import time
from datetime import datetime
from requests.structures import CaseInsensitiveDict
import os,base64
import threading
import json
import pandas as pd
import requests
import cv2

# 寫進WEBAPI
#request_url = "https://localhost:7205"
request_url = "http://211.22.135.143:7500"
class Restful_api():
    def __init__(self, Fun, headers, *args):
        self.headers = headers
        self.Fun = Fun

    def post(self, data):
        data_json = json.dumps(data)
        response = requests.post(request_url + self.Fun, data=data_json, headers=self.headers, verify=False)
        return response

    def get(self):
        response = requests.get(request_url + self.Fun, headers=self.headers, verify=False)
        if response.status_code == 200:
            data = response.json()
            df = pd.DataFrame.from_records(data)
            return df
        else:
            return

    def put(self,data):
        data_json = json.dumps(data)
        response = requests.put(request_url + self.Fun, data=data_json, headers=self.headers, verify=False)
        return response

    def delete(self):
        response = requests.delete(request_url + self.Fun, headers=self.headers, verify=False)
        return response

    def getSingleData(self):
        response = requests.get(request_url + self.Fun, headers=self.headers, verify=False)
        if response.status_code == 200:
            data = response.json()
            df = pd.DataFrame.from_records(data, index=[0])
            return df
        else:
            return


class Tongue_api():

    def post_new_data(self,data):
        API = "/api/Tongue_analysis_tw_1"
        headers = {'Content-type': 'application/json'}
        response =Restful_api(API, headers).post(data)
        return response

    def check_data(self,img_name):
        API = "/api/Tongue_analysis_detail/img_name-"+img_name
        headers = CaseInsensitiveDict();
        headers['Accept'] = 'application/json'
        data = Restful_api(API, headers).get()
        return data

    def get_data(self,img_name):
        API = "/api/Tongue_analysis_detail/" + img_name
        headers = CaseInsensitiveDict();
        headers['Accept'] = 'application/json'
        data = Restful_api(API, headers).getSingleData()
        return data


#圖片 轉 base64
def img_to_base64(image):
    if image is None:
        return "None"
    _, buffer = cv2.imencode('.jpg', image)
    data = base64.b64encode(buffer).decode('utf-8')
    data = "data:image/jpeg;base64," + data

    return data


img = cv2.imread("img.jpg")  # 讀取圖片
img_base64 = img_to_base64(img) # 轉base64


# 圖片名稱定義
img_name = f'1{datetime.now().strftime("%Y%m%d%H%M%S")}'
print(img_name)

# 上傳資料整理
up_load_data = {
   "img_name": img_name,
   "test_id": "1",
   "test_analyst": " ",
   "test_time": " ",
   "test_date": " ",
   "img": img_base64,
   "data_creat_time": "2023-01-11T12:53:25.381Z",
}
API = Tongue_api()
# 上傳資料
res = API.post_new_data(up_load_data)


if res.status_code >= 200 and res.status_code < 300:
    # 等待運算結果
    while True:
        data = API.check_data(f'{img_name}.jpg')
        if len(data)>0:
            print(data)
            break
        time.sleep(0.5)

# 確認運算資料
img_data = API.get_data(f'{img_name}.jpg')
print(img_data)