Practical Code Inspection
Real-World Code Inspection Strategies
Practical code inspection involves analyzing function characteristics, understanding their structure, and extracting meaningful insights dynamically.
Advanced Inspection Techniques
1. Function Source Code Retrieval
import inspect
def complex_calculation(x, y):
"""Perform complex mathematical operations."""
result = x ** 2 + y
return result
## Retrieve source code
source_lines = inspect.getsource(complex_calculation)
print(source_lines)
2. Comprehensive Function Analysis
def analyze_function(func):
"""Perform comprehensive function metadata analysis."""
return {
'name': func.__name__,
'module': func.__module__,
'signature': str(inspect.signature(func)),
'docstring': func.__doc__,
'line_count': len(inspect.getsource(func).splitlines())
}
## Example usage
result = analyze_function(complex_calculation)
print(result)
Inspection Methods Comparison
Technique |
Purpose |
Complexity |
Performance |
__code__ |
Low-level details |
Low |
High |
inspect.getsource() |
Full source retrieval |
Medium |
Medium |
Custom Analysis |
Comprehensive inspection |
High |
Low |
graph TD
A[Function Inspection] --> B{Inspection Method}
B --> C[Source Code Retrieval]
B --> D[Metadata Extraction]
B --> E[Structural Analysis]
Dynamic Code Generation
def generate_function_report(func):
"""Generate a detailed report about a function."""
signature = inspect.signature(func)
parameters = list(signature.parameters.keys())
report = f"""
Function Report:
- Name: {func.__name__}
- Parameters: {parameters}
- Source Lines: {len(inspect.getsource(func).splitlines())}
"""
return report
## Example usage
print(generate_function_report(complex_calculation))
LabEx Recommended Practices
At LabEx, we emphasize combining multiple inspection techniques to gain comprehensive insights into function behavior and structure.
Error-Resistant Inspection
def safe_function_inspection(func):
"""Safely inspect function with error handling."""
try:
return {
'name': func.__name__,
'signature': str(inspect.signature(func)),
'source_lines': inspect.getsource(func)
}
except (TypeError, ValueError) as e:
return f"Inspection failed: {e}"
Practical Applications
- Automated documentation generation
- Code quality assessment
- Dynamic programming techniques
- Debugging and introspection
- Minimize repeated inspections
- Cache inspection results
- Use lightweight inspection methods
- Balance between depth and performance