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// 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
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// KIND, either express or implied.  See the License for the
// specific language governing permissions and limitations
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#include "vec/exprs/vectorized_fn_call.h"

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

#include <algorithm>
#include <memory>
#include <ostream>
#include <string_view>
#include <utility>

#include "common/config.h"
#include "common/consts.h"
#include "common/status.h"
#include "runtime/runtime_state.h"
#include "udf/udf.h"
#include "vec/columns/column.h"
#include "vec/core/block.h"
#include "vec/core/column_with_type_and_name.h"
#include "vec/core/columns_with_type_and_name.h"
#include "vec/data_types/data_type.h"
#include "vec/exprs/vexpr_context.h"
#include "vec/functions/function_java_udf.h"
#include "vec/functions/function_rpc.h"
#include "vec/functions/simple_function_factory.h"

namespace doris {
class RowDescriptor;
class RuntimeState;
class TExprNode;
} // namespace doris

namespace doris::vectorized {

VectorizedFnCall::VectorizedFnCall(const TExprNode& node) : VExpr(node) {}

Status VectorizedFnCall::prepare(RuntimeState* state, const RowDescriptor& desc,
                                 VExprContext* context) {
    RETURN_IF_ERROR_OR_PREPARED(VExpr::prepare(state, desc, context));
    ColumnsWithTypeAndName argument_template;
    argument_template.reserve(_children.size());
    std::vector<std::string_view> child_expr_name;
    for (auto child : _children) {
        argument_template.emplace_back(nullptr, child->data_type(), child->expr_name());
        child_expr_name.emplace_back(child->expr_name());
    }
    if (_fn.binary_type == TFunctionBinaryType::RPC) {
        _function = FunctionRPC::create(_fn, argument_template, _data_type);
    } else if (_fn.binary_type == TFunctionBinaryType::JAVA_UDF) {
        if (config::enable_java_support) {
            _function = JavaFunctionCall::create(_fn, argument_template, _data_type);
        } else {
            return Status::InternalError(
                    "Java UDF is not enabled, you can change be config enable_java_support to true "
                    "and restart be.");
        }
    } else {
        // get the function. won't prepare function.
        _function = SimpleFunctionFactory::instance().get_function(
                _fn.name.function_name, argument_template, _data_type, state->be_exec_version());
    }
    if (_function == nullptr) {
        std::string type_str;
        for (auto arg : argument_template) {
            type_str = type_str + " " + arg.type->get_name();
        }
        return Status::InternalError(
                "Function {} is not implemented, input param type is {}, "
                "and return type is {}.",
                _fn.name.function_name, type_str, _data_type->get_name());
    }
    VExpr::register_function_context(state, context);
    _expr_name = fmt::format("{}({})", _fn.name.function_name, child_expr_name);
    _function_name = _fn.name.function_name;
    _can_fast_execute = _function->can_fast_execute();

    return Status::OK();
}

Status VectorizedFnCall::open(RuntimeState* state, VExprContext* context,
                              FunctionContext::FunctionStateScope scope) {
    RETURN_IF_ERROR(VExpr::open(state, context, scope));
    RETURN_IF_ERROR(VExpr::init_function_context(context, scope, _function));
    return Status::OK();
}

void VectorizedFnCall::close(RuntimeState* state, VExprContext* context,
                             FunctionContext::FunctionStateScope scope) {
    VExpr::close_function_context(context, scope, _function);
    VExpr::close(state, context, scope);
}

Status VectorizedFnCall::execute(VExprContext* context, vectorized::Block* block,
                                 int* result_column_id) {
    // TODO: not execute const expr again, but use the const column in function context
    vectorized::ColumnNumbers arguments(_children.size());
    for (int i = 0; i < _children.size(); ++i) {
        int column_id = -1;
        RETURN_IF_ERROR(_children[i]->execute(context, block, &column_id));
        arguments[i] = column_id;
    }
    RETURN_IF_ERROR(check_constant(*block, arguments));

    // call function
    size_t num_columns_without_result = block->columns();
    // prepare a column to save result
    block->insert({nullptr, _data_type, _expr_name});
    if (_can_fast_execute) {
        // if not find fast execute result column, means do not need check fast execute again
        _can_fast_execute = fast_execute(context->fn_context(_fn_context_index), *block, arguments,
                                         num_columns_without_result, block->rows());
        if (_can_fast_execute) {
            *result_column_id = num_columns_without_result;
            return Status::OK();
        }
    }

    RETURN_IF_ERROR(_function->execute(context->fn_context(_fn_context_index), *block, arguments,
                                       num_columns_without_result, block->rows(), false));
    *result_column_id = num_columns_without_result;

    return Status::OK();
}

// fast_execute can direct copy expr filter result which build by apply index in segment_iterator
bool VectorizedFnCall::fast_execute(FunctionContext* context, Block& block,
                                    const ColumnNumbers& arguments, size_t result,
                                    size_t input_rows_count) {
    auto query_value = block.get_by_position(arguments[1]).to_string(0);
    std::string column_name = block.get_by_position(arguments[0]).name;
    auto result_column_name = BeConsts::BLOCK_TEMP_COLUMN_PREFIX + column_name + "_" +
                              _function->get_name() + "_" + query_value;
    if (!block.has(result_column_name)) {
        return false;
    }

    auto result_column =
            block.get_by_name(result_column_name).column->convert_to_full_column_if_const();
    auto& result_info = block.get_by_position(result);
    if (result_info.type->is_nullable()) {
        block.replace_by_position(result,
                                  ColumnNullable::create(std::move(result_column),
                                                         ColumnUInt8::create(input_rows_count, 0)));
    } else {
        block.replace_by_position(result, std::move(result_column));
    }

    return true;
}

const std::string& VectorizedFnCall::expr_name() const {
    return _expr_name;
}

std::string VectorizedFnCall::debug_string() const {
    std::stringstream out;
    out << "VectorizedFn[";
    out << _expr_name;
    out << "]{";
    bool first = true;
    for (auto& input_expr : children()) {
        if (first) {
            first = false;
        } else {
            out << ",";
        }
        out << "\n" << input_expr->debug_string();
    }
    out << "}";
    return out.str();
}

std::string VectorizedFnCall::debug_string(const std::vector<VectorizedFnCall*>& agg_fns) {
    std::stringstream out;
    out << "[";
    for (int i = 0; i < agg_fns.size(); ++i) {
        out << (i == 0 ? "" : " ") << agg_fns[i]->debug_string();
    }
    out << "]";
    return out.str();
}
} // namespace doris::vectorized