def divide(self, years=None, months=None, days=None, hours=None, minutes=None, seconds=None):
dct = locals()
keywords = {}
for key in dct:
if key != 'self' and dct[key]:
keywords[key] = dct[key]
delta = td(**keywords)
new_ranges = []
for dt_range in self:
start = dt_range[0]
end = dt_range[1]
start2 = start
end2 = start2 + delta
if end2 < end:
while end2 < end:
old_start2 = start2
old_end2 = end2
new_ranges.append([old_start2, old_end2])
start2 = old_end2 + td(seconds=1)
end2 = start2 + delta
new_ranges.append([old_end2 + td(seconds=1), end])
else:
new_ranges.append([start, end])
self.__init__(new_ranges)
def fix_duration(segment):
dur = int(segment['duration'].total_seconds()*1000)
if dur < 0:
segment['duration'] = td(milliseconds=(86400000 + dur))
else:
segment['duration'] = td(milliseconds=dur)
return segment
def __init__(self, data_window, no_required_data, min_damper_sp,
excess_damper_threshold, desired_oaf, cfm, eer, analysis):
# Initialize data arrays.
self.oat_values = []
self.rat_values = []
self.mat_values = []
self.oad_values = []
self.fan_spd_values = []
self.timestamp = []
self.economizing = None
# Application result messages
self.alg_result_messages = \
["The OAD should be at the minimum position but is significantly above this value.",
"No problems detected.",
"Inconclusive results, could not verify the status of the economizer."]
# Map configurable parameters
self.max_dx_time = td(minutes=60) if td(minutes=60) > data_window else data_window * 3/2
self.data_window = data_window
self.no_required_data = no_required_data
self.min_damper_sp = min_damper_sp
self.excess_damper_threshold = excess_damper_threshold
self.economizing_dict = {key: 25.0 for key in self.excess_damper_threshold}
self.inconsistent_date = {key: 23.2 for key in self.excess_damper_threshold}
self.desired_oaf = desired_oaf
self.analysis = analysis
self.cfm = cfm
self.eer = eer
def updateTime(self):
if self.Stop == True:
return
elif self.Reset == True:
self.timeFrame.delete(1.0,END)
self.timeFrame.insert(1.0, "00:00")
self.timeFrame.tag_add("center",1.0,END)
return
else:
# Allow any fractional second to be added to the time silently
# Since we are working in whole seconds, the other alternative
# is to allow fractions of a second to disappear
# This is bad - in the worst case, it looks like we skip a second
# at the start of the timing period, which scares people!
self.seconds = int(math.floor(time.time() - self.initialTime)) + self.interstitial
self.s = td(seconds = self.seconds)
d = td(1,1,1) + self.s
t_str = "%(minutes)02d:%(seconds)02d" % {"minutes" : int(d.seconds/60), "seconds" : d.seconds % 60}
self.timeFrame.delete(1.0,END)
self.timeFrame.insert(1.0,t_str)
self.timeFrame.tag_add("center",1.0,END)
self.after(50,self.updateTime)
def end_curtail(self, current_time):
_log.info("Stagger release: {}".format(self.stagger_release))
if self.stagger_release:
_log.info("Stagger release enabled.")
if self.device_group_size is None:
_log.debug("Run stagger release setup.")
self.next_curtail_confirm = current_time + self.curtail_confirm
self.stagger_release_setup()
self.next_release = current_time + td(minutes=self.current_stagger.pop(0))
self.reset_devices()
if current_time >= self.next_release and self.current_stagger:
_log.debug("Release group stagger.")
self.reset_devices()
self.next_release = current_time + td(minutes=self.current_stagger.pop(0))
_log.debug("Next scheduled release: {}".format(self.next_release))
if current_time >= self.break_end:
_log.debug("Release all in contingency.")
self.reinitialize_stagger()
return
_log.debug("Current devices held curtailed: {}".format(self.devices_curtailed))
self.reinitialize_stagger()
def test_merge_____two_calendars__disjoint(self):
# first calendar
cal = Calendar()
cal.events = {
Event(name='Test #1', begin=dt(2016, 6, 10, 20, 10), duration=td(minutes=20)),
Event(name='Test #2', begin=dt(2016, 6, 10, 20, 50), duration=td(minutes=20)),
Event(name='Test #3', begin=dt(2016, 6, 10, 21, 30), duration=td(minutes=30)),
}
self.calendar.merge(cal)
pprint(self.calendar.events)
# second calendar
cal = Calendar()
cal.events = {
Event(name='Test #4', uid='d', begin=dt(2016, 6, 11, 12, 10), duration=td(minutes=20)),
Event(name='Test #5', uid='e', begin=dt(2016, 6, 11, 12, 40), duration=td(minutes=20)),
Event(name='Test #6', uid='f', begin=dt(2016, 6, 11, 13, 30), duration=td(minutes=30)),
}
self.calendar.merge(cal)
pprint(self.calendar.events)
assert self.calendar.events == {
Event(name='Test #1', uid='0', begin=dt(2016, 6, 10, 20, 10), duration=td(minutes=20)),
Event(name='Test #2', uid='1', begin=dt(2016, 6, 10, 20, 50), duration=td(minutes=20)),
Event(name='Test #3', uid='2', begin=dt(2016, 6, 10, 21, 30), duration=td(minutes=30)),
Event(name='Test #4', uid='3', begin=dt(2016, 6, 10, 12, 10), duration=td(minutes=20)),
Event(name='Test #5', uid='4', begin=dt(2016, 6, 10, 12, 40), duration=td(minutes=20)),
Event(name='Test #6', uid='5', begin=dt(2016, 6, 10, 12, 30), duration=td(minutes=30)),
}
def test_join(self):
# disjoined events
event_a = Event(name='Test #1', begin=dt(2016, 6, 10, 20, 10), duration=td(minutes=20))
event_b = Event(name='Test #2', begin=dt(2016, 6, 10, 20, 50), duration=td(minutes=20))
with pytest.raises(ValueError):
event_a.join(event_b)
with pytest.raises(ValueError):
event_b.join(event_a)
# intersected events
event_a = Event(name='Test #1', begin=dt(2016, 6, 10, 20, 10), duration=td(minutes=30))
event_b = Event(name='Test #2', begin=dt(2016, 6, 10, 20, 30), duration=td(minutes=30))
assert event_a.join(event_b) == Event(name=None, uid=event_a.uid, begin=event_a.begin, end=event_b.end)
assert event_b.join(event_a) == Event(name=None, uid=event_b.uid, begin=event_a.begin, end=event_b.end)
event_a = Event(name='Test #1', begin=dt(2016, 6, 10, 20, 30), duration=td(minutes=30))
event_b = Event(name='Test #2', begin=dt(2016, 6, 10, 20, 10), duration=td(minutes=30))
assert event_a.join(event_b) == Event(name=None, uid=event_a.uid, begin=event_b.begin, end=event_a.end)
assert event_b.join(event_a) == Event(name=None, uid=event_b.uid, begin=event_b.begin, end=event_a.end)
# included events
event_a = Event(name='Test #1', begin=dt(2016, 6, 10, 20, 00), duration=td(minutes=60))
event_b = Event(name='Test #2', begin=dt(2016, 6, 10, 20, 10), duration=td(minutes=30))
assert event_a.join(event_b) == Event(name=None, uid=event_a.uid, begin=event_a.begin, end=event_a.end)
assert event_b.join(event_a) == Event(name=None, uid=event_b.uid, begin=event_a.begin, end=event_a.end)
event_a = Event(name='Test #1', begin=dt(2016, 6, 10, 20, 10), duration=td(minutes=30))
event_b = Event(name='Test #2', begin=dt(2016, 6, 10, 20, 00), duration=td(minutes=60))
assert event_a.join(event_b) == Event(name=None, uid=event_a.uid, begin=event_b.begin, end=event_b.end)
assert event_b.join(event_a) == Event(name=None, uid=event_b.uid, begin=event_b.begin, end=event_b.end)
event = Event(uid='0', name='Test #1', begin=dt(2016, 6, 10, 20, 10), duration=td(minutes=30))
event.join(event)
assert event == Event(uid='0', name='Test #1', begin=dt(2016, 6, 10, 20, 10), duration=td(minutes=30))
def test_has_slot(self):
self.calendar.events = {
Event(name=None, uid='0', begin=dt(2016, 6, 10, 20, 00), duration=td(minutes=20)),
Event(name=None, uid='1', begin=dt(2016, 6, 10, 21, 00), duration=td(minutes=20)),
Event(name=None, uid='2', begin=dt(2016, 6, 10, 22, 00), duration=td(minutes=180)),
}
assert not self.calendar.has_slot(
Event(name='Test #1', uid='a', begin=dt(2016, 6, 10, 19, 30), duration=td(minutes=60)),
)
assert not self.calendar.has_slot(
Event(name='Test #1', uid='a', begin=dt(2016, 6, 10, 20, 30), duration=td(minutes=60)),
)
assert not self.calendar.has_slot(
Event(name='Test #1', uid='a', begin=dt(2016, 6, 10, 23, 00), duration=td(minutes=60)),
)
assert self.calendar.has_slot(
Event(name='Test #1', uid='a', begin=dt(2016, 6, 10, 19, 30), duration=td(minutes=10)),
)
assert self.calendar.has_slot(
Event(name='Test #1', uid='a', begin=dt(2016, 6, 10, 20, 30), duration=td(minutes=10)),
)
assert self.calendar.has_slot(
Event(name='Test #1', uid='a', begin=dt(2016, 6, 10, 21, 21), duration=td(minutes=10)),
)
assert self.calendar.has_slot(
Event(name='Test #1', uid='a', begin=dt(2016, 6, 11, 1, 1), duration=td(minutes=10)),
)
def test_merge___three_calendars__overlapping_three_events(self):
'''
testing overlapping 3 events (each one in a different calendar):
<20:00→20:20> <20:10→20:50> <20:40→21:00>
= <20:00→21:00>
'''
cal = Calendar()
cal.events = {
Event(name='Test #1', begin=dt(2016, 6, 10, 20, 00), duration=td(minutes=20)),
}
self.calendar.merge(cal)
assert len(self.calendar.events) == 1
cal = Calendar()
cal.events = {
Event(name='Test #2', begin=dt(2016, 6, 10, 20, 10), duration=td(minutes=40)),
}
self.calendar.merge(cal)
assert len(self.calendar.events) == 1
cal = Calendar()
cal.events = {
Event(name='Test #3', begin=dt(2016, 6, 10, 20, 40), duration=td(minutes=20)),
}
self.calendar.merge(cal)
assert len(self.calendar.events) == 1
res = Calendar()
cal.events = {
Event(name=None, uid='0', begin=dt(2016, 6, 10, 20, 00), duration=td(minutes=60)),
}
assert self.calendar.events == cal.events
def __init__(self, data_window, no_required_data, excess_oaf_threshold,
min_damper_sp, excess_damper_threshold, desired_oaf,
cfm, eer, analysis):
self.oat_values = []
self.rat_values = []
self.mat_values = []
self.oad_values = []
self.timestamp = []
self.fan_spd_values = []
self.economizing = None
# Application thresholds (Configurable)
self.cfm = cfm
self.eer = eer
self.max_dx_time = td(minutes=60) if td(minutes=60) > data_window else data_window * 3 / 2
self.data_window = data_window
self.no_required_data = no_required_data
self.excess_oaf_threshold = excess_oaf_threshold
self.min_damper_sp = min_damper_sp
self.desired_oaf = desired_oaf
self.excess_damper_threshold = excess_damper_threshold
self.economizing_dict = {key: 36.0 for key in self.excess_damper_threshold}
self.invalid_oaf_dict = {key: 31.2 for key in self.excess_damper_threshold}
self.inconsistent_date = {key: 35.2 for key in self.excess_damper_threshold}
self.analysis = analysis
def get_index(idx):
"""Returns an iterator over the rows of the data"""
if idx not in _INDICES_DICT.keys():
print "Index %s not found" % idx
print "Possible Indices are: %s" % (", ".join(_INDICES_DICT.keys()))
return None
start_dt = _INDICES_DICT[idx][1]
s = dt.strptime(start_dt, DATE_FORMAT)
e = dt.now()
e2 = s + td(days=PREF_DAYS)
delta = e - s
all_data = []
while e > s:
e_ = e2.strftime(DATE_FORMAT)
s_ = s.strftime(DATE_FORMAT)
r = _do_get_index(idx, s_, e_)
if r:
print len(r)
all_data.extend(r)
time.sleep(random.randint(1, 5))
s = e2 + td(days=1)
e2 = s + td(days=PREF_DAYS)
if e2 > e:
e2 = e
return all_data
def schedule(self, cr, uid, activity_id, date_scheduled=None,
context=None):
"""
If a specific ``date_scheduled`` parameter is not specified.
