add a model docs (#17)

Signed-off-by: Brian Duenas <brian.duenas@ibm.com>

Author: brian316

README.md

@@ -3,6 +3,7 @@
 Finetune Controller is a robust and flexible system designed to manage and streamline the fine-tuning of machine learning models on Kubernetes, particularly within OpenShift clusters. This project leverages modern tools and workflows, enabling efficient development and deployment processes for AI-driven applications.
 
 ### Features
+
 - Local Development: Get started quickly with a streamlined setup process using uv, a high-performance Python package and project manager.
 - OpenShift Integration: Simplify deployment and scaling with OpenShift-specific configurations and GPU support for intensive workloads.
 - MongoDB Backend: Seamlessly connect to a local or cluster-based MongoDB database.
@@ -11,12 +12,15 @@ Finetune Controller is a robust and flexible system designed to manage and strea
 ## Getting Started
 
 If the cluster is already set up continue else follow the cluster setup instructions [here](#setup-openshift-cluster)
+
 ### Prereqs
-1. Recommend using [uv](https://github.com/astral-sh/uv), *an extremely fast Python package and project manager*
 
-    ```shell
-    pip install uv
-    ```
+1. Recommend using [uv](https://github.com/astral-sh/uv), _an extremely fast Python package and project manager_
+
+   ```shell
+   pip install uv
+   ```
+
 2. A container engine such as Docker or Podman
 
 <!-- ## Quick Setup using Compose
@@ -41,51 +45,59 @@ To stop the application:
 docker compose down
 ``` -->
 
-
 ### Install
+
 1. Create virtual environment and install dependencies
-    ```shell
-    uv sync
-    ```
 
-2. Start a local developement mongo database *(or connect to one on cluster with port-forward)*
+   ```shell
+   uv sync
+   ```
 
-    Local
-    ```shell
-    docker run -d --rm --name mongodb \
-        -e MONGODB_INITDB_ROOT_USERNAME="default-user" \
-        -e MONGODB_INITDB_ROOT_PASSWORD="admin123456789" \
-        -e MONGODB_INITDB_DATABASE="finetune" \
-        -p 27017:27017 \
-        mongodb/mongodb-community-server:latest
-    ```
+2. Start a local developement mongo database _(or connect to one on cluster with port-forward)_
 
-    you can port-forward this connection to your local machine
-    ```shell
-    oc port-forward service/mongodb-community-server 27017:27017 -n <namespace>
-    ```
+   Local
+
+   ```shell
+   docker run -d --rm --name mongodb \
+       -e MONGODB_INITDB_ROOT_USERNAME="default-user" \
+       -e MONGODB_INITDB_ROOT_PASSWORD="admin123456789" \
+       -e MONGODB_INITDB_DATABASE="finetune" \
+       -p 27017:27017 \
+       mongodb/mongodb-community-server:latest
+   ```
+
+   you can port-forward this connection to your local machine
+
+   ```shell
+   oc port-forward service/mongodb-community-server 27017:27017 -n <namespace>
+   ```
 
 3. Connect to the Openshift cluster with the cli login command `oc login`. If cluster not already set up follow [these](#setup-openshift-cluster) steps
 
 4. Create a project level `.env` file (see `.env.example`) and update the variables.
-    ```shell
-    cp .env.example .env
-    ```
+
+   ```shell
+   cp .env.example .env
+   ```
 
 5. Make sure the virtual environment is activated and start the local finetuning controller application.
-    ```shell
-    source .venv/bin/activate
 
-    uvicorn app.main:app --reload
-    ```
+   ```shell
+   source .venv/bin/activate
+
+   uvicorn app.main:app --reload
+   ```
 
 This will:
+
 - Start MongoDB with the required configuration
 - Build and start the FastAPI server
 - Make the application available at http://localhost:8000
 
 ### Development and Contributing
+
 Setup [pre-commit](https://pre-commit.com/#install) to keep linting and code styling up to standard.
+
 ```shell
 uv sync
 pre-commit install
@@ -94,57 +106,69 @@ pre-commit install
 ## Setup OpenShift Cluster Resources
 
 ### Create default project
+
 Name can be descriptive for these examples we will use `finetune-controller`
+
 ```shell
 oc new-project finetune-controller
 ```
 
