Merge pull request #28 from pythonbpf/vmlinux-working

Add compilation mechanism from vmlinux
Still  does not compile to IR. only does semantic analysis.
Another PR will be opened soon for IR generation.

pythonbpf/codegen.py

@@ -4,6 +4,7 @@ from .license_pass import license_processing
 from .functions import func_proc
 from .maps import maps_proc
 from .structs import structs_proc
+from .vmlinux_parser import vmlinux_proc
 from .globals_pass import (
     globals_list_creation,
     globals_processing,
@@ -44,6 +45,7 @@ def processor(source_code, filename, module):
     for func_node in bpf_chunks:
         logger.info(f"Found BPF function/struct: {func_node.name}")
 
+    vmlinux_proc(tree, module)
     populate_global_symbol_table(tree, module)
     license_processing(tree, module)
     globals_processing(tree, module)

pythonbpf/helper/helpers.py

@@ -15,5 +15,8 @@ def deref(ptr):
     return result if result is not None else 0
 
 
+XDP_ABORTED = ctypes.c_int64(0)
 XDP_DROP = ctypes.c_int64(1)
 XDP_PASS = ctypes.c_int64(2)
+XDP_TX = ctypes.c_int64(3)
+XDP_REDIRECT = ctypes.c_int64(4)

pythonbpf/vmlinux_parser/__init__.py

@@ -0,0 +1,3 @@
+from .import_detector import vmlinux_proc
+
+__all__ = ["vmlinux_proc"]