The `_POLICY['schedule']` dictionary value will be used to find
the closest time to the current time from the ones specified
(0 to 23 hours)
Then it will call :meth:`schedule<activity.nh_activity.schedule>`
:returns: ``True``
:rtype: bool
"""
if not date_scheduled:
hour = td(hours=1)
schedule_times = []
for s in self._POLICY['schedule']:
schedule_times.append(
dt.now().replace(hour=s[0], minute=s[1],
second=0, microsecond=0))
date_schedule = dt.now().replace(
minute=0, second=0, microsecond=0) + td(hours=2)
utctimes = [fields.datetime.utc_timestamp(
cr, uid, t, context=context) for t in schedule_times]
while all([date_schedule.hour != date_schedule.strptime(
ut, DTF).hour for ut in utctimes]):
date_schedule += hour
date_scheduled = date_schedule.strftime(DTF)
return super(nh_clinical_patient_observation_weight, self).schedule(
cr, uid, activity_id, date_scheduled, context=context)
def nextAlarm(ref, config):
ind = ("monday", "tuesday", "wednesday", "thursday", "friday", "saturday", "sunday")
imp = safeConfGet(config, "alarm", "impromptu")
if imp:
newTime = strToDt(imp, ref)
if newTime > ref:
config.remove_option("alarm", "impromptu")
return newTime
today = safeConfGet(config, "alarm", ind[ref.weekday()])
if today:
newTime = strToDt(today, ref)
if newTime > ref:
return newTime
if imp:
config.remove_option("alarm", "impromptu")
return strToDt(imp, ref + td(days=1))
tomorrow = safeConfGet(config, "alarm", ind[(ref.weekday() + 1) % 7])
if tomorrow:
return strToDt(tomorrow, ref + td(days=1))
return None
def checks(request):
if request.method == "GET":
q = Check.objects.filter(user=request.user)
doc = {"checks": [check.to_dict() for check in q]}
return JsonResponse(doc)
elif request.method == "POST":
check = Check(user=request.user)
check.name = str(request.json.get("name", ""))
check.tags = str(request.json.get("tags", ""))
if "timeout" in request.json:
check.timeout = td(seconds=request.json["timeout"])
if "grace" in request.json:
check.grace = td(seconds=request.json["grace"])
check.save()
# This needs to be done after saving the check, because of
# the M2M relation between checks and channels:
if request.json.get("channels") == "*":
check.assign_all_channels()
return JsonResponse(check.to_dict(), status=201)
# If request is neither GET nor POST, return "405 Method not allowed"
return HttpResponse(status=405)
def _update(check, spec):
if "name" in spec:
check.name = spec["name"]
if "tags" in spec:
check.tags = spec["tags"]
if "timeout" in spec and "schedule" not in spec:
check.kind = "simple"
check.timeout = td(seconds=spec["timeout"])
if "grace" in spec:
check.grace = td(seconds=spec["grace"])
if "schedule" in spec:
check.kind = "cron"
check.schedule = spec["schedule"]
if "tz" in spec:
check.tz = spec["tz"]
check.save()
# This needs to be done after saving the check, because of
# the M2M relation between checks and channels:
if "channels" in spec:
if spec["channels"] == "*":
check.assign_all_channels()
elif spec["channels"] == "":
check.channel_set.clear()
return check
def period_selected(self, selected_period_number):
""""""
t_set = lib.timecards_set()
if selected_period_number == 1:
print("Week")
self.reminders = lib.reminders(
dt.now() - td(days=REMINDERS_DAYS_BACK), dt.now(), t_set, 'week')
elif selected_period_number == 2:
print("BiWeek")
self.reminders = lib.reminders(
dt.now() - td(days=REMINDERS_DAYS_BACK), dt.now(), t_set, 'biweek')
elif selected_period_number == 3:
print("SemiMonth")
self.reminders = lib.reminders(
dt.now() - td(days=REMINDERS_DAYS_BACK), dt.now(), t_set,
'semimonth')
elif selected_period_number == 4:
print("Month")
self.reminders = lib.reminders(
dt.now() - td(days=REMINDERS_DAYS_BACK), dt.now(), t_set, 'month')
else:
print("Error Bad Selection")
return
self.listbox.delete(0, tkinter.END)
for reminder in self.reminders:
rmdr = '%s %s %s %s' % (reminder[0].client.name, reminder[0].employee.firstname + ' ' +
reminder[0].employee.lastname,
dt.strftime(reminder[1], tk_forms.DATE_OUTPUT_READABLE_FORMAT),
dt.strftime(reminder[2], tk_forms.DATE_OUTPUT_READABLE_FORMAT))
self.listbox.insert(tkinter.END, rmdr)
def add_pushover(request):
if settings.PUSHOVER_API_TOKEN is None or settings.PUSHOVER_SUBSCRIPTION_URL is None:
raise Http404("pushover integration is not available")
if request.method == "POST":
# Initiate the subscription
nonce = get_random_string()
request.session["po_nonce"] = nonce
failure_url = settings.SITE_ROOT + reverse("hc-channels")
success_url = settings.SITE_ROOT + reverse("hc-add-pushover") + "?" + urlencode({
"nonce": nonce,
"prio": request.POST.get("po_priority", "0"),
})
subscription_url = settings.PUSHOVER_SUBSCRIPTION_URL + "?" + urlencode({
"success": success_url,
"failure": failure_url,
})
return redirect(subscription_url)
# Handle successful subscriptions
if "pushover_user_key" in request.GET:
if "nonce" not in request.GET or "prio" not in request.GET:
return HttpResponseBadRequest()
# Validate nonce
if request.GET["nonce"] != request.session.get("po_nonce"):
return HttpResponseForbidden()
# Validate priority
if request.GET["prio"] not in ("-2", "-1", "0", "1", "2"):
return HttpResponseBadRequest()
# All looks well--
del request.session["po_nonce"]
if request.GET.get("pushover_unsubscribed") == "1":
# Unsubscription: delete all Pushover channels for this user
Channel.objects.filter(user=request.user, kind="po").delete()
return redirect("hc-channels")
else:
# Subscription
user_key = request.GET["pushover_user_key"]
priority = int(request.GET["prio"])
channel = Channel(user=request.team.user, kind="po")
channel.value = "%s|%d" % (user_key, priority)
channel.save()
channel.assign_all_checks()
return redirect("hc-channels")
# Show Integration Settings form
ctx = {
"page": "channels",
"po_retry_delay": td(seconds=settings.PUSHOVER_EMERGENCY_RETRY_DELAY),
"po_expiration": td(seconds=settings.PUSHOVER_EMERGENCY_EXPIRATION),
}
return render(request, "integrations/add_pushover.html", ctx)
def convert(blt_file, outfile):
tagCategory = ["duplicate_announce", "new_prefix", "transit_change", "community_change", "duplicate_withdrawal", "prepending_add", "prepending_change", "prepending_remove", "path_switching", "origin_change", "remove_prefix", "other_change"]
pickleDictionary = dict() # pickleDictionary[tagName][time] = [value]
for tn in tagCategory:
pickleDictionary[tn] = dict()
for blt_file in blt_file:
date = blt_file.split("/")[-1].split(".")[0]
if "_" in date:
date = date.split("_")[0]
print "reading " + date + " now"
blt_files = glob.glob(blt_file)
if len(blt_files)==0:
sys.exit()
blt_files.sort()
initialAnalize = True
# BGP4MP|1421366399|A|195.66.225.76|251|207.150.172.0/22|251 1239 3257 21840|IGP|195.66.225.76|0|0|1239:321 1239:1000 1239:1004 65020:20202|NAG|| #new_prefix
for bf in blt_files:
blt = open(bf, "r")
for line in blt:
res = line.split(" #")
message = res[0]
_tagNames = res[1:]
tagNames = list()
for tagName in _tagNames:
tagNames.append(tagName.split("\n")[0])
for tagName in tagNames:
if tagName not in tagCategory:
print "There is no [" + tagName + "] in this programs tagCategory."
