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spec_reader.py
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/
spec_reader.py
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# SPEC reader
# 2016-11-23
# Sam Tardif (samuel.tardif@gmail.com)
# Python3 compatibility by Nils Blanc
import numpy as np
import os.path
import string
class SpecFile:
"""
Simple class to read SPEC file. The main purposes are :
(i) read the header and initiate the relevant properties
(ii) build a dictionary of the scan number and their binary position in the file
The latter allows for faster subsequent scan reading
Definition:
-----------
SpecFile(spec_file, verbose = False)
> spec_file : string
> scan_numbers : integer or as tuple/list/array of integer
Attributes (typical):
-----------
comments........all comments
date............scan start datestamp
file............string of the SPEC file name
scan_dict.......dictionary {scan number : binary position in file}
Examples:
--------
# read the specfile
In : sf = SpecFile('./lineup0.dat')
"""
# dictionary definitions for handling the spec identifiers
def __param__(self):
return { 'S' : self.__scanline__,
'D' : self.__dating__,
'T' : self.__counting__,
'G' : self.__configurating__,
'Q' : self.__hkl__,
'O' : self.__motorslabeling__,
'o' : self.__motorslabelingnospace__,
'P' : self.__positioning__,
'M' : self.__marccdpath__,
'N' : self.__speccol__,
'L' : self.__counterslabeling__,
'J' : self.__allcounterslabeling__,
'j' : self.__allcounterslabelingnospace__,
'C' : self.__commenting__,
'E' : self.__initialepoch__,
'F' : self.__specfilenaming__,
'@' : self.__special__,
'XIAFILE' : self.__xiafilenaming__,
'XIACALIB' : self.__xiacalibrating__,
'XIAROI' : self.__xiaroidefining__,
'ULIMA_mpx4' : self.__limampx4path__,
'UDETCALIB' : self.__detcalib__}
def __scanline__(self, l):
self.number = int(l.split()[1])
self.type = l.split()[2]
self.args = l.split()[3:]
self.command = l[3+len(l.split()[1])+2:].rstrip()
def __dating__(self, l):
self.date = " ".join(l.split()[1:])
def __counting__(self, l):
self.ct = float(l.split()[1])
self.ct_units = l.split()[2]
def __configurating__(self, l):
self.__config__ = self.__config__ + " ".join(l.split()[1:]) + " "
def __hkl__(self, l):
self.Qo = l.split()[1:]
def __motorslabeling__(self, l):
self.__motorslabels__ = self.__motorslabels__ + " ".join(l.split()[1:]) + " "
def __motorslabelingnospace__(self, l):
self.__motorslabelsnospace__ = self.__motorslabelsnospace__ + " ".join(l.split()[1:]) + " "
def __positioning__(self, l):
self.__positions__ = self.__positions__ + " ".join(l.split()[1:]) + " "
def __speccol__(self, l):
self.N = int(" ".join(l.split()[1:]))
def __counterslabeling__(self, l):
# column labels
self.counters = l.split()[1:]
def __allcounterslabeling__(self, l):
# all counters in the experiment
self.__counters__ = self.__counters__ + " ".join(l.split()[1:]) + " "
def __allcounterslabelingnospace__(self, l):
# all counters in the experiment
self.__countersnospace__ = self.__countersnospace__ + " ".join(l.split()[1:]) + " "
def __specfilenaming__(self, l):
self.specfilename = l.split()[1:]
def __commenting__(self, l):
self.comments = self.comments + " ".join(l.split()[1:])
def __initialepoch__(self, l):
self.Epoch0 = int(l.split()[1])
def __marccdpath__(self, l):
self.M = l.split()[1:]
def __limampx4path__(self, l):
self.limampx4path = os.path.join(*l.split()[1:][0].split(os.path.sep)) #l.split()[1:][0]
def __detcalib__(self, l):
detcalib = l.split(' ')[1].split(',')
# cen_pix_x=352.585,cen_pix_y=139.262,pixperdeg=315.152,det_distance_CC=0.993,det_distance_COM=0.992,timestamp=2017-11-10T11:54:52.621448
self.detcalib_cen_pix_x = np.float(detcalib[0].split('=')[1])
self.detcalib_cen_pix_y = np.float(detcalib[1].split('=')[1])
self.detcalib_pixperdeg = np.float(detcalib[2].split('=')[1])
self.detcalib_det_distance_CC = np.float(detcalib[3].split('=')[1])
self.detcalib_det_distance_COM = np.float(detcalib[4].split('=')[1])
self.detcalib_timestamp = detcalib[5].split('=')[1]
def __special__(self, l):
self.__param__()[l[2:].split(' ')[0]](l)
def __xiafilenaming__(self, l):
self.xianame = l.split()[1:][0]
self.xiaroi = dict()
def __xiacalibrating__(self, l):
self.xiacalib = l.split()[1:][0]
def __xiaroidefining__(self, l):
self.xiaroi[l.split()[1]] = [int(l.split()[2]),int(l.split()[3]),int(l.split()[4]),int(l.split()[5]),int(l.split()[6])]
def __readSpecLine__(self,l, verbose=False):
try:
SpecKey = l.split()[0][1:]
if SpecKey[0] != "U": SpecKey = SpecKey.rstrip(string.digits) # remove trailing digits for SpecKeys other than those starting with "U" (User defined?)
