def ywd_to_date(year, week_label, day):
# Sundays mess with strptime, make sure it is 0.
if day == 7: day = 0
datestruct = strptime("%d %d %d" % (year, week_label, day), "%Y %W %w")
date = datetime(datestruct[0], datestruct[1], datestruct[2])
isocal_week = int(date.isocalendar()[1])
formatted_week = int(date.strftime("%W"))
# week number by "%W" is zero when a new year has occoured
# within the week and the weekday is in January. That won't
# do any good to comparison betweeen isocalendar().
#
# here we make sure the week is not zero by asking for the
# weeknumber from Monday the same week.
if formatted_week == 0:
before_monday = date.isocalendar()[2] - 1
monday = date - timedelta(days=before_monday)
formatted_week = int(monday.strftime("%W"))
# for years beginning on a Monday, all is fine since
# the "week label" (the one PEOPLE use) and the calculated
# week is the same.
if isocal_week == formatted_week:
return date.date()
# for the rest, turn the clock backwards since we are 1 week
# ahead of time.
behave = timedelta(days=7)
return (datetime(datestruct[0], datestruct[1], datestruct[2]) - behave).date()
def getSamplesDegroupedByWeek(self, df, funds):
'''
Degrouped by calendar week
:param df:
:param period:
:return:
'''
samples_sets = []
fund_samples = []
indexes = []
b_y = df.index[0].isocalendar()[0]
b_w = df.index[0].isocalendar()[1]
#print b_y, b_w
for date in df.index:
year = date.isocalendar()[0]
week = date.isocalendar()[1]
if (b_y == year) and (b_w == week):
indexes.append(date)
else:
# df_sample = df.loc[df.index.isin(indexes)]
samples_sets.append(df.loc[df.index.isin(indexes)])
indexes = []
b_y, b_w = year, week
indexes.append(date)
return samples_sets
def weekly_stats(dictionary):
#Monday is first day of week
#This is done poorly and needs to be rewritten
count_dict = {} #create keys (weeks)
weekly_runs = {} #dictionary to hold the actual runs
for date in dictionary:
week_number = date.isocalendar()[1]
count_dict[str(date.year) + "-" + str(week_number)] = [] #create list
weekly_runs[str(date.year) + "-" + str(week_number)] = {} #create dict
for date in dictionary:
week_number = date.isocalendar()[1]
count_dict[str(date.year) + "-" + str(week_number)].append(
float(dictionary[date]
['distance_miles'])) #list of distances for each week
weekly_runs[str(date.year) + "-" +
str(week_number)][date] = dictionary[date]
final_dict = {}
for week in count_dict:
final_dict[week] = {}
final_dict[week]['run_dict'] = weekly_runs[
week] #add the actual runs to the final dictionary
final_dict[week]['run_count'] = len(count_dict[week])
final_dict[week]['miles_ran'] = sum(count_dict[week])
week_name = week.split('-')
final_dict[week]['year'] = str(week_name[0])
final_dict[week]['week'] = str(week_name[1])
week_datetime = datetime.datetime.strptime(week + '-1', "%Y-%W-%w")
final_dict[week]['date_human'] = str(week_datetime.year) + "-" + str(
week_datetime.month) + "-" + str(week_datetime.day)
return final_dict
def create_report(self, cr, uid, date, user_id, context = None):
month = date.month
year = str(date.year)
quarter = 0
if month <4:
quarter = 1
elif month <7:
quarter = 2
elif month < 10:
quarter = 3
else:
quarter = 4
vals = {}
vals = {
'recruiter_id': user_id,
'date': date,
'open_deals': self.count_deal_open(cr, uid, date, user_id, context=context),
'open_handover_deals': self.count_deal_open_hendover(cr, uid, date, user_id, context=context),
#'meeting_deals': self.count_meeting_deal(cr, uid, date, user_id, context=context),
'won_deals': self.count_deal_won(cr, uid, date, user_id, context=context),
#'transfer_candidates': self.count_transfer_candidates(cr, uid, date, user_id, context=context),
'lost_deals': self.count_deal_lost(cr, uid, date, user_id, context=context),
'cease_deals': self.count_deal_cease(cr, uid, date, user_id, context=context),
'closed_tasks': self.count_task_closed(cr, uid, date, user_id, context=context),
'name': str(user_id)+'-'+str(date.isocalendar()[1]).zfill(2),
'year': year,
'month': year+'-M'+ str(month).zfill(2),
'week_number': year+'-W'+str(date.isocalendar()[1]).zfill(2),
'quarter': year+'-Q'+str(quarter),
}
return super(jp_report_recruitment, self).create(cr, uid, vals, context=context)
def get_two_week_sprint_name(self, timeStruct):
""" timeInSec = Some time in the sprint assuming sprint starts at monday"""
weekDay = date.weekday(timeStruct)
weekNumber = date.isocalendar(timeStruct)[1]
if (weekNumber & 1) == 1: # odd weekNumber
sprintName = timeStruct.strftime("%y") + "W" + str(
weekNumber).zfill(2)
sprintStartDate = timeStruct + timedelta(days=-weekDay)
sprintEndDate = timeStruct + timedelta(weeks=2, days=-weekDay)
else: # even weekNumber
tempTimeStruct = timeStruct + timedelta(weeks=-1)
year = date.isocalendar(tempTimeStruct)[0]
sprintName = str(year)[-2] + str(year)[-1] + "W" + str(
date.isocalendar(tempTimeStruct)[1]).zfill(
2) # subtracting a week to make sprint name
sprintStartDate = tempTimeStruct + timedelta(days=-weekDay)
sprintEndDate = tempTimeStruct + timedelta(weeks=2, days=-weekDay)
sprintStart = sprintStartDate.strftime(
"%Y/%m/%d 12:00") #'yyyy/mm/dd 12:00'
sprintEnd = sprintEndDate.strftime(
"%Y/%m/%d 12:00") #'yyyy/mm/dd 12:00'
return sprintName, sprintStart, sprintEnd
def weekly_stats(dictionary):
#same as monthly status but for every week sunday - monday
#point to find week that has highest miles or most runs
count_dict = {} #create keys (weeks)
for date in dictionary:
#day_of_month = datetime.datetime.now().day
#week_number = ((date.day - 1) // 7)
week_number = date.isocalendar()[1]
count_dict[str(date.year) + "-" + str(week_number)] = []
for date in dictionary:
week_number = date.isocalendar()[1]
count_dict[str(date.year) + "-" + str(week_number)].append(
float(dictionary[date]['distance_miles']))
final_dict = {}
for week in count_dict:
final_dict[week] = {}
final_dict[week]['run_count'] = len(count_dict[week])
final_dict[week]['miles_ran'] = sum(count_dict[week])
week_name = week.split('-')
final_dict[week]['year'] = str(week_name[0])
final_dict[week]['week'] = str(week_name[1])
week_datetime = datetime.datetime.strptime(week + '-1', "%Y-%W-%w")
final_dict[week]['date_human'] = str(week_datetime.year) + "-" + str(
week_datetime.month) + "-" + str(week_datetime.day)
return final_dict
def queryset(self, request, queryset):
"""
Returns the filtered queryset based on the value
provided in the query string and retrievable via
`self.value()`.
