// 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.

#pragma once

#include <gen_cpp/Types_types.h>

#include <gen_cpp/types.pb.h>

#include <atomic>

#include <cstddef>

#include <cstdint>

#include <functional>

#include <memory>

#include <mutex>

#include <string>

#include <vector>

#include "common/status.h"

#include "exec/pipeline/pipeline.h"

#include "exec/pipeline/pipeline_task.h"

#include "runtime/query_context.h"

#include "runtime/runtime_profile.h"

#include "runtime/runtime_state.h"

#include "runtime/task_execution_context.h"

#include "util/stopwatch.hpp"

namespace doris {

struct ReportStatusRequest;

class ExecEnv;

class RuntimeFilterMergeControllerEntity;

class TDataSink;

class TPipelineFragmentParams;

class Dependency;

class PipelineFragmentContext : public TaskExecutionContext {

public:

    ENABLE_FACTORY_CREATOR(PipelineFragmentContext);

    // Callback to report execution status of plan fragment.

    // 'profile' is the cumulative profile, 'done' indicates whether the execution

    // is done or still continuing.

    // Note: this does not take a const RuntimeProfile&, because it might need to call

    // functions like PrettyPrint() or to_thrift(), neither of which is const

    // because they take locks.

    using report_status_callback = std::function<Status(

            const ReportStatusRequest, std::shared_ptr<PipelineFragmentContext>&&)>;

    PipelineFragmentContext(TUniqueId query_id, const TPipelineFragmentParams& request,

                            std::shared_ptr<QueryContext> query_ctx, ExecEnv* exec_env,

                            const std::function<void(RuntimeState*, Status*)>& call_back,

                            report_status_callback report_status_cb);

    ~PipelineFragmentContext() override;

    void print_profile(const std::string& extra_info);

    std::vector<std::shared_ptr<TRuntimeProfileTree>> collect_realtime_profile() const;

    std::shared_ptr<TRuntimeProfileTree> collect_realtime_load_channel_profile() const;

    bool is_timeout(timespec now) const;

    uint64_t elapsed_time() const { return _fragment_watcher.elapsed_time(); }

    int timeout_second() const { return _timeout; }

    PipelinePtr add_pipeline(PipelinePtr parent = nullptr, int idx = -1);

    QueryContext* get_query_ctx() { return _query_ctx.get(); }

    [[nodiscard]] bool is_canceled() const { return _query_ctx->is_cancelled(); }

    Status prepare(ThreadPool* thread_pool);

    Status submit();

    void set_is_report_success(bool is_report_success) { _is_report_success = is_report_success; }

    void cancel(const Status reason);

    TUniqueId get_query_id() const { return _query_id; }

    [[nodiscard]] int get_fragment_id() const { return _fragment_id; }

    void decrement_running_task(PipelineId pipeline_id);

    Status send_report(bool);

    void trigger_report_if_necessary();

    void refresh_next_report_time();

    std::string debug_string();

    [[nodiscard]] int next_operator_id() { return _operator_id--; }

    [[nodiscard]] int max_operator_id() const { return _operator_id; }

    [[nodiscard]] int next_sink_operator_id() { return _sink_operator_id--; }

    [[nodiscard]] size_t get_revocable_size(bool* has_running_task) const;

    [[nodiscard]] std::vector<PipelineTask*> get_revocable_tasks() const;

    void clear_finished_tasks() {

        if (_need_notify_close) {

            return;

        }

        for (size_t j = 0; j < _tasks.size(); j++) {

            for (size_t i = 0; i < _tasks[j].size(); i++) {

                _tasks[j][i].first->stop_if_finished();

            }

        }

    }

    std::string get_load_error_url();

    std::string get_first_error_msg();

    Status wait_close(bool close);

    Status rebuild(ThreadPool* thread_pool);

    Status set_to_rerun();

    bool need_notify_close() const { return _need_notify_close; }

private:

    void _release_resource();

    Status _build_and_prepare_full_pipeline(ThreadPool* thread_pool);

    Status _build_pipelines(ObjectPool* pool, const DescriptorTbl& descs, OperatorPtr* root,

                            PipelinePtr cur_pipe);

    Status _create_tree_helper(ObjectPool* pool, const std::vector<TPlanNode>& tnodes,

                               const DescriptorTbl& descs, OperatorPtr parent, int* node_idx,

                               OperatorPtr* root, PipelinePtr& cur_pipe, int child_idx,

                               const bool followed_by_shuffled_join,

                               const bool require_bucket_distribution);

