| import os | import os |
| import logging | import logging |
| import datetime | import datetime |
| import collections | import collections |
| from pylons import config | from pylons import config |
| from ga_model import _normalize_url | from ga_model import _normalize_url |
| import ga_model | import ga_model |
| #from ga_client import GA | #from ga_client import GA |
| log = logging.getLogger('ckanext.ga-report') | log = logging.getLogger('ckanext.ga-report') |
| FORMAT_MONTH = '%Y-%m' | FORMAT_MONTH = '%Y-%m' |
| MIN_VIEWS = 50 | MIN_VIEWS = 50 |
| MIN_VISITS = 20 | MIN_VISITS = 20 |
| class DownloadAnalytics(object): | class DownloadAnalytics(object): |
| '''Downloads and stores analytics info''' | '''Downloads and stores analytics info''' |
| def __init__(self, service=None, profile_id=None, delete_first=False, | def __init__(self, service=None, profile_id=None, delete_first=False, |
| skip_url_stats=False): | skip_url_stats=False): |
| self.period = config['ga-report.period'] | self.period = config['ga-report.period'] |
| self.service = service | self.service = service |
| self.profile_id = profile_id | self.profile_id = profile_id |
| self.delete_first = delete_first | self.delete_first = delete_first |
| self.skip_url_stats = skip_url_stats | self.skip_url_stats = skip_url_stats |
| def specific_month(self, date): | def specific_month(self, date): |
| import calendar | import calendar |
| first_of_this_month = datetime.datetime(date.year, date.month, 1) | first_of_this_month = datetime.datetime(date.year, date.month, 1) |
| _, last_day_of_month = calendar.monthrange(int(date.year), int(date.month)) | _, 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) | last_of_this_month = datetime.datetime(date.year, date.month, last_day_of_month) |
| periods = ((date.strftime(FORMAT_MONTH), | periods = ((date.strftime(FORMAT_MONTH), |
| last_day_of_month, | last_day_of_month, |
| first_of_this_month, last_of_this_month),) | first_of_this_month, last_of_this_month),) |
| self.download_and_store(periods) | self.download_and_store(periods) |
| def latest(self): | def latest(self): |
| if self.period == 'monthly': | if self.period == 'monthly': |
| # from first of this month to today | # from first of this month to today |
| now = datetime.datetime.now() | now = datetime.datetime.now() |
| first_of_this_month = datetime.datetime(now.year, now.month, 1) | first_of_this_month = datetime.datetime(now.year, now.month, 1) |
| periods = ((now.strftime(FORMAT_MONTH), | periods = ((now.strftime(FORMAT_MONTH), |
| now.day, | now.day, |
| first_of_this_month, now),) | first_of_this_month, now),) |
| else: | else: |
| raise NotImplementedError | raise NotImplementedError |
| self.download_and_store(periods) | self.download_and_store(periods) |
| def for_date(self, for_date): | def for_date(self, for_date): |
| assert isinstance(since_date, datetime.datetime) | assert isinstance(since_date, datetime.datetime) |
| periods = [] # (period_name, period_complete_day, start_date, end_date) | periods = [] # (period_name, period_complete_day, start_date, end_date) |
| if self.period == 'monthly': | if self.period == 'monthly': |
| first_of_the_months_until_now = [] | first_of_the_months_until_now = [] |
| year = for_date.year | year = for_date.year |
| month = for_date.month | month = for_date.month |
| now = datetime.datetime.now() | now = datetime.datetime.now() |
| first_of_this_month = datetime.datetime(now.year, now.month, 1) | first_of_this_month = datetime.datetime(now.year, now.month, 1) |
| while True: | while True: |
| first_of_the_month = datetime.datetime(year, month, 1) | first_of_the_month = datetime.datetime(year, month, 1) |
| if first_of_the_month == first_of_this_month: | if first_of_the_month == first_of_this_month: |
| periods.append((now.strftime(FORMAT_MONTH), | periods.append((now.strftime(FORMAT_MONTH), |
| now.day, | now.day, |
| first_of_this_month, now)) | first_of_this_month, now)) |
| break | break |
| elif first_of_the_month < first_of_this_month: | elif first_of_the_month < first_of_this_month: |
