sergioaten / pychat

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Pychat

Chat Application with Flask and Firestore Database

This chat application is built using Flask, Socket.IO, and Firestore database. It allows users to chat in real-time and saves the messages in a Firestore database. The application can be run in a local environment using cloud code or deployed in a Kubernetes cluster (GKE) using the provided Kubernetes manifest.

Features

  • Real-time chat using Socket.IO: Users can send and receive messages in real-time.
  • Firestore database: Messages are stored in a Firestore database for persistence and retrieval.
  • Microservices architecture: The application is split into two microservices: PyChat and DB.
  • PyChat microservice: Handles the chat functionality, communicates with the front-end using Socket.IO, and sends messages to the DB microservice.
  • DB microservice: Responsible for interacting with the Firestore database, receives messages from the PyChat microservice, and saves them in the database.

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