#!/usr/bin/env python3
"""
Code Analyzer for GitHub Repositories

Extracts code signatures at configurable depth levels:
- surface: File tree only (existing behavior)
- deep: Parse files for signatures, parameters, types
- full: Complete AST analysis (future enhancement)

Supports 9 programming languages with language-specific parsers:
- Python (AST-based, production quality)
- JavaScript/TypeScript (regex-based)
- C/C++ (regex-based)
- C# (regex-based, inspired by Microsoft C# spec)
- Go (regex-based, Go language spec)
- Rust (regex-based, Rust reference)
- Java (regex-based, Oracle Java spec)
- Ruby (regex-based, Ruby documentation)
- PHP (regex-based, PHP reference)

Note: Regex-based parsers are simplified implementations. For production use,
consider using dedicated parsers (tree-sitter, language-specific AST libraries).
"""

import ast
import contextlib
import logging
import re
from dataclasses import asdict, dataclass
from typing import Any

logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)


@dataclass
class Parameter:
    """Represents a function parameter."""

    name: str
    type_hint: str | None = None
    default: str | None = None


@dataclass
class FunctionSignature:
    """Represents a function/method signature."""

    name: str
    parameters: list[Parameter]
    return_type: str | None = None
    docstring: str | None = None
    line_number: int | None = None
    is_async: bool = False
    is_method: bool = False
    decorators: list[str] = None

    def __post_init__(self):
        if self.decorators is None:
            self.decorators = []


@dataclass
class ClassSignature:
    """Represents a class signature."""

    name: str
    base_classes: list[str]
    methods: list[FunctionSignature]
    docstring: str | None = None
    line_number: int | None = None


class CodeAnalyzer:
    """
    Analyzes code at different depth levels.
    """

    def __init__(self, depth: str = "surface"):
        """
        Initialize code analyzer.

        Args:
            depth: Analysis depth ('surface', 'deep', 'full')
        """
        self.depth = depth

    def analyze_file(self, file_path: str, content: str, language: str) -> dict[str, Any]:
        """
        Analyze a single file based on depth level.

        Args:
            file_path: Path to file in repository
            content: File content as string
            language: Programming language (Python, JavaScript, C#, Go, Rust, Java, Ruby, PHP, etc.)

        Returns:
            Dict containing extracted signatures
        """
        if self.depth == "surface":
            return {}  # Surface level doesn't analyze individual files

        logger.debug(f"Analyzing {file_path} (language: {language}, depth: {self.depth})")

        try:
            if language == "Python":
                return self._analyze_python(content, file_path)
            elif language == "GDScript":
                # GDScript has Godot-specific syntax, use dedicated parser
                return self._analyze_gdscript(content, file_path)
            elif language == "GodotScene":
                return self._analyze_godot_scene(content, file_path)
            elif language == "GodotResource":
                return self._analyze_godot_resource(content, file_path)
            elif language == "GodotShader":
                return self._analyze_godot_shader(content, file_path)
            elif language in ["JavaScript", "TypeScript"]:
                return self._analyze_javascript(content, file_path)
            elif language in ["C", "C++"]:
                return self._analyze_cpp(content, file_path)
            elif language == "C#":
                return self._analyze_csharp(content, file_path)
            elif language == "Go":
                return self._analyze_go(content, file_path)
            elif language == "Rust":
                return self._analyze_rust(content, file_path)
            elif language == "Java":
                return self._analyze_java(content, file_path)
            elif language == "Ruby":
                return self._analyze_ruby(content, file_path)
            elif language == "PHP":
                return self._analyze_php(content, file_path)
            else:
                logger.debug(f"No analyzer for language: {language}")
                return {}
        except Exception as e:
            logger.warning(f"Error analyzing {file_path}: {e}")
            return {}

    def _analyze_python(self, content: str, file_path: str) -> dict[str, Any]:
        """Analyze Python file using AST."""
        try:
            tree = ast.parse(content)
        except SyntaxError as e:
            logger.debug(f"Syntax error in {file_path}: {e}")
            return {}

        classes = []
        functions = []

        for node in ast.walk(tree):
            if isinstance(node, ast.ClassDef):
                class_sig = self._extract_python_class(node)
                classes.append(asdict(class_sig))
            elif isinstance(node, (ast.FunctionDef, ast.AsyncFunctionDef)):
                # Only top-level functions (not methods)
                # Fix AST parser to check isinstance(parent.body, list) before 'in' operator
                is_method = False
                try:
                    is_method = any(
                        isinstance(parent, ast.ClassDef)
                        for parent in ast.walk(tree)
                        if hasattr(parent, "body")
                        and isinstance(parent.body, list)
                        and node in parent.body
                    )
                except (TypeError, AttributeError):
                    # If body is not iterable or check fails, assume it's a top-level function
                    is_method = False

                if not is_method:
                    func_sig = self._extract_python_function(node)
                    functions.append(asdict(func_sig))

        # Extract comments
        comments = self._extract_python_comments(content)

        return {"classes": classes, "functions": functions, "comments": comments}

    def _extract_python_class(self, node: ast.ClassDef) -> ClassSignature:
        """Extract class signature from AST node."""
        # Extract base classes
        bases = []
        for base in node.bases:
            if isinstance(base, ast.Name):
                bases.append(base.id)
            elif isinstance(base, ast.Attribute):
                bases.append(
                    f"{base.value.id}.{base.attr}" if hasattr(base.value, "id") else base.attr
                )

        # Extract methods
        methods = []
        for item in node.body:
            if isinstance(item, (ast.FunctionDef, ast.AsyncFunctionDef)):
                method_sig = self._extract_python_function(item, is_method=True)
                methods.append(method_sig)

        # Extract docstring
        docstring = ast.get_docstring(node)

        return ClassSignature(
            name=node.name,
            base_classes=bases,
            methods=methods,
            docstring=docstring,
            line_number=node.lineno,
        )

    def _extract_python_function(self, node, is_method: bool = False) -> FunctionSignature:
        """Extract function signature from AST node."""
        # Extract parameters
        params = []
        for arg in node.args.args:
            param_type = None
            if arg.annotation:
                param_type = ast.unparse(arg.annotation) if hasattr(ast, "unparse") else None

            params.append(Parameter(name=arg.arg, type_hint=param_type))

        # Extract defaults
        defaults = node.args.defaults
        if defaults:
            # Defaults are aligned to the end of params
            num_no_default = len(params) - len(defaults)
            for i, default in enumerate(defaults):
                param_idx = num_no_default + i
                if param_idx < len(params):
                    try:
                        params[param_idx].default = (
                            ast.unparse(default) if hasattr(ast, "unparse") else str(default)
                        )
                    except Exception:
                        params[param_idx].default = "..."

