# -*- coding: utf-8 -*-
# !/usr/bin/env python

import abc
import copy
from Queue import Queue
from abc import abstractmethod
from threading import RLock

import six

from .exceptions import InvalidParams


class AbstractBucket(six.with_metaclass(abc.ABCMeta)):
    """Documentation for AbstractBucket"""

    def __init__(self, maxsize = 0, **_kwargs):
        self._maxsize = maxsize

    def maxsize(self):
        """Return the maximum size of the bucket,
        ie the maxinum number of item this bucket can hold
        """
        return self._maxsize

    @abstractmethod
    def size(self):
        """Return the current size of the bucket,
        ie the count of all items currently in the bucket
        """

    @abstractmethod
    def put(self, item):
        """Put an item (typically the current time) in the bucket
        Return 1 if successful, else 0
        """

    @abstractmethod
    def get(self, number):
        """Get items and remove them from the bucket in the FIFO fashion
        Return the number of items that have been removed
        """

    @abstractmethod
    def all_items(self):
        """Return a list as copies of all items in the bucket"""

    def inspect_expired_items(self, time):
        """Find how many items in bucket that have slipped out of the time-window"""
        volume = self.size()
        item_count, remaining_time = 0, 0

        for log_idx, log_item in enumerate(self.all_items()):
            if log_item > time:
                item_count = volume - log_idx
                remaining_time = log_item - time
                break

        return item_count, remaining_time


class MemoryQueueBucket(AbstractBucket):
    """A bucket that resides in memory
    using python's built-in Queue class
    """

    def __init__(self, maxsize = 0, **kwargs):
        super(MemoryQueueBucket, self).__init__()
        self._q = Queue(maxsize = maxsize)

    def size(self):
        return self._q.qsize()

    def put(self, item):
        return self._q.put(item)

    def get(self, number):
        counter = 0
        for _ in range(number):
            self._q.get()
            counter += 1

        return counter

    def all_items(self):
        return list(self._q.queue)


class MemoryListBucket(AbstractBucket):
    """A bucket that resides in memory
    using python's List
    """

    def __init__(self, maxsize = 0, **kwargs):
        super(MemoryListBucket, self).__init__(maxsize = maxsize)
        self._q = []
        self._lock = RLock()

    def size(self):
        return len(self._q)

    def put(self, item):
        with self._lock:
            if self.size() < self.maxsize():
                self._q.append(item)
                return 1
            return 0

    def get(self, number):
        with self._lock:
            counter = 0
            for _ in range(number):
                self._q.pop(0)
                counter += 1

            return counter

    def all_items(self):
        return copy.copy(self._q)


class RedisBucket(AbstractBucket):
    """A bucket with Redis
    using List
    """

    def __init__(
            self,
            maxsize = 0,
            redis_pool = None,
            bucket_name = None,
            identity = None,
            **kwargs
    ):
        super(RedisBucket, self).__init__(maxsize = maxsize)

        if not bucket_name or not isinstance(bucket_name, str):
            msg = "keyword argument bucket-name is missing: a distict name is required"
            raise InvalidParams(msg)

        self._pool = redis_pool
        self._bucket_name = "{bucket_name}___{identity}".format(bucket_name = bucket_name, identity = identity)

    def get_connection(self):
        """Obtain a connection from redis pool"""
        from redis import Redis  # pylint: disable=import-outside-toplevel

        return Redis(connection_pool = self._pool)

    def get_pipeline(self):
        """Using redis pipeline for batch operation"""
        conn = self.get_connection()
        pipeline = conn.pipeline()
        return pipeline

    def size(self):
        conn = self.get_connection()
        return conn.llen(self._bucket_name)

    def put(self, item):
        conn = self.get_connection()
        current_size = conn.llen(self._bucket_name)

        if current_size < self.maxsize():
            conn.rpush(self._bucket_name, item)
            return 1

        return 0

    def get(self, number):
        pipeline = self.get_pipeline()
        counter = 0

        for _ in range(number):
            pipeline.lpop(self._bucket_name)
            counter += 1

        pipeline.execute()
        return counter

    def all_items(self):
        conn = self.get_connection()
        items = conn.lrange(self._bucket_name, 0, -1)
        return [float(i.decode("utf-8")) for i in items]