From bd9f3f360c765c42b4d138d8de0368131bc24586 Mon Sep 17 00:00:00 2001 From: Vincent Date: Tue, 10 Dec 2024 17:13:36 +0100 Subject: [PATCH] Update extract_segments_of_year --- .../monitorfish/fleet_segments_of_year.sql | 6 ++- .../test_shared_tasks/test_segments.py | 40 ++++++------------- 2 files changed, 16 insertions(+), 30 deletions(-) diff --git a/datascience/src/pipeline/queries/monitorfish/fleet_segments_of_year.sql b/datascience/src/pipeline/queries/monitorfish/fleet_segments_of_year.sql index cbb22e703e..444bc544d4 100644 --- a/datascience/src/pipeline/queries/monitorfish/fleet_segments_of_year.sql +++ b/datascience/src/pipeline/queries/monitorfish/fleet_segments_of_year.sql @@ -1,4 +1,5 @@ -SELECT +SELECT + year, segment, segment_name, gears, @@ -12,4 +13,5 @@ SELECT vessel_types, impact_risk_factor FROM public.fleet_segments -WHERE year = :year \ No newline at end of file +WHERE year = :year +ORDER BY segment \ No newline at end of file diff --git a/datascience/tests/test_pipeline/test_shared_tasks/test_segments.py b/datascience/tests/test_pipeline/test_shared_tasks/test_segments.py index 191d00130d..205b983708 100644 --- a/datascience/tests/test_pipeline/test_shared_tasks/test_segments.py +++ b/datascience/tests/test_pipeline/test_shared_tasks/test_segments.py @@ -11,8 +11,12 @@ @pytest.fixture -def expected_all_segments() -> pd.DataFrame: - current_year = datetime.utcnow().year +def current_year() -> int: + return datetime.utcnow().year + + +@pytest.fixture +def expected_all_segments(current_year) -> pd.DataFrame: expected_segments = pd.DataFrame( { "year": [2022, 2022, current_year, current_year], @@ -59,38 +63,18 @@ def expected_all_segments() -> pd.DataFrame: @pytest.fixture -def expected_segments_of_year() -> pd.DataFrame: - return pd.DataFrame( - { - "segment": ["SWW01/02/03", "SWW04"], - "segment_name": ["Bottom trawls", "Midwater trawls"], - "gears": [ - ["OTB", "OTT", "PTB", "OT", "PT", "TBN", "TBS", "TX", "TB"], - ["OTM", "PTM"], - ], - "fao_areas": [["27.8.c", "27.8", "27.9"], ["27.8.c", "27.8"]], - "min_mesh": [80.0, None], - "max_mesh": [120.0, None], - "target_species": [["HKE", "SOL", "ANF", "MNZ", "NEP", "LEZ"], ["HKE"]], - "min_share_of_target_species": [0.0, 0.0], - "main_scip_species_type": ["DEMERSAL", "PELAGIC"], - "priority": [0.0, 1.0], - "vessel_types": [ - None, - ["Navire qui pĂȘche", "Chalutier", "Ligneur", "Navire qui navigue"], - ], - "impact_risk_factor": [3.0, 2.1], - } - ) +def expected_segments_of_current_year(expected_all_segments) -> pd.DataFrame: + return expected_all_segments.loc[2:4].reset_index(drop=True) -def test_extract_segments_of_year(reset_test_data, expected_segments_of_year): - current_year = datetime.utcnow().year +def test_extract_segments_of_year( + reset_test_data, expected_segments_of_current_year, current_year +): segments = extract_segments_of_year.run(current_year) pd.testing.assert_frame_equal( segments.sort_values("segment").reset_index(drop=True), - expected_segments_of_year, + expected_segments_of_current_year, )