import os
import logging
import datetime
import collections
from pylons import config
from ga_model import _normalize_url
import ga_model
 
#from ga_client import GA
 
log = logging.getLogger('ckanext.ga-report')
 
FORMAT_MONTH = '%Y-%m'
MIN_VIEWS = 50
MIN_VISITS = 20
MIN_DOWNLOADS = 10
 
class DownloadAnalytics(object):
    '''Downloads and stores analytics info'''
 
    def __init__(self, service=None, profile_id=None, delete_first=False,
                 skip_url_stats=False):
        self.period = config['ga-report.period']
        self.service = service
        self.profile_id = profile_id
        self.delete_first = delete_first
        self.skip_url_stats = skip_url_stats
 
    def specific_month(self, date):
        import calendar
 
        first_of_this_month = datetime.datetime(date.year, date.month, 1)
        _, last_day_of_month = calendar.monthrange(int(date.year), int(date.month))
        last_of_this_month =  datetime.datetime(date.year, date.month, last_day_of_month)
        # if this is the latest month, note that it is only up until today
        now = datetime.datetime.now()
        if now.year == date.year and now.month == date.month:
            last_day_of_month = now.day
            last_of_this_month = now
        periods = ((date.strftime(FORMAT_MONTH),
                    last_day_of_month,
                    first_of_this_month, last_of_this_month),)
        self.download_and_store(periods)
 
 
    def latest(self):
        if self.period == 'monthly':
            # from first of this month to today
            now = datetime.datetime.now()
            first_of_this_month = datetime.datetime(now.year, now.month, 1)
            periods = ((now.strftime(FORMAT_MONTH),
                        now.day,
                        first_of_this_month, now),)
        else:
            raise NotImplementedError
        self.download_and_store(periods)
 
 
    def for_date(self, for_date):
        assert isinstance(since_date, datetime.datetime)
        periods = [] # (period_name, period_complete_day, start_date, end_date)
        if self.period == 'monthly':
            first_of_the_months_until_now = []
            year = for_date.year
            month = for_date.month
            now = datetime.datetime.now()
            first_of_this_month = datetime.datetime(now.year, now.month, 1)
            while True:
                first_of_the_month = datetime.datetime(year, month, 1)
                if first_of_the_month == first_of_this_month:
                    periods.append((now.strftime(FORMAT_MONTH),
                                    now.day,
                                    first_of_this_month, now))
                    break
                elif first_of_the_month < first_of_this_month:
                    in_the_next_month = first_of_the_month + datetime.timedelta(40)
                    last_of_the_month = datetime.datetime(in_the_next_month.year,
                                                           in_the_next_month.month, 1)\
                                                           - datetime.timedelta(1)
                    periods.append((now.strftime(FORMAT_MONTH), 0,
                                    first_of_the_month, last_of_the_month))
                else:
                    # first_of_the_month has got to the future somehow
                    break
                month += 1
                if month > 12:
                    year += 1
                    month = 1
        else:
            raise NotImplementedError
        self.download_and_store(periods)
 
    @staticmethod
    def get_full_period_name(period_name, period_complete_day):
        if period_complete_day:
            return period_name + ' (up to %ith)' % period_complete_day
        else:
            return period_name
 
 
    def download_and_store(self, periods):
        for period_name, period_complete_day, start_date, end_date in periods:
            log.info('Period "%s" (%s - %s)',
                     self.get_full_period_name(period_name, period_complete_day),
                     start_date.strftime('%Y-%m-%d'),
                     end_date.strftime('%Y-%m-%d'))
 
            if self.delete_first:
                log.info('Deleting existing Analytics for this period "%s"',
                         period_name)
                ga_model.delete(period_name)
 
            if not self.skip_url_stats:
                # Clean out old url data before storing the new
                ga_model.pre_update_url_stats(period_name)
 
                accountName = config.get('googleanalytics.account')
 
                log.info('Downloading analytics for dataset views')
                data = self.download(start_date, end_date, '~/%s/dataset/[a-z0-9-_]+' % accountName)
 
                log.info('Storing dataset views (%i rows)', len(data.get('url')))
                self.store(period_name, period_complete_day, data, )
 
                log.info('Downloading analytics for publisher views')
                data = self.download(start_date, end_date, '~/%s/publisher/[a-z0-9-_]+' % accountName)
 
                log.info('Storing publisher views (%i rows)', len(data.get('url')))
                self.store(period_name, period_complete_day, data,)
 
