def country_texts_embedded(factsys, data):
factsys.grammar.embed("G")
import G
fields = factsys.fieldnames.split()
facts = []
for tuple in data:
countr = factsys.str2exp("Name", tuple[0])
cap = factsys.str2exp('Name', tuple.capital)
cont = factsys.str2exp('Name', tuple.continent).unpack()[1][0] #CDNAME
curr = factsys.str2exp('Name', tuple.currency)
pop = pgf.readExpr(str(tuple.population))
are = pgf.readExpr(str(tuple.area))
doc = G.OneSentenceDoc(
G.FactSentence(
G.KindFact(
G.NameObject(countr),
G.ModifierKind(
G.PropertyKind(G.cdProperty(cont), G.country_Kind),
G.NumericKindModifier(G.IntNumeric(pop),
G.inhabitant_Kind)))))
doc = G.AddSentenceDoc(
doc,
G.FactSentence(
G.AttributeFact(G.area_Attribute, G.PronObject(countr),
G.NumericValue(G.IntNumeric(are)))))
doc = G.AddSentenceDoc(
doc,
G.ConjSentence(
G.FactSentence(
G.AttributeFact(G.capital_Attribute, G.NameObject(countr),
G.NameValue(cap))),
G.FactSentence(
G.AttributeFact(G.currency_Attribute, G.PronObject(countr),
G.NameValue(curr)))))
facts.append(doc)
return facts