        # Extract return type
        return_type = None
        if node.returns:
            with contextlib.suppress(Exception):
                return_type = ast.unparse(node.returns) if hasattr(ast, "unparse") else None

        # Extract decorators
        decorators = []
        for decorator in node.decorator_list:
            try:
                if hasattr(ast, "unparse"):
                    decorators.append(ast.unparse(decorator))
                elif isinstance(decorator, ast.Name):
                    decorators.append(decorator.id)
            except Exception:
                pass

        # Extract docstring
        docstring = ast.get_docstring(node)

        return FunctionSignature(
            name=node.name,
            parameters=params,
            return_type=return_type,
            docstring=docstring,
            line_number=node.lineno,
            is_async=isinstance(node, ast.AsyncFunctionDef),
            is_method=is_method,
            decorators=decorators,
        )

    def _analyze_javascript(self, content: str, _file_path: str) -> dict[str, Any]:
        """
        Analyze JavaScript/TypeScript file using regex patterns.

        Note: This is a simplified approach. For production, consider using
        a proper JS/TS parser like esprima or ts-morph.
        """
        classes = []
        functions = []

        # Extract class definitions
        class_pattern = r"class\s+(\w+)(?:\s+extends\s+(\w+))?\s*\{"
        for match in re.finditer(class_pattern, content):
            class_name = match.group(1)
            base_class = match.group(2) if match.group(2) else None

            # Try to extract methods (simplified)
            class_block_start = match.end()
            # This is a simplification - proper parsing would track braces
            class_block_end = content.find("}", class_block_start)
            if class_block_end != -1:
                class_body = content[class_block_start:class_block_end]
                methods = self._extract_js_methods(class_body)
            else:
                methods = []

            classes.append(
                {
                    "name": class_name,
                    "base_classes": [base_class] if base_class else [],
                    "methods": methods,
                    "docstring": None,
                    "line_number": content[: match.start()].count("\n") + 1,
                }
            )

        # Extract top-level functions
        func_pattern = r"(?:async\s+)?function\s+(\w+)\s*\(([^)]*)\)"
        for match in re.finditer(func_pattern, content):
            func_name = match.group(1)
            params_str = match.group(2)
            is_async = "async" in match.group(0)

            params = self._parse_js_parameters(params_str)

            functions.append(
                {
                    "name": func_name,
                    "parameters": params,
                    "return_type": None,  # JS doesn't have type annotations (unless TS)
                    "docstring": None,
                    "line_number": content[: match.start()].count("\n") + 1,
                    "is_async": is_async,
                    "is_method": False,
                    "decorators": [],
                }
            )

        # Extract arrow functions assigned to const/let
        arrow_pattern = r"(?:const|let|var)\s+(\w+)\s*=\s*(?:async\s+)?\(([^)]*)\)\s*=>"
        for match in re.finditer(arrow_pattern, content):
            func_name = match.group(1)
            params_str = match.group(2)
            is_async = "async" in match.group(0)

            params = self._parse_js_parameters(params_str)

            functions.append(
                {
                    "name": func_name,
                    "parameters": params,
                    "return_type": None,
                    "docstring": None,
                    "line_number": content[: match.start()].count("\n") + 1,
                    "is_async": is_async,
                    "is_method": False,
                    "decorators": [],
                }
            )

        # Extract comments
        comments = self._extract_js_comments(content)

        return {"classes": classes, "functions": functions, "comments": comments}

    def _extract_js_methods(self, class_body: str) -> list[dict]:
        """Extract method signatures from class body."""
        methods = []

        # Match method definitions
        method_pattern = r"(?:async\s+)?(\w+)\s*\(([^)]*)\)"
        for match in re.finditer(method_pattern, class_body):
            method_name = match.group(1)
            params_str = match.group(2)
            is_async = "async" in match.group(0)

            # Skip constructor keyword detection
            if method_name in ["if", "for", "while", "switch"]:
                continue

            params = self._parse_js_parameters(params_str)

            methods.append(
                {
                    "name": method_name,
                    "parameters": params,
                    "return_type": None,
                    "docstring": None,
                    "line_number": None,
                    "is_async": is_async,
                    "is_method": True,
                    "decorators": [],
                }
            )

        return methods

    def _parse_js_parameters(self, params_str: str) -> list[dict]:
        """Parse JavaScript parameter string."""
        params = []

        if not params_str.strip():
            return params

        # Split by comma (simplified - doesn't handle complex default values)
        param_list = [p.strip() for p in params_str.split(",")]

        for param in param_list:
            if not param:
                continue

            # Check for default value
            if "=" in param:
                name, default = param.split("=", 1)
                name = name.strip()
                default = default.strip()
            else:
                name = param
                default = None

            # Check for type annotation (TypeScript)
            type_hint = None
            if ":" in name:
                name, type_hint = name.split(":", 1)
                name = name.strip()
                type_hint = type_hint.strip()

            params.append({"name": name, "type_hint": type_hint, "default": default})

        return params

    def _analyze_cpp(self, content: str, _file_path: str) -> dict[str, Any]:
        """
        Analyze C/C++ header file using regex patterns.

        Note: This is a simplified approach focusing on header files.
        For production, consider using libclang or similar.
        """
        classes = []
        functions = []

        # Extract class definitions (simplified - doesn't handle nested classes)
        class_pattern = r"class\s+(\w+)(?:\s*:\s*public\s+(\w+))?\s*\{"
        for match in re.finditer(class_pattern, content):
            class_name = match.group(1)
            base_class = match.group(2) if match.group(2) else None

            classes.append(
                {
                    "name": class_name,
                    "base_classes": [base_class] if base_class else [],
                    "methods": [],  # Simplified - would need to parse class body
                    "docstring": None,
                    "line_number": content[: match.start()].count("\n") + 1,
                }
            )

        # Extract function declarations
        func_pattern = r"(\w+(?:\s*\*|\s*&)?)\s+(\w+)\s*\(([^)]*)\)"
        for match in re.finditer(func_pattern, content):
            return_type = match.group(1).strip()
            func_name = match.group(2)
            params_str = match.group(3)

            # Skip common keywords
            if func_name in ["if", "for", "while", "switch", "return"]:
                continue

            params = self._parse_cpp_parameters(params_str)

            functions.append(
                {
                    "name": func_name,
                    "parameters": params,
                    "return_type": return_type,
                    "docstring": None,
                    "line_number": content[: match.start()].count("\n") + 1,
                    "is_async": False,
                    "is_method": False,
                    "decorators": [],
                }
            )

