/* Copyright 2023 The TensorFlow Authors. 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.
==============================================================================*/

#ifndef XLA_TSL_LIB_IO_BUFFERED_FILE_H_
#define XLA_TSL_LIB_IO_BUFFERED_FILE_H_

#include <algorithm>
#include <memory>
#include <string>
#include <utility>

#include "xla/tsl/lib/hash/crc32c.h"
#include "xla/tsl/platform/file_system.h"
#include "xla/tsl/platform/status.h"
#include "tsl/platform/cord.h"

namespace tsl {
class BufferedWritableFile : public WritableFile {
 public:
  explicit BufferedWritableFile(std::unique_ptr<WritableFile> file,
                                int64_t buffer_size = kDefaultBufferSize)
      : file_(std::move(file)) {
    buffer_.resize(buffer_size);
  }
  ~BufferedWritableFile() override { Close().IgnoreError(); }

  absl::Status Append(absl::string_view str_data) override {
    int64_t bytes_left = str_data.size();
    const char* data = str_data.data();

    while (bytes_left > 0) {
      int64_t append_bytes = std::min(
          static_cast<int64_t>(buffer_.size() - buffer_pos_), bytes_left);

      // Create a copy of the current segment and compute the checksum. We
      // compute the checksum on the copied section in case the underlying
      // `data` buffer changes while we are writing.
      std::copy_n(data, append_bytes, buffer_.begin() + buffer_pos_);
      crc32_ = crc32c::Extend(crc32_, &buffer_[buffer_pos_], append_bytes);
      buffer_pos_ += append_bytes;
      if (buffer_pos_ == buffer_.size()) {
        TF_RETURN_IF_ERROR(file_->Append(buffer_));
        buffer_pos_ = 0;
      }
      data = data + append_bytes;
      bytes_left -= append_bytes;
    }

    return absl::OkStatus();
  }

  absl::Status Append(const absl::Cord& data) override {
    for (absl::string_view fragment : data.Chunks()) {
      TF_RETURN_IF_ERROR(Append(fragment));
    }
    return absl::OkStatus();
  }

  absl::Status Close() override {
    TF_RETURN_IF_ERROR(Flush());
    return file_->Close();
  }

  absl::Status Flush() override {
    if (buffer_pos_ > 0) {
      TF_RETURN_IF_ERROR(
          file_->Append(absl::string_view(&buffer_[0], buffer_pos_)));
      buffer_pos_ = 0;
    }
    return file_->Flush();
  }

  absl::Status Tell(int64_t* position) override {
    int64_t bytes_written;
    absl::Status status = file_->Tell(&bytes_written);
    if (status.ok()) {
      *position = bytes_written + buffer_pos_;
      return absl::OkStatus();
    } else {
      return status;
    }
  }

  absl::Status Sync() override { return file_->Sync(); }

  // For compatibilty with the TensorBundle writer, we expose CRC32 checksums.
  uint32_t crc32() const { return crc32_; }
  void reset_crc32() { crc32_ = 0; }

 private:
  static constexpr int64_t kDefaultBufferSize = 1048576;

  std::string buffer_;
  int64_t buffer_pos_ = 0;

  std::unique_ptr<WritableFile> file_;
  uint32_t crc32_ = 0;

  BufferedWritableFile(const BufferedWritableFile&) = delete;
  void operator=(const BufferedWritableFile&) = delete;
};

}  // namespace tsl
#endif  // XLA_TSL_LIB_IO_BUFFERED_FILE_H_