Create a transpiler from astx to python

[xmnlab]

from gpt:

1. Overview of the Transpiler Design

Visitor Pattern Approach

A common and effective way to traverse and translate ASTs is by using the Visitor Pattern. In this pattern, you create a visitor class that has specific methods to handle each type of AST node. This approach allows for clean separation between the AST structure and the code generation logic.

Key Components

1. ASTx Nodes: Your existing astx classes representing different language constructs (e.g., literals, binary operations, function definitions).
2. ASTxToPythonGenerator: A visitor class responsible for traversing the ASTx nodes and generating corresponding Python code snippets.
3. Code Generation Methods: Specific methods within the generator class that handle each AST node type.

---

2. Implementing the Transpiler

File Structure

For simplicity, we'll create a single Python module named astx2python.py containing the transpiler logic.

astx2python.py

2.1. Import Necessary Classes

Ensure that astx2python.py can access the necessary astx classes. Adjust the import paths based on your project structure.

# astx2python.py

from typing import Any
from astx.base import ASTNodes, ASTKind
from astx.literals import (
    LiteralInt32,
    LiteralString,
    LiteralBoolean,
    LiteralChar,
)
from astx.datatypes import (
    Char,
    String,
)
from astx.expressions import (
    BinaryOp,
    UnaryOp,
    AssignmentExpr,
    TypeCastExpr,
    AwaitExpr,
    YieldExpr,
    MatchExpr,
    IndexExpr,
    SliceExpr,
    MemberAccessExpr,
    TypeExpr,
)
from astx.variables import Variable, VariableAssignment, VariableDeclaration
from astx.blocks import Block
from astx.functions import FunctionDef, AsyncFunctionDef
# Import other necessary astx classes as needed

2.2. Define the Generator Class

Create the ASTxToPythonGenerator class with methods to handle different AST node types.

# astx2python.py

class ASTxToPythonGenerator:
    """Transpiler that converts ASTx nodes to Python code."""
    
    def __init__(self):
        self.indent_level = 0
        self.indent_str = "    "  # 4 spaces

    def generate(self, node: ASTNodes) -> str:
        """Generate Python code from an ASTx node."""
        method_name = f"visit_{node.kind.name}"
        visitor = getattr(self, method_name, self.generic_visit)
        return visitor(node)
    
    def generic_visit(self, node: ASTNodes) -> str:
        """Fallback method for unhandled node types."""
        raise NotImplementedError(f"No visit_{node.kind.name} method")
    
    # Visitor methods for different ASTKind

2.3. Implement Visitor Methods

Below are example visitor methods for various AST node types. You can expand these methods to handle more node types as your AST evolves.

2.3.1. Literals

    def visit_LiteralInt32(self, node: LiteralInt32) -> str:
        """Handle LiteralInt32 nodes."""
        return str(node.value)
    
    def visit_LiteralString(self, node: LiteralString) -> str:
        """Handle LiteralString nodes."""
        # Handle different encodings if necessary
        return f"'{node.value}'"
    
    def visit_LiteralBoolean(self, node: LiteralBoolean) -> str:
        """Handle LiteralBoolean nodes."""
        return "True" if node.value else "False"
    
    def visit_LiteralChar(self, node: LiteralChar) -> str:
        """Handle LiteralChar nodes."""
        return f"'{node.value}'"

2.3.2. Variables and Assignments

    def visit_Variable(self, node: Variable) -> str:
        """Handle Variable nodes."""
        return node.name
    
    def visit_VariableAssignment(self, node: VariableAssignment) -> str:
        """Handle VariableAssignment nodes."""
        target = self.generate(node.target) if isinstance(node.target, ASTNodes) else node.target
        value = self.generate(node.value)
        return f"{target} = {value}"

2.3.3. Binary and Unary Operations

    def visit_BinaryOp(self, node: BinaryOp) -> str:
        """Handle BinaryOp nodes."""
        lhs = self.generate(node.lhs)
        rhs = self.generate(node.rhs)
        return f"({lhs} {node.op_code} {rhs})"
    
    def visit_UnaryOp(self, node: UnaryOp) -> str:
        """Handle UnaryOp nodes."""
        operand = self.generate(node.operand)
        return f"({node.op_code}{operand})"