"""
today = date.today()
#isocalendar : Return a 3-tuple, (ISO year, ISO week number, ISO weekday) weekday starts at sunday = 0
isocal = date.isocalendar(today)
curr_year = today.year
curr_month = today.month
week_beginning = today- timedelta(days=date.isocalendar(today)[2])
week_end = today + timedelta(days=(6 - date.isocalendar(today)[2]))
if self.value() == 'ended':
return queryset.filter(end_date__lt=today)
if self.value() == 'week':
return queryset.filter(end_date__range=(week_beginning, week_end))
if self.value() == 'month':
return queryset.filter(end_date__month=curr_month)
if self.value() == 'year':
return queryset.filter(end_date__year=2016)
if self.value() == 'nextyear':
return queryset.filter(end_date__year=curr_year+1)
def create_report(self, cr, uid, date, user_id, context = None):
month = date.month
year = str(date.year)
quarter = 0
if month <4:
quarter = 1
elif month <7:
quarter = 2
elif month < 10:
quarter = 3
else:
quarter = 4
vals={}
vals = {
'user_id': user_id,
'date': date-timedelta(days=1),
'created_deals': self.count_deal_new(cr, uid, date, user_id, context=context),
'invoice_deals': self.count_deal_invoice(cr, uid, date, user_id, context=context),
'added_leads': self.count_lead_new(cr, uid, date, user_id, context=context),
'closed_tasks': self.count_task_closed(cr, uid, date, user_id, context=context),
'created_offers': self.count_offers_new(cr, uid, date, user_id, context=context),
'created_contracts': self.count_contracts_new(cr, uid, date, user_id, context=context),
'name': str(user_id)+'-'+str(date.isocalendar()[1]).zfill(2),
'year': year,
'month': year+'-M'+ str(month).zfill(2),
'week_number': year+'-W'+str(date.isocalendar()[1]).zfill(2),
'quarter': year+'-Q'+str(quarter),
}
return super(jp_report_sales, self).create(cr, uid, vals, context=context)
def get_menu_by_day(day):
week_number_of_given_day = date.isocalendar(day)[1]
week_name_of_given_day = f'{date.isocalendar(day)[0]}W{date.isocalendar(day)[1]}'
# detect invalid input
current_week_number = date.isocalendar(date.today())[1]
# if week of given day is in future
if week_number_of_given_day > current_week_number:
raise ObjectDoesNotExist
query_response = table.query(
KeyConditionExpression=Key('year_week').eq(week_name_of_given_day))
# if no entry in db
if query_response['Count'] == 0:
# detect invalid input
# if day is in the past and no records are found
if week_number_of_given_day < current_week_number:
raise ObjectDoesNotExist
pdf_obj = BytesIO(scrap_pdf())
menu = ReadFromMenu(pdf_obj)
lunch_list = menu.get_lunch_list()
dinner_list = menu.get_dinner_list()
week = {'meals': {}}
for i in range(7):
week['meals'][str(i)] = {
'lunch': lunch_list[i],
'dinner': dinner_list[i],
}
meals_of_week = week['meals']
# create item in ddb table
table.put_item(Item={
'year_week': week_name_of_given_day,
'week': meals_of_week
})
upload_obj_to_pdf_bucket(pdf_obj, week_name_of_given_day + '.pdf')
weekday_of_given_day = str(date.weekday(day))
lunch_of_given_day = meals_of_week[weekday_of_given_day]['lunch']
dinner_of_given_day = meals_of_week[weekday_of_given_day]['dinner']
return lunch_of_given_day, dinner_of_given_day
# object exist in db
else:
meals_of_given_week = query_response['Items'][0]['week']
weekday_of_given_day = str(date.weekday(day))
lunch_of_given_day = meals_of_given_week[weekday_of_given_day]['lunch']
dinner_of_given_day = meals_of_given_week[weekday_of_given_day][
'dinner']
return lunch_of_given_day, dinner_of_given_day
def add_features(self):
'''
Adds new columns to DataFrame which are need for csv file output.
'''
# add columns needed for analysis
self.df['pub_date'] = pd.to_datetime(self.df['pub_date'])
self.df['pub_week'] = self.df.pub_date.map(lambda x: date.isocalendar(x)[1])
self.df['pub_year'] = self.df.pub_date.map(lambda x: date.isocalendar(x)[0])
self.df['pub_month'] = self.df.pub_date.map(lambda x: x.month)
self.df['pub_week_date'] = \
self.df.pub_date.map(lambda x : x.date() + tdel(0-x.date().weekday()))
# 0 -> Monday of the pub_week
self.df['pub_week_date_str'] = \
self.df.pub_date.map(lambda x : (x.date() + tdel(0-x.date().weekday()))
.strftime("%Y-%m-%d"))
def parse_week(url, date, canteen):
url += '/{0}/{1:0>2}/'.format(*date.isocalendar())
document = parse(urlopen(url).read())
week_data = document.find('table', id='week-menu')
if week_data is None:
print('week not found')
return
weekDays = extractWeekDates(week_data.thead.find_all('th')[0].text)
for category_tr in week_data.find_all('tr'):
category = category_tr.find('th').text
i = 0
for day_td in category_tr.find_all('td'):
for meal_data in day_td.find_all('p', 'dish'):
if not meal_data.find('strong'):
continue
name = extra_regex.sub('', meal_data.find('strong').text)
name = strip_regex.sub(' ', name).strip()
if len(name) > 250:
name = name[:245] + '...'
notes = [span['title'] for span in meal_data.find_all('span', 'tooltip')]
notes += [img['title'] for img in meal_data.find_all('img')]
prices = price_regex.findall(meal_data.find('span', 'price').text)
canteen.addMeal(weekDays[i], category, name,
list(set(notes)),
prices, ('student', 'employee', 'other')
)
i += 1
def _to_tuple(self, date):
'''Convert the given date to the tuple according
to what period type we want'''
if self.granularity == 'days':
return tuple(date.isoformat()[:10].split('-'))
elif self.granularity == 'weeks':
return date.isocalendar()[:2]
def day_index_education(date, fy, fw, fd):
r"""Return a tuple `(weekday, week)` where `weekday` is the day
number of the date (0 for monday) and `week` is the number of the
current week. Return `(-1, -1)` if the date is before the date of
days `fd` of week number `fw` of year `fy`. The zero week is the
week containing the first of september.
