def test_filter_auto_renew(self):
filter = Filter()
res = filter.in_filter("A", "B", "C", dimension='links')
res.to_dict()
res2 = filter.in_filter("D","E", dimension='links')
expected2 = {
'filter': {
'type': 'in',
'dimension': 'links',
'values': ['D', 'E']
}
}
self.assertEqual(res2.to_dict(), expected2)
def test_filter_auto_renew2(self):
filter = Filter()
res = ~filter.selector(dimension='country_name', value='AUSTRALIA')
res.to_dict()
res2 = filter.in_filter("D", "E", dimension='links')
expected_logic = None
self.assertEqual(res2._logic, expected_logic)
def test_in_filter(self):
filter = Filter()
res = filter.in_filter("A", "B", "C", dimension='links')
expected = {
'filter': {
'type': 'in',
'dimension': 'links',
'values': ['A', 'B', 'C']
}
}
self.assertEqual(res.to_dict(), expected)
def test_query3(self):
query = BasicQuery('linkmeta')
query.dates(begin_date="2019-07-01", end_date="2019-07-28")
query.time_series_reference("arrival")
query.granularity(period="P7D")
filter = Filter()
query.filter(
filter.in_filter("VIC17483860",
"VIC6052402",
"NSW500187142",
dimension="link_id"))
query.aggregate(metric="unique_agents", described_as="unique_agents")
query.aggregate(metric="total_records")
query.dumps()
expected = {
"dates": {
"beginDate": "2019-07-01",
"endDate": "2019-07-28",
"type": "range"
},
"aggregations": [{
"metric": "unique_agents",
"type": "hyperUnique",
"describedAs": "unique_agents"
}, {
"metric": "total_records",
"type": "longSum"
}],
"queryGranularity": {
"period": "P7D",
"type": "period",
"timeZone": "Australia/Sydney"
},
"filter": {
"dimension": "link_id",
"type": "in",
"values": ["VIC17483860", "VIC6052402", "NSW500187142"]
},
"timeSeriesReference":
"arrival"
}
self.assertEqual(query._req, expected)