/* Copyright (c) 2016 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. */

#include <unistd.h>
#include <string>
#include <thread>  // NOLINT

#include "gtest/gtest.h"
#include "paddle/fluid/operators/detail/grpc_client.h"
#include "paddle/fluid/operators/detail/grpc_server.h"

#include "paddle/fluid/framework/block_desc.h"
#include "paddle/fluid/framework/op_registry.h"
#include "paddle/fluid/framework/operator.h"

namespace framework = paddle::framework;
namespace platform = paddle::platform;
namespace detail = paddle::operators::detail;

USE_OP(lookup_table);

std::unique_ptr<detail::AsyncGRPCServer> rpc_service_;

framework::BlockDesc* AppendPrefetchBlcok(framework::ProgramDesc* program) {
  auto root_block = program->MutableBlock(0);
  auto* block = program->AppendBlock(*root_block);

  framework::VariableNameMap input({{"W", {"w"}}, {"Ids", {"ids"}}});
  framework::VariableNameMap output({{"Output", {"out"}}});
  auto op = block->AppendOp();
  op->SetType("lookup_table");
  op->SetInput("W", {"w"});
  op->SetInput("Ids", {"ids"});
  op->SetOutput("Out", {"out"});

  auto& out = *root_block->Var("out");
  out.SetType(framework::proto::VarType::SELECTED_ROWS);
  out.SetShape({10, 10});

  return block;
}

void CreateVarsOnScope(framework::Scope* scope, platform::CPUPlace* place) {
  auto w_var = scope->Var("w");
  w_var->GetMutable<framework::SelectedRows>();

  auto out_var = scope->Var("out");
  out_var->GetMutable<framework::SelectedRows>();

  auto ids_var = scope->Var("ids");
  ids_var->GetMutable<framework::SelectedRows>();
}

void InitTensorsOnClient(framework::Scope* scope, platform::CPUPlace* place,
                         int64_t rows_numel) {
  CreateVarsOnScope(scope, place);
  auto ids_var = scope->Var("ids")->GetMutable<framework::SelectedRows>();
  auto rows = ids_var->mutable_rows();
  for (int64_t i = 0; i < rows_numel; ++i) rows->push_back(i * 2);
  ids_var->mutable_value()->Resize({rows_numel, 1});
  ids_var->mutable_value()->mutable_data<float>(*place);
}

void InitTensorsOnServer(framework::Scope* scope, platform::CPUPlace* place,
                         int64_t rows_numel) {
  CreateVarsOnScope(scope, place);
  auto w = scope->Var("w")->GetMutable<framework::SelectedRows>();
  auto rows = w->mutable_rows();
  for (int64_t i = 0; i < rows_numel; ++i) rows->push_back(i);
  auto w_value = w->mutable_value();
  w_value->Resize({rows_numel, 10});

  auto ptr = w_value->mutable_data<float>(*place);

  for (int64_t i = 0; i < w_value->numel(); ++i) {
    ptr[i] = static_cast<float>(i / 10);
  }
}

void StartServer(const std::string& endpoint) {
  rpc_service_.reset(new detail::AsyncGRPCServer(endpoint, true));
  framework::ProgramDesc program;
  framework::Scope scope;
  platform::CPUPlace place;
  framework::Executor exe(place);
  platform::CPUDeviceContext ctx(place);
  auto* block = AppendPrefetchBlcok(&program);
  auto prepared = exe.Prepare(program, block->ID());
  InitTensorsOnServer(&scope, &place, 10);

  rpc_service_->SetProgram(&program);
  rpc_service_->SetPrefetchPreparedCtx(std::move(prepared));
  rpc_service_->SetDevCtx(&ctx);
  rpc_service_->SetScope(&scope);
  rpc_service_->SetExecutor(&exe);

  rpc_service_->RunSyncUpdate();
}

// NOTE(yuyang18) : This test is buggy.
// 1. We should not use port 8889 before check.
// 2. We should not use sleep(2) to sync threads.
TEST(PREFETCH, DISABLE_CPU) {
  // start up a server instance backend
  std::thread server_thread(StartServer, "127.0.0.1:8889");
  sleep(2);
  framework::Scope scope;
  platform::CPUPlace place;
  platform::CPUDeviceContext ctx(place);
  // create var on local scope
  int64_t rows_numel = 5;
  InitTensorsOnClient(&scope, &place, rows_numel);
  std::string in_var_name("ids");
  std::string out_var_name("out");

  detail::RPCClient client;
  client.AsyncPrefetchVariable("127.0.0.1:8889", ctx, scope, in_var_name,
                               out_var_name);
  client.Wait();

  auto var = scope.Var(out_var_name);
  auto value = var->GetMutable<framework::SelectedRows>()->value();
  auto ptr = value.mutable_data<float>(place);

  rpc_service_->ShutDown();
  server_thread.join();
  rpc_service_.reset(nullptr);

  for (int64_t i = 0; i < rows_numel; ++i) {
    EXPECT_EQ(ptr[0 + i * value.dims()[1]], static_cast<float>(i * 2));
  }
}