def arbitrage(obj):
obj.current_strategy = 'Arbitrage'
temp_settings = obj.strategy_settings['arbitrage']
min_price = temp_settings['min_price']
max_price = temp_settings['max_price']
min_profit = temp_settings['min_profit']
min_percentage_of_price = temp_settings['min_percentage_of_price']
players = temp_settings['players']
remove_keys = [
'min_price', 'max_price', 'min_profit', 'min_percentage_of_price',
'players'
]
settings = {k: v for k, v in temp_settings.items() if k not in remove_keys}
multi_log(obj, 'Conducting Arbitrage...', level='title')
players_to_arbitrage = []
# Go through player lists
for player in players:
futbin = info.get_price(player, obj, False, False, 'futbin')
futhead = info.get_price(player, obj, False, False, 'futhead')
if futbin != 0 and futhead != 0:
potential = int(round((futbin * 0.95) - futhead))
percent = abs(int(round((potential / futbin) * 100)))
if potential > min_profit and percent > min_percentage_of_price:
players_to_arbitrage.append(
(player, futhead, futbin, potential))
sleep(0.25)
if len(players_to_arbitrage) == 0:
multi_log(obj, 'No players to arbitrage')
return None
for player in players_to_arbitrage:
search_price = player[2]
tier = info.get_tier(search_price)
search_price = info.round_down(search_price,
Global.rounding_tiers[tier])
sell_price = info.round_down(player[2] - (0.2 * player[3]),
Global.rounding_tiers[tier])
if search_price > 0:
if obj.get_credits(
) > search_price and min_price <= search_price <= max_price:
snipe_criteria = {
'search_type': 'Players',
'player': player[0],
'quality': None,
'position': None,
'chem_style': None,
'nation': None,
'league': None,
'club': None,
'min_bin': None,
'include': None,
'exclude': None,
}
common_snipe(obj,
name=info.get_player_info(
snipe_criteria['player'], False)['name'],
snipe_criteria=snipe_criteria,
price=search_price,
sell_price=sell_price,
strategy='arbitrage',
**settings)
def common_fight(obj, strategy, use_buy_percent=None, min_profit=100):
def get_bids(price_to_get):
bids = obj.__get_items__(
p_element='../..',
p_type='xpath',
gp_element="//*[contains(text(), 'Active Bids')]",
gp_type='xpath',
get_price=price_to_get)
to_fight = []
for b in bids:
if not b['expired'] and b['time_left'] > 5:
to_fight.append(b)
return to_fight
multi_log(obj, 'Fighting for bids...', level='header')
obj.go_to('transfer_targets')
fight_bids = get_bids(True)
prices = {}
for bid in fight_bids:
prices[bid['resource_id']] = info.get_price(bid['resource_id'], obj,
False)
min_expire = 9999999
while len(fight_bids) > 0:
fight_bids = get_bids(False)
for bid in fight_bids[:]:
if bid['time_left'] < min_expire:
min_expire = bid['time_left']
if not bid['expired'] and bid[
'bid_status'] == 'outbid' and 3 < bid['time_left'] <= 60:
tier = info.get_tier(bid['current_bid'])
profit_buy_percent = obj.bin_settings[tier]['buy_percent']
max_bin = prices[bid['resource_id']]
if strategy != 'acquire':
if not use_buy_percent:
max_buy = info.round_down(
(max_bin * 0.95 * dynamic_profit(obj) -
min_profit *
obj.bin_settings[tier]['sell_percent']),
Global.rounding_tiers[tier])
else:
max_buy = info.round_down(
(max_bin * profit_buy_percent *
dynamic_profit(obj)), Global.rounding_tiers[tier])
else:
max_buy = max_bin
my_bid = bid['current_bid'] + Global.rounding_tiers[tier]
if my_bid <= max_buy:
obj.bid(item=bid, amount=my_bid)
common_process_transfer_targets(obj, strategy)
obj.keep_alive(5)
multi_log(obj, 'There are 0 remaining bids to fight for. Processing...')
common_process_transfer_targets(obj, strategy)
def process_items(items):
for item in items:
if item['item_type'] == 'player':
price = item['futbin_price']
tier = info.get_tier(price)
bin_price = max(250, info.round_down(price * obj.bin_settings[tier]['sell_percent'], Global.rounding_tiers[tier]))
if bin_price > 350:
start_price = bin_price - obj.bin_settings[tier]['spread']
actions.sell(obj, item, start_price, bin_price)
else:
actions.send_to_club(obj, item, strategy='bpm')
elif item['item_type'] == 'fitness' and 'squad' in item['item_name'].lower():
if settings['keep_squad_fitness']:
actions.send_to_club(obj, item, strategy='bpm')
else:
actions.sell(obj, item, 500, 800)
elif item['item_type'] == 'healing':
if any(s in item['item_name'].lower() for s in ['all', 'upper', 'foot', 'leg', 'knee', 'arm']):
if 'all' in item['item_name'].lower():
actions.sell(obj, item, 250, 500)
else:
actions.sell(obj, item, 150, 200)
else:
actions.send_to_club(obj, item, strategy='bpm')
elif min_sell_types and item['item_type'] in min_sell_types:
actions.sell(obj, item, 150, 200)
elif club_types and item['item_type'] in club_types:
if item['item_type'] == 'fitness' and 'squad' in item['item_name'].lower():
actions.sell(obj, item, 300, 500)
elif item['quality'] != 'bronze' and item['item_type'] != 'staff':
actions.sell(obj, item, 150, 200)
else:
actions.send_to_club(obj, item, strategy='bpm')
elif quick_sell_types and item['item_type'] in quick_sell_types:
if item['item_type'] == 'training' and 'all' in item['item_name'].lower():
actions.sell(obj, item, 200, 400)
else:
multi_log(obj, 'Will quick sell {} at the end'.format(item['item_name']))
elif item['item_type'].lower != 'coins' :
item['element'].click()
obj.driver.find_element_by_xpath(".//*[contains(text(), 'Redeem')]").click()
else:
multi_log(obj, 'NEW ITEM IN BPM: {}'.format(item), level='warn', notify=True, icon_url=item['image'])
obj.keep_alive(Global.micro_max)
try:
obj.keep_alive(Global.small_max)
obj.driver.find_element_by_xpath(".//*[contains(text(), 'Quick Sell') and (contains(text(), 'Item'))]").click()
multi_log(obj, 'Quick selling remaining items')
obj.keep_alive(Global.small_max)
modal = obj.__get_class__('ui-dialog-type-message', as_list=False)
modal.find_element_by_xpath(".//*[contains(text(), 'Ok')]").click()
obj.location = 'store'
except Exception as e:
multi_log(obj, e, level='error')
obj.keep_alive(Global.small_max)
def coin_transfer_list(obj, lose_coins, players):
# List player for 80-90% of max with a bid random few steps below and for 1 day
run_transfer_finish = False
for i, player in enumerate(players):
name = info.get_player_info(player)['name']
tier = info.get_tier(38000)
step = Global.rounding_tiers[tier]
start_price = info.round_down(int(38000 + (rand(-10, 10) * step)), Global.rounding_tiers[tier])
bin_price = info.round_down(start_price + (rand(6, 10) * step), Global.rounding_tiers[tier])
result = find_player(obj, player)
if len(result) == 1:
run_transfer_finish = True
obj.sell(result[0], start_price, bin_price, duration='1 Day')
# Record min bid and bin and time to expire
expires = datetime.now() + timedelta(days=1)
with open(obj.config_file) as config:
new_config = yaml.load(config)
new_player = {
'asset_id': player,
'start_price': start_price,
'bin_price': bin_price,
'expires': expires,
'lose_coins': lose_coins
}
try:
new_config['coin_transfer']['players'].append(new_player)
except AttributeError:
new_config['coin_transfer']['players'] = []
new_config['coin_transfer']['players'].append(new_player)
with open(obj.config_file, 'w') as update:
yaml.dump(new_config, update)
else:
multi_log(obj, 'Error finding player {} for coin transfer'.format(name), level='error', notify=True, title='Coin Transfer Error')
if run_transfer_finish:
# Start buy script that runs in background
coin_transfer_finish_prep.prep(obj.bot_number, lose_coins)
multi_log(obj, 'Waiting for coin transfer to finish in the background.')
