mirror of
https://github.com/varun-r-mallya/Python-BPF.git
synced 2025-12-31 21:06:25 +00:00
Add basic map generation
This commit is contained in:
@ -1,7 +1,14 @@
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from pythonbpf.decorators import bpf, section
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from pythonbpf.decorators import bpf, bpfglobal, section
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from ctypes import c_void_p, c_int64, c_int32
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from ctypes import c_void_p, c_int64, c_int32
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from pythonbpf.helpers import bpf_ktime_get_ns
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from pythonbpf.helpers import bpf_ktime_get_ns
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@bpf
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@bpfglobal
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def last():
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return HashMap(key_type=c_uint64, value_type=c_uint64, max_entries=1)
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@bpf
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@bpf
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@section("tracepoint/syscalls/sys_enter_execve")
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@section("tracepoint/syscalls/sys_enter_execve")
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def hello(ctx: c_void_p) -> c_int32:
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def hello(ctx: c_void_p) -> c_int32:
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@ -9,6 +16,7 @@ def hello(ctx: c_void_p) -> c_int32:
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print("multi constant support")
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print("multi constant support")
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return c_int32(0)
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return c_int32(0)
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@bpf
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@bpf
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@section("tracepoint/syscalls/sys_exit_execve")
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@section("tracepoint/syscalls/sys_exit_execve")
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def hello_again(ctx: c_void_p) -> c_int64:
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def hello_again(ctx: c_void_p) -> c_int64:
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@ -16,4 +24,5 @@ def hello_again(ctx: c_void_p) -> c_int64:
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ts = bpf_ktime_get_ns()
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ts = bpf_ktime_get_ns()
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return c_int64(0)
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return c_int64(0)
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LICENSE = "GPL"
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LICENSE = "GPL"
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@ -4,6 +4,12 @@ def bpf(func):
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return func
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return func
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def bpfglobal(func):
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"""Decorator to mark a function as a BPF global variable."""
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func._is_bpfglobal = True
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return func
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def section(name: str):
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def section(name: str):
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def wrapper(fn):
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def wrapper(fn):
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fn._section = name
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fn._section = name
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@ -4,6 +4,7 @@ import ast
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from .bpf_helper_handler import bpf_printk_emitter, bpf_ktime_get_ns_emitter
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from .bpf_helper_handler import bpf_printk_emitter, bpf_ktime_get_ns_emitter
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from .type_deducer import ctypes_to_ir
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from .type_deducer import ctypes_to_ir
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def get_probe_string(func_node):
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def get_probe_string(func_node):
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"""Extract the probe string from the decorator of the function node."""
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"""Extract the probe string from the decorator of the function node."""
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# TODO: right now we have the whole string in the section decorator
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# TODO: right now we have the whole string in the section decorator
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@ -38,9 +39,11 @@ def process_func_body(module, builder, func_node, func, ret_type):
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elif isinstance(stmt.value, ast.Call) and isinstance(stmt.value.func, ast.Name) and len(stmt.value.args) == 1 and isinstance(stmt.value.args[0], ast.Constant) and isinstance(stmt.value.args[0].value, int):
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elif isinstance(stmt.value, ast.Call) and isinstance(stmt.value.func, ast.Name) and len(stmt.value.args) == 1 and isinstance(stmt.value.args[0], ast.Constant) and isinstance(stmt.value.args[0].value, int):
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call_type = stmt.value.func.id
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call_type = stmt.value.func.id
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if ctypes_to_ir(call_type) != ret_type:
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if ctypes_to_ir(call_type) != ret_type:
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raise ValueError(f"Return type mismatch: expected {ctypes_to_ir(call_type)}, got {call_type}")
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raise ValueError("Return type mismatch: expected"
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f"{ctypes_to_ir(call_type)}, got {call_type}")
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else:
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else:
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builder.ret(ir.Constant(ret_type, stmt.value.args[0].value))
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builder.ret(ir.Constant(
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ret_type, stmt.value.args[0].value))
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did_return = True
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did_return = True
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else:
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else:
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print("Unsupported return value")
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print("Unsupported return value")
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@ -53,8 +56,8 @@ def process_bpf_chunk(func_node, module, return_type):
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func_name = func_node.name
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func_name = func_node.name
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#TODO: The function actual arg retgurn type is parsed,
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# TODO: The function actual arg retgurn type is parsed,
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# but the actual output is not. It's still very wrong. Try uncommenting the
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# but the actual output is not. It's still very wrong. Try uncommenting the
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# code in execve2.py once
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# code in execve2.py once
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ret_type = return_type
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ret_type = return_type
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@ -89,12 +92,110 @@ def process_bpf_chunk(func_node, module, return_type):
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return func
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return func
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def create_bpf_map(module, map_name, map_params):
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"""Create a BPF map in the module with the given parameters"""
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type_mapping = {
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'c_uint32': ir.IntType(32),
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'c_uint64': ir.IntType(64),
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'c_int32': ir.IntType(32),
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'c_int64': ir.IntType(64),
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# Add more mappings as needed
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}
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key_type_str = map_params.get('key_type', 'c_uint32')
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value_type_str = map_params.get('value_type', 'c_uint32')
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key_type = type_mapping.get(key_type_str, ir.IntType(32))
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value_type = type_mapping.get(value_type_str, ir.IntType(32))
