def run(search_dir, pf_logfiles=None):
for img_template, min_frame, max_frame in dataset.find_data_sets(search_dir,skip_symlinks=False):
print "Dataset found:"
print " NAME_TEMPLATE_OF_DATA_FRAMES= %s" % img_template
print " DATA_RNAGE= %d %d" % (min_frame, max_frame)
pdir, ppath = os.path.split(img_template)
if not os.path.exists(os.path.join(pdir, "xds")):
os.mkdir(os.path.join(pdir, "xds"))
else:
assert os.path.isdir(os.path.join(pdir, "xds"))
prefix = ppath[:ppath.index("?")]
if not prefix.endswith("_"):
prefix += "_"
if pf_logfiles is None:
wdir = os.path.join(pdir, "xds", "xds_%s%d-%d" % (prefix, min_frame, max_frame))
if os.path.isfile(os.path.join(wdir, "XDS.INP")):
print " Already exist:", os.path.join(wdir, "XDS.INP")
continue
os.mkdir(wdir)
cmd = 'generate_XDS.INP "%s"' % os.path.relpath(img_template, wdir)
print " launching", cmd
call(cmd=cmd, wdir=wdir)
else:
for minf, maxf in split_runs_based_on_pf_logfiles(pf_logfiles):
if maxf < min_frame or max_frame < minf:
continue
if minf < min_frame:
minf = min_frame
if maxf > max_frame:
maxf = max_frame
wdir = os.path.join(pdir, "xds", "xds_%s%d-%d" % (prefix, minf, maxf))
if os.path.isfile(os.path.join(wdir, "XDS.INP")):
print "Already exist:", os.path.isfile(os.path.join(wdir, "XDS.INP"))
continue
os.mkdir(wdir)
cmd = 'generate_XDS.INP "%s"' % os.path.relpath(img_template, wdir)
print " launching", cmd
call(cmd=cmd, wdir=wdir)
# XXX dirty hacks..
inp = open(os.path.join(wdir, "XDS.INP")).readlines()
ofs = open(os.path.join(wdir, "XDS.INP"), "w")
for l in inp:
if l.startswith("DATA_RANGE="):
l = "DATA_RANGE= %d %d\n" % (minf, maxf)
if l.startswith("SPOT_RANGE="):
l = "SPOT_RANGE= %d %d\n" % (minf, (maxf-minf)/2+minf)
ofs.write(l)
ofs.close()
print
def run(search_dir, pf_logfiles=None):
for img_template, min_frame, max_frame in dataset.find_data_sets(
search_dir, skip_symlinks=False):
print "Dataset found:"
print " NAME_TEMPLATE_OF_DATA_FRAMES= %s" % img_template
print " DATA_RNAGE= %d %d" % (min_frame, max_frame)
pdir, ppath = os.path.split(img_template)
if not os.path.exists(os.path.join(pdir, "xds")):
os.mkdir(os.path.join(pdir, "xds"))
else:
assert os.path.isdir(os.path.join(pdir, "xds"))
prefix = ppath[:ppath.index("?")]
if not prefix.endswith("_"):
prefix += "_"
if pf_logfiles is None:
wdir = os.path.join(pdir, "xds",
"xds_%s%d-%d" % (prefix, min_frame, max_frame))
if os.path.isfile(os.path.join(wdir, "XDS.INP")):
print " Already exist:", os.path.join(wdir, "XDS.INP")
continue
os.mkdir(wdir)
cmd = 'generate_XDS.INP "%s"' % os.path.relpath(img_template, wdir)
print " launching", cmd
call(cmd=cmd, wdir=wdir)
else:
for minf, maxf in split_runs_based_on_pf_logfiles(pf_logfiles):
if maxf < min_frame or max_frame < minf:
continue
if minf < min_frame:
minf = min_frame
if maxf > max_frame:
maxf = max_frame
wdir = os.path.join(pdir, "xds",
"xds_%s%d-%d" % (prefix, minf, maxf))
if os.path.isfile(os.path.join(wdir, "XDS.INP")):
print "Already exist:", os.path.isfile(
os.path.join(wdir, "XDS.INP"))
continue
os.mkdir(wdir)
cmd = 'generate_XDS.INP "%s"' % os.path.relpath(
img_template, wdir)
print " launching", cmd
call(cmd=cmd, wdir=wdir)
# XXX dirty hacks..
inp = open(os.path.join(wdir, "XDS.INP")).readlines()
ofs = open(os.path.join(wdir, "XDS.INP"), "w")
for l in inp:
if l.startswith("DATA_RANGE="):
l = "DATA_RANGE= %d %d\n" % (minf, maxf)
if l.startswith("SPOT_RANGE="):
l = "SPOT_RANGE= %d %d\n" % (minf,
(maxf - minf) / 2 + minf)
ofs.write(l)
ofs.close()
print
"""
from yamtbx.dataproc import XIO
from yamtbx.dataproc.dataset import template_to_filenames, find_data_sets
def timestamps(img_files):
img_date = []
for f in img_files:
im = XIO.Image(f)
img_date.append((f, im.header["DateSeconds"]))
for i in xrange(len(img_files)):
print img_files[i],
if i == 0:
print 0
else:
print img_date[i][1] - img_date[i-1][1]
if __name__ == "__main__":
import sys
if len(sys.argv) > 1:
wdir = sys.argv[1]
else:
wdir = os.getcwd()
for img_template, min_frame, max_frame in find_data_sets(wdir):
img_files = template_to_filenames(img_template, min_frame, max_frame)
timestamps(img_files)
from yamtbx.dataproc import XIO
from yamtbx.dataproc.dataset import template_to_filenames, find_data_sets
def timestamps(img_files):
img_date = []
for f in img_files:
im = XIO.Image(f)
img_date.append((f, im.header["DateSeconds"]))
for i in xrange(len(img_files)):
print img_files[i],
if i == 0:
print 0
else:
print img_date[i][1] - img_date[i - 1][1]
if __name__ == "__main__":
import sys
if len(sys.argv) > 1:
wdir = sys.argv[1]
else:
wdir = os.getcwd()
for img_template, min_frame, max_frame in find_data_sets(wdir):
img_files = template_to_filenames(img_template, min_frame, max_frame)
timestamps(img_files)
