get_payments_data.py
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# -*- coding:utf-8 -*-
import codecs
import datetime
from django.contrib.auth.models import User
from django.core.management.base import BaseCommand
from django.db.models import Sum
from accounts.models import RealizedLemma, RealizedPhraseology, RealizedPhraseologyBinding, \
RealizedSemantics
from dictionary.ajax_user_stats import get_used_bindings
from dictionary.models import Lemma
USERNAME = 'JakubS'
FUNCTION = 'Leksykograf'
POS = 'noun'
STARTDATE = datetime.datetime(2011, 1, 1, 00, 00)
ENDDATE = (datetime.datetime.now() -
datetime.timedelta(days=1)).replace(hour=23, minute=59, second=59)
class Command(BaseCommand):
args = 'none'
def handle(self, **options):
get_payments_data(FUNCTION)
def get_payments_data(function):
start = STARTDATE.strftime('%Y%m%d')
end = ENDDATE.strftime('%Y%m%d')
payments_path = 'data/work_%s_%s_%s-%s.csv' % (USERNAME, FUNCTION, start, end)
payments_file = codecs.open(payments_path, 'wt', 'utf-8')
user = User.objects.get(username=USERNAME)
if function == 'Semantyk':
work_stats = write_semantic_stats(payments_file, user, POS)
elif function == 'Superfrazeolog':
work_stats = write_superphraseologic_stats(payments_file, user, POS)
elif function == 'Frazeolog':
work_stats = write_phraseologic_stats(payments_file, user, POS)
elif function == 'Leksykograf':
work_stats = write_lexicographic_stats(payments_file, user, POS)
elif function == 'Superleksykograf':
work_stats = write_superlexicographic_stats(payments_file, user, POS)
total_earned_cash = work_stats['earned_cash']
if total_earned_cash > 0.0:
payments_file.write(u'\n%s\t%.2f\n' % (user.username,
total_earned_cash))
payments_file.close()
def write_superlexicographic_stats(payments_file, user, pos):
real_lemmas = RealizedLemma.objects.filter(user_stats__user=user,
lemma__entry_obj__pos__tag=pos,
date__gte=STARTDATE,
date__lte=ENDDATE,
status__type__sym_name='checked',
bonus=False)
earned_cash = real_lemmas.aggregate(Sum('cash'))['cash__sum']
if earned_cash == None:
earned_cash = 0.0
payments_file.write(u'Sprawdzone:\n')
for done_lemma in real_lemmas.order_by('date'):
payments_file.write(u'%s\t%.2f\t%s\n' % (done_lemma.lemma.entry_obj.name,
done_lemma.cash,
done_lemma.date.strftime('%Y%m%d')))
lex_work_stats = {'earned_cash': round(earned_cash, 2)}
return lex_work_stats
def write_semantic_stats(payments_file, user, pos):
real_semantics = RealizedSemantics.objects.filter(user_stats__user=user,
date__gte=STARTDATE,
date__lte=ENDDATE,
entry__pos__tag=pos)
earned_cash = real_semantics.filter(user_stats__user=user).aggregate(Sum('cash'))['cash__sum']
if earned_cash == None:
earned_cash = 0.0
bonus_cash = real_semantics.filter(user_stats__user=user,
bonus=True).aggregate(Sum('cash'))['cash__sum']
if bonus_cash == None:
bonus_cash = 0.0
prop_frames = real_semantics.filter(user_stats__user=user).aggregate(Sum('prop_frames'))[
'prop_frames__sum']
if prop_frames == None:
prop_frames = 0
part_prop_frames = real_semantics.filter(user_stats__user=user).aggregate(Sum('part_prop_frames'))[
'part_prop_frames__sum']
if part_prop_frames == None:
part_prop_frames = 0
wrong_frames = real_semantics.filter(user_stats__user=user).aggregate(Sum('wrong_frames'))[
'wrong_frames__sum']
if wrong_frames == None:
wrong_frames = 0
corr_frames = real_semantics.filter(user_stats__user=user).aggregate(Sum('corr_frames'))[
'corr_frames__sum']
if corr_frames == None:
