def response(**kwargs):
"""Model maker for feedback.models.Response."""
ua = kwargs.pop('ua', USER_AGENT)
parsed = browsers.parse_ua(ua)
defaults = {
'prodchan': 'firefox.desktop.stable',
'happy': True,
'url': u'',
'description': u'So awesome!',
'user_agent': ua,
'browser': parsed.browser,
'browser_version': parsed.browser_version,
'platform': parsed.platform,
'product': Response.infer_product(parsed.platform),
'channel': u'stable',
'version': parsed.browser_version,
'locale': u'en-US',
}
defaults.update(kwargs)
return Response(**defaults)
def _analytics_search_export(request, opinions_s):
"""Handles CSV export for analytics search
This only exports MAX_OPINIONS amount. It adds a note to the top
about that if the results are truncated.
"""
MAX_OPINIONS = 1000
# Create the HttpResponse object with the appropriate CSV header.
response = HttpResponse(content_type='text/csv')
response['Content-Disposition'] = 'attachment; filename="{0}"'.format(
datetime.now().strftime('%Y%m%d_%H%M_search_export.csv'))
keys = Response.get_export_keys(confidential=True)
total_opinions = opinions_s.count()
opinions_s = opinions_s.values_list('id')[:MAX_OPINIONS]
# We convert what we get back from ES to what's in the db so we
# can get all the information.
opinions = Response.objects.filter(
id__in=[mem[0][0] for mem in opinions_s])
writer = csv.writer(response)
# Specify what this search is
writer.writerow(['URL: {0}'.format(request.get_full_path())])
writer.writerow([
'Params: ' + ' '.join(
['{0}: {1}'.format(key, val) for key, val in request.GET.items()])
])
# Add note if we truncated.
if total_opinions > MAX_OPINIONS:
writer.writerow(
['Truncated {0} rows.'.format(total_opinions - MAX_OPINIONS)])
# Write headers row.
writer.writerow(keys)
# Write opinion rows.
for op in opinions:
writer.writerow([force_bytes(getattr(op, key)) for key in keys])
return response
def _analytics_search_export(request, opinions_s):
"""Handles CSV export for analytics search
This only exports MAX_OPINIONS amount. It adds a note to the top
about that if the results are truncated.
"""
MAX_OPINIONS = 1000
# Create the HttpResponse object with the appropriate CSV header.
response = HttpResponse(content_type='text/csv')
response['Content-Disposition'] = 'attachment; filename="{0}"'.format(
datetime.now().strftime('%Y%m%d_%H%M_search_export.csv'))
keys = Response.get_export_keys(confidential=True)
total_opinions = opinions_s.count()
opinions_s = opinions_s.values_list('id')[:MAX_OPINIONS]
# We convert what we get back from ES to what's in the db so we
# can get all the information.
opinions = Response.objects.filter(
id__in=[mem[0][0] for mem in opinions_s])
writer = csv.writer(response)
# Specify what this search is
writer.writerow(['URL: {0}'.format(request.get_full_path())])
writer.writerow([
'Params: ' + ' '.join(
['{0}: {1}'.format(key, val) for key, val in request.GET.items()])
])
# Add note if we truncated.
if total_opinions > MAX_OPINIONS:
writer.writerow(
['Truncated {0} rows.'.format(total_opinions - MAX_OPINIONS)])
# Write headers row.
writer.writerow(keys)
# Write opinion rows.
for op in opinions:
writer.writerow([force_bytes(getattr(op, key)) for key in keys])
return response
class ResponseFactory(factory.DjangoModelFactory):
class Meta:
model = Response
happy = True
url = u''
description = u'So awesome!'
user_agent = USER_AGENT
browser = factory.LazyAttribute(
lambda a: unicode(browsers.parse_ua(a.user_agent).browser))
browser_version = factory.LazyAttribute(
lambda a: unicode(browsers.parse_ua(a.user_agent).browser_version))
platform = factory.LazyAttribute(
lambda a: unicode(browsers.parse_ua(a.user_agent).platform))
product = factory.LazyAttribute(lambda a: unicode(
Response.infer_product(browsers.parse_ua(a.user_agent))))
channel = u'stable'
version = factory.LazyAttribute(
lambda a: unicode(browsers.parse_ua(a.user_agent).browser_version))
locale = u'en-US'
api = None
def response(**kwargs):
"""Model maker for feedback.models.Response."""
ua = kwargs.pop('ua', USER_AGENT)
parsed = browsers.parse_ua(ua)
defaults = {
'prodchan': 'firefox.desktop.stable',
'happy': True,
'url': u'',
'description': u'So awesome!',
'user_agent': ua,
'browser': parsed.browser,
'browser_version': parsed.browser_version,
'platform': parsed.platform,
'product': Response.infer_product(parsed.platform),
'channel': u'stable',
'version': parsed.browser_version,
'locale': u'en-US',
}
defaults.update(kwargs)
return Response(**defaults)
