Python文件处理的魔法之旅

with open('example.txt', 'r') as file:
    content = file.read()
    print(content)

with open('output.txt', 'w') as file:
    file.write('Hello, World!')

with open('example.txt', 'r') as file:
    lines = file.readlines()

# 修改内容
lines[0] = 'Modified line\n'

with open('example.txt', 'w') as file:
    file.writelines(lines)

import csv

with open('data.csv', 'r') as file: reader = csv.reader(file)
for row in reader: print(row)
with open('output.csv', 'w', newline='') as file: writer = csv.writer(file)
writer.writerow(['Name', 'Age', 'City'])
writer.writerow(['John', 30, 'New York'])

import json

data = {'name': 'John', 'age': 30, 'city': 'New York'}
with open('data.json', 'w') as file: json.dump(data, file)

2024-06-07 12:00:00 INFO Starting application...
2024-06-07 12:00:05 ERROR Failed to load module!
2024-06-07 12:00:10 INFO User logged in.
2024-06-07 12:00:15 ERROR Database connection failed.
...

# encoding='utf-8'
from collections import defaultdict
import os
import re

# 定义日志文件所在的目录
log_directory = 'logs'
# 定义日志文件的模式
log_pattern = re.compile(r'^(\d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2}) \S+ (.*)$')

# 用于存储错误计数的字典
error_counts = defaultdict(int)

# 遍历日志目录中的所有文件
for filename in os.listdir(log_directory):
    if filename.endswith('.log'):
        with open(os.path.join(log_directory, filename), 'r') as file:
            for line in file:
                match = log_pattern.match(line)
                if match:
                    _, message = match.groups()
                    if 'ERROR' in message:
                        # 提取错误类型
                        error_type = message.split(':')[1].strip()
                        error_counts[error_type] += 1

# 将错误统计写入报告文件
with open('error_report.txt', 'w') as report_file:
    report_file.write('Error Report\n')
    report_file.write('============\n')
    for error_type, count in error_counts.items():
        report_file.write(f'{error_type}: {count}\n')

print('Error report generated successfully.')