corr_frames = 0
part_corr_frames = real_semantics.filter(user_stats__user=user).aggregate(Sum('part_corr_frames'))[
'part_corr_frames__sum']
if part_corr_frames == None:
part_corr_frames = 0
ncorr_frames = real_semantics.filter(user_stats__user=user).aggregate(Sum('ncorr_frames'))[
'ncorr_frames__sum']
if ncorr_frames == None:
ncorr_frames = 0
made_frames = real_semantics.filter(user_stats__user=user).aggregate(Sum('made_frames'))[
'made_frames__sum']
if made_frames == None:
made_frames = 0
added_connections = real_semantics.filter(user_stats__user=user).aggregate(Sum('added_connections'))[
'added_connections__sum']
if added_connections == None:
added_connections = 0
efficacy = 0.0
if prop_frames + wrong_frames > 0:
efficacy = float(prop_frames) / float(prop_frames + wrong_frames) * 100.0
payments_file.write(u'Wykonane:\n')
done_semantics = real_semantics.filter(bonus=False).order_by('date')
for done_sem in done_semantics:
done_cash = done_sem.cash
try:
done_bonus = real_semantics.get(bonus=True, entry=done_sem.entry).cash
done_cash += done_bonus
except RealizedSemantics.DoesNotExist:
pass
payments_file.write(u'%s\t%.2f\t%s\n' % (done_sem.entry.name,
done_cash,
done_sem.date.strftime('%Y%m%d')))
sem_work_stats = {'earned_cash': round(earned_cash, 2),
'bonus_cash': round(bonus_cash, 2),
'prop_frames': prop_frames,
'part_prop_frames': part_prop_frames,
'wrong_frames': wrong_frames,
'corr_frames': corr_frames,
'part_corr_frames': part_corr_frames,
'checked_frames': ncorr_frames + corr_frames + part_corr_frames,
'made_frames': made_frames,
'efficacy': round(efficacy, 2),
'added_connections': added_connections}
return sem_work_stats
def write_superphraseologic_stats(payments_file, user, pos):
added_bindings = RealizedPhraseologyBinding.objects.filter(user_stats__user=user,
date__gte=STARTDATE,
date__lte=ENDDATE)
used_bindings = get_used_bindings(added_bindings)
checked_phraseology = RealizedPhraseology.objects.filter(user_stats__user=user,
date__gte=STARTDATE,
date__lte=ENDDATE,
bonus=False,
status__type__sym_name='checked_f',
lemma__entry_obj__pos__tag=pos)
earned_cash_frames = checked_phraseology.aggregate(Sum('cash'))['cash__sum']
if earned_cash_frames == None:
earned_cash_frames = 0.0
earned_cash_bindings = used_bindings.aggregate(Sum('cash'))['cash__sum']
if earned_cash_bindings == None:
earned_cash_bindings = 0.0
earned_cash = earned_cash_frames + earned_cash_bindings
phraseologic_empty_frame_value = 1.0
empty_value = 0.0
payments_file.write(u'Sprawdzone:\n')
checked_phraseology = checked_phraseology.order_by('date')
for checked_phr in checked_phraseology:
cash = checked_phr.cash
if cash == 0.0:
cash = phraseologic_empty_frame_value
empty_value += phraseologic_empty_frame_value
payments_file.write(u'%s\t%.2f\t%s\n' % (checked_phr.lemma.entry_obj.name,
cash,
checked_phr.date.strftime('%Y%m%d')))
earned_cash += empty_value
payments_file.write(u'\n\nDodane powiazania frazeologiczne:\n')
for binding in used_bindings.order_by('date'):
payments_file.write(u'%s\t%.2f\t%s\n' % (binding.binded_entry.name,
binding.cash,
binding.date.strftime('%Y%m%d')))
phraseology_work_stats = {'earned_cash': round(earned_cash, 2),
'added_bindings': added_bindings.count(),
'used_bindings': used_bindings.count()}
return phraseology_work_stats
def write_phraseologic_stats(payments_file, user, pos):
added_bindings = RealizedPhraseologyBinding.objects.filter(user_stats__user=user,
