def correct_scan(self):
try:
if 'ScanDescr' in self.standards and self.standards['ScanDescr']['metadata']:
scanstr = '' + self.data[0]['ScanDescr'][0]
for s in self.data[0]['ScanDescr'][1:]:
scanstr += ' ' + s
myparser = scanparser3.scanparser(scanstr)
scanlc = myparser.get_varying()
scan = []
for s in self.standards:
if s.lower() in scanlc:
scan.append(s)
self.standards['Scan'] = Standard(metadata = True).__dict__
self.standards['ScanRanges'] = Standard(metadata = True).__dict__
for p in self.data:
p['ScanRanges'] = scan
p['Scan'] = scan
except:
for p in self.data:
p['ScanRanges'] = ['QY']
p['Scan'] = ['QY']
def correct_scan(self):
try:
if 'ScanDescr' in self.standards and self.standards['ScanDescr'][
'metadata']:
scanstr = '' + self.data[0]['ScanDescr'][0]
for s in self.data[0]['ScanDescr'][1:]:
scanstr += ' ' + s
myparser = scanparser3.scanparser(scanstr)
scanlc = myparser.get_varying()
scan = []
for s in self.standards:
if s.lower() in scanlc:
scan.append(s)
self.standards['Scan'] = Standard(metadata=True).__dict__
self.standards['ScanRanges'] = Standard(metadata=True).__dict__
for p in self.data:
p['ScanRanges'] = scan
p['Scan'] = scan
except:
for p in self.data:
p['ScanRanges'] = ['QY']
p['Scan'] = ['QY']
def readbt7(self,myfile):
#get first line
myFlag=True
#self.metadata={}
self.header=[]
returnline=['']
while myFlag:
tokenized=get_tokenized_line(myfile,returnline=returnline)
#print tokenized
if tokenized==[]:
tokenized=['']
if tokenized[0].lower()=="#Date".lower():
pass
if tokenized[0].lower()=="#Date".lower():
date_tokens=tokenized[1].split('-')
month=int(date_tokens[1].strip("\'"))
day=int(date_tokens[2].strip("\'"))
year=int(date_tokens[0].strip("\'"))
stime=tokenized[2].strip("\'")
stimetok=stime.split(':')
hour=int(stimetok[0])
minute=int(stimetok[1])
second=int(stimetok[2])
self.metadata['month']=int(date_tokens[1].strip("\'"))
self.metadata['day']=int(date_tokens[2].strip("\'"))
self.metadata['year']=int(date_tokens[0].strip("\'"))
self.metadata['start_time']=tokenized[2].strip("\'")
elif tokenized[0].lower()=="#Epoch".lower():
#timeobj=date.datatetime(year,month,day,hour,minute,second)
Epoch=float(tokenized[1])
#timeobj=mx.DateTime.DateTimeFromTicks(ticks=Epoch) #what I originally used
timeobj=datetime.datetime.fromtimestamp(Epoch)
#print 'timeobj ',timeobj
#print 'Epoch ', Epoch
self.metadata['epoch']=Epoch#timeobj
#print self.metadata
elif tokenized[0].lower()=="#InstrName".lower():
self.metadata['instrument']=tokenized[1].lower()
elif tokenized[0].lower()=="#ExptID".lower():
self.metadata['experiment_id']=tokenized[1].lower()
elif tokenized[0].lower()=="#Fixed".lower():
self.metadata['fixed_devices']=tokenized[1:]
elif tokenized[0].lower()=="#Filename".lower():
self.metadata['filename']=tokenized[1]
#print 'filename ', tokenized[1]
pattern = re.compile('^(?P<base>[^.]*?)(?P<seq>[0-9]*)(?P<ext>[.].*)?$')
match = pattern.match(tokenized[1]+'.bt7')
dict((a,match.group(a)+"") for a in ['base','seq','ext'])
#print 'filebase ',match.group('base')
self.metadata['filebase']=match.group('base')
self.metadata['fileseq_number']=match.group('seq')
elif tokenized[0].lower()=="#Comment".lower():
