This is a set of buildah and podman scripts that will stand up a pod that can run a Bluesky session and an out-of-core adaptive plan
Podman and buildah are packaged on many Linux distributions, one pitfall once
they are installed is to ensure your rootless environment is properly setup.
See rootless tutorial
for a useful guide, paying particular attention to setting up /etc/subuid
and
/etc/subgid
in order to build and run images on your system.
# this is fedora + some heavy weight Python
bash build_bluesky_base_image.sh
# installs the rest of our stack on top of the base image
bash build_bluesky_image.sh
# build an image with caproto installed
bash build_caproto_image.sh
# this sarts up caproto, mongo, zmqproxy, and redis
bash start_core_pod.sh
Run
bash launch_bluesky.sh
in a terminal
On your host machine run:
python kafka_echo_consumer.py
Start the adaptive server:
bash start_adaptive_server.py
Running in the shell should
from ohpyd.sim import *
RE(adaptive_plan([det], {motor: 0}, to_brains=to_brains, from_brains=from_brains))
should now take 17 runs stepping the motor by 1.5. The data flow is
| ---> kafka to the edge --- /exposed ports on edge/ --> external consumers
| ---> mongo
| ---> live table
|
^
RE ---- kafka broker -----> adaptive_server
^ |
| < -------- redis --------<-----< |
Maybe redis should be replaced by kafka?
The extra imports are because the motor and det that are set up by 00-base.py do not have the keys that the adatptive code is expecting.
and run
RE(queue_server_plan())
On your host machine run:
http POST localhost:60606/add_to_queue 'plan:={"plan":"scan", "args":[["pinhole"], "motor_ph", -10, 10, 25]}'
and watch the scans run!
The data flow is
| ---> kafka to the edge ----------- /exposed ports on edge/ ---> external consumers
| ---> mongo |
| ---> live table |
^ ↓
RE < --- http --- queueserver < ---- / http from edge / <-------- http POST {json}