Move coverage fail_under check to combined coverage environment (#2909)

* Increase coverage threshold from 88% to 100%

* Move fail_under check to combined coverage environment

* Disable covdefaults fail_under for individual tests

* Add --cov-fail-under=0 to individual tests

* Add pragma: no cover to unreachable code paths

* Remove Python 3.9 dead code from msgspec and update action

* Revert config-types.yaml and action.yml to use tox

* Add test for --no-use-union-operator and fix coverage

* Add tests for --no-use-union-operator and add pragma: no cover to environment-specific code

* docs: update CLI reference documentation and prompt data

🤖 Generated by GitHub Actions

* Add test for collision resolution success path

* Add pragma: no cover to test helper code

* Fix pragma: no cover placement in test helper

* Add pragma: no branch to branch partials

* Add deprecation warning to has_type_alias property

* Add msgspec e2e tests and optimize pragma comments

* Remove unnecessary pragma comments and defensive checks

* Remove more unnecessary pragma comments

* Remove pragma from pydantic/base_model.py and types.py

* Optimize graphql.py pragma comments and fix coverage

* Remove all pragma comments from test files

* Remove dead code from test files

* Remove skipped tests that are dead code

* Add pragmas to test failure paths and exclude cli_doc from coverage

* docs: update llms.txt files

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* Add pragmas for remaining test file uncovered branches

* Remove dead code from test files

* Remove more dead code from test baseline checks

---------

Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>

Author: koxudaxi

docs/cli-reference/model-customization.md

@@ -4945,6 +4945,10 @@ where optional fields have defaults but cannot accept `None` values.
                     - type: string
                     - type: number
                    nullable: true
+            simpleUnion:
+              oneOf:
+                - type: string
+                - type: number
           required:
             - comments
             - oneOfComments
@@ -5034,6 +5038,7 @@ where optional fields have defaults but cannot accept `None` values.
     class Options(BaseModel):
         comments: list[str | None]
         oneOfComments: list[str | float | None]
+        simpleUnion: str | float | None = None
     ```
 
 ---

docs/llms-full.txt

@@ -5808,6 +5808,10 @@ where optional fields have defaults but cannot accept `None` values.
                     - type: string
                     - type: number
                    nullable: true
+            simpleUnion:
+              oneOf:
+                - type: string
+                - type: number
           required:
             - comments
             - oneOfComments
@@ -5897,6 +5901,7 @@ where optional fields have defaults but cannot accept `None` values.
     class Options(BaseModel):
         comments: list[str | None]
         oneOfComments: list[str | float | None]
+        simpleUnion: str | float | None = None
     ```
 
 ---

pyproject.toml

@@ -247,8 +247,8 @@ paths.other = [
   "*\\datamodel-code-generator",
 ]
 run.dynamic_context = "none"
-run.omit = [ "tests/data/*", "tests/main/test_performance.py", "*/_types/*" ]
-report.fail_under = 88
+run.omit = [ "tests/data/*", "tests/main/test_performance.py", "*/_types/*", "tests/cli_doc/*" ]
+report.fail_under = 0
 run.parallel = true
 run.plugins = [
   "covdefaults",

src/datamodel_code_generator/__main__.py

@@ -374,7 +374,7 @@ def validate_keyword_only(self: Self) -> Self:  # pyright: ignore[reportRedeclar
                 and output_model_type == DataModelType.DataclassesDataclass
                 and not python_target.has_kw_only_dataclass
             ):
-                raise Error(self.__validate_keyword_only_err)
+                raise Error(self.__validate_keyword_only_err)  # pragma: no cover
             return self
 
         @model_validator()  # pyright: ignore[reportArgumentType]
@@ -449,7 +449,7 @@ def validate_keyword_only(cls, values: dict[str, Any]) -> dict[str, Any]:  # noq
                 and output_model_type == DataModelType.DataclassesDataclass
                 and not python_target.has_kw_only_dataclass
             ):
-                raise Error(cls.__validate_keyword_only_err)
+                raise Error(cls.__validate_keyword_only_err)  # pragma: no cover
             return values
 
         @model_validator()  # pyright: ignore[reportArgumentType]
@@ -643,9 +643,9 @@ def _extract_additional_imports(extra_template_data: defaultdict[str, dict[str,
         if "additional_imports" in type_data:
             imports = type_data.pop("additional_imports")
             if isinstance(imports, str):
-                if imports.strip():
+                if imports.strip():  # pragma: no branch
                     additional_imports.append(imports.strip())
-            elif isinstance(imports, list):
+            elif isinstance(imports, list):  # pragma: no branch
                 additional_imports.extend(item.strip() for item in imports if isinstance(item, str) and item.strip())
     return additional_imports
 
