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// 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 "pipeline/exec/repeat_operator.h"

#include <memory>

#include "common/logging.h"
#include "pipeline/exec/operator.h"
#include "vec/common/assert_cast.h"
#include "vec/core/block.h"
#include "vec/core/column_with_type_and_name.h"

namespace doris {
#include "common/compile_check_begin.h"
class RuntimeState;
} // namespace doris

namespace doris::pipeline {

RepeatLocalState::RepeatLocalState(RuntimeState* state, OperatorXBase* parent)
        : Base(state, parent),
          _child_block(vectorized::Block::create_unique()),
          _repeat_id_idx(0) {}

Status RepeatLocalState::open(RuntimeState* state) {
    SCOPED_TIMER(exec_time_counter());
    SCOPED_TIMER(_open_timer);
    RETURN_IF_ERROR(Base::open(state));
    auto& p = _parent->cast<Parent>();
    _expr_ctxs.resize(p._expr_ctxs.size());
    for (size_t i = 0; i < _expr_ctxs.size(); i++) {
        RETURN_IF_ERROR(p._expr_ctxs[i]->clone(state, _expr_ctxs[i]));
    }
    return Status::OK();
}

Status RepeatLocalState::init(RuntimeState* state, LocalStateInfo& info) {
    RETURN_IF_ERROR(Base::init(state, info));
    SCOPED_TIMER(exec_time_counter());
    SCOPED_TIMER(_init_timer);
    _evaluate_input_timer = ADD_TIMER(custom_profile(), "EvaluateInputDataTime");
    _get_repeat_data_timer = ADD_TIMER(custom_profile(), "GetRepeatDataTime");
    _filter_timer = ADD_TIMER(custom_profile(), "FilterTime");
    return Status::OK();
}

Status RepeatOperatorX::init(const TPlanNode& tnode, RuntimeState* state) {
    RETURN_IF_ERROR(OperatorXBase::init(tnode, state));
    RETURN_IF_ERROR(vectorized::VExpr::create_expr_trees(tnode.repeat_node.exprs, _expr_ctxs));
    for (const auto& slot_idx : _grouping_list) {
        if (slot_idx.size() < _repeat_id_list_size) {
            return Status::InternalError(
                    "grouping_list size {} is less than repeat_id_list size {}", slot_idx.size(),
                    _repeat_id_list_size);
        }
    }
    return Status::OK();
}

Status RepeatOperatorX::prepare(RuntimeState* state) {
    VLOG_CRITICAL << "VRepeatNode::open";
    RETURN_IF_ERROR(OperatorXBase::prepare(state));
    const auto* output_tuple_desc = state->desc_tbl().get_tuple_descriptor(_output_tuple_id);
    if (output_tuple_desc == nullptr) {
        return Status::InternalError("Failed to get tuple descriptor.");
    }
    for (const auto& slot_desc : output_tuple_desc->slots()) {
        _output_slots.push_back(slot_desc);
    }
    RETURN_IF_ERROR(vectorized::VExpr::prepare(_expr_ctxs, state, _child->row_desc()));
    RETURN_IF_ERROR(vectorized::VExpr::open(_expr_ctxs, state));
    return Status::OK();
}

RepeatOperatorX::RepeatOperatorX(ObjectPool* pool, const TPlanNode& tnode, int operator_id,
                                 const DescriptorTbl& descs)
        : Base(pool, tnode, operator_id, descs),
          _slot_id_set_list(tnode.repeat_node.slot_id_set_list),
          _all_slot_ids(tnode.repeat_node.all_slot_ids),
          _repeat_id_list_size(tnode.repeat_node.repeat_id_list.size()),
          _grouping_list(tnode.repeat_node.grouping_list),
          _output_tuple_id(tnode.repeat_node.output_tuple_id) {};

