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# Database for experiment
dbexp = client[("calibdb-cxif5315"]
)
fs = big_data_file_system(dbexp)
 
# Collections:
col1 = dbexp["cspad-0-cxids2-0"]
col2 = dbexp["cspad2x2-0-cxids2-0"]
col3 = dbexp["andor-0-cxids2-0"]
...
# Auto-generated collections
'fs.files'
'fs.chunks'

# Document content for dbexp
doc = {
   "_id":ObjectId("53402597d852426020000002"), # auto-generated
   "experiment": "cxif5315",
   "run": "123",
   "detector": "cspad-0-cxids2-0",
   "ctype": "pedestals",
   "time_sec": "1516321053
   "time_nsec": 123456789",
   "time_stamp": "2018-01-18T16:17:33.123456789-0800",
   "version": "v00-11-22",
   "facilityuid": "LCLS2login-name",
   "uidhost": "login-namepsanaphi102",
   "hostport": "psanaphi10212345",
   "commentscomment": ["very good constants", "throw them in trash immediately!"]
   "id_data_size": 32*185*388
"5a98464a5777035bba3a4f41"   "data_shape": (32,185,388)
   "data_type": "int16"
   "data": np.array(...)
# added as a reference to big data
 }

# References or DBRefs for detectors

dbdet = client['calib-cspad'] 
col1 = dbdet['cspad-0-cxids1-0']
col2Model #1: DB per detector type, collection per detector:
-----------------------------------------------------------
dbdet = client('db-cspad')

# Collections:
col1 = dbdet['cspad-0-cxids2cxids1-0']
col2 = dbdet['cspad-0-cxids2-0']
col3 = dbdet['cspad-0-cxidsd-0']
col4 = dbdet['cspad-0-xcsendstation-0']
col5 = dbdet['cspad-0-xppgon-0']
col6 = dbdet['cspad-0-sxrbeamline-1']
col7 = dbdet['cspad-0-sxrbeamline-1']
col7 = dbdet['cspad-0-mectargetchamber-0']

# Document content for dbdet
doc = {
   "_id":ObjectId("..."),
   "ref_id": ObjectId("534009e4d852427820000002"),
   etc...
}

# Model #2: DB per detector, one collection per detector:
---------------------------------------------------------
dbdet = client('db-cspad-0-cxids1-0')
col = dbdet['cspad-0-mectargetchambercxids1-0']

# Add Documentcollections contentin forcase dbdet
docof =DB {
   "_id":ObjectId("..."),
   "ref_id": ObjectId("534009e4d852427820000002"),
   etc...
}copy
'fs.files'
'fs.chunks'