import copy
import sys
import os
sys.path.insert(0,r"X:\Users\Ralphie\Documents\local_repo\price_finder")
dirname = os.path.dirname(__file__)
sys.path.insert(0,dirname)
# print(dirname)
sys.path.insert(0,dirname)
from batch_process import get_prices
from quad_dialog_new import message,dicter
import datetime
import sqlite3
import pandas
from decimal import Decimal as D
import argparse
# print('imports done')
# print(os.getcwd())
if __name__ == "__main__":
    parser = argparse.ArgumentParser()
    parser.add_argument('--stdout',action = 'store')
    parser.add_argument('--stderr',action = 'store')
    args = parser.parse_args()
    # print('args parsed')
    time = str(datetime.datetime.today())
    # breakpoint()
    if args.stdout:
        with open(args.stdout,'w') as file:
            file.write(time)
        # print("stdout written")
        sys.stdout = open(args.stdout,'a')
        
    if args.stderr:
        with open(args.stderr,'w') as file:
            file.write(time)
        # print("stderr written")
        sys.stderr = open(args.stderr,'a')
    con = sqlite3.connect(os.path.join(dirname,'quadparts.db'))
    cur = con.cursor()
    date = str(datetime.date.today())
    result = list(cur.execute('SELECT * FROM parts WHERE date == ? LIMIT 1',(date,)))
    quad_links = list(row[0] for row in cur.execute('SELECT link FROM links ORDER BY id'))
    if not result:
        print('Executing')
        quad_parts_base = pandas.read_sql('SELECT * FROM names',con).to_dict('records')
        products = get_prices(quad_links,use_proxies=True)
        current = copy.deepcopy(quad_parts_base)
        complete = list({'product_name':product.info_product['product_name'],
                        'price': float(product.info_product['price']),
                        'date': product.time.strftime('%Y-%m-%d'),
                        'time': product.time.strftime('%H:%M:%S.%f'),
                        'location':product.info_url.netloc,
                        'link_id': quad_links.index(product.url)} for product in products)
        df = pandas.DataFrame(complete)
        df.to_sql('parts',con,if_exists='append',index=False)
        for i in range(len(complete)):
            complete[i]['price'] = round(D(complete[i]['price']),2)
        for item in current:
            name = item['name']
            link = item['link']
            item['product_name'] = complete[link]['product_name']
            item['price'] = complete[link]['price']
            item['time'] = complete[link]['time']
        bought = message(quad_parts_base,current)
        quad_parts_base = dicter(quad_parts_base)
        for key,is_purchased in bought.items():
            if is_purchased:
                if quad_parts_base[key]['count'] > 1:
                    cur.execute('UPDATE names SET count = count - 1 WHERE name == ?',(key,))
                else:
                    cur.execute('UPDATE names SET purchased = 1 WHERE name == ?',(key,))
        con.commit()
    con.close()