                # Make sure the All records are correct.
                ga_model.post_update_url_stats()
 
                log.info('Aggregating datasets by publisher')
                ga_model.update_publisher_stats(period_name) # about 30 seconds.
 
 
            log.info('Downloading and storing analytics for site-wide stats')
            self.sitewide_stats( period_name, period_complete_day )
 
            log.info('Downloading and storing analytics for social networks')
            self.update_social_info(period_name, start_date, end_date)
 
 
    def update_social_info(self, period_name, start_date, end_date):
        start_date = start_date.strftime('%Y-%m-%d')
        end_date = end_date.strftime('%Y-%m-%d')
        query = 'ga:hasSocialSourceReferral=~Yes$'
        metrics = 'ga:entrances'
        sort = '-ga:entrances'
 
        # Supported query params at
        # https://developers.google.com/analytics/devguides/reporting/core/v3/reference
        results = self.service.data().ga().get(
                                 ids='ga:' + self.profile_id,
                                 filters=query,
                                 start_date=start_date,
                                 metrics=metrics,
                                 sort=sort,
                                 dimensions="ga:landingPagePath,ga:socialNetwork",
                                 max_results=10000,
                                 end_date=end_date).execute()
        data = collections.defaultdict(list)
        rows = results.get('rows',[])
        for row in rows:
            url = _normalize_url('http:/' + row[0])
            data[url].append( (row[1], int(row[2]),) )
        ga_model.update_social(period_name, data)
 
 
    def download(self, start_date, end_date, path=None):
        '''Get data from GA for a given time period'''
        start_date = start_date.strftime('%Y-%m-%d')
        end_date = end_date.strftime('%Y-%m-%d')
        query = 'ga:pagePath=%s$' % path
        metrics = 'ga:pageviews, ga:visits'
        sort = '-ga:pageviews'
 
        # Supported query params at
        # https://developers.google.com/analytics/devguides/reporting/core/v3/reference
        results = self.service.data().ga().get(
                                 ids='ga:' + self.profile_id,
                                 filters=query,
                                 start_date=start_date,
                                 metrics=metrics,
                                 sort=sort,
                                 dimensions="ga:pagePath",
                                 max_results=10000,
                                 end_date=end_date).execute()
 
        packages = []
        log.info("There are %d results" % results['totalResults'])
        for entry in results.get('rows'):
            (loc,pageviews,visits) = entry
            url = _normalize_url('http:/' + loc) # strips off domain e.g. www.data.gov.uk or data.gov.uk
 
            if not url.startswith('/dataset/') and not url.startswith('/publisher/'):
                # filter out strays like:
                # /data/user/login?came_from=http://data.gov.uk/dataset/os-code-point-open
                # /403.html?page=/about&from=http://data.gov.uk/publisher/planning-inspectorate
                continue
            packages.append( (url, pageviews, visits,) ) # Temporary hack
        return dict(url=packages)
 
    def store(self, period_name, period_complete_day, data):
        if 'url' in data:
            ga_model.update_url_stats(period_name, period_complete_day, data['url'])
 
    def sitewide_stats(self, period_name, period_complete_day):
        import calendar
        year, month = period_name.split('-')
        _, last_day_of_month = calendar.monthrange(int(year), int(month))
 
