notebooks/Example3_Adding_Logic_And_Processing.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Notebook 3: Adding Logic and Processing\n",
    "This Example code will walk you through the creation of PyroManager Hooks.\n",
    "\n",
    "These hooks are also called 'callback functions' which are functions passed into functions to be evaluated at different stages of the image acquisition loop.\n",
    "The stages are as follows:\n",
    "\n",
    "(1) Pre-Hardware Hook \n",
    "\n",
    "(2) Post Hardware Hook\n",
    "\n",
    "(3) Pre Camera Hook\n",
    "\n",
    "(4) Post Camera Hook\n",
    "\n",
    "(5) Image Processing Hook\n",
    "\n",
    "If a callback is used, the acqusition will cycle over (1~4) repeating for each image acquired. The image hook lives on its own thread.\n",
    "\n",
    "Each hook function requires the creation of a function with a very particular inputs, unique to each type of callback\n",
    "\n",
    "A HookSet is a wad of all the hook functions treated as a single object. Each hook is a variable of the HookSet."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Hello World Example:\n",
    "Below is an example of the creation of a Pre hardware hook that prints hello world after actuating the hardware"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import sys,os\n",
    "sys.path.append('source')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Example 3.1: The Hello World Hook Function\n",
    "todo "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/docstring_inheritance/docstring_inheritors/bases/inheritor.py:329: DocstringInheritanceWarning: File /Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/pycromanager/acquisitions.py:698: in XYTiledAcquisition.__init__: section Parameters: the docstring for the argument 'tile_overlap' is missing.\n",
      "  self._warn(\n",
      "/Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/docstring_inheritance/docstring_inheritors/bases/inheritor.py:329: DocstringInheritanceWarning: File /Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/pycromanager/acquisitions.py:698: in XYTiledAcquisition.__init__: section Parameters: the docstring for the argument 'directory' is missing.\n",
      "  self._warn(\n",
      "/Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/docstring_inheritance/docstring_inheritors/bases/inheritor.py:329: DocstringInheritanceWarning: File /Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/pycromanager/acquisitions.py:698: in XYTiledAcquisition.__init__: section Parameters: the docstring for the argument 'name' is missing.\n",
      "  self._warn(\n",
      "/Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/docstring_inheritance/docstring_inheritors/bases/inheritor.py:329: DocstringInheritanceWarning: File /Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/pycromanager/acquisitions.py:698: in XYTiledAcquisition.__init__: section Parameters: the docstring for the argument 'max_multi_res_index' is missing.\n",
      "  self._warn(\n",
      "/Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/docstring_inheritance/docstring_inheritors/bases/inheritor.py:329: DocstringInheritanceWarning: File /Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/pycromanager/acquisitions.py:698: in XYTiledAcquisition.__init__: section Parameters: the docstring for the argument 'image_process_fn' is missing.\n",
      "  self._warn(\n",
      "/Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/docstring_inheritance/docstring_inheritors/bases/inheritor.py:329: DocstringInheritanceWarning: File /Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/pycromanager/acquisitions.py:698: in XYTiledAcquisition.__init__: section Parameters: the docstring for the argument 'pre_hardware_hook_fn' is missing.\n",
      "  self._warn(\n",
      "/Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/docstring_inheritance/docstring_inheritors/bases/inheritor.py:329: DocstringInheritanceWarning: File /Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/pycromanager/acquisitions.py:698: in XYTiledAcquisition.__init__: section Parameters: the docstring for the argument 'post_hardware_hook_fn' is missing.\n",
      "  self._warn(\n",
      "/Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/docstring_inheritance/docstring_inheritors/bases/inheritor.py:329: DocstringInheritanceWarning: File /Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/pycromanager/acquisitions.py:698: in XYTiledAcquisition.__init__: section Parameters: the docstring for the argument 'post_camera_hook_fn' is missing.\n",
