Update tests to reduce amount of times py_api fixture is used

.github/workflows/tests.yml

@@ -6,6 +6,7 @@ on:
   pull_request:
     paths:
       - 'src/**'
+      - 'tests/**'
       - 'docker/**'
       - 'docker-compose.yaml'
       - 'pyproject.toml'

tests/routers/openml/dataset_tag_test.py

@@ -4,10 +4,12 @@
 import pytest
 from sqlalchemy.ext.asyncio import AsyncConnection
 
-from core.errors import AuthenticationFailedError, TagAlreadyExistsError
+from core.errors import TagAlreadyExistsError
 from database.datasets import get_tags_for
+from database.users import User
+from routers.openml.datasets import tag_dataset
 from tests import constants
-from tests.users import ApiKey
+from tests.users import ADMIN_USER, OWNER_USER, SOME_USER, ApiKey
 
 
 @pytest.mark.parametrize(
@@ -22,73 +24,71 @@ async def test_dataset_tag_rejects_unauthorized(key: ApiKey, py_api: httpx.Async
         json={"data_id": next(iter(constants.PRIVATE_DATASET_ID)), "tag": "test"},
     )
     assert response.status_code == HTTPStatus.UNAUTHORIZED
-    assert response.headers["content-type"] == "application/problem+json"
-    error = response.json()
-    assert error["type"] == AuthenticationFailedError.uri
-    assert error["code"] == "103"
+
+
+@pytest.mark.parametrize(
+    "tag",
+    ["", "h@", " a", "a" * 65],
+    ids=["too short", "@", "space", "too long"],
+)
+async def test_dataset_tag_invalid_tag_is_rejected(
+    # Constraints for the tag are handled by FastAPI
+    tag: str,
+    py_api: httpx.AsyncClient,
+) -> None:
+    new = await py_api.post(
+        f"/datasets/tag?api_key={ApiKey.ADMIN}",
+        json={"data_id": 1, "tag": tag},
+    )
+
+    assert new.status_code == HTTPStatus.UNPROCESSABLE_ENTITY
+    assert new.json()["detail"][0]["loc"] == ["body", "tag"]
+
+
+# ── Direct call tests: tag_dataset ──
 
 
 @pytest.mark.mut
 @pytest.mark.parametrize(
-    "key",
-    [ApiKey.ADMIN, ApiKey.SOME_USER, ApiKey.OWNER_USER],
+    "user",
+    [ADMIN_USER, SOME_USER, OWNER_USER],
     ids=["administrator", "non-owner", "owner"],
 )
-async def test_dataset_tag(
-    key: ApiKey, expdb_test: AsyncConnection, py_api: httpx.AsyncClient
-) -> None:
+async def test_dataset_tag(user: User, expdb_test: AsyncConnection) -> None:
     dataset_id, tag = next(iter(constants.PRIVATE_DATASET_ID)), "test"
-    response = await py_api.post(
-        f"/datasets/tag?api_key={key}",
-        json={"data_id": dataset_id, "tag": tag},
+    result = await tag_dataset(
+        data_id=dataset_id,
+        tag=tag,
+        user=user,
+        expdb_db=expdb_test,
     )
-    assert response.status_code == HTTPStatus.OK
-    assert response.json() == {"data_tag": {"id": str(dataset_id), "tag": [tag]}}
+    assert result == {"data_tag": {"id": str(dataset_id), "tag": [tag]}}
 
     tags = await get_tags_for(id_=dataset_id, connection=expdb_test)
     assert tag in tags
 
 
 @pytest.mark.mut
-async def test_dataset_tag_returns_existing_tags(py_api: httpx.AsyncClient) -> None:
-    dataset_id, tag = 1, "test"
-    response = await py_api.post(
-        f"/datasets/tag?api_key={ApiKey.ADMIN}",
-        json={"data_id": dataset_id, "tag": tag},
+async def test_dataset_tag_returns_existing_tags(expdb_test: AsyncConnection) -> None:
+    dataset_id, tag = 1, "test"  # Dataset 1 already is tagged with 'study_14'
+    result = await tag_dataset(
+        data_id=dataset_id,
+        tag=tag,
+        user=ADMIN_USER,
+        expdb_db=expdb_test,
     )
-    assert response.status_code == HTTPStatus.OK
-    assert response.json() == {"data_tag": {"id": str(dataset_id), "tag": ["study_14", tag]}}
+    assert result == {"data_tag": {"id": str(dataset_id), "tag": ["study_14", tag]}}
 
