DybDbi Namespace Reference

Concept Helper class for context manipulations More...

Namespaces
namespace	cleaner
namespace	csv_tools
namespace	csvrw
namespace	dbicopy
namespace	dbspin
namespace	dbwrite_orphan
namespace	desc
namespace	dummy
namespace	fakeRG
namespace	ilookup
namespace	mapper
namespace	mapr
namespace	pariahRG
namespace	physad
namespace	propagate_grouping
namespace	rationalize
namespace	rationalizeRG
namespace	rollback
namespace	test_csv_tools
namespace	test_csvrw
namespace	test_dbi_level_RG
namespace	test_dbi_scan_RG
namespace	test_mapper
namespace	test_mapr
namespace	test_rationalize
namespace	test_svc_level
namespace	test_svc_level_RG
namespace	test_vld_groups
namespace	TimeStampExt
namespace	tools
namespace	vld
namespace	vrb
namespace	vrec
namespace	wrap

---

Detailed Description

Concept Helper class for context manipulations

Concept Hub class to facilitate access to Dbi singletons from python

Providing * decoding of string representation of a ctx eg Site.kAll,SimFlag.kMC,TimeStamp.kNOW,DetectorId.kUnknown * ctx change tracking * ctx updating by string

NB AVOID DUPLICATION BETWEEN DbiWrt DbiRpt ... PUT COMMON THINGS IN DbiCtx

Providing

DybDbi python package provides access to most Dbi functionality,  
with generation of classes based on .spec files and wrapping of the 
python classes for easier usage,  enabling access to model objects via::
 
   from DybDbi import GCalibPmtSpec
   from DybDbi import *


Example of introspecting the specification::

   sk = GCalibPmtSpec.SpecKeys().aslist()    # list of row names
   sk
     ['PmtId',
      'Describ',
      'Status',
     ...

   sl = GCalibPmtSpec.SpecList().aslod()    # list of row maps ... list-of-dict 
   sl
     [{'code2db': '',
       'codetype': 'int',
       'dbtype': 'int(11)',
       'description': '',
       'legacy': 'PMTID',
       'memb': 'm_pmtId',
       'name': 'PmtId'},
      ...

   sm = GCalibPmtSpec.SpecMap().asdod()     # map of row maps, keyed by name    dict-of-dict
   sm
         {'AfterPulseProb': {'code2db': '',
                             'codetype': 'double',
                             'dbtype': 'float',
                             'description': 'Probability of afterpulsing',
                             'legacy': 'PMTAFTERPULSE',
                             'memb': 'm_afterPulseProb',
                             'name': 'AfterPulseProb'},
       ...

   sm['TimeOffset']['description']    # access any aspect of spec "matrix" directly by name
        'Relative transit time offset'


   sk = cls.SpecKeys().aslist()
   sm = cls.SpecMap().asdod()
   for k in sk:
       print sm[k]