EXEMPLES::
>>> import datetime
>>> d = datetime.datetime(2020, 9, 1)
>>> d.isocalendar()
(2020, 36, 2)
>>> day_index_education(datetime.datetime(2021, 1, 1), 2020, 36, 2)
(17, 4)
>>> day_index_education(datetime.datetime(2020, 12, 31), 2020, 36, 2)
(17, 3)
"""
y, w, d = date.isocalendar()
if y > fy:
return (52 + w - fw - int(d == 0), d - 1 + (7 * int(d == 0)))
if y == fy:
if w >= fw:
if d >= fd:
return (w - fw - int(d == 0), d - 1 + (7 * int(d == 0)))
return (-1, -1)
def parse_week(url, date, canteen):
url += '/{0}/{1:0>2}/'.format(*date.isocalendar())
document = parse(urlopen(url).read())
week_data = document.find('table', id='week-menu')
if week_data is None:
print('week not found')
return
weekDays = extractWeekDates(week_data.thead.find_all('th')[0].text)
for category_tr in week_data.find_all('tr'):
category = category_tr.find('th').text
i = 0
for day_td in category_tr.find_all('td'):
for meal_data in day_td.find_all('p', 'dish'):
if not meal_data.find('strong'):
continue
name = extra_regex.sub('', meal_data.find('strong').text)
name = strip_regex.sub(' ', name).strip()
if len(name) > 250:
name = name[:245] + '...'
notes = [
span['title']
for span in meal_data.find_all('span', 'tooltip')
]
notes += [img['title'] for img in meal_data.find_all('img')]
prices = price_regex.findall(
meal_data.find('span', 'price').text)
canteen.addMeal(weekDays[i], category, name, list(set(notes)),
prices, ('student', 'employee', 'other'))
i += 1
def get_actual(self):
week_no = date.isocalendar(date.today())[1]
is_even_week = bool((week_no + 1) % 2)
items = self.select_related("soup", "meal", "dessert").filter(even_week=is_even_week)
return dict([(one.day, one) for one in items])
def get_week_range_by_date(self, date):
"""Find the first/last day of the week for the given day.
Assuming weeks start on Sunday and end on Saturday.
Returns a tuple of ``(start_date, end_date)``.
"""
# isocalendar calculates the year, week of the year, and day
# of the week.
# dow is Mon = 1, Sat = 6, Sun = 7
year, week, dow = date.isocalendar()
# Find the first day of the week.
if dow == 7:
# Since we want to start with Sunday, let's test for that
# condition.
start_date = date
else:
# Otherwise, subtract `dow` number days to get the first day
start_date = date - timedelta(dow)
# Now, add 6 for the last day of the week (i.e., count up to Saturday)
end_date = start_date + timedelta(6)
return (start_date, end_date)
def readSpringAheadFile():
inData = {}
global nTotalNumWeeks
if len(springAheadFile) <= 0:
return (inData)
with open(springAheadFile, newline='') as fileIn:
inDict = csv.DictReader(fileIn, delimiter=',', quotechar='"')
for row in inDict:
nColCnt = len(row.items()) - 1
if nColCnt > nTotalNumWeeks:
nTotalNumWeeks = nColCnt
usr = row['User']
date = datetime.strptime(row['Date'], '%m/%d/%Y')
weekNum = date.isocalendar()[1]
if usr in inData:
dayHours = float(row['Hours'])
if weekNum in inData[usr]:
inData[usr][weekNum] = float(
inData[usr][weekNum]) + dayHours
else:
inData[usr][weekNum] = dayHours
else:
stats = {}
stats['SpringAhead Rate'] = float(
row['Bill Rate'].split("$")[1])
stats['Avg Run'] = float(40)
stats["Hours"] = ""
stats["Dollars"] = ""
stats[weekNum] = float(row['Hours'])
inData[usr] = stats
return (inData)
def week_of(dateStr):
date = convert_to_date(dateStr)
if date:
iso_year, iso_week, iso_weekday = date.isocalendar()
return iso_week
else:
return None
def getweeknumber(day):
"""return iso week number for datetime.date object
:param day: date
:type day: datetime.date()
:return: weeknumber
:rtype: int
"""
return date.isocalendar(day)[1]
def getweeknumber(day):
"""return iso week number for datetime.date object
:param day: date
:type day: datetime.date()
:return: weeknumber
:rtype: int
"""
return date.isocalendar(day)[1]
def getCurrentLogfileName(self): # Filename: log_<year>_<week>_<day>_run<run count>.json date = self.application_data_.progress_[1] week = date.isocalendar()[1] year = date.year day = date.weekday() run_count = self.application_data_.run_count_ return "log_" + str(year) + "_" + str(week) + "_" + str(day) + "_run" + str(run_count) + ".json"
def get_actual(self):
week_no = date.isocalendar(date.today())[1]
is_even_week = bool((week_no + 1) % 2)
items = self.select_related('soup', 'meal', 'dessert').\
filter(even_week=is_even_week)
return dict([(one.day, one) for one in items])
def iso_year_for_date(date):
"""
returns the iso year for the given date
e.g. '2014-09-16' -> 2014
the iso year can differn from the gregorian year
e.g. '2012-01-01' -> 2011
"""
return date.isocalendar()[0]
def update_weekly_posts(weekly_posts_list, date_str, start, end):
# Recebe a data do post e calcula em qual semana foi postado
# para preencher na semana correspondente na lista
date = convert_to_datetime(date_str)
date = date.isocalendar()[1]
date = date - start
if date >= 0 and date <= abs(end - start):
weekly_posts_list[date] += 1
return weekly_posts_list
def get_cadence_fixversion_name(self, timeStruct):
""" timeStruct = Some time in the sprint assuming sprint starts at monday"""
weekDay = date.weekday(timeStruct)
weekNumber = date.isocalendar(timeStruct)[1]
if (weekNumber & 1) == 1: # odd weekNumber
timeStruct = timeStruct + timedelta(
weeks=1
) # first week of sprint added 1 week to get to the biweekly deadline.
release_date = (timeStruct + timedelta(days=4 - weekDay)).strftime(
"%Y-%m-%d"
) # setting the release date to friday in the release date week 'yyyy/mm/dd'
fixversion_name = timeStruct.strftime("%y") + str(
date.isocalendar(timeStruct)[1]).zfill(2)
return fixversion_name, release_date
def sacasemana(fecha): s = fecha args = time.strptime(s, "%Y-%m-%d")[:3] date = datetime.date(*args) weeknum = date.isocalendar()[1] return weeknum
def term_week_of_date(self, date):
if not self.is_date_within_term(date):
log_str = str(date) + ' outside term range, defaulting to '
d = ensure_date(date)
if d > self.end:
log_str += 'last week'
print log_str
return LAST_WEEK
if d < self.start:
log_str += 'first week'
print log_str
return FIRST_WEEK
return (date.isocalendar()[1] - self.start.isocalendar()[1])
def load(self, address):
try:
web_handle = urllib2.urlopen(address)
web_text = web_handle.read()
# matches = sre.findall('\<td class="pl"\>(.*?)\&', web_text)
# matches = sre.findall('\>(.*?)\ \<', web_text)
date_match = sre.findall('(\d{1,2}\-\d{1,2}\-\d{2})', web_text)
lines = sre.findall('\<td class="plleft"\>(.*?)\</td\>\</tr\>', \
web_text)
if (date_match != []):
date = date_match[1];
date = datetime.strptime(date, "%m-%d-%y")
date = date.isocalendar()
for line in lines:
artist = ""
song = ""
album = ""
matches = sre.findall('\<td class="pl"\>(.*?)\ ', line)
tracker = 1
playlist = True
for match in matches:
if tracker == 1:
artist = match
tracker = 2
elif tracker == 2:
song = match
tracker = 3
elif tracker == 3:
album = match
self.add_song(artist, song, album, date)
tracker = 4
elif tracker ==4:
tracker =1
else:
print "Wtf this shouldn't happen."
