// Licensed to the Apache Software Foundation (ASF) under one
// or more contributor license agreements.  See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership.  The ASF licenses this file
// to you 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.

#pragma once

// IWYU pragma: begin_exports

#include <gmock/gmock.h>

#include <memory>
#include <string>
#include <vector>

#include "arrow/array.h"
#include "arrow/compute/api_scalar.h"
#include "arrow/compute/cast.h"
#include "arrow/compute/kernel.h"
#include "arrow/datum.h"
#include "arrow/memory_pool.h"
#include "arrow/pretty_print.h"
#include "arrow/testing/builder.h"
#include "arrow/testing/gtest_util.h"
#include "arrow/testing/random.h"
#include "arrow/testing/util.h"
#include "arrow/type.h"
#include "arrow/util/checked_cast.h"

// IWYU pragma: end_exports

namespace arrow {

using internal::checked_cast;

namespace compute {

using DatumVector = std::vector<Datum>;

template <typename Type, typename T>
std::shared_ptr<Array> _MakeArray(const std::shared_ptr<DataType>& type,
                                  const std::vector<T>& values,
                                  const std::vector<bool>& is_valid) {
  std::shared_ptr<Array> result;
  if (is_valid.size() > 0) {
    ArrayFromVector<Type, T>(type, is_valid, values, &result);
  } else {
    ArrayFromVector<Type, T>(type, values, &result);
  }
  return result;
}

inline std::string CompareOperatorToFunctionName(CompareOperator op) {
  static std::string function_names[] = {
      "equal", "not_equal", "greater", "greater_equal", "less", "less_equal",
  };
  return function_names[op];
}

// Construct an array of decimals, where negative scale is allowed.
//
// Works around DecimalXXX::FromString intentionally not inferring
// negative scales.
inline std::shared_ptr<Array> DecimalArrayFromJSON(const std::shared_ptr<DataType>& type,
                                                   const std::string& json) {
  const auto& ty = checked_cast<const DecimalType&>(*type);
  if (ty.scale() >= 0) return ArrayFromJSON(type, json);
  auto p = ty.precision() - ty.scale();
  auto adjusted_ty = ty.id() == Type::DECIMAL128 ? decimal128(p, 0) : decimal256(p, 0);
  return Cast(ArrayFromJSON(adjusted_ty, json), type).ValueOrDie().make_array();
}

inline std::shared_ptr<Scalar> DecimalScalarFromJSON(
    const std::shared_ptr<DataType>& type, const std::string& json) {
  const auto& ty = checked_cast<const DecimalType&>(*type);
  if (ty.scale() >= 0) return ScalarFromJSON(type, json);
  auto p = ty.precision() - ty.scale();
  auto adjusted_ty = ty.id() == Type::DECIMAL128 ? decimal128(p, 0) : decimal256(p, 0);
  return Cast(ScalarFromJSON(adjusted_ty, json), type).ValueOrDie().scalar();
}

// Call the function with the given arguments, as well as slices of
// the arguments and scalars extracted from the arguments.
void CheckScalar(std::string func_name, const ScalarVector& inputs,
                 std::shared_ptr<Scalar> expected,
                 const FunctionOptions* options = nullptr);

void CheckScalar(std::string func_name, const DatumVector& inputs, Datum expected,
                 const FunctionOptions* options = nullptr);

// Like CheckScalar, but gets the expected result by
// dictionary-decoding arguments and calling the function again.
//
// result_is_encoded controls whether the result is expected to be a
// dictionary or not.
void CheckDictionary(const std::string& func_name, const DatumVector& args,
                     bool result_is_encoded = true);

// Just call the function with the given arguments.
void CheckScalarNonRecursive(const std::string& func_name, const DatumVector& inputs,
                             const Datum& expected,
                             const FunctionOptions* options = nullptr);

void CheckScalarUnary(std::string func_name, std::shared_ptr<DataType> in_ty,
                      std::string json_input, std::shared_ptr<DataType> out_ty,
                      std::string json_expected,
                      const FunctionOptions* options = nullptr);

void CheckScalarUnary(std::string func_name, Datum input, Datum expected,
                      const FunctionOptions* options = nullptr);

void CheckScalarBinary(std::string func_name, Datum left_input, Datum right_input,
                       Datum expected, const FunctionOptions* options = nullptr);

void CheckScalarBinaryCommutative(std::string func_name, Datum left_input,
                                  Datum right_input, Datum expected,
                                  const FunctionOptions* options = nullptr);

void CheckVectorUnary(std::string func_name, Datum input, Datum expected,
                      const FunctionOptions* options = nullptr);

void ValidateOutput(const Datum& output);

static constexpr random::SeedType kRandomSeed = 0x0ff1ce;