pythonbpf/vmlinux_parser/class_handler.py

@@ -0,0 +1,167 @@
+import logging
+from functools import lru_cache
+import importlib
+from .dependency_handler import DependencyHandler
+from .dependency_node import DependencyNode
+import ctypes
+from typing import Optional, Any, Dict
+
+logger = logging.getLogger(__name__)
+
+
+@lru_cache(maxsize=1)
+def get_module_symbols(module_name: str):
+    imported_module = importlib.import_module(module_name)
+    return [name for name in dir(imported_module)], imported_module
+
+
+def process_vmlinux_class(node, llvm_module, handler: DependencyHandler):
+    symbols_in_module, imported_module = get_module_symbols("vmlinux")
+    if node.name in symbols_in_module:
+        vmlinux_type = getattr(imported_module, node.name)
+        process_vmlinux_post_ast(vmlinux_type, llvm_module, handler)
+    else:
+        raise ImportError(f"{node.name} not in vmlinux")
+
+
+def process_vmlinux_post_ast(
+    elem_type_class, llvm_handler, handler: DependencyHandler, processing_stack=None
+):
+    # Initialize processing stack on first call
+    if processing_stack is None:
+        processing_stack = set()
+    symbols_in_module, imported_module = get_module_symbols("vmlinux")
+
+    current_symbol_name = elem_type_class.__name__
+    logger.info(f"Begin {current_symbol_name} Processing")
+    field_table: Dict[str, list] = {}
+    is_complex_type = False
+    containing_type: Optional[Any] = None
+    ctype_complex_type: Optional[Any] = None
+    type_length: Optional[int] = None
+    module_name = getattr(elem_type_class, "__module__", None)
+
+    # Check if already processed
+    if handler.has_node(current_symbol_name):
+        logger.debug(f"Node {current_symbol_name} already processed and ready")
+        return True
+
+    # XXX:Check it's use. It's probably not being used.
+    if current_symbol_name in processing_stack:
+        logger.debug(
+            f"Dependency already in processing stack for {current_symbol_name}, skipping"
+        )
+        return True
+
+    processing_stack.add(current_symbol_name)
+
+    if module_name == "vmlinux":
+        if hasattr(elem_type_class, "_type_"):
+            pass
+        else:
+            new_dep_node = DependencyNode(name=current_symbol_name)
+            handler.add_node(new_dep_node)
+            class_obj = getattr(imported_module, current_symbol_name)
+            # Inspect the class fields
+            if hasattr(class_obj, "_fields_"):
+                for field_elem in class_obj._fields_:
+                    field_name: str = ""
+                    field_type: Optional[Any] = None
+                    bitfield_size: Optional[int] = None
+                    if len(field_elem) == 2:
+                        field_name, field_type = field_elem
+                    elif len(field_elem) == 3:
+                        field_name, field_type, bitfield_size = field_elem
+                    field_table[field_name] = [field_type, bitfield_size]
+            elif hasattr(class_obj, "__annotations__"):
+                for field_elem in class_obj.__annotations__.items():
+                    if len(field_elem) == 2:
+                        field_name, field_type = field_elem
+                        bitfield_size = None
+                    elif len(field_elem) == 3:
+                        field_name, field_type, bitfield_size = field_elem
+                    else:
+                        raise ValueError(
+                            "Number of fields in items() of class object unexpected"
+                        )
+                    field_table[field_name] = [field_type, bitfield_size]
+            else:
+                raise TypeError("Could not get required class and definition")
+
+            logger.debug(f"Extracted fields for {current_symbol_name}: {field_table}")
+            for elem in field_table.items():
+                elem_name, elem_temp_list = elem
+                [elem_type, elem_bitfield_size] = elem_temp_list
+                local_module_name = getattr(elem_type, "__module__", None)
+                new_dep_node.add_field(elem_name, elem_type, ready=False)
+                if local_module_name == ctypes.__name__:
+                    new_dep_node.set_field_bitfield_size(elem_name, elem_bitfield_size)
+                    new_dep_node.set_field_ready(elem_name, is_ready=True)
+                    logger.debug(
+                        f"Field {elem_name} is direct ctypes type: {elem_type}"
+                    )
+                elif local_module_name == "vmlinux":
+                    new_dep_node.set_field_bitfield_size(elem_name, elem_bitfield_size)
+                    logger.debug(
+                        f"Processing vmlinux field: {elem_name}, type: {elem_type}"
+                    )
+                    if hasattr(elem_type, "_type_"):
+                        is_complex_type = True
+                        containing_type = elem_type._type_
+                        if hasattr(elem_type, "_length_") and is_complex_type:
+                            type_length = elem_type._length_
+
+                        if containing_type.__module__ == "vmlinux":
+                            pass
+                        elif containing_type.__module__ == ctypes.__name__:
+                            if isinstance(elem_type, type):
+                                if issubclass(elem_type, ctypes.Array):
+                                    ctype_complex_type = ctypes.Array
+                                elif issubclass(elem_type, ctypes._Pointer):
+                                    ctype_complex_type = ctypes._Pointer
+                            else:
+                                raise TypeError("Unsupported ctypes subclass")
+                        else:
+                            raise ImportError(
+                                f"Unsupported module of {containing_type}"
+                            )
+                        logger.debug(
+                            f"{containing_type} containing type of parent {elem_name} with {elem_type} and ctype {ctype_complex_type} and length {type_length}"
+                        )
+                        new_dep_node.set_field_containing_type(
+                            elem_name, containing_type
+                        )
+                        new_dep_node.set_field_type_size(elem_name, type_length)
+                        new_dep_node.set_field_ctype_complex_type(
+                            elem_name, ctype_complex_type
+                        )
+                        new_dep_node.set_field_type(elem_name, elem_type)
+                        if containing_type.__module__ == "vmlinux":
+                            process_vmlinux_post_ast(
+                                containing_type, llvm_handler, handler, processing_stack
+                            )
+                            new_dep_node.set_field_ready(elem_name, True)
+                        elif containing_type.__module__ == ctypes.__name__:
+                            logger.debug(f"Processing ctype internal{containing_type}")
+                            new_dep_node.set_field_ready(elem_name, True)
+                        else:
+                            raise TypeError(
+                                "Module not supported in recursive resolution"
+                            )
+                    else:
+                        process_vmlinux_post_ast(
+                            elem_type, llvm_handler, handler, processing_stack
+                        )
+                        new_dep_node.set_field_ready(elem_name, True)
+                else:
+                    raise ValueError(
+                        f"{elem_name} with type {elem_type} from module {module_name} not supported in recursive resolver"
+                    )
+
+    else:
+        raise ImportError("UNSUPPORTED Module")
+
+    logging.info(
+        f"{current_symbol_name} processed and handler readiness {handler.is_ready}"
+    )
+    return True

