get_request updated

server/djangoapp/restapis.py

@@ -11,20 +11,24 @@ def get_request(url, **kwargs):
     print(kwargs)
     print("GET from {} ".format(url))
     try:
-        # headers = {'Content-Type': 'application/json'}
-        # Call get method of requests library with URL and parameters
-        # params=kwargs
-        response = requests.get(url, headers={'Content-Type': 'application/json'},
-                                    params=kwargs)
-        # if api_key:
-        #     response = requests.get(url, params=params, headers={'Content-Type': 'application/json'},
-        #                                 auth=HTTPBasicAuth('apikey', api_key))
-        # else:
-        #     request.get(url, headers=headers, params=kwargs)                               
-    except:
-        # If any error occurs
+        if 'api' in kwargs:
+            response = requests.get(url, params=kwargs, headers={'Content-Type': 'application/json'},
+                                     auth=HTTPBasicAuth('apikey', api_key))
+            print(response,'api')
+        elif kwargs:
+            response = requests.get(
+                url, headers={'Content-Type': 'application/json'}, params=kwargs)
+            print(params,"second")
+        else:
+            response = requests.get(
+                url, headers={'Content-Type': 'application/json'})
+            print('third')
+
+    except Exception as e:
+
         print("Network exception occurred")
-    status_code = response.status_code
+
+    status_code=response.status_code
     print("With status {} ".format(status_code))
     json_data = json.loads(response.text)
     return json_data
@@ -113,6 +117,7 @@ def get_dealer_reviews_from_cf(url, **kwargs):
                 sentiment='',
                 id=review.get("id", "")
             )
+            review_obj.sentiment = analyze_review_sentiments(review_obj.review)
             results.append(review_obj)
 
 
@@ -123,23 +128,16 @@ def get_dealer_reviews_from_cf(url, **kwargs):
 # def analyze_review_sentiments(text):
 # - Call get_request() with specified arguments
 # - Get the returned sentiment label such as Positive or Negative
-def analyze_review_sentiments(dealerreview):
-    url = "https://api.us-east.natural-language-understanding.watson.cloud.ibm.com/instances/9de934ca-8c19-41c3-9897-0fb787b8b736"
-    api_key = "bGzxfI_dfm53PLexIyD2rBMlLwLy1r5s1fEOLgvRd0g4"  # Replace with your IBM Watson Natural Language Understanding API key
-    version = "2021-03-25"  # Replace with the desired version
-
-    params = {
-        "text": dealerreview.review,
-        "version": version,
-        "features": "sentiment",
-        "return_analyzed_text": True
-    }
-
-    response = get_request(url, params=params, api_key=api_key)
-
-    if response and 'sentiment' in response:
-        sentiment = response['sentiment']['document']['label']
-        return sentiment
-    else:
-        return None
+def analyze_review_sentiments(dealer_review):
+    API_KEY = "bGzxfI_dfm53PLexIyD2rBMlLwLy1r5s1fEOLgvRd0g4"
+    NLU_URL = 'https://api.us-east.natural-language-understanding.watson.cloud.ibm.com/instances/9de934ca-8c19-41c3-9897-0fb787b8b736'
+    authenticator = IAMAuthenticator(API_KEY)
+    natural_language_understanding = NaturalLanguageUnderstandingV1(
+        version='2021-08-01', authenticator=authenticator)
+    natural_language_understanding.set_service_url(NLU_URL)
+    response = natural_language_understanding.analyze(text=dealer_review,language='en', features=Features(
+        sentiment=SentimentOptions(targets=[dealer_review]))).get_result()
+    label = json.dumps(response, indent=2)
+    label = response['sentiment']['document']['label']
+    return(label)
 

server/djangoapp/views.py

@@ -113,7 +113,8 @@ def get_dealer_details(request, dealer_id):
         # Concat all review's name
         review_names = ' '.join([review.sentiment for review in reviews])
         # Return a list of dealer short name
-        return HttpResponse(reviews)
+        print(review_names)
+        return HttpResponse(review_names)