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fix: After selecting the answer content in the AI conversation and clicking copy, it cannot be copied #2062

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merged 1 commit into from
Jan 22, 2025

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fix: After selecting the answer content in the AI conversation and clicking copy, it cannot be copied

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@shaohuzhang1 shaohuzhang1 merged commit 9bd5a22 into main Jan 22, 2025
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@shaohuzhang1 shaohuzhang1 deleted the pr@main@fix_copy branch January 22, 2025 01:57
navigator.clipboard.writeText(selectionText).then(() => {
MsgSuccess(t('common.copySuccess'))
})
}
}
}
},
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The provided code snippet is well-structured and mostly correct but can be refined for better clarity and performance:

Irregularities:

  1. Type Checking before Clipboard Operations: The condition if ( typeof navigator.clipboard === 'undefined' || typeof navigator.clipboard.writeText === 'undefined' ) ensures compatibility across different browsers. However, it might be more readable to explicitly check the presence of both properties.

  2. Handling Edge Cases: The existing conditional checks ensure that if clipboard operations are unavailable, an alternative method using an input element is used.

  3. Clarity: While clear, some variable names could potentially use words like "clipboard" instead of abbreviations ("clip") to make the intent explicit.

Potential Issues:

  • Potential Security Concerns: If clipboard access is restricted, this method using an alternative input element may not work in such environments.

  • Accessibility: Ensure that all user interactions with DOM elements are accessible and handled correctly, especially focusing on keyboard navigation and screen reader support.

Optimization Suggestions:

  • Code Readability: Consider renaming variables more clearly to improve readability, e.g., replace input with a descriptive name like textArea.

  • Error Handling: Add error handling to manage cases where copy fails, perhaps logging an error message or notifying the user in another manner.

Here's the revised version of the code incorporating these suggestions:

@@ -49,9 +49,28 @@ const menus = ref([
       const selectionText = getSelection();
       if (selectionText) {
         clearSelectedText();

         // Check for supported clipboard features
         if (!navigator.clipboard || !navigator.clipboard.writeText) {
           const textArea = document.createElement('textarea');
           textArea.setAttribute('value', selectionText);
           document.body.appendChild(textArea);

           try {
             if (document.execCommand('copy')) {
               MsgSuccess(t('common.copySuccess'));
             } else {
               console.error("Copying failed.");
             }
           } catch (error) {
             console.error("Unable to copy: ", error.message);
           }

           setTimeout(() => {
             document.body.removeChild(textArea);
           }, 100); // Remove textarea after successful copy
         } else {
           navigator.clipboard.writeText(selectionText)
             .then(() => { MsgSuccess(t('common.copySuccess')); });
         }
       }
     }
   },

By implementing these changes, the code improves its readability and robustness while maintaining functionality.

@@ -218,7 +218,8 @@ def get_block_result(message_list: List[BaseMessage],
'status') == 'designated_answer':
return AIMessage(no_references_setting.get('value').replace('{question}', problem_text)), False
if chat_model is None:
return AIMessage(_('Sorry, the AI model is not configured. Please go to the application to set up the AI model first.')), False
return AIMessage(
__('Sorry, the AI model is not configured. Please go to the application to set up the AI model first.')), False
else:
return chat_model.invoke(message_list), True

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There are no significant irregularities or issues in the provided code snippet. However, here are some suggestions for improvement:

  1. The use of gettext_lazy in place of gettext can be beneficial for reducing memory usage during translation processes.

  2. For clarity and consistency, it would be helpful to have consistent spacing between elements within functions and statements.

  3. Ensure that default values for parameters (client_id, application_id) are properly handled; they currently assume non-null if not explicitly passed. This might need additional checks based on requirements.

  4. Consider using more descriptive variable names instead of abbreviations like chat_model.

Overall, the logic is clean, but these minor improvements can enhance readability and maintainability.


prompt = _(
prompt = __(
"() contains the user's question. Answer the guessed user's question based on the context ({question}) Requirement: Output a complete question and put it in the <data></data> tag")


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The provided code is mostly correct, but there are a few improvements and minor adjustments that can be made:

  1. Translation Usage: You should consistently use gettext (__) for translations throughout the code to match the rest of your project conventions.

  2. Variable Naming Consistency: Ensure all variable names used in the code follow consistent naming patterns (e.g., snake_case).

  3. Code Readability: Adding comments where appropriate can help clarify the purpose of each section of code.

Here's an optimized version with these considerations:

from typing import Optional

from django.utils.translation import gettext as __

from application.chat_pipeline.step.reset_problem_step.i_reset_problem_step import IResetProblemStep
from application.models import ChatRecord
from common.util.split_model import flat_map
from setting.models_provider.tools import get_model_instance_by_model_user_id


def generate_prompt(user_question: str) -> str:
    return __(
        (
            "() contains the user's question. "
            "Based on the context '{question}', respond with a complete question."
            "Requirement: output a complete question and put it in the <data></data> tag"
        ),
        {
            "{question}": user_question,
        },
    )


class ResetProblemStep(IResetProblemStep):
    def execute(self, chat_record: ChatRecord) -> None:
        # Assuming this method generates and sends a prompt based on the current state of chat_record
        pass


# Example usage:
# step = ResetProblemStep()
# result = step.execute(chat_record)

Changes Made:

  • Import gettext as __: Added this line at the beginning to ensure consistency.
  • Consistent Variable Naming: Changed prompt to generate_prompt for better clarity.
  • Added Comment: Provided a brief comment explaining what the function does.
  • Function Separation: Encapsulated the prompt generation logic in a separate function generate_prompt, which makes it more maintainable and testable.

These changes enhance readability and maintainability of the code while adhering to best practices.

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