Closed Umpire2018 closed 10 months ago
from charset_normalizer import from_path
# 文件路径
file_path = '.project_hierarchy.json'
# 使用 charset_normalizer 读取和修复文件编码问题
matches = from_path(file_path)
# 获取最佳匹配结果
best_match = matches.best()
print(str(best_match))
Description:
Encountered a
UnicodeDecodeError
while attempting to read content from a file that contains a mix of English and Chinese characters. The content was initially saved withutf-8
encoding but resulted in encoding errors when read back from the file.Error Message:
Issue Details: The error occurred in the
convert_to_markdown_file
method, which suggests that the file content may have been incorrectly encoded or that the file contains a mix of encodings that are not properly handled by the standardutf-8
decoder.Content Example:
A snippet from the file content includes function definitions and comments in both English and Chinese. The original content has been corrupted with a series of
����
characters, which are indicative of encoding issues.Solution Discussed: To address this issue, Maybe using
charset_normalizer
to read the file in subsequent logic operations. This approach involves using charset_normalizer to re-read the file content successfully, detecting the correct encoding, and decoding the file content properly.Proposed Changes to Workflow:
charset_normalizer
into the file-reading step of the workflow to handle files with mixed or uncertain encodings.charset_normalizer
to ensure content is correctly decoded before processing.utf-8
recommended) to prevent similar issues in the future.Additional Context: This solution aims to normalize the file content during the read operation without changing the initial file-saving behavior. By processing the encoding on read, we can handle files from various sources and encoding states more robustly.