1# Copyright (c) 2003-2004 The Regents of The University of Michigan
2# All rights reserved.
3#
4# Redistribution and use in source and binary forms, with or without
5# modification, are permitted provided that the following conditions are
6# met: redistributions of source code must retain the above copyright
7# notice, this list of conditions and the following disclaimer;
8# redistributions in binary form must reproduce the above copyright
9# notice, this list of conditions and the following disclaimer in the
10# documentation and/or other materials provided with the distribution;
11# neither the name of the copyright holders nor the names of its
12# contributors may be used to endorse or promote products derived from
13# this software without specific prior written permission.
14#
15# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
16# "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
17# LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
18# A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
19# OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
20# SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
21# LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
22# DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
23# THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
24# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
25# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
26
27import MySQLdb, re, string
28
29def statcmp(a, b):
30 v1 = a.split('.')
31 v2 = b.split('.')
32
33 last = min(len(v1), len(v2)) - 1
34 for i,j in zip(v1[0:last], v2[0:last]):
35 if i != j:
36 return cmp(i, j)
37
38 # Special compare for last element.
39 if len(v1) == len(v2):
40 return cmp(v1[last], v2[last])
41 else:
42 return cmp(len(v1), len(v2))
43
44class RunData:
45 def __init__(self, row):
46 self.run = int(row[0])
47 self.name = row[1]
48 self.user = row[2]
49 self.project = row[3]
50
51class SubData:
52 def __init__(self, row):
53 self.stat = int(row[0])
54 self.x = int(row[1])
55 self.y = int(row[2])
56 self.name = row[3]
57 self.descr = row[4]
58
59class Data:
60 def __init__(self, row):
61 if len(row) != 5:
62 raise 'stat db error'
63 self.stat = int(row[0])
64 self.run = int(row[1])
65 self.x = int(row[2])
66 self.y = int(row[3])
67 self.data = float(row[4])
68
69 def __repr__(self):
70 return '''Data(['%d', '%d', '%d', '%d', '%f'])''' % ( self.stat,
71 self.run, self.x, self.y, self.data)
72
73class StatData(object):
74 def __init__(self, row):
75 self.stat = int(row[0])
76 self.name = row[1]
77 self.desc = row[2]
78 self.type = row[3]
79 self.prereq = int(row[5])
80 self.precision = int(row[6])
81
82 import flags
83 self.flags = 0
84 if int(row[4]): self.flags |= flags.printable
85 if int(row[7]): self.flags |= flags.nozero
86 if int(row[8]): self.flags |= flags.nonan
87 if int(row[9]): self.flags |= flags.total
88 if int(row[10]): self.flags |= flags.pdf
89 if int(row[11]): self.flags |= flags.cdf
90
91 if self.type == 'DIST' or self.type == 'VECTORDIST':
92 self.min = float(row[12])
93 self.max = float(row[13])
94 self.bktsize = float(row[14])
95 self.size = int(row[15])
96
97 if self.type == 'FORMULA':
98 self.formula = self.db.allFormulas[self.stat]
99
100class Node(object):
101 def __init__(self, name):
102 self.name = name
103 def __str__(self):
104 return name
105
106class Database(object):
107 def __init__(self):
108 self.host = 'zizzer.pool'
109 self.user = ''
110 self.passwd = ''
111 self.db = 'm5stats'
112 self.cursor = None
113
114 self.allStats = []
115 self.allStatIds = {}
116 self.allStatNames = {}
117
118 self.allSubData = {}
119
120 self.allRuns = []
121 self.allRunIds = {}
122 self.allRunNames = {}
123
124 self.allBins = []
125 self.allBinIds = {}
126 self.allBinNames = {}
127
128 self.allFormulas = {}
129
130 self.stattop = {}
131 self.statdict = {}
132 self.statlist = []
133
134 self.mode = 'sum';
135 self.runs = None
136 self.bins = None
137 self.ticks = None
138 self.__dict__['get'] = type(self).sum
139
140 def query(self, sql):
141 self.cursor.execute(sql)
142
143 def update_dict(self, dict):
144 dict.update(self.stattop)
145
146 def append(self, stat):
147 statname = re.sub(':', '__', stat.name)
148 path = string.split(statname, '.')
