Update modules/code_intelligence.py

modules/code_intelligence.py

@@ -0,0 +1,976 @@
+"""
+Code Intelligence Module for AumCore AI
+Version: 1.0.0
+Author: AumCore AI
+Location: /app/modules/code_intelligence.py
+"""
+
+import ast
+import re
+import json
+import subprocess
+import tempfile
+import os
+from typing import Dict, List, Optional, Tuple, Any
+from dataclasses import dataclass, field
+from enum import Enum
+import autopep8
+import black
+from datetime import datetime
+
+class CodeLanguage(Enum):
+    """Supported programming languages"""
+    PYTHON = "python"
+    JAVASCRIPT = "javascript"
+    HTML = "html"
+    CSS = "css"
+    SQL = "sql"
+    JAVA = "java"
+    CPP = "cpp"
+    GO = "go"
+    RUST = "rust"
+
+class CodeIssueSeverity(Enum):
+    """Code issue severity levels"""
+    CRITICAL = "critical"    # Security/bug that will break
+    HIGH = "high"            # Major issue needs fixing
+    MEDIUM = "medium"        # Should be fixed
+    LOW = "low"              # Nice to have improvements
+    INFO = "info"            # Informational only
+
+@dataclass
+class CodeIssue:
+    """Code issue/improvement suggestion"""
+    line: int
+    column: int
+    severity: CodeIssueSeverity
+    message: str
+    suggestion: Optional[str] = None
+    code_snippet: Optional[str] = None
+
+@dataclass
+class CodeAnalysisResult:
+    """Result of code analysis"""
+    language: CodeLanguage
+    issues: List[CodeIssue]
+    suggestions: List[str]
+    complexity_score: float  # 0-100, lower is better
+    security_score: float    # 0-100, higher is better
+    readability_score: float # 0-100, higher is better
+    estimated_bugs: int
+
+class AumCoreCodeIntelligence:
+    """
+    Advanced Code Intelligence System
+    Analyzes, optimizes, and generates code with AI assistance
+    """
+    
+    def __init__(self):
+        self._code_patterns = self._load_code_patterns()
+        self._templates = self._load_code_templates()
+        
+    def _load_code_patterns(self) -> Dict:
+        """Load code patterns for analysis"""
+        return {
+            "security": {
+                "python": [
+                    (r"exec\(", "Avoid exec() - security risk"),
+                    (r"eval\(", "Avoid eval() - security risk"),
+                    (r"subprocess\.call.*shell=True", "Avoid shell=True - security risk"),
+                    (r"pickle\.loads", "Avoid pickle.loads() with untrusted data"),
+                    (r"input\(\)", "Validate user input() to prevent injection"),
+                    (r"os\.system", "Use subprocess.run() instead of os.system()"),
+                ],
+                "javascript": [
+                    (r"eval\(", "Avoid eval() - security risk"),
+                    (r"Function\(", "Avoid Function constructor - security risk"),
+                    (r"innerHTML.*=", "Use textContent instead of innerHTML to prevent XSS"),
+                ],
+                "sql": [
+                    (r"'.*\+.*SELECT", "Use parameterized queries to prevent SQL injection"),
+                ]
+            },
+            "performance": {
+                "python": [
+                    (r"for.*in.*range\(len\(", "Use enumerate() instead of range(len())"),
+                    (r"\.append\(\) in loop", "Consider list comprehension for better performance"),
+                    (r"global ", "Avoid global variables for better performance"),
+                ]
+            },
+            "best_practices": {
+                "python": [
+                    (r"except:", "Specify exception type instead of bare except"),
+                    (r"print\(", "Use logging module instead of print() in production"),
+                    (r"magic_number", "Use named constants instead of magic numbers"),
+                ]
+            }
+        }
+    
+    def _load_code_templates(self) -> Dict:
+        """Load code templates for generation"""
+        return {
+            "python": {
+                "web_api": """from fastapi import FastAPI, HTTPException
+from pydantic import BaseModel
+from typing import Optional
+
+app = FastAPI()
+
+class Item(BaseModel):
+    name: str
+    description: Optional[str] = None
+    price: float
+    tax: Optional[float] = None
+
+@app.get("/")
+def read_root():
+    return {{"message": "Hello World"}}
+
+@app.get("/items/{item_id}")
