def fromTerm(term):
terms = [convert.pipe2value(t) for t in convert.pipe2value(term).split("|")]
candidate = dict(zip(jx_fields, terms))
for p in domain.partitions:
for k, t in candidate.items():
if p.value[k] != t:
break
else:
return p
if domain.type in ["uid", "default"]:
part = {"value": candidate}
domain.partitions.append(part)
return part
else:
return Null
def fromTerm(term):
terms = [convert.pipe2value(t) for t in convert.pipe2value(term).split("|")]
candidate = dict(zip(jx_fields, terms))
for p in domain.partitions:
for k, t in candidate.items():
if p.value[k] != t:
break
else:
return p
if domain.type in ["uid", "default"]:
part = {"value": candidate}
domain.partitions.append(part)
return part
else:
return Null
def unpack_terms(facet, selects):
# INTERPRET THE TERM-PACKED ES RESULTS AND RETURN DATA CUBE
# ASSUME THE .term IS JSON OBJECT WITH ARRAY OF RESULT OBJECTS
mod = len(selects)
output = []
for t in facet.terms:
if t.term == "":
continue # NO DATA
value = []
for i, v in enumerate(t.term.split("|")):
value.append(convert.pipe2value(v))
if ((i + 1) % mod) == 0:
value.append(t.count)
output.append(value)
value = []
return output
def unpack_terms(facet, selects):
# INTERPRET THE TERM-PACKED ES RESULTS AND RETURN DATA CUBE
# ASSUME THE .term IS JSON OBJECT WITH ARRAY OF RESULT OBJECTS
mod = len(selects)
output = []
for t in facet.terms:
if t.term == "":
continue # NO DATA
value = []
for i, v in enumerate(t.term.split("|")):
value.append(convert.pipe2value(v))
if ((i + 1) % mod) == 0:
value.append(t.count)
output.append(value)
value = []
return output