        start_date = '%s-01' % period_name
        end_date = '%s-%s' % (period_name, last_day_of_month)
        funcs = ['_totals_stats', '_social_stats', '_os_stats',
                 '_locale_stats', '_browser_stats', '_mobile_stats', '_download_stats']
        for f in funcs:
            log.info('Downloading analytics for %s' % f.split('_')[1])
            getattr(self, f)(start_date, end_date, period_name, period_complete_day)
 
    def _get_results(result_data, f):
        data = {}
        for result in result_data:
            key = f(result)
            data[key] = data.get(key,0) + result[1]
        return data
 
    def _totals_stats(self, start_date, end_date, period_name, period_complete_day):
        """ Fetches distinct totals, total pageviews etc """
        results = self.service.data().ga().get(
                                 ids='ga:' + self.profile_id,
                                 start_date=start_date,
                                 metrics='ga:pageviews',
                                 sort='-ga:pageviews',
                                 max_results=10000,
                                 end_date=end_date).execute()
        result_data = results.get('rows')
        ga_model.update_sitewide_stats(period_name, "Totals", {'Total page views': result_data[0][0]},
            period_complete_day)
 
        results = self.service.data().ga().get(
                                 ids='ga:' + self.profile_id,
                                 start_date=start_date,
                                 metrics='ga:pageviewsPerVisit,ga:avgTimeOnSite,ga:percentNewVisits,ga:visits',
                                 max_results=10000,
                                 end_date=end_date).execute()
        result_data = results.get('rows')
        data = {
            'Pages per visit': result_data[0][0],
            'Average time on site': result_data[0][1],
            'New visits': result_data[0][2],
            'Total visits': result_data[0][3],
        }
        ga_model.update_sitewide_stats(period_name, "Totals", data, period_complete_day)
 
        # Bounces from / or another configurable page.
        path = '/%s%s' % (config.get('googleanalytics.account'),
                          config.get('ga-report.bounce_url', '/'))
        results = self.service.data().ga().get(
                                 ids='ga:' + self.profile_id,
                                 filters='ga:pagePath==%s' % (path,),
                                 start_date=start_date,
                                 metrics='ga:visitBounceRate',
                                 dimensions='ga:pagePath',
                                 max_results=10000,
                                 end_date=end_date).execute()
        result_data = results.get('rows')
        if not result_data or len(result_data) != 1:
            log.error('Could not pinpoint the bounces for path: %s. Got results: %r',
                      path, result_data)
            return
        results = result_data[0]
        bounces = float(results[1])
        # visitBounceRate is already a %
        log.info('Google reports visitBounceRate as %s', bounces)
        ga_model.update_sitewide_stats(period_name, "Totals", {'Bounce rate (home page)': float(bounces)},
            period_complete_day)
 
 
    def _locale_stats(self, start_date, end_date, period_name, period_complete_day):
        """ Fetches stats about language and country """
        results = self.service.data().ga().get(
                                 ids='ga:' + self.profile_id,
                                 start_date=start_date,
                                 metrics='ga:pageviews',
                                 sort='-ga:pageviews',
                                 dimensions="ga:language,ga:country",
                                 max_results=10000,
                                 end_date=end_date).execute()
        result_data = results.get('rows')
        data = {}
        for result in result_data:
            data[result[0]] = data.get(result[0], 0) + int(result[2])
        self._filter_out_long_tail(data, MIN_VIEWS)
        ga_model.update_sitewide_stats(period_name, "Languages", data, period_complete_day)
 
        data = {}
        for result in result_data:
            data[result[1]] = data.get(result[1], 0) + int(result[2])
        self._filter_out_long_tail(data, MIN_VIEWS)
        ga_model.update_sitewide_stats(period_name, "Country", data, period_complete_day)
 
 
    def _download_stats(self, start_date, end_date, period_name, period_complete_day):
        """ Fetches stats about language and country """
        import ckan.model as model
 
        data = {}
 
        results = self.service.data().ga().get(
                                 ids='ga:' + self.profile_id,
      &nbs