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fix: The image uploaded from the workflow knowledge base zip file cannot be parsed #4505
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| files) | ||
| content_parts.append(content) | ||
| for image in _image_list: | ||
| image_list.append(image) |
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The provided code snippet looks well-structured but contains a few potential issues and areas for optimization:
Issues:
- Redundant
split_handle.support(zf, get_buffer)Check: The call toif split_handle.support(zf, get_buffer):is redundant since it has already been checked in the previous line (for split_handle in split_handles:). - Variable Shadowing: There is variable shadowing with
get_buffer. This can cause confusion and bugs if not handled carefully.
Optimization Suggestions:
- Avoid Redundant Calls: Remove the unnecessary assignment of
zf.name = real_namebefore entering the loop. - Use Proper Variable Names: Refactor variable names like
_file_list,_content_parts, and_image_listto be more descriptive and avoid shadows.
Here's an optimized version of the code with these improvements:
def get_content(self, file, save_image):
file_content_list = []
# Prepare a simple get_buffer callback, returning current raw
get_buffer = FileBufferHandle().get_buffer
for zf in zip_files:
try:
real_name = get_file_name(zf.name)
except Exception:
real_name = zf.name
for split_handle in split_handles:
if split_handle.support(zf, get_buffer):
row = get_buffer(zf)
md_text = split_handle.get_content(io.BytesIO(row), save_image)
file_content_list.append({'content': md_text, 'name': real_name})
break
content_parts = []
image_list = []
for file_content in file_content_list:
_image_list, content = get_image_list_by_content(file_content['name'], file_content.get("content"), files)
content_parts.append(content)
for image in _image_list:
image_list.append(image)This version ensures clarity by avoiding redundancy and improving readability through proper formatting and naming conventions.
| buffer = get_buffer(file) | ||
| result = detect(buffer) | ||
| if result['encoding'] is not None and result['confidence'] is not None and result['encoding'] != 'ascii' and \ | ||
| result['confidence'] > 0.5: |
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In the provided code, there are several potential issues that need attention:
-
Magic Number Usage: The line
if file_name.endswith(".md")directly compares strings using.lower(), which doesn't prevent accidental modification of file extensions on case-insensitive filesystems. -
Unfiltered File Extension Check: Adding
'.TXT'and'MD'duplicates cases with existing checks (e.g.,'md'). This could lead to redundancy. -
Buffer Loading Logic Issues:
- Potential Buffer Leak: The logic for loading the buffer (
get_buffer(file)) should be placed inside a block or method scope where it's actually used. - Buffer Overwriting: After assigning the result of
detect(buffer), you overwritebuffer. Depending on whatdetect(buffer)returns, this might not be intentional.
- Potential Buffer Leak: The logic for loading the buffer (
-
Encoding Detection: There's no further processing done after checking encoding confidence. This implies that files without good encodings will pass through without further scrutiny.
-
Return Type: A more detailed error message or handling would be beneficial when returning
False. -
File Name Index Verification: Replacing only part of the filename string (
file_name.index('.') > 0) can mask other issues related to different file formats or content.
Possible Improvements:
-
Simplify Encoding Checks:
supported_encodings = set(['utf-8', 'latin1', 'unicode_escape']) # Example supported encodings if result['encoding'] and result['encoding'].lower() in supported_encodings and result['confidence'] > 0.5: return True
-
Move Buffer Loading Inside Use Case:
class TextSplitHandle(BaseSplitHandle): def support(self, file, get_buffer): buffer = get_buffer(file) file_name: str = file.name.lower() if file_name.endswith(('.md', '.txt')): return True if file_name.startswith('.'): # Skip hidden files return False detected_encoding = detect(buffer) if detected_encoding and detected_encoding.lower() in supported_encodings and detected_encoding['confidence'] > 0.5: return True raise ValueError("Unsupported file format or encoding")
These changes improve robustness and readability while addressing some common coding issues.
fix: The image uploaded from the workflow knowledge base zip file cannot be parsed