Django Chunk File Upload is an alternative utility that helps you easily Django's chunked, drag and drop file uploads.
Project description
Django Chunk File Upload
Django Chunk File Upload is an alternative utility that helps you easily edit Django's chunked, drag and drop file uploads.
Features
- Multiple file uploads.
- Drag and Drop UI.
- MD5 checksum file.
- Chunked uploads: optimizing large file transfers.
- Prevent uploading existing files with MD5 checksum.
- Easy to use any models.
- Image optimizer, resizer, auto convert to webp (supported webp, png, jpg, jpeg).
- Permissions.
Quickstart
Install Django Chunk File Upload:
pip install git+https://github.com/thewebscraping/django-chunk-file-upload.git
Add it to your settings.py
:
INSTALLED_APPS = [
'django_chunk_file_upload',
]
Add it to your urls.py
:
from django.urls import path, include
urlpatterns = [
path("file-manager/", include("django_chunk_file_upload.urls")),
]
Run Demo
Demo URL: http://127.0.0.1:8000/file-manager/uploads/
cd examples
python manage.py migrate
python manage.py runserver
Change default config: settings.py
DJANGO_CHUNK_FILE_UPLOAD = {
"chunk_size": 1024 * 1024 * 2, # # custom chunk size upload (default: 2MB).
"upload_to": "custom_folder/%Y/%m/%d", # custom upload folder.
"is_metadata_storage": True, # save file metadata,
"remove_file_on_update": True,
"optimize": True,
"js": (
"https://cdnjs.cloudflare.com/ajax/libs/jquery/3.7.1/jquery.min.js",
"https://cdnjs.cloudflare.com/ajax/libs/spark-md5/3.0.2/spark-md5.min.js",
"https://cdnjs.cloudflare.com/ajax/libs/toastr.js/latest/toastr.min.js",
), # use cdn.
"css": (
"custom.css"
), # custom css path.
"image_optimizer": {
"quality": 82,
"compress_level": 9,
"max_width": 1024,
"max_height": 720,
"to_webp": True, # focus convert image to webp type.
},
"permission_classes": ("django_chunk_file_upload.permissions.AllowAny",) # default: IsAuthenticated
}
Custom Your Models
models.py
from django.db import models
from django_chunk_file_upload.models import FileManagerMixin
class Tag(models.Model):
name = models.CharField(max_length=255)
class YourModel(FileManagerMixin):
tags = models.ManyToManyField(Tag)
custom_field = models.CharField(max_length=255)
forms.py
from django_chunk_file_upload.forms import ChunkedUploadFileForm
from .models import YourModel
class YourForm(ChunkedUploadFileForm):
class Meta:
model = YourModel
fields = "__all__"
views.py
Accepted methods: GET, POST, DELETE (UPDATE, PUT does not work with FormData).
from django_chunk_file_upload.views import ChunkedUploadView
from django_chunk_file_upload.typed import File
from django_chunk_file_upload.permissions import IsAuthenticated
from .forms import YourForm
class CustomChunkedUploadView(ChunkedUploadView):
form_class = YourForm
permission_classes = (IsAuthenticated,)
# file_class = File # file class
# file_status = app_settings.status # default: PENDING (Used when using background task, you can change it to COMPLETED.)
# optimize = True # default: True
# remove_file_on_update = True # update image on admin page.
# chunk_size = 1024 * 1024 * 2 # custom chunk size upload (default: 2MB).
# upload_to = "custom_folder/%Y/%m/%d" # custom upload folder.
# template_name = "custom_template.html" # custom template
# # Run background task like celery when upload is complete
# def background_task(self, instance):
# pass
custom_template.html
<form action="."
method="post"
id="chunk-upload-form">
{{ form.media }}
{{ form }}
</form>
urls.py
from django.urls import path
from .views import CustomChunkedUploadView
urlpatterns = [
path("uploads/", CustomChunkedUploadView.as_view(), name="custom-uploads"),
]
Permissions
from django_chunk_file_upload.permissions import AllowAny, IsAuthenticated, IsAdminUser, IsSuperUser
File Handlers
from django_chunk_file_upload.typed import (
ArchiveFile,
AudioFile,
BinaryFile,
DocumentFile,
File,
FontFile,
HyperTextFile,
ImageFile,
JSONFile,
MicrosoftExcelFile,
MicrosoftPowerPointFile,
MicrosoftWordFile,
SeparatedFile,
XMLFile,
)
This package is under development, only supports create view. There are also no features related to image optimization. Use at your own risk.
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