continue
timeStamp = dt.utcfromtimestamp(float(message.split("|")[1])).strftime("%Y/%m/%d %H:%M")
timeStamp = dt.strptime(timeStamp, "%Y/%m/%d %H:%M")
if initialAnalize == True:
preTime = timeStamp
initialAnalize = False
while timeStamp > preTime + td(minutes=1):
for tc in tagCategory:
pickleDictionary[tc][preTime + td(minutes=1)] = 0
preTime += td(minutes=1)
for tagName in tagNames:
if timeStamp not in pickleDictionary[tagName]:
for tc in tagCategory:
pickleDictionary[tc][timeStamp] = 0
pickleDictionary[tagName][timeStamp] += 1
preTime = timeStamp
with open(outfile, "wb") as f:
pickle.dump(pickleDictionary, f)
def test_reminder_forgetting(self, capsys):
"""
test forgetting a model
"""
logger.debug('testing reminder forgetting, week')
####
self.args.payroll_run_date = self.payroll_run_date
self.args.period = 'week'
r_set = reminders_set(self.session, self.args)
tbl = []
tcards = timecards(self.session, self.args)
t_set = timecards_set(self.session, self.args)
logger.debug('All timecards ever submitted')
for t in tcards:
tbl.append([t[0].id, t[0].period_start, t[0].period_end, t[1].active, t[1].title, t[2].active, t[3].active,
1 if timecard_hash(t[0]) in r_set else 0,
timecard_hash(t[0])])
logger.debug(tabulate(tbl,
headers=['id', 'start', 'end', 'contract-active', 'contract-title', 'employee-active',
'client-active', 'already-has-reminder', 'timecard-hash']))
# Reminder outstanding presented to user for selection
self.args.period = 'week'
week_reminders_to_be_sent = reminders(self.session, self.payroll_run_date - td(days=30), self.payroll_run_date,
t_set, self.args)
contract_of_forgotten_reminder = week_reminders_to_be_sent[0][0]
logger.debug('Pending Week Reminders BEFORE forgetting first reminder')
tbl = []
for r in week_reminders_to_be_sent:
# conract, start, end = t
tbl.append([r[0].id, r[0].title, '%s %s' % (r[0].employee.firstname, r[0].employee.lastname), r[1], r[2]])
logger.debug(tabulate(tbl, headers=['id', 'title', 'employee', 'start', 'end']))
assert 5 == len(week_reminders_to_be_sent)
self.args.number = 1
logger.debug('Forgetting first reminder')
forget_reminder(self.session, self.payroll_run_date - td(days=30), dt.now(), t_set, self.args)
t_set = timecards_set(self.session, self.args)
self.args.period = 'week'
week_reminders_to_be_sent = reminders(self.session, self.payroll_run_date - td(days=30), self.payroll_run_date,
t_set, self.args)
logger.debug('Pending Week Reminders AFTER forgetting first reminder')
tbl = []
for r in week_reminders_to_be_sent:
tbl.append([r[0].id, r[0].title, '%s %s' % (r[0].employee.firstname, r[0].employee.lastname), r[1], r[2]])
logger.debug(tabulate(tbl, headers=['id', 'title', 'employee', 'start', 'end']))
assert 4 == len(week_reminders_to_be_sent)
# former second reminder is current first reminder, first reminder forgotten
assert dt(2016, 7, 18) == week_reminders_to_be_sent[0][1]
assert dt(2016, 7, 24) == week_reminders_to_be_sent[0][2]
invs = self.session.query(Invoice).all()
last_inv = invs[len(invs)-1:len(invs)][0]
logger.debug(last_inv)
logger.debug(last_inv.period_start)
assert contract_of_forgotten_reminder == last_inv.contract
assert date_to_datetime(last_inv.period_start) == dt(2016, 7, 4)
assert date_to_datetime(last_inv.period_end) == dt(2016, 7, 10)
assert last_inv.voided == True
def align_pv(zonetemp_array, peak_ind, val_ind, dtime):
"""
align_pv takes the indices of peaks (peak_ind) and indices of
valleys (val_ind) and ensures that there is only one valley
in-between two consecutive peaks and only one peak between two
consecutive valleys. If there are two or more peaks between
valleys the largest value is kept. If there are two or more
valleys between two peaks then the smallest value is kept.
:param zonetemp_array:
:param peak_ind:
:param val_ind:
:param dtime:
:return:
"""
try:
reckon = 0
aligned = False
find_peak = True if peak_ind[0] < val_ind[0] else False
begin = 0
while not aligned:
if find_peak:
while peak_ind[reckon + 1] < val_ind[reckon + begin]:
if zonetemp_array[peak_ind[reckon]] > zonetemp_array[peak_ind[reckon + 1]]:
peak_ind = np.delete(peak_ind, reckon + 1)
else:
peak_ind = np.delete(peak_ind, reckon)
if (dtime[val_ind[reckon + begin]] - dtime[peak_ind[reckon]]) <= td(minutes=3):
val_ind = np.delete(val_ind, reckon + begin)
peak_ind = np.delete(peak_ind, reckon + 1)
else:
find_peak = False
begin += 1
if begin > 1:
begin = 0
reckon += 1
else:
while val_ind[reckon + 1] < peak_ind[reckon + begin]:
if zonetemp_array[val_ind[reckon]] > zonetemp_array[val_ind[reckon + 1]]:
val_ind = np.delete(val_ind, reckon)
else:
val_ind = np.delete(val_ind, reckon + 1)
if (dtime[peak_ind[reckon + begin]] - dtime[val_ind[reckon]]) <= td(minutes=3):
val_ind = np.delete(val_ind, reckon + 1)
peak_ind = np.delete(peak_ind, reckon + begin)
else:
find_peak = True
begin += 1
if begin > 1:
begin = 0
reckon += 1
if (reckon + 1) == min(val_ind.size, peak_ind.size):
aligned = True
if peak_ind.size > val_ind.size:
peak_ind = np.resize(peak_ind, val_ind.size)
elif val_ind.size > peak_ind.size:
val_ind = np.resize(val_ind, peak_ind.size)
return peak_ind, val_ind
except:
return np.empty(0), np.empty(0)
def day_interval(year, month, day, mode = "dt"):
"""
"""
start, end = dt(year, month, day), dt(year, month, day) + td(days=1) - td(seconds=1)
if mode == "dt":
return start, end
elif mode == "str":
return str(start), str(end)
def test_inequality_for_userresult():
lunch_break = td(minutes=33)
afternoon_work = td(hours=4, minutes=30)
out_evening = dt(2016, 6, 2, 17, 32)
myobj1 = UserResult(td(hours=4), lunch_break, afternoon_work, out_evening)
myobj2 = UserResult(td(hours=4, minutes=1), lunch_break, afternoon_work, out_evening)
assert myobj1 != myobj2
def test_join_disjoined(self):
# disjoined events
event_a = Event(name='Test #1', begin=dt(2016, 6, 10, 20, 10), duration=td(minutes=20))
event_b = Event(name='Test #2', begin=dt(2016, 6, 10, 20, 50), duration=td(minutes=20))
with pytest.raises(ValueError):
event_a.join(event_b)
with pytest.raises(ValueError):
event_b.join(event_a)
def __init__(self,user,limit=1000): self.cursor = tweepy.Cursor(myapi.user_timeline, id = user).items(limit) self.user = myapi.get_user(user) self.tweets = list(self.cursor) if self.user.utc_offset == None: self.offset = td() else: self.offset = td(seconds=self.user.utc_offset)
def create_feature18(_date, weather_library):
""" 18時時点での予想を実施する特徴ベクトルを作る
16時と性能差があまりない。
_date: 予報対象日
"""
print("16:00, feature of ", _date)
weather_kumamoto = weather_library["47819"]
weather_asootohime = weather_library["1240"]
weather_unzendake = weather_library["47818"]
weather_shimabara = weather_library["0962"]
pre_date = _date - td(days=1)
y, m, d = pre_date.year, pre_date.month, pre_date.day
_feature = []
_feature += [get_season(_date)]
_feature += [get_measurement_value(dt(y, m, d, 6), weather_asootohime, "気温")]
_feature += [get_measurement_value(dt(y, m, d, 14), weather_asootohime, "気温")]
_feature += [get_measurement_value(dt(y, m, d, 18), weather_asootohime, "気温")]
_feature += [get_measurement_value(dt(y, m, d, 6), weather_kumamoto, "気温")]
_feature += [get_measurement_value(dt(y, m, d, 14), weather_kumamoto, "気温")]
_feature += [get_measurement_value(dt(y, m, d, 18), weather_kumamoto, "気温")]
_feature += [get_diff(dt(y, m, d, 14), dt(y, m, d, 18), weather_kumamoto, "気温")]
_feature += [get_diff(dt(y, m, d, 14), dt(y, m, d, 18), weather_asootohime, "気温")]
_feature += [get_diff2(dt(y, m, d, 18), weather_unzendake, weather_shimabara, "気温")]
_feature += [get_average(dt(y, m, d, 18), weather_asootohime, "気温", range(0, 72))]
_feature += [get_average(dt(y, m, d, 18), weather_asootohime, "降水量", range(0, 72))]
_feature += [get_average(dt(y, m, d, 18), weather_asootohime, "降水量", range(0, 24))]
_feature += [get_average(dt(y, m, d, 18), weather_asootohime, "日照時間", range(0, 12))]
_feature += [get_measurement_value(dt(y, m, d, 18), weather_asootohime, "風速")]
_feature += [get_measurement_value(dt(y, m, d, 18), weather_asootohime, "風向")]
