def get_todays_optimal_lineup(self):
# # uncomment to also prepare csvs
print "Step 0: Getting data and creating CSVs."
# let's first get all the data we need and store it in csvs
ch = CSVHelper()
ch.create_csvs()
print "---> Data successfully stored!"
print "Step 1: Preparing data from CSVs :)"
# let's prepare out data for projections
dp = DailyProjector()
dp.prepare_data_for_projections("data/numberfire_data_sample.txt")
print "------> Data is prepared!"
print "Step 2: Time to make some projections :)"
# let's get the projections based on the prepared data
projections = dp.project_fd_score()
print projections
print "------> Projections are ready!"
print "Step 3: Let's get that golden lineup!!!!"
# let's get the optimal lineup based on the projections
lo = LineupOptimizer(projections)
with open('static/data/optimal_lineup.json', 'wb') as ol:
json.dump(lo.optimize(), ol)
print "------> Your lineup has been stored in static/data/optimal_lineup.json. \
Let's make some cash money ;)"
print "------> This lineup can also be viewed at \
def get_todays_optimal_lineup(self):
# # uncomment to also prepare csvs
print "Step 0: Getting data and creating CSVs."
# let's first get all the data we need and store it in csvs
ch = CSVHelper()
ch.create_csvs()
print "---> Data successfully stored!"
print "Step 1: Preparing data from CSVs :)"
# let's prepare out data for projections
dp = DailyProjector()
dp.prepare_data_for_projections("data/numberfire_data_sample.txt")
print "------> Data is prepared!"
print "Step 2: Time to make some projections :)"
# let's get the projections based on the prepared data
projections = dp.project_fd_score()
print projections
print "------> Projections are ready!"
print "Step 3: Let's get that golden lineup!!!!"
# let's get the optimal lineup based on the projections
lo = LineupOptimizer(projections)
with open('static/data/optimal_lineup.json', 'wb') as ol:
json.dump(lo.optimize(), ol)
print "------> Your lineup has been stored in static/data/optimal_lineup.json. \
Let's make some cash money ;)"
print "------> This lineup can also be viewed at \
def prepare_data_for_projections(self, text_file=None):
nf_scraper = NumberFireScraper()
if text_file:
with open(text_file, 'r') as inf:
for line in inf:
nf_data = eval(line)
else:
nf_data = nf_scraper.get_todays_player_data()
csv_helper = CSVHelper()
self.players, nf_to_stattleship_map = \
csv_helper.prepare_data_from_csvs()
for nf_id, attributes in nf_data.iteritems():
stattleship_slug = nf_to_stattleship_map[nf_id]
self.upcoming_games[stattleship_slug] = dict()
for attr in attributes:
self.upcoming_games[stattleship_slug][attr] = \
nf_data[nf_id][attr]
# setting team to unknown if it is not known
# it is unknown between days when numberfire is switching over
if 'team' not in self.upcoming_games[stattleship_slug].keys():
self.upcoming_games[stattleship_slug]['team'] = 'UNK'
def prepare_data_for_projections(self, text_file=None):
nf_scraper = NumberFireScraper()
if text_file:
with open(text_file, 'r') as inf:
for line in inf:
nf_data = eval(line)
else:
nf_data = nf_scraper.get_todays_player_data()
csv_helper = CSVHelper()
self.players, nf_to_stattleship_map = \
csv_helper.prepare_data_from_csvs()
for nf_id, attributes in nf_data.iteritems():
stattleship_slug = nf_to_stattleship_map[nf_id]
self.upcoming_games[stattleship_slug] = dict()
for attr in attributes:
self.upcoming_games[stattleship_slug][attr] = \
nf_data[nf_id][attr]
# setting team to unknown if it is not known
# it is unknown between days when numberfire is switching over
if 'team' not in self.upcoming_games[stattleship_slug].keys():
self.upcoming_games[stattleship_slug]['team'] = 'UNK'
