def set_lib_number(self, alias, new):
Lib = db.get(alias=alias)[0]
Lib.set_number(new)
librarian_id = Lib.get_id()
lib_id = str(librarian_id)
priv_str = str(new)
date = get_date()
db.insert_log(date + " | " + "Admin set to Librarian(" + lib_id +
") number: " + priv_str)
def remove_document(self, title):
if self.get_priv() == 3:
db.delete(title)
id_str = str(self.get_id())
date = get_date()
title_str = str(title)
db.insert_log(date + " | Librarian(" + id_str +
") removed Document with title: " + title_str)
else:
return
def set_outstanding(self, title):
if self.get_priv() >= 2:
book = db.get(title=title)[0]
book.set_outstanding()
id_str = str(self.get_id())
date = get_date()
title_str = str(title)
db.insert_log(date + " | Librarian(" + id_str +
") marked Document " + title_str + " as outstanding")
else:
return
def new_vp(self, id, alias, name, mail, number, address):
if self.get_priv() >= 2:
new = VP(id, alias, name, mail, number, address)
db.insert(new.summary())
id_str = str(self.get_id())
date = get_date()
title_str = str(id)
db.insert_log(date + " | Librarian(" + id_str +
") added Visiting Prof. with ID: " + title_str)
else:
return
def remove(self, id):
if self.get_priv() == 3:
db.delete(id=id)
id_str = str(self.get_id())
date = get_date()
us_id_str = str(id)
db.insert_log(date + " | Librarian(" + id_str +
") removed user with id: " + us_id_str)
else:
return
def new_AV_material(self, title, author, value, url, copies):
if self.get_priv() >= 2:
new = dc.AV_Materials(title, author, value, url, copies=copies)
print("avmaterial " + str(new.summary()))
db.insert(new.summary())
id_str = str(self.get_id())
date = get_date()
title_str = str(title)
db.insert_log(date + " | Librarian(" + id_str + ") added AV: " +
title_str)
else:
return
def add_copy_for_doc(self, original: dc.Document, copy_count):
if self.get_priv() == 3:
original.add_copy(copy_count)
db.update(title=original.get_title(),
copies=original.get_count_of_copies())
id_str = str(self.get_id())
date = get_date()
title_str = str(original.get_title())
db.insert_log(date + " | Librarian(" + id_str +
") added copy for book: " + title_str)
else:
return
def bundle_installer_dashboard(name, year):
if not session.get('logged_in'):
flash('Please login.')
return redirect(url_for('welcome'))
table_name = name+'_'+year+'_bundle_installer_dashboard'
key_name = 'bundle_path'
model = Model(table_name)
column_list = ['bundle_path', 'lv_version', 'lv_api_version', 'toolkit_path',
'safemode', 'actual_size', 'dedupe_size', 'comment']
records = model.select(column_list)
records = sorted(records,
key=lambda record: record['bundle_path'],
reverse=True)
for record in records:
record['bundle_date'] = get_date(record['bundle_path'])
record['bundle_path'] = add_path_prefix(record['bundle_path'],
main_config.PATH_PREFIX).rstrip('\\')
record['toolkit_date'] = get_date(record['toolkit_path'])
record['toolkit_path'] = add_path_prefix(record['toolkit_path'],
main_config.PATH_PREFIX).rstrip('\\')
return render_template('bundle_installer_dashboard.html', records=records,
name=name, year=year, table_name = table_name, key_name = key_name)
def new_article(self, title, author, journal, publication_date, editor,
url, copies):
if self.get_priv() >= 2:
new = dc.Article(title,
author,
journal,
publication_date,
editor,
url,
copies=copies)
db.insert(new.summary())
id_str = str(self.get_id())
date = get_date()
title_str = str(title)
db.insert_log(date + " | Librarian(" + id_str +
") added article: " + title_str)
else:
return
def remove(self, librarian_id):
db.delete(id=librarian_id)
id_str = str(librarian_id)
date = get_date()
db.insert_log(date + " | Admin deleted Librarian with ID: " + id_str)
def estimate_future_price(ticker, seedVelocity, numIterations,
startDayMonthYear, endDayMonthYear):
velocitySpeed = .3
day, month, year = startDayMonthYear
startTime = datetime(day=day, month=month, year=year, hour=9, minute=30)
startUTC = timeToUTCMills(startTime)
day, month, year = endDayMonthYear
endTime = datetime(day=day, month=month, year=year, hour=16)
td = endTime - startTime
numDays = td.days
hours = float(numDays * 6.5)
filepath = 'Stocks/' + ticker + '/learnedPatterns2.txt'
fileObject = open(filepath, 'r')
learnedPatterns = compile_these_patterns(ticker, fileObject)
timeInterval = 60 * hours / numIterations
avgVol = float(get_quote(ticker)['avgTotalVolume'])
numIterationsPerDay = numIterations / numDays
iterationVolume = float(avgVol / numIterationsPerDay)
for i in range(numIterations):
if i == 0:
initialSnapshot, quotes = get_snapshot(ticker)
initialSnapshot['velocity'] = seedVelocity
snapshots = [initialSnapshot]
initialSnapshot['time'] = startUTC
elif i == 1:
secondSnapshot = {}
for key in initialSnapshot.keys():
secondSnapshot[key] = initialSnapshot[key]
secondSnapshot['time'] = int(secondSnapshot['time'])
secondSnapshot['price'] = float(secondSnapshot['price'])
secondSnapshot['volume'] = int(secondSnapshot['volume'])
secondSnapshot['time'] += (timeInterval * 60000)
secondSnapshot['price'] = secondSnapshot['price'] * (
1 + (secondSnapshot['velocity'] * timeInterval))
secondSnapshot['volume'] += iterationVolume
snapshots.append(secondSnapshot)
elif i == 2:
thirdSnapshot = {}
for key in secondSnapshot.keys():
thirdSnapshot[key] = secondSnapshot[key]
thirdSnapshot['time'] = int(thirdSnapshot['time'])
thirdSnapshot['price'] = float(thirdSnapshot['price'])
thirdSnapshot['volume'] = int(thirdSnapshot['volume'])
thirdSnapshot['time'] += (timeInterval * 60000)
thirdSnapshot['price'] = thirdSnapshot['price'] * (
1 + (thirdSnapshot['velocity'] * timeInterval))
thirdSnapshot['volume'] += iterationVolume
snapshots.append(thirdSnapshot)
else:
intervals = compile_intervals_from_snapshots(snapshots)
states = compile_states_from_intervals(intervals)
state = states[-1]
estimatedVelocity, usedPatterns = estimate_velocity(
state, learnedPatterns)
lastSnapshot = snapshots[i - 1]
lastVelocity = lastSnapshot['velocity']
lastVolume = lastSnapshot['volume']
lastPrice = lastSnapshot['price']
lastTime = lastSnapshot['time']
newVelocity = lastVelocity * (1 - velocitySpeed) + (
velocitySpeed) * estimatedVelocity
newPrice = lastSnapshot['price'] * (1 + newVelocity * timeInterval)
randomVolume = -1
while randomVolume < 0:
randomVolume = np.random.normal(iterationVolume,
iterationVolume / 3, 1)
randomVolume = randomVolume[0]
newVolume = lastVolume + randomVolume
newTime = lastTime + (timeInterval * 60000)
newSnapshot = {
'price': newPrice,
'volume': newVolume,
'time': newTime,
'velocity': newVelocity
}
if get_date(newTime)[3] >= 16:
newSnapshot['time'] = newTime + int(17.5 * 60 * 60 * 1000)
snapshots.append(newSnapshot)
return snapshots[-1]['price']