// The control logic of RepeatOperator is
// push a block, output _repeat_id_list_size blocks
// In the output block, the first part of the columns comes from the input block's columns, and the latter part of the columns is the grouping_id
// If there is no expr, there is only grouping_id
// If there is an expr, the first part of the columns in the output block uses _all_slot_ids and _slot_id_set_list to control whether it is null
bool RepeatOperatorX::need_more_input_data(RuntimeState* state) const {
    auto& local_state = state->get_local_state(operator_id())->cast<RepeatLocalState>();
    return !local_state._child_block->rows() && !local_state._child_eos;
}

Status RepeatLocalState::get_repeated_block(vectorized::Block* input_block, int repeat_id_idx,
                                            vectorized::Block* output_block) {
    auto& p = _parent->cast<RepeatOperatorX>();
    DCHECK(input_block != nullptr);
    DCHECK_EQ(output_block->rows(), 0);

    size_t input_column_size = input_block->columns();
    size_t output_column_size = p._output_slots.size();
    DCHECK_LT(input_column_size, output_column_size);
    auto m_block = vectorized::VectorizedUtils::build_mutable_mem_reuse_block(output_block,
                                                                              p._output_slots);
    auto& output_columns = m_block.mutable_columns();
    /* Fill all slots according to child, for example:select tc1,tc2,sum(tc3) from t1 group by grouping sets((tc1),(tc2));
     * insert into t1 values(1,2,1),(1,3,1),(2,1,1),(3,1,1);
     * slot_id_set_list=[[0],[1]],repeat_id_idx=0,
     * child_block 1,2,1 | 1,3,1 | 2,1,1 | 3,1,1
     * output_block 1,null,1,1 | 1,null,1,1 | 2,nul,1,1 | 3,null,1,1
     */
    size_t cur_col = 0;
    for (size_t i = 0; i < input_column_size; i++) {
        const vectorized::ColumnWithTypeAndName& src_column = input_block->get_by_position(i);
        const auto slot_id = p._output_slots[cur_col]->id();
        const bool is_repeat_slot = p._all_slot_ids.contains(slot_id);
        const bool is_set_null_slot = !p._slot_id_set_list[repeat_id_idx].contains(slot_id);
        const auto row_size = src_column.column->size();
        vectorized::ColumnPtr src = src_column.column;
        if (is_repeat_slot) {
            DCHECK(p._output_slots[cur_col]->is_nullable());
            auto* nullable_column =
                    assert_cast<vectorized::ColumnNullable*>(output_columns[cur_col].get());
            if (is_set_null_slot) {
                // is_set_null_slot = true, output all null
                nullable_column->insert_many_defaults(row_size);
            } else {
                if (!src_column.type->is_nullable()) {
                    nullable_column->get_nested_column().insert_range_from(*src_column.column, 0,
                                                                           row_size);
                    nullable_column->push_false_to_nullmap(row_size);
                } else {
                    nullable_column->insert_range_from(*src_column.column, 0, row_size);
                }
            }
        } else {
            output_columns[cur_col]->insert_range_from(*src_column.column, 0, row_size);
        }
        cur_col++;
    }

    const auto rows = input_block->rows();
    // Fill grouping ID to block
    RETURN_IF_ERROR(add_grouping_id_column(rows, cur_col, output_columns, repeat_id_idx));

    DCHECK_EQ(cur_col, output_column_size);

    return Status::OK();
}

Status RepeatLocalState::add_grouping_id_column(std::size_t rows, std::size_t& cur_col,
                                                vectorized::MutableColumns& columns,
                                                int repeat_id_idx) {
    auto& p = _parent->cast<RepeatOperatorX>();
    for (auto slot_idx = 0; slot_idx < p._grouping_list.size(); slot_idx++) {
        DCHECK_LT(slot_idx, p._output_slots.size());
        int64_t val = p._grouping_list[slot_idx][repeat_id_idx];
        auto* column_ptr = columns[cur_col].get();
        DCHECK(!p._output_slots[cur_col]->is_nullable());
        auto* col = assert_cast<vectorized::ColumnInt64*>(column_ptr);
        col->insert_many_vals(val, rows);
        cur_col++;
    }
    return Status::OK();
}