 
 @pytest.mark.mut
-async def test_dataset_tag_fails_if_tag_exists(py_api: httpx.AsyncClient) -> None:
+async def test_dataset_tag_fails_if_tag_exists(expdb_test: AsyncConnection) -> None:
     dataset_id, tag = 1, "study_14"  # Dataset 1 already is tagged with 'study_14'
-    response = await py_api.post(
-        f"/datasets/tag?api_key={ApiKey.ADMIN}",
-        json={"data_id": dataset_id, "tag": tag},
-    )
-    assert response.status_code == HTTPStatus.CONFLICT
-    assert response.headers["content-type"] == "application/problem+json"
-    error = response.json()
-    assert error["type"] == TagAlreadyExistsError.uri
-    assert error["code"] == "473"
-    assert str(dataset_id) in error["detail"]
-    assert tag in error["detail"]
-
-
-@pytest.mark.parametrize(
-    "tag",
-    ["", "h@", " a", "a" * 65],
-    ids=["too short", "@", "space", "too long"],
-)
-async def test_dataset_tag_invalid_tag_is_rejected(
-    tag: str,
-    py_api: httpx.AsyncClient,
-) -> None:
-    new = await py_api.post(
-        f"/datasets/tag?api_key={ApiKey.ADMIN}",
-        json={"data_id": 1, "tag": tag},
-    )
-
-    assert new.status_code == HTTPStatus.UNPROCESSABLE_ENTITY
-    assert new.json()["detail"][0]["loc"] == ["body", "tag"]
+    with pytest.raises(TagAlreadyExistsError) as e:
+        await tag_dataset(
+            data_id=dataset_id,
+            tag=tag,
+            user=ADMIN_USER,
+            expdb_db=expdb_test,
+        )
+    assert str(dataset_id) in e.value.detail
+    assert tag in e.value.detail

tests/routers/openml/datasets_features_test.py

@@ -0,0 +1,104 @@
+"""Tests for the GET /datasets/features/{dataset_id} endpoint."""
+
+from http import HTTPStatus
+
+import httpx
+import pytest
+from sqlalchemy.ext.asyncio import AsyncConnection
+
+from core.errors import DatasetNoAccessError, DatasetNotFoundError, DatasetProcessingError
+from database.users import User
+from routers.openml.datasets import get_dataset_features
+from tests.users import ADMIN_USER, DATASET_130_OWNER
+
+
+async def test_get_features_via_api(py_api: httpx.AsyncClient) -> None:
+    response = await py_api.get("/datasets/features/4")
+    assert response.status_code == HTTPStatus.OK
+    assert response.json() == [
+        {
+            "index": 0,
+            "name": "left-weight",
+            "data_type": "numeric",
+            "is_target": False,
+            "is_ignore": False,
+            "is_row_identifier": False,
+            "number_of_missing_values": 0,
+        },
+        {
+            "index": 1,
+            "name": "left-distance",
+            "data_type": "numeric",
+            "is_target": False,
+            "is_ignore": False,
+            "is_row_identifier": False,
+            "number_of_missing_values": 0,
+        },
+        {
+            "index": 2,
+            "name": "right-weight",
+            "data_type": "numeric",
+            "is_target": False,
+            "is_ignore": False,
+            "is_row_identifier": False,
+            "number_of_missing_values": 0,
+        },
+        {
+            "index": 3,
+            "name": "right-distance",
+            "data_type": "numeric",
+            "is_target": False,
+            "is_ignore": False,
+            "is_row_identifier": False,
+            "number_of_missing_values": 0,
+        },
+        {
+            "index": 4,
+            "name": "class",
+            "data_type": "nominal",
+            "nominal_values": ["B", "L", "R"],
+            "is_target": True,
+            "is_ignore": False,
+            "is_row_identifier": False,
+            "number_of_missing_values": 0,
+        },
+    ]
+
+
+async def test_dataset_features_with_ontology(expdb_test: AsyncConnection) -> None:
+    features = await get_dataset_features(dataset_id=11, user=None, expdb=expdb_test)
+    by_index = {f.index: f for f in features}
+    assert by_index[1].ontology == ["https://en.wikipedia.org/wiki/Service_(motor_vehicle)"]
+    assert by_index[2].ontology == [
+        "https://en.wikipedia.org/wiki/Car_door",
+        "https://en.wikipedia.org/wiki/Door",
+    ]
+    assert by_index[3].ontology == [
+        "https://en.wikipedia.org/wiki/Passenger_vehicles_in_the_United_States"
+    ]
+    assert by_index[0].ontology is None
+    assert by_index[4].ontology is None
+
+
+async def test_dataset_features_no_access(expdb_test: AsyncConnection) -> None:
+    with pytest.raises(DatasetNoAccessError):
+        await get_dataset_features(dataset_id=130, user=None, expdb=expdb_test)
+
+
+@pytest.mark.parametrize("user", [ADMIN_USER, DATASET_130_OWNER])
+async def test_dataset_features_access_to_private(user: User, expdb_test: AsyncConnection) -> None:
+    features = await get_dataset_features(dataset_id=130, user=user, expdb=expdb_test)
+    assert isinstance(features, list)
+
+
+async def test_dataset_features_with_processing_error(expdb_test: AsyncConnection) -> None:
+    dataset_id = 55
+    with pytest.raises(DatasetProcessingError) as e:
+        await get_dataset_features(dataset_id=dataset_id, user=None, expdb=expdb_test)
+    assert "No features found" in e.value.detail
+    assert str(dataset_id) in e.value.detail
+
+
+async def test_dataset_features_dataset_does_not_exist(expdb_test: AsyncConnection) -> None:
+    with pytest.raises(DatasetNotFoundError):
+        await get_dataset_features(dataset_id=1000, user=None, expdb=expdb_test)