+def read_item(item_id: int, q: Optional[str] = None):
+    return {{"item_id": item_id, "q": q}}
+
+@app.post("/items/")
+def create_item(item: Item):
+    return item
+
+if __name__ == "__main__":
+    import uvicorn
+    uvicorn.run(app, host="0.0.0.0", port=8000)""",
+                
+                "data_processing": """import pandas as pd
+import numpy as np
+from typing import List, Dict
+
+def process_data(file_path: str) -> pd.DataFrame:
+    \"\"\"
+    Process data from CSV file
+    
+    Args:
+        file_path: Path to CSV file
+        
+    Returns:
+        Processed DataFrame
+    \"\"\"
+    try:
+        df = pd.read_csv(file_path)
+        
+        # Basic data cleaning
+        df = df.dropna()
+        df = df.drop_duplicates()
+        
+        # Add derived columns if needed
+        if 'price' in df.columns and 'quantity' in df.columns:
+            df['total'] = df['price'] * df['quantity']
+        
+        return df
+    except Exception as e:
+        raise ValueError(f"Error processing file {{file_path}}: {{e}}")
+
+def analyze_data(df: pd.DataFrame) -> Dict:
+    \"\"\"
+    Analyze DataFrame and return statistics
+    
+    Args:
+        df: Input DataFrame
+        
+    Returns:
+        Dictionary of statistics
+    \"\"\"
+    stats = {{
+        "rows": len(df),
+        "columns": list(df.columns),
+        "numeric_stats": {{}},
+        "missing_values": df.isnull().sum().to_dict()
+    }}
+    
+    # Calculate numeric column statistics
+    numeric_cols = df.select_dtypes(include=[np.number]).columns
+    for col in numeric_cols:
+        stats["numeric_stats"][col] = {{
+            "mean": df[col].mean(),
+            "median": df[col].median(),
+            "std": df[col].std(),
+            "min": df[col].min(),
+            "max": df[col].max()
+        }}
+    
+    return stats""",
+                
+                "machine_learning": """from sklearn.model_selection import train_test_split
+from sklearn.preprocessing import StandardScaler
+from sklearn.ensemble import RandomForestClassifier
+from sklearn.metrics import accuracy_score, classification_report
+import pandas as pd
+import numpy as np
+import pickle
+
+class MLModel:
+    def __init__(self):
+        self.model = RandomForestClassifier(n_estimators=100, random_state=42)
+        self.scaler = StandardScaler()
+        self.feature_names = None
+        
+    def prepare_data(self, df: pd.DataFrame, target_column: str):
+        \"\"\"Prepare data for training\"\"\"
+        X = df.drop(columns=[target_column])
+        y = df[target_column]
+        
+        self.feature_names = X.columns.tolist()
+        
+        # Split data
+        X_train, X_test, y_train, y_test = train_test_split(
+            X, y, test_size=0.2, random_state=42
+        )
+        
+        # Scale features
+        X_train_scaled = self.scaler.fit_transform(X_train)
+        X_test_scaled = self.scaler.transform(X_test)
+        
+        return X_train_scaled, X_test_scaled, y_train, y_test
+    
+    def train(self, X_train, y_train):
+        \"\"\"Train the model\"\"\"
+        self.model.fit(X_train, y_train)
+        
+    def evaluate(self, X_test, y_test):
+        \"\"\"Evaluate model performance\"\"\"
+        y_pred = self.model.predict(X_test)
+        
+        accuracy = accuracy_score(y_test, y_pred)
+        report = classification_report(y_test, y_pred, output_dict=True)
+        
+        return {{
+            "accuracy": accuracy,
+            "report": report,
+            "feature_importance": dict(zip(self.feature_names, self.model.feature_importances_))
+        }}
+    
+    def predict(self, X):
+        \"\"\"Make predictions\"\"\"
+        X_scaled = self.scaler.transform(X)
+        return self.model.predict(X_scaled)
+    
+    def save(self, path: str):
+        \"\"\"Save model to file\"\"\"
+        with open(path, 'wb') as f:
+            pickle.dump({{
+                'model': self.model,
+                'scaler': self.scaler,
+                'features': self.feature_names
+            }}, f)
+    
+    def load(self, path: str):
+        \"\"\"Load model from file\"\"\"
+        with open(path, 'rb') as f:
+            data = pickle.load(f)
+            self.model = data['model']
+            self.scaler = data['scaler']
+            self.feature_names = data['features']"""
+            },
+            "javascript": {
+                "react_component": """import React, { useState, useEffect } from 'react';
+import axios from 'axios';
+
+const MyComponent = () => {
+  const [data, setData] = useState([]);
+  const [loading, setLoading] = useState(true);
+  const [error, setError] = useState(null);
+
+  useEffect(() => {
+    const fetchData = async () => {
+      try {
+        const response = await axios.get('https://api.example.com/data');
+        setData(response.data);
+        setLoading(false);
+      } catch (err) {
+        setError(err.message);
+        setLoading(false);
+      }
+    };
+
+    fetchData();
+  }, []);
+
+  if (loading) return <div>Loading...</div>;
+  if (error) return <div>Error: {error}</div>;
+
+  return (
+    <div className="my-component">
+      <h1>Data List</h1>
+      <ul>
+        {data.map(item => (
+          <li key={item.id}>{item.name}</li>
+        ))}
+      </ul>
+    </div>
+  );
+};
+
+export default MyComponent;""",
+                
+                "node_api": """const express = require('express');
+const app = express();
+const port = 3000;
+
+// Middleware
+app.use(express.json());
+
+// Sample data
+let items = [
+  { id: 1, name: 'Item 1', description: 'First item' },
+  { id: 2, name: 'Item 2', description: 'Second item' }
+];
+
+// Routes
+app.get('/', (req, res) => {
+  res.json({ message: 'Welcome to the API' });
+});
+
+app.get('/items', (req, res) => {
+  res.json(items);
+});
+
+app.get('/items/:id', (req, res) => {
+  const item = items.find(i => i.id === parseInt(req.params.id));
+  if (!item) return res.status(404).json({ error: 'Item not found' });
+  res.json(item);
+});
+
+app.post('/items', (req, res) => {
+  const newItem = {
+    id: items.length + 1,
+    name: req.body.name,
+    description: req.body.description || ''
+  };
+  items.push(newItem);
+  res.status(201).json(newItem);
+});
+
+app.put('/items/:id', (req, res) => {
+  const item = items.find(i => i.id === parseInt(req.params.id));
+  if (!item) return res.status(404).json({ error: 'Item not found' });
+  
+  item.name = req.body.name || item.name;
+  item.description = req.body.description || item.description;
+  
+  res.json(item);
+});
+
+app.delete('/items/:id', (req, res) => {
+  items = items.filter(i => i.id !== parseInt(req.params.id));
+  res.status(204).send();
+});
+
+// Start server
+app.listen(port, () => {
+  console.log(`Server running at http://localhost:${port}`);
+});"""
+            },
+            "sql": {
+                "database_schema": """-- Users table
+CREATE TABLE users (
+    id SERIAL PRIMARY KEY,
+    username VARCHAR(50) UNIQUE NOT NULL,
+    email VARCHAR(100) UNIQUE NOT NULL,
+    password_hash VARCHAR(255) NOT NULL,
+    created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
+    updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
+    is_active BOOLEAN DEFAULT TRUE
+);
+
+-- Posts table
+CREATE TABLE posts (
+    id SERIAL PRIMARY KEY,
+    user_id INTEGER REFERENCES users(id) ON DELETE CASCADE,
+    title VARCHAR(200) NOT NULL,
+    content TEXT NOT NULL,
+    created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
+    updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
+    published BOOLEAN DEFAULT FALSE
+);
+
+-- Comments table
+CREATE TABLE comments (
+    id SERIAL PRIMARY KEY,
+    post_id INTEGER REFERENCES posts(id) ON DELETE CASCADE,
+    user_id INTEGER REFERENCES users(id) ON DELETE CASCADE,
+    content TEXT NOT NULL,
+    created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
+);
+
+-- Indexes for performance
+CREATE INDEX idx_posts_user_id ON posts(user_id);
+CREATE INDEX idx_comments_post_id ON comments(post_id);
+CREATE INDEX idx_comments_user_id ON comments(user_id);
+CREATE INDEX idx_users_email ON users(email);
+
+-- Trigger to update updated_at timestamp
+CREATE OR REPLACE FUNCTION update_updated_at_column()
+RETURNS TRIGGER AS $$
+BEGIN
+    NEW.updated_at = CURRENT_TIMESTAMP;
+    RETURN NEW;
+END;
+$$ language 'plpgsql';
+
+CREATE TRIGGER update_users_updated_at BEFORE UPDATE ON users
+    FOR EACH ROW EXECUTE FUNCTION update_updated_at_column();
+
+CREATE TRIGGER update_posts_updated_at BEFORE UPDATE ON posts
+    FOR EACH ROW EXECUTE FUNCTION update_updated_at_column();""",
+                
+                "common_queries": """-- Get all active users with their post count