pythonbpf/vmlinux_parser/dependency_handler.py

@@ -0,0 +1,149 @@
+from typing import Optional, Dict, List, Iterator
+from .dependency_node import DependencyNode
+
+
+class DependencyHandler:
+    """
+    Manages a collection of DependencyNode objects with no duplicates.
+
+    Ensures that no two nodes with the same name can be added and provides
+    methods to check readiness and retrieve specific nodes.
+
+    Example usage:
+        # Create a handler
+        handler = DependencyHandler()
+
+        # Create some dependency nodes
+        node1 = DependencyNode(name="node1")
+        node1.add_field("field1", str)
+        node1.set_field_value("field1", "value1")
+
+        node2 = DependencyNode(name="node2")
+        node2.add_field("field1", int)
+
+        # Add nodes to the handler
+        handler.add_node(node1)
+        handler.add_node(node2)
+
+        # Check if a specific node exists
+        print(handler.has_node("node1"))  # True
+
+        # Get a reference to a node and modify it
+        node = handler.get_node("node2")
+        node.set_field_value("field1", 42)
+
+        # Check if all nodes are ready
+        print(handler.is_ready)  # False (node2 is ready, but node1 isn't)
+    """
+
+    def __init__(self):
+        # Using a dictionary with node names as keys ensures name uniqueness
+        # and provides efficient lookups
+        self._nodes: Dict[str, DependencyNode] = {}
+
+    def add_node(self, node: DependencyNode) -> bool:
+        """
+        Add a dependency node to the handler.
+
+        Args:
+            node: The DependencyNode to add
+
+        Returns:
+            bool: True if the node was added, False if a node with the same name already exists
+
+        Raises:
+            TypeError: If the provided object is not a DependencyNode
+        """
+        if not isinstance(node, DependencyNode):
+            raise TypeError(f"Expected DependencyNode, got {type(node).__name__}")
+
+        # Check if a node with this name already exists
+        if node.name in self._nodes:
+            return False
+
+        self._nodes[node.name] = node
+        return True
+
+    @property
+    def is_ready(self) -> bool:
+        """
+        Check if all nodes are ready.
+
+        Returns:
+            bool: True if all nodes are ready (or if there are no nodes), False otherwise
+        """
+        if not self._nodes:
+            return True
+
+        return all(node.is_ready for node in self._nodes.values())
+
+    def has_node(self, name: str) -> bool:
+        """
+        Check if a node with the given name exists.
+
+        Args:
+            name: The name to check
+
+        Returns:
+            bool: True if a node with the given name exists, False otherwise
+        """
+        return name in self._nodes
+
+    def get_node(self, name: str) -> Optional[DependencyNode]:
+        """
+        Get a node by name for manipulation.
+
+        Args:
+            name: The name of the node to retrieve
+
+        Returns:
+            Optional[DependencyNode]: The node with the given name, or None if not found
+        """
+        return self._nodes.get(name)
+
+    def remove_node(self, node_or_name) -> bool:
+        """
+        Remove a node by name or reference.
+
+        Args:
+            node_or_name: The node to remove or its name
+
+        Returns:
+            bool: True if the node was removed, False if not found
+        """
+        if isinstance(node_or_name, DependencyNode):
+            name = node_or_name.name
+        else:
+            name = node_or_name
+
+        if name in self._nodes:
+            del self._nodes[name]
+            return True
+        return False
+
+    def get_all_nodes(self) -> List[DependencyNode]:
+        """
+        Get all nodes stored in the handler.
+
+        Returns:
+            List[DependencyNode]: List of all nodes
+        """
+        return list(self._nodes.values())
+
+    def __iter__(self) -> Iterator[DependencyNode]:
+        """
+        Iterate over all nodes.
+
+        Returns:
+            Iterator[DependencyNode]: Iterator over all nodes
+        """
+        return iter(self._nodes.values())
+
+    def __len__(self) -> int:
+        """
+        Get the number of nodes in the handler.
+
+        Returns:
+            int: The number of nodes
+        """
+        return len(self._nodes)

