def writeout_processor_file(elem,options=Options()):
"""Write Processor File
:param elem: the processor specification
:type elem: a filename or specification line
:Example:
e4t --request random://uniform/VAR~:2012-12-31~2012-01-01~D \
--processor FORMULA=J;J=VAR*100
"""
if not elem:
return
_dict = udict()
for i,e in enumerate(elem):
if exists(e):
_dict = cfg2hash(e)
else:
_d = udict({ 'kind':'processor',
'active':'yes' ,
'name': 'BASIC',
'operations': 'FORMULA',
})
_in=as_dict(e,";")
_d.update(_in)
if not _d.has_key('FORMULA'):
_d['FORMULA']=','.join(sorted([ k for k in _in.keys() if k not in ('DROP',) ]))
if len(_d['FORMULA'])==0: del _d['FORMULA']
job = 'PROC%d'%i
_dict[job]=_d
_dict['PROCESSOR']=udict({ 'processors': ','.join(sorted(_dict.keys()))})
return writeout_file(_dict,header='# processor file')
def writeout_joblist_file(elem,dname,pname,options=Options()):
"""Write a joblist file from a data-request and processor file
:param elem: output specification
:kind elem: string or filename
:param dname: data-request file name
:kind dname: filename
:param pname: processor step file name
:kind pname: filename
if elem is none then set up only dataset (and processor, if any) steps in joblist.
"""
def _get_elem_kind(conf):
if re.match('^T_',conf):
return 'table'
elif re.match('^F_',conf):
return 'figure'
return 'composite'
print "E=",elem
if not elem: # dataset
_D = { 'REQ' : {
'active' : 'yes',
'kind' : 'figure',
'panels': 'A11',
'datareq': dname
},
}
_D['A11'] = {
'SERIES': 'OUTS'
}
ofile = writeout_file(_D,header='# output file',options=options)
_d = { 'dataset': 'output.xls',
'kind': 'figure',
'output': ofile
}
if pname:
_d['processor']=pname
_dict={ 'BASE' : { 'jobs': 'JOBS' } , 'JOBS': { 'JOBS':'REQ', 'KIND': 'joblist' }, 'REQ' : _d }
setattr(options,'load',True)
return writeout_file(_dict,header='# joblist file',options=options)
kind = 'figure'
# Se esiste un output file
_dict = {}
for i,e in enumerate(elem):
print i,e
conf = None
if is_dict(e):
# l'output file deve essere generato dell'opzione stessa
_d = udict(as_dict(e))
if not nested_dict(_d):
# opzione semplice (es. series=A,B,C)
# Aggiungo
_D = { 'REQ' : {
'active' : 'yes',
'kind' : 'figure',
'panels': 'A11'
},
}
_D['A11'] = _d
_d = _D
label = 'REQ'
_dict.update(_d)
else:
if ':' in e:
if e.count(':')==2:
(kind,label,conf) = e.split(':')
elif e.count(':')==1:
(label,conf) = e.split(':')
kind = _get_elem_kind(conf)
elif e.count(':')>2:
raise ValueError, e
if conf:
_dict = cfg2hash(conf)
options.process_path=dirname(conf)
if conf is None:
conf = e
kind = _get_elem_kind(conf)
m = re.search('[TFC]_([a-zA-Z0-9_]+)$',conf)
if m:
label = m.group(1)
else:
label = "ELEM"
_d = { 'kind' : kind,
'label': label,
'output' : conf,
}
_dict[label]=_d
oname = writeout_file(_dict,header='# output file',options=options)
if 'OUT' in options.look:
lookout(oname,'Configurazione di output',options=options)
_d = udict({
'dataset': 'output.xls' ,
'kind': kind,
'output': '%s' % oname,
})
if dname:
_d['datareq']=dname
if pname:
_d['processor']=pname
_dict={ 'BASE' : { 'jobs': 'JOBS' } , 'JOBS': { 'JOBS':label, 'KIND': 'joblist', 'files': 'sristat.sty' }, label : _d }
return writeout_file(_dict,header='# joblist file',options=options)
