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C:\Users\cheny>npm list -global npm ERR! code ENOENT npm ERR! syscall lstat npm ERR! path D:\Program Files\nodejs\node_global npm ERR! errno -4058 npm ERR! enoent ENOENT: no such file or directory, lstat 'D:\Program Files\nodejs\node_global' npm ERR! enoent This is related to npm not being able to find a file. npm ERR! enoent npm ERR! A complete log of this run can be found in: D:\Program Files\nodejs\node_cache\_logs\2025-03-12T12_30_02_037Z-debug-0.log

时间: 2025-04-09 17:30:24 浏览: 56
<think>好的,我现在需要解决用户遇到的npm全局列表命令报错ENOENT的问题。用户提到运行npm list -g时出现错误,提示找不到文件或目录,特别是lstat 'node_global'的问题。我需要先理解这个错误的原因,然后找出解决方法。 首先,根据用户提供的引用内容,比如引用[3]中提到在安装npm包时可能因为依赖或路径问题导致ENOENT错误,可能用户的npm全局安装路径配置有问题。另外,引用[5]提到鸿蒙构建时的类似错误,可能与当前工作目录有关,但这里用户的问题更可能是全局模块路径的问题。 接下来,我需要考虑可能的原因。npm在运行全局命令时,会查找全局安装的模块路径。如果这个路径没有正确设置,或者node_modules目录缺失,就会出现ENOENT错误。可能用户之前更改过npm的全局安装路径,或者权限问题导致无法访问该路径。 根据经验,常见的解决步骤包括检查npm的全局配置,确认全局模块路径是否存在,以及修复权限或重新安装Node.js。此外,用户可能需要使用管理员权限运行命令,或者手动创建缺失的目录。 另外,用户提供的引用[3]中提到了使用sudo安装npm和yarn,可能涉及到权限问题,因此需要检查用户是否有权限访问全局安装目录。同时,引用[4]和[5]提到uv_cwd错误,这可能与当前目录不存在有关,但这里用户的问题更可能在于全局路径配置错误。 总结可能的解决方案:首先检查npm的全局路径配置,使用npm config get prefix查看,确认该路径下是否存在node_modules目录。如果不存在,可能需要手动创建或重新配置npm的全局路径。此外,修复目录权限或重新安装Node.js也可能有效。 现在需要将这些步骤整理成用户容易理解的指导,分步骤说明,并确保引用相关的参考资料。同时,要生成相关问题,帮助用户进一步排查问题。</think>要解决`npm list -g`报错`ENOENT: no such file or directory lstat node_global`的问题,请按以下步骤排查: --- ### 1. 检查npm全局安装路径配置 通过命令查看当前全局模块的安装路径: ```bash npm config get prefix ``` 正常情况下应输出类似`/usr/local`(Linux/macOS)或`C:\Program Files\nodejs`(Windows)的路径。若路径包含`node_global`但实际目录不存在,需手动创建目录: ```bash sudo mkdir -p $(npm config get prefix)/lib/node_modules # Linux/macOS ``` --- ### 2. 修复全局模块目录权限 若路径存在但报权限错误,需赋予目录访问权限(Linux/macOS): ```bash sudo chown -R $USER $(npm config get prefix)/lib/node_modules ``` --- ### 3. 重置npm全局路径(推荐方案) 通过以下命令将全局模块路径设为默认值: ```bash npm config set prefix /usr/local # Linux/macOS npm config set prefix "$APPDATA\npm" # Windows ``` 然后重新安装全局模块[^3]。 --- ### 4. 重装Node.js 若问题持续,建议彻底卸载Node.js后重新安装,确保环境变量和路径配置正确[^3][^5]。 --- ### 5. 验证修复结果 运行以下命令检查全局模块列表是否正常显示: ```bash npm list -g --depth=0 ``` ---
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# -*- coding: utf-8 -*- import pandas as pd import numpy as np import matplotlib.pyplot as plt import matplotlib as mpl from scipy import stats import sys import os # ===== 中文字体支持 ===== plt.rcParams['font.sans-serif'] = ['SimHei', 'Microsoft YaHei'] # 解决中文显示问题 plt.rcParams['axes.unicode_minus'] = False # 修复负号显示 # ===== 数据预处理 ===== def preprocess_data(data): """ 预处理近6年月度水沙通量数据 输入:DataFrame格式原始数据(需包含日期、月均流量、月均含沙量) 输出:处理后的月度时间序列(月流量均值、月排沙量均值) """ # 修复链式赋值警告(直接赋值替代inplace) data = data.copy() data['月均流量'] = data['月均流量'].fillna(data['月均流量'].mean()) data['月均含沙量'] = data['月均含沙量'].fillna(data['月均含沙量'].mean()) # 计算月排沙量(亿吨)[1](@ref) data['日期'] = pd.to_datetime(data['日期']) # 确保日期格式正确 days_in_month = data['日期'].dt.days_in_month data['月排沙量'] = data['月均流量'] * data['月均含沙量'] * days_in_month * 86400 * 1e-9 # 按月聚合(使用'ME'替代弃用的'M')[1,9](@ref) monthly_data = data.groupby(pd.Grouper(key='日期', freq='ME')).agg({ '月均流量': 'mean', '月排沙量': 'sum' }).reset_index() return monthly_data # ===== 累积距平法 ===== def cumulative_anomaly(series): """ 计算累积距平序列 输入:时间序列(月流量均值或月排沙量) 输出:累积距平序列、突变点索引 """ try: if series.size == 0 or series.isnull().all(): raise ValueError("输入序列为空或全为NaN值") mean_val = series.mean() anomalies = series - mean_val cum_anomaly = anomalies.cumsum() # 检测突变点(累积距平曲线一阶差分变号点)[5](@ref) diff_sign = np.sign(np.diff(cum_anomaly)) turning_points = np.where(np.diff(diff_sign) != 0)[0] + 1 return cum_anomaly, turning_points except Exception as e: print(f"累积距平计算错误: {str(e)}") return pd.Series(dtype=float), np.array([]) # ===== Mann-Kendall突变检验 ===== def mk_test(series, alpha=0.05): """ Mann-Kendall突变检验 输入:时间序列、显著性水平alpha 输出:UF统计量序列、UB统计量序列、突变点位置 """ n = len(series) UF = np.zeros(n) s = 0 # 计算UF统计量(修正索引范围)[1,9](@ref) for i in range(1, n): for j in range(i): if series[i] > series[j]: s += 1 elif series[i] < series[j]: s -= 1 E = i * (i - 1) / 4 Var = i * (i - 1) * (2 * i + 5) / 72 UF[i] = (s - E) / np.sqrt(Var) if Var > 0 else 0 # 计算UB统计量(确保与UF等长)[5](@ref) UB = -UF[::-1] # 关键修复:直接反向取负 # 检测显著突变点(UF与UB在置信区间内的交点)[1](@ref) critical_value = stats.norm.ppf(1 - alpha / 2) cross_points = [] for i in range(1, n): if (UF[i] * UB[i] < 0) and (abs(UF[i]) > critical_value): cross_points.append(i) return UF, UB, np.array(cross_points) # ===== 主程序 ===== if __name__ == "__main__": try: print("=" * 60) print("水沙通量突变性分析程序启动...") print("=" * 60) # 1. 数据加载(替换为实际数据路径)[1](@ref) # 模拟数据(实际使用时替换此部分) dates = pd.date_range('2016-01-01', '2021-12-31', freq='ME') np.random.seed(42) flow = np.random.normal(loc=1000, scale=200, size=len(dates)) sand = np.random.normal(loc=2.5, scale=0.8, size=len(dates)) raw_data = pd.DataFrame({ '日期': dates, '月均流量': flow, '月均含沙量': sand }) print("✅ 模拟数据生成完成(共{}条记录)".format(len(raw_data))) # 2. 数据预处理 processed_data = preprocess_data(raw_data) print("✅ 数据预处理完成(含排沙量计算)") # 3. 突变性分析(以月流量为例) flow_series = processed_data['月均流量'].dropna() if flow_series.size == 0: raise ValueError("流量序列为空,请检查数据!") # 3.1 累积距平法 cum_anomaly, turning_points = cumulative_anomaly(flow_series) print("📊 累积距平法检测到{}个突变点".format(len(turning_points))) # 3.2 M-K检验 UF, UB, cross_points = mk_test(flow_series.values) print("📈 MK检验检测到{}个显著突变点".format(len(cross_points))) # 4. 可视化 fig, (ax1, ax2) = plt.subplots(2, 1, figsize=(12, 10), dpi=100) # 4.1 累积距平曲线 ax1.set_title('月流量累积距平曲线', fontsize=14) ax1.plot(processed_data['日期'], cum_anomaly, 'b-', label='累积距平') ax1.set_ylabel('累积距平值', fontsize=12) ax1.grid(True, linestyle='--', alpha=0.7) # 标记突变点 if len(turning_points) > 0: ax1.scatter( processed_data['日期'].iloc[turning_points], cum_anomaly.iloc[turning_points], c='red', s=80, label='突变点' ) for idx in turning_points: ax1.annotate( processed_data['日期'].dt.strftime('%Y-%m').iloc[idx], (processed_data['日期'].iloc[idx], cum_anomaly.iloc[idx]), xytext=(0, 15), textcoords='offset points', ha='center', fontsize=9 ) ax1.legend() # 4.2 M-K检验曲线 ax2.set_title('Mann-Kendall突变检验', fontsize=14) ax2.plot(processed_data['日期'], UF, 'r-', label='UF统计量') ax2.plot(processed_data['日期'], UB, 'b--', label='UB统计量') ax2.axhline(y=1.96, color='gray', linestyle='--', label='95%置信区间') ax2.axhline(y=-1.96, color='gray', linestyle='--') ax2.axhline(y=0, color='black', linewidth=0.8) ax2.set_ylabel('统计量值', fontsize=12) ax2.set_xlabel('日期', fontsize=12) ax2.grid(True, linestyle='--', alpha=0.7) # 标记显著突变点 if len(cross_points) > 0: ax2.scatter( processed_data['日期'].iloc[cross_points], UF[cross_points], c='black', s=100, label='显著突变点' ) for idx in cross_points: ax2.annotate( processed_data['日期'].dt.strftime('%Y-%m').iloc[idx], (processed_data['日期'].iloc[idx], UF[idx]), xytext=(0, 10), textcoords='offset points', ha='center', fontsize=9 ) ax2.legend() plt.tight_layout() # 5. 保存结果 output_path = os.path.join(os.getcwd(), '水沙通量突变性分析结果.png') plt.savefig(output_path, dpi=300, bbox_inches='tight') print("=" * 60) print(f"✅ 分析结果已保存至: {output_path}") print("=" * 60) # 6. 结果显示 plt.show() except Exception as e: exc_type, exc_obj, exc_tb = sys.exc_info() print("❌" * 60) print(f"程序异常终止 (行:{exc_tb.tb_lineno}): {str(e)}") print("❌" * 60) 报错内容·如下E:\Anaconda\python.exe C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py 生成模拟数据... 开始数据预处理... 数据预处理完成 E:\Anaconda\Lib\site-packages\statsmodels\tsa\seasonal.py:360: UserWarning: Glyph 27969 (\N{CJK UNIFIED IDEOGRAPH-6D41}) missing from font(s) DejaVu Sans. fig.tight_layout() E:\Anaconda\Lib\site-packages\statsmodels\tsa\seasonal.py:360: UserWarning: Glyph 37327 (\N{CJK UNIFIED IDEOGRAPH-91CF}) missing from font(s) DejaVu Sans. fig.tight_layout() E:\Anaconda\Lib\site-packages\statsmodels\tsa\seasonal.py:360: UserWarning: Glyph 21547 (\N{CJK UNIFIED IDEOGRAPH-542B}) missing from font(s) DejaVu Sans. fig.tight_layout() E:\Anaconda\Lib\site-packages\statsmodels\tsa\seasonal.py:360: UserWarning: Glyph 27801 (\N{CJK UNIFIED IDEOGRAPH-6C99}) missing from font(s) DejaVu Sans. fig.tight_layout() E:\Anaconda\Lib\site-packages\statsmodels\tsa\seasonal.py:360: UserWarning: Glyph 37327 (\N{CJK UNIFIED IDEOGRAPH-91CF}) missing from font(s) 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font(s) DejaVu Sans. plt.tight_layout() C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:149: UserWarning: Glyph 20998 (\N{CJK UNIFIED IDEOGRAPH-5206}) missing from font(s) DejaVu Sans. plt.tight_layout() C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:149: UserWarning: Glyph 35299 (\N{CJK UNIFIED IDEOGRAPH-89E3}) missing from font(s) DejaVu Sans. plt.tight_layout() C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:150: UserWarning: Glyph 21547 (\N{CJK UNIFIED IDEOGRAPH-542B}) missing from font(s) DejaVu Sans. plt.savefig('季节性分解.png', dpi=300) C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:150: UserWarning: Glyph 27801 (\N{CJK UNIFIED IDEOGRAPH-6C99}) missing from font(s) DejaVu Sans. plt.savefig('季节性分解.png', dpi=300) C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:150: UserWarning: Glyph 37327 (\N{CJK UNIFIED IDEOGRAPH-91CF}) missing from font(s) DejaVu Sans. plt.savefig('季节性分解.png', dpi=300) C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:150: UserWarning: Glyph 23395 (\N{CJK UNIFIED IDEOGRAPH-5B63}) missing from font(s) DejaVu Sans. plt.savefig('季节性分解.png', dpi=300) C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:150: UserWarning: Glyph 33410 (\N{CJK UNIFIED IDEOGRAPH-8282}) missing from font(s) DejaVu Sans. plt.savefig('季节性分解.png', dpi=300) C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:150: UserWarning: Glyph 24615 (\N{CJK UNIFIED IDEOGRAPH-6027}) missing from font(s) DejaVu Sans. plt.savefig('季节性分解.png', dpi=300) C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:150: UserWarning: Glyph 20998 (\N{CJK UNIFIED IDEOGRAPH-5206}) missing from font(s) DejaVu Sans. plt.savefig('季节性分解.png', dpi=300) C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:150: UserWarning: Glyph 35299 (\N{CJK UNIFIED IDEOGRAPH-89E3}) missing from font(s) DejaVu Sans. plt.savefig('季节性分解.png', dpi=300) C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:151: UserWarning: Glyph 27969 (\N{CJK UNIFIED IDEOGRAPH-6D41}) missing from font(s) DejaVu Sans. plt.show() C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:151: UserWarning: Glyph 37327 (\N{CJK UNIFIED IDEOGRAPH-91CF}) missing from font(s) DejaVu Sans. plt.show() C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:151: UserWarning: Glyph 23395 (\N{CJK UNIFIED IDEOGRAPH-5B63}) missing from font(s) DejaVu Sans. plt.show() C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:151: UserWarning: Glyph 33410 (\N{CJK UNIFIED IDEOGRAPH-8282}) missing from font(s) DejaVu Sans. plt.show() C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:151: UserWarning: Glyph 24615 (\N{CJK UNIFIED IDEOGRAPH-6027}) missing from font(s) DejaVu Sans. plt.show() C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:151: UserWarning: Glyph 20998 (\N{CJK UNIFIED IDEOGRAPH-5206}) missing from font(s) DejaVu Sans. plt.show() C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:151: UserWarning: Glyph 35299 (\N{CJK UNIFIED IDEOGRAPH-89E3}) missing from font(s) DejaVu Sans. plt.show() C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:151: UserWarning: Glyph 21547 (\N{CJK UNIFIED IDEOGRAPH-542B}) missing from font(s) DejaVu Sans. plt.show() C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:151: UserWarning: Glyph 27801 (\N{CJK UNIFIED IDEOGRAPH-6C99}) missing from font(s) DejaVu Sans. plt.show() C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:129: UserWarning: Glyph 26085 (\N{CJK UNIFIED IDEOGRAPH-65E5}) missing from font(s) DejaVu Sans. plt.tight_layout() C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:129: UserWarning: Glyph 26399 (\N{CJK UNIFIED IDEOGRAPH-671F}) missing from font(s) DejaVu Sans. plt.tight_layout() C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:129: UserWarning: Glyph 25968 (\N{CJK UNIFIED IDEOGRAPH-6570}) missing from font(s) DejaVu Sans. plt.tight_layout() C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:129: UserWarning: Glyph 20540 (\N{CJK UNIFIED IDEOGRAPH-503C}) missing from font(s) DejaVu Sans. plt.tight_layout() 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plt.tight_layout() C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:129: UserWarning: Glyph 24207 (\N{CJK UNIFIED IDEOGRAPH-5E8F}) missing from font(s) DejaVu Sans. plt.tight_layout() C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:129: UserWarning: Glyph 21015 (\N{CJK UNIFIED IDEOGRAPH-5217}) missing from font(s) DejaVu Sans. plt.tight_layout() C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:129: UserWarning: Glyph 23610 (\N{CJK UNIFIED IDEOGRAPH-5C3A}) missing from font(s) DejaVu Sans. plt.tight_layout() C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:129: UserWarning: Glyph 24230 (\N{CJK UNIFIED IDEOGRAPH-5EA6}) missing from font(s) DejaVu Sans. plt.tight_layout() C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:129: UserWarning: Glyph 22825 (\N{CJK UNIFIED IDEOGRAPH-5929}) missing from font(s) DejaVu Sans. plt.tight_layout() C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:129: UserWarning: Glyph 23567 (\N{CJK UNIFIED IDEOGRAPH-5C0F}) missing from font(s) DejaVu Sans. plt.tight_layout() C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:129: UserWarning: Glyph 27874 (\N{CJK UNIFIED IDEOGRAPH-6CE2}) missing from font(s) DejaVu Sans. plt.tight_layout() C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:129: UserWarning: Glyph 31995 (\N{CJK UNIFIED IDEOGRAPH-7CFB}) missing from font(s) DejaVu Sans. plt.tight_layout() C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:129: UserWarning: Glyph 23454 (\N{CJK UNIFIED IDEOGRAPH-5B9E}) missing from font(s) DejaVu Sans. plt.tight_layout() C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:129: UserWarning: Glyph 37096 (\N{CJK UNIFIED IDEOGRAPH-90E8}) missing from font(s) DejaVu Sans. plt.tight_layout() C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:129: UserWarning: Glyph 31561 (\N{CJK UNIFIED IDEOGRAPH-7B49}) missing from font(s) DejaVu Sans. plt.tight_layout() C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:129: UserWarning: Glyph 32447 (\N{CJK UNIFIED IDEOGRAPH-7EBF}) missing from font(s) DejaVu Sans. plt.tight_layout() C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:129: UserWarning: Glyph 22270 (\N{CJK UNIFIED IDEOGRAPH-56FE}) missing from font(s) DejaVu Sans. plt.tight_layout() C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:129: UserWarning: Glyph 26041 (\N{CJK UNIFIED IDEOGRAPH-65B9}) missing from font(s) DejaVu Sans. plt.tight_layout() C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:129: UserWarning: Glyph 24046 (\N{CJK UNIFIED IDEOGRAPH-5DEE}) missing