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manifest/manifest/clients/client.py

101 lines
2.6 KiB
Python

"""Client class."""
from abc import ABC, abstractmethod
from typing import Any, Callable, Dict, List, Optional, Tuple
class Client(ABC):
"""Client class."""
def __init__(
self, connection_str: Optional[str] = None, client_args: Dict[str, Any] = {}
):
"""
Initialize client.
kwargs are passed to client as default parameters.
For clients like OpenAI that do not require a connection,
the connection_str can be None.
Args:
connection_str: connection string for client.
client_args: client arguments.
"""
self.connect(connection_str, client_args)
@abstractmethod
def close(self) -> None:
"""Close the client."""
raise NotImplementedError()
@abstractmethod
def get_model_params(self) -> Dict:
"""
Get model params.
By getting model params from the server, we can add to request
and make sure cache keys are unique to model.
Returns:
model params.
"""
raise NotImplementedError()
@abstractmethod
def get_model_inputs(self) -> List:
"""
Get allowable model inputs.
Returns:
model inputs.
"""
raise NotImplementedError()
@abstractmethod
def connect(self, connection_str: str, client_args: Dict[str, Any]) -> None:
"""
Connect to client.
Args:
connection_str: connection string.
"""
raise NotImplementedError()
@abstractmethod
def get_request(
self, query: str, request_args: Dict[str, Any] = {}
) -> Tuple[Callable[[], Dict], Dict]:
"""
Get request function.
kwargs override default parameters.
Calling the returned function will run the request.
Args:
query: query string.
request_args: request arguments.
Returns:
request function that takes no input.
request parameters as dict.
"""
raise NotImplementedError()
@abstractmethod
def get_choice_logit_request(
self, query: str, gold_choices: List[str], request_args: Dict[str, Any] = {}
) -> Tuple[Callable[[], Dict], Dict]:
"""
Get request string function for choosing max choices.
Args:
query: query string.
gold_choices: choices for model to choose from via max logits.
Returns:
request function that takes no input.
request parameters as dict.
"""
raise NotImplementedError()