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root/cvsroot/UserCode/RateMonShiftTool_dev/CheckPrescales.py
Revision: 1.2
Committed: Thu Mar 22 18:02:11 2012 UTC (13 years, 1 month ago) by amott
Content type: text/x-python
Branch: MAIN
CVS Tags: V00-00-19
Changes since 1.1: +16 -7 lines
Log Message:
Added ability to ignore PS columns

File Contents

# User Rev Content
1 amott 1.1 #!/usr/bin/env python
2    
3     import sys
4     import os
5     from DatabaseParser import ConnectDB
6    
7     def usage():
8 amott 1.2 print sys.argv[0] + " HLTKey GTKey GTRS Key [PSColsToIgnore]"
9 amott 1.1
10     def main():
11    
12 amott 1.2 if len(sys.argv) < 4 or len(sys.argv)>5:
13 amott 1.1 usage()
14     sys.exit(0)
15    
16     HLT_Key = sys.argv[1]
17     GT_Key = sys.argv[2]
18 amott 1.2 GTRS_Key = sys.argv[3]
19     PSColsToIgnore = []
20     if len(sys.argv)==5:
21     for c in sys.argv[4].split(','):
22     try:
23     PSColsToIgnore.append(int(c))
24     except:
25     print "ERROR: %s is not a valid prescale column" % c
26 amott 1.1
27     curs = ConnectDB('hlt')
28    
29     ## Get the HLT seeds
30     sqlquery ="""
31     SELECT I.NAME,A.VALUE
32     FROM
33     CMS_HLT.STRINGPARAMVALUES A,
34     CMS_HLT.PARAMETERS B,
35     CMS_HLT.SUPERIDPARAMETERASSOC C,
36     CMS_HLT.MODULETEMPLATES D,
37     CMS_HLT.MODULES E,
38     CMS_HLT.PATHMODULEASSOC F,
39     CMS_HLT.CONFIGURATIONPATHASSOC G,
40     CMS_HLT.CONFIGURATIONS H,
41     CMS_HLT.PATHS I
42     WHERE
43     A.PARAMID = C.PARAMID AND
44     B.PARAMID = C.PARAMID AND
45     B.NAME = 'L1SeedsLogicalExpression' AND
46     C.SUPERID = F.MODULEID AND
47     D.NAME = 'HLTLevel1GTSeed' AND
48     E.TEMPLATEID = D.SUPERID AND
49     F.MODULEID = E.SUPERID AND
50     F.PATHID=G.PATHID AND
51     I.PATHID=G.PATHID AND
52     G.CONFIGID=H.CONFIGID AND
53     H.CONFIGDESCRIPTOR='%s'
54     ORDER BY A.VALUE
55     """ % (HLT_Key,)
56     curs.execute(sqlquery)
57     HLTSeed = {}
58     for HLTPath,L1Seed in curs.fetchall():
59     if not HLTSeed.has_key(HLTPath): ## this should protect us from L1_SingleMuOpen
60     HLTSeed[HLTPath] = L1Seed.lstrip('"').rstrip('"')
61    
62     HLTPrescales = GetHLTPrescaleMatrix(curs,HLT_Key)
63    
64     L1Names = {}
65     ## get the L1 algo names associated with each algo bit
66     AlgoNameQuery = """SELECT ALGO_INDEX, ALIAS FROM CMS_GT.L1T_MENU_ALGO_VIEW
67     WHERE MENU_IMPLEMENTATION IN (SELECT L1T_MENU_FK FROM CMS_GT.GT_SETUP WHERE ID='%s')
68     ORDER BY ALGO_INDEX""" % (GT_Key,)
69     curs.execute(AlgoNameQuery)
70     for index,name in curs.fetchall():
71     L1Names[name] = index
72    
73     L1Prescales = GetL1AlgoPrescales(curs,GTRS_Key)
74    
75     FullPrescales = {}
76     formatString = "%60s%30s%50s%50s%50s"
77     print "List of triggers with non-sequential prescales:"
78     print formatString % ("HLT Name","L1 Name","Total","HLT","L1",)
79     for HLTName,L1Seeds in HLTSeed.iteritems():
