hutch_python.load_conf.load_conf

hutch_python.load_conf.load_conf(conf, hutch_dir=None, args=None)

Step through the object loading procedure, given a configuration.

The procedure is:

  • Check the configuration for errors

  • Display the banner by calling hutch_banner

  • Use hutch key to create hutch.db importable namespace to stash the objects. This will be literally hutch.db if hutch is not provided, or the hutch name e.g. mfx.db.

  • Evaluate the settings to determine which kind of daq object to create later.

  • Load debug tools

  • Load options

  • Set ophyd signal default timeouts

  • Create a logs namespace that allows the user to configure the logging settings.

  • Create a RunEngine, RE

  • Create a daq object with RE registered.

  • Import plan_defaults and include bp, bps, and bpp.

  • Add a re namespace of ready-to-run scan functions as a mirror of bp. Graft all daq-integrated scans onto the daq object.

  • Create a scan_pvs object, and enable it.

  • Use hutch and daq_platform keys to create the elog object and configure it to match the correct experiment.

  • Load the shared global devices for LCLS

  • Use db key to load devices from the happi beamline database and create a hutch_beampath object from lightpath

  • Create an archive object for interfacing with the Archiver Appliance

  • Use hutch key to load detector objects from the camviewer configuration file.

  • Load some simulated hardware and place it in the sim namespace.

  • Use experiment key to select the current experiment

    • If experiment was missing, autoselect experiment using hutch key

  • Use current experiment to load experiment objects from questionnaire

  • Use load key to bring up the user’s beamline modules

  • Use current experiment to load experiment file

  • Create some default groups

  • Configure and load the position presets

  • Write the db.txt file to note what was loaded

If a conf key is missing, we’ll note it in a logger.info message. If an extra conf entry is found, we’ll note it in a logger.warning message. If an automatically selected file is missing, we’ll note it in a logger.info message. All other errors will be noted in a logger.error message.

Parameters:

  • conf (dict) – dict interpretation of the original yaml file

  • hutch_dir (Path or str, optional) – Path object that points to the hutch’s launch directory. This is the directory that includes the experiments directory and a hutchname directory e.g. mfx If this is missing, we’ll be unable to write the db.txt file, do relative filepath database selection for happi, or establish a preset positions directory.

  • args (argparse.Namespace, optional) – The namespace returned from the cli argument parsing, or None

Returns:

objs – See the return value of load

Return type:

dict{str: object}