duplicated pydantic classes

[ben-directai]

gradio and fastapi use basically the same pydantic models but they're doubly defined. ideally they both point to the same objects otherwise our codebase becomes quite brittle.

we'll need to figure out a convenient way for both docker containers to reference the same file/directory.

[ben-directai]

See chatgpt's thoughts:
To give two Docker containers access to the same file or directory within a Docker Compose setup, you can use a shared volume. Docker volumes allow you to share data between containers and the host system, or between multiple containers.

Step-by-Step Guide

1. Create a Shared Volume:
   In your Docker Compose file, define a volume that will be shared between the two containers.

2. Mount the Volume in Both Containers:
   Mount the shared volume to the desired path in both containers.

Here’s an example of how to do this:

Example docker-compose.yml:

version: '3'
services:
  container1:
    image: your_image_1
    volumes:
      - shared_data:/path/inside/container1
    # other container1 configuration

  container2:
    image: your_image_2
    volumes:
      - shared_data:/path/inside/container2
    # other container2 configuration

volumes:
  shared_data:
    driver: local

Explanation:

• Volume Definition:

  volumes:
    shared_data:
      driver: local

  • This defines a volume named shared_data that uses the local driver. This volume will be created on the Docker host and shared between containers.

• Mounting the Volume in Containers:

  volumes:
    - shared_data:/path/inside/container1

  • This line mounts the shared_data volume to /path/inside/container1 inside container1.

  volumes:
    - shared_data:/path/inside/container2

  • Similarly, this mounts the shared_data volume to /path/inside/container2 inside container2.

Using the Shared Volume

• Any file or directory placed in /path/inside/container1 within container1 will be accessible in /path/inside/container2 within container2, and vice versa.
• This method ensures that both containers can read and write to the same file or directory.

Additional Notes:

• Data Persistence: The data in the shared volume persists even if the containers are stopped or removed, as long as the volume itself is not explicitly removed.
• Access Control: Ensure that the file permissions and ownership are correctly set so that both containers can access the files as needed.

This approach is commonly used in scenarios where multiple containers need to share data or configuration files, such as in microservices architectures or collaborative processes running in different containers.