from six import binary_type
from typing import Any, Callable, Dict, List, Tuple, Text

# This file needs to be different from cache.py because cache.py
# cannot import anything from zerver.models or we'd have an import
# loop
from django.conf import settings
from zerver.models import Message, UserProfile, Stream, get_stream_cache_key, \
    Recipient, get_recipient_cache_key, Client, get_client_cache_key, \
    Huddle, huddle_hash_cache_key
from zerver.lib.cache import cache_with_key, cache_set, \
    user_profile_by_api_key_cache_key, \
    user_profile_by_email_cache_key, \
    user_profile_by_id_cache_key, \
    user_profile_cache_key, get_remote_cache_time, get_remote_cache_requests, \
    cache_set_many, to_dict_cache_key_id
from importlib import import_module
from django.contrib.sessions.models import Session
import logging
from django.db.models import Q

MESSAGE_CACHE_SIZE = 75000

def message_fetch_objects():
    # type: () -> List[Any]
    try:
        max_id = Message.objects.only('id').order_by("-id")[0].id
    except IndexError:
        return []
    return Message.objects.select_related().filter(~Q(sender__email='tabbott/extra@mit.edu'),
                                                   id__gt=max_id - MESSAGE_CACHE_SIZE)

def message_cache_items(items_for_remote_cache, message):
    # type: (Dict[Text, Tuple[binary_type]], Message) -> None
    items_for_remote_cache[to_dict_cache_key_id(message.id, True)] = (message.to_dict_uncached(True),)

def user_cache_items(items_for_remote_cache, user_profile):
    # type: (Dict[Text, Tuple[UserProfile]], UserProfile) -> None
    items_for_remote_cache[user_profile_by_email_cache_key(user_profile.email)] = (user_profile,)
    items_for_remote_cache[user_profile_by_id_cache_key(user_profile.id)] = (user_profile,)
    items_for_remote_cache[user_profile_by_api_key_cache_key(user_profile.api_key)] = (user_profile,)
    items_for_remote_cache[user_profile_cache_key(user_profile.email, user_profile.realm)] = (user_profile,)

def stream_cache_items(items_for_remote_cache, stream):
    # type: (Dict[Text, Tuple[Stream]], Stream) -> None
    items_for_remote_cache[get_stream_cache_key(stream.name, stream.realm_id)] = (stream,)

def client_cache_items(items_for_remote_cache, client):
    # type: (Dict[Text, Tuple[Client]], Client) -> None
    items_for_remote_cache[get_client_cache_key(client.name)] = (client,)

def huddle_cache_items(items_for_remote_cache, huddle):
    # type: (Dict[Text, Tuple[Huddle]], Huddle) -> None
    items_for_remote_cache[huddle_hash_cache_key(huddle.huddle_hash)] = (huddle,)

def recipient_cache_items(items_for_remote_cache, recipient):
    # type: (Dict[Text, Tuple[Recipient]], Recipient) -> None
    items_for_remote_cache[get_recipient_cache_key(recipient.type, recipient.type_id)] = (recipient,)

session_engine = import_module(settings.SESSION_ENGINE)
def session_cache_items(items_for_remote_cache, session):
    # type: (Dict[Text, Text], Session) -> None
    store = session_engine.SessionStore(session_key=session.session_key)  # type: ignore # import_module
    items_for_remote_cache[store.cache_key] = store.decode(session.session_data)

# Format is (objects query, items filler function, timeout, batch size)
#
# The objects queries are put inside lambdas to prevent Django from
# doing any setup for things we're unlikely to use (without the lambda
# wrapper the below adds an extra 3ms or so to startup time for
# anything importing this file).
cache_fillers = {
    'user': (lambda: UserProfile.objects.select_related().all(), user_cache_items, 3600*24*7, 10000),
    'client': (lambda: Client.objects.select_related().all(), client_cache_items, 3600*24*7, 10000),
    'recipient': (lambda: Recipient.objects.select_related().all(), recipient_cache_items, 3600*24*7, 10000),
    'stream': (lambda: Stream.objects.select_related().all(), stream_cache_items, 3600*24*7, 10000),
    # Message cache fetching disabled until we can fix the fact that it
    # does a bunch of inefficient memcached queries as part of filling
    # the display_recipient cache
    #    'message': (message_fetch_objects, message_cache_items, 3600 * 24, 1000),
    'huddle': (lambda: Huddle.objects.select_related().all(), huddle_cache_items, 3600*24*7, 10000),
    'session': (lambda: Session.objects.all(), session_cache_items, 3600*24*7, 10000),
}  # type: Dict[str, Tuple[Callable[[], List[Any]], Callable[[Dict[Text, Any], Any], None], int, int]]

def fill_remote_cache(cache):
    # type: (str) -> None
    remote_cache_time_start = get_remote_cache_time()
    remote_cache_requests_start = get_remote_cache_requests()
    items_for_remote_cache = {}  # type: Dict[Text, Any]
    (objects, items_filler, timeout, batch_size) = cache_fillers[cache]
    count = 0
    for obj in objects():
        items_filler(items_for_remote_cache, obj)
        count += 1
        if (count % batch_size == 0):
            cache_set_many(items_for_remote_cache, timeout=3600*24)
            items_for_remote_cache = {}
    cache_set_many(items_for_remote_cache, timeout=3600*24*7)
    logging.info("Succesfully populated %s cache!  Consumed %s remote cache queries (%s time)" %
                 (cache, get_remote_cache_requests() - remote_cache_requests_start,
                  round(get_remote_cache_time() - remote_cache_time_start, 2)))