else:
playlist = False
pass
print "No playlist checkpoint 1"
return playlist
except urllib2.HTTPError, e:
print "Cannot retreieve URL: HTTP Error Code", e.code
def get_one_week_sprint_name(self, timeStruct):
""" timeInSec = Some time in the sprint assuming sprint starts at monday"""
weekDay = date.weekday(timeStruct)
weekNumber = date.isocalendar(timeStruct)[1]
sprintName = timeStruct.strftime("%y") + "W" + str(weekNumber).zfill(2)
sprintStartDate = timeStruct + timedelta(days=-weekDay)
sprintEndDate = timeStruct + timedelta(weeks=1, days=-weekDay)
sprintStart = sprintStartDate.strftime(
"%Y/%m/%d 12:00") #'yyyy/mm/dd 12:00'
sprintEnd = sprintEndDate.strftime(
"%Y/%m/%d 12:00") #'yyyy/mm/dd 12:00'
return sprintName, sprintStart, sprintEnd
def _handle_iso_week_number(date, timestring, index_timestamp):
date_iso = date.isocalendar()
iso_week_str = "{Y:04d}{W:02d}".format(Y=date_iso[0], W=date_iso[1])
greg_week_str = datetime.strftime(date, "%Y%W")
# Edge case 1: ISO week number is bigger than Greg week number.
# Ex: year 2014, all ISO week numbers were 1 more than in Greg.
# Edge case 2: 2010-01-01 in ISO: 2009.W53, in Greg: 2010.W00
# For Greg converting 2009.W53 gives 2010-01-04, converting back
# to same timestring gives: 2010.W01.
if (iso_week_str > greg_week_str or datetime.strftime(date, timestring) != index_timestamp):
# Remove one week in this case
date = date - timedelta(days=7)
return date
def weekly_traffic_counts(daily_counts, sigma=None):
# Bin the short term counts by week
by_week = {}
for date, count in daily_counts.iteritems():
if date == 'AADT':
continue
week = date.isocalendar()[1]
try:
by_week[week][date] = count
except KeyError:
by_week[week] = {date: count}
# TODO: Inefficient to go through again - fix
if sigma:
return filter_weekly_traffic_counts(by_week, sigma)
return by_week, None
def week_range(date):
# dow is Mon = 1, Sat = 6, Sun = 7
year, week, dow = date.isocalendar()
# Find the first day of the week.
if dow == 7:
# Since we want to start with Sunday, let's test for that condition.
start_date = date
else:
# Otherwise, subtract `dow` number days to get the first day
start_date = date - timedelta(dow)
# Now, add 6 for the last day of the week (i.e., count up to Saturday)
end_date = start_date + timedelta(6)
return (start_date, end_date)
def articles_topic_week(self, outfile): #articles per topic per week
'''
INPUT DataFrame
OUTPUT DataFrame
creats DataFrame to be written to csv file which is used by web app
'''
#columns to be written in csv file
col0 = ['topic_sorted','pub_week','pub_week_date','headline','web_url']
col1 = ["headline"+str(i) for i in range(5)]
col2 = ['url'+str(i) for i in range(5)]
d = self.articles_week_dict()
for topic in self.df['topic_sorted'].order().unique().tolist():
for pub_week_date in self.df['pub_week_date'].order().unique().tolist():
pub_week_date_str = pub_week_date.strftime("%Y-%m-%d")
cond = "topic_sorted == " + str(topic) + \
" & pub_week_date_str == '" + pub_week_date_str + "'"
dg = self.df.query(cond).sort(['weight'], ascending=[0])[col0]
headlines = [unicodedata.normalize('NFKD', h).encode('ascii','ignore')
for h in dg['headline'].values.tolist()]
urls = dg['web_url'].values.tolist()
row = {}
#if (len(urls) > 0):
row['n_articles'] = len(urls)
row['fraction'] = len(urls)/d[pub_week_date_str]
row['pub_week_date'] = pub_week_date_str
row['topic'] = topic
row['pub_week'] = date.isocalendar(pub_week_date)[1]
for i in range(len(col1)):
if i < len(urls):
row[col2[i]] = urls[i]
row[col1[i]] = headlines[i]
else:
row[col2[i]] = "x" # just a place holder
row[col1[i]] = "x"
self.data.append(row)
newdf = pd.DataFrame(self.data)
# rearrange columns
newdf = newdf[['topic','pub_week','n_articles','fraction','pub_week_date']+
col1+col2]
newdf.to_csv(outfile, index=False)
def month_calendar(date):
'''
Returns a month calendar list of weeks [with nested list of days] for the given date.
'''
today_day = date.today().day
today_month = date.today().month
month = date.month
year = date.year
curr_week = date.isocalendar()[1]
first_week = datetime(year, month, 1).isocalendar()[1]
cal = calendar.HTMLCalendar()
return {'month_calendar': cal.monthdayscalendar(int(year), int(month)),
'month_name': month_name(year, month),
'year': year, 'month': month, 'curr_week': curr_week,
'first_week': first_week, 'today_day': today_day, 'today_month': today_month}
def update_report(self, cr, uid, date, user_id, context = None):
record_id = self.search(cr, uid, [('name','=',str(user_id)+'-'+str(date.isocalendar()[1]).zfill(2))])
if record_id != []:
record = self.browse(cr, uid, record_id)[0]
vals={}
vals = {
'date': date,
'created_deals': record.created_deals+self.count_deal_new(cr, uid, date, user_id, context=context),
'invoice_deals': record.invoice_deals+self.count_deal_invoice(cr, uid, date, user_id, context=context),
'added_leads': record.added_leads+self.count_lead_new(cr, uid, date, user_id, context=context),
'closed_tasks': record.closed_tasks+self.count_task_closed(cr, uid, date, user_id, context=context),
'created_offers': record.created_offers+self.count_offers_new(cr, uid, date, user_id, context=context),
'created_contracts': record.created_contracts+self.count_contracts_new(cr, uid, date, user_id, context=context),
}
super(jp_report_sales, self).write(cr, uid, record_id, vals, context=context)
else:
self.create_report(cr, uid, date, user_id, context=context)
return
def get_due_string(date: date) -> Tuple[str, int]:
# Users with this role shall be punished by
if g.user.Role == -1:
return str(date), 0
now = datetime.now().date()
weeks_between = date.isocalendar()[1] - now.isocalendar()[1]
if weeks_between == 0: # Dates are not more than 1 week apart.
days_between = (date - now).days
urgent_level = get_urgent_level(days_between)
if -2 <= days_between <= 2:
if days_between == -2:
return "Vorgestern", urgent_level
elif days_between == -1:
return "Gestern", urgent_level
elif days_between == 0:
return "Heute", urgent_level
elif days_between == 1:
return "Morgen", urgent_level
elif days_between == 2:
return "Ãœbermorgen", urgent_level
return "", urgent_level
elif weeks_between <= 1: # Dates are more than one week apart.