| in_the_next_month = first_of_the_month + datetime.timedelta(40) | in_the_next_month = first_of_the_month + datetime.timedelta(40) |
| last_of_the_month = datetime.datetime(in_the_next_month.year, | last_of_the_month = datetime.datetime(in_the_next_month.year, |
| in_the_next_month.month, 1)\ | in_the_next_month.month, 1)\ |
| - datetime.timedelta(1) | - datetime.timedelta(1) |
| periods.append((now.strftime(FORMAT_MONTH), 0, | periods.append((now.strftime(FORMAT_MONTH), 0, |
| first_of_the_month, last_of_the_month)) | first_of_the_month, last_of_the_month)) |
| else: | else: |
| # first_of_the_month has got to the future somehow | # first_of_the_month has got to the future somehow |
| break | break |
| month += 1 | month += 1 |
| if month > 12: | if month > 12: |
| year += 1 | year += 1 |
| month = 1 | month = 1 |
| else: | else: |
| raise NotImplementedError | raise NotImplementedError |
| self.download_and_store(periods) | self.download_and_store(periods) |
| @staticmethod | @staticmethod |
| def get_full_period_name(period_name, period_complete_day): | def get_full_period_name(period_name, period_complete_day): |
| if period_complete_day: | if period_complete_day: |
| return period_name + ' (up to %ith)' % period_complete_day | return period_name + ' (up to %ith)' % period_complete_day |
| else: | else: |
| return period_name | return period_name |
| def download_and_store(self, periods): | def download_and_store(self, periods): |
| for period_name, period_complete_day, start_date, end_date in periods: | for period_name, period_complete_day, start_date, end_date in periods: |
| log.info('Period "%s" (%s - %s)', | log.info('Period "%s" (%s - %s)', |
| self.get_full_period_name(period_name, period_complete_day), | self.get_full_period_name(period_name, period_complete_day), |
| start_date.strftime('%Y-%m-%d'), | start_date.strftime('%Y-%m-%d'), |
| end_date.strftime('%Y-%m-%d')) | end_date.strftime('%Y-%m-%d')) |
| if self.delete_first: | if self.delete_first: |
| log.info('Deleting existing Analytics for this period "%s"', | log.info('Deleting existing Analytics for this period "%s"', |
| period_name) | period_name) |
| ga_model.delete(period_name) | ga_model.delete(period_name) |
| if not self.skip_url_stats: | if not self.skip_url_stats: |
| # Clean out old url data before storing the new | # Clean out old url data before storing the new |
| ga_model.pre_update_url_stats(period_name) | ga_model.pre_update_url_stats(period_name) |
| accountName = config.get('googleanalytics.account') | accountName = config.get('googleanalytics.account') |
| log.info('Downloading analytics for dataset views') | log.info('Downloading analytics for dataset views') |
| data = self.download(start_date, end_date, '~/%s/dataset/[a-z0-9-_]+' % accountName) | data = self.download(start_date, end_date, '~/%s/dataset/[a-z0-9-_]+' % accountName) |
| log.info('Storing dataset views (%i rows)', len(data.get('url'))) | log.info('Storing dataset views (%i rows)', len(data.get('url'))) |
| self.store(period_name, period_complete_day, data, ) | self.store(period_name, period_complete_day, data, ) |
| log.info('Downloading analytics for publisher views') | log.info('Downloading analytics for publisher views') |
| data = self.download(start_date, end_date, '~/%s/publisher/[a-z0-9-_]+' % accountName) | data = self.download(start_date, end_date, '~/%s/publisher/[a-z0-9-_]+' % accountName) |
| log.info('Storing publisher views (%i rows)', len(data.get('url'))) | log.info('Storing publisher views (%i rows)', len(data.get('url'))) |
| self.store(period_name, period_complete_day, data,) | self.store(period_name, period_complete_day, data,) |
| log.info('Aggregating datasets by publisher') | log.info('Aggregating datasets by publisher') |
| ga_model.update_publisher_stats(period_name) # about 30 seconds. | ga_model.update_publisher_stats(period_name) # about 30 seconds. |
| log.info('Downloading and storing analytics for site-wide stats') | log.info('Downloading and storing analytics for site-wide stats') |
| self.sitewide_stats( period_name, period_complete_day ) | self.sitewide_stats( period_name, period_complete_day ) |