mycomment=''
for i in range(1,len(tokenized)):
mycomment=mycomment+' '+tokenized[i]
self.metadata['comment']=mycomment
elif tokenized[0].lower()=="#MonoSpacing".lower():
self.metadata['monochromator_dspacing']=float(tokenized[1])
elif tokenized[0].lower()=="#AnaSpacing".lower():
self.metadata['analyzer_dspacing']=float(tokenized[1])
elif tokenized[0].lower()=="#TemperatureUnits".lower():
self.metadata['temperature_units']=tokenized[1]
elif tokenized[0].lower()=="#Orient".lower():
self.metadata['orient1']['h']=float(tokenized[1])
self.metadata['orient1']['k']=float(tokenized[2])
self.metadata['orient1']['l']=float(tokenized[3])
self.metadata['orient2']['h']=float(tokenized[4])
self.metadata['orient2']['k']=float(tokenized[5])
self.metadata['orient2']['l']=float(tokenized[6])
elif tokenized[0].lower()=="#Lattice".lower():
self.metadata['lattice']['a']=float(tokenized[1])
self.metadata['lattice']['b']=float(tokenized[2])
self.metadata['lattice']['c']=float(tokenized[3])
self.metadata['lattice']['alpha']=float(tokenized[4])
self.metadata['lattice']['beta']=float(tokenized[5])
self.metadata['lattice']['gamma']=float(tokenized[6])
elif tokenized[0].lower()=="#AnalyzerDetectorMode".lower():
self.metadata['analyzerdetectormode']=tokenized[2].lower()
elif tokenized[0].lower()=="#Reference".lower():
self.metadata['count_type']=tokenized[2].lower()
elif tokenized[0].lower()=="#Signal".lower():
self.metadata['signal']=tokenized[2].lower()
elif tokenized[0].lower()=="#AnalyzerDetectorDevicesOfInterest".lower():
self.metadata['AnalyzerDetectorDevicesOfInterest'.lower()]=tokenized[1:]
elif tokenized[0].lower()=="#AnalyzerDDGroup".lower():
self.metadata['AnalyzerDDGroup'.lower()]=tokenized[1:]
elif tokenized[0].lower()=="#AnalyzerDoorDetectorGroup".lower():
self.metadata['AnalyzerDoorDetectorGroup'.lower()]=tokenized[1:]
elif tokenized[0].lower()=="#AnalyzerSDGroup".lower():
self.metadata['AnalyzerSDGroup'.lower()]=tokenized[1:]
elif tokenized[0].lower()=="#AnalyzerPSDGroup".lower():
self.metadata['AnalyzerPSDGroup'.lower()]=tokenized[1:]
elif tokenized[0].lower()=="#AnalyzerFocusMode".lower():
self.metadata['analyzerfocusmode'.lower()]=tokenized[1]
elif tokenized[0].lower()=="#MonoVertiFocus".lower():
self.metadata['monovertifocus'.lower()]=tokenized[1]
elif tokenized[0].lower()=="#MonoHorizFocus".lower():
self.metadata['monohorizfocus'.lower()]=tokenized[1]
elif tokenized[0].lower()=="#FixedE".lower():
try:
self.metadata['efixed'.lower()]=tokenized[1]
except IndexError:
pass
try:
self.metadata['ef'.lower()]=float(tokenized[2])
except IndexError:
pass
elif tokenized[0].lower()=="#ScanDescr".lower():
scanstr=''
for i in range(1,len(tokenized)):
scanstr=scanstr+tokenized[i]+' '
self.metadata['scan_description']=scanstr
#print 'scanstr',scanstr
myparser=scanparser.scanparser(scanstr)
self.metadata['varying']=myparser.get_varying()
self.metadata['ranges']=myparser.ranges
#print 'parsed'
#if self.metadata['filebase']!='fpx':
# self.additional_metadata['parsed_scandescription']=self.parse_scan(scanstr)
#CAN'T SEEM TO PARSE fpx files, but if the filename is broken as in the last cycle, then how do I know?
