# 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.

import logging
import re
from typing import Literal, Optional, cast

from pydantic import BaseModel
from utils.defaults import DEFAULT_MODEL_NAME, DYNAMO_RUN_DEFAULT_PORT

from dynamo.planner.defaults import WORKER_COMPONENT_NAMES

logger = logging.getLogger(__name__)
logger.setLevel(logging.INFO)
console_handler = logging.StreamHandler()
console_handler.setLevel(logging.INFO)
formatter = logging.Formatter(
    "%(asctime)s - %(name)s - %(levelname)s - %(message)s", "%Y-%m-%d %H:%M:%S"
)
console_handler.setFormatter(formatter)
logger.addHandler(console_handler)


class Container(BaseModel):
    args: list[str] = []


class PodSpec(BaseModel):
    mainContainer: Container


class ServiceResources(BaseModel):
    requests: dict[str, str]
    limits: Optional[dict[str, str]] = None


class Service(BaseModel):
    replicas: int
    resources: ServiceResources
    extraPodSpec: PodSpec


class Services(BaseModel):
    Frontend: Service
    __root__: dict[str, Service]


class Spec(BaseModel):
    services: dict[str, Service]


class Metadata(BaseModel):
    name: str


class Config(BaseModel):
    metadata: Metadata
    spec: Spec


def break_arguments(args: list[str]) -> list[str]:
    ans = []
    if isinstance(args, str):
        ans = re.split(r"[ =]", args)
    else:
        for arg in args:
            ans.extend(arg.split(" "))
    return ans


def remove_valued_arguments(args: list[str], key: str) -> list[str]:
    """Remove a valued argument (e.g., --key value) from the arguments list if exists."""
    if key in args:
        idx = args.index(key)
        if idx + 1 < len(args):
            del args[idx : idx + 2]

    return args


def join_arguments(args: list[str]) -> list[str]:
    return [" ".join(args)]


def append_argument(args: list[str], to_append) -> list[str]:
    idx = find_arg_index(args)
    if isinstance(to_append, list):
        args[idx:idx] = to_append
    else:
        args.insert(idx, to_append)
    return args


def find_arg_index(args: list[str]) -> int:
    # find the correct index to insert an argument
    idx = len(args)

    try:
        new_idx = args.index("|")
        idx = min(idx, new_idx)
    except ValueError:
        pass

    try:
        new_idx = args.index("2>&1")
        idx = min(idx, new_idx)
    except ValueError:
        pass

    return idx


class VllmV1ConfigModifier:
    @classmethod
    def convert_config(cls, config: dict, target: Literal["prefill", "decode"]) -> dict:
        cfg = Config.model_validate(config)

        # set metadata name
        cfg.metadata.name = "vllm-agg"

        # disable planner
        if "Planner" in cfg.spec.services:
            del cfg.spec.services["Planner"]

        if target == "prefill":
            # convert prefill worker into decode worker
            cfg.spec.services[
                WORKER_COMPONENT_NAMES["vllm"].decode_worker_k8s_name
            ] = cfg.spec.services[
                WORKER_COMPONENT_NAMES["vllm"].prefill_worker_k8s_name
            ]
            del cfg.spec.services[
                WORKER_COMPONENT_NAMES["vllm"].prefill_worker_k8s_name
            ]

            args = cfg.spec.services[
                WORKER_COMPONENT_NAMES["vllm"].decode_worker_k8s_name
            ].extraPodSpec.mainContainer.args

            args = break_arguments(args)

            # remove --is-prefill-worker flag
            args.remove("--is-prefill-worker")

            # disable prefix caching
            if "--enable-prefix-caching" in args:
                args.remove("--enable-prefix-caching")
            if "--no-enable-prefix-caching" not in args:
                args = append_argument(args, "--no-enable-prefix-caching")

            cfg.spec.services[
                WORKER_COMPONENT_NAMES["vllm"].decode_worker_k8s_name
            ].extraPodSpec.mainContainer.args = join_arguments(args)

        elif target == "decode":
            # delete prefill worker
            del cfg.spec.services[
                WORKER_COMPONENT_NAMES["vllm"].prefill_worker_k8s_name
            ]

            args = cfg.spec.services[
                WORKER_COMPONENT_NAMES["vllm"].decode_worker_k8s_name
            ].extraPodSpec.mainContainer.args

            args = break_arguments(args)

            # enable prefix caching
            if "--enable-prefix-caching" not in args:
                args = append_argument(args, "--enable-prefix-caching")
            if "--no-enable-prefix-caching" in args:
                args.remove("--no-enable-prefix-caching")

            cfg.spec.services[
                WORKER_COMPONENT_NAMES["vllm"].decode_worker_k8s_name
            ].extraPodSpec.mainContainer.args = join_arguments(args)

