Update 00-base.py with the approach used in bluesky/tutorials (no nsl…

…sii.configure_base())

startup/00-base.py

@@ -1,9 +1,67 @@
+import os
+import matplotlib
 from IPython import get_ipython
-get_ipython().run_line_magic('matplotlib', 'notebook') # i.e. %matplotlib notebook
 
-import nslsii
-nslsii.configure_base(get_ipython().user_ns, 'amx', bec=True, mpl=True, pbar=False)
-# nslsii.configure_olog(get_ipython().user_ns, subscribe=False)
+get_ipython().run_line_magic('matplotlib', 'widget')  # i.e. %matplotlib widget
+import matplotlib.pyplot
+
+from ophyd import Device, Component, EpicsSignal
+from ophyd.signal import EpicsSignalBase
+from ophyd.areadetector.filestore_mixins import resource_factory
+import uuid
+import os
+from pathlib import Path
+import numpy as np
+
+# Set up a RunEngine and use metadata backed by a sqlite file.
+from bluesky import RunEngine
+from bluesky.utils import get_history
+RE = RunEngine(get_history())
+
+# Set up SupplementalData.
+from bluesky import SupplementalData
+sd = SupplementalData()
+RE.preprocessors.append(sd)
+
+# Set up a Broker.
+from databroker import Broker
+db = Broker.named('amx')
+
+# and subscribe it to the RunEngine
+RE.subscribe(db.insert)
+
+# Add a progress bar.
+# from bluesky.utils import ProgressBarManager
+# pbar_manager = ProgressBarManager()
+# RE.waiting_hook = pbar_manager
+
+# Register bluesky IPython magics.
+from bluesky.magics import BlueskyMagics
+get_ipython().register_magics(BlueskyMagics)
+
+# Set up the BestEffortCallback.
+from bluesky.callbacks.best_effort import BestEffortCallback
+bec = BestEffortCallback()
+RE.subscribe(bec)
+peaks = bec.peaks
+
+# Import matplotlib and put it in interactive mode.
+import matplotlib.pyplot as plt
+plt.ion()
+
+# Make plots update live while scans run.
+from bluesky.utils import install_nb_kicker
+install_nb_kicker()
+
+# convenience imports
+# some of the * imports are for 'back-compatibility' of a sort -- we have
+# taught BL staff to expect LiveTable and LivePlot etc. to be in their
+# namespace
+import numpy as np
+
+import bluesky.plans as bp
+import bluesky.plan_stubs as bps
+import bluesky.preprocessors as bpp
 
 #Optional: set any metadata that rarely changes.
 RE.md['beamline_id'] = 'AMX'