def main():
# parse args
parser = ap.ArgumentParser()
parser.add_argument('csv', type=str, help='CSV file to read products from')
parser.add_argument('--budget', metavar='budget',
type=int, required=True, help='Total budget to initialize db with.')
parser.add_argument('--tick-length', metavar='tick_length',
type=int, required=True, help='The length of a tick.')
parser.add_argument('--tick-count', metavar='tick_count',
type=int, required=True, help='Total number of planned ticks.')
parser.add_argument('--quarantine', metavar='quarantine',
type=int, required=True, help='Total number of planned ticks.')
parsed = parser.parse_args()
# get products and construct zero adjustments
products = parse_products_csv(parsed.csv)
adjustments = {product['code']: 0 for product in products}
# setup DB
db = Database(Exchange.DATABASE_FILE)
db.connect()
# ensure schema exists
for statement in open('schema.sql').read().split(';'):
db.exe(statement)
# set configuration
db.set_config_stock_running(False)
db.set_config_budget(parsed.budget)
db.set_config_tick_length(parsed.tick_length)
db.set_config_total_ticks(parsed.tick_count)
db.set_config_quarantine(parsed.quarantine)
db.import_products(products, replace_existing=True)
try:
db.do_tick(adjustments, tick_no=0)
except Exception as e:
print('tick data already exsist')
print(f'error: {e}')
db.close()
import argparse
from bearstock.stock import Exchange
from bearstock.database import Database
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument('--adj', type=int, required=True)
parser.add_argument('--min', type=int, required=True)
parsed = parser.parse_args()
db = Database(Exchange.DATABASE_FILE)
db.connect()
all_products = db.get_all_products(include_hidden=True)
for product in all_products:
old_price = product.base_price
new_price = max(old_price + parsed.adj, parsed.min)
product.base_price = new_price
product.update_in_db()
print(
f'Adjusted price for \'{product.code}\' from {old_price} to {new_price}'
)
print(f'Adjusted all products by {parsed.adj} NOK')
db.close()