        # Extract comments
        comments = self._extract_cpp_comments(content)

        return {"classes": classes, "functions": functions, "comments": comments}

    def _parse_cpp_parameters(self, params_str: str) -> list[dict]:
        """Parse C++ parameter string."""
        params = []

        if not params_str.strip() or params_str.strip() == "void":
            return params

        # Split by comma (simplified)
        param_list = [p.strip() for p in params_str.split(",")]

        for param in param_list:
            if not param:
                continue

            # Check for default value
            default = None
            if "=" in param:
                param, default = param.rsplit("=", 1)
                param = param.strip()
                default = default.strip()

            # Extract type and name (simplified)
            # Format: "type name" or "type* name" or "type& name"
            parts = param.split()
            if len(parts) >= 2:
                param_type = " ".join(parts[:-1])
                param_name = parts[-1]
            else:
                param_type = param
                param_name = "unknown"

            params.append({"name": param_name, "type_hint": param_type, "default": default})

        return params

    def _extract_python_comments(self, content: str) -> list[dict]:
        """
        Extract Python comments (# style).

        Returns list of comment dictionaries with line number, text, and type.
        """
        comments = []

        for i, line in enumerate(content.splitlines(), 1):
            stripped = line.strip()

            # Skip shebang and encoding declarations
            if stripped.startswith("#!") or stripped.startswith("#") and "coding" in stripped:
                continue

            # Extract regular comments
            if stripped.startswith("#"):
                comment_text = stripped[1:].strip()
                comments.append({"line": i, "text": comment_text, "type": "inline"})

        return comments

    def _extract_js_comments(self, content: str) -> list[dict]:
        """
        Extract JavaScript/TypeScript comments (// and /* */ styles).

        Returns list of comment dictionaries with line number, text, and type.
        """
        comments = []

        # Extract single-line comments (//)
        for match in re.finditer(r"//(.+)$", content, re.MULTILINE):
            line_num = content[: match.start()].count("\n") + 1
            comment_text = match.group(1).strip()

            comments.append({"line": line_num, "text": comment_text, "type": "inline"})

        # Extract multi-line comments (/* */)
        for match in re.finditer(r"/\*(.+?)\*/", content, re.DOTALL):
            start_line = content[: match.start()].count("\n") + 1
            comment_text = match.group(1).strip()

            comments.append({"line": start_line, "text": comment_text, "type": "block"})

        return comments

    def _extract_cpp_comments(self, content: str) -> list[dict]:
        """
        Extract C++ comments (// and /* */ styles, same as JavaScript).

        Returns list of comment dictionaries with line number, text, and type.
        """
        # C++ uses the same comment syntax as JavaScript
        return self._extract_js_comments(content)

    def _analyze_csharp(self, content: str, _file_path: str) -> dict[str, Any]:
        """
        Analyze C# file using regex patterns.

        Note: This is a simplified regex-based approach. For production use with Unity/ASP.NET,
        consider using tree-sitter-c-sharp or Roslyn via pythonnet for more accurate parsing.

        Regex patterns inspired by C# language specification:
        https://learn.microsoft.com/en-us/dotnet/csharp/language-reference/
        """
        classes = []
        functions = []

        # Extract class definitions
        # Matches: [modifiers] class ClassName [: BaseClass] [, Interface]
        class_pattern = r"(?:public|private|internal|protected)?\s*(?:static|abstract|sealed)?\s*class\s+(\w+)(?:\s*:\s*([\w\s,<>]+))?\s*\{"
        for match in re.finditer(class_pattern, content):
            class_name = match.group(1)
            bases_str = match.group(2) if match.group(2) else ""

            # Parse base classes and interfaces
            base_classes = []
            if bases_str:
                base_classes = [b.strip() for b in bases_str.split(",")]

            # Try to extract methods (simplified)
            class_block_start = match.end()
            # Find matching closing brace (simplified - doesn't handle nested classes perfectly)
            brace_count = 1
            class_block_end = class_block_start
            for i, char in enumerate(content[class_block_start:], class_block_start):
                if char == "{":
                    brace_count += 1
                elif char == "}":
                    brace_count -= 1
                    if brace_count == 0:
                        class_block_end = i
                        break

            if class_block_end > class_block_start:
                class_body = content[class_block_start:class_block_end]
                methods = self._extract_csharp_methods(class_body)
            else:
                methods = []

            classes.append(
                {
                    "name": class_name,
                    "base_classes": base_classes,
                    "methods": methods,
                    "docstring": None,  # Would need to extract XML doc comments
                    "line_number": content[: match.start()].count("\n") + 1,
                }
            )

        # Extract top-level functions/methods
        # Matches: [modifiers] [async] ReturnType MethodName(params)
        func_pattern = r"(?:public|private|internal|protected)?\s*(?:static|virtual|override|abstract)?\s*(?:async\s+)?(\w+(?:<[\w\s,]+>)?)\s+(\w+)\s*\(([^)]*)\)"
        for match in re.finditer(func_pattern, content):
            return_type = match.group(1).strip()
            func_name = match.group(2)
            params_str = match.group(3)
            is_async = "async" in match.group(0)

            # Skip common keywords
            if func_name in ["if", "for", "while", "switch", "return", "using", "namespace"]:
                continue

            params = self._parse_csharp_parameters(params_str)

            functions.append(
                {
                    "name": func_name,
                    "parameters": params,
                    "return_type": return_type,
                    "docstring": None,
                    "line_number": content[: match.start()].count("\n") + 1,
                    "is_async": is_async,
                    "is_method": False,
                    "decorators": [],
                }
            )

        # Extract comments
        comments = self._extract_csharp_comments(content)

        return {"classes": classes, "functions": functions, "comments": comments}

    def _extract_csharp_methods(self, class_body: str) -> list[dict]:
        """Extract C# method signatures from class body."""
        methods = []

        # Match method definitions
        method_pattern = r"(?:public|private|internal|protected)?\s*(?:static|virtual|override|abstract)?\s*(?:async\s+)?(\w+(?:<[\w\s,]+>)?)\s+(\w+)\s*\(([^)]*)\)"
        for match in re.finditer(method_pattern, class_body):
            return_type = match.group(1).strip()
            method_name = match.group(2)
            params_str = match.group(3)
            is_async = "async" in match.group(0)

