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apiVersion: apps/v1
kind: Deployment
metadata:
  name: vote
  labels:
    role: vote
  annotations:
    kubernetes.io/change-cause: "image updated to v5"
spec:
  minReadySeconds: 20

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# .github/workflows/mlops-pipeline.yml
name: MLOps Pipeline

on:
  push:
    branches: [ main ]
    tags: [ 'v*.*.*' ]
  pull_request:
    branches: [ main ]
    

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apiVersion: apps/v1
kind: Deployment
metadata:
  creationTimestamp: null
  labels:
    app: vote
  name: vote
spec:
  replicas: 2
  selector:

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name: Streamlit CI

on:
  push:
    paths:
      - 'streamlit_app/**'
  workflow_dispatch:

jobs:
  build-and-push:

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model:
  best_model: GradientBoosting
  feature_sets:
    rfe:
    - '0'
    - '1'
    - '2'
    - '3'
    - '4'
    - '5'

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# Use python alpine base image
FROM python:3.11-alpine3.17

# Set working directory
WORKDIR /app

# Copy source code to container
COPY . /app

# Install dependencies

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networks:
  custom:
    driver: bridge

services:
  app:
    image: initcron/petclinic:dev
    build:
      context: .
      dockerfile: Dockerfile.multistage.v1

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name: Trivy Vulnerability Scan

on:
  push:
    branches: [ main, master ]
  pull_request:
  workflow_dispatch:

jobs:
  trivy:

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FROM schoolofdevops/maven:spring

WORKDIR /app

COPY .  .

RUN mvn spring-javaformat:apply && \
    mvn package -DskipTests && \
    mv target/spring-petclinic-2.3.1.BUILD-SNAPSHOT.jar /run/petclinic.jar

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services:
  fastapi:
    image: docker.io/xxxxxx/fastapi:dev. 
    build:
      context: "./"
      dockerfile: "Dockerfile"
    ports:
      - "8000:8000"

  streamlit: