#include "../nodes/vp_file_src_node.h"
#include "../nodes/infers/vp_yolo_detector_node.h"
#include "../nodes/track/vp_sort_track_node.h"
#include "../nodes/ba/vp_ba_wrong_direction_node.h"
#include "../nodes/osd/vp_ba_stop_osd_node.h"
#include "../nodes/vp_screen_des_node.h"
#include "../nodes/broker/vp_json_kafka_broker_node.h"
#include "../nodes/record/vp_record_node.h"

#include "../utils/analysis_board/vp_analysis_board.h"

/*
* ## ba crossline sample ##
* behaviour analysis for crossline.
*/

int main(int argc, char* argv[]) {
    VP_SET_LOG_LEVEL(vp_utils::vp_log_level::INFO);
    VP_LOGGER_INIT();

    std::vector<std::string> args(argv + 1, argv + argc);
    // 默认的命令行参数
    std::string video_path = "./vp_data/test_video/vehicle_count.mp4";

    float resize_ratio = 0.4;

    // 如果提供了第一个和第二个参数，则覆盖默认的路径
    if (args.size() >= 1) {
        video_path = args[0];
        if (args.size() >= 2){
            resize_ratio = std::stof(args[1]);
        }
    } else {
        std::cout << "Usage: " << argv[0] << " <video_path> [resize_ratio]\n";
        std::cout << "Example: " << argv[0] << " ./vp_data/test_video/vehicle_count.mp4 0.4\n";
        return -1;
    }


    // create nodes
    auto file_src_0 = std::make_shared<vp_nodes::vp_file_src_node>("file_src_0", 0, video_path, resize_ratio);
    auto yolo_detector = std::make_shared<vp_nodes::vp_yolo_detector_node>("yolo_detector", "./vp_data/models/det_cls/yolov3-tiny-2022-0721_best.weights", "./vp_data/models/det_cls/yolov3-tiny-2022-0721.cfg", "./vp_data/models/det_cls/yolov3_tiny_5classes.txt");
    auto tracker = std::make_shared<vp_nodes::vp_sort_track_node>("sort_tracker");
    
    // define a line in frame for every channel (value MUST in the scope of frame'size)
    vp_objects::vp_point left_start(10, 10);  // change to proper value
    vp_objects::vp_point left_end(10, 20);  // change to proper value
    vp_objects::vp_point right_start(10, 20);  // change to proper value
    vp_objects::vp_point right_end(10, 10);  // change to proper value
    std::map<int, std::vector<vp_objects::vp_point>> left_lines = {{0, {left_start, left_end}}};  // channel0 -> point vector
    std::map<int, std::vector<vp_objects::vp_point>> right_lines = {{0, {right_start, right_end}}};  // channel0 -> point vector
    int half_screen_width = 384;
    auto ba_wrong_direction = std::make_shared<vp_nodes::vp_ba_wrong_direction_node>("vp_ba_wrong_direction_node", left_lines,right_lines,half_screen_width,true,true);
    auto json_kafka_broker_0 = std::make_shared<vp_nodes::vp_json_kafka_broker_node>("json_kafka_broker_0", "192.168.0.85:9092", "vp_ba_wrong_direction", vp_nodes::vp_broke_for::BARESULT);
    auto osd = std::make_shared<vp_nodes::vp_ba_stop_osd_node>("osd");
    auto recorder = std::make_shared<vp_nodes::vp_record_node>("recorder", "./record", "./record");
    auto screen_des_0 = std::make_shared<vp_nodes::vp_screen_des_node>("screen_des_0", 0);
    
    // construct pipeline
    yolo_detector->attach_to({file_src_0});
    tracker->attach_to({yolo_detector});
    ba_wrong_direction->attach_to({tracker});
    json_kafka_broker_0->attach_to({ba_wrong_direction});
    osd->attach_to({json_kafka_broker_0});
    recorder->attach_to({osd});
    screen_des_0->attach_to({recorder});


    file_src_0->start();

    // for debug purpose
    vp_utils::vp_analysis_board board({file_src_0});
    board.display(1, false);

    std::string wait;
    std::getline(std::cin, wait);
    file_src_0->detach_recursively();
}