Dashboard

format.sh

@@ -1,8 +1,8 @@
 #!/usr/bin/env bash
 set -eo pipefail
 
-RUFF_VERSION=$(ruff --version | head -n 1 | awk '{print $2}')
-MYPY_VERSION=$(mypy --version | awk '{print $2}')
+RUFF_VERSION=$(poetry run ruff --version | head -n 1 | awk '{print $2}')
+MYPY_VERSION=$(poetry run mypy --version | awk '{print $2}')
 
 echo "ruff ver $RUFF_VERSION"
 echo "mypy ver $MYPY_VERSION"

konduktor/dashboard/README.md

@@ -0,0 +1,21 @@
+### Prereqs: kubectl is configured with remote machine/cluster
+
+## 1. Apply kubernetes manifest
+Inside manifests directory (one with dashboard_deployment.yaml):
+```
+kubectl apply -f dashboard_deployment.yaml
+```
+Then, wait a minute or two for the pods to finish setup
+
+## 2. Port forward frontend in a terminal
+```
+kubectl port-forward svc/frontend 5173:5173 -n konduktor-dashboard
+```
+
+## 3. Port forward grafana in a terminal
+```
+kubectl port-forward svc/kube-prometheus-stack-grafana 3000:80 -n prometheus
+```
+
+## 4. Open dashboard at http://localhost:5173/
+

konduktor/dashboard/backend/Dockerfile

@@ -0,0 +1,27 @@
+# Dockerfile for the Backend
+FROM python:3.11-slim
+
+# Set the working directory
+WORKDIR /app
+
+# Install dependencies
+COPY requirements.txt ./
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Install kubectl
+RUN apt-get update && apt-get install -y curl && \
+    curl -LO "https://dl.k8s.io/release/$(curl -L -s https://dl.k8s.io/release/stable.txt)/bin/linux/amd64/kubectl" && \
+    chmod +x kubectl && mv kubectl /usr/local/bin/
+
+# Copy the rest of the application code
+COPY . .
+
+# Copy the startup script
+COPY startup.sh /app/startup.sh
+RUN chmod +x /app/startup.sh
+
+# Expose the port the app runs on
+EXPOSE 5001
+
+# Start the application via the startup script
+CMD ["/app/startup.sh"]

konduktor/dashboard/backend/config.py

@@ -0,0 +1,5 @@
+from flask import Flask
+from flask_cors import CORS
+
+app = Flask(__name__)
+CORS(app)