summaryrefslogtreecommitdiff
path: root/util/stats/db.py
blob: ed5d10bc2c5115ad65ce45b53351f7b8ee15928b (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
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
import MySQLdb, re, string

def statcmp(a, b):
    v1 = a.split('.')
    v2 = b.split('.')

    last = min(len(v1), len(v2)) - 1
    for i,j in zip(v1[0:last], v2[0:last]):
        if i != j:
            return cmp(i, j)

    # Special compare for last element.
    if len(v1) == len(v2):
        return cmp(v1[last], v2[last])
    else:
        return cmp(len(v1), len(v2))

class RunData:
    def __init__(self, row):
        self.run = int(row[0])
        self.name = row[1]
        self.user = row[2]
        self.project = row[3]

class SubData:
    def __init__(self, row):
        self.stat = int(row[0])
        self.x = int(row[1])
        self.y = int(row[2])
        self.name = row[3]
        self.descr = row[4]

class Data:
    def __init__(self, row):
        if len(row) != 5:
            raise 'stat db error'
        self.stat = int(row[0])
        self.run = int(row[1])
        self.x = int(row[2])
        self.y = int(row[3])
        self.data = float(row[4])

    def __repr__(self):
        return '''Data(['%d', '%d', '%d', '%d', '%f'])''' % ( self.stat,
            self.run, self.x, self.y, self.data)

class StatData(object):
    def __init__(self, row):
        self.stat = int(row[0])
        self.name = row[1]
        self.desc = row[2]
        self.type = row[3]
        self.prereq = int(row[5])
        self.precision = int(row[6])

        import flags
        self.flags = 0
        if int(row[4]): self.flags |= flags.printable
        if int(row[7]): self.flags |= flags.nozero
        if int(row[8]): self.flags |= flags.nonan
        if int(row[9]): self.flags |= flags.total
        if int(row[10]): self.flags |= flags.pdf
        if int(row[11]): self.flags |= flags.cdf

        if self.type == 'DIST' or self.type == 'VECTORDIST':
            self.min = float(row[12])
            self.max = float(row[13])
            self.bktsize = float(row[14])
            self.size = int(row[15])

        if self.type == 'FORMULA':
            self.formula = self.db.allFormulas[self.stat]

class Node(object):
    def __init__(self, name):
        self.name = name
    def __str__(self):
        return name

class Database(object):
    def __init__(self):
        self.host = 'zizzer.pool'
        self.user = ''
        self.passwd = ''
        self.db = 'm5stats'
        self.cursor = None

        self.allStats = []
        self.allStatIds = {}
        self.allStatNames = {}

        self.allSubData = {}

        self.allRuns = []
        self.allRunIds = {}
        self.allRunNames = {}

        self.allBins = []
        self.allBinIds = {}
        self.allBinNames = {}

        self.allFormulas = {}

        self.stattop = {}
        self.statdict = {}
        self.statlist = []

        self.mode = 'sum';
        self.runs = None
        self.bins = None
        self.ticks = None
        self.__dict__['get'] = type(self).sum

    def query(self, sql):
        self.cursor.execute(sql)

    def update_dict(self, dict):
        dict.update(self.stattop)

    def append(self, stat):
        statname = re.sub(':', '__', stat.name)
        path = string.split(statname, '.')
        pathtop = path[0]
        fullname = ''

        x = self
        while len(path) > 1:
            name = path.pop(0)
            if not x.__dict__.has_key(name):
                x.__dict__[name] = Node(fullname + name)
            x = x.__dict__[name]
            fullname = '%s%s.' % (fullname, name)

        name = path.pop(0)
        x.__dict__[name] = stat

        self.stattop[pathtop] = self.__dict__[pathtop]
        self.statdict[statname] = stat
        self.statlist.append(statname)

    def connect(self):
        # connect
        self.thedb = MySQLdb.connect(db=self.db,
                                     host=self.host,
                                     user=self.user,
                                     passwd=self.passwd)