2.3.4. Function Definitions

    def visit_FunctionDef(self, node: FunctionDef) -> str:
        """Handle FunctionDef nodes."""
        params = ", ".join(arg.name for arg in node.args.args)
        returns = f" -> {self.generate(node.returns)}" if node.returns else ""
        decorators = "\n".join(f"@{self.generate(dec)}" for dec in node.decorators) if node.decorators else ""
        header = f"def {node.name}({params}){returns}:"
        body = self._generate_block(node.body)
        return f"{decorators}\n{header}\n{body}"
    
    def visit_AsyncFunctionDef(self, node: AsyncFunctionDef) -> str:
        """Handle AsyncFunctionDef nodes."""
        params = ", ".join(arg.name for arg in node.args.args)
        returns = f" -> {self.generate(node.returns)}" if node.returns else ""
        decorators = "\n".join(f"@{self.generate(dec)}" for dec in node.decorators) if node.decorators else ""
        header = f"async def {node.name}({params}){returns}:"
        body = self._generate_block(node.body)
        return f"{decorators}\n{header}\n{body}"
    
    def _generate_block(self, block: Block) -> str:
        """Generate code for a block of statements with proper indentation."""
        self.indent_level += 1
        indent = self.indent_str * self.indent_level
        lines = [indent + self.generate(stmt) for stmt in block.nodes]
        self.indent_level -= 1
        return "\n".join(lines) if lines else self.indent_str * self.indent_level + "pass"

2.3.5. Control Flow Statements

    def visit_IfStmt(self, node: IfStmt) -> str:
        """Handle IfStmt nodes."""
        condition = self.generate(node.condition)
        header = f"if {condition}:"
        body = self._generate_block(node.body)
        orelse = ""
        if node.orelse:
            orelse_header = f"else:"
            orelse_body = self._generate_block(node.orelse)
            orelse = f"\n{self.indent_str * self.indent_level}{orelse_header}\n{orelse_body}"
        return f"{header}\n{body}{orelse}"
    
    def visit_ForStmt(self, node: ForStmt) -> str:
        """Handle ForStmt nodes."""
        target = self.generate(node.target)
        iter_expr = self.generate(node.iter)
        header = f"for {target} in {iter_expr}:"
        body = self._generate_block(node.body)
        return f"{header}\n{body}"
    
    def visit_WhileStmt(self, node: WhileStmt) -> str:
        """Handle WhileStmt nodes."""
        condition = self.generate(node.condition)
        header = f"while {condition}:"
        body = self._generate_block(node.body)
        return f"{header}\n{body}"
    
    def visit_ReturnStmt(self, node: ReturnStmt) -> str:
        """Handle ReturnStmt nodes."""
        value = self.generate(node.value) if node.value else ""
        return f"return {value}"

2.3.6. Expressions

    def visit_TypeCastExpr(self, node: TypeCastExpr) -> str:
        """Handle TypeCastExpr nodes."""
        target_type = self.generate(node.target_type)
        expr = self.generate(node.expr)
        return f"{target_type}({expr})"
    
    def visit_AwaitExpr(self, node: AwaitExpr) -> str:
        """Handle AwaitExpr nodes."""
        value = self.generate(node.value)
        return f"await {value}"
    
    def visit_YieldExpr(self, node: YieldExpr) -> str:
        """Handle YieldExpr nodes."""
        value = self.generate(node.value) if node.value else ""
        return f"yield {value}"
    
    def visit_MatchExpr(self, node: MatchExpr) -> str:
        """Handle MatchExpr nodes."""
        # Python doesn't have a native match statement before 3.10
        # Assuming Python 3.10+ for structural pattern matching
        value = self.generate(node.value)
        arms = "\n".join(
            f"    case {self.generate(pattern)}: return {self.generate(expr)}"
            for pattern, expr in node.arms
        )
        return f"match {value}:\n{arms}"
    
    def visit_IndexExpr(self, node: IndexExpr) -> str:
        """Handle IndexExpr nodes."""
        collection = self.generate(node.value)
        if isinstance(node.index, list):
            indices = ", ".join(self.generate(idx) for idx in node.index)
            return f"{collection}[{indices}]"
        else:
            index = self.generate(node.index)
            return f"{collection}[{index}]"
    
