commression functions for activity log

app.py

@@ -5,7 +5,7 @@ import anvil.server
 import pathlib
 import textwrap
 import import_ipynb
-from library import call_gpt, call_gemini
+from library import call_gpt, call_gemini, compress_bool_list, uncompress_bool_list
 from background_service import BackgroundTaskService
 import numpy as np
 
@@ -33,6 +33,8 @@ encoder = AutoModel.from_pretrained('allenai/specter')
 
 anvil.server.callable(call_gpt)
 anvil.server.callable(call_gemini)
+anvil.server.callable(compress_bool_list)
+anvil.server.callable(uncompress_bool_list)
 
 service=BackgroundTaskService(max_tasks=10)
 service.register(call_gpt)

library.ipynb

@@ -11,8 +11,21 @@
     "import pathlib\n",
     "import textwrap\n",
     "import google.generativeai as genai #comment this for local deployment and uncomment dummy def below\n",
-    "# class genai:\n",
-    "#     pass"
+    "import numpy as np"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def compress_bool_list(bools):\n",
+    "    compressed_bits = np.packbits(bools,bitorder='big')\n",
+    "    return [compressed_bits,len(bools)]\n",
+    "\n",
+    "def uncompress_bool_list(log):\n",
+    "    return [bool(b) for b in np.unpackbits(log[0],bitorder='big')[:log[1]]]"
    ]
   },
   {