#Better soln is to fix parser
#print self.metadata['scan_description']['range']
else:
currfield=tokenized[0].lower().lower().strip('#')
self.additional_metadata[currfield]=(tokenized[1:])
if tokenized[0]!='#Columns'.lower():
self.header.append(returnline[0])
if tokenized[0]=='#Columns'.lower():
self.get_columnmetadatas_bt7(tokenized)
count = 0
try:
lines=int(self.lines)
except:
lines=N.Inf
while 1:
lineStr = myfile.readline()
if not(lineStr):
break
if lineStr[0] != "#":
if count>=lines:
break
strippedLine=lineStr.rstrip()
tokenized=strippedLine.split()
for i in range(len(tokenized)):
field=self.columnlist[i]
try:
if field.lower()=='time' and self.timestamp_flag==False:
#timedelta=mx.DateTime.DateTimeDelta(0,0,0,float(tokenized[i])) #orig
#self.columndict['timestamp'].append((timeobj+timedelta).ticks()) #orig
#timestamp_flag is True if the timestamp is already given in the file
timedelta=datetime.timedelta(seconds=float(tokenized[i]))
self.columndict['timestamp'].append(mktime((timeobj+timedelta).timetuple()))
timeobj=timeobj+timedelta
update_extrema(field, float(tokenized[i]))
self.columndict[field].append(float(tokenized[i]))
except ValueError:
#update_extrema(self, field, tokenized[i]) # is it appropriate for non-number fields?
self.columndict[field].append((tokenized[i]))
count=count+1
myFlag=False
if len(self.columndict[self.columnlist[0]])==0:
self.columndict={}
self.columnlist=[]
#This is a drastic step, but if the file is empty, then no point in even recording the placeholders
#print self.columndict['Qx']
#print self.columnlist
return
def readbt7(self, myfile):
#get first line
myFlag = True
#self.metadata={}
self.header = []
returnline = ['']
while myFlag:
tokenized = get_tokenized_line(myfile, returnline=returnline)
#print tokenized
if tokenized == []:
tokenized = ['']
if tokenized[0].lower() == "#Date".lower():
pass
if tokenized[0].lower() == "#Date".lower():
date_tokens = tokenized[1].split('-')
self.metadata['timestamp'] = {}
month = int(date_tokens[1].strip("\'"))
day = int(date_tokens[2].strip("\'"))
year = int(date_tokens[0].strip("\'"))
stime = tokenized[2].strip("\'")
stimetok = stime.split(':')
hour = int(stimetok[0])
minute = int(stimetok[1])
second = int(stimetok[2])
self.metadata['timestamp']['month'] = int(
date_tokens[1].strip("\'"))
self.metadata['timestamp']['day'] = int(
date_tokens[2].strip("\'"))
self.metadata['timestamp']['year'] = int(
date_tokens[0].strip("\'"))
self.metadata['timestamp']['time'] = tokenized[2].strip("\'")
elif tokenized[0].lower() == "#Epoch".lower():
#timeobj=date.datatetime(year,month,day,hour,minute,second)
Epoch = float(tokenized[1])
#timeobj=mx.DateTime.DateTimeFromTicks(ticks=Epoch) #what I originally used
timeobj = datetime.datetime.fromtimestamp(Epoch)
#print 'timeobj ',timeobj
#print 'Epoch ', Epoch
self.metadata['timestamp']['epoch'] = Epoch #timeobj
#print self.metadata['timestamp']
elif tokenized[0].lower() == "#InstrName".lower():
self.metadata['file_info']['instrument'] = tokenized[1].lower()
elif tokenized[0].lower() == "#ExptID".lower():
self.metadata['file_info']['experiment_id'] = tokenized[
1].lower()
elif tokenized[0].lower() == "#Fixed".lower():
self.metadata['file_info']['fixed_devices'] = tokenized[1:]