| log.info('Downloading and storing analytics for social networks') | log.info('Downloading and storing analytics for social networks') |
| self.update_social_info(period_name, start_date, end_date) | self.update_social_info(period_name, start_date, end_date) |
| def update_social_info(self, 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') | start_date = start_date.strftime('%Y-%m-%d') |
| end_date = end_date.strftime('%Y-%m-%d') | end_date = end_date.strftime('%Y-%m-%d') |
| query = 'ga:hasSocialSourceReferral=~Yes$' | query = 'ga:hasSocialSourceReferral=~Yes$' |
| metrics = 'ga:entrances' | metrics = 'ga:entrances' |
| sort = '-ga:entrances' | sort = '-ga:entrances' |
| # Supported query params at | # Supported query params at |
| # https://developers.google.com/analytics/devguides/reporting/core/v3/reference | # https://developers.google.com/analytics/devguides/reporting/core/v3/reference |
| results = self.service.data().ga().get( | results = self.service.data().ga().get( |
| ids='ga:' + self.profile_id, | ids='ga:' + self.profile_id, |
| filters=query, | filters=query, |
| start_date=start_date, | start_date=start_date, |
| metrics=metrics, | metrics=metrics, |
| sort=sort, | sort=sort, |
| dimensions="ga:landingPagePath,ga:socialNetwork", | dimensions="ga:landingPagePath,ga:socialNetwork", |
| max_results=10000, | max_results=10000, |
| end_date=end_date).execute() | end_date=end_date).execute() |
| data = collections.defaultdict(list) | data = collections.defaultdict(list) |
| rows = results.get('rows',[]) | rows = results.get('rows',[]) |
| for row in rows: | for row in rows: |
| data[_normalize_url(row[0])].append( (row[1], int(row[2]),) ) | url = _normalize_url('http:/' + row[0]) |
| data[url].append( (row[1], int(row[2]),) ) | |
| ga_model.update_social(period_name, data) | ga_model.update_social(period_name, data) |
| def download(self, start_date, end_date, path=None): | def download(self, start_date, end_date, path=None): |
| '''Get data from GA for a given time period''' | '''Get data from GA for a given time period''' |
| start_date = start_date.strftime('%Y-%m-%d') | start_date = start_date.strftime('%Y-%m-%d') |
| end_date = end_date.strftime('%Y-%m-%d') | end_date = end_date.strftime('%Y-%m-%d') |
| query = 'ga:pagePath=%s$' % path | query = 'ga:pagePath=%s$' % path |
| metrics = 'ga:pageviews, ga:visits' | metrics = 'ga:pageviews, ga:visits' |
| sort = '-ga:pageviews' | sort = '-ga:pageviews' |
| # Supported query params at | # Supported query params at |
| # https://developers.google.com/analytics/devguides/reporting/core/v3/reference | # https://developers.google.com/analytics/devguides/reporting/core/v3/reference |
| results = self.service.data().ga().get( | results = self.service.data().ga().get( |
| ids='ga:' + self.profile_id, | ids='ga:' + self.profile_id, |
| filters=query, | filters=query, |
| start_date=start_date, | start_date=start_date, |
| metrics=metrics, | metrics=metrics, |
| sort=sort, | sort=sort, |
| dimensions="ga:pagePath", | dimensions="ga:pagePath", |
| max_results=10000, | max_results=10000, |
| end_date=end_date).execute() | end_date=end_date).execute() |
| packages = [] | packages = [] |
| for entry in results.get('rows'): | for entry in results.get('rows'): |
| (loc,pageviews,visits) = entry | (loc,pageviews,visits) = entry |
| url = _normalize_url('http:/' + loc) # strips off domain e.g. www.data.gov.uk or data.gov.uk | 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/'): | if not url.startswith('/dataset/') and not url.startswith('/publisher/'): |
| # filter out strays like: | # filter out strays like: |
| # /data/user/login?came_from=http://data.gov.uk/dataset/os-code-point-open | # /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 | # /403.html?page=/about&from=http://data.gov.uk/publisher/planning-inspectorate |
| continue | continue |
| packages.append( (url, pageviews, visits,) ) # Temporary hack | packages.append( (url, pageviews, visits,) ) # Temporary hack |
| return dict(url=packages) | return dict(url=packages) |
