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Source code for openrl.cli.cli

#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright 2023 The OpenRL Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

""""""

import click
from click.core import Context, Option
from termcolor import colored

from openrl import __AUTHOR__, __EMAIL__, __TITLE__, __VERSION__
from openrl.utils.util import get_system_info


[docs]def red(text: str): return colored(text, "red")
CONTEXT_SETTINGS = dict(help_option_names=["-h", "--help"]) @click.command(context_settings=CONTEXT_SETTINGS) @click.option( "--version", is_flag=True, callback=print_version, expose_value=False, is_eager=True, help="Show package's version information.", ) @click.option( "--system_info", is_flag=True, callback=print_system_info, expose_value=False, is_eager=True, help="Show system information.", ) @click.option( "--mode", prompt="Choose execution mode", type=click.Choice( [ "train", ] ), help="execution mode", ) @click.option( "--env", prompt="Please enter environment name", type=str, help="RL environment name", ) @click.option( "--env_step", type=int, default=20000, help="Maximum collected environment steps for training", ) def run(mode: str, env: str, env_step: int): if mode == "train": from openrl.cli.train import train_agent train_agent(env, total_time_steps=env_step) else: raise NotImplementedError