obj.location = 'home'
else:
multi_log(obj, 'Something went wrong with coin transferring and there were no players to list.', level='error', notify=True, title='Coin Transfer Error')
def check_transfer_targets(return_data):
if obj.location != 'transfer_targets':
obj.go_to('transfer_targets')
multi_log(obj, 'Waiting on last bid to expire')
while True:
max_expire = 0
watched_items = obj.__get_items__(
p_element='../..',
p_type='xpath',
gp_element="//*[contains(text(), 'Watched Items')]",
gp_type='xpath',
get_price=False)
if len(watched_items) == 0:
break
for item in watched_items:
if item['time_left'] > max_expire:
max_expire = item['time_left']
obj.keep_alive(max_expire + 5)
expired_bids = obj.__get_items__(
p_element='../..',
p_type='xpath',
gp_element="//*[contains(text(), 'Expired Items')]",
gp_type='xpath',
get_price=False)
expired = {}
for expired_bid in expired_bids:
if expired_bid['asset_id'] in settings['players']:
if expired_bid['asset_id'] not in list(expired.keys()):
expired[expired_bid['asset_id']] = {
'bid_amounts': 0,
'num_results': 0
}
expired[expired_bid['asset_id']]['bid_amounts'] += expired_bid[
'current_bid']
expired[expired_bid['asset_id']]['num_results'] += 1
for asset, data in expired.items():
return_data[asset]['average_bid'] = info.round_down(
data['bid_amounts'] / data['num_results'], rounding)
for return_asset, return_info in return_data.items():
name = info.get_player_info(return_asset, False)['name']
multi_log(
obj,
'{}\'s Average Bid: {}'.format(name,
return_info['average_bid']))
database.save_market_data(obj, name, return_info['asset_id'],
return_info['average_bid'],
return_info['minimum_bin'])
obj.clear_expired()
return {}, 0
def silver_flip(obj):
def check_transfer_targets():
if obj.location != 'transfer_targets':
obj.go_to('transfer_targets')
multi_log(obj, 'Waiting on last bid to expire')
while True:
max_expire = 0
watched_items = obj.__get_items__(
p_element='../..',
p_type='xpath',
gp_element="//*[contains(text(), 'Watched Items')]",
gp_type='xpath',
get_price=False)
if len(watched_items) == 0:
break
for item in watched_items:
if item['time_left'] > max_expire:
max_expire = item['time_left']
obj.keep_alive(max_expire + 5)
expired_bids = obj.__get_items__(
p_element='../..',
p_type='xpath',
gp_element="//*[contains(text(), 'Expired Items')]",
gp_type='xpath',
get_price=False)
expired = {}
for expired_bid in expired_bids:
if expired_bid['asset_id'] not in list(expired.keys()):
expired[expired_bid['asset_id']] = {
'bid_amounts': 0,
'num_results': 0
}
expired[expired_bid['asset_id']]['bid_amounts'] += expired_bid[
'current_bid']
expired[expired_bid['asset_id']]['num_results'] += 1
return_players = []
for asset, data in expired.items():
futbin_price = info.get_price(asset)
tier = info.get_tier(futbin_price)
rounding = Global.rounding_tiers[tier]
average_bid = info.round_down(
data['bid_amounts'] / data['num_results'], rounding)
coins_from_sale = futbin_price * 0.95
potential_profit = coins_from_sale - average_bid
if settings[
'use_buy_percent'] and potential_profit >= coins_from_sale - (
futbin_price * obj.bin_settings['buy_percent']):
return_players.append({
'asset_id':
asset,
'name':
info.get_player_info(asset, False)['name'],
'bid':
average_bid,
'futbin':
futbin_price
})
elif potential_profit >= settings['min_profit']:
return_players.append({
'asset_id':
asset,
'name':
info.get_player_info(asset, False)['name'],
'bid':
average_bid,
'futbin':
futbin_price
})
for player_data in return_players:
name = info.get_player_info(player_data['asset_id'], False)['name']
multi_log(
obj, '{}\'s Average Bid: {} | Futbin price: {}'.format(
name, player_data['bid'], player_data['futbin']))
obj.clear_expired()
return return_players
obj.current_strategy = 'Silver Flip'
temp_settings = obj.strategy_settings['silver_flip']
min_price = temp_settings['min_price']
max_price = temp_settings['max_price']
max_results = temp_settings['max_results']
market_monitor = temp_settings['market_monitor']
players = temp_settings['players']
remove_keys = [
'max_iterations', 'min_price', 'max_price', 'market_monitor',
'players', 'max_results'
]
settings = {k: v for k, v in temp_settings.items() if k not in remove_keys}
multi_log(obj, 'Silver Flipping...', level='title')
# Get market information
bid_players = []
if len(players) == 0 or market_monitor['refresh']:
obj.strategy_settings['silver_flip']['players'] = []
for league in market_monitor['leagues']:
iterations = 0
multi_log(obj, 'Getting market data for {}.'.format(league))
while iterations < market_monitor['iterations']:
full = False
bid_results = obj.search(search_type='Players',
quality='Silver',
league=league,
min_buy=min_price,
max_buy=max_price)
iterations += 1
for bid_result in bid_results:
if bid_result['time_left'] <= market_monitor[
'max_time_left'] and bid_result[
'current_bid'] != bid_result['start_price']:
bid_result['element'].click()
obj.keep_alive(Global.micro_min)
err = obj.__check_for_errors__()
if err == 'limit':
full = True
break
side_panel = obj.__get_class__('DetailView',
as_list=False)
try:
side_panel.find_element_by_class_name(
'watch').click()
err = obj.__check_for_errors__()
if err == 'limit':
full = True
break
except (ElementNotVisibleException, TimeoutException,
NoSuchElementException):
pass
while not full:
try:
nav_bar = obj.__get_class__('pagingContainer',
as_list=False)
except (ElementNotVisibleException, NoSuchElementException,
TimeoutException):
nav_bar = obj.__get_class__('mainHeader',
as_list=False)
try:
next_btn = nav_bar.find_element_by_class_name('next')
obj.__click_element__(next_btn)
bid_results = obj.__get_items__()
least_time_left = 99999999
for bid_result in bid_results:
if bid_result['time_left'] <= market_monitor[
'max_time_left'] and bid_result[
'current_bid'] != bid_result[
'start_price']:
bid_result['element'].click()
obj.keep_alive(Global.micro_max)
err = obj.__check_for_errors__()
if err == 'limit':
full = True
break
side_panel = obj.__get_class__('DetailView',
as_list=False)
try:
side_panel.find_element_by_class_name(
'watch').click()
err = obj.__check_for_errors__()
if err == 'limit':
full = True
break
except (ElementNotVisibleException,
TimeoutException,
NoSuchElementException):
pass
if bid_result['time_left'] < least_time_left:
least_time_left = bid_result['time_left']
except (ElementNotVisibleException, NoSuchElementException,
TimeoutException):
break
if full or least_time_left > market_monitor[
'max_time_left']:
break
temp_players = check_transfer_targets()
for temp_player in temp_players:
if temp_players not in players:
bid_players.append(temp_player)
else:
with open(obj.config_file) as config:
old_config = yaml.load(config)
bid_players = old_config['strategy_settings']['silver_flip'][
'players']
# Get BIN info if futbin update is too late
for bid_player in bid_players:
max_bin, update = info.get_price(bid_player['asset_id'],
obj,
return_updated=True)
tier = info.get_tier(max_bin)
rounding = Global.rounding_tiers[tier]
now = datetime.now()
last_update = bid_player.get('last_update', None)
if last_update:
difference = (now - last_update).seconds
else:
difference = (now - now - timedelta(hours=99)).seconds
if update > settings['max_futbin_update'] and update < difference:
multi_log(
obj, 'Price data for {} out of date. Getting current price...'.
