def run_query(regions = get_match_data.get_match_regions(), tiers = static_data.highest_achieved_season_tier):
minions = static_io.read_json('minions_by_id.json')
upgrades = static_io.read_json('upgrades_by_id.json')
data = query_io.read_json('minions.json')
result = {}
create_query_result_dict(result, minions, upgrades)
query_minions_json(result, data, regions, tiers, minions, upgrades)
calculate_extras(result)
query_io.write_json(result, 'test.json')
return result_breakdown(result)
__author__ = 'Kishan'
import json
import os
import sys
from FlaskApp.scripts.data_retrieval.match_data import get_match_data
from FlaskApp.scripts.data_retrieval import static_data
from FlaskApp.scripts.data_retrieval.static_data import static_io
from FlaskApp.scripts.data_analytics import data_filter
from FlaskApp.scripts.config import config
regions = get_match_data.get_match_regions() # Only 'br'
print('\nMinions\n')
def main():
minions_json = {}
sys.stdout.write('Creating empty JSON...')
sys.stdout.flush()
create_champions_dict(minions_json)
sys.stdout.write('\rCreating empty JSON...done!\n')
sys.stdout.flush()
sys.stdout.write('Populating dict...')
sys.stdout.flush()
populate_dict(minions_json)
sys.stdout.write('\rPopulating dict...done!\n')
sys.stdout.flush()
__author__ = 'Kishan'
import os
import json
import sys
from FlaskApp.scripts.config import config
from FlaskApp.scripts.data_retrieval.match_data import get_match_data
match_data_directory = config.match_data_directory
regions = get_match_data.get_match_regions()
# Print progress to console
def progress_countdown(progress_counter, region):
sys.stdout.write('\rProgress Countdown: ' + region.upper() +
' ' + str(progress_counter))
sys.stdout.flush()
# Check if math JSONs can be loaded, if not, print match id to console for manual fix
for r in regions:
match_data_directory = os.path.join(config.match_data_directory, r.upper())
matches = os.listdir(match_data_directory)
progress_counter = len(matches)
for m in matches:
if not m.endswith('.json'):
continue
with open(os.path.join(match_data_directory, str(m)), 'r') as f:
try:
json.load(f)
