import logging
import os
import sys
import threading
from typing import Any, Dict, List, Optional, Tuple

import ray._private.ray_constants as ray_constants
from ray._private.client_mode_hook import (
    _explicitly_disable_client_mode,
    _explicitly_enable_client_mode,
)
from ray._private.ray_logging import setup_logger
from ray.job_config import JobConfig
from ray.util.annotations import DeveloperAPI

logger = logging.getLogger(__name__)

# This version string is incremented to indicate breaking changes in the
# protocol that require upgrading the client version.
CURRENT_PROTOCOL_VERSION = "2023-06-27"


class _ClientContext:
    def __init__(self):
        from ray.util.client.api import _ClientAPI

        self.api = _ClientAPI()
        self.client_worker = None
        self._server = None
        self._connected_with_init = False
        self._inside_client_test = False

    def connect(
        self,
        conn_str: str,
        job_config: JobConfig = None,
        secure: bool = False,
        metadata: List[Tuple[str, str]] = None,
        connection_retries: int = 3,
        namespace: str = None,
        *,
        ignore_version: bool = False,
        _credentials: Optional["grpc.ChannelCredentials"] = None,  # noqa: F821
        ray_init_kwargs: Optional[Dict[str, Any]] = None,
    ) -> Dict[str, Any]:
        """Connect the Ray Client to a server.

        Args:
            conn_str: Connection string, in the form "[host]:port"
            job_config: The job config of the server.
            secure: Whether to use a TLS secured gRPC channel
            metadata: gRPC metadata to send on connect
            connection_retries: number of connection attempts to make
            ignore_version: whether to ignore Python or Ray version mismatches.
                This should only be used for debugging purposes.

        Returns:
            Dictionary of connection info, e.g., {"num_clients": 1}.
        """
        # Delay imports until connect to avoid circular imports.
        from ray.util.client.worker import Worker

        if self.client_worker is not None:
            if self._connected_with_init:
                return
            raise Exception("ray.init() called, but ray client is already connected")
        if not self._inside_client_test:
            # If we're calling a client connect specifically and we're not
            # currently in client mode, ensure we are.
            _explicitly_enable_client_mode()
        if namespace is not None:
            job_config = job_config or JobConfig()
            job_config.set_ray_namespace(namespace)

        logging_level = ray_constants.LOGGER_LEVEL
        logging_format = ray_constants.LOGGER_FORMAT

        if ray_init_kwargs is None:
            ray_init_kwargs = {}

        # NOTE(architkulkarni): env_hook is not supported with Ray Client.
        ray_init_kwargs["_skip_env_hook"] = True

        if ray_init_kwargs.get("logging_level") is not None:
            logging_level = ray_init_kwargs["logging_level"]
        if ray_init_kwargs.get("logging_format") is not None:
            logging_format = ray_init_kwargs["logging_format"]

        setup_logger(logging_level, logging_format)

        try:
            self.client_worker = Worker(
                conn_str,
                secure=secure,
                _credentials=_credentials,
                metadata=metadata,
                connection_retries=connection_retries,
            )
            self.api.worker = self.client_worker
            self.client_worker._server_init(job_config, ray_init_kwargs)
            conn_info = self.client_worker.connection_info()
            self._check_versions(conn_info, ignore_version)
            self._register_serializers()
            return conn_info
        except Exception:
            self.disconnect()
            raise

    def _register_serializers(self):
        """Register the custom serializer addons at the client side.

        The server side should have already registered the serializers via
        regular worker's serialization_context mechanism.
        """
        import ray.util.serialization_addons
        from ray.util.serialization import StandaloneSerializationContext

        ctx = StandaloneSerializationContext()
        ray.util.serialization_addons.apply(ctx)

    def _check_versions(self, conn_info: Dict[str, Any], ignore_version: bool) -> None:
        local_major_minor = f"{sys.version_info[0]}.{sys.version_info[1]}"
        if not conn_info["python_version"].startswith(local_major_minor):
            version_str = f"{local_major_minor}.{sys.version_info[2]}"
            msg = (
                "Python minor versions differ between client and server:"
                + f" client is {version_str},"
                + f" server is {conn_info['python_version']}"
            )
            if ignore_version or "RAY_IGNORE_VERSION_MISMATCH" in os.environ:
                logger.warning(msg)
            else:
                raise RuntimeError(msg)
        if CURRENT_PROTOCOL_VERSION != conn_info["protocol_version"]:
            msg = (
                "Client Ray installation incompatible with server:"
                + f" client is {CURRENT_PROTOCOL_VERSION},"
                + f" server is {conn_info['protocol_version']}"
            )
            if ignore_version or "RAY_IGNORE_VERSION_MISMATCH" in os.environ:
                logger.warning(msg)
            else:
                raise RuntimeError(msg)

    def disconnect(self):
        """Disconnect the Ray Client."""
        from ray.util.client.api import _ClientAPI

        if self.client_worker is not None:
            self.client_worker.close()
        self.api = _ClientAPI()
        self.client_worker = None

    # remote can be called outside of a connection, which is why it
    # exists on the same API layer as connect() itself.
    def remote(self, *args, **kwargs):
        """remote is the hook stub passed on to replace `ray.remote`.

