WeTextProcessing Runtime
WeTextProcessing Runtime is a Python library providing text processing capabilities, including tokenization, POS tagging, and NER. It focuses on functionalities often relevant for Chinese text due to its dependencies on libraries like `jieba` and `hanlp`. The current version is `0.1.2`, and its development appears to be abandoned, with the last commit dating back to March 2022.
Common errors
-
ModuleNotFoundError: No module named 'hanlp'
cause The `hanlp` package, specifically version `0.0.0a11`, failed to install correctly during `pip install wetext`. This is a common issue with very old alpha dependencies.fixTry installing `hanlp==0.0.0a11` separately: `pip install hanlp==0.0.0a11`. If it fails, check your Python version (e.g., Python 3.7-3.9 might have better luck) or consider using a different HanLP version and manually patching `wetext` (if feasible) or finding an alternative library. -
ImportError: cannot import name 'WeTextProcessing' from 'wetext' (unknown location)
cause Incorrect import path or `wetext` was not correctly installed.fixEnsure `wetext` is installed (`pip install wetext`) and that the import statement is `from wetext import WeTextProcessing`. -
AttributeError: 'WeTextProcessing' object has no attribute 'process'
cause The `process` method is the primary entry point for text processing, but it might be called incorrectly or the object initialized improperly.fixVerify the quickstart example and ensure `wetext = WeTextProcessing()` is correctly initialized before calling `wetext.process(text)`.
Warnings
- breaking The library explicitly depends on `hanlp==0.0.0a11`, which is a very old alpha version. This specific version is known to be difficult to install, may have security vulnerabilities, or could conflict with newer Python versions or other dependencies.
- gotcha The `wetext` library appears to be abandoned since March 2022 (version 0.1.2). This means there are no ongoing bug fixes, security updates, or compatibility improvements for newer Python versions or upstream dependencies.
- gotcha Minimal documentation is available, primarily consisting of the README. This makes it challenging to understand the full capabilities, internal workings, or advanced configuration options of the `WeTextProcessing` class.
Install
-
pip install wetext
Imports
- WeTextProcessing
from wetext import WeTextProcessing
Quickstart
from wetext import WeTextProcessing
# Create a WeTextProcessing object
wetext = WeTextProcessing()
# Process text
text = "This is a sample text for WeTextProcessing."
result = wetext.process(text)
# Print the result
print(f"Processed text: {result}")