elif tokenized[0].lower() == "#Filename".lower():
self.metadata['file_info']['filename'] = tokenized[1]
#print 'filename ', tokenized[1]
pattern = re.compile(
'^(?P<base>[^.]*?)(?P<seq>[0-9]*)(?P<ext>[.].*)?$')
match = pattern.match(tokenized[1] + '.bt7')
dict((a, match.group(a) + "") for a in ['base', 'seq', 'ext'])
#print 'filebase ',match.group('base')
self.metadata['file_info']['filebase'] = match.group('base')
self.metadata['file_info']['fileseq_number'] = match.group(
'seq')
elif tokenized[0].lower() == "#Comment".lower():
mycomment = ''
for i in range(1, len(tokenized)):
mycomment = mycomment + ' ' + tokenized[i]
self.metadata['file_info']['comment'] = mycomment
elif tokenized[0].lower() == "#MonoSpacing".lower():
self.metadata['dspacing']['monochromator_dspacing'] = float(
tokenized[1])
elif tokenized[0].lower() == "#AnaSpacing".lower():
self.metadata['dspacing']['analyzer_dspacing'] = float(
tokenized[1])
elif tokenized[0].lower() == "#TemperatureUnits".lower():
self.metadata['temperature_info']['units'] = tokenized[1]
elif tokenized[0].lower() == "#Orient".lower():
self.metadata['orient1']['h'] = float(tokenized[1])
self.metadata['orient1']['k'] = float(tokenized[2])
self.metadata['orient1']['l'] = float(tokenized[3])
self.metadata['orient2']['h'] = float(tokenized[4])
self.metadata['orient2']['k'] = float(tokenized[5])
self.metadata['orient2']['l'] = float(tokenized[6])
elif tokenized[0].lower() == "#Lattice".lower():
self.metadata['lattice']['a'] = float(tokenized[1])
self.metadata['lattice']['b'] = float(tokenized[2])
self.metadata['lattice']['c'] = float(tokenized[3])
self.metadata['lattice']['alpha'] = float(tokenized[4])
self.metadata['lattice']['beta'] = float(tokenized[5])
self.metadata['lattice']['gamma'] = float(tokenized[6])
elif tokenized[0].lower() == "#AnalyzerDetectorMode".lower():
self.metadata['count_info'][
'analyzerdetectormode'] = tokenized[2].lower()
elif tokenized[0].lower() == "#Reference".lower():
self.metadata['count_info']['count_type'] = tokenized[2].lower(
)
elif tokenized[0].lower() == "#Signal".lower():
self.metadata['count_info']['signal'] = tokenized[2].lower()
elif tokenized[0].lower(
) == "#AnalyzerDetectorDevicesOfInterest".lower():
self.metadata['count_info']['AnalyzerDetectorDevicesOfInterest'
.lower()] = tokenized[1:]
elif tokenized[0].lower() == "#AnalyzerDDGroup".lower():
self.metadata['count_info'][
'AnalyzerDDGroup'.lower()] = tokenized[1:]
elif tokenized[0].lower() == "#AnalyzerDoorDetectorGroup".lower():
self.metadata['count_info'][
'AnalyzerDoorDetectorGroup'.lower()] = tokenized[1:]
elif tokenized[0].lower() == "#AnalyzerSDGroup".lower():
self.metadata['count_info'][
'AnalyzerSDGroup'.lower()] = tokenized[1:]
elif tokenized[0].lower() == "#AnalyzerPSDGroup".lower():
self.metadata['count_info'][
'AnalyzerPSDGroup'.lower()] = tokenized[1:]
elif tokenized[0].lower() == "#AnalyzerFocusMode".lower():
self.metadata['count_info'][
'analyzerfocusmode'.lower()] = tokenized[1]
elif tokenized[0].lower() == "#MonoVertiFocus".lower():
self.metadata['count_info'][
'monovertifocus'.lower()] = tokenized[1]
elif tokenized[0].lower() == "#MonoHorizFocus".lower():
self.metadata['count_info'][
