# Copyright 2022 Digital Brain Laboratory, Yan Song and He jiang
# 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
#
#     http://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.

from dataclasses import dataclass, field
from typing import Any, Dict, List


@dataclass
class TrainingDesc:
    agent_id: str
    policy_id: str
    policy_distributions: Dict
    share_policies: bool
    sync: bool
    stopper: Any
    kwargs: Dict = field(default_factory=lambda: {})


@dataclass
class RolloutDesc:
    agent_id: str
    policy_id: str
    # {agent_id:{"policy_ids":np.ndarray,"policy_probs":np.ndarray}}
    policy_distributions: Dict
    share_policies: bool
    sync: bool
    stopper: Any
    kwargs: Dict = field(default_factory=lambda: {})


@dataclass
class RolloutEvalDesc:
    policy_combinations: List[Dict]
    num_eval_rollouts: int
    share_policies: bool
    kwargs: Dict = field(default_factory=lambda: {})


@dataclass
class PrefetchingDesc:
    table_name: str
    batch_size: int
