import json
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import logging
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import socketserver
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from http.server import BaseHTTPRequestHandler
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import cv2
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import ths_industry_util
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from ocr import ocr_util
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from ocr.ocr_util import OcrUtil
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class OCRServer(BaseHTTPRequestHandler):
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ocr_temp_data = {}
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def do_GET(self):
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path = self.path
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self.send_response(200)
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# 发给请求客户端的响应数据
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self.send_header('Content-type', 'application/json')
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self.end_headers()
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self.wfile.write("".encode())
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def do_POST(self):
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path = self.path
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params = self.__parse_request()
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params = params["data"]
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result_str = self.__process(params)
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self.__send_response(result_str)
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def __process(self, _str):
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return_str = ""
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try:
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data = ""
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try:
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data = json.loads(_str)
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except:
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raise Exception("json解析失败")
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type = data["type"]
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if type == 100:
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data = data["data"]
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matId = data["matId"]
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index = data["index"]
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maxIndex = data["maxIndex"]
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cols = data["width"]
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rows = data["height"]
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key = data["key"]
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datas = data["data"]
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if self.ocr_temp_data.get(matId) is None:
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self.ocr_temp_data[matId] = []
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self.ocr_temp_data[matId].extend(datas)
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if maxIndex == index:
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# 数据传输完成
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datas = self.ocr_temp_data[matId]
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if rows * cols == len(datas):
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self.ocr_temp_data.pop(matId)
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mat = cv2.numpy.zeros((rows, cols, 1), cv2.numpy.uint8)
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for r in range(0, rows):
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for c in range(0, cols):
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mat[r][c] = [datas[r * cols + c]]
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# cv2.imwrite("D:/test.png", mat)
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ocr_results = ocr_util.OcrUtil.ocr_with_key(mat, key)
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if not ocr_results:
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# 多重识别，防止识别出错
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ocr_results = ocr_util.OcrUtil.ocr_num(mat, key)
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# 图像识别
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return_str = json.dumps({"code": 0, "data": {"datas": ocr_results}})
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else:
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return_str = json.dumps({"code": 2, "msg": "数据出错"})
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else:
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return_str = json.dumps({"code": 1, "msg": "数据尚未上传完"})
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elif type == 101:
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data = data["data"]
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matId = data["matId"]
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index = data["index"]
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maxIndex = data["maxIndex"]
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cols = data["width"]
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rows = data["height"]
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datas = data["data"]
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if self.ocr_temp_data.get(matId) is None:
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self.ocr_temp_data[matId] = []
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self.ocr_temp_data[matId].extend(datas)
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if maxIndex == index:
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# 数据传输完成
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datas = self.ocr_temp_data[matId]
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if rows * cols == len(datas):
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self.ocr_temp_data.pop(matId)
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mat = cv2.numpy.zeros((rows, cols, 1), cv2.numpy.uint8)
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for r in range(0, rows):
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for c in range(0, cols):
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mat[r][c] = [datas[r * cols + c]]
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# cv2.imwrite("D:/test.png", mat)
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ocr_results = ocr_util.OcrUtil.ocr_with_key(mat, ".")
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code_name = ""
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for res in ocr_results:
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code_name += res[0]
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# TODO 根据代码名称获取代码
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code = ths_industry_util.get_code_by_name(code_name)
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# 图像识别
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return_str = json.dumps({"code": 0, "data": {"code": code}})
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else:
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return_str = json.dumps({"code": 2, "msg": "数据出错"})
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else:
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return_str = json.dumps({"code": 1, "msg": "数据尚未上传完"})
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except Exception as e:
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logging.exception(e)
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if str(e).__contains__("json解析失败"):
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logging.error("OCR数据JSON解析解析失败")
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return_str = json.dumps({"code": -1, "msg": str(e)})
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return return_str
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def __send_response(self, data):
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# 发给请求客户端的响应数据
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self.send_response(200)
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self.send_header('Content-type', 'application/json')
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self.end_headers()
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self.wfile.write(data.encode())
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def __parse_request(self):
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params = {}
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datas = self.rfile.read(int(self.headers['content-length']))
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_str = str(datas, encoding="gbk")
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# print(_str)
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start = 0
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while True:
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start = _str.find("Content-Disposition: form-data;", start + 1)
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if start <= 0:
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break
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name_start = start + len("Content-Disposition: form-data;")
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name_end = _str.find("\r\n\r\n", start)
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val_end = _str.find("------", name_end)
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key = _str[name_start:name_end].strip()[6:-1]
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val = _str[name_end:val_end].strip()
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params[key] = val
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return params
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def run(addr, port):
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handler = OCRServer
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httpd = socketserver.TCPServer((addr, port), handler)
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print("HTTP server is at: http://%s:%d/" % (addr, port))
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httpd.serve_forever()
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