def __init__(self):
self.selling = False
self.buying = False
self.pull_cap = 5000000
self.sleep_time = 60
self.cr_limit = 5000000
self.ene_limit = 5000000
self.spend_on = 'store'
self.tax = 0.05
self.ranger_rines_ratio = [0, 1]
self.spy_ratio = [0, 1, 0]
self.build_order = ['spies']
self.buy_order = ['huc', 'auc']
self.unit_prices = {
'ranger': np.asarray([188, 60, 50, 0]),
'buc': np.asarray([880, 200, 120, 0]),
'spies': np.asarray([160, 120, 0, 8])
}
self.api = SynAPI()
self.db = Database()
def __init__(self):
self.api = SynAPI()
self.db = Database()
# mean, sigma of normal distribution
# of sleeping time in seconds
self.sleep_time = (30, 1)
# night_mode -> to handle tasks before bot goes into sleep mode
self.night_mode = False
self.night_sleep_time = 3 * 3600
# check if owner stats changed
self.last_owner_stats = None
# active determines if jobs are carried out
self.active = True
self.jobs = []
self.last_hour = -1
self.hourly_job_minute = 1
self.hourly_jobs = []
from api import SynAPI
from time import sleep
from datetime import datetime
import numpy as np
from intelligence.optimize import seller_optimizer, area_optimizer
# Where to put left over credits
put_money = 'ha'
limit = 1000000
if __name__ == '__main__':
api = SynAPI()
last_stats = None
for i in xrange(9000000):
stats = api.get_owner_stats()
if stats != last_stats:
print(datetime.strftime(datetime.now(), "%H:%M"), stats)
last_stats = stats
if stats['credits'] > limit and (stats['capas_military'] > 0 or stats['capas_carrier'] > 0 or stats['capas_spies'] > 0):
storage_resources = api.get_store_resources()
gm_resources = api.get_gm_resources()
# where to pick which resource -> [energy, erz, fp]
# from gm or from store?
res_names = ['energy', 'erz', 'fp']
class SellerStatsBot(object):
def __init__(self):
self.selling = False
self.buying = False
self.pull_cap = 5000000
self.sleep_time = 60
self.cr_limit = 5000000
self.ene_limit = 5000000
self.spend_on = 'store'
self.tax = 0.05
self.ranger_rines_ratio = [0, 1]
self.spy_ratio = [0, 1, 0]
self.build_order = ['spies']
self.buy_order = ['huc', 'auc']
self.unit_prices = {
'ranger': np.asarray([188, 60, 50, 0]),
'buc': np.asarray([880, 200, 120, 0]),
'spies': np.asarray([160, 120, 0, 8])
}
self.api = SynAPI()
self.db = Database()
def run(self):
# selling and buying should exclude each other here
# in future this shouldn't be the case -> spyseller & prodder e.g.
# then pull_cap == cr_limit?!
# add hourly tasks -> click boni + building gebs
if self.selling and self.buying:
raise Exception('Improperly configured')
last_log = self.parse_last_log()
last_full_capas_hour = -1
log_minute = 2
last_stats = None
active_building = False
# convert ratios into percentage ratios
self.ranger_rines_ratio = np.asarray(list(map(
lambda x: round(x/sum(self.ranger_rines_ratio), 2),
self.ranger_rines_ratio
)))
self.spy_ratio = np.asarray(list(map(
lambda x: round(x/sum(self.spy_ratio), 2),
self.spy_ratio
)))
# rebuild units after selling, put left over credits in 'store' or 'ha'
# update database rankings, storage prices and shares
while True:
# # # Buying
if self.buying and dt.now().hour != last_full_capas_hour:
stats = self.api.get_owner_stats()
if stats != last_stats:
self.db.action_output(str(stats), dt.now())
last_stats = stats
if free_capas(stats, self.buy_order):
to_pull = self.pull_cap - stats['credits']
if to_pull > 0:
self.db.action_output('Pull {0}cr from syn'.format(to_pull), dt.now())
self.api.pull_syn_resources('credits', to_pull)
# if not enough credits withdrawn, take cr from store
stats = self.api.get_owner_stats()
to_pull = self.pull_cap - stats['credits']
if to_pull > 0:
self.db.action_output('Pull {0}cr from store'.format(to_pull), dt.now())
