def expand(d,level):#,nrows=nrows,ncols=ncols):
#self.debug('\texpand(%s(%s),%s)'%(type(d),d,level))
for k,v in sorted(d.items() if hasattr(d,'items') else d):
zero = data['nrows']
data[(data['nrows'],level)] = k
if fun.isDictionary(v):
data['ncols']+=1
expand(v,level+1)
else:
if not fun.isSequence(v): v = [v]
for t in v:
data[(data['nrows'],level+1)] = t
data['nrows']+=1
def values2text(table,order=None,sep='\t',eof='\n',header=True):
"""
Input is a dictionary of {variable:[(time,values)]}; it will convert the dictionary into a text table with a column for each variable
It assumes that values in diferent columns have been already correlated
"""
start = time.time()
if not order or not all(k in order for k in table): keys = list(sorted(table.keys()))
else: keys = sorted(table.keys(),key=order.index)
value_to_text = lambda s: str(s).replace('None','').replace('[','').replace(']','')
is_timed = fun.isSequence(table.values()[0][0]) and len(table.values()[0][0])==2
csv = '' if not header else (sep.join((['date','time'] if is_timed else [])+keys)+eof)
for i,t in enumerate(table.values()[0]):
if is_timed:
row = [fun.time2str(t[0]),str(t[0])]+[value_to_text(table[k][i][-1]) for k in keys]
else:
row = [value_to_text(table[k][i]) for k in keys]
csv+=sep.join(row) + eof
#print('Text file generated in %d milliseconds'%(1000*(time.time()-start)))
return csv
def test2str(obj, meth='', args=[], kwargs={}):
"""
Executes a method providing a verbose output.
For usage examples see fandango.device.FolderDS.FolderAPI.__test__()
"""
fs = str(obj) if not meth else '%s.%s' % (obj, meth)
r = 'Testing %s(*%s,**%s)\n\n' % (fs, args, kwargs)
v = None
try:
f = getattr(obj, meth) if meth and isString(meth) else (meth or obj)
v = f(*args, **kwargs)
if isMapping(v):
s = '\n'.join(map(str, v.items()))
elif isSequence(v):
s = '\n'.join(map(str, v))
else:
s = str(v)
except:
s = traceback.format_exc()
r += '\n'.join('\t%s' % l for l in s.split('\n')) + '\n\n'
return r, v
