": { "message": "当前分组上游负载已饱和，请稍后再试", "type": "rix_api_error", "param": "", "code...
🚨 错误信息
{
"fileName": "file:C:\\Users\\CYK\\Downloads\\Self-data-driven remaining useful life prediction of rotating machinery under time-varying operating conditions based on a two-stage hybrid state-space model.pdf-8917544-1765719614780",
"query": "HSSM",
"results": [
{
"lineNumber": 39,
"lineContent": "theory, a two-stage hybrid state-space model (HSSM) is developed by combining the dynamic modeling capa-",
"context": [
"theory, a two-stage hybrid state-space model (HSSM) is developed by combining the dynamic modeling capa-"
]
},
{
"lineNumber": 46,
"lineContent": "within the HSSM, enabling real-time tracking of RM degradation. Furthermore, an adaptive model selection ",
"context": [
"within the HSSM, enabling real-time tracking of RM degradation. Furthermore, an adaptive model selection "
]
},
{
"lineNumber": 49,
"lineContent": "design characteristics of the HSSM at different stages provide an integrated solution for both anomaly detection ",
"context": [
"design characteristics of the HSSM at different stages provide an integrated solution for both anomaly detection "
]
},
{
"lineNumber": 264,
"lineContent": "of RM, and establishes a two-stage hybrid state-space model (HSSM) to ",
"context": [
"of RM, and establishes a two-stage hybrid state-space model (HSSM) to "
]
},
{
"lineNumber": 270,
"lineContent": "ability of the proposed method. The specific structure of the HSSM ",
"context": [
"ability of the proposed method. The specific structure of the HSSM "
]
},
{
"lineNumber": 677,
"lineContent": "paper proposes a two-stage HSSM to capture the operational dynamics ",
"context": [
"paper proposes a two-stage HSSM to capture the operational dynamics "
]
},
{
"lineNumber": 707,
"lineContent": "The variables that need to be solved in the two-stage HSSM include ",
"context": [
"The variables that need to be solved in the two-stage HSSM include "
]
},
{
"lineNumber": 1036,
"lineContent": "The solution process of the two-stage HSSM involves alternating ",
"context": [
"The solution process of the two-stage HSSM involves alternating "
]
},
{
"lineNumber": 1084,
"lineContent": "In summary, the solution procedure of the two-stage HSSM is shown ",
"context": [
"In summary, the solution procedure of the two-stage HSSM is shown "
]
},
{
"lineNumber": 1099,
"lineContent": "4. Self-data-driven RUL prediction based on the two-stage HSSM",
"context": [
"4. Self-data-driven RUL prediction based on the two-stage HSSM"
]
}
],
"totalMatches": 10
}
{
"error": {
"message": "当前分组上游负载已饱和，请稍后再试",
"type": "rix_api_error",
"param": "",
"code": 429
}
}
🤖 AI解决方案
❌ 错误识别：这不是代码执行或编译错误，而是一个API服务限流错误。
分析流程
1. 错误翻译
原文：当前分组上游负载已饱和，请稍后再试
译文：Current group upstream load is saturated, please try again later2. 原因分析
这是一个 HTTP 429 Too Many Requests 错误。根本原因是：- 限流触发：您在短时间内发送了过多请求到某个API服务
- 服务器保护：服务提供方为了防止资源过载，对您的请求进行了限流
- 负载均衡限制：您的请求分组（可能基于IP、账户或API密钥）达到了并发请求上限
3. 解决方案
# 解决方案：实现请求重试机制与退避策略
import time
import requests
from requests.exceptions import HTTPError
def make_api_request_with_retry(url, max_retries=5, initial_delay=1.0):
"""
带有指数退避的API请求函数
Parameters:
- url: 请求URL
- max_retries: 最大重试次数，默认5次
- initial_delay: 初始延迟时间（秒），默认1秒
"""
delay = initial_delay
for attempt in range(max_retries):
try:
response = requests.get(url)
response.raise_for_status()
return response.json()
except HTTPError as e:
if e.response.status_code == 429:
# 429错误，执行指数退避
print(f"⚠️ 429错误 - 第{attempt+1}次重试，等待{delay:.1f}秒...")
time.sleep(delay)
delay *= 2 # 指数退避
else:
# 其他HTTP错误，直接抛出
raise e
except Exception as e:
# 其他异常
raise e
# 所有重试都失败
raise Exception(f"❌ API请求失败，已达到最大重试次数 {max_retries}")
# 使用示例
try:
data = make_api_request_with_retry("您的API地址")
print("✅ 请求成功")
except Exception as e:
print(f"请求失败: {e}")4. ️ 预防措施
- 记录429错误的发生频率和时间
- 设置告警机制，当429错误频繁出现时提醒开发人员
- 使用API健康度监控工具（如Prometheus + Grafana）
---
建议：检查您的代码中是否有循环或递归调用API的情况，确保有适当的延迟控制。如果这是生产环境的关键服务，考虑联系API提供商了解具体的限流策略和是否可以申请更高的配额。