// Copyright (c) 2018 PaddlePaddle 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.

/*
 * This file defines the class Argument, which is the input and output of the
 * analysis module. All the fields that needed either by Passes or PassManagers
 * are contained in Argument.
 *
 * TODO(Superjomn) Find some way better to contain the fields when it grow too
 * big.
 */

#pragma once

#include <string>
#include "paddle/fluid/framework/program_desc.h"
#include "paddle/fluid/inference/analysis/data_flow_graph.h"
#include "paddle/fluid/platform/variant.h"

namespace paddle {
namespace inference {
namespace analysis {

/*
 * The argument definition of both Pass and PassManagers.
 *
 * All the fields should be registered here for clearness.
 */
struct Argument {
  Argument() = default;
  explicit Argument(const std::string& fluid_model_dir)
      : fluid_model_dir(new std::string(fluid_model_dir)) {}
  // The directory of the trained model.
  std::unique_ptr<std::string> fluid_model_dir;
  // The path of `__model__` and `param`, this is used when the file name of
  // model and param is changed.
  std::unique_ptr<std::string> fluid_model_program_path;
  std::unique_ptr<std::string> fluid_model_param_path;

  // The graph that process by the Passes or PassManagers.
  std::unique_ptr<DataFlowGraph> main_dfg;

  // The original program desc.
  std::unique_ptr<framework::proto::ProgramDesc> origin_program_desc;

  // The processed program desc.
  std::unique_ptr<framework::proto::ProgramDesc> transformed_program_desc;

  // The output storage path of ModelStorePass.
  std::unique_ptr<std::string> model_output_store_path;

  // Support for any other attributes.
  template <typename T>
  void Set(const std::string& key, T* data) {
    PADDLE_ENFORCE_NOT_NULL(data);
    PADDLE_ENFORCE(!attrs_.count(key), "duplicate attr called %s", key);
    attrs_[key] = data;
    attr_deleters_[key] = [data, key, this]() {
      VLOG(3) << "xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx";
      VLOG(3) << "argument delete attr: " << key;
      delete data;
    };
  }

  bool Has(const std::string& name) const { return attrs_.count(name); }

  template <typename T>
  T* Release(const std::string& key) {
    PADDLE_ENFORCE(attrs_.count(key));
    auto* res = boost::any_cast<T*>(attrs_.at(key));
    attrs_.erase(key);
    attr_deleters_.erase(key);
    return res;
  }

  template <typename T>
  T& Get(const std::string& key) {
    PADDLE_ENFORCE(Has(key));
    return *boost::any_cast<T*>(attrs_.at(key));
  }

  ~Argument() {
    for (auto& item : attr_deleters_) {
      item.second();
    }
  }

 private:
  std::unordered_map<std::string, boost::any> attrs_;
  std::unordered_map<std::string, std::function<void()>> attr_deleters_;
};

#define UNLIKELY(condition) __builtin_expect(static_cast<bool>(condition), 0)
#define ANALYSIS_ARGUMENT_CHECK_FIELD(field__)               \
  if (UNLIKELY(!(field__))) {                                \
    LOG(ERROR) << "field " << #field__ << " should be set."; \
    return false;                                            \
  }

}  // namespace analysis
}  // namespace inference
}  // namespace paddle