      "  self._warn(\n",
      "/Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/docstring_inheritance/docstring_inheritors/bases/inheritor.py:329: DocstringInheritanceWarning: File /Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/pycromanager/acquisitions.py:698: in XYTiledAcquisition.__init__: section Parameters: the docstring for the argument 'show_display' is missing.\n",
      "  self._warn(\n",
      "/Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/docstring_inheritance/docstring_inheritors/bases/inheritor.py:329: DocstringInheritanceWarning: File /Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/pycromanager/acquisitions.py:698: in XYTiledAcquisition.__init__: section Parameters: the docstring for the argument 'image_saved_fn' is missing.\n",
      "  self._warn(\n",
      "/Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/docstring_inheritance/docstring_inheritors/bases/inheritor.py:329: DocstringInheritanceWarning: File /Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/pycromanager/acquisitions.py:698: in XYTiledAcquisition.__init__: section Parameters: the docstring for the argument 'process' is missing.\n",
      "  self._warn(\n",
      "/Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/docstring_inheritance/docstring_inheritors/bases/inheritor.py:329: DocstringInheritanceWarning: File /Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/pycromanager/acquisitions.py:698: in XYTiledAcquisition.__init__: section Parameters: the docstring for the argument 'saving_queue_size' is missing.\n",
      "  self._warn(\n",
      "/Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/docstring_inheritance/docstring_inheritors/bases/inheritor.py:329: DocstringInheritanceWarning: File /Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/pycromanager/acquisitions.py:698: in XYTiledAcquisition.__init__: section Parameters: the docstring for the argument 'timeout' is missing.\n",
      "  self._warn(\n",
      "/Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/docstring_inheritance/docstring_inheritors/bases/inheritor.py:329: DocstringInheritanceWarning: File /Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/pycromanager/acquisitions.py:698: in XYTiledAcquisition.__init__: section Parameters: the docstring for the argument 'port' is missing.\n",
      "  self._warn(\n",
      "/Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/docstring_inheritance/docstring_inheritors/bases/inheritor.py:329: DocstringInheritanceWarning: File /Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/pycromanager/acquisitions.py:698: in XYTiledAcquisition.__init__: section Parameters: the docstring for the argument 'debug' is missing.\n",
      "  self._warn(\n",
      "/Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/docstring_inheritance/docstring_inheritors/bases/inheritor.py:329: DocstringInheritanceWarning: File /Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/pycromanager/acquisitions.py:698: in XYTiledAcquisition.__init__: section Parameters: the docstring for the argument 'core_log_debug' is missing.\n",
      "  self._warn(\n",
      "/Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/docstring_inheritance/docstring_inheritors/bases/inheritor.py:329: DocstringInheritanceWarning: File /Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/pycromanager/acquisitions.py:775: in ExploreAcquisition.__init__: section Parameters: the docstring for the argument 'directory' is missing.\n",
      "  self._warn(\n",
      "/Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/docstring_inheritance/docstring_inheritors/bases/inheritor.py:329: DocstringInheritanceWarning: File /Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/pycromanager/acquisitions.py:775: in ExploreAcquisition.__init__: section Parameters: the docstring for the argument 'name' is missing.\n",
      "  self._warn(\n",
      "/Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/docstring_inheritance/docstring_inheritors/bases/inheritor.py:329: DocstringInheritanceWarning: File /Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/pycromanager/acquisitions.py:775: in ExploreAcquisition.__init__: section Parameters: the docstring for the argument 'z_step_um' is missing.\n",
      "  self._warn(\n",
      "/Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/docstring_inheritance/docstring_inheritors/bases/inheritor.py:329: DocstringInheritanceWarning: File /Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/pycromanager/acquisitions.py:775: in ExploreAcquisition.__init__: section Parameters: the docstring for the argument 'tile_overlap' is missing.\n",
