def get_jobs_plot(graph, start_day, end_day):
"""Return matplotlib plot of the number of jobs of different page-jobs"""
graph_config = graphs[graph]
with quota.get_connection() as cursor:
cursor.execute(graph_config['query'],
graph_config['quota'] + (start_day, end_day))
data = cursor.fetchall()
jobs_dict = {row['pages']: row['count'] for row in data}
jobs_count = [jobs_dict.get(i, 0) for i in range(1, graph_config['quota'][0] + 1)]
return freq_plot(jobs_count, graph_config['title'])
def _semester_histogram():
with get_connection() as c:
c.execute("SELECT `user`, `semester` FROM `printed` WHERE `semester` > 0")
users = [SEMESTERLY_QUOTA - int(r["semester"]) for r in c]
fig = Figure(figsize=(10, 5))
ax = fig.add_subplot(1, 1, 1)
ax.locator_params(nbins=20)
ax.hist(users, bins=list(range(0, 105, 5)))
ax.grid(True)
ax.set_xlim(SEMESTERLY_QUOTA, 0)
ax.set_ylabel("Number of users")
ax.set_xlabel("Remaining balance")
ax.set_title("Remaining balances this semester")
return fig
def get_jobs_plot(graph: str, start_day: datetime, end_day: datetime) -> HttpResponse:
"""Return matplotlib plot of the number of jobs of different page-jobs"""
graph_config = graphs[graph]
with quota.get_connection() as cursor:
# Fix mypy error unsupported left operand type for + (Sequence[Any])
q: Any = graph_config['quota']
cursor.execute(
graph_config['query'],
q + (start_day, end_day),
)
data = cursor.fetchall()
jobs_dict = {row['pages']: row['count'] for row in data}
jobs_count = [jobs_dict.get(i, 0) for i in range(1, graph_config['quota'][0] + 1)]
return freq_plot(jobs_count, graph_config['title'])
def _semester_histogram():
with get_connection() as c:
c.execute(
'SELECT `user`, `semester` FROM `printed` WHERE `semester` > 0', )
users = [SEMESTERLY_QUOTA - int(r['semester']) for r in c]
fig = Figure(figsize=(10, 5))
ax = fig.add_subplot(1, 1, 1)
ax.locator_params(nbins=20)
ax.hist(users, bins=list(range(0, 105, 5)))
ax.grid(True)
ax.set_xlim(SEMESTERLY_QUOTA, 0)
ax.set_ylabel('Number of users')
ax.set_xlabel('Remaining balance')
ax.set_title('Remaining balances this semester')
return fig
def get_jobs_plot(day: date) -> Figure:
"""Return matplotlib plot showing the number i-page-job to the day."""
day_of_week: int = pyday_to_sqlday(day.weekday())
day_quota: int = quota.daily_quota(
datetime.combine(day, datetime.min.time()))
sql_today_freq = '''
SELECT `pages`, SUM(`count`) AS `count`
FROM `public_jobs`
WHERE
(`pages` <= %s) AND
(DAYOFWEEK(`day`) = %s) AND
(`day` = %s )
GROUP BY `pages`
ORDER BY `pages` ASC
'''
# executing the sql query to get the data
with quota.get_connection() as cursor:
cursor.execute(sql_today_freq, (day_quota, day_of_week, day))
today_freq_data = cursor.fetchall()
# converting the data into a list
today_jobs_dict = {row['pages']: row['count'] for row in today_freq_data}
today_jobs_count = [
today_jobs_dict.get(i, 0) for i in range(1, day_quota + 1)
]
# Generating the plot
fig = Figure(figsize=(10, 4))
ax = fig.add_subplot(1, 1, 1)
tickLocations = np.arange(1, day_quota + 1)
width = 0.8
ax.bar(tickLocations, today_jobs_count, width)
ax.set_xticks(ticks=tickLocations)
ax.yaxis.set_major_locator(MaxNLocator(integer=True))
ax.yaxis.grid(True)
ax.set_ylim(bottom=0)
ax.set_ylabel('Number of Jobs Printed')
ax.set_title(f'Print Job Distribution {day:%a %b %d}')
return fig
def get_jobs_plot(day):
"""Return matplotlib plot showing the number i-page-job to the day."""
day_of_week = pyday_to_sqlday(day.weekday())
day_quota = quota.daily_quota(datetime.combine(day, datetime.min.time()))
sql_today_freq = '''
SELECT `pages`, SUM(`count`) AS `count`
FROM `public_jobs`
WHERE
(`pages` <= %s) AND
(DAYOFWEEK(`day`) = %s) AND
(`day` = %s )
GROUP BY `pages`
ORDER BY `pages` ASC
'''
# executing the sql query to get the data
with quota.get_connection() as cursor:
cursor.execute(sql_today_freq, (day_quota, day_of_week, day))
today_freq_data = cursor.fetchall()
# converting the data into a list
today_jobs_dict = {row['pages']: row['count'] for row in today_freq_data}
today_jobs_count = [today_jobs_dict.get(i, 0) for i in range(1, day_quota + 1)]
# Generating the plot
fig = Figure(figsize=(10, 4))
ax = fig.add_subplot(1, 1, 1)
tickLocations = np.arange(1, day_quota + 1)
width = 0.8
ax.bar(tickLocations, today_jobs_count, width)
ax.set_xticks(ticks=tickLocations)
ax.yaxis.set_major_locator(MaxNLocator(integer=True))
ax.yaxis.grid(True)
ax.set_ylim(ymin=0)
ax.set_ylabel('Number of Jobs Printed')
ax.set_title('Print Job Distribution {:%a %b %d}'.format(day))
return fig
#!/usr/bin/env python3
"""Print the quota of a user."""
from ocflib.printing.quota import get_connection
from ocflib.printing.quota import get_quota
if __name__ == '__main__':
with get_connection() as c:
print(get_quota(c, input('user: ')))
#!/usr/bin/env python3
"""Add a test job."""
import getpass
import random
import string
from datetime import datetime
from ocflib.printing.printers import PRINTERS
from ocflib.printing.quota import add_job
from ocflib.printing.quota import get_connection
from ocflib.printing.quota import Job
if __name__ == '__main__':
user = '******'
password = getpass.getpass('{} password: '******'user: '******'pages: ')),
queue=random.choice(('single', 'double')),
printer=random.choice(tuple(PRINTERS)),
doc_name=''.join(
random.choice(string.ascii_letters) for _ in range(30)),
filesize=random.randint(0, 2**28),
),
)
"""Add a test job."""
import getpass
import random
import string
from datetime import datetime
from ocflib.printing.printers import PRINTERS
from ocflib.printing.quota import add_job
from ocflib.printing.quota import get_connection
from ocflib.printing.quota import Job
if __name__ == '__main__':
user = '******'
password = getpass.getpass('{} password: '******'user: '******'pages: ')),
queue=random.choice(('single', 'double')),
printer=random.choice(tuple(PRINTERS)),
doc_name=''.join(
random.choice(string.ascii_letters) for _ in range(30)
),
filesize=random.randint(0, 2**28),
),
)
#!/usr/bin/env python3
"""Print the quota of a user."""
from ocflib.printing.quota import get_connection
from ocflib.printing.quota import get_quota
if __name__ == "__main__":
with get_connection() as c:
print(get_quota(c, input("user: ")))
