fix: fix the defect of empty line to speech error

[shaohuzhang1]

fix: fix the defect of empty line to speech error --bug=1050760 --user=王孝刚 【应用】文本转语音使用豆包模型时，用户问题文本中间有空行，会报错 https://www.tapd.cn/57709429/s/1636230

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[shaohuzhang1]

The provided code looks generally correct. However, there is an improvement opportunity to manage the loading state more explicitly:

1. Instead of using global loading variable, pass it as a parameter to the API call. This makes testing easier and keeps components decoupled from shared state.

applicationApi.updatePlatformConfig(
  id,
  configType.value,
  form[configType.value],
  loading // Passing the loading flag
).then(() => {
  MsgSuccess('配置保存成功')
  closeDrawer()
  emit('refresh')
}).catch((error) => {
  msgError(`保存失败，错误信息: ${error.message}`); // Handling errors separately
});

This change enhances reusability and maintainability by isolating the loading state within each component.

[shaohuzhang1]

The provided function updatePlatformConfig has a couple of issues:

1. Missing Parameters:

   • The signature for updatePlatformConfig does not accept the data parameter when it is followed by an optional loading parameter.

2. Incorrect Argument Passing:

   • In the call to the post method within the implementation, there is no explicit value passed for the fourth argument (headers). It should be either undefined or explicitly set if needed.

Here's how you can fix these issues:

const updatePlatformConfig: (
  application_id: string,
  type: string,
  data: any,
  loading?: Ref<boolean>
) => Promise<Result<any>> = (application_id, type, data, loading?) => {
  // Ensure that headers remain consistent with the post request
  return post(`/platform/${application_id}/${type}`, data, undefined, loading);
}

By adding the missing parameters and ensuring that all necessary arguments are correctly passed, the code will now work as expected without errors. This modification maintains clarity and correctness in the function definition and usage.

[shaohuzhang1]

There are two small issues and one optimization suggestion in the provided code:

Issues:

1. Missing return Statement: The function _remove_empty_lines is missing a return statement at the end. This should be added to properly return the cleaned string.

2. Potential Memory Leak: The function currently uses list comprehensions to create new lists (full_text) and ' '.join(...). While this approach avoids modifying strings directly, it might not lead to efficient memory usage with very large datasets because each operation creates new objects.

Optimization Suggestion:

Instead of using list comprehensions for operations like filtering or joining strings, consider using generators when possible. Generators can reduce memory consumption since they yield results one at a time rather than creating intermediate lists.

def _remove_empty_lines(text):
    # Use generator expression to filter out empty lines
    non_empty_lines = (line for line in text.split('\n') if line.strip())
    return ''.join(non_empty_lines)

These changes will help ensure that the function behaves correctly and efficiently.