        This sets up remote functions or actors, as the decorator,
        but does not execute them.

        Args:
            args: opaque arguments
            kwargs: opaque keyword arguments
        """
        return self.api.remote(*args, **kwargs)

    def __getattr__(self, key: str):
        if self.is_connected():
            return getattr(self.api, key)
        elif key in ["is_initialized", "_internal_kv_initialized"]:
            # Client is not connected, thus Ray is not considered initialized.
            return lambda: False
        else:
            raise Exception(
                "Ray Client is not connected. Please connect by calling `ray.init`."
            )

    def is_connected(self) -> bool:
        if self.client_worker is None:
            return False
        return self.client_worker.is_connected()

    def init(self, *args, **kwargs):
        if self._server is not None:
            raise Exception("Trying to start two instances of ray via client")
        import ray.util.client.server.server as ray_client_server

        server_handle, address_info = ray_client_server.init_and_serve(
            "127.0.0.1:50051", *args, **kwargs
        )
        self._server = server_handle.grpc_server
        self.connect("127.0.0.1:50051")
        self._connected_with_init = True
        return address_info

    def shutdown(self, _exiting_interpreter=False):
        self.disconnect()
        import ray.util.client.server.server as ray_client_server

        if self._server is None:
            return
        ray_client_server.shutdown_with_server(self._server, _exiting_interpreter)
        self._server = None


# All connected context will be put here
# This struct will be guarded by a lock for thread safety
_all_contexts = set()
_lock = threading.Lock()

# This is the default context which is used when allow_multiple is not True
_default_context = _ClientContext()


@DeveloperAPI
class RayAPIStub:
    """This class stands in as the replacement API for the `import ray` module.

    Much like the ray module, this mostly delegates the work to the
    _client_worker. As parts of the ray API are covered, they are piped through
    here or on the client worker API.
    """

    def __init__(self):
        self._cxt = threading.local()
        self._cxt.handler = _default_context
        self._inside_client_test = False

    def get_context(self):
        try:
            return self._cxt.__getattribute__("handler")
        except AttributeError:
            self._cxt.handler = _default_context
            return self._cxt.handler

    def set_context(self, cxt):
        old_cxt = self.get_context()
        if cxt is None:
            self._cxt.handler = _ClientContext()
        else:
            self._cxt.handler = cxt
        return old_cxt

    def is_default(self):
        return self.get_context() == _default_context

    def connect(self, *args, **kw_args):
        self.get_context()._inside_client_test = self._inside_client_test
        conn = self.get_context().connect(*args, **kw_args)
        global _lock, _all_contexts
        with _lock:
            _all_contexts.add(self._cxt.handler)
        return conn

    def disconnect(self, *args, **kw_args):
        global _lock, _all_contexts, _default_context
        with _lock:
            if _default_context == self.get_context():
                for cxt in _all_contexts:
                    cxt.disconnect(*args, **kw_args)
                _all_contexts = set()
            else:
                self.get_context().disconnect(*args, **kw_args)
            if self.get_context() in _all_contexts:
                _all_contexts.remove(self.get_context())
            if len(_all_contexts) == 0:
                _explicitly_disable_client_mode()

    def remote(self, *args, **kwargs):
        return self.get_context().remote(*args, **kwargs)

    def __getattr__(self, name):
        return self.get_context().__getattr__(name)

    def is_connected(self, *args, **kwargs):
        return self.get_context().is_connected(*args, **kwargs)

    def init(self, *args, **kwargs):
        ret = self.get_context().init(*args, **kwargs)
        global _lock, _all_contexts
        with _lock:
            _all_contexts.add(self._cxt.handler)
        return ret

    def shutdown(self, *args, **kwargs):
        global _lock, _all_contexts
        with _lock:
            if _default_context == self.get_context():
                for cxt in _all_contexts:
                    cxt.shutdown(*args, **kwargs)
                _all_contexts = set()
            else:
                self.get_context().shutdown(*args, **kwargs)
            if self.get_context() in _all_contexts:
                _all_contexts.remove(self.get_context())
            if len(_all_contexts) == 0:
                _explicitly_disable_client_mode()


ray = RayAPIStub()


@DeveloperAPI
def num_connected_contexts():
    """Return the number of client connections active."""
    global _lock, _all_contexts
    with _lock:
        return len(_all_contexts)


# Someday we might add methods in this module so that someone who
# tries to `import ray_client as ray` -- as a module, instead of
# `from ray_client import ray` -- as the API stub
# still gets expected functionality. This is the way the ray package
# worked in the past.
#
# This really calls for PEP 562: https://www.python.org/dev/peps/pep-0562/
# But until Python 3.6 is EOL, here we are.
