// 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.

// This file is copied from

// https://github.com/ClickHouse/ClickHouse/blob/master/src/Functions/IFunction.cpp

// and modified by Doris

#include "vec/functions/function.h"

#include <algorithm>

#include <memory>

#include <numeric>

#include "common/status.h"

#include "runtime/define_primitive_type.h"

#include "runtime/primitive_type.h"

#include "vec/aggregate_functions/aggregate_function.h"

#include "vec/columns/column.h"

#include "vec/columns/column_const.h"

#include "vec/columns/column_nullable.h"

#include "vec/columns/column_vector.h"

#include "vec/common/assert_cast.h"

#include "vec/core/field.h"

#include "vec/data_types/data_type_array.h"

#include "vec/data_types/data_type_nothing.h"

#include "vec/data_types/data_type_nullable.h"

#include "vec/functions/function_helpers.h"

#include "vec/utils/util.hpp"

namespace doris::vectorized {

#include "common/compile_check_begin.h"

ColumnPtr wrap_in_nullable(const ColumnPtr& src, const Block& block, const ColumnNumbers& args,

                           uint32_t result, size_t input_rows_count) {

    ColumnPtr result_null_map_column;

    /// If result is already nullable.

    ColumnPtr src_not_nullable = src;

    MutableColumnPtr mutable_result_null_map_column;

    if (const auto* nullable = check_and_get_column<ColumnNullable>(*src)) {

        src_not_nullable = nullable->get_nested_column_ptr();

        result_null_map_column = nullable->get_null_map_column_ptr();

    }

    for (const auto& arg : args) {

        const ColumnWithTypeAndName& elem = block.get_by_position(arg);

        if (!elem.type->is_nullable() || is_column_const(*elem.column)) {

            continue;

        }

        if (const auto* nullable = assert_cast<const ColumnNullable*>(elem.column.get());

            nullable->has_null()) {

            const ColumnPtr& null_map_column = nullable->get_null_map_column_ptr();

            if (!result_null_map_column) { // NOLINT(bugprone-use-after-move)

                result_null_map_column = null_map_column->clone_resized(input_rows_count);

                continue;

            }

            if (!mutable_result_null_map_column) {

                mutable_result_null_map_column =

                        std::move(result_null_map_column)->assume_mutable();

            }

            NullMap& result_null_map =

                    assert_cast<ColumnUInt8&>(*mutable_result_null_map_column).get_data();

            const NullMap& src_null_map =

                    assert_cast<const ColumnUInt8&>(*null_map_column).get_data();

            VectorizedUtils::update_null_map(result_null_map, src_null_map);

        }

    }

    if (!result_null_map_column) {

        if (is_column_const(*src)) {

            return ColumnConst::create(

                    make_nullable(assert_cast<const ColumnConst&>(*src).get_data_column_ptr(),

                                  false),

                    input_rows_count);

        }

        return ColumnNullable::create(src, ColumnUInt8::create(input_rows_count, 0));

    }

    return ColumnNullable::create(src_not_nullable, result_null_map_column);

}

bool have_null_column(const Block& block, const ColumnNumbers& args) {

    return std::ranges::any_of(args, [&block](const auto& elem) {

        return block.get_by_position(elem).type->is_nullable();

    });

}

bool have_null_column(const ColumnsWithTypeAndName& args) {

    return std::ranges::any_of(args, [](const auto& elem) { return elem.type->is_nullable(); });

}

inline Status PreparedFunctionImpl::_execute_skipped_constant_deal(

        FunctionContext* context, Block& block, const ColumnNumbers& args, uint32_t result,

        size_t input_rows_count, bool dry_run) const {

    bool executed = false;

    RETURN_IF_ERROR(default_implementation_for_nulls(context, block, args, result, input_rows_count,

                                                     dry_run, &executed));

    if (executed) {

        return Status::OK();

    }

    if (dry_run) {

        return execute_impl_dry_run(context, block, args, result, input_rows_count);

    } else {

        return execute_impl(context, block, args, result, input_rows_count);

