// 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 "exprs/vectorized_agg_fn.h"

#include <fmt/format.h>

#include <fmt/ranges.h> // IWYU pragma: keep

#include <gen_cpp/Exprs_types.h>

#include <gen_cpp/PlanNodes_types.h>

#include <glog/logging.h>

#include <memory>

#include <ostream>

#include <string_view>

#include "common/config.h"

#include "common/object_pool.h"

#include "core/block/block.h"

#include "core/block/column_with_type_and_name.h"

#include "core/block/materialize_block.h"

#include "core/data_type/data_type_agg_state.h"

#include "core/data_type/data_type_factory.hpp"

#include "exec/common/util.hpp"

#include "exprs/aggregate/aggregate_function_ai_agg.h"

#include "exprs/aggregate/aggregate_function_java_udaf.h"

#include "exprs/aggregate/aggregate_function_python_udaf.h"

#include "exprs/aggregate/aggregate_function_rpc.h"

#include "exprs/aggregate/aggregate_function_simple_factory.h"

#include "exprs/aggregate/aggregate_function_sort.h"

#include "exprs/aggregate/aggregate_function_state_merge.h"

#include "exprs/aggregate/aggregate_function_state_union.h"

#include "exprs/vexpr.h"

#include "exprs/vexpr_context.h"

static constexpr int64_t BE_VERSION_THAT_SUPPORT_NULLABLE_CHECK = 8;

namespace doris {

class RowDescriptor;

class Arena;

class BufferWritable;

class IColumn;

} // namespace doris

namespace doris {

#include "common/compile_check_begin.h"

template <class FunctionType>

AggregateFunctionPtr get_agg_state_function(const DataTypes& argument_types,

                                            DataTypePtr return_type) {

    return FunctionType::create(

            assert_cast<const DataTypeAggState*>(argument_types[0].get())->get_nested_function(),

            argument_types, return_type);

}

Unexecuted instantiation: _ZN5doris22get_agg_state_functionINS_19AggregateStateUnionEEESt10shared_ptrINS_18IAggregateFunctionEERKSt6vectorIS2_IKNS_9IDataTypeEESaIS8_EES8_

Unexecuted instantiation: _ZN5doris22get_agg_state_functionINS_19AggregateStateMergeEEESt10shared_ptrINS_18IAggregateFunctionEERKSt6vectorIS2_IKNS_9IDataTypeEESaIS8_EES8_

AggFnEvaluator::AggFnEvaluator(const TExprNode& desc, const bool without_key,

                               const bool is_window_function)

        : _fn(desc.fn),

          _is_merge(desc.agg_expr.is_merge_agg),

          _without_key(without_key),

          _is_window_function(is_window_function),

          _data_type(DataTypeFactory::instance().create_data_type(

                  desc.fn.ret_type, desc.__isset.is_nullable ? desc.is_nullable : true)) {

    if (desc.agg_expr.__isset.param_types) {

        const auto& param_types = desc.agg_expr.param_types;

        for (const auto& param_type : param_types) {

            _argument_types_with_sort.push_back(

                    DataTypeFactory::instance().create_data_type(param_type));

        }

    }

}

Status AggFnEvaluator::create(ObjectPool* pool, const TExpr& desc, const TSortInfo& sort_info,

                              const bool without_key, const bool is_window_function,

                              AggFnEvaluator** result) {

    *result =

            pool->add(AggFnEvaluator::create_unique(desc.nodes[0], without_key, is_window_function)

                              .release());

    auto& agg_fn_evaluator = *result;

    int node_idx = 0;

    for (int i = 0; i < desc.nodes[0].num_children; ++i) {

        ++node_idx;

        VExprSPtr expr;

        VExprContextSPtr ctx;

        RETURN_IF_ERROR(VExpr::create_tree_from_thrift(desc.nodes, &node_idx, expr, ctx));

        agg_fn_evaluator->_input_exprs_ctxs.push_back(ctx);

    }

    auto sort_size = sort_info.ordering_exprs.size();

    auto real_arguments_size = agg_fn_evaluator->_argument_types_with_sort.size() - sort_size;

    // Child arguments contains [real arguments, order by arguments], we pass the arguments

    // to the order by functions

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

        agg_fn_evaluator->_sort_description.emplace_back(real_arguments_size + i,

                                                         sort_info.is_asc_order[i] ? 1 : -1,

                                                         sort_info.nulls_first[i] ? -1 : 1);

    }

    // Pass the real arguments to get functions

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

        agg_fn_evaluator->_real_argument_types.emplace_back(

                agg_fn_evaluator->_argument_types_with_sort[i]);

    }

    return Status::OK();

