notebook.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sheets.sheets_dev import SheetsDev as Sheets\n",
    "from drive.drive_dev import DriveDev as Drive\n",
    "from dhl.dhl_gm import DHL_GM\n",
    "import pandas as pd\n",
    "import utils\n",
    "import base64\n",
    "from io import BytesIO\n",
    "import codecs\n",
    "\n",
    "import datetime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "sheet_id = \"Your Sheet ID\"\n",
    "sheets = Sheets()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "dhl_client = DHL_GM()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "orders = sheets.get_spreadsheet(sheet_id, range='A2:AI')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.DataFrame(orders)\n",
    "df = df.rename(columns=df.iloc[0]).drop(df.index[0])\n",
    "df['Weight (kg)'] = df['Weight (kg)'].apply(utils.convert_weight) * 1000\n",
    "df['listing price (EUR)'] = df['listing price (EUR)'].apply(utils.convert_listing_price).astype(float)\n",
    "df['total_items (EUR)'] = df['total_items (EUR)'].apply(utils.convert_listing_price).astype(float)\n",
    "item_rows = df[\n",
    "    (df['Carrier'] == \"DHL Global Mail\") & (df['Create Shipment'] == \"TRUE\") & (df['Validation'] == \"FALSE\")]\n",
    "if not item_rows.empty:\n",
    "    print(\"Loaded Data for items\")\n",
    "else:\n",
    "    print(df)\n",
    "    print(\"No item rows found for the dataframe below\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "dhl_client.get_access_token()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "item_ids = []\n",
    "item_barcodes = []\n",
    "for idx, item in item_rows.iterrows():\n",
    "    row_number = idx + 2  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "item_content = df[df['order_id'] == item['order_id']]\n",
    "service = \"GPT\" if \"GPT\" in item['Suggested Shipment Type'] else \"GPP\"\n",
    "print(f\"Service type is {service}\")\n",
    "dhl_client.get_access_token()\n",
    "item_details = dhl_client.create_single_item(item_content, product=service)\n",
    "item_barcode = item_details.get('barcode')\n",
    "item_id = item_details.get('id')\n",
    "if item_barcode:\n",
    "    item_barcodes.append(item_barcode)\n",
    "    tracking_link = dhl_client.get_tracking_link(item_barcode)\n",
    "    label = dhl_client.get_label_for_item(item_barcode)\n",
    "    print(f\"Label for {item_barcode} is {label}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "file_name = \"DHLGMLabels_\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "label"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "drive = DriveDev()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "file is a bytes\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "'1Ba9qwbnbrYrfb9tLQrCuXo2sy0tu_ywQ'"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "drive.upload_shipping_label(label, file_name)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "file is not a string\n"
     ]
    }
   ],
   "source": [
    "\n",
    "if not isinstance(file_content_base64, str):\n",
    "    print(\"file is not a string\")\n",
    "    pdf = file_content_base64\n",
    "elif isinstance(file_content_base64, str):\n",
    "    print(\"file is a string\")\n",
    "    base64String = bytes(file_content_base64.replace(\"data:application/pdf;base64,\", \"\"), 'utf-8')\n",
    "    pdf = BytesIO(codecs.decode(base64String, \"base64\"))\n",
    "else:\n",
    "    base64String = file_content_base64\n",
    "    pdf = BytesIO(codecs.decode(base64String, \"base64\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
