def init_shock(self, name, limits, rounds, input_path, input_file_market_shock, output_path, session_name):
self.name = name
self.limits = limits
self.num_market_rounds = rounds
self.mkt = env.SpotEnvironmentModel() # instantiate environment object
self.da = ins.Auction('da', self.limits[0], self.limits[1]) # instantiate auction
self.load_market(input_path, input_file_market_shock, output_path, session_name, "SD After")
def init_spot_system_gui(self, name, limits, rounds, input_path, input_file, output_path, session_name):
self.name = name # session name
self.limits = limits # price ceiling and floor
self.num_market_rounds = rounds # total number of rounds to run
self.mkt = env.SpotEnvironmentModel() # instantiate environment object
self.da = ins.Auction('da', self.limits[0], self.limits[1]) # instantiate auction
self.load_market_gui(input_path, input_file, output_path, session_name, "SD Before") # loads market file from gui inputs
def prepare_traders(self, tn, mkt, limits):
d = {}
t = {}
if len(tn) != mkt.num_buyers + mkt.num_sellers:
print("tn = {} does not have the right length".format(tn))
for k in range(mkt.num_buyers + mkt.num_sellers):
t_id = "t" + str(k) # make trader id
t[t_id] = globals()[tn[k]]() # create object
t[t_id].name = t_id # set objects name
t[t_id].da = ins.Auction("da", limits[0], limits[1])
d[t_id] = {}
d[t_id]['units'] = 0 # keep track of units used
d[t_id]['earn'] = 0 # keep track of earnings
d[t_id]['strat'] = tn[k] # traders strategy
if k < mkt.num_buyers:
t[t_id].type = "buyer" # set objects type
t[t_id].values = mkt.get_buyer_values(k) # set objects values
d[t_id]['type'] = "B" # traders type
d[t_id]['values'] = mkt.get_buyer_values(k) # trader's values
else: # note seller index is trader_index - num_buyers
t[t_id].type = "seller" # set objects type
t[t_id].costs = mkt.get_seller_costs(
k - mkt.num_buyers) # set objects values
d[t_id]['type'] = "S" # traders type
d[t_id]['costs'] = mkt.get_seller_costs(
k - mkt.num_buyers) # trader's values
d["strategies"] = [k for k in set(tn)]
# get market efficiency
eqv = mkt.get_equilibrium(
) # (Price low, Price High Quantity, Maximum Surplus)
ep_low = eqv[0]
ep_high = eqv[1]
e_quantity = eqv[2]
maximum_surplus = eqv[3]
d["equilibrium"] = (ep_low, ep_high, e_quantity, maximum_surplus)
traders = [t[t_id] for t_id in t.keys()]
self.traders = [t[t_id] for t_id in t.keys()]
return d
# input - output and display options
input_path = "C:\\Users\\Summer17\\Desktop\\Repos\\DoubleAuctionMisc\\Data\\projects\\" # TODO change file path
input_file = "TEST" # TODO change file to TEST
t_name = "testing..testing"
display = True
# market/auction parameters
num_buyers = 4 # number of buyers
num_sellers = 4 # number of sellers
limits = (999, 0) # ceiling and floor for bidding
num_market_periods = 100 # number of periods auction runs
# Put Trader Class Names Here - note traders strategy is named trader class name
zi = "ZeroIntelligenceTrader"
si = "SimpleTrader"
trader_names = [zi, si, zi, si, zi, si, zi,
si] # Order of trader strategies in generic trader array
# tournament parameters
num_trials = 1 # number of times market is run
# create objects to run tournament
mkt = b.BuildMarketEnv(t_name, 4, 4) # instantiate market object
mkt.prepare_market(input_path, input_file) # set and show market parameters
da = ins.Auction('da', limits[0], limits[1]) # instantiate auction
trn = trna.Tournament(t_name, num_market_periods, da) # instatiate tournament
trader_info = trn.prepare_traders(trader_names, mkt,
limits) # instantiate traders
trn.sim(display, num_trials, trader_info)
del mkt