+SELECT 
+    u.id,
+    u.username,
+    u.email,
+    COUNT(p.id) as post_count,
+    MAX(p.created_at) as latest_post
+FROM users u
+LEFT JOIN posts p ON u.id = p.user_id AND p.published = TRUE
+WHERE u.is_active = TRUE
+GROUP BY u.id, u.username, u.email
+ORDER BY post_count DESC;
+
+-- Get posts with comments count
+SELECT 
+    p.id,
+    p.title,
+    p.content,
+    u.username as author,
+    COUNT(c.id) as comment_count,
+    p.created_at
+FROM posts p
+JOIN users u ON p.user_id = u.id
+LEFT JOIN comments c ON p.id = c.post_id
+WHERE p.published = TRUE
+GROUP BY p.id, p.title, p.content, u.username, p.created_at
+ORDER BY p.created_at DESC;
+
+-- Search posts by keyword
+SELECT 
+    p.id,
+    p.title,
+    p.content,
+    u.username,
+    p.created_at
+FROM posts p
+JOIN users u ON p.user_id = u.id
+WHERE p.published = TRUE
+    AND (p.title ILIKE '%search_term%' OR p.content ILIKE '%search_term%')
+ORDER BY 
+    CASE 
+        WHEN p.title ILIKE '%search_term%' THEN 1
+        ELSE 2
+    END,
+    p.created_at DESC;"""
+            }
+        }
+    
+    def analyze_code(self, code: str, language: CodeLanguage = CodeLanguage.PYTHON) -> CodeAnalysisResult:
+        """
+        Analyze code for issues and improvements
+        
+        Args:
+            code: Source code to analyze
+            language: Programming language
+            
+        Returns:
+            CodeAnalysisResult with analysis details
+        """
+        issues = []
+        suggestions = []
+        
+        # Language-specific analysis
+        if language == CodeLanguage.PYTHON:
+            issues.extend(self._analyze_python_code(code))
+        elif language == CodeLanguage.JAVASCRIPT:
+            issues.extend(self._analyze_javascript_code(code))
+        
+        # General pattern matching
+        issues.extend(self._pattern_match_code(code, language.value))
+        
+        # Complexity analysis
+        complexity_score = self._calculate_complexity(code, language)
+        
+        # Security analysis
+        security_score = self._calculate_security_score(code, language, issues)
+        
+        # Readability analysis
+        readability_score = self._calculate_readability_score(code, language)
+        
+        # Estimate bugs
+        estimated_bugs = self._estimate_bugs(issues)
+        
+        # Generate suggestions
+        suggestions = self._generate_suggestions(issues, code, language)
+        
+        return CodeAnalysisResult(
+            language=language,
+            issues=issues,
+            suggestions=suggestions,
+            complexity_score=complexity_score,
+            security_score=security_score,
+            readability_score=readability_score,
+            estimated_bugs=estimated_bugs
+        )
+    
+    def _analyze_python_code(self, code: str) -> List[CodeIssue]:
+        """Analyze Python code specifically"""
+        issues = []
+        
+        try:
+            # Parse AST for deeper analysis
+            tree = ast.parse(code)
+            
+            # AST-based checks
+            for node in ast.walk(tree):
+                # Check for bare except
+                if isinstance(node, ast.ExceptHandler) and node.type is None:
+                    issues.append(CodeIssue(
+                        line=node.lineno,
+                        column=node.col_offset,
+                        severity=CodeIssueSeverity.MEDIUM,
+                        message="Bare except clause - specify exception type",
+                        suggestion="Use 'except ExceptionType:' instead of 'except:'",
+                        code_snippet=self._get_line(code, node.lineno)
+                    ))
+                
+                # Check for too many nested blocks
+                if isinstance(node, (ast.FunctionDef, ast.ClassDef)):
+                    complexity = self._calculate_function_complexity(node)
+                    if complexity > 10:
+                        issues.append(CodeIssue(
+                            line=node.lineno,
+                            column=node.col_offset,
+                            severity=CodeIssueSeverity.MEDIUM,
+                            message=f"High function complexity ({complexity})",
+                            suggestion="Consider breaking function into smaller functions",
