Bump hexkit to 3.5.0

.pre-commit-config.yaml

@@ -48,13 +48,13 @@ repos:
       - id: no-commit-to-branch
         args: [--branch, dev, --branch, int, --branch, main]
   - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.1.12
+    rev: v0.5.5
     hooks:
       - id: ruff
         args: [--fix, --exit-non-zero-on-fix]
       - id: ruff-format
   - repo: https://github.com/pre-commit/mirrors-mypy
-    rev: v1.8.0
+    rev: v1.11.1
     hooks:
       - id: mypy
         args: [--no-warn-unused-ignores]

.pyproject_generation/pyproject_custom.toml

@@ -1,12 +1,12 @@
 [project]
 name = "mass"
-version = "2.0.0"
+version = "2.1.0"
 description = "Metadata Artifact Search Service  - A service for searching metadata artifacts and filtering results."
 dependencies = [
     "typer>=0.9.0",
     "ghga-service-commons[api]>=2.0.0",
     "ghga-event-schemas>=1.0.0",
-    "hexkit[mongodb,akafka]>=2.0.0",
+    "hexkit[mongodb,akafka] >= 3.5.0",
 ]
 
 [project.urls]

README.md

@@ -32,21 +32,21 @@ 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:2.0.0
+docker pull ghga/mass:2.1.0
 ```
 
 Or you can build the container yourself from the [`./Dockerfile`](./Dockerfile):
 ```bash
 # Execute in the repo's root dir:
-docker build -t ghga/mass:2.0.0 .
+docker build -t ghga/mass:2.1.0 .
 ```
 
 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/mass:2.0.0 --help
+docker run -p 8080:8080 ghga/mass:2.1.0 --help
 ```
 
 If you prefer not to use containers, you may install the service from source: