feat: Add orchestration models and services for Kubernetes cluster management

- Implemented Pydantic models for Kubernetes cluster state representation in `cluster.py`.
- Created a `Resource` class for converting JSON/dict to Python objects in `resource.py`.
- Established user models and services for user management, including password hashing and JWT token generation.
- Developed application orchestration services for managing Kubernetes applications, including installation and uninstallation.
- Added cluster service for retrieving cluster status and health reports.
- Introduced node service for fetching node resource details and health status.
- Implemented user service for handling user authentication and management.

config.yaml.template

@@ -0,0 +1,28 @@
+orchestration:
+  kube:
+    kubectl_file: "~/.ocdp/kube/config"
+    applications_dir: "~/.ocdp/kube/applications"
+    logs_dir: "~/.ocdp/kube/logs"
+
+logger:
+  loki:
+    url: "https://loki.bwgdi.com/loki/api/v1/push"
+    labels: "application=myapp,environment=develop"
+    label_keys: ""
+
+database:
+  mysql:
+    host: "localhost"
+    port: 3306
+    db_name: "ocdp"
+    username: "root"
+    # ❗️ Password should be read from environment variables, not provided here
+
+password:
+  hash:
+    algorithm: "ARGON2"
+
+token:
+  jwt:
+    signing_algorithm: "HS256"
+    # ❗️ Secret should be read from environment variables, not provided here