pythonbpf/vmlinux_parser/dependency_node.py

@@ -0,0 +1,237 @@
+from dataclasses import dataclass, field
+from typing import Dict, Any, Optional
+
+
+# TODO: FIX THE FUCKING TYPE NAME CONVENTION.
+@dataclass
+class Field:
+    """Represents a field in a dependency node with its type and readiness state."""
+
+    name: str
+    type: type
+    ctype_complex_type: Optional[Any]
+    containing_type: Optional[Any]
+    type_size: Optional[int]
+    bitfield_size: Optional[int]
+    value: Any = None
+    ready: bool = False
+
+    def set_ready(self, is_ready: bool = True) -> None:
+        """Set the readiness state of this field."""
+        self.ready = is_ready
+
+    def set_value(self, value: Any, mark_ready: bool = False) -> None:
+        """Set the value of this field and optionally mark it as ready."""
+        self.value = value
+        if mark_ready:
+            self.ready = True
+
+    def set_type(self, given_type, mark_ready: bool = False) -> None:
+        """Set value of the type field and mark as ready"""
+        self.type = given_type
+        if mark_ready:
+            self.ready = True
+
+    def set_containing_type(
+        self, containing_type: Optional[Any], mark_ready: bool = False
+    ) -> None:
+        """Set the containing_type of this field and optionally mark it as ready."""
+        self.containing_type = containing_type
+        if mark_ready:
+            self.ready = True
+
+    def set_type_size(self, type_size: Any, mark_ready: bool = False) -> None:
+        """Set the type_size of this field and optionally mark it as ready."""
+        self.type_size = type_size
+        if mark_ready:
+            self.ready = True
+
+    def set_ctype_complex_type(
+        self, ctype_complex_type: Any, mark_ready: bool = False
+    ) -> None:
+        """Set the ctype_complex_type of this field and optionally mark it as ready."""
+        self.ctype_complex_type = ctype_complex_type
+        if mark_ready:
+            self.ready = True
+
+    def set_bitfield_size(self, bitfield_size: Any, mark_ready: bool = False) -> None:
+        """Set the bitfield_size of this field and optionally mark it as ready."""
+        self.bitfield_size = bitfield_size
+        if mark_ready:
+            self.ready = True
+
+
+@dataclass
+class DependencyNode:
+    """
+    A node with typed fields and readiness tracking.
+
+    Example usage:
+        # Create a dependency node for a Person
+        somestruct = DependencyNode(name="struct_1")
+
+        # Add fields with their types
+        somestruct.add_field("field_1", str)
+        somestruct.add_field("field_2", int)
+        somestruct.add_field("field_3", str)
+
+        # Check if the node is ready (should be False initially)
+        print(f"Is node ready? {somestruct.is_ready}")  # False
+
+        # Set some field values
+        somestruct.set_field_value("field_1", "someproperty")
+        somestruct.set_field_value("field_2", 30)
+
+        # Check if the node is ready (still False because email is not ready)
+        print(f"Is node ready? {somestruct.is_ready}")  # False
+
+        # Set the last field and make the node ready
+        somestruct.set_field_value("field_3", "anotherproperty")
+
+        # Now the node should be ready
+        print(f"Is node ready? {somestruct.is_ready}")  # True
+
+        # You can also mark a field as not ready
+        somestruct.set_field_ready("field_3", False)
+
+        # Now the node is not ready again
+        print(f"Is node ready? {somestruct.is_ready}")  # False
+
+        # Get all field values
+        print(somestruct.get_field_values())  # {'field_1': 'someproperty', 'field_2': 30, 'field_3': 'anotherproperty'}
+
+        # Get only ready fields
+        ready_fields = somestruct.get_ready_fields()
+        print(f"Ready fields: {[field.name for field in ready_fields.values()]}")  # ['field_1', 'field_2']
+    """
+
+    name: str
+    fields: Dict[str, Field] = field(default_factory=dict)
+    _ready_cache: Optional[bool] = field(default=None, repr=False)
+
+    def add_field(
+        self,
+        name: str,
+        field_type: type,
+        initial_value: Any = None,
+        containing_type: Optional[Any] = None,
+        type_size: Optional[int] = None,
+        ctype_complex_type: Optional[int] = None,
+        bitfield_size: Optional[int] = None,
+        ready: bool = False,
+    ) -> None:
+        """Add a field to the node with an optional initial value and readiness state."""
+        self.fields[name] = Field(
+            name=name,
+            type=field_type,