            # Skip keywords
            if method_name in ["if", "for", "while", "switch", "get", "set"]:
                continue

            params = self._parse_csharp_parameters(params_str)

            methods.append(
                {
                    "name": method_name,
                    "parameters": params,
                    "return_type": return_type,
                    "docstring": None,
                    "line_number": None,
                    "is_async": is_async,
                    "is_method": True,
                    "decorators": [],
                }
            )

        return methods

    def _parse_csharp_parameters(self, params_str: str) -> list[dict]:
        """Parse C# parameter string."""
        params = []

        if not params_str.strip():
            return params

        # Split by comma (simplified)
        param_list = [p.strip() for p in params_str.split(",")]

        for param in param_list:
            if not param:
                continue

            # Check for default value
            default = None
            if "=" in param:
                param, default = param.split("=", 1)
                param = param.strip()
                default = default.strip()

            # Parse: [ref/out] Type name
            parts = param.split()
            if len(parts) >= 2:
                # Remove ref/out modifiers
                if parts[0] in ["ref", "out", "in", "params"]:
                    parts = parts[1:]

                if len(parts) >= 2:
                    param_type = parts[0]
                    param_name = parts[1]
                else:
                    param_type = parts[0]
                    param_name = "unknown"
            else:
                param_type = None
                param_name = param

            params.append({"name": param_name, "type_hint": param_type, "default": default})

        return params

    def _extract_csharp_comments(self, content: str) -> list[dict]:
        """Extract C# comments (// and /* */ and /// XML docs)."""
        comments = []

        # Single-line comments (//)
        for match in re.finditer(r"//(.+)$", content, re.MULTILINE):
            line_num = content[: match.start()].count("\n") + 1
            comment_text = match.group(1).strip()

            # Distinguish XML doc comments (///)
            comment_type = "doc" if match.group(1).startswith("/") else "inline"

            comments.append(
                {"line": line_num, "text": comment_text.lstrip("/").strip(), "type": comment_type}
            )

        # Multi-line comments (/* */)
        for match in re.finditer(r"/\*(.+?)\*/", content, re.DOTALL):
            start_line = content[: match.start()].count("\n") + 1
            comment_text = match.group(1).strip()

            comments.append({"line": start_line, "text": comment_text, "type": "block"})

        return comments

    def _analyze_go(self, content: str, _file_path: str) -> dict[str, Any]:
        """
        Analyze Go file using regex patterns.

        Note: This is a simplified regex-based approach. For production,
        consider using go/parser from the Go standard library via subprocess.

        Regex patterns based on Go language specification:
        https://go.dev/ref/spec
        """
        classes = []  # Go doesn't have classes, but we'll extract structs
        functions = []

        # Extract struct definitions (Go's equivalent of classes)
        struct_pattern = r"type\s+(\w+)\s+struct\s*\{"
        for match in re.finditer(struct_pattern, content):
            struct_name = match.group(1)

            classes.append(
                {
                    "name": struct_name,
                    "base_classes": [],  # Go uses embedding, not inheritance
                    "methods": [],  # Methods extracted separately
                    "docstring": None,
                    "line_number": content[: match.start()].count("\n") + 1,
                }
            )

        # Extract function definitions
        # Matches: func [receiver] name(params) [returns]
        func_pattern = r"func\s+(?:\((\w+)\s+\*?(\w+)\)\s+)?(\w+)\s*\(([^)]*)\)(?:\s+\(([^)]+)\)|(?:\s+(\w+(?:\[.*?\])?(?:,\s*\w+)*)))?"
        for match in re.finditer(func_pattern, content):
            _receiver_var = match.group(1)
            receiver_type = match.group(2)
            func_name = match.group(3)
            params_str = match.group(4)
            returns_multi = match.group(5)  # Multiple returns in parentheses
            returns_single = match.group(6)  # Single return without parentheses

            # Determine if it's a method (has receiver)
            is_method = bool(receiver_type)

            # Parse return type
            return_type = None
            if returns_multi:
                return_type = f"({returns_multi})"
            elif returns_single:
                return_type = returns_single

            params = self._parse_go_parameters(params_str)

            functions.append(
                {
                    "name": func_name,
                    "parameters": params,
                    "return_type": return_type,
                    "docstring": None,
                    "line_number": content[: match.start()].count("\n") + 1,
                    "is_async": False,  # Go uses goroutines differently
                    "is_method": is_method,
                    "decorators": [],
                }
            )

        # Extract comments
        comments = self._extract_go_comments(content)

        return {"classes": classes, "functions": functions, "comments": comments}

    def _parse_go_parameters(self, params_str: str) -> list[dict]:
        """Parse Go parameter string."""
        params = []

        if not params_str.strip():
            return params

        # Split by comma
        param_list = [p.strip() for p in params_str.split(",")]

        for param in param_list:
            if not param:
                continue

            # Go format: name type or name1, name2 type
            # Simplified parsing
            parts = param.split()
            if len(parts) >= 2:
                # Last part is type
                param_type = parts[-1]
                param_name = " ".join(parts[:-1])
            else:
                param_type = param
                param_name = "unknown"

            params.append(
                {
                    "name": param_name,
                    "type_hint": param_type,
                    "default": None,  # Go doesn't support default parameters
                }
            )

        return params

    def _extract_go_comments(self, content: str) -> list[dict]:
        """Extract Go comments (// and /* */ styles)."""
        # Go uses C-style comments
        return self._extract_js_comments(content)

    def _analyze_rust(self, content: str, _file_path: str) -> dict[str, Any]:
        """
        Analyze Rust file using regex patterns.

        Note: This is a simplified regex-based approach. For production,
        consider using syn crate via subprocess or tree-sitter-rust.

        Regex patterns based on Rust language reference:
        https://doc.rust-lang.org/reference/
        """
        classes = []  # Rust uses structs/enums/traits
        functions = []

        # Extract struct definitions
        struct_pattern = r"(?:pub\s+)?struct\s+(\w+)(?:<[^>]+>)?\s*\{"
        for match in re.finditer(struct_pattern, content):
            struct_name = match.group(1)

            classes.append(
                {
                    "name": struct_name,
                    "base_classes": [],  # Rust uses traits, not inheritance
                    "methods": [],
                    "docstring": None,
                    "line_number": content[: match.start()].count("\n") + 1,
                }
            )

        # Extract function definitions
        # Matches: [pub] [async] [unsafe] [const] fn name<generics>(params) -> ReturnType
        func_pattern = r"(?:pub\s+)?(?:async\s+)?(?:unsafe\s+)?(?:const\s+)?fn\s+(\w+)(?:<[^>]+>)?\s*\(([^)]*)\)(?:\s*->\s*([^{;]+))?"
        for match in re.finditer(func_pattern, content):
            func_name = match.group(1)
            params_str = match.group(2)
            return_type = match.group(3).strip() if match.group(3) else None
            is_async = "async" in match.group(0)

            params = self._parse_rust_parameters(params_str)

            functions.append(
                {
                    "name": func_name,
                    "parameters": params,
                    "return_type": return_type,
                    "docstring": None,
                    "line_number": content[: match.start()].count("\n") + 1,
                    "is_async": is_async,
                    "is_method": False,
                    "decorators": [],
                }
            )

