danielballan

Exploring limitations of FastAPI with recursive models

References

• pydantic/pydantic#3251
• tiangolo/fastapi#836

danielballan

danielballan

danielballan

[flake8]
max-line-length = 115

danielballan

Example using public CC0-licensed FXI data

In this example, we connect to a public HTTP server and download raw tomography images.

It is not necessary to use Python to do this---curl would work fine---but the Tiled Python client is currently the most convenient way to do navigate the data.

pip install tiled[client]

danielballan

Bluesky Widgets Demo Quickstart

danielballan

Terminal 1:

bluesky-0MQ-proxy 5567 5568

Terminal 2:

python publisher.py

danielballan

IOC connection time analysis

We will use caproto-shark to analyze CA network traffic. Note that the actual servers and clients involve may or may not be using caproto themselves; it does not matter.

1. Install caproto and pandas if they are not already installed.

   pip install caproto[standard] pandas
   

danielballan

Logging optimizations

We will examine the byte code to get a sense of how much work the interpreter is doing.

Setup

>>> import logging
>>> logger = logging.getLogger()
>>> from dis import dis

danielballan

from bluesky_widgets.models.auto_plot_builders import AutoPlotter
from bluesky_widgets.models.plot_builders import Lines
from bluesky_widgets.models.plot_specs import AxesSpec, FigureSpec
from bluesky_widgets.qt.figures import QtFigures
import databroker
import numpy as np


def xanes(monitor, detector):
    absorption = np.log(np.array(monitor) / np.array(detector)).reshape(-1, 4)