// 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 "format/text/text_reader.h"

#include <gen_cpp/PlanNodes_types.h>

#include <gen_cpp/Types_types.h>

#include <glog/logging.h>

#include <cstddef>

#include <utility>

#include <vector>

#include "common/compiler_util.h" // IWYU pragma: keep

#include "common/status.h"

#include "core/block/block.h"

#include "core/column/column_nullable.h"

#include "core/column/column_string.h"

#include "core/data_type_serde/data_type_string_serde.h"

#include "exec/scan/scanner.h"

#include "format/csv/csv_reader.h"

#include "format/file_reader/new_plain_text_line_reader.h"

#include "format/line_reader.h"

#include "io/file_factory.h"

#include "io/fs/buffered_reader.h"

#include "io/fs/file_reader.h"

#include "io/fs/s3_file_reader.h"

#include "runtime/descriptors.h"

#include "runtime/runtime_state.h"

namespace doris {

void HiveTextFieldSplitter::do_split(const Slice& line, std::vector<Slice>* splitted_values) {

    if (_value_sep_len == 1) {

        _split_field_single_char(line, splitted_values);

    } else {

        _split_field_multi_char(line, splitted_values);

    }

}

void HiveTextFieldSplitter::_split_field_single_char(const Slice& line,

                                                     std::vector<Slice>* splitted_values) {

    const char* data = line.data;

    const size_t size = line.size;

    size_t value_start = 0;

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

        if (data[i] == _value_sep[0]) {

            // hive will escape the field separator in string

            if (_escape_char != 0 && i > 0 && data[i - 1] == _escape_char) {

                continue;

            }

            process_value_func(data, value_start, i - value_start, _trimming_char, splitted_values);

            value_start = i + _value_sep_len;

        }

    }

    process_value_func(data, value_start, size - value_start, _trimming_char, splitted_values);

}

void HiveTextFieldSplitter::_split_field_multi_char(const Slice& line,

                                                    std::vector<Slice>* splitted_values) {

    const char* data = line.data;

    const size_t size = line.size;

    size_t start = 0;

    std::vector<int> next(_value_sep_len);

    next[0] = -1;

    for (int i = 1, j = -1; i < (int)_value_sep_len; i++) {

        while (j >= 0 && _value_sep[i] != _value_sep[j + 1]) {

            j = next[j];

        }

        if (_value_sep[i] == _value_sep[j + 1]) {

            j++;

        }

        next[i] = j;

    }

    // KMP search

    for (int i = 0, j = -1; i < (int)size; i++) {

        while (j >= 0 && data[i] != _value_sep[j + 1]) {

            j = next[j];

        }

        if (data[i] == _value_sep[j + 1]) {

            j++;

        }

        if (j == (int)_value_sep_len - 1) {

            size_t curpos = i - _value_sep_len + 1;

            if (_escape_char != 0 && curpos > 0 && data[curpos - 1] == _escape_char) {

                j = next[j];

                continue;

            }

            if (curpos >= start) {

                process_value_func(data, start, curpos - start, _trimming_char, splitted_values);

                start = curpos + _value_sep_len;

            }

            j = next[j];

        }

    }

    process_value_func(data, start, size - start, _trimming_char, splitted_values);

}

TextReader::TextReader(RuntimeState* state, RuntimeProfile* profile, ScannerCounter* counter,

                       const TFileScanRangeParams& params, const TFileRangeDesc& range,

                       const std::vector<SlotDescriptor*>& file_slot_descs, size_t batch_size,

                       io::IOContext* io_ctx, std::shared_ptr<io::IOContext> io_ctx_holder)

        : CsvReader(state, profile, counter, params, range, file_slot_descs, batch_size, io_ctx,

                    std::move(io_ctx_holder)) {}

Status TextReader::_init_options() {

    // get column_separator and line_delimiter

    _value_separator = _params.file_attributes.text_params.column_separator;

    _value_separator_length = _value_separator.size();

    _line_delimiter = _params.file_attributes.text_params.line_delimiter;

    _line_delimiter_length = _line_delimiter.size();

    if (_params.file_attributes.text_params.__isset.escape) {

        _escape = _params.file_attributes.text_params.escape;

    }

    _options.escape_char = _escape;

    _options.collection_delim = _params.file_attributes.text_params.collection_delimiter[0];

    _options.map_key_delim = _params.file_attributes.text_params.mapkv_delimiter[0];

    _options.null_format = _params.file_attributes.text_params.null_format.data();

    _options.null_len = _params.file_attributes.text_params.null_format.length();

    return Status::OK();

}

Status TextReader::_deserialize_one_cell(DataTypeSerDeSPtr serde, IColumn& column, Slice& slice) {

    return serde->deserialize_one_cell_from_hive_text(column, slice, _options);

}

Status TextReader::_create_line_reader() {

    std::shared_ptr<TextLineReaderContextIf> text_line_reader_ctx;

    text_line_reader_ctx = std::make_shared<PlainTextLineReaderCtx>(_line_delimiter,

                                                                    _line_delimiter_length, false);

    _fields_splitter = std::make_unique<HiveTextFieldSplitter>(

            false, false, _value_separator, _value_separator_length, -1, _escape);

    _line_reader =

            NewPlainTextLineReader::create_unique(_profile, _file_reader, _decompressor.get(),

                                                  text_line_reader_ctx, _size, _start_offset);

    return Status::OK();

}

Status TextReader::_validate_line(const Slice& line, bool* success) {

    // text file do not need utf8 check

    *success = true;

    return Status::OK();

}

Status TextReader::_deserialize_nullable_string(IColumn& column, Slice& slice) {

    // Hot path of hive text load, see CsvReader::_deserialize_nullable_string. The

    // column type was verified by the checked assert_cast in

    // _reserve_nullable_string_columns at the beginning of the batch.

    auto& null_column = assert_cast<ColumnNullable&, TypeCheckOnRelease::DISABLE>(column);

    auto& string_column = assert_cast<ColumnString&, TypeCheckOnRelease::DISABLE>(

            null_column.get_nested_column());

    if (slice.compare(Slice(_options.null_format, _options.null_len)) == 0) {

        string_column.insert_default();

        null_column.get_null_map_data().push_back(1);

        return Status::OK();

    }

    // Same as DataTypeStringSerDe::deserialize_one_cell_from_hive_text (which never

    // fails), written out here to skip the SerDe layer and its per-cell assert_cast.

    if (_options.escape_char != 0) {

        escape_string(slice.data, &slice.size, _options.escape_char);

    }

    string_column.insert_data(slice.data, slice.size);

    null_column.get_null_map_data().push_back(0);

    return Status::OK();

}

} // namespace doris