format(info.get_player_info(bid_player['asset_id'])['name']))
num_results = 0
total_bins = 0
bin_with_results = []
while num_results < 3:
bin_results = obj.search(search_type='Players',
player=bid_player['asset_id'],
max_bin=max_bin)
if len(bin_results) > max_results:
if total_bins == 0:
min_bin = 999999
for bin_result in bin_results:
if bin_result['buy_now_price'] < min_bin:
min_bin = bin_result[
'buy_now_price'] - Global.rounding_tiers[
tier]
max_bin = min_bin
continue
else:
for bin_result in bin_results:
if bin_result[
'buy_now_price'] not in bin_with_results:
total_bins += bin_result['buy_now_price']
num_results += 1
if len(bin_results) > 0:
bin_with_results.append(max_bin)
elif len(bin_results) == 0:
max_bin += rounding * 2
else:
for bin_result in bin_results:
if bin_result['buy_now_price'] not in bin_with_results:
total_bins += bin_result['buy_now_price']
num_results += 1
max_bin += rounding
if len(bin_results) > 0:
bin_with_results.append(max_bin)
minimum_bin = info.round_down(total_bins / num_results, rounding)
bid_player['minimum_bin'] = minimum_bin
bid_player['last_update'] = datetime.now()
else:
bid_player['minimum_bin'] = max_bin
coins_from_sale = bid_player['minimum_bin'] * 0.95
potential_profit = coins_from_sale - bid_player['bid']
current_players = []
if bid_player['asset_id'] not in current_players:
current_players.append(bid_player['asset_id'])
if settings['use_buy_percent']:
if potential_profit >= coins_from_sale - (
bid_player['minimum_bin'] *
obj.bin_settings['buy_percent']):
players.append(bid_player)
else:
if potential_profit >= settings['min_profit']:
players.append(bid_player)
with open(obj.config_file) as config:
new_config = yaml.load(config)
new_config['strategy_settings']['silver_flip']['players'] = players
with open(obj.config_file, 'w') as update:
yaml.dump(new_config, update)
total_bids = 0
# Search and bid
for player in players:
futbin_price = player['minimum_bin']
if futbin_price > 0:
if obj.get_credits(
) > futbin_price and min_price <= futbin_price <= max_price:
hunt_criteria = {
'search_type': 'Players',
'player': player['asset_id'],
'quality': None,
'position': None,
'chem_style': None,
'nation': None,
'league': None,
'club': None,
'min_bin': None,
'include': None,
'exclude': None,
}
num_bids = common_hunt(obj=obj,
name=info.get_player_info(
hunt_criteria['player'],
False)['name'],
price=futbin_price,
hunt_criteria=hunt_criteria,
strategy='silver_flip',
**settings)
if num_bids == 'limit':
common_wait_to_expire(obj=obj, strategy='hunt')
else:
total_bids += num_bids
if total_bids > 0:
if not settings['use_max_buy']:
common_fight(obj=obj, strategy='silver_flip', settings=settings)
else:
common_wait_to_expire(obj=obj, strategy='silver_flip')
def price_fix(obj):
obj.current_strategy = 'Price Fix'
settings = obj.strategy_settings['price_fix']
snipe_settings = settings['snipe']
hunt_settings = settings['hunt']
players = settings['players']
multi_log(obj, 'Price-fixing Players...', level='title')
bids = 0
for num, player in players.items():
name = info.get_player_info(player['asset_id'], False)['name']
futbin_price = info.get_price(player['asset_id'], obj, False)
if futbin_price > player['sell_price']:
multi_log(
obj,
'{} price of {} is too low. Their Futbin price is {}'.format(
name, player['sell_price'], futbin_price),
level='warn')
continue
max_bin = player['sell_price']
tier = info.get_tier(max_bin)
if settings['use_buy_percent']:
max_bin = min(
futbin_price,
info.round_down(
max_bin * obj.bin_settings[tier]['buy_percent'],
Global.rounding_tiers[tier]))
else:
max_bin = info.round_down(
(player['sell_price'] * 0.95) - settings['min_profit'],
Global.rounding_tiers[tier])
sell_price = player['sell_price']
snipe_criteria = {
'search_type': 'Players',
'player': player['asset_id'],
'quality': None,
'position': None,
'chem_style': None,
'nation': None,
'league': None,
'club': None,
'min_bin': None,
}
common_snipe(obj=obj,
snipe_criteria=snipe_criteria,
name=name,
strategy='price_fix',
price=max_bin,
sell_price=sell_price,
**snipe_settings)
if obj.get_credits() > max_bin:
num_bids = common_hunt(obj=obj,
name=name,
hunt_criteria=snipe_criteria,
strategy='price_fix',
price=max_bin,
**hunt_settings)
if num_bids == 'limit':
common_wait_to_expire(obj=obj,
strategy='price_fix',
sell_price=sell_price)
else:
bids += num_bids
if bids > 0:
common_wait_to_expire(obj=obj,
strategy='price_fix',
sell_price=sell_price)
bids = 0
def market_monitor(obj):
def check_transfer_targets(return_data):
if obj.location != 'transfer_targets':
obj.go_to('transfer_targets')
multi_log(obj, 'Waiting on last bid to expire')
while True:
max_expire = 0
watched_items = obj.__get_items__(
p_element='../..',
p_type='xpath',
gp_element="//*[contains(text(), 'Watched Items')]",
gp_type='xpath',
get_price=False)
if len(watched_items) == 0:
break
for item in watched_items:
if item['time_left'] > max_expire:
max_expire = item['time_left']
obj.keep_alive(max_expire + 5)
expired_bids = obj.__get_items__(
p_element='../..',
p_type='xpath',
gp_element="//*[contains(text(), 'Expired Items')]",
gp_type='xpath',
get_price=False)
expired = {}
for expired_bid in expired_bids:
if expired_bid['asset_id'] in settings['players']:
if expired_bid['asset_id'] not in list(expired.keys()):
expired[expired_bid['asset_id']] = {
'bid_amounts': 0,
'num_results': 0
}
expired[expired_bid['asset_id']]['bid_amounts'] += expired_bid[
'current_bid']
expired[expired_bid['asset_id']]['num_results'] += 1
for asset, data in expired.items():
return_data[asset]['average_bid'] = info.round_down(
data['bid_amounts'] / data['num_results'], rounding)
for return_asset, return_info in return_data.items():
name = info.get_player_info(return_asset, False)['name']
multi_log(
obj,
'{}\'s Average Bid: {}'.format(name,
return_info['average_bid']))
database.save_market_data(obj, name, return_info['asset_id'],
return_info['average_bid'],
return_info['minimum_bin'])
obj.clear_expired()
return {}, 0
check_sleep(obj)
obj.current_strategy = 'Market Monitor'
settings = obj.strategy_settings['market_monitor']
multi_log(obj, 'Monitoring Market...', level='title')
obj.clear_expired()
cumulative_bids = 0
return_data = {}
for player in settings['players']:
return_data[player] = {
'asset_id': player,
'minimum_bin': 0,
'average_bid': 0
}
num_results = 0
total_bins = 0
player_info = info.get_player_info(player, include_futbin_price=True)
name = player_info['name']
futbin_price = player_info['futbin_price']
tier = info.get_tier(futbin_price)
rounding = Global.rounding_tiers[tier]
max_bin = futbin_price - (rounding * 2)
search_criteria = {
'search_type': 'Players',
'player': player,
}
multi_log(
obj, 'Getting market data for {}. Futbin price: {}'.format(
name, futbin_price))
# Get bin info
bin_with_results = []
while num_results < settings['min_results']:
bin_results = actions.search(obj=obj,
max_bin=max_bin,
**search_criteria)
if len(bin_results) > settings['max_results']:
if total_bins == 0:
min_bin = 999999
for bin_result in bin_results:
if bin_result['buy_now_price'] < min_bin:
min_bin = bin_result[
'buy_now_price'] - Global.rounding_tiers[tier]
max_bin = min_bin
continue
else:
for bin_result in bin_results:
if bin_result['buy_now_price'] not in bin_with_results:
total_bins += bin_result['buy_now_price']
num_results += 1
if len(bin_results) > 0:
bin_with_results.append(max_bin)
else:
for bin_result in bin_results:
if bin_result['buy_now_price'] not in bin_with_results:
total_bins += bin_result['buy_now_price']
num_results += 1
if len(bin_results) > 0:
bin_with_results.append(max_bin)
max_bin += rounding
minimum_bin = info.round_down(total_bins / num_results, rounding)
multi_log(obj,
'{}\'s Average Minimum BIN: {}'.format(name, minimum_bin))
return_data[player]['minimum_bin'] = minimum_bin
# Get bid info
max_buy = max(minimum_bin + (5 * rounding),
futbin_price + (3 * rounding))
num_results = 0
bid_results = actions.search(obj=obj,
max_buy=max_buy,
**search_criteria)
for bid_result in bid_results:
if bid_result['time_left'] <= 300 and (
bid_result['current_bid'] != bid_result['start_price']
or bid_result['current_bid'] <=
(futbin_price -
(5 * rounding))) and num_results < settings['min_results']:
try:
bid_result['element'].click()
except WebDriverException:
try:
obj.__click_xpath__(".//*[contains(text(), 'OK')]")
except TimeoutException:
pass
check_transfer_targets(return_data)
obj.keep_alive(Global.micro_min)
side_panel = obj.__get_class__('DetailView', as_list=False)
try:
side_panel.find_element_by_class_name('watch').click()
num_results += 1
cumulative_bids += 1
except (ElementNotVisibleException, TimeoutException,
NoSuchElementException):
pass
except WebDriverException:
obj.__click_xpath__(".//*[contains(text(), 'OK')]")
check_transfer_targets(return_data)
elif num_results >= settings['min_results']:
break
check_transfer_targets(return_data)
def relist_individually(obj, at_market=False, duration='1 Hour'):
obj.current_strategy = 'Relist Individually'
settings = obj.strategy_settings['relist_individually']
if settings['above_bin'] and settings['below_bin']:
multi_log(obj, 'Cannot relist players. Settings file has both below_bin and above_bin set to True.', level='error')
return 1
if obj.location != 'transfer_list':
obj.go_to('transfer_list')
while True:
expired = obj.__get_items__(p_element='../..', p_type='xpath', gp_element="//*[contains(text(), 'Unsold Items')]", gp_type='xpath', get_price=True)
if len(expired) == 0:
break
for item in expired:
if item['item_type'] == 'player':
if at_market:
futbin_price = item['futbin_price']
tier = info.get_tier(futbin_price)
level = 'green'
if settings['below_bin']:
futbin_price = info.round_down(futbin_price * obj.bin_settings[tier]['sell_percent'], Global.rounding_tiers[tier])
level = 'warn'
elif settings['above_bin']:
new_price = (item['buy_now_price'] + futbin_price) / 2
tier = info.get_tier(new_price)
futbin_price = max(futbin_price, info.round_down(new_price, Global.rounding_tiers[tier]))
level = 'warn'
tier = info.get_tier(futbin_price)
start_price = futbin_price - obj.bin_settings[tier]['spread']
multi_log(obj=obj, message='Relisting {} for {}. Was previously {}'.format(item['item_name'], futbin_price, item['buy_now_price']), level=level)
else:
futbin_price = item['buy_now_price']
start_price = item['start_price']
try:
obj.relist_item(item, start_price, futbin_price, duration)
except TimeoutException:
pass
else:
obj.relist_item(item, item['start_price'], item['buy_now_price'], duration)
obj.keep_alive(Global.micro_min)
break
try:
obj.rate_limit()
obj.__click_xpath__("//*[contains(text(), 'Re-list All')]", timeout=Global.small_min * 2)
obj.__click_xpath__("//*[contains(text(), 'Yes')]", timeout=Global.small_min * 2)
multi_log(obj, 'Items re-listed')
obj.go_to('transfers')
except TimeoutException:
pass
if duration == '1 Hour' and obj.settings['night_mode']['need_relist']:
from ruamel.yaml import YAML
yaml = YAML()
yaml.explicit_start = True
yaml.indent(mapping=4)
yaml.preserve_quotes = True
need_relisting = False
active_transfers = obj.__get_items__(p_element='../..', p_type='xpath', gp_element="//*[contains(text(), 'Active Transfers')]", gp_type='xpath',
get_price=False)
for active in active_transfers:
if active['time_left'] > 3601:
need_relisting = True
break
if not need_relisting:
with open(obj.config_file) as config:
new_config = yaml.load(config)
new_config['settings']['night_mode']['need_relist'] = False
with open(obj.config_file, 'w') as update:
yaml.dump(new_config, update)
def bid_on_results(results, num_bids, max_buy):
if len(results) > 0:
to_bid = []
for r in results:
if min_time_left <= r['time_left'] <= max_time_left and (r['current_bid'] + Global.rounding_tiers[tier] <= max_buy or
(r['current_bid'] == r['start_price'] and r['start_price'] <= max_buy)) and \
(hunt_criteria['search_type'].lower() != 'players' or ((not include and hunt_criteria['player'] == r['resource_id'])
or (r['resource_id'] in include))):
to_bid.append(r)
if len(to_bid) == 0:
multi_log(obj, 'Nothing worth bidding on', level='yellow')
else:
if use_max_buy:
sorted_bids = sorted(to_bid, key=itemgetter('time_left'))
else:
sorted_bids = sorted(to_bid, key=itemgetter('current_bid'))
for item in sorted_bids:
try:
futbin_price, updated = info.get_price(
item['resource_id'], return_updated=True)
if updated > max_futbin_update:
continue
result_tier = info.get_tier(futbin_price)
result_buy_percent = obj.bin_settings[result_tier][
'buy_percent']
if strategy != 'acquire' and strategy != 'price_fix':
if not use_buy_percent:
max_buy = info.round_down(
(futbin_price * 0.95 * dynamic_profit(obj)
* obj.bin_settings[result_tier]
['sell_percent']) - min_profit,
Global.rounding_tiers[result_tier])
else:
max_buy = info.round_down(
(futbin_price * result_buy_percent *
dynamic_profit(obj)),
Global.rounding_tiers[result_tier])
except (KeyError, TypeError):
continue
if num_bids < max_item_bids:
if use_max_buy:
my_bid = max_buy
elif strategy == 'acquire' and not use_max_buy:
my_bid = max_buy - (
2 * obj.bin_settings[result_tier]['spread'])
else:
my_bid = min(
max_buy, item['current_bid'] +
Global.rounding_tiers[result_tier])
if item['current_bid'] + Global.rounding_tiers[
result_tier] <= my_bid or (
item['current_bid'] == item['start_price']
and item['current_bid'] <= my_bid):
try:
bid_result = obj.bid(item, my_bid)
if bid_result == 'limit':
return 'limit'
elif bid_result:
num_bids += 1
if num_bids >= max_item_bids:
break
except StaleElementReferenceException:
pass
except Exception as e:
multi_log(obj,
'[{}]: Hunt BID error: {}'.format(
strategy, e),
level='error')
continue
else:
multi_log(
obj,
'HUNT PRICING ERROR: STRATEGY: {} | r[bnp]: {} | max: {} | len(res): {} |\
crit[type]: {} | player: {} | result: {}'
.format(strategy, item['buy_now_price'],
my_bid, len(search_results),
hunt_criteria['search_type'],
hunt_criteria['player'],
item['resource_id']),
level='debug')
return num_bids
def common_hunt(obj,
name,
hunt_criteria,
strategy,
price=0,
max_item_bids=10,
max_futbin_update=259200,
min_time_left=30,
max_time_left=420,
use_buy_percent=True,
min_profit=250,
fight=False,
use_max_buy=True,
max_prp=None,
sell_acquired_if_full=True,
prices_dict=None):
"""
hunt_criteria = {
'search_type': 'Players',
'player': player_id,
'quality': None,
'position': None,
'chem_style': None,
'nation': None,
'league': None,
'club': None,
'min_bin': None,
'include': None,
'exclude': None,
}
"""
def bid_on_results(results, num_bids, max_buy):
if len(results) > 0:
to_bid = []
for r in results:
if min_time_left <= r['time_left'] <= max_time_left and (r['current_bid'] + Global.rounding_tiers[tier] <= max_buy or
(r['current_bid'] == r['start_price'] and r['start_price'] <= max_buy)) and \
(hunt_criteria['search_type'].lower() != 'players' or ((not include and hunt_criteria['player'] == r['resource_id'])
or (r['resource_id'] in include))):
to_bid.append(r)
if len(to_bid) == 0:
multi_log(obj, 'Nothing worth bidding on', level='yellow')
else:
if use_max_buy:
sorted_bids = sorted(to_bid, key=itemgetter('time_left'))
else:
sorted_bids = sorted(to_bid, key=itemgetter('current_bid'))