| def store(self, period_name, period_complete_day, data): | def store(self, period_name, period_complete_day, data): |
| if 'url' in data: | if 'url' in data: |
| ga_model.update_url_stats(period_name, period_complete_day, data['url']) | ga_model.update_url_stats(period_name, period_complete_day, data['url']) |
| def sitewide_stats(self, period_name, period_complete_day): | def sitewide_stats(self, period_name, period_complete_day): |
| import calendar | import calendar |
| year, month = period_name.split('-') | year, month = period_name.split('-') |
| _, last_day_of_month = calendar.monthrange(int(year), int(month)) | _, last_day_of_month = calendar.monthrange(int(year), int(month)) |
| start_date = '%s-01' % period_name | start_date = '%s-01' % period_name |
| end_date = '%s-%s' % (period_name, last_day_of_month) | end_date = '%s-%s' % (period_name, last_day_of_month) |
| funcs = ['_totals_stats', '_social_stats', '_os_stats', | funcs = ['_totals_stats', '_social_stats', '_os_stats', |
| '_locale_stats', '_browser_stats', '_mobile_stats'] | '_locale_stats', '_browser_stats', '_mobile_stats'] |
| for f in funcs: | for f in funcs: |
| log.info('Downloading analytics for %s' % f.split('_')[1]) | log.info('Downloading analytics for %s' % f.split('_')[1]) |
| getattr(self, f)(start_date, end_date, period_name, period_complete_day) | getattr(self, f)(start_date, end_date, period_name, period_complete_day) |
| def _get_results(result_data, f): | def _get_results(result_data, f): |
| data = {} | data = {} |
| for result in result_data: | for result in result_data: |
| key = f(result) | key = f(result) |
| data[key] = data.get(key,0) + result[1] | data[key] = data.get(key,0) + result[1] |
| return data | return data |
| def _totals_stats(self, start_date, end_date, period_name, period_complete_day): | def _totals_stats(self, start_date, end_date, period_name, period_complete_day): |
| """ Fetches distinct totals, total pageviews etc """ | """ Fetches distinct totals, total pageviews etc """ |
| results = self.service.data().ga().get( | results = self.service.data().ga().get( |
| ids='ga:' + self.profile_id, | ids='ga:' + self.profile_id, |
| start_date=start_date, | start_date=start_date, |
| metrics='ga:pageviews', | metrics='ga:pageviews', |
| sort='-ga:pageviews', | sort='-ga:pageviews', |
| max_results=10000, | max_results=10000, |
| end_date=end_date).execute() | end_date=end_date).execute() |
| result_data = results.get('rows') | result_data = results.get('rows') |
| ga_model.update_sitewide_stats(period_name, "Totals", {'Total page views': result_data[0][0]}, | ga_model.update_sitewide_stats(period_name, "Totals", {'Total page views': result_data[0][0]}, |
| period_complete_day) | period_complete_day) |
| results = self.service.data().ga().get( | results = self.service.data().ga().get( |
| ids='ga:' + self.profile_id, | ids='ga:' + self.profile_id, |
| start_date=start_date, | start_date=start_date, |
| metrics='ga:pageviewsPerVisit,ga:avgTimeOnSite,ga:percentNewVisits,ga:visits', | metrics='ga:pageviewsPerVisit,ga:avgTimeOnSite,ga:percentNewVisits,ga:visits', |
| max_results=10000, | max_results=10000, |
| end_date=end_date).execute() | end_date=end_date).execute() |
| result_data = results.get('rows') | result_data = results.get('rows') |
| data = { | data = { |
| 'Pages per visit': result_data[0][0], | 'Pages per visit': result_data[0][0], |
| 'Average time on site': result_data[0][1], | 'Average time on site': result_data[0][1], |
| 'New visits': result_data[0][2], | 'New visits': result_data[0][2], |
| 'Total visits': result_data[0][3], | 'Total visits': result_data[0][3], |
| } | } |
| ga_model.update_sitewide_stats(period_name, "Totals", data, period_complete_day) | ga_model.update_sitewide_stats(period_name, "Totals", data, period_complete_day) |
| # Bounces from / or another configurable page. | # Bounces from / or another configurable page. |
| path = '/%s%s' % (config.get('googleanalytics.account'), | path = '/%s%s' % (config.get('googleanalytics.account'), |
| config.get('ga-report.bounce_url', '/')) | config.get('ga-report.bounce_url', '/')) |
