def parse_vars(lines):
i=-1
i0=-1
i1=-1
while i<len(lines)-1:
i+=1
if lines[i].lstrip().find('variables:')==0:
i0=i+1
elif (lines[i].lstrip().find('// global attributes:')==0 or\
lines[i].lstrip().find('group:')==0 or\
lines[i].lstrip().find('} // group ')==0 or\
lines[i].strip()=='}') and i0>-1:
i1=i
break
res=cbt.odict()
for j in range(i0,i1):
if lines[j].strip():
if lines[j].find('=')==-1 and lines[j].strip()[0]!='"':
varname=lines[j][:-2].strip().split()[1].split('(')[0]
res[varname]=cbt.odict()
else:
if lines[j].strip()[0]!='"': # multiline !!
name=lines[j].split(':')[0].strip()
vatt=lines[j].split(':')[1].split('=')[0].strip()
res[name][vatt]={}
return res
def parse_vars(lines):
i = -1
i0 = -1
i1 = -1
while i < len(lines) - 1:
i += 1
if lines[i].lstrip().find('variables:') == 0:
i0 = i + 1
elif (lines[i].lstrip().find('// global attributes:')==0 or\
lines[i].lstrip().find('group:')==0 or\
lines[i].lstrip().find('} // group ')==0 or\
lines[i].strip()=='}') and i0>-1:
i1 = i
break
res = cbt.odict()
for j in range(i0, i1):
if lines[j].strip():
if lines[j].find('=') == -1 and lines[j].strip()[0] != '"':
varname = lines[j][:-2].strip().split()[1].split('(')[0]
res[varname] = cbt.odict()
else:
if lines[j].strip()[0] != '"': # multiline !!
name = lines[j].split(':')[0].strip()
vatt = lines[j].split(':')[1].split('=')[0].strip()
res[name][vatt] = {}
return res
def ncdump_info(f):
'''
List of dimensions, variables and attributes from ncdump
Works with netcdf files version <= 4
'''
ncdump=cbt.search('ncdump')
if ncdump:
#try : out=cbt.run(ncdump+' -h '+f+' 2>/dev/null')
#except: out=cbt.run(ncdump+' -h '+f)
out=cbt.run(ncdump,'-h',f)
else: return
if not out:
res=cbt.odict()
res['groups'] = cbt.odict()
res['name'] = f
res['dimensions'] = cbt.odict()
res['variables'] = cbt.odict()
res['attributes'] = cbt.odict()
else:
res=parse_once(out,True)
return res
def parse_once(lines, root=False):
name = lines[0].split()[1]
res = cbt.odict()
res['groups'] = cbt.odict()
res['name'] = name
res['dimensions'] = parse_dims(lines)
res['variables'] = parse_vars(lines)
res['attributes'] = parse_atts(lines)
j0 = False
k = 0
for j in range(1, len(lines)):
k += 1
l = lines[j]
if l.lstrip().find('group:') == 0 and j0 is False:
j0 = j
name = l.split()[1]
if l.strip() == '} // group ' + name and not j0 is False:
res['groups'][name] = parse_once(lines[j0:j + 1])
j0 = False
return res
def ncdump_info(f):
'''
List of dimensions, variables and attributes from ncdump
Works with netcdf files version <= 4
'''
ncdump = cbt.search('ncdump')
if ncdump:
#try : out=cbt.run(ncdump+' -h '+f+' 2>/dev/null')
#except: out=cbt.run(ncdump+' -h '+f)
out = cbt.run(ncdump, '-h', f)
else:
return
if not out:
res = cbt.odict()
res['groups'] = cbt.odict()
res['name'] = f
res['dimensions'] = cbt.odict()
res['variables'] = cbt.odict()
res['attributes'] = cbt.odict()
else:
res = parse_once(out, True)
return res
def parse_once(lines,root=False):
name=lines[0].split()[1]
res=cbt.odict()
res['groups'] = cbt.odict()
res['name'] = name
res['dimensions'] = parse_dims(lines)
res['variables'] = parse_vars(lines)
res['attributes'] = parse_atts(lines)
j0=False
k=0
for j in range(1,len(lines)):
k+=1
l=lines[j]
if l.lstrip().find('group:')==0 and j0 is False:
j0=j
name=l.split()[1]
if l.strip() == '} // group '+name and not j0 is False:
res['groups'][name]=parse_once(lines[j0:j+1])
j0=False
return res
def parse_atts(lines):
i = -1
i0 = -1
i1 = -1
while i < len(lines) - 1:
i += 1
if lines[i].lstrip().find('// global attributes:') == 0: i0 = i + 1
elif (lines[i].lstrip().find('// global attributes:')==0 or\
lines[i].lstrip().find('group:')==0 or\
lines[i].lstrip().find('} // group ')==0) and i0>-1:
i1 = i
break
res = cbt.odict()
for j in range(i0, i1):
if lines[j].strip() and lines[j].strip()[0] == ':':
s = lines[j]
res[s[s.index(':') + 1:s.index('=')].strip()] = {}
return res
def parse_atts(lines):
i=-1
i0=-1
i1=-1
while i<len(lines)-1:
i+=1
if lines[i].lstrip().find('// global attributes:')==0: i0=i+1
elif (lines[i].lstrip().find('// global attributes:')==0 or\
lines[i].lstrip().find('group:')==0 or\
lines[i].lstrip().find('} // group ')==0) and i0>-1:
i1=i
break
res=cbt.odict()
for j in range(i0,i1):
if lines[j].strip() and lines[j].strip()[0]==':':
s=lines[j]
res[s[s.index(':')+1:s.index('=')].strip()]={}
return res
def parse_dims(lines):
i = -1
i0 = -1
i1 = -1
while i < len(lines) - 1:
i += 1
if lines[i].lstrip().find('dimensions:') == 0: i0 = i + 1
elif (lines[i].lstrip().find('variables:')==0 or\
lines[i].lstrip().find('group:')==0 or\
lines[i].lstrip().find('} // group ')==0) and i0>-1:
i1 = i
break
res = cbt.odict()
for j in range(i0, i1):
tmp = lines[j].split('=')
dimname = tmp[0].strip()
dimvalue = tmp[1][:-1].strip()
res[dimname] = dimvalue
return res
def parse_dims(lines):
i=-1
i0=-1
i1=-1
while i<len(lines)-1:
i+=1
if lines[i].lstrip().find('dimensions:')==0: i0=i+1
elif (lines[i].lstrip().find('variables:')==0 or\
lines[i].lstrip().find('group:')==0 or\
lines[i].lstrip().find('} // group ')==0) and i0>-1:
i1=i
break
res=cbt.odict()
for j in range(i0,i1):
tmp=lines[j].split('=')
dimname=tmp[0].strip()
dimvalue=tmp[1][:-1].strip()
res[dimname]=dimvalue
return res
