#include "../village_pic_interface.h"
#include <vector>
#include <string>
#include <iostream>
#include "../utils/logger.hpp"

using namespace std;

void show_result(std::vector<AnalysisResult> r);

int main() {

    void *vaHandle = NULL;

    VillageParam param;
    param.dev_id = 0;
    param.sdk_path = ".";
    param.log_level = 1;

    string log_path = param.log_path + "/main.log";

    set_default_logger(LogLevel(param.log_level), "PicAnalysis", log_path.c_str(), param.log_mem, param.log_days);
    
    int ret = village_pic_init(&vaHandle, param);

    // vector<string> vec_path;
    // size_t i = 0;
    // // for (i = 1; i < 8; i++)
    // {
    //     string path = "./img/test_road";
    //     path = path + to_string(i) + ".jpg";
    //     vec_path.push_back(path);
    // }

    vector<string> vec_path;
    {
        string path = "./img/test_all1.jpg";
        vec_path.push_back(path);
    }
    
    std::vector<AnalysisResult> result = village_pic_analysis_file(vaHandle, vec_path);
    show_result(result);

    village_pic_release(&vaHandle);

    return 0;
}

static string shot_type[] = {"head", "rear", "motor", "tricycle", "body", "body_nova", "6-行人"};
static string vehicle_type[] = {"person 人", " bike 自行车", "motor 摩托车", "tricycle 三轮车", "car 汽车", "bigbus 大巴", "lorry 货车", "tractor 拖拉机", "midibus  面包/中巴"};
static string plate_status[] = {"全部遮挡", " 无车牌", " 正常车牌", " 部分遮挡"};
static string plate_type[] = {"0-单排蓝色 ", "1-单排黄色 ", "2-单排白色 ", "3-单排黑色", " 4-双排黄色 ", "5-双排白色 ", "6-新能源黄绿色 ", "7-新能源白绿色"};
static string human_color[] = {"棕", "橙", "灰", "白", "粉", "紫", "红", "绿", "蓝", "银", "青", "黄", "黑","多色", "其他"};
static string line_cls[] = {"未知", "黄实线", " 白实线", "白虚线", "黄虚线", "车道中线"};
static string seg_cls[] = {"未知","行车道/机动车道", "非机动车道", "应急车道", "导流线", "人行横道", "禁停区域", "十字路口区域", "农村道路"};

void show_result(std::vector<AnalysisResult> result){

    for (size_t i = 0; i < result.size(); i++)
    {
        std::vector<VehicleInfo> info = result[i].info;
        for (size_t j = 0; j < info.size(); j++)
        {
            auto plate_info = info[j].vehicle_plate_det_recg_res;
            std::vector<pendant_info> pendant_res = info[j].vehicle_pendant_det_res;

            LOG_INFO("位置特征");
            LOG_INFO("      车辆位置:{},{},{},{}", info[j].vehicle_body_detect_res.rect.left_ ,info[j].vehicle_body_detect_res.rect.top_, info[j].vehicle_body_detect_res.rect.width_, info[j].vehicle_body_detect_res.rect.height_);
            LOG_INFO("      拍摄方向:{}", shot_type[info[j].type]);
            LOG_INFO("目标类型:{}", vehicle_type[info[j].vpt_type]);
            LOG_INFO("车辆特征");
            LOG_INFO("      号牌状态:{}", plate_status[plate_info.stain_vp_result.type]);
            LOG_INFO("      号牌位置:{},{},{},{}", plate_info.rect.left_, plate_info.rect.top_, plate_info.rect.width_, plate_info.rect.height_ );
            LOG_INFO("      号牌种类:{}", plate_type[plate_info.type]);
            LOG_INFO("      号牌号码:{}{}{}{}{}{}{}{}", plate_info.recg[0].character, plate_info.recg[1].character, plate_info.recg[2].character, plate_info.recg[3].character, plate_info.recg[4].character, plate_info.recg[5].character, plate_info.recg[6].character, plate_info.recg[7].character);
            LOG_INFO("      号牌可信度:{}", plate_info.detect_score);
            LOG_INFO("      每位号牌可信度:{}:{}  {}:{}  {}:{}  {}:{}  {}:{}  {}:{}  {}:{}  {}:{}", plate_info.recg[0].character, plate_info.recg[0].maxprob, plate_info.recg[1].character, plate_info.recg[1].maxprob, plate_info.recg[2].character, plate_info.recg[2].maxprob, plate_info.recg[3].character, plate_info.recg[3].maxprob, plate_info.recg[4].character, plate_info.recg[4].maxprob, plate_info.recg[5].character, plate_info.recg[5].maxprob, plate_info.recg[6].character, plate_info.recg[6].maxprob, plate_info.recg[7].character, plate_info.recg[7].maxprob);
            LOG_INFO("      车辆类型分类:{}", vehicle_type[info[j].vpt_type]);
            if (pendant_res.size() > 0)
            {
                LOG_INFO("驾乘人员特征");
                for (size_t k = 0; k < pendant_res.size(); k++)
                {
                    auto one_pendant = pendant_res[k];
                    LOG_INFO("      位置信息:{},{},{},{}", one_pendant.rect.left_, one_pendant.rect.top_, one_pendant.rect.width_, one_pendant.rect.height_ );
                    LOG_INFO("      可信度:{}", one_pendant.confidence);
                    LOG_INFO("      衣着颜色:{}", human_color[one_pendant.iColor]);
                }
            }
            LOG_INFO("行人特征");
            LOG_INFO("      上衣颜色:{}", human_color[info[j].human_upper_color]);
            LOG_INFO("      下衣颜色:{}", human_color[info[j].human_lower_color]);
            LOG_INFO("违法行为特征");
            LOG_INFO("      不戴头盔:{} 置信度：{}", info[j].mta_res.motor_driver_helmeted.status, info[j].mta_res.motor_driver_helmeted.confidence);
            LOG_INFO("      违法载人:{}", info[j].motor_manned);
            LOG_INFO("      加装雨棚:{} {}", info[j].rainshed, info[j].rainshed_prob);
            LOG_INFO("      使用手机:{} {}", info[j].phoning, info[j].phoning_prob);
            LOG_INFO("      逆行:{}", info[j].reverse_driving);
            LOG_INFO("      货厢载人:{}", info[j].truck_manned);
            LOG_INFO("      违反禁止标线  压实线:{}  压导流线:{}", info[j].cross_line, info[j].cross_diversion_line);
        }

        LOG_INFO("标线信息");
        std::vector<LineInfo> vec_line = result[i].vec_line;
        for (size_t i = 0; i < vec_line.size(); i++)
        {
            LineInfo one_line = vec_line[i];
            LOG_INFO("      标线类型:{}", line_cls[one_line.line_type]);
            string str_line = "";
            for (size_t j = 0; j < one_line.vec_pt.size(); j++)
            {
                str_line += to_string(one_line.vec_pt[j].x)+","+to_string(one_line.vec_pt[j].y) + "_";
            }
            LOG_INFO("      标线点集:{}", str_line);
        }
        
        std::vector<SegInfo> vec_road = result[i].vec_road;
        for (size_t i = 0; i < vec_road.size(); i++)
        {
            SegInfo one_seg = vec_road[i];
            LOG_INFO("      车道类型:{}", seg_cls[one_seg.seg_type]);
            string str_line = "";
            for (size_t j = 0; j < one_seg.vec_pt.size(); j++)
            {
                str_line += to_string(one_seg.vec_pt[j].x)+","+to_string(one_seg.vec_pt[j].y) + "_";
            }
            LOG_INFO("      车道点集:{}", str_line);
        }
    }
}