mirror of
https://github.com/aljazceru/dev-gpt.git
synced 2025-12-21 15:44:19 +01:00
refactor: cleanup
This commit is contained in:
57
dev_gpt/options/generate/chains/auto_refine_description.py
Normal file
57
dev_gpt/options/generate/chains/auto_refine_description.py
Normal file
@@ -0,0 +1,57 @@
|
||||
import json
|
||||
|
||||
from dev_gpt.apis.gpt import ask_gpt
|
||||
from dev_gpt.options.generate.chains.extract_information import extract_information
|
||||
from dev_gpt.options.generate.parser import identity_parser
|
||||
from dev_gpt.options.generate.prompt_factory import context_to_string
|
||||
|
||||
|
||||
|
||||
def auto_refine_description(context):
|
||||
context['microservice_description'] = ask_gpt(
|
||||
better_description_prompt,
|
||||
identity_parser,
|
||||
context_string=context_to_string(context)
|
||||
)
|
||||
context['request_schema'] = ask_gpt(
|
||||
generate_request_schema_prompt,
|
||||
identity_parser,
|
||||
context_string=context_to_string(context)
|
||||
)
|
||||
context['response_schema'] = ask_gpt(
|
||||
generate_output_schema_prompt,
|
||||
identity_parser,
|
||||
context_string=context_to_string(context)
|
||||
)
|
||||
context['microservice_description'] = ask_gpt(
|
||||
summarize_description_and_schemas_prompt,
|
||||
identity_parser,
|
||||
context_string=context_to_string(context)
|
||||
)
|
||||
# details = extract_information(context['microservice_description'], ['database connection details', 'URL', 'secret'])
|
||||
# if details:
|
||||
# context['microservice_description'] += '\n\nAdditional information:' + json.dumps(details, indent=4)
|
||||
# del context['details']
|
||||
|
||||
|
||||
better_description_prompt = f'''{{context_string}}
|
||||
Update the description of the Microservice to make it more precise without adding or removing information.
|
||||
Note: the output must be a list of tasks the Microservice has to perform.
|
||||
Example for the description: "return the average temperature of the 5 days weather forecast for a given location."
|
||||
1. get the 5 days weather forcast from the https://openweathermap.org/ API
|
||||
2. extract the temperature from the response
|
||||
3. calculate the average temperature'''
|
||||
|
||||
generate_request_schema_prompt = '''{context_string}
|
||||
Generate the lean request json schema of the Microservice.
|
||||
Note: If you are not sure about the details, then come up with the minimal number of parameters possible.'''
|
||||
|
||||
generate_output_schema_prompt = '''{context_string}
|
||||
Generate the lean response json schema for the Microservice.
|
||||
Note: If you are not sure about the details, then come up with the minimal number of parameters possible.'''
|
||||
|
||||
summarize_description_and_schemas_prompt = '''{context_string}
|
||||
Write an updated microservice description by incorporating information about the request and response parameters in a concise way without losing any information.
|
||||
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 use any formatting like triple backticks.'''
|
||||
Reference in New Issue
Block a user