1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 | import os import logging import datetime from pylons import config import ga_model #from ga_client import GA log = logging.getLogger('ckanext.ga-report') FORMAT_MONTH = '%Y-%m' class DownloadAnalytics(object): '''Downloads and stores analytics info''' def __init__(self, service=None, profile_id=None): self.period = config['ga-report.period'] self.service = service self.profile_id = profile_id 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) 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('Downloading Analytics for 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')) data = self.download(start_date, end_date, '~/dataset/[a-z0-9-_]+') log.info('Storing Dataset Analytics for period "%s"', self.get_full_period_name(period_name, period_complete_day)) self.store(period_name, period_complete_day, data, ) data = self.download(start_date, end_date, '~/publisher/[a-z0-9-_]+') log.info('Storing Publisher Analytics for period "%s"', self.get_full_period_name(period_name, period_complete_day)) self.store(period_name, period_complete_day, data,) ga_model.update_publisher_stats(period_name) # about 30 seconds. self.sitewide_stats( period_name ) def download(self, start_date, end_date, path='~/dataset/[a-z0-9-_]+'): '''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:uniquePageviews, ga:visitors' sort = '-ga:uniquePageviews' # 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() if os.getenv('DEBUG'): import pprint pprint.pprint(results) print 'Total results: %s' % results.get('totalResults') packages = [] for entry in results.get('rows'): (loc,pageviews,visits) = entry packages.append( ('http:/' + loc, 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): 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) print 'Sitewide_stats for %s (%s -> %s)' % (period_name, start_date, end_date) funcs = ['_totals_stats', '_social_stats', '_os_stats', '_locale_stats', '_browser_stats', '_mobile_stats'] for f in funcs: print ' + Fetching %s stats' % f.split('_')[1] getattr(self, f)(start_date, end_date, period_name) 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): """ Fetches distinct totals, total pageviews etc """ results = self.service.data().ga().get( ids='ga:' + self.profile_id, start_date=start_date, metrics='ga:uniquePageviews', sort='-ga:uniquePageviews', max_results=10000, end_date=end_date).execute() result_data = results.get('rows') ga_model.update_sitewide_stats(period_name, "Totals", {'Total pageviews': result_data[0][0]}) results = self.service.data().ga().get( ids='ga:' + self.profile_id, start_date=start_date, metrics='ga:pageviewsPerVisit,ga:bounces,ga:avgTimeOnSite,ga:percentNewVisits', max_results=10000, end_date=end_date).execute() result_data = results.get('rows') data = { 'Pages per visit': result_data[0][0], 'Bounces': result_data[0][1], 'Average time on site': result_data[0][2], 'Percent new visits': result_data[0][3], } ga_model.update_sitewide_stats(period_name, "Totals", data) def _locale_stats(self, start_date, end_date, period_name): """ Fetches stats about language and country """ results = self.service.data().ga().get( ids='ga:' + self.profile_id, start_date=start_date, metrics='ga:uniquePageviews', sort='-ga:uniquePageviews', 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]) ga_model.update_sitewide_stats(period_name, "Languages", data) data = {} for result in result_data: data[result[1]] = data.get(result[1], 0) + int(result[2]) ga_model.update_sitewide_stats(period_name, "Country", data) def _social_stats(self, start_date, end_date, period_name): """ Finds out which social sites people are referred from """ results = self.service.data().ga().get( ids='ga:' + self.profile_id, start_date=start_date, metrics='ga:uniquePageviews', sort='-ga:uniquePageviews', dimensions="ga:socialNetwork,ga:referralPath", max_results=10000, end_date=end_date).execute() result_data = results.get('rows') twitter_links = [] data = {} for result in result_data: if not result[0] == '(not set)': data[result[0]] = data.get(result[0], 0) + int(result[2]) if result[0] == 'Twitter': twitter_links.append(result[1]) ga_model.update_sitewide_stats(period_name, "Social sources", data) def _os_stats(self, start_date, end_date, period_name): """ Operating system stats """ results = self.service.data().ga().get( ids='ga:' + self.profile_id, start_date=start_date, metrics='ga:uniquePageviews', sort='-ga:uniquePageviews', dimensions="ga:operatingSystem,ga:operatingSystemVersion", 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]) ga_model.update_sitewide_stats(period_name, "Operating Systems", data) data = {} for result in result_data: key = "%s (%s)" % (result[0],result[1]) data[key] = result[2] ga_model.update_sitewide_stats(period_name, "Operating Systems versions", data) def _browser_stats(self, start_date, end_date, period_name): """ Information about browsers and browser versions """ results = self.service.data().ga().get( ids='ga:' + self.profile_id, start_date=start_date, metrics='ga:uniquePageviews', sort='-ga:uniquePageviews', dimensions="ga:browser,ga:browserVersion", 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]) ga_model.update_sitewide_stats(period_name, "Browsers", data) data = {} for result in result_data: key = "%s (%s)" % (result[0], result[1]) data[key] = result[2] ga_model.update_sitewide_stats(period_name, "Browser versions", data) def _mobile_stats(self, start_date, end_date, period_name): """ Info about mobile devices """ results = self.service.data().ga().get( ids='ga:' + self.profile_id, start_date=start_date, metrics='ga:uniquePageviews', sort='-ga:uniquePageviews', dimensions="ga:mobileDeviceBranding, ga:mobileDeviceInfo", 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]) ga_model.update_sitewide_stats(period_name, "Mobile brands", data) data = {} |