from font(s) DejaVu Sans. plt.tight_layout() C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:129: UserWarning: Glyph 20998 (\N{CJK UNIFIED IDEOGRAPH-5206}) missing from font(s) DejaVu Sans. plt.tight_layout() C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:129: UserWarning: Glyph 26512 (\N{CJK UNIFIED IDEOGRAPH-6790}) missing from font(s) DejaVu Sans. plt.tight_layout() C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:129: UserWarning: Glyph 20027 (\N{CJK UNIFIED IDEOGRAPH-4E3B}) missing from font(s) DejaVu Sans. plt.tight_layout() C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:129: UserWarning: Glyph 21608 (\N{CJK UNIFIED IDEOGRAPH-5468}) missing from font(s) DejaVu Sans. plt.tight_layout() C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:130: UserWarning: Glyph 25968 (\N{CJK UNIFIED IDEOGRAPH-6570}) missing from font(s) DejaVu Sans. plt.savefig(f'{title}_小波分析.png', dpi=300) C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:130: UserWarning: Glyph 20540 (\N{CJK UNIFIED IDEOGRAPH-503C}) missing from font(s) DejaVu Sans. plt.savefig(f'{title}_小波分析.png', dpi=300) C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:130: UserWarning: Glyph 27969 (\N{CJK UNIFIED IDEOGRAPH-6D41}) missing from font(s) DejaVu Sans. plt.savefig(f'{title}_小波分析.png', dpi=300) C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:130: UserWarning: Glyph 37327 (\N{CJK UNIFIED IDEOGRAPH-91CF}) missing from font(s) DejaVu Sans. plt.savefig(f'{title}_小波分析.png', dpi=300) C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:130: UserWarning: Glyph 21407 (\N{CJK UNIFIED IDEOGRAPH-539F}) missing from font(s) DejaVu Sans. plt.savefig(f'{title}_小波分析.png', dpi=300) C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:130: UserWarning: Glyph 22987 (\N{CJK UNIFIED IDEOGRAPH-59CB}) missing from font(s) DejaVu Sans. plt.savefig(f'{title}_小波分析.png', dpi=300) C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:130: UserWarning: Glyph 26102 (\N{CJK UNIFIED IDEOGRAPH-65F6}) missing from font(s) DejaVu Sans. plt.savefig(f'{title}_小波分析.png', dpi=300) C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:130: UserWarning: Glyph 38388 (\N{CJK UNIFIED IDEOGRAPH-95F4}) missing from font(s) DejaVu Sans. plt.savefig(f'{title}_小波分析.png', dpi=300) C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:130: UserWarning: Glyph 24207 (\N{CJK UNIFIED IDEOGRAPH-5E8F}) missing from font(s) DejaVu Sans. plt.savefig(f'{title}_小波分析.png', dpi=300) 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C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:130: UserWarning: Glyph 37096 (\N{CJK UNIFIED IDEOGRAPH-90E8}) missing from font(s) DejaVu Sans. plt.savefig(f'{title}_小波分析.png', dpi=300) C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:130: UserWarning: Glyph 31561 (\N{CJK UNIFIED IDEOGRAPH-7B49}) missing from font(s) DejaVu Sans. plt.savefig(f'{title}_小波分析.png', dpi=300) C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:130: UserWarning: Glyph 32447 (\N{CJK UNIFIED IDEOGRAPH-7EBF}) missing from font(s) DejaVu Sans. plt.savefig(f'{title}_小波分析.png', dpi=300) C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:130: UserWarning: Glyph 22270 (\N{CJK UNIFIED IDEOGRAPH-56FE}) missing from font(s) DejaVu Sans. plt.savefig(f'{title}_小波分析.png', dpi=300) C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:130: UserWarning: Glyph 26041 (\N{CJK UNIFIED IDEOGRAPH-65B9}) missing from font(s) DejaVu Sans. plt.savefig(f'{title}_小波分析.png', dpi=300) C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:130: UserWarning: Glyph 24046 (\N{CJK UNIFIED IDEOGRAPH-5DEE}) missing from font(s) DejaVu Sans. plt.savefig(f'{title}_小波分析.png', dpi=300) C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:130: UserWarning: Glyph 20998 (\N{CJK UNIFIED IDEOGRAPH-5206}) missing from font(s) DejaVu Sans. plt.savefig(f'{title}_小波分析.png', dpi=300) C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:130: UserWarning: Glyph 26512 (\N{CJK UNIFIED IDEOGRAPH-6790}) missing from font(s) DejaVu Sans. plt.savefig(f'{title}_小波分析.png', dpi=300) C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:130: UserWarning: Glyph 20027 (\N{CJK UNIFIED IDEOGRAPH-4E3B}) missing from font(s) DejaVu Sans. plt.savefig(f'{title}_小波分析.png', dpi=300) C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:130: UserWarning: Glyph 21608 (\N{CJK UNIFIED IDEOGRAPH-5468}) missing from font(s) DejaVu Sans. plt.savefig(f'{title}_小波分析.png', dpi=300) C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:131: UserWarning: Glyph 25968 (\N{CJK UNIFIED IDEOGRAPH-6570}) missing from font(s) DejaVu Sans. plt.show() C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:131: UserWarning: Glyph 20540 (\N{CJK UNIFIED IDEOGRAPH-503C}) missing from font(s) DejaVu Sans. plt.show() C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:131: UserWarning: Glyph 27969 (\N{CJK UNIFIED IDEOGRAPH-6D41}) missing from font(s) DejaVu Sans. plt.show() C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:131: UserWarning: Glyph 37327 (\N{CJK UNIFIED IDEOGRAPH-91CF}) missing from font(s) DejaVu Sans. plt.show() C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:131: UserWarning: Glyph 21407 (\N{CJK UNIFIED IDEOGRAPH-539F}) missing from font(s) DejaVu Sans. plt.show() C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:131: UserWarning: Glyph 22987 (\N{CJK UNIFIED IDEOGRAPH-59CB}) missing from font(s) DejaVu Sans. plt.show() 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E:\Anaconda\python.exe C:\Users\cheny\Desktop\PythonProject2\作业.py 开始处理文件: hydrology_data.csv !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! 处理失败: 文件读取失败: [Errno 2] No such file or directory: 'hydrology_data.csv' !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Traceback (most recent call last): File "C:\Users\cheny\Desktop\PythonProject2\作业.py", line 22, in preprocess_hydrology_data encoding = detect_encoding(file_path) ^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\cheny\Desktop\PythonProject2\作业.py", line 12, in detect_encoding with open(file_path, 'rb') as f: ^^^^^^^^^^^^^^^^^^^^^ FileNotFoundError: [Errno 2] No such file or directory: 'hydrology_data.csv' During handling of the above exception, another exception occurred: Traceback (most recent call last): File "C:\Users\cheny\Desktop\PythonProject2\作业.py", line 27, in preprocess_hydrology_data df = pd.read_excel(file_path) ^^^^^^^^^^^^^^^^^^^^^^^^ File "E:\Anaconda\Lib\site-packages\pandas\io\excel\_base.py", line 495, in read_excel io = ExcelFile( ^^^^^^^^^^ File "E:\Anaconda\Lib\site-packages\pandas\io\excel\_base.py", line 1550, in __init__ ext = inspect_excel_format( ^^^^^^^^^^^^^^^^^^^^^ File "E:\Anaconda\Lib\site-packages\pandas\io\excel\_base.py", line 1402, in inspect_excel_format with get_handle( ^^^^^^^^^^^ File "E:\Anaconda\Lib\site-packages\pandas\io\common.py", line 882, in get_handle handle = open(handle, ioargs.mode) ^^^^^^^^^^^^^^^^^^^^^^^^^ FileNotFoundError: [Errno 2] No such file or directory: 'hydrology_data.csv' During handling of the above exception, another exception occurred: Traceback (most recent call last): File "C:\Users\cheny\Desktop\PythonProject2\作业.py", line 112, in <module> processed_data = preprocess_hydrology_data(input_file) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\cheny\Desktop\PythonProject2\作业.py", line 29, in preprocess_hydrology_data raise ValueError(f"文件读取失败: {str(e)}") ValueError: 文件读取失败: [Errno 2] No such file or directory: 'hydrology_data.csv' 进程已结束,退出代码为 0 为啥报错啊

