https://github.com/pixelcaliber/user-presence-service

Enables real time user-presence functionality which marks user active/inactive based on last user activity using heartbeat mechanism, received from the client (here: mouse-up mouse-down movements) and comparing it with a threshold time quantum.
https://github.com/pixelcaliber/user-presence-service

flask heartbeat-monitor kafka python redis worker-pool

Last synced: about 6 hours ago
JSON representation

Enables real time user-presence functionality which marks user active/inactive based on last user activity using heartbeat mechanism, received from the client (here: mouse-up mouse-down movements) and comparing it with a threshold time quantum.

• Host: GitHub
• URL: https://github.com/pixelcaliber/user-presence-service
• Owner: pixelcaliber
• Created: 2024-01-29T05:37:22.000Z (10 months ago)
• Default Branch: master
• Last Pushed: 2024-02-16T19:37:38.000Z (9 months ago)
• Last Synced: 2024-02-16T20:36:09.212Z (9 months ago)
• Topics: flask, heartbeat-monitor, kafka, python, redis, worker-pool
• Language: Python
• Homepage:
• Size: 14.7 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# user-presence-service

Part of chat-application microservices: Enables real time user-presence functionality which marks user active/inactive or online/offline using HEARTBEAT mechanism based on last user activity received from the client timestamp (here: mouse-up mouse-down movements) and comparing it with a threshold time quantum.

- Worker running infinitely, checking for user's last timestamp and if found more than the threshold time quantum (~10 mins) mark them as inactive in the user-presence database (here: postgres)

- Utilizes heartbeat mechinism to query for user status using pooling

- utilized redis cluster to store the last active timestamp; evicition pollicy: LRU and cache size: 100mb

- has enpoints for:

  - updating user's last active timestmap in the redis cluster

  - retrieving the user's last active timestamp from the redis cluster

  - querying for user's active/inactive status in the database (here: postgres)

tech-stack: Kafka, Redis, Postgres, Python, Flask, Postgres