################################################################################
# Copyright(c)2020-2025 Shanghai Biren Technology Co., Ltd. All rights reserved.
# 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.
#
################################################################################

import os
import time

from vllm.config import CompilationConfig, CompilationLevel, VllmConfig
from vllm.logger import init_logger

logger = init_logger(__name__)

context_manager = None
torch_compile_start_time: float = 0.0


def start_monitoring_torch_compile(vllm_config: VllmConfig):
    global torch_compile_start_time
    torch_compile_start_time = time.time()

    compilation_config: CompilationConfig = vllm_config.compilation_config
    if compilation_config.level == CompilationLevel.PIECEWISE and \
        compilation_config.debug_dump_path:
        import depyf
        path = os.path.join(compilation_config.debug_dump_path,
                            f"rank_{vllm_config.parallel_config.rank}")
        global context_manager
        context_manager = depyf.prepare_debug(path)
        context_manager.__enter__()


def end_monitoring_torch_compile(vllm_config: VllmConfig):
    compilation_config: CompilationConfig = vllm_config.compilation_config
    if compilation_config.level == CompilationLevel.PIECEWISE:
        logger.info("torch.compile takes %.2f s in total",
                    compilation_config.compilation_time)
        global context_manager
        if context_manager is not None:
            context_manager.__exit__(None, None, None)
            context_manager = None


supagraph_capturing_enabled: bool = True


def validate_supagraph_capturing_enabled():
    # used to monitor whether a supagraph capturing is legal at runtime.
    # should be called before any supagraph capturing.
    # if an illegal supagraph capturing happens, raise an error.
    global supagraph_capturing_enabled
    if not supagraph_capturing_enabled:
        raise RuntimeError("CUDA graph capturing detected at an inappropriate "
                           "time. This operation is currently disabled.")


def set_supagraph_capturing_enabled(enabled: bool):
    global supagraph_capturing_enabled
    supagraph_capturing_enabled = enabled