E:\Anaconda\python.exe C:\Users\cheny\Desktop\PythonProject2\作业.py 开始处理文件: C:\Users\cheny\Desktop\PythonProject2\附件1.xlsx 原始数据维度: (2380, 7) 原始列名: ['年', '月', '日', '时间', '水位(m)', '流量(m3/s)', '含沙量(kg/m3) '] 检测到的时间相关列: ['年', '月', '日', '时间'] 警告: 日期时间列全部转换失败,使用原始时间列备份 !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! 处理失败: index 0 is out of bounds for axis 0 with size 0 !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Traceback (most recent call last): File "C:\Users\cheny\Desktop\PythonProject2\作业.py", line 176, in <module> processed_data = preprocess_hydrology_data(input_file) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\cheny\Desktop\PythonProject2\作业.py", line 135, in preprocess_hydrology_data df[col] = df[col].fillna(df[col].mean()) ~~^^^^^ File "E:\Anaconda\Lib\site-packages\pandas\core\frame.py", line 4078, in __getitem__ return self._get_item_cache(key) ^^^^^^^^^^^^^^^^^^^^^^^^^ File "E:\Anaconda\Lib\site-packages\pandas\core\frame.py", line 4639, in _get_item_cache res = self._ixs(loc, axis=1) ^^^^^^^^^^^^^^^^^^^^^^ File "E:\Anaconda\Lib\site-packages\pandas\core\frame.py", line 4010, in _ixs col_mgr = self._mgr.iget(i) ^^^^^^^^^^^^^^^^^ File "E:\Anaconda\Lib\site-packages\pandas\core\internals\managers.py", line 1017, in iget values = block.iget(self.blklocs[i]) ^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "E:\Anaconda\Lib\site-packages\pandas\core\internals\blocks.py", line 1260, in iget return self.values[i] # type: ignore[index] ~~~~~~~~~~~^^^ IndexError: index 0 is out of bounds for axis 0 with size 0 进程已结束,退出代码为 0

E:\Anaconda\python.exe C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py 生成模拟数据... 开始数据预处理... 数据预处理完成 E:\Anaconda\Lib\site-packages\statsmodels\tsa\seasonal.py:360: UserWarning: Glyph 27969 (\N{CJK UNIFIED IDEOGRAPH-6D41}) missing from font(s) DejaVu Sans. fig.tight_layout() E:\Anaconda\Lib\site-packages\statsmodels\tsa\seasonal.py:360: UserWarning: Glyph 37327 (\N{CJK UNIFIED IDEOGRAPH-91CF}) missing from font(s) DejaVu Sans. fig.tight_layout() E:\Anaconda\Lib\site-packages\statsmodels\tsa\seasonal.py:360: UserWarning: Glyph 21547 (\N{CJK UNIFIED IDEOGRAPH-542B}) missing from font(s) DejaVu Sans. fig.tight_layout() E:\Anaconda\Lib\site-packages\statsmodels\tsa\seasonal.py:360: UserWarning: Glyph 27801 (\N{CJK UNIFIED IDEOGRAPH-6C99}) missing from font(s) DejaVu Sans. fig.tight_layout() E:\Anaconda\Lib\site-packages\statsmodels\tsa\seasonal.py:360: UserWarning: Glyph 37327 (\N{CJK UNIFIED IDEOGRAPH-91CF}) missing from font(s) DejaVu Sans. fig.tight_layout() C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:149: UserWarning: Glyph 21547 (\N{CJK UNIFIED IDEOGRAPH-542B}) missing from font(s) DejaVu Sans. plt.tight_layout() C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:149: UserWarning: Glyph 27801 (\N{CJK UNIFIED IDEOGRAPH-6C99}) missing from font(s) DejaVu Sans. plt.tight_layout() C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:149: UserWarning: Glyph 37327 (\N{CJK UNIFIED IDEOGRAPH-91CF}) missing from font(s) DejaVu Sans. plt.tight_layout() C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:149: UserWarning: Glyph 23395 (\N{CJK UNIFIED IDEOGRAPH-5B63}) missing from font(s) DejaVu Sans. plt.tight_layout() C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:149: UserWarning: Glyph 33410 (\N{CJK UNIFIED IDEOGRAPH-8282}) missing from font(s) DejaVu Sans. plt.tight_layout() C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:149: UserWarning: Glyph 24615 (\N{CJK UNIFIED IDEOGRAPH-6027}) missing from font(s) DejaVu Sans. plt.tight_layout() C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:149: UserWarning: Glyph 20998 (\N{CJK UNIFIED IDEOGRAPH-5206}) missing from font(s) DejaVu Sans. plt.tight_layout() C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:149: UserWarning: Glyph 35299 (\N{CJK UNIFIED IDEOGRAPH-89E3}) missing from font(s) DejaVu Sans. plt.tight_layout() C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:150: UserWarning: Glyph 21547 (\N{CJK UNIFIED IDEOGRAPH-542B}) missing from font(s) DejaVu Sans. plt.savefig('季节性分解.png', dpi=300) C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:150: UserWarning: Glyph 27801 (\N{CJK UNIFIED IDEOGRAPH-6C99}) missing from font(s) DejaVu Sans. plt.savefig('季节性分解.png', dpi=300) C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:150: UserWarning: Glyph 37327 (\N{CJK UNIFIED IDEOGRAPH-91CF}) missing from font(s) DejaVu Sans. plt.savefig('季节性分解.png', dpi=300) C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:150: UserWarning: Glyph 23395 (\N{CJK UNIFIED IDEOGRAPH-5B63}) missing from font(s) DejaVu Sans. plt.savefig('季节性分解.png', dpi=300) C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:150: UserWarning: Glyph 33410 (\N{CJK UNIFIED IDEOGRAPH-8282}) missing from font(s) DejaVu Sans. plt.savefig('季节性分解.png', dpi=300) C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:150: UserWarning: Glyph 24615 (\N{CJK UNIFIED IDEOGRAPH-6027}) missing from font(s) DejaVu Sans. plt.savefig('季节性分解.png', dpi=300) C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:150: UserWarning: Glyph 20998 (\N{CJK UNIFIED IDEOGRAPH-5206}) missing from font(s) DejaVu Sans. plt.savefig('季节性分解.png', dpi=300) C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:150: UserWarning: Glyph 35299 (\N{CJK UNIFIED IDEOGRAPH-89E3}) missing from font(s) DejaVu Sans. plt.savefig('季节性分解.png', dpi=300) C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:151: UserWarning: Glyph 27969 (\N{CJK UNIFIED IDEOGRAPH-6D41}) missing from font(s) DejaVu Sans. plt.show() C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:151: UserWarning: Glyph 37327 (\N{CJK UNIFIED IDEOGRAPH-91CF}) missing from font(s) DejaVu Sans. plt.show() C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:151: UserWarning: Glyph 23395 (\N{CJK UNIFIED IDEOGRAPH-5B63}) missing from font(s) DejaVu Sans. plt.show() C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:151: UserWarning: Glyph 33410 (\N{CJK UNIFIED IDEOGRAPH-8282}) missing from font(s) DejaVu Sans. plt.show() C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:151: UserWarning: Glyph 24615 (\N{CJK UNIFIED IDEOGRAPH-6027}) missing from font(s) DejaVu Sans. plt.show() C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:151: UserWarning: Glyph 20998 (\N{CJK UNIFIED IDEOGRAPH-5206}) missing from font(s) DejaVu Sans. plt.show() C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:151: UserWarning: Glyph 35299 (\N{CJK UNIFIED IDEOGRAPH-89E3}) missing from font(s) DejaVu Sans. plt.show() C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:151: UserWarning: Glyph 21547 (\N{CJK UNIFIED IDEOGRAPH-542B}) missing from font(s) DejaVu Sans. plt.show() C:\Users\cheny\Desktop\PythonProject2\水沙通量周期性模型.py:151: UserWarning: Glyph 27801 (\N{CJK UNIFIED IDEOGRAPH-6C99}) missing from font(s) DejaVu Sans. plt.show() 上面是报错内容 下面是代码 import numpy as np import pandas as pd import matplotlib.pyplot as plt import matplotlib.dates as mdates import pywt from statsmodels.tsa.seasonal import seasonal_decompose from scipy import signal class HydrologicalAnalysis: def __init__(self, data_path=None): """ 水文时间序列分析工具 :param data_path: 数据文件路径(CSV格式) """ self.data = None if data_path: self.load_data(data_path) def load_data(self, file_path): """ 加载水文监测数据 :param file_path: CSV文件路径 """ # 读取数据并处理时间格式 self.data = pd.read_csv(file_path, parse_dates=['时间'], index_col='时间') # 检查必要字段 required_columns = ['水位(m)', '流量(m3/s)', '含沙量(kg/m3)'] if not all(col in self.data.columns for col in required_columns): raise ValueError("数据文件缺少必要列:水位(m), 流量(m3/s), 含沙量(kg/m3)") print(f"成功加载数据:{len(self.data)}条记录") return self.data def preprocess_data(self): """ 数据预处理流程 """ if self.data is None: raise ValueError("未加载数据,请先调用load_data方法") print("开始数据预处理...") # 1. 