feat: enhance configuration and scheduling for cleanup processes

- Updated `.env.example` to include new environment variables for MinIO and PyPI configuration.
- Refactored `create_cleanup_schedule` to utilize runtime-specific task queues and improve schedule reconciliation logic.
- Enhanced `Activities` class to require a default bucket in MinIO configuration.
- Adjusted `requirements.txt` to specify version for `evidently`.
- Updated tests to reflect changes in schedule creation and configuration handling.

.env.example

@@ -17,9 +17,19 @@ PROJECT_NAME=sientia-model-manager
 
 TEMPORAL_HOST=temporal-frontend.temporal.svc.cluster.local:7233
 TEMPORAL_NAMESPACE=model-manager
-TRAIN_TASK_QUEUE=train_model-queue
-CLEANUP_TASK_QUEUE=cleanup-queue
 TEMPORAL_USE_TLS=false
+RUNTIME=basic
+
+STORE_BASE_URL=http://gitea-http.gitea.svc.cluster.local
+STORE_OWNER=aignosi
+STORE_REPO=suse-model-store
+STORE_BRANCH=main
+STORE_USERNAME=
+STORE_PASSWORD=
+STORE_CACHE_TTL_SECONDS=3600
+PYPI_SERVER=http://library-distribution-server.library.svc.cluster.local:5000
+PYPI_USERNAME=
+PYPI_PASSWORD=
 
 MONGODB_USERNAME=mongo_user
 MONGODB_PASSWORD=mongo_db_password
@@ -36,6 +46,7 @@ MINIO_MAX_RETRY_ATTEMPTS=3
 MINIO_RETRY_MODE=adaptive
 MINIO_CONNECT_TIMEOUT=10
 MINIO_READ_TIMEOUT=60
+MINIO_DEFAULT_BUCKET=model-training
 
 TIMEOUT_VALIDATE_PARAMS=30
 TIMEOUT_TRAIN_MODEL=2700