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Databroker Migration Guide

What?

This is a draft of a guide for migrating from Databroker v1.x to Databroker v2.x (currently in prerelease). The data storage does not change; only the way it is accessed changes. It is possible to run Databroker v1.x and 2.x against the same MongoDB concurrently. Databroker 1.x was effectively a plugin to Intake. Databroker 2.x refactors Databroker as a plugin to Tiled, and drops any depenedency on Intake.

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Exploring limitations of FastAPI with recursive models

References

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

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[flake8]
max-line-length = 115

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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]

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Bluesky Widgets Demo Quickstart

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Terminal 1:

bluesky-0MQ-proxy 5567 5568

Terminal 2:

python publisher.py

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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
   

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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