}

Status AggFnEvaluator::prepare(RuntimeState* state, const RowDescriptor& desc,

                               const SlotDescriptor* intermediate_slot_desc,

                               const SlotDescriptor* output_slot_desc) {

    DCHECK(intermediate_slot_desc != nullptr);

    DCHECK(_intermediate_slot_desc == nullptr);

    _output_slot_desc = output_slot_desc;

    _intermediate_slot_desc = intermediate_slot_desc;

    Status status = VExpr::prepare(_input_exprs_ctxs, state, desc);

    RETURN_IF_ERROR(status);

    DataTypes tmp_argument_types;

    tmp_argument_types.reserve(_input_exprs_ctxs.size());

    std::vector<std::string_view> child_expr_name;

    // prepare for argument

    for (auto& _input_exprs_ctx : _input_exprs_ctxs) {

        auto data_type = _input_exprs_ctx->root()->data_type();

        tmp_argument_types.emplace_back(data_type);

        child_expr_name.emplace_back(_input_exprs_ctx->root()->expr_name());

    }

    std::vector<std::string> column_names;

    for (const auto& expr_ctx : _input_exprs_ctxs) {

        const auto& root = expr_ctx->root();

        if (!root->expr_name().empty() && !root->is_constant()) {

            column_names.emplace_back(root->expr_name());

        }

    }

    const DataTypes& argument_types =

            _real_argument_types.empty() ? tmp_argument_types : _real_argument_types;

    if (_fn.binary_type == TFunctionBinaryType::JAVA_UDF) {

        if (config::enable_java_support) {

            _function = AggregateJavaUdaf::create(_fn, argument_types, _data_type);

            RETURN_IF_ERROR(static_cast<AggregateJavaUdaf*>(_function.get())->check_udaf(_fn));

        } else {

            return Status::InternalError(

                    "Java UDAF is not enabled, you can change be config enable_java_support to "

                    "true and restart be.");

        }

    } else if (_fn.binary_type == TFunctionBinaryType::PYTHON_UDF) {

        if (config::enable_python_udf_support) {

            _function = AggregatePythonUDAF::create(_fn, argument_types, _data_type);

            RETURN_IF_ERROR(static_cast<AggregatePythonUDAF*>(_function.get())->open());

            LOG(INFO) << fmt::format(

                    "Created Python UDAF: {}, runtime_version: {}, function_code: {}",

                    _fn.name.function_name, _fn.runtime_version, _fn.function_code);

        } else {

            return Status::InternalError(

                    "Python UDAF is not enabled, you can change be config "

                    "enable_python_udf_support to true and restart be.");

        }

    } else if (_fn.binary_type == TFunctionBinaryType::RPC) {

        _function = AggregateRpcUdaf::create(_fn, argument_types, _data_type);

    } else if (_fn.binary_type == TFunctionBinaryType::AGG_STATE) {

        if (argument_types.size() != 1) {

            return Status::InternalError("Agg state Function must input 1 argument but get {}",

                                         argument_types.size());

        }

        if (argument_types[0]->is_nullable()) {

            return Status::InternalError("Agg state function input type must be not nullable");

        }

        if (argument_types[0]->get_primitive_type() != PrimitiveType::TYPE_AGG_STATE) {

            return Status::InternalError(

                    "Agg state function input type must be agg_state but get {}",

                    argument_types[0]->get_family_name());

        }

        std::string type_function_name =

                assert_cast<const DataTypeAggState*>(argument_types[0].get())->get_function_name();

        if (type_function_name + AGG_UNION_SUFFIX == _fn.name.function_name) {

            if (_data_type->is_nullable()) {

                return Status::InternalError(

                        "Union function return type must be not nullable, real={}",

                        _data_type->get_name());

            }

            if (_data_type->get_primitive_type() != PrimitiveType::TYPE_AGG_STATE) {

                return Status::InternalError(

                        "Union function return type must be AGG_STATE, real={}",

                        _data_type->get_name());

            }

            _function = get_agg_state_function<AggregateStateUnion>(argument_types, _data_type);

        } else if (type_function_name + AGG_MERGE_SUFFIX == _fn.name.function_name) {

            auto type = assert_cast<const DataTypeAggState*>(argument_types[0].get())

                                ->get_nested_function()

                                ->get_return_type();

            if (!type->equals(*_data_type)) {

                return Status::InternalError("{}'s expect return type is {}, but input {}",

                                             argument_types[0]->get_name(), type->get_name(),

                                             _data_type->get_name());

            }

            _function = get_agg_state_function<AggregateStateMerge>(argument_types, _data_type);

        } else {

            return Status::InternalError("{} not match function {}", argument_types[0]->get_name(),

