def decomposition(request, file_id):
context = {}
obj = models.DecompositionFile.objects.filter(file_id=file_id)
if not obj.exists():
raise Http404
file_name = obj.first().file_name
context['file'] = {
'decomp_file_id': file_id,
'decomp_file_name': file_name
}
cookie = get_cookie(request)
if cookie != None:
context["file"]['hash_id'] = cookie["hash_id"]
context["file"]['file_name'] = None
file = File(obj.first().file)
context['lines'] = []
# return top 10 lines
with file as file, mmap.mmap(file.fileno(), 0,
access=mmap.ACCESS_READ) as m:
count = 0
while True:
line = m.readline().strip()
line = line.split(b'/')
element = line[0].decode('utf-8').split()
value = float(line[1])
context['lines'].append({'cycle': element, 'value': value})
count += 1
if m.tell() == m.size() or count == 10:
break
return render(request, 'decomposition.html', context)
def GetImg_top_10(file_id):
# process scripts
img_obj = models.CycleImg.objects.filter(file_id=file_id)
if img_obj.exists() and len(img_obj) == 10: # won't plot if 10 imgs were ploted before
return False
file_obj = models.DecompositionFile.objects.get(file_id=file_id)
file = File(file_obj.file)
with file as file, mmap.mmap(file.fileno(),0,access=mmap.ACCESS_READ) as m:
elements = []
values = []
ele_append = elements.append
val_append = values.append
count = 0
while True:
line = m.readline().strip()
line = line.split(b'/')
element = line[0].decode('utf-8').split()
value = float(line[1])
ele_append(element)
val_append(value)
count += 1
if m.tell()==m.size() or count >=10:
break
# # sort file
# a = list(zip(range(0,len(values)), values))
# del values
# dtype = [('eles_inx', np.int_),('vals', np.float_)]
# arr = np.array(a, dtype=dtype)
# arr = np.sort(arr, order='vals')
# arr = arr[-10:] # top ten
# arr = arr[::-1] # reverse array
# for i in arr:
# element = elements[i['eles_inx']]
# value = i['vals']
# lines.append({'cycle':element, 'value':value})
# del elements, arr
# # end sort file
pending_del = []
for line_inx in range(0, count):
img_id=file_id+'_'+str(line_inx)
if models.CycleImg.objects.filter(img_id=img_id).exists(): # if this data is not in the database
pending_del.append(line_inx)
for i in sorted(pending_del, reverse=True):
del elements[i]
del values[i]
inputs = zip(elements, values)
pool = Pool()
res = pool.map(plot,inputs)
for i in range(0,len(res)):
instance = res[i]['buffer']
img = ImageFile(instance)
obj = models.CycleImg(img_id=file_id+'_'+str(i), value=res[i]['val'], file_id=file_id)
obj.img.save(file_id+'_'+str(i)+'.png', img)
obj.save()
instance.close()
pool.close()
return True