      "  self._warn(\n",
      "/Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/docstring_inheritance/docstring_inheritors/bases/inheritor.py:329: DocstringInheritanceWarning: File /Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/pycromanager/acquisitions.py:775: in ExploreAcquisition.__init__: section Parameters: the docstring for the argument 'channel_group' is missing.\n",
      "  self._warn(\n",
      "/Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/docstring_inheritance/docstring_inheritors/bases/inheritor.py:329: DocstringInheritanceWarning: File /Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/pycromanager/acquisitions.py:775: in ExploreAcquisition.__init__: section Parameters: the docstring for the argument 'image_process_fn' is missing.\n",
      "  self._warn(\n",
      "/Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/docstring_inheritance/docstring_inheritors/bases/inheritor.py:329: DocstringInheritanceWarning: File /Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/pycromanager/acquisitions.py:775: in ExploreAcquisition.__init__: section Parameters: the docstring for the argument 'pre_hardware_hook_fn' is missing.\n",
      "  self._warn(\n",
      "/Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/docstring_inheritance/docstring_inheritors/bases/inheritor.py:329: DocstringInheritanceWarning: File /Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/pycromanager/acquisitions.py:775: in ExploreAcquisition.__init__: section Parameters: the docstring for the argument 'post_hardware_hook_fn' is missing.\n",
      "  self._warn(\n",
      "/Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/docstring_inheritance/docstring_inheritors/bases/inheritor.py:329: DocstringInheritanceWarning: File /Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/pycromanager/acquisitions.py:775: in ExploreAcquisition.__init__: section Parameters: the docstring for the argument 'post_camera_hook_fn' is missing.\n",
      "  self._warn(\n",
      "/Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/docstring_inheritance/docstring_inheritors/bases/inheritor.py:329: DocstringInheritanceWarning: File /Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/pycromanager/acquisitions.py:775: in ExploreAcquisition.__init__: section Parameters: the docstring for the argument 'show_display' is missing.\n",
      "  self._warn(\n",
      "/Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/docstring_inheritance/docstring_inheritors/bases/inheritor.py:329: DocstringInheritanceWarning: File /Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/pycromanager/acquisitions.py:775: in ExploreAcquisition.__init__: section Parameters: the docstring for the argument 'image_saved_fn' is missing.\n",
      "  self._warn(\n",
      "/Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/docstring_inheritance/docstring_inheritors/bases/inheritor.py:329: DocstringInheritanceWarning: File /Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/pycromanager/acquisitions.py:775: in ExploreAcquisition.__init__: section Parameters: the docstring for the argument 'process' is missing.\n",
      "  self._warn(\n",
      "/Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/docstring_inheritance/docstring_inheritors/bases/inheritor.py:329: DocstringInheritanceWarning: File /Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/pycromanager/acquisitions.py:775: in ExploreAcquisition.__init__: section Parameters: the docstring for the argument 'saving_queue_size' is missing.\n",
      "  self._warn(\n",
      "/Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/docstring_inheritance/docstring_inheritors/bases/inheritor.py:329: DocstringInheritanceWarning: File /Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/pycromanager/acquisitions.py:775: in ExploreAcquisition.__init__: section Parameters: the docstring for the argument 'timeout' is missing.\n",
      "  self._warn(\n",
      "/Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/docstring_inheritance/docstring_inheritors/bases/inheritor.py:329: DocstringInheritanceWarning: File /Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/pycromanager/acquisitions.py:775: in ExploreAcquisition.__init__: section Parameters: the docstring for the argument 'port' is missing.\n",
      "  self._warn(\n",