        # create a cursor
        self.cursor = self.thedb.cursor()

        self.query('''select rn_id,rn_name,rn_sample,rn_user,rn_project
                   from runs''')
        for result in self.cursor.fetchall():
            run = RunData(result);
            self.allRuns.append(run)
            self.allRunIds[run.run] = run
            self.allRunNames[run.name] = run

        self.query('select * from bins')
        for id,name in self.cursor.fetchall():
            self.allBinIds[int(id)] = name
            self.allBinNames[name] = int(id)

        self.query('select sd_stat,sd_x,sd_y,sd_name,sd_descr from subdata')
        for result in self.cursor.fetchall():
            subdata = SubData(result)
            if self.allSubData.has_key(subdata.stat):
                self.allSubData[subdata.stat].append(subdata)
            else:
                self.allSubData[subdata.stat] = [ subdata ]

        self.query('select * from formulas')
        for id,formula in self.cursor.fetchall():
            self.allFormulas[int(id)] = formula.tostring()

        StatData.db = self
        self.query('select * from stats')
        import info
        for result in self.cursor.fetchall():
            stat = info.NewStat(StatData(result))
            self.append(stat)
            self.allStats.append(stat)
            self.allStatIds[stat.stat] = stat
            self.allStatNames[stat.name] = stat

    # Name: listbins
    # Desc: Prints all bins matching regex argument, if no argument
    #       is given all bins are returned
    def listBins(self, regex='.*'):
        print '%-50s %-10s' % ('bin name', 'id')
        print '-' * 61
        names = self.allBinNames.keys()
        names.sort()
        for name in names:
            id = self.allBinNames[name]
            print '%-50s %-10d' % (name, id)

    # Name: listruns
    # Desc: Prints all runs matching a given user, if no argument
    #       is given all runs are returned
    def listRuns(self, user=None):
        print '%-40s %-10s %-5s' % ('run name', 'user', 'id')
        print '-' * 62
        for run in self.allRuns:
            if user == None or user == run.user:
                print '%-40s %-10s %-10d' % (run.name, run.user, run.run)

    # Name: listTicks
    # Desc: Prints all samples for a given run
    def listTicks(self, runs=None):
        print "tick"
        print "----------------------------------------"
        sql = 'select distinct dt_tick from data where dt_stat=1180 and ('
        if runs != None:
            first = True
            for run in runs:
               if first:
            #       sql += ' where'
                   first = False
               else:
                   sql += ' or'
               sql += ' dt_run=%s' % run.run
            sql += ')'
        self.query(sql)
        for r in self.cursor.fetchall():
            print r[0]

    # Name: retTicks
    # Desc: Prints all samples for a given run
    def retTicks(self, runs=None):
        sql = 'select distinct dt_tick from data where dt_stat=1180 and ('
        if runs != None:
            first = True
            for run in runs:
               if first:
                   first = False
               else:
                   sql += ' or'
               sql += ' dt_run=%s' % run.run
            sql += ')'
        self.query(sql)
        ret = []
        for r in self.cursor.fetchall():
            ret.append(r[0])
        return ret

    # Name: liststats
    # Desc: Prints all statistics that appear in the database,
    #         the optional argument is a regular expression that can
    #         be used to prune the result set
    def listStats(self, regex=None):
        print '%-60s %-8s %-10s' % ('stat name', 'id', 'type')
        print '-' * 80

        rx = None
        if regex != None:
            rx = re.compile(regex)

        stats = [ stat.name for stat in self.allStats ]
        stats.sort(statcmp)
        for stat in stats:
            stat = self.allStatNames[stat]
            if rx == None or rx.match(stat.name):
                print '%-60s %-8s %-10s' % (stat.name, stat.stat, stat.type)

    # Name: liststats
    # Desc: Prints all statistics that appear in the database,
    #         the optional argument is a regular expression that can
    #         be used to prune the result set
    def listFormulas(self, regex=None):
        print '%-60s %s' % ('formula name', 'formula')
        print '-' * 80

        rx = None
        if regex != None:
            rx = re.compile(regex)

        stats = [ stat.name for stat in self.allStats ]
        stats.sort(statcmp)
        for stat in stats:
            stat = self.allStatNames[stat]
            if stat.type == 'FORMULA' and (rx == None or rx.match(stat.name)):
                print '%-60s %s' % (stat.name, self.allFormulas[stat.stat])

    def getStat(self, stats):
        if type(stats) is not list:
            stats = [ stats ]

        ret = []
        for stat in stats:
            if type(stat) is int:
                ret.append(self.allStatIds[stat])

            if type(stat) is str:
                rx = re.compile(stat)
                for stat in self.allStats:
                    if rx.match(stat.name):
                        ret.append(stat)
        return ret

    def getBin(self, bins):
        if type(bins) is not list:
            bins = [ bins ]

