New events for Access Requests and IVA actions (GSI-668)

.pyproject_generation/pyproject_custom.toml

@@ -1,6 +1,6 @@
 [project]
 name = "ghga_event_schemas"
-version = "3.0.1"
+version = "3.1.0"
 description = "GHGA Event Schemas: A package that collects schemas used for events exchanged between GHGA service."
 dependencies = [
     "jsonschema>=4.17.3,<5.0.0",

README.md

@@ -17,21 +17,21 @@ We recommend using the provided Docker container.
 
 A pre-build version is available at [docker hub](https://hub.docker.com/repository/docker/ghga/ghga-event-schemas):
 ```bash
-docker pull ghga/ghga-event-schemas:3.0.1
+docker pull ghga/ghga-event-schemas:3.1.0
 ```
 
 Or you can build the container yourself from the [`./Dockerfile`](./Dockerfile):
 ```bash
 # Execute in the repo's root dir:
-docker build -t ghga/ghga-event-schemas:3.0.1 .
+docker build -t ghga/ghga-event-schemas:3.1.0 .
 ```
 
 For production-ready deployment, we recommend using Kubernetes, however,
 for simple use cases, you could execute the service using docker
 on a single server:
 ```bash
 # The entrypoint is preconfigured:
-docker run -p 8080:8080 ghga/ghga-event-schemas:3.0.1 --help
+docker run -p 8080:8080 ghga/ghga-event-schemas:3.1.0 --help
 ```
 
 If you prefer not to use containers, you may install the service from source:

pyproject.toml

@@ -22,7 +22,7 @@ classifiers = [
     "Intended Audience :: Developers",
 ]
 name = "ghga_event_schemas"
-version = "3.0.1"
+version = "3.1.0"
 description = "GHGA Event Schemas: A package that collects schemas used for events exchanged between GHGA service."
 dependencies = [
     "jsonschema>=4.17.3,<5.0.0",

src/ghga_event_schemas/pydantic_.py

@@ -392,6 +392,18 @@ class FileDeletionSuccess(FileDeletionRequested):
     model_config = ConfigDict(title="file_deletion_success")
 
 
+class UserID(BaseModel):
+    """Generic event payload to relay a user ID."""
+
+    user_id: str
+
+
+class AccessRequestDetails(UserID):
+    """Event used to convey the user ID and dataset ID of an access request."""
+
+    dataset_id: str
+
+
 # Lists event schemas (values) by event types (key):
 schema_registry: dict[str, type[BaseModel]] = {
     "metadata_dataset_deleted": MetadataDatasetID,
@@ -408,4 +420,6 @@ class FileDeletionSuccess(FileDeletionRequested):
     "notification": Notification,
     "searchable_resource_deleted": SearchableResourceInfo,
     "searchable_resource_upserted": SearchableResource,
+    "user_id": UserID,
+    "access_request_details": AccessRequestDetails,
 }