      "/Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/docstring_inheritance/docstring_inheritors/bases/inheritor.py:329: DocstringInheritanceWarning: File /Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/pycromanager/acquisitions.py:775: in ExploreAcquisition.__init__: section Parameters: the docstring for the argument 'debug' is missing.\n",
      "  self._warn(\n",
      "/Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/docstring_inheritance/docstring_inheritors/bases/inheritor.py:329: DocstringInheritanceWarning: File /Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/pycromanager/acquisitions.py:775: in ExploreAcquisition.__init__: section Parameters: the docstring for the argument 'core_log_debug' is missing.\n",
      "  self._warn(\n",
      "/Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/docstring_inheritance/docstring_inheritors/bases/inheritor.py:329: DocstringInheritanceWarning: File /Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/pycromanager/acquisitions.py:845: in MagellanAcquisition.__init__: section Parameters: the docstring for the argument 'magellan_acq_index' is missing.\n",
      "  self._warn(\n",
      "/Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/docstring_inheritance/docstring_inheritors/bases/inheritor.py:329: DocstringInheritanceWarning: File /Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/pycromanager/acquisitions.py:845: in MagellanAcquisition.__init__: section Parameters: the docstring for the argument 'magellan_explore' is missing.\n",
      "  self._warn(\n",
      "/Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/docstring_inheritance/docstring_inheritors/bases/inheritor.py:329: DocstringInheritanceWarning: File /Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/pycromanager/acquisitions.py:845: in MagellanAcquisition.__init__: section Parameters: the docstring for the argument 'image_process_fn' is missing.\n",
      "  self._warn(\n",
      "/Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/docstring_inheritance/docstring_inheritors/bases/inheritor.py:329: DocstringInheritanceWarning: File /Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/pycromanager/acquisitions.py:845: in MagellanAcquisition.__init__: section Parameters: the docstring for the argument 'event_generation_hook_fn' is missing.\n",
      "  self._warn(\n",
      "/Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/docstring_inheritance/docstring_inheritors/bases/inheritor.py:329: DocstringInheritanceWarning: File /Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/pycromanager/acquisitions.py:845: in MagellanAcquisition.__init__: section Parameters: the docstring for the argument 'pre_hardware_hook_fn' is missing.\n",
      "  self._warn(\n",
      "/Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/docstring_inheritance/docstring_inheritors/bases/inheritor.py:329: DocstringInheritanceWarning: File /Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/pycromanager/acquisitions.py:845: in MagellanAcquisition.__init__: section Parameters: the docstring for the argument 'post_hardware_hook_fn' is missing.\n",
      "  self._warn(\n",
      "/Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/docstring_inheritance/docstring_inheritors/bases/inheritor.py:329: DocstringInheritanceWarning: File /Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/pycromanager/acquisitions.py:845: in MagellanAcquisition.__init__: section Parameters: the docstring for the argument 'post_camera_hook_fn' is missing.\n",
      "  self._warn(\n",
      "/Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/docstring_inheritance/docstring_inheritors/bases/inheritor.py:329: DocstringInheritanceWarning: File /Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/pycromanager/acquisitions.py:845: in MagellanAcquisition.__init__: section Parameters: the docstring for the argument 'image_saved_fn' is missing.\n",
      "  self._warn(\n",
      "/Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/docstring_inheritance/docstring_inheritors/bases/inheritor.py:329: DocstringInheritanceWarning: File /Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/pycromanager/acquisitions.py:845: in MagellanAcquisition.__init__: section Parameters: the docstring for the argument 'timeout' is missing.\n",
      "  self._warn(\n",
      "/Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/docstring_inheritance/docstring_inheritors/bases/inheritor.py:329: DocstringInheritanceWarning: File /Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/pycromanager/acquisitions.py:845: in MagellanAcquisition.__init__: section Parameters: the docstring for the argument 'port' is missing.\n",