+            value=initial_value,
+            ready=ready,
+            containing_type=containing_type,
+            type_size=type_size,
+            ctype_complex_type=ctype_complex_type,
+            bitfield_size=bitfield_size,
+        )
+        # Invalidate readiness cache
+        self._ready_cache = None
+
+    def get_field(self, name: str) -> Field:
+        """Get a field by name."""
+        return self.fields[name]
+
+    def set_field_value(self, name: str, value: Any, mark_ready: bool = False) -> None:
+        """Set a field's value and optionally mark it as ready."""
+        if name not in self.fields:
+            raise KeyError(f"Field '{name}' does not exist in node '{self.name}'")
+
+        self.fields[name].set_value(value, mark_ready)
+        # Invalidate readiness cache
+        self._ready_cache = None
+
+    def set_field_type(self, name: str, type: Any, mark_ready: bool = False) -> None:
+        """Set a field's type and optionally mark it as ready."""
+        if name not in self.fields:
+            raise KeyError(f"Field '{name}' does not exist in node '{self.name}'")
+
+        self.fields[name].set_type(type, mark_ready)
+        # Invalidate readiness cache
+        self._ready_cache = None
+
+    def set_field_containing_type(
+        self, name: str, containing_type: Any, mark_ready: bool = False
+    ) -> None:
+        """Set a field's containing_type and optionally mark it as ready."""
+        if name not in self.fields:
+            raise KeyError(f"Field '{name}' does not exist in node '{self.name}'")
+
+        self.fields[name].set_containing_type(containing_type, mark_ready)
+        # Invalidate readiness cache
+        self._ready_cache = None
+
+    def set_field_type_size(
+        self, name: str, type_size: Any, mark_ready: bool = False
+    ) -> None:
+        """Set a field's type_size and optionally mark it as ready."""
+        if name not in self.fields:
+            raise KeyError(f"Field '{name}' does not exist in node '{self.name}'")
+
+        self.fields[name].set_type_size(type_size, mark_ready)
+        # Invalidate readiness cache
+        self._ready_cache = None
+
+    def set_field_ctype_complex_type(
+        self, name: str, ctype_complex_type: Any, mark_ready: bool = False
+    ) -> None:
+        """Set a field's ctype_complex_type and optionally mark it as ready."""
+        if name not in self.fields:
+            raise KeyError(f"Field '{name}' does not exist in node '{self.name}'")
+
+        self.fields[name].set_ctype_complex_type(ctype_complex_type, mark_ready)
+        # Invalidate readiness cache
+        self._ready_cache = None
+
+    def set_field_bitfield_size(
+        self, name: str, bitfield_size: Any, mark_ready: bool = False
+    ) -> None:
+        """Set a field's bitfield_size and optionally mark it as ready."""
+        if name not in self.fields:
+            raise KeyError(f"Field '{name}' does not exist in node '{self.name}'")
+
+        self.fields[name].set_bitfield_size(bitfield_size, mark_ready)
+        # Invalidate readiness cache
+        self._ready_cache = None
+
+    def set_field_ready(self, name: str, is_ready: bool = False) -> None:
+        """Mark a field as ready or not ready."""
+        if name not in self.fields:
+            raise KeyError(f"Field '{name}' does not exist in node '{self.name}'")
+
+        self.fields[name].set_ready(is_ready)
+        # Invalidate readiness cache
+        self._ready_cache = None
+
+    @property
+    def is_ready(self) -> bool:
+        """Check if the node is ready (all fields are ready)."""
+        # Use cached value if available
+        if self._ready_cache is not None:
+            return self._ready_cache
+
+        # Calculate readiness only when needed
+        if not self.fields:
+            self._ready_cache = True
+            return True
+
+        self._ready_cache = all(elem.ready for elem in self.fields.values())
+        return self._ready_cache
+
+    def get_field_values(self) -> Dict[str, Any]:
+        """Get a dictionary of field names to their values."""
+        return {name: elem.value for name, elem in self.fields.items()}
+
+    def get_ready_fields(self) -> Dict[str, Field]:
+        """Get all fields that are marked as ready."""
+        return {name: elem for name, elem in self.fields.items() if elem.ready}
+
+    def get_not_ready_fields(self) -> Dict[str, Field]:
+        """Get all fields that are marked as not ready."""
+        return {name: elem for name, elem in self.fields.items() if not elem.ready}