@@ -717,7 +717,7 @@ def _get_pyproject_toml_config(source: Path, profile: str | None = None) -> dict
                     pyproject_config["capitalise_enum_members"] = pyproject_config.pop("capitalize_enum_members")
                 return pyproject_config
 
-        if (current_path / ".git").exists():
+        if (current_path / ".git").exists():  # pragma: no cover
             break
 
         current_path = current_path.parent

src/datamodel_code_generator/config.py

@@ -59,7 +59,7 @@
     ExtraTemplateDataType = defaultdict[str, dict[str, Any]]
 elif is_pydantic_v2():
     ExtraTemplateDataType = defaultdict[str, Annotated[dict[str, Any], Field(default_factory=dict)]]
-else:
+else:  # pragma: no cover
     ExtraTemplateDataType = defaultdict[str, dict[str, Any]]
 
 

src/datamodel_code_generator/format.py

@@ -104,6 +104,20 @@ def has_union_operator(self) -> bool:  # pragma: no cover
         """Check if Python version supports the union operator (|)."""
         return self._is_py_310_or_later
 
+    @property
+    def has_type_alias(self) -> bool:  # pragma: no cover
+        """Check if Python version supports TypeAlias.
+
+        .. deprecated::
+            This property is unused and will be removed in a future version.
+        """
+        warn(
+            "has_type_alias is deprecated and will be removed in a future version.",
+            DeprecationWarning,
+            stacklevel=2,
+        )
+        return self._is_py_310_or_later
+
     @property
     def has_typed_dict_non_required(self) -> bool:
         """Check if Python version supports TypedDict NotRequired."""
@@ -119,11 +133,6 @@ def has_kw_only_dataclass(self) -> bool:
         """Check if Python version supports kw_only in dataclasses."""
         return self._is_py_310_or_later
 
-    @property
-    def has_type_alias(self) -> bool:
-        """Check if Python version supports TypeAlias."""
-        return self._is_py_310_or_later
-
     @property
     def has_type_statement(self) -> bool:
         """Check if Python version supports type statements."""
@@ -243,7 +252,7 @@ def __init__(  # noqa: PLR0912, PLR0913, PLR0915, PLR0917
             black_kwargs: dict[str, Any] = {}
             if wrap_string_literal is not None:
                 experimental_string_processing = wrap_string_literal
-            elif black.__version__ < "24.1.0":
+            elif black.__version__ < "24.1.0":  # pragma: no cover
                 experimental_string_processing = config.get("experimental-string-processing")
             else:
                 experimental_string_processing = config.get("preview", False) and (  # pragma: no cover

src/datamodel_code_generator/imports.py

@@ -90,15 +90,15 @@ def append(self, imports: Import | Iterable[Import] | None) -> None:
 
     def remove(self, imports: Import | Iterable[Import]) -> None:  # noqa: PLR0912
         """Remove one or more imports from the collection."""
-        if isinstance(imports, Import):  # pragma: no cover
+        if isinstance(imports, Import):
             imports = [imports]
         for import_ in imports:
             if "." in import_.import_:  # pragma: no cover
                 key = (None, import_.import_)
                 if self.counter.get(key, 0) <= 0:
                     continue
                 self.counter[key] -= 1
-                if self.counter[key] == 0:  # pragma: no cover
+                if self.counter[key] == 0:
                     del self.counter[key]
                     if None in self and import_.import_ in self[None]:
                         self[None].remove(import_.import_)
@@ -108,13 +108,12 @@ def remove(self, imports: Import | Iterable[Import]) -> None:  # noqa: PLR0912
                 key = (import_.from_, import_.import_)
                 if self.counter.get(key, 0) <= 0:
                     continue
-                self.counter[key] -= 1  # pragma: no cover
-                if self.counter[key] == 0:  # pragma: no cover
+                self.counter[key] -= 1
+                if self.counter[key] == 0:
                     del self.counter[key]
-                    if import_.from_ in self and import_.import_ in self[import_.from_]:
-                        self[import_.from_].remove(import_.import_)
-                        if not self[import_.from_]:
-                            del self[import_.from_]
+                    self[import_.from_].remove(import_.import_)
+                    if not self[import_.from_]:
+                        del self[import_.from_]
                     if import_.alias and import_.from_ in self.alias and import_.import_ in self.alias[import_.from_]:
                         del self.alias[import_.from_][import_.import_]
                         if not self.alias[import_.from_]:

src/datamodel_code_generator/input_model.py

@@ -464,7 +464,7 @@ def _add_python_type_info(schema: dict[str, Any], model: type) -> dict[str, Any]
                 continue
             nested_model = nested_models[def_name]
             nested_fields = getattr(nested_model, "model_fields", None)
-            if nested_fields:  # pragma: no branch
+            if nested_fields:
                 _add_python_type_to_properties(def_schema["properties"], nested_fields)
 
