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:
@ -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
|
||||
|
||||
@ -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"
|
||||
|
||||
Reference in New Issue
Block a user