 ### Create Kubeflow project
+
 ```shell
 oc new-project kubeflow
 ```
 
 ### Install Kubeflow training operator
+
 <!-- ```shell
 kubectl apply -k "github.com/kubeflow/training-operator/manifests/overlays/standalone"
 ``` -->
+
 ```shell
 kubectl apply --server-side -k "github.com/kubeflow/training-operator.git/manifests/overlays/standalone?ref=v1.8.1"
 ```
 
 ### Install Kueue
+
 > Requires Kubernetes 1.29 or newer
 
 Follow the latest [docs](https://kueue.sigs.k8s.io/docs/installation/)
 
 Install a released version
+
 ```shell
 kubectl apply --server-side -f https://github.com/kubernetes-sigs/kueue/releases/download/v0.10.1/manifests.yaml
 ```
 
 To wait for Kueue to be fully available, run:
+
 ```shell
 kubectl wait deploy/kueue-controller-manager -nkueue-system --for=condition=available --timeout=5m
 ```
 
 Restart pods
+
 ```shell
 kubectl delete pods -lcontrol-plane=controller-manager -nkueue-system
 ```
 
 First update the namepspace for the crd LocalQueue object in [default-user-queue.yaml](/crds/kueue/default-user-queue.yaml). default namepsace: "default"
+
 ```shell
 yq e '.metadata.namespace = "finetune-controller"' -i crds/kueue/default-user-queue.yaml
 ```
 
 Apply the default CRD config for Kueue or update by following their docs
+
 ```shell
 kubectl apply -f crds/kueue/
 ```
 
 ### Install mongodb server
 
-Example configuration. *do properly configure for production*
+Example configuration. _do properly configure for production_
+
 ```shell
 oc new-app -e MONGODB_INITDB_ROOT_USERNAME="default-user" -e MONGODB_INITDB_ROOT_PASSWORD="admin123456789" -e MONGODB_INITDB_DATABASE="finetune"  mongodb/mongodb-community-server:latest --namespace finetune-controller
 ```
@@ -165,16 +189,19 @@ oc set env deployment/ml-pipeline-ui DISABLE_GKE_METADATA=true
 ``` -->
 
 ### Add GPU nodes to ROSA cluster
+
 Go to your cluster on redhat console [admin dashboard](https://console.redhat.com/openshift/cluster-list). Add a machine pool of your choosing with the following configuration:
 
 Taints
+
 ```
 key: nvidia.com/gpu
 value: <machine pool type or other>
 effect: NoSchedule
 ```
 
 Node Labels
+
 ```
 Key: cluster-api/accelerator
 Value: <gpu type e.g. V100 or empty>
@@ -183,6 +210,7 @@ Value: <gpu type e.g. V100 or empty>
 ### Setup AWS Secret
 
 Example aws config
+
 ```yaml
 # aws_credentials.yaml
 apiVersion: v1
@@ -198,13 +226,15 @@ type: Opaque
 ```
 
 Example for base 64 command in terminal
+
 ```bash
 echo -n "VALUE" | base64
 ```
 
 ### Setup Pull secrets
 
 Example docker pull secret config
+
 ```yaml
 # pull_secret.yaml
 apiVersion: v1
@@ -214,46 +244,57 @@ kind: Secret
 metadata:
   name: cr-pull-secret
 type: kubernetes.io/dockerconfigjson
-
 ```
 
 Apply these secrets
+
 ```shell
 oc apply -f aws-credentials.yaml -n finetune-controller
 ```
 
 ## Install Finetune Controller On OpenShift
 
 1. Create a `.env.production` file and update the defaults. For this example set `MONGODB_URL=mongodb://mongodb-community-server.finetune-controller.svc.cluster.local:27017`
-    ```shell
-    cp .env.example .env.production
-    ```
+
+   ```shell
+   cp .env.example .env.production
+   ```
 
 2. create the application
-    ```shell
-    oc new-app --strategy=docker --binary --name finetune-controller --env-file=".env.production" --namespace finetune-controller
-    ```
+
+   ```shell
+   oc new-app --strategy=docker --binary --name finetune-controller --env-file=".env.production" --namespace finetune-controller
+   ```
 
 3. expose services and patch tls config
-    ```shell
-    oc expose deployment/finetune-controller --port=8000
-    oc expose svc/finetune-controller --port=8000
-    oc patch route finetune-controller --type=merge -p '{"spec":{"tls":{"termination":"edge"}}}'
-    ```
+
+   ```shell
+   oc expose deployment/finetune-controller --port=8000
+   oc expose svc/finetune-controller --port=8000
+   oc patch route finetune-controller --type=merge -p '{"spec":{"tls":{"termination":"edge"}}}'
+   ```
 
 4. add cluster role binding permissions to the application
 
 5. start a build
-    ```shell
-    oc start-build finetune-controller --from-dir=. --namespace=finetune-controller
-    ```
+   ```shell
+   oc start-build finetune-controller --from-dir=. --namespace=finetune-controller
+   ```
 
 ## Manually Publish Updates To Finetune Controller
+
 Publish From current project
+
 ```shell
 ./scripts/publish.sh
 ```
+
 Publish From git ~HEAD
+
 ```shell
 ./scripts/publish_git.sh
 ```
+
+# Adding Finetuning Models
+
+look at [setting up a finetune model](/docs/setup_models.md)