    def visit_SliceExpr(self, node: SliceExpr) -> str:
        """Handle SliceExpr nodes."""
        lower = self.generate(node.lower) if node.lower else ""
        upper = self.generate(node.upper) if node.upper else ""
        step = self.generate(node.step) if node.step else ""
        if step:
            return f"{lower}:{upper}:{step}"
        else:
            return f"{lower}:{upper}"
    
    def visit_MemberAccessExpr(self, node: MemberAccessExpr) -> str:
        """Handle MemberAccessExpr nodes."""
        value = self.generate(node.value)
        attr = node.attr
        return f"{value}.{attr}"
    
    def visit_CharType(self, node: Char) -> str:
        """Handle Char type nodes."""
        return "str"  # Python's str represents characters
    
    def visit_StringType(self, node: String) -> str:
        """Handle String type nodes."""
        return "str"
    
    def visit_TypeExpr(self, node: TypeExpr) -> str:
        """Handle TypeExpr nodes."""
        return self.generate(node.type)

2.3.7. Additional Helper Methods

You may need additional helper methods to handle other node types or specific scenarios. Below is an example of handling TypeAliasStmt and handling indentation.

    def visit_TypeAliasStmt(self, node: TypeAliasStmt) -> str:
        """Handle TypeAliasStmt nodes."""
        name = node.name
        if node.type_params:
            params = "[" + ", ".join(node.type_params) + "]"
        else:
            params = ""
        aliased_type = self.generate(node.aliased_type)
        return f"{name}{params} = {aliased_type}"
    
    def visit_FunctionCall(self, node: FunctionCall) -> str:
        """Handle FunctionCall nodes."""
        func = self.generate(node.function)
        args = ", ".join(self.generate(arg) for arg in node.args)
        return f"{func}({args})"
    
    def visit_Block(self, node: Block) -> str:
        """Handle Block nodes."""
        return self._generate_block(node)

2.4. Handling Indentation

Proper indentation is crucial for Python code. The _generate_block method (already included in function definitions) manages indentation levels.

    def _generate_block(self, block: Block) -> str:
        """Generate code for a block of statements with proper indentation."""
        self.indent_level += 1
        indent = self.indent_str * self.indent_level
        lines = [indent + self.generate(stmt) for stmt in block.nodes]
        self.indent_level -= 1
        return "\n".join(lines) if lines else self.indent_str * self.indent_level + "pass"

2.5. Example Usage of the Transpiler

Below is an example of how to use the ASTxToPythonGenerator to transpile a simple astx AST to Python code.

2.5.1. Creating an Example AST

# example_ast.py

from astx.base import SourceLocation
from astx.literals import LiteralInt32, LiteralString
from astx.variables import Variable, VariableAssignment
from astx.expressions import BinaryOp
from astx.blocks import Block
from astx.functions import FunctionDef
from astx.types import Int32
from astx2python import ASTxToPythonGenerator

# Create a simple ASTx representation of:
# def add(x: int, y: int) -> int:
#     result = x + y
#     return result

# Function parameters
args = Arguments(args=[
    Argument(name="x", type_=Int32()),
    Argument(name="y", type_=Int32())
])

# Function body
body = Block(nodes=[
    VariableAssignment(
        target=Variable(name="result"),
        value=BinaryOp(
            op_code="+",
            lhs=Variable(name="x"),
            rhs=Variable(name="y"),
            loc=SourceLocation(line=2, col=8)
        ),
        loc=SourceLocation(line=2, col=4)
    ),
    ReturnStmt(
        value=Variable(name="result"),
        loc=SourceLocation(line=3, col=4)
    )
])

# Function definition
add_function = FunctionDef(
    name="add",
    args=args,
    body=body,
    returns=Int32(),
    loc=SourceLocation(line=1, col=0)
)

2.5.2. Transpiling the AST to Python Code

# generate_code.py

from example_ast import add_function
from astx2python import ASTxToPythonGenerator

# Initialize the generator
generator = ASTxToPythonGenerator()

# Generate Python code
python_code = generator.generate(add_function)

print(python_code)

2.5.3. Expected Output

Running generate_code.py should output:

def add(x, y) -> int:
    result = (x + y)
    return result

---

3. Enhancing the Transpiler

3.1. Handling More AST Node Types

To make the transpiler more robust, implement visitor methods for additional AST node types as needed. Refer to your astx classes and ensure that each node type has a corresponding visitor method in ASTxToPythonGenerator.