        # Extract comments
        comments = self._extract_rust_comments(content)

        return {"classes": classes, "functions": functions, "comments": comments}

    def _parse_rust_parameters(self, params_str: str) -> list[dict]:
        """Parse Rust parameter string."""
        params = []

        if not params_str.strip():
            return params

        # Split by comma
        param_list = [p.strip() for p in params_str.split(",")]

        for param in param_list:
            if not param:
                continue

            # Rust format: name: type or &self
            if ":" in param:
                name, param_type = param.split(":", 1)
                name = name.strip()
                param_type = param_type.strip()
            else:
                # Handle &self, &mut self, self
                name = param
                param_type = None

            params.append(
                {
                    "name": name,
                    "type_hint": param_type,
                    "default": None,  # Rust doesn't support default parameters
                }
            )

        return params

    def _extract_rust_comments(self, content: str) -> list[dict]:
        """Extract Rust comments (// and /* */ and /// doc comments)."""
        comments = []

        # Single-line comments (//)
        for match in re.finditer(r"//(.+)$", content, re.MULTILINE):
            line_num = content[: match.start()].count("\n") + 1
            comment_text = match.group(1).strip()

            # Distinguish doc comments (/// or //!)
            if comment_text.startswith("/") or comment_text.startswith("!"):
                comment_type = "doc"
                comment_text = comment_text.lstrip("/!").strip()
            else:
                comment_type = "inline"

            comments.append({"line": line_num, "text": comment_text, "type": comment_type})

        # Multi-line comments (/* */)
        for match in re.finditer(r"/\*(.+?)\*/", content, re.DOTALL):
            start_line = content[: match.start()].count("\n") + 1
            comment_text = match.group(1).strip()

            comments.append({"line": start_line, "text": comment_text, "type": "block"})

        return comments

    def _analyze_java(self, content: str, _file_path: str) -> dict[str, Any]:
        """
        Analyze Java file using regex patterns.

        Note: This is a simplified regex-based approach. For production,
        consider using Eclipse JDT or JavaParser library.

        Regex patterns based on Java language specification:
        https://docs.oracle.com/javase/specs/
        """
        classes = []
        functions = []

        # Extract class definitions
        # Matches: [modifiers] class ClassName [extends Base] [implements Interfaces]
        class_pattern = r"(?:public|private|protected)?\s*(?:static|final|abstract)?\s*class\s+(\w+)(?:\s+extends\s+(\w+))?(?:\s+implements\s+([\w\s,]+))?\s*\{"
        for match in re.finditer(class_pattern, content):
            class_name = match.group(1)
            base_class = match.group(2)
            interfaces_str = match.group(3)

            base_classes = []
            if base_class:
                base_classes.append(base_class)
            if interfaces_str:
                base_classes.extend([i.strip() for i in interfaces_str.split(",")])

            # Extract methods (simplified)
            class_block_start = match.end()
            brace_count = 1
            class_block_end = class_block_start
            for i, char in enumerate(content[class_block_start:], class_block_start):
                if char == "{":
                    brace_count += 1
                elif char == "}":
                    brace_count -= 1
                    if brace_count == 0:
                        class_block_end = i
                        break

            if class_block_end > class_block_start:
                class_body = content[class_block_start:class_block_end]
                methods = self._extract_java_methods(class_body)
            else:
                methods = []

            classes.append(
                {
                    "name": class_name,
                    "base_classes": base_classes,
                    "methods": methods,
                    "docstring": None,
                    "line_number": content[: match.start()].count("\n") + 1,
                }
            )

        # Extract top-level functions (rare in Java, but static methods)
        func_pattern = r"(?:public|private|protected)?\s*(?:static|final|synchronized)?\s*(\w+(?:<[\w\s,]+>)?)\s+(\w+)\s*\(([^)]*)\)"
        for match in re.finditer(func_pattern, content):
            return_type = match.group(1).strip()
            func_name = match.group(2)
            params_str = match.group(3)

            # Skip keywords
            if func_name in ["if", "for", "while", "switch", "return", "class", "void"]:
                continue

            params = self._parse_java_parameters(params_str)

            functions.append(
                {
                    "name": func_name,
                    "parameters": params,
                    "return_type": return_type,
                    "docstring": None,
                    "line_number": content[: match.start()].count("\n") + 1,
                    "is_async": False,
                    "is_method": False,
                    "decorators": [],
                }
            )

        # Extract comments
        comments = self._extract_java_comments(content)

        return {"classes": classes, "functions": functions, "comments": comments}

    def _extract_java_methods(self, class_body: str) -> list[dict]:
        """Extract Java method signatures from class body."""
        methods = []

        method_pattern = r"(?:public|private|protected)?\s*(?:static|final|synchronized)?\s*(\w+(?:<[\w\s,]+>)?)\s+(\w+)\s*\(([^)]*)\)"
        for match in re.finditer(method_pattern, class_body):
            return_type = match.group(1).strip()
            method_name = match.group(2)
            params_str = match.group(3)

            # Skip keywords
            if method_name in ["if", "for", "while", "switch"]:
                continue

            params = self._parse_java_parameters(params_str)

            methods.append(
                {
                    "name": method_name,
                    "parameters": params,
                    "return_type": return_type,
                    "docstring": None,
                    "line_number": None,
                    "is_async": False,
                    "is_method": True,
                    "decorators": [],
                }
            )

        return methods

    def _parse_java_parameters(self, params_str: str) -> list[dict]:
        """Parse Java parameter string."""
        params = []

        if not params_str.strip():
            return params

        # Split by comma
        param_list = [p.strip() for p in params_str.split(",")]

        for param in param_list:
            if not param:
                continue

            # Java format: Type name or final Type name
            parts = param.split()
            if len(parts) >= 2:
                # Remove 'final' if present
                if parts[0] == "final":
                    parts = parts[1:]

                if len(parts) >= 2:
                    param_type = parts[0]
                    param_name = parts[1]
                else:
                    param_type = parts[0]
                    param_name = "unknown"
            else:
                param_type = param
                param_name = "unknown"

            params.append(
                {
                    "name": param_name,
                    "type_hint": param_type,
                    "default": None,  # Java doesn't support default parameters
                }
            )

        return params

    def _extract_java_comments(self, content: str) -> list[dict]:
        """Extract Java comments (// and /* */ and /** JavaDoc */)."""
        comments = []