for item in sorted_bids:
try:
futbin_price, updated = info.get_price(
item['resource_id'], return_updated=True)
if updated > max_futbin_update:
continue
result_tier = info.get_tier(futbin_price)
result_buy_percent = obj.bin_settings[result_tier][
'buy_percent']
if strategy != 'acquire' and strategy != 'price_fix':
if not use_buy_percent:
max_buy = info.round_down(
(futbin_price * 0.95 * dynamic_profit(obj)
* obj.bin_settings[result_tier]
['sell_percent']) - min_profit,
Global.rounding_tiers[result_tier])
else:
max_buy = info.round_down(
(futbin_price * result_buy_percent *
dynamic_profit(obj)),
Global.rounding_tiers[result_tier])
except (KeyError, TypeError):
continue
if num_bids < max_item_bids:
if use_max_buy:
my_bid = max_buy
elif strategy == 'acquire' and not use_max_buy:
my_bid = max_buy - (
2 * obj.bin_settings[result_tier]['spread'])
else:
my_bid = min(
max_buy, item['current_bid'] +
Global.rounding_tiers[result_tier])
if item['current_bid'] + Global.rounding_tiers[
result_tier] <= my_bid or (
item['current_bid'] == item['start_price']
and item['current_bid'] <= my_bid):
try:
bid_result = obj.bid(item, my_bid)
if bid_result == 'limit':
return 'limit'
elif bid_result:
num_bids += 1
if num_bids >= max_item_bids:
break
except StaleElementReferenceException:
pass
except Exception as e:
multi_log(obj,
'[{}]: Hunt BID error: {}'.format(
strategy, e),
level='error')
continue
else:
multi_log(
obj,
'HUNT PRICING ERROR: STRATEGY: {} | r[bnp]: {} | max: {} | len(res): {} |\
crit[type]: {} | player: {} | result: {}'
.format(strategy, item['buy_now_price'],
my_bid, len(search_results),
hunt_criteria['search_type'],
hunt_criteria['player'],
item['resource_id']),
level='debug')
return num_bids
check_sleep(obj)
include = hunt_criteria.get('include', [])
if not include:
include = []
if (hunt_criteria.get('player', False) and int(hunt_criteria['player']) <=
300000) and (hunt_criteria['quality']
and hunt_criteria['quality'].lower() == 'special'):
special_ids = info.get_special_ids(hunt_criteria['player'])
for s in list(special_ids.values()):
if int(s) >= 300000:
include.append(s)
include.append(info.get_base_id(hunt_criteria['player']))
include.append(hunt_criteria.get('player', None))
else:
bids = 0
if hunt_criteria.get('player', False) and price == 0:
price_data = info.get_price(hunt_criteria['player'],
obj=obj,
return_updated=True,
return_prp=True)
if price_data == 0:
return 0
price = price_data[0]
updated = price_data[1]
prp = price_data[2]
else:
updated = None
prp = None
if obj.get_credits() > price and (not updated
or updated <= max_futbin_update) and (
not max_prp or prp <= max_prp):
tier = info.get_tier(price)
profit_buy_percent = obj.bin_settings[tier]['buy_percent']
if hunt_criteria.get('max_buy', None):
price = hunt_criteria['max_buy']
hunt_criteria = {
k: v
for k, v in hunt_criteria.items() if k != 'max_buy'
}
else:
price = info.round_down(price, Global.rounding_tiers[tier])
if strategy != 'acquire' and strategy != 'price_fix' and 'consumable' not in strategy:
if not use_buy_percent:
max_buy = info.round_down(
(price * 0.95 * dynamic_profit(obj) *
obj.bin_settings[tier]['sell_percent']) - min_profit,
Global.rounding_tiers[tier])
else:
max_buy = info.round_down(
(price * profit_buy_percent * dynamic_profit(obj)),
Global.rounding_tiers[tier])
else:
max_buy = price
multi_log(
obj, '[{}]: Hunting for {} at {}.'.format(strategy.title(), name,
max_buy))
longest_time_left = 0
hunt_criteria = {
k: v
for k, v in hunt_criteria.items() if k != 'max_buy'
}
search_results = obj.search(max_buy=max_buy, **hunt_criteria)
while longest_time_left < min_time_left:
if len(search_results) == 0:
multi_log(obj, 'Nothing worth bidding on', level='yellow')
break
else:
longest_time_left = search_results[-1]['time_left']
if longest_time_left < min_time_left:
try:
nav_bar = obj.__get_class__('pagingContainer',
as_list=False)
except (ElementNotVisibleException, NoSuchElementException,
TimeoutException):
nav_bar = obj.__get_class__('mainHeader',
as_list=False)
try:
next_btn = nav_bar.find_element_by_class_name('next')
obj.__click_element__(next_btn)
obj.keep_alive(Global.micro_max)
search_results = obj.__get_items__(get_price=True)
except (ElementNotVisibleException, NoSuchElementException,
TimeoutException, StaleElementReferenceException):
break
else:
break
bids = bid_on_results(search_results, bids, max_buy)
if bids == 'limit':
return 'limit'
elif type(bids) is str:
return bids
while bids < max_item_bids and longest_time_left <= max_time_left:
try:
nav_bar = obj.__get_class__('pagingContainer', as_list=False)
except (ElementNotVisibleException, NoSuchElementException,
TimeoutException):
nav_bar = obj.__get_class__('mainHeader', as_list=False)
try:
next_btn = nav_bar.find_element_by_class_name('next')
errors = obj.__check_for_errors__()
if errors == 'limit':
return 'limit'
obj.__click_element__(next_btn)
obj.keep_alive(Global.micro_max)
search_results = obj.__get_items__(get_price=True)
least_time_left = search_results[0]['time_left']
longest_time_left = search_results[-1]['time_left']
if least_time_left > max_time_left:
break
amt_bids = bid_on_results(search_results, bids, max_buy)
if amt_bids == 'limit':
return 'limit'
else:
try:
bids += amt_bids
except TypeError:
pass
if longest_time_left > max_time_left:
break
except (ElementNotVisibleException, NoSuchElementException,
TimeoutException):
break
print(' ')
if fight:
common_fight(obj, strategy, use_buy_percent, min_profit)
return bids
def buy_results(search_results, bought, let_items_refresh, price, max_bin):
if 0 < len(search_results) <= max_results:
if len(search_results) > 0 and strategy == 'acquire':
sorted_results = sorted(search_results,
key=itemgetter('buy_now_price'))
search_results = sorted_results
else:
sorted_results = search_results[::-1]
search_results = sorted_results
for result in search_results:
if prices_dict:
try:
price = prices_dict[result['resource_id']]
except KeyError:
break
if not use_buy_percent:
max_bin = info.round_down(
(price * 0.95 * dynamic_profit(obj) *
obj.bin_settings[tier]['sell_percent']) -
min_profit, Global.rounding_tiers[tier])
else:
max_bin = info.round_down(
(price * profit_buy_percent * dynamic_profit(obj)),
Global.rounding_tiers[tier])
if bought < max_item_buys and result['buy_now_price'] <= max_bin and len(search_results) <= max_results \
and (snipe_criteria['search_type'].lower() != 'players' or
((not include and snipe_criteria['player'] == result['resource_id']) or (include and result['resource_id'] in include)) or
(not include and not snipe_criteria['player'])):
# Buy
try:
if not sell_price:
result_bought = obj.buy_now(
result,
strategy=strategy,
expected_profit=(
(price * 0.95 *
obj.bin_settings[tier]['sell_percent']) -
result['buy_now_price']))
else:
result_bought = obj.buy_now(
result,
strategy=strategy,
expected_profit=(
(sell_price * 0.95 *
obj.bin_settings[tier]['sell_percent']) -
result['buy_now_price']))
if result_bought:
bought += 1
let_items_refresh = obj.settings[
'pause_after_successful_snipe']
if bought % 5 == 0:
sell_players(obj, bought)
else:
if let_items_refresh == 0:
let_items_refresh = obj.settings[
'pause_after_unsuccessful_snipe']
multi_log(obj,
'[{}]: Got out-sniped for: {}'.format(
strategy, result['item_name']),
level='warn')
except Exception as e:
multi_log(obj,
'[{}]: Snipe BUY error: {}'.format(
strategy, e),
level='error')
continue
else:
multi_log(
obj,
'SNIPE PRICING ERROR: STRATEGY: {} | bought: {} | max: {} | r[bnp]: {} | max: {} | len(res): {} |\
crit[type]: {} | player: {} | result: {}'.
