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b7fb07f feac656 b7fb07f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 | """
Python Generator Agent - Uses LLM to generate equivalent Python code from Ada analysis.
"""
from smolagents import ToolCallingAgent
class PythonGeneratorAgent:
"""Agent responsible for generating Python code from Ada analysis using LLM."""
def __init__(self, model):
self.model = model
self.agent = ToolCallingAgent(
tools=[],
model=model
)
def generate_python_code(self, ada_code: str, parsed_analysis: str, semantic_analysis: str) -> str:
"""
Generate Python code equivalent to the Ada code using LLM.
Args:
ada_code: The original Ada source code
parsed_analysis: Structural analysis from parser agent
semantic_analysis: Semantic analysis from semantic agent
Returns:
Pure Python code string without markdown formatting
"""
try:
prompt = f"""
Generate equivalent Python code for the given Ada code based on the analysis provided.
Requirements:
- Return ONLY pure Python code, no markdown or explanations
- Include proper imports at the top
- Use Python best practices and idiomatic code
- Add type hints where appropriate
- Include docstrings for functions and classes
- Convert Ada types to appropriate Python equivalents:
* Ada records β Python dataclasses or classes
* Ada arrays β Python lists or numpy arrays
* Ada enumerations β Python Enum classes
* Ada procedures β Python functions returning None
* Ada functions β Python functions with return types
Original Ada Code:
```ada
{ada_code}
```
Structural Analysis:
{parsed_analysis}
Semantic Analysis:
{semantic_analysis}
Generate the Python code:
"""
result = self.agent.run(prompt)
return result if isinstance(result, str) else str(result)
except Exception as e:
return f"# Error\n\nFailed to generate Python code: {str(e)}" |