        # set num workers to 1
        decode_worker_config = cfg.spec.services[
            WORKER_COMPONENT_NAMES["vllm"].decode_worker_k8s_name
        ]
        decode_worker_config.replicas = 1

        return cfg.model_dump()

    @classmethod
    def set_config_tp_size(cls, config: dict, tp_size: int):
        cfg = Config.model_validate(config)

        cfg.spec.services[
            WORKER_COMPONENT_NAMES["vllm"].decode_worker_k8s_name
        ].resources.requests["gpu"] = str(tp_size)
        if (
            cfg.spec.services[
                WORKER_COMPONENT_NAMES["vllm"].decode_worker_k8s_name
            ].resources.limits
            is not None
        ):
            # Explicitly cast `limits` as the typecheck cannot determine that
            # limits is not None here
            cast(
                dict[str, str],
                cfg.spec.services[
                    WORKER_COMPONENT_NAMES["vllm"].decode_worker_k8s_name
                ].resources.limits,
            )["gpu"] = str(tp_size)

        args = cfg.spec.services[
            WORKER_COMPONENT_NAMES["vllm"].decode_worker_k8s_name
        ].extraPodSpec.mainContainer.args

        args = break_arguments(args)

        try:
            idx = args.index("--tensor-parallel-size")
            args[idx + 1] = str(tp_size)
        except ValueError:
            args = append_argument(args, ["--tensor-parallel-size", str(tp_size)])

        cfg.spec.services[
            WORKER_COMPONENT_NAMES["vllm"].decode_worker_k8s_name
        ].extraPodSpec.mainContainer.args = join_arguments(args)

        return cfg.model_dump()

    @classmethod
    def get_model_name(cls, config: dict) -> str:
        cfg = Config.model_validate(config)
        worker_name = WORKER_COMPONENT_NAMES["vllm"].decode_worker_k8s_name
        args = cfg.spec.services[worker_name].extraPodSpec.mainContainer.args

        args = break_arguments(args)
        for i, arg in enumerate(args):
            if arg == "--model" and i + 1 < len(args):
                return args[i + 1]

        logger.warning(
            f"Model name not found in configuration args, using default model name: {DEFAULT_MODEL_NAME}"
        )
        return DEFAULT_MODEL_NAME

    @classmethod
    def get_port(cls, config: dict) -> int:
        cfg = Config.model_validate(config)
        args = cfg.spec.services["Frontend"].extraPodSpec.mainContainer.args
        args = break_arguments(args)
        try:
            idx = args.index("--http-port")
            return int(args[idx + 1])
        except ValueError:
            logger.warning(
                f"Port not found in configuration args, using default port: {DYNAMO_RUN_DEFAULT_PORT}"
            )
            return DYNAMO_RUN_DEFAULT_PORT

    @classmethod
    def get_kv_cache_size_from_dynamo_log(cls, dynamo_log_fn: str) -> int:
        # TODO
        try:
            with open(dynamo_log_fn, "r") as f:
                for line in f:
                    if "Maximum concurrency for" in line:
                        line = line.strip().split("Maximum concurrency for ")[1]
                        token_count = int(
                            line.split(" tokens per request: ")[0].replace(",", "")
                        )
                        concurrency = float(line.split(" tokens per request: ")[1][:-1])

                        logger.info(
                            f"Found KV cache info: {token_count} x {concurrency} = {int(token_count * concurrency)}"
                        )
                        return int(token_count * concurrency)
        except Exception as e:
            logger.warning(
                f"Failed to parse KV cache size from line: {line}. Error: {e}"
            )
        return 0


class SGLangConfigModifier:
    @classmethod
    def convert_config(cls, config: dict, target: Literal["prefill", "decode"]) -> dict:
        cfg = Config.model_validate(config)

        # set metadata name
        cfg.metadata.name = "sglang-agg"

        # disable planner
        if "Planner" in cfg.spec.services:
            del cfg.spec.services["Planner"]

        if target == "prefill":
            # convert prefill worker into decode worker
            cfg.spec.services[
                WORKER_COMPONENT_NAMES["sglang"].decode_worker_k8s_name
            ] = cfg.spec.services[
                WORKER_COMPONENT_NAMES["sglang"].prefill_worker_k8s_name
            ]
            del cfg.spec.services[
                WORKER_COMPONENT_NAMES["sglang"].prefill_worker_k8s_name
            ]

            args = cfg.spec.services[
                WORKER_COMPONENT_NAMES["sglang"].decode_worker_k8s_name
            ].extraPodSpec.mainContainer.args

            args = break_arguments(args)

            # remove `--disaggregation-mode` and `--disaggregation-transfer-backend`
            args = remove_valued_arguments(args, "--disaggregation-mode")
            args = remove_valued_arguments(args, "--disaggregation-transfer-backend")

