# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
#
# 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 typing import Protocol

from benchmarks.profiler.utils.defaults import EngineType
from dynamo.planner.defaults import SubComponentType


class ConfigModifierProtocol(Protocol):
    @classmethod
    def convert_config(
        cls,
        config: dict,
        target: EngineType,
        is_moe_model: bool = False,
    ) -> dict:
        ...

    @classmethod
    def set_config_tp_size(
        cls,
        config: dict,
        tp_size: int,
        component_type: SubComponentType = SubComponentType.DECODE,
    ) -> dict:
        ...

    @classmethod
    def set_config_tep_size(
        cls,
        config: dict,
        tep_size: int,
        num_gpus_per_node: int,
        component_type: SubComponentType = SubComponentType.DECODE,
    ) -> dict:
        ...

    @classmethod
    def set_config_dep_size(
        cls,
        config: dict,
        dep_size: int,
        num_gpus_per_node: int,
        component_type: SubComponentType = SubComponentType.DECODE,
    ) -> dict:
        ...

    @classmethod
    def get_model_name(cls, config: dict) -> str:
        ...

    @classmethod
    def set_prefill_config(
        cls, config: dict, max_batch_size: int, max_num_tokens: int
    ) -> dict:
        ...

    @classmethod
    def get_port(cls, config: dict) -> int:
        ...

    @classmethod
    def get_kv_cache_size_from_dynamo_log(
        cls, dynamo_log_fn: str, attention_dp_size: int = 1
    ) -> int:
        ...

    @classmethod
    def load_default_config(cls) -> dict:
        ...

    @classmethod
    def update_model(cls, config: dict, model_name: str) -> dict:
        ...

    @classmethod
    def update_image(cls, config: dict, image: str) -> dict:
        ...