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/FlateDecode\\n>>\\nstream\\r\\nx\\x9c\\x0b\\xe4r\\n\\xe1\\xd2w3R0U\\x08I\\xe3\\xd2wI-\\xcbLN\\rrwRH.\\xe62P\\x00\\xc1\\xe2d.C0\\xc3P\\xc1\\xd0\\xd4X\\xcf\\xc0\\xdc\\xc0\\xc2B\\xc1\\xc8\\xcc\\\\\\xcf\\xc2\\xdc\\xc4\\xc0H!$\\x97K\\x83!F\\x83!\\x90\\x81\\x99\\xc1\\x8d\\xc1\\x85!\\x0cH\\xbb3x\\x00\\xc9@\\x86 \\xb0h(\\x90\\x17\\xc0\\xe0\\x03\\x94\\xf1\\xd0T\\x08\\xc9\\xe2r\\r\\xe1\\x02\\x00\\xa3\\x7f\\x15\\xea\\r\\nendstream\\nendobj\\n61 0 obj\\n<<\\n/Length 119\\n/Filter /FlateDecode\\n>>\\nstream\\r\\nx\\x9cE\\xcaK\\n\\xc30\\x0cE\\xd1\\xb9V\\xa1\\x15\\xc4\\xcf\\x8aU{\\x10\\nN\\x7f\\xe3\\x16\\xed\\xc08\\x90@G\\x81\\xae\\xbfn\\x93R\\xc4\\x83\\xcbAw\\x1a\\x8d\\xdcUX\\xd9&r\\xe7\\xfa\\x9aK}\\xdcF.+\\x81?\\xb7\\x16\\xf2\\xdf\\xf0\\xec\\xb5\\xef\\x10\\x91\\x12\\xcbA:A\\x88\\x81\\xedI\\x03\\xa0}\\x9b\\x02\\xe1\\x04\\xe4\\xbcw\\x02\\xd0<\\xc4\\x7f\\xff\\\\\\x9b\\xa9\\xb4\\xa5\\xcd\\xd4\\xef\\xae\\xdb_\\x96#\\xdbB\\x17\\xa37\\xf0\\xa0!\\x9f\\r\\nendstream\\nendobj\\n62 0 obj\\n<<\\n/Length 110\\n/Filter /FlateDecode\\n>>\\nstream\\r\\nx\\x9c\\x0b\\xe4r\\n\\xe1\\xd2w3R0S\\x08I\\xe3\\xd2wI-\\xcbLN\\rrwRH.\\xe62P\\x00\\xc1\\xe2d.C0\\xc3P\\xc1\\xc8\\xd0L\\xcf\\xc2\\xd4\\xc0D\\xc1\\xc8\\xcc\\\\\\xcf\\xc2\\xdc\\xc4\\xc0H!$\\x97K\\x83A\\x95!\\x94\\xc1\\x87\\xc1\\x83\\xc1\\x13\\x88\\x03\\x19\\xc2\\x19\\xbc\\x80\\xb4?\\x90ffp\\x05\\xb2b\\x19\\\\\\x18\\xbcA|M\\x85\\x90,.\\xd7\\x10.\\x00\\x89\\x1b\\x16;\\r\\nendstream\\nendobj\\n63 0 obj\\n<<\\n/Length 103\\n/Filter /FlateDecode\\n>>\\nstream\\r\\nx\\x9c\\x1d\\x88A\\n\\x830\\x10E\\xf7s\\x8a9A\\xfc\\x99\\xc4\\xa4B)\\x18\\xdb\\xbaV\\xe6\\x06!\\x05\\x0b]\\t\\x9e\\xbf\\xa3|\\x1e\\xef\\xf1\\x17*J\\xdd[8\\xb1~\\xa8{\\xb6c\\xabm\\x9d\\x0b\\xd7\\x9d\\xc0\\xe7\\xf6J\\xfe\\n\\xcf\"\\x83KH\\xc1*\\xc1\\xe5[\\x8e\\x9e\\xf5Gw \\x04\\xa0\\x17\\xa372\\xec0\\x1b1\\x9a\\'`,\\x0f\\xd6/\\xbd\\x94\\xfe\\x89_\\x18&\\r\\nendstream\\nendobj\\n64 0 obj\\n<<\\n/Length 107\\n/Filter /FlateDecode\\n>>\\nstream\\r\\nx\\x9c\\x0b\\xe4r\\n\\xe1\\xd2w3R0U\\x08I\\xe3\\xd2wI-\\xcbLN\\rrwRH.\\xe62P\\x00\\xc1\\xe2d.C0\\xc3P\\xc1\\xc8\\xc8T\\xcf\\xd8\\xd4\\xc4\\xd8D\\xc1\\xc8\\xd4H\\xcf\\xc8\\xc2\\xd8\\xc4B!$\\x97K\\x83A\\x92A\\x98A\\x82A\\x1c\\x08\\x99\\x19b4\\x19B\\x19\\\\\\x18\\x02\\x19\\xfc\\x18<\\x19\"\\x80\\xecpM\\x85\\x90,.\\xd7\\x10.\\x00\\xc1\\xc5\\x14H\\r\\nendstream\\nendobj\\n65 0 obj\\n<<\\n/Length 95\\n/Filter /FlateDecode\\n>>\\nstream\\r\\nx\\x9c\\x0b\\xe4r\\n\\xe1\\xd2w3R0U\\x08I\\xe3\\xd2wI-\\xcbLN\\rrwRH.\\xe62P\\x00\\xc1\\xe2d.C0\\xc3P\\xc1\\xc8\\xd8P\\xcf\\xdc\\xd8\\xc8\\xc8B\\xc1\\xc8\\xc4L\\xcf\\xcc\\xd0\\xc4\\xd0B!$\\x97K\\x83A\\x85\\xc1\\x1f\\x08=\\x18\\x02\\x18\\\\\\x18\\xbc\\x18\\x02\\x19<4\\x15B\\xb2\\xb8\\\\C\\xb8\\x00\\xe27\\x13H\\r\\nendstream\\nendobj\\n66 0 obj\\n<<\\n/Length 104\\n/Filter /FlateDecode\\n>>\\nstream\\r\\nx\\x9c\\x0b\\xe4r\\n\\xe1\\xd2w3R\\xb0P\\x08I\\xe3\\xd2wI-\\xcbLN\\rrwRH.\\xe62P\\x00\\xc1\\xe2d.C0\\xc3P\\xc1\\xd0\\xd4X\\xcf\\xc0\\xdc\\xc0\\xc2B\\xc1\\xc8\\xd4H\\xcf\\xc8\\xc2\\xd8\\x04\\xa8+\\x97K\\x83\\xc1\\x98!\\x88!\\x8c!\\x9c\\xc1\\x93\\xc1\\x85\\xc1\\x8d\\xc1\\x9b\\x81\\x99A\\x8aA\\x82A\\x86ATS!$\\x8b\\xcb5\\x84\\x0b\\x00tb\\x13\\x86\\r\\nendstream\\nendobj\\n67 0 obj\\n<<\\n/Length 107\\n/Filter /FlateDecode\\n>>\\nstream\\r\\nx\\x9c\\x0b\\xe4r\\n\\xe1\\xd2w3R0U\\x08I\\xe3\\xd2wI-\\xcbLN\\rrwRH.\\xe62P\\x00\\xc1\\xe2d.C0\\xc3P\\xc1\\xd0\\xd4X\\xcf\\xc0\\xdc\\xc0\\xc2B\\xc1\\xc8\\xc4T\\xcf\\xd0\\xd2\\xcc\\x02\\xa8+\\x97K\\x83A\\x8cA\\x92A\\x94A\\x1cH33\\x182\\xf80x0\\xb8\\x03q(\\x83\\x0bC\\x04\\x83?