self.api.pull_store_resources('credits', to_pull)
else:
last_full_capas_hour = dt.now().hour
# # # SELLING
if self.selling:
stats = self.api.get_owner_stats()
if stats != last_stats:
self.db.action_output(str(stats), dt.now())
last_stats = stats
if stats['credits'] > self.cr_limit and free_capas(stats, self.build_order):
active_building = True
self.build_units(stats)
# if no units to build, use credits for new ha / store them
elif stats['credits'] > self.cr_limit:
if self.spend_on == 'store':
amount = stats['credits']-self.cr_limit
action = 'Store {0}cr'.format(amount)
self.api.store_resources('credits', amount)
elif self.spend_on == 'ha':
ha = area_optimizer(stats['credits'], self.api.get_area_cost())
action = 'Build {0}ha'.format(ha)
self.api.build_area(ha)
self.db.action_output(action, dt.now())
else:
active_building = False
# # # hourly jobs
# if new tick since last log
# give the server time for the next tick... then start logging etc
if last_log != dt.now().hour and dt.now().minute > log_minute and not active_building:
last_log = dt.now().hour
if not self.selling and not self.buying:
self.db.action_output('login', dt.now())
self.take_log()
stats = self.api.get_owner_stats()
if stats['energy'] > self.ene_limit:
amount = stats['energy'] - self.ene_limit
self.db.action_output('Store {0}energy'.format(amount), dt.now())
self.api.store_resources('energy', amount)
if not self.selling and not self.buying:
self.db.action_output('logout', dt.now())
self.api.logout()
if not active_building:
sleep(self.sleep_time)
def take_log(self):
date = dt.now()
self.db.action_output('start stats recording', date)
self.db.action_output('rankings...', date)
rankings = self.api.generate_rankings()
self.db.save_rankings(rankings, date)
date = dt.now()
self.db.action_output('storage...', date)
store = self.api.get_store_resources()
self.db.save_storage(store, date)
date = dt.now()
self.db.action_output('shares...', date)
shares = self.api.get_shares()
self.db.save_shares(shares, date)
date = dt.now()
self.db.action_output('spies...', date)
spies = self.api.get_suffered_spies()
self.db.save_spies(spies, date)
self.db.action_output('end stats recording', dt.now())
def build_units(self, stats):
owner_resources, volumes, ex_rates, resource_source = prepare_resources(
self.api.get_gm_resources(),
self.api.get_store_resources(),
stats,
self.tax
)
unit_price = None
unit = None
capas = None
for x in self.build_order:
tmp = select_capas(x)
if stats[tmp] > 0:
capas = tmp
unit = x
unit_price = self.unit_prices[unit]
break
if unit is not None:
amount, ressis = seller_optimizer(
owner_resources,
unit_price,
ex_rates,
stats[capas],
volumes,
resource_source
)
# get resources to rebuild units
for i in range(1, 4):
res = res_names[i-1]
source = resource_source[i-1]
price = round(ex_rates[i], 2)
quantity = ressis[i]
if quantity > 0:
self.db.action_output(
'Buy {0}{1} for {2} from {3}'.format(quantity, res, int(price*10), source),
dt.now()
)
if source == 'gm':
self.api.buy(res, quantity, int(price*10))
elif source == 'store':
# TO BE TESTED
self.api.store_resources('credits', calculate_taxed_cr(self.tax, quantity, price))
self.api.pull_store_resources(res, quantity)
# rebuild units
if unit == 'ranger':
tmp = split_units_per_ratio(amount, self.ranger_rines_ratio)
action = self.api.bulk_build_military(tmp, ['ranger', 'marine'])
elif unit == 'spies':
tmp = split_units_per_ratio(amount, self.spy_ratio)
print(tmp)
action = self.api.bulk_build_military(tmp, ['thief', 'guardian', 'agent'])
else:
action = 'Build {0} {1}s'.format(amount, unit)
self.api.build_military(unit, amount)
self.db.action_output(action, dt.now())
def parse_last_log(self):
last_log = self.db.get_last_log()
