notebooks/GUI tests.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "82c713ce",
   "metadata": {},
   "outputs": [],
   "source": [
    "import tkinter as tk\n",
    "from tkinter import ttk\n",
    "from tkcalendar import DateEntry\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg\n",
    "import pandas as pd\n",
    "\n",
    "class PulseSpotterApp:\n",
    "    def __init__(self, root):\n",
    "        self.root = root\n",
    "        self.root.title(\"PulseSpotter\")\n",
    "        \n",
    "        # websites list and checkboxes\n",
    "        self.websites = [\"Website 1\", \"Website 2\", \"Website 3\", \"Website 4\"]\n",
    "        self.website_vars = [tk.BooleanVar() for _ in self.websites]\n",
    "        \n",
    "        website_frame = ttk.LabelFrame(self.root, text=\"Select Websites\")\n",
    "        website_frame.grid(row=0, column=0, padx=10, pady=10, sticky=\"nw\")\n",
    "        \n",
    "        for idx, site in enumerate(self.websites):\n",
    "            ttk.Checkbutton(website_frame, text=site, variable=self.website_vars[idx]).grid(row=idx, column=0, sticky=\"w\")\n",
    "        \n",
    "        # date entry fields\n",
    "        date_frame = ttk.LabelFrame(self.root, text=\"Date Range\")\n",
    "        date_frame.grid(row=1, column=0, padx=10, pady=10, sticky=\"nw\")\n",
    "        \n",
    "        ttk.Label(date_frame, text=\"Start Date:\").grid(row=0, column=0, sticky=\"w\")\n",
    "        self.start_date = DateEntry(date_frame, width=12, background='darkblue', foreground='white', borderwidth=2)\n",
    "        self.start_date.grid(row=0, column=1, padx=5, pady=5)\n",
    "        \n",
    "        ttk.Label(date_frame, text=\"End Date:\").grid(row=1, column=0, sticky=\"w\")\n",
    "        self.end_date = DateEntry(date_frame, width=12, background='darkblue', foreground='white', borderwidth=2)\n",
    "        self.end_date.grid(row=1, column=1, padx=5, pady=5)\n",
    "        \n",
    "        # keyword of interest\n",
    "        keyword_frame = ttk.LabelFrame(self.root, text=\"Keyword of Interest\")\n",
    "        keyword_frame.grid(row=2, column=0, padx=10, pady=10, sticky=\"nw\")\n",
    "        \n",
    "        ttk.Label(keyword_frame, text=\"Keyword:\").grid(row=0, column=0, sticky=\"w\")\n",
    "        self.keyword_entry = ttk.Entry(keyword_frame, width=20)\n",
    "        self.keyword_entry.grid(row=0, column=1, padx=5, pady=5)\n",
    "        \n",
    "        # search button\n",
    "        search_button = ttk.Button(self.root, text=\"Search\", command=self.perform_search)\n",
    "        search_button.grid(row=3, column=0, padx=10, pady=10, sticky=\"w\")\n",
    "        \n",
    "        # visualization frame\n",
    "        self.viz_frame = ttk.LabelFrame(self.root, text=\"Visualization\")\n",
    "        self.viz_frame.grid(row=4, column=0, padx=10, pady=10, sticky=\"nw\")\n",
    "        \n",
    "        self.fig, self.ax = plt.subplots()\n",
    "        self.canvas = FigureCanvasTkAgg(self.fig, master=self.viz_frame)\n",
    "        self.canvas.get_tk_widget().pack()\n",
    "\n",
    "    def perform_search(self):\n",
    "        selected_websites = [site for idx, site in enumerate(self.websites) if self.website_vars[idx].get()]\n",
    "        start_date = self.start_date.get_date()\n",
    "        end_date = self.end_date.get_date()\n",
    "        keyword = self.keyword_entry.get()\n",
    "        \n",
    "        # Perform data retrieval and visualization (this is just a placeholder)\n",
    "        data = pd.DataFrame({\n",
    "            'Date': pd.date_range(start=start_date, end=end_date, periods=10),\n",
    "            'Value': range(10)\n",
    "        })\n",
    "        \n",
    "        self.ax.clear()\n",
    "        self.ax.plot(data['Date'], data['Value'], label=keyword)\n",
    "        self.ax.legend()\n",