\\x83\\x8b\\xa6BH\\x16\\x97k\\x08\\x17\\x00\\xd0\\x16\\x14\\x1f\\r\\nendstream\\nendobj\\n68 0 obj\\n<<\\n/Length 94\\n/Filter /FlateDecode\\n>>\\nstream\\r\\nx\\x9c\\x0b\\xe4r\\n\\xe1\\xd2w3R0U\\x08I\\xe3\\xd2wI-\\xcbLN\\rrwRH.\\xe62P\\x00\\xc1\\xe2d.C0\\xc3P\\xc1\\xd0\\xd4X\\xcf\\xc0\\xdc\\xc0\\xc2B\\xc1\\xc8\\xd8R\\xcf\\xd4\\xc8\\xdc\\xd4\\\\!$\\x97K\\x83A\\x8b\\xc1\\x83!\\x94!\\x80\\xc1\\x85!\\x90!&FS!$\\x8b\\xcb5\\x84\\x0b\\x00\\xaf\\xa7\\x137\\r\\nendstream\\nendobj\\n69 0 obj\\n<<\\n/Length 53\\n/Filter /FlateDecode\\n>>\\nstream\\r\\nx\\x9c\\x0b\\xe424\\xb1\\xd437\\xb2\\xb00R022\\xd6\\xb34670T04\\xb2\\xd4\\xb3\\xb4\\xb006Q\\xb0\\xd0350\\xb64Q(J\\xe5J\\xe3\\x02\\x00\\xcbR\\t\\x12\\r\\nendstream\\nendobj\\n70 0 obj\\n<<\\n/Length 99\\n/Filter /FlateDecode\\n>>\\nstream\\r\\nx\\x9c\\x0b\\xe4r\\n\\xe1\\xd2w3R\\xb0P\\x08I\\xe3\\xd2wI-\\xcbLN\\rrwRH.\\xe62P\\x00\\xc1\\xe2d.C0\\xc3P\\xc1\\xc8R\\xcf\\xdc\\xcc\\xd8\\xdcB\\xc1\\xc8\\xd0D\\xcf\\xc2\\xcc\\xcc\\xd0T!$\\x97K\\x83\\xc1\\x97!\\x88!\\x8c!\\x82\\xc1\\x83\\x81\\x99!\\x9c\\xc1\\x87!\\x16\\xc8\\x0f\\xd4T\\x08\\xc9\\xe2r\\r\\xe1\\x02\\x00!\\xa0\\x13\\xe4\\r\\nendstream\\nendobj\\n71 0 obj\\n<<\\n/Length 118\\n/Filter /FlateDecode\\n>>\\nstream\\r\\nx\\x9c\\x0b\\xe4r\\n\\xe1\\xd2w3R\\xb0P\\x08I\\xe3\\xd2wI-\\xcbLN\\rrwRH.\\xe62P\\x00\\xc1\\xe2d.C0\\xc3P\\xc1\\xc8R\\xcf\\xdc\\xcc\\xd8\\xdcB\\xc1\\xc8\\xc0D\\xcf\\xc0\\xd2\\xc4T!$\\x97K\\x83!\\x9c!\\x94\\xc1\\x85!\\x92\\xc1\\x83!\\x8c\\xc1\\x07\\xc8b\\x06\\xb2}\\x18\\xbc\\x18\\x82\\x80,Q\\x061 \\x04\\xd1\\xfc@\\xd2\\x10(\\x16\\x08T\\xc7\\xaf\\xa9\\x10\\x92\\xc5\\xe5\\x1a\\xc2\\x05\\x00T\\xfc\\x15\\xc4\\r\\nendstream\\nendobj\\n72 0 obj\\n<<\\n/Length 98\\n/Filter /FlateDecode\\n>>\\nstream\\r\\nx\\x9c\\x0b\\xe4r\\n\\xe1\\xd2w3R\\xb0P\\x08I\\xe3\\xd2wI-\\xcbLN\\rrwRH.\\xe62P\\x00\\xc1\\xe2d.C0\\xc3P\\xc1\\xc8R\\xcf\\xdc\\xcc\\xd8\\xdcB\\xc1\\xd0\\xd2X\\xcf\\xd8\\xc8\\xc8\\xc2X!$\\x97K\\x83A\\x8cA\\x92A\\x94A\\x98A\\x8a\\x81\\x99\\xc1\\x92A\\x87A\\x8b\\xc1HS!$\\x8b\\xcb5\\x84\\x0b\\x00\\xd9\\xc4\\x11\\xdc\\r\\nendstream\\nendobj\\n73 0 obj\\n<<\\n/Length 88\\n/Filter /FlateDecode\\n>>\\nstream\\r\\nx\\x9c\\x0b\\xe4r\\n\\xe1\\xd2w3R\\xb0P\\x08I\\xe3\\xd2wI-\\xcbLN\\rrwRH.\\xe62P\\x00\\xc1\\xe2d.C0\\xc3P\\xc1\\xc8R\\xcf\\xdc\\xcc\\xd8\\xdcB\\xc1\\xd0\\xc2H\\xcf\\xd4\\xd4\\xd0\\xd0R!$\\x97K\\x83\\xc1\\x8c\\xc1\\x98A\\x85A\\x87\\xc1PS!$\\x8b\\xcb5\\x84\\x0b\\x00<\\xe4\\x11\\x92\\r\\nendstream\\nendobj\\n74 0 obj\\n<<\\n/Length 57\\n/Filter /FlateDecode\\n>>\\nstream\\r\\nx\\x9c\\x0b\\xe4*\\xe422\\xd5354\\xb40T0\\x00B8\\xc7\\xd0D\\xcf\\xd0\\xdc\\xd8\\xc8X\\xc1\\xd0\\xd0R\\xcf\\xd2\\xc0\\xd4\\xd4P!9\\x97K\\xdf3\\xd7P\\xc1%\\x9f+\\x90\\x0b\\x00L\\x19\\x0b\\xa9\\r\\nendstream\\nendobj\\n75 0 obj\\n<<\\n/Length 82\\n/Filter /FlateDecode\\n>>\\nstream\\r\\nx\\x9c\\x0b\\xe4r\\n\\xe1\\xd2w3R0S\\x08I\\xe3\\xd2wI-\\xcbLN\\rrwRH.\\xe62P\\x00\\xc1\\xe2d.C0\\xc3P\\xc1\\xc8H\\xcf\\xcc\\xdc\\xdc\\xd0\\\\\\xc1\\xd0\\xc8B\\xcf\\xd2\\xdc\\xcc\\xd8B!$\\x97K\\x83A\\x8fAKS!$\\x8b\\xcb5\\x84\\x0b\\x00\\xd9\\xb2\\x11\\x00\\r\\nendstream\\nendobj\\n76 0 obj\\n<<\\n/Length 86\\n/Filter /FlateDecode\\n>>\\nstream\\r\\nx\\x9c\\x0b\\xe4r\\n\\xe1\\xd2w3R0S\\x08I\\xe3\\xd2wI-\\xcbLN\\rrwRH.\\xe62P\\x00\\xc1\\xe2d.C0\\xc3P\\xc1\\xd0R\\xcf\\xc2\\xc4\\xc8\\xd4H\\xc1\\xd0\\xc8X\\xcf\\xd8\\xc0\\xdc\\xc0R!$\\x97K\\x83A\\x94A\\x90A\\x98AXS!