+                            code_snippet=node.name
+                        ))
+        
+        except SyntaxError as e:
+            issues.append(CodeIssue(
+                line=e.lineno or 1,
+                column=e.offset or 1,
+                severity=CodeIssueSeverity.CRITICAL,
+                message=f"Syntax error: {e.msg}",
+                suggestion="Fix syntax error before further analysis",
+                code_snippet=self._get_line(code, e.lineno or 1)
+            ))
+        
+        return issues
+    
+    def _analyze_javascript_code(self, code: str) -> List[CodeIssue]:
+        """Analyze JavaScript code"""
+        issues = []
+        
+        # Simple regex-based checks for JS
+        patterns = [
+            (r"console\.log\(", "Remove console.log() in production code", CodeIssueSeverity.LOW),
+            (r"alert\(", "Avoid alert() - use better user feedback", CodeIssueSeverity.MEDIUM),
+            (r"document\.write", "Avoid document.write() - bad practice", CodeIssueSeverity.HIGH),
+        ]
+        
+        lines = code.split('\n')
+        for i, line in enumerate(lines, 1):
+            for pattern, message, severity in patterns:
+                if re.search(pattern, line):
+                    issues.append(CodeIssue(
+                        line=i,
+                        column=0,
+                        severity=severity,
+                        message=message,
+                        suggestion="Remove or replace with proper implementation",
+                        code_snippet=line.strip()
+                    ))
+        
+        return issues
+    
+    def _pattern_match_code(self, code: str, language: str) -> List[CodeIssue]:
+        """Pattern matching for code issues"""
+        issues = []
+        lines = code.split('\n')
+        
+        # Check security patterns
+        if language in self._code_patterns["security"]:
+            for pattern, message in self._code_patterns["security"][language]:
+                for i, line in enumerate(lines, 1):
+                    if re.search(pattern, line, re.IGNORECASE):
+                        issues.append(CodeIssue(
+                            line=i,
+                            column=0,
+                            severity=CodeIssueSeverity.HIGH,
+                            message=f"Security concern: {message}",
+                            suggestion="Use safer alternative",
+                            code_snippet=line.strip()
+                        ))
+        
+        # Check performance patterns
+        if language in self._code_patterns["performance"]:
+            for pattern, message in self._code_patterns["performance"][language]:
+                for i, line in enumerate(lines, 1):
+                    if re.search(pattern, line, re.IGNORECASE):
+                        issues.append(CodeIssue(
+                            line=i,
+                            column=0,
+                            severity=CodeIssueSeverity.MEDIUM,
+                            message=f"Performance: {message}",
+                            suggestion="Optimize for better performance",
+                            code_snippet=line.strip()
+                        ))
+        
+        return issues
+    
+    def _calculate_complexity(self, code: str, language: CodeLanguage) -> float:
+        """Calculate code complexity score (0-100, lower is better)"""
+        if language == CodeLanguage.PYTHON:
+            # Simple complexity estimation for Python
+            lines = code.split('\n')
+            if not lines:
+                return 0.0
+            
+            complexity_indicators = 0
+            for line in lines:
+                line_lower = line.lower().strip()
+                if any(keyword in line_lower for keyword in ['for ', 'while ', 'if ', 'def ', 'class ', 'try:', 'except:']):
+                    complexity_indicators += 1
+            
+            complexity = (complexity_indicators / len(lines)) * 100
+            return min(100.0, complexity)
+        
+        return 50.0  # Default
+    
+    def _calculate_security_score(self, code: str, language: CodeLanguage, issues: List[CodeIssue]) -> float:
+        """Calculate security score (0-100, higher is better)"""
+        base_score = 80.0
+        
+        # Deduct for security issues