'monohorizfocus'.lower()] = tokenized[1]
elif tokenized[0].lower() == "#FixedE".lower():
try:
self.metadata['energy_info'][
'efixed'.lower()] = tokenized[1]
except IndexError:
pass
try:
self.metadata['energy_info']['ef'.lower()] = float(
tokenized[2])
except IndexError:
pass
elif tokenized[0].lower() == "#ScanDescr".lower():
scanstr = ''
for i in range(1, len(tokenized)):
scanstr = scanstr + tokenized[i] + ' '
self.metadata['file_info']['scan_description'] = scanstr
#print 'scanstr',scanstr
myparser = scanparser.scanparser(scanstr)
self.metadata['count_info']['varying'] = myparser.get_varying()
self.metadata['count_info']['ranges'] = myparser.ranges
#print 'parsed'
#if self.metadata['file_info']['filebase']!='fpx':
# self.additional_metadata['parsed_scandescription']=self.parse_scan(scanstr)
#CAN'T SEEM TO PARSE fpx files, but if the filename is broken as in the last cycle, then how do I know?
#Better soln is to fix parser
#print self.metadata['scan_description']['range']
else:
currfield = tokenized[0].lower().lower().strip('#')
self.additional_metadata[currfield] = (tokenized[1:])
if tokenized[0] != '#Columns'.lower():
self.header.append(returnline[0])
if tokenized[0] == '#Columns'.lower():
self.get_columnmetadatas_bt7(tokenized)
count = 0
try:
lines = int(self.lines)
except:
lines = N.Inf
while 1:
lineStr = myfile.readline()
if not (lineStr):
break
if lineStr[0] != "#":
if count >= lines:
break
strippedLine = lineStr.rstrip()
tokenized = strippedLine.split()
for i in range(len(tokenized)):
field = self.columnlist[i]
try:
if field.lower(
) == 'time' and self.timestamp_flag == False:
#timedelta=mx.DateTime.DateTimeDelta(0,0,0,float(tokenized[i])) #orig
#self.columndict['timestamp'].append((timeobj+timedelta).ticks()) #orig
#timestamp_flag is True if the timestamp is already given in the file
timedelta = datetime.timedelta(
seconds=float(tokenized[i]))
self.columndict['timestamp'].append(
mktime(
(timeobj + timedelta).timetuple()))
timeobj = timeobj + timedelta
self.columndict[field].append(
float(tokenized[i]))
except ValueError:
self.columndict[field].append((tokenized[i]))
count = count + 1
myFlag = False
if len(self.columndict[self.columnlist[0]]) == 0:
self.columndict = {}
self.columnlist = []
#This is a drastic step, but if the file is empty, then no point in even recording the placeholders
#print self.columndict['Qx']
#print self.columnlist
return
def readbt7(self, myfile):
# get first line
myFlag = True
# self.metadata={}
self.header = []
returnline = [""]
while myFlag:
tokenized = get_tokenized_line(myfile, returnline=returnline)
# print tokenized
if tokenized == []:
tokenized = [""]
if tokenized[0].lower() == "#Date".lower():
pass
if tokenized[0].lower() == "#Date".lower():
date_tokens = tokenized[1].split("-")
self.metadata["timestamp"] = {}
month = int(date_tokens[1].strip("'"))
day = int(date_tokens[2].strip("'"))
year = int(date_tokens[0].strip("'"))
stime = tokenized[2].strip("'")
stimetok = stime.split(":")
hour = int(stimetok[0])
minute = int(stimetok[1])
second = int(stimetok[2])
self.metadata["timestamp"]["month"] = int(date_tokens[1].strip("'"))
self.metadata["timestamp"]["day"] = int(date_tokens[2].strip("'"))