    Status _create_operator(ObjectPool* pool, const TPlanNode& tnode, const DescriptorTbl& descs,

                            OperatorPtr& op, PipelinePtr& cur_pipe, int parent_idx, int child_idx,

                            const bool followed_by_shuffled_join,

                            const bool require_bucket_distribution);

    template <bool is_intersect>

    Status _build_operators_for_set_operation_node(ObjectPool* pool, const TPlanNode& tnode,

                                                   const DescriptorTbl& descs, OperatorPtr& op,

                                                   PipelinePtr& cur_pipe,

                                                   std::vector<DataSinkOperatorPtr>& sink_ops);

    Status _create_data_sink(ObjectPool* pool, const TDataSink& thrift_sink,

                             const std::vector<TExpr>& output_exprs,

                             const TPipelineFragmentParams& params, const RowDescriptor& row_desc,

                             RuntimeState* state, DescriptorTbl& desc_tbl,

                             PipelineId cur_pipeline_id);

    Status _plan_local_exchange(int num_buckets,

                                const std::map<int, int>& bucket_seq_to_instance_idx,

                                const std::map<int, int>& shuffle_idx_to_instance_idx);

    Status _plan_local_exchange(int num_buckets, int pip_idx, PipelinePtr pip,

                                const std::map<int, int>& bucket_seq_to_instance_idx,

                                const std::map<int, int>& shuffle_idx_to_instance_idx);

    void _inherit_pipeline_properties(const DataDistribution& data_distribution,

                                      PipelinePtr pipe_with_source, PipelinePtr pipe_with_sink);

    Status _add_local_exchange(int pip_idx, int idx, int node_id, ObjectPool* pool,

                               PipelinePtr cur_pipe, DataDistribution data_distribution,

                               bool* do_local_exchange, int num_buckets,

                               const std::map<int, int>& bucket_seq_to_instance_idx,

                               const std::map<int, int>& shuffle_idx_to_instance_idx);

    Status _add_local_exchange_impl(int idx, ObjectPool* pool, PipelinePtr cur_pipe,

                                    PipelinePtr new_pip, DataDistribution data_distribution,

                                    bool* do_local_exchange, int num_buckets,

                                    const std::map<int, int>& bucket_seq_to_instance_idx,

                                    const std::map<int, int>& shuffle_idx_to_instance_idx);

    Status _build_pipeline_tasks(ThreadPool* thread_pool);

    Status _build_pipeline_tasks_for_instance(

            int instance_idx,

            const std::vector<std::shared_ptr<RuntimeProfile>>& pipeline_id_to_profile);

    void _close_fragment_instance();

    void _init_next_report_time();

    // Id of this query

    TUniqueId _query_id;

    int _fragment_id;

    ExecEnv* _exec_env = nullptr;

    std::atomic_bool _prepared = false;

    bool _submitted = false;

    Pipelines _pipelines;

    PipelineId _next_pipeline_id = 0;

    std::mutex _task_mutex;

    int _closed_tasks = 0;

    // After prepared, `_total_tasks` is equal to the size of `_tasks`.

    // When submit fail, `_total_tasks` is equal to the number of tasks submitted.

    std::atomic<int> _total_tasks = 0;

    std::unique_ptr<RuntimeProfile> _fragment_level_profile;

    bool _is_report_success = false;

    std::unique_ptr<RuntimeState> _runtime_state;

    std::shared_ptr<QueryContext> _query_ctx;

    MonotonicStopWatch _fragment_watcher;

    RuntimeProfile::Counter* _prepare_timer = nullptr;

    RuntimeProfile::Counter* _init_context_timer = nullptr;

    RuntimeProfile::Counter* _build_pipelines_timer = nullptr;

    RuntimeProfile::Counter* _plan_local_exchanger_timer = nullptr;

    RuntimeProfile::Counter* _prepare_all_pipelines_timer = nullptr;

    RuntimeProfile::Counter* _build_tasks_timer = nullptr;

    std::function<void(RuntimeState*, Status*)> _call_back;

    std::atomic_bool _is_fragment_instance_closed = false;

    // If this is set to false, and '_is_report_success' is false as well,

    // This executor will not report status to FE on being cancelled.

    bool _is_report_on_cancel;

    // 0 indicates reporting is in progress or not required

    std::atomic_bool _disable_period_report = true;

    std::atomic_uint64_t _previous_report_time = 0;

    // This callback is used to notify the FE of the status of the fragment.

