fix: unify mypy environments for local checks and CI (#1291)

The isolated pre-commit mypy hook previously omitted runtime type information that
make mypy used, hiding errors involving dependencies such as Pydantic and Pendulum.
Makefile, pre-commit and CI now run the same full-project typing policy in the
development environment defined by uv.lock.

- Use uv run --locked --exact --extra dev and the same mypy arguments for Makefile
  and the local hook. Check all of src and tests, including on configuration-only
  changes.
- Pin Python 3.13 for local development and the pre-commit CI job, and install the
  locked pre-commit version in CI.
- Disable incremental analysis because existing Pendulum cache state changes mypy 2.3.1
  diagnostics. Document the policy, the performance tradeoff and the existing typing debt.
- Add a regression test that exercises Makefile, the hook and the CI command in a
  temporary project, accepting valid dependency types and detecting deliberate
  Pydantic/Pendulum assignment errors.

Resolve the newly detected mypy diagnostics.

- Enable the numpydantic and Pydantic mypy plugins, retaining strict Pydantic
  constructor typing with init_typed = true. Validate raw/coercible payloads through model_validate.
- Propagate concrete record, provider and time-window types through generic collections,
  factories and lookup methods. Preserve runtime field inspection and generated time-window
  documentation.
- Align Pendulum annotations with actual factory/arithmetic results while retaining Pydantic
  validation adapters at runtime. Correct optional values, array boundaries, REST handlers
  and plotting interfaces.
- Add pinned scipy-stubs and types-psutil, update uv.lock, and supply the plugins' dependencies.
- Add runtime regression coverage for validated path defaults, normalized time-series metadata,
  generic field inspection, invalid timestamps and unsupported provider imports.

Runtime and compatibility details:

- Validate path defaults as Path objects while retaining raw string defaults needed by
  migration serialization with exclude_defaults.
- Normalize feed-in tariff lists and default charge rates to NumPy arrays; reject missing
  timestamps/uninitialized values explicitly. Importing into a provider without import support
  returns HTTP 400.
- Public JSON schemas and OpenAPI structure match main (excluding the generated version).

Signed-off-by: dr-dimitry

Signed-off-by: dr-dimitry
Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
Co-authored-by: dr-dimitri <87113560+dr-dimitri@users.noreply.github.com>
Co-authored-by: Normann <github@koldrack.com>

src/akkudoktoreos/server/dash/configuration.py

@@ -192,7 +192,7 @@ def get_default_value(field_info: Union[FieldInfo, ComputedFieldInfo], regular_f
     """
     import pathlib
 
-    if not regular_field:
+    if not regular_field or not isinstance(field_info, FieldInfo):
         return "N/A"
 
     # Resolve the raw default — prefer plain default, fall back to factory
@@ -200,7 +200,7 @@ def get_default_value(field_info: Union[FieldInfo, ComputedFieldInfo], regular_f
         val = field_info.default
     elif field_info.default_factory is not None:
         try:
-            val = field_info.default_factory()
+            val = field_info.get_default(call_default_factory=True)
         except Exception:
             return ""
     else:
@@ -250,12 +250,12 @@ def resolve_nested_types(field_type: Any, parent_types: list[str]) -> list[tuple
 
 
 def create_config_details(
-    model: type[PydanticBaseModel], values: dict, values_prefix: list[str] = []
+    model: type[PydanticBaseModel] | type[ConfigEOS], values: dict, values_prefix: list[str] = []
 ) -> dict[str, dict]:
     """Generate configuration details based on provided values and model metadata.
 
     Args:
-        model (type[PydanticBaseModel]): The Pydantic model to extract configuration from.
+        model: An EOS model or the top-level settings class to extract configuration from.
         values (dict): A dictionary containing the current configuration values.
         values_prefix (list[str]): A list of parent type names that prefixes the model values in the values.
 
@@ -271,7 +271,11 @@ def create_config_details(
     ) -> None:
         nonlocal values, values_prefix
         regular_field = isinstance(subfield_info, FieldInfo)
-        subtype = subfield_info.annotation if regular_field else subfield_info.return_type
+        subtype = (
+            subfield_info.annotation
+            if isinstance(subfield_info, FieldInfo)
+            else subfield_info.return_type
+        )
 
         nested_types = resolve_nested_types(subtype, [])
         found_basic = False