openclaw - 💡(How to fix) Fix [Bug]: Binding 匹配在并发场景下错乱 - Feishu 多群消息路由失败 [2 comments, 2 participants]

Fix Plan

To resolve the issue of binding matching failures in concurrent scenarios, we need to ensure that the resolveAgentRoute function correctly isolates state in concurrent scenarios and that there is no global cache/state being incorrectly shared. Here are the steps to fix the issue:

• Step 1: Review resolveAgentRoute function
  • Check if the function uses any global variables or shared state that could be accessed by multiple concurrent requests.
  • Ensure that the function creates a new scope for each request and does not rely on external state.
• Step 2: Implement request-level caching
  • Instead of using a global cache, implement a request-level cache that stores the routing information for each request.
  • This can be achieved using a library like lodash.memoize or by creating a simple cache object that is specific to each request.
• Step 3: Update resolveAgentRoute function to use request-level caching
  • Modify the resolveAgentRoute function to use the request-level cache instead of a global cache.
  • Ensure that the function correctly handles concurrent requests and does not overwrite the cache with incorrect information.

Example code snippet:

const _ = require('lodash');

// Create a request-level cache
const cache = {};

// Update resolveAgentRoute function to use request-level caching
function resolveAgentRoute(req) {
  const cacheKey = `agent-route-${req.peer.id}`;
  if (cache[cacheKey]) {
    return cache[cacheKey];
  }
  const agentRoute = // calculate agent route based on req
  cache[cacheKey] = agentRoute;
  return agentRoute;
}

Verification

To verify that the fix worked, you can test the concurrent scenario again and check if the messages are being routed correctly to their respective agents. You can also add logging statements to the resolveAgentRoute function to verify that the cache is being correctly updated and used.

Extra Tips

• Ensure that the resolveAgentRoute function is correctly handling errors and edge cases.
• Consider implementing a timeout or expiration mechanism for the request-level cache to prevent stale data from being stored.
• Review the overall architecture of the system to ensure that there are no other potential issues with concurrent access to shared state.