_feature += [get_measurement_value(dt(y, m, d, 18), weather_unzendake, "風速")]
_feature += [get_measurement_value(dt(y, m, d, 18), weather_unzendake, "風向")]
_feature += [get_someone(dt(y, m, d, 18), weather_asootohime, "風速", range(0, 6), max)]
_feature += [get_someone(dt(y, m, d, 18), weather_asootohime, "気温", range(0, 6), max)]
_feature += [get_someone(dt(y, m, d, 18), weather_unzendake, "風速", range(0, 6), max)]
_feature += [get_someone(dt(y, m, d, 18), weather_unzendake, "気温", range(0, 6), max)]
_feature += [get_average(dt(y, m, d, 18), weather_asootohime, "風速", range(1, 3))]
_feature += [get_measurement_value(dt(y, m, d, 6), weather_kumamoto, "露点温度")]
_feature += [get_measurement_value(dt(y, m, d, 18), weather_kumamoto, "露点温度")]
_feature += [get_measurement_value(dt(y, m, d, 18), weather_kumamoto, "現地気圧")]
_feature += [get_TTd(_date, 14, weather_kumamoto)]
_feature += [get_TTd(_date, 18, weather_kumamoto)]
_feature += [get_TTd(_date, 14, weather_unzendake)]
_feature += [get_TTd(_date, 18, weather_unzendake)]
_feature += [get_measurement_value(dt(y, m, d, 18), weather_kumamoto, "蒸気圧")]
_feature += [get_diff(dt(y, m, d, 15), dt(y, m, d, 18), weather_kumamoto, "現地気圧")]
_feature += [minus(get_average(dt(y, m, d, 18), weather_unzendake, "現地気圧", range(0, 72)), get_measurement_value(dt(y, m, d, 18), weather_unzendake, "現地気圧"))]
_feature += [get_measurement_value(dt(y, m, d, 18), weather_kumamoto, "湿度")]
_feature += [get_measurement_value(dt(y, m, d, 6) - td(days=1), weather_kumamoto, "視程")]
_feature += [get_measurement_value(dt(y, m, d, 21) - td(days=1), weather_unzendake, "視程")]
_feature += [get_measurement_value(dt(y, m, d, 21) - td(days=1), weather_kumamoto, "雲量")]
#print("fuga")
_feature = [-math.e if x == None else x for x in _feature] # 欠損値を-eに置換
_feature = [-math.e if x == "休止中" else x for x in _feature] # 欠損値を-eに置換
_feature = [-math.e if x == "#" else x for x in _feature] # 欠損値を-eに置換
#print(_feature)
return np.array(_feature)
def test_inequality_for_usertime():
in_morning = dt(2016, 6, 2, 9, 1)
out_lunch = dt(2016, 6, 2, 13, 2)
in_lunch = dt(2016, 6, 2, 13, 35)
total_hours = td(hours=8)
myobj1 = UserTime(in_morning, out_lunch, in_lunch, total_hours, td(minutes=30))
myobj2 = UserTime(in_morning, out_lunch, in_lunch, total_hours, td(minutes=29))
assert myobj1 != myobj2
def setUp(self):
super(ListChecksTestCase, self).setUp()
self.checks = [
Check(user=self.alice, name="Alice 1", timeout=td(seconds=3600), grace=td(seconds=900)),
Check(user=self.alice, name="Alice 2", timeout=td(seconds=86400), grace=td(seconds=3600)),
]
for check in self.checks:
check.save()
def test_no_end_element(self):
self.assertListEqual(
[],
list(generic_range(
dt(2001, 5, 3), dt(2001, 5, 3), td(seconds=60))))
self.assertListEqual(
[dt(2015, 3, 6), dt(2015, 3, 7), dt(2015, 3, 8)],
list(generic_range(
dt(2015, 3, 6), dt(2015, 3, 9), td(days=1))))
def get_url_string_dates(d1, d2):
d1 = date(*d1)
d2 = date(*d2)
days_lst = [d1+td(days=i) for i in xrange((d2-d1).days)]
urls = ['index.cgi?month='+str(day.month)+'&day='+str(day.day)+'&year='+str(day.year) for day in days_lst]
urls = [box_url+url for url in urls][1:]
day_lst2 = [str(d1 + td(days=day)) for day in xrange((d2-d1).days)]
day_s_lst2 = [''.join(str(day)) for day in day_lst2][1:]
#don't want todays hence [1:]
return urls, day_s_lst2
def test_equality_for_usertime():
in_morning = dt(2016, 6, 2, 9, 1)
out_lunch = dt(2016, 6, 2, 13, 2)
in_lunch = dt(2016, 6, 2, 13, 35)
total_hours = td(hours=8)
min_lunch_length = td(minutes=30)
myobj1 = UserTime(in_morning, out_lunch, in_lunch, total_hours, min_lunch_length)
myobj2 = UserTime(in_morning, out_lunch, in_lunch, total_hours, min_lunch_length)
assert myobj1 == myobj2
def emit(self, record):
if self.send_time + td(seconds=15) < dt.now():
self._send_last_logs()
self.send_time = dt.now()
def main():
global in_cal
print('Init')
# get the list of added events
try:
with open("added.json", 'rb+') as infile:
in_cal = pickle.load(infile)
except FileNotFoundError:
in_cal = []
graph = gr.GraphAPI(access_token=at)
# authenticate with google
home_dir = os.path.expanduser('~')
credential_dir = os.path.join(home_dir, '.credentials')
if not os.path.exists(credential_dir):
os.makedirs(credential_dir)
credential_path = os.path.join(credential_dir,
'fb-calendar.json')
store = Storage(credential_path)
creds = store.get()
if not creds or creds.invalid:
auth = OAuth2WebServerFlow(client_id=get_file_line("code/g_client_id"),
client_secret=get_file_line("code/g_client_secret"),
scope="https://www.googleapis.com/auth/calendar",
redirect_uri="http://localhost/")
creds = tools.run_flow(auth, store)
# now we can use the creds and send our access token along for the ride!
http = creds.authorize(httplib2.Http())
service = discovery.build('calendar', 'v3', http=http)
all_e = graph.get_object(id="me", fields="events{id, name, timezone, start_time, end_time, event_times, rsvp_status}")
events = all_e['events']['data']
for e in events:
ename = e['name']
eid = e['id']
etimezone = e['timezone']
rsvp = e['rsvp_status']
try:
# for i in range(0, len(e['event_times']), 1)):
estart = e['start_time']
eend = e['end_time']
if estart == '' and eend == '':
estart = e['event_times'][0]['start_time']
eend = e['event_times'][0]['end_time']
except KeyError:
# might be that only start time specified, so try get the start time
try:
estart = e['start_time']
if estart != '':
# problem is, we have no enddate
eend = estart
eend = dp.parse(eend)
eend = eend + td(hours=1)
eend = str(eend.isoformat())
except KeyError:
estart=''
eend=''
if not (eid in in_cal) and rsvp == "attending":
# we want to add it into the calendar
add = {
'summary': ename,
'start': {
'dateTime': estart,
'timeZone': etimezone,
},
'end': {
'dateTime': eend,
'timeZone': etimezone,
},
'reminders': {
'useDefault': False,
'overrides': [
{'method': 'popup', 'minutes': 60},
],
},
}
# event = service.events().insert(calendarId=cal_id, body=add).execute()
# print ('Event created: %s' % (event.get('htmlLink')))
in_cal.append(eid)
# reset.
estart = ''
eend = ''
def add_pushover(request):
if settings.PUSHOVER_API_TOKEN is None or settings.PUSHOVER_SUBSCRIPTION_URL is None:
raise Http404("pushover integration is not available")
if request.method == "POST":
# Initiate the subscription
nonce = get_random_string()
request.session["po_nonce"] = nonce
failure_url = settings.SITE_ROOT + reverse("hc-channels")
success_url = settings.SITE_ROOT + reverse(
"hc-add-pushover") + "?" + urlencode(
{
"nonce": nonce,
"prio": request.POST.get("po_priority", "0"),
})
subscription_url = settings.PUSHOVER_SUBSCRIPTION_URL + "?" + urlencode(
{
"success": success_url,
"failure": failure_url,
})
return redirect(subscription_url)
# Handle successful subscriptions
if "pushover_user_key" in request.GET:
if "nonce" not in request.GET or "prio" not in request.GET:
return HttpResponseBadRequest()
# Validate nonce
if request.GET["nonce"] != request.session.get("po_nonce"):
return HttpResponseForbidden()
# Validate priority
if request.GET["prio"] not in ("-2", "-1", "0", "1", "2"):
return HttpResponseBadRequest()
# All looks well--
del request.session["po_nonce"]
if request.GET.get("pushover_unsubscribed") == "1":
# Unsubscription: delete all Pushover channels for this user
Channel.objects.filter(user=request.user, kind="po").delete()
return redirect("hc-channels")
else:
# Subscription
user_key = request.GET["pushover_user_key"]
priority = int(request.GET["prio"])
return do_add_channel(request, {
"kind": "po",
"value": "%s|%d" % (user_key, priority),
})
# Show Integration Settings form
ctx = {
"page": "channels",
"po_retry_delay": td(seconds=settings.PUSHOVER_EMERGENCY_RETRY_DELAY),
"po_expiration": td(seconds=settings.PUSHOVER_EMERGENCY_EXPIRATION),
}
return render(request, "integrations/add_pushover.html", ctx)
def handle(self, *args, **options):
if not settings.DEBUG:
raise Exception("Trying to seed in production.")