149 pathtop = path[0]
150 fullname = ''
151
152 x = self
153 while len(path) > 1:
154 name = path.pop(0)
155 if not x.__dict__.has_key(name):
156 x.__dict__[name] = Node(fullname + name)
157 x = x.__dict__[name]
158 fullname = '%s%s.' % (fullname, name)
159
160 name = path.pop(0)
161 x.__dict__[name] = stat
162
163 self.stattop[pathtop] = self.__dict__[pathtop]
164 self.statdict[statname] = stat
165 self.statlist.append(statname)
166
167 def connect(self):
168 # connect
169 self.thedb = MySQLdb.connect(db=self.db,
170 host=self.host,
171 user=self.user,
172 passwd=self.passwd)
173
174 # create a cursor
175 self.cursor = self.thedb.cursor()
176
177 self.query('''select rn_id,rn_name,rn_sample,rn_user,rn_project
178 from runs''')
179 for result in self.cursor.fetchall():
180 run = RunData(result);
181 self.allRuns.append(run)
182 self.allRunIds[run.run] = run
183 self.allRunNames[run.name] = run
184
185 self.query('select * from bins')
186 for id,name in self.cursor.fetchall():
187 self.allBinIds[int(id)] = name
188 self.allBinNames[name] = int(id)
189
190 self.query('select sd_stat,sd_x,sd_y,sd_name,sd_descr from subdata')
191 for result in self.cursor.fetchall():
192 subdata = SubData(result)
193 if self.allSubData.has_key(subdata.stat):
194 self.allSubData[subdata.stat].append(subdata)
195 else:
196 self.allSubData[subdata.stat] = [ subdata ]
197
198 self.query('select * from formulas')
199 for id,formula in self.cursor.fetchall():
200 self.allFormulas[int(id)] = formula.tostring()
201
202 StatData.db = self
203 self.query('select * from stats')
204 import info
205 for result in self.cursor.fetchall():
206 stat = info.NewStat(StatData(result))
207 self.append(stat)
208 self.allStats.append(stat)
209 self.allStatIds[stat.stat] = stat
210 self.allStatNames[stat.name] = stat
211
212 # Name: listbins
213 # Desc: Prints all bins matching regex argument, if no argument
214 # is given all bins are returned
215 def listBins(self, regex='.*'):
216 print '%-50s %-10s' % ('bin name', 'id')
217 print '-' * 61
218 names = self.allBinNames.keys()
219 names.sort()
220 for name in names:
221 id = self.allBinNames[name]
222 print '%-50s %-10d' % (name, id)
223
224 # Name: listruns
225 # Desc: Prints all runs matching a given user, if no argument
226 # is given all runs are returned
227 def listRuns(self, user=None):
228 print '%-40s %-10s %-5s' % ('run name', 'user', 'id')
229 print '-' * 62
230 for run in self.allRuns:
231 if user == None or user == run.user:
232 print '%-40s %-10s %-10d' % (run.name, run.user, run.run)
233
234 # Name: listTicks
235 # Desc: Prints all samples for a given run
236 def listTicks(self, runs=None):
237 print "tick"
238 print "----------------------------------------"
239 sql = 'select distinct dt_tick from data where dt_stat=1180 and ('
240 if runs != None:
241 first = True
242 for run in runs:
243 if first:
244 # sql += ' where'
245 first = False
246 else:
247 sql += ' or'
248 sql += ' dt_run=%s' % run.run
249 sql += ')'
250 self.query(sql)
251 for r in self.cursor.fetchall():
252 print r[0]
253
254 # Name: retTicks
255 # Desc: Prints all samples for a given run
256 def retTicks(self, runs=None):
257 sql = 'select distinct dt_tick from data where dt_stat=1180 and ('
258 if runs != None:
259 first = True
260 for run in runs:
261 if first:
262 first = False
263 else:
264 sql += ' or'
265 sql += ' dt_run=%s' % run.run
266 sql += ')'
267 self.query(sql)
268 ret = []
269 for r in self.cursor.fetchall():
270 ret.append(r[0])
271 return ret
272
273 # Name: liststats
274 # Desc: Prints all statistics that appear in the database,
275 # the optional argument is a regular expression that can
276 # be used to prune the result set
277 def listStats(self, regex=None):
278 print '%-60s %-8s %-10s' % ('stat name', 'id', 'type')
279 print '-' * 80
280
281 rx = None
282 if regex != None:
283 rx = re.compile(regex)
284
285 stats = [ stat.name for stat in self.allStats ]
286 stats.sort(statcmp)
287 for stat in stats:
288 stat = self.allStatNames[stat]
289 if rx == None or rx.match(stat.name):
290 print '%-60s %-8s %-10s' % (stat.name, stat.stat, stat.type)
291
292 # Name: liststats
293 # Desc: Prints all statistics that appear in the database,
294 # the optional argument is a regular expression that can
295 # be used to prune the result set
296 def listFormulas(self, regex=None):
297 print '%-60s %s' % ('formula name', 'formula')
298 print '-' * 80
299
300 rx = None
301 if regex != None:
302 rx = re.compile(regex)
303
304 stats = [ stat.name for stat in self.allStats ]
305 stats.sort(statcmp)
306 for stat in stats:
307 stat = self.allStatNames[stat]
