Python 怎么筛选日志并做简单统计：错误、状态码、关键词一次找出来

from pathlib import Path

log_path = Path('app.log')
keyword = 'ERROR'

with log_path.open('r', encoding='utf-8', errors='ignore') as f:
    for line_no, line in enumerate(f, start=1):
        if keyword in line:
            print(line_no, line.strip())

with log_path.open('r', encoding='utf-8', errors='ignore') as src, open('error_lines.log', 'w', encoding='utf-8') as out:
    for line in src:
        if 'ERROR' in line:
            out.write(line)

import re
from collections import Counter
from pathlib import Path

counter = Counter()
pattern = re.compile(r'status=(\d{3})')

with Path('access.log').open('r', encoding='utf-8', errors='ignore') as f:
    for line in f:
        match = pattern.search(line)
        if match:
            counter[match.group(1)] += 1

print(counter.most_common())

import re
from collections import Counter

path_pattern = re.compile(r'path=([^\s]+)')
status_pattern = re.compile(r'status=(\d{3})')
errors = Counter()

with open('access.log', 'r', encoding='utf-8', errors='ignore') as f:
    for line in f:
        status_match = status_pattern.search(line)
        path_match = path_pattern.search(line)
        if not status_match or not path_match:
            continue
        status = int(status_match.group(1))
        if status >= 500:
            errors[path_match.group(1)] += 1

print(errors.most_common(20))

import csv

with open('status_count.csv', 'w', encoding='utf-8-sig', newline='') as f:
    writer = csv.writer(f)
    writer.writerow(['status', 'count'])
    for status, count in counter.most_common():
        writer.writerow([status, count])