summaryrefslogtreecommitdiff
path: root/stalinizer.py
blob: 1c6503f4fa0a17003b59a7f1f43e25bdd0b624ac (plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
#!/usr/bin/env pypy3
import sys, re
from datetime import datetime

def parse_realtime(text):
	try:
		date = datetime.strptime(text, "%Y/%m/%d %H:%M:%S")
	except ValueError:
		date = datetime.strptime(text, "%Y-%m-%d %H:%M:%S")
	return date.timestamp()

def parse_gametime(text):
	parts = text.split(":");
	return int(parts[0]) * 60 + int(parts[1])

class StateTracker:
	def __init__(self):
		self.hist = list()
		self.hist_pings = list()
		self.slots = [False] * 64;
		self.time_ref = None
		self.time = None
		self.time_last = None
		self.pcount = None
		self.pcount_last = None
		self.pings = list()

	def update(self):
		if self.time_last and self.time > self.time_last:
			self.hist.append((self.time_last, self.pcount_last))

		self.time_last = self.time
		self.pcount_last = self.pcount

	def finish(self):
		if self.time != self.time_last or \
		   self.pcount != self.pcount_last:
			self.hist.append((self.time, self.pcount))

		if len(self.pings):
			self.hist_pings.append((self.time_ref, self.pings))
			self.pings = list()

	def ev_begin(self, realtime):
		self.slots = [False] * 64
		self.time_ref = parse_realtime(realtime)
		self.time =  self.time_ref
		self.pcount = 0
		self.update()

		if len(self.pings):
			self.hist_pings.append((self.time_ref, self.pings))
			self.pings = list()

	def ev_connect(self, gametime, slot):
		if self.slots[slot]:
			return

		self.slots[slot] = True
		self.time = self.time_ref + parse_gametime(gametime)
		self.pcount += 1
		self.update()

		if self.pcount > 64:
			raise ValueError("too many players")

	def ev_disconnect(self, gametime, slot):
		self.slots[slot] = False
		self.time = self.time_ref + parse_gametime(gametime)
		self.pcount -= 1
		self.update()

	def ev_endgame_stat(self, gametime, score, ping):
		if ping == "999":
			return

		game_length = parse_gametime(gametime)
		self.pings.append((int(ping), game_length))


class WeightedMean:
	def __init__(self):
		self.samples = list()
		self.total = 0
		self.total_weighted = 0
		self.weights = 0

	def feed(self, sample, weight):
		self.samples.append((sample, weight))
		self.total += sample
		self.total_weighted += sample * weight;
		self.weights += weight

	def mean(self):
		if self.weights != 0:
			return self.total/ self.weights
		else:
			return 0

	def wmean(self):
		if self.weights != 0:
			return self.total_weighted / self.weights
		else:
			return 0

	# weighted standard deviation
	# http://www.itl.nist.gov/div898/software/dataplot/refman2/ch2/weightsd.pdf
	def wsd(self):
		if len(self.samples) <= 1:
			return 99999

		wmean = self.wmean()

		S = 0
		for sample in self.samples:
			S += sample[1] * (sample[0] - wmean) ** 2

		N = len(self.samples)
		wsd = (S / ((N - 1) / N * self.weights)) ** 0.5;

		for sample in self.samples:
			print("%d\t%d" % (sample[0], sample[1]))
		print("wsd is %f" % wsd)

		return wsd

	# standard deviation of the weighted mean
	def wmsd(self):
		if self.weights == 0:
			return 99999

		# sum of squared weights
		sq_weights = 0
		for sample in self.samples:
			sq_weights += sample[1] ** 2

		# unweighted variance
		mean = self.mean()
		var = 0
		for sample in self.samples:
			var += (sample[0] - mean) ** 2
		var /= len(self.samples)

		wmsd = (sq_weights / (self.weights) ** 2 * var) ** 0.5

		return wmsd


class Day:
	def __init__(self, date):
		self.date = date
		self.pcount_sum = 0
		self.pcount_time = 0
		self.pcount_peak = 0
		self.pings = WeightedMean()