self.metadata["timestamp"]["year"] = int(date_tokens[0].strip("'"))
self.metadata["timestamp"]["time"] = tokenized[2].strip("'")
elif tokenized[0].lower() == "#Epoch".lower():
# timeobj=date.datatetime(year,month,day,hour,minute,second)
Epoch = float(tokenized[1])
# timeobj=mx.DateTime.DateTimeFromTicks(ticks=Epoch) #what I originally used
timeobj = datetime.datetime.fromtimestamp(Epoch)
# print 'timeobj ',timeobj
# print 'Epoch ', Epoch
self.metadata["timestamp"]["epoch"] = Epoch # timeobj
# print self.metadata['timestamp']
elif tokenized[0].lower() == "#InstrName".lower():
self.metadata["file_info"]["instrument"] = tokenized[1].lower()
elif tokenized[0].lower() == "#ExptID".lower():
self.metadata["file_info"]["experiment_id"] = tokenized[1].lower()
elif tokenized[0].lower() == "#Fixed".lower():
self.metadata["file_info"]["fixed_devices"] = tokenized[1:]
elif tokenized[0].lower() == "#Filename".lower():
self.metadata["file_info"]["filename"] = tokenized[1]
# print 'filename ', tokenized[1]
pattern = re.compile("^(?P<base>[^.]*?)(?P<seq>[0-9]*)(?P<ext>[.].*)?$")
match = pattern.match(tokenized[1] + ".bt7")
dict((a, match.group(a) + "") for a in ["base", "seq", "ext"])
# print 'filebase ',match.group('base')
self.metadata["file_info"]["filebase"] = match.group("base")
self.metadata["file_info"]["fileseq_number"] = match.group("seq")
elif tokenized[0].lower() == "#Comment".lower():
mycomment = ""
for i in range(1, len(tokenized)):
mycomment = mycomment + " " + tokenized[i]
self.metadata["file_info"]["comment"] = mycomment
elif tokenized[0].lower() == "#MonoSpacing".lower():
self.metadata["dspacing"]["monochromator_dspacing"] = float(tokenized[1])
elif tokenized[0].lower() == "#AnaSpacing".lower():
self.metadata["dspacing"]["analyzer_dspacing"] = float(tokenized[1])
elif tokenized[0].lower() == "#TemperatureUnits".lower():
self.metadata["temperature_info"]["units"] = tokenized[1]
elif tokenized[0].lower() == "#Orient".lower():
self.metadata["orient1"]["h"] = float(tokenized[1])
self.metadata["orient1"]["k"] = float(tokenized[2])
self.metadata["orient1"]["l"] = float(tokenized[3])
self.metadata["orient2"]["h"] = float(tokenized[4])
self.metadata["orient2"]["k"] = float(tokenized[5])
self.metadata["orient2"]["l"] = float(tokenized[6])
elif tokenized[0].lower() == "#Lattice".lower():
self.metadata["lattice"]["a"] = float(tokenized[1])
self.metadata["lattice"]["b"] = float(tokenized[2])
self.metadata["lattice"]["c"] = float(tokenized[3])
self.metadata["lattice"]["alpha"] = float(tokenized[4])
self.metadata["lattice"]["beta"] = float(tokenized[5])
self.metadata["lattice"]["gamma"] = float(tokenized[6])
elif tokenized[0].lower() == "#AnalyzerDetectorMode".lower():
self.metadata["count_info"]["analyzerdetectormode"] = tokenized[2].lower()
elif tokenized[0].lower() == "#Reference".lower():
self.metadata["count_info"]["count_type"] = tokenized[2].lower()
elif tokenized[0].lower() == "#Signal".lower():
self.metadata["count_info"]["signal"] = tokenized[2].lower()
elif tokenized[0].lower() == "#AnalyzerDetectorDevicesOfInterest".lower():
self.metadata["count_info"]["AnalyzerDetectorDevicesOfInterest".lower()] = tokenized[1:]
elif tokenized[0].lower() == "#AnalyzerDDGroup".lower():