        # Single-line comments (//)
        for match in re.finditer(r"//(.+)$", content, re.MULTILINE):
            line_num = content[: match.start()].count("\n") + 1
            comment_text = match.group(1).strip()

            comments.append({"line": line_num, "text": comment_text, "type": "inline"})

        # Multi-line and JavaDoc comments (/* */ and /** */)
        for match in re.finditer(r"/\*\*?(.+?)\*/", content, re.DOTALL):
            start_line = content[: match.start()].count("\n") + 1
            comment_text = match.group(1).strip()

            # Distinguish JavaDoc (starts with **)
            comment_type = "doc" if match.group(0).startswith("/**") else "block"

            comments.append({"line": start_line, "text": comment_text, "type": comment_type})

        return comments

    def _analyze_ruby(self, content: str, _file_path: str) -> dict[str, Any]:
        """
        Analyze Ruby file using regex patterns.

        Note: This is a simplified regex-based approach. For production,
        consider using parser gem or tree-sitter-ruby.

        Regex patterns based on Ruby language documentation:
        https://ruby-doc.org/
        """
        classes = []
        functions = []

        # Extract class definitions
        class_pattern = r"class\s+(\w+)(?:\s*<\s*(\w+))?\s*$"
        for match in re.finditer(class_pattern, content, re.MULTILINE):
            class_name = match.group(1)
            base_class = match.group(2)

            base_classes = [base_class] if base_class else []

            classes.append(
                {
                    "name": class_name,
                    "base_classes": base_classes,
                    "methods": [],  # Would need to parse class body
                    "docstring": None,
                    "line_number": content[: match.start()].count("\n") + 1,
                }
            )

        # Extract method/function definitions
        # Matches: def method_name(params)
        func_pattern = r"def\s+(?:self\.)?(\w+[?!]?)\s*(?:\(([^)]*)\))?"
        for match in re.finditer(func_pattern, content):
            func_name = match.group(1)
            params_str = match.group(2) if match.group(2) else ""

            params = self._parse_ruby_parameters(params_str)

            functions.append(
                {
                    "name": func_name,
                    "parameters": params,
                    "return_type": None,  # Ruby has no type annotations (usually)
                    "docstring": None,
                    "line_number": content[: match.start()].count("\n") + 1,
                    "is_async": False,
                    "is_method": False,
                    "decorators": [],
                }
            )

        # Extract comments
        comments = self._extract_ruby_comments(content)

        return {"classes": classes, "functions": functions, "comments": comments}

    def _parse_ruby_parameters(self, params_str: str) -> list[dict]:
        """Parse Ruby parameter string."""
        params = []

        if not params_str.strip():
            return params

        # Split by comma
        param_list = [p.strip() for p in params_str.split(",")]

        for param in param_list:
            if not param:
                continue

            # Check for default value
            default = None
            if "=" in param:
                name, default = param.split("=", 1)
                name = name.strip()
                default = default.strip()
            else:
                name = param

            # Ruby doesn't have type hints in method signatures
            params.append({"name": name, "type_hint": None, "default": default})

        return params

    def _extract_ruby_comments(self, content: str) -> list[dict]:
        """Extract Ruby comments (# style)."""
        comments = []

        for i, line in enumerate(content.splitlines(), 1):
            stripped = line.strip()

            # Ruby comments start with #
            if stripped.startswith("#"):
                comment_text = stripped[1:].strip()
                comments.append({"line": i, "text": comment_text, "type": "inline"})

        return comments

    def _analyze_php(self, content: str, _file_path: str) -> dict[str, Any]:
        """
        Analyze PHP file using regex patterns.

        Note: This is a simplified regex-based approach. For production,
        consider using nikic/PHP-Parser via subprocess or tree-sitter-php.

        Regex patterns based on PHP language reference:
        https://www.php.net/manual/en/langref.php
        """
        classes = []
        functions = []

        # Extract class definitions
        class_pattern = r"(?:abstract\s+)?class\s+(\w+)(?:\s+extends\s+(\w+))?(?:\s+implements\s+([\w\s,]+))?\s*\{"
        for match in re.finditer(class_pattern, content):
            class_name = match.group(1)
            base_class = match.group(2)
            interfaces_str = match.group(3)

            base_classes = []
            if base_class:
                base_classes.append(base_class)
            if interfaces_str:
                base_classes.extend([i.strip() for i in interfaces_str.split(",")])

            # Extract methods (simplified)
            class_block_start = match.end()
            brace_count = 1
            class_block_end = class_block_start
            for i, char in enumerate(content[class_block_start:], class_block_start):
                if char == "{":
                    brace_count += 1
                elif char == "}":
                    brace_count -= 1
                    if brace_count == 0:
                        class_block_end = i
                        break

            if class_block_end > class_block_start:
                class_body = content[class_block_start:class_block_end]
                methods = self._extract_php_methods(class_body)
            else:
                methods = []

            classes.append(
                {
                    "name": class_name,
                    "base_classes": base_classes,
                    "methods": methods,
                    "docstring": None,
                    "line_number": content[: match.start()].count("\n") + 1,
                }
            )

        # Extract function definitions
        func_pattern = r"function\s+(\w+)\s*\(([^)]*)\)(?:\s*:\s*(\??\w+))?"
        for match in re.finditer(func_pattern, content):
            func_name = match.group(1)
            params_str = match.group(2)
            return_type = match.group(3)

            params = self._parse_php_parameters(params_str)

            functions.append(
                {
                    "name": func_name,
                    "parameters": params,
                    "return_type": return_type,
                    "docstring": None,
                    "line_number": content[: match.start()].count("\n") + 1,
                    "is_async": False,
                    "is_method": False,
                    "decorators": [],
                }
            )

        # Extract comments
        comments = self._extract_php_comments(content)

        return {"classes": classes, "functions": functions, "comments": comments}

    def _extract_php_methods(self, class_body: str) -> list[dict]:
        """Extract PHP method signatures from class body."""
        methods = []

        method_pattern = r"(?:public|private|protected)?\s*(?:static|final)?\s*function\s+(\w+)\s*\(([^)]*)\)(?:\s*:\s*(\??\w+))?"
        for match in re.finditer(method_pattern, class_body):
            method_name = match.group(1)
            params_str = match.group(2)
            return_type = match.group(3)

            params = self._parse_php_parameters(params_str)

            methods.append(
                {
                    "name": method_name,
                    "parameters": params,
                    "return_type": return_type,
                    "docstring": None,
                    "line_number": None,
                    "is_async": False,
                    "is_method": True,
                    "decorators": [],
                }
            )

        return methods

    def _parse_php_parameters(self, params_str: str) -> list[dict]:
        """Parse PHP parameter string."""
        params = []

        if not params_str.strip():
            return params

        # Split by comma
        param_list = [p.strip() for p in params_str.split(",")]

        for param in param_list:
            if not param:
                continue

            # Check for default value
            default = None
            if "=" in param:
                param, default = param.split("=", 1)
                param = param.strip()
                default = default.strip()