self.__param__()[SpecKey](l)
except KeyError:
if verbose : print("unprocessed line (SpecKey {}): ".format(SpecKey) + l)
def __init__(self, spec_file, verbose = False):
# init a bunch of stuff that will also be used by the children class Scan
self.file = spec_file
self.__motorslabels__ = "" # list of all motors in the experiment
self.__motorslabelsnospace__ = "" # list of all motors in the experiment
self.__positions__ = "" # list the values of all motors
self.__counters__ = "" # list of all counters in the experiment
self.__countersnospace__ = "" # list of all counters in the experiment
self.__config__ = "" # list the values of the UB matrix config
self.comments = ""
self.scan_dict={} # dictionary to store the position in the file of the scans
try:
with open(spec_file,'rU') as f: # the U mode indicates universal line break, essential for accurate counting
# first read the file header (mostly comments and motors definition)
# up to the first scan (identified by a line starting with "#S"
reading_header = True
while reading_header:
position_in_file = f.tell() # get the position AHEAD of the scan first line
l = f.readline()
if len(l) > 1: # not an empty line
if l[:2] == '#S':
reading_header = False
scan_number = int(l.split()[1])
if verbose:
print("after reading the header, found scan {} at location {}".format(scan_number,position_in_file))
self.scan_dict[scan_number] = position_in_file
else:
self.__readSpecLine__(l, verbose=verbose)
reading_file = True # change this switch when the end of file is reached (i.e. read an empty string)
while reading_file:
position_in_file = f.tell() # get the position AHEAD of the scan first line
l = f.readline()
if len(l) > 1: # not an empty line
if l[:2] == '#S':
scan_number = int(l.split()[1])
if verbose:
print("found scan {} at location {}".format(scan_number,position_in_file))
self.scan_dict[scan_number] = position_in_file
if l == "":
reading_file = False
except IOError:
print("could not find the file {}".format(spec_file))
class Scan(SpecFile):
"""
Simple class to read extract scans from SPEC files. All the parameters of the scan and the data are read
and stored as attributes.
Definition:
-----------
Scan(spec_file, scan_numbers, verbose = False)
> spec_file as SpecFile object or string (in this case a SpecFile object will be instanced)
> scan_numbers as integer or as tuple/list/array of integer
Attributes:
-----------
<countername>...data in counter <countername> (see counters for description)
number..........scan number of the first scan in the list
scan_numbers....list of all the scans included
type............scan type
args............scan arguments (motor start stop npoints counting)
date............scan start datestamp
ct..............scan counting time per point
Qo..............H K L position at start of scan
M...............MarCCD image file path
N...............number of counters
counters........list of counters
motors..........dictionary of motors and their initial position
comments........all comments
tstart, tend....starting and finishing time
duration........duration in s
time_per_point..duration per point
Examples:
--------
# read the specfile
In : sf = SpecFile('./lineup0.dat')
# read the scan
In : scan = Scan(sf, 265)
# read a series of scans
In : scan = Scan(sf, (265,266,270))
In : scan = Scan(sf, arange(265,270))
# learn about the motors
In : scan.motors
Out:
{'Chi': -144.8913,
'Phi': 176.9778,
...