80     if HLTName.startswith('AlCa'): ## the results don't make sense for AlCa paths
81     continue
82     if L1Seeds.isdigit(): ## skip TT seeded paths
83     continue
84     thisL1PS = []
85     for seed in L1Seeds.split(' OR '): ## unwind the OR of multiple seeds
86     if seed.isdigit():
87     continue
88     if not L1Names.has_key(seed):
89     print "WARNING: %s uses non-existant L1 seed: %s" % (HLTName,seed,)
90     tmp = L1Prescales[L1Names[seed]]
91     if len(thisL1PS)==0:
92     thisL1PS = tmp ## just set it for the first one
93     else:
94     for i,a,b in zip(range(len(tmp)),thisL1PS,tmp):
95     if b<a:
96     thisL1PS[i] = b # choose the minimum PS for each column
97     if len(thisL1PS)==0:
98     continue ## this probably means that the seeding was an OR of TTs
99     if HLTPrescales.has_key(HLTName): ## if the HLT path is totally unprescaled it won't be listed in the PS service
100     thisHLTPS = HLTPrescales[HLTName]
101     else:
102     thisHLTPS = [1]*len(thisL1PS)
103     if not len(thisHLTPS) == len(thisL1PS):
104     print "Incompatible number of prescales columns for trigger %s" % HLTName
105     continue
106     prescales = []
107     for hlt,l1 in zip(thisHLTPS,thisL1PS):
108     prescales.append(hlt*l1)
109     #print HLTName+" HLT: "+str(thisHLTPS)+" L1: "+str(thisL1PS)+" Total: "+str(prescales)
110 amott 1.2 if not isSequential(prescales,PSColsToIgnore):
111 amott 1.1 print formatString % (HLTName,L1Seeds,prescales,thisHLTPS,thisL1PS,)
112     FullPrescales[HLTName] = prescales
113    
114     def GetHLTPrescaleMatrix(cursor,HLT_Key):
115     ## Get the config ID
116     configIDQuery = "SELECT CONFIGID FROM CMS_HLT.CONFIGURATIONS WHERE CONFIGDESCRIPTOR='%s'" % (HLT_Key,)
117     cursor.execute(configIDQuery)
118     ConfigId, = cursor.fetchone()
119    
120     SequencePathQuery ="""
121     SELECT F.SEQUENCENB,J.VALUE TRIGGERNAME
122     FROM CMS_HLT.CONFIGURATIONSERVICEASSOC A
123     , CMS_HLT.SERVICES B
124     , CMS_HLT.SERVICETEMPLATES C
125     , CMS_HLT.SUPERIDVECPARAMSETASSOC D
126     , CMS_HLT.VECPARAMETERSETS E
127     , CMS_HLT.SUPERIDPARAMSETASSOC F
128     , CMS_HLT.PARAMETERSETS G
129     , CMS_HLT.SUPERIDPARAMETERASSOC H
130     , CMS_HLT.PARAMETERS I
131     , CMS_HLT.STRINGPARAMVALUES J
132     WHERE A.CONFIGID= %d
133     AND A.SERVICEID=B.SUPERID
134     AND B.TEMPLATEID=C.SUPERID
135     AND C.NAME='PrescaleService'
136     AND B.SUPERID=D.SUPERID
137     AND D.VPSETID=E.SUPERID
138     AND E.NAME='prescaleTable'
139     AND D.VPSETID=F.SUPERID
140     AND F.PSETID=G.SUPERID
141     AND G.SUPERID=H.SUPERID
142     AND I.PARAMID=H.PARAMID
143     AND I.NAME='pathName'
144     AND J.PARAMID=H.PARAMID
145     ORDER BY F.SEQUENCENB
146     """ % (ConfigId,)
147    
148     cursor.execute(SequencePathQuery)
149     HLTSequenceMap = {}
150     for seq,name in cursor.fetchall():
151     name = name.lstrip('"').rstrip('"')