Status RepeatOperatorX::push(RuntimeState* state, vectorized::Block* input_block, bool eos) const {
    auto& local_state = get_local_state(state);
    SCOPED_TIMER(local_state._evaluate_input_timer);
    local_state._child_eos = eos;
    auto& intermediate_block = local_state._intermediate_block;
    auto& expr_ctxs = local_state._expr_ctxs;
    DCHECK(!intermediate_block || intermediate_block->rows() == 0);
    if (input_block->rows() > 0) {
        SCOPED_PEAK_MEM(&local_state._estimate_memory_usage);
        intermediate_block = vectorized::Block::create_unique();

        for (auto& expr : expr_ctxs) {
            vectorized::ColumnWithTypeAndName result_data;
            RETURN_IF_ERROR(expr->execute(input_block, result_data));
            result_data.column = result_data.column->convert_to_full_column_if_const();
            intermediate_block->insert(result_data);
        }
        DCHECK_EQ(expr_ctxs.size(), intermediate_block->columns());
    }

    return Status::OK();
}

Status RepeatOperatorX::pull(doris::RuntimeState* state, vectorized::Block* output_block,
                             bool* eos) const {
    auto& local_state = get_local_state(state);
    auto& _repeat_id_idx = local_state._repeat_id_idx;
    auto& _child_block = *local_state._child_block;
    auto& _child_eos = local_state._child_eos;
    auto& _intermediate_block = local_state._intermediate_block;
    RETURN_IF_CANCELLED(state);

    SCOPED_PEAK_MEM(&local_state._estimate_memory_usage);

    DCHECK(_repeat_id_idx >= 0);
    for (const std::vector<int64_t>& v : _grouping_list) {
        DCHECK(_repeat_id_idx <= (int)v.size());
    }
    DCHECK(output_block->rows() == 0);

    {
        SCOPED_TIMER(local_state._get_repeat_data_timer);
        // Each pull increases _repeat_id_idx by one until _repeat_id_idx equals _repeat_id_list_size
        // Then clear the data of _intermediate_block and _child_block, and set _repeat_id_idx to 0
        // need_more_input_data will check if _child_block is empty
        if (_intermediate_block && _intermediate_block->rows() > 0) {
            RETURN_IF_ERROR(local_state.get_repeated_block(_intermediate_block.get(),
                                                           _repeat_id_idx, output_block));

            _repeat_id_idx++;

            if (_repeat_id_idx >= _repeat_id_list_size) {
                _intermediate_block->clear();
                _child_block.clear_column_data(_child->row_desc().num_materialized_slots());
                _repeat_id_idx = 0;
            }
        } else if (local_state._expr_ctxs.empty()) {
            auto m_block = vectorized::VectorizedUtils::build_mutable_mem_reuse_block(
                    output_block, _output_slots);
            auto rows = _child_block.rows();
            auto& columns = m_block.mutable_columns();

            std::size_t cur_col = 0;
            RETURN_IF_ERROR(
                    local_state.add_grouping_id_column(rows, cur_col, columns, _repeat_id_idx));
            _repeat_id_idx++;

            if (_repeat_id_idx >= _repeat_id_list_size) {
                _intermediate_block->clear();
                _child_block.clear_column_data(_child->row_desc().num_materialized_slots());
                _repeat_id_idx = 0;
            }
        }
    }

    {
        SCOPED_TIMER(local_state._filter_timer);
        RETURN_IF_ERROR(vectorized::VExprContext::filter_block(local_state._conjuncts, output_block,
                                                               output_block->columns()));
    }

    *eos = _child_eos && _child_block.rows() == 0;
    local_state.reached_limit(output_block, eos);
    return Status::OK();
}

#include "common/compile_check_end.h"
} // namespace doris::pipeline