template <template <typename> class DoTestFunctor>
void TestRandomPrimitiveCTypes() {
  DoTestFunctor<Int8Type>::Test(int8());
  DoTestFunctor<Int16Type>::Test(int16());
  DoTestFunctor<Int32Type>::Test(int32());
  DoTestFunctor<Int64Type>::Test(int64());
  DoTestFunctor<UInt8Type>::Test(uint8());
  DoTestFunctor<UInt16Type>::Test(uint16());
  DoTestFunctor<UInt32Type>::Test(uint32());
  DoTestFunctor<UInt64Type>::Test(uint64());
  DoTestFunctor<FloatType>::Test(float32());
  DoTestFunctor<DoubleType>::Test(float64());
  DoTestFunctor<Date32Type>::Test(date32());
  DoTestFunctor<Date64Type>::Test(date64());
  DoTestFunctor<Time32Type>::Test(time32(TimeUnit::SECOND));
  DoTestFunctor<Time64Type>::Test(time64(TimeUnit::MICRO));
  DoTestFunctor<TimestampType>::Test(timestamp(TimeUnit::SECOND));
  DoTestFunctor<TimestampType>::Test(timestamp(TimeUnit::MICRO));
  DoTestFunctor<DurationType>::Test(duration(TimeUnit::MILLI));
}

// Check that DispatchBest on a given function yields the same Kernel as
// produced by DispatchExact on another set of types
void CheckDispatchBest(std::string func_name, std::vector<TypeHolder> types,
                       std::vector<TypeHolder> exact_types);

// Check that function fails to produce a Kernel for the set of types
void CheckDispatchFails(std::string func_name, std::vector<TypeHolder> types);

// Helper to get a default instance of a type, including parameterized types
template <typename T>
enable_if_parameter_free<T, std::shared_ptr<DataType>> default_type_instance() {
  return TypeTraits<T>::type_singleton();
}
template <typename T>
enable_if_time<T, std::shared_ptr<DataType>> default_type_instance() {
  // Time32 requires second/milli, Time64 requires nano/micro
  if (bit_width(T::type_id) == 32) {
    return std::make_shared<T>(TimeUnit::type::SECOND);
  }
  return std::make_shared<T>(TimeUnit::type::NANO);
}
template <typename T>
enable_if_timestamp<T, std::shared_ptr<DataType>> default_type_instance() {
  return std::make_shared<T>(TimeUnit::type::SECOND);
}
template <typename T>
enable_if_decimal<T, std::shared_ptr<DataType>> default_type_instance() {
  return std::make_shared<T>(5, 2);
}

// Random Generator Helpers
class RandomImpl {
 protected:
  random::RandomArrayGenerator generator_;
  std::shared_ptr<DataType> type_;

  explicit RandomImpl(random::SeedType seed, std::shared_ptr<DataType> type)
      : generator_(seed), type_(std::move(type)) {}

 public:
  std::shared_ptr<Array> Generate(uint64_t count, double null_prob) {
    return generator_.ArrayOf(type_, count, null_prob);
  }

  std::shared_ptr<Int32Array> Offsets(int32_t length, int32_t slice_count) {
    return arrow::internal::checked_pointer_cast<Int32Array>(
        generator_.Offsets(slice_count, 0, length));
  }
};

template <typename ArrowType>
class Random : public RandomImpl {
 public:
  explicit Random(random::SeedType seed)
      : RandomImpl(seed, TypeTraits<ArrowType>::type_singleton()) {}
};

template <>
class Random<FloatType> : public RandomImpl {
  using CType = float;

 public:
  explicit Random(random::SeedType seed) : RandomImpl(seed, float32()) {}

  std::shared_ptr<Array> Generate(uint64_t count, double null_prob, double nan_prob = 0) {
    return generator_.Float32(count, std::numeric_limits<CType>::min(),
                              std::numeric_limits<CType>::max(), null_prob, nan_prob);
  }
};

template <>
class Random<DoubleType> : public RandomImpl {
  using CType = double;

 public:
  explicit Random(random::SeedType seed) : RandomImpl(seed, float64()) {}

  std::shared_ptr<Array> Generate(uint64_t count, double null_prob, double nan_prob = 0) {
    return generator_.Float64(count, std::numeric_limits<CType>::min(),
                              std::numeric_limits<CType>::max(), null_prob, nan_prob);
  }
};

template <>
class Random<Decimal128Type> : public RandomImpl {
 public:
  explicit Random(random::SeedType seed,
                  std::shared_ptr<DataType> type = decimal128(18, 5))
      : RandomImpl(seed, std::move(type)) {}
};

template <typename ArrowType>
class RandomRange : public RandomImpl {
  using CType = typename TypeTraits<ArrowType>::CType;

 public:
  explicit RandomRange(random::SeedType seed)
      : RandomImpl(seed, TypeTraits<ArrowType>::type_singleton()) {}

  std::shared_ptr<Array> Generate(uint64_t count, int range, double null_prob) {
    CType min = std::numeric_limits<CType>::min();
    CType max = min + range;
    if (sizeof(CType) < 4 && (range + min) > std::numeric_limits<CType>::max()) {
      max = std::numeric_limits<CType>::max();
    }
    return generator_.Numeric<ArrowType>(count, min, max, null_prob);
  }
};

}  // namespace compute
}  // namespace arrow