152     HLTSequenceMap[seq]=name
153    
154     SequencePrescaleQuery="""
155     SELECT F.SEQUENCENB,J.SEQUENCENB,J.VALUE
156     FROM CMS_HLT.CONFIGURATIONSERVICEASSOC A
157     , CMS_HLT.SERVICES B
158     , CMS_HLT.SERVICETEMPLATES C
159     , CMS_HLT.SUPERIDVECPARAMSETASSOC D
160     , CMS_HLT.VECPARAMETERSETS E
161     , CMS_HLT.SUPERIDPARAMSETASSOC F
162     , CMS_HLT.PARAMETERSETS G
163     , CMS_HLT.SUPERIDPARAMETERASSOC H
164     , CMS_HLT.PARAMETERS I
165     , CMS_HLT.VUINT32PARAMVALUES J
166     WHERE A.CONFIGID=%d
167     AND A.SERVICEID=B.SUPERID
168     AND B.TEMPLATEID=C.SUPERID
169     AND C.NAME='PrescaleService'
170     AND B.SUPERID=D.SUPERID
171     AND D.VPSETID=E.SUPERID
172     AND E.NAME='prescaleTable'
173     AND D.VPSETID=F.SUPERID
174     AND F.PSETID=G.SUPERID
175     AND G.SUPERID=H.SUPERID
176     AND I.PARAMID=H.PARAMID
177     AND I.NAME='prescales'
178     AND J.PARAMID=H.PARAMID
179     ORDER BY F.SEQUENCENB,J.SEQUENCENB
180     """ % (ConfigId,)
181    
182     #print HLTSequenceMap
183     cursor.execute(SequencePrescaleQuery)
184     HLTPrescaleTable= {}
185     lastIndex=-1
186     lastSeq=-1
187     row = []
188     for seq,index,val in cursor.fetchall():
189     if lastIndex!=index-1:
190     HLTPrescaleTable[HLTSequenceMap[seq-1]] = row
191     row=[]
192     lastSeq=seq
193     lastIndex=index
194     row.append(val)
195    
196     return HLTPrescaleTable
197    
198     def GetL1AlgoPrescales(curs, GTRS_Key):
199     L1PrescalesQuery= """
200     SELECT
201     PRESCALE_FACTOR_ALGO_000,PRESCALE_FACTOR_ALGO_001,PRESCALE_FACTOR_ALGO_002,PRESCALE_FACTOR_ALGO_003,PRESCALE_FACTOR_ALGO_004,PRESCALE_FACTOR_ALGO_005,
202     PRESCALE_FACTOR_ALGO_006,PRESCALE_FACTOR_ALGO_007,PRESCALE_FACTOR_ALGO_008,PRESCALE_FACTOR_ALGO_009,PRESCALE_FACTOR_ALGO_010,PRESCALE_FACTOR_ALGO_011,
203     PRESCALE_FACTOR_ALGO_012,PRESCALE_FACTOR_ALGO_013,PRESCALE_FACTOR_ALGO_014,PRESCALE_FACTOR_ALGO_015,PRESCALE_FACTOR_ALGO_016,PRESCALE_FACTOR_ALGO_017,
204     PRESCALE_FACTOR_ALGO_018,PRESCALE_FACTOR_ALGO_019,PRESCALE_FACTOR_ALGO_020,PRESCALE_FACTOR_ALGO_021,PRESCALE_FACTOR_ALGO_022,PRESCALE_FACTOR_ALGO_023,
205     PRESCALE_FACTOR_ALGO_024,PRESCALE_FACTOR_ALGO_025,PRESCALE_FACTOR_ALGO_026,PRESCALE_FACTOR_ALGO_027,PRESCALE_FACTOR_ALGO_028,PRESCALE_FACTOR_ALGO_029,
206     PRESCALE_FACTOR_ALGO_030,PRESCALE_FACTOR_ALGO_031,PRESCALE_FACTOR_ALGO_032,PRESCALE_FACTOR_ALGO_033,PRESCALE_FACTOR_ALGO_034,PRESCALE_FACTOR_ALGO_035,
207     PRESCALE_FACTOR_ALGO_036,PRESCALE_FACTOR_ALGO_037,PRESCALE_FACTOR_ALGO_038,PRESCALE_FACTOR_ALGO_039,PRESCALE_FACTOR_ALGO_040,PRESCALE_FACTOR_ALGO_041,
208     PRESCALE_FACTOR_ALGO_042,PRESCALE_FACTOR_ALGO_043,PRESCALE_FACTOR_ALGO_044,PRESCALE_FACTOR_ALGO_045,PRESCALE_FACTOR_ALGO_046,PRESCALE_FACTOR_ALGO_047,
209     PRESCALE_FACTOR_ALGO_048,PRESCALE_FACTOR_ALGO_049,PRESCALE_FACTOR_ALGO_050,PRESCALE_FACTOR_ALGO_051,PRESCALE_FACTOR_ALGO_052,PRESCALE_FACTOR_ALGO_053,