days_between = (date - now).days
day_string = ""
if weeks_between == 1:
day_string = "Nächste Woche "
if date.weekday() == 0:
day_string += "Montag"
elif date.weekday() == 1:
day_string += "Dienstag"
elif date.weekday() == 2:
day_string += "Mittwoch"
elif date.weekday() == 3:
day_string += "Donnerstag"
elif date.weekday() == 4:
day_string += "Freitag"
elif date.weekday() == 5:
day_string += "Sammstag 😯"
elif date.weekday() == 6:
day_string += "Sonntag 😯"
return day_string, get_urgent_level(days_between)
else:
return str(date), 0
def consecutiveWeeks(dates):
dates = sorted(
[datetime.strptime(date, "%Y-%m-%d").date() for date in dates])
consecutive = 0
if len(dates) > 0:
week_numbers = [date.isocalendar()[1] for date in dates]
week_numbers = list(np.unique(week_numbers))
# uses index to decrement delta
sequence = [e - i for i, e in enumerate(week_numbers)]
# counts each value in list
counter = Counter(sequence)
# gets max key
max_key = max(counter.items(), key=operator.itemgetter(1))[0]
# gets max key value
consecutive = counter[max_key]
return consecutive
def update_report(self, cr, uid, date, user_id, context = None):
record_id = self.search(cr, uid, [('name','=',str(user_id)+'-'+str(date.isocalendar()[1]).zfill(2))])
if record_id != []:
record = self.browse(cr, uid, record_id)[0]
vals = {}
vals = {
'date': date,
'open_deals': record.open_deals+self.count_deal_open(cr, uid, date, user_id, context=context),
'open_handover_deals': self.count_deal_open_hendover(cr, uid, date, user_id, context=context),
#'meeting_deals': record.meeting_deals+self.count_meeting_deal(cr, uid, date, user_id, context=context),
'won_deals': record.won_deals+self.count_deal_won(cr, uid, date, user_id, context=context),
#'transfer_candidates': record.transfer_candidates+self.count_transfer_candidates(cr, uid, date, user_id, context=context),
'lost_deals': record.lost_deals+self.count_deal_lost(cr, uid, date, user_id, context=context),
'cease_deals': record.cease_deals+self.count_deal_cease(cr, uid, date, user_id, context=context),
'closed_tasks': record.closed_tasks+self.count_task_closed(cr, uid, date, user_id, context=context),
}
super(jp_report_recruitment, self).write(cr, uid, record_id, vals, context=context)
else:
self.create_report(cr, uid, date, user_id, context=context)
return
def week_range(date):
"""Find the first/last day of the week for the given day.
Assuming weeks start on Sunday and end on Saturday.
"""
# isocalendar calculates the year, week of the year, and day of the week.
# dow is Mon = 1, Sat = 6, Sun = 7
year, week, dow = date.isocalendar()
# Find the first day of the week. 7 cuz sunday
if dow == 7:
start_date = date
else:
# Otherwise, subtract `dow` number days to get the first day
start_date = date - timedelta(dow)
# Now, add 6 for the last day of the week (i.e., count up to Saturday)
end_date = start_date + timedelta(6)
return str(start_date) + ',' + str(end_date)
def estimate_disaggregate(filename, short, year):
name = short + str(year)
# Get the traffic per day for each counter by year
traffic = traffic_counts(filename, year)
# Get the long term counters
longterms = [location for location in traffic.keys() if not location.startswith(short)]
# The short term counter
shortterm = traffic[name]
# Bin the short term counts by week
short_weeks = {}
for date, count in shortterm.iteritems():
if date == 'AADT':
continue
week = date.isocalendar()[1]
try:
short_weeks[week][date] = count
except KeyError:
short_weeks[week] = {date: count}
# Sample by week - get the estimated AADT for each day of the week
# and then take average (sdb * (aadt / db) = estimate)
estimates = {}
for week, days in short_weeks.iteritems():
# Find estimates for each day of the week for each long-term counter
daily_estimates = defaultdict(int)
for day, count in days.iteritems():
# Use each counter as a sample long-term counter
for longterm in longterms:
db = traffic[longterm][day]
aadt = traffic[longterm]['AADT']
factor = aadt / float(db)
estimate = count * factor
daily_estimates[longterm] += estimate
# Now find averages
for longterm, daily_total in daily_estimates.iteritems():
average_estimate = daily_total / float(len(days))
daily_estimates[longterm] = average_estimate
# Now save
estimates[week] = daily_estimates
# Get the actual aadt for this counter
actual = traffic[name]['AADT']
return estimates, actual
def update_cache(user_id, date):
date_tuple = date.isocalendar()
year = date_tuple[0]
week = date_tuple[1]
delta = timedelta(days = date.weekday())
begin_day = date.date() - delta;
i = 0
time = 0
while i < 7:
end_day = begin_day + timedelta(days = 1)
checkins = Checkin.query.filter_by(user_id = user_id).filter(Checkin.time.between(begin_day, end_day)).order_by(Checkin.time)
time += Checkin.get_work_time_for_checkins(checkins)
begin_day = end_day
i += 1
cache = TimeCache.query.filter_by(user_id = user_id, year = year, week = week).first()
if not cache:
cache = TimeCache(user_id = user_id, week = week, year = year, time = time)
else:
cache.time = time;
db.session.add(cache)
return time
def _get_menu(self, location: str, date: date):
pdf_menu_url = self.base_url.substitute(
location=StudentenwerkPDFMenuParser.
location_to_url_table[location],
date=str(date.year)[2:] + str(date.isocalendar()[1]))
resp = requests.get(pdf_menu_url)
if not resp.ok:
warn(
f'Could not retrieve PDF menu from {pdf_menu_url}: [HTTP {resp.status_code}] {str(resp.content)}'
)
with tempfile.NamedTemporaryFile(suffix='.pdf') as tmp_pdf_file:
tmp_pdf_file.write(resp.content)
tmp_pdf_file.seek(0)
tables = camelot.read_pdf(tmp_pdf_file.name)
if len(tables) > 0:
return tables[0].df
warn(
f'Could not parse PDF menu from {pdf_menu_url}: Table detection failed'
)
return None
def test_passage_export_filters(self, payload_version: PayloadVersion):
date = datetime.fromisocalendar(2019, 11, 1)
# create data for 3 cameras
baker.make(
'passage.PassageHourAggregation',
camera_id=cycle(range(1, 4)),
camera_naam=cycle(f'Camera: {i}' for i in range(1, 4)),
date=date,
year=date.year,
week=date.isocalendar()[1],
hour=1,
_quantity=100,
)
api_version = to_api_version(payload_version)
url = reverse(f'{api_version}:passage-export')
response = self.client.get(url,
dict(year=2019, week=12),
HTTP_AUTHORIZATION='Token foo')
assert response.status_code == 200
lines = [x for x in response.streaming_content]
assert len(lines) == 0
response = self.client.get(url,
dict(year=2019, week=11),
HTTP_AUTHORIZATION='Token foo')
assert response.status_code == 200
lines = [x for x in response.streaming_content]
# Expect the header and 3 lines
assert len(lines) == 4
response = self.client.get(url,
dict(year=2019),
HTTP_AUTHORIZATION='Token foo')
assert response.status_code == 200
lines = [x for x in response.streaming_content]
# Expect the header and 3 lines
assert len(lines) == 4
def calendar_json(request, year, month):
year = int(year)
month = int(month)
date = datetime.strptime("%s-%s-%s" % (year, month, 1), "%Y-%m-%d")
NOW = datetime.now()
CURRENT_WEEK = date.isocalendar()[1]
cal_month = calendar.monthcalendar(year, month)
temp_cal = []
#Build
for week in cal_month:
hours_count = 0
for day in week:
if int(day) > 0:
day_date = datetime.strptime(
"%s-%s-%s" % (year, month, int(day)), "%Y-%m-%d")
for reg in HourRegistration.objects.filter(
date=day_date, creator=Core.current_user()):
hours_count += float(reg.hours)
if NOW == date:
temp_cal.append((CURRENT_WEEK, day, "day today", hours_count))
elif (day > 0):
temp_cal.append((CURRENT_WEEK, day, "day", hours_count))
else:
temp_cal.append((CURRENT_WEEK, day, "", hours_count))
hours_count = 0
if CURRENT_WEEK == 52:
CURRENT_WEEK = 0
CURRENT_WEEK += 1
return HttpResponse(JSONEncoder().encode(temp_cal),
mimetype='application/json')
def fake_snippet(self):
"""Creates a fake snippet for a random user from the given set."""
