Bump version and update lock file

.pre-commit-config.yaml

@@ -51,7 +51,7 @@ repos:
       - id: debug-statements
       - id: debug-statements
   - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.0.292
+    rev: v0.1.7
     hooks:
       - id: ruff
         args: [--fix, --exit-non-zero-on-fix]
@@ -60,7 +60,7 @@ repos:
     hooks:
       - id: black
   - repo: https://github.com/pre-commit/mirrors-mypy
-    rev: v1.5.1
+    rev: v1.7.1
     hooks:
       - id: mypy
         args: [--no-warn-unused-ignores]

README.md

@@ -63,21 +63,21 @@ We recommend using the provided Docker container.
 
 A pre-build version is available at [docker hub](https://hub.docker.com/repository/docker/ghga/metldata):
 ```bash
-docker pull ghga/metldata:1.0.0
+docker pull ghga/metldata:1.1.0
 ```
 
 Or you can build the container yourself from the [`./Dockerfile`](./Dockerfile):
 ```bash
 # Execute in the repo's root dir:
-docker build -t ghga/metldata:1.0.0 .
+docker build -t ghga/metldata:1.1.0 .
 ```
 
 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/metldata:1.0.0 --help
+docker run -p 8080:8080 ghga/metldata:1.1.0 --help
 ```
 
 If you prefer not to use containers, you may install the service from source:

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "metldata"
-version = "1.0.0"
+version = "1.1.0"
 description = "metldata - A framework for handling metadata based on ETL, CQRS, and event sourcing."
 readme = "README.md"
 authors = [

requirements-dev.in

@@ -4,3 +4,4 @@
 
 # additional requirements can be listed here
 hexkit[test-mongodb]
+pytest-asyncio < 0.23.0

src/metldata/artifacts_rest/artifact_info.py

@@ -183,7 +183,8 @@ def load_artifact_info(
 
 
 def get_artifact_info_dict(
-    *, artifact_infos: list[ArtifactInfo]
+    *,
+    artifact_infos: list[ArtifactInfo],
 ) -> dict[str, ArtifactInfo]:
     """Build a dictionary from artifact name to artifact info."""
     # check if artifact names are unique:

src/metldata/model_utils/anchors.py

@@ -195,7 +195,7 @@ def lookup_anchor_point(
 
 
 def invert_anchor_points_by_target(
-    anchor_points_by_target: dict[str, AnchorPoint]
+    anchor_points_by_target: dict[str, AnchorPoint],
 ) -> dict[str, str]:
     """Convert the anchor points by target dict into an class by anchor point dict."""
     return {

tests/fixtures/transformations.py

@@ -117,7 +117,8 @@ def _read_all_test_cases_for_a_transformation(
 
 
 def _read_all_test_cases(
-    *, transformations_by_name: dict[str, TransformationDefinition]
+    *,
+    transformations_by_name: dict[str, TransformationDefinition],
 ) -> list[TransformationTestCase]:
     """Read all test cases for the specified transformations."""
 

tests/fixtures/workflows.py

@@ -139,7 +139,8 @@ def _read_all_test_cases_for_a_workflow(
 
 
 def _read_all_test_cases(
-    *, workflows_by_name: dict[str, WorkflowDefinition]
+    *,
+    workflows_by_name: dict[str, WorkflowDefinition],
 ) -> list[WorkflowTestCase]:
     """Read all test cases for the specified workflows."""