/*
 * Copyright (c) 2022-2024, NVIDIA CORPORATION.  All rights reserved.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

#include "tensorrt_llm/common/logger.h"

#include <cuda_runtime.h>

#include "tensorrt_llm/common/cudaUtils.h"
#include "tensorrt_llm/common/stringUtils.h"
#include "tensorrt_llm/common/tllmException.h"

namespace tensorrt_llm::common {

Logger::Logger() {
  char* isFirstRankOnlyChar = std::getenv("TLLM_LOG_FIRST_RANK_ONLY");
  bool isFirstRankOnly =
      (isFirstRankOnlyChar != nullptr && std::string(isFirstRankOnlyChar) == "ON");

  auto const* levelName = std::getenv("TLLM_LOG_LEVEL");
  if (levelName != nullptr) {
    auto level = [levelName]() {
      std::string levelNameCap(levelName);
      toUpper(levelNameCap);
      if (levelNameCap == "TRACE") return TRACE;
      if (levelNameCap == "VERBOSE" || levelNameCap == "DEBUG") return DEBUG;
      if (levelNameCap == "INFO") return INFO;
      if (levelNameCap == "WARNING") return WARNING;
      if (levelNameCap == "ERROR") return ERROR;
      TLLM_THROW("Invalid log level: %s", levelName);
    }();
    // If TLLM_LOG_FIRST_RANK_ONLY=ON, set LOG LEVEL of other device to ERROR
    if (isFirstRankOnly) {
      auto const deviceId = getDevice();
      if (deviceId != 1) {
        level = ERROR;
      }
    }
    setLevel(level);
  }
}

void Logger::log(std::exception const& ex, Logger::Level level) {
  log(level, "%s: %s", TllmException::demangle(typeid(ex).name()).c_str(), ex.what());
}

Logger* Logger::getLogger() {
  thread_local Logger instance;
  return &instance;
}
}  // namespace tensorrt_llm::common