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()]