def get_linger_data(self, team, slug=None, start_date=None):
params = self.get_query_params(team=team, slug=slug, start_date=start_date)
data = GoogleAnalytics.query_ga(params)
if not data.get("rows"):
logger.info("No rows found, done.")
return False
rows = self.clean_data(data)
return rows
def get_unique_visitor_data(self, team, slug):
params = self.get_query_params(team=team, slug=slug)
data = GoogleAnalytics.query_ga(params)
# import pdb; pdb.set_trace();
if not data.get("rows"):
logger.info("No rows found, done.")
return False
return data.get("rows")[0][0]
def get_unique_visitor_data(self, team, slug):
params = self.get_query_params(team=team, slug=slug)
data = GoogleAnalytics.query_ga(params)
# import pdb; pdb.set_trace();
if not data.get('rows'):
logger.info('No rows found, done.')
return False
return data.get('rows')[0][0]
def get_linger_data(self, team, slug=None, start_date=None):
params = self.get_query_params(team=team,
slug=slug,
start_date=start_date)
data = GoogleAnalytics.query_ga(params)
if not data.get('rows'):
logger.info('No rows found, done.')
return False
rows = self.clean_data(data)
return rows
def get_user_data(self, team, start_date=None):
"""
Get the number of users in the last seven days
"""
if not start_date:
start_date = '90daysAgo'
params = {
'ids': 'ga:{0}'.format(team['ga_org_id']),
'start-date': start_date, # start_date.strftime('%Y-%m-%d'),
'end-date': 'today',
'metrics': 'ga:users',
# 'dimensions': 'ga:eventLabel',
# 'filters': filters,
'max-results': app_config.GA_RESULT_SIZE,
'samplingLevel': app_config.GA_SAMPLING_LEVEL,
'start-index': 1,
}
return GoogleAnalytics.query_ga(params)
def get_user_data(self, team, start_date=None):
"""
Get the number of users in the last seven days
"""
if not start_date:
start_date = '90daysAgo'
params = {
'ids': 'ga:{0}'.format(team['ga_org_id']),
'start-date': start_date, # start_date.strftime('%Y-%m-%d'),
'end-date': 'today',
'metrics': 'ga:users',
# 'dimensions': 'ga:eventLabel',
# 'filters': filters,
'max-results': app_config.GA_RESULT_SIZE,
'samplingLevel': app_config.GA_SAMPLING_LEVEL,
'start-index': 1,
}
return GoogleAnalytics.query_ga(params)
def get_slug_message(self, slug, story=None):
# Try to match the story to a slug to accurately get a team
# The Google Analytics property ID comes from the team config
# We use the default team if none is found
stories = Story.select().where(Story.slug.contains(slug))
team = self.config.get_team_for_stories(stories)
params = self.get_slug_query_params(team=team, slug=slug)
data = GoogleAnalytics.query_ga(params)
if not data.get('rows'):
logger.info('No rows found for slug %s' % slug)
return
# Clean up the data
clean_data = self.clean_data(data.get('rows'))
total_people = self.get_total_people(clean_data)
friendly_people = "{:,}".format(total_people) # Comma-separated #s
median = self.get_median(clean_data)
# Set up the chart
scroll_histogram_url = self.get_chart(clean_data)
if story:
scroll_histogram_url = ChartTools.add_screenshot_to_chart(story,
scroll_histogram_url)
# TODO: Not confident in median calculations so far
# text = "*%s people* got a median of *%s percent* down the page." % (friendly_people, median)
text = ''
attachments = [{
"fallback": slug + " update",
"color": "#eeeeee",
"title": "How far down did people scroll?",
"image_url": scroll_histogram_url
}]
return {
'text': text,
'attachments': attachments
}