user_email = random.choice(self.user_emails)
user = self.users[user_email]
dates = self.user_snippet_dates[user_email]
date = None
while True:
date = iso_week_begin(self.faker.datetime.date())
if date not in dates:
break
dates.add(date)
(year, week, _) = date.isocalendar()
tag_count = random.randint(0, min(3, len(self.words)))
tag_texts = random.sample(self.words, tag_count)
tags = [self.tags[text] for text in tag_texts]
snippet = Snippet(
user=user,
text=self.faker.text.text(),
year=year,
week=week,
tags=tags,
)
self.snippets.append(snippet)
def calendar_json(request, year, month):
year = int(year)
month = int(month)
date = datetime.strptime("%s-%s-%s" % (year, month, 1), "%Y-%m-%d")
NOW = datetime.now()
CURRENT_WEEK = date.isocalendar()[1]
cal_month = calendar.monthcalendar(year, month)
temp_cal = []
#Build
for week in cal_month:
hours_count = 0
for day in week:
if int(day) > 0:
day_date = datetime.strptime("%s-%s-%s" % (year, month, int(day)), "%Y-%m-%d")
for reg in HourRegistration.objects.filter(date=day_date, creator=Core.current_user()):
hours_count += float(reg.hours)
if NOW == date:
temp_cal.append((CURRENT_WEEK, day, "day today", hours_count))
elif(day > 0):
temp_cal.append((CURRENT_WEEK, day, "day", hours_count))
else:
temp_cal.append((CURRENT_WEEK, day, "", hours_count))
hours_count = 0
if CURRENT_WEEK == 52:
CURRENT_WEEK = 0
CURRENT_WEEK += 1
return HttpResponse(JSONEncoder().encode(temp_cal), mimetype='application/json')
def week(self, date):
try:
date = datetime.strptime(date, "%d.%m.%Y")
year = date.year
week = date.isocalendar()[1]
except ValueError:
return []
activities = self.__repository._getAll()
matching = filterBy(
activities, lambda activity: year == datetime.strptime(
activity.date, "%d.%m.%Y").year and week == datetime.strptime(
activity.date, "%d.%m.%Y").isocalendar()[1])
shellSort(
matching, lambda activity1, activity2:
(datetime.strptime(activity1.date, "%d.%m.%Y") < datetime.strptime(
activity2.date, "%d.%m.%Y")) or
(activity1.date == activity2.date and datetime.strptime(
activity1.time, '%H:%M') <= datetime.strptime(
activity2.time, '%H:%M')))
return matching
def _week_end_day(_date):
weekday = date.isocalendar(_date)
end_date = _date + timedelta(7-weekday[2])
d = datetime(int(end_date.year),int(end_date.month),int(end_date.day),23,59,59,999)
return d
def withdate(cls, date):
"""Return the week that contains the given datetime.date"""
return cls(*(date.isocalendar()[:2]))
def key_func(x):
d = date.isocalendar(x[0])
return d[0], d[1]
def _week_start_day(_date):
weekday = date.isocalendar(_date)
start_date = _date - timedelta(weekday[2]-1)
d = datetime(int(start_date.year),int(start_date.month),int(start_date.day),0,0,0,0)
return d
def week_number(date):
return date.isocalendar()[1]
def get_year_and_week_number(date):
return date.isocalendar()[:2]
def counter(filename):
lines = open(filename).read().splitlines()
metadata = lines[0].split(',')
locations = {}
# metric counts will be stored here for each location
data = {}
for year in years:
for index, value in enumerate(metadata[3:]):
if is_location(value):
name = value + str(year)
locations[index] = value
data[name] = {
'weekend_traffic': 0,
'weekday_traffic': 0,
'num_weekdays': 0,
'num_weekends': 0,
'morning_traffic': 0,
'midday_traffic': 0,
'by_week': defaultdict(int) # will collect counts for each week
}
# go through each datapoint
for line in lines[1:]:
info = line.split(',')
# skip any blank lines
if info[0] == '':
continue
# day/month/year format
date = datetime.strptime(info[0], '%d/%m/%Y')
# only count in-season information
if not is_in_season(date):
continue
holiday = int(info[1])
time = info[2]
week = date.isocalendar()[1]
hour = int(time.split(':')[0])
for i, aadt in enumerate(info[3:]):
# skip over in/out counts
if i not in locations:
continue
# skip over blank entries for aadt
if aadt == '':
continue
aadt = int(aadt)
name = locations[i] + str(date.year)
# days start at 0:00, i.e., midnight
if time == '0:00' or time == '00:00':
if is_weekday(date, holiday):
data[name]['num_weekdays'] += 1
else:
data[name]['num_weekends'] += 1
# aggregate aadt counts
if is_weekday(date, holiday):
data[name]['weekday_traffic'] += aadt
else:
data[name]['weekend_traffic'] += aadt
# new week starts at weekday #0
data[name]['by_week'][week] += aadt
# increment morning/midday data if possible
if is_morning(hour):
data[name]['morning_traffic'] += aadt
elif is_midday(hour):
data[name]['midday_traffic'] += aadt
# all data has been aggregated! now calculate indexes
no_data = []
for location, counts in data.iteritems():
num_days = float(counts['num_weekends'] + counts['num_weekdays'])
if num_days == 0:
print location, 'has no AADT'
no_data.append(location)
continue
# WWI (ratio of average daily weekend traffic to average daily weekday traffic)
avg_daily_weekend_traffic = counts['weekend_traffic'] / float(counts['num_weekends'])
avg_daily_weekday_traffic = counts['weekday_traffic'] / float(counts['num_weekdays'])
data[location]['WWI'] = avg_daily_weekend_traffic / avg_daily_weekday_traffic
# AMI 1 (ratio of average morning to midday traffic)
avg_morning_traffic = counts['morning_traffic'] / num_days
avg_midday_traffic = counts['midday_traffic'] / num_days
data[location]['AMI'] = avg_morning_traffic / avg_midday_traffic
# PPI (avg of top 12 weeks / avg of following 20)
week_vals = list(data[location]['by_week'].iteritems())
week_vals.sort(key=lambda t: t[1], reverse=True)
# print '====================', location, '================================'
# for month_bin, count in week_vals:
# print month_bin, '\t', count
top_average = sum((t[1] for t in week_vals[:PPI_top])) / float(PPI_top)
bottom_average = sum((t[1] for t in week_vals[PPI_top:PPI_bottom])) / float(PPI_bottom - PPI_top + 1)
data[location]['PPI'] = top_average / bottom_average
# print 'num weeks:', len(week_vals)
# print 'sum of aadt for this year:', sum((t[1] for t in week_vals))
# print 'average weekly aadt:', sum((t[1] for t in week_vals)) / float(len(week_vals))
# print 'average weekly for top 12 months:', top_average
# print 'average weekly for next 20 months:', bottom_average
# print 'PPI:', data[location]['PPI']
# print '=================================================================='
# remove locations with no data
for nd in no_data:
del data[nd]
return data
def weekly_view(request, year=None, week=None):
"""
Current timesheet pulls the current week from the database.
