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https://github.com/varun-r-mallya/Python-BPF.git
synced 2025-12-31 21:06:25 +00:00
Add deref(), add delete helper, refactor pre-alloc
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@ -79,6 +79,17 @@ def handle_assign(func, module, builder, stmt, map_sym_tab, local_sym_tab):
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builder.store(val, local_sym_tab[var_name])
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# local_sym_tab[var_name] = var
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print(f"Assigned constant {rval.func.id} to {var_name}")
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elif call_type == "deref" and len(rval.args) == 1:
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print(f"Handling deref assignment {ast.dump(rval)}")
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val = eval_expr(func, module, builder, rval,
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local_sym_tab, map_sym_tab)
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if val is None:
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print("Failed to evaluate deref argument")
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return
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print(f"Dereferenced value: {val}, storing in {var_name}")
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builder.store(val, local_sym_tab[var_name])
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# local_sym_tab[var_name] = var
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print(f"Dereferenced and assigned to {var_name}")
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else:
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print(f"Unsupported assignment call type: {call_type}")
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elif isinstance(rval.func, ast.Attribute):
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@ -227,16 +238,16 @@ def process_stmt(func, module, builder, stmt, local_sym_tab, map_sym_tab, did_re
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return did_return
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def process_func_body(module, builder, func_node, func, ret_type, map_sym_tab):
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"""Process the body of a bpf function"""
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# TODO: A lot. We just have print -> bpf_trace_printk for now
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did_return = False
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local_sym_tab = {}
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# pre-allocate dynamic variables
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for stmt in func_node.body:
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if isinstance(stmt, ast.Assign):
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def allocate_mem(module, builder, body, func, ret_type, map_sym_tab, local_sym_tab):
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for stmt in body:
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if isinstance(stmt, ast.If):
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if stmt.body:
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local_sym_tab = allocate_mem(
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module, builder, stmt.body, func, ret_type, map_sym_tab, local_sym_tab)
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if stmt.orelse:
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local_sym_tab = allocate_mem(
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module, builder, stmt.orelse, func, ret_type, map_sym_tab, local_sym_tab)
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elif isinstance(stmt, ast.Assign):
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if len(stmt.targets) != 1:
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print("Unsupported multiassignment")
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continue
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@ -262,6 +273,13 @@ def process_func_body(module, builder, func_node, func, ret_type, map_sym_tab):
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var.align = ir_type.width // 8
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print(
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f"Pre-allocated variable {var_name} for helper")
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elif call_type == "deref" and len(rval.args) == 1:
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# Assume return type is int64 for now
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ir_type = ir.IntType(64)
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var = builder.alloca(ir_type, name=var_name)
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var.align = ir_type.width // 8
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print(
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f"Pre-allocated variable {var_name} for deref")
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elif isinstance(rval.func, ast.Attribute):
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ir_type = ir.PointerType(ir.IntType(64))
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var = builder.alloca(ir_type, name=var_name)
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@ -292,6 +310,19 @@ def process_func_body(module, builder, func_node, func, ret_type, map_sym_tab):
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print("Unsupported assignment value type")
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continue
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local_sym_tab[var_name] = var
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return local_sym_tab
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def process_func_body(module, builder, func_node, func, ret_type, map_sym_tab):
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"""Process the body of a bpf function"""
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# TODO: A lot. We just have print -> bpf_trace_printk for now
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did_return = False
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local_sym_tab = {}
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# pre-allocate dynamic variables
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local_sym_tab = allocate_mem(
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module, builder, func_node.body, func, ret_type, map_sym_tab, local_sym_tab)
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print(f"Local symbol table: {local_sym_tab.keys()}")
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