InvokeAI/invokeai/app/services/config/config_base.py
psychedelicious 5a3195f757 final tidying before marking PR as ready for review
- Replace AnyModelLoader with ModelLoaderRegistry
- Fix type check errors in multiple files
- Remove apparently unneeded `get_model_config_enum()` method from model manager
- Remove last vestiges of old model manager
- Updated tests and documentation

resolve conflict with seamless.py
2024-03-01 10:42:33 +11:00

224 lines
8.4 KiB
Python

# Copyright (c) 2023 Lincoln Stein (https://github.com/lstein) and the InvokeAI Development Team
"""
Base class for the InvokeAI configuration system.
It defines a type of pydantic BaseSettings object that
is able to read and write from an omegaconf-based config file,
with overriding of settings from environment variables and/or
the command line.
"""
from __future__ import annotations
import argparse
import os
import sys
from argparse import ArgumentParser
from pathlib import Path
from typing import Any, ClassVar, Dict, List, Literal, Optional, Union, get_args, get_origin, get_type_hints
from omegaconf import DictConfig, ListConfig, OmegaConf
from pydantic_settings import BaseSettings, SettingsConfigDict
from invokeai.app.services.config.config_common import PagingArgumentParser, int_or_float_or_str
class InvokeAISettings(BaseSettings):
"""Runtime configuration settings in which default values are read from an omegaconf .yaml file."""
initconf: ClassVar[Optional[DictConfig]] = None
argparse_groups: ClassVar[Dict[str, Any]] = {}
model_config = SettingsConfigDict(env_file_encoding="utf-8", arbitrary_types_allowed=True, case_sensitive=True)
def parse_args(self, argv: Optional[List[str]] = sys.argv[1:]) -> None:
"""Call to parse command-line arguments."""
parser = self.get_parser()
opt, unknown_opts = parser.parse_known_args(argv)
if len(unknown_opts) > 0:
print("Unknown args:", unknown_opts)
for name in self.model_fields:
if name not in self._excluded():
value = getattr(opt, name)
if isinstance(value, ListConfig):
value = list(value)
elif isinstance(value, DictConfig):
value = dict(value)
setattr(self, name, value)
def to_yaml(self) -> str:
"""Return a YAML string representing our settings. This can be used as the contents of `invokeai.yaml` to restore settings later."""
cls = self.__class__
type = get_args(get_type_hints(cls)["type"])[0]
field_dict: Dict[str, Dict[str, Any]] = {type: {}}
for name, field in self.model_fields.items():
if name in cls._excluded_from_yaml():
continue
assert isinstance(field.json_schema_extra, dict)
category = (
field.json_schema_extra.get("category", "Uncategorized") if field.json_schema_extra else "Uncategorized"
)
value = getattr(self, name)
assert isinstance(category, str)
if category not in field_dict[type]:
field_dict[type][category] = {}
# keep paths as strings to make it easier to read
field_dict[type][category][name] = str(value) if isinstance(value, Path) else value
conf = OmegaConf.create(field_dict)
return OmegaConf.to_yaml(conf)
@classmethod
def add_parser_arguments(cls, parser: ArgumentParser) -> None:
"""Dynamically create arguments for a settings parser."""
if "type" in get_type_hints(cls):
settings_stanza = get_args(get_type_hints(cls)["type"])[0]
else:
settings_stanza = "Uncategorized"
env_prefix = getattr(cls.model_config, "env_prefix", None)
env_prefix = env_prefix if env_prefix is not None else settings_stanza.upper()
initconf = (
cls.initconf.get(settings_stanza)
if cls.initconf and settings_stanza in cls.initconf
else OmegaConf.create()
)
# create an upcase version of the environment in
# order to achieve case-insensitive environment
# variables (the way Windows does)
upcase_environ = {}
for key, value in os.environ.items():
upcase_environ[key.upper()] = value
fields = cls.model_fields
cls.argparse_groups = {}
for name, field in fields.items():
if name not in cls._excluded():
current_default = field.default
category = (
field.json_schema_extra.get("category", "Uncategorized")
if field.json_schema_extra
else "Uncategorized"
)
env_name = env_prefix + "_" + name
if category in initconf and name in initconf.get(category):
field.default = initconf.get(category).get(name)
if env_name.upper() in upcase_environ:
field.default = upcase_environ[env_name.upper()]
cls.add_field_argument(parser, name, field)
field.default = current_default
@classmethod
def cmd_name(cls, command_field: str = "type") -> str:
"""Return the category of a setting."""
hints = get_type_hints(cls)
if command_field in hints:
result: str = get_args(hints[command_field])[0]
return result
else:
return "Uncategorized"
@classmethod
def get_parser(cls) -> ArgumentParser:
"""Get the command-line parser for a setting."""
parser = PagingArgumentParser(
prog=cls.cmd_name(),
description=cls.__doc__,
)
cls.add_parser_arguments(parser)
return parser
@classmethod
def _excluded(cls) -> List[str]:
# internal fields that shouldn't be exposed as command line options
return ["type", "initconf"]
@classmethod
def _excluded_from_yaml(cls) -> List[str]:
# combination of deprecated parameters and internal ones that shouldn't be exposed as invokeai.yaml options
return [
"type",
"initconf",
"version",
"from_file",
"model",
"root",
"max_cache_size",
"max_vram_cache_size",
"always_use_cpu",
"free_gpu_mem",
"xformers_enabled",
"tiled_decode",
"lora_dir",
"embedding_dir",
"controlnet_dir",
]
@classmethod
def add_field_argument(cls, command_parser, name: str, field, default_override=None) -> None:
"""Add the argparse arguments for a setting parser."""
field_type = get_type_hints(cls).get(name)
default = (
default_override
if default_override is not None
else field.default
if field.default_factory is None
else field.default_factory()
)
if category := (field.json_schema_extra.get("category", None) if field.json_schema_extra else None):
if category not in cls.argparse_groups:
cls.argparse_groups[category] = command_parser.add_argument_group(category)
argparse_group = cls.argparse_groups[category]
else:
argparse_group = command_parser
if get_origin(field_type) == Literal:
allowed_values = get_args(field.annotation)
allowed_types = set()
for val in allowed_values:
allowed_types.add(type(val))
allowed_types_list = list(allowed_types)
field_type = allowed_types_list[0] if len(allowed_types) == 1 else int_or_float_or_str
argparse_group.add_argument(
f"--{name}",
dest=name,
type=field_type,
default=default,
choices=allowed_values,
help=field.description,
)
elif get_origin(field_type) == Union:
argparse_group.add_argument(
f"--{name}",
dest=name,
type=int_or_float_or_str,
default=default,
help=field.description,
)
elif get_origin(field_type) == list:
argparse_group.add_argument(
f"--{name}",
dest=name,
nargs="*",
type=field.annotation,
default=default,
action=argparse.BooleanOptionalAction if field.annotation == bool else "store",
help=field.description,
)
else:
argparse_group.add_argument(
f"--{name}",
dest=name,
type=field.annotation,
default=default,
action=argparse.BooleanOptionalAction if field.annotation == bool else "store",
help=field.description,
)