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问题出现
↓
查看错误日志
↓
确定问题类型
↓
查阅相关文档
↓
尝试解决方案
↓
验证修复

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import logging

# 配置详细日志
logging.basicConfig(
level=logging.DEBUG,
format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
handlers=[
logging.FileHandler('debug.log'),
logging.StreamHandler()
]
)

logger = logging.getLogger(__name__)
logger.debug("详细调试信息")

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# settings.py
LOG_LEVEL = 'DEBUG'
LOG_FILE = 'scrapy_debug.log'

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import requests
from requests.adapters import HTTPAdapter
from urllib3.util.retry import Retry

# 配置重试策略
session = requests.Session()
retry = Retry(
total=3,
backoff_factor=1,
status_forcelist=[500, 502, 503, 504]
)
adapter = HTTPAdapter(max_retries=retry)
session.mount('http://', adapter)
session.mount('https://', adapter)

# 详细日志
import http.client
http.client.HTTPConnection.debuglevel = 1

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// 1. 添加条件断点
// 右键断点 -> Edit breakpoint -> 输入条件
// 例如: userId === 123

// 2. 使用 debugger 语句
function suspiciousFunction() {
debugger; // 代码会在这里暂停
// ... 可疑代码
}

// 3. 监控变量变化
// Sources -> Watch -> 添加表达式

// 4. 查看调用栈
// Sources -> Call Stack

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# 1. 异常处理
try:
response = requests.get(url, timeout=10)
response.raise_for_status()
except requests.exceptions.Timeout:
logger.error(f"Request timeout: {url}")
except requests.exceptions.HTTPError as e:
logger.error(f"HTTP error: {e.response.status_code}")
except Exception as e:
logger.exception(f"Unexpected error: {e}")

# 2. 参数验证
def process_data(data):
if not data:
raise ValueError("Data cannot be empty")
if not isinstance(data, dict):
raise TypeError("Data must be a dictionary")
# 处理数据...

# 3. 资源管理
with open('file.txt', 'r') as f:
data = f.read()
# 文件自动关闭

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# 记录关键操作
logger.info(f"Processing URL: {url}")

# 记录错误详情
logger.error(f"Failed to parse: {url}", exc_info=True)

# 记录性能指标
import time
start = time.time()
# ... 操作
logger.info(f"Operation took {time.time() - start:.2f}s")