3.2. Managing Complex Structures

For more complex language features like classes, exception handling, or asynchronous programming, expand the generator with appropriate visitor methods. Ensure that the generated Python code maintains correct syntax and semantics.

3.3. Error Handling

Implement error handling within the generator to gracefully handle unsupported or unexpected AST node types. This can involve raising exceptions or logging warnings.

    def generic_visit(self, node: ASTNodes) -> str:
        """Fallback method for unhandled node types."""
        raise NotImplementedError(f"No visit_{node.kind.name} method")

3.4. Testing and Validation

Create a suite of unit tests to verify that various ASTx nodes are correctly transpiled into Python code. This ensures that your transpiler behaves as expected and helps catch any regressions during development.

---

4. Final Notes

• Scalability: While this transpiler serves as a smoke test, consider modularizing the generator by separating visitor methods into different mixins or base classes as the AST grows in complexity.

• Extensibility: The current design allows easy addition of new node types. Simply add new visitor methods following the naming convention visit_<ASTKind>.

• Code Generation Enhancements: For more sophisticated code generation, such as handling scope, managing variable declarations, or optimizing the output code, you may need to incorporate additional logic into the generator.

• Integration with Other Tools: This transpiler can serve as a foundation for integrating with other compiler phases, such as semantic analysis or optimization.

---

By following this structured approach, you can develop a simple yet effective transpiler from your astx AST to Python code. This not only serves as a valuable testing tool but also lays the groundwork for more advanced code generation capabilities in the future.

[xmnlab]

Alternative with plum multiple dispatching (from gpt):

1. Prerequisites

1.1. Install Plum

First, ensure you have the Plum library installed. You can install it using pip:

pip install plum-dispatch

1.2. Project Structure

Assuming your project structure resembles the following:

your_project/
├── astx/
│   ├── __init__.py
│   ├── base.py
│   ├── expressions.py
│   ├── literals.py
│   ├── types.py
│   ├── variables.py
│   └── enums.py
└── astx2python.py

---

2. Implementing the Transpiler

2.1. Import Necessary Modules

Create a new file named astx2python.py and import the required classes and functions from astx and plum:

# astx2python.py

from plum import dispatch
from astx.base import ASTNodes, ASTKind
from astx.literals import (
    LiteralInt32,
    LiteralString,
    LiteralBoolean,
    LiteralChar,
)
from astx.types import (
    Char,
    String,
    TypeExpr,
)
from astx.expressions import (
    BinaryOp,
    UnaryOp,
    AssignmentExpr,
    TypeCastExpr,
    AwaitExpr,
    YieldExpr,
    MatchExpr,
    IndexExpr,
    SliceExpr,
    MemberAccessExpr,
    TypeExpr,
)
from astx.variables import Variable, VariableAssignment, VariableDeclaration
from astx.blocks import Block
from astx.functions import FunctionDef, AsyncFunctionDef
from astx.enums import EncodingKind
# Import other necessary astx classes as needed

2.2. Define the Generator Class

The ASTxToPythonGenerator class will manage the code generation process, maintaining the current indentation level and providing helper methods.

# astx2python.py

class ASTxToPythonGenerator:
    """Transpiler that converts ASTx nodes to Python code."""
    
    def __init__(self):
        self.indent_level = 0
        self.indent_str = "    "  # 4 spaces

    def generate(self, node: ASTNodes) -> str:
        """Generate Python code from an ASTx node."""
        return visit(self, node)

    def _generate_block(self, block: Block) -> str:
        """Generate code for a block of statements with proper indentation."""
        self.indent_level += 1
        indent = self.indent_str * self.indent_level
        lines = [indent + self.generate(stmt) for stmt in block.nodes]
        self.indent_level -= 1
        return "\n".join(lines) if lines else self.indent_str * self.indent_level + "pass"

2.3. Implement Visitor Functions with Plum

Using Plum's multiple dispatch, define a single visit function that dispatches based on the type of the AST node. Each specific handler will process a particular AST node type.