308 if stat.type == 'FORMULA' and (rx == None or rx.match(stat.name)):
309 print '%-60s %s' % (stat.name, self.allFormulas[stat.stat])
310
311 def getStat(self, stats):
312 if type(stats) is not list:
313 stats = [ stats ]
314
315 ret = []
316 for stat in stats:
317 if type(stat) is int:
318 ret.append(self.allStatIds[stat])
319
320 if type(stat) is str:
321 rx = re.compile(stat)
322 for stat in self.allStats:
323 if rx.match(stat.name):
324 ret.append(stat)
325 return ret
326
327 def getBin(self, bins):
328 if type(bins) is not list:
329 bins = [ bins ]
330
331 ret = []
332 for bin in bins:
333 if type(bin) is int:
334 ret.append(bin)
335 elif type(bin) is str:
336 ret.append(self.allBinNames[bin])
337 else:
338 for name,id in self.allBinNames.items():
339 if bin.match(name):
340 ret.append(id)
341
342 return ret
343
344 def getNotBin(self, bin):
345 map = {}
346 for bin in getBin(bin):
347 map[bin] = 1
348
349 ret = []
350 for bin in self.allBinIds.keys():
351 if not map.has_key(bin):
352 ret.append(bin)
353
354 return ret
355
356 #########################################
357 # get the data
358 #
359 def inner(self, op, stat, bins, ticks, group=False):
360 sql = 'select '
361 sql += 'dt_stat as stat, '
362 sql += 'dt_run as run, '
363 sql += 'dt_x as x, '
364 sql += 'dt_y as y, '
365 if group:
366 sql += 'dt_tick as tick, '
367 sql += '%s(dt_data) as data ' % op
368 sql += 'from data '
369 sql += 'where '
370
371 if isinstance(stat, list):
372 val = ' or '.join([ 'dt_stat=%d' % s.stat for s in stat ])
373 sql += ' (%s)' % val
374 else:
375 sql += ' dt_stat=%d' % stat.stat
376
377 if self.runs != None and len(self.runs):
378 val = ' or '.join([ 'dt_run=%d' % r for r in self.runs ])
379 sql += ' and (%s)' % val
380
381 if bins != None and len(bins):
382 val = ' or '.join([ 'dt_bin=%d' % b for b in bins ])
383 sql += ' and (%s)' % val
384
385 if ticks != None and len(ticks):
386 val = ' or '.join([ 'dt_tick=%d' % s for s in ticks ])
387 sql += ' and (%s)' % val
388
389 sql += ' group by dt_stat,dt_run,dt_x,dt_y'
390 if group:
391 sql += ',dt_tick'
392 return sql
393
394 def outer(self, op_out, op_in, stat, bins, ticks):
395 sql = self.inner(op_in, stat, bins, ticks, True)
396 sql = 'select stat,run,x,y,%s(data) from (%s) as tb ' % (op_out, sql)
397 sql += 'group by stat,run,x,y'
398 return sql
399
400 # Name: sum
401 # Desc: given a run, a stat and an array of samples and bins,
402 # sum all the bins and then get the standard deviation of the
403 # samples for non-binned runs. This will just return the average
404 # of samples, however a bin array still must be passed
405 def sum(self, stat, bins, ticks):
406 return self.inner('sum', stat, bins, ticks)
407
408 # Name: avg
409 # Desc: given a run, a stat and an array of samples and bins,
410 # sum all the bins and then average the samples for non-binned
411 # runs this will just return the average of samples, however
412 # a bin array still must be passed
413 def avg(self, stat, bins, ticks):
414 return self.outer('avg', 'sum', stat, bins, ticks)
415
416 # Name: stdev
417 # Desc: given a run, a stat and an array of samples and bins,
418 # sum all the bins and then get the standard deviation of the
419 # samples for non-binned runs. This will just return the average
420 # of samples, however a bin array still must be passed
421 def stdev(self, stat, bins, ticks):
422 return self.outer('stddev', 'sum', stat, bins, ticks)
423
424 def __getattribute__(self, attr):
425 if attr != 'get':
426 return super(Database, self).__getattribute__(attr)
427
428 if self.__dict__['get'] == type(self).sum:
429 return 'sum'
430 elif self.__dict__['get'] == type(self).avg:
431 return 'avg'
432 elif self.__dict__['get'] == type(self).stdev:
433 return 'stdev'
434 else:
435 return ''
436
437 def __setattr__(self, attr, value):
438 if attr != 'get':
439 super(Database, self).__setattr__(attr, value)
440 return
441
442 if value == 'sum':
443 self.__dict__['get'] = type(self).sum
444 elif value == 'avg':
445 self.__dict__['get'] = type(self).avg
446 elif value == 'stdev':
447 self.__dict__['get'] = type(self).stdev
448 else:
449 raise AttributeError, "can only set get to: sum | avg | stdev"
450
451 def data(self, stat, bins=None, ticks=None):
452 if bins is None:
453 bins = self.bins
454 if ticks is None:
455 ticks = self.ticks
456 sql = self.__dict__['get'](self, stat, bins, ticks)
457 self.query(sql)
458
459 runs = {}
460 for x in self.cursor.fetchall():
461 data = Data(x)
462 if not runs.has_key(data.run):
463 runs[data.run] = {}
464 if not runs[data.run].has_key(data.x):
465 runs[data.run][data.x] = {}
466
467 runs[data.run][data.x][data.y] = data.data
468 return runs