    }

}

Status PreparedFunctionImpl::default_implementation_for_constant_arguments(

        FunctionContext* context, Block& block, const ColumnNumbers& args, uint32_t result,

        size_t input_rows_count, bool dry_run, bool* executed) const {

    *executed = false;

    ColumnNumbers args_expect_const = get_arguments_that_are_always_constant();

    // Check that these arguments are really constant.

    for (auto arg_num : args_expect_const) {

        if (arg_num < args.size() &&

            !is_column_const(*block.get_by_position(args[arg_num]).column)) {

            return Status::InvalidArgument("Argument at index {} for function {} must be constant",

                                           arg_num, get_name());

        }

    }

    if (args.empty() || !use_default_implementation_for_constants() ||

        !VectorizedUtils::all_arguments_are_constant(block, args)) {

        return Status::OK();

    }

    // now all columns are const.

    Block temporary_block;

    int arguments_size = (int)args.size();

    for (size_t arg_num = 0; arg_num < arguments_size; ++arg_num) {

        const ColumnWithTypeAndName& column = block.get_by_position(args[arg_num]);

        // Columns in const_list --> column_const,    others --> nested_column

        // that's because some functions supposes some specific columns always constant.

        // If we unpack it, there will be unnecessary cost of virtual judge.

        if (args_expect_const.end() !=

            std::find(args_expect_const.begin(), args_expect_const.end(), arg_num)) {

            temporary_block.insert({column.column, column.type, column.name});

        } else {

            temporary_block.insert(

                    {assert_cast<const ColumnConst*>(column.column.get())->get_data_column_ptr(),

                     column.type, column.name});

        }

    }

    temporary_block.insert(block.get_by_position(result));

    ColumnNumbers temporary_argument_numbers(arguments_size);

    for (int i = 0; i < arguments_size; ++i) {

        temporary_argument_numbers[i] = i;

    }

    RETURN_IF_ERROR(_execute_skipped_constant_deal(context, temporary_block,

                                                   temporary_argument_numbers, arguments_size,

                                                   temporary_block.rows(), dry_run));

    ColumnPtr result_column;

    /// extremely rare case, when we have function with completely const arguments

    /// but some of them produced by non is_deterministic function

    if (temporary_block.get_by_position(arguments_size).column->size() > 1) {

        result_column = temporary_block.get_by_position(arguments_size).column->clone_resized(1);

    } else {

        result_column = temporary_block.get_by_position(arguments_size).column;

    }

    // We shuold handle the case where the result column is also a ColumnConst.

    block.get_by_position(result).column = ColumnConst::create(result_column, input_rows_count);

    *executed = true;

    return Status::OK();

}

Status PreparedFunctionImpl::default_implementation_for_nulls(

        FunctionContext* context, Block& block, const ColumnNumbers& args, uint32_t result,

        size_t input_rows_count, bool dry_run, bool* executed) const {

    *executed = false;

    if (args.empty() || !use_default_implementation_for_nulls()) {

        return Status::OK();

    }

    if (std::ranges::any_of(args, [&block](const auto& elem) {

            return block.get_by_position(elem).column->only_null();

        })) {

        block.get_by_position(result).column =

                block.get_by_position(result).type->create_column_const(input_rows_count, Field());

        *executed = true;

        return Status::OK();

    }

    if (have_null_column(block, args)) {

        bool need_to_default = need_replace_null_data_to_default();

        // extract nested column from nulls

        ColumnNumbers new_args;

        for (auto arg : args) {

            new_args.push_back(block.columns());

            block.insert(block.get_by_position(arg).unnest_nullable(need_to_default));

            DCHECK(!block.get_by_position(new_args.back()).column->is_nullable());

        }

        RETURN_IF_ERROR(execute_without_low_cardinality_columns(context, block, new_args, result,

                                                                block.rows(), dry_run));

        // After run with nested, wrap them in null. Before this, block.get_by_position(result).type

        // is not compatible with get_by_position(result).column

        block.get_by_position(result).column = wrap_in_nullable(

                block.get_by_position(result).column, block, args, result, input_rows_count);

        while (!new_args.empty()) {

            block.erase(new_args.back());

            new_args.pop_back();

