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/* Copyright 2017 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.
==============================================================================*/
#include "tensorflow/contrib/tensorboard/db/summary_db_writer.h"

#include "tensorflow/core/lib/core/status_test_util.h"
#include "tensorflow/core/lib/db/sqlite.h"
#include "tensorflow/core/platform/env.h"
#include "tensorflow/core/platform/test.h"

namespace tensorflow {
namespace {

Tensor MakeScalarInt64(int64 x) {
  Tensor t(DT_INT64, TensorShape({}));
  t.scalar<int64>()() = x;
  return t;
}

class FakeClockEnv : public EnvWrapper {
 public:
  FakeClockEnv() : EnvWrapper(Env::Default()), current_millis_(0) {}
  void AdvanceByMillis(const uint64 millis) { current_millis_ += millis; }
  uint64 NowMicros() override { return current_millis_ * 1000; }
  uint64 NowSeconds() override { return current_millis_ * 1000; }

 private:
  uint64 current_millis_;
};

class SummaryDbWriterTest : public ::testing::Test {
 protected:
  void SetUp() override { db_ = Sqlite::Open("file::memory:").ValueOrDie(); }

  void TearDown() override {
    if (writer_ != nullptr) {
      writer_->Unref();
      writer_ = nullptr;
    }
  }

  int64 QueryInt(const string& sql) {
    SqliteStatement stmt = db_->Prepare(sql);
    bool is_done;
    Status s = stmt.Step(&is_done);
    if (!s.ok() || is_done) {
      LOG(ERROR) << s << " due to " << sql;
      return -1;
    }
    return stmt.ColumnInt(0);
  }

  double QueryDouble(const string& sql) {
    SqliteStatement stmt = db_->Prepare(sql);
    bool is_done;
    Status s = stmt.Step(&is_done);
    if (!s.ok() || is_done) {
      LOG(ERROR) << s << " due to " << sql;
      return -1;
    }
    return stmt.ColumnDouble(0);
  }

  string QueryString(const string& sql) {
    SqliteStatement stmt = db_->Prepare(sql);
    bool is_done;
    Status s = stmt.Step(&is_done);
    if (!s.ok() || is_done) {
      LOG(ERROR) << s << " due to " << sql;
      return "MISSINGNO";
    }
    return stmt.ColumnString(0);
  }

  FakeClockEnv env_;
  std::shared_ptr<Sqlite> db_;
  SummaryWriterInterface* writer_ = nullptr;
};

TEST_F(SummaryDbWriterTest, NothingWritten_NoRowsCreated) {
  TF_ASSERT_OK(CreateSummaryDbWriter(db_, "mad-science", "train", "jart", &env_,
                                     &writer_));
  TF_ASSERT_OK(writer_->Flush());
  writer_->Unref();
  writer_ = nullptr;
  EXPECT_EQ(0LL, QueryInt("SELECT COUNT(*) FROM Users"));
  EXPECT_EQ(0LL, QueryInt("SELECT COUNT(*) FROM Experiments"));
  EXPECT_EQ(0LL, QueryInt("SELECT COUNT(*) FROM Runs"));
  EXPECT_EQ(0LL, QueryInt("SELECT COUNT(*) FROM Tags"));
  EXPECT_EQ(0LL, QueryInt("SELECT COUNT(*) FROM Tensors"));
}

TEST_F(SummaryDbWriterTest, TensorsWritten_RowsGetInitialized) {
  TF_ASSERT_OK(CreateSummaryDbWriter(db_, "mad-science", "train", "jart", &env_,
                                     &writer_));
  env_.AdvanceByMillis(23);
  TF_ASSERT_OK(writer_->WriteTensor(1, MakeScalarInt64(123LL), "taggy",
                                    "this-is-metaaa"));
  env_.AdvanceByMillis(23);
  TF_ASSERT_OK(writer_->WriteTensor(2, MakeScalarInt64(314LL), "taggy", ""));
  TF_ASSERT_OK(writer_->Flush());

  ASSERT_EQ(1LL, QueryInt("SELECT COUNT(*) FROM Users"));
  ASSERT_EQ(1LL, QueryInt("SELECT COUNT(*) FROM Experiments"));
  ASSERT_EQ(1LL, QueryInt("SELECT COUNT(*) FROM Runs"));
  ASSERT_EQ(1LL, QueryInt("SELECT COUNT(*) FROM Tags"));
  ASSERT_EQ(2LL, QueryInt("SELECT COUNT(*) FROM Tensors"));

  int64 user_id = QueryInt("SELECT user_id FROM Users");
  int64 experiment_id = QueryInt("SELECT experiment_id FROM Experiments");
  int64 run_id = QueryInt("SELECT run_id FROM Runs");
  int64 tag_id = QueryInt("SELECT tag_id FROM Tags");
  EXPECT_LT(0LL, user_id);
  EXPECT_LT(0LL, experiment_id);
  EXPECT_LT(0LL, run_id);
  EXPECT_LT(0LL, tag_id);

  EXPECT_EQ("jart", QueryString("SELECT user_name FROM Users"));
  EXPECT_EQ(0.023, QueryDouble("SELECT inserted_time FROM Users"));

  EXPECT_EQ(user_id, QueryInt("SELECT user_id FROM Experiments"));
  EXPECT_EQ("mad-science",
            QueryString("SELECT experiment_name FROM Experiments"));
  EXPECT_EQ(0.023, QueryDouble("SELECT inserted_time FROM Experiments"));

  EXPECT_EQ(experiment_id, QueryInt("SELECT experiment_id FROM Runs"));
  EXPECT_EQ("train", QueryString("SELECT run_name FROM Runs"));
  EXPECT_EQ(0.023, QueryDouble("SELECT inserted_time FROM Runs"));

  EXPECT_EQ(run_id, QueryInt("SELECT run_id FROM Tags"));
  EXPECT_EQ("taggy", QueryString("SELECT tag_name FROM Tags"));
  EXPECT_EQ(0.023, QueryDouble("SELECT inserted_time FROM Tags"));
  EXPECT_EQ("this-is-metaaa", QueryString("SELECT metadata FROM Tags"));

  EXPECT_EQ(tag_id, QueryInt("SELECT tag_id FROM Tensors WHERE step = 1"));
  EXPECT_EQ(0.023,
            QueryDouble("SELECT computed_time FROM Tensors WHERE step = 1"));
  EXPECT_EQ("this-is-metaaa", QueryString("SELECT metadata FROM Tags"));
  EXPECT_FALSE(
      QueryString("SELECT tensor FROM Tensors WHERE step = 1").empty());

  EXPECT_EQ(tag_id, QueryInt("SELECT tag_id FROM Tensors WHERE step = 2"));
  EXPECT_EQ(0.046,
            QueryDouble("SELECT computed_time FROM Tensors WHERE step = 2"));
  EXPECT_EQ("this-is-metaaa", QueryString("SELECT metadata FROM Tags"));
  EXPECT_FALSE(
      QueryString("SELECT tensor FROM Tensors WHERE step = 2").empty());
}

}  // namespace
}  // namespace tensorflow