TST: Add test to ensure all optional fields have defaults

tests/conftest.py

@@ -15,11 +15,11 @@
 
 import fmu.dataio as dio
 from fmu.config import utilities as ut
-from fmu.dataio._model import fields, global_configuration
+from fmu.dataio._model import Root, fields, global_configuration
 from fmu.dataio.dataio import ExportData, read_metadata
 from fmu.dataio.providers._fmu import FmuEnv
 
-from .utils import _metadata_examples
+from .utils import _get_nested_pydantic_models, _metadata_examples
 
 logger = logging.getLogger(__name__)
 
@@ -699,3 +699,9 @@ def fixture_drogon_volumes(rootpath):
             rootpath / "tests/data/drogon/tabular/geogrid--vol.csv",
         )
     )
+
+
+@pytest.fixture(scope="session")
+def pydantic_models_from_root():
+    """Return all nested pydantic models from Root and downwards"""
+    return _get_nested_pydantic_models(Root)

tests/test_schema/test_pydantic_logic.py

@@ -2,6 +2,7 @@
 
 import logging
 from copy import deepcopy
+from typing import get_args
 
 import pytest
 from pydantic import ValidationError
@@ -32,6 +33,22 @@ def test_validate(file, example):
     Root.model_validate(example)
 
 
+def test_for_optional_fields_without_default(pydantic_models_from_root):
+    """Test that all optional fields have a default value"""
+    optionals_without_default = []
+    for model in pydantic_models_from_root:
+        for field_name, field_info in model.model_fields.items():
+            if (
+                type(None) in get_args(field_info.annotation)
+                and field_info.is_required()
+            ):
+                optionals_without_default.append(
+                    f"{model.__module__}.{model.__name__}.{field_name}"
+                )
+
+    assert not optionals_without_default
+
+
 def test_schema_file_block(metadata_examples):
     """Test variations on the file block."""
 

tests/test_units/test_utils.py

@@ -3,14 +3,16 @@
 import os
 from pathlib import Path
 from tempfile import NamedTemporaryFile
+from typing import Dict, List, Optional, Union
 
 import numpy as np
 import pytest
 from xtgeo import Grid, Polygons, RegularSurface
 
 from fmu.dataio import _utils as utils
+from fmu.dataio._model import fields
 
-from ..utils import inside_rms
+from ..utils import _get_pydantic_models_from_annotation, inside_rms
 
 
 @pytest.mark.parametrize(
@@ -148,3 +150,29 @@ def test_read_named_envvar():
 
     os.environ["MYTESTENV"] = "mytestvalue"
     assert utils.read_named_envvar("MYTESTENV") == "mytestvalue"
+
+
+def test_get_pydantic_models_from_annotation():
+    annotation = Union[List[fields.Access], fields.File]
+    assert _get_pydantic_models_from_annotation(annotation) == [
+        fields.Access,
+        fields.File,
+    ]
+    annotation = Optional[Union[Dict[str, fields.Access], List[fields.File]]]
+    assert _get_pydantic_models_from_annotation(annotation) == [
+        fields.Access,
+        fields.File,
+    ]
+
+    annotation = List[Union[fields.Access, fields.File, fields.Tracklog]]
+    assert _get_pydantic_models_from_annotation(annotation) == [
+        fields.Access,
+        fields.File,
+        fields.Tracklog,
+    ]
+
+    annotation = List[List[List[List[fields.Tracklog]]]]
+    assert _get_pydantic_models_from_annotation(annotation) == [fields.Tracklog]
+
+    annotation = Union[str, List[int], Dict[str, int]]
+    assert not _get_pydantic_models_from_annotation(annotation)

tests/utils.py

@@ -1,9 +1,13 @@
+from __future__ import annotations
+
 import datetime
 from functools import wraps
 from pathlib import Path
+from typing import Any, get_args
 
 import pytest
 import yaml
+from pydantic import BaseModel
 
 
 def inside_rms(func):
@@ -43,3 +47,28 @@ def _metadata_examples():
         path.name: _isoformat_all_datetimes(_parse_yaml(path))
         for path in Path(".").absolute().glob("schema/definitions/0.8.0/examples/*.yml")
     }
+
+
+def _get_pydantic_models_from_annotation(annotation: Any) -> list[Any]:
+    """
+    Get a list of all pydantic models defined inside an annotation.
+    Example: Union[Model1, list[dict[str, Model2]]] returns [Model1, Model2]
+    """
+    if isinstance(annotation, type(BaseModel)):
+        return [annotation]
+
+    annotations = []
+    for ann in get_args(annotation):
+        annotations += _get_pydantic_models_from_annotation(ann)
+    return annotations
+
+
+def _get_nested_pydantic_models(model: type[BaseModel]) -> set[type[BaseModel]]:
+    """Get a set of all nested pydantic models from a pydantic model"""
+    models = {model}
+
+    for field_info in model.model_fields.values():
+        for model in _get_pydantic_models_from_annotation(field_info.annotation):
+            if model not in models:
+                models.update(_get_nested_pydantic_models(model))
+    return models