o.maxLen = 1000
o.queryType = 'measurement'
o.queryId = ObjectId('4fdbac481d41c834fb000001')
o.fields = ['capturetime','string']
o.groupTime = 'minute'
o.valueMap = {}
o.since = None
o.before = None
o.customFilter = {}
o.statsInfo = [{'sum': 1},
{'min': 'string'},
{'max': 'string'}]
o.save()
c = Chart()
c.name = 'Colors Evaluated'
c.olap = o.name
c.style = 'column'
c.minval = 0
c.maxval = 10
c.xtype = 'linear'
c.colormap = {'0': 'red', '1': 'green', '2': 'yellow','3': u'orange','4': 'purple'}
c.labelmap = {'0': 'red','1': 'green','2': 'yellow','3': 'orange','4': 'purple'}
c.accumulate = True
c.renderorder = 2
c.halfsize = True
c.realtime = True
c.save()
## Delivery time
o = OLAP()
o.name = 'Movement'
o.maxLen = 1000
o.queryType = 'measurement_id'
o.queryId = meas.id
o.fields = ['capturetime','numeric', 'measurement_id', 'inspection_id', 'frame_id']
o.since = None
o.before = None
o.customFilter = {}
o.statsInfo = []
o.save()
c = Chart()
c.name = 'Movement'
c.olap = o.name
c.style = 'spline'
c.minval = 0
c.maxval = None
c.xtype = 'datetime'
c.colormap = {}
c.labelmap = {}
c.accumulate = False
c.renderorder = 1
c.halfsize = False
c.realtime = True
c.dataMap = ['capturetime','numeric']
c.metaMap = ['measurement_id', 'inspection_id', 'frame_id']
c.save()
meas = Measurement( name="movement", label="Movement", method = "movement", parameters = dict(), units = "", featurecriteria = dict( index = 0 ), inspection = insp.id )
meas.save()
o1 = OLAP()
o1.name = 'Motion'
o1.maxLen = 1000
o1.queryType = 'measurement_id'
o1.queryId = meas.id
o1.fields = ['capturetime','numeric', 'measurement_id', 'inspection_id', 'frame_id']
o1.since = None
o1.before = None
o1.customFilter = {}
o1.statsInfo = []
o1.save()
c1 = Chart()
c1.name = 'Motion'
c1.olap = o1.name
c1.style = 'spline'
c1.minval = 0
c1.maxval = 100
c1.xtype = 'datetime'
c1.colormap = {}
c1.labelmap = {}
c1.accumulate = False
c1.renderorder = 1
c1.halfsize = False
c1.realtime = True
c1.dataMap = ['capturetime','numeric']
c1.metaMap = ['measurement_id', 'inspection_id', 'frame_id']
c1.save()