'xpr3z': -8.8}
# extract the info on a particular motor
In : scan.motors['tth']
Out: 35.042
# plot two counters vs each others
In : plot(scan.th,scan.det/scan.IC1)
"""
def __init__(self, spec_file, scan_numbers, verbose = False):
if type(spec_file) == str:
spec_file = SpecFile(spec_file)
self.file = spec_file.file
try :
len_scan_number = len(scan_numbers) # it is a list of scan
except TypeError:
scan_numbers = [scan_numbers,] # it is a simple scan, we make a len 0 list
scan_number = scan_numbers[0] #for all intents and purposes
# recover the names of the motors from the header of the SPEC file (i.e. the SpecFile instance)
self.__motorslabels__ = spec_file.__motorslabels__ # list of all motors in the experiment
self.__motorslabelsnospace__ = spec_file.__motorslabelsnospace__ # list of all motors in the experiment
# prepare the scan-specific attributes
self.__positions__ = "" # list the values of all motors
self.__config__ = "" # list the values of the UB matrix config
self.__counters__ = "" # list of all counters in the experiment
self.__countersnospace__ = "" # list of all counters in the experiment
self.scan_numbers = scan_numbers
self.comments = ""
with open(self.file,'rU') as f:
# read the first (and possibly only) scan in the list
# now try to find the scan
f.seek(spec_file.scan_dict[scan_number])
l = f.readline()
if verbose : print("reading scan " + l)
# read the scan header
while l[0] == '#':
self.__readSpecLine__(l, verbose=verbose)
l = f.readline()
# finally read the data (comments at the end are also read and added to the comment attribute)
data = [list(map(float,l.split()))]
l = f.readline()
while l != '\n' and l != '':
if l[0] == '#' and l[1] != 'C':
break
if l[0] == '#':
self.__readSpecLine__(l, verbose=verbose)
else :
data.append(list(map(float,l.split())))
l = f.readline()
# now get the data for each scan in the list
if len(scan_numbers) > 0:
for scan_number in scan_numbers[1:]:
# now try to find the scan
f.seek(spec_file.scan_dict[scan_number])
l = f.readline()
if verbose : print("reading scan " + l)
# check that we actually concatenate similar scans !
similar_scan = (l.split()[2] == self.type)
if len(self.args) > 1 :
try:
similar_scan = similar_scan * (l.split()[3]==self.args[0])
except ValueError:
similar_scan = False
if len(self.args) > 5 :
try:
similar_scan = similar_scan * (l.split()[6]==self.args[3])
except ValueError:
similar_scan = False
if similar_scan:
# read pass the scan header
while l[0] == '#':
l = f.readline()
# finally read the data (comments at the end are also read and added to the comment attribute)
data.append(list(map(float,l.split())))
l = f.readline()
while l != '\n' and l != '':
if l[0] == '#' and l[1] != 'C':
break
if l[0] == '#':
self.__readSpecLine__(l, verbose=verbose)
else :
data.append(list(map(float,l.split())))
l = f.readline()
else :
print("not all scans are the same type")
# set the data as attributes with the counter name
for i in range(len(self.counters)):
#print(i,range(len(self.counters)),self, self.counters[i], np.asarray(data).shape, np.asarray(data), data)
setattr(self, self.counters[i], np.asarray(data)[:,i])
# make the motors/positions dictionary
# usual case
if len(self.__motorslabels__.split()) == len(self.__positions__.split()) :
self.motors = dict(zip(self.__motorslabels__.split(), list(map(float,self.__positions__.split()))))
# when some motors names have spaces and there is a second line (small o) to describe them
elif len(self.__motorslabelsnospace__.split()) == len(self.__positions__.split()) :
self.motors = dict(zip(self.__motorslabelsnospace__.split(), list(map(float,self.__positions__.split()))))
#TEST : attribute-like dictionary
# removed due to conflicts when a motor was also a counter
# for motor in self.motors:
# setattr(self, motor, self.motors[motor])
# small sanity check, sometimes N is diffrent from the actual number of columns
# which is known to trouble GUIs like Newplot and PyMCA
if self.N != len(self.counters):
print("Watch out! There are %i counters in the scan but SPEC knows only N = %i !!"%(len(self.counters),self.N))
if hasattr(self,'Epoch'):
self.tstart = self.Epoch[0]
self.tend = self.Epoch[-1]
self.duration = self.tend - self.tstart
self.time_per_point = self.duration/len(self.Epoch)
#class Scan2D(Scan):
#def __init__(self, spec_file, scan_number_list, verbose = verbose):