// 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/FunctionsMultiStringPosition.h

// and modified by Doris

#include <stddef.h>

#include <algorithm>

#include <boost/iterator/iterator_facade.hpp>

#include <cstdint>

#include <iterator>

#include <limits>

#include <memory>

#include <utility>

#include <vector>

#include "common/status.h"

#include "core/block/block.h"

#include "core/block/column_numbers.h"

#include "core/block/column_with_type_and_name.h"

#include "core/column/column.h"

#include "core/column/column_array.h"

#include "core/column/column_const.h"

#include "core/column/column_nullable.h"

#include "core/column/column_string.h"

#include "core/column/column_vector.h"

#include "core/data_type/data_type.h"

#include "core/data_type/data_type_array.h"

#include "core/data_type/data_type_nullable.h"

#include "core/data_type/data_type_number.h"

#include "core/field.h"

#include "core/pod_array_fwd.h"

#include "core/string_ref.h"

#include "core/types.h"

#include "exec/common/string_searcher.h"

#include "exprs/aggregate/aggregate_function.h"

#include "exprs/function/function.h"

#include "exprs/function/function_helpers.h"

#include "exprs/function/simple_function_factory.h"

namespace doris {

#include "common/compile_check_begin.h"

class FunctionContext;

} // namespace doris

namespace doris {

template <typename Impl>

class FunctionMultiStringPosition : public IFunction {

public:

    static constexpr auto name = Impl::name;

    static FunctionPtr create() { return std::make_shared<FunctionMultiStringPosition>(); }

    String get_name() const override { return name; }

    size_t get_number_of_arguments() const override { return 2; }

    bool use_default_implementation_for_nulls() const override { return false; }

    DataTypePtr get_return_type_impl(const DataTypes& arguments) const override {

        return std::make_shared<DataTypeArray>(make_nullable(std::make_shared<DataTypeInt32>()));

    }

    Status execute_impl(FunctionContext* context, Block& block, const ColumnNumbers& arguments,

                        uint32_t result, size_t input_rows_count) const override {

        auto haystack_column = block.get_by_position(arguments[0]).column;

        auto needles_column = block.get_by_position(arguments[1]).column;

        bool haystack_nullable = false;

        bool needles_nullable = false;

        if (haystack_column->is_nullable()) {

            haystack_nullable = true;

        }

        if (needles_column->is_nullable()) {

            needles_nullable = true;

        }

        auto haystack_ptr = remove_nullable(haystack_column);

        auto needles_ptr = remove_nullable(needles_column);

        const ColumnString* col_haystack_vector =

                check_and_get_column<ColumnString>(&*haystack_ptr);

        const ColumnConst* col_haystack_const =

                check_and_get_column_const<ColumnString>(&*haystack_ptr);

        const ColumnArray* col_needles_vector =

                check_and_get_column<ColumnArray>(needles_ptr.get());

        const ColumnConst* col_needles_const =

                check_and_get_column_const<ColumnArray>(needles_ptr.get());

        if (!col_needles_const && !col_needles_vector) {

            return Status::InvalidArgument(

                    "function '{}' encountered unsupported needles column, found {}", name,

                    needles_column->get_name());

        }

        if (col_haystack_const && col_needles_vector) {

            return Status::InvalidArgument(

                    "function '{}' doesn't support search with non-constant needles "

                    "in constant haystack",

                    name);

        }

        auto col_res = ColumnVector<Impl::ResultType>::create();

        auto col_offsets = ColumnArray::ColumnOffsets::create();

        auto& vec_res = col_res->get_data();

        auto& offsets_res = col_offsets->get_data();

        Status status;

        if (col_needles_const) {

            status = Impl::vector_constant(

                    col_haystack_vector->get_chars(), col_haystack_vector->get_offsets(),

                    col_needles_const->get_value<TYPE_ARRAY>(), vec_res, offsets_res);

        } else {

            status = Impl::vector_vector(col_haystack_vector->get_chars(),

                                         col_haystack_vector->get_offsets(),

                                         col_needles_vector->get_data(),

                                         col_needles_vector->get_offsets(), vec_res, offsets_res);

        }

        if (!status.ok()) {

            return status;

        }

        if (haystack_nullable) {

            auto column_nullable = check_and_get_column<ColumnNullable>(haystack_column.get());

            auto& null_map = column_nullable->get_null_map_data();

            for (size_t i = 0; i != input_rows_count; ++i) {

                if (null_map[i] == 1) {

                    for (size_t offset = offsets_res[i - 1]; offset != offsets_res[i]; ++offset) {

                        vec_res[offset] = 0;

                    }

                }

            }

        }

        if (needles_nullable) {

            auto column_nullable = check_and_get_column<ColumnNullable>(needles_column.get());

            auto& null_map = column_nullable->get_null_map_data();

            for (size_t i = 0; i != input_rows_count; ++i) {

                if (null_map[i] == 1) {

                    for (size_t offset = offsets_res[i - 1]; offset != offsets_res[i]; ++offset) {

                        vec_res[offset] = 0;

                    }

                }

            }

        }

        auto nullable_col =

                ColumnNullable::create(std::move(col_res), ColumnUInt8::create(col_res->size(), 0));

        block.get_by_position(result).column =

                ColumnArray::create(std::move(nullable_col), std::move(col_offsets));

        return status;

