tabbyAPI-ollama/common/args.py
kingbri e290b88568 Args: Expose api-servers to subcommands
This is required for the export-openapi action.

Signed-off-by: kingbri <8082010+kingbri1@users.noreply.github.com>
2025-02-10 23:39:46 -05:00

133 lines
4.3 KiB
Python

"""Argparser for overriding config values"""
import argparse
from typing import Optional
from pydantic import BaseModel
from common.config_models import TabbyConfigModel
from common.utils import is_list_type, unwrap, unwrap_optional_type
def add_field_to_group(group, field_name, field_type, field) -> None:
"""
Adds a Pydantic field to an argparse argument group.
"""
kwargs = {
"help": field.description if field.description else "No description available",
}
# If the inner type contains a list, specify argparse as such
if is_list_type(field_type):
kwargs["nargs"] = "+"
group.add_argument(f"--{field_name}", **kwargs)
def init_argparser(
existing_parser: Optional[argparse.ArgumentParser] = None,
) -> argparse.ArgumentParser:
"""
Initializes an argparse parser based on a Pydantic config schema.
If an existing provider is given, use that.
"""
parser = unwrap(
existing_parser, argparse.ArgumentParser(description="TabbyAPI server")
)
add_subcommands(parser)
# Loop through each top-level field in the config
for field_name, field_info in TabbyConfigModel.model_fields.items():
field_type = unwrap_optional_type(field_info.annotation)
group = parser.add_argument_group(
field_name, description=f"Arguments for {field_name}"
)
# Check if the field_type is a Pydantic model
if issubclass(field_type, BaseModel):
for sub_field_name, sub_field_info in field_type.model_fields.items():
sub_field_name = sub_field_name.replace("_", "-")
sub_field_type = sub_field_info.annotation
add_field_to_group(
group, sub_field_name, sub_field_type, sub_field_info
)
else:
field_name = field_name.replace("_", "-")
group.add_argument(f"--{field_name}", help=f"Argument for {field_name}")
return parser
def add_subcommands(parser: argparse.ArgumentParser):
"""Adds subcommands to an existing argparser"""
actions_subparsers = parser.add_subparsers(
dest="actions", help="Extra actions that can be run instead of the main server."
)
# Calls download action
download_parser = actions_subparsers.add_parser(
"download", help="Calls the model downloader"
)
download_parser.add_argument("repo_id", type=str, help="HuggingFace repo ID")
download_parser.add_argument(
"--folder-name",
type=str,
help="Folder name where the model should be downloaded",
)
download_parser.add_argument(
"--revision",
type=str,
help="Branch name in HuggingFace repo",
)
download_parser.add_argument(
"--token", type=str, help="HuggingFace access token for private repos"
)
download_parser.add_argument(
"--include", type=str, help="Glob pattern of files to include"
)
download_parser.add_argument(
"--exclude", type=str, help="Glob pattern of files to exclude"
)
# Calls openapi action
openapi_export_parser = actions_subparsers.add_parser(
"export-openapi", help="Exports an OpenAPI compliant JSON schema"
)
openapi_export_parser.add_argument(
"--export-path",
help="Path to export the generated OpenAPI JSON (default: openapi.json)",
)
openapi_export_parser.add_argument(
"--api-servers", nargs="+", help="Sets API servers to run when exporting"
)
# Calls config export action
config_export_parser = actions_subparsers.add_parser(
"export-config", help="Generates and exports a sample config YAML file"
)
config_export_parser.add_argument(
"--export-path",
help="Path to export the generated sample config (default: config_sample.yml)",
)
def convert_args_to_dict(
args: argparse.Namespace, parser: argparse.ArgumentParser
) -> dict:
"""Broad conversion of surface level arg groups to dictionaries"""
arg_groups = {}
for group in parser._action_groups:
group_dict = {}
for arg in group._group_actions:
value = getattr(args, arg.dest, None)
if value is not None:
group_dict[arg.dest] = value
arg_groups[group.title] = group_dict
return arg_groups