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chore: import upstream snapshot with attribution
2026-07-13 13:22:06 +08:00

47 lines
1.8 KiB
Python

from argparse import ArgumentParser, Namespace, RawTextHelpFormatter
from typing import Optional
from invokeai.version import __version__
_root_help = r"""Path to the runtime root directory. If omitted, the app will search for the root directory in the following order:
- The `$INVOKEAI_ROOT` environment variable
- The currently active virtual environment's parent directory
- `$HOME/invokeai`"""
_config_file_help = r"""Path to the invokeai.yaml configuration file. If omitted, the app will search for the file in the root directory."""
_parser = ArgumentParser(description="Invoke Studio", formatter_class=RawTextHelpFormatter)
_parser.add_argument("--root", type=str, help=_root_help)
_parser.add_argument("--config", dest="config_file", type=str, help=_config_file_help)
_parser.add_argument("--version", action="version", version=__version__, help="Displays the version and exits.")
class InvokeAIArgs:
"""Helper class for parsing CLI args.
Args should never be parsed within the application code, only in the CLI entrypoints. Parsing args within the
application creates conflicts when running tests or when using application modules directly.
If the args are needed within the application, the consumer should access them from this class.
Example:
```
# In a CLI wrapper
from invokeai.frontend.cli.arg_parser import InvokeAIArgs
InvokeAIArgs.parse_args()
# In the application
from invokeai.frontend.cli.arg_parser import InvokeAIArgs
args = InvokeAIArgs.args
"""
args: Optional[Namespace] = None
did_parse: bool = False
@staticmethod
def parse_args() -> Optional[Namespace]:
"""Parse CLI args and store the result."""
InvokeAIArgs.args = _parser.parse_args()
InvokeAIArgs.did_parse = True
return InvokeAIArgs.args