The backend Flask app runs using Docker. Install Docker on your computer and then run:

docker-compose up

First create the database in a python REPL. This creates a SQLite database called log.db with the proper tables.

from server import init_db
init_db()

npx webpack -d --watch

particle serial monitor | tee >(python logger.py)

Visit localhost:5000 and see signals, click on them, and add annotations.

pfgp PHOTON-IDENTIFIED FIRMWARE-FILE-OR-FOLDER

example usage:

pfgp turkey_laser ir_recording

Set up DigitalOcean droplet with Docker and local config to connect to it.

docker-machine create --driver digitalocean --digitalocean-access-token INSERTOKENHERE seriallogger2

After the droplet is set up with Docker, run docker compose to build and set up the code. Read on for a note about switching between docker targets

docker-compose -f remote.yml up --build
docker-compose -f remote.yml up -d

Docker Machine targets a Docker Engine so any docker related commands are run against that target. For deployments the target should be the seriallogger2 DigitalOcean droplet. For local development the target should be your local virtual machine like VirtualBox OR unset if you are using the latest Docker for Mac.

docker-machine env seriallogger2
eval $(docker-machine env seriallogger2)

docker-machine env --unset
eval $(docker-machine env --unset

First, target the remote docker in docker-machine. Then copy the database:

docker-machine scp seriallogger2:/var/lib/docker/volumes/seriallogger2_mydatabase/_data/log.db ./backup.db

You can use the remote-log.db as a replacement for the local db/log.db.

First, exec into the docker container. For remote migrations, make sure to target the remote with docker-machine.

docker exec -it CONTAINER_ID bash

Run the migration with python

python
>>> from db_utils import init_db
>>> init_db()

particle serial monitor | tee log-`date +%Y-%m-%d--%H-%M-%S`.txt