame.pack(side=tk.LEFT, fill=tk.Y)# 右侧预览面板self.preview_container = ttk.LabelFrame(main_frame, text="数据预览", padding=10)self.preview_container.pack(side=tk.RIGHT, fill=tk.BOTH, expand=True)# 转换类型选择type_frame = ttk.LabelFrame(control_frame, text="转换类型", padding=10)type_frame.pack(fill=tk.X, pady=5)conversion_types = [("Excel → JSON", "excel2json"),("JSON → Excel", "json2excel"),("CSV → JSON", "csv2json"),("JSON → CSV", "json2csv"),("SQLite → Excel", "sqlite2excel"),("Excel → SQLite", "excel2sqlite"),("SQLite → CSV", "sqlite2csv"),("CSV → SQLite", "csv2sqlite")]for text, value in conversion_types:rb = ttk.Radiobutton(type_frame, text=text, variable=self.conversion_type,value=value, command=self.update_ui)rb.pack(anchor=tk.W, pady=2)# 源文件设置source_frame = ttk.LabelFrame(control_frame, text="源文件设置", padding=10)source_frame.pack(fill=tk.X, pady=5)ttk.Label(source_frame, text="源文件路径:").pack(anchor=tk.W)ttk.Entry(source_frame, textvariable=self.source_path, width=50).pack(side=tk.LEFT, fill=tk.X, expand=True)ttk.Button(source_frame, text="浏览...", command=self.browse_source).pack(side=tk.RIGHT)# 目标文件设置target_frame = ttk.LabelFrame(control_frame, text="目标设置", padding=10)target_frame.pack(fill=tk.X, pady=5)ttk.Label(target_frame, text="目标路径:").pack(anchor=tk.W)ttk.Entry(target_frame, textvariable=self.target_path, width=50).pack(side=tk.LEFT, fill=tk.X, expand=True)ttk.Button(target_frame, text="浏览...", command=self.browse_target).pack(side=tk.RIGHT)# 数据库表名设置self.table_frame = ttk.LabelFrame(control_frame, text="数据库设置", padding=10)ttk.Label(self.table_frame, text="表名:").pack(side=tk.LEFT)ttk.Entry(self.table_frame, textvariable=self.table_name).pack(side=tk.LEFT, fill=tk.X, expand=True)# 操作按钮btn_frame = ttk.Frame(control_frame)btn_frame.pack(fill=tk.X, pady=10)ttk.Button(btn_frame, text="开始转换", command=self.start_conversion).pack(side=tk.LEFT, padx=5)ttk.Button(btn_frame, text="清空预览", command=self.clear_preview).pack(side=tk.LEFT, padx=5)ttk.Button(btn_frame, text="退出", command=self.root.quit).pack(side=tk.RIGHT, padx=5)# 绑定路径变化事件self.source_path.trace_add("write", self.update_preview)self.table_name.trace_add("write", self.update_preview)self.update_ui()def get_conversion_info(self):"""获取当前转换类型信息"""ct = self.conversion_type.get()source_type = ct.split("2")[0]target_type = ct.split("2")[1]return source_type, target_typedef update_ui(self):"""更新界面元素"""source_type, target_type = self.get_conversion_info()# 更新数据库设置可见性if "sqlite" in self.conversion_type.get():self.table_frame.pack(fill=tk.X, pady=5)else:self.table_frame.pack_forget()# 自动更新目标路径后缀current_target = self.target_path.get()if current_target:base, _ = os.path.splitext(current_target)new_ext = self.file_extensions[target_type][1]self.target_path.set(f"{base}{new_ext}")def browse_source(self):"""选择源文件"""source_type, _ = self.get_conversion_info()file_type = self.file_extensions[source_type]path = filedialog.askopenfilename(title="选择源文件",filetypes=[file_type, ("所有文件", "*.*")])if path:self.source_path.set(path)self.auto_suggest_target_path(path)def auto_suggest_target_path(self, source_path):"""自动生成目标路径建议"""source_type, target_type = self.get_conversion_info()base = os.path.splitext(source_path)[0]new_ext = self.file_extensions[target_type][1]suggested_path = f"{base}_converted{new_ext}"self.target_path.set(suggested_path)def browse_target(self):"""选择目标路径"""_, target_type = self.get_conversion_info()file_type = self.file_extensions[target_type]path = filedialog.asksaveasfilename(title="保存目标文件",defaultextension=file_type[1],filetypes=[file_type, ("所有文件", "*.