Files
gpt_academic/autogpt/config/prompt_config.py
2023-05-30 15:48:14 +08:00

54 lines
1.9 KiB
Python

# sourcery skip: do-not-use-staticmethod
"""
A module that contains the PromptConfig class object that contains the configuration
"""
import yaml
from colorama import Fore
from autogpt import utils
from autogpt.config.config import Config
from autogpt.logs import logger
CFG = Config()
class PromptConfig:
"""
A class object that contains the configuration information for the prompt, which will be used by the prompt generator
Attributes:
constraints (list): Constraints list for the prompt generator.
resources (list): Resources list for the prompt generator.
performance_evaluations (list): Performance evaluation list for the prompt generator.
"""
def __init__(
self,
config_file: str = CFG.prompt_settings_file,
) -> None:
"""
Initialize a class instance with parameters (constraints, resources, performance_evaluations) loaded from
yaml file if yaml file exists,
else raises error.
Parameters:
constraints (list): Constraints list for the prompt generator.
resources (list): Resources list for the prompt generator.
performance_evaluations (list): Performance evaluation list for the prompt generator.
Returns:
None
"""
# Validate file
(validated, message) = utils.validate_yaml_file(config_file)
if not validated:
logger.typewriter_log("FAILED FILE VALIDATION", Fore.RED, message)
logger.double_check()
exit(1)
with open(config_file, encoding="utf-8") as file:
config_params = yaml.load(file, Loader=yaml.FullLoader)
self.constraints = config_params.get("constraints", [])
self.resources = config_params.get("resources", [])
self.performance_evaluations = config_params.get("performance_evaluations", [])