        }

        *executed = true;

        return Status::OK();

    }

    return Status::OK();

}

Status PreparedFunctionImpl::execute_without_low_cardinality_columns(

        FunctionContext* context, Block& block, const ColumnNumbers& args, uint32_t result,

        size_t input_rows_count, bool dry_run) const {

    bool executed = false;

    RETURN_IF_ERROR(default_implementation_for_constant_arguments(

            context, block, args, result, input_rows_count, dry_run, &executed));

    if (executed) {

        return Status::OK();

    }

    return _execute_skipped_constant_deal(context, block, args, result, input_rows_count, dry_run);

}

Status PreparedFunctionImpl::execute(FunctionContext* context, Block& block,

                                     const ColumnNumbers& args, uint32_t result,

                                     size_t input_rows_count, bool dry_run) const {

    return execute_without_low_cardinality_columns(context, block, args, result, input_rows_count,

                                                   dry_run);

}

void FunctionBuilderImpl::check_number_of_arguments(size_t number_of_arguments) const {

    if (is_variadic()) {

        return;

    }

    size_t expected_number_of_arguments = get_number_of_arguments();

    DCHECK_EQ(number_of_arguments, expected_number_of_arguments) << fmt::format(

            "Number of arguments for function {} doesn't match: passed {} , should be {}",

            get_name(), number_of_arguments, expected_number_of_arguments);

    if (number_of_arguments != expected_number_of_arguments) {

        throw Exception(

                ErrorCode::INVALID_ARGUMENT,

                "Number of arguments for function {} doesn't match: passed {} , should be {}",

                get_name(), number_of_arguments, expected_number_of_arguments);

    }

}

DataTypePtr FunctionBuilderImpl::get_return_type(const ColumnsWithTypeAndName& arguments) const {

    check_number_of_arguments(arguments.size());

    if (!arguments.empty() && use_default_implementation_for_nulls()) {

        if (have_null_column(arguments)) {

            ColumnNumbers numbers(arguments.size());

            std::iota(numbers.begin(), numbers.end(), 0);

            auto [nested_block, _] =

                    create_block_with_nested_columns(Block(arguments), numbers, false);

            auto return_type = get_return_type_impl(

                    ColumnsWithTypeAndName(nested_block.begin(), nested_block.end()));

            return make_nullable(return_type);

        }

    }

    return get_return_type_impl(arguments);

}

bool FunctionBuilderImpl::is_date_or_datetime_or_decimal(

        const DataTypePtr& return_type, const DataTypePtr& func_return_type) const {

    return (is_date_or_datetime(return_type->get_primitive_type()) &&

            is_date_or_datetime(func_return_type->get_primitive_type())) ||

           (is_date_v2_or_datetime_v2(return_type->get_primitive_type()) &&

            is_date_v2_or_datetime_v2(func_return_type->get_primitive_type())) ||

           // For some date functions such as str_to_date(string, string), return_type will

           // be datetimev2 if users enable datev2 but get_return_type(arguments) will still

           // return datetime. We need keep backward compatibility here.

           (is_date_v2_or_datetime_v2(return_type->get_primitive_type()) &&

            is_date_or_datetime(func_return_type->get_primitive_type())) ||

           (is_date_or_datetime(return_type->get_primitive_type()) &&

            is_date_v2_or_datetime_v2(func_return_type->get_primitive_type())) ||

           (is_decimal(return_type->get_primitive_type()) &&

            is_decimal(func_return_type->get_primitive_type())) ||

           (is_time_type(return_type->get_primitive_type()) &&

            is_time_type(func_return_type->get_primitive_type()));

}

bool contains_date_or_datetime_or_decimal(const DataTypePtr& type) {

    auto type_ptr = type->is_nullable() ? ((DataTypeNullable*)type.get())->get_nested_type() : type;

    switch (type_ptr->get_primitive_type()) {

    case TYPE_ARRAY: {

        const auto* array_type = assert_cast<const DataTypeArray*>(type_ptr.get());

        return contains_date_or_datetime_or_decimal(array_type->get_nested_type());

