VerificationCode/interface/captcha_interface.py

import base64
import json
import logging
import os
import sys
import time
import traceback
from glob import glob
import numpy as np
import cv2

sys.path.append(os.path.dirname(os.path.abspath(__file__)) + "/../")
from flask import Flask, request
from utils import request_post, bytes2np, np2bytes

logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(name)s - %(levelname)s - %(message)s')


bdr_url = "http://127.0.0.1:17055/bdr"
chd_url = "http://127.0.0.1:17056/chd"
chr_url = "http://127.0.0.1:17057/chr"
cho_url = "http://127.0.0.1:17058/cho"
pzd_url = "http://127.0.0.1:17059/pzd"
captcha_url = "http://127.0.0.1:17054/captcha"


# 接口配置
app = Flask(__name__)


@app.route('/captcha', methods=['POST'])
def captcha():
    start_time = time.time()
    logging.info("into captcha_interface captcha")
    try:
        # 接收网络数据
        if not request.form:
            logging.info("captcha no data!")
            return json.dumps({"success": False, "cost": time.time()-start_time})
        base64_data = request.form.get("base64pic")
        base64_data2 = request.form.get("base64pic2")
        code = int(request.form.get("code"))
        logging.info("code " + str(code))
        logging.info("captcha_interface get data time" + str(time.time()-start_time))

        if base64_data2 is None:
            result = get_captcha_result([base64_data], code)
        else:
            result = get_captcha_result([base64_data, base64_data2], code)

        if result is None:
            return json.dumps({"success": False, "cost": time.time()-start_time})
        return json.dumps({"predict": result, "success": True, "cost": time.time()-start_time})
    except:
        traceback.print_exc()
        return json.dumps({"success": False, "cost": time.time()-start_time})
    finally:
        logging.info("captcha interface finish time " + str(time.time()-start_time))


def get_captcha_result(base64_list, code):
    """
    验证码类型：
    1:  拖拽还原拼图
    2:  拖拽还原图片
    3:  点击中文(带提示)
    4:  点击中文(按语序)
    5:

    :param base64_list: base64格式图片列表
    :param code: 验证码类型
    :return:
    """
    if code == 1:
        result = json.loads(request_post(pzd_url, prepare_data(base64_list[0], "pzd")))
        if result.get("success"):
            predict = result.get("data")
            logging.info("code " + str(code) + "  pzd  " + "predict " + str(predict))
            return predict

    elif code == 2:
        result = json.loads(request_post(bdr_url, prepare_data(base64_list[0], "bdr")))
        if result.get("success"):
            predict = result.get("data")
            logging.info("code " + str(code) + "  bdr  " + "predict " + str(predict))
            return predict

    elif code == 3:
        # detect tips
        result = json.loads(request_post(chd_url, prepare_data(base64_list[1], "chd2")))
        if result.get("success"):
            box_list_tips = result.get("data")
        else:
            return None
        logging.info("code " + str(code) + "  chd2  " + "predict " + str(box_list_tips))
        # recognize tips
        result = json.loads(request_post(chr_url, prepare_data([base64_list[1], box_list_tips], "chr")))
        if result.get("success"):
            char_list_tips = result.get("data")
        else:
            return None
        logging.info("code " + str(code) + "  chr  " + "predict " + str(char_list_tips))
        if len(char_list_tips) != len(box_list_tips):
            return None

        # detect
        result = json.loads(request_post(chd_url, prepare_data(base64_list[0], "chd")))
        if result.get("success"):
            box_list = result.get("data")
        else:
            return None
        logging.info("code " + str(code) + "  chd  " + "predict " + str(box_list))
        # recognize
        result = json.loads(request_post(chr_url, prepare_data([base64_list[0], box_list], "chr")))
        if result.get("success"):
            char_list = result.get("data")
        else:
            return None
        logging.info("code " + str(code) + "  chr  " + "predict " + str(char_list))
        if len(char_list) != len(box_list):
            return None
        for c in char_list_tips:
            if c not in char_list:
                return None

