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https://github.com/varun-r-mallya/Python-BPF.git
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67 lines
2.5 KiB
Python
67 lines
2.5 KiB
Python
import ast
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import llvmlite.ir as ir
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import logging
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from pythonbpf.debuginfo import DebugInfoGenerator
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from pythonbpf.expr import VmlinuxHandlerRegistry
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import ctypes
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logger = logging.getLogger(__name__)
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def generate_function_debug_info(
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func_node: ast.FunctionDef, module: ir.Module, func: ir.Function
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):
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generator = DebugInfoGenerator(module)
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leading_argument = func_node.args.args[0]
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leading_argument_name = leading_argument.arg
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annotation = leading_argument.annotation
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if func_node.returns is None:
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# TODO: should check if this logic is consistent with function return type handling elsewhere
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return_type = ctypes.c_int64()
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elif hasattr(func_node.returns, "id"):
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return_type = func_node.returns.id
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if return_type == "c_int32":
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return_type = generator.get_int32_type()
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elif return_type == "c_int64":
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return_type = generator.get_int64_type()
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elif return_type == "c_uint32":
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return_type = generator.get_uint32_type()
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elif return_type == "c_uint64":
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return_type = generator.get_uint64_type()
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else:
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logger.warning(
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"Return type should be int32, int64, uint32 or uint64 only. Falling back to int64"
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)
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return_type = generator.get_int64_type()
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else:
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return_type = ctypes.c_int64()
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# context processing
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if annotation is None:
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logger.warning("Type of context of function not found.")
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return
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if hasattr(annotation, "id"):
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ctype_name = annotation.id
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if ctype_name == "c_void_p":
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return
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elif ctype_name.startswith("ctypes"):
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raise SyntaxError(
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"The first argument should always be a pointer to a struct or a void pointer"
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)
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context_debug_info = VmlinuxHandlerRegistry.get_struct_debug_info(annotation.id)
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pointer_to_context_debug_info = generator.create_pointer_type(
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context_debug_info, 64
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)
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subroutine_type = generator.create_subroutine_type(
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return_type, pointer_to_context_debug_info
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)
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context_local_variable = generator.create_local_variable_debug_info(
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leading_argument_name, 1, pointer_to_context_debug_info
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)
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# following is just a test.
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generator.add_scope_to_local_variable(context_local_variable, module._file_metadata)
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print(context_local_variable)
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else:
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logger.error(f"Invalid annotation type for argument '{leading_argument_name}'")
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