delete = options['delete']
print("Deleting old entries: " + str(delete))
if delete:
FrontPageNews.objects.all().delete()
if delete:
User.objects.all().delete()
print("Creating superuser admin")
User.objects.create_user(username='******',
password='******',
first_name=fake.first_name(),
last_name=fake.last_name(),
address=fake.address(),
email='*****@*****.**',
about=fake.text(),
birthday=fake.date_time_between_dates(
datetime_start=None,
datetime_end=None,
tzinfo=None),
is_superuser=True,
is_staff=True)
if delete:
NablaGroup.objects.all().delete()
count = random.randint(5, 10)
print("Creating %d NablaGroups" % count)
ngroups = [
NablaGroup.objects.create(name=fake.word() + "-" + str(i) +
"-komitéen") for i in range(count)
]
if delete:
FysmatClass.objects.all().delete()
count = random.randint(7, 10)
print("Creating %d FysmatClasses" % count)
year = dt.now().year
classes = [
FysmatClass.objects.create(starting_year=year - i,
name="kull%d" % (year - i))
for i in range(count)
]
count = random.randint(50, 100)
print("Creating %d NablaUsers" % count)
for i in range(count):
username = "******" % i
user = User.objects.create_user(
username=username,
first_name=fake.first_name(),
last_name=fake.last_name(),
address=fake.address(),
password='******',
email=username + '@stud.ntnu.no',
ntnu_card_number=str(random.randint(int(1E7),
int(1E10) - 1)),
about=fake.text(),
birthday=fake.date_time_between_dates(datetime_start=None,
datetime_end=None,
tzinfo=None),
)
nabla_group = random.choice(ngroups)
nabla_group.user_set.add(user)
fysmat_class = random.choice(classes)
fysmat_class.user_set.add(user)
if delete:
NewsArticle.objects.all().delete()
count = random.randint(10, 20)
print("Creating %d News" % count)
for i in range(count):
article = NewsArticle.objects.create(headline=s(),
body=g(),
lead_paragraph=g())
f = FrontPageNews()
f.content_object = article
f.save()
if delete:
Event.objects.all().delete()
count = random.randint(10, 20)
print("Creating %d Events" % count)
for i in range(count):
start = fake.date_time_between_dates(datetime_start=dt.now(),
datetime_end=(dt.now() +
td(30)))
event = Event.objects.create(headline=s(),
body=g(),
lead_paragraph=g(),
short_name=ss(),
event_start=start,
event_end=start + td(hours=4),
organizer=fake.name(),
location=fake.address(),
registration_required=True,
registration_deadline=(dt.now() +
td(30)),
registration_start=dt.now(),
places=10)
f = FrontPageNews()
f.content_object = event
f.save()
def load_message_handler(self, peer, sender, bus, topic, headers, message):
"""
Call back method for building power meter. Calculates the average
building demand over a configurable time and manages the curtailment
time and curtailment break times.
:param peer:
:param sender:
:param bus:
:param topic:
:param headers:
:param message:
:return:
"""
# Use instantaneous power or average building power.
data = message[0]
current_power = data[self.power_point]
current_time = parse(headers["Date"])
power_max, power_min = self.generate_power_points(current_power)
_log.debug("QUANTITIES: max {} - min {} - cur {}".format(
power_max, power_min, current_power))
topic_suffix = "/".join([self.logging_topic, "BuildingFlexibility"])
message = {
"MaximumPower": power_max,
"MinimumPower": power_min,
"AveragePower": current_power
}
self.publish_record(topic_suffix, message)
if self.bldg_power:
current_average_window = self.bldg_power[-1][0] - self.bldg_power[
0][0] + td(seconds=15)
else:
current_average_window = td(minutes=0)
if current_average_window >= self.average_building_power_window and current_power > 0:
self.bldg_power.append(
(current_time, current_power, power_min, power_max))
self.bldg_power.pop(0)
elif current_power > 0:
self.bldg_power.append(
(current_time, current_power, power_min, power_max))
smoothing_constant = 2.0 / (len(self.bldg_power) +
1.0) * 2.0 if self.bldg_power else 1.0
smoothing_constant = smoothing_constant if smoothing_constant <= 1.0 else 1.0
power_sort = list(self.bldg_power)
power_sort.sort(reverse=True)
avg_power_max = 0.
avg_power_min = 0.
avg_power = 0.
for n in xrange(len(self.bldg_power)):
avg_power += power_sort[n][1] * smoothing_constant * (
1.0 - smoothing_constant)**n
avg_power_min += power_sort[n][2] * smoothing_constant * (
1.0 - smoothing_constant)**n
avg_power_max += power_sort[n][3] * smoothing_constant * (
1.0 - smoothing_constant)**n
self.avg_power = avg_power
self.power_min = avg_power_min
self.power_max = avg_power_max
df = pd.read_excel(r'C:\Users\J20032\Documents\FTTIY_20190221.xlsx')
pn = '261K775G04'
# brute force handling for sampled parts
samps = ['261K775G03', '261K775G04', '255K250G07']
df = df[df['Part'] == str(pn)]
#def get_yields(pn,df):
# NOTE: add handling for sample inspected parts (i.e. columns will have sample inspected values)
date_init = d = df.Date.min()
date_end = df.Date.max()
dates = []
while d < date_end:
dates = dates + [d]
d = d + td(days=1)
if pn in samps:
CL = 0.98
elif df['Date'].unique()[0] > 20:
CL = get_20day_avg(df)
else:
tot_insp = df[(df['Part'] == pn) & (df['WCTR_CD'] != 'MYVARWK') &
(df['Oper'] == 4500)].shape[0]
tot_accept = df[(df['Part'] == pn) & (df['WCTR_CD'] != 'MYVARWK') &
(df['Oper'] == 4500) &
(df['Result'] == 'ACCEPTED')].shape[0]
CL = tot_accept / tot_insp
fttiy = [[
'Date', 'QtyInspected', 'QtyAccepted', 'Yield', 'Centerline', 'UCL', 'LCL'
]]
for n in dates:
def test_it_obeys_next_report_date(self):
self.profile.next_report_date = now() + td(days=1)
self.profile.save()
found = Command().handle_one_monthly_report()
self.assertFalse(found)
def test_get_status_handles_paused_check(self):
check = Check()
check.status = "paused"
check.last_ping = timezone.now() - td(days=1, minutes=30)
self.assertEqual(check.get_status(), "paused")
def test_get_status_obeys_down_status(self):
check = Check()
check.status = "down"
check.last_ping = timezone.now() - td(minutes=1)
self.assertEqual(check.get_status(), "down")
def _seed_flights_and_task(_db,
names: list,
days_before: int = None,
days_after: int = None,
limiter=250):
print('Seeding Flights and Tasks table')
count = 0
df = pd.DataFrame(pd.read_pickle(get_app_data_path('flights.p')))
if days_after is not None and days_after is not None:
df = df.loc[(df.TIME >= now() - td(days=days_before))
& (df.TIME <= now() + td(days=days_after))].reset_index(
drop=True)
df.rename(columns={
'FL': 'flight_num',
'TER': 'terminal',
'TIME': 'scheduled_time',
'TYPE': 'type_',
'PAX': 'pax',
'CONTAINERS': 'num_containers',
"BAY": 'bay'
},
inplace=True)
mixture = rng.normal(-2.5, 3, len(df)) + rng.normal(2.5, 3, len(df))
df['actual_time'] = [
t + td(minutes=m) for t, m in zip(df.scheduled_time, mixture)
]
otime = now()
time = otime + td(minutes=1)
ddf = df.to_dict('records')
for e in ProgressEnumerate(ddf):
_db.session.add(Flights(**e))
nc = e['num_containers']
if nc > 0:
_containers = [4 for _ in range(nc // 4)]
if nc % 4 != 0:
_containers.append(nc % 4)
at = e['actual_time']
if e['type_'] == 'A':
source = e['flight_num']
dest = e['terminal'] + 'HOT'
rt = at + td(minutes=rng.triangular(1, 1.8, 3))
else:
source = e['terminal'] + 'HOT'
dest = e['flight_num']
rt = at - td(minutes=35)
ts = rt + td(minutes=rng.uniform(0, 1.5))
ct = ts + td(minutes=rng.triangular(16, 17, 18))
ttt = None
if at <= time:
status = 'done'
driver = rng.choice(names)
ttt = (ct - ts).total_seconds()
elif ct > now():
status = 'er'
driver = rng.choice(names)
ct = None
else:
status = 'ready'
ct = None
if at <= otime:
driver = rng.choice(names)
else:
driver = None
for c in _containers:
task_data = {
'status': status,
'ready_time': rt,
'completed_time': ct,
'flight_time': at,
'driver': driver,
'containers': c,
'source': source,
'destination': dest,
'bay': e['bay'],
'task_start_time': ts,
'task_time_taken': ttt
}
_db.session.add(Tasks(**task_data))
if count % limiter == 0:
_db.session.commit()
count += 1
try:
print("Committing data. This may take a while..")
_db.session.commit()
except SQLAlchemyError as e:
_db.session.rollback()
print("ERROR: Mass commit failed!!!! ",
e,
sep='\n',
end='\n',
file=sys.stderr)
CODES_SCHEMA: dict = { # rf_unknown
_0001: {
NAME: "rf_unknown",
I_: r"^00FFFF02(00|FF)$", # loopback
W_: r"^(0[0-9A-F]|F[CF])000005(01|05)$",
}, # TODO: there appears to be a dodgy? RQ/RP for UFC
_0002: { # WIP: outdoor_sensor - CODE_IDX_COMPLEX?
NAME: "outdoor_sensor",
I_: r"^0[0-4][0-9A-F]{4}(00|01|02|05)$", # Domoticz sends ^02!!
RQ: r"^00$", # NOTE: sent by an RFG100
},
_0004: { # zone_name
NAME: "zone_name",
I_: r"^0[0-9A-F]00([0-9A-F]){40}$", # RP is same, null_rp: xxxx,7F*20
RQ: r"^0[0-9A-F]00$",
EXPIRES: td(days=1),
},
_0005: { # system_zones
NAME: "system_zones",
# I --- 34:092243 --:------ 34:092243 0005 012 000A0000-000F0000-00100000
I_: r"^(00[01][0-9A-F]{5}){1,3}$",
RQ: r"^00[01][0-9A-F]$", # f"00{zone_type}", evohome wont respond to 00
RP: r"^00[01][0-9A-F]{3,5}$",
EXPIRES: False,
},
_0006: { # schedule_sync # TODO: what for DHW schedule?
