PythonBPF: Add Compilation Context to allow parallel compilation of multiple jobs#82
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PythonBPF: Add Compilation Context to allow parallel compilation of multiple jobs#82
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…ultiple bpf programs
r41k0u
commented
Mar 28, 2026
| sz = None | ||
| if isinstance(arg, ast.Name): | ||
| # Stack space is already allocated | ||
| ptr = get_var_ptr_from_name(arg.id, local_sym_tab) |
r41k0u
commented
Mar 28, 2026
| val = get_operand_value( | ||
| func, module, arg, builder, local_sym_tab, map_sym_tab, struct_sym_tab | ||
| ) | ||
| val = eval_expr(func, compilation_context, builder, arg, local_sym_tab) |
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This looked sus but is probably fine
r41k0u
commented
Mar 28, 2026
pythonbpf/helper/helper_utils.py
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| _temp_pool_manager = ScratchPoolManager() # Singleton instance | ||
| # Simple check for name |
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Don't like this, will stick to older implementation but with compilation context. This is somehow incompatible with bpf_helper_handler as well
r41k0u
commented
Mar 28, 2026
pythonbpf/maps/maps_pass.py
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| if handler and handler.is_vmlinux_enum(name): | ||
| return handler.get_vmlinux_enum_value(name) | ||
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| # Fallback to VmlinuxHandlerRegistry if handler invalid |
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This is unnecessary until we port VmlinuxHandlerRegistry to compilation_context
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I'd say even undesirable
r41k0u
commented
Mar 28, 2026
pythonbpf/allocation_pass.py
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| logger.debug(f"Allocated temp variable: {temp_name}") | ||
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| def _get_alignment(tmp_type): |
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unnecessary to change this
r41k0u
commented
Mar 28, 2026
pythonbpf/allocation_pass.py
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| def _allocate_for_attribute(builder, var_name, rval, local_sym_tab, structs_sym_tab): | ||
| def _allocate_with_type(builder, var_name, ir_type): |
r41k0u
commented
Mar 28, 2026
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r41k0u
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r41k0u
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Reviewed once. All the things I didn't like have been changed. Will test again and merge.
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Introduces
Compilation Contextto allow multiple job runs on different threads, and to clean up core implementation - cleaner function signatures