$\\x8b\\xcb5\\x84\\x0b\\x00\\x13\\xbf\\x10\\xe0\\r\\nendstream\\nendobj\\n77 0 obj\\n<<\\n/Length 57\\n/Filter /FlateDecode\\n>>\\nstream\\r\\nx\\x9c\\x0b\\xe4*\\xe422\\xd5354\\xb40T0\\x00B8\\xc7\\xd4X\\xcf\\xc2\\xd4\\xc2\\xc8\\\\\\xc1\\xd0\\xd0R\\xcf\\xd2\\xc0\\xd4\\xd4P!9\\x97K\\xdf3\\xd7H\\xc1%\\x9f+\\x90\\x0b\\x00M\\xff\\x0b\\xbb\\r\\nendstream\\nendobj\\n78 0 obj\\n<<\\n/Length 57\\n/Filter /FlateDecode\\n>>\\nstream\\r\\nx\\x9c\\x0b\\xe4*\\xe422\\xd5354\\xb40T0\\x00B8\\xc7\\xd2X\\xcf\\xd4\\xc4\\xd8\\xd8P\\xc1\\xd0\\xd0R\\xcf\\xd2\\xc0\\xd4\\xd4P!9\\x97K\\xdf3\\xd7X\\xc1%\\x9f+\\x90\\x0b\\x00M\\x10\\x0b\\xb2\\r\\nendstream\\nendobj\\n79 0 obj\\n<<\\n/Length 65\\n/Filter /FlateDecode\\n>>\\nstream\\r\\nx\\x9c\\x0b\\xe4*\\xe423\\xd236322T0\\x00B#S=SCC\\x0bC\\x05#C#=SK\\x0b\\x13c\\x05CSc=\\x03s\\x03\\x0b\\x0b\\x85\\xe4\\\\.}\\xcf\\\\\\x13\\x05\\x97|\\xae@.\\x00Xx\\x0b\\xe9\\r\\nendstream\\nendobj\\n80 0 obj\\n<<\\n/Length 104\\n/Filter /FlateDecode\\n>>\\nstream\\r\\nx\\x9c%\\xc6A\\n\\x83@\\x0c\\x85\\xe1}N\\x91\\x13\\xe8\\xcb4j\\x04)t\\xb0\\xedZ\\xc9\\r\\x06\\x05\\x05W\\x03=\\xbfc\\xe5\\xf1\\xf1\\xbf\\x89\\xa2S\\xfd\\x116\\xf6\\x95\\xeaq\\xf9mi\\x99\\xbf\\x91S&\\xf0\\xb5\\x9cH\\xfeGX\\xa4\\xadB\\x80v,\\xd0\\xcaL\\xacg?h\\x00\\x1e\\r\\xa0V\\xb4@\\x13\\n\\xdcTK\\xa5\\xb4\\x03^\\xf1\\xc9\\xbe\\xd3\\xdb\\xe9\\x04\\xe9j\\x18\\xdf\\r\\nendstream\\nendobj\\n81 0 obj\\n<<\\n/Length 51\\n/Filter /FlateDecode\\n>>\\nstream\\r\\nx\\x9c\\x0b\\xe4*\\xe42\\xb44P\\x00As\\x13\\x05s\\x03=\\x0b33C\\x13\\x05##=3ssCs\\x85\\xe4\\\\.}\\xcf\\\\S\\x05\\x97|\\xae@.\\x00\\xd3V\\td\\r\\nendstream\\nendobj\\n82 0 obj\\n<<\\n/Length 106\\n/Filter /FlateDecode\\n>>\\nstream\\r\\nx\\x9c\\x0b\\xe4r\\n\\xe1\\xd2w3R\\xb0P\\x08I\\xe3\\xd2wI-\\xcbLN\\rrwRH.\\xe62P\\x00\\xc1\\xe2d.C0\\xc3P\\xc1\\xd0\\xc0D\\xcf\\xc2\\xc2\\xd0\\xc2R\\xc1T\\xcf\\xcc\\xcc\\xd2\\xc8R!$\\x97K\\x83\\xc1\\x94\\xc1\\x9a\\x81\\x99A\\x9aA\\x98A\\x1cH\\x8b0\\x882\\x88\\x01i\\x19 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      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pdf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [],
   "source": [
    "with open(\"test.pdf\", \"wb\") as f:\n",
    "    f.write(label)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "def add_items_dhl():\n",
    "    sheet_id = \"Your Sheet ID\"\n",
    "    sheets = Sheets()\n",
    "    drive = DriveDev()\n",
    "    dhl_client = DHL_GM()\n",
    "    print(\"Getting Orders data from sheet\")\n",
    "    orders = sheets.get_spreadsheet(sheet_id, range='A2:AI')\n",
    "    print(\"orders\")\n",
    "    df = pd.DataFrame(orders)\n",
    "    df = df.rename(columns=df.iloc[0]).drop(df.index[0])\n",
    "    df['Weight (kg)'] = df['Weight (kg)'].apply(utils.convert_weight) * 1000\n",
    "    df['listing price (EUR)'] = df['listing price (EUR)'].apply(utils.convert_listing_price).astype(float)\n",
    "    df['total_items (EUR)'] = df['total_items (EUR)'].apply(utils.convert_listing_price).astype(float)\n",
    "    item_rows = df[\n",
    "        (df['Carrier'] == \"DHL Global Mail\") & (df['Create Shipment'] == \"TRUE\") & (df['Validation'] == \"FALSE\")]\n",
    "    if not item_rows.empty:\n",
    "        print(\"Loaded Data for items\")\n",
    "    else:\n",
    "        print(df)\n",
    "        print(\"No item rows found for the dataframe below\")\n",
    "        return\n",
    "    dhl_client.get_access_token()\n",
    "    item_ids = []\n",
    "    item_barcodes = []\n",
    "    for idx, item in item_rows.iterrows():\n",
    "        row_number = idx + 2\n",
    "        print(f\"Item in row number: {row_number}\")\n",
    "        try:\n",
    "            sheets.update_spreadsheet(f'Orders!AN{row_number}', \"\", sheet_id)\n",
    "            item_content = df[df['order_id'] == item['order_id']]\n",
    "            service = \"GPT\" if \"GPT\" in item['Suggested Shipment Type'] else \"GPP\"\n",