if one doesn't exists, it creates in-mem object.
If Post, saves it to the database
"""
#TODO: have submit thru JSON
year = year or date.today().year
week = week or date.isocalendar()[1]
if request.method == 'GET':
user_projects = request.user.get_profile().projects
start_week, end_week = determine_period(monday_of_week(int(week), int(year)))
extra_form = 1
week_snapshot, timesheets = WeekSnapshot.objects.in_period(year, week, request.user)
if not week_snapshot:
week_snapshot = WeekSnapshot(user=request.user, year=year, week=week, start_week=start_week, end_week=end_week)
else:
extra_form = 0
week_snapshot_form = WeekSnapshotForm(prefix="week_snapshot", instance=week_snapshot)
TimesheetFormSet = modelformset_factory(Timesheet, can_delete=True, extra=extra_form, form=TimesheetForm)
timesheet_form_set = TimesheetFormSet(queryset=timesheets)
return 'timesheet', {'projects': user_projects, 'year': int(year), 'week': int(week), 'timesheet_form_set': timesheet_form_set, \
'week_snapshot': week_snapshot, 'week_snapshot_form': week_snapshot_form}
else:
is_draft = request.POST['is_draft'] == 'true'
status = ApproverQueue.draft_status if is_draft else ApproverQueue.in_queue_status()
week_snapshot = WeekSnapshot.objects.get_or_none(year=year, week=week, user=request.user)
week_snapshot_form = WeekSnapshotForm(request.POST, prefix="week_snapshot", instance=week_snapshot)
if week_snapshot_form.is_valid():
week_snapshot = week_snapshot_form.save(request.user)
TimesheetFormSet = modelformset_factory(Timesheet, can_delete=True)
timesheet_form_set = TimesheetFormSet(request.POST)
#Pull rulesets for weeksnapshot
rulesets = RuleSet.objects.for_invoker_model(WeekSnapshot)
timesheet_rulesets = rulesets.filter(content_type=ContentType.objects.get_for_model(Timesheet))
week_rulesets = rulesets.filter(content_type=ContentType.objects.get_for_model(WeekSnapshot))
#TODO: serve the errors through JSON errors
if timesheet_form_set.is_valid():
timsheets = timesheet_form_set.save()
week_snapshot.timesheets.clear()
#TODO: should batch all of the errors into one and send them back
for timesheet in timsheets:
if timesheet_rulesets:
validated_instance = GenericAspect.validate(timesheet_rulesets, timesheet)
if validated_instance.has_errors:
raise TypeError('ruleset errors encountered')
week_snapshot.timesheets.add(timesheet)
week_snapshot.save()
else:
raise TypeError('validation errors encountered')
#check if we have validators
if week_rulesets:
validated_instance = GenericAspect.validate(week_rulesets, week_snapshot)
if validated_instance.has_errors:
raise TypeError('ruleset errors encountered')
#add new status to the weeksnapshot
post_status_update(week_snapshot, status)
#send signal since everything is done correctly
workflow.signals.post_attach_queue_save_event.send(sender=WeekSnapshot, instance=week_snapshot, is_draft=is_draft)
return 'home-r', {}
conn_db = psycopg2.connect(**config_db)
conn_db.set_isolation_level(psycopg2.extensions.ISOLATION_LEVEL_AUTOCOMMIT)
except:
logit("Not able to connect:: {0!s} !!".format(config_db),sys.argv[1])
# print "["+str(datetime.now())+"] : ["+sys.argv[1]+"] Not able to connect:: %s !!".format(config_db)
sys.exit(1)
### Open db cursor
cur_db = conn_db.cursor(cursor_factory=psycopg2.extras.DictCursor)
for week in xrange(-weeks_to_deactivate,-1):
relative_first_day_of_week=date.isoformat(datetime.datetime.today()+datetime.timedelta(weeks=week)-datetime.timedelta(days=date.weekday(datetime.datetime.today()+datetime.timedelta(weeks=week))))
relative_next_first_day_of_week=date.isoformat(datetime.datetime.today()+datetime.timedelta(weeks=week)-datetime.timedelta(days=date.weekday(datetime.datetime.today()+datetime.timedelta(weeks=week))) + datetime.timedelta(days=+7))
relative_week='{0:02d}'.format(date.isocalendar(datetime.datetime.today()+datetime.timedelta(weeks=week))[1])
relative_year=date.isocalendar(datetime.datetime.today()+datetime.timedelta(weeks=week))[0]
rulename='route_rule_bsms_in_p{0!s}w{1!s}'.format(relative_year,relative_week)
if vc_debug : logit("Checking is the rule {1!s} for {0!s} week is ebabled..".format(week,rulename),sys.argv[1])
sql_check_rule_to_deactivate=cur_db.mogrify(query_rule,{'week' : week,'enabled' : "D",'tablename': table_name_base,'rulename':rulename})
if vc_sql_debug : logit("SQL: {0!s}".format(sql_check_rule_to_deactivate),sys.argv[1])
cur_db=sql_execute(cur_db,sql_check_rule_to_deactivate,vc_sql_debug)
rec_deactiavate = cur_db.fetchone()
if int(cur_db.rowcount) > 0:
# tva e O
if rec_deactiavate['active'] == 'O':
logit("We have active rule {0!s} to deactivate".format(rec_deactiavate['rulename']),sys.argv[1])
#print "["+str(datetime.datetime.now())+"] : ["+sys.argv[1]+"] We have active rule {0!s} to deactivate".format(rec_deactiavate['rulename'])
sql_to_deactivete="alter table {0!s} disable rule {1!s};".format(table_name_base,rec_deactiavate['rulename'])
cur_db=sql_execute(cur_db,sql_to_deactivete,vc_sql_debug)
def weekId(date, prefix=""):
iso = date.isocalendar()
return "%sweek-%d-%d" % (prefix, iso[0], iso[1])
def get_week(file):
date = __get_date(file)
try:
return str(date.isocalendar()[1]).split()[0]
except:
return str(date.iso_week[1]).split()[0]
def build_backup_status(bck_path, bck_file):
""" This is the main function of this script. Build the backup status and save it to the status yaml file.
function build_backup_status(bck_path, bck_file)
:param bck_path: The Maestro backup PATH, where backups are stored.