缺失值处理(前向填充+线性插值) self.data = self.data.ffill().interpolate(method='linear') # 2. 异常值处理(3σ原则) for col in ['流量(m3/s)', '含沙量(kg/m3)']: mean = self.data[col].mean() std = self.data[col].std() self.data[col] = np.where( (self.data[col] < mean - 3 * std) | (self.data[col] > mean + 3 * std), mean, self.data[col] ) # 3. 重采样为日数据 daily_data = self.data.resample('D').mean() print("数据预处理完成") return daily_data def seasonal_decomposition(self, series, period=12): """ 时间序列季节性分解 :param series: 时间序列数据 :param period: 季节性周期(月数据默认为12) :return: 分解结果 """ result = seasonal_decompose(series, model='additive', period=period) return result def wavelet_analysis(self, series, title='水文序列'): """ 小波分析主函数 :param series: 时间序列数据 :param title: 分析标题 :return: (小波系数, 主周期) """ # 1. 参数设置 scales = np.arange(1, 365) # 1天到1年尺度 wavelet = 'morl' # Morlet小波 # 2. 小波变换 coef, freqs = pywt.cwt(series, scales, wavelet) # 3. 小波方差计算 variance = np.mean(np.abs(coef) ** 2, axis=1) main_scale = scales[np.argmax(variance)] # 4. 可视化 self.plot_wavelet_results(series, scales, coef, variance, main_scale, title) return coef, main_scale def plot_wavelet_results(self, series, scales, coef, variance, main_scale, title): """ 绘制小波分析结果 """ plt.figure(figsize=(15, 12)) # 1. 原始序列图 plt.subplot(3, 1, 1) plt.plot(series.index, series) plt.title(f'{title} - 原始时间序列') plt.xlabel('日期') plt.ylabel('数值') plt.gca().xaxis.set_major_formatter(mdates.DateFormatter('%Y-%m')) # 2. 小波系数实部等值线图 plt.subplot(3, 1, 2) plt.contourf(series.index, scales, np.real(coef), cmap='jet', levels=100) plt.colorbar(label='小波系数实部') plt.title(f'{title} - 小波系数实部等值线图') plt.ylabel('时间尺度(天)') plt.gca().xaxis.set_major_formatter(mdates.DateFormatter('%Y-%m')) # 3. 小波方差图 plt.subplot(3, 1, 3) plt.plot(scales, variance) plt.axvline(main_scale, color='red', linestyle='--', label=f'主周期: {main_scale}天') plt.title(f'{title} - 小波方差分析') plt.xlabel('时间尺度(天)') plt.ylabel('方差') plt.legend() plt.tight_layout() plt.savefig(f'{title}_小波分析.png', dpi=300) plt.show() print(f"{title}主周期: {main_scale}天") def full_analysis(self): """ 完整分析流程 """ # 1. 数据预处理 daily_data = self.preprocess_data() # 2. 季节性分解 plt.figure(figsize=(15, 10)) for i, col in enumerate(['流量(m3/s)', '含沙量(kg/m3)'], 1): plt.subplot(2, 1, i) result = self.seasonal_decomposition(daily_data[col]) result.plot() plt.title(f'{col}季节性分解') plt.tight_layout() plt.savefig('季节性分解.png', dpi=300) plt.show() # 3. 小波分析 flow_coef, flow_period = self.wavelet_analysis( daily_data['流量(m3/s)'], '流量' ) sediment_coef, sediment_period = self.wavelet_analysis( daily_data['含沙量(kg/m3)'], '含沙量' ) # 4. 交叉小波分析(流量与含沙量关系) self.cross_wavelet_analysis( daily_data['流量(m3/s)'], daily_data['含沙量(kg/m3)'], '流量-含沙量' ) return { 'flow_period': flow_period, 'sediment_period': sediment_period } def cross_wavelet_analysis(self, series1, series2, title='交叉分析'): """ 交叉小波分析 :param series1: 第一个时间序列 :param series2: 第二个时间序列 :param title: 分析标题 """ # 1. 计算小波变换 scales = np.arange(1, 365) wavelet = 'morl' coef1, _ = pywt.cwt(series1, scales, wavelet) coef2, _ = pywt.cwt(series2, scales, wavelet) # 2. 计算交叉小波谱 cross_spectrum = coef1 * np.conj(coef2) # 3. 可视化 plt.figure(figsize=(15, 8)) # 交叉小波谱实部 plt.subplot(2, 1, 1) plt.contourf(series1.index, scales, np.real(cross_spectrum), cmap='RdBu_r', levels=100) plt.colorbar(label='实部') plt.title(f'{title} - 交叉小波谱实部') plt.ylabel('时间尺度(天)') plt.gca().xaxis.set_major_formatter(mdates.DateFormatter('%Y-%m')) # 交叉小波谱相位 plt.subplot(2, 1, 2) phase = np.angle(cross_spectrum) plt.contourf(series1.index, scales, phase, cmap='hsv', levels=100) plt.colorbar(label='相位(弧度)') plt.title(f'{title} - 交叉小波谱相位') plt.xlabel('日期') plt.ylabel('时间尺度(天)') plt.gca().xaxis.set_major_formatter(mdates.DateFormatter('%Y-%m')) plt.tight_layout() plt.savefig(f'{title}_交叉小波分析.png', dpi=300) plt.show() # ====================== # 使用示例 # ====================== if __name__ == "__main__": # 1. 创建分析对象 analyzer = HydrologicalAnalysis() # 2. 加载数据(替换为实际文件路径) # analyzer.load_data('水文监测数据.csv') # 3. 生成模拟数据(实际使用时请注释掉) print("生成模拟数据...") dates = pd.date_range(start='2016-01-01', end='2021-12-31', freq='D') flow = np.sin(2 * np.pi * dates.dayofyear / 365) * 100 + 500 + np.random.normal(0, 50, len(dates)) sediment = np.cos(2 * np.pi * dates.dayofyear / 365) * 2 + 5 + np.random.normal(0, 1, len(dates)) analyzer.data = pd.DataFrame({ '水位(m)': np.random.uniform(40, 45, len(dates)), '流量(m3/s)': flow, '含沙量(kg/m3)': sediment }, index=dates) # 4. 执行完整分析 results = analyzer.full_analysis() print("\n分析结果摘要:") print(f"流量主周期: {results['flow_period']}天") print(f"含沙量主周期: {results['sediment_period']}天")

刚刚还可以运行 结果现在报错了 E:\Anaconda\python.exe C:\Users\cheny\Desktop\数学建模完整\教师\流程图().py Traceback (most recent call last): File "E:\Anaconda\Lib\site-packages\graphviz\backend\execute.py", line 78, in run_check proc = subprocess.run(cmd, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "E:\Anaconda\Lib\subprocess.py", line 548, in run with Popen(*popenargs, **kwargs) as process: ^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "E:\Anaconda\Lib\subprocess.py", line 1026, in __init__ self._execute_child(args, executable, preexec_fn, close_fds, File "E:\Anaconda\Lib\subprocess.py", line 1538, in _execute_child hp, ht, pid, tid = _winapi.CreateProcess(executable, args, ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ FileNotFoundError: [WinError 2] 系统找不到指定的文件。 The above exception was the direct cause of the following exception: Traceback (most recent call last): File "C:\Users\cheny\Desktop\数学建模完整\教师\流程图().py", line 22, in <module> dot.render('random_forest_regression_workflow', view=True) File "E:\Anaconda\Lib\site-packages\graphviz\_tools.py", line 171, in wrapper return func(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^ File "E:\Anaconda\Lib\site-packages\graphviz\rendering.py", line 122, in render rendered = self._render(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "E:\Anaconda\Lib\site-packages\graphviz\_tools.py", line 171, in wrapper return func(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^ File "E:\Anaconda\Lib\site-packages\graphviz\backend\rendering.py", line 326, in render execute.run_check(cmd, File "E:\Anaconda\Lib\site-packages\graphviz\backend\execute.py", line 81, in run_check raise ExecutableNotFound(cmd) from e graphviz.backend.execute.ExecutableNotFound: failed to execute WindowsPath('dot'), make sure the Graphviz executables are on your systems' PATH 进程已结束,退出代码为 1 应该怎么修改,把修改之后完整的代码发给我

import tkinter as tk from tkinter import scrolledtext, ttk, messagebox import os import logging from datetime import datetime import sys import locale # 在文件开头添加编码设置 if sys.platform == "win32": # 设置Windows系统的标准输出编码 sys.stdout.reconfigure(encoding='utf-8') # Python 3.7+ # 设置系统区域设置 locale.setlocale(locale.LC_ALL, '') # 对于Python 3.7以下版本 if sys.version_info < (3, 7): import io sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='utf-8') class SimpleCLexer: def __init__(self): self.tokens = [] def tokenize(self, input_str): tokens = [] pos = 0 line = 1 column = 0 length = len(input_str) # 定义C语言的关键词和类型 keywords = { 'void', 'int', 'char', 'float', 'double', 'short', 'long', 'signed', 'unsigned', 'struct', 'union', 'enum', 'typedef', 'static', 'extern', 'auto', 'register', 'const', 'volatile', 'return', 'if', 'else', 'switch', 'case', 'default', 'for', 'while', 'do', 'break', 'continue', 'goto', 'sizeof' } # 扩展类型别名识别 types = {'U1', 'U2', 'U4', 'S1', 'S2', 'S4', 'BOOL', 'BYTE', 'WORD', 'DWORD'} while pos < length: char = input_str[pos] # 跳过空白字符 if char in ' \t': pos += 1 column += 1 continue # 处理换行 if char == '\n': line += 1 column = 0 pos += 1 continue # 处理单行注释 if pos + 1 < length and input_str[pos:pos+2] == '//': end = input_str.find('\n', pos) if end == -1: end = length pos = end continue # 处理多行注释 if pos + 1 < length and input_str[pos:pos+2] == '/*': end = input_str.find('*/', pos + 2) if end == -1: end = length else: end += 2 pos = end continue # 处理标识符 if char.isalpha() or char == '_': start = pos pos += 1 while pos < length and (input_str[pos].isalnum() or input_str[pos] == '_'): pos += 1 token_text = input_str[start:pos] token_type = 'IDENTIFIER' # 检查是否为关键字或类型 if token_text in keywords: token_type = 'KEYWORD' elif token_text in types: token_type = 'TYPE' tokens.append({ 'type': token_type, 'text': token_text, 'line': line, 'column': column }) column += (pos - start) continue # 处理数字 if char.isdigit(): start = pos pos += 1 while pos < length and (input_str[pos].isdigit() or input_str[pos] in '.xXabcdefABCDEF'): pos += 1 tokens.append({ 'type': 'NUMBER', 'text': input_str[start:pos], 'line': line, 'column': column }) column += (pos - start) continue # 处理字符串 if char == '"': start = pos pos += 1 while pos < length and input_str[pos] != '"': if input_str[pos] == '\\' and pos + 1 < length: pos += 2 else: pos += 1 if pos < length and input_str[pos] == '"': pos += 1 tokens.append({ 'type': 'STRING', 'text': input_str[start:pos], 'line': line, 'column': column }) column += (pos - start) continue # 处理字符 if char == "'": start = pos pos += 1 while pos < length and input_str[pos] != "'": if input_str[pos] == '\\' and pos + 1 < length: pos += 2 else: pos += 1 if pos < length and input_str[pos] == "'": pos += 1 tokens.append({ 'type': 'CHAR', 'text': input_str[start:pos], 'line': line, 'column': column }) column += (pos - start) continue # 处理运算符和标点符号 operators = { '(', ')', '{', '}', '[', ']', ';', ',', '.', '->', '++', '--', '&', '*', '+', '-', '~', '!', '/', '%', '<<', '>>', '<', '>', '<=', '>=', '==', '!=', '^', '|', '&&', '||', '?', ':', '=', '+=', '-=', '*=', '/=', '%=', '<<=', '>>=', '&=', '^=', '|=', ',' } # 尝试匹配最长的运算符 matched = False for op_len in range(3, 0, -1): if pos + op_len <= length and input_str[pos:pos+op_len] in operators: tokens.append({ 'type': 'OPERATOR', 'text': input_str[pos:pos+op_len], 'line': line, 'column': column }) pos += op_len column += op_len matched = True break if matched: continue # 无法识别的字符 tokens.append({ 'type': 'UNKNOWN', 'text': char, 'line': line, 'column': column }) pos += 1 column += 1 return tokens class FunctionAnalyzer: def __init__(self): self.function_name = "" self.parameters = set() self.local_vars = [] self.global_vars = [] self.function_calls = [] self.current_function = None self.in_function = False self.in_function_body = False self.brace_depth = 0 self.variable_declarations = {} self.control_structures = {"if", "for", "while", "switch", "return", "else"} self.macro_definitions = set() self.recorded_globals = set() self.storage_classes = {"static", "extern", "auto", "register"} # 定义允许的类型(修复错误) self.basic_types = {'void', 'int', 'char', 'float', 'double', 'short', 'long', 'signed', 'unsigned'} self.type_aliases = {"U1", "U2", "U4", "S1", "S2", "S4"} self.allowed_types = self.basic_types | self.type_aliases self.inside_expression = False # 添加新状态跟踪 self.debug_level = 3 # 1=基本, 2=详细, 3=非常详细 self.all_variables = [] # 记录所有找到的变量 # 添加函数前缀识别 self.function_prefixes = { "vd_": "void", "u1_": "U1", "u2_": "U2", "u4_": "U4", "s1_": "S1", "s2_": "S2", "s4_": "S4" } def log(self, message, level="info", debug_level=1): """增强版日志方法""" if level == "debug" and debug_level > self.debug_level: return prefix = { 1: "[DEBUG1]", 2: "[DEBUG2]", 3: "[DEBUG3]" }.get(debug_level, "[DEBUG]") full_message = f"{prefix} {message}" if self.log_to_gui: self.log_to_gui(full_message, level) else: print(f"{level.upper()}: {full_message}") def analyze(self, tokens): self.tokens = tokens self.pos = 0 self.current_line = 0 self.inside_expression = False # 重置表达式状态 # 第一步:识别宏定义(全大写标识符) self._identify_macros() self.log("开始分析函数体", "debug", 1) self.log(f"共收到 {len(tokens)} 个token", "debug", 2) # 第二步:分析函数体 while self.pos < len(self.tokens): token = self.tokens[self.pos] self.log(f"处理token: {token['text']} (类型:{token['type']}, 行:{token['line']})", "debug", 3) self.current_line = token['line'] # 检测表达式开始和结束 if token['text'] in {'(', '{', '['}: self.inside_expression = True elif token['text'] in {')', '}', ']'}: self.inside_expression = False # 检测函数定义 if token['text'] in self.storage_classes or token['text'] in self.allowed_types: if self._is_function_definition(): self._handle_function_definition() continue # 在函数体内检测变量声明 if self.in_function_body: if token['text'] in self.allowed_types: self._handle_variable_declaration() continue # 检测函数调用 if token['type'] == 'IDENTIFIER' and self.pos + 1 < len(self.tokens): next_token = self.tokens[self.pos + 1] if next_token['text'] == '(': self._handle_function_call() continue # 检测变量使用 if token['type'] == 'IDENTIFIER': self._handle_identifier_use(token) # 跟踪大括号深度 if token['text'] == '{': self.brace_depth += 1 if self.in_function and self.brace_depth == 1: self.in_function_body = True elif token['text'] == '}': self.brace_depth -= 1 if self.brace_depth == 0 and self.in_function: self.in_function = False self.in_function_body = False self.pos += 1 self.log("分析完成", "debug", 1) self.log(f"找到的总变量数: {len(self.all_variables)}", "debug", 1) return self def _identify_macros(self): """识别宏定义(全大写标识符)""" for token in self.tokens: if token['type'] == 'IDENTIFIER' and token['text'].isupper(): self.macro_definitions.add(token['text']) def _is_function_definition(self): pos = self.pos storage_class = None # 检测存储类说明符 if self.tokens[pos]['text'] in self.storage_classes: storage_class = self.tokens[pos]['text'] pos += 1 # 检测返回类型 if pos >= len(self.tokens) or self.tokens[pos]['text'] not in self.allowed_types: return False return_type = self.tokens[pos]['text'] pos += 1 # 处理指针声明 if pos < len(self.tokens) and self.tokens[pos]['text'] == '*': return_type += '*' pos += 1 # 检测函数名 if pos < len(self.tokens) and self.tokens[pos]['type'] == 'IDENTIFIER': func_name = self.tokens[pos]['text'] pos += 1 else: return False # 检测参数列表开头的'(' if pos < len(self.tokens) and self.tokens[pos]['text'] == '(': pos += 1 else: return False # 参数列表必须包含至少一个参数或void if pos < len(self.tokens) and self.tokens[pos]['text'] == ')': # 空参数列表 pos += 1 else: # 非空参数列表 depth = 1 while pos < len(self.tokens) and depth > 0: if self.tokens[pos]['text'] == '(': depth += 1 elif self.tokens[pos]['text'] == ')': depth -= 1 pos += 1 # 检测函数体开头的'{' (允许最多5个token的间隔) found_brace = False for i in range(min(5, len(self.tokens) - pos)): if self.tokens[pos + i]['text'] == '{': found_brace = True break return found_brace def _handle_function_definition(self): self.log(">>> 进入函数定义处理", "debug", 2) start_pos = self.pos storage_class = None # 处理存储类说明符 if self.tokens[self.pos]['text'] in self.storage_classes: storage_class = self.tokens[self.pos]['text'] self.pos += 1 # 获取返回类型 return_type = self.tokens[self.pos]['text'] self.pos += 1 # 处理指针声明 if self.pos < len(self.tokens) and self.tokens[self.pos]['text'] == '*': return_type += '*' self.pos += 1 # 获取函数名 if self.pos < len(self.tokens) and self.tokens[self.pos]['type'] == 'IDENTIFIER': func_name = self.tokens[self.pos]['text'] self.pos += 1 else: self.pos = start_pos return # 记录函数名 self.function_name = func_name self.current_function = func_name self.variable_declarations[func_name] = True # 跳过 '(' if self.pos < len(self.tokens) and self.tokens[self.pos]['text'] == '(': self.pos += 1 # 提取参数 params = [] current_param = [] depth = 1 param_line = self.current_line while self.pos < len(self.tokens) and depth > 0: token = self.tokens[self.pos] if token['text'] == '(': depth += 1 elif token['text'] == ')': depth -= 1 if depth == 0: break elif token['text'] == ',' and depth == 1: # 提取参数类型和名称 param_type, param_name = self._extract_param_info(current_param) if param_type and param_name: params.append({ 'type': param_type, 'name': param_name, 'line': param_line }) self.variable_declarations[param_name] = True current_param = [] param_line = token['line'] self.pos += 1 continue current_param.append(token) self.pos += 1 # 处理最后一个参数 if current_param: param_type, param_name = self._extract_param_info(current_param) if param_type and param_name: params.append({ 'type': param_type, 'name': param_name, 'line': param_line }) self.variable_declarations[param_name] = True # 记录参数 self.parameters = params param_names = [p['name'] for p in params] if params else [] # 查找函数体开头的'{' while self.pos < len(self.tokens) and self.tokens[self.pos]['text'] != '{': self.pos += 1 if self.pos < len(self.tokens) and self.tokens[self.pos]['text'] == '{': self.in_function = True self.in_function_body = False self.brace_depth = 0 self.pos += 1 # 添加函数名到变量列表 func_info = { 'name': func_name, 'type': 'function', 'line': self.current_line, 'scope': 'function' } self.all_variables.append(func_info) self.log(f"添加函数: {func_name}", "info") self.log("<<< 退出函数定义处理", "debug", 2) return param_names def _extract_param_info(self, tokens): """从参数token列表中提取类型和名称""" param_type = [] param_name = None for token in tokens: if token['type'] in ('KEYWORD', 'TYPE') or token['text'] in self.allowed_types: param_type.append(token['text']) elif token['type'] == 'IDENTIFIER' and not token['text'].isupper(): param_name = token['text'] return ' '.join(param_type), param_name def _handle_variable_declaration(self): self.log(">>> 进入变量声明处理", "debug", 2) self.log(f"当前token: {self.tokens[self.pos]['text']}", "debug", 3) # 获取变量类型 var_type = self.tokens[self.pos]['text'] self.log(f"检测到变量声明类型: {var_type}", "debug") self.pos += 1 # 处理指针声明 if self.pos < len(self.tokens) and self.tokens[self.pos]['text'] == '*': var_type += '*' self.pos += 1 var_names = [] current_line = self.current_line # 处理变量名 while self.pos < len(self.tokens): token = self.tokens[self.pos] # 标识符 - 变量名 if token['type'] == 'IDENTIFIER' and not token['text'].isupper(): var_name = token['text'] # 跳过宏定义 if var_name not in self.macro_definitions: self.log(f"找到变量名: {var_name}", "debug") var_names.append(var_name) self.variable_declarations[var_name] = True self.pos += 1 continue # 逗号 - 多个变量声明 elif token['text'] == ',': self.pos += 1 # 处理指针声明 if self.pos < len(self.tokens) and self.tokens[self.pos]['text'] == '*': self.pos += 1 continue # 结束声明 elif token['text'] == ';': self.pos += 1 break # 数组声明 - 跳过数组大小 elif token['text'] == '[': self.pos += 1 depth = 1 while self.pos < len(self.tokens) and depth > 0: t = self.tokens[self.pos] if t['text'] == '[': depth += 1 elif t['text'] == ']': depth -= 1 self.pos += 1 continue # 初始化 - 跳过初始化表达式 elif token['text'] == '=': self.log("跳过初始化表达式", "debug") self.pos += 1 depth = 0 while self.pos < len(self.tokens): t = self.tokens[self.pos] if t['text'] in {'(', '['}: depth += 1 elif t['text'] in {')', ']'}: depth -= 1 elif t['text'] in {',', ';'} and depth == 0: break self.pos += 1 continue # 类型转换 - 跳过 elif token['text'] == '(' and self.pos + 1 < len(self.tokens): # 尝试识别类型转换 next_token = self.tokens[self.pos + 1] if next_token['text'] in self.allowed_types: self.log(f"跳过类型转换: ({next_token['text']})", "debug") # 跳过类型转换 self.pos += 2 if self.pos < len(self.tokens) and self.tokens[self.pos]['text'] == ')': self.pos += 1 continue # 其他情况 self.log(f"跳过token: {token['text']} (类型: {token['type']})", "debug") self.pos += 1 # 添加到局部变量 (跳过宏定义和参数) for var_name in var_names: # 检查是否在参数列表中 is_param = False for param in self.parameters: if param['name'] == var_name: is_param = True self.log(f"跳过参数变量: {var_name}", "debug") break if not is_param and var_name not in self.macro_definitions: var_info = { 'type': var_type, 'name': var_name, 'line': current_line, 'scope': 'local' } self.local_vars.append(var_info) self.all_variables.append(var_info) self.log(f"添加局部变量: {var_type} {var_name} (行:{current_line})", "info") self.log("<<< 退出变量声明处理", "debug", 2) def _handle_identifier_use(self, token): var_name = token['text'] line = token['line'] self.log(f"处理标识符: {var_name} (行:{line})", "debug", 3) # 跳过宏定义(全大写) if var_name in self.macro_definitions or var_name.isupper(): self.log(f"跳过宏定义: {var_name}", "debug") return # 跳过已声明的变量(局部变量、参数、函数名) if var_name in self.variable_declarations: self.log(f"跳过已声明变量: {var_name}", "debug") return # 跳过函数调用(函数名已经在函数调用处理中记录) for call in self.function_calls: if call['name'] == var_name: self.log(f"跳过函数调用变量: {var_name}", "debug") return # 跳过控制结构 if var_name in self.control_structures: self.log(f"跳过控制结构: {var_name}", "debug") return # 跳过类型别名 if var_name in self.type_aliases: self.log(f"跳过类型别名: {var_name}", "debug") return # 跳过已经记录过的全局变量 if var_name in self.recorded_globals: self.log(f"跳过已记录全局变量: {var_name}", "debug") return # 添加到全局变量 var_info = { 'name': var_name, 'line': line, 'scope': 'global' } self.global_vars.append(var_info) self.all_variables.append(var_info) self.recorded_globals.add(var_name) self.log(f"添加全局变量: {var_name} (行:{line})", "info") def log(self, message, level="info"): """添加内部日志方法""" # 在实际应用中,这个方法应该连接到GUI日志系统 print(f"[Analyzer] {level.upper()}: {message}") # 在生产环境中,应该调用GUI的日志方法 # self.log_to_gui(f"[Analyzer] {message}", level) def _handle_function_call(self): self.log(">>> 进入函数调用处理", "debug", 2) # 提取函数名 func_name = self.tokens[self.pos]['text'] line = self.current_line self.pos += 2 # 跳过函数名和 '(' # 提取参数 params = [] depth = 1 current_param = [] while self.pos < len(self.tokens) and depth > 0: token = self.tokens[self.pos] if token['text'] == '(': depth += 1 elif token['text'] == ')': depth -= 1 if depth == 0: break elif token['text'] == ',' and depth == 1: params.append(''.join([t['text'] for t in current_param]).strip()) current_param = [] self.pos += 1 continue current_param.append(token) self.pos += 1 if current_param: params.append(''.join([t['text'] for t in current_param]).strip()) # 跳过 ')' 如果还在范围内 if self.pos < len(self.tokens) and self.tokens[self.pos]['text'] == ')': self.pos += 1 # 确定返回类型 return_type = "unknown" if func_name.startswith("vd_"): return_type = "void" elif func_name.startswith(("u1_", "u2_", "u4_", "s1_", "s2_", "s4_")): prefix = func_name.split("_")[0] return_type = prefix.upper() # 添加到函数调用列表 func_info = { 'name': func_name, 'return_type': return_type, 'type': "function_call", 