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refactor: cleanup

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This commit is contained in:
Florian Hönicke
2023-05-10 01:02:12 +02:00
parent 8c37158c02
commit b0e6b85ce5
2 changed files with 23 additions and 15 deletions
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2
dev_gpt/options/generate/pm/pm.py
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@@ -60,7 +60,7 @@ Description of the microservice:
context, context,
microservice_description, microservice_description,
condition_question='Does the microservice send requests to an API?', condition_question='Does the microservice send requests to an API?',
question_gen='Generate a question that asks for the endpoint and an example of a request and response when interacting with the api.', question_gen='Generate a question that asks for the endpoint and an example of a request and response when interacting with the external API.',
extension_name='Example of API usage', extension_name='Example of API usage',
) )
# database missing # database missing

36
test/integration/test_generator.py
View File

@@ -70,7 +70,7 @@ def test_generation_level_2(microservice_dir, mock_input_sequence):
) )
assert generator.generate() == 0 assert generator.generate() == 0
@pytest.mark.parametrize('mock_input_sequence', [['y']], indirect=True) @pytest.mark.parametrize('mock_input_sequence', [['y', 'yfinance.Ticker("MSFT").info']], indirect=True)
def test_generation_level_3(microservice_dir, mock_input_sequence): def test_generation_level_3(microservice_dir, mock_input_sequence):
""" """
Requirements: Requirements:
@@ -95,7 +95,27 @@ Example input: 'AAPL'
) )
assert generator.generate() == 0 assert generator.generate() == 0
@pytest.mark.parametrize('mock_input_sequence', [['y', 'https://www.signalogic.com/melp/EngSamples/Orig/ENG_M.wav']], indirect=True) @pytest.mark.parametrize(
'mock_input_sequence', [
[
'y',
'https://www.signalogic.com/melp/EngSamples/Orig/ENG_M.wav',
'''\
import requests
url = "https://transcribe.whisperapi.com"
headers = {{
'Authorization': 'Bearer {os.environ['WHISPER_API_KEY']}'
}}
data = {{
"url": "URL_OF_STORED_AUDIO_FILE"
}}
response = requests.post(url, headers=headers, data=data)
assert response.status_code == 200
print('This is the text from the audio file:', response.json()['text'])'''
]
],
indirect=True
)
def test_generation_level_4(microservice_dir, mock_input_sequence): def test_generation_level_4(microservice_dir, mock_input_sequence):
""" """
Requirements: Requirements:
@@ -110,18 +130,6 @@ def test_generation_level_4(microservice_dir, mock_input_sequence):
generator = Generator( generator = Generator(
f'''Given an audio file (1min wav) of speech, f'''Given an audio file (1min wav) of speech,
1. convert it to text using the Whisper API. 1. convert it to text using the Whisper API.
Here is the documentation on how to use the API:
import requests
url = "https://transcribe.whisperapi.com"
headers = {{
'Authorization': 'Bearer {os.environ['WHISPER_API_KEY']}'
}}
data = {{
"url": "URL_OF_STORED_AUDIO_FILE"
}}
response = requests.post(url, headers=headers, data=data)
assert response.status_code == 200
print('This is the text from the audio file:', response.json()['text'])
2. Summarize the text (~50 words) while still maintaining the key facts. 2. Summarize the text (~50 words) while still maintaining the key facts.
3. Create an audio file of the summarized text using a tts library. 3. Create an audio file of the summarized text using a tts library.
4. Return the the audio file as base64 encoded binary. 4. Return the the audio file as base64 encoded binary.