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fix: The tool in the application export loop body has not been exported

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f2c-ci-robot bot commented Oct 11, 2025

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@shaohuzhang1 shaohuzhang1 merged commit 301785b into v2 Oct 11, 2025
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@shaohuzhang1 shaohuzhang1 deleted the pr@v2@fix_workflow_export branch October 11, 2025 08:21
**application.stt_model_params_setting)
text = model.speech_to_text(instance.get('file'))
return text

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The code you provided appears to be part of an application or service that handles various functionalities such as data export, publication, and speech-to-text conversion. Here's a checklist of common areas where improvements can be made:

Code Improvements

  1. Exception Handling: The current implementation doesn't include exception handling. Adding try-except blocks will help catch and deal with any errors during database queries or external calls.

  2. String Encoding: When hashing a string using hashlib, it is important to ensure consistent behavior across platforms. Consider encoding the UUID universally as UTF-8.

  3. Loop Optimization: The use of comprehension lists and reduce might not be necessary for this specific case since you only need to extend one list based on certain conditions. A simpler approach should suffice.

  4. Parameter Initialization: Ensure that all dictionaries used within loops (like application_stt_model_params_setting) are initialized before use to avoid potential key errors.

  5. Security Concerns: Make sure sensitive operations like generating access tokens involve secure practices, especially when dealing with authentication and authorization.

  6. Code DRY Principle: There are repeated sections like checking if a token exists and saving it. Consider abstracting these into separate methods or functions to maintain clean and modular code.

Optimizations

  • Database Query Efficiency: Minimize database round trips by fetching related objects in bulk rather than individual records.

  • Data Validation: Add input validation checks at the beginning of your methods to ensure that inputs meet expected criteria before processing.

Here’s an example of how some of these improvements could look:

import hashlib
import uuid
from functools import reduce

def export(self, with_valid=True):
    try:
        application = QuerySet(Application).filter(id=application_id).first()
        tool_id_list = [node['properties']['node_data'].get('tool_lib_id') 
                         for node in reduce(lambda x, y: [*x, *y], 
                                            ([n for n in nodes if n['type'] == 'tool-lib-node']] 
                                             + [n.get('properties', {}).get('node_data', {}).get('loop_body', {}).get('nodes', [])] 
                                             for nodes in application.work_flow.get('nodes', [])), [])
        
        tool_list = []
        if len(tool_id_list) > 0:
            # Process tools ...
    
    except Exception as e:
        # Log error ...
        print(f"Error exporting data: {e}")

# Similar improvement for other functions...

These changes improve robustness, security, and efficiency while maintaining clarity and readability.

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