# astx2python.py

@dispatch(ASTxToPythonGenerator, LiteralInt32)
def visit(generator: ASTxToPythonGenerator, node: LiteralInt32) -> str:
    """Handle LiteralInt32 nodes."""
    return str(node.value)

@dispatch(ASTxToPythonGenerator, LiteralString)
def visit(generator: ASTxToPythonGenerator, node: LiteralString) -> str:
    """Handle LiteralString nodes."""
    # Optionally handle different encodings
    return f"'{node.value}'"

@dispatch(ASTxToPythonGenerator, LiteralBoolean)
def visit(generator: ASTxToPythonGenerator, node: LiteralBoolean) -> str:
    """Handle LiteralBoolean nodes."""
    return "True" if node.value else "False"

@dispatch(ASTxToPythonGenerator, LiteralChar)
def visit(generator: ASTxToPythonGenerator, node: LiteralChar) -> str:
    """Handle LiteralChar nodes."""
    return f"'{node.value}'"

@dispatch(ASTxToPythonGenerator, Variable)
def visit(generator: ASTxToPythonGenerator, node: Variable) -> str:
    """Handle Variable nodes."""
    return node.name

@dispatch(ASTxToPythonGenerator, VariableAssignment)
def visit(generator: ASTxToPythonGenerator, node: VariableAssignment) -> str:
    """Handle VariableAssignment nodes."""
    target = generator.generate(node.target) if isinstance(node.target, ASTNodes) else node.target
    value = generator.generate(node.value)
    return f"{target} = {value}"

@dispatch(ASTxToPythonGenerator, BinaryOp)
def visit(generator: ASTxToPythonGenerator, node: BinaryOp) -> str:
    """Handle BinaryOp nodes."""
    lhs = generator.generate(node.lhs)
    rhs = generator.generate(node.rhs)
    return f"({lhs} {node.op_code} {rhs})"

@dispatch(ASTxToPythonGenerator, UnaryOp)
def visit(generator: ASTxToPythonGenerator, node: UnaryOp) -> str:
    """Handle UnaryOp nodes."""
    operand = generator.generate(node.operand)
    return f"({node.op_code}{operand})"

@dispatch(ASTxToPythonGenerator, FunctionDef)
def visit(generator: ASTxToPythonGenerator, node: FunctionDef) -> str:
    """Handle FunctionDef nodes."""
    params = ", ".join(arg.name for arg in node.args.args)
    returns = f" -> {generator.generate(node.returns)}" if node.returns else ""
    decorators = "\n".join(f"@{generator.generate(dec)}" for dec in node.decorators) if node.decorators else ""
    header = f"def {node.name}({params}){returns}:"
    body = generator._generate_block(node.body)
    return f"{decorators}\n{header}\n{body}" if decorators else f"{header}\n{body}"

@dispatch(ASTxToPythonGenerator, AsyncFunctionDef)
def visit(generator: ASTxToPythonGenerator, node: AsyncFunctionDef) -> str:
    """Handle AsyncFunctionDef nodes."""
    params = ", ".join(arg.name for arg in node.args.args)
    returns = f" -> {generator.generate(node.returns)}" if node.returns else ""
    decorators = "\n".join(f"@{generator.generate(dec)}" for dec in node.decorators) if node.decorators else ""
    header = f"async def {node.name}({params}){returns}:"
    body = generator._generate_block(node.body)
    return f"{decorators}\n{header}\n{body}" if decorators else f"{header}\n{body}"

@dispatch(ASTxToPythonGenerator, Block)
def visit(generator: ASTxToPythonGenerator, node: Block) -> str:
    """Handle Block nodes."""
    return generator._generate_block(node)

@dispatch(ASTxToPythonGenerator, TypeCastExpr)
def visit(generator: ASTxToPythonGenerator, node: TypeCastExpr) -> str:
    """Handle TypeCastExpr nodes."""
    target_type = generator.generate(node.target_type)
    expr = generator.generate(node.expr)
    return f"{target_type}({expr})"

@dispatch(ASTxToPythonGenerator, AwaitExpr)
def visit(generator: ASTxToPythonGenerator, node: AwaitExpr) -> str:
    """Handle AwaitExpr nodes."""
    value = generator.generate(node.value)
    return f"await {value}"

@dispatch(ASTxToPythonGenerator, YieldExpr)
def visit(generator: ASTxToPythonGenerator, node: YieldExpr) -> str:
    """Handle YieldExpr nodes."""
    value = generator.generate(node.value) if node.value else ""
    return f"yield {value}"

