Add basic map generation

This commit is contained in:
Pragyansh Chaturvedi
2025-09-08 04:21:09 +05:30
parent 70dfa0ff58
commit 1bbf004554
3 changed files with 125 additions and 7 deletions

View File

@ -4,6 +4,12 @@ def bpf(func):
return func
def bpfglobal(func):
"""Decorator to mark a function as a BPF global variable."""
func._is_bpfglobal = True
return func
def section(name: str):
def wrapper(fn):
fn._section = name

View File

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