fix: Defect of embedding application parameters as empty and reporting errors

[shaohuzhang1]

fix: Defect of embedding application parameters as empty and reporting errors --bug=1052184 --user=王孝刚 【github#2273】【应用】-有非必填接口传参的编排应用，作为节点加入新的编排应用后，接口传参为空时对话报错 https://www.tapd.cn/57709429/s/1654259

[shaohuzhang1]

Your code appears to be well-written and follows Python best practices for Django Rest Framework serializers. Here's a concise analysis of the code:

1. Serializer Fields:

   • The fields application_id, question_reference_address, api_input_field_list, user_input_field_list, image_list, document_list, and audio_list are correctly defined and have appropriate error messages.

2. Serializers and SerializersMixin Methods:

   • The _run() method is implemented appropriately within the context of a serializers.ModelSerializer. It extracts data from serialized objects, processes it, and calls execute.

3. Validation Logic:

   • The validation logic checks for missing file_id fields in uploaded documents, images, and audios and raises appropriate exceptions if they are missing.

4. Execution:

   • The execution function (execute) takes parameters from both node_params_serializer and flow_params_serializer, along with processed lists (documents, images, audios).

Optimization Suggestions

1. Data Handling:

   • Instead of hardcoding default values like [0] and [1.], consider using dynamic access where needed (if api_input_field['value']:). This makes the code more readable and allows for potentially cleaner handling of different input scenarios.

2. Exception Messages:

   • Ensure consistent formatting of exception messages throughout the application. You might want to use f-string interpolation or other methods to avoid repetition in strings that only change in length.

3. Code Clarity:

   • Break down complex conditional statements into smaller functions if they become too lengthy. For example, separate the logic related to processing each type of media (doc, image, audio) into distinct methods for readability.

Overall, the current implementation is robust and should meet most requirements. If you need more specific improvements or further optimizations, please let me know!

[shaohuzhang1]

The provided Python function has some issues that need to be addressed:

1. The code contains multiple places where a single dictionary access is made with indexing (e.g., api_input_field['value'][0]). This can lead to errors if the list is empty, especially since '[]' cannot be split into parts.

2. Using '''''' for multi-line strings introduces unnecessary escaping (\n).

3. There's duplication across the two loops (for user_input_field) which could be simplified by iterating over one of them.

Here are specific improvements and optimizations:

Improvements/Optimizations

1. Handle cases where values might not be present properly inside lists or dictionaries before splitting.
2. Simplify the loop iterations; they are similar except for different types of fields being checked.
3. Remove redundant checks for string content after handling default values.

Suggested Code Snippet:

def execute(self, application_id, message, chat_id, chat_record_id, stream, re_context=True):
    global_fields = []

    api_fields_list = self.node_params_serializer.data.get('api_input_field_list', [])
    user_fields_list = self.node_params_serialzier.data.get('user_input_field_list', [])

    fields_list_of_lists = [api_fields_list, user_fields_list]

    for api_user_fields in fields_list_of_lists:
        for field in api_user_fields:
            # Avoid using get on NoneType causing TypeError
            variable = field.get('variable', '').lower()
            # Check if value exists and it's not an empty string before processing
            reference_value = (
                self.workflow_manage.get_reference_field(
                    field.get('value', ['', ''])[0].strip(),
                    field.get('type', '')
                    
                    )
                
                if field.get('value', '') != '' else ''
            )

            global_fields.append({
                'label': variable,
                'key': variable,
                'value': reference_value or ''
            })

    return {
        'name': self.node.properties.get('stepName')
    }

Explanation

• Avoiding Typos: Directly accessing nested keys without checking them first ensures robustness against missing data.
• Stripping Values: Use .strip() to clean up input values and remove leading/trailing spaces.
• Conditional Checks: Ensure conditionals handle all potential scenarios correctly, including when fields lack required information or contain invalid values.
• Simplified Loops: Combining loops simplifies the logic while enhancing readability and maintainability.

This approach should resolve most detected issues and improve performance in case there are many items within the fields_list_of_lists.

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