Merge pull request #5 from MLOPsStudyGroup/scripts_master

Scripts master

.github/workflows/deploy_on_release.yaml

@@ -0,0 +1,36 @@
+name: model-deploy-on-release
+on:
+  release:
+    types: 
+      - 'published'
+
+jobs:
+  run:
+    runs-on: [ubuntu-latest]
+    container: docker://dvcorg/cml-py3:latest
+    steps:
+      - uses: actions/checkout@v2
+      - name: 'Deploy/Update on new release'
+        shell: bash
+
+        env:
+          repo_token: ${{ secrets.GITHUB_TOKEN }}
+          AWS_ACCESS_KEY_ID: ${{ secrets.AWS_ACCESS_KEY_ID }}
+          AWS_SECRET_ACCESS_KEY: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
+          CRED_SECRET: ${{ secrets.IBM_CREDENTIALS_PASS }}
+
+        run: |
+          # Install requirements
+          pip install -r requirements.txt
+
+          # Pull data & run-cache from S3 and reproduce pipeline
+          dvc pull --run-cache
+          dvc repro
+
+          # Decrypt credentials file
+          gpg --quiet --batch --yes --decrypt --passphrase="$CRED_SECRET" --output credentials.yaml credentials.yaml.gpg
+
+          # Check if there is a deployment already, if positive update it, otherwise deploys it for the first time
+          ./src/scripts/Scripts/git_release_pipeline.sh 
+
+            

metadata.yaml

@@ -1,7 +1,7 @@
 author: guipleite
 datetime_creted: 29/03/2021_13:46:23:802394723
-deployment_uid: 59562979-4bb8-4cc4-85f0-fb7a280b8b3c
+deployment_uid: 9e70e6bf-49d9-418c-8c7a-cf7c876e9fc9
 model_type: scikit-learn_0.23
-model_uid: 3d5e76dc-a4a3-43a9-ab54-debbdbdc8673
+model_uid: 12439c9c-4999-463d-8c66-57e4927caf70
 project_name: Rain_aus
 project_version: v0.3

requirements.txt

@@ -4,3 +4,4 @@ seaborn
 matplotlib
 joblib
 numpy
+ibm_watson_machine_learning

src/scripts/Pipelines/git_release_pipeline.py

@@ -0,0 +1,24 @@
+import os
+import sys
+import yaml
+
+"""
+    Usage:
+        python3 model_deploy_pipeline.py ./pickle_model ../path/to/project/ ../credentials.yaml
+
+"""
+
+PROJ_PATH = os.path.abspath(sys.argv[1])
+META_PATH = PROJ_PATH + "/metadata.yaml"
+
+with open(META_PATH) as stream:
+    try:
+        metadata = yaml.safe_load(stream)
+    except yaml.YAMLError as exc:
+        print(exc)
+
+if "deployment_uid" in metadata.keys():
+    sys.exit(1)
+
+else:
+    sys.exit(0)

src/scripts/Scripts/git_release_pipeline.sh

@@ -0,0 +1,10 @@
+#!/bin/sh
+
+if  python3 ./src/scripts/Pipelines/git_release_pipeline.py ./
+then 
+    echo "      Model already has been deployed, updating it"
+    python3 ./src/scripts/Pipelines/model_update_pipeline.py ./models/model.joblib ./ ./credentials.yaml
+else    
+    echo "      Deploying model for the first time" 
+    python3 ./src/scripts/Pipelines/model_deploy_pipeline.py ./models/model.joblib ./ ./credentials.yaml
+fi