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analyzer.py
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analyzer.py
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import openai
import subprocess
import os
import re
import ast
import openai
# Set up your OpenAI API key
openai.api_key = 'YOUR_OPENAI_API_KEY'
def capture_terminal_output(command):
try:
result = subprocess.run(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True)
return result.stdout + result.stderr
except Exception as e:
return f"Error capturing terminal output: {str(e)}"
def analyze_and_fix_django_project(project_path):
# Placeholder for Django project analysis and fixing
files = get_all_files(project_path)
for file_path in files:
with open(file_path, 'r') as file:
file_content = file.read()
# Actual code analysis logic
detected_issues = analyze_code(file_content)
if detected_issues:
print(f"Detected Issues in {file_path}:")
for issue in detected_issues:
print(f" - {issue}")
# Suggest fixes using OpenAI GPT-3
suggested_fix = suggest_fix(issue)
print(f" Suggested Fix: {suggested_fix}")
# Execute necessary commands based on detected issues
execute_necessary_commands(project_path, detected_issues)
def analyze_code(code):
tree = ast.parse(code)
# Placeholder for detected issues
detected_issues = []
# Check for unused imports
for node in ast.walk(tree):
if isinstance(node, ast.Import) or isinstance(node, ast.ImportFrom):
for alias in node.names:
if alias.asname is not None:
# Report an import with an alias (asname) as unused
detected_issues.append(f"Unused import: {alias.asname}")
else:
# Report an import without an alias as unused
detected_issues.append(f"Unused import: {alias.name}")
# Check for unused variables
for node in ast.walk(tree):
if isinstance(node, ast.FunctionDef):
# Ignore variables in function definitions for simplicity
continue
if isinstance(node, ast.Assign):
for target in node.targets:
if isinstance(target, ast.Name):
variable_name = target.id
if not is_variable_used(variable_name, tree):
detected_issues.append(f"Unused variable: {variable_name}")
# Check for undefined variables
undefined_variables = set()
for node in ast.walk(tree):
if isinstance(node, ast.Name):
variable_name = node.id
if not is_variable_defined(variable_name, tree):
undefined_variables.add(variable_name)
for variable_name in undefined_variables:
detected_issues.append(f"Undefined variable: {variable_name}")
return detected_issues
def is_variable_used(variable_name, tree):
for node in ast.walk(tree):
if isinstance(node, ast.Name) and node.id == variable_name:
# Variable is used
return True
return False
def is_variable_defined(variable_name, tree):
for node in ast.walk(tree):
if isinstance(node, ast.FunctionDef):
# Ignore variables defined in function definitions for simplicity
continue
if isinstance(node, ast.Assign):
for target in node.targets:
if isinstance(target, ast.Name) and target.id == variable_name:
# Variable is defined
return True
return False
def get_all_files(directory):
all_files = []
for root, dirs, files in os.walk(directory):
for file in files:
if file.endswith(".py"):
all_files.append(os.path.join(root, file))
return all_files
def detect_errors(detected_error):
# Placeholder for error detection logic
explanation_prompt = f"Explain the error: '{detected_error}'"
error_explanation = get_gpt3_response(explanation_prompt)
return error_explanation
def execute_necessary_commands():
# Placeholder for executing necessary commands
print("Executing necessary commands to resolve issues.")
def suggest_fix(issue):
# Use OpenAI GPT-3 to suggest a fix for the detected issue
prompt = f"Suggest a fix for the issue: '{issue}'"
try:
response = openai.Completion.create(
engine="text-davinci-003",
prompt=prompt,
max_tokens=150
)
suggested_fix = response.choices[0].text.strip()
return suggested_fix
except Exception as e:
# Handle API request errors
print(f"Error communicating with OpenAI API: {str(e)}")
return f"Unable to suggest a fix for the issue: '{issue}'"
def get_gpt3_response(prompt):
response = openai.Completion.create(
engine="text-davinci-003",
prompt=prompt,
max_tokens=150
)
return response.choices[0].text.strip()
def execute_necessary_commands(file_path, detected_issues):
# Placeholder for executing necessary commands to automatically fix issues
for issue in detected_issues:
if "Django specific issue" in issue:
# Placeholder for executing Django management commands
django_command = "python manage.py your_django_command"
result = run_command(django_command)
if result.success:
print(f"Successfully executed Django command: {django_command}")
else:
print(f"Error executing Django command: {django_command}")
print(f"Command Output:\n{result.output}")
elif "Other type of issue" in issue:
# Placeholder for handling other types of issues and their fixes
pass
def run_command(command):
try:
result = subprocess.run(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, shell=True, text=True)
return CommandResult(success=(result.returncode == 0), output=result.stdout)
except Exception as e:
return CommandResult(success=False, output=f"Error executing command: {str(e)}")
class CommandResult:
def __init__(self, success, output):
self.success = success
self.output = output
def remove_unused_imports(file_path):
with open(file_path, 'r') as file:
lines = file.readlines()
with open(file_path, 'w') as file:
for line in lines:
if "Unused import" not in line:
file.write(line)
def remove_unused_variables(file_path, unused_variable_issue):
# Placeholder logic for removing unused variables
# For demonstration purposes, you can implement more sophisticated logic here
print(f"Removing unused variable: {unused_variable_issue}")
if __name__ == "__main__":
# Run the analyzer for a Django project in the current directory
analyze_and_fix_django_project(".")