date__gte=STARTDATE,
date__lte=ENDDATE)
used_bindings = get_used_bindings(added_bindings)
checked_and_done_phraseology = RealizedPhraseology.objects.filter(user_stats__user=user,
date__gte=STARTDATE,
date__lte=ENDDATE,
lemma__entry_obj__pos__tag=pos)
done_phraseology = checked_and_done_phraseology.filter(status__type__sym_name='ready_f',
bonus=False)
earned_cash_frames = done_phraseology.aggregate(Sum('cash'))['cash__sum']
if earned_cash_frames == None:
earned_cash_frames = 0.0
earned_cash_bindings = used_bindings.aggregate(Sum('cash'))['cash__sum']
if earned_cash_bindings == None:
earned_cash_bindings = 0.0
earned_cash = earned_cash_frames + earned_cash_bindings
bonus_cash = checked_and_done_phraseology.filter(bonus=True).aggregate(Sum('cash'))['cash__sum']
if bonus_cash == None:
bonus_cash = 0.0
earned_cash += bonus_cash
phraseologic_empty_frame_value = 1.0
empty_value = 0.0
payments_file.write(u'Wykonane:\n')
for done_phr in done_phraseology.order_by('date'):
cash = done_phr.cash
if cash == 0.0:
cash = phraseologic_empty_frame_value
empty_value += phraseologic_empty_frame_value
try:
done_bonus = checked_and_done_phraseology.get(bonus=True, lemma__entry_obj=done_phr.lemma.entry_obj).cash
cash += done_bonus
except RealizedPhraseology.DoesNotExist:
pass
payments_file.write(u'%s\t%.2f\t%s\n' % (done_phr.lemma.entry_obj.name,
cash,
done_phr.date.strftime('%Y%m%d')))
payments_file.write(u'\n\nDodane powiazania frazeologiczne:\n')
for binding in used_bindings.order_by('date'):
payments_file.write(u'%s\t%.2f\t%s\n' % (binding.binded_entry.name,
binding.cash,
binding.date.strftime('%Y%m%d')))
earned_cash += empty_value
phraseology_work_stats = {'earned_cash': round(earned_cash, 2),
'added_bindings': added_bindings.count(),
'used_bindings': used_bindings.count(),}
return phraseology_work_stats
def write_lexicographic_stats(payments_file, user, pos):
real_lemmas = RealizedLemma.objects.filter(user_stats__user=user,
lemma__entry_obj__pos__tag=pos,
date__gte=STARTDATE,
date__lte=ENDDATE)
earned_cash = real_lemmas.filter(status__type__sym_name='ready').aggregate(Sum('cash'))['cash__sum']
if earned_cash == None:
earned_cash = 0.0
lemmas_to_erase_cash = 0.0
lemmas_marked_to_erase = Lemma.objects.filter(owner=user,
old=False,
status__type__sym_name='erase',
entry_obj__pos__tag=pos)
payments_file.write(u'Zaznaczone do usunięcia:\n')
for lemma in lemmas_marked_to_erase:
erase_date = lemma.status_history.order_by('-date')[0].date
if erase_date >= STARTDATE and erase_date <= ENDDATE:
payments_file.write(u'%s\t%.2f\t%s\n' % (lemma.entry_obj.name,
1.0,
erase_date.strftime('%Y%m%d')))
lemmas_to_erase_cash += 1.0
earned_cash += lemmas_to_erase_cash
bonus_cash = real_lemmas.filter(bonus=True).aggregate(Sum('cash'))['cash__sum']
if bonus_cash == None:
bonus_cash = 0.0
earned_cash += bonus_cash
payments_file.write(u'\n\nWykonane:\n')
done_lemmas = real_lemmas.filter(bonus=False,
status__type__sym_name='ready').order_by('date')
for done_lemma in done_lemmas:
cash = done_lemma.cash
try:
bonus = real_lemmas.get(bonus=True, lemma__entry_obj=done_lemma.lemma.entry_obj).cash
cash += bonus
except RealizedLemma.DoesNotExist:
pass
payments_file.write(u'%s\t%.2f\t%s\n' % (done_lemma.lemma.entry_obj.name,
cash,
done_lemma.date.strftime('%Y%m%d')))
lex_work_stats = {'earned_cash': round(earned_cash, 2),
'bonus_cash': round(bonus_cash, 2),
'lemmas_to_erase_cash': round(lemmas_to_erase_cash, 2)}
return lex_work_stats