'line': line, 'scope': 'call' } self.function_calls.append(func_info) self.all_variables.append(func_info) self.log(f"添加函数调用: {func_name} (行:{line})", "info") self.log("<<< 退出函数调用处理", "debug", 2) class FunctionParserApp: def __init__(self, root): self.root = root self.root.title("C语言函数解析器 (内置解析器版)") self.root.geometry("900x700") self.setup_logging() # 创建输入区域 input_frame = tk.LabelFrame(root, text="输入C语言函数体", padx=5, pady=5) input_frame.pack(fill="both", expand=True, padx=10, pady=5) self.input_text = scrolledtext.ScrolledText(input_frame, width=100, height=20) self.input_text.pack(fill="both", expand=True, padx=5, pady=5) # 按钮区域 btn_frame = tk.Frame(root) btn_frame.pack(fill="x", padx=10, pady=5) # 解析按钮 parse_btn = tk.Button(btn_frame, text="解析函数", command=self.parse_function, bg="#4CAF50", fg="white") parse_btn.pack(side="left", padx=5) # 保存日志按钮 save_log_btn = tk.Button(btn_frame, text="保存日志", command=self.save_logs) save_log_btn.pack(side="right", padx=5) # 进度条 self.progress = ttk.Progressbar(btn_frame, orient="horizontal", length=300, mode="determinate") self.progress.pack(side="left", padx=10, fill="x", expand=True) # 创建输出区域 output_frame = tk.LabelFrame(root, text="解析结果", padx=5, pady=5) output_frame.pack(fill="both", expand=True, padx=10, pady=5) self.output_text = scrolledtext.ScrolledText(output_frame, width=100, height=15) self.output_text.pack(fill="both", expand=True, padx=5, pady=5) self.output_text.config(state=tk.DISABLED) # 日志区域 log_frame = tk.LabelFrame(root, text="日志信息", padx=5, pady=5) log_frame.pack(fill="both", expand=True, padx=10, pady=5) self.log_text = scrolledtext.ScrolledText(log_frame, width=100, height=8) self.log_text.pack(fill="both", expand=True, padx=5, pady=5) self.log_text.config(state=tk.DISABLED) # 添加调试级别控制 debug_frame = tk.Frame(btn_frame) debug_frame.pack(side="left", padx=10) tk.Label(debug_frame, text="调试级别:").pack(side="left") self.debug_level = tk.IntVar(value=1) ttk.Combobox(debug_frame, textvariable=self.debug_level, values=[1, 2, 3], width=3).pack(side="left") # 添加示例按钮 example_btn = tk.Button(btn_frame, text="加载示例", command=self.load_example) example_btn.pack(side="right", padx=5) # 示例函数体 self.example_code = """static void Diag21_PID_C9(U1 u1_a_num) { U1 u1_t_cmplt; U1 u1_t_cnt; if((U1)DIAG_CNT_ZERO == u1_t_swrstcnt) /* Determine if a software reset is in progress */ { for(u1_t_cnt = (U1)DIAG21_ZERO; u1_t_cnt < (U1)DIAG21_PIDC9_FLAG; u1_t_cnt ++) { u1_t_cmplt = u1_g_InspSoftwareVersion(u4_g_cmd, &u4_g_data, (U1)TRUE); } vd_s_Diag21_U2ToU1(u2_g_buf, u1_g_data, (U1)DIAG21_PIDC9_FLAG); } else { /* Do Nothing */ } }""" def setup_logging(self): """配置日志系统""" self.log_filename = f"parser_{datetime.now().strftime('%Y%m%d_%H%M%S')}.log" # 创建文件处理器并指定UTF-8编码 file_handler = logging.FileHandler(self.log_filename, encoding='utf-8') file_handler.setLevel(logging.INFO) file_handler.setFormatter(logging.Formatter("%(asctime)s - %(levelname)s - %(message)s")) # 配置根日志器 root_logger = logging.getLogger() root_logger.setLevel(logging.INFO) root_logger.addHandler(file_handler) # 添加控制台处理器 console_handler = logging.StreamHandler() console_handler.setLevel(logging.INFO) console_handler.setFormatter(logging.Formatter("%(asctime)s - %(levelname)s - %(message)s")) root_logger.addHandler(console_handler) logging.info("应用程序启动") def log_to_gui(self, message, level="info"): """将日志信息显示在GUI中""" try: self.log_text.config(state=tk.NORMAL) timestamp = datetime.now().strftime("%H:%M:%S") # 确保消息是字符串 if not isinstance(message, str): message = str(message) self.log_text.insert(tk.END, f"[{timestamp}] {message}\n") self.log_text.see(tk.END) self.log_text.config(state=tk.DISABLED) if level == "info": logging.info(message) elif level == "warning": logging.warning(message) elif level == "error": logging.error(message) except Exception as e: # 如果GUI日志失败,回退到控制台日志 print(f"GUI日志错误: {str(e)}") logging.error(f"GUI日志错误: {str(e)}") def save_logs(self): """保存日志到文件""" try: log_content = self.log_text.get("1.0", tk.END) filename = f"saved_log_{datetime.now().strftime('%H%M%S')}.txt" # 使用UTF-8编码保存文件 with open(filename, "w", encoding='utf-8') as f: f.write(log_content) self.log_to_gui(f"日志已保存到: {filename}", "info") messagebox.showinfo("保存成功", f"日志已保存到:\n{filename}") except Exception as e: self.log_to_gui(f"保存日志失败: {str(e)}", "error") messagebox.showerror("保存失败", f"无法保存日志:\n{str(e)}") def update_progress(self, value): """更新进度条""" self.progress['value'] = value self.root.update_idletasks() def load_example(self): """加载示例函数体""" self.input_text.delete(1.0, tk.END) self.input_text.insert(tk.END, self.example_code) self.log_to_gui("已加载示例函数体") def parse_function(self): """使用内置解析器解析C语言函数体""" try: code = self.input_text.get(1.0, tk.END) if not code.strip(): self.log_to_gui("错误: 没有输入函数体", "error") messagebox.showerror("错误", "请输入要解析的C语言函数体") return self.log_to_gui("开始解析函数体...") self.output_text.config(state=tk.NORMAL) self.output_text.delete(1.0, tk.END) self.update_progress(0) # 使用内置词法分析器 self.log_to_gui("执行词法分析...") lexer = SimpleCLexer() tokens = lexer.tokenize(code) self.update_progress(30) # 使用内置语法分析器 self.log_to_gui("执行语法分析...") analyzer = FunctionAnalyzer() analyzer.log_to_gui = self.log_to_gui analyzer.debug_level = self.debug_level.get() # 设置调试级别 analyzer.analyze(tokens) # 显示结果 self.log_to_gui("生成解析报告...") self.display_results( analyzer.local_vars, analyzer.global_vars, analyzer.function_calls, analyzer.function_name, analyzer.parameters ) self.update_progress(100) self.output_text.config(state=tk.DISABLED) self.log_to_gui("解析完成!") messagebox.showinfo("完成", "函数体解析成功完成!") except Exception as e: self.log_to_gui(f"解析错误: {str(e)}", "error") self.log_to_gui(f"错误详情: {traceback.format_exc()}", "error") messagebox.showerror("解析错误", f"发生错误:\n{str(e)}") self.update_progress(0) def display_results(self, local_vars, global_vars, function_calls, func_name, func_params): """增强版结果显示,包含所有变量信息""" # 显示函数签名 if func_name: self.output_text.insert(tk.END, "=== 函数签名 ===\n") self.output_text.insert(tk.END, f"函数名: {func_name}\n") if func_params: param_list = [] for param in func_params: param_list.append(f"{param['type']} {param['name']}") # 添加参数到变量列表 param_info = { 'name': param['name'], 'type': param['type'], 'line': param['line'], 'scope': 'parameter' } self.log_to_gui(f"添加参数: {param['type']} {param['name']} (行:{param['line']})") self.output_text.insert(tk.END, f"参数: {', '.join(param_list)}\n\n") else: self.output_text.insert(tk.END, "参数: 无\n\n") else: self.output_text.insert(tk.END, "=== 函数签名 ===\n") self.output_text.insert(tk.END, "警告: 无法识别函数签名\n\n") self.log_to_gui("无法识别函数签名", "warning") # 显示所有找到的变量 self.output_text.insert(tk.END, "=== 所有变量分析 ===\n") self.output_text.insert(tk.END, "类型 | 名称 | 作用域 | 行号\n") self.output_text.insert(tk.END, "-" * 50 + "\n") # 先显示参数 for param in func_params: self.output_text.insert(tk.END, f"参数 | {param['name']} | 参数 | {param['line']}\n") # 显示局部变量 for var in local_vars: self.output_text.insert(tk.END, f"变量 | {var['name']} | 局部 | {var['line']}\n") # 显示全局变量 for var in global_vars: self.output_text.insert(tk.END, f"变量 | {var['name']} | 全局 | {var['line']}\n") # 显示函数调用 for func in function_calls: self.output_text.insert(tk.END, f"函数调用 | {func['name']} | 调用 | {func['line']}\n") self.output_text.insert(tk.END, "\n") """显示解析结果""" # 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Did you forget to import 'traceback'

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