format(strategy, bought, max_item_buys,
result['buy_now_price'], max_bin,
len(search_results),
snipe_criteria['search_type'],
snipe_criteria['player'],
result['resource_id']),
level='debug')
return bought, let_items_refresh
def sell_players(o, b):
if prices_dict:
o.go_to('unassigned')
finished_items = o.__get_items__(get_price=True)
for item in finished_items:
if sell_acquired_if_full:
if strategy != 'acquire':
# Sell bought players
if b > 0:
if snipe_criteria['player']:
if item['resource_id'] == str(
snipe_criteria['player']
) and item['bid_status'] == 'won':
if not sell_price:
sell_tier = info.get_tier(
item['futbin_price'])
bin_price = info.round_down(
item['futbin_price'] *
o.bin_settings[sell_tier]
['sell_percent'],
Global.rounding_tiers[tier])
else:
bin_price = sell_price
player_tier = info.get_tier(bin_price)
start_price = bin_price - o.bin_settings[
player_tier]['spread']
sell_result = o.sell(item, start_price,
bin_price)
if sell_result == 'full':
common_deal_with_full_transfer_list(
o, strategy)
elif (not include or item['resource_id']
in include) and item['bid_status'] == 'won':
player_tier = info.get_tier(item['futbin_price'])
if not sell_price:
bin_price = info.round_down(
item['futbin_price'] *
o.bin_settings[player_tier]
['sell_percent'],
Global.rounding_tiers[tier])
else:
bin_price = sell_price
start_price = bin_price - o.bin_settings[
player_tier]['spread']
sell_result = o.sell(item, start_price, bin_price)
if sell_result == 'full':
common_deal_with_full_transfer_list(
o, strategy)
else:
if item['bid_status'] == 'won':
send_result = o.send_to_club(item=item,
strategy='acquire')
if send_result == 'owned':
futbin_price = info.get_price(
item['resource_id'], o)
player_tier = info.get_tier(futbin_price)
bin_price = info.round_down(
item['futbin_price'] *
o.bin_settings[player_tier]['sell_percent'],
Global.rounding_tiers[tier])
spread = o.bin_settings[player_tier]['spread']
sell_result = o.sell(item=item,
start_price=bin_price -
spread,
bin_price=bin_price)
if sell_result == 'full':
common_deal_with_full_transfer_list(
o, strategy)
o.keep_alive(Global.micro_min)
return bought
elif snipe_criteria['player'] and item['resource_id'] == str(
snipe_criteria['player']) and item['bid_status'] == 'won':
obj.send_to_transfer_list(item)
o.keep_alive(Global.micro_max)
def common_snipe(obj,
name,
snipe_criteria,
strategy,
price=0,
max_item_buys=10,
max_tries=10,
max_futbin_update=60 * 60 * 24 * 3,
max_results=5,
use_buy_percent=False,
min_profit=300,
sell_price=None,
max_prp=None,
sell_acquired_if_full=True,
prices_dict=None):
"""
snipe_criteria = {
'search_type': 'Players',
'player': player_id,
'quality': None,
'position': None,
'chem_style': None,
'nation': None,
'league': None,
'club': None,
'min_bin': None,
'include': None,
'exclude': None,
}
"""
def sell_players(o, b):
if prices_dict:
o.go_to('unassigned')
finished_items = o.__get_items__(get_price=True)
for item in finished_items:
if sell_acquired_if_full:
if strategy != 'acquire':
# Sell bought players
if b > 0:
if snipe_criteria['player']:
if item['resource_id'] == str(
snipe_criteria['player']
) and item['bid_status'] == 'won':
if not sell_price:
sell_tier = info.get_tier(
item['futbin_price'])
bin_price = info.round_down(
item['futbin_price'] *
o.bin_settings[sell_tier]
['sell_percent'],
Global.rounding_tiers[tier])
else:
bin_price = sell_price
player_tier = info.get_tier(bin_price)
start_price = bin_price - o.bin_settings[
player_tier]['spread']
sell_result = o.sell(item, start_price,
bin_price)
if sell_result == 'full':
common_deal_with_full_transfer_list(
o, strategy)
elif (not include or item['resource_id']
in include) and item['bid_status'] == 'won':
player_tier = info.get_tier(item['futbin_price'])
if not sell_price:
bin_price = info.round_down(
item['futbin_price'] *
o.bin_settings[player_tier]
['sell_percent'],
Global.rounding_tiers[tier])
else:
bin_price = sell_price
start_price = bin_price - o.bin_settings[
player_tier]['spread']
sell_result = o.sell(item, start_price, bin_price)
if sell_result == 'full':
common_deal_with_full_transfer_list(
o, strategy)
else:
if item['bid_status'] == 'won':
send_result = o.send_to_club(item=item,
strategy='acquire')
if send_result == 'owned':
futbin_price = info.get_price(
item['resource_id'], o)
player_tier = info.get_tier(futbin_price)
bin_price = info.round_down(
item['futbin_price'] *
o.bin_settings[player_tier]['sell_percent'],
Global.rounding_tiers[tier])
spread = o.bin_settings[player_tier]['spread']
sell_result = o.sell(item=item,
start_price=bin_price -
spread,
bin_price=bin_price)
if sell_result == 'full':
common_deal_with_full_transfer_list(
o, strategy)
o.keep_alive(Global.micro_min)
return bought
elif snipe_criteria['player'] and item['resource_id'] == str(
snipe_criteria['player']) and item['bid_status'] == 'won':
obj.send_to_transfer_list(item)
o.keep_alive(Global.micro_max)
def buy_results(search_results, bought, let_items_refresh, price, max_bin):
if 0 < len(search_results) <= max_results:
if len(search_results) > 0 and strategy == 'acquire':
sorted_results = sorted(search_results,
key=itemgetter('buy_now_price'))
search_results = sorted_results
else:
sorted_results = search_results[::-1]
search_results = sorted_results
for result in search_results:
if prices_dict:
try:
price = prices_dict[result['resource_id']]
except KeyError:
break
if not use_buy_percent:
max_bin = info.round_down(
(price * 0.95 * dynamic_profit(obj) *
obj.bin_settings[tier]['sell_percent']) -
min_profit, Global.rounding_tiers[tier])
else:
max_bin = info.round_down(
(price * profit_buy_percent * dynamic_profit(obj)),
Global.rounding_tiers[tier])
if bought < max_item_buys and result['buy_now_price'] <= max_bin and len(search_results) <= max_results \
and (snipe_criteria['search_type'].lower() != 'players' or
((not include and snipe_criteria['player'] == result['resource_id']) or (include and result['resource_id'] in include)) or
(not include and not snipe_criteria['player'])):
# Buy
try:
if not sell_price:
result_bought = obj.buy_now(
result,
strategy=strategy,
expected_profit=(
(price * 0.95 *
obj.bin_settings[tier]['sell_percent']) -
result['buy_now_price']))
else:
result_bought = obj.buy_now(
result,
strategy=strategy,
expected_profit=(
(sell_price * 0.95 *
obj.bin_settings[tier]['sell_percent']) -
result['buy_now_price']))
if result_bought:
bought += 1
let_items_refresh = obj.settings[
'pause_after_successful_snipe']
if bought % 5 == 0:
sell_players(obj, bought)
else:
if let_items_refresh == 0:
let_items_refresh = obj.settings[
'pause_after_unsuccessful_snipe']
multi_log(obj,
'[{}]: Got out-sniped for: {}'.format(
strategy, result['item_name']),
level='warn')
except Exception as e:
multi_log(obj,
'[{}]: Snipe BUY error: {}'.format(
strategy, e),
level='error')
continue
else:
multi_log(
obj,
'SNIPE PRICING ERROR: STRATEGY: {} | bought: {} | max: {} | r[bnp]: {} | max: {} | len(res): {} |\
crit[type]: {} | player: {} | result: {}'.
