Notebook configuration

Before using IOP4 inside a jupyter notebook, you need to configure the DB with the following lines

%autoawait off
import iop4lib.config
iop4conf = iop4lib.Config(config_db=True, gonogui=False, jupytermode=True) 

Now that IOP4 is configured, you can import and use the DB models. E.g.:

from iop4lib.db import RawFit, ReducedFit

If you want to use the autoreload extension, e.g. with

%load_ext autoreload
%autoreload all

at the top of your notebook. You might encounter some problems when the modifications affect the DB models. In that case, re-executing the import statement a few times should help, otherwise you will need to restart the kernel.

Since you are not using the iop4.py script, you will need to configure logging to suit your needs. E.g, to log to standard output, you can use:

import sys

# configure logging
import coloredlogs
import logging

logger = logging.getLogger()

# remove handlers

for handler in logger.handlers:
    logger.removeHandler(handler)

# set debug level and a nicer format for notebooks

logger.setLevel(logging.DEBUG)

logger_handler = logging.StreamHandler(stream=sys.stdout)
logger.addHandler(logger_handler)

iop4conf.log_date_format = '%Y-%m-%d %H:%M'
iop4conf.log_format = '%(asctime)s - pid %(process)d - [%(filename)s:%(lineno)d] - %(levelname)s - %(message)s'

logger_handler.setFormatter(coloredlogs.ColoredFormatter(iop4conf.log_format, datefmt=iop4conf.log_date_format))

Now you are ready to start using IOP4 inside your notebook.