custom recipe: add --info to test to the greyscale version

see #74471

Author: martinrode

fas_config/cookbook_grayscale.yml

@@ -34,10 +34,14 @@ recipes:
           - prog: python3
             args:
               - "%_exec.pluginDir%/server/recipe/grayscale.py"
+              - "--info"
+              - "%info.json%"
+              - "--in"
               - type: file_in
                 file:
                   url: "%_source.url%"
                   name: "%_source.generatedname%"
+              - "--out"
               - type: file_out
                 file:
                   url: "%_target.url%"

fas_config/custom_produce.yml

@@ -23,7 +23,7 @@ classes:
           - jpg
           - png
         rightsmanagement: true
-        recipename: fylr_example:example_image:grayIM
+        recipename: fylr_example:example_image:grayPy
         zoomable: true
         custommetadata:
           - recipename: fylr_example:example_metadata:example

server/recipe/grayscale.py

@@ -1,6 +1,60 @@
-import numpy as np
+import argparse
+import json
 import cv2
-import sys
 
-img = cv2.imread(sys.argv[1], 0)
-cv2.imwrite(sys.argv[2], img)
+def main():
+    # Create argument parser
+    parser = argparse.ArgumentParser(description='Process an image and optionally write info JSON.')
+    parser.add_argument('--in',  dest='input_file',  required=True, help='Input image file path')
+    parser.add_argument('--out', dest='output_file', required=True, help='Output image file path')
+    parser.add_argument('--info', dest='info', help='JSON string with additional information')
+
+    # Parse arguments
+    args = parser.parse_args()
+
+    # Read the image in grayscale
+    img = cv2.imread(args.input_file, cv2.IMREAD_GRAYSCALE)
+    if img is None:
+        raise ValueError(f"Cannot read image from {args.input_file}")
+
+    data = None
+    if args.info:
+        try:
+            data = json.loads(args.info)
+        except json.JSONDecodeError:
+            raise ValueError("The provided --info argument is not valid JSON.")
+
+        # If external_url exists, render it on the bottom of the image
+        external_url = data.get('external_url')
+        if external_url:
+            # Determine font properties
+            font = cv2.FONT_HERSHEY_SIMPLEX
+            font_scale = 1.0
+            font_thickness = 2
+            text_color = (128, 128, 128)  # grey in BGR
+            bg_color = (0, 0, 0)          # black
+            text = external_url
+
+            # Get text size
+            (text_width, text_height), _ = cv2.getTextSize(text, font, font_scale, font_thickness)
+
+            # Calculate positions
+            img_height, img_width = img.shape
+            x = (img_width - text_width) // 2  # center horizontally
+            y = img_height - 10                 # some padding from the bottom
+
+            # Determine where to draw background rectangle
+            # We'll place a black rectangle that comfortably fits the text
+            rect_top_left = (0, img_height - text_height - 20)
+            rect_bottom_right = (img_width, img_height)
+            cv2.rectangle(img, rect_top_left, rect_bottom_right, bg_color, -1)
+
+            # Now put the text on top of the rectangle
+            cv2.putText(img, text, (x, y), font, font_scale, text_color, font_thickness, cv2.LINE_AA)
+
+    # Write the processed image
+    if not cv2.imwrite(args.output_file, img):
+        raise ValueError(f"Cannot write image to {args.output_file}")
+
+if __name__ == '__main__':
+    main()