        _dict = {char_list[i]: box_list[i] for i in range(len(box_list))}
        predict = [_dict.get(x) for x in char_list_tips]
        return predict

    elif code == 4:
        # detect
        result = json.loads(request_post(chd_url, prepare_data(base64_list[0], "chd")))
        if result.get("success"):
            box_list = result.get("data")
        else:
            return None
        logging.info("code " + str(code) + "  chd  " + "predict " + str(box_list))

        # recognize
        result = json.loads(request_post(chr_url, prepare_data([base64_list[0], box_list], "chr")))
        if result.get("success"):
            char_list = result.get("data")
        else:
            return None
        logging.info("code " + str(code) + "  chr  " + "predict " + str(char_list))
        if len(char_list) != len(box_list):
            return None

        # order
        result = json.loads(request_post(cho_url, prepare_data(char_list, "cho")))
        if result.get("success"):
            ordered_char_list = result.get("data")
        else:
            return None
        logging.info("code " + str(code) + "  cho  " + "predict " + str(ordered_char_list))

        _dict = {char_list[i]: box_list[i] for i in range(len(box_list))}
        predict = [_dict.get(x) for x in ordered_char_list]
        return predict

    return None


def prepare_data(data, _type):
    if _type in ['pzd', 'bdr', 'chd']:
        return {"data": data}

    elif _type in ['chd2']:
        return {"data": data, "tips": 1}

    elif _type in ['chr']:
        image_base64 = data[0]
        box_list = data[1]
        image_bytes = base64.b64decode(image_base64)
        image_np = bytes2np(image_bytes)
        str_list = []
        for box in box_list:
            file_bytes = np2bytes(image_np[box[1]:box[3], box[0]:box[2], :])
            file_base64 = base64.b64encode(file_bytes)
            file_str = file_base64.decode("utf-8")
            str_list.append(file_str)
        return {"data": json.dumps(str_list)}

    elif _type in ['cho']:
        return {"data": json.dumps(data)}

    else:
        raise


def test_interface(from_remote=True):
    captcha_url = "http://192.168.2.103:17054/captcha"
    paths = glob("../dev/click_captcha/data/test/yolo_1.jpg")
    for file_path in paths:
        img_np = cv2.imread(file_path)
        file_bytes = np2bytes(img_np)
        file_base64 = base64.b64encode(file_bytes)
        code = 3

        if from_remote:
            if code in [1, 4]:
                file_json = {"base64pic": file_base64, "code": code}
                result = json.loads(request_post(captcha_url, file_json))
                print("result", result)
                if result.get("success"):
                    out_boxes = result.get("predict")
                    print("out_boxes", out_boxes)
                    for box in out_boxes:
                        cv2.rectangle(img_np, (box[0], box[1]), (box[2], box[3]), (0, 0, 255))
                    cv2.imshow("img_np", img_np)
                    cv2.waitKey(0)
                else:
                    print("failed!")
            elif code in [2]:
                file_json = {"base64pic": file_base64, "code": code}
                result = json.loads(request_post(captcha_url, file_json))
                print("result", result)
                if result.get("success"):
                    w = int(result.get("predict"))
                    print("w", w)
                    img_new = np.concatenate([img_np[:, w:, :], img_np[:, :w, :]], axis=1)
                    cv2.imshow("img_np", img_np)
                    cv2.imshow("img_new", img_new)
                    cv2.waitKey(0)
                else:
                    print("failed!")
            elif code in [3]:
                file_base64_2 = cv2.imread("../dev/click_captcha/data/test/yolo_3.jpg")
                cv2.imshow("file_base64_2", file_base64_2)
                cv2.waitKey(0)
                file_base64_2 = np2bytes(file_base64_2)
                file_base64_2 = base64.b64encode(file_base64_2)
                file_json = {"base64pic": file_base64, "base64pic2": file_base64_2, "code": code}
                result = json.loads(request_post(captcha_url, file_json))
                print("result", result)
                if result.get("success"):
                    out_boxes = result.get("predict")
                    print("out_boxes", out_boxes)
                    for box in out_boxes:
                        cv2.rectangle(img_np, (box[0], box[1]), (box[2], box[3]), (0, 0, 255))
                    cv2.imshow("img_np", img_np)
                    cv2.waitKey(0)
                else:
                    print("failed!")


if __name__ == "__main__":
    # app.run(host='127.0.0.1', port=17054, debug=False)
    test_interface()