def test_rts(rts_host):
request = req.RecsRequest(site_id='8bf9fa832a2cf351cf1a19098038459d',
bsin=BSIN,
seeds=EMPTY_SEEDS,
excludes=EMPTY_EXCLUDES,
recset_id=RECSET_ID,
test=TEST)
metafilter = recs_filter.TFilter(
existence=None,
and_=[
recs_filter.TFilter(existence=None,
and_=None,
or_=None,
recency=None,
overlap=None,
any=None,
named='GLOBAL',
range=None),
recs_filter.TFilter(existence=None,
and_=None,
or_=None,
recency=recs_filter.TRecencyFilter(
range=recs_filter.TRange(min_=-604800.0,
max_=None),
field='pubDate'),
overlap=None,
any=None,
named=None,
range=None),
recs_filter.TFilter(existence=None,
and_=None,
or_=None,
recency=None,
overlap=recs_filter.TOverlapFilter(
amount=recs_filter.TRange(min_=1.0,
max_=None),
values=['article_alist'],
field='resource-type',
match_type=0),
any=None,
named=None,
range=None)
],
or_=None,
recency=None,
overlap=None,
any=None,
named=None,
range=None)
request.groups['articles'] = req.RecGroupRequest(count=COUNT,
metafilter=metafilter)
config = {'host': rts_host, 'port': PORT, 'timeout': TIMEOUT}
with RecommendationsClient(calling_app=CALLING_APP, **config) as client:
response = client.get_recommendations(request)
assert len(response) == COUNT
def test_rts(rts_host):
COUNT1 = 5
COUNT2 = 1
request = req.RecsRequest(site_id='honest-reporting',
bsin='ca297fe2-7390-4a70-9778-19c63b2cb3be',
seeds=EMPTY_SEEDS,
excludes=EMPTY_EXCLUDES,
recset_id=RECSET_ID,
test=TEST)
metafilter = recs_filter.TFilter(overlap=None,
existence=None,
recency=None,
and_=None,
range=None,
or_=None,
any=None,
named='GLOBAL')
request.groups['hr_all'] = req.RecGroupRequest(count=COUNT1,
metafilter=metafilter)
metafilter = recs_filter.TFilter(
overlap=None,
existence=None,
recency=None,
and_=[
recs_filter.TFilter(overlap=None,
existence=None,
recency=None,
and_=None,
range=None,
or_=None,
any=None,
named='GLOBAL'),
recs_filter.TFilter(overlap=None,
existence=None,
recency=recs_filter.TRecencyFilter(
range=recs_filter.TRange(max_=None,
min_=-172800.0),
field='pubDate'),
and_=None,
range=None,
or_=None,
any=None,
named=None)
],
range=None,
or_=None,
any=None,
named=None)
request.groups['hr_recent'] = req.RecGroupRequest(count=COUNT2,
metafilter=metafilter)
config = {'host': rts_host, 'port': PORT, 'timeout': TIMEOUT}
with RecommendationsClient(calling_app=CALLING_APP, **config) as client:
response = client.get_recommendations(request)
assert len(response) == COUNT1 + COUNT2
def test_rts(rts_host):
request = req.RecsRequest(site_id='wide-open-eats',
bsin='e29221c2-e1e5-4a8e-a28d-6a2f267552c6',
seeds=EMPTY_SEEDS,
excludes=EMPTY_EXCLUDES,
recset_id=RECSET_ID,
test=TEST)
COUNT1 = 1
metafilter = recs_filter.TFilter(
overlap=None,
existence=None,
recency=None,
and_=[
recs_filter.TFilter(overlap=None,
existence=None,
recency=None,
and_=None,
range=None,
or_=None,
any=None,
named='GLOBAL'),
recs_filter.TFilter(overlap=None,
existence=None,
recency=recs_filter.TRecencyFilter(
range=recs_filter.TRange(max_=None,
min_=-518400.0),
field='pubDate'),
and_=None,
range=None,
or_=None,
any=None,
named=None)
],
range=None,
or_=None,
any=None,
