默认交易模式变更/真实下单位置计算位置修改

Administrator

5 小时以前 2f2516749615da866e96d8d24e499b7ecbb63a3e

 ocr/ocr_server.py

@@ -3,11 +3,12 @@
import logging
import socketserver
from http.server import BaseHTTPRequestHandler
import cv2
import numpy

import ths_industry_util
import constant
from log_module.log import logger_system
from utils 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

@@ -59,11 +60,11 @@
                    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)
                        mat = numpy.zeros((rows, cols, 1), 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)
                        # cv2.imwrite(f"{constant.get_path_prefix()}/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
@@ -90,16 +91,16 @@
                    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)
                        mat = numpy.zeros((rows, cols, 1), 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)
                        # cv2.imwrite(f"{constant.get_path_prefix()}/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
                        # 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}})
@@ -110,11 +111,11 @@
            elif _type == 201:
                imgdata = base64.b64decode(data["img"])
                results = ocr_util.OcrUtil.easy_ocr(imgdata)
                print(results)
                # 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:
                with open(f"{constant.get_path_prefix()}/kpl.png", mode="wb") as f:
                    f.write(imgdata)
        except Exception as e:
            logging.exception(e)
@@ -155,11 +156,15 @@

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()
    try:
        httpd = socketserver.TCPServer((addr, port), handler)
        # print("HTTP server is at: http://%s:%d/" % (addr, port))
        httpd.serve_forever()
    except Exception as e:
        logger_system.exception(e)
        logger_system.error(f"端口服务器：{port} 启动失败")


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