            # disable prefix caching
            if "--disable-radix-cache" not in args:
                args = append_argument(args, "--disable-radix-cache")

            cfg.spec.services[
                WORKER_COMPONENT_NAMES["sglang"].decode_worker_k8s_name
            ].extraPodSpec.mainContainer.args = join_arguments(args)

        elif target == "decode":
            # delete prefill worker
            del cfg.spec.services[
                WORKER_COMPONENT_NAMES["sglang"].prefill_worker_k8s_name
            ]

            args = cfg.spec.services[
                WORKER_COMPONENT_NAMES["sglang"].decode_worker_k8s_name
            ].extraPodSpec.mainContainer.args

            args = break_arguments(args)

            # call `dynamo.sglang.worker` instead of `dynamo.sglang.decode_worker`
            idx = args.index("dynamo.sglang.decode_worker")
            args[idx] = "dynamo.sglang.worker"

            # remove `--disaggregation-mode` and `--disaggregation-transfer-backend`
            args = remove_valued_arguments(args, "--disaggregation-mode")
            args = remove_valued_arguments(args, "--disaggregation-transfer-backend")

            # enable prefix caching
            if "--disable-radix-cache" in args:
                args.remove("--disable-radix-cache")

            cfg.spec.services[
                WORKER_COMPONENT_NAMES["sglang"].decode_worker_k8s_name
            ].extraPodSpec.mainContainer.args = join_arguments(args)

        # set num workers to 1
        decode_worker_config = config["spec"]["services"][
            WORKER_COMPONENT_NAMES["sglang"].decode_worker_k8s_name
        ]
        decode_worker_config["replicas"] = 1

        return config

    @classmethod
    def set_config_tp_size(cls, config: dict, tp_size: int):
        cfg = Config.model_validate(config)

        cfg.spec.services[
            WORKER_COMPONENT_NAMES["sglang"].decode_worker_k8s_name
        ].resources.requests["gpu"] = str(tp_size)
        if (
            cfg.spec.services[
                WORKER_COMPONENT_NAMES["sglang"].decode_worker_k8s_name
            ].resources.limits
            is not None
        ):
            # Explicitly cast `limits` as the typecheck cannot determine that
            # limits is not None here
            cast(
                dict[str, str],
                cfg.spec.services[
                    WORKER_COMPONENT_NAMES["sglang"].decode_worker_k8s_name
                ].resources.limits,
            )["gpu"] = str(tp_size)

        args = cfg.spec.services[
            WORKER_COMPONENT_NAMES["sglang"].decode_worker_k8s_name
        ].extraPodSpec.mainContainer.args

        args = break_arguments(args)

        try:
            idx = args.index("--tp")
            args[idx + 1] = str(tp_size)
        except ValueError:
            args = append_argument(args, ["--tp", str(tp_size)])

        cfg.spec.services[
            WORKER_COMPONENT_NAMES["sglang"].decode_worker_k8s_name
        ].extraPodSpec.mainContainer.args = join_arguments(args)

        return cfg.model_dump()

    @classmethod
    def get_model_name(cls, config: dict) -> str:
        cfg = Config.model_validate(config)
        worker_name = WORKER_COMPONENT_NAMES["sglang"].decode_worker_k8s_name
        args = cfg.spec.services[worker_name].extraPodSpec.mainContainer.args

        args = break_arguments(args)
        for i, arg in enumerate(args):
            if arg == "--served-model-name" and i + 1 < len(args):
                return args[i + 1]

        logger.warning(
            f"Model name not found in configuration args, using default model name: {DEFAULT_MODEL_NAME}"
        )
        return DEFAULT_MODEL_NAME

    @classmethod
    def get_port(cls, config: dict) -> int:
        cfg = Config.model_validate(config)
        args = cfg.spec.services["Frontend"].extraPodSpec.mainContainer.args
        args = break_arguments(args)
        try:
            idx = args.index("--http-port")
            return int(args[idx + 1])
        except ValueError:
            logger.warning(
                f"Port not found in configuration args, using default port: {DYNAMO_RUN_DEFAULT_PORT}"
            )
            return DYNAMO_RUN_DEFAULT_PORT

    @classmethod
    def get_kv_cache_size_from_dynamo_log(cls, dynamo_log_fn: str) -> int:
        # TODO
        try:
            with open(dynamo_log_fn, "r") as f:
                for line in f:
                    if "KV Cache is allocated" in line and "#tokens:" in line:
                        # Extract the number after "#tokens:"
                        match = re.search(r"#tokens:\s*(\d+)", line)
                        if match:
                            return int(match.group(1))
        except Exception as e:
            logger.warning(f"Failed to parse KV cache size from log file. Error: {e}")
        return 0


CONFIG_MODIFIERS = {
    "vllm": VllmV1ConfigModifier,
    "sglang": SGLangConfigModifier,
}