Resize images example

docker-compose.yaml

@@ -31,6 +31,7 @@ services:
       - 5000:5000
   web:
     image: runabol/tork-web
+    platform: linux/amd64
     restart: always
     ports:
       - 8100:3000

examples/resize_image.yaml

@@ -0,0 +1,65 @@
+name: job output example
+description: |  
+  This job takes an input source image and resizes it to multiple outputs.
+
+  This demo assumes a locally running instace of Minio (AWS S3-like service) which will be used to 
+  store the outputs at.
+
+  You can get a running instance of minio using the following command: 
+
+  docker run --name=minio -d -p 9000:9000 -p 9001:9001 minio/minio server /data --console-address ":9001"
+
+  You'll like have to change the endpointURL below to the IP address of your minio server
+
+  The default credentials for a Minio Server are minioadmin/minioadmin
+inputs:
+  accessKeyID: minioadmin
+  endpointURL: http://my-minio-server:9000
+  secretKeyID: minioadmin
+  source: https://upload.wikimedia.org/wikipedia/commons/c/ca/Bbb-splash.png
+  target: s3://my-bucket/my/folder
+tasks:
+  - name: get the file extension of the source
+    var: fileExt
+    image: alpine:3.18.3
+    env:
+      SOURCE: "{{ inputs.source }}"
+    run: |
+      FILENAME=$(basename -- "$SOURCE")
+      EXT="${FILENAME##*.}"
+      echo $EXT > $TORK_OUTPUT
+
+  - name: Convert the image to various resolutions
+    each:
+      list: "{{ ['1920x1080','1366x768','1280x720','768x1024','100x100','200x200'] }}"
+      task: 
+        name: "Scale the image to {{ item.value }}"
+        volumes:
+          - /tmp
+        image: dpokidov/imagemagick
+        env:
+          EXT: "{{ tasks.fileExt }}"
+          SIZE: "{{ item.value }}"
+        run: |
+          mkdir /tmp/targets
+          convert "/tmp/source.$EXT" -resize $SIZE "/tmp/targets/$SIZE.jpg"
+        pre:   
+          - name: download the remote file
+            image: alpine:3.18.3
+            env:
+              SOURCE: "{{ inputs.source }}"
+              EXT: "{{ tasks.fileExt }}"
+            run: |
+              wget $SOURCE -O "/tmp/source.$EXT"
+        post:
+          - name: upload the converted image to minio
+            run: aws --endpoint-url $ENDPOINT_URL s3 cp /tmp/targets/$SIZE.jpg $TARGET/$SIZE.jpg
+            image: amazon/aws-cli:2.13.10
+            env:
+              AWS_ACCESS_KEY_ID: "{{inputs.accessKeyID}}"
+              AWS_SECRET_ACCESS_KEY: "{{inputs.secretKeyID}}"
+              TARGET: "{{inputs.target}}"
+              ENDPOINT_URL: "{{inputs.endpointURL}}"
+              SIZE: "{{ item.value }}"
+
+

examples/split_and_stitch.yaml

@@ -1,4 +1,18 @@
 name: split and stitch demo
+description: |  
+  this job splits an input video into 10s chunks, transcodes the various chunks in parallel, 
+  and finally stitches the final result into a single file.
+
+  This demo assumes a locally running instace of Minio (AWS S3-like service) which will be used to store the 
+  video chunks and the final video output
+
+  You can get a running instance of minio using the following command: 
+
+  docker run --name=minio -d -p 9000:9000 -p 9001:9001 minio/minio server /data --console-address ":9001"
+
+  You'll like have to change the endpointURL below to the IP address of your minio server
+
+  The default credentials for a Minio Server are minioadmin/minioadmin
 inputs:
   accessKeyID: minioadmin
   endpointURL: http://my-minio-server:9000