NAME: "schedule_sync",
RQ: r"^00$",
RP: r"^0005[0-9A-F]{4}$",
},
_0008: { # relay_demand, TODO: check RP
def _compute_history(self, history_range):
to_date = date.today()
if history_range == "months":
delta = rd(months=1)
elif history_range == "weeks":
delta = rd(weeks=1)
else:
delta = rd(days=1)
last_dates = {}
last_qtys = {}
product_ids = []
for product in self:
_logger.debug(
"Computing '%s' history for product: %s",
history_range,
product,
)
product_ids.append(product.id)
history_ids = self.env['product.history'].search([
('history_range', '=', history_range),
('product_id', '=', product.id)
])
if history_ids:
self.env.cr.execute(
"""
SELECT to_date, end_qty FROM product_history
WHERE product_id = %s
AND history_range = %s
ORDER BY "id" DESC LIMIT 1
""", (product.id, history_range))
last_record = self.env.cr.fetchone()
last_date = last_record and last_record[0]
last_qty = last_record and last_record[1] or 0
from_date = last_date + td(days=1)
else:
self.env.cr.execute(
"""
SELECT date FROM stock_move
WHERE product_id = %s
ORDER BY "date" LIMIT 1
""", (product.id, ))
fetch = self.env.cr.fetchone()
from_date = fetch and fetch[0].date() or to_date
if history_range == "months":
from_date = date(from_date.year, from_date.month, 1)
elif history_range == "weeks":
from_date = from_date - td(days=from_date.weekday())
last_qty = 0
last_dates[product.id] = from_date
last_qtys[product.id] = last_qty
product_ids.sort()
last_date = min(last_dates.values())
sql = """
SELECT
MIN(sm.id),
sm.product_id,
DATE_TRUNC('day', sm.date),
sm.state,
SUM(sm.product_qty) AS product_qty,
orig.usage,
dest.usage
FROM stock_move AS sm,
stock_location AS orig,
stock_location AS dest
WHERE
sm.location_id = orig.id
AND sm.location_dest_id = dest.id
AND sm.product_id in %s
AND sm.date >= %s
AND sm.state != 'cancel'
GROUP BY
sm.product_id,
DATE_TRUNC('day', sm.date),
sm.state,
orig.usage,
dest.usage
ORDER BY
sm.product_id,
DATE_TRUNC('day', sm.date)
"""
params = (tuple(product_ids), fields.Datetime.to_string(last_date))
self.env.cr.execute(sql, params)
stock_moves = self.env.cr.fetchall()
for product_id in product_ids:
stock_moves_product = []
while len(stock_moves):
if stock_moves[0][1] == product_id:
stock_moves_product.append(stock_moves.pop(0))
else:
break
if not stock_moves_product:
continue
product = self.env['product.product'].browse(product_id)
from_date = last_dates.get(product_id)
last_qty = last_qtys.get(product_id, 0)
history_id = False
while from_date + delta <= to_date:
stock_moves_product_dates = []
start_qty = last_qty
last_date = from_date + delta - td(days=1)
purchase_qty = sale_qty = loss_qty = 0
incoming_qty = outgoing_qty = 0
i_move = 0
while i_move < len(stock_moves_product):
if stock_moves_product[i_move][2].date() >= from_date and \
stock_moves_product[i_move][2].date() <= last_date:
stock_moves_product_dates.append(
stock_moves_product.pop(i_move))
else:
i_move += 1
for move in stock_moves_product_dates:
if move[3] == 'done':
if move[5] == 'internal':
if move[6] == 'supplier':
purchase_qty -= move[4]
elif move[6] == 'customer':
sale_qty -= move[4]
elif move[6] == 'inventory':
loss_qty -= move[4]
elif move[6] == 'internal':
if move[5] == 'supplier':
purchase_qty += move[4]
elif move[5] == 'customer':
sale_qty += move[4]
elif move[5] == 'inventory':
loss_qty += move[4]
else:
if move[5] == 'internal':
if move[6] == 'supplier':
incoming_qty -= move[4]
elif move[6] == 'customer':
outgoing_qty -= move[4]
elif move[6] == 'inventory':
outgoing_qty -= move[4]
elif move[6] == 'internal':
if move[5] == 'supplier':
incoming_qty += move[4]
elif move[5] == 'customer':
outgoing_qty += move[4]
elif move[5] == 'inventory':
outgoing_qty += move[4]
last_qty = start_qty + purchase_qty + sale_qty + loss_qty
vals = {
'product_id': product_id,
'product_tmpl_id': product.product_tmpl_id.id,
'location_id': self.env['stock.location'].search([])[0].id,
'from_date': dt.strftime(from_date, "%Y-%m-%d"),
'to_date': dt.strftime(last_date, "%Y-%m-%d"),
'purchase_qty': purchase_qty,
'sale_qty': sale_qty,
'loss_qty': loss_qty,
'start_qty': start_qty,
'end_qty': last_qty,
'virtual_qty': last_qty + incoming_qty + outgoing_qty,
'incoming_qty': incoming_qty,
'outgoing_qty': outgoing_qty,
'history_range': history_range,
}
history_id = self.env['product.history'].create(vals)
from_date = last_date + td(days=1)
if history_id:
if history_range == "months":
product.last_history_month = history_id.id
elif history_range == "weeks":
product.last_history_week = history_id.id
else:
product.last_history_day = history_id.id
def _search_age(self, operator, value):
today = fDate.from_string(fDate.today())
value_days = td(days=value)
value_date = fDate.to_string(today - value_days)
return [('date_release', operator, value_date)]
def dates_list(max_dates=10):
"""Generate a timeseries dates list."""
now = dt.now()
return [str(now + td(days=i * 10))[0:10] for i in range(max_dates)]
def get_data(self,
start_date,
end_date,
variables,
lowerleft_lat,
lowerleft_lon,
upperright_lat,
upperright_lon,
update=None):
'''
Retrieve data from ncWMS
:param start_date: datetime.datetime: Earliest requested date
:param end_date: datetime.datetime: Latest requested date
:param variables: List of variables to retrieve
:param lowerleft_lat: Latitude (WGS84) degrees N, lower left of bounding box
:param lowerleft_lon: Longitude (WGS84) degrees E, lower left of bounding box
:param upperright_lat: Latitude (WGS84) degrees N, upper right of bounding box
:param upperright_lon: Longitude (WGS84) degrees E, upper right of bounding box
:param update: A QT progressBar object (optional)
:return:
'''
# Validate input params
self.check_bbox(lower_left_lat=lowerleft_lat,
lower_left_lon=lowerleft_lon,
upper_right_lat=upperright_lat,
upper_right_lon=upperright_lon)
self.check_vars(variables)
self.check_times(start_date, end_date)
self.request_params = {
'vars': variables,
'start_date': start_date,
'end_date': end_date,
'bbox':
[lowerleft_lat, lowerleft_lon, upperright_lat, upperright_lon]
}
start_dates = pd.date_range(start_date,
end_date,
freq='%dD' %
(self.request_length, )).to_datetime()
# Create queue of retrievals, and safeguard against over-running dataset end date
for s in range(0, len(start_dates)):
if self.killed:
break
if s == len(start_dates) - 1:
end_date_candidate = end_date + td(seconds=3600 * 24 - 1)
final_date = True
else:
end_date_candidate = start_dates[s +
1] - td(seconds=self.time_res)
final_date = False
if end_date_candidate > self.end_date:
final_date = True
end_date_candidate = self.end_date
self.results[start_dates[s]] = self.retrieve(
start_dates[s], end_date_candidate
) # Get data from start date to next start date minus time resolution
if update is not None:
update.emit({
'progress':
100 * float(s) / float(len(start_dates)),
'message':
' (%s to %s)' % (start_dates[s].strftime('%Y-%m-%d'),
end_date_candidate.strftime('%Y-%m-%d'))
})
if final_date:
break
self.convert_to_nc3()
update.emit({'progress': 100, 'message': ' Cleaning up...'})
def query_historian(self, device_info):
"""
Query VOLTTRON historian for all points in device_info
for regression period. All data will be combined and aggregated
to a common interval (i.e., 1Min).
:param device_info: dict; {regression token: query topic}
:return:
"""
aggregated_df = None
rpc_start = self.start
rpc_end = rpc_start + td(hours=8)
# get data via query to historian
# Query loop for device will continue until start > end
# or all data for regression period is obtained.
while rpc_start < self.end.astimezone(pytz.UTC):
df = None
# If exclude_weekend_holidays is True then do not query for
# these times. Reduces rpc calls and message bus traffic.
if self.exclude_weekends_holidays:
if is_weekend_holiday(rpc_start, rpc_end, self.local_tz):
rpc_start = rpc_start + td(hours=8)
rpc_end = rpc_start + td(minutes=479)
if rpc_end > self.end.astimezone(UTC_TZ):
rpc_end = self.end.astimezone(UTC_TZ)
continue
for token, topic in device_info.items():
rpc_start_str = format_timestamp(rpc_start)
rpc_end_str = format_timestamp(rpc_end)
_log.debug("RPC start {} - RPC end {} - topic {}".format(
rpc_start_str, rpc_end_str, topic))
# Currently historian is limited to 1000 records per query.
result = self.vip.rpc.call(
self.data_source,
'query',
topic=topic,
start=rpc_start_str,
end=rpc_end_str,
order='FIRST_TO_LAST',
count=1000,
external_platform=self.external_platform).get(timeout=300)
_log.debug(result)
if not bool(result) or "values" not in result or \
("values" in result and not bool(result["values"])):
_log.debug(
'ERROR: empty RPC return for '
'coefficient *%s* at %s', token, rpc_start)
break
# TODO: check if enough data is present and compensate for significant missing data
data = pd.DataFrame(result['values'], columns=['Date', token])
data['Date'] = pd.to_datetime(data['Date'])
# Data is aggregated to some common frequency.
# This is important if data has different seconds/minutes.
# For minute trended data this is set to 1Min.
data = data.groupby([
pd.Grouper(key='Date',
freq=self.data_aggregation_frequency)
]).mean()
df = data if df is None else pd.merge(
df, data, how='outer', left_index=True, right_index=True)
if aggregated_df is None:
aggregated_df = df
else:
aggregated_df = aggregated_df.append(df)