:param bck_file: Yaml file which will store backup status information.
:returns: Nothing
:raises: Nothing
"""
oLogging=logging.getLogger('backup-status')
oLoggingOut=logging.getLogger('backup-status-output')
run_datetime = date.today()
run_date = date.isoformat(run_datetime)
run_year,run_week,_ = date.isocalendar(run_datetime)
bck_path=os.path.normpath(bck_path)
ybck_status={'status': {
'week' : '{0}-{1}'.format(run_year, run_week),
'date' : run_date,
'filesystems': {},
'status' : 0
},
'backup': {},
'services': {}}
check_FS_stats(bck_path, ybck_status)
if not os.path.isdir(bck_path):
oLogging.error('"%s" was not a valid directory. aborted.', bck_path)
sys.exit(2)
oLogging.info('Using "%s" as {root_backup}', bck_path)
reIgnored=re.compile('ignored', re.I)
reSupportedName=re.compile('^\w+\.[\w.]+$', re.I)
# Loop in subdirectories to build services backup status
for root,dirnames,files in os.walk(bck_path):
oLogging.debug("Walking in '%s'", root)
rel_path=re.sub(bck_path+'/*','', root).split('/')
bIgnored=False
if rel_path[0] <> "" and reIgnored.search(rel_path[0]) <> None:
# Ignore the root path, if 'ignored' is found in the root dir name.
bIgnored=True
oLogging.debug("'%s' contains 'ignored'. Ignored from analyze.", rel_path[0])
for i in sorted(dirnames):
dirnames.remove(i)
elif rel_path[0] <> "" and reSupportedName.search(rel_path[0]) == None:
# Ignore the root path, if the server part name does not contain at least 1 '.'
# The server name (root dir of the path) should be built at least with *.*, like '<ServerName>.<Domain>'
bIgnored=True
oLogging.debug("'%s' is not like '<ServerName>.<Domain>'. Ignored from analyze.", rel_path[0])
for i in sorted(dirnames):
dirnames.remove(i)
if not bIgnored and len(rel_path) == 3: # server/service/week level
if 'bup_repo' not in dirnames or 'logs' not in dirnames:
oLogging.warning('%s is not a valid backup directory. Ignored.', root)
bIgnored=True
# Cleaning all additional subdirectories to stop the walk recursive task.
for i in sorted(dirnames):
if bIgnored or i <> 'logs': # keep logs in walk process to build week history. (Next elif case)
dirnames.remove(i)
# Adding data
Server=rel_path[0]
Service=rel_path[1]
Week=rel_path[2]
if not bIgnored:
# Check if the mount point is different, to rebuild FS statistics.
mount_point=check_FS_stats(root, ybck_status)
if not ybck_status['backup'].has_key(Server):
ybck_status['backup'][Server]={}
if not ybck_status['backup'][Server].has_key(Service):
ybck_status['backup'][Server]={Service:{
'status': 0,
'message': 'No error/warning reported.',
'last': None,
'history': {}
}
}
ybck_status['backup'][Server][Service]['used']=path_size(root)
ybck_status['backup'][Server][Service]['mount-point']=mount_point
ybck_status['backup'][Server][Service]['path']=os.path.join(bck_path, Server, Service)
if not ybck_status['services'].has_key(Service):
ybck_status['services'][Service]=[Server]
else:
if Server not in ybck_status['services'][Service]:
ybck_status['services'][Service].append(Server)
elif not bIgnored and len(rel_path) == 4: # server/service/week/logs level - Build history and provide last status.
Server=rel_path[0]
Service=rel_path[1]
Week=rel_path[2]
yService=ybck_status['backup'][Server][Service]
oLogging.debug('Week: %s - Looping on logs:', Week)
for log_file in sorted(files):
get_backupfile_status(yService, log_file, root, Week)
if not yService.has_key('last') or yService['last'] == None:
yService['status']=2
yService['message']='"{0}/*" week(s) has no valid log to verify.'.format(os.path.join(bck_path, Server, Service))
else:
# Check status from latest backup date, compare to now.
# If missing last backup = Warning
# If missing 2 or more last backup = error
# Possible fixes:
# - Restore backup function - Fix backup run error.
# - Move old service backup to /mnt/backup/disabled.
# Get number of days of missing backup
iDaysOld=(run_datetime-datetime.strptime(yService['last'],'%Y-%m-%d').date()).days
if iDaysOld == 1:
UpdateStatus(ybck_status['status'], 1,
"Warning! {0}: Missing previous day backup. Please review service status.".format(Service))
elif iDaysOld >1:
UpdateStatus(ybck_status['status'], 2,
"Error! {0}: Several backup days missing. Please review service status. If this service is obsolete, move '{0}' to '{1}'".format(Service, os.path.join(bck_path,'ignored')))
# Report to the top status if errors/warnings are found in a service backup.
if yService['status'] == 1:
UpdateStatus(ybck_status['status'], 1,("Warning! {0}: "+yService['message']).format(Service))
if yService['status'] > 1:
UpdateStatus(ybck_status['status'], 2,("Error! {0}: "+yService['message']).format(Service))
if not ybck_status['status'].has_key('message'):
ybck_status['status']['message']='No error/warning reported.'
if bck_file == '-':
print yaml.dump(ybck_status)
else:
try:
stream=open(os.path.join(bck_path, bck_file),'w')
except IOError as oErr:
oLogging.error('Unable to write in \'%s\'.%s. Fix and retry.', oErr.strerror, os.path.join(bck_path, bck_file))
else:
yaml.dump(ybck_status, stream)
stream.close()
oLogging.info('\'%s\' written.', os.path.join(bck_path, bck_file))
trinidad = magellan.magellan()
cursor = trinidad.initdb()
if args.week:
print "Retreiving analyzed weekly data for the past 10 weeks...\n"
# get the previous iso week (to use as the end of the plot)
today = date.today()
week = (today.isocalendar())[1] - 1
year = (today.isocalendar())[0]
# here, retreive all the data from the past 10 weeks
if week <= 10:
# get the number of weeks last year
lyweeks = date.isocalendar(date(year - 1, 12, 31))[1]
command = (
"SELECT year,week,homefrac,awayfrac,travelfrac from \
analysis_weekly where (YEAR=%i) OR (YEAR=%i AND WEEK > %i) \
ORDER BY year,week"
% (year, year - 1, lyweeks - 10 + week)
)
else:
# it's far enough into the year we can just grab the last 10
command = (
"SELECT year,week,homefrac,awayfrac,travelfrac from \
analysis_weekly where WEEK > %i AND YEAR=%i ORDER BY week"
% (week - 10, year)
)
filen = "latest.png"
elif args.year:
