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➕ refactor: summarize error message without line number

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This commit is contained in:
Florian Hönicke
2023-06-05 18:41:45 +02:00
parent cd408ccefd
commit 530ed3733e
7 changed files with 125 additions and 33 deletions
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16
test/unit/test_tools.py
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@@ -14,9 +14,7 @@ def test_no_search():
tool_lines = get_available_tools().split('\n')
assert len(tool_lines) == 1
def test_get_used_apis(tmpdir):
os.environ['VERBOSE'] = 'true'
GPTSession(os.path.join(str(tmpdir), 'log.json'), model='gpt-3.5-turbo')
def test_get_used_apis(init_gpt):
used_apis = PM.get_used_apis('''\
This microservice listens for incoming requests and generates a fixed output of "test" upon receiving a request. \
The response sent back to the requester includes the output as a string parameter. \
@@ -24,9 +22,7 @@ No specific request parameters are required, and the response always follows a f
)
assert used_apis == []
def test_get_used_apis_2(tmpdir):
os.environ['VERBOSE'] = 'true'
GPTSession(os.path.join(str(tmpdir), 'log.json'), model='gpt-3.5-turbo')
def test_get_used_apis_2(init_gpt):
description = '''\
This microservice accepts a 1-minute WAV audio file of speech, encoded as a base64 binary string, and performs the following tasks:
@@ -39,9 +35,7 @@ The microservice returns the summarized text converted to audio and encoded as a
used_apis = PM.get_used_apis(description)
assert used_apis == ['Whisper API', 'gpt_3_5_turbo', 'text-to-speech (TTS) library']
def test_get_used_apis_3(tmpdir):
os.environ['VERBOSE'] = 'true'
GPTSession(os.path.join(str(tmpdir), 'log.json'), model='gpt-3.5-turbo')
def test_get_used_apis_3(init_gpt):
description = '''\
This microservice takes a PDF file as input and returns a summarized text output. \
It uses PDF parsing and natural language processing tools to generate the summary, \
@@ -51,9 +45,7 @@ and the output parameter is the summarized text.'''
used_apis = PM.get_used_apis(description)
assert used_apis == []
def test_get_used_apis_4(tmpdir):
os.environ['VERBOSE'] = 'true'
GPTSession(os.path.join(str(tmpdir), 'log.json'), model='gpt-3.5-turbo')
def test_get_used_apis_4(init_gpt):
description = '''\
This microservice receives a tweet as input \
and identifies passive aggressive language using natural language processing techniques. \