self.metadata["count_info"]["AnalyzerDDGroup".lower()] = tokenized[1:]
elif tokenized[0].lower() == "#AnalyzerDoorDetectorGroup".lower():
self.metadata["count_info"]["AnalyzerDoorDetectorGroup".lower()] = tokenized[1:]
elif tokenized[0].lower() == "#AnalyzerSDGroup".lower():
self.metadata["count_info"]["AnalyzerSDGroup".lower()] = tokenized[1:]
elif tokenized[0].lower() == "#AnalyzerPSDGroup".lower():
self.metadata["count_info"]["AnalyzerPSDGroup".lower()] = tokenized[1:]
elif tokenized[0].lower() == "#AnalyzerFocusMode".lower():
self.metadata["count_info"]["analyzerfocusmode".lower()] = tokenized[1]
elif tokenized[0].lower() == "#MonoVertiFocus".lower():
self.metadata["count_info"]["monovertifocus".lower()] = tokenized[1]
elif tokenized[0].lower() == "#MonoHorizFocus".lower():
self.metadata["count_info"]["monohorizfocus".lower()] = tokenized[1]
elif tokenized[0].lower() == "#FixedE".lower():
try:
self.metadata["energy_info"]["efixed".lower()] = tokenized[1]
except IndexError:
pass
try:
self.metadata["energy_info"]["ef".lower()] = float(tokenized[2])
except IndexError:
pass
elif tokenized[0].lower() == "#ScanDescr".lower():
scanstr = ""
for i in range(1, len(tokenized)):
scanstr = scanstr + tokenized[i] + " "
self.metadata["file_info"]["scan_description"] = scanstr
# print 'scanstr',scanstr
myparser = scanparser.scanparser(scanstr)
self.metadata["count_info"]["varying"] = myparser.get_varying()
self.metadata["count_info"]["ranges"] = myparser.ranges
# print 'parsed'
# if self.metadata['file_info']['filebase']!='fpx':
# self.additional_metadata['parsed_scandescription']=self.parse_scan(scanstr)
# CAN'T SEEM TO PARSE fpx files, but if the filename is broken as in the last cycle, then how do I know?
# Better soln is to fix parser
# print self.metadata['scan_description']['range']
else:
currfield = tokenized[0].lower().lower().strip("#")
self.additional_metadata[currfield] = tokenized[1:]
if tokenized[0] != "#Columns".lower():
self.header.append(returnline[0])
if tokenized[0] == "#Columns".lower():
self.get_columnmetadatas_bt7(tokenized)
count = 0
try:
lines = int(self.lines)
except:
lines = N.Inf
while 1:
lineStr = myfile.readline()
if not (lineStr):
break
if lineStr[0] != "#":
if count >= lines:
break
strippedLine = lineStr.rstrip()
tokenized = strippedLine.split()
for i in range(len(tokenized)):
field = self.columnlist[i]
try:
if field.lower() == "time" and self.timestamp_flag == False:
# timedelta=mx.DateTime.DateTimeDelta(0,0,0,float(tokenized[i])) #orig
# self.columndict['timestamp'].append((timeobj+timedelta).ticks()) #orig
# timestamp_flag is True if the timestamp is already given in the file
timedelta = datetime.timedelta(seconds=float(tokenized[i]))
self.columndict["timestamp"].append(mktime((timeobj + timedelta).timetuple()))
timeobj = timeobj + timedelta
self.columndict[field].append(float(tokenized[i]))
except ValueError:
self.columndict[field].append((tokenized[i]))
count = count + 1
myFlag = False
if len(self.columndict[self.columnlist[0]]) == 0:
self.columndict = {}
self.columnlist = []
# This is a drastic step, but if the file is empty, then no point in even recording the placeholders
# print self.columndict['Qx']
# print self.columnlist
return