    "        self.ax.set_title(f\"Keyword: {keyword}\")\n",
    "        self.ax.set_xlabel(\"Date\")\n",
    "        self.ax.set_ylabel(\"Value\")\n",
    "        \n",
    "        self.canvas.draw()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "b6290387",
   "metadata": {},
   "outputs": [
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[4], line 3\u001b[0m\n\u001b[1;32m      1\u001b[0m root \u001b[38;5;241m=\u001b[39m tk\u001b[38;5;241m.\u001b[39mTk()\n\u001b[1;32m      2\u001b[0m app \u001b[38;5;241m=\u001b[39m PulseSpotterApp(root)\n\u001b[0;32m----> 3\u001b[0m \u001b[43mroot\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmainloop\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m~/miniconda3/envs/medialab-env/lib/python3.10/tkinter/__init__.py:1458\u001b[0m, in \u001b[0;36mMisc.mainloop\u001b[0;34m(self, n)\u001b[0m\n\u001b[1;32m   1456\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mmainloop\u001b[39m(\u001b[38;5;28mself\u001b[39m, n\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m0\u001b[39m):\n\u001b[1;32m   1457\u001b[0m \u001b[38;5;250m    \u001b[39m\u001b[38;5;124;03m\"\"\"Call the mainloop of Tk.\"\"\"\u001b[39;00m\n\u001b[0;32m-> 1458\u001b[0m     \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtk\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmainloop\u001b[49m\u001b[43m(\u001b[49m\u001b[43mn\u001b[49m\u001b[43m)\u001b[49m\n",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "root = tk.Tk()\n",
    "app = PulseSpotterApp(root)\n",
    "root.mainloop()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "09df5b8c",
   "metadata": {},
   "outputs": [],
   "source": [
    "import tkinter as tk\n",
    "from tkinter import ttk\n",
    "from tkcalendar import DateEntry\n",
    "from PIL import Image, ImageTk\n",
    "\n",
    "class PulseSpotterApp:\n",
    "    def __init__(self, root):\n",
    "        self.root = root\n",
    "        self.root.title(\"PulseSpotter\")\n",
    "        \n",
    "        # Websites list and checkboxes\n",
    "        self.websites = [\"Website 1\", \"Website 2\", \"Website 3\", \"Website 4\"]\n",
    "        self.website_vars = [tk.BooleanVar() for _ in self.websites]\n",
    "        \n",
    "        website_frame = ttk.LabelFrame(self.root, text=\"Select Websites\")\n",
    "        website_frame.grid(row=0, column=0, padx=10, pady=10, sticky=\"nw\")\n",
    "        \n",
    "        for idx, site in enumerate(self.websites):\n",
    "            ttk.Checkbutton(website_frame, text=site, variable=self.website_vars[idx]).grid(row=idx, column=0, sticky=\"w\")\n",
    "        \n",
    "        # Date entry fields\n",
    "        date_frame = ttk.LabelFrame(self.root, text=\"Date Range\")\n",
    "        date_frame.grid(row=1, column=0, padx=10, pady=10, sticky=\"nw\")\n",
    "        \n",
    "        ttk.Label(date_frame, text=\"Start Date:\").grid(row=0, column=0, sticky=\"w\")\n",
    "        self.start_date = DateEntry(date_frame, width=12, background='darkblue', foreground='white', borderwidth=2)\n",
    "        self.start_date.grid(row=0, column=1, padx=5, pady=5)\n",
    "        \n",
    "        ttk.Label(date_frame, text=\"End Date:\").grid(row=1, column=0, sticky=\"w\")\n",
    "        self.end_date = DateEntry(date_frame, width=12, background='darkblue', foreground='white', borderwidth=2)\n",
    "        self.end_date.grid(row=1, column=1, padx=5, pady=5)\n",
    "        \n",
    "        # Keyword of interest\n",
    "        keyword_frame = ttk.LabelFrame(self.root, text=\"Keyword of Interest\")\n",
    "        keyword_frame.grid(row=2, column=0, padx=10, pady=10, sticky=\"nw\")\n",
    "        \n",
    "        ttk.Label(keyword_frame, text=\"Keyword:\").grid(row=0, column=0, sticky=\"w\")\n",
    "        self.keyword_entry = ttk.Entry(keyword_frame, width=20)\n",
    "        self.keyword_entry.grid(row=0, column=1, padx=5, pady=5)\n",