format(strategy, bought, max_item_buys,
result['buy_now_price'], max_bin,
len(search_results),
snipe_criteria['search_type'],
snipe_criteria['player'],
result['resource_id']),
level='debug')
return bought, let_items_refresh
check_sleep(obj)
include = snipe_criteria.get('include', [])
if not include:
include = []
if (snipe_criteria['player'] and int(snipe_criteria['player']) <= 300000
) or (snipe_criteria['quality']
and snipe_criteria['quality'].lower() == 'special'):
if include:
special_ids = {}
for i in include:
add_ids = info.get_special_ids(i)
for k, v in add_ids.items():
special_ids[k] = v
elif snipe_criteria['player']:
special_ids = info.get_special_ids(snipe_criteria['player'])
for s in list(special_ids.values()):
include.append(s)
bought = 0
if not prices_dict:
if snipe_criteria['player'] and price == 0:
price_data = info.get_price(snipe_criteria['player'],
obj=obj,
return_updated=True,
return_prp=True)
if price_data == 0:
return 0
price = price_data[0]
updated = price_data[1]
prp = price_data[2]
else:
# TODO: Update this when implementing non-player searches
prp = None
updated = None
else:
if not price:
price = max(list(prices_dict.values()))
updated = None
prp = None
max_results = 9999999
if obj.get_credits() > price and (not updated
or updated <= max_futbin_update) and (
not max_prp or prp <= max_prp):
tier = info.get_tier(price)
profit_buy_percent = obj.bin_settings[tier]['buy_percent']
if strategy != 'acquire' and strategy != 'price_fix':
if not use_buy_percent:
max_bin = info.round_down(
(price * 0.95 * dynamic_profit(obj) *
obj.bin_settings[tier]['sell_percent']) - min_profit,
Global.rounding_tiers[tier])
else:
max_bin = info.round_down(
(price * profit_buy_percent * dynamic_profit(obj)),
Global.rounding_tiers[tier])
else:
max_bin = price
multi_log(
obj, '[{}]: Sniping for {} at {}.'.format(strategy.title(), name,
max_bin))
i = max_tries
reset = True
while i > 0:
let_items_refresh = 0
if i == max_tries:
search_results = obj.search(max_bin=max_bin,
reset=reset,
**snipe_criteria)
reset = False
elif i == 1:
search_results = obj.search(max_bin=max_bin, **snipe_criteria)
else:
search_results = obj.search(max_bin=max_bin,
reset=reset,
**snipe_criteria)
reset = False
if not prices_dict:
bought, let_items_refresh = buy_results(
search_results, bought, let_items_refresh, price, max_bin)
else:
while True:
try:
nav_bar = obj.__get_class__('pagingContainer',
as_list=False)
except (ElementNotVisibleException, NoSuchElementException,
TimeoutException):
nav_bar = obj.__get_class__('mainHeader',
as_list=False)
try:
next_btn = nav_bar.find_element_by_class_name('next')
obj.__click_element__(next_btn)
obj.keep_alive(Global.micro_min)
except (ElementNotVisibleException, NoSuchElementException,
TimeoutException):
break
search_results = obj.__get_items__(get_price=False)
bought, let_items_refresh = buy_results(
search_results, bought, let_items_refresh, price, max_bin)
while search_results[1]['time_left'] > 58 * 60:
try:
nav_bar = obj.__get_class__('pagingContainer',
as_list=False)
except (ElementNotVisibleException, NoSuchElementException,
TimeoutException):
nav_bar = obj.__get_class__('mainHeader',
as_list=False)
try:
prev_btn = nav_bar.find_element_by_class_name('prev')
obj.__click_element__(prev_btn)
obj.keep_alive(Global.micro_min)
except (ElementNotVisibleException, NoSuchElementException,
TimeoutException):
break
search_results = obj.__get_items__(get_price=False)
bought, let_items_refresh = buy_results(
search_results, bought, let_items_refresh, price,
max_bin)
i -= 1
if len(search_results) > max_results:
multi_log(
obj,
'Too many results returned. Max BIN is probably set too high'
)
return 'too many'
elif len(search_results) == 0 and i == 0:
multi_log(obj, 'No good deals found', level='yellow')
if bought > 0:
sell_players(obj, bought)
if bought >= max_item_buys:
return bought
if let_items_refresh > 0:
multi_log(
obj,
'Pausing to ensure we don\'t try bidding on the same items',
level='debug')
obj.keep_alive(
let_items_refresh
) # Making sure server refreshes results so we don't try buying it again. Can throw an error otherwise
reset = True
print(' ')
return bought
def check_transfer_targets():
if obj.location != 'transfer_targets':
obj.go_to('transfer_targets')
multi_log(obj, 'Waiting on last bid to expire')
while True:
max_expire = 0
watched_items = obj.__get_items__(
p_element='../..',
p_type='xpath',
gp_element="//*[contains(text(), 'Watched Items')]",
gp_type='xpath',
get_price=False)
if len(watched_items) == 0:
break
for item in watched_items:
if item['time_left'] > max_expire:
max_expire = item['time_left']
obj.keep_alive(max_expire + 5)
expired_bids = obj.__get_items__(
p_element='../..',
p_type='xpath',
gp_element="//*[contains(text(), 'Expired Items')]",
gp_type='xpath',
get_price=False)
expired = {}
for expired_bid in expired_bids:
if expired_bid['asset_id'] not in list(expired.keys()):
expired[expired_bid['asset_id']] = {
'bid_amounts': 0,
'num_results': 0
}
expired[expired_bid['asset_id']]['bid_amounts'] += expired_bid[
'current_bid']
expired[expired_bid['asset_id']]['num_results'] += 1
return_players = []
for asset, data in expired.items():
futbin_price = info.get_price(asset)
tier = info.get_tier(futbin_price)
rounding = Global.rounding_tiers[tier]
average_bid = info.round_down(
data['bid_amounts'] / data['num_results'], rounding)
coins_from_sale = futbin_price * 0.95
potential_profit = coins_from_sale - average_bid
if settings[
'use_buy_percent'] and potential_profit >= coins_from_sale - (
futbin_price * obj.bin_settings['buy_percent']):
return_players.append({
'asset_id':
asset,
'name':
info.get_player_info(asset, False)['name'],
'bid':
average_bid,
'futbin':
futbin_price
})
elif potential_profit >= settings['min_profit']:
return_players.append({
'asset_id':
asset,
'name':
info.get_player_info(asset, False)['name'],
'bid':
average_bid,
'futbin':
futbin_price
})
for player_data in return_players:
name = info.get_player_info(player_data['asset_id'], False)['name']
multi_log(
obj, '{}\'s Average Bid: {} | Futbin price: {}'.format(
name, player_data['bid'], player_data['futbin']))
obj.clear_expired()
return return_players
def filter_snipe(obj):
obj.current_strategy = 'Filter Snipe'
temp_settings = obj.strategy_settings['filter_snipe']
filters = temp_settings['filters']
max_price = temp_settings['max_price']
remove_keys = ['max_price', 'filters']
settings = {k: v for k, v in temp_settings.items() if k not in remove_keys}
multi_log(obj, 'Filter Sniping...', level='title')
for f in filters:
multi_log(obj, 'Getting filter data...')
futbin_url = create_futbin_url(obj, f)
obj.new_tab(futbin_url)
obj.location = 'futbin'
# Grab all data from tables, hit next page until it can't any more, turn data into list of player dicts
all_results = parse_futbin_tables(obj, futbin_url, True, False)
multi_log(obj, 'Done getting filter data')
obj.close_tab()
obj.driver.switch_to.window(obj.driver.window_handles[0])
obj.location = 'home'
include = []
max_bin = 999999999999
for result in all_results:
if result['price'] != 0 and result['resource_id'] not in f.get(
'exclude', []):
include.append(result['resource_id'])
if result['price'] < max_bin:
max_bin = result['price']
tier = info.get_tier(max_bin)
if not settings['use_buy_percent']:
search_price = info.round_down(
(max_bin * 0.95 * dynamic_profit(obj) *
obj.bin_settings[tier]['sell_percent']) -
settings['min_profit'], Global.rounding_tiers[tier])
else:
search_price = info.round_down(
(max_bin * obj.bin_settings[tier]['buy_percent'] *
dynamic_profit(obj)), Global.rounding_tiers[tier])
if obj.get_credits(
) > max_bin and search_price <= max_bin <= max_price:
try:
snipe_criteria = {
'search_type': 'Players',
'player': None,
'quality': f.get('quality', None),
'position': f.get('position', None),
'chem_style': f.get('chem_style', None),
'nation': f.get('nation', None),
'league': f.get('league', None),
'club': f.get('club', None),
'include': include,
'exclude': f.get('exclude', None),
}
except ValueError:
continue
name = list(f.values())
common_snipe(obj,
name=name,
snipe_criteria=snipe_criteria,
strategy='filter_snipe',
price=max_bin,
**settings)
def common_process_transfer_targets(obj,
strategy,
remaining_players=None,
acquired=None,
sell_price=None,
sell_acquired_if_full=True):
if obj.location != 'transfer_targets':
obj.go_to('transfer_targets')
winnings = obj.__get_items__(
p_element='../..',
p_type='xpath',
gp_element="//*[contains(text(), 'Won Items')]",
gp_type='xpath',
get_price=True)
for won in winnings:
send_result = ''
if strategy == 'acquire':
acquired.append((won['item_name'], won['current_bid']))
for i, player_id in enumerate(remaining_players):
