AiPy implements intelligent code error correction through a three-layer mechanism:
AST syntax tree detection
Before the code is executed, it will be executed using Python'sastThe module builds an abstract syntax tree that recognizes the following common errors:
- poorly formatted indentation
- Missing syntax symbols such as colons
- Variable not defined
- Basic grammar rule violations
LLM semantic correction
When an error is detected, the error context is sent to the configured large language model for correction suggestions. Example:
- Error Code:
for i in range(5) print(i) - Suggested amendment: additional colon
for i in range(5): print(i)
Runtime protection
Operations that may cause system problems (e.g. infinite loops, dangerous shell commands) are proactively blocked and safe alternatives are provided. For example, it willos.system('rm -rf')Change to a safe file deletion function.
This feature is especially suitable for programming novices and avoids more than 80% basic syntax errors. It has been tested to recognize typical usage errors of common libraries such as pandas with an accuracy of 92%.
This answer comes from the articleAiPy: automating the task of running Python code for data analysisThe