*")])if path:self.target_path.set(path)def clear_preview(self):"""清空预览"""self.ptable.clearTable()self.ptable.model.df = pd.DataFrame()self.ptable.redraw()def load_preview_data(self):"""加载预览数据"""source_path = self.source_path.get()if not source_path:return Nonetry:source_type, _ = self.get_conversion_info()if source_type == "excel":return pd.read_excel(source_path, nrows=10)elif source_type == "csv":return pd.read_csv(source_path, nrows=10)elif source_type == "json":return pd.read_json(source_path).head(10)elif source_type == "sqlite":conn = sqlite3.connect(source_path)table_name = self.table_name.get() or self.detect_table_name(conn)if table_name:return pd.read_sql_query(f"SELECT * FROM {table_name} LIMIT 10", conn)return Noneexcept Exception as e:messagebox.showerror("预览错误", f"无法加载数据: {str(e)}")return Nonedef detect_table_name(self, conn):"""自动检测数据库表名"""cursor = conn.cursor()cursor.execute("SELECT name FROM sqlite_master WHERE type='table';")tables = cursor.fetchall()if tables:return askstring("选择表", "检测到多个表，请选择:", initialvalue=tables[0][0])return Nonedef update_preview(self, *args):"""更新数据预览"""df = self.load_preview_data()if df is not None:self.ptable.model.df = dfself.ptable.redraw()self.ptable.autoResizeColumns()def start_conversion(self):"""执行转换操作"""source_path = self.source_path.get()target_path = self.target_path.get()conversion_type = self.conversion_type.get()table_name = self.table_name.get()try:# 自动修正目标路径后缀_, target_type = self.get_conversion_info()target_ext = self.file_extensions[target_type][1]if not target_path.endswith(target_ext):target_path = f"{os.path.splitext(target_path)[0]}{target_ext}"self.target_path.set(target_path)# 执行转换逻辑if conversion_type == "excel2json":df = pd.read_excel(source_path)df.to_json(target_path, orient='records', indent=4)elif conversion_type == "json2excel":df = pd.read_json(source_path)df.to_excel(target_path, index=False)elif conversion_type == "csv2json":df = pd.read_csv(source_path)df.to_json(target_path, orient='records', indent=4)elif conversion_type == "json2csv":df = pd.read_json(source_path)df.to_csv(target_path, index=False)elif conversion_type == "sqlite2excel":conn = sqlite3.connect(source_path)table_name = table_name or self.detect_table_name(conn)df = pd.read_sql_query(f"SELECT * FROM {table_name}", conn)df.to_excel(target_path, index=False)elif conversion_type == "excel2sqlite":df = pd.read_excel(source_path)conn = sqlite3.connect(target_path)df.to_sql(table_name or "Sheet1", conn, if_exists='replace', index=False)elif conversion_type == "sqlite2csv":conn = sqlite3.connect(source_path)table_name = table_name or self.detect_table_name(conn)df = pd.read_sql_query(f"SELECT * FROM {table_name}", conn)df.to_csv(target_path, index=False)elif conversion_type == "csv2sqlite":df = pd.read_csv(source_path)conn = sqlite3.connect(target_path)df.to_sql(table_name or "CSV_Data", conn, if_exists='replace', index=False)messagebox.showinfo("成功", f"文件已成功保存到:\n{target_path}")self.update_preview()except Exception as e:messagebox.showerror("错误", f"转换失败: {str(e)}")if __name__ == "__main__":root = tk.Tk()app = DataConverterApp(root)root.mainloop()

完毕！！感谢您的收看

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