def test_hist_facet(self):
s = Search(
facets=F.hist('price', start=0, end=100, gap=50)
)
with self.engine(s) as r:
res = set(r.facets.histograms['price'].items())
wanted = set([(('0.0', '50.0'), 0), (('50.0', '100.0'), 4)])
self.assertEquals(res, wanted)
def test_hist_facet(self):
s = Search(
q = "shirt",
facets = F.hist("price", start=10, end=100, gap=5, key='prices')
)
self.assertEquals(s.build(),
"products/search?q=shirt&facet=" +
enc("field=price/type=hist/key=prices/range=[10:100:5]")
)
def test_multiple_facets(self):
s = Search(q="shirt",
facets=[
F.enum('brand', num=10, key='top_brands'),
F.hist('price', start=0, end=100, gap=10)
])
self.assertEquals(
s.build(), "products/search?q=shirt" + '&facet=' +
enc("field=brand/type=enum/key=top_brands/num=10") + '&facet=' +
enc("field=price/type=hist/range=[0:100:10]"))
def test_hist_facet(self):
s = Search(q="shirt",
facets=F.hist("price",
start=10,
end=100,
gap=5,
key='prices'))
self.assertEquals(
s.build(), "products/search?q=shirt&facet=" +
enc("field=price/type=hist/key=prices/range=[10:100:5]"))
def test_multiple_facets(self):
s = Search(
q = "shirt",
facets = [
F.enum('brand', num=10, key='top_brands'),
F.hist('price', start=0, end=100, gap=10)
]
)
self.assertEquals(s.build(),
"products/search?q=shirt" +
'&facet=' + enc("field=brand/type=enum/key=top_brands/num=10") +
'&facet=' + enc("field=price/type=hist/range=[0:100:10]")
)
print results.facets.enums
# 12. A query where we want red dresses and the range of prices returned
s = Search(
q = 'red dress',
facets = F.range('price')
)
with engine(s) as results:
print results.facets.ranges
# 13. A query where we want red dresses and a histogram of their
# price fields from 0-500 in increments of 100.
s = Search(
q = 'red dress',
facets = F.hist('price', start=0, end=500, gap=100)
)
with engine(s) as results:
print results.facets.histograms
# 14. A search with multiple keyed facets on the 'brand' field
s = Search(
q = 'red dress',
facets = [
F.range('price', tag="price_range"),
F.hist('price', start=0, end=500, gap=100, tag='price_hist')
]
)
with engine(s) as results:
def test_hist_facet(self):
s = Search(facets=F.hist('price', start=0, end=100, gap=50))
with self.engine(s) as r:
res = set(r.facets.histograms['price'].items())
wanted = set([(('0.0', '50.0'), 0), (('50.0', '100.0'), 4)])
self.assertEquals(res, wanted)
s = Search(q='red dress',
filter=NF.cnf(Field('price') < 100),
facet=F.enum('brand', num=5))
with engine(s) as results:
print results.facets.enums
# 12. A query where we want red dresses and the range of prices returned
s = Search(q='red dress', facets=F.range('price'))
with engine(s) as results:
print results.facets.ranges
# 13. A query where we want red dresses and a histogram of their
# price fields from 0-500 in increments of 100.
s = Search(q='red dress', facets=F.hist('price', start=0, end=500, gap=100))
with engine(s) as results:
print results.facets.histograms
# 14. A search with multiple keyed facets on the 'brand' field
s = Search(q='red dress',
facets=[
F.range('price', tag="price_range"),
F.hist('price', start=0, end=500, gap=100, tag='price_hist')
])
with engine(s) as results:
print results.facets
# 15. pass array of tags to exclude into the facet