import base64
import json
import logging
import socketserver
from http.server import BaseHTTPRequestHandler
import cv2

import ths_industry_util
from ocr import ocr_util
from ocr.ocr_util import OcrUtil
from third_data import kpl_util
from trade import bidding_money_manager


class OCRServer(BaseHTTPRequestHandler):
    ocr_temp_data = {}

    def do_GET(self):
        path = self.path
        self.send_response(200)
        # 发给请求客户端的响应数据
        self.send_header('Content-type', 'application/json')
        self.end_headers()
        self.wfile.write("".encode())

    def do_POST(self):
        path = self.path
        params = self.__parse_request()
        params = params["data"]
        result_str = self.__process(params)
        self.__send_response(result_str)

    def __process(self, _str):
        return_str = ""
        try:
            data = ""
            try:
                if type(_str) == str:
                    data = json.loads(_str)
                else:
                    data = _str
            except Exception as e1:
                raise Exception("json解析失败")
            _type = data["type"]
            if _type == 100:
                data = data["data"]
                matId = data["matId"]
                index = data["index"]
                maxIndex = data["maxIndex"]
                cols = data["width"]
                rows = data["height"]
                key = data["key"]
                datas = data["data"]
                if self.ocr_temp_data.get(matId) is None:
                    self.ocr_temp_data[matId] = []
                self.ocr_temp_data[matId].extend(datas)
                if maxIndex == index:
                    # 数据传输完成
                    datas = self.ocr_temp_data[matId]
                    if rows * cols == len(datas):
                        self.ocr_temp_data.pop(matId)
                        mat = cv2.numpy.zeros((rows, cols, 1), cv2.numpy.uint8)
                        for r in range(0, rows):
                            for c in range(0, cols):
                                mat[r][c] = [datas[r * cols + c]]
                        # cv2.imwrite("D:/test.png", mat)
                        ocr_results = ocr_util.OcrUtil.ocr_with_key(mat, key)
                        if not ocr_results:
                            # 多重识别，防止识别出错
                            ocr_results = ocr_util.OcrUtil.ocr_num(mat, key)
                        # 图像识别
                        return_str = json.dumps({"code": 0, "data": {"datas": ocr_results}})
                    else:
                        return_str = json.dumps({"code": 2, "msg": "数据出错"})
                else:
                    return_str = json.dumps({"code": 1, "msg": "数据尚未上传完"})
            elif _type == 101:
                data = data["data"]
                matId = data["matId"]
                index = data["index"]
                maxIndex = data["maxIndex"]
                cols = data["width"]
                rows = data["height"]
                datas = data["data"]
                if self.ocr_temp_data.get(matId) is None:
                    self.ocr_temp_data[matId] = []
                self.ocr_temp_data[matId].extend(datas)
                if maxIndex == index:
                    # 数据传输完成
                    datas = self.ocr_temp_data[matId]
                    if rows * cols == len(datas):
                        self.ocr_temp_data.pop(matId)
                        mat = cv2.numpy.zeros((rows, cols, 1), cv2.numpy.uint8)
                        for r in range(0, rows):
                            for c in range(0, cols):
                                mat[r][c] = [datas[r * cols + c]]
                        # cv2.imwrite("D:/test.png", mat)
                        ocr_results = ocr_util.OcrUtil.ocr_with_key(mat, ".")
                        code_name = ""
                        for res in ocr_results:
                            code_name += res[0]
                        # TODO 根据代码名称获取代码
                        code = ths_industry_util.get_code_by_name(code_name)
                        # 图像识别
                        return_str = json.dumps({"code": 0, "data": {"code": code}})
                    else:
                        return_str = json.dumps({"code": 2, "msg": "数据出错"})
                else:
                    return_str = json.dumps({"code": 1, "msg": "数据尚未上传完"})
            elif _type == 201:
                imgdata = base64.b64decode(data["img"])
                results = ocr_util.OcrUtil.easy_ocr(imgdata)
                print(results)
                kpl_datas = kpl_util.parse_kpl_datas(results)
                if kpl_datas:
                    bidding_money_manager.set_bidding_money(kpl_datas)
                with open("D:/kpl.png", mode="wb") as f:
                    f.write(imgdata)
        except Exception as e:
            logging.exception(e)
            if str(e).__contains__("json解析失败"):
                logging.error("OCR数据JSON解析解析失败")
                return_str = json.dumps({"code": -1, "msg": str(e)})
        return return_str

    def __send_response(self, data):
        # 发给请求客户端的响应数据
        self.send_response(200)
        self.send_header('Content-type', 'application/json')
        self.end_headers()
        self.wfile.write(data.encode())

    def __parse_request(self):
        params = {}
        datas = self.rfile.read(int(self.headers['content-length']))
        _str = str(datas, encoding="gbk")
        # print(_str)
        if _str.find("Content-Disposition: form-data;") > -1:
            start = 0
            while True:
                start = _str.find("Content-Disposition: form-data;", start + 1)
                if start <= 0:
                    break
                name_start = start + len("Content-Disposition: form-data;")
                name_end = _str.find("\r\n\r\n", start)

                val_end = _str.find("------", name_end)
                key = _str[name_start:name_end].strip()[6:-1]
                val = _str[name_end:val_end].strip()
                params[key] = val
        else:
            params = json.loads(_str)
        return params


def run(addr, port):
    handler = OCRServer
    httpd = socketserver.TCPServer((addr, port), handler)
    print("HTTP server is at: http://%s:%d/" % (addr, port))
    httpd.serve_forever()


if __name__ == "__main__":
    str_={"id":"123"}
    print(type(str_)==str)