// 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.

#include "core/column/column_array.h"

#include "core/data_type/data_type_array.h"

#include "exprs/function/cast/cast_base.h"

namespace doris::CastWrapper {

inline bool has_null_literal_leaf(const DataTypePtr& type) {

    const auto type_without_nullable = remove_nullable(type);

    if (const auto* array_type =

                check_and_get_data_type<DataTypeArray>(type_without_nullable.get())) {

        return has_null_literal_leaf(array_type->get_nested_type());

    }

    return type_without_nullable->is_null_literal();

}

WrapperType create_array_wrapper(FunctionContext* context, const DataTypePtr& from_type_untyped,

                                 const DataTypeArray& to_type) {

    /// Conversion from String through parsing.

    if (check_and_get_data_type<DataTypeString>(from_type_untyped.get())) {

        if (context->enable_strict_mode()) {

            return cast_from_string_to_complex_type_strict_mode;

        } else {

            return cast_from_string_to_complex_type;

        }

    }

    const auto* from_type = check_and_get_data_type<DataTypeArray>(from_type_untyped.get());

    if (!from_type) {

        return CastWrapper::create_unsupport_wrapper(

                "CAST AS Array can only be performed between same-dimensional Array, String "

                "types");

    }

    DataTypePtr from_nested_type = from_type->get_nested_type();

    if (from_type->get_number_of_dimensions() != to_type.get_number_of_dimensions() &&

        !has_null_literal_leaf(from_nested_type)) {

        return CastWrapper::create_unsupport_wrapper(

                "CAST AS Array can only be performed between same-dimensional array types");

    }

    DataTypePtr to_nested_type = to_type.get_nested_type();

    /// Prepare nested type conversion

    const auto nested_function =

            prepare_unpack_dictionaries(context, from_nested_type, to_nested_type);

    return [nested_function, from_nested_type, to_nested_type](

                   FunctionContext* context, Block& block, const ColumnNumbers& arguments,

                   uint32_t result, size_t /*input_rows_count*/,

                   const NullMap::value_type* null_map = nullptr) -> Status {

        ColumnPtr from_column = block.get_by_position(arguments.front()).column;

        const auto* from_col_array = check_and_get_column<ColumnArray>(from_column.get());

        if (from_col_array) {

            /// create columns for converting nested column containing original and result columns

            ColumnWithTypeAndName from_nested_column {from_col_array->get_data_ptr(),

                                                      from_nested_type, ""};

            /// convert nested column

            ColumnNumbers new_arguments {block.columns()};

            block.insert(from_nested_column);

            uint32_t nested_result = block.columns();

            block.insert({to_nested_type, ""});

            RETURN_IF_ERROR(nested_function(context, block, new_arguments, nested_result,

                                            from_col_array->get_data_ptr()->size(), null_map));

            auto nested_result_column = block.get_by_position(nested_result).column;

            /// set converted nested column to result

            block.get_by_position(result).column =

                    ColumnArray::create(nested_result_column, from_col_array->get_offsets_ptr());

        } else {

            return Status::RuntimeError("Illegal column {} for function CAST AS Array",

                                        from_column->get_name());

        }

        return Status::OK();

    };

}

} // namespace doris::CastWrapper