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A wagtail module for uploading and displaying videos in various codecs.

Project description

https://gitlab.com/neonjungle/wagtailvideos/badges/master/pipeline.svg

Based on wagtailimages. The aim was to have feature parity with images but for html5 videos. Includes the ability to transcode videos to a html5 compliant codec using ffmpeg.

Requirements

  • Wagtail >= 4.0 (for older wagtail version see the tags)

  • ffmpeg

Installing

Install using pypi

pip install wagtailvideos

Add wagtailvideos to your installed apps.

INSTALLED_APPS = [
    'wagtailvideos',
]

Using

On a page model:

Implement as a ForeignKey relation, same as wagtailimages.

from django.db import models

from wagtail.admin.edit_handlers import FieldPanel
from wagtail.core.fields import RichTextField
from wagtail.core.models import Page

from wagtailvideos.edit_handlers import VideoChooserPanel


class HomePage(Page):
    body = RichtextField()
    header_video = models.ForeignKey('wagtailvideos.Video',
                                     related_name='+',
                                     null=True,
                                     on_delete=models.SET_NULL)

    content_panels = Page.content_panels + [
        FieldPanel('body'),
        VideoChooserPanel('header_video'),
    ]

In a Streamfield:

A VideoChooserBlock is included

from wagtail.admin.edit_handlers import StreamFieldPanel
from wagtail.core.fields import StreamField
from wagtail.core.models import Page

from wagtailvideos.blocks import VideoChooserBlock


class ContentPage(Page):
  body = StreamField([
      ('video', VideoChooserBlock()),
  ])

  content_panels = Page.content_panels + [
      StreamFieldPanel('body'),
  ]

In template:

The video template tag takes one required postitional argument, a video field. All extra attributes are added to the surrounding <video> tag. The original video and all extra transcodes are added as <source> tags.

{% load wagtailvideos_tags %}
{% video self.header_video autoplay controls width=256 %}

Jinja2 extensions are also included.

How to transcode using ffmpeg:

Using the video collection manager from the left hand menu. In the video editing section you can see the available transcodes and a form that can be used to create new transcodes. It is assumed that your compiled version of ffmpeg has the matching codec libraries required for the transcode.

Disable transcode:

Transcode can be disabled using the WAGTAIL_VIDEOS_DISABLE_TRANSCODE setting.

# settings.py
WAGTAIL_VIDEOS_DISABLE_TRANSCODE = True

Custom Video models:

Same as Wagtail Images, a custom model can be used to replace the built in Video model using the WAGTAILVIDEOS_VIDEO_MODEL setting.

# settings.py
WAGTAILVIDEOS_VIDEO_MODEL = 'videos.AttributedVideo'

# app.videos.models
from django.db import models
from modelcluster.fields import ParentalKey
from wagtailvideos.models import AbstractVideo, AbstractVideoTranscode

class AttributedVideo(AbstractVideo):
    attribution = models.TextField()

    admin_form_fields = (
        'title',
        'attribution',
        'file',
        'collection',
        'thumbnail',
        'tags',
    )

class CustomTranscode(AbstractVideoTranscode):
    video = models.ForeignKey(AttributedVideo, related_name='transcodes', on_delete=models.CASCADE)

    class Meta:
        unique_together = (
            ('video', 'media_format')
        )

# Only needed if you are using the text tracks feature
class CustomTrackListing(AbstractTrackListing):
    video = models.OneToOneField(AttributedVideo, related_name='track_listing', on_delete=models.CASCADE)

class CustomVideoTrack(AbstractVideoTrack):
    listing = ParentalKey(CustomTrackListing, related_name='tracks', on_delete=models.CASCADE)

Video text tracks:

To enable the uploading and displaying of VTT tracks (e.g. subtitles, captions) you’ll need to add wagtail.contrib.modeladmin to your installed apps. Once added, there will be an new area in the admin for attaching VTT files to videos with associaled metadata.

Future features

  • Some docs

  • Richtext embed

  • Transcoding via external service rather than ffmpeg

Project details


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