    "            print(f\"Service type is {service}\")\n",
    "            dhl_client.get_access_token()\n",
    "            item_details = dhl_client.create_single_item(item_content, product=service)\n",
    "            item_barcode = item_details.get('barcode')\n",
    "            item_id = item_details.get('id')\n",
    "            # recipient = item_details.get('recipient').upper().replace(\" \", \"_\")\n",
    "            cleaned_recipient = ''.join(c for c in item_details.get('recipient') if c.isalnum() or c.isspace())\n",
    "            recipient = cleaned_recipient.upper().replace(\" \", \"_\")\n",
    "            print(f\"Recipient is {recipient}\")\n",
    "            print(item_details)\n",
    "            return\n",
    "            if item_barcode:\n",
    "                item_barcodes.append(item_barcode)\n",
    "                sheets.update_spreadsheet(f'Orders!AK{row_number}', item_barcode, sheet_id)\n",
    "                tracking_link = dhl_client.get_tracking_link(item_barcode)\n",
    "                _update_order_info(item_barcode, row_number, sheets, sheet_id, tracking_link)\n",
    "                _update_carrier_name(item, row_number, sheets, sheet_id)\n",
    "                label = dhl_client.get_label_for_item(item_barcode)\n",
    "                if label:\n",
    "                    print(f\"Adding labels for {item_barcode}\")\n",
    "                    label_filename = f\"DHLGMLabels_{item_barcode}_{datetime.datetime.now().strftime('%Y-%m-%d')}\"\n",
    "                    file_id = drive.upload_shipping_label(label,label_filename)\n",
    "                if not file_id:\n",
    "                    sheets.update_spreadsheet(f'Orders!AN{row_number}',\n",
    "                                              f\"Label not found. ID:Barcode:{item_id}:{item_barcode}\",\n",
    "                                              sheet_id)\n",
    "                else:\n",
    "                    sheets.add_formula(row_number, row_number, 37, 38,\n",
    "                                       f\"\"\"=HYPERLINK(\"https://drive.google.com/file/d/{file_id}\", \"Get slip\")\"\"\",\n",
    "                                       sheet_id=sheet_id)\n",
    "                    print(\"Shipping label uploaded successfully to Google Drive folder.\")\n",
    "            else:\n",
    "                print(f\"Barcode not found for {row_number}\")\n",
    "                sheets.update_spreadsheet(f'Orders!AK{row_number}', \"Not Found\", sheet_id)\n",
    "            if item_id:\n",
    "                item_ids.append(item_id)\n",
    "            else:\n",
    "                print(\"Item id not found\")\n",
    "        except Exception as e:\n",
    "            print(traceback.format_exc())\n",
    "            sheets.update_spreadsheet(f'Orders!AN{row_number}', str(e), sheet_id)\n",
    "    print(f\"Item IDs: {item_ids}\")\n",
    "    print(f\"Barcode: {item_barcodes}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "add_items_dhl()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "def create_dhl_order():\n",
    "    sheet_id = \"Your Sheet ID\"\n",
    "    sheets = Sheets()\n",
    "    drive = DriveDev()\n",
    "    dhl_client = DHL_GM()\n",
    "    print(\"Getting Orders data from sheet\")\n",
    "    orders = sheets.get_spreadsheet(sheet_id, range='A2:AK')\n",
    "    print(\"orders\")\n",
    "    df = pd.DataFrame(orders)\n",
    "    df = df.rename(columns=df.iloc[0]).drop(df.index[0])\n",
    "    print(df)\n",