if (dt.now()-last_log).total_seconds() > 3600:
return -1
return last_log.hour
#!/usr/bin/env python
from time import sleep
from api import SynAPI
if __name__ == '__main__':
api = SynAPI()
for i in range(10):
api.take_bonus(2)
api.pull_store_resources('credits', 1000000)
api.build_buildings('lh', 8)
sleep(60*60)
class BaseBot(object):
def __init__(self):
self.api = SynAPI()
self.db = Database()
# mean, sigma of normal distribution
# of sleeping time in seconds
self.sleep_time = (30, 1)
# night_mode -> to handle tasks before bot goes into sleep mode
self.night_mode = False
self.night_sleep_time = 3 * 3600
# check if owner stats changed
self.last_owner_stats = None
# active determines if jobs are carried out
self.active = True
self.jobs = []
self.last_hour = -1
self.hourly_job_minute = 1
self.hourly_jobs = []
def print_owner_stats(self):
owner_stats = self.api.get_owner_stats()
if self.last_owner_stats != owner_stats:
self.last_owner_stats = owner_stats
self.db.action_output(str(self.last_owner_stats), dt.now())
def set_night_mode(self):
if 1 <= dt.now().hour < 2:
if not self.night_mode:
self.db.action_output('Enter night mode', dt.now())
self.night_mode = True
else:
if self.night_mode:
self.db.action_output('Exit night mode', dt.now())
self.night_mode = False
def human_sleep_time(self):
if self.night_mode:
return self.night_sleep_time
return abs(int(np.random.normal(self.sleep_time[0], self.sleep_time[1])))
def run(self):
while True:
# # # regular jobs
if self.active:
for job in self.jobs:
job()
# # # hourly jobs
if self.last_hour != dt.now().hour and dt.now().minute >= self.hourly_job_minute:
self.last_hour = dt.now().hour
if not self.active:
self.db.action_output('login', dt.now())
for job in self.hourly_jobs:
job()
if not self.active:
self.db.action_output('logout', dt.now())
self.api.logout()
sleep_time = self.human_sleep_time()
if self.night_mode:
# TODO: logout
self.db.action_output('Sleeping for {0}s'.format(sleep_time), dt.now())
sleep(sleep_time)
#!/usr/bin/env python
from api import SynAPI
from time import sleep
if __name__ == '__main__':
api = SynAPI()
# Auto storing
limit = 5000000
for i in range(300000):
stats = api.get_owner_stats()
print(i, stats)
if stats['credits'] > limit:
print('stored...')
api.store_resources('credits', stats['credits']-limit)
sleep(3)
api.session.save_session()
#!/usr/bin/env python
from __future__ import division
from time import sleep
import numpy as np
from api import SynAPI
if __name__ == '__main__':
api = SynAPI()
for i in range(10):
stats = api.get_owner_stats()
# cost of units
cost_huc = np.asarray([0, 700, 240, 96])
cost_spy = np.asarray([160, 120, 0, 8])
cost_buc = np.asarray([880, 200, 120, 0])
# sum of costs
cr = sum([
stats['capas_military']*cost_huc[0],
stats['capas_carrier']*cost_buc[0],
stats['capas_spies']*cost_spy[0],
-stats['credits']
])
ene = sum([
stats['capas_military']*cost_huc[1],
stats['capas_carrier']*cost_buc[1],
#!/usr/bin/env python
from api import SynAPI
from time import sleep
from intelligence.optimize import area_optimizer
if __name__ == '__main__':
api = SynAPI()
# Auto storing
limit = 1000000
for i in range(300000):
stats = api.get_owner_stats()
print(i, stats)
if stats['credits'] > limit:
ha = area_optimizer(stats['credits'], api.get_area_cost())
print('Build {0}ha'.format(ha))
api.build_area(ha)
sleep(3)
api.session.save_session()
#!/usr/bin/env python
from __future__ import division
from api import SynAPI
from time import sleep
if __name__ == '__main__':
api = SynAPI()
limit = 10000000
for i in range(300000):
stats = api.get_owner_stats()
print(i, stats)
if stats['credits'] > limit:
amount = stats['credits'] // 4000
api.buy_shares(5, amount)
sleep(3)
api.session.save_session()