| results = self.service.data().ga().get( | results = self.service.data().ga().get( |
| ids='ga:' + self.profile_id, | ids='ga:' + self.profile_id, |
| filters='ga:pagePath==%s' % (path,), | filters='ga:pagePath==%s' % (path,), |
| start_date=start_date, | start_date=start_date, |
| metrics='ga:bounces,ga:pageviews', | metrics='ga:bounces,ga:pageviews', |
| dimensions='ga:pagePath', | dimensions='ga:pagePath', |
| max_results=10000, | max_results=10000, |
| end_date=end_date).execute() | end_date=end_date).execute() |
| result_data = results.get('rows') | result_data = results.get('rows') |
| if not result_data or len(result_data) != 1: | if not result_data or len(result_data) != 1: |
| log.error('Could not pinpoint the bounces for path: %s. Got results: %r', | log.error('Could not pinpoint the bounces for path: %s. Got results: %r', |
| path, result_data) | path, result_data) |
| return | return |
| results = result_data[0] | results = result_data[0] |
| bounces, total = [float(x) for x in result_data[0][1:]] | bounces, total = [float(x) for x in result_data[0][1:]] |
| pct = 100 * bounces/total | pct = 100 * bounces/total |
| log.info('%d bounces from %d total == %s', bounces, total, pct) | log.info('%d bounces from %d total == %s', bounces, total, pct) |
| ga_model.update_sitewide_stats(period_name, "Totals", {'Bounce rate (home page)': pct}, | ga_model.update_sitewide_stats(period_name, "Totals", {'Bounce rate (home page)': pct}, |
| period_complete_day) | period_complete_day) |
| def _locale_stats(self, start_date, end_date, period_name, period_complete_day): | def _locale_stats(self, start_date, end_date, period_name, period_complete_day): |
| """ Fetches stats about language and country """ | """ Fetches stats about language and country """ |
| results = self.service.data().ga().get( | results = self.service.data().ga().get( |
| ids='ga:' + self.profile_id, | ids='ga:' + self.profile_id, |
| start_date=start_date, | start_date=start_date, |
| metrics='ga:pageviews', | metrics='ga:pageviews', |
| sort='-ga:pageviews', | sort='-ga:pageviews', |
| dimensions="ga:language,ga:country", | dimensions="ga:language,ga:country", |
| max_results=10000, | max_results=10000, |
| end_date=end_date).execute() | end_date=end_date).execute() |
| result_data = results.get('rows') | result_data = results.get('rows') |
| data = {} | data = {} |
| for result in result_data: | for result in result_data: |
| data[result[0]] = data.get(result[0], 0) + int(result[2]) | data[result[0]] = data.get(result[0], 0) + int(result[2]) |
| self._filter_out_long_tail(data, MIN_VIEWS) | self._filter_out_long_tail(data, MIN_VIEWS) |
| ga_model.update_sitewide_stats(period_name, "Languages", data, period_complete_day) | ga_model.update_sitewide_stats(period_name, "Languages", data, period_complete_day) |
| data = {} | data = {} |
| for result in result_data: | for result in result_data: |
| data[result[1]] = data.get(result[1], 0) + int(result[2]) | data[result[1]] = data.get(result[1], 0) + int(result[2]) |
| self._filter_out_long_tail(data, MIN_VIEWS) | self._filter_out_long_tail(data, MIN_VIEWS) |
| ga_model.update_sitewide_stats(period_name, "Country", data, period_complete_day) | ga_model.update_sitewide_stats(period_name, "Country", data, period_complete_day) |
| def _social_stats(self, start_date, end_date, period_name, period_complete_day): | def _social_stats(self, start_date, end_date, period_name, period_complete_day): |
| """ Finds out which social sites people are referred from """ | """ Finds out which social sites people are referred from """ |
| results = self.service.data().ga().get( | results = self.service.data().ga().get( |
| ids='ga:' + self.profile_id, | ids='ga:' + self.profile_id, |
| start_date=start_date, | start_date=start_date, |
| metrics='ga:pageviews', | metrics='ga:pageviews', |
| sort='-ga:pageviews', | sort='-ga:pageviews', |
| dimensions="ga:socialNetwork,ga:referralPath", | dimensions="ga:socialNetwork,ga:referralPath", |
| max_results=10000, | max_results=10000, |
| end_date=end_date).execute() | end_date=end_date).execute() |