@dispatch(ASTxToPythonGenerator, MatchExpr)
def visit(generator: ASTxToPythonGenerator, node: MatchExpr) -> str:
    """Handle MatchExpr nodes."""
    # Python 3.10+ supports match statements
    value = generator.generate(node.value)
    arms = "\n".join(
        f"    case {generator.generate(pattern)}: return {generator.generate(expr)}"
        for pattern, expr in node.arms
    )
    return f"match {value}:\n{arms}"

@dispatch(ASTxToPythonGenerator, IndexExpr)
def visit(generator: ASTxToPythonGenerator, node: IndexExpr) -> str:
    """Handle IndexExpr nodes."""
    collection = generator.generate(node.value)
    if isinstance(node.index, list):
        indices = ", ".join(generator.generate(idx) for idx in node.index)
        return f"{collection}[{indices}]"
    else:
        index = generator.generate(node.index)
        return f"{collection}[{index}]"

@dispatch(ASTxToPythonGenerator, SliceExpr)
def visit(generator: ASTxToPythonGenerator, node: SliceExpr) -> str:
    """Handle SliceExpr nodes."""
    lower = generator.generate(node.lower) if node.lower else ""
    upper = generator.generate(node.upper) if node.upper else ""
    step = generator.generate(node.step) if node.step else ""
    if step:
        return f"{lower}:{upper}:{step}"
    else:
        return f"{lower}:{upper}"

@dispatch(ASTxToPythonGenerator, MemberAccessExpr)
def visit(generator: ASTxToPythonGenerator, node: MemberAccessExpr) -> str:
    """Handle MemberAccessExpr nodes."""
    value = generator.generate(node.value)
    attr = node.attr
    return f"{value}.{attr}"

@dispatch(ASTxToPythonGenerator, Char)
def visit(generator: ASTxToPythonGenerator, node: Char) -> str:
    """Handle Char type nodes."""
    return "str"  # Python's str represents characters

@dispatch(ASTxToPythonGenerator, String)
def visit(generator: ASTxToPythonGenerator, node: String) -> str:
    """Handle String type nodes."""
    return "str"

@dispatch(ASTxToPythonGenerator, TypeExpr)
def visit(generator: ASTxToPythonGenerator, node: TypeExpr) -> str:
    """Handle TypeExpr nodes."""
    return generator.generate(node.type)

@dispatch(ASTxToPythonGenerator, TypeAliasStmt)
def visit(generator: ASTxToPythonGenerator, node: TypeAliasStmt) -> str:
    """Handle TypeAliasStmt nodes."""
    name = node.name
    if node.type_params:
        params = "[" + ", ".join(node.type_params) + "]"
    else:
        params = ""
    aliased_type = generator.generate(node.aliased_type)
    return f"{name}{params} = {aliased_type}"

@dispatch(ASTxToPythonGenerator, GotoStmt)
def visit(generator: ASTxToPythonGenerator, node: GotoStmt) -> str:
    """Handle GotoStmt nodes."""
    # Python does not support goto statements; using exceptions or other control flows instead
    # For testing purposes, we can represent it as a comment
    return f"# goto {node.label}"

# Add more visit functions as needed for other AST node types

2.4. Handling Unsupported or Custom Nodes

If you encounter AST node types that aren't directly translatable to Python or are unsupported, you can handle them gracefully, perhaps by inserting comments or raising exceptions.

@dispatch(ASTxToPythonGenerator, ASTNodes)
def visit(generator: ASTxToPythonGenerator, node: ASTNodes) -> str:
    """Handle unsupported or generic ASTNodes."""
    return f"# Unsupported AST node: {node.kind.name}"

2.5. Example Usage of the Transpiler

To demonstrate how the transpiler works, let's create a simple astx AST and transpile it to Python code.

2.5.1. Creating an Example AST

Suppose you have the following astx AST representing a simple Python function:

# example_ast.py

from astx.base import SourceLocation
from astx.literals import LiteralInt32, LiteralString
from astx.variables import Variable, VariableAssignment
from astx.expressions import BinaryOp
from astx.blocks import Block
from astx.functions import FunctionDef
from astx.types import Int32
from astx.enums import EncodingKind

# Define function arguments
class Argument:
    """Placeholder for the Argument class."""
    def __init__(self, name: str, type_: TypeExpr):
        self.name = name
        self.type_ = type_

class Arguments:
    """Placeholder for the Arguments class."""
    def __init__(self, args):
        self.args = args

