#include "../nodes/vp_file_src_node.h"
#include "../nodes/vp_rtsp_src_node.h"
#include "../nodes/vp_rtsp_ffmpeg_src_node.h"
#include "../nodes/vp_split_node.h"
#include "../nodes/infers/vp_trt_vehicle_detector.h"
#include "../nodes/infers/vp_trt_vehicle_plate_detector.h"
#include "../nodes/infers/vp_trt_vehicle_color_classifier.h"
#include "../nodes/infers/vp_yolo_detector_node.h"

#include "../nodes/osd/vp_osd_node.h"
#include "../nodes/vp_sync_node.h"
#include "../nodes/track/vp_sort_track_node.h"
#include "../nodes/ba/vp_ba_jam_node.h"
#include "../nodes/ba/vp_ba_stop_node.h"
#include "../nodes/ba/vp_ba_wrong_direction_node.h"
#include "../nodes/ba/vp_ba_person_gathering_node.h"
#include "../nodes/ba/vp_ba_person_falldown_node.h"
#include "../nodes/ba/vp_ba_report_detect_node.h"

#include "../nodes/osd/vp_ba_stop_osd_node.h"
#include "../nodes/broker/vp_json_kafka_broker_node.h"
#include "../nodes/record/vp_record_node.h"
#include "../nodes/vp_screen_des_node.h"
#include "../nodes/vp_fake_des_node.h"
#include "../nodes/vp_placeholder_node.h"

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

/*
* ## firesmoke_detect_sample ##
* detect firesmoke using yolo.
*/

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 rtsp_path = "rtsp://127.0.0.1:8554/demo";
    std::string kafka_server_point = "127.0.0.1:9092";
    float resize_ratio = 0.4;
    int skip_interval = 3;
    int channel_index = 21;
    bool usegpu = false; // 新增参数，默认值为 false

    // 如果提供了至少 6 个参数，则覆盖默认值
    if (args.size() >= 6) {
        rtsp_path = args[0];
        resize_ratio = std::stof(args[1]);
        kafka_server_point = args[2];
        skip_interval = std::stoi(args[3]);
        channel_index = std::stoi(args[4]);
        std::string usegpu_arg = args[5];
        // 将字符串转换为布尔值，支持 true/false 或 1/0
        std::transform(usegpu_arg.begin(), usegpu_arg.end(), usegpu_arg.begin(), ::tolower);
        if (usegpu_arg == "true" || usegpu_arg == "1") {
            usegpu = true;
        } else if (usegpu_arg == "false" || usegpu_arg == "0") {
            usegpu = false;
        } else {
            std::cerr << "Invalid value for <usegpu>. Please use 'true', 'false', '1', or '0'.\n";
            return -1;
        }
    } else {
        std::cout << "Usage: " << argv[0] << " <rtsp_path> <resize_ratio> <kafka_server_point> <skip_interval> <channel_index> <usegpu>\n";
        std::cout << "Example: " << argv[0] << " rtsp://127.0.0.1:8554/demo 0.4 127.0.0.1:9092 5 21 true\n";
        return -1;
    }

    // create nodes
    //auto file_src_0 = std::make_shared<vp_nodes::vp_file_src_node>("file_src_0", 0, rtsp_path, resize_ratio);
    //auto file_src_0 = std::make_shared<vp_nodes::vp_rtsp_src_node>("rtsp_src_1", 0, rtsp_path, resize_ratio, "avdec_h264", skip_interval); 
    auto file_src_0 = std::make_shared<vp_nodes::vp_rtsp_ffmpeg_src_node>("rtsp_src_1", channel_index, rtsp_path, resize_ratio, skip_interval, usegpu); 
    //auto file_src_1 = std::make_shared<vp_nodes::vp_file_src_node>("file_src_1", 1, "./vp_data/test_video/falldown.mp4", 0.5);
    //auto split = std::make_shared<vp_nodes::vp_split_node>("split", false, true);  // split by deep-copy not by channel!
    
