121 lines
3.3 KiB
Python
121 lines
3.3 KiB
Python
import time
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from datetime import datetime
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from requests.structures import CaseInsensitiveDict
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import os,base64
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import threading
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import json
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import pandas as pd
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import requests
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import cv2
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# 寫進WEBAPI
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#request_url = "https://localhost:7205"
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request_url = "http://211.22.135.143:7500"
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class Restful_api():
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def __init__(self, Fun, headers, *args):
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self.headers = headers
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self.Fun = Fun
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def post(self, data):
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data_json = json.dumps(data)
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response = requests.post(request_url + self.Fun, data=data_json, headers=self.headers, verify=False)
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return response
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def get(self):
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response = requests.get(request_url + self.Fun, headers=self.headers, verify=False)
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if response.status_code == 200:
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data = response.json()
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df = pd.DataFrame.from_records(data)
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return df
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else:
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return
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def put(self,data):
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data_json = json.dumps(data)
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response = requests.put(request_url + self.Fun, data=data_json, headers=self.headers, verify=False)
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return response
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def delete(self):
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response = requests.delete(request_url + self.Fun, headers=self.headers, verify=False)
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return response
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def getSingleData(self):
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response = requests.get(request_url + self.Fun, headers=self.headers, verify=False)
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if response.status_code == 200:
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data = response.json()
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df = pd.DataFrame.from_records(data, index=[0])
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return df
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else:
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return
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class Tongue_api():
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def post_new_data(self,data):
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API = "/api/Tongue_analysis_tw_1"
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headers = {'Content-type': 'application/json'}
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response =Restful_api(API, headers).post(data)
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return response
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def check_data(self,img_name):
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API = "/api/Tongue_analysis_detail/img_name-"+img_name
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headers = CaseInsensitiveDict();
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headers['Accept'] = 'application/json'
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data = Restful_api(API, headers).get()
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return data
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def get_data(self,img_name):
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API = "/api/Tongue_analysis_detail/" + img_name
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headers = CaseInsensitiveDict();
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headers['Accept'] = 'application/json'
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data = Restful_api(API, headers).getSingleData()
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return data
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#圖片 轉 base64
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def img_to_base64(image):
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if image is None:
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return "None"
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_, buffer = cv2.imencode('.jpg', image)
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data = base64.b64encode(buffer).decode('utf-8')
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data = "data:image/jpeg;base64," + data
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return data
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img = cv2.imread("img.jpg") # 讀取圖片
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img_base64 = img_to_base64(img) # 轉base64
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# 圖片名稱定義
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img_name = f'1{datetime.now().strftime("%Y%m%d%H%M%S")}'
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print(img_name)
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# 上傳資料整理
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up_load_data = {
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"img_name": img_name,
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"test_id": "1",
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"test_analyst": " ",
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"test_time": " ",
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"test_date": " ",
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"img": img_base64,
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"data_creat_time": "2023-01-11T12:53:25.381Z",
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}
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API = Tongue_api()
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# 上傳資料
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res = API.post_new_data(up_load_data)
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if res.status_code >= 200 and res.status_code < 300:
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# 等待運算結果
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while True:
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data = API.check_data(f'{img_name}.jpg')
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if len(data)>0:
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print(data)
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break
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time.sleep(0.5)
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# 確認運算資料
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img_data = API.get_data(f'{img_name}.jpg')
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print(img_data)
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