if str(player_id) == str(won['resource_id']):
remaining_players.pop(i)
break
send_result = obj.send_to_club(item=won, strategy='acquire')
multi_log(obj=obj,
message='Won {} for {}'.format(won['item_name'],
won['current_bid']),
level='green',
notify=True,
title='Item won',
icon_url=won['image'])
if strategy != 'acquire' or send_result == 'owned' and sell_acquired_if_full:
if not sell_price:
futbin_price = won['futbin_price']
elif type(sell_price) is dict:
futbin_price = sell_price[won['item_name']]
else:
futbin_price = sell_price
tier = info.get_tier(futbin_price)
if strategy != 'price_fix':
futbin_price = info.round_down(
futbin_price * obj.bin_settings[tier]['sell_percent'],
Global.rounding_tiers[tier])
else:
for num, pf_player in obj.strategy_settings['price_fix'][
'players'].items():
if str(pf_player['resource_id']) == str(
won['resource_id']):
futbin_price = pf_player['sell_price']
break
start_price = futbin_price - obj.bin_settings[tier]['spread']
multi_log(obj=obj,
message='Won {} for {}'.format(won['item_name'],
won['current_bid']),
level='green',
notify=True,
title='Item won',
icon_url=won['image'])
database.bought_sold(
obj,
won,
'bought',
strategy,
won['current_bid'],
expected_profit=((futbin_price * 0.95 *
obj.bin_settings[tier]['sell_percent']) -
won['current_bid']))
try:
sell_result = obj.sell(won, start_price, futbin_price)
if sell_result == 'full':
common_deal_with_full_transfer_list(obj, strategy)
except TimeoutException:
try:
obj.__get_xpath__(
"//*[contains(text(), 'Transfer list full')]")
common_deal_with_full_transfer_list(obj, strategy)
except TimeoutException:
pass
elif send_result == 'owned' and not sell_acquired_if_full:
obj.send_to_transfer_list(won)
obj.clear_expired()
return remaining_players, acquired
def acquire(obj, player_list, futbin_multiplier, increase_each_round=False, max_increases=5, sell_acquired_if_full=True, special_only=False):
obj.current_strategy = 'Acquire'
snipe_settings = obj.strategy_settings['acquire']['snipe']
hunt_settings = obj.strategy_settings['acquire']['hunt']
if type(player_list) is not list:
new = [player_list]
player_list = new
if special_only:
quality = 'Special'
else:
quality = None
multi_log(obj, 'Acquiring Players...', level='title')
# Go through player lists
remaining_players = player_list
acquired = []
iteration = 1
while len(remaining_players) > 0:
bids = 0
search_list = []
if iteration > 1:
snipe_settings['max_results'] = 9999999
print('{:<30} {:<20} {:<20}'.format('Name', 'Futbin Price', 'Asset ID'))
for player in remaining_players:
player_info = info.get_player_info(player, include_futbin_price=True)
print('{:<30} {:<20} {:<20}'.format(player_info['name'], player_info['futbin_price'], player))
search_list.append(player_info)
for player in search_list:
name = player['name']
futbin_price = player['futbin_price']
tier = info.get_tier(futbin_price)
max_bin = max(200, info.round_down(futbin_price * futbin_multiplier, Global.rounding_tiers[tier]))
if increase_each_round:
max_bin += Global.rounding_tiers[tier] * iteration
include = []
if quality and quality.lower() == 'special' and int(player['asset_id']) <= 300000:
special_ids = info.get_special_ids(player['asset_id'])
for s in list(special_ids.values()):
if int(s) >= 300000:
include.append(s)
include.append(info.get_base_id(player['asset_id']))
include.append(player.get('asset_id', None))
elif int(player['asset_id']) > 300000:
include.append(player['asset_id'])
include.append(info.get_base_id(player['asset_id']))
snipe_criteria = {
'search_type': 'Players',
'player': player['asset_id'],
'quality': quality,
'position': None,
'chem_style': None,
'nation': None,
'league': None,
'club': None,
'min_bin': None,
'include': include,
'exclude': None,
}
snipe_result = common_snipe(obj=obj, snipe_criteria=snipe_criteria, name=name, strategy='acquire', price=max_bin,
max_item_buys=1, sell_acquired_if_full=sell_acquired_if_full, **snipe_settings)
if snipe_result == 'too many':
multi_log(obj, 'Lots of results returned. Trying to get this cheaper by bidding...')
max_bin -= Global.rounding_tiers[tier]
elif snipe_result > 0:
acquired.append((name, max_bin))
for i, player_id in enumerate(remaining_players):
if str(player_id) == str(player['asset_id'] or str(player_id) in include):
remaining_players.pop(i)
break
continue
if obj.get_credits() > player['futbin_price']:
num_bids = common_hunt(obj=obj, name=name, hunt_criteria=snipe_criteria, price=max_bin, strategy='acquire', max_item_bids=1, **hunt_settings)
if num_bids == 'limit':
common_wait_to_expire(obj, 'acquire', remaining_players, acquired, sell_acquired_if_full=sell_acquired_if_full)
break
elif num_bids == 'owned' or num_bids == 'sniped':
acquired.append((name, max_bin))
for i, player_id in enumerate(remaining_players):
if str(player_id) == str(player['asset_id']) or str(player_id) in include:
remaining_players.pop(i)
break
else:
bids += num_bids
if bids > 0:
remaining_players, acquired = common_wait_to_expire(obj, 'acquire', remaining_players, acquired, sell_acquired_if_full=sell_acquired_if_full)
if increase_each_round and iteration <= max_increases:
iteration += 1
if len(remaining_players) > 0:
multi_log(obj, message='Increasing search price by {} step(s)'.format(min(iteration, max_increases)))
multi_log(obj, message='Got all players!', level='green', notify=True, title='DONE')
print('Acquired:')
print('-' * 50)
print('{:<30} {:<6}'.format('Name', 'Price'))
for player in acquired:
print('{:<30} {:<6}'.format(player[0], player[1]))
return 'done'
def sell_club_players(obj, search='all', min_sell_bronze=300, min_sell_silver=400, min_sell_gold=800, rare_multiplier=1.35, exclude=None):
obj.current_strategy = 'Sell Club Players'
if not exclude:
exclude = []
if obj.location != 'players':
obj.go_to('players')
if search != 'all':
search_button = obj.__get_class__('searchAction', as_list=False)
obj.__click_element__(search_button)
search = search.title()
search_panel = obj.__get_class__('searchContainer', as_list=False)
quality_dropdown = search_panel.find_element_by_xpath(".//*[contains(text(), 'Quality')]")
obj.__click_element__(quality_dropdown)
quality_parent = quality_dropdown.find_element_by_xpath('..')
obj.__check_for_errors__()
quality_parent.find_element_by_xpath(".//*[contains(text(), '{}')]".format(search)).click()
button_bar = obj.__get_class__('layout-flex-bar', as_list=False)
obj.__click_element__(button_bar.find_element_by_xpath(".//*[contains(text(), 'Search')]"))
obj.location = 'club_search_results'
multi_log(obj, 'Getting {} club players. This takes approx. 1 minute per 100 players'.format(search))
while True:
obj.keep_alive(Global.small_max)
page_players = obj.__get_items__(get_price=False)
for player in page_players:
futbin_data = info.get_price(player['asset_id'], obj, True)
if futbin_data != 0:
updated = futbin_data[1]
price = futbin_data[0]
if updated > 8 * 60 * 60 or price == 0:
continue
if player['quality'] == 'bronze' and price >= min_sell_bronze and player['asset_id'] not in exclude:
min_price = min_sell_bronze
if player['rare']:
min_price *= rare_multiplier
elif player['quality'] == 'silver' and price >= min_sell_silver and player['asset_id'] not in exclude:
min_price = min_sell_silver
if player['rare']:
min_price *= rare_multiplier
elif player['quality'] == 'gold' and price >= min_sell_gold and player['asset_id'] not in exclude:
min_price = min_sell_gold
if player['rare']:
min_price *= rare_multiplier
else:
continue
if price > min_price:
player_list = obj.driver.find_elements_by_class_name('listFUTItem')
for e in player_list:
if parse.remove_accents(e.find_element_by_class_name('name').text) == player['item_name'] and not player['loan']:
e.click()
break
panel = obj.__get_class__('DetailView', as_list=False, timeout=Global.micro_min)
try:
panel.find_element_by_xpath(".//*[contains(text(), 'This item cannot be traded')]")
except (NoSuchElementException, TimeoutException):
tier = info.get_tier(price)
bin_price = int(max(min_price, info.round_down(price * obj.bin_settings[tier]['sell_percent'], Global.rounding_tiers[tier])))
start_price = bin_price - obj.bin_settings[tier]['spread']
result = actions.sell(obj, player, start_price, bin_price)
if result == 'full':
return
obj.keep_alive(Global.micro_max)
try:
nav_bar = obj.__get_class__('pagingContainer', as_list=False)
except (ElementNotVisibleException, NoSuchElementException, TimeoutException):
nav_bar = obj.__get_class__('mainHeader', as_list=False)
try:
next_btn = nav_bar.find_element_by_class_name('next')
obj.__click_element__(next_btn)
except (ElementNotVisibleException, NoSuchElementException, TimeoutException):
multi_log(obj, 'Done selling club players')
break