      "  self._warn(\n",
      "/Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/docstring_inheritance/docstring_inheritors/bases/inheritor.py:329: DocstringInheritanceWarning: File /Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/pycromanager/acquisitions.py:845: in MagellanAcquisition.__init__: section Parameters: the docstring for the argument 'debug' is missing.\n",
      "  self._warn(\n",
      "/Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/docstring_inheritance/docstring_inheritors/bases/inheritor.py:329: DocstringInheritanceWarning: File /Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/venv/lib/python3.11/site-packages/pycromanager/acquisitions.py:845: in MagellanAcquisition.__init__: section Parameters: the docstring for the argument 'core_log_debug' is missing.\n",
      "  self._warn(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Aquisition was completed and saved at /Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/data/users/default/acquisition/xySequence_21/\n",
      "Image has size (6, 512, 512)\n",
      "Slicing to last two dimensions\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from source.apd import *\n",
    "from source.hooks import HookSet, Hook\n",
    "from datetime import datetime\n",
    "\n",
    "def printInformation(self,event,stack):\n",
    "    print(f'\\n event={event}')\n",
    "    print(datetime.now())\n",
    "    #print(f'\\ndir(self)={dir(self)}')\n",
    "    #print(f'\\ndir(stack.queue)={(stack.queue)}')\n",
    "\n",
    "def helloWorldFunctionPrehardware(self,event,stack):\n",
    "    print('\\nhello world from Pre-hardware Hook')\n",
    "    printInformation(self,event,stack)\n",
    "    return event\n",
    "\n",
    "def helloWorldFunctionPostHardware(self,event,stack):\n",
    "    print('\\nhello world from Post-hardware Hook')\n",
    "    printInformation(self,event,stack)\n",
    "    return event\n",
    "\n",
    "hooks=HookSet()\n",
    "hooks.hookPreHardware=Hook(function=helloWorldFunctionPrehardware)\n",
    "hooks.hookPostHardware=Hook(function=helloWorldFunctionPostHardware)\n",
    "\n",
    "apdSystem = APDSystem(configFileName='myConfig.cfg', rootDataFolder='') #local\n",
    "lib = AcquisitionPluginLibrary()\n",
    "positions=[[0,0],[1,0],[0,1],[1,1],[1,2],[2,1]] #a list of length 1 which will use the origin [0,0] only\n",
    "acquisition = lib.xySequence(positions)\n",
    "#acquisition.hooks=hooks\n",
    "dataset=apdSystem.acquire(acquisition)\n",
    "\n",
    "print(f'Aquisition was completed and saved at {dataset.path}')\n",
    "viewAcquisition(dataset)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'axes': {'z': 0, 'time': 0, 'position': 0}, 'x': 0, 'y': 0, 'z': -1}\n",
      "{'axes': {'z': 1, 'time': 0, 'position': 0}, 'x': 0, 'y': 0, 'z': 0}\n",
      "{'axes': {'z': 2, 'time': 0, 'position': 0}, 'x': 0, 'y': 0, 'z': 1}\n",
      "{'axes': {'z': 0, 'time': 0, 'position': 1}, 'x': 0, 'y': 1, 'z': -1}\n",
      "{'axes': {'z': 1, 'time': 0, 'position': 1}, 'x': 0, 'y': 1, 'z': 0}\n",
      "{'axes': {'z': 2, 'time': 0, 'position': 1}, 'x': 0, 'y': 1, 'z': 1}\n"
     ]
    }
   ],
   "source": [
    "from source.apd import *\n",
    "from source.hooks import HookSet, Hook\n",
    "\n",
    "def printEventInformation(self,event,stack):\n",
    "    print(event)\n",
    "    return event\n",
    "\n",
    "hooks=HookSet()\n",
    "hooks.hookPreHardware=Hook(function=printEventInformation)\n",
    "\n",
    "lib = AcquisitionPluginLibrary()\n",
    "positions=[[0,0],[0,1]] #a list of length 1 which will use the origin [0,0] only\n",
    "acquisition = lib.xySequence(positions,zRange=[-1.,1.,1.])\n",
    "acquisition.hooks=hooks\n",
    "\n",
    "apdSystem = APDSystem(configFileName='myConfig.cfg', rootDataFolder='') #local\n",
    "dataset = apdSystem.acquire(acquisition)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Example 3.X: Image Hook Functions\n",
    "Here is an example with an image processing hook that prints the dimensioins of the images.\n",
    "Image hooks use a different set of inputs than the others."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<source.hooks.ImageHook object at 0x145532e10>\n",
      "{'Z-Description': 'Demo stage driver', 'Camera-PixelType': '16bit', 'Camera-Binning': '1', 'Core-Shutter': 'White Light Shutter', 'Camera-FastImage': '0', 'Z-Name': 'DStage', 'Camera-SimulateCrash': '', 'Emission-Name': 'DWheel', 'ChannelIndex': 0, 'Camera-TransposeMirrorX': '0', 'Camera-TransposeMirrorY': '0', 'LED Shutter-Name': 'State Device Shutter', 'Camera-Mode': 'Artificial Waves', 'Z-Position': '0.0000', 'Core-AutoShutter': '1', 'Camera-UseExposureSequences': 'No', 'Dichroic-State': '0', 'Dichroic-Name': 'DWheel', 'Path-Description': 'Demo light-path driver', 'LED-Label': 'Closed', 'SliceIndex': 0, 'Position': 'Default', 'PixelSize_um': 1, 'CameraChannelIndex': 0, 'Exposure': 100, 'Path-Name': 'DLightPath', 'Camera-Description': 'Demo Camera Device Adapter', 'Dichroic-Description': 'Demo filter wheel driver', 'White Light Shutter-State': '1', 'Camera-ReadNoise (electrons)': '2.5000', 'Camera-RotateImages': '0', 'Dichroic-HubID': '', 'PixelSizeUm': 1, 'Camera-BitDepth': '16', 'Camera-DisplayImageNumber': '0', 'Camera-FractionOfPixelsToDropOrSaturate': '0.0020', 'Core-ChannelGroup': '', 'Camera-AsyncPropertyLeader': '', 'Path-HubID': '', 'Excitation-Name': 'DWheel', 'Frame': 0, 'Camera-OnCameraCCDYSize': '512', 'Core-ImageProcessor': '', 'Core-Camera': 'Camera', 'Camera-CameraID': 'V1.0', 'Objective-State': '1', 'XY-TransposeMirrorX': '0', 'XY-TransposeMirrorY': '0', 'XY-Name': 'DXYStage', 'Camera-MultiROIFillValue': '0', 'White Light Shutter-Description': 'Demo shutter driver', 'LED-ClosedPosition': '0', 'Axes': {'time': 0, 'position': 0}, 'Camera-AsyncPropertyDelayMS': '2000', 'Excitation-Description': 'Demo filter wheel driver', 'Width': 512, 'Camera-SaturatePixels': '0', 'Autofocus-Description': 'Demo auto-focus adapter', 'Camera-Name': 'DCam', 'LED-Description': 'Demo state device driver', 'Excitation-HubID': '', 'LED-HubID': '', 'Camera-CCDTemperature': '0.0000', 'Camera-TransposeXY': '0', 'Camera-Gain': '0', 'Autofocus-HubID': '', 'Camera-DropPixels': '0', 'Camera-TestProperty1': '0.0000', 'Camera-TestProperty2': '0.0000', 'Camera-TestProperty3': '0.0000', 'Autofocus-Name': 'DAutoFocus', 'Camera-TestProperty4': '0.0000', 'Z-UseSequences': 'No', 'Camera-TestProperty5': '0.0000', 'Camera-TestProperty6': '0.0000', 'PixelSizeAffine': '1.0;0.0;0.0;0.0;1.0;0.0', 'Emission-ClosedPosition': '0', 'Core-Initialize': '1', 'XY-HubID': '', 'BitDepth': 16, 'Emission-State': '0', 'Emission-Description': 'Demo filter wheel driver', 'Core-AutoFocus': 'Autofocus', 'Z-HubID': '', 'Camera-CameraName': 'DemoCamera-MultiMode', 'Camera-ScanMode': '1', 'Camera-TransposeCorrection': '0', 'Objective-Label': 'Nikon 10X S Fluor', 'Camera-AsyncPropertyFollower': '', 'Core-TimeoutMs': '5000', 'Channel': 'Default', 'Objective-HubID': '', 'Dichroic-ClosedPosition': '0', 'ROI': '0-0-512-512', 'YPosition_um_Intended': 0, 'XY-Description': 'Demo XY stage driver', 'LED-State': '0', 'LED-Number of positions': '10', 'LED-Sequence': 'Off', 'Slice': 0, 'Camera-Exposure': '100.00', 'Core-Galvo': '', 'Camera-MaximumExposureMs': '10000.0000', 'LED-Name': 'DStateDevice', 'Camera-Photon Conversion Factor': '1.0000', 'Camera-ReadoutTime': '0.0000', 'Dichroic-Label': '400DCLP', 'White Light Shutter-Name': 'DShutter', 'Emission-HubID': '', 'Time': '2024-01-20 14:41:53 -', 'XPosition_um_Intended': 0, 'Camera-HubID': '', 'Camera-Photon Flux': '50.0000', 'Camera-TriggerDevice': '', 'Excitation-State': '0', 'Binning': '1', 'Core-XYStage': 'XY', 'Path-Label': 'State-0', 'Camera-AllowMultiROI': '0', 'Excitation-ClosedPosition': '0', 'Height': 512, 'LED Shutter-Description': 'State device that is used as a shutter', 'LED Shutter-State Device': 'LED', 'PixelType': 'GRAY16', 'Emission-Label': 'Chroma-HQ700', 'Objective-Name': 'DObjective', 'Excitation-Label': 'Chroma-HQ570', 'Core-SLM': '', 'Path-State': '0', 'Objective-Trigger': '-', 'White Light Shutter-HubID': '', 'Camera-CCDTemperature RO': '0.0000', 'ElapsedTime-ms': 0, 'Camera-Offset': '0', 'Core-Focus': 'Z', 'Camera-OnCameraCCDXSize': '512', 'Objective-Description': 'Demo objective turret driver', 'Camera-StripeWidth': '1.0000', 'PositionIndex': 0, 'FrameIndex': 0}\n",
      "(512, 512)\n",
      "<source.hooks.ImageHook object at 0x145532e10>\n",