        ret = []
        for bin in bins:
            if type(bin) is int:
                ret.append(bin)
            elif type(bin) is str:
                ret.append(self.allBinNames[bin])
            else:
                for name,id in self.allBinNames.items():
                    if bin.match(name):
                        ret.append(id)

        return ret

    def getNotBin(self, bin):
        map = {}
        for bin in getBin(bin):
            map[bin] = 1

        ret = []
        for bin in self.allBinIds.keys():
            if not map.has_key(bin):
                ret.append(bin)

        return ret

    #########################################
    # get the data
    #
    def inner(self, op, stat, bins, ticks, group=False):
        sql = 'select '
        sql += 'dt_stat as stat, '
        sql += 'dt_run as run, '
        sql += 'dt_x as x, '
        sql += 'dt_y as y, '
        if group:
            sql += 'dt_tick as tick, '
        sql += '%s(dt_data) as data ' % op
        sql += 'from data '
        sql += 'where '

        if isinstance(stat, list):
            val = ' or '.join([ 'dt_stat=%d' % s.stat for s in stat ])
            sql += ' (%s)' % val
        else:
            sql += ' dt_stat=%d' % stat.stat

        if self.runs != None and len(self.runs):
            val = ' or '.join([ 'dt_run=%d' % r for r in self.runs ])
            sql += ' and (%s)' % val

        if bins != None and len(bins):
            val = ' or '.join([ 'dt_bin=%d' % b for b in bins ])
            sql += ' and (%s)' % val

        if ticks != None and len(ticks):
            val = ' or '.join([ 'dt_tick=%d' % s for s in ticks ])
            sql += ' and (%s)' % val

        sql += ' group by dt_stat,dt_run,dt_x,dt_y'
        if group:
            sql += ',dt_tick'
        return sql

    def outer(self, op_out, op_in, stat, bins, ticks):
        sql = self.inner(op_in, stat, bins, ticks, True)
        sql = 'select stat,run,x,y,%s(data) from (%s) as tb ' % (op_out, sql)
        sql += 'group by stat,run,x,y'
        return sql

    # Name: sum
    # Desc: given a run, a stat and an array of samples and bins,
    #        sum all the bins and then get the standard deviation of the
    #        samples for non-binned runs. This will just return the average
    #        of samples, however a bin array still must be passed
    def sum(self, stat, bins, ticks):
        return self.inner('sum', stat, bins, ticks)

    # Name: avg
    # Desc: given a run, a stat and an array of samples and bins,
    #        sum all the bins and then average the samples for non-binned
    #        runs this will just return the average of samples, however
    #        a bin array still must be passed
    def avg(self, stat, bins, ticks):
        return self.outer('avg', 'sum', stat, bins, ticks)

    # Name: stdev
    # Desc: given a run, a stat and an array of samples and bins,
    #        sum all the bins and then get the standard deviation of the
    #        samples for non-binned runs. This will just return the average
    #        of samples, however a bin array still must be passed
    def stdev(self, stat, bins, ticks):
        return self.outer('stddev', 'sum', stat, bins, ticks)

    def __getattribute__(self, attr):
        if attr != 'get':
            return super(Database, self).__getattribute__(attr)

        if self.__dict__['get'] == type(self).sum:
            return 'sum'
        elif self.__dict__['get'] == type(self).avg:
            return 'avg'
        elif self.__dict__['get'] == type(self).stdev:
            return 'stdev'
        else:
            return ''

    def __setattr__(self, attr, value):
        if attr != 'get':
            super(Database, self).__setattr__(attr, value)
            return

        if value == 'sum':
            self.__dict__['get'] = type(self).sum
        elif value == 'avg':
            self.__dict__['get'] = type(self).avg
        elif value == 'stdev':
            self.__dict__['get'] = type(self).stdev
        else:
            raise AttributeError, "can only set get to: sum | avg | stdev"

    def data(self, stat, bins=None, ticks=None):
        if bins is None:
            bins = self.bins
        if ticks is None:
            ticks = self.ticks
        sql = self.__dict__['get'](self, stat, bins, ticks)
        self.query(sql)

        runs = {}
        for x in self.cursor.fetchall():
            data = Data(x)
            if not runs.has_key(data.run):
                runs[data.run] = {}
            if not runs[data.run].has_key(data.x):
                runs[data.run][data.x] = {}

            runs[data.run][data.x][data.y] = data.data
        return runs