from __future__ import annotations
import asyncio, contextlib, functools, logging, sys, time, typing as t
from abc import ABC, abstractmethod
import attr, docker, docker.errors, docker.types, orjson, pytest, openllm
from syrupy.extensions.json import JSONSnapshotExtension
from openllm._llm import normalise_model_name
from openllm_core._typing_compat import DictStrAny, ListAny
logger = logging.getLogger(__name__)

if t.TYPE_CHECKING:
  import subprocess
  from syrupy.assertion import SnapshotAssertion
  from syrupy.types import PropertyFilter, PropertyMatcher, SerializableData, SerializedData
  from openllm._configuration import GenerationConfig
  from openllm.client import BaseAsyncClient
class ResponseComparator(JSONSnapshotExtension):
  def serialize(self, data: SerializableData, *, exclude: PropertyFilter | None = None, matcher: PropertyMatcher | None = None,) -> SerializedData:
    if openllm.utils.LazyType(ListAny).isinstance(data):
      data = [d.unmarshaled for d in data]
    else:
      data = data.unmarshaled
    data = self._filter(data=data, depth=0, path=(), exclude=exclude, matcher=matcher)
    return orjson.dumps(data, option=orjson.OPT_INDENT_2 | orjson.OPT_SORT_KEYS).decode()

  def matches(self, *, serialized_data: SerializableData, snapshot_data: SerializableData) -> bool:
    def convert_data(data: SerializableData) -> openllm.GenerationOutput | t.Sequence[openllm.GenerationOutput]:
      try:
        data = orjson.loads(data)
      except orjson.JSONDecodeError as err:
        raise ValueError(f"Failed to decode JSON data: {data}") from err
      if openllm.utils.LazyType(DictStrAny).isinstance(data):
        return openllm.GenerationOutput(**data)
      elif openllm.utils.LazyType(ListAny).isinstance(data):
        return [openllm.GenerationOutput(**d) for d in data]
      else:
        raise NotImplementedError(f"Data {data} has unsupported type.")

    serialized_data = convert_data(serialized_data)
    snapshot_data = convert_data(snapshot_data)

    if openllm.utils.LazyType(ListAny).isinstance(serialized_data):
      serialized_data = [serialized_data]
    if openllm.utils.LazyType(ListAny).isinstance(snapshot_data):
      snapshot_data = [snapshot_data]

    def eq_config(s: GenerationConfig, t: GenerationConfig) -> bool:
      return s == t

    def eq_output(s: openllm.GenerationOutput, t: openllm.GenerationOutput) -> bool:
      return (len(s.responses) == len(t.responses) and all([_s == _t for _s, _t in zip(s.responses, t.responses)]) and eq_config(s.marshaled_config, t.marshaled_config))

    return len(serialized_data) == len(snapshot_data) and all([eq_output(s, t) for s, t in zip(serialized_data, snapshot_data)])
@pytest.fixture()
def response_snapshot(snapshot: SnapshotAssertion):
  return snapshot.use_extension(ResponseComparator)
@attr.define(init=False)
class _Handle(ABC):
  port: int
  deployment_mode: t.Literal["container", "local"]

  client: BaseAsyncClient[t.Any] = attr.field(init=False)

  if t.TYPE_CHECKING:

    def __attrs_init__(self, *args: t.Any, **attrs: t.Any):
      ...

  def __attrs_post_init__(self):
    self.client = openllm.client.AsyncHTTPClient(f"http://localhost:{self.port}")

  @abstractmethod
  def status(self) -> bool:
    raise NotImplementedError

  async def health(self, timeout: int = 240):
    start_time = time.time()
    while time.time() - start_time < timeout:
      if not self.status():
        raise RuntimeError(f"Failed to initialise {self.__class__.__name__}")
      await self.client.health()
      try:
        await self.client.query("sanity")
        return
      except Exception:
        time.sleep(1)
    raise RuntimeError(f"Handle failed to initialise within {timeout} seconds.")
@attr.define(init=False)
class LocalHandle(_Handle):
  process: subprocess.Popen[bytes]

  def __init__(self, process: subprocess.Popen[bytes], port: int, deployment_mode: t.Literal["container", "local"],):
    self.__attrs_init__(port, deployment_mode, process)

