chore: map tool description to desc in ToolStoreDialog

[shaohuzhang1]

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[shaohuzhang1]

There are no apparent issues with the code based on the information provided. However, consider the following suggestions for future optimizations:

1. Type Annotations: Adding type annotations can make it easier to catch errors and improve maintainability.
2. Code Readability Enhancement: Ensure that comments properly explain what each part of the function is doing.

Here's an updated version of the function incorporating these suggestions:

async function getStoreToolList() {
  // Fetch tools list from API
  const res = await ToolStoreApi.getStoreToolList({ name: searchValue.value }, loading);
  
  // Extract tags from additional properties
  const { tags } = res.data.additionalProperties;
  
  // Extract individual store tools
  const storeTools = res.data.apps;
  
  // Optimize data manipulation by flattening array
  let flattenedTools = [];
  if (tags && Array.isArray(tags)) {
    flattenedTags = [...new Set([...flattenArray(...tags), ...storeTools])];
  }
    
  // Create object mapping each tag to its associated tools
  const tagToAppsMap = {};
  flattenedTags.forEach(tag => {
    const filteredApps = storeTools.filter(app => app.tags.includes(tag));
    tagToAppsMap[tag] = filteredApps;
  });

  // Handle case where there are no store tools
  if (storeTools.length === 0) {
    filterList.value = [];
  }

  // Assign optimized data to store state or return it directly
}

Explanation:

• Optional Chaining/Nullish Coalescing: While not used in this snippet, considering using optional chaining (?. ) or nullish coalescing operators (?? ) could be beneficial if searchValue.value, loading, res.data.additionalProperties, res.data.apps, etc. might be null or undefined.
• Flattened Array: The use of flattenArray(...tags) seems unnecessary given the current context. Assuming tags is already an array or iterable, simply filtering through all elements would suffice.
• Tag Mapping: This approach groups all matching apps under their respective categories efficiently.

These adjustments aim to enhance readability and potentially performance without altering core functionality.