+        security_issues = [i for i in issues if i.severity in [CodeIssueSeverity.CRITICAL, CodeIssueSeverity.HIGH]]
+        
+        deduction = len(security_issues) * 10
+        score = max(0.0, base_score - deduction)
+        
+        return score
+    
+    def _calculate_readability_score(self, code: str, language: CodeLanguage) -> float:
+        """Calculate readability score (0-100, higher is better)"""
+        lines = code.split('\n')
+        if not lines:
+            return 100.0
+        
+        # Simple readability heuristics
+        good_practices = 0
+        total_lines = len(lines)
+        
+        for line in lines:
+            line_stripped = line.strip()
+            
+            # Check for good practices
+            if line_stripped and not line_stripped.startswith('#'):
+                # Reasonable line length
+                if len(line) <= 100:
+                    good_practices += 1
+                
+                # Avoid too many spaces
+                if not line.startswith('    ' * 4):  # More than 3 indentation levels
+                    good_practices += 1
+        
+        readability = (good_practices / (total_lines * 2)) * 100
+        return min(100.0, readability)
+    
+    def _estimate_bugs(self, issues: List[CodeIssue]) -> int:
+        """Estimate number of potential bugs"""
+        bug_count = 0
+        
+        for issue in issues:
+            if issue.severity in [CodeIssueSeverity.CRITICAL, CodeIssueSeverity.HIGH]:
+                bug_count += 2
+            elif issue.severity == CodeIssueSeverity.MEDIUM:
+                bug_count += 1
+        
+        return bug_count
+    
+    def _generate_suggestions(self, issues: List[CodeIssue], code: str, language: CodeLanguage) -> List[str]:
+        """Generate improvement suggestions"""
+        suggestions = []
+        
+        if not issues:
+            suggestions.append("Code looks good! No major issues found.")
+            return suggestions
+        
+        # Group suggestions by category
+        security_issues = [i for i in issues if i.severity in [CodeIssueSeverity.CRITICAL, CodeIssueSeverity.HIGH]]
+        performance_issues = [i for i in issues if "performance" in i.message.lower()]
+        style_issues = [i for i in issues if i.severity == CodeIssueSeverity.LOW]
+        
+        if security_issues:
+            suggestions.append(f"Fix {len(security_issues)} security issues for better safety")
+        
+        if performance_issues:
+            suggestions.append(f"Address {len(performance_issues)} performance concerns")
+        
+        if style_issues:
+            suggestions.append(f"Consider {len(style_issues)} style improvements")
+        
+        # Language-specific suggestions
+        if language == CodeLanguage.PYTHON:
+            suggestions.append("Use type hints for better code clarity")
+            suggestions.append("Add docstrings to functions and classes")
+        
+        elif language == CodeLanguage.JAVASCRIPT:
+            suggestions.append("Use const/let instead of var")
+            suggestions.append("Add error handling for async operations")
+        
+        return suggestions
+    
+    def _calculate_function_complexity(self, node: ast.AST) -> int:
+        """Calculate complexity of a function/class from AST"""
+        complexity = 0
+        
+        for child in ast.walk(node):
+            if isinstance(child, (ast.If, ast.While, ast.For, ast.Try, ast.ExceptHandler)):
+                complexity += 1
+            elif isinstance(child, ast.BoolOp):
+                complexity += len(child.values) - 1
+        
+        return complexity
+    
+    def _get_line(self, code: str, line_number: int) -> str:
+        """Get specific line from code"""
+        lines = code.split('\n')
+        if 1 <= line_number <= len(lines):
+            return lines[line_number - 1]
+        return ""
+    
+    def generate_code(self, 
+                     template_type: str, 
+                     language: CodeLanguage = CodeLanguage.PYTHON,
+                     variables: Dict[str, Any] = None) -> str:
+        """
+        Generate code from template
+        
+        Args:
+            template_type: Type of template to use
+            language: Programming language
+            variables: Variables to substitute in template
+            
+        Returns:
+            Generated code
+        """
+        variables = variables or {}
+        
+        try:
+            if language.value in self._templates and template_type in self._templates[language.value]:
+                template = self._templates[language.value][template_type]
+                
+                # Simple variable substitution
+                for key, value in variables.items():
+                    placeholder = "{{" + key + "}}"
+                    template = template.replace(placeholder, str(value))
+                
+                return template
+            else:
+                return f"# Template '{template_type}' not found for {language.value}"
+        
+        except Exception as e:
+            return f"# Error generating code: {str(e)}"
+    
+    def optimize_code(self, code: str, language: CodeLanguage = CodeLanguage.PYTHON) -> str:
+        """
+        Optimize code for better performance/readability
+        
+        Args:
+            code: Source code to optimize
+            language: Programming language
+            
+        Returns:
+            Optimized code
+        """
+        if language == CodeLanguage.PYTHON:
+            try:
+                # Format with autopep8
+                optimized = autopep8.fix_code(code)
+                return optimized
+            except:
+                # Fallback to simple formatting
+                return code
+        
+        return code
+    
+    def explain_code(self, code: str, language: CodeLanguage = CodeLanguage.PYTHON, 
+                    language_output: str = "en") -> str:
+        """
+        Generate explanation of code in simple language
+        
+        Args:
+            code: Code to explain
+            language: Programming language of code
+            language_output: Output language (en/hi)
+            
+        Returns:
+            Code explanation
+        """
+        explanations = {
+            "python": {
+                "en": {
+                    "import": "Imports modules/libraries for use in code",
+                    "def": "Defines a function with given name and parameters",
+                    "class": "Defines a class/blueprint for creating objects",
+                    "if": "Conditional statement - executes code if condition is true",
+                    "for": "Loop that iterates over items in a sequence",
+                    "while": "Loop that continues while condition is true",
+                    "return": "Returns value from function",
+                    "try": "Begins exception handling block",
+                    "except": "Catches and handles exceptions",
+                },
+                "hi": {
+                    "import": "कोड में उपयोग के लिए मॉड्यूल/लाइब्रेरी आयात करता है",
+                    "def": "दिए गए नाम और पैरामीटर्स के साथ एक फ़ंक्शन को परिभाषित करता है",
+                    "class": "ऑब्जेक्ट बनाने के लिए एक क्लास/ब्लूप्रिंट को परिभाषित करता है",
+                    "if": "सशर्त स्टेटमेंट - अगर कंडीशन सही है तो कोड एक्जीक्यूट करता है",
+                    "for": "लूप जो एक सीक्वेंस में आइटम्स पर इटरेट करता है",
+                    "while": "लूप जो कंडीशन सही रहने तक जारी रहता है",
+                    "return": "फ़ंक्शन से वैल्यू रिटर्न करता है",
+                    "try": "एक्सेप्शन हैंडलिंग ब्लॉक शुरू करता है",
+                    "except": "एक्सेप्शन को कैच और हैंडल करता है",
+                }
+            }
+        }
+        
+        # Simple explanation based on keywords
+        lines = code.split('\n')
+        explanation_lines = []
+        
+        lang_key = language.value
+        output_lang = language_output if language_output in ["en", "hi"] else "en"
+        
+        explanation_dict = explanations.get(lang_key, {}).get(output_lang, {})
+        
+        for i, line in enumerate(lines, 1):
+            line_stripped = line.strip()
+            
+            if line_stripped:
+                # Find keywords in line
+                for keyword, meaning in explanation_dict.items():
+                    if keyword in line_stripped.split():
+                        explanation_lines.append(f"Line {i}: {meaning}")
+                        break
+        
+        if not explanation_lines:
+            if output_lang == "en":
+                return "Code explanation not available for this snippet."