                                         _fn.name.function_name);

        }

    } else {

        const bool is_foreach =

                AggregateFunctionSimpleFactory::is_foreach(_fn.name.function_name) ||

                AggregateFunctionSimpleFactory::is_foreachv2(_fn.name.function_name);

        // Here, only foreachv1 needs special treatment, and v2 can follow the normal code logic.

        if (AggregateFunctionSimpleFactory::is_foreach(_fn.name.function_name)) {

            _function = AggregateFunctionSimpleFactory::instance().get(

                    _fn.name.function_name, argument_types, _data_type,

                    AggregateFunctionSimpleFactory::result_nullable_by_foreach(_data_type),

                    state->be_exec_version(),

                    {.is_window_function = _is_window_function,

                     .is_foreach = is_foreach,

                     .enable_aggregate_function_null_v2 =

                             state->enable_aggregate_function_null_v2(),

                     .column_names = std::move(column_names)});

        } else {

            _function = AggregateFunctionSimpleFactory::instance().get(

                    _fn.name.function_name, argument_types, _data_type, _data_type->is_nullable(),

                    state->be_exec_version(),

                    {.is_window_function = _is_window_function,

                     .is_foreach = is_foreach,

                     .enable_aggregate_function_null_v2 =

                             state->enable_aggregate_function_null_v2(),

                     .column_names = std::move(column_names)});

        }

    }

    if (_function == nullptr) {

        return Status::InternalError("Agg Function {} is not implemented", _fn.signature);

    }

    if (!_sort_description.empty()) {

        _function = transform_to_sort_agg_function(_function, _argument_types_with_sort,

                                                   _sort_description, state);

    }

    if (_fn.name.function_name == "ai_agg") {

        _function->set_query_context(state->get_query_ctx());

    }

    // Foreachv2, like foreachv1, does not check the return type,

    // because its return type is related to the internal agg.

    if (!AggregateFunctionSimpleFactory::is_foreach(_fn.name.function_name) &&

        !AggregateFunctionSimpleFactory::is_foreachv2(_fn.name.function_name)) {

        if (state->be_exec_version() >= BE_VERSION_THAT_SUPPORT_NULLABLE_CHECK) {

            RETURN_IF_ERROR(

                    _function->verify_result_type(_without_key, argument_types, _data_type));

        }

    }

    _expr_name = fmt::format("{}({})", _fn.name.function_name, child_expr_name);

    return Status::OK();

}

Status AggFnEvaluator::open(RuntimeState* state) {

    return VExpr::open(_input_exprs_ctxs, state);

}

void AggFnEvaluator::create(AggregateDataPtr place) {

    _function->create(place);

}

void AggFnEvaluator::destroy(AggregateDataPtr place) {

    _function->destroy(place);

}

Status AggFnEvaluator::execute_single_add(Block* block, AggregateDataPtr place, Arena& arena) {

    RETURN_IF_ERROR(_calc_argument_columns(block));

    _function->add_batch_single_place(block->rows(), place, _agg_columns.data(), arena);

    return Status::OK();

}

Status AggFnEvaluator::execute_batch_add(Block* block, size_t offset, AggregateDataPtr* places,

                                         Arena& arena, bool agg_many) {

    RETURN_IF_ERROR(_calc_argument_columns(block));

    _function->add_batch(block->rows(), places, offset, _agg_columns.data(), arena, agg_many);

    return Status::OK();

}

Status AggFnEvaluator::execute_batch_add_selected(Block* block, size_t offset,

                                                  AggregateDataPtr* places, Arena& arena) {

    RETURN_IF_ERROR(_calc_argument_columns(block));

    _function->add_batch_selected(block->rows(), places, offset, _agg_columns.data(), arena);

    return Status::OK();

}

Status AggFnEvaluator::streaming_agg_serialize_to_column(Block* block, MutableColumnPtr& dst,

                                                         const size_t num_rows, Arena& arena) {

    RETURN_IF_ERROR(_calc_argument_columns(block));

    _function->streaming_agg_serialize_to_column(_agg_columns.data(), dst, num_rows, arena);

    return Status::OK();

}

void AggFnEvaluator::insert_result_info(AggregateDataPtr place, IColumn* column) {

    _function->insert_result_into(place, *column);

}

void AggFnEvaluator::insert_result_info_vec(const std::vector<AggregateDataPtr>& places,

                                            size_t offset, IColumn* column, const size_t num_rows) {

    _function->insert_result_into_vec(places, offset, *column, num_rows);

}

void AggFnEvaluator::reset(AggregateDataPtr place) {

    _function->reset(place);

