在 index.html 我使用
<input type="file" name="upload_file">
在views.py中
from Bio import SeqIO
def index(request):
if request.method == "POST":
try:
text_file = request.FILES['upload_file']
list_1, list_2 = sequence_extract_fasta(text_file)
context = {'files': text_file}
return render(request, 'new.html', context)
except:
text_file = ''
context = {'files': text_file}
return render(request, 'index.html')
def sequence_extract_fasta(fasta_files):
# Defining empty list for the Fasta id and fasta sequence variables
fasta_id = []
fasta_seq = []
# opening a given fasta file using the file path
with open(fasta_files, 'r') as fasta_file:
print("pass")
# extracting multiple data in single fasta file using biopython
for record in SeqIO.parse(fasta_file, 'fasta'): # (file handle, file format)
print(record.seq)
# appending extracted fasta data to empty lists variables
fasta_seq.append(record.seq)
fasta_id.append(record.id)
# returning fasta_id and fasta sequence to both call_compare_fasta and call_reference_fasta
return fasta_id, fasta_seq
該方法sequence_extract_fasta(fasta_files)適用于python。但不是在 Django 框架上。如果我能找到上傳檔案的臨時位置然后使用路徑，我也許可以呼叫該方法。有沒有有效的方法來解決這個問題？非常感謝您的幫助。感謝您的時間。
uj5u.com熱心網友回復：
我找到了一種方法。
def sequence_extract_fasta(fasta_file):
# Defining empty list for the Fasta id and fasta sequence variables
fasta_id = []
fasta_seq = []
# fasta_file = fasta_file.chunks()
print(fasta_file)
# opening given fasta file using the file path
# crating a backup file with original uploaded file data
with open('data/temp/name.bak', 'wb ') as destination:
for chunk in fasta_file.chunks():
destination.write(chunk)
# opening created backup file and reading
with open('data/temp/name.bak', 'r') as fasta_file:
# extracting multiple data in single fasta file using biopython
for record in SeqIO.parse(fasta_file, 'fasta'): # (file handle, file format)
fasta_seq.append(record.seq)
fasta_id.append(record.id)
# returning fasta_id and fasta sequence to both call_compare_fasta and call_reference_fasta
return fasta_id, fasta_seq
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