def update_sequence_title(_, entry, preloaded, upload_contents):
if entry is None:
return ''
if preloaded is not None:
protein = pr.read_fasta(file_path=preloaded)[entry]
elif upload_contents is not None and preloaded is None:
data = ''
try:
content_type, content_string = upload_contents.split(',')
data = base64.b64decode(content_string).decode('UTF-8')
except AttributeError:
pass
if data == '':
return ''
protein = pr.read_fasta(data_string=data)[entry]
else:
return ''
titles = ['name', 'entry name', 'protein name', 'identifier', 'desc-0']
for t in titles:
try:
return protein['description'][t]
except KeyError:
continue
return ''
def update_protein_options(upload_contents, preloaded):
dropdown_options = [
{'label': 1, 'value': 0}
]
if preloaded is not None:
proteins = pr.read_fasta(file_path=preloaded)
elif upload_contents is not None and preloaded is None:
data = ''
try:
content_type, content_string = upload_contents.split(',')
data = base64.b64decode(content_string).decode('UTF-8')
except AttributeError:
pass
proteins = pr.read_fasta(data_string=data)
else:
return dropdown_options
if isinstance(proteins, list):
dropdown_options = []
for i in range(len(proteins)):
dropdown_options.append(dict(
label=i+1,
value=i
))
return dropdown_options
def update_desc_info(upload_contents, entry, preloaded):
if entry is None:
return 'Please select an entry.'
if preloaded is not None:
protein = pr.read_fasta(file_path=preloaded)[entry]
elif upload_contents is not None and preloaded is None:
data = ''
try:
content_type, content_string = upload_contents.split(',')
data = base64.b64decode(content_string).decode('UTF-8')
except AttributeError:
pass
if data == '':
return []
try:
protein = pr.read_fasta(data_string=data)[entry]
except Exception:
return ['NA']
else:
return 'Please either upload a file or select one from \
the dropdown.'
desc = []
for key in protein['description']:
tmp = key.title() + ': ' if 'desc-' not in key else '-'
tmp += protein['description'][key]
desc.append(tmp)
desc.append(html.Br())
return desc
def update_sequence(upload_contents, entry, preloaded):
if entry is None:
return ''
if preloaded is not None:
protein = pr.read_fasta(file_path=preloaded)[entry]
elif upload_contents is not None and preloaded is None:
data = ''
try:
content_type, content_string = upload_contents.split(',')
data = base64.b64decode(content_string).decode('UTF-8')
except AttributeError:
pass
if data == '':
return '-'
protein = pr.read_fasta(data_string=data)[entry]
else:
return '-'
return protein['sequence']