# Currently 8 hours is the maximum interval that the historian
# will support for one minute data. 1000 max records can be
# returned per query and each query has 2 fields timestamp, value.
# Note: If trending is at sub-minute interval this logic would
# need to be revised to account for this or the count in historian
# could be increased.
rpc_start = rpc_start + td(hours=8)
if rpc_start + td(minutes=479) <= self.end.astimezone(pytz.UTC):
rpc_end = rpc_start + td(minutes=479) #
else:
rpc_end = self.end.astimezone(pytz.UTC)
return aggregated_df
from datetime import datetime as dt, timedelta as td
from olympusphotosync import utils
now = dt.now().replace(microsecond=0)
@mark.parametrize('spec,expect', [
('2017/11/20', dt(2017, 11, 20, 0, 0)),
('2017-11-20', dt(2017, 11, 20, 0, 0)),
('2017-10-29T12:52:09', dt(2017, 10, 29, 12, 52, 9)),
('2017-10-29 12:52', dt(2017, 10, 29, 12, 52, 0)),
('12:52:09', now.replace(hour=12, minute=52, second=9)),
('12:52', now.replace(hour=12, minute=52, second=0)),
('today', now.replace(hour=0, minute=0, second=0)),
('1h', now - td(hours=1)),
('10d', now - td(days=10)),
])
def test_parse_timespec(spec, expect):
assert utils.parse_timespec(spec) == expect
def test_parse_timespec_failure():
assert utils.parse_timespec('not a date') is None
@mark.parametrize('size,expect', [
(2048, '2.00KiB'),
(123235, '120.35KiB'),
(121234624, '115.62MiB'),
(2**34, '16.00GiB'),
'power': None,
'last_change': dt(2000, 1, 1)
},
'deadzone': {
'temp': 0.1,
'time': 180
},
'daycycle': {
'avgT': 27,
'deltaT': 2,
'coldest_hour': 2
}
},
'leds': {
'state': None,
'sunrise': td(hours=7),
'sunset': td(hours=21)
},
'thermistors': {
'adc': ADCPi(0x68, 0x69, 18)
}
}
runNo = dt.now().strftime("%Y%m%d%H%M")
verbose = False
cycle_log = []
thermistor_volts = []
#
# Initialisation
#
def __init__(self, config_path, **kwargs):
super(TransactiveIlcCoordinator, self).__init__(**kwargs)
config = utils.load_config(config_path)
campus = config.get("campus", "")
building = config.get("building", "")
logging_topic = config.get("logging_topic", "tnc")
self.target_topic = '/'.join(
['record', 'target_agent', campus, building, 'goal'])
self.logging_topic = '/'.join(
[logging_topic, campus, building, "TCILC"])
cluster_configs = config["clusters"]
self.clusters = ClusterContainer()
for cluster_config in cluster_configs:
device_cluster_config = cluster_config["device_cluster_file"]
load_type = cluster_config.get("load_type", "discreet")
if device_cluster_config[0] == "~":
device_cluster_config = os.path.expanduser(
device_cluster_config)
cluster_config = utils.load_config(device_cluster_config)
cluster = DeviceClusters(cluster_config, load_type)
self.clusters.add_curtailment_cluster(cluster)
self.device_topic_list = []
self.device_topic_map = {}
all_devices = self.clusters.get_device_name_list()
occupancy_schedule = config.get("occupancy_schedule", False)
self.occupancy_schedule = init_schedule(occupancy_schedule)
for device_name in all_devices:
device_topic = topics.DEVICES_VALUE(campus=campus,
building=building,
unit=device_name,
path="",
point="all")
self.device_topic_list.append(device_topic)
self.device_topic_map[device_topic] = device_name
power_token = config["power_meter"]
power_meter = power_token["device"]
self.power_point = power_token["point"]
self.current_time = None
self.power_meter_topic = topics.DEVICES_VALUE(campus=campus,
building=building,
unit=power_meter,
path="",
point="all")
self.demand_limit = None
self.bldg_power = []
self.avg_power = 0.
self.last_demand_update = None
self.demand_curve = None
self.power_prices = None
self.power_min = None
self.power_max = None
self.average_building_power_window = td(
minutes=config.get("average_building_power_window", 15))
self.minimum_update_time = td(
minutes=config.get("minimum_update_time", 5))
self.market_name = config.get("market", "electric")
self.tz = None
# self.prices = power_prices
self.oat_predictions = []
self.comfort_to_dollar = config.get('comfort_to_dollar', 1.0)
self.prices_from = config.get("prices_from", 'pubsub')
self.prices_topic = config.get("price_topic", "prices")
self.prices_file = config.get("price_file")
self.join_market(self.market_name, BUYER, None, self.offer_callback,
None, self.price_callback, self.error_callback)
async def _do_private(self, message):
# remind me of class
if 'remind' in message.content:
match = re.search(
r'((MAA|CSE|MIE|ECO|PHY)[0-9]{3})',
message.content,
)
if not match:
await self._no(message)
return
ccode = match.group(0)
# create user's calendar
if message.author.id not in self._calendars:
await message.channel.send(
'I need your synapses ical link !')
return
# create remind task
cal = self._calendars[message.author.id]
cal.remindme(ccode, message.author)
await message.channel.send(
f'will remind you of {ccode} 5 minutes before')
if 'calendar/ical' in message.content:
async with message.channel.typing():
match = re.search(
r'https://[^\s]+',
message.content,
)
if not match:
await self._no(message)
return
url = match.group(0)
reminder = await Reminder.from_link(url)
self._calendars[message.author.id] = reminder
await message.channel.send(
'your calendar is in my mind ;)')
# boast possibilities
await message.channel.send((
'you can now ask:\n'
' - "next class",\n'
' - "classes today",\n'
' - "classes tomorrow",\n'
' - "remind me next MAA306",'
))
if 'next class' in message.content:
if message.author.id not in self._calendars:
await self._no(message)
return
reminder = self._calendars[message.author.id]
msg = next(iter(reminder.listme()))
await message.channel.send(msg)
if 'classes' in message.content:
if message.author.id not in self._calendars:
await self._no(message)
return
if 'today' in message.content:
date = dt.today().date()
elif 'tomorrow' in message.content:
date = (dt.today() + td(days=1)).date()
else:
await self._no(message)
return
reminder = self._calendars[message.author.id]
for msg in reminder.listme(date=date):
await message.channel.send(msg)
def run(modelDir, inputDict):
try:
''' Run the model in its directory. '''
# Check whether model exist or not
if not os.path.isdir(modelDir):
os.makedirs(modelDir)
inputDict["created"] = str(dt.now())
# MAYBEFIX: remove this data dump. Check showModel in web.py and renderTemplate()
with open(pJoin(modelDir, "allInputData.json"), "w") as inputFile:
json.dump(inputDict, inputFile, indent=4)
# Copy spcific climate data into model directory
inputDict["climateName"], latforpvwatts = zipCodeToClimateName(
inputDict["zipCode"])
shutil.copy(
pJoin(__metaModel__._omfDir, "data", "Climate",
inputDict["climateName"] + ".tmy2"),
pJoin(modelDir, "climate.tmy2"))
# Ready to run
startTime = dt.now()
# Set up SAM data structures.
ssc = nrelsam2013.SSCAPI()
dat = ssc.ssc_data_create()
# Required user inputs.
ssc.ssc_data_set_string(dat, "file_name", modelDir + "/climate.tmy2")
ssc.ssc_data_set_number(dat, "system_size",
float(inputDict["SystemSize"]))
# SAM options where we take defaults.
ssc.ssc_data_set_number(dat, "derate", 0.97)
ssc.ssc_data_set_number(dat, "track_mode", 0)
ssc.ssc_data_set_number(dat, "azimuth", 180)
ssc.ssc_data_set_number(dat, "tilt_eq_lat", 1)
# Run PV system simulation.
mod = ssc.ssc_module_create("pvwattsv1")
ssc.ssc_module_exec(mod, dat)
# Set the timezone to be UTC, it won't affect calculation and display, relative offset handled in pvWatts.html
startDateTime = "2013-01-01 00:00:00 UTC"
# Timestamp output.
outData = {}
outData["timeStamps"] = [
dt.strftime(
dt.strptime(startDateTime[0:19], "%Y-%m-%d %H:%M:%S") +
td(**{"hours": x}), "%Y-%m-%d %H:%M:%S") + " UTC"
for x in range(int(8760))
]
# HACK: makes it easier to calculate some things later.
outData["pythonTimeStamps"] = [
dt(2012, 1, 1, 0) + x * td(hours=1) for x in range(8760)
]
# Geodata output.
outData["city"] = ssc.ssc_data_get_string(dat, "city")
outData["state"] = ssc.ssc_data_get_string(dat, "state")
outData["lat"] = ssc.ssc_data_get_number(dat, "lat")
outData["lon"] = ssc.ssc_data_get_number(dat, "lon")
outData["elev"] = ssc.ssc_data_get_number(dat, "elev")
# Weather output.
outData["climate"] = {}
outData["climate"][
"Global Horizontal Radiation (W/m^2)"] = ssc.ssc_data_get_array(
dat, "gh")
outData["climate"][
"Plane of Array Irradiance (W/m^2)"] = ssc.ssc_data_get_array(
dat, "poa")
outData["climate"]["Ambient Temperature (F)"] = ssc.ssc_data_get_array(
dat, "tamb")
outData["climate"]["Cell Temperature (F)"] = ssc.ssc_data_get_array(
dat, "tcell")
outData["climate"]["Wind Speed (m/s)"] = ssc.ssc_data_get_array(
dat, "wspd")
# Power generation.
outData["powerOutputAc"] = ssc.ssc_data_get_array(dat, "ac")
# TODO: INSERT TJ CODE BELOW
tjCode(inputDict, outData)
del outData["pythonTimeStamps"]
# TODO: INSERT TJ CODE ABOVE
# Stdout/stderr.
outData["stdout"] = "Success"
outData["stderr"] = ""
# Write the output.
with open(pJoin(modelDir, "allOutputData.json"), "w") as outFile:
json.dump(outData, outFile, indent=4)
# Update the runTime in the input file.
endTime = dt.now()
inputDict["runTime"] = str(
td(seconds=int((endTime - startTime).total_seconds())))
with open(pJoin(modelDir, "allInputData.json"), "w") as inFile:
json.dump(inputDict, inFile, indent=4)
except:
# If input range wasn't valid delete output, write error to disk.
cancel(modelDir)
thisErr = traceback.format_exc()
print 'ERROR IN MODEL', modelDir, thisErr
inputDict['stderr'] = thisErr
with open(os.path.join(modelDir, 'stderr.txt'), 'w') as errorFile:
errorFile.write(thisErr)
with open(pJoin(modelDir, "allInputData.json"), "w") as inFile:
json.dump(inputDict, inFile, indent=4)
def test_hours_work(self):
s = format_hms(td(seconds=62 + 60 * 60))
self.assertEqual(s, "1 h 1 min 2 sec")
s = format_hms(td(seconds=60 * 60))
self.assertEqual(s, "1 h 0 min 0 sec")
def __init__(self, config_path, **kwargs):
"""
Constructor for
:param config_path:
:param kwargs:
"""
super(RegressionAgent, self).__init__(**kwargs)
config = utils.load_config(config_path)
self.debug = config.get("debug", True)
# Read equipment configuration parameters
self.regression_inprogress = False
site = config.get('campus', '')
building = config.get('building', '')
device = config.get('device', '')
subdevices = config.get('subdevices', [])
device_points = config.get('device_points')
subdevice_points = config.get('subdevice_points')
# VIP identity for the VOLTTRON historian
self.data_source = config.get('historian_vip', 'crate.prod')
# External platform for remote RPC call.
self.external_platform = config.get("external_platform", "")
if device_points is None and subdevice_points is None:
_log.warning('Missing device or subdevice points in config.')
