Bump major version

.pyproject_generation/pyproject_custom.toml

@@ -1,11 +1,11 @@
 [project]
 name = "mass"
-version = "2.1.0"
+version = "3.0.0"
 description = "Metadata Artifact Search Service  - A service for searching metadata artifacts and filtering results."
 dependencies = [
     "typer>=0.12",
-    "ghga-service-commons[api]>=3.0.0",
-    "ghga-event-schemas>=2.0.0",
+    "ghga-service-commons[api]>=3.1.5",
+    "ghga-event-schemas>=3.1.1",
     "hexkit[mongodb,akafka]>=3.5.0",
 ]
 

README.md

@@ -36,21 +36,21 @@ We recommend using the provided Docker container.
 
 A pre-build version is available at [docker hub](https://hub.docker.com/repository/docker/ghga/mass):
 ```bash
-docker pull ghga/mass:2.1.0
+docker pull ghga/mass:3.0.0
 ```
 
 Or you can build the container yourself from the [`./Dockerfile`](./Dockerfile):
 ```bash
 # Execute in the repo's root dir:
-docker build -t ghga/mass:2.1.0 .
+docker build -t ghga/mass:3.0.0 .
 ```
 
 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/mass:2.1.0 --help
+docker run -p 8080:8080 ghga/mass:3.0.0 --help
 ```
 
 If you prefer not to use containers, you may install the service from source:

pyproject.toml

@@ -21,12 +21,12 @@ classifiers = [
     "Intended Audience :: Developers",
 ]
 name = "mass"
-version = "2.1.0"
+version = "3.0.0"
 description = "Metadata Artifact Search Service  - A service for searching metadata artifacts and filtering results."
 dependencies = [
     "typer>=0.12",
-    "ghga-service-commons[api]>=3.0.0",
-    "ghga-event-schemas>=2.0.0",
+    "ghga-service-commons[api]>=3.1.5",
+    "ghga-event-schemas>=3.1.1",
     "hexkit[mongodb,akafka]>=3.5.0",
 ]