named=None)
request.groups['featured'] = req.RecGroupRequest(count=COUNT1,
metafilter=metafilter)
COUNT2 = 15
metafilter = recs_filter.TFilter(overlap=None,
existence=None,
recency=None,
and_=None,
range=None,
or_=None,
any=None,
named='GLOBAL')
request.groups['articles'] = req.RecGroupRequest(count=COUNT2,
metafilter=metafilter)
config = {'host': rts_host, 'port': PORT, 'timeout': TIMEOUT}
with RecommendationsClient(calling_app=CALLING_APP, **config) as client:
response = client.get_recommendations(request)
assert len(response) == COUNT1 + COUNT2
def test_rts(rts_host):
request = req.RecsRequest(site_id='long-beach-post',
bsin='e1fb9080-f54f-47cd-923a-ae6d6d9342a0',
seeds=EMPTY_SEEDS,
excludes=EMPTY_EXCLUDES,
recset_id=RECSET_ID,
test=TEST)
COUNT1 = 10
metafilter = recs_filter.TFilter(
overlap=None,
existence=None,
recency=None,
and_=[
recs_filter.TFilter(overlap=None,
existence=None,
recency=None,
and_=None,
range=None,
or_=None,
any=None,
named='GLOBAL'),
recs_filter.TFilter(overlap=None,
existence=None,
recency=recs_filter.TRecencyFilter(
range=recs_filter.TRange(max_=None,
min_=-86400.0),
field='pubDate'),
and_=None,
range=None,
or_=None,
any=None,
named=None)
],
range=None,
or_=None,
any=None,
named=None)
request.groups['featured'] = req.RecGroupRequest(count=COUNT1,
metafilter=metafilter)
config = {'host': rts_host, 'port': PORT, 'timeout': TIMEOUT}
with RecommendationsClient(calling_app=CALLING_APP, **config) as client:
response = client.get_recommendations(request)
assert len(response) == COUNT1
def test_rts(rts_host):
COUNT = 3
request = req.RecsRequest(site_id='3c499a166380645f83154eb95983ed96',
bsin='d3555efd-fc91-418c-a566-25c20ca31212',
seeds=EMPTY_SEEDS,
excludes=EMPTY_EXCLUDES,
recset_id=RECSET_ID,
test=TEST)
td = timedelta(days=-2).total_seconds()
metafilter = recs_filter.TFilter(
overlap=None,
recency=None,
and_=[
recs_filter.TFilter(overlap=None,
recency=None,
and_=None,
existence=None,
or_=None,
named='GLOBAL',
range=None),
recs_filter.TFilter(overlap=None,
recency=recs_filter.TRecencyFilter(
field='pubDate',
range=recs_filter.TRange(min_=td,
max_=None)),
and_=None,
existence=None,
or_=None,
named=None,
range=None)
],
existence=None,
or_=None,
named=None,
range=None)
request.groups[GROUP_NAME] = req.RecGroupRequest(count=COUNT,
metafilter=metafilter)
config = {'host': rts_host, 'port': PORT, 'timeout': TIMEOUT}
with RecommendationsClient(calling_app=CALLING_APP, **config) as client:
response = client.get_recommendations(request)
assert len(response) == COUNT
def test_rts(rts_host):
COUNT = 4
request = req.RecsRequest(site_id='wide-open-country',
bsin='47e8caf8-602f-43fd-af1a-d55f7ac1e93a',
seeds=EMPTY_SEEDS,
excludes=EMPTY_EXCLUDES,
recset_id=RECSET_ID,
test=TEST)
td = timedelta(days=-4).total_seconds()
metafilter = recs_filter.TFilter(overlap=None, recency=None, and_=[
recs_filter.TFilter(overlap=None, recency=None, and_=None, existence=None, or_=None, named='GLOBAL', range=None),
recs_filter.TFilter(overlap=None, recency=recs_filter.TRecencyFilter(field='pubDate', range=recs_filter.TRange(min_=td, max_=None)), and_=None, existence=None, or_=None, named=None, range=None)], existence=None, or_=None, named=None, range=None)