      "{'Z-Description': 'Demo stage driver', 'Camera-PixelType': '16bit', 'Camera-Binning': '1', 'Core-Shutter': 'White Light Shutter', 'Camera-FastImage': '0', 'Z-Name': 'DStage', 'Camera-SimulateCrash': '', 'Emission-Name': 'DWheel', 'ChannelIndex': 0, 'Camera-TransposeMirrorX': '0', 'Camera-TransposeMirrorY': '0', 'LED Shutter-Name': 'State Device Shutter', 'Camera-Mode': 'Artificial Waves', 'Z-Position': '0.0000', 'Core-AutoShutter': '1', 'Camera-UseExposureSequences': 'No', 'Dichroic-State': '0', 'Dichroic-Name': 'DWheel', 'Path-Description': 'Demo light-path driver', 'LED-Label': 'Closed', 'SliceIndex': 0, 'Position': 'Default', 'PixelSize_um': 1, 'CameraChannelIndex': 0, 'Exposure': 100, 'Path-Name': 'DLightPath', 'Camera-Description': 'Demo Camera Device Adapter', 'Dichroic-Description': 'Demo filter wheel driver', 'White Light Shutter-State': '1', 'Camera-ReadNoise (electrons)': '2.5000', 'Camera-RotateImages': '0', 'Dichroic-HubID': '', 'PixelSizeUm': 1, 'Camera-BitDepth': '16', 'Camera-DisplayImageNumber': '0', 'Camera-FractionOfPixelsToDropOrSaturate': '0.0020', 'Core-ChannelGroup': '', 'Camera-AsyncPropertyLeader': '', 'Path-HubID': '', 'Excitation-Name': 'DWheel', 'Frame': 0, 'Camera-OnCameraCCDYSize': '512', 'Core-ImageProcessor': '', 'Core-Camera': 'Camera', 'Camera-CameraID': 'V1.0', 'Objective-State': '1', 'XY-TransposeMirrorX': '0', 'XY-TransposeMirrorY': '0', 'XY-Name': 'DXYStage', 'Camera-MultiROIFillValue': '0', 'White Light Shutter-Description': 'Demo shutter driver', 'LED-ClosedPosition': '0', 'Axes': {'time': 0, 'position': 1}, 'Camera-AsyncPropertyDelayMS': '2000', 'Excitation-Description': 'Demo filter wheel driver', 'Width': 512, 'Camera-SaturatePixels': '0', 'Autofocus-Description': 'Demo auto-focus adapter', 'Camera-Name': 'DCam', 'LED-Description': 'Demo state device driver', 'Excitation-HubID': '', 'LED-HubID': '', 'Camera-CCDTemperature': '0.0000', 'Camera-TransposeXY': '0', 'Camera-Gain': '0', 'Autofocus-HubID': '', 'Camera-DropPixels': '0', 'Camera-TestProperty1': '0.0000', 'Camera-TestProperty2': '0.0000', 'Camera-TestProperty3': '0.0000', 'Autofocus-Name': 'DAutoFocus', 'Camera-TestProperty4': '0.0000', 'Z-UseSequences': 'No', 'Camera-TestProperty5': '0.0000', 'Camera-TestProperty6': '0.0000', 'PixelSizeAffine': '1.0;0.0;0.0;0.0;1.0;0.0', 'Emission-ClosedPosition': '0', 'Core-Initialize': '1', 'XY-HubID': '', 'BitDepth': 16, 'Emission-State': '0', 'Emission-Description': 'Demo filter wheel driver', 'Core-AutoFocus': 'Autofocus', 'Z-HubID': '', 'Camera-CameraName': 'DemoCamera-MultiMode', 'Camera-ScanMode': '1', 'Camera-TransposeCorrection': '0', 'Objective-Label': 'Nikon 10X S Fluor', 'Camera-AsyncPropertyFollower': '', 'Core-TimeoutMs': '5000', 'Channel': 'Default', 'Objective-HubID': '', 'Dichroic-ClosedPosition': '0', 'ROI': '0-0-512-512', 'YPosition_um_Intended': 0, 'XY-Description': 'Demo XY stage driver', 'LED-State': '0', 'LED-Number of positions': '10', 'LED-Sequence': 'Off', 'Slice': 0, 'Camera-Exposure': '100.00', 'Core-Galvo': '', 'Camera-MaximumExposureMs': '10000.0000', 'LED-Name': 'DStateDevice', 'Camera-Photon Conversion Factor': '1.0000', 'Camera-ReadoutTime': '0.0000', 'Dichroic-Label': '400DCLP', 'White Light Shutter-Name': 'DShutter', 'Emission-HubID': '', 'Time': '2024-01-20 14:41:53 -', 'XPosition_um_Intended': 1, 'Camera-HubID': '', 'Camera-Photon Flux': '50.0000', 'Camera-TriggerDevice': '', 'Excitation-State': '0', 'Binning': '1', 'Core-XYStage': 'XY', 'Path-Label': 'State-0', 'Camera-AllowMultiROI': '0', 'Excitation-ClosedPosition': '0', 'Height': 512, 'LED Shutter-Description': 'State device that is used as a shutter', 'LED Shutter-State Device': 'LED', 'PixelType': 'GRAY16', 'Emission-Label': 'Chroma-HQ700', 'Objective-Name': 'DObjective', 'Excitation-Label': 'Chroma-HQ570', 'Core-SLM': '', 'Path-State': '0', 'Objective-Trigger': '-', 'White Light Shutter-HubID': '', 'Camera-CCDTemperature RO': '0.0000', 'ElapsedTime-ms': 101, 'Camera-Offset': '0', 'Core-Focus': 'Z', 'Camera-OnCameraCCDXSize': '512', 'Objective-Description': 'Demo objective turret driver', 'Camera-StripeWidth': '1.0000', 'PositionIndex': 0, 'FrameIndex': 0}\n",
      "(512, 512)\n",
      "<source.hooks.ImageHook object at 0x145532e10>\n",
      "{'Z-Description': 'Demo stage driver', 'Camera-PixelType': '16bit', 'Camera-Binning': '1', 'Core-Shutter': 'White Light Shutter', 'Camera-FastImage': '0', 'Z-Name': 'DStage', 'Camera-SimulateCrash': '', 'Emission-Name': 'DWheel', 'ChannelIndex': 0, 'Camera-TransposeMirrorX': '0', 'Camera-TransposeMirrorY': '0', 'LED Shutter-Name': 'State Device Shutter', 'Camera-Mode': 'Artificial Waves', 'Z-Position': '0.0000', 'Core-AutoShutter': '1', 'Camera-UseExposureSequences': 'No', 'Dichroic-State': '0', 'Dichroic-Name': 'DWheel', 'Path-Description': 'Demo light-path driver', 'LED-Label': 'Closed', 'SliceIndex': 0, 'Position': 'Default', 'PixelSize_um': 1, 'CameraChannelIndex': 0, 'Exposure': 100, 'Path-Name': 'DLightPath', 'Camera-Description': 'Demo Camera Device Adapter', 'Dichroic-Description': 'Demo filter wheel driver', 'White Light Shutter-State': '1', 'Camera-ReadNoise (electrons)': '2.5000', 'Camera-RotateImages': '0', 'Dichroic-HubID': '', 'PixelSizeUm': 