"""This module implements the Scraper component which parses responses and
extracts information from them"""

import logging
from collections import deque

from twisted.python.failure import Failure
from twisted.internet import defer

from scrapy.utils.defer import defer_result, defer_succeed, parallel, iter_errback
from scrapy.utils.spider import iterate_spider_output
from scrapy.utils.misc import load_object
from scrapy.utils.log import logformatter_adapter, failure_to_exc_info
from scrapy.exceptions import CloseSpider, DropItem, IgnoreRequest
from scrapy import signals
from scrapy.http import Request, Response
from scrapy.item import BaseItem
from scrapy.core.spidermw import SpiderMiddlewareManager
from scrapy.utils.request import referer_str

logger = logging.getLogger(__name__)


class Slot(object):
    """Scraper slot (one per running spider)"""

    MIN_RESPONSE_SIZE = 1024

    def __init__(self, max_active_size=5000000):
        self.max_active_size = max_active_size
        self.queue = deque()
        self.active = set()
        self.active_size = 0
        self.itemproc_size = 0
        self.closing = None

    def add_response_request(self, response, request):
        deferred = defer.Deferred()
        self.queue.append((response, request, deferred))
        if isinstance(response, Response):
            self.active_size += max(len(response.body), self.MIN_RESPONSE_SIZE)
        else:
            self.active_size += self.MIN_RESPONSE_SIZE
        return deferred

    def next_response_request_deferred(self):
        response, request, deferred = self.queue.popleft()
        self.active.add(request)
        return response, request, deferred

    def finish_response(self, response, request):
        self.active.remove(request)
        if isinstance(response, Response):
            self.active_size -= max(len(response.body), self.MIN_RESPONSE_SIZE)
        else:
            self.active_size -= self.MIN_RESPONSE_SIZE

    def is_idle(self):
        return not (self.queue or self.active)

    def needs_backout(self):
        return self.active_size > self.max_active_size


class Scraper(object):

    def __init__(self, crawler):
        self.slot = None
        self.spidermw = SpiderMiddlewareManager.from_crawler(crawler)
        itemproc_cls = load_object(crawler.settings['ITEM_PROCESSOR'])
        self.itemproc = itemproc_cls.from_crawler(crawler)
        self.concurrent_items = crawler.settings.getint('CONCURRENT_ITEMS')
        self.crawler = crawler
        self.signals = crawler.signals
        self.logformatter = crawler.logformatter

    @defer.inlineCallbacks
    def open_spider(self, spider):
        """Open the given spider for scraping and allocate resources for it"""
        self.slot = Slot()
        yield self.itemproc.open_spider(spider)

    def close_spider(self, spider):
        """Close a spider being scraped and release its resources"""
        slot = self.slot
        slot.closing = defer.Deferred()
        slot.closing.addCallback(self.itemproc.close_spider)
        self._check_if_closing(spider, slot)
        return slot.closing

    def is_idle(self):
        """Return True if there isn't any more spiders to process"""
        return not self.slot

    def _check_if_closing(self, spider, slot):
        if slot.closing and slot.is_idle():
            slot.closing.callback(spider)

    def enqueue_scrape(self, response, request, spider):
        slot = self.slot
        dfd = slot.add_response_request(response, request)
        def finish_scraping(_):
            slot.finish_response(response, request)
            self._check_if_closing(spider, slot)
            self._scrape_next(spider, slot)
            return _
        dfd.addBoth(finish_scraping)
        dfd.addErrback(
            lambda f: logger.error('Scraper bug processing %(request)s',
                                   {'request': request},
                                   exc_info=failure_to_exc_info(f),
                                   extra={'spider': spider}))
        self._scrape_next(spider, slot)
        return dfd

    def _scrape_next(self, spider, slot):
        while slot.queue:
            response, request, deferred = slot.next_response_request_deferred()
            self._scrape(response, request, spider).chainDeferred(deferred)

    def _scrape(self, response, request, spider):
        """Handle the downloaded response or failure through the spider
        callback/errback"""
        assert isinstance(response, (Response, Failure))

        dfd = self._scrape2(response, request, spider) # returns spiders processed output
        dfd.addErrback(self.handle_spider_error, request, response, spider)
        dfd.addCallback(self.handle_spider_output, request, response, spider)
        return dfd

    def _scrape2(self, request_result, request, spider):
        """Handle the different cases of request's result been a Response or a
        Failure"""
        if not isinstance(request_result, Failure):
            return self.spidermw.scrape_response(
                self.call_spider, request_result, request, spider)
        else:
            # FIXME: don't ignore errors in spider middleware
            dfd = self.call_spider(request_result, request, spider)
            return dfd.addErrback(
                self._log_download_errors, request_result, request, spider)

    def call_spider(self, result, request, spider):
        result.request = request
        dfd = defer_result(result)
        dfd.addCallbacks(request.callback or spider.parse, request.errback)
        return dfd.addCallback(iterate_spider_output)

    def handle_spider_error(self, _failure, request, response, spider):
        exc = _failure.value
        if isinstance(exc, CloseSpider):
            self.crawler.engine.close_spider(spider, exc.reason or 'cancelled')
            return
        logger.error(
            "Spider error processing %(request)s (referer: %(referer)s)",
            {'request': request, 'referer': referer_str(request)},
            exc_info=failure_to_exc_info(_failure),
            extra={'spider': spider}
        )
        self.signals.send_catch_log(
            signal=signals.spider_error,
            failure=_failure, response=response,
            spider=spider
        )
        self.crawler.stats.inc_value(
            "spider_exceptions/%s" % _failure.value.__class__.__name__,
            spider=spider
        )

    def handle_spider_output(self, result, request, response, spider):
        if not result:
            return defer_succeed(None)
        it = iter_errback(result, self.handle_spider_error, request, response, spider)
        dfd = parallel(it, self.concurrent_items,
            self._process_spidermw_output, request, response, spider)
        return dfd

    def _process_spidermw_output(self, output, request, response, spider):