    "    item_rows = df[(df['Carrier'] == \"DHL Global Mail\") & (df['Create Shipment'] == \"TRUE\") & (df['Validation'] == \"TRUE\") & (df['Tracking ID'].notnull()) & (df[\"Registered Store\"] == \"FALSE\")]\n",
    "    if not item_rows.empty:\n",
    "        print(\"Loaded Data for items\")\n",
    "    else:\n",
    "        print(df)\n",
    "        print(\"No item rows found for the dataframe below\")\n",
    "        return\n",
    "    dhl_client.get_access_token()\n",
    "    chunk_size = 5\n",
    "    num_rows = len(item_rows)\n",
    "    for start in range(0, num_rows, chunk_size):\n",
    "        end = start + chunk_size\n",
    "        order_items = item_rows[start:end]\n",
    "        row_numbers = order_items.index.to_list()\n",
    "        row_numbers = [x+2 for x in row_numbers]\n",
    "        try:\n",
    "            item_barcodes = order_items['Tracking ID'].tolist()\n",
    "            message, order = dhl_client.create_order_from_barcodes(item_barcodes)\n",
    "            if message:\n",
    "                raise Exception(message)\n",
    "            awb = order.get(\"shipments\")[0].get(\"awb\")\n",
    "            label = dhl_client.get_awb_label(awb)\n",
    "            file_id = None\n",
    "            if label:\n",
    "                print(f\"Adding label for {awb}\")\n",
    "                label_filename = f\"DHLGMLabels_{awb}_{datetime.datetime.now().strftime('%Y-%m-%d')}\"\n",
    "                file_id = drive.upload_shipping_label(label, label_filename)\n",
    "                print(f\"Shipping label uploaded successfully to Google Drive folder for {file_id}\")\n",
    "            if not file_id:\n",
    "                for row_number in row_numbers:\n",
    "                    sheets.update_spreadsheet(f'Orders!AN{row_number}',\n",
    "                                          f\"Label not found. AWB:{awb}\",\n",
    "                                          sheet_id)\n",
    "            else:\n",
    "                for row_number in row_numbers:\n",
    "                    sheets.add_formula(row_number, row_number, 39, 40,\n",
    "                                   f\"\"\"=HYPERLINK(\"https://drive.google.com/file/d/{file_id}\", \"AWB\")\"\"\",\n",
    "                                   sheet_id=sheet_id)\n",
    "                print(f\"Shipping label hyperlinked\")\n",
    "        except Exception as e:\n",
    "            print(traceback.format_exc())\n",
    "            for row_number in row_numbers:\n",
    "                sheets.update_spreadsheet(f'Orders!AN{row_number}', str(e), sheet_id)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "def create_dhl_gm_awb():\n",
    "    sheet_id = \"Your Sheet ID\"\n",
    "    sheets = Sheets()\n",
    "    drive = DriveDev()\n",
    "    dhl_client = DHL_GM()\n",
    "    print(\"Getting Orders data from sheet\")\n",
    "    orders = sheets.get_spreadsheet(sheet_id, range='A2:AK')\n",
    "    print(\"orders\")\n",
    "    df = pd.DataFrame(orders)\n",
    "    df = df.rename(columns=df.iloc[0]).drop(df.index[0])\n",
    "    print(df)\n",
    "    item_rows = df[(df['Carrier'] == \"DHL Global Mail\") & (df['Create Shipment'] == \"TRUE\") & (df['Validation'] == \"TRUE\") & (df['Tracking ID'].notnull()) & (df[\"Registered Store\"] == \"FALSE\")]\n",
    "    if not item_rows.empty:\n",
    "        print(\"Loaded Data for items\")\n",
    "    else:\n",
    "        print(df)\n",
    "        print(\"No item rows found for the dataframe below\")\n",
    "        return\n",
    "    dhl_client.get_access_token()\n",
    "    # chunk_size = 5\n",
