def test_tas_filter_not_object_or_list(client, monkeypatch,
elasticsearch_award_index,
subaward_with_tas):
_setup_es(client, monkeypatch, elasticsearch_award_index)
resp = query_by_tas_subaward(client, "This shouldn't be a string")
assert resp.status_code == status.HTTP_422_UNPROCESSABLE_ENTITY, "Failed to return 422 Response"
def test_tas_unparsable_no_main(client, monkeypatch, elasticsearch_award_index,
subaward_with_tas):
_setup_es(client, monkeypatch, elasticsearch_award_index)
resp = query_by_tas_subaward(
client, {"require": [["011", "011-0990", "011-2000/2000-000"]]})
assert resp.status_code == status.HTTP_422_UNPROCESSABLE_ENTITY, "Failed to return 422 Response"
def test_match_on_multiple_awards(client, monkeypatch,
elasticsearch_award_index,
subaward_with_no_tas):
_setup_es(client, monkeypatch, elasticsearch_award_index)
resp = query_by_tas_subaward(client, {"require": [_tas_path(BASIC_TAS)]})
assert resp.json()["results"] == []
def test_agency_level_exclude_match(client, monkeypatch,
elasticsearch_award_index,
subaward_with_tas):
_setup_es(client, monkeypatch, elasticsearch_award_index)
resp = query_by_tas_subaward(client, {"exclude": [_agency_path(ATA_TAS)]})
assert resp.json()["results"] == [_subaward1()]
def test_match_from_agency(client, monkeypatch, elasticsearch_award_index,
subaward_with_tas):
_setup_es(client, monkeypatch, elasticsearch_award_index)
resp = query_by_tas_subaward(client,
{"require": [_agency_path(BASIC_TAS)]})
assert resp.json()["results"] == [_subaward1()]
def test_tas_level_require_non_match(client, monkeypatch,
elasticsearch_award_index,
subaward_with_tas):
_setup_es(client, monkeypatch, elasticsearch_award_index)
resp = query_by_tas_subaward(client, {"require": [_tas_path(ATA_TAS)]})
assert resp.json()["results"] == []
def test_fa_level_exclude_non_match(client, monkeypatch,
elasticsearch_award_index,
subaward_with_tas):
_setup_es(client, monkeypatch, elasticsearch_award_index)
resp = query_by_tas_subaward(client, {"exclude": [_fa_path(BASIC_TAS)]})
assert resp.json()["results"] == []
def test_sibling_filters_one_match(client, monkeypatch,
elasticsearch_award_index,
multiple_subawards_with_sibling_tas):
_setup_es(client, monkeypatch, elasticsearch_award_index)
resp = query_by_tas_subaward(client,
{"require": [_tas_path(SISTER_TAS[1])]})
assert resp.json()["results"] == [_subaward2()]
def test_tas_filter_is_legacy(client, monkeypatch, elasticsearch_award_index,
subaward_with_tas):
_setup_es(client, monkeypatch, elasticsearch_award_index)
resp = query_by_tas_subaward(client, [{
"main": TAS_DICTIONARIES[0]["main"],
"aid": TAS_DICTIONARIES[0]["aid"]
}])
assert len(resp.json()["results"]) == 1
def test_non_match_from_unintuitive_tas_from_tas(
client, monkeypatch, elasticsearch_award_index,
subaward_with_unintuitive_agency):
_setup_es(client, monkeypatch, elasticsearch_award_index)
# ensure that api CANNOT find a TAS from the agency in the TAS code's aid, because it's actually linked under a
# different agency
resp = query_by_tas_subaward(client, {"require": [_tas_path(ATA_TAS)]})
assert resp.json()["results"] == []
def test_exclude_eclipsing_require(client, monkeypatch,
elasticsearch_award_index,
subaward_with_tas):
_setup_es(client, monkeypatch, elasticsearch_award_index)
resp = query_by_tas_subaward(client, {
"require": [_agency_path(BASIC_TAS)],
"exclude": [_fa_path(BASIC_TAS)]
})
assert resp.json()["results"] == []
def test_match_from_unintuitive_tas(client, monkeypatch,
elasticsearch_award_index,
subaward_with_unintuitive_agency):
_setup_es(client, monkeypatch, elasticsearch_award_index)
resp = query_by_tas_subaward(
client,
{"require": [[UNINTUITIVE_AGENCY,
_fa(BASIC_TAS),
_tas(BASIC_TAS)]]})
assert resp.json()["results"] == [_subaward1()]
def test_sibling_filters_two_matchs(client, monkeypatch,
elasticsearch_award_index,
multiple_subawards_with_sibling_tas):
_setup_es(client, monkeypatch, elasticsearch_award_index)
resp = query_by_tas_subaward(
client,
{"require": [_tas_path(SISTER_TAS[1]),
_tas_path(SISTER_TAS[0])]})
assert resp.json()["results"].sort(
key=lambda elem: elem["internal_id"]) == [
_subaward1(), _subaward2()
].sort(key=lambda elem: elem["internal_id"])
def test_sibling_eclipsing_filters(client, monkeypatch,
elasticsearch_award_index,
multiple_subawards_with_tas):
_setup_es(client, monkeypatch, elasticsearch_award_index)
resp = query_by_tas_subaward(
client,
{
"require": [_agency_path(BASIC_TAS),
_tas_path(ATA_TAS)],
"exclude": [_agency_path(ATA_TAS),
_tas_path(BASIC_TAS)],
},
)
assert resp.json()["results"] == [_subaward2()]
