fix: default server settings prevent env var config (#1234)

Change configuration source priorities to:

- cli
- environment vars
- dotenv settings
- config file settings
- init settings

By this the environment vars supersede any configuration var
provided by the configuration file or by the initialisation
with pydantic.

The test_config.py::test_computed_path was fixed to to not
use the defaul env var overwrite defined by conftest.py.
This seemed to indicate non working env vars, but in fact
was a test setupt fault.

Besides this fix there are other fixes and changes added:

* fix: exclude computed fields when merging settings

  Pydantic may overwrite settings by values given for computed
  fields and use these values instead of re-computing the field.
  Avoid computed fields in merging settings.

* chore: improve Windows compatability of development setup

  Improve scripts to better run also on Windows. When doing path
  checks keep compatibility also to Windows pathes. A lot of
  changes to avoid the famous Windows CRLF handling and keep
  line endings to LF.

* chore: add development hint for Windows

  Windows developers should set core.autocrlf to false.

* chore: update version

Signed-off-by: b0661 <b0661n0e17e@gmail.com>

src/akkudoktoreos/core/pydantic.py

@@ -66,6 +66,9 @@ def merge_models(source: BaseModel, update_dict: dict[str, Any]) -> dict[str, An
     Nested dictionaries are merged recursively.
     Lists in update_dict replace source lists entirely.
 
+    Computed fields are excluded from the source model because they represent
+    derived state rather than configuration input.
+
     Args:
         source (BaseModel): Pydantic model instance serving as the source.
         update_dict (dict[str, Any]): Dictionary with updates to apply.
@@ -91,7 +94,10 @@ def merge_models(source: BaseModel, update_dict: dict[str, Any]) -> dict[str, An
         # For other types or if update_data is None, override source_data
         return update_data
 
-    source_dict = source.model_dump(exclude_unset=True)
+    source_dict = source.model_dump(
+        exclude_unset=True,
+        exclude_computed_fields=True,
+    )
     merged_result = deep_merge(source_dict, deepcopy(update_dict))
     return merged_result