import asyncio
import collections
import io
import reprlib
import time
import weakref
import logging
from operator import attrgetter

from defence360agent.contracts.messages import Message, Reject
from defence360agent.contracts.plugins import BaseMessageProcessor
from defence360agent.internals.feature_flags import (
    is_enabled,
    mqtt_tracked_methods,
)
from defence360agent.internals.message_status_publisher import (
    Gen,
    message_id_gen,
    publisher,
)
from defence360agent.utils import safe_cancel_task
from defence360agent.utils.common import DAY, ServiceBase, rate_limit
from defence360agent.internals.global_scope import g

logger = logging.getLogger(__name__)

_reporter_gen_sink = Gen()

ProcessingMessage = collections.namedtuple(
    "ProcessingMessage", ["message", "start_time"]
)


class TheSink(BaseMessageProcessor):
    def __init__(self, sink_list, loop):
        self._sinks_ordered = sorted(
            sink_list, key=attrgetter("PROCESSING_ORDER")
        )
        self._loop = loop
        self._task_manager = TaskManager(
            loop, MessageProcessor(self._sinks_ordered)
        )
        g.sink = self

    def __repr__(self):
        return "%s.%s" % (self.__class__.__module__, self.__class__.__name__)

    def decompose(self, classobj):
        """
        introspection: decompose a specific role
        :return classobj: instance or None
        """
        options = [
            sink for sink in self._sinks_ordered if isinstance(sink, classobj)
        ]
        assert len(options) <= 1, "Ambiguous request"
        return next(iter(options), None)

    def start(self):
        """
        Make sure to run message processing bus only
        when every MessageSource (or MessageSource+MessageSink mix)
        got initialized
        """
        self._task_manager.start()

    async def shutdown(self):
        logger.info("shutdown the sink started")
        self._task_manager.should_stop()
        logger.info("wait for current tasks")
        await self._task_manager.wait_current_tasks(timeout=5)
        logger.info("finish wait task")
        await self._task_manager.wait()

    async def process_message(self, message):
        await self._task_manager.push_msg(message)


class TaskManager(ServiceBase):
    # max queue message size
    MAXSIZE = 100000
    # number of concurrently processed messages
    CONCURRENCY = 5
    # how long an individual message may be processed
    TIMEOUT = 3600  # seconds

    def __init__(self, loop, msg_processor):
        super().__init__(loop)
        self._queue = MessageQueue(maxsize=self.MAXSIZE)
        self._concurrency = self.CONCURRENCY
        self._process_message_timeout = self.TIMEOUT
        self._msg_processor = msg_processor
        self.tasks = weakref.WeakSet()
        self._throttled_logger = rate_limit(period=DAY, on_drop=logger.warning)
        self.throttled_log_error = self._throttled_logger(logger.error)

    async def push_msg(self, msg):
        """Push message unless the queue is full."""
        if not self._queue.full():
            await self._queue.put(MessageComparable(msg))
        else:
            if self._throttled_logger.should_be_called:  # send to Sentry
                args = (
                    (
                        "Message queue is full %s. "
                        "Current processing messages: %s. Message ignored: %s"
                    ),
                    self._queue,
                    self.current_processing_messages,
                    msg,
                )
            else:  # don't serialize the queue on each log warning entry
                args = (
                    (
                        "Message queue is full. Queue size: %s "
                        "Current processing messages: %s. Message ignored: %s"
                    ),
                    self._queue.qsize(),
                    self.current_processing_messages,
                    msg,
                )
            self.throttled_log_error(*args)

    @property
    def current_processing_messages(self):
        # the loop should be safe (no ref should be removed from the weak
        # set while iterating)
        # https://stackoverflow.com/questions/12428026/safely-iterating-over-weakkeydictionary-and-weakvaluedictionary  # noqa
        # the loop is constant time because
        # len(self.tasks) == self._concurrency (fixed & small)
        return tuple(
            (
                task.processing_msg.message,
                round(time.monotonic() - task.processing_msg.start_time, 4),
            )
            for task in self.tasks
            if not task.done()
        )

    async def wait_current_tasks(self, timeout=None):
        if self.tasks:
            msg_to_process = [
                (m.get("method"), m.get("message_id"), lasting)
                for m, lasting in self.current_processing_messages
            ]
            logger.info(
                "Waiting for %r processing to finish",
                msg_to_process,
            )
            await asyncio.wait(self.tasks, timeout=timeout)

    async def _run(self):
        semaphore = asyncio.BoundedSemaphore(self._concurrency)
        try:
            while not self._should_stop:
                logger.debug("Message queue size: %s", self._queue.qsize())
                try:
                    await self.__limit_concurrency(semaphore)
                    msg_comparable = await self._queue.get()
                except asyncio.CancelledError:
                    break
                t = self._loop.create_task(
                    self._msg_processor(msg_comparable.msg)
                )  # type: asyncio.Task
                t.processing_msg = ProcessingMessage(
                    msg_comparable.msg, time.monotonic()
                )
                t.add_done_callback(lambda _: semaphore.release())
                t.add_done_callback(self._on_msg_processed)
                self.tasks.add(t)
            unprocessed = self._queue.qsize()
            if unprocessed:
                logger.warning(
                    "There is still %s unprocessed messages in the queue",
                    self._queue.qsize(),
                )
        except:  # NOQA
            logger.exception("Error during message processing:")

    async def __limit_concurrency(self, semaphore):
        """Try to acquire *semaphore* in a loop, log error on timeout."""
        while True:
            try:
                return await asyncio.wait_for(
                    semaphore.acquire(),
                    timeout=self._process_message_timeout,
                )
            except asyncio.TimeoutError:
                self.throttled_log_error(
                    "Message hasn't been processed in %s seconds",
                    self._process_message_timeout,
                )

