python django代码怎么实现大文件切片上传功能
时间: 2023-12-31 07:06:06 浏览: 150
python实现合并多个list及合并多个django QuerySet的方法示例
实现大文件切片上传功能一般分为以下几个步骤:
1. 在前端将大文件分片切割,使用FormData将分片上传到后端
2. 后端接收到分片后,将分片保存在磁盘上,并记录分片序号和文件标识
3. 当所有分片上传完成后,后端将分片合并为完整的文件
以下是一个基于Django的大文件切片上传的代码示例:
前端代码:
```
var fileInput = document.getElementById('fileInput');
var chunkSize = 1024 * 1024; // 每个分片的大小为1MB
var chunks = Math.ceil(fileInput.files[0].size / chunkSize);
var chunkIndex = 0;
var fileHash = '';
function uploadChunk() {
var xhr = new XMLHttpRequest();
var formData = new FormData();
var start = chunkIndex * chunkSize;
var end = Math.min(start + chunkSize, fileInput.files[0].size);
var chunk = fileInput.files[0].slice(start, end);
formData.append('chunk', chunk);
formData.append('chunkIndex', chunkIndex);
formData.append('chunks', chunks);
formData.append('fileHash', fileHash);
xhr.open('POST', '/upload/');
xhr.send(formData);
xhr.onload = function() {
if (xhr.status === 200) {
chunkIndex++;
if (chunkIndex < chunks) {
uploadChunk();
} else {
alert('上传完成');
}
}
};
}
fileInput.addEventListener('change', function() {
var file = fileInput.files[0];
var fileReader = new FileReader();
fileReader.onload = function() {
var spark = new SparkMD5.ArrayBuffer();
spark.append(fileReader.result);
fileHash = spark.end();
uploadChunk();
};
fileReader.readAsArrayBuffer(file);
});
```
后端代码:
```
from django.shortcuts import render
from django.http import JsonResponse
from django.views.decorators.csrf import csrf_exempt
import os
@csrf_exempt
def upload(request):
if request.method == 'POST':
chunk = request.FILES.get('chunk')
chunkIndex = int(request.POST.get('chunkIndex'))
chunks = int(request.POST.get('chunks'))
fileHash = request.POST.get('fileHash')
savePath = os.path.join('/path/to/save', fileHash)
if not os.path.exists(savePath):
os.makedirs(savePath)
with open(os.path.join(savePath, str(chunkIndex)), 'wb') as f:
f.write(chunk.read())
if chunkIndex == chunks - 1:
with open(os.path.join(savePath, 'result'), 'wb') as f:
for i in range(chunks):
with open(os.path.join(savePath, str(i)), 'rb') as chunkFile:
f.write(chunkFile.read())
return JsonResponse({'success': 1})
else:
return JsonResponse({'success': 0})
```
这段代码中,我们使用了SparkMD5库来计算文件的hash值,确保分片上传时的文件完整性。在后端我们使用了os模块来创建文件夹和保存分片,并在所有分片上传完成后将分片合并为完整文件。
阅读全文