Standalone sidecar charm (#104)

* KF-737
- Deploy MLflow as a sidecar charm (without any relation).
- Expose MLflow as NodePort on port speciffied in config.
- Expose MLflow as ClusterIp if not NodePort

.gitignore

@@ -133,3 +133,4 @@ dmypy.json
 id_rsa
 kubeconfig
 *.charm
+.kube/

CONTRIBUTING.md

@@ -0,0 +1,80 @@
+# Contributing
+
+## Overview
+
+This document explains the processes and practices recommended for contributing enhancements to
+this operator.
+
+- Generally, before developing enhancements to this charm, you should consider [opening an issue
+  ](https://github.com/canonical/training-operator/issues) explaining your use case.
+- If you would like to chat with us about your use-cases or proposed implementation, you can reach
+  us at [Canonical Mattermost public channel](https://chat.charmhub.io/charmhub/channels/charm-dev)
+  or [Discourse](https://discourse.charmhub.io/).
+- Familiarising yourself with the [Charmed Operator Framework](https://juju.is/docs/sdk) library
+  will help you a lot when working on new features or bug fixes.
+- All enhancements require review before being merged. Code review typically examines
+  - code quality
+  - test coverage
+  - user experience for Juju administrators of this charm.
+- Please help us out in ensuring easy to review branches by rebasing your pull request branch onto
+  the `main` branch. This also avoids merge commits and creates a linear Git commit history.
+
+## Developing
+
+You can use the environments created by `tox` for development:
+
+```shell
+tox --notest -e unit
+source .tox/unit/bin/activate
+```
+
+### Testing
+
+```shell
+tox -e lint          # code style
+tox -e unit          # unit tests
+tox -e integration   # integration tests
+tox                  # runs 'lint' and 'unit' environments
+```
+
+## Build charm
+
+Build the charm in this git repository using:
+
+```shell
+charmcraft pack
+```
+
+### Deploy
+
+```bash
+# Create a model
+juju add-model dev
+# Enable DEBUG logging
+juju model-config logging-config="<root>=INFO;unit=DEBUG"
+# Deploy the charm
+juju deploy ./training-operator_ubuntu-20.04-amd64.charm \
+    --resource training-operator-image=$(yq '.resources."training-operator-image"."upstream-source"' metadata.yaml)
+```
+
+## Updating the charm for new versions of the workload
+
+To upgrade the source and resources Charmed Training Operator, you must:
+
+1) Bump the `training-operator-image` in `metadata.yaml`
+2) Update the charm source for any changes, such as:
+
+* YAML manifests in src/ and/or any Kubernetes resource in pod_spec
+* New or changed configurations passed to pebble workloads or through pod.set_spec
+
+3) Ensure integration and unit tests are passing; fix/adapt them otherwise
+
+The following table collects a series of links and information that can help in the upgrade process.
+
+| Image registry 	| Image tag format	| Manifest location 	| Next version 	|
+|---	|---	|---	|---	|
+| [kubeflow/training-operator](https://hub.docker.com/r/kubeflow/training-operator/) 	| `v1-<commit sha>`<br>The commit sha comes from the HEAD of the release tag 	| [kubeflow/manifests](https://github.com/kubeflow/manifests/tree/master/apps/training-operator/upstream) 	| Check for latest version released or pre-released in <br>the repo [releases](https://github.com/kubeflow/training-operator/releases), it should match the release plan usually stated in issues like <br>[Training Operator WG and Kubeflow 1.6](https://github.com/kubeflow/manifests/issues/2196) release and [KF Release 1.6 Tracking](https://github.com/kubeflow/manifests/issues/2194) 	|
+
+## Canonical Contributor Agreement
+
+Canonical welcomes contributions to the Charmed Training Operator. Please check out our [contributor agreement](https://ubuntu.com/legal/contributors) if you're interested in contributing to the solution.

README.md

@@ -128,4 +128,4 @@ for file in files:
 To download a specific file:
 ```python
 minio.download_file(default_bucket_name,'<minio file path>', '<notebook server file path>')
-```
+```

charmcraft.yaml

@@ -1,14 +1,14 @@
-# Copyright 2023 Canonical
+# Copyright 2021 Canonical Ltd.
 # See LICENSE file for licensing details.
-type: 'charm'
+
+type: "charm"
 bases:
   - build-on:
-      - name: 'ubuntu'
-        channel: '20.04'
+    - name: "ubuntu"
+      channel: "20.04"
     run-on:
-      - name: 'ubuntu'
-        channel: '20.04'
+    - name: "ubuntu"
+      channel: "20.04"
 parts:
   charm:
-    # do not use these versions due to pypa/setuptools_scm#713
-    charm-python-packages: [setuptools!=62.2.0, pip!=22.1]
+    charm-python-packages: [setuptools, pip]

config.yaml

@@ -1,4 +1,4 @@
-# Copyright 2020 Luke Marsden
+# Copyright 2021 Canonical Ltd.
 # See LICENSE file for licensing details.
 #
 options:
@@ -23,45 +23,7 @@ options:
       The nodeport for MLFlow
     type: int
     default: 31380
-  mlflow_scrape_interval:
-    description: |
-      How frequently to scrape targets from MLFlow.
-    type: string
-    default: None
-  mlflow_scrape_timeout:
-    description: |
-      Per-scrape timeout when scraping MLFlow.
-    type: string
-    default: None
-  minio_port:
-    description: |
-      The port Minio will be listening on
-    type: int
-    default: 9000
-  minio_nodeport:
-    description: |
-      The nodeport for Minio
-    type: int
-    default: 30650
-  kubeflow_port:
-    description: |
-      The port istio-ingressgateway will be listening on
-    type: int
-    default: 80
-  kubeflow_nodeport:
-    description: |
-      The nodeport for Kubeflow (istio-ingressgateway)
-    type: int
-    default: 30600
   enable_mlflow_nodeport:
     description: Deploy the NodePort service for MLFlow
     type: boolean
     default: true
-  enable_kubeflow_nodeport:
-    description: Deploy the NodePort service for Kubeflow
-    type: boolean
-    default: true
-  enable_kubeflow_loadbalancer:
-    description: Deploy the LoadBalancer service for Kubeflow
-    type: boolean
-    default: true