updated the pilatus profile to be compatible with the tiled environment

startup/p01_startup.py

@@ -14,7 +14,7 @@
 # Check version of bluesky and act accordingly
 from distutils.version import LooseVersion
 from datetime import datetime
-from xview.spectra_db.db_io import get_spectrum_catalog
+# from xview.spectra_db.db_io import get_spectrum_catalog
 import json
 import time as ttime
 import numpy as np
@@ -107,7 +107,7 @@ def wait_for_connection(self, timeout=DEFAULT_CONNECTION_TIMEOUT):
 db_archive = Broker.named('iss')
 db = Broker.named('iss-local')
 
-db_proc = get_spectrum_catalog()
+# db_proc = get_spectrum_catalog()
 nslsii.configure_base(get_ipython().user_ns, db, pbar=False)
 nslsii.configure_kafka_publisher(RE, "iss")
 

startup/p34-apb_trigger.py

@@ -125,28 +125,28 @@ def collect_asset_docs(self):
 apb_trigger_pil100k = AnalogPizzaBoxTrigger(prefix="XF:08IDB-CT{PBA:1}:Pulse:3:", name="apb_trigger_pil100k")
 # apb_trigger_pil100k = AnalogPizzaBoxTrigger(prefix="XF:08IDB-CT{PBA:1}:Pulse:3:", name="apb_trigger_pil100k")
 
-
-
-class APBTriggerFileHandler(HandlerBase):
-    "Read APB trigger *.bin files"
-    def __init__(self, fpath):
-        raw_data = np.fromfile(fpath, dtype=np.int32)
-        raw_data = raw_data.reshape((raw_data.size // 3, 3))
-        columns = ['timestamp', 'transition']
-        derived_data = np.zeros((raw_data.shape[0], 2))
-        derived_data[:, 0] = raw_data[:, 1] + raw_data[:, 2]  * 8.0051232 * 1e-9  # Unix timestamp with nanoseconds
-        derived_data[:, 1] = raw_data[:, 0]
-
-        self.df = pd.DataFrame(data=derived_data, columns=columns)
-        self.raw_data = raw_data
-
-    def __call__(self):
-        return self.df
-
-
-
-
-db.reg.register_handler('APB_TRIGGER',
-                        APBTriggerFileHandler, overwrite=True)
-
+#
+#
+# class APBTriggerFileHandler(HandlerBase):
+#     "Read APB trigger *.bin files"
+#     def __init__(self, fpath):
+#         raw_data = np.fromfile(fpath, dtype=np.int32)
+#         raw_data = raw_data.reshape((raw_data.size // 3, 3))
+#         columns = ['timestamp', 'transition']
+#         derived_data = np.zeros((raw_data.shape[0], 2))
+#         derived_data[:, 0] = raw_data[:, 1] + raw_data[:, 2]  * 8.0051232 * 1e-9  # Unix timestamp with nanoseconds
+#         derived_data[:, 1] = raw_data[:, 0]
+#
+#         self.df = pd.DataFrame(data=derived_data, columns=columns)
+#         self.raw_data = raw_data
+#
+#     def __call__(self):
+#         return self.df
+#
+#
+#
+#
+# db.reg.register_handler('APB_TRIGGER',
+#                         APBTriggerFileHandler, overwrite=True)
+#
 

startup/p36-pilatus100k.py

@@ -485,8 +485,8 @@ def pil_count(acq_time:int = 1, num_frames:int =1, open_shutter:bool=True):
     #     # return_dict['image'] = self._image_data[frame, :, :].squeeze()
     #     return return_dict
     #     # return self._roi_data
-
-
-from xas.handlers import ISSPilatusHDF5Handler
-db.reg.register_handler('PIL100k_HDF5',
-                         ISSPilatusHDF5Handler, overwrite=True)
+#
+#
+# from xas.handlers import ISSPilatusHDF5Handler
+# db.reg.register_handler('PIL100k_HDF5',
+#                          ISSPilatusHDF5Handler, overwrite=True)