    }

    case TYPE_MAP: {

        const auto* map_type = assert_cast<const DataTypeMap*>(type_ptr.get());

        return contains_date_or_datetime_or_decimal(map_type->get_key_type()) ||

               contains_date_or_datetime_or_decimal(map_type->get_value_type());

    }

    case TYPE_STRUCT: {

        const auto* struct_type = assert_cast<const DataTypeStruct*>(type_ptr.get());

        const auto& elements = struct_type->get_elements();

        return std::ranges::any_of(elements, [](const DataTypePtr& element) {

            return contains_date_or_datetime_or_decimal(element);

        });

    }

    default:

        // For scalar types, check if it's date/datetime/decimal

        return is_date_or_datetime(type_ptr->get_primitive_type()) ||

               is_date_v2_or_datetime_v2(type_ptr->get_primitive_type()) ||

               is_decimal(type_ptr->get_primitive_type()) ||

               is_time_type(type_ptr->get_primitive_type());

    }

}

// make sure array/map/struct and nested  array/map/struct can be check

bool FunctionBuilderImpl::is_nested_type_date_or_datetime_or_decimal(

        const DataTypePtr& return_type, const DataTypePtr& func_return_type) const {

    auto return_type_ptr = return_type->is_nullable()

                                   ? ((DataTypeNullable*)return_type.get())->get_nested_type()

                                   : return_type;

    auto func_return_type_ptr =

            func_return_type->is_nullable()

                    ? ((DataTypeNullable*)func_return_type.get())->get_nested_type()

                    : func_return_type;

    // make sure that map/struct/array also need to check

    if (return_type_ptr->get_primitive_type() != func_return_type_ptr->get_primitive_type()) {

        return false;

    }

    // Check if this type contains date/datetime/decimal types

    if (!contains_date_or_datetime_or_decimal(return_type_ptr)) {

        // If no date/datetime/decimal types, just pass through

        return true;

    }

    // If contains date/datetime/decimal types, recursively check each element

    switch (return_type_ptr->get_primitive_type()) {

    case TYPE_ARRAY: {

        auto nested_return_type = remove_nullable(

                (assert_cast<const DataTypeArray*>(return_type_ptr.get()))->get_nested_type());

        auto nested_func_type = remove_nullable(

                (assert_cast<const DataTypeArray*>(func_return_type_ptr.get()))->get_nested_type());

        return is_nested_type_date_or_datetime_or_decimal(nested_return_type, nested_func_type);

    }

    case TYPE_MAP: {

        const auto* return_map = assert_cast<const DataTypeMap*>(return_type_ptr.get());

        const auto* func_map = assert_cast<const DataTypeMap*>(func_return_type_ptr.get());

        auto key_return = remove_nullable(return_map->get_key_type());

        auto key_func = remove_nullable(func_map->get_key_type());

        auto value_return = remove_nullable(return_map->get_value_type());

        auto value_func = remove_nullable(func_map->get_value_type());

        return is_nested_type_date_or_datetime_or_decimal(key_return, key_func) &&

               is_nested_type_date_or_datetime_or_decimal(value_return, value_func);

    }

    case TYPE_STRUCT: {

        const auto* return_struct = assert_cast<const DataTypeStruct*>(return_type_ptr.get());

        const auto* func_struct = assert_cast<const DataTypeStruct*>(func_return_type_ptr.get());

        auto return_elements = return_struct->get_elements();

        auto func_elements = func_struct->get_elements();

        if (return_elements.size() != func_elements.size()) {

            return false;

        }

        for (size_t i = 0; i < return_elements.size(); i++) {

            auto elem_return = remove_nullable(return_elements[i]);

            auto elem_func = remove_nullable(func_elements[i]);

            if (!is_nested_type_date_or_datetime_or_decimal(elem_return, elem_func)) {

                return false;

            }

        }

        return true;

    }

    default:

        return is_date_or_datetime_or_decimal(return_type_ptr, func_return_type_ptr);

    }

}

#include "common/compile_check_end.h"

} // namespace doris::vectorized