	def avg_pcount(self):
		return self.pcount_sum / self.pcount_time

	def peak_pcount(self):
		return self.pcount_peak

	def ping_distrib(self):
		above_60 = 0
		above_110 = 0
		above_160 = 0
		above_210 = 0
		above_260 = 0

		for sample in self.pings.samples:
			if sample[0] > 60:
				above_60 += sample[1]
			if sample[0] > 110:
				above_110 += sample[1]
			if sample[0] > 160:
				above_160 += sample[1]
			if sample[0] > 210:
				above_210 += sample[1]
			if sample[0] > 260:
				above_260 += sample[1]

		if len(self.pings.samples):
			above_60 /= self.pings.weights
			above_110 /= self.pings.weights
			above_160 /= self.pings.weights
			above_210 /= self.pings.weights
			above_260 /= self.pings.weights

		return "%f %f %f %f %f" % (above_60, above_110, above_160, \
		       above_210, above_260)



class Analyzer:
	def __init__(self):
		self.time_last = None
		self.pcount_last = None
		self.days = dict()

	def feed(self, time, pcount):
		if self.time_last == None:
			self.time_last = time
			self.pcount_last = pcount
			return

		date = datetime.fromtimestamp(time).date()
		if date not in self.days:
			self.days[date] = Day(date)

		delta = time - self.time_last
		self.days[date].pcount_sum += delta * self.pcount_last
		self.days[date].pcount_time += delta
		if pcount > self.days[date].pcount_peak:
			self.days[date].pcount_peak = pcount

		self.time_last = time
		self.pcount_last = pcount

	def feed_pings(self, time, pings):
		date = datetime.fromtimestamp(time).date()
		if date not in self.days:
			self.days[date] = Day(date)

		for ping in pings:
			self.days[date].pings.feed(ping[0], ping[1])

	def finish(self):
		for date, day in self.days.items():
			if day.pcount_time < 80000:
				 continue

			print("%s %f %f %f %f %s %d" % (date, day.avg_pcount(), \
			      day.pings.wmean(), day.pings.wmsd(), day.pings.wsd(), \
			      day.ping_distrib(), day.peak_pcount()))
		pass


def decoder(raw):
	return raw.decode("ISO-8859-1")

def main():
	state = StateTracker()

	re_realtime = re.compile("^\s*\d+:\d\d RealTime: (.*)$")
	re_connect = re.compile("^\s*(\d+:\d\d) ClientConnect: ([0-9]+)")
	re_disconnect = re.compile("^\s*(\d+:\d\d) ClientDisconnect: ([0-9]+)")
	re_endgame_stat = re.compile("^\s*(\d+:\d\d) score: (-?[0-9]+)  ping: ([0-9]+)")

	for (i, line) in enumerate(map(decoder, sys.stdin.buffer)):
		try:
			if "RealTime" in line:
				rv = re.search(re_realtime, line)
				if rv:
					state.ev_begin(rv.group(1))
					continue
			elif "ClientConnect" in line:
				rv = re.search(re_connect, line)
				if rv:
					state.ev_connect(rv.group(1),
					                 int(rv.group(2)))
					continue
			elif "ClientDisconnect" in line:
				rv = re.search(re_disconnect, line)
				if rv:
					state.ev_disconnect(rv.group(1),
					                    int(rv.group(2)))
					continue
			elif "score:" in line:
				rv = re.search(re_endgame_stat, line)
				if rv:
					state.ev_endgame_stat(rv.group(1), \
					                      rv.group(2), \
					                      rv.group(3))
					continue
		except:
			print("ERROR on line %d:" % (i + 1), file=sys.stderr)
			raise

	state.finish()

	analyzer = Analyzer()

	for (time, count) in state.hist:
		analyzer.feed(time, count)

	for (time, pings) in state.hist_pings:
		analyzer.feed_pings(time, pings)

	analyzer.finish()

main()