}

std::string AggFnEvaluator::debug_string(const std::vector<AggFnEvaluator*>& exprs) {

    std::stringstream out;

    out << "[";

    for (int i = 0; i < exprs.size(); ++i) {

        out << (i == 0 ? "" : " ") << exprs[i]->debug_string();

    }

    out << "]";

    return out.str();

}

std::string AggFnEvaluator::debug_string() const {

    std::stringstream out;

    out << "AggFnEvaluator(";

    out << _fn.signature;

    out << ")";

    return out.str();

}

Status AggFnEvaluator::_calc_argument_columns(Block* block) {

    SCOPED_TIMER(_expr_timer);

    _agg_columns.resize(_input_exprs_ctxs.size());

    std::vector<int> column_ids(_input_exprs_ctxs.size());

    for (int i = 0; i < _input_exprs_ctxs.size(); ++i) {

        int column_id = -1;

        RETURN_IF_ERROR(_input_exprs_ctxs[i]->execute(block, &column_id));

        column_ids[i] = column_id;

    }

    materialize_block_inplace(*block, column_ids.data(),

                              column_ids.data() + _input_exprs_ctxs.size());

    for (int i = 0; i < _input_exprs_ctxs.size(); ++i) {

        _agg_columns[i] = block->get_by_position(column_ids[i]).column.get();

    }

    return Status::OK();

}

AggFnEvaluator* AggFnEvaluator::clone(RuntimeState* state, ObjectPool* pool) {

    return pool->add(AggFnEvaluator::create_unique(*this, state).release());

}

AggFnEvaluator::AggFnEvaluator(AggFnEvaluator& evaluator, RuntimeState* state)

        : _fn(evaluator._fn),

          _is_merge(evaluator._is_merge),

          _without_key(evaluator._without_key),

          _is_window_function(evaluator._is_window_function),

          _argument_types_with_sort(evaluator._argument_types_with_sort),

          _real_argument_types(evaluator._real_argument_types),

          _intermediate_slot_desc(evaluator._intermediate_slot_desc),

          _output_slot_desc(evaluator._output_slot_desc),

          _sort_description(evaluator._sort_description),

          _data_type(evaluator._data_type),

          _function(evaluator._function),

          _expr_name(evaluator._expr_name),

          _agg_columns(evaluator._agg_columns) {

    if (evaluator._fn.binary_type == TFunctionBinaryType::JAVA_UDF) {

        DataTypes tmp_argument_types;

        tmp_argument_types.reserve(evaluator._input_exprs_ctxs.size());

        // prepare for argument

        for (auto& _input_exprs_ctx : evaluator._input_exprs_ctxs) {

            auto data_type = _input_exprs_ctx->root()->data_type();

            tmp_argument_types.emplace_back(data_type);

        }

        const DataTypes& argument_types =

                _real_argument_types.empty() ? tmp_argument_types : _real_argument_types;

        _function = AggregateJavaUdaf::create(evaluator._fn, argument_types, evaluator._data_type);

        THROW_IF_ERROR(static_cast<AggregateJavaUdaf*>(_function.get())->check_udaf(evaluator._fn));

    }

    DCHECK(_function != nullptr);

    _input_exprs_ctxs.resize(evaluator._input_exprs_ctxs.size());

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

        WARN_IF_ERROR(evaluator._input_exprs_ctxs[i]->clone(state, _input_exprs_ctxs[i]), "");

    }

}

Status AggFnEvaluator::check_agg_fn_output(uint32_t key_size,

                                           const std::vector<AggFnEvaluator*>& agg_fn,

                                           const RowDescriptor& output_row_desc) {

    auto name_and_types = VectorizedUtils::create_name_and_data_types(output_row_desc);

    for (uint32_t i = key_size, j = 0; i < name_and_types.size(); i++, j++) {

        auto&& [name, column_type] = name_and_types[i];

        auto agg_return_type = agg_fn[j]->function()->get_return_type();

        if (!column_type->equals(*agg_return_type)) {

            if (!column_type->is_nullable() || agg_return_type->is_nullable() ||

                !remove_nullable(column_type)->equals(*agg_return_type)) {

                return Status::InternalError(

                        "column_type not match data_types in agg node, column_type={}, "

                        "data_types={},column name={}",

                        column_type->get_name(), agg_return_type->get_name(), name);

            }

        }

    }

    return Status::OK();

}

bool AggFnEvaluator::is_blockable() const {

    return _function->is_blockable() ||

           std::any_of(_input_exprs_ctxs.begin(), _input_exprs_ctxs.end(),

                       [](VExprContextSPtr ctx) { return ctx->root()->is_blockable(); });

}

#include "common/compile_check_end.h"

} // namespace doris