  def status(self) -> bool:
    return self.process.poll() is None
class HandleProtocol(t.Protocol):
  @contextlib.contextmanager
  def __call__(*, model: str, model_id: str, image_tag: str, quantize: t.AnyStr | None = None,) -> t.Generator[_Handle, None, None]:
    ...
@attr.define(init=False)
class DockerHandle(_Handle):
  container_name: str
  docker_client: docker.DockerClient

  def __init__(self, docker_client: docker.DockerClient, container_name: str, port: int, deployment_mode: t.Literal["container", "local"],):
    self.__attrs_init__(port, deployment_mode, container_name, docker_client)

  def status(self) -> bool:
    container = self.docker_client.containers.get(self.container_name)
    return container.status in ["running", "created"]
@contextlib.contextmanager
def _local_handle(
    model: str, model_id: str, image_tag: str, deployment_mode: t.Literal["container", "local"], quantize: t.Literal["int8", "int4", "gptq"] | None = None, *, _serve_grpc: bool = False,
):
  with openllm.utils.reserve_free_port() as port:
    pass

  if not _serve_grpc:
    proc = openllm.start(model, model_id=model_id, quantize=quantize, additional_args=["--port", str(port)], __test__=True)
  else:
    proc = openllm.start_grpc(model, model_id=model_id, quantize=quantize, additional_args=["--port", str(port)], __test__=True)

  yield LocalHandle(proc, port, deployment_mode)
  proc.terminate()
  proc.wait(60)

  process_output = proc.stdout.read()
  print(process_output, file=sys.stderr)

  proc.stdout.close()
  if proc.stderr:
    proc.stderr.close()
@contextlib.contextmanager
def _container_handle(
    model: str, model_id: str, image_tag: str, deployment_mode: t.Literal["container", "local"], quantize: t.Literal["int8", "int4", "gptq"] | None = None, *, _serve_grpc: bool = False,
):
  envvar = openllm.utils.EnvVarMixin(model)

  with openllm.utils.reserve_free_port() as port, openllm.utils.reserve_free_port() as prom_port:
    pass
  container_name = f"openllm-{model}-{normalise_model_name(model_id)}".replace("-", "_")
  client = docker.from_env()
  try:
    container = client.containers.get(container_name)
    container.stop()
    container.wait()
    container.remove()
  except docker.errors.NotFound:
    pass

  args = ["serve" if not _serve_grpc else "serve-grpc"]

  env: DictStrAny = {}

  if quantize is not None:
    env[envvar.quantize] = quantize

  gpus = openllm.utils.device_count() or -1
  devs = [docker.types.DeviceRequest(count=gpus, capabilities=[["gpu"]])] if gpus > 0 else None

  container = client.containers.run(
      image_tag, command=args, name=container_name, environment=env, auto_remove=False, detach=True, device_requests=devs, ports={
          "3000/tcp": port, "3001/tcp": prom_port
      },
  )

  yield DockerHandle(client, container.name, port, deployment_mode)

  try:
    container.stop()
    container.wait()
  except docker.errors.NotFound:
    pass

  container_output = container.logs().decode("utf-8")
  print(container_output, file=sys.stderr)

  container.remove()
@pytest.fixture(scope="session", autouse=True)
def clean_context() -> t.Generator[contextlib.ExitStack, None, None]:
  stack = contextlib.ExitStack()
  yield stack
  stack.close()
@pytest.fixture(scope="module")
def el() -> t.Generator[asyncio.AbstractEventLoop, None, None]:
  loop = asyncio.get_event_loop()
  yield loop
  loop.close()
@pytest.fixture(params=["container", "local"], scope="session")
def deployment_mode(request: pytest.FixtureRequest) -> str:
  return request.param
@pytest.fixture(scope="module")
def handler(el: asyncio.AbstractEventLoop, deployment_mode: t.Literal["container", "local"]):
  if deployment_mode == "container":
    return functools.partial(_container_handle, deployment_mode=deployment_mode)
  elif deployment_mode == "local":
    return functools.partial(_local_handle, deployment_mode=deployment_mode)
  else:
    raise ValueError(f"Unknown deployment mode: {deployment_mode}")