# Define return statement
class ReturnStmt:
    """Placeholder for the ReturnStmt class."""
    def __init__(self, value, loc: SourceLocation = SourceLocation(line=0, col=0)):
        self.value = value
        self.loc = loc
        self.kind = ASTKind.ReturnStmtKind

# Function parameters
args = Arguments(args=[
    Argument(name="x", type_=Int32()),
    Argument(name="y", type_=Int32())
])

# Function body
body = Block(nodes=[
    VariableAssignment(
        target=Variable(name="result"),
        value=BinaryOp(
            op_code="+",
            lhs=Variable(name="x"),
            rhs=Variable(name="y"),
            loc=SourceLocation(line=2, col=8)
        ),
        loc=SourceLocation(line=2, col=4)
    ),
    ReturnStmt(
        value=Variable(name="result"),
        loc=SourceLocation(line=3, col=4)
    )
])

# Function definition
add_function = FunctionDef(
    name="add",
    args=args,
    body=body,
    returns=Int32(),
    decorators=[],
    loc=SourceLocation(line=1, col=0)
)

Note: The above example_ast.py includes placeholder classes (Argument, Arguments, ReturnStmt) to simulate an astx AST. You should replace these placeholders with actual implementations from your astx module.

2.5.2. Transpiling the AST to Python Code

Create a new script named generate_code.py to transpile the example AST:

# generate_code.py

from example_ast import add_function
from astx2python import ASTxToPythonGenerator

# Initialize the generator
generator = ASTxToPythonGenerator()

# Generate Python code
python_code = generator.generate(add_function)

print(python_code)

2.5.3. Running the Transpiler

Execute the transpiler script:

python generate_code.py

Expected Output:

def add(x, y) -> int:
    result = (x + y)
    return result

---

3. Enhancing the Transpiler

While the above implementation serves as a smoke test, you can enhance it further to handle more complex AST nodes and language features.

3.1. Handling Additional AST Node Types

Implement visitor functions for other AST node types as needed. For example:

@dispatch(ASTxToPythonGenerator, IfStmt)
def visit(generator: ASTxToPythonGenerator, node: IfStmt) -> str:
    """Handle IfStmt nodes."""
    condition = generator.generate(node.condition)
    header = f"if {condition}:"
    body = generator._generate_block(node.body)
    orelse = ""
    if node.orelse:
        orelse_header = f"else:"
        orelse_body = generator._generate_block(node.orelse)
        orelse = f"\n{generator.indent_str * generator.indent_level}{orelse_header}\n{orelse_body}"
    return f"{header}\n{body}{orelse}"

3.2. Supporting More Language Constructs

Extend the transpiler to support classes, loops, exception handling, etc., by implementing corresponding visitor functions.

3.3. Improving Indentation Management

Ensure that nested blocks and proper indentation are consistently handled to generate syntactically correct Python code.

3.4. Error Handling and Logging

Implement robust error handling to catch and report unsupported or malformed AST nodes gracefully.

@dispatch(ASTxToPythonGenerator, ASTNodes)
def visit(generator: ASTxToPythonGenerator, node: ASTNodes) -> str:
    """Handle unsupported or generic ASTNodes."""
    return f"# Unsupported AST node: {node.kind.name}"

---

4. Best Practices and Recommendations

4.1. Consistency with AST Structure

Ensure that your transpiler's visitor functions align closely with the structure and hierarchy of your astx AST nodes. This alignment facilitates easier maintenance and extension.

4.2. Modularizing Visitor Functions

As your transpiler grows, consider organizing visitor functions into separate modules or classes based on functionality (e.g., expressions, statements, types) to enhance code organization.

4.3. Comprehensive Testing

Develop a suite of unit tests covering various AST node types and language constructs to validate the correctness of the transpiler.

4.4. Documentation

Maintain clear documentation for each visitor function, outlining its purpose and the AST node types it handles. This practice aids future development and onboarding.

4.5. Leveraging plum Features

Explore additional features of Plum, such as type annotations and fallback mechanisms, to enhance the flexibility and robustness of your transpiler.

---

5. Conclusion

By integrating Plum's multiple dispatch into your ASTxToPythonGenerator, you've created a flexible and scalable transpiler framework. This setup not only simplifies the handling of diverse AST node types but also lays the groundwork for expanding the transpiler to support more complex language features in the future.

[xmnlab]

done! #115