| result_data = results.get('rows') | result_data = results.get('rows') |
| data = {} | data = {} |
| for result in result_data: | for result in result_data: |
| if not result[0] == '(not set)': | if not result[0] == '(not set)': |
| data[result[0]] = data.get(result[0], 0) + int(result[2]) | data[result[0]] = data.get(result[0], 0) + int(result[2]) |
| self._filter_out_long_tail(data, 3) | self._filter_out_long_tail(data, 3) |
| ga_model.update_sitewide_stats(period_name, "Social sources", data, period_complete_day) | ga_model.update_sitewide_stats(period_name, "Social sources", data, period_complete_day) |
| def _os_stats(self, start_date, end_date, period_name, period_complete_day): | def _os_stats(self, start_date, end_date, period_name, period_complete_day): |
| """ Operating system stats """ | """ Operating system stats """ |
| results = self.service.data().ga().get( | results = self.service.data().ga().get( |
| ids='ga:' + self.profile_id, | ids='ga:' + self.profile_id, |
| start_date=start_date, | start_date=start_date, |
| metrics='ga:pageviews', | metrics='ga:pageviews', |
| sort='-ga:pageviews', | sort='-ga:pageviews', |
| dimensions="ga:operatingSystem,ga:operatingSystemVersion", | dimensions="ga:operatingSystem,ga:operatingSystemVersion", |
| max_results=10000, | max_results=10000, |
| end_date=end_date).execute() | end_date=end_date).execute() |
| result_data = results.get('rows') | result_data = results.get('rows') |
| data = {} | data = {} |
| for result in result_data: | for result in result_data: |
| data[result[0]] = data.get(result[0], 0) + int(result[2]) | data[result[0]] = data.get(result[0], 0) + int(result[2]) |
| self._filter_out_long_tail(data, MIN_VIEWS) | self._filter_out_long_tail(data, MIN_VIEWS) |
| ga_model.update_sitewide_stats(period_name, "Operating Systems", data, period_complete_day) | ga_model.update_sitewide_stats(period_name, "Operating Systems", data, period_complete_day) |
| data = {} | data = {} |
| for result in result_data: | for result in result_data: |
| if int(result[2]) >= MIN_VIEWS: | if int(result[2]) >= MIN_VIEWS: |
| key = "%s %s" % (result[0],result[1]) | key = "%s %s" % (result[0],result[1]) |
| data[key] = result[2] | data[key] = result[2] |
| ga_model.update_sitewide_stats(period_name, "Operating Systems versions", data, period_complete_day) | ga_model.update_sitewide_stats(period_name, "Operating Systems versions", data, period_complete_day) |
| def _browser_stats(self, start_date, end_date, period_name, period_complete_day): | def _browser_stats(self, start_date, end_date, period_name, period_complete_day): |
| """ Information about browsers and browser versions """ | """ Information about browsers and browser versions """ |
| results = self.service.data().ga().get( | results = self.service.data().ga().get( |
| ids='ga:' + self.profile_id, | ids='ga:' + self.profile_id, |
| start_date=start_date, | start_date=start_date, |
| metrics='ga:pageviews', | metrics='ga:pageviews', |
| sort='-ga:pageviews', | sort='-ga:pageviews', |
| dimensions="ga:browser,ga:browserVersion", | dimensions="ga:browser,ga:browserVersion", |
| max_results=10000, | max_results=10000, |
| end_date=end_date).execute() | end_date=end_date).execute() |
| result_data = results.get('rows') | result_data = results.get('rows') |
| # e.g. [u'Firefox', u'19.0', u'20'] | # e.g. [u'Firefox', u'19.0', u'20'] |
| data = {} | data = {} |
| for result in result_data: | for result in result_data: |
| data[result[0]] = data.get(result[0], 0) + int(result[2]) | data[result[0]] = data.get(result[0], 0) + int(result[2]) |
| self._filter_out_long_tail(data, MIN_VIEWS) | self._filter_out_long_tail(data, MIN_VIEWS) |
| ga_model.update_sitewide_stats(period_name, "Browsers", data, period_complete_day) | ga_model.update_sitewide_stats(period_name, "Browsers", data, period_complete_day) |
| data = {} | data = {} |
| for result in result_data: | for result in result_data: |
| key = "%s %s" % (result[0], self._filter_browser_version(result[0], result[1])) | key = "%s %s" % (result[0], self._filter_browser_version(result[0], result[1])) |