    //branch 0
    //auto trt_vehicle_detector = std::make_shared<vp_nodes::vp_trt_vehicle_detector>("vehicle_detector", "./vp_data/models/trt/vehicle/vehicle_detection.trt");
    auto vehicle_detector = std::make_shared<vp_nodes::vp_yolo_detector_node>("vehicle_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 trt_vehicle_plate_detector = std::make_shared<vp_nodes::vp_trt_vehicle_plate_detector>("vehicle_plate_detector", "./vp_data/models/trt/plate/vehicle_plate_box_detection.trt", "./vp_data/models/trt/plate/vehicle_plate_text_recognition.trt");
    auto trt_vehicle_color_classifier = std::make_shared<vp_nodes::vp_trt_vehicle_color_classifier>("color_cls", "./vp_data/models/trt/vehicle/vehicle_color_detection.trt", std::vector<int>{0, 1, 2});
    
    auto tracker = std::make_shared<vp_nodes::vp_sort_track_node>("sort_tracker");
    
    // define a region in frame for every channel (value MUST in the scope of frame'size)
    std::map<int, std::vector<vp_objects::vp_point>> regions = {
        {channel_index, std::vector<vp_objects::vp_point>{vp_objects::vp_point(290, 10), vp_objects::vp_point(340, 10), vp_objects::vp_point(600, 330), vp_objects::vp_point(40, 350)}},  // channel0 -> region
        {1, std::vector<vp_objects::vp_point>{vp_objects::vp_point(290, 10), vp_objects::vp_point(340, 10), vp_objects::vp_point(600, 330), vp_objects::vp_point(40, 350)}}   // channel1 -> region
    };
    auto ba_jam = std::make_shared<vp_nodes::vp_ba_jam_node>("ba_jam", regions);
    auto ba_stop = std::make_shared<vp_nodes::vp_ba_stop_node>("ba_stop", regions);
    
    // 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 = 800;
    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);
       
    int min_gathering_count = 2;
    auto ba_person_gathering = std::make_shared<vp_nodes::vp_ba_person_gathering_node>("vp_ba_person_gathering_node", min_gathering_count,true,true);
    auto ba_person_falldown = std::make_shared<vp_nodes::vp_ba_person_falldown_node>("vp_ba_person_falldown_node", true,true);
  
    auto firesmoke_detector = std::make_shared<vp_nodes::vp_yolo_detector_node>("firesmoke_detector", "./vp_data/models/det_cls/firesmoke_yolov5s.onnx", "", "./vp_data/models/det_cls/firesmoke_3classes.txt", 640, 384,1,1000,0.8,0.8);
    auto ba_report_detect = std::make_shared<vp_nodes::vp_ba_report_detect_node>("ba_report_detect_node","fire_smoke",std::vector<int>{1000,1001,1002}, true,true);


    auto json_kafka_broker_0 = std::make_shared<vp_nodes::vp_json_kafka_broker_node>("json_kafka_broker_0", kafka_server_point, "vp_ba_result", vp_nodes::vp_broke_for::BARESULT);
    auto osd_0 = std::make_shared<vp_nodes::vp_ba_stop_osd_node>("osd_0", "./vp_data/font/NotoSansCJKsc-Medium.otf");
    auto recorder = std::make_shared<vp_nodes::vp_record_node>("recorder", "./record", "./record");
    
    // for testing. USING fake_des node in production 
    auto screen_des_0 = std::make_shared<vp_nodes::vp_screen_des_node>("screen_des_0", 0);    
    auto fake_des_0 = std::make_shared<vp_nodes::vp_fake_des_node>("fake_des_0", 0);

    // construct pipeline
    vehicle_detector->attach_to({file_src_0});
    trt_vehicle_plate_detector->attach_to({vehicle_detector});
    trt_vehicle_color_classifier->attach_to({trt_vehicle_plate_detector});
    tracker->attach_to({trt_vehicle_color_classifier});
    ba_jam->attach_to({tracker});
    ba_stop->attach_to({ba_jam});
    ba_wrong_direction->attach_to({ba_stop});
    ba_person_gathering->attach_to({ba_wrong_direction});
    ba_person_falldown->attach_to({ba_person_gathering});
    firesmoke_detector->attach_to({ba_person_falldown});
    ba_report_detect->attach_to({firesmoke_detector});
    json_kafka_broker_0->attach_to({ba_report_detect});
    osd_0->attach_to({json_kafka_broker_0});

    recorder->attach_to({osd_0});
    fake_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();
   
}