    @staticmethod
    def _on_msg_processed(future):
        e = future.exception()
        if e:
            logger.exception("Error during message processing:", exc_info=e)


async def cancel_task(task):
    if not task.done():
        await safe_cancel_task(task)


class MessageProcessor(object):
    TIMEOUT_TO_SINK_PROCESS = 3600

    def __init__(self, sinks):
        self.sinks = sinks
        self.locks = weakref.WeakValueDictionary()
        self.throttled_log_error = rate_limit(period=60 * 60)(
            logger.error
        )  # send event to Sentry once an hour

    async def __call__(self, msg):
        ip = msg.get("attackers_ip")
        if ip:
            lock = self.locks.setdefault(ip, asyncio.Lock())
            async with lock:
                await self._call_unlocked(msg)
        else:
            await self._call_unlocked(msg)

    async def _call_unlocked(self, msg):
        # MQTT message-status tracing chokepoint. Enrich first so every
        # downstream stage (sink-received → queued → sending → sent) carries
        # the same message_reporter_id; otherwise sink-received fires before
        # the id exists and gets silently dropped by publisher.report's
        # missing-id guard. Two gates, both required: the master kill-switch
        # and the server-driven per-method allow-list. Adding a new tracked
        # type is a server-side config change — no agent rollout.
        if (
            is_enabled("mqtt_tracking")
            and msg.get("method") in mqtt_tracked_methods()
            and "message_reporter_id" not in msg
        ):
            message_id_gen.enrich(msg)
        publisher.report(msg, _reporter_gen_sink, stage="agent-sink-received")
        start = time.monotonic()
        for sink in self.sinks:
            try:
                process_message_task = asyncio.create_task(
                    sink.process_message(msg)
                )
                processed = await asyncio.wait_for(
                    # shielded only for debug DEF-18627,
                    # it should intercept `CancelledError` that
                    # `asyncio.wait_for` send to `process_message_task`
                    # in case timeout
                    asyncio.shield(process_message_task),
                    timeout=self.TIMEOUT_TO_SINK_PROCESS,
                )
            except asyncio.CancelledError:
                break
            except Reject as e:
                logger.info("Rejected: %s -> %r", str(e), msg)
                return
            except asyncio.TimeoutError:
                # debug for DEF-18627, it's supposed that during this exception
                # handling we will get call stack in logs and see last await
                # that hang out coroutine was made,
                # may be it's give us some hint about problem
                stack = io.StringIO()
                process_message_task.print_stack(file=stack)
                stack.seek(0)
                logger.error(
                    "Message %r was not processed in the %r plugin in %ss; "
                    "Traceback: %s",
                    msg,
                    sink,
                    self.TIMEOUT_TO_SINK_PROCESS,
                    stack.read(),
                )
                return
            except Exception:
                logger.exception("Error processing %r in %r", msg, sink)
                return
            else:
                if isinstance(processed, Message):
                    msg = processed
            finally:
                await cancel_task(process_message_task)
        processing_time = time.monotonic() - start
        logger.info("%s processed in %.4f seconds", msg, processing_time)
        if processing_time > msg.PROCESSING_TIME_THRESHOLD:
            # send to Sentry
            self.throttled_log_error(
                "%s message took longer to process than expected "
                "(%.4f sec > %.4f sec)",
                msg,
                processing_time,
                msg.PROCESSING_TIME_THRESHOLD,
            )


class MessageComparable(object):
    """Wrapper to make message comparable."""

    # needed to keep order
    index = -1

    @staticmethod
    def __new__(cls, msg):
        cls.index += 1
        rv = super().__new__(cls)
        rv.priority = msg.PRIORITY, cls.index
        rv.msg = msg
        return rv

    def __lt__(self, other):
        return self.priority.__lt__(other.priority)

    def __repr__(self):
        return "<{klass}({msg!r}), priority={priority}>".format(
            klass=self.__class__.__name__,
            msg=self.msg,
            priority=self.priority,
        )


class MessageQueue(asyncio.PriorityQueue):
    def __init__(self, *args, **kwargs):
        super().__init__(*args, **kwargs)
        self._repr = reprlib.Repr()
        self._repr.maxstring = 50
        self._repr.maxtuple = 2000

    async def put(self, item: MessageComparable):
        return await super().put(item)

    def __str__(self):
        # NOTE: do not flood console.log with full queue
        msg_counts = sorted(
            collections.Counter(
                [item.msg.__class__.__qualname__ for item in self._queue]
            ).items(),
            key=lambda item: item[1],  # sorted by number of messages
            reverse=True,
        )
        return (
            f"<PriorityQueue maxsize={self.maxsize}; "
            f"queue_size={self.qsize()} "
            f"queue_counter={self._repr.repr(msg_counts)}>"
        )