tests/routers/openml/datasets_get_test.py

@@ -0,0 +1,142 @@
+"""Tests for the GET /datasets/{dataset_id} endpoint."""
+
+import re
+from http import HTTPStatus
+
+import httpx
+import pytest
+from sqlalchemy import text
+from sqlalchemy.ext.asyncio import AsyncConnection
+
+from core.errors import DatasetNoAccessError, DatasetNotFoundError
+from database.users import User
+from routers.openml.datasets import get_dataset
+from schemas.datasets.openml import DatasetMetadata
+from tests.users import ADMIN_USER, DATASET_130_OWNER, NO_USER, SOME_USER
+
+
+async def test_get_dataset_via_api(py_api: httpx.AsyncClient) -> None:
+    response = await py_api.get("/datasets/1")
+    assert response.status_code == HTTPStatus.OK
+    description = response.json()
+    assert description.pop("description").startswith("**Author**:")
+    assert description == {
+        "id": 1,
+        "name": "anneal",
+        "version": 1,
+        "format": "arff",
+        "description_version": 1,
+        "upload_date": "2014-04-06T23:19:24",
+        "licence": "Public",
+        "url": "http://php-api/data/v1/download/1/anneal.arff",
+        "parquet_url": "http://minio:9000/datasets/0000/0001/dataset_1.pq",
+        "file_id": 1,
+        "default_target_attribute": ["class"],
+        "version_label": "1",
+        "tag": ["study_14"],
+        "visibility": "public",
+        "status": "active",
+        "processing_date": "2024-01-04T10:13:59",
+        "md5_checksum": "4eaed8b6ec9d8211024b6c089b064761",
+        "row_id_attribute": [],
+        "ignore_attribute": [],
+        "language": "",
+        "error": None,
+        "warning": None,
+        "citation": "",
+        "collection_date": None,
+        "contributor": [],
+        "creator": [],
+        "paper_url": None,
+        "original_data_url": [],
+    }
+
+
+async def test_rfc9457_error_format(py_api: httpx.AsyncClient) -> None:
+    """Single test for the generic RFC 9457 exception handler — covers all error types."""
+    response = await py_api.get("/datasets/100000")
+    assert response.status_code == HTTPStatus.NOT_FOUND
+    assert response.headers["content-type"] == "application/problem+json"
+    error = response.json()
+    assert error["type"] == DatasetNotFoundError.uri
+    assert error["title"] == "Dataset Not Found"
+    assert error["status"] == HTTPStatus.NOT_FOUND
+    assert re.match(r"No dataset with id \d+ found.", error["detail"])
+    assert error["code"] == "111"
+
+
+@pytest.mark.mut
+async def test_dataset_no_500_with_multiple_processing_entries(
+    py_api: httpx.AsyncClient,
+    expdb_test: AsyncConnection,
+) -> None:
+    """Regression test for issue #145: multiple processing entries caused 500."""
+    await expdb_test.execute(
+        text("INSERT INTO evaluation_engine(id, name, description) VALUES (99, 'test_engine', '')"),
+    )
+    await expdb_test.execute(
+        text(
+            "INSERT INTO data_processed(did, evaluation_engine_id, user_id, processing_date) "
+            "VALUES (1, 99, 2, '2020-01-01 00:00:00')",
+        ),
+    )
+    response = await py_api.get("/datasets/1")
+    assert response.status_code == HTTPStatus.OK
+
+
+@pytest.mark.parametrize(
+    "dataset_id",
+    [-1, 138, 100_000],
+)
+async def test_get_dataset_not_found(
+    dataset_id: int,
+    expdb_test: AsyncConnection,
+    user_test: AsyncConnection,
+) -> None:
+    with pytest.raises(DatasetNotFoundError):
+        await get_dataset(
+            dataset_id=dataset_id,
+            user=None,
+            user_db=user_test,
+            expdb_db=expdb_test,
+        )
+
+
+@pytest.mark.parametrize(
+    "user",
+    [
+        NO_USER,
+        SOME_USER,
+    ],
+)
+async def test_private_dataset_no_access(
+    user: User | None,
+    expdb_test: AsyncConnection,
+    user_test: AsyncConnection,
+) -> None:
+    with pytest.raises(DatasetNoAccessError) as e:
+        await get_dataset(
+            dataset_id=130,
+            user=user,
+            user_db=user_test,
+            expdb_db=expdb_test,
+        )
+    assert e.value.status_code == HTTPStatus.FORBIDDEN
+    assert e.value.uri == DatasetNoAccessError.uri
+    no_access = 112
+    assert e.value.code == no_access
+
+
+@pytest.mark.parametrize(
+    "user", [DATASET_130_OWNER, ADMIN_USER, pytest.param(SOME_USER, marks=pytest.mark.xfail)]
+)
+async def test_private_dataset_access(
+    user: User, expdb_test: AsyncConnection, user_test: AsyncConnection
+) -> None:
+    dataset = await get_dataset(
+        dataset_id=130,
+        user=user,
+        user_db=user_test,
+        expdb_db=expdb_test,
+    )
+    assert isinstance(dataset, DatasetMetadata)