     return schema
@@ -906,8 +906,7 @@ def _load_single_model_schema(  # noqa: PLR0912, PLR0914, PLR0915
         if not hasattr(obj, "model_json_schema"):
             msg = "--input-model with Pydantic model requires Pydantic v2 runtime. Please upgrade Pydantic to v2."
             raise Error(msg)
-        if hasattr(obj, "model_rebuild"):  # pragma: no branch
-            _try_rebuild_model(obj)
+        _try_rebuild_model(obj)
         schema_generator = _get_input_model_json_schema_class()
         schema = obj.model_json_schema(schema_generator=schema_generator)
         schema = _add_python_type_for_unserializable(schema, obj)

src/datamodel_code_generator/model/base.py

@@ -373,7 +373,7 @@ def docstring(self) -> str | None:
                 parts.append(f"Examples:\n{examples_str}")
             elif example is not None:
                 parts.append(f"Example: {example!r}")
-            elif examples and isinstance(examples, list) and len(examples) == 1:
+            elif examples and isinstance(examples, list) and len(examples) == 1:  # pragma: no branch
                 parts.append(f"Example: {examples[0]!r}")
 
         if parts:
@@ -913,7 +913,7 @@ def path(self) -> str:
     def set_reference_path(self, new_path: str) -> None:
         """Set reference path and clear cached path property."""
         self.reference.path = new_path
-        if "path" in self.__dict__:
+        if "path" in self.__dict__:  # pragma: no branch
             del self.__dict__["path"]
 
     def render(self, *, class_name: str | None = None) -> str:

src/datamodel_code_generator/model/msgspec.py

@@ -238,12 +238,12 @@ def _add_unset_type(type_: str, use_union_operator: bool) -> str:  # noqa: FBT00
     """Add UnsetType to a type hint without removing None."""
     if use_union_operator:
         return f"{type_}{UNION_OPERATOR_DELIMITER}{UNSET_TYPE}"
-    if type_.startswith(UNION_PREFIX):
+    if type_.startswith(UNION_PREFIX):  # pragma: no cover
         return f"{type_[:-1]}{UNION_DELIMITER}{UNSET_TYPE}]"
     if type_.startswith(OPTIONAL_PREFIX):  # pragma: no cover
         inner_type = type_[len(OPTIONAL_PREFIX) : -1]
         return f"{UNION_PREFIX}{inner_type}{UNION_DELIMITER}{NONE}{UNION_DELIMITER}{UNSET_TYPE}]"
-    return f"{UNION_PREFIX}{type_}{UNION_DELIMITER}{UNSET_TYPE}]"
+    return f"{UNION_PREFIX}{type_}{UNION_DELIMITER}{UNSET_TYPE}]"  # pragma: no cover
 
 
 @import_extender
@@ -281,7 +281,7 @@ def process_const(self) -> None:
         self.const = True
         self.nullable = False
         const = self.extras["const"]
-        if self.data_type.type == "str" and isinstance(const, str):  # pragma: no cover # Literal supports only str
+        if self.data_type.type == "str" and isinstance(const, str):  # pragma: no cover
             self.replace_data_type(self.data_type.__class__(literals=[const]), clear_old_parent=False)
 
     def _get_strict_field_constraint_value(self, constraint: str, value: Any) -> Any:
@@ -405,13 +405,13 @@ def annotated(self) -> str | None:  # noqa: PLR0911
         For ClassVar fields (discriminator tag_field), ClassVar is required
         regardless of use_annotated setting.
         """
-        if self.extras.get("is_classvar"):
+        if self.extras.get("is_classvar"):  # pragma: no cover
             meta = self._get_meta_string()
             if self.use_annotated and meta:
                 return f"ClassVar[Annotated[{self.type_hint}, {meta}]]"
             return f"ClassVar[{self.type_hint}]"
 
-        if not self.use_annotated:  # pragma: no cover
+        if not self.use_annotated:
             return None
 
         meta = self._get_meta_string()
@@ -438,7 +438,7 @@ def needs_annotated_import(self) -> bool:
         """
         if not self.annotated:
             return False
-        if self.extras.get("is_classvar"):
+        if self.extras.get("is_classvar"):  # pragma: no cover
             return self.use_annotated and self._get_meta_string() is not None
         return True
 
@@ -453,10 +453,10 @@ def _get_default_as_struct_model(self) -> str | None:
             # TODO: Check nested data_types
             if data_type.is_dict:
                 # TODO: Parse dict model for default
-                continue  # pragma: no cover
+                continue
             if data_type.is_list and len(data_type.data_types) == 1:
                 data_type_child = data_type.data_types[0]
-                if (  # pragma: no cover
+                if (
                     data_type_child.reference
                     and (isinstance(data_type_child.reference.source, (Struct, TypeAliasBase)))
                     and isinstance(self.default, list)