Private Datasets: process acceptance testing feedback: Vol. 1 (#1054)

* TransformInput: after validation, use alias only for error messages

* OsoDatasetAuthorizer: be prepared to work with duplicates

* Release (patch): 0.221.1

CHANGELOG.md

@@ -11,16 +11,23 @@ Recommendation: for ease of reading, use the following order:
 - Fixed
 -->
 
+### [0.221.1] - 2025-01-31
+### Fixed
+- Private Datasets:
+  - Validation `SetTransform` event (input datasets): IDs are used for accessibility checks. 
+      Aliases are used only to generate an error message.
+  - `OsoDatasetAuthorizer`: readiness to handle duplicates when filtering
+
 ## [0.221.0] - 2025-01-29
 ### Added
-- GQL suport to query and update email on the currently logged account
+- GQL support to query and update email on the currently logged account
 - Account registration sends `AccountLifecycleEvent` to `Outbox`
 ### Changed
 - Emails are mandatory for Kamu accounts now:
-   - predefined users need to specify an email in config
-   - predefined users are auto-synced at startup in case they existed before
-   - GitHub users are queried for primary verified email, even if it is not public
-   - migration code for the database existing users
+  - predefined users need to specify an email in config
+  - predefined users are auto-synced at startup in case they existed before
+  - GitHub users are queried for primary verified email, even if it is not public
+  - migration code for the database existing users
 
 ## [0.220.0] - 2025-01-27
 ### Changed
@@ -380,7 +387,7 @@ Introduced `DatasetRegistry` abstraction, encapsulating listing and resolution o
 ### Changed
 - Outbox main loop was revised to minimize the number of transactions:
     - split outbox into planner and consumption jobs components
-    - planner analyzes current state and loads bunch of unprocessed messages within a 1 transaction only
+    - planner analyzes current state and loads a bunch of unprocessed messages within a 1 transaction only
     - consumption jobs invoke consumers and detect their failures
 - Detecting concurrent modifications in flow and task event stores
 - Improved and cleaned handling of flow abortions at different stages of processing