fix: fix the defect where the exported log field is empty

[shaohuzhang1]

fix: fix the defect where the exported log field is empty --bug=1049645 --user=王孝刚 【应用】应用编排嵌入高级编排应用，导出对话日志文件的优化后问题字段没有值 https://www.tapd.cn/57709429/s/1635887

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[shaohuzhang1]

The provided code has several potential issues and areas for optimization:

1. String Concatenation: The padding_problem_text is being constructed as a string that joins all values of nodes with type 'question-node'. This can become inefficient if there are many such nodes.

2. Empty Checks: The checks like node.get("answer", "") ensure that missing keys do not cause errors when joining strings. However, using an empty list ensures that no error occurs even if no matching nodes are found.

3. Code Clarity: The nested structure could be more readable by using a lambda function or other functional programming constructs to simplify the filtering step in search_dataset_node_list.

4. Vote Status Map: Using a dictionary for mapping vote statuses could lead to potential errors if vote statuses outside the expected set are encountered.

5. Performance Considerations: Since you mentioned performance concerns, consider using generator expressions instead of lists where possible, especially for filtering loops.

6. Docstring Improvements: Adding docstrings to static methods can help clarify their purpose and usage.

Here’s an optimized version of the code based on these considerations:

from collections import defaultdict

@staticmethod
def paragraph_list_to_string(paragraph_list):
    details = row.get('details')
    
    # Joining answer texts from question nodes
    padding_problem_text = ' '.join(
        node['answer'] for node in (d for d in details.values() if d.get('type') == 'question-node'))
    
    # Collecting search dataset nodes and steps
    search_dataset_node_list = [
        key for key, node in details.items() if node.get("type") == 'search-dataset-node'
           or node.get("step_type") == 'search_step']
    search_datasets_with_steps = {
        key: [n.get("text") for n in nodes]
        for key, nodes in search_dataset_node_list}
    
    improve_paragraph_list = row.get('improve_paragraph_list')
    
    vote_status_map = {-1: '未投票', 0: '赞同', 1: '反对'}
    vote_status_description = vote_status_map.get(int(row.get('vote_status')), '未知')

    return [ str(row.get('chat_id')),
              row.get('abstract'),
              row.get('problem_text'),
              padding_problem_text,
              '',
              vote_status_description,
              reference_paragraph_len ]

# Example update for improved documentation
def get_vote_status(vote_code):
    """
    Translates vote status numeric code into human-readable description.

    :param vote_code: Numeric code representing the voter's stance (-1, 0, 1)
    :return: Description ('未投票', '赞同', '反对') corresponding to the input code
    """
    return { -1: '未投票',
          0: '赞同',
          1: '反对' }.get(vote_code, "未知")

This updated code uses generator expressions for efficient iteration and simplifies some operations for clarity. It also adds some descriptive comments and improves the organization within the method.