img_up

test_1020_api/test_1020.py

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+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)