| data[key] = data.get(key, 0) + int(result[2]) | data[key] = data.get(key, 0) + int(result[2]) |
| self._filter_out_long_tail(data, MIN_VIEWS) | self._filter_out_long_tail(data, MIN_VIEWS) |
| ga_model.update_sitewide_stats(period_name, "Browser versions", data, period_complete_day) | ga_model.update_sitewide_stats(period_name, "Browser versions", data, period_complete_day) |
| @classmethod | @classmethod |
| def _filter_browser_version(cls, browser, version_str): | def _filter_browser_version(cls, browser, version_str): |
| ''' | ''' |
| Simplifies a browser version string if it is detailed. | Simplifies a browser version string if it is detailed. |
| i.e. groups together Firefox 3.5.1 and 3.5.2 to be just 3. | i.e. groups together Firefox 3.5.1 and 3.5.2 to be just 3. |
| This is helpful when viewing stats and good to protect privacy. | This is helpful when viewing stats and good to protect privacy. |
| ''' | ''' |
| ver = version_str | ver = version_str |
| parts = ver.split('.') | parts = ver.split('.') |
| if len(parts) > 1: | if len(parts) > 1: |
| if parts[1][0] == '0': | if parts[1][0] == '0': |
| ver = parts[0] | ver = parts[0] |
| else: | else: |
| ver = "%s" % (parts[0]) | ver = "%s" % (parts[0]) |
| # Special case complex version nums | # Special case complex version nums |
| if browser in ['Safari', 'Android Browser']: | if browser in ['Safari', 'Android Browser']: |
| ver = parts[0] | ver = parts[0] |
| if len(ver) > 2: | if len(ver) > 2: |
| num_hidden_digits = len(ver) - 2 | num_hidden_digits = len(ver) - 2 |
| ver = ver[0] + ver[1] + 'X' * num_hidden_digits | ver = ver[0] + ver[1] + 'X' * num_hidden_digits |
| return ver | return ver |
| def _mobile_stats(self, start_date, end_date, period_name, period_complete_day): | def _mobile_stats(self, start_date, end_date, period_name, period_complete_day): |
| """ Info about mobile devices """ | """ Info about mobile devices """ |
| results = self.service.data().ga().get( | results = self.service.data().ga().get( |
| ids='ga:' + self.profile_id, | ids='ga:' + self.profile_id, |
| start_date=start_date, | start_date=start_date, |
| metrics='ga:pageviews', | metrics='ga:pageviews', |
| sort='-ga:pageviews', | sort='-ga:pageviews', |
| dimensions="ga:mobileDeviceBranding, ga:mobileDeviceInfo", | dimensions="ga:mobileDeviceBranding, ga:mobileDeviceInfo", |
| max_results=10000, | max_results=10000, |
| end_date=end_date).execute() | end_date=end_date).execute() |
| result_data = results.get('rows') | result_data = results.get('rows') |
| data = {} | data = {} |
| for result in result_data: | for result in result_data: |
| data[result[0]] = data.get(result[0], 0) + int(result[2]) | data[result[0]] = data.get(result[0], 0) + int(result[2]) |
| self._filter_out_long_tail(data, MIN_VIEWS) | self._filter_out_long_tail(data, MIN_VIEWS) |
| ga_model.update_sitewide_stats(period_name, "Mobile brands", data, period_complete_day) | ga_model.update_sitewide_stats(period_name, "Mobile brands", data, period_complete_day) |
| data = {} | data = {} |
| for result in result_data: | for result in result_data: |
| data[result[1]] = data.get(result[1], 0) + int(result[2]) | data[result[1]] = data.get(result[1], 0) + int(result[2]) |
| self._filter_out_long_tail(data, MIN_VIEWS) | self._filter_out_long_tail(data, MIN_VIEWS) |
| ga_model.update_sitewide_stats(period_name, "Mobile devices", data, period_complete_day) | ga_model.update_sitewide_stats(period_name, "Mobile devices", data, period_complete_day) |
| @classmethod | @classmethod |
| def _filter_out_long_tail(cls, data, threshold=10): | def _filter_out_long_tail(cls, data, threshold=10): |
| ''' | ''' |
| Given data which is a frequency distribution, filter out | Given data which is a frequency distribution, filter out |
| results which are below a threshold count. This is good to protect | results which are below a threshold count. This is good to protect |
| privacy. | privacy. |
| ''' | ''' |
| for key, value in data.items(): | for key, value in data.items(): |
| if value < threshold: | if value < threshold: |
| del data[key] | del data[key] |