def initMatch(self):
numGroups = int(self.currentMatch['customParams']['numGroups'])
groupSize = int(math.ceil(float(len(self.clients)) / float(numGroups)))
self.groups = GroupData.makeGroups(numGroups)
pos = 0
for group in self.groups:
group.assignClients(self.clients[pos:(pos+groupSize)])
pos += groupSize
for group in self.groups:
print 'clients in group %d' % group.id
for client in group.clients:
print ' %d' % client.id
def __init__(self, server, params, communicator, clients, outputDir):
GameControl.GameControl.__init__(self, server, params, communicator, clients, outputDir)
# Get experiment-level parameters, hackishly expected as the values from
# the first match
self.numGroups = int(params["matches"][0]["customParams"]["numGroups"])
# Group clients (once per game)
self.groups = GroupData.groupClients_random(self.clients, numGroups=self.numGroups)
# Assign industries (alternate blue and red)
# g.blueIDs is a list of blue client IDs we send to the clients,
# because they need to know who's which color so the chat messages can
# be marked with that color.
for g in self.groups:
g.blueIDs = []
for i in range(len(g.clients)):
if i % 2 == 0:
g.clients[i].color = "blue"
g.blueIDs.append(g.clients[i].id)
else:
g.clients[i].color = "red"
# initialize clients
for c in self.clients:
#
#
c.acct = {} # Account data
#
# c.events[match][round] is a dictionary of non-market events for
# that match and round:
# productionChoice_blue
# productionChoice_red
# productionChoice_green
# prodShock
# moneyShock_blueMkt
# moneyShockAmount_blueMkt
# moneyShockAmountRealized_blueMkt
# moneyShock_redMkt
# moneyShockAmountRealized_redMkt
c.events = []
# Keep market history and other event history separate. That way
# mktHist is easier to analyze, and it can be sent without filtering to
# any client that needs it upon re-connect.
#
# group.mktHist[match][round]{market} is a list of market events
for g in self.groups:
g.mktHist = []
## Output files
# Market history
self.mktHistFilename = os.path.join(self.outputDir, server.sessionID + "-market-history.csv")
file = open(self.mktHistFilename, "wb")
csvwriter = csv.writer(file)
self.mktHistHeaders = [
"Match",
"Round",
"Group",
"Market",
"Action",
"Buyer",
"Bid",
"Accept",
"Ask",
"Seller",
"Time",
]
csvwriter.writerow(self.mktHistHeaders)
file.close()
# Round output
self.roundOutputFilename = os.path.join(self.outputDir, server.sessionID + "-history.csv")
self.roundOutputHeaders = [
"Match",
"Round",
"Group",
"Subject",
"color",
# c.acct
"dollars",
"blue",
"red",
"green",
"matchScore",
"roundScore",
# c.events
"productionChoice_blue",
"productionChoice_red",
"productionChoice_green",
"prodShock",
"moneyShock_blueMkt",
"moneyShockAmount_blueMkt",
"moneyShockAmountRealized_blueMkt",
"moneyShock_redMkt",
"moneyShockAmountRealized_redMkt",
]
file = open(self.roundOutputFilename, "wb")
csvwriter = csv.DictWriter(file, self.roundOutputHeaders)
rowdict = {}
for header in self.roundOutputHeaders:
rowdict[header] = header
csvwriter.writerow(rowdict)
file.close()
# market events are given timestamps along a timeline that starts with
# the first auction and "pauses" in between auctions. baseTime is the
# number of seconds of auction time so far, incremented at the end of
# every auction.
self.baseTime = 0.0
def initClients(self):
# initialize client data
for c in self.clients:
#
#
c.acct = {} # Account data
#
# c.events[match][round] is a dictionary of non-market events for
# that match and round:
# productionChoice_blue
# productionChoice_red
# productionChoice_green
# prodShock
# moneyShock_blueMkt
# moneyShockAmount_blueMkt
# moneyShockAmountRealized_blueMkt
# moneyShock_redMkt
# moneyShockAmount_redMkt
# moneyShockAmountRealized_redMkt
c.events = []
# Group clients (once per game)
self.numGroups = int(self.params['numGroups'])
self.groups = GroupData.groupClients_random(
self.clients, numGroups=self.numGroups)
# Assign industries (alternate blue and red)
# g.blueIDs is a list of blue client IDs we send to the clients,
# because they need to know who's which color so the chat messages can
# be marked with that color.
for g in self.groups:
g.blueIDs = []
for i in range(len(g.clients)):
if i % 2 == 0:
g.clients[i].color = 'blue'
g.blueIDs.append(g.clients[i].id)
else:
g.clients[i].color = 'red'
# Keep market history and other event history separate. That way
# mktHist is easier to analyze, and it can be sent without filtering to
# any client that needs it upon re-connect.
#
# group.mktHist[match][round]{market} is a list of market events
for g in self.groups:
g.mktHist = []
## Output files
# Market history
self.mktHistFilename = os.path.join(self.outputDir,
self.sessionID + '-market-history.csv')
file = open(self.mktHistFilename, 'wb')
csvwriter = csv.writer(file)
self.mktHistHeaders = ['Match', 'Round', 'Group', 'Market', 'Action',
'Buyer', 'Bid', 'Accept', 'Ask', 'Seller', 'Time']
csvwriter.writerow(self.mktHistHeaders)
file.close()
# Round output
self.roundOutputFilename = os.path.join(self.outputDir,
self.sessionID + '-history.csv')
self.roundOutputHeaders = ['Match', 'Round', 'Group', 'Subject',
'color',
# c.acct
'dollars', 'blue', 'red', 'green', 'matchScore', 'roundScore',
# c.events
'productionChoice_blue',
'productionChoice_red',
'productionChoice_green',
'prodShock',
'moneyShock_blueMkt',
'moneyShockAmount_blueMkt',
'moneyShockAmountRealized_blueMkt',
'moneyShock_redMkt',
'moneyShockAmount_redMkt',
'moneyShockAmountRealized_redMkt']
file = open(self.roundOutputFilename, 'wb')
csvwriter = csv.DictWriter(file, self.roundOutputHeaders)
rowdict = {}
for header in self.roundOutputHeaders:
rowdict[header] = header
csvwriter.writerow(rowdict)
file.close()
