Skip to main content

Opinionated Django Chat

Project description

django-df-chat

Development

Installing dev requirements:

pip install -e .[test]

Installing pre-commit hook:

pre-commit install

Running tests:

pytest

New Design

Model Data

ChatRoom

  • title = CharField()
  • users = ManyToManyField(through="ChatMember")
  • chat_type = Enum: 'private', 'group',

ChatMember

  • is_owner = BooleanField(default=False)
  • is_admin = BooleanField(default=False)
  • user = ForeignKey(ChatUser)
  • chat_room = ForeignKey(ChatRoom)

MemberChannel (service table)

  • last_alive_at = DateTimeField()
  • channel_name = CharField()
  • user = ForeignKey(ChatUser)

ChatMessage

  • created_by = ForeignKey(ChatUser)
  • chat_room = ForeignKey(ChatRoom)
  • message = TextField(settings.CHAT_USER_MODEL)

API:

[GET] /api/v1/chat/rooms/

[POST] /api/v1/chat/rooms/

[GET] /api/v1/chat/rooms/{id}/

[PUT] /api/v1/chat/rooms/{id}/

[PATCH] /api/v1/chat/rooms/{id}/

[DELETE] /api/v1/chat/rooms/{id}/

[POST] /api/v1/chat/rooms/{id}/member/

[GET] /api/v1/chat/rooms/{room_id}/messages/

[POST] /api/v1/chat/rooms/{room_id}/messages/

[GET] /api/v1/chat/rooms/{room_id}/messages/{id}/

[PUT] /api/v1/chat/rooms/{room_id}/messages/{id}/

[PATCH] /api/v1/chat/rooms/{room_id}/messages/{id}/

[DELETE] /api/v1/chat/rooms/{room_id}/messages/{id}/

Use cases:

  • Create chat room with specific type, and add user. Channel layer should be created if user are online and all online users should to receive messages
  • Private chat room (chat between 2 members). Nobody can add new members.
  • Group chat (chat between multiple users). Users could be added through API endpoint call
  • moderation part is missed at the moment

Flow:

  • User connected to WS
  • Channel layer stored to DB to use it in a future to dynamically subscribe user with a new chatRooms
  • on user disconnected channel layer should be removed from DB

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

django-df-chat-0.1.7.tar.gz (11.5 kB view details)

Uploaded Source

Built Distribution

django_df_chat-0.1.7-py3-none-any.whl (13.7 kB view details)

Uploaded Python 3

File details

Details for the file django-df-chat-0.1.7.tar.gz.

File metadata

  • Download URL: django-df-chat-0.1.7.tar.gz
  • Upload date:
  • Size: 11.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.2

File hashes

Hashes for django-df-chat-0.1.7.tar.gz
Algorithm Hash digest
SHA256 c4edefa25748e8fc75a73b230900355baa0221f896bc0e2c054d8fb6eb494e1b
MD5 3c7f8fc2b58e7332ab929d6e7c2187cd
BLAKE2b-256 dfd74ef7f7e5f3c5963ef8c9cfa0afcdc7769c3587e5e765a9e894fbd835a907

See more details on using hashes here.

File details

Details for the file django_df_chat-0.1.7-py3-none-any.whl.

File metadata

File hashes

Hashes for django_df_chat-0.1.7-py3-none-any.whl
Algorithm Hash digest
SHA256 54c3f72e25f9f4a9199d90ec1fe8f09e6e88cd073eb2d809fd64c132f27b589e
MD5 9f8d0dc17b46d5ba9362f8c14690a1a4
BLAKE2b-256 4827f2b37ee5c8cc037a77da0a925953f4d2a3c089174dc46ad46e44bed6275a

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page