1, 'Camera-BitDepth': '16', 'Camera-DisplayImageNumber': '0', 'Camera-FractionOfPixelsToDropOrSaturate': '0.0020', 'Core-ChannelGroup': '', 'Camera-AsyncPropertyLeader': '', 'Path-HubID': '', 'Excitation-Name': 'DWheel', 'Frame': 0, 'Camera-OnCameraCCDYSize': '512', 'Core-ImageProcessor': '', 'Core-Camera': 'Camera', 'Camera-CameraID': 'V1.0', 'Objective-State': '1', 'XY-TransposeMirrorX': '0', 'XY-TransposeMirrorY': '0', 'XY-Name': 'DXYStage', 'Camera-MultiROIFillValue': '0', 'White Light Shutter-Description': 'Demo shutter driver', 'LED-ClosedPosition': '0', 'Axes': {'time': 0, 'position': 2}, 'Camera-AsyncPropertyDelayMS': '2000', 'Excitation-Description': 'Demo filter wheel driver', 'Width': 512, 'Camera-SaturatePixels': '0', 'Autofocus-Description': 'Demo auto-focus adapter', 'Camera-Name': 'DCam', 'LED-Description': 'Demo state device driver', 'Excitation-HubID': '', 'LED-HubID': '', 'Camera-CCDTemperature': '0.0000', 'Camera-TransposeXY': '0', 'Camera-Gain': '0', 'Autofocus-HubID': '', 'Camera-DropPixels': '0', 'Camera-TestProperty1': '0.0000', 'Camera-TestProperty2': '0.0000', 'Camera-TestProperty3': '0.0000', 'Autofocus-Name': 'DAutoFocus', 'Camera-TestProperty4': '0.0000', 'Z-UseSequences': 'No', 'Camera-TestProperty5': '0.0000', 'Camera-TestProperty6': '0.0000', 'PixelSizeAffine': '1.0;0.0;0.0;0.0;1.0;0.0', 'Emission-ClosedPosition': '0', 'Core-Initialize': '1', 'XY-HubID': '', 'BitDepth': 16, 'Emission-State': '0', 'Emission-Description': 'Demo filter wheel driver', 'Core-AutoFocus': 'Autofocus', 'Z-HubID': '', 'Camera-CameraName': 'DemoCamera-MultiMode', 'Camera-ScanMode': '1', 'Camera-TransposeCorrection': '0', 'Objective-Label': 'Nikon 10X S Fluor', 'Camera-AsyncPropertyFollower': '', 'Core-TimeoutMs': '5000', 'Channel': 'Default', 'Objective-HubID': '', 'Dichroic-ClosedPosition': '0', 'ROI': '0-0-512-512', 'YPosition_um_Intended': 1, 'XY-Description': 'Demo XY stage driver', 'LED-State': '0', 'LED-Number of positions': '10', 'LED-Sequence': 'Off', 'Slice': 0, 'Camera-Exposure': '100.00', 'Core-Galvo': '', 'Camera-MaximumExposureMs': '10000.0000', 'LED-Name': 'DStateDevice', 'Camera-Photon Conversion Factor': '1.0000', 'Camera-ReadoutTime': '0.0000', 'Dichroic-Label': '400DCLP', 'White Light Shutter-Name': 'DShutter', 'Emission-HubID': '', 'Time': '2024-01-20 14:41:53 -', 'XPosition_um_Intended': 0, 'Camera-HubID': '', 'Camera-Photon Flux': '50.0000', 'Camera-TriggerDevice': '', 'Excitation-State': '0', 'Binning': '1', 'Core-XYStage': 'XY', 'Path-Label': 'State-0', 'Camera-AllowMultiROI': '0', 'Excitation-ClosedPosition': '0', 'Height': 512, 'LED Shutter-Description': 'State device that is used as a shutter', 'LED Shutter-State Device': 'LED', 'PixelType': 'GRAY16', 'Emission-Label': 'Chroma-HQ700', 'Objective-Name': 'DObjective', 'Excitation-Label': 'Chroma-HQ570', 'Core-SLM': '', 'Path-State': '0', 'Objective-Trigger': '-', 'White Light Shutter-HubID': '', 'Camera-CCDTemperature RO': '0.0000', 'ElapsedTime-ms': 203, 'Camera-Offset': '0', 'Core-Focus': 'Z', 'Camera-OnCameraCCDXSize': '512', 'Objective-Description': 'Demo objective turret driver', 'Camera-StripeWidth': '1.0000', 'PositionIndex': 0, 'FrameIndex': 0}\n",
      "(512, 512)\n",
      "Aquisition was completed and saved at /Users/munsky/Dropbox/My Mac (ETSs-MacBook-Pro.local)/Documents/GitHub/MicroscopyControlAndProcessing/data/users/default/acquisition/xySequence_23/\n",
      "Image has size (3, 250, 512)\n",
      "Slicing to last two dimensions\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from source.hooks import ImageHook\n",
    "\n",
    "def imageProcessFunction(self,image,metadata,**kwargs):\n",
    "    print(self)\n",
    "    print(metadata)\n",
    "    print(image.shape)\n",
    "    image = image[:250,:]\n",
    "    metadata['Height'], metadata['Width'] = image.shape\n",
    "    return image, metadata\n",
    "\n",
    "hooks=HookSet()\n",
    "hooks.hookImageProcess=ImageHook(function=imageProcessFunction)\n",
    "\n",
    "apdSystem = APDSystem(configFileName='myConfig.cfg', rootDataFolder='') #local\n",
    "lib = AcquisitionPluginLibrary()\n",
    "positions=[[0,0],[1,0],[0,1]] \n",
    "acquisition = lib.xySequence(positions)\n",
    "acquisition.hooks=hooks\n",
    "acquisition.settings.show_display=False\n",
    "dataset=apdSystem.acquire(acquisition)\n",
    "\n",
    "print(f'Aquisition was completed and saved at {dataset.path}')\n",
    "viewAcquisition(dataset)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "venv",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}