/*
// Copyright (C) 2020-2024 Intel Corporation
//
// Licensed 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 <stdint.h>

#include <condition_variable>
#include <exception>
#include <memory>
#include <mutex>
#include <unordered_map>

#include <openvino/openvino.hpp>
#include <models/results.h>
#include <utils/performance_metrics.hpp>
#include "pipelines/requests_pool.h"
#include "models/model_base.h"
class ModelBase;
struct InputData;
struct MetaData;
struct ModelConfig;

/// This is base class for asynchronous pipeline
/// Derived classes should add functions for data submission and output processing
class AsyncPipeline {
public:
    /// Loads model and performs required initialization
    /// @param modelInstance pointer to model object. Object it points to should not be destroyed manually after passing
    /// pointer to this function.
    /// @param config - fine tuning configuration for model
    /// @param core - reference to ov::Core instance to use.
    /// If it is omitted, new instance of  ov::Core will be created inside.
    AsyncPipeline(std::unique_ptr<ModelBase>&& modelInstance, const ModelConfig& config, ov::Core& core);
    virtual ~AsyncPipeline();

    /// Waits until either output data becomes available or pipeline allows to submit more input data.
    /// @param shouldKeepOrder if true, function will treat results as ready only if next sequential result (frame) is
    /// ready (so results can be extracted in the same order as they were submitted). Otherwise, function will return if
    /// any result is ready.
    void waitForData(bool shouldKeepOrder = true);

    /// @returns true if there's available infer requests in the pool
    /// and next frame can be submitted for processing, false otherwise.
    bool isReadyToProcess() {
        return requestsPool->isIdleRequestAvailable();
    }

    /// Waits for all currently submitted requests to be completed.
    ///
    void waitForTotalCompletion() {
        if (requestsPool)
            requestsPool->waitForTotalCompletion();
    }

    void updateModelImageSize(const cv::Size& inputImgSize) {
		model->updateImageSize(inputImgSize);
    }

    /// Submits data to the model for inference
    /// @param inputData - input data to be submitted
    /// @param metaData - shared pointer to metadata container.
    /// Might be null. This pointer will be passed through pipeline and put to the final result structure.
    /// @returns -1 if image cannot be scheduled for processing (there's no free InferRequest available).
    /// Otherwise returns unique sequential frame ID for this particular request. Same frame ID will be written in the
    /// result structure.
    virtual int64_t submitData(const InputData& inputData, const std::shared_ptr<MetaData>& metaData);

    /// Gets available data from the queue
    /// @param shouldKeepOrder if true, function will treat results as ready only if next sequential result (frame) is
    /// ready (so results can be extracted in the same order as they were submitted). Otherwise, function will return if
    /// any result is ready.
    virtual std::unique_ptr<ResultBase> getResult(bool shouldKeepOrder = true);

    PerformanceMetrics getInferenceMetircs() {
        return inferenceMetrics;
    }
    PerformanceMetrics getPreprocessMetrics() {
        return preprocessMetrics;
    }
    PerformanceMetrics getPostprocessMetrics() {
        return postprocessMetrics;
    }

protected:
    /// Returns processed result, if available
    /// @param shouldKeepOrder if true, function will return processed data sequentially,
    /// keeping original frames order (as they were submitted). Otherwise, function will return processed data in random
    /// order.
    /// @returns InferenceResult with processed information or empty InferenceResult (with negative frameID) if there's
    /// no any results yet.
    virtual InferenceResult getInferenceResult(bool shouldKeepOrder);

    std::unique_ptr<RequestsPool> requestsPool;
    std::unordered_map<int64_t, InferenceResult> completedInferenceResults;

    ov::CompiledModel compiledModel;

    std::mutex mtx;
    std::condition_variable condVar;

    int64_t inputFrameId = 0;
    int64_t outputFrameId = 0;

    std::exception_ptr callbackException = nullptr;
    
    std::unique_ptr<ModelBase> model;
    PerformanceMetrics inferenceMetrics;
    PerformanceMetrics preprocessMetrics;
    PerformanceMetrics postprocessMetrics;
};