    "    num_rows = len(item_rows)\n",
    "    # for start in range(0, num_rows, chunk_size):\n",
    "        # end = start + chunk_size\n",
    "    order_items = item_rows #item_rows[start:end]\n",
    "    row_numbers = order_items.index.to_list()\n",
    "    row_numbers = [x+2 for x in row_numbers]\n",
    "    try:\n",
    "            item_barcodes = order_items['Tracking ID'].tolist()\n",
    "            print('item_barcodes')\n",
    "            print(item_barcodes)\n",
    "            \n",
    "            barcodes_for_awb = \"_\".join(item_barcodes)\n",
    "            print(barcodes_for_awb)\n",
    "            message, order = dhl_client.create_order_from_barcodes(item_barcodes)\n",
    "            if message:\n",
    "                raise Exception(message)\n",
    "            awb = order.get(\"shipments\")[0].get(\"awb\")\n",
    "            label = dhl_client.get_awb_label(awb)\n",
    "            file_id = None\n",
    "            if label:\n",
    "                print(f\"Adding label for {awb}\")\n",
    "                label_filename = f\"DHLGMLabels_{awb}_BARCODES_{barcodes_for_awb}_{datetime.datetime.now().strftime('%Y-%m-%d')}\"\n",
    "                file_id = drive.upload_shipping_label(label, label_filename)\n",
    "                print(f\"Shipping label uploaded successfully to Google Drive folder for {file_id}\")\n",
    "            if not file_id:\n",
    "                for row_number in row_numbers:\n",
    "                    sheets.update_spreadsheet(f'Orders!AN{row_number}',\n",
    "                                          f\"Label not found. AWB:{awb}\",\n",
    "                                          sheet_id)\n",
    "            else:\n",
    "                for row_number in row_numbers:\n",
    "                    sheets.add_formula(row_number, row_number, 39, 40,\n",
    "                                   f\"\"\"=HYPERLINK(\"https://drive.google.com/file/d/{file_id}\", \"AWB\")\"\"\",\n",
    "                                   sheet_id=sheet_id)\n",
    "                print(f\"Shipping label hyperlinked\")\n",
    "    except Exception as e:\n",
    "            print(traceback.format_exc())\n",
    "            for row_number in row_numbers:\n",
    "                sheets.update_spreadsheet(f'Orders!AN{row_number}', str(e), sheet_id)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "create_dhl_gm_awb()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "from dhl.dhl_express import Dhl"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "def book_courier():\n",
    "    sheet_id = \"Your Sheet ID\"\n",
    "    sheets = Sheets()\n",
    "    drive = DriveDev()\n",
    "    dhl_client = Dhl()\n",
    "    print(\"Getting Orders data from sheet\")\n",
    "    orders = sheets.get_spreadsheet(sheet_id, range='A2:AN')\n",
    "    print(\"orders\")\n",
    "    df = pd.DataFrame(orders)\n",
    "    df = df.rename(columns=df.iloc[0]).drop(df.index[0])\n",
    "    df['Weight (kg)'] = df['Weight (kg)'].apply(utils.convert_weight)\n",
    "    error = sheets.get_spreadsheet_with_formulas(sheet_id, range='AN2:AN')\n",
    "    print(error)\n",
    "    order_rows = df[\n",
    "        (df['Carrier'] == \"DHL Global Mail\") & (df['Create Shipment'] == \"TRUE\") & (df['Validation'] == \"TRUE\") & (\n",
    "            df['Tracking ID'].notnull()) & (df[\"Registered Store\"] == \"FALSE\")]\n",
    "    if not order_rows.empty:\n",
    "        print(\"Loaded Data for items\")\n",
    "    else:\n",
    "        print(df)\n",