210     PRESCALE_FACTOR_ALGO_054,PRESCALE_FACTOR_ALGO_055,PRESCALE_FACTOR_ALGO_056,PRESCALE_FACTOR_ALGO_057,PRESCALE_FACTOR_ALGO_058,PRESCALE_FACTOR_ALGO_059,
211     PRESCALE_FACTOR_ALGO_060,PRESCALE_FACTOR_ALGO_061,PRESCALE_FACTOR_ALGO_062,PRESCALE_FACTOR_ALGO_063,PRESCALE_FACTOR_ALGO_064,PRESCALE_FACTOR_ALGO_065,
212     PRESCALE_FACTOR_ALGO_066,PRESCALE_FACTOR_ALGO_067,PRESCALE_FACTOR_ALGO_068,PRESCALE_FACTOR_ALGO_069,PRESCALE_FACTOR_ALGO_070,PRESCALE_FACTOR_ALGO_071,
213     PRESCALE_FACTOR_ALGO_072,PRESCALE_FACTOR_ALGO_073,PRESCALE_FACTOR_ALGO_074,PRESCALE_FACTOR_ALGO_075,PRESCALE_FACTOR_ALGO_076,PRESCALE_FACTOR_ALGO_077,
214     PRESCALE_FACTOR_ALGO_078,PRESCALE_FACTOR_ALGO_079,PRESCALE_FACTOR_ALGO_080,PRESCALE_FACTOR_ALGO_081,PRESCALE_FACTOR_ALGO_082,PRESCALE_FACTOR_ALGO_083,
215     PRESCALE_FACTOR_ALGO_084,PRESCALE_FACTOR_ALGO_085,PRESCALE_FACTOR_ALGO_086,PRESCALE_FACTOR_ALGO_087,PRESCALE_FACTOR_ALGO_088,PRESCALE_FACTOR_ALGO_089,
216     PRESCALE_FACTOR_ALGO_090,PRESCALE_FACTOR_ALGO_091,PRESCALE_FACTOR_ALGO_092,PRESCALE_FACTOR_ALGO_093,PRESCALE_FACTOR_ALGO_094,PRESCALE_FACTOR_ALGO_095,
217     PRESCALE_FACTOR_ALGO_096,PRESCALE_FACTOR_ALGO_097,PRESCALE_FACTOR_ALGO_098,PRESCALE_FACTOR_ALGO_099,PRESCALE_FACTOR_ALGO_100,PRESCALE_FACTOR_ALGO_101,
218     PRESCALE_FACTOR_ALGO_102,PRESCALE_FACTOR_ALGO_103,PRESCALE_FACTOR_ALGO_104,PRESCALE_FACTOR_ALGO_105,PRESCALE_FACTOR_ALGO_106,PRESCALE_FACTOR_ALGO_107,
219     PRESCALE_FACTOR_ALGO_108,PRESCALE_FACTOR_ALGO_109,PRESCALE_FACTOR_ALGO_110,PRESCALE_FACTOR_ALGO_111,PRESCALE_FACTOR_ALGO_112,PRESCALE_FACTOR_ALGO_113,
220     PRESCALE_FACTOR_ALGO_114,PRESCALE_FACTOR_ALGO_115,PRESCALE_FACTOR_ALGO_116,PRESCALE_FACTOR_ALGO_117,PRESCALE_FACTOR_ALGO_118,PRESCALE_FACTOR_ALGO_119,
221     PRESCALE_FACTOR_ALGO_120,PRESCALE_FACTOR_ALGO_121,PRESCALE_FACTOR_ALGO_122,PRESCALE_FACTOR_ALGO_123,PRESCALE_FACTOR_ALGO_124,PRESCALE_FACTOR_ALGO_125,
222     PRESCALE_FACTOR_ALGO_126,PRESCALE_FACTOR_ALGO_127
223     FROM CMS_GT.GT_FDL_PRESCALE_FACTORS_ALGO A, CMS_GT.GT_RUN_SETTINGS_PRESC_VIEW B
224     WHERE A.ID=B.PRESCALE_FACTORS_ALGO_FK AND B.ID='%s'
225     """ % (GTRS_Key,)
226     curs.execute(L1PrescalesQuery)
227     ## This is pretty horrible, but this how you get them!!
228     tmp = curs.fetchall()
229     L1PrescaleTable = []
230     for ps in tmp[0]: #build the prescale table initially
231     L1PrescaleTable.append([ps])
232     for line in tmp[1:]: # now fill it
233     for ps,index in zip(line,range(len(line))):
234     L1PrescaleTable[index].append(ps)
235     return L1PrescaleTable
236    
237 amott 1.2 def isSequential(row,ignore):
238 amott 1.1 seq = True
239 amott 1.2 lastEntry=999999999999
240     for i,entry in enumerate(row):
241     if i in ignore:
242     continue
243 amott 1.1 if entry > lastEntry and lastEntry!=0:
244     seq = False
245     break
246     lastEntry = entry
247     return seq
248    
249     if __name__=='__main__':
250     main()