def handle(self, *args, **options):
threshold = min(month_boundaries(months=3))
q = Flip.objects.filter(created__lt=threshold)
n_pruned, _ = q.delete()
return "Done! Pruned %d flips." % n_pruned
def send_report(self, nag=False):
checks = self.checks_from_all_projects()
# Has there been a ping in last 6 months?
result = checks.aggregate(models.Max("last_ping"))
last_ping = result["last_ping__max"]
six_months_ago = now() - timedelta(days=180)
if last_ping is None or last_ping < six_months_ago:
return False
# Is there at least one check that is down?
num_down = checks.filter(status="down").count()
if nag and num_down == 0:
return False
# Sort checks by project. Need this because will group by project in
# template.
checks = checks.select_related("project")
checks = checks.order_by("project_id")
# list() executes the query, to avoid DB access while
# rendering the template
checks = list(checks)
unsub_url = self.reports_unsub_url()
headers = {
"List-Unsubscribe": "<%s>" % unsub_url,
"X-Bounce-Url": unsub_url,
"List-Unsubscribe-Post": "List-Unsubscribe=One-Click",
}
boundaries = month_boundaries(months=3)
# throw away the current month, keep two previous months
boundaries.pop()
ctx = {
"checks": checks,
"sort": self.sort,
"now": now(),
"unsub_link": unsub_url,
"notifications_url": self.notifications_url(),
"nag": nag,
"nag_period": self.nag_period.total_seconds(),
"num_down": num_down,
"month_boundaries": boundaries,
"monthly_or_weekly": self.reports,
}
emails.report(self.user.email, ctx, headers)
return True
def downtimes(self, months=2):
""" Calculate the number of downtimes and downtime minutes per month.
Returns a list of (datetime, downtime_in_secs, number_of_outages) tuples.
"""
def monthkey(dt):
return dt.year, dt.month
# Datetimes of the first days of months we're interested in. Ascending order.
boundaries = month_boundaries(months=months)
# Will accumulate totals here.
# (year, month) -> [datetime, total_downtime, number_of_outages]
totals = {monthkey(b): [b, td(), 0] for b in boundaries}
# A list of flips and month boundaries
events = [(b, "---") for b in boundaries]
q = self.flip_set.filter(created__gt=min(boundaries))
for pair in q.values_list("created", "old_status"):
events.append(pair)
# Iterate through flips and month boundaries in reverse order,
# and for each "down" event increase the counters in `totals`.
dt, status = timezone.now(), self.status
for prev_dt, prev_status in sorted(events, reverse=True):
if status == "down":
delta = dt - prev_dt
totals[monthkey(prev_dt)][1] += delta
totals[monthkey(prev_dt)][2] += 1
dt = prev_dt
if prev_status != "---":
status = prev_status
# Set counters to None for months when the check didn't exist yet
for ym in totals:
if ym < monthkey(self.created):
totals[ym][1] = None
totals[ym][2] = None
return sorted(totals.values())