    // For example:

    // 1. when the fragment is cancelled, it will be called.

    // 2. when the fragment is finished, it will be called. especially, when the fragment is

    // a insert into select statement, it should notfiy FE every fragment's status.

    // And also, this callback is called periodly to notify FE the load process.

    report_status_callback _report_status_cb;

    DescriptorTbl* _desc_tbl = nullptr;

    int _num_instances = 1;

    int _timeout = -1;

    bool _use_serial_source = false;

    OperatorPtr _root_op = nullptr;

    //

    /**

     * Matrix stores tasks with local runtime states.

     * This is a [n * m] matrix. n is parallelism of pipeline engine and m is the number of pipelines.

     *

     * 2-D matrix:

     * +-------------------------+------------+-------+

     * |            | Pipeline 0 | Pipeline 1 |  ...  |

     * +------------+------------+------------+-------+

     * | Instance 0 |  task 0-0  |  task 0-1  |  ...  |

     * +------------+------------+------------+-------+

     * | Instance 1 |  task 1-0  |  task 1-1  |  ...  |

     * +------------+------------+------------+-------+

     * | ...                                          |

     * +--------------------------------------+-------+

     */

    std::vector<

            std::vector<std::pair<std::shared_ptr<PipelineTask>, std::unique_ptr<RuntimeState>>>>

            _tasks;

    // TODO: remove the _sink and _multi_cast_stream_sink_senders to set both

    // of it in pipeline task not the fragment_context

#ifdef __clang__

#pragma clang diagnostic push

#pragma clang diagnostic ignored "-Wshadow-field"

#endif

    DataSinkOperatorPtr _sink = nullptr;

#ifdef __clang__

#pragma clang diagnostic pop

#endif

    // `_dag` manage dependencies between pipelines by pipeline ID. the indices will be blocked by members

    std::map<PipelineId, std::vector<PipelineId>> _dag;

    // We use preorder traversal to create an operator tree. When we meet a join node, we should

    // build probe operator and build operator in separate pipelines. To do this, we should build

    // ProbeSide first, and use `_pipelines_to_build` to store which pipeline the build operator

    // is in, so we can build BuildSide once we complete probe side.

    struct pipeline_parent_map {

        std::map<int, std::vector<PipelinePtr>> _build_side_pipelines;

        void push(int parent_node_id, PipelinePtr pipeline) {

            if (!_build_side_pipelines.contains(parent_node_id)) {

                _build_side_pipelines.insert({parent_node_id, {pipeline}});

            } else {

                _build_side_pipelines[parent_node_id].push_back(pipeline);

            }

        }

        void pop(PipelinePtr& cur_pipe, int parent_node_id, int child_idx) {

            if (!_build_side_pipelines.contains(parent_node_id)) {

                return;

            }

            DCHECK(_build_side_pipelines.contains(parent_node_id));

            auto& child_pipeline = _build_side_pipelines[parent_node_id];

            DCHECK(child_idx < child_pipeline.size());

            cur_pipe = child_pipeline[child_idx];

        }

        void clear() { _build_side_pipelines.clear(); }

    } _pipeline_parent_map;

    std::mutex _state_map_lock;

    int _operator_id = 0;

    int _sink_operator_id = 0;

    /**

     * Some states are shared by tasks in different pipeline task (e.g. local exchange , broadcast join).

     *

     * local exchange sink 0 ->                               -> local exchange source 0

     *                            LocalExchangeSharedState

     * local exchange sink 1 ->                               -> local exchange source 1

     *

     * hash join build sink 0 ->                               -> hash join build source 0

     *                              HashJoinSharedState

     * hash join build sink 1 ->                               -> hash join build source 1

     *

     * So we should keep states here.

     */

    std::map<int,

             std::pair<std::shared_ptr<BasicSharedState>, std::vector<std::shared_ptr<Dependency>>>>

            _op_id_to_shared_state;

    std::map<PipelineId, Pipeline*> _pip_id_to_pipeline;

    std::vector<std::unique_ptr<RuntimeFilterMgr>> _runtime_filter_mgr_map;

    //Here are two types of runtime states:

    //    - _runtime state is at the Fragment level.

    //    - _task_runtime_states is at the task level, unique to each task.

    std::vector<TUniqueId> _fragment_instance_ids;

    // Total instance num running on all BEs

    int _total_instances = -1;

    TPipelineFragmentParams _params;

    int32_t _parallel_instances = 0;

    bool _need_notify_close = false;

};

} // namespace doris