_log.warning("Cannot perform regression! Exiting!")
sys.exit()
if not device and not subdevices:
_log.warning('Missing device topic(s)!')
model_struc = config.get('model_structure')
model_dependent = config.get('model_dependent')
model_independent = config.get('model_independent')
regress_hourly = config.get('regress_hourly', True)
shift_dependent_data = config.get("shift_dependent_data", False)
post_processing = config.get('post_processing')
# All parameters related to running in simulation - for time keeping only
self.simulation = config.get("simulation", False)
self.simulation_data_topic = config.get("simulation_data_topic",
"devices")
simulation_interval = config.get("simulation_regression_interval", 15)
self.simulation_regression_interval = td(days=simulation_interval)
self.simulation_initial_time = None
if model_struc is None or model_dependent is None or model_independent is None:
_log.exception(
'At least one of the model fields is missing in config')
sys.exit()
device_list = subdevices if subdevices else [device]
self.device_list = {}
self.regression_list = {}
for unit in device_list:
self.device_list[unit] = Device(site, building, device, unit,
device_points, subdevice_points)
self.regression_list[unit] = Regression(
model_independent, model_dependent, model_struc,
regress_hourly, shift_dependent_data, post_processing,
self.debug)
# Aggregate data to this value of minutes
self.data_aggregation_frequency = config.get(
"data_aggregation_frequency", "h")
# This sets up the cron schedule to run once every 10080 minutes
# Once every 7 days
self.run_schedule = config.get("run_schedule", "*/10080 * * * *")
self.training_interval = int(config.get('training_interval', 5))
if self.training_interval < 5 and "h" in self.data_aggregation_frequency:
_log.debug("There is a limited number of days in regression!!")
_log.debug("Update aggregation frequency for hourly to 15 minute!")
self.data_aggregation_frequency = "15min"
self.exclude_weekends_holidays = config.get(
"exclude_weekends_holidays", True)
self.run_onstart = config.get("run_onstart", True)
self.one_shot = config.get('one_shot', False)
self.local_tz = pytz.timezone(config.get('local_tz', 'US/Pacific'))
# If one shot is true then start and end should be specified
if self.one_shot:
self.start = config.get('start')
self.end = config.get('end')
self.coefficient_results = {}
self.exec_start = None
_log.debug("Validate historian running vip: %s - platform %s",
self.data_source, self.external_platform)
def _update(check, spec):
# First, validate the supplied channel codes/names
if "channels" not in spec:
# If the channels key is not present, don't update check's channels
new_channels = None
elif spec["channels"] == "*":
# "*" means "all project's channels"
new_channels = Channel.objects.filter(project=check.project)
elif spec.get("channels") == "":
# "" means "empty list"
new_channels = []
else:
# expect a comma-separated list of channel codes or names
new_channels = set()
available = list(Channel.objects.filter(project=check.project))
for s in spec["channels"].split(","):
if s == "":
raise BadChannelException("empty channel identifier")
matches = [c for c in available if str(c.code) == s or c.name == s]
if len(matches) == 0:
raise BadChannelException("invalid channel identifier: %s" % s)
elif len(matches) > 1:
raise BadChannelException("non-unique channel identifier: %s" %
s)
new_channels.add(matches[0])
need_save = False
if check.pk is None:
# Empty pk means we're inserting a new check,
# and so do need to save() it:
need_save = True
if "name" in spec and check.name != spec["name"]:
check.name = spec["name"]
need_save = True
if "tags" in spec and check.tags != spec["tags"]:
check.tags = spec["tags"]
need_save = True
if "desc" in spec and check.desc != spec["desc"]:
check.desc = spec["desc"]
need_save = True
if "manual_resume" in spec and check.manual_resume != spec["manual_resume"]:
check.manual_resume = spec["manual_resume"]
need_save = True
if "methods" in spec and check.methods != spec["methods"]:
check.methods = spec["methods"]
need_save = True
if "timeout" in spec and "schedule" not in spec:
new_timeout = td(seconds=spec["timeout"])
if check.kind != "simple" or check.timeout != new_timeout:
check.kind = "simple"
check.timeout = new_timeout
need_save = True
if "grace" in spec:
new_grace = td(seconds=spec["grace"])
if check.grace != new_grace:
check.grace = new_grace
need_save = True
if "schedule" in spec:
if check.kind != "cron" or check.schedule != spec["schedule"]:
check.kind = "cron"
check.schedule = spec["schedule"]
need_save = True
if "tz" in spec and check.tz != spec["tz"]:
check.tz = spec["tz"]
need_save = True
if need_save:
check.alert_after = check.going_down_after()
check.save()
# This needs to be done after saving the check, because of
# the M2M relation between checks and channels:
if new_channels is not None:
check.channel_set.set(new_channels)
return check
def test_get_status_handles_past_grace(self):
check = Check()
check.status = "up"
check.last_ping = timezone.now() - td(days=2)
self.assertEqual(check.get_status(), "down")
def test_times(date, holidays):
"""holidays harus berupa list"""
if date in holidays:
"""hari libur"""
schedule = "holiday"
hour_in = td(seconds=0)
hour_out = td(seconds=0)
check_in = td(seconds=0)
check_out = td(seconds=0)
test_late_in(hour_in, check_in)
test_early_out(hour_in, check_in)
test_overtime(hour_in, hour_out, check_in, check_out)
test_worktime(hour_in, hour_out, check_in, check_out)
test_totaltime(check_in, check_out)
test_overtype(hour_in, check_in)
normal = 0
else:
if date.weekday == 6:
"""hari minggu """
schedule = "sunday"
hour_in = td(seconds=0)
hour_out = td(seconds=0)
check_in = td(seconds=0)
check_out = td(seconds=0)
test_late_in(hour_in, check_in)
test_early_out(hour_in, check_in)
test_overtime(hour_in, hour_out, check_in, check_out)
test_worktime(hour_in, hour_out, check_in, check_out)
test_totaltime(check_in, check_out)
test_overtype(hour_in, check_in)
normal = 0
elif date.weekday == 5:
"""hari sabtu """
schedule = "saturday"
hour_in = td(hours=8)
hour_out = td(hours=13)
check_in = td(hours=ri(7, 8))
if check_in.hours == 8:
check_in + td(minutes=ri(0, 15), seconds=ri(0, 59))
else:
check_in + td(minutes=ri(0, 59), seconds=ri(0, 59))
check_out = td(hours=ri(15, 18),
minutes=ri(0, 59),
seconds=ri(0, 59))
test_late_in(hour_in, check_in)
test_early_out(hour_in, check_in)
test_overtime(hour_in, hour_out, check_in, check_out)
test_worktime(hour_in, hour_out, check_in, check_out)
test_totaltime(check_in, check_out)
test_overtype(hour_in, check_in)
normal = 1
else:
"""senin s/d jumat"""
schedule = "normal day"
hour_in = td(hours=8)
hour_out = td(hours=16)
check_in = td(hours=ri(7, 8))
if check_in.hours == 8:
check_in + td(minutes=ri(0, 15), seconds=ri(0, 59))
else:
check_in + td(minutes=ri(0, 59), seconds=ri(0, 59))
check_out = td(hours=ri(15, 18),
minutes=ri(0, 59),
seconds=ri(0, 59))
test_late_in(hour_in, check_in)
test_early_out(hour_in, check_in)
test_overtime(hour_in, hour_out, check_in, check_out)
test_worktime(hour_in, hour_out, check_in, check_out)
test_totaltime(check_in, check_out)
test_overtype(hour_in, check_in)
def test_status_works_with_grace_period(self):
check = Check()
check.status = "up"
check.last_ping = timezone.now() - td(days=1, minutes=30)
self.assertEqual(check.get_status(), "grace")
def test_overtype(hour_in, check_in):
if test_overtime > 0:
return round((hour_in - check_in) / td(hours=1), 2)
else:
return " "
def _inverse_age(self):
today = fDate.from_string(fDate.today())
for book in self.filtered('date_release'):
d = td(days=book.age_days) - today
book.date_release = fDate.to_string(d)
print book.date_release
from datetime import timedelta as td
from cachecow.decorators import cached_function
from django.db.models.signals import post_save
from django.shortcuts import get_object_or_404, Http404
from canvas.models import UserInfo
from canvas.redis_models import RealtimeChannel
from drawquest.apps.drawquest_auth.models import User
from drawquest.apps.following import models as following_models
from drawquest.apps.quest_comments.models import QuestComment
from drawquest.apps.quests.models import Quest
from website.apps.canvas_auth.models import User as CanvasUser
@cached_function(timeout=td(days=7), key=[
'user_profile',
lambda username: username,
])
def user_profile(username):
user = get_object_or_404(User.objects.select_related('userinfo', 'userinfo__avatar'), username=username)
if not user.is_active:
raise Http404("Deactivated user.")
follow_counts = following_models.counts(user)
return {
'user': user.details(),
'bio': user.userinfo.bio_text,
'quest_completion_count': Quest.completed_by_user_count(user),
