db.py revision 1772:a3a83e812a5e 
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
469