done for the left section

tests/config.py

@@ -36,6 +36,8 @@ class Config:
     TINDIE_API_KEY = get("TINDIE_API_KEY")
     TINDIE_USERNAME = get("TINDIE_USERNAME")
 
+    OUTPUT_DIR = f"{basedir}/../image_folder"
+
 
 
 

tests/settings.json

@@ -18,7 +18,7 @@
         },
         {
             "position": 2,
-            "name": "Calendar",
+            "name": "Today",
             "config": {
                 "size": [
                     528,

tests/test_inkycal_today.py

@@ -0,0 +1,83 @@
+"""
+inkycal_today unittest
+"""
+import logging
+import unittest
+
+from inkycal.modules import Today
+from inkycal.modules.inky_image import Inkyimage, image_to_palette
+from tests import Config
+
+merge = Inkyimage.merge
+
+sample_url = Config.SAMPLE_ICAL_URL
+
+logger = logging.getLogger(__name__)
+logging.basicConfig(level=logging.DEBUG)
+
+#  /workspaces/Inkycal/venv/bin/python3 -m pytest tests/test_inkycal_today.py::TestToday::test_generate_image -v -s
+tests = [
+    {
+        "name": "Today",
+        "config": {
+            "size": [528, 343],
+            "week_starts_on": "Monday",
+            "show_events": True,
+            "ical_urls": sample_url,
+            "ical_files": None,
+            "date_format": "D MMM", "time_format": "HH:mm",
+            "padding_x": 10, "padding_y": 10, "fontsize": 12, "language": "en"
+        }
+    },
+]
+
+
+class TestToday(unittest.TestCase):
+
+    def test_generate_image(self):
+        output_dir = Config.OUTPUT_DIR
+        import os
+        from PIL import Image, ImageDraw
+        import numpy as np
+        
+        os.makedirs(output_dir, exist_ok=True)
+        test_num = 0
+        for test in tests:
+            print(f'test {tests.index(test) + 1} generating image..', end="")
+            module = Today(test)
+            im_black, im_colour = module.generate_image()
+            print('OK')
+            
+            # 创建最终的三色图像
+            # 在 E-Paper 上: im_black 的黑色像素显示黑色, im_colour 的黑色像素显示红色
+            result = Image.new('RGB', im_black.size, 'white')
+            result_array = np.array(result)
+            black_array = np.array(im_black)
+            colour_array = np.array(im_colour)
+            
+            # 使用阈值处理抗锯齿：灰度值 < 128 的视为"黑色"
+            # im_black 上的深色区域 -> 黑色 (0, 0, 0)
+            black_gray = black_array[:,:,0]  # 取灰度值（RGB相同）
+            black_mask = black_gray < 128
+            result_array[black_mask] = [0, 0, 0]
+            
+            # im_colour 上的深色区域 -> 红色 (255, 0, 0)
+            colour_gray = colour_array[:,:,0]
+            colour_mask = colour_gray < 128
+            result_array[colour_mask] = [255, 0, 0]
+            
+            # 保存最终图像
+            final_image = Image.fromarray(result_array)
+            output_path = os.path.join(output_dir, f"today_test_{test_num}.png")
+            final_image.save(output_path)
+            print(f' -> Saved to {output_path}')
+            
+            # 统计颜色
+            red_count = np.sum(colour_mask)
+            black_count = np.sum(black_mask)
+            print(f'    🔴 Red pixels: {red_count}, ⚫ Black pixels: {black_count}')
+            
+            test_num += 1
+            
+            if Config.USE_PREVIEW:
+                final_image.show()