    "        \n",
    "        # Search button\n",
    "        search_button = ttk.Button(self.root, text=\"Search\", command=self.perform_search)\n",
    "        search_button.grid(row=3, column=0, padx=10, pady=10, sticky=\"w\")\n",
    "        \n",
    "        # Visualization frame\n",
    "        self.viz_frame = ttk.LabelFrame(self.root, text=\"Visualization\")\n",
    "        self.viz_frame.grid(row=4, column=0, padx=10, pady=10, sticky=\"nw\")\n",
    "        \n",
    "        # Placeholder for image\n",
    "        self.image_label = ttk.Label(self.viz_frame)\n",
    "        self.image_label.pack()\n",
    "\n",
    "    def perform_search(self):\n",
    "        selected_websites = [site for idx, site in enumerate(self.websites) if self.website_vars[idx].get()]\n",
    "        start_date = self.start_date.get_date()\n",
    "        end_date = self.end_date.get_date()\n",
    "        keyword = self.keyword_entry.get()\n",
    "        \n",
    "        # Load and display image (this is just a placeholder)\n",
    "        image_path = \"./topics_demo.png\"  # Update this path to your .jpeg file\n",
    "        image = Image.open(image_path)\n",
    "        image = image.resize((500, 300), Image.ANTIALIAS)\n",
    "        image_tk = ImageTk.PhotoImage(image)\n",
    "        \n",
    "        self.image_label.configure(image=image_tk)\n",
    "        self.image_label.image = image_tk  # Keep a reference to avoid garbage collection"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "362937e5",
   "metadata": {},
   "outputs": [],
   "source": [
    "root = tk.Tk()\n",
    "app = PulseSpotterApp(root)\n",
    "root.mainloop()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "5f3bc3fe",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting python-docx\n",
      "  Downloading python_docx-1.1.2-py3-none-any.whl.metadata (2.0 kB)\n",
      "Requirement already satisfied: lxml>=3.1.0 in /home/mirza/miniconda3/envs/medialab-env/lib/python3.10/site-packages (from python-docx) (5.2.1)\n",
      "Requirement already satisfied: typing-extensions>=4.9.0 in /home/mirza/miniconda3/envs/medialab-env/lib/python3.10/site-packages (from python-docx) (4.11.0)\n",
      "Downloading python_docx-1.1.2-py3-none-any.whl (244 kB)\n",
      "\u001b[2K   \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m244.3/244.3 kB\u001b[0m \u001b[31m3.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m[31m3.5 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\n",
      "\u001b[?25hInstalling collected packages: python-docx\n",
      "Successfully installed python-docx-1.1.2\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "%pip install python-docx"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "f44e0094",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Document saved as modified_doc.docx\n"
     ]
    }
   ],
   "source": [
    "from docx import Document\n",
    "\n",
    "# Load the document\n",
    "doc_path = 'sample.docx'\n",
    "document = Document(doc_path)\n",
    "\n",
    "# Change the text of the first paragraph\n",
    "if document.paragraphs:\n",
    "    document.paragraphs[0].text = \"This is the new text for the first paragraph.\"\n",
    "\n",
    "# Save the document with a new name\n",
    "new_doc_path = 'modified_doc.docx'\n",
    "document.save(new_doc_path)\n",
    "\n",
    "print(f\"Document saved as {new_doc_path}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7745cf06",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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  "kernelspec": {
   "display_name": "medialab-env",
   "language": "python",
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    "name": "ipython",
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   "file_extension": ".py",
   "mimetype": "text/x-python",
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