request.groups[GROUP_NAME] = req.RecGroupRequest(count=COUNT, metafilter=metafilter)
config = {'host': rts_host, 'port': PORT, 'timeout': TIMEOUT}
with RecommendationsClient(calling_app=CALLING_APP, **config) as client:
response = client.get_recommendations(request)
assert len(response) == COUNT
def test_metafilter_resource_type_article_abs():
COUNT = 4
request = req.RecsRequest(site_id='cyber-creations',
bsin='0d53ad70-f847-425e-b09e-839a487093b3',
seeds=EMPTY_SEEDS,
excludes=EMPTY_EXCLUDES,
recset_id=RECSET_ID,
test=TEST)
td = timedelta(days=-4).total_seconds()
metafilter = recs_filter.TFilter(overlap=None, recency=None, and_=[
recs_filter.TFilter(overlap=None, recency=None, and_=None, existence=None, or_=None, named='GLOBAL', range=None),
recs_filter.TFilter(overlap=None, recency=recs_filter.TRecencyFilter(field='pubDate', range=recs_filter.TRange(min_=td, max_=None)), and_=None, existence=None, or_=None, named=None, range=None)], existence=None, or_=None, named=None, range=None)
request.groups[GROUP_NAME] = req.RecGroupRequest(count=COUNT, metafilter=metafilter)
config = {'host': HOST, 'port': PORT, 'timeout': TIMEOUT}
with RecommendationsClient(calling_app=CALLING_APP, **config) as client:
response = client.get_recommendations(request)
assert len(response) == COUNT
def test_rts(rts_host):
COUNT = 6
request = req.RecsRequest(site_id='finder',
bsin='c5b7a9cf-7977-4da5-acaa-aa4ad3d03b69',
seeds=EMPTY_SEEDS,
excludes=EMPTY_EXCLUDES,
recset_id=RECSET_ID,
test=TEST)
metafilter = recs_filter.TFilter(
existence=None,
and_=[
recs_filter.TFilter(existence=None,
and_=None,
or_=None,
recency=None,
overlap=None,
any=None,
named='GLOBAL',
range=None),
recs_filter.TFilter(existence=None,
and_=None,
or_=None,
recency=recs_filter.TRecencyFilter(
range=recs_filter.TRange(min_=-604800.0,
max_=None),
field='pubDate'),
overlap=None,
any=None,
named=None,
range=None),
recs_filter.TFilter(existence=None,
and_=None,
or_=None,
recency=None,
overlap=recs_filter.TOverlapFilter(
amount=recs_filter.TRange(min_=1.0,
max_=None),
values=['top story', 'lead story'],
field='tag',
match_type=0),
any=None,
named=None,
range=None),
recs_filter.TFilter(
existence=None,
and_=None,
or_=None,
recency=None,
overlap=recs_filter.TOverlapFilter(
amount=recs_filter.TRange(min_=1.0, max_=None),
values=[
'broadband plans', 'streaming', 'music streaming',
'apps', 'mobile plans', 'cheap phones', 'software',
'gaming', 'wearables', 'internet tv',
'virtual privacy network', 'technology',
'mobile phones', 'nbn tracker'
],
field='section',
match_type=0),
any=None,
named=None,
range=None)
],
or_=None,
recency=None,
overlap=None,
any=None,
named=None,
range=None)
request.groups['finder_tech'] = req.RecGroupRequest(count=COUNT,
metafilter=metafilter)
config = {'host': rts_host, 'port': PORT, 'timeout': TIMEOUT}
with RecommendationsClient(calling_app=CALLING_APP, **config) as client:
response = client.get_recommendations(request)
assert len(response) == COUNT