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Update test_main.py
Browse files- test_main.py +5 -5
test_main.py
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@@ -10,20 +10,20 @@ def test_welcome():
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# Test the welcome endpoint
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response = client.get("/")
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assert response.status_code == 200
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assert response.json() == "
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# Test the sentiment analysis endpoint for positive sentiment
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def test_positive_sentiment():
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with client:
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# Define the request payload
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# Initialize payload as a TextInput object
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payload = TextInput(text="I love
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# Convert TextInput object to JSON-serializable dictionary
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payload_dict = jsonable_encoder(payload)
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# Send a POST request to the sentiment analysis endpoint
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response = client.post("/
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# Assert that the response status code is 200 OK
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assert response.status_code == 200
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@@ -36,13 +36,13 @@ def test_negative_sentiment():
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with client:
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# Define the request payload
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# Initialize payload as a TextInput object
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payload = TextInput(text="I'm
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# Convert TextInput object to JSON-serializable dictionary
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payload_dict = jsonable_encoder(payload)
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# Send a POST request to the sentiment analysis endpoint
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response = client.post("/
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# Assert that the response status code is 200 OK
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assert response.status_code == 200
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# Test the welcome endpoint
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response = client.get("/")
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assert response.status_code == 200
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assert response.json() == "Text Classification API"
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# Test the sentiment analysis endpoint for positive sentiment
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def test_positive_sentiment():
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with client:
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# Define the request payload
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# Initialize payload as a TextInput object
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payload = TextInput(text="I love to watch horror and Si-Fi movies! It's amazing!")
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# Convert TextInput object to JSON-serializable dictionary
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payload_dict = jsonable_encoder(payload)
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# Send a POST request to the sentiment analysis endpoint
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response = client.post("/input/{text}", json=payload_dict)
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# Assert that the response status code is 200 OK
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assert response.status_code == 200
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with client:
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# Define the request payload
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# Initialize payload as a TextInput object
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payload = TextInput(text="I'm not satisfied by this movie. It's terrible.")
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# Convert TextInput object to JSON-serializable dictionary
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payload_dict = jsonable_encoder(payload)
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# Send a POST request to the sentiment analysis endpoint
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response = client.post("/input/{text}", json=payload_dict)
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# Assert that the response status code is 200 OK
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assert response.status_code == 200
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