app.py

from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
import datetime
import requests
import pytz
import yaml
from tools.final_answer import FinalAnswerTool

from Gradio_UI import GradioUI

import ast
import io
import pyflakes.api
import pyflakes.reporter
from flake8.api import legacy as flake8
from mccabe import get_code_complexity

@tool
def analyze_code_complexity(code: str) -> list:
    """Analyzes the cyclomatic complexity of functions in the given code.
    
    Args:
        code: The Python source code as a string.

    Returns:
        list: A list of warnings if any function has high complexity.
    """
    tree = ast.parse(code)
    issues = []
    
    for node in ast.walk(tree):
        if isinstance(node, ast.FunctionDef):
            complexity = get_code_complexity(node, max_complexity=10)
            if complexity > 10:
                issues.append(f"High complexity: Function '{node.name}' has a cyclomatic complexity of {complexity}")
    
    return issues
    
@tool
def detect_code_issues(code: str) -> list:
    """Analyzes Python code for issues including syntax errors, style violations, 
    undefined variables, unused imports, and function complexity.
    
    Args:
        code: The Python source code to analyze.

    Returns:
        list: A list of detected issues in the code.
    """
    issues = []

    # Check for syntax errors
    try:
        ast.parse(code)
    except SyntaxError as e:
        issues.append(f"SyntaxError: {e.msg} at line {e.lineno}")

    # Use Pyflakes to detect undefined variables and unused imports
    output_stream = io.StringIO()
    reporter = pyflakes.reporter.Reporter(output_stream, output_stream)
    pyflakes.api.check(code, filename="<user_code>", reporter=reporter)
    pyflakes_output = output_stream.getvalue().strip()
    
    if pyflakes_output:
        issues.extend(pyflakes_output.split("\n"))

    # Use Flake8 for style violations (PEP8)
    flake8_style = flake8.get_style_guide(ignore=['E501'])  # Ignore line length warnings
    report = flake8_style.input_file(filename="<user_code>", lines=code.split("\n"))
    if report.total_errors > 0:
        issues.append(f"Flake8: Found {report.total_errors} style violations.")

    # Analyze function complexity
    issues.extend(analyze_code_complexity(code))

    # Check for missing docstrings
    tree = ast.parse(code)
    for node in ast.walk(tree):
        if isinstance(node, (ast.FunctionDef, ast.ClassDef)) and not ast.get_docstring(node):
            issues.append(f"Missing docstring in {node.__class__.__name__}: '{node.name}'")

    return issues

@tool
def get_current_time_in_timezone(timezone: str) -> str:
    """A tool that fetches the current local time in a specified timezone.
    Args:
        timezone: A string representing a valid timezone (e.g., 'America/New_York').
    """
    try:
        # Create timezone object
        tz = pytz.timezone(timezone)
        # Get current time in that timezone
        local_time = datetime.datetime.now(tz).strftime("%Y-%m-%d %H:%M:%S")
        return f"The current local time in {timezone} is: {local_time}"
    except Exception as e:
        return f"Error fetching time for timezone '{timezone}': {str(e)}"


final_answer = FinalAnswerTool()

# If the agent does not answer, the model is overloaded, please use another model or the following Hugging Face Endpoint that also contains qwen2.5 coder:
# model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud' 

model = HfApiModel(
max_tokens=2096,
temperature=0.5,
model_id='Qwen/Qwen2.5-Coder-32B-Instruct',# it is possible that this model may be overloaded
custom_role_conversions=None,
)


# Import tool from Hub
image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)

with open("prompts.yaml", 'r') as stream:
    prompt_templates = yaml.safe_load(stream)
    
agent = CodeAgent(
    model=model,
    tools=[final_answer], ## add your tools here (don't remove final answer)
    max_steps=6,
    verbosity_level=1,
    grammar=None,
    planning_interval=None,
    name=None,
    description=None,
    prompt_templates=prompt_templates
)


GradioUI(agent).launch()