backtrace.cpp File Reference

#include <cpu_io.h>
#include <elf.h>
#include <array>
#include <cerrno>
#include <cstdint>
#include "arch.h"
#include "basic_info.hpp"
#include "kernel.h"
#include "kernel_elf.hpp"
#include "kernel_log.hpp"

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Functions
auto	backtrace (std::array< uint64_t, kMaxFrameCount > &buffer) -> int
auto	DumpStack () -> void
	打印调用栈

Function Documentation

backtrace()

auto backtrace

(

std::array< uint64_t, kMaxFrameCount > &

buffer

)

-> int

Copyright

Copyright The SimpleKernel Contributors

Definition at line 18 of file backtrace.cpp.

                                                                  {
  auto* rbp = reinterpret_cast<uint64_t*>(cpu_io::Rbp::Read());
  size_t count = 0;
  while ((rbp != nullptr) && (*rbp != 0U) && count < buffer.max_size()) {
    auto rip = *(rbp + 1);
    if (rip < reinterpret_cast<uint64_t>(__executable_start) ||
        rip > reinterpret_cast<uint64_t>(__etext)) {
      break;
    }
    rbp = reinterpret_cast<uint64_t*>(*rbp);
    buffer[count++] = rip;
  }
 
  return static_cast<int>(count);
}

DumpStack()

auto DumpStack

(

)

-> void

打印调用栈

Note

调用 backtrace 获取调用栈并解析符号后输出到日志

Definition at line 34 of file backtrace.cpp.

                         {
  std::array<uint64_t, kMaxFrameCount> buffer{};
 
  // 获取调用栈中的地址
  auto num_frames = backtrace(buffer);
 
  for (auto current_frame_idx = 0; current_frame_idx < num_frames;
       current_frame_idx++) {
    // 打印函数名
    for (auto symtab : KernelElfSingleton::instance().symtab) {
      if ((ELF64_ST_TYPE(symtab.st_info) == STT_FUNC) &&
          (buffer[current_frame_idx] >= symtab.st_value) &&
          (buffer[current_frame_idx] <= symtab.st_value + symtab.st_size)) {
        klog::Err("[{}] {:#x}",
                  reinterpret_cast<const char*>(
                      KernelElfSingleton::instance().strtab + symtab.st_name),
                  buffer[current_frame_idx]);
      }
    }
  }
}

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