fix: fix bring back the test description for func generation

This commit is contained in:
Florian Hönicke
2023-05-26 12:49:46 +02:00
parent 3e25d89c57
commit df7e6f41cb
6 changed files with 42 additions and 17 deletions

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@@ -72,8 +72,8 @@ you need to set the GOOGLE_API_KEY and GOOGLE_CSE_ID environment variables.
More information can be found [here](https://developers.google.com/custom-search/v1/overview). More information can be found [here](https://developers.google.com/custom-search/v1/overview).
```bash ```bash
dev-gpt configure --openai_api_key <your openai api key> dev-gpt configure --openai_api_key <your openai api key>
dev-gpt configure --google_api_key <google api key> (optional if you want to use google search) dev-gpt configure --google_api_key <google api key> (optional if you want to use google custom search)
dev-gpt configure --google_cse_id <google cse id> (optional if you want to use google search) dev-gpt configure --google_cse_id <google cse id> (optional if you want to use google custom search)
``` ```
If you set the environment variable `OPENAI_API_KEY`, the configuration step can be skipped. If you set the environment variable `OPENAI_API_KEY`, the configuration step can be skipped.

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@@ -39,10 +39,10 @@ Note: the output must be a list of tasks the Microservice has to perform.
Note: you must uses the following tools if necessary: Note: you must uses the following tools if necessary:
{get_available_tools()} {get_available_tools()}
Example for the description: "return an image representing the current weather for a given location." \ Example for the description: "return an image representing the current weather for a given location." \
when the tools gpt-3.5-turbo and google-search are available: when the tools gpt_3_5_turbo and google_custom_search are available:
1. get the current weather information from the https://openweathermap.org/ API 1. get the current weather information from the https://openweathermap.org/ API
2. generate a Google search query to find the image matching the weather information and the location by using gpt-3.5-turbo (a) 2. generate a Google search query to find the image matching the weather information and the location by using gpt_3_5_turbo (a)
3. find the image by using the Google search API (b) 3. find the image by using the google_custom_search (b)
4. return the image as a base64 encoded string''' 4. return the image as a base64 encoded string'''
generate_request_schema_prompt = '''{context_string} generate_request_schema_prompt = '''{context_string}
@@ -59,5 +59,5 @@ Write an updated microservice description by incorporating information about the
Note: You must not mention any details about algorithms or the technical implementation. Note: You must not mention any details about algorithms or the technical implementation.
Note: You must not mention that there is a request and response JSON schema Note: You must not mention that there is a request and response JSON schema
Note: You must not use any formatting like triple backticks. Note: You must not use any formatting like triple backticks.
Note: If Google Custom Search or gpt-3.5-turbo is mentioned in the description, then you must mention them in the updated description as well. Note: If google_custom_search or gpt_3_5_turbo is mentioned in the description, then you must mention them in the updated description as well.
Note: If an external API besides Google Custom Search and gpt-3.5-turbo is mentioned in the description, then you must mention the API in the updated description as well.''' Note: If an external API besides google_custom_search and gpt_3_5_turbo is mentioned in the description, then you must mention the API in the updated description as well.'''

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@@ -523,15 +523,19 @@ pytest
file_name_s=['strategies.json'], file_name_s=['strategies.json'],
description=self.microservice_specification.task description=self.microservice_specification.task
)['strategies.json'] )['strategies.json']
packages_list = [[pkg.strip().lower() for pkg in packages] for packages in json.loads(packages_json_string)] packages_list = self.process_packages_json_string(packages_json_string)
packages_list = [[self.replace_with_tool_if_possible(pkg) for pkg in packages] for packages in
packages_list]
packages_list = self.filter_packages_list(packages_list)
packages_list = self.remove_duplicates_from_packages_list(packages_list)
packages_list = packages_list[:NUM_IMPLEMENTATION_STRATEGIES]
return packages_list return packages_list
@staticmethod
def process_packages_json_string(packages_json_string):
packages_list = [[pkg.strip().lower().replace('-', '_') for pkg in packages] for packages in json.loads(packages_json_string)]
packages_list = [[Generator.replace_with_tool_if_possible(pkg) for pkg in packages] for packages in
packages_list]
packages_list = Generator.filter_packages_list(packages_list)
packages_list = Generator.remove_duplicates_from_packages_list(packages_list)
packages_list = packages_list[:NUM_IMPLEMENTATION_STRATEGIES]
return packages_list
def generate(self): def generate(self):
os.makedirs(self.microservice_root_path) os.makedirs(self.microservice_root_path)
@@ -592,6 +596,7 @@ You can now run or deploy your microservice:
and ( # all packages must be on pypi or it is gpt_3_5_turbo and ( # all packages must be on pypi or it is gpt_3_5_turbo
is_package_on_pypi(package) is_package_on_pypi(package)
or package == 'gpt_3_5_turbo' or package == 'gpt_3_5_turbo'
or package == 'google_custom_search'
) )
] for packages in packages_list ] for packages in packages_list
] ]

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@@ -66,7 +66,7 @@ Description of the microservice:
'Microservice description': microservice_description, 'Microservice description': microservice_description,
}, },
condition_question='''\ condition_question='''\
Does the microservice send requests to an API beside the Google Custom Search API and gpt-3.5-turbo?''', Does the microservice send requests to an API beside the google_custom_search and gpt_3_5_turbo?''',
question_gen='Generate a question that asks for the endpoint of the external API and an example of a request and response when interacting with the external API.', question_gen='Generate a question that asks for the endpoint of the external API 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',
post_transformation_fn=translation(from_format='api instruction', to_format='python code snippet raw without formatting') post_transformation_fn=translation(from_format='api instruction', to_format='python code snippet raw without formatting')

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@@ -2,8 +2,8 @@ import os
def get_available_tools(): def get_available_tools():
tools = ['gpt-3.5-turbo (for any kind of text processing like summarization, paraphrasing, etc.)'] tools = ['gpt_3_5_turbo (for any kind of text processing like summarization, paraphrasing, etc.)']
if os.environ.get('GOOGLE_API_KEY') and os.environ.get('GOOGLE_CSE_ID'): if os.environ.get('GOOGLE_API_KEY') and os.environ.get('GOOGLE_CSE_ID'):
tools.append('Google Custom Search') tools.append('google_custom_search (for retrieving images or textual information from google')
chars = 'abcdefghijklmnopqrstuvwxyz' chars = 'abcdefghijklmnopqrstuvwxyz'
return '\n'.join([f'{char}) {tool}' for tool, char in zip(tools, chars)]) return '\n'.join([f'{char}) {tool}' for tool, char in zip(tools, chars)])

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@@ -0,0 +1,20 @@
from dev_gpt.options.generate.generator import Generator
def test_package_parsing():
packages_json_string = '''\
[
["PyPDF2", "gpt_3_5_turbo"],
["pdfminer.six", "gpt_3_5_turbo"],
["tika", "gpt_3_5_turbo"],
[],
["gpt_3_5_turbo"]
]'''
parsed_packages = Generator.process_packages_json_string(packages_json_string)
for parsed, expected in zip(parsed_packages, [
['pypdf2', 'gpt_3_5_turbo'],
['pdfminer.six', 'gpt_3_5_turbo'],
[],
['gpt_3_5_turbo'],
]):
assert set(parsed) == set(expected)