def test_computer_monitor_blurbs():
"""
This email was generated by google alerts in production for the alert
"computer monitors"
"""
alert = create_alert()
blurbs = alerts.create_blurbs(compmsg, alert)
def test_create_blurbs():
alertsmsg = MailRequest(
"fakepeer", sender, "*****@*****.**", open(home("tests/data/emails/alerts.msg")).read()
)
alert = Alert.objects.all()[0]
blurbs = alerts.create_blurbs(alertsmsg, alert)
assert len(blurbs) == 26
blurb = blurbs[1]
assert blurb.title.startswith("Audio reveals swipes at Obama, other Illinois Democrats")
assert blurb.source == "Chicago Tribune"
assert blurb.byline == ""
assert len(Blurb.objects.all()) == 26
def START(message, alert_id=None, host=None):
"""
This reads in the alert emails, parses them and
sticks them in the database as blurbs.
"""
try:
alert = Alert.objects.get(pk=int(alert_id))
if not alert.disabled:
gtext = "".join([b.text for b in alert.client.blurb_set.filter(approved=True).all()])
rtext = "".join([b.text for b in alert.client.blurb_set.filter(rejected=True).all()])
url = alerts.get_remove_url(message.body())
LOG.debug("The removeurl for alert %s is %s" % (alert.id, url))
if url:
alert.removeurl = url
else:
q = queue.Queue("run/error")
q.push(message)
alert.save()
blurbs = alerts.create_blurbs(message, alert)
# if there are examples of good and rejected text,
# then try to filter them.
if gtext and rtext:
b = bayes.Bayes(gtext, rtext)
for blurb in blurbs:
blurb.junk_score = b.rejected_given_text(blurb.text)
blurb.save()
transaction.commit()
else:
LOG.debug("Received alerts for a disabled alert with id %s and remove url %s" % (alert.id, alert.removeurl))
except Exception as e:
#queue up any messages that failed so we can diagnose
#and try later.
LOG.debug("Something bad happened with the alerts queue: %s" % str(e))
transaction.rollback()
q = queue.Queue("run/error")
q.push(message)