pythonbpf/vmlinux_parser/import_detector.py

@@ -0,0 +1,135 @@
+import ast
+import logging
+from typing import List, Tuple, Dict
+import importlib
+import inspect
+
+from .dependency_handler import DependencyHandler
+from .ir_generation import IRGenerator
+from .class_handler import process_vmlinux_class
+
+logger = logging.getLogger(__name__)
+
+
+def detect_import_statement(tree: ast.AST) -> List[Tuple[str, ast.ImportFrom]]:
+    """
+    Parse AST and detect import statements from vmlinux.
+
+    Returns a list of tuples (module_name, imported_item) for vmlinux imports.
+    Raises SyntaxError for invalid import patterns.
+
+    Args:
+        tree: The AST to parse
+
+    Returns:
+        List of tuples containing (module_name, imported_item) for each vmlinux import
+
+    Raises:
+        SyntaxError: If multiple imports from vmlinux are attempted or import * is used
+    """
+    vmlinux_imports = []
+
+    for node in ast.walk(tree):
+        # Handle "from vmlinux import ..." statements
+        if isinstance(node, ast.ImportFrom):
+            if node.module == "vmlinux":
+                # Check for wildcard import: from vmlinux import *
+                if any(alias.name == "*" for alias in node.names):
+                    raise SyntaxError(
+                        "Wildcard imports from vmlinux are not supported. "
+                        "Please import specific types explicitly."
+                    )
+
+                # Check for multiple imports: from vmlinux import A, B, C
+                if len(node.names) > 1:
+                    imported_names = [alias.name for alias in node.names]
+                    raise SyntaxError(
+                        f"Multiple imports from vmlinux are not supported. "
+                        f"Found: {', '.join(imported_names)}. "
+                        f"Please use separate import statements for each type."
+                    )
+
+                # Check if no specific import is specified (should not happen with valid Python)
+                if len(node.names) == 0:
+                    raise SyntaxError(
+                        "Import from vmlinux must specify at least one type."
+                    )
+
+                # Valid single import
+                for alias in node.names:
+                    import_name = alias.name
+                    # Use alias if provided, otherwise use the original name (commented)
+                    # as_name = alias.asname if alias.asname else alias.name
+                    vmlinux_imports.append(("vmlinux", node))
+                    logger.info(f"Found vmlinux import: {import_name}")
+
+        # Handle "import vmlinux" statements (not typical but should be rejected)
+        elif isinstance(node, ast.Import):
+            for alias in node.names:
+                if alias.name == "vmlinux" or alias.name.startswith("vmlinux."):
+                    raise SyntaxError(
+                        "Direct import of vmlinux module is not supported. "
+                        "Use 'from vmlinux import <type>' instead."
+                    )
+
+    logger.info(f"Total vmlinux imports detected: {len(vmlinux_imports)}")
+    return vmlinux_imports
+
+
+def vmlinux_proc(tree: ast.AST, module):
+    import_statements = detect_import_statement(tree)
+
+    # initialise dependency handler
+    handler = DependencyHandler()
+    # initialise assignment dictionary of name to type
+    assignments: Dict[str, type] = {}
+
+    if not import_statements:
+        logger.info("No vmlinux imports found")
+        return
+
+    # Import vmlinux module directly
+    try:
+        vmlinux_mod = importlib.import_module("vmlinux")
+    except ImportError:
+        logger.warning("Could not import vmlinux module")
+        return
+
+    source_file = inspect.getsourcefile(vmlinux_mod)
+    if source_file is None:
+        logger.warning("Cannot find source for vmlinux module")
+        return
+
+    with open(source_file, "r") as f:
+        mod_ast = ast.parse(f.read(), filename=source_file)
+
+    for import_mod, import_node in import_statements:
+        for alias in import_node.names:
+            imported_name = alias.name
+            found = False
+            for mod_node in mod_ast.body:
+                if (
+                    isinstance(mod_node, ast.ClassDef)
+                    and mod_node.name == imported_name
+                ):
+                    process_vmlinux_class(mod_node, module, handler)
+                    found = True
+                    break
+                if isinstance(mod_node, ast.Assign):
+                    for target in mod_node.targets:
+                        if isinstance(target, ast.Name) and target.id == imported_name:
+                            process_vmlinux_assign(mod_node, module, assignments)
+                            found = True
+                            break
+                if found:
+                    break
+            if not found:
+                logger.info(
+                    f"{imported_name} not found as ClassDef or Assign in vmlinux"
+                )
+
+    IRGenerator(module, handler)
+
+
+def process_vmlinux_assign(node, module, assignments: Dict[str, type]):
+    raise NotImplementedError("Assignment handling has not been implemented yet")

pythonbpf/vmlinux_parser/ir_generation.py

@@ -0,0 +1,14 @@
+import logging
+from .dependency_handler import DependencyHandler
+
+logger = logging.getLogger(__name__)
+
+
+class IRGenerator:
+    def __init__(self, module, handler: DependencyHandler):
+        self.module = module
+        self.handler: DependencyHandler = handler
+        if not handler.is_ready:
+            raise ImportError(
+                "Semantic analysis of vmlinux imports failed. Cannot generate IR"
+            )