    }

};

struct FunctionMultiSearchAllPositionsImpl {

public:

    static constexpr PrimitiveType ResultType = TYPE_INT;

    using SingleSearcher = ASCIICaseSensitiveStringSearcher;

    static constexpr auto name = "multi_search_all_positions";

    static Status vector_constant(const ColumnString::Chars& haystack_data,

                                  const ColumnString::Offsets& haystack_offsets,

                                  const Array& needles_arr, PaddedPODArray<Int32>& vec_res,

                                  PaddedPODArray<UInt64>& offsets_res) {

        if (needles_arr.size() > std::numeric_limits<UInt8>::max()) {

            return Status::InvalidArgument(

                    "number of arguments for function {} doesn't match: "

                    "passed {}, should be at most 255",

                    name, needles_arr.size());

        }

        const size_t needles_size = needles_arr.size();

        std::vector<SingleSearcher> searchers;

        searchers.reserve(needles_size);

        for (const auto& needle : needles_arr) {

            if (!is_string_type(needle.get_type())) {

                return Status::InvalidArgument("invalid type of needle {}", needle.get_type_name());

            }

            searchers.emplace_back(needle.get<TYPE_STRING>().data(),

                                   needle.get<TYPE_STRING>().size());

        }

        const size_t haystack_size = haystack_offsets.size();

        vec_res.resize(haystack_size * needles_size);

        offsets_res.resize(haystack_size);

        std::fill(vec_res.begin(), vec_res.end(), 0);

        // we traverse to generator answer by Vector's slot of ColumnVector, not by Vector.

        // TODO: check if the order of loop is best. The large data may make us writing across the line which size out of L2 cache.

        for (size_t ans_slot_in_row = 0; ans_slot_in_row < searchers.size(); ans_slot_in_row++) {

            //  is i.e. answer slot index in one Vector(row) of answer

            auto& searcher = searchers[ans_slot_in_row];

            size_t prev_haystack_offset = 0;

            for (size_t haystack_index = 0, res_index = ans_slot_in_row;

                 haystack_index < haystack_size; ++haystack_index, res_index += needles_size) {

                const auto* haystack = &haystack_data[prev_haystack_offset];

                const auto* haystack_end =

                        haystack - prev_haystack_offset + haystack_offsets[haystack_index];

                const auto* ans_now = searcher.search(haystack, haystack_end);

                vec_res[res_index] =

                        ans_now >= haystack_end ? 0 : (Int32)std::distance(haystack, ans_now) + 1;

                prev_haystack_offset = haystack_offsets[haystack_index];

            }

        }

        size_t accum = needles_size;

        for (size_t i = 0; i < haystack_size; ++i) {

            offsets_res[i] = accum;

            accum += needles_size;

        }

        return Status::OK();

    }

    static Status vector_vector(const ColumnString::Chars& haystack_data,

                                const ColumnString::Offsets& haystack_offsets,

                                const IColumn& needles_data,

                                const ColumnArray::Offsets64& needles_offsets,

                                PaddedPODArray<Int32>& vec_res,

                                PaddedPODArray<UInt64>& offsets_res) {

        size_t prev_haystack_offset = 0;

        size_t prev_needles_offset = 0;

        offsets_res.reserve(haystack_data.size());

        uint64_t offset_now = 0;

        auto& nested_column =

                check_and_get_column<ColumnNullable>(needles_data)->get_nested_column();

        const ColumnString* needles_data_string = check_and_get_column<ColumnString>(nested_column);

        std::vector<StringRef> needles_for_row;

        // haystack first, row by row.

        for (size_t haystack_index = 0; haystack_index < haystack_offsets.size();

             ++haystack_index) {

            // get haystack for this row.

            const auto* haystack = &haystack_data[prev_haystack_offset];

            const auto* haystack_end =

                    haystack - prev_haystack_offset + haystack_offsets[haystack_index];

            // build needles for this row.

            needles_for_row.reserve(needles_offsets[haystack_index] - prev_needles_offset);

            for (size_t j = prev_needles_offset; j < needles_offsets[haystack_index]; ++j) {

                needles_for_row.emplace_back(needles_data_string->get_data_at(j));

            }

            const size_t needles_row_size = needles_for_row.size();

            if (needles_row_size > std::numeric_limits<UInt8>::max()) {

                return Status::InvalidArgument(

                        "number of arguments for function {} doesn't match: "

                        "passed {}, should be at most 255",

                        name, needles_row_size);

            }

            // each searcher search for one needle.

            std::vector<SingleSearcher> searchers;

            searchers.clear();

            searchers.reserve(needles_row_size);

            for (auto needle : needles_for_row) {

                searchers.emplace_back(needle.data, needle.size);

            }

            // search for first so that the ans's size is constant for each row.

            auto ans_row_begin = vec_res.size();

            vec_res.resize(vec_res.size() + needles_row_size);

            offset_now += searchers.size();

            offsets_res.emplace_back(offset_now);

            //for now haystack, apply needle to search, generator answer by order.

            for (size_t ans_slot_in_row = 0; ans_slot_in_row < searchers.size();

                 ans_slot_in_row++) {

                //  is i.e. answer slot index in one Vector(row) of answer

                auto& searcher = searchers[ans_slot_in_row];

                auto ans_now = searcher.search(haystack, haystack_end);

                vec_res[ans_row_begin + ans_slot_in_row] =

                        ans_now >= haystack_end ? 0 : (Int32)std::distance(haystack, ans_now) + 1;

            }

            prev_haystack_offset = haystack_offsets[haystack_index];

            prev_needles_offset = needles_offsets[haystack_index];

            needles_for_row.clear();

        }

        return Status::OK();

    }

};

using FunctionMultiSearchAllPositions =

        FunctionMultiStringPosition<FunctionMultiSearchAllPositionsImpl>;

void register_function_multi_string_position(SimpleFunctionFactory& factory) {

    factory.register_function<FunctionMultiSearchAllPositions>();

}

#include "common/compile_check_end.h"

} // namespace doris