+            else:
+                return "इस कोड स्निपेट के लिए स्पष्टीकरण उपलब्ध नहीं है।"
+        
+        if output_lang == "en":
+            header = "Code Explanation:\n"
+        else:
+            header = "कोड स्पष्टीकरण:\n"
+        
+        return header + "\n".join(explanation_lines)
+    
+    def debug_code(self, code: str, error_message: str, 
+                  language: CodeLanguage = CodeLanguage.PYTHON) -> str:
+        """
+        Suggest fixes for code errors
+        
+        Args:
+            code: Code with error
+            error_message: Error message from interpreter
+            language: Programming language
+            
+        Returns:
+            Debugging suggestions
+        """
+        suggestions = []
+        
+        # Common error patterns
+        error_patterns = {
+            "python": [
+                (r"SyntaxError", "Check for missing colons, parentheses, or quotes"),
+                (r"IndentationError", "Check indentation consistency (use 4 spaces)"),
+                (r"NameError.*not defined", "Variable/function not defined - check spelling"),
+                (r"TypeError", "Check data types and operations compatibility"),
+                (r"IndexError", "List/array index out of range"),
+                (r"KeyError", "Dictionary key not found"),
+                (r"AttributeError", "Object doesn't have the attribute/method"),
+                (r"ImportError", "Module not installed or incorrect import path"),
+                (r"ValueError", "Function received argument of right type but inappropriate value"),
+            ],
+            "javascript": [
+                (r"ReferenceError", "Variable not defined - check scope and spelling"),
+                (r"TypeError", "Value is not of expected type"),
+                (r"SyntaxError", "Check syntax - missing brackets, semicolons, etc."),
+                (r"RangeError", "Numeric value out of range"),
+            ]
+        }
+        
+        lang_key = language.value
+        if lang_key in error_patterns:
+            for pattern, suggestion in error_patterns[lang_key]:
+                if re.search(pattern, error_message, re.IGNORECASE):
+                    suggestions.append(suggestion)
+        
+        if not suggestions:
+            suggestions.append("Try checking syntax and variable names")
+            suggestions.append("Ensure all required modules/libraries are imported")
+            suggestions.append("Check data types and operations compatibility")
+        
+        return "Debug suggestions:\n- " + "\n- ".join(suggestions)
+
+# Global instance
+code_intel = AumCoreCodeIntelligence()
+
+# Helper functions for easy import
+def analyze_code(code: str, language: str = "python") -> Dict:
+    """Analyze code and return results as dictionary"""
+    lang_enum = CodeLanguage(language.lower())
+    result = code_intel.analyze_code(code, lang_enum)
+    
+    return {
+        "language": result.language.value,
+        "issues": [
+            {
+                "line": issue.line,
+                "column": issue.column,
+                "severity": issue.severity.value,
+                "message": issue.message,
+                "suggestion": issue.suggestion,
+                "code_snippet": issue.code_snippet
+            }
+            for issue in result.issues
+        ],
+        "suggestions": result.suggestions,
+        "complexity_score": result.complexity_score,
+        "security_score": result.security_score,
+        "readability_score": result.readability_score,
+        "estimated_bugs": result.estimated_bugs
+    }
+
+def generate_code_template(template_type: str, language: str = "python", 
+                          variables: Dict = None) -> str:
+    """Generate code from template"""
+    lang_enum = CodeLanguage(language.lower())
+    return code_intel.generate_code(template_type, lang_enum, variables)
+
+def explain_code_simple(code: str, language: str = "python", 
+                       output_language: str = "en") -> str:
+    """Explain code in simple terms"""
+    lang_enum = CodeLanguage(language.lower())
+    return code_intel.explain_code(code, lang_enum, output_language)
+
+# Module exports
+__all__ = [
+    'AumCoreCodeIntelligence',
+    'CodeLanguage',
+    'CodeIssueSeverity',
+    'code_intel',
+    'analyze_code',
+    'generate_code_template',
+    'explain_code_simple'
+]
+
+__version__ = "1.0.0"
+__author__ = "AumCore AI"