llama.cpp/llama_cpp/server/cli.py
2024-01-19 08:17:49 -05:00

97 lines
3.2 KiB
Python

from __future__ import annotations
import argparse
from typing import List, Literal, Union, Any, Type, TypeVar
from pydantic import BaseModel
def _get_base_type(annotation: Type[Any]) -> Type[Any]:
if getattr(annotation, "__origin__", None) is Literal:
assert hasattr(annotation, "__args__") and len(annotation.__args__) >= 1 # type: ignore
return type(annotation.__args__[0]) # type: ignore
elif getattr(annotation, "__origin__", None) is Union:
assert hasattr(annotation, "__args__") and len(annotation.__args__) >= 1 # type: ignore
non_optional_args: List[Type[Any]] = [
arg for arg in annotation.__args__ if arg is not type(None) # type: ignore
]
if non_optional_args:
return _get_base_type(non_optional_args[0])
elif (
getattr(annotation, "__origin__", None) is list
or getattr(annotation, "__origin__", None) is List
):
assert hasattr(annotation, "__args__") and len(annotation.__args__) >= 1 # type: ignore
return _get_base_type(annotation.__args__[0]) # type: ignore
return annotation
def _contains_list_type(annotation: Type[Any] | None) -> bool:
origin = getattr(annotation, "__origin__", None)
if origin is list or origin is List:
return True
elif origin in (Literal, Union):
return any(_contains_list_type(arg) for arg in annotation.__args__) # type: ignore
else:
return False
def _parse_bool_arg(arg: str | bytes | bool) -> bool:
if isinstance(arg, bytes):
arg = arg.decode("utf-8")
true_values = {"1", "on", "t", "true", "y", "yes"}
false_values = {"0", "off", "f", "false", "n", "no"}
arg_str = str(arg).lower().strip()
if arg_str in true_values:
return True
elif arg_str in false_values:
return False
else:
raise ValueError(f"Invalid boolean argument: {arg}")
def add_args_from_model(parser: argparse.ArgumentParser, model: Type[BaseModel]):
"""Add arguments from a pydantic model to an argparse parser."""
for name, field in model.model_fields.items():
description = field.description
if field.default and description and not field.is_required():
description += f" (default: {field.default})"
base_type = (
_get_base_type(field.annotation) if field.annotation is not None else str
)
list_type = _contains_list_type(field.annotation)
if base_type is not bool:
parser.add_argument(
f"--{name}",
dest=name,
nargs="*" if list_type else None,
type=base_type,
help=description,
)
if base_type is bool:
parser.add_argument(
f"--{name}",
dest=name,
type=_parse_bool_arg,
help=f"{description}",
)
T = TypeVar("T", bound=Type[BaseModel])
def parse_model_from_args(model: T, args: argparse.Namespace) -> T:
"""Parse a pydantic model from an argparse namespace."""
return model(
**{
k: v
for k, v in vars(args).items()
if v is not None and k in model.model_fields
}
)