def _ctorCmprRange(self, vals):
if not isinstance(vals, (list, tuple)):
raise s_exc.BadCmprValu(name=self.name, valu=vals, cmpr='range=')
if len(vals) != 2:
raise s_exc.BadCmprValu(name=self.name, valu=vals, cmpr='range=')
minv = self.norm(vals[0])[0]
maxv = self.norm(vals[1])[0]
def cmpr(valu):
return minv <= valu <= maxv
return cmpr
def indxByRange(self, valu):
'''
Override default *range= handler to account for relative computation.
'''
if not isinstance(valu, (list, tuple)):
raise s_exc.BadCmprValu(valu=valu, cmpr='*range=')
if len(valu) != 2:
raise s_exc.BadCmprValu(valu=valu, cmpr='*range=')
tick, tock = self.getTickTock(valu)
return self._indxTimeRange(tick, tock)
def indxByRange(self, valu):
if not isinstance(valu, (list, tuple)):
raise s_exc.BadCmprValu(name=self.name, valu=valu, cmpr='*range=')
if len(valu) != 2:
raise s_exc.BadCmprValu(name=self.name, valu=valu, cmpr='*range=')
minv, _ = self.norm(valu[0])
maxv, _ = self.norm(valu[1])
mini = self.indx(minv)
maxi = self.indx(maxv)
return (('range', (mini, maxi)), )
async def _doRuntLift(self, genr, full, valu=None, cmpr=None):
if cmpr is not None:
filt = self.model.prop(full).type.getCmprCtor(cmpr)(valu)
if filt is None:
raise s_exc.BadCmprValu(cmpr=cmpr)
fullprop = self.model.prop(full)
if fullprop.isform:
if cmpr is None:
for obj in genr():
yield obj.getStorNode(fullprop)
return
for obj in genr():
sode = obj.getStorNode(fullprop)
if filt(sode[1]['ndef'][1]):
yield sode
else:
for obj in genr():
sode = obj.getStorNode(fullprop.form)
propval = sode[1]['props'].get(fullprop.name)
if propval is not None and (cmpr is None or filt(propval)):
yield sode
async def _synModelLift(self, full, valu=None, cmpr=None):
if not self._modelRuntsByBuid:
self._initModelRunts()
# runt lift helpers must decide what comparators they support
if cmpr is not None and cmpr != '=':
raise s_exc.BadCmprValu(
mesg='Model runtime nodes only support equality comparator.',
cmpr=cmpr)
# Runt lift helpers must support their own normalization for data retrieval
if valu is not None:
prop = self.model.prop(full)
valu, _ = prop.type.norm(valu)
# runt lift helpers must then yield buid/rows pairs for Node object creation.
if valu is None:
buids = self._modelRuntsByPropValu.get(full, ())
else:
buids = self._modelRuntsByPropValu.get((full, valu), ())
rowsets = [(buid, self._modelRuntsByBuid.get(buid, ()))
for buid in buids]
for buid, rows in rowsets:
yield buid, rows
def _ctorCmprRange(self, vals):
'''
Override default *range= handler to account for relative computation.
'''
if not isinstance(vals, (list, tuple)):
raise s_exc.BadCmprValu(valu=vals, cmpr='*range=')
if len(vals) != 2:
raise s_exc.BadCmprValu(valu=vals, cmpr='*range=')
tick, tock = self.getTickTock(vals)
def cmpr(valu):
return tick <= valu <= tock
return cmpr
def indxByRange(self, valu):
'''
Override default ``*range=`` handler to account for relative computation.
'''
if not isinstance(valu, (list, tuple)):
raise s_exc.BadCmprValu(valu=valu, cmpr='*range=')
if len(valu) != 2:
raise s_exc.BadCmprValu(valu=valu, cmpr='*range=')
tick, tock = self.getTickTock(valu)
if tick > tock:
# User input has requested a nullset
return ()
return self._indxTimeRange(tick, tock)
def indxByIn(self, vals):
opers = []
if not isinstance(vals, (list, tuple)):
raise s_exc.BadCmprValu(name=self.name, valu=vals, cmpr='*in=')
for valu in vals:
opers.extend(self.getIndxOps(valu))
return opers
def _ctorCmprRange(self, vals):
'''
Override default range= handler to account for relative computation.
'''
if not isinstance(vals, (list, tuple)):
raise s_exc.BadCmprValu(valu=vals, cmpr='range=')
if len(vals) != 2:
raise s_exc.BadCmprValu(valu=vals, cmpr='range=')
tick, tock = self.getTickTock(vals)
if tick > tock:
# User input has requested a nullset
def cmpr(valu):
return False
return cmpr
def cmpr(valu):
return tick <= valu <= tock
return cmpr
async def _synModelLift(self, full, valu=None, cmpr=None):
if not self._modelRuntsByBuid:
self._initModelRunts()
if cmpr is not None and cmpr != '=':
raise s_exc.BadCmprValu(mesg='Model runtime nodes only support equality comparator.',
cmpr=cmpr)
if valu is None:
buids = self._modelRuntsByPropValu.get(full, ())
else:
prop = self.model.prop(full)
valu, _ = prop.type.norm(valu)
buids = self._modelRuntsByPropValu.get((full, valu), ())
rowsets = [(buid, self._modelRuntsByBuid.get(buid, ())) for buid in buids]
for buid, rows in rowsets:
yield buid, rows
