def respond(self, message):
"""
Respond to requests about the last seven days of data
TODO: Loop over all stories and report stats on each
"""
seven_days_ago = datetime.datetime.now() - datetime.timedelta(days=7)
stories = Story.select().where(Story.tracking_started > seven_days_ago)
slugs = Set()
for story in stories:
# print story.name
story_slugs = story.slug.split(',')
for slug in story_slugs:
slugs.add(slug)
try:
team = self.config.get_team_for_story(stories[0])
except:
team = self.config.get_default_team()
total_users = self.get_user_data(team=team, start_date='7daysAgo')
total_users = int(total_users['rows'][0][0])
total_users = "{:,}".format(total_users)
npr_linger = NPRLingerRate()
linger_rows = npr_linger.get_linger_data(team=team, start_date='7daysAgo')
median = NPRLingerRate.get_median(linger_rows)
linger_histogram_url = npr_linger.get_histogram_url(linger_rows, median)
attachments = [{
"fallback": "linger update",
"color": "#eeeeee",
"title": "Time spent on graphics over the last week",
"image_url": linger_histogram_url
}]
text = "In the past 7 days, I've tracked {0} stories and {1} graphics.".format(len(stories), len(slugs))
text += "\n\n"
text += "{0} people looked at graphics on the property. Here's how much time they spent:".format(total_users)
fields = []
for story in stories:
fields.append({
"title": story.name.strip(),
"value": "<{0}|{1}>".format(story.url, story.slug.strip()),
"short": True
})
attachments.append({
"fallback": "linger update",
"color": "#eeeeee",
# "title": "What we have done",
"fields": fields
})
return {
'text': text,
'attachments': attachments
}
def test_median_of_time_buckets(self):
test_data = [
[1, 10],
[2, 20],
[3, 10]
]
median = NPRLingerRate.median_of_time_buckets(test_data)
self.assertEqual(median, 2)
def test_handle_slug_inquiry(self,
mock_upload,
mock_histogram,
mock_linger,
):
# Set some fake analytics
linger_data = [
[10, 10],
[20, 10],
[30, 10],
[40, 10],
[50, 10],
[60, 10],
[120, 10],
[180, 10],
[240, 10],
[300, 10],
]
mock_linger.return_value = linger_data
mock_histogram.return_value = 'http://image-url-here'
mock_upload.return_value = 'http://image-url-here'
slug = 'x-y-z'
linger = NPRLingerRate()
class FakeMessage(object):
body = {
'text': 'check slug ' + slug
}
clear_stories()
Story.create(
name = 'example',
slug = slug,
date = datetime.datetime.now(),
url = 'example.com',
team = 'deafult'
)
message = linger.handle_slug_inquiry(FakeMessage)
print message
assert u'*100* people spent a median *55 seconds* on `x-y-z`' in message['text']
self.assertEqual(message['attachments'][0]['title'], slug)
def test_handle_slug_inquiry(
self,
mock_upload,
mock_histogram,
mock_linger,
):
# Set some fake analytics
linger_data = [
[10, 10],
[20, 10],
[30, 10],
[40, 10],
[50, 10],
[60, 10],
[120, 10],
[180, 10],
[240, 10],
[300, 10],
]
mock_linger.return_value = linger_data
mock_histogram.return_value = 'http://image-url-here'
mock_upload.return_value = 'http://image-url-here'
slug = 'x-y-z'
linger = NPRLingerRate()
class FakeMessage(object):
body = {'text': 'check slug ' + slug}
clear_stories()
Story.create(name='example',
slug=slug,
date=datetime.datetime.now(),
url='example.com',
team='deafult')
message = linger.handle_slug_inquiry(FakeMessage)
print message
assert u'*100* people spent a median *55 seconds* on `x-y-z`' in message[
'text']
self.assertEqual(message['attachments'][0]['title'], slug)
def test_get_median(self):
test_data = [
[60, 25],
[90, 50],
[120, 25],
]
median = NPRLingerRate.get_median(test_data)
self.assertEqual(median['total_people'], 100)
self.assertEqual(median['raw_avg_seconds'], 90)
self.assertEqual(median['minutes'], 1)
self.assertEqual(median['seconds'], 30)
def test_get_median(self):
test_data = [
[60, 25],
[90, 50],
[120, 25],
]
median = NPRLingerRate.get_median(test_data)
self.assertEqual(median['total_people'], 100)
self.assertEqual(median['raw_avg_seconds'], 90)
self.assertEqual(median['minutes'], 1)
self.assertEqual(median['seconds'], 30)
def test_median_of_time_buckets(self):
test_data = [[1, 10], [2, 20], [3, 10]]
median = NPRLingerRate.median_of_time_buckets(test_data)
self.assertEqual(median, 2)
def respond(self, message):
"""
Respond to requests about the last seven days of data
TODO: Loop over all stories and report stats on each
"""
seven_days_ago = datetime.datetime.now() - datetime.timedelta(days=7)
stories = Story.select().where(Story.tracking_started > seven_days_ago)
slugs = Set()
for story in stories:
# print story.name
story_slugs = story.slug.split(',')
for slug in story_slugs:
slugs.add(slug)
try:
team = self.config.get_team_for_story(stories[0])
except:
team = self.config.get_default_team()
total_users = self.get_user_data(team=team, start_date='7daysAgo')
total_users = int(total_users['rows'][0][0])
total_users = "{:,}".format(total_users)
npr_linger = NPRLingerRate()
linger_rows = npr_linger.get_linger_data(team=team,
start_date='7daysAgo')
median = NPRLingerRate.get_median(linger_rows)
linger_histogram_url = npr_linger.get_histogram_url(
linger_rows, median)
attachments = [{
"fallback": "linger update",
"color": "#eeeeee",
"title": "Time spent on graphics over the last week",
"image_url": linger_histogram_url
}]
text = "In the past 7 days, I've tracked {0} stories and {1} graphics.".format(
len(stories), len(slugs))
text += "\n\n"
text += "{0} people looked at graphics on the property. Here's how much time they spent:".format(
total_users)
fields = []
for story in stories:
fields.append({
"title":
story.name.strip(),
"value":
"<{0}|{1}>".format(story.url, story.slug.strip()),
"short":
True
})
attachments.append({
"fallback": "linger update",
"color": "#eeeeee",
# "title": "What we have done",
"fields": fields
})
return {'text': text, 'attachments': attachments}
