写出python代码，能在任何文件夹读取Log。具体如下： 1.读取log，当读取到最后一次出现"My name is kitty"时，从下一行开始读 2.删除所有重复的行，只留第一行 3.第一行按照正则规则1分列后，写入新的CSV文件Output 4.从下一行开始按照正则规则2分列后，继续写入新的CSV文件Output 5.读取CSV文件Output 6.把标题行分为4类，第一类是标题为ABC,DFG的2列，第二类是CAT开头的几列，第三类是DOG开头的几列，第四类是Fish开头的几列 7.把4类标题画成曲线图

以下是Python代码实现：

import re
import csv
import os
import matplotlib.pyplot as plt

# 正则规则1和2
rule1 = r"(\d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2}),(.+),(\d+),(\d+),(.+)"
rule2 = r"(.+),(.+),(.+),(.+),(.+),(.+),(.+),(.+),(.+),(.+)"

# 读取log文件
def read_log(file_path):
    with open(file_path, 'r') as f:
        lines = f.readlines()
    index = 0
    for i, line in enumerate(lines):
        if "My name is kitty" in line:
            index = i + 1
    return lines[index:]

# 删除重复行
def remove_duplicate(lines):
    new_lines = []
    for line in lines:
        if line not in new_lines:
            new_lines.append(line)
    return new_lines

# 写入CSV文件
def write_csv(lines, output_file):
    with open(output_file, 'w', newline='') as f:
        writer = csv.writer(f)
        writer.writerow(['Date', 'Name', 'ID1', 'ID2', 'Content'])
        for line in lines:
            match = re.match(rule1, line)
            if match:
                writer.writerow(match.groups())
            else:
                match = re.match(rule2, line)
                if match:
                    writer.writerow(match.groups())

# 读取CSV文件
def read_csv(file_path):
    with open(file_path, 'r') as f:
        reader = csv.reader(f)
        rows = [row for row in reader]
    return rows[1:], rows[0]

# 按照标题分类
def classify_title(headers):
    abc_headers = []
    cat_headers = []
    dog_headers = []
    fish_headers = []
    for header in headers:
        if header.startswith('ABC') or header.startswith('DFG'):
            abc_headers.append(header)
        elif header.startswith('CAT'):
            cat_headers.append(header)
        elif header.startswith('DOG'):
            dog_headers.append(header)
        elif header.startswith('Fish'):
            fish_headers.append(header)
    return abc_headers, cat_headers, dog_headers, fish_headers

# 画曲线图
def plot_curve(data, title):
    x = range(len(data))
    plt.plot(x, data)
    plt.title(title)
    plt.show()

if __name__ == '__main__':
    # 读取log文件
    log_file = 'test.log'
    lines = read_log(log_file)

    # 删除重复行
    new_lines = remove_duplicate(lines)

    # 写入CSV文件
    output_file = 'output.csv'
    write_csv(new_lines, output_file)

    # 读取CSV文件
    data, headers = read_csv(output_file)

    # 按照标题分类
    abc_headers, cat_headers, dog_headers, fish_headers = classify_title(headers)

    # 画曲线图
    for header in abc_headers:
        index = headers.index(header)
        column = [float(row[index]) for row in data]
        plot_curve(column, header)
    for header in cat_headers:
        index = headers.index(header)
        column = [float(row[index]) for row in data]
        plot_curve(column, header)
    for header in dog_headers:
        index = headers.index(header)
        column = [float(row[index]) for row in data]
        plot_curve(column, header)
    for header in fish_headers:
        index = headers.index(header)
        column = [float(row[index]) for row in data]
        plot_curve(column, header)

注意：由于没有提供log文件和输出文件，无法保证代码能够完全运行成功。