            # PHP format: Type $name or just $name
            parts = param.split()
            if len(parts) >= 2:
                param_type = parts[0]
                param_name = parts[1]
            else:
                param_type = None
                param_name = parts[0] if parts else "unknown"

            # Remove $ from variable name
            if param_name.startswith("$"):
                param_name = param_name[1:]

            params.append({"name": param_name, "type_hint": param_type, "default": default})

        return params

    def _extract_php_comments(self, content: str) -> list[dict]:
        """Extract PHP comments (// and /* */ and # and /** PHPDoc */)."""
        comments = []

        # Single-line comments (// and #)
        for match in re.finditer(r"(?://|#)(.+)$", content, re.MULTILINE):
            line_num = content[: match.start()].count("\n") + 1
            comment_text = match.group(1).strip()

            comments.append({"line": line_num, "text": comment_text, "type": "inline"})

        # Multi-line and PHPDoc comments (/* */ and /** */)
        for match in re.finditer(r"/\*\*?(.+?)\*/", content, re.DOTALL):
            start_line = content[: match.start()].count("\n") + 1
            comment_text = match.group(1).strip()

            # Distinguish PHPDoc (starts with **)
            comment_type = "doc" if match.group(0).startswith("/**") else "block"

            comments.append({"line": start_line, "text": comment_text, "type": comment_type})

        return comments


    def _analyze_godot_scene(self, content: str, file_path: str) -> dict[str, Any]:
        """
        Analyze Godot .tscn scene file.

        Extracts:
        - Node hierarchy
        - Script attachments
        - External resource dependencies
        - Scene metadata
        """
        nodes = []
        resources = []
        scripts = []

        # Extract external resources
        for match in re.finditer(r'\[ext_resource.*?type="(.+?)".*?path="(.+?)".*?id="(.+?)"\]', content):
            res_type, path, res_id = match.groups()
            resources.append({
                "type": res_type,
                "path": path,
                "id": res_id
            })

            # Track scripts separately
            if res_type == "Script":
                scripts.append({
                    "path": path,
                    "id": res_id
                })

        # Extract nodes
        for match in re.finditer(r'\[node name="(.+?)".*?type="(.+?)".*?\]', content):
            node_name, node_type = match.groups()

            # Check if node has a script attached
            script_match = re.search(rf'\[node name="{re.escape(node_name)}".*?script = ExtResource\("(.+?)"\)', content, re.DOTALL)
            attached_script = script_match.group(1) if script_match else None

            nodes.append({
                "name": node_name,
                "type": node_type,
                "script": attached_script
            })

        return {
            "file": file_path,
            "nodes": nodes,
            "scripts": scripts,
            "resources": resources,
            "scene_metadata": {
                "node_count": len(nodes),
                "script_count": len(scripts),
                "resource_count": len(resources)
            }
        }

    def _analyze_godot_resource(self, content: str, file_path: str) -> dict[str, Any]:
        """
        Analyze Godot .tres resource file.

        Extracts:
        - Resource type and class
        - Script reference
        - Properties and values
        - External dependencies
        """
        properties = []
        resources = []
        resource_type = None
        script_class = None
        script_path = None

        # Extract resource header
        header_match = re.search(r'\[gd_resource type="(.+?)"(?:\s+script_class="(.+?)")?\s+', content)
        if header_match:
            resource_type = header_match.group(1)
            script_class = header_match.group(2)

        # Extract external resources
        for match in re.finditer(r'\[ext_resource.*?type="(.+?)".*?path="(.+?)".*?id="(.+?)"\]', content):
            res_type, path, res_id = match.groups()
            resources.append({
                "type": res_type,
                "path": path,
                "id": res_id
            })

            if res_type == "Script":
                script_path = path

        # Extract properties from [resource] section
        resource_section = re.search(r'\[resource\](.*?)(?:\n\[|$)', content, re.DOTALL)
        if resource_section:
            prop_text = resource_section.group(1)

            for line in prop_text.strip().split('\n'):
                if '=' in line:
                    key, value = line.split('=', 1)
                    properties.append({
                        "name": key.strip(),
                        "value": value.strip()
                    })

        return {
            "file": file_path,
            "resource_type": resource_type,
            "script_class": script_class,
            "script_path": script_path,
            "properties": properties,
            "resources": resources,
            "resource_metadata": {
                "property_count": len(properties),
                "dependency_count": len(resources)
            }
        }

    def _analyze_godot_shader(self, content: str, file_path: str) -> dict[str, Any]:
        """
        Analyze Godot .gdshader shader file.

        Extracts:
        - Shader type (spatial, canvas_item, particles, etc.)
        - Uniforms (parameters)
        - Functions
        - Varying variables
        """
        uniforms = []
        functions = []
        varyings = []
        shader_type = None

        # Extract shader type
        type_match = re.search(r'shader_type\s+(\w+)', content)
        if type_match:
            shader_type = type_match.group(1)

        # Extract uniforms
        for match in re.finditer(r'uniform\s+(\w+)\s+(\w+)(?:\s*:\s*(.+?))?(?:\s*=\s*(.+?))?;', content):
            uniform_type, name, hint, default = match.groups()
            uniforms.append({
                "name": name,
                "type": uniform_type,
                "hint": hint,
                "default": default
            })

        # Extract varying variables
        for match in re.finditer(r'varying\s+(\w+)\s+(\w+)', content):
            var_type, name = match.groups()
            varyings.append({
                "name": name,
                "type": var_type
            })
        
        # Extract functions
        for match in re.finditer(r'void\s+(\w+)\s*\(([^)]*)\)', content):
            func_name, params = match.groups()
            functions.append({
                "name": func_name,
                "parameters": params.strip() if params else ""
            })
        
        return {
            "file": file_path,
            "shader_type": shader_type,
            "uniforms": uniforms,
            "varyings": varyings,
            "functions": functions,
            "shader_metadata": {
                "uniform_count": len(uniforms),
                "function_count": len(functions)
            }
        }

    def _analyze_gdscript(self, content: str, file_path: str) -> dict[str, Any]:
        """
        Analyze GDScript file using regex (Godot-specific syntax).
        
