{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "from nbutils import add_project_path_to_sys_path\n",
    "\n",
    "\n",
    "# Add project root to sys.path\n",
    "add_project_path_to_sys_path()\n",
    "\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "try:\n",
    "    import src.hdf5_ops as hdf5_ops\n",
    "    import visualization.napp_plotlib as napp\n",
    "    #import pipelines.metadata_revision as metadata_revision\n",
    "    print(\"Imports successful!\")\n",
    "except ImportError as e:\n",
    "    print(f\"Import error: {e}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Define h5 file name and make sure file is located at the current working dir\n",
    "filename = '../input_files/FileList_v2.h5'\n",
    "\n",
    "# Read h5 file into dataframe\n",
    "dataframe = hdf5_ops.read_mtable_as_dataframe(filename)\n",
    "\n",
    "\n",
    "dataframe['lastModifiedDatestr']\n",
    "print(dataframe.columns)\n",
    "\n",
    "dataframe.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "dataframe['image'][0].shape\n",
    "\n",
    "name_filter = (dataframe['name'] == '0116116_Cl2p_750eV.ibw').to_numpy()\n",
    "date_filter = np.array(['Jun-2023' in date for date in dataframe['lastModifiedDatestr']])\n",
    "\n",
    "filter = np.logical_and(name_filter.flatten(),date_filter.flatten()) \n",
    "\n",
    "napp.plot_image(dataframe,filter)\n",
    "napp.plot_spectra(dataframe,filter)\n",
    "\n",
    "name_filter = np.array(['merge' in name for name in dataframe['name'] ])\n",
    "date_filter = np.array(['Jun-2023' in date for date in dataframe['lastModifiedDatestr']])\n",
    "filter = np.logical_and(name_filter.flatten(),date_filter.flatten()) \n",
    "\n",
    "\n",
    "napp.plot_spectra(dataframe,filter)\n",
    "\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "multiphase_chemistry_env",
   "language": "python",
   "name": "python3"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.9"
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