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map_struct_type = ir.LiteralStructType([
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ir.PointerType(), # type
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ir.PointerType(), # max_entries
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ir.PointerType(), # key_type
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ir.PointerType() # value_type
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])
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map_global = ir.GlobalVariable(module, map_struct_type, name=map_name)
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map_global.linkage = 'external'
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map_global.initializer = ir.Constant(
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map_struct_type, [None, None, None, None])
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map_global.section = ".maps"
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map_global.align = 8
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# TODO: Store map parameters in metadata or a suitable structure
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# maps[map_name] = {
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# 'global': map_global,
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# 'key_type': key_type,
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# 'value_type': value_type,
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# 'max_entries': map_params.get('max_entries', 1),
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# 'map_type': map_params.get('map_type', 'BPF_MAP_TYPE_HASH')
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# }
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print(f"Created BPF map: {map_name}")
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return map_global
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def process_bpf_global(func_node, module):
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"""Process a BPF global (a function decorated with @bpfglobal)"""
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global_name = func_node.name
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print(f"Processing BPF global: {global_name}")
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# For now, assume single return statement
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return_stmt = None
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for stmt in func_node.body:
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if isinstance(stmt, ast.Return):
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return_stmt = stmt
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break
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if return_stmt is None:
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raise ValueError("BPF global must have a return statement")
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rval = return_stmt.value
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# For now, just handle maps
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if isinstance(rval, ast.Call) and isinstance(rval.func, ast.Name) and rval.func.id == "HashMap":
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print(f"Creating HashMap global: {global_name}")
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map_params = {'map_type': 'HASH'}
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# Handle positional arguments
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if rval.args:
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# Assuming order is: key_type, value_type, max_entries
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if len(rval.args) >= 1 and isinstance(rval.args[0], ast.Name):
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map_params['key_type'] = rval.args[0].id
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if len(rval.args) >= 2 and isinstance(rval.args[1], ast.Name):
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map_params['value_type'] = rval.args[1].id
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if len(rval.args) >= 3 and isinstance(rval.args[2], ast.Constant):
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map_params['max_entries'] = rval.args[2].value
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# Handle keyword arguments (these will override any positional args)
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for keyword in rval.keywords:
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if keyword.arg == "key_type" and isinstance(keyword.value, ast.Name):
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map_params['key_type'] = keyword.value.id
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elif keyword.arg == "value_type" and isinstance(keyword.value, ast.Name):
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map_params['value_type'] = keyword.value.id
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elif keyword.arg == "max_entries" and isinstance(keyword.value, ast.Constant):
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map_params['max_entries'] = keyword.value.value
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print(f"Map parameters: {map_params}")
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print(create_bpf_map(module, global_name, map_params))
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def func_proc(tree, module, chunks):
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def func_proc(tree, module, chunks):
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for func_node in chunks:
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for func_node in chunks:
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# Check if this function is a global
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is_global = False
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for decorator in func_node.decorator_list:
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if isinstance(decorator, ast.Name) and decorator.id == "bpfglobal":
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is_global = True
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break
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if is_global:
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print(f"Found BPF global: {func_node.name}")
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process_bpf_global(func_node, module)
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continue
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func_type = get_probe_string(func_node)
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func_type = get_probe_string(func_node)
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print(f"Found probe_string of {func_node.name}: {func_type}")
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print(f"Found probe_string of {func_node.name}: {func_type}")
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process_bpf_chunk(func_node, module, ctypes_to_ir(infer_return_type(func_node)))
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process_bpf_chunk(func_node, module, ctypes_to_ir(
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infer_return_type(func_node)))
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def infer_return_type(func_node: ast.FunctionDef):
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def infer_return_type(func_node: ast.FunctionDef):
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if not isinstance(func_node, (ast.FunctionDef, ast.AsyncFunctionDef)):
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if not isinstance(func_node, (ast.FunctionDef, ast.AsyncFunctionDef)):
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@ -113,6 +214,7 @@ def infer_return_type(func_node: ast.FunctionDef):
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except Exception:
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except Exception:
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return type(node).__name__
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return type(node).__name__
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found_type = None
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found_type = None
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def _expr_type(e):
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def _expr_type(e):
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if e is None:
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if e is None:
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return "None"
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return "None"
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@ -148,5 +250,6 @@ def infer_return_type(func_node: ast.FunctionDef):
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if found_type is None:
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if found_type is None:
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found_type = t
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found_type = t
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elif found_type != t:
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elif found_type != t:
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raise ValueError(f"Conflicting return types: {found_type} vs {t}")
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raise ValueError("Conflicting return types:"
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f"{found_type} vs {t}")
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return found_type or "None"
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return found_type or "None"
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