dockerizing pipeline-eds

Date: 2025 09-September 19

To see a Plotly plot running on a container's localhost, you need to map the container's port to a port on your host machine. To investigate the container's file tree, you can either use docker exec to get a shell inside it or build a temporary container to inspect it.

1. Viewing a Plotly Plot from a Docker Container

The Plotly web server runs on a port inside the container, but it's not accessible from your host machine unless you explicitly map it. Your container's localhost is a separate network from your computer's localhost.

Use the -p (publish) flag with docker run to map the container's port to your host's port. Assuming Plotly runs on port 8000 inside the container, you would use:

Bash

docker run -p 8000:8000 pipeline-eds trend M100FI --start Sept2 --end Sept16

-p 8000:8000: The first 8000 is the port on your host machine, and the second 8000 is the port inside the container. This command tells Docker to forward traffic from your computer's port 8000 to the container's port 8000.

After running the command, you can open your web browser and navigate to http://localhost:8000 to view the plot.

2. Investigating the Container's File Tree

You can't directly cat files on a container's filesystem from your host machine. You need to either execute a command inside a running container or copy files to your host.

Method A: Use `docker exec` (Best for a running container)

If you have a container running, you can use docker exec to execute a command inside it, such as cat.

Start the container:

Bash
```
docker run -itd --name my-eds pipeline-eds sleep 3600
```
This command starts a container named my-eds in the background and keeps it running for an hour.
Execute the cat command inside the container:

Bash
```
docker exec my-eds cat /app/src/pipeline/data/sensors.db
```
This command executes cat inside the my-eds container and prints the contents of the database file to your terminal.

Method B: Use `docker cp`

You can copy a file from the container to your host machine, and then open it locally.

Bash

docker cp my-eds:/app/src/pipeline/data/sensors.db ./sensors.db

This command copies the file sensors.db from the container's /app/src/pipeline/data/ directory to your current local directory. You can then open and inspect it with your preferred tools.

Method C: Use `docker run` on a one-off container

For simple file inspection, you can start a new container that simply executes ls -R to list the files and then exits.

Bash

docker run --rm pipeline-eds ls -R /app/src/pipeline/data

This command starts a new container, lists the contents of the specified directory, and then removes the container. This is a quick and clean way to investigate the file system.