    "        print(\"No item rows found for the dataframe below\")\n",
    "        return\n",
    "    weight = 0.00\n",
    "    row_numbers = order_rows.index.to_list()\n",
    "    row_numbers = [x+2 for x in row_numbers]\n",
    "    for idx, item in order_rows.iterrows():\n",
    "        item_content = df[df[\"order_id\"] == item['order_id']]\n",
    "        row_number = idx + 2\n",
    "        print(row_number)\n",
    "        print(error[idx][0].replace(\"AWB\", \"AAA\"))\n",
    "        weight = weight + item_content['Weight (kg)'].sum()\n",
    "    weight = float(format(weight, '.2f'))\n",
    "    courier_details = dhl_client.book_courier(weight)\n",
    "    confirmation = courier_details.get(\"dispatchConfirmationNumbers\")[0]\n",
    "    for row_number in row_numbers:\n",
    "        new_cell = error[idx][0].replace(\"AWB\", f\"AWB for {confirmation}\")\n",
    "        sheets.add_formula(row_number, row_number, 39, 40,\n",
    "                                   f\"\"\"{new_cell}\"\"\",\n",
    "                                   sheet_id=sheet_id)\n",
    "    return courier_details"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "courier_details = book_courier()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "print(courier_details)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "courier_details.get(\"dispatchConfirmationNumbers\")[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "def book_courier():\n",
    "    sheet_id = \"UPDATE_SHEET_ID\"\n",
    "    sheets = Sheets()\n",
    "    drive = Drive()\n",
    "    dhl_client = Dhl()\n",
    "    print(\"Getting Orders data from sheet\")\n",
    "    orders = sheets.get_spreadsheet(sheet_id, range='A2:AN')\n",
    "    print(\"orders\")\n",
    "    df = pd.DataFrame(orders)\n",
    "    df = df.rename(columns=df.iloc[0]).drop(df.index[0])\n",
    "    df['Weight (kg)'] = df['Weight (kg)'].apply(utils.convert_weight)\n",
    "    error = sheets.get_spreadsheet_with_formulas(sheet_id, range='AN2:AN')\n",
    "    print(error)\n",
    "    order_rows = df[\n",
    "        (df['Carrier'] == \"DHL Global Mail\") & (df['Create Shipment'] == \"TRUE\") & (df['Validation'] == \"TRUE\") & (\n",
    "            df['Tracking ID'].notnull()) & (df[\"Registered Store\"] == \"FALSE\")]\n",
    "    if not order_rows.empty:\n",
    "        print(\"Loaded Data for items\")\n",
    "    else:\n",
    "        print(df)\n",
    "        print(\"No item rows found for the dataframe below\")\n",
    "        return\n",
    "    weight = 0.00\n",
    "    row_numbers = order_rows.index.to_list()\n",
    "    row_numbers = [x+2 for x in row_numbers]\n",
    "    for idx, item in order_rows.iterrows():\n",
    "        item_content = df[df[\"order_id\"] == item['order_id']]\n",
    "        row_number = idx + 2\n",
    "        print(row_number)\n",
    "        print(error[idx][0].replace(\"AWB\", \"AAA\"))\n",
    "        weight = weight + item_content['Weight (kg)'].sum()\n",
    "    weight = float(format(weight, '.2f'))\n",
    "    courier_details = dhl_client.book_courier(weight)\n",
    "    confirmation = courier_details.get(\"dispatchConfirmationNumbers\")[0]\n",
    "    for row_number in row_numbers:\n",
    "        new_cell = error[idx][0].replace(\"AWB\", f\"AWB for {confirmation}\")\n",
    "        sheets.add_formula(row_number, row_number, 39, 40,\n",
    "                                   f\"\"\"{new_cell}\"\"\",\n",
    "                                   sheet_id=sheet_id)\n",
    "    return courier_details"
   ]
  }
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