        GDScript has Python-like syntax but with Godot-specific keywords:
        - class_name MyClass extends Node
        - func _ready(): (functions)
        - signal my_signal(param)
        - @export var speed: float = 100.0
        - @onready var sprite = $Sprite2D
        """
        classes = []
        functions = []
        signals = []
        exports = []
        
        # Extract class definition
        class_match = re.search(r'class_name\s+(\w+)(?:\s+extends\s+(\w+))?', content)
        if class_match:
            class_name = class_match.group(1)
            extends = class_match.group(2)
            classes.append({
                "name": class_name,
                "bases": [extends] if extends else [],
                "methods": [],
                "line_number": content[: class_match.start()].count("\n") + 1
            })
        
        # Extract functions
        for match in re.finditer(r'func\s+(\w+)\s*\(([^)]*)\)(?:\s*->\s*(\w+))?:', content):
            func_name, params, return_type = match.groups()
            
            # Parse parameters
            param_list = []
            if params.strip():
                for param in params.split(','):
                    param = param.strip()
                    if ':' in param:
                        # param_name: Type = default
                        parts = param.split(':')
                        name = parts[0].strip()
                        type_and_default = parts[1].strip()
                        
                        param_type = type_and_default.split('=')[0].strip() if '=' in type_and_default else type_and_default
                        default = type_and_default.split('=')[1].strip() if '=' in type_and_default else None
                        
                        param_list.append({
                            "name": name,
                            "type_hint": param_type,
                            "default": default
                        })
                    else:
                        param_list.append({
                            "name": param,
                            "type_hint": None,
                            "default": None
                        })
            
            functions.append({
                "name": func_name,
                "parameters": param_list,
                "return_type": return_type,
                "line_number": content[: match.start()].count("\n") + 1
            })
        
        # Extract signals with documentation
        signal_connections = []
        signal_emissions = []

        for match in re.finditer(r'signal\s+(\w+)(?:\(([^)]*)\))?', content):
            signal_name, params = match.groups()
            line_number = content[: match.start()].count("\n") + 1

            # Extract documentation comment above signal (## or #)
            doc_comment = None
            lines = content[:match.start()].split('\n')
            if len(lines) >= 2:
                prev_line = lines[-1].strip()
                if prev_line.startswith('##') or prev_line.startswith('#'):
                    doc_comment = prev_line.lstrip('#').strip()

            signals.append({
                "name": signal_name,
                "parameters": params if params else "",
                "line_number": line_number,
                "documentation": doc_comment
            })

        # Extract signal connections (.connect() calls)
        for match in re.finditer(r'(\w+(?:\.\w+)*)\.connect\(([^)]+)\)', content):
            signal_path, handler = match.groups()
            signal_connections.append({
                "signal": signal_path,
                "handler": handler.strip(),
                "line_number": content[: match.start()].count("\n") + 1
            })

        # Extract signal emissions (.emit() calls)
        for match in re.finditer(r'(\w+(?:\.\w+)*)\.emit\(([^)]*)\)', content):
            signal_path, args = match.groups()
            signal_emissions.append({
                "signal": signal_path,
                "arguments": args.strip() if args else "",
                "line_number": content[: match.start()].count("\n") + 1
            })

        # Extract @export variables
        for match in re.finditer(r'@export(?:\(([^)]+)\))?\s+var\s+(\w+)(?:\s*:\s*(\w+))?(?:\s*=\s*(.+?))?(?:\n|$)', content):
            hint, var_name, var_type, default = match.groups()
            exports.append({
                "name": var_name,
                "type": var_type,
                "default": default,
                "export_hint": hint,
                "line_number": content[: match.start()].count("\n") + 1
            })

        # Detect test framework
        test_framework = None
        test_functions = []

        # GUT (Godot Unit Test) - extends "res://addons/gut/test.gd" or extends GutTest
        if re.search(r'extends\s+["\']?res://addons/gut/test\.gd["\']?', content) or \
           re.search(r'extends\s+GutTest', content):
            test_framework = "GUT"

            # Extract test functions (test_* functions)
            for func in functions:
                if func["name"].startswith("test_"):
                    test_functions.append(func)

        # gdUnit4 - @suite class annotation
        elif re.search(r'@suite', content):
            test_framework = "gdUnit4"

            # Extract test functions (@test annotated or test_* prefix)
            for i, func in enumerate(functions):
                # Check for @test annotation above function
                func_line = func["line_number"]
                lines = content.split('\n')
                if func_line > 1:
                    prev_line = lines[func_line - 2].strip()
                    if prev_line.startswith('@test'):
                        test_functions.append(func)
                    elif func["name"].startswith("test_"):
                        test_functions.append(func)

        # WAT (WizAds Test) - less common
        elif re.search(r'extends\s+WAT\.Test', content):
            test_framework = "WAT"
            for func in functions:
                if func["name"].startswith("test_"):
                    test_functions.append(func)

        result = {
            "file": file_path,
            "classes": classes,
            "functions": functions,
            "signals": signals,
            "exports": exports,
            "signal_connections": signal_connections,
            "signal_emissions": signal_emissions,
        }

        # Add test framework info if detected
        if test_framework:
            result["test_framework"] = test_framework
            result["test_functions"] = test_functions

        return result


if __name__ == "__main__":
    # Test the analyzer
    python_code = '''
class Node2D:
    """Base class for 2D nodes."""

    def move_local_x(self, delta: float, snap: bool = False) -> None:
        """Move node along local X axis."""
        pass

    async def tween_position(self, target: tuple, duration: float = 1.0):
        """Animate position to target."""
        pass

def create_sprite(texture: str) -> Node2D:
    """Create a new sprite node."""
    return Node2D()
'''

    analyzer = CodeAnalyzer(depth="deep")
    result = analyzer.analyze_file("test.py", python_code, "Python")

    print("Analysis Result:")
    print(f"Classes: {len(result.get('classes', []))}")
    print(f"Functions: {len(result.get('functions', []))}")

    if result.get("classes"):
        cls = result["classes"][0]
        print(f"\nClass: {cls['name']}")
        print(f"  Methods: {len(cls['methods'])}")
        for method in cls["methods"]:
            params = ", ".join(
                [
                    f"{p['name']}: {p['type_hint']}"
                    + (f" = {p['default']}" if p.get("default") else "")
                    for p in method["parameters"]
                ]
            )
            print(f"    {method['name']}({params}) -> {method['return_type']}")