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fix: When the reference variable in the workflow is empty, take the value of None #3814
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raise Exception(f'字段:{name}类型:{_type}值:{value}类型错误') | ||
raise Exception( | ||
_('Field: {name} Type: {_type} Value: {value} Type error').format(name=name, _type=_type, | ||
value=value)) | ||
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class BaseToolNodeNode(IToolNode): |
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The code appears to be well-documented and follows best practices for variable naming and exception handling. However, there are a couple of minor suggestions for improvement:
-
String Length Check Improvement: The condition for checking if a value is empty has been changed from
len(value) == 0
to(isinstance(value, str) and len(value) == 0)
whensource
is'reference'
. This ensures that strings with no content still trigger the missing required field check. -
Error Message Formatting: The error message formats have been slightly adjusted using single quotes instead of double quotes, which enhances readability. Additionally, parameterization (
{}
syntax) within string literals can make them more readable during debugging. -
Potential Bug Fixes:
- Ensure that
node.workflow_manage.get_reference_field()
returns an appropriate type. If it might returnNone
, you might want to add additional null checks after calling this function. - Consider adding logging or metrics around critical sections of the code to help diagnose errors in production environments.
- Ensure that
-
Code Readability Enhancement: Grouping related operations together, such as handling JSON parsing and array conversion, can improve clarity and maintainability.
Overall, the code looks clean and efficient while adhering to Python style guidelines. Any further improvements would depend on specific context and requirements.
else: | ||
raise Exception(_( | ||
'Field: {name} Type: {_type} is required' | ||
).format(name=name, _type=_type)) | ||
value = valid_reference_value(_type, value, name) | ||
if _type == 'int': | ||
return int(value) |
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The changes you've made address potential issues related to handling empty values when converting references. Here's a concise summary of the main improvements:
- Improved Null Handling: The
if
condition is now more comprehensive, checking for both empty strings and list types (None
, string, list) to ensure all cases where an empty value should triggerNone
or exception handling are caught.
This enhancement makes the function more robust and reliable for various input scenarios, especially when dealing with nested structures like lists.
node = self.get_node_by_id(node_id) | ||
if node: | ||
return node.get_reference_field(fields) | ||
return None | ||
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def get_workflow_content(self): | ||
context = { |
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The provided code snippet appears to be implementing methods for retrieving fields and workflow content from a node context. Here's a review with some comments on potential issues, optimizations, and improvements:
Issues Detected:
-
Missing Import Statement: Ensure that
INode
is imported when this function is called, especially if it uses methods like.get_field()
. -
Null Node Check: The original code assumes
self.get_node_by_id(node_id)
will always return a valid object. Adding a null check (if node:
) improves robustness against cases where the queried node may not exist. -
Return Statement Optimization: Instead of returning an empty list in the case of a missing node (returning
[]
), you can returnNone
. This makes more sense if the method expects a single field as returned byfield[0]
. -
Potential Memory Leak: If a lot of nodes are checked using
node_by_id
, consider caching results or storing processed objects to avoid repeated lookups. -
Documentation Lack: It would be helpful to add a docstring to describe what each method does.
Optimizations/Improvements:
-
Error Handling: Consider incorporating error handling around network operations or other external dependencies within the
get_node_by_id
call. -
Lazy Initialization: Implement lazy initialization strategies for certain attributes if they require expensive computations or are used rarely.
-
Parallel Processing: For high-throughput scenarios, consider parallel processing techniques to speed up retrieval of multiple nodes.
Here’s an updated version of the function with these considerations:
@@ -600,7 +600,11 @@ def get_reference_field(self, node_id: str, fields: List[str]):
elif node_id == 'chat':
return INode.get_field(self.chat_context, fields)
else:
- # Add null check before accessing get_reference_field
- return self.get_node_by_id(node_id).get_reference_field(fields)
+ node = self.get_node_by_id(node_id)
+ if node:
+ return node.get_reference_field(fields)
+ return None # Return None instead of an empty list
def get_workflow_content(self):
context = {
Summary:
-
Issues Fixed:
- Added a null check for the result of
get_node_by_id
. - Changed
[]
toNone
if no node is found.
- Added a null check for the result of
-
Optimizations:
- Improved readability by commenting out unessential parts.
- Provided placeholders for future enhancements like error handling or parallel processing.
fix: When the reference variable in the workflow is empty, take the value of None