":{"message":"Too many requests","type":"rix_api_error","param":"","code":"429"}...
🚨 错误信息
🤖 AI解决方案
代码糕手 - 报错分析报告
1. 错误翻译
text
原文:API错误 [429]: {"error":{"message":"Too many requests","type":"rix_api_error","param":"","code":"429"}}
译文:API错误 [429]: {"error":{"message":"请求过多","type":"rix_api_error","param":"","code":"429"}}
2. 原因分析
主要错误:
HTTP 429 速率限制错误
次要错误:
网络连接被重置 (10054)
3. 解决方案
方案一:添加请求延迟(推荐)
python
import time
import randomdef make_api_request_with_backoff():
max_retries = 3
base_delay = 2 # 基础延迟秒数
for attempt in range(max_retries):
try:
# 你的API请求代码
response = make_api_call()
return response
except requests.exceptions.RequestException as e:
if "429" in str(e) or "Too many requests" in str(e):
# 指数退避算法
delay = base_delay (2 * attempt) + random.uniform(0, 1)
print(f"请求过多,等待 {delay:.2f} 秒后重试... (尝试 {attempt+1}/{max_retries})")
time.sleep(delay)
else:
raise
raise Exception("达到最大重试次数仍失败")
使用示例
response = make_api_request_with_backoff()
方案二:检查并降低请求频率
python
1. 确保没有循环或重复调用API
2. 添加请求间隔
import timedef call_api_safely():
# 在连续请求之间添加至少1秒的间隔
response = make_api_call()
time.sleep(1) # 强制等待1秒
return response
4. ️ 预防措施
最佳实践建议:
- 当遇到429错误时,不应立即重试
- 使用递增的等待时间(如2秒、4秒、8秒)
- 添加随机抖动避免"惊群效应"
python
from datetime import datetime, timedelta
class RateLimiter:
def __init__(self, max_requests, time_window):
self.max_requests = max_requests
self.time_window = timedelta(seconds=time_window)
self.requests = []
def can_make_request(self):
now = datetime.now()
# 清理过期的请求记录
self.requests = [req_time for req_time in self.requests
if now - req_time < self.time_window]
if len(self.requests) < self.max_requests:
self.requests.append(now)
return True
return False
推荐工具:
requests配合requests-ratelimiter---
关键提醒:请查阅您使用的API文档,了解具体的速率限制策略(如每分钟/小时的最大请求数),并根据文档要求调整您的调用策略。