{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "d6bc6a6d-2454-4222-a1ed-1b06bb7b95d1",
   "metadata": {},
   "outputs": [],
   "source": [
    "import sys\n",
    "from pathlib import Path\n",
    "project_root = \"/home/velocitatem/Documents/Projects/PHANTOM/experiments\"\n",
    "if str(Path.cwd().parent if 'notebooks' in str(Path.cwd()) else Path.cwd()) not in sys.path:\n",
    "  sys.path.insert(0, str(project_root))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "6926d0a1-02f2-47c1-b927-6b5bd28ae8cc",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "a48f6ab9-46bf-4553-8489-f5ecb58f8d7c",
   "metadata": {},
   "outputs": [],
   "source": [
    "from procesing.steps import (\n",
    "    FetchInteractionsStep,\n",
    "    FetchPriceLogsStep,\n",
    "    FetchExperimentsStep,\n",
    "    JoinExperimentsStep,\n",
    "    CreatePriceBucketsStep,\n",
    "    AugmentEventNamesStep,\n",
    "    ChunkByTimeWindowStep,\n",
    "    ComputeDemandForChunksStep,\n",
    "    AggregatePriceLogsStep,\n",
    "    ComputeElasticityStep,\n",
    "    FitPricingFunctionStep,\n",
    "    PredictPricesStep,\n",
    ")\n",
    "from procesing.context import PipelineContext\n",
    "from procesing.providers import SupabaseProvider, BackendAPIProvider"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "bb7ebdfb-432e-4cf6-b0ee-dc030107ebc5",
   "metadata": {},
   "outputs": [],
   "source": [
    "class Provider(SupabaseProvider, BackendAPIProvider):\n",
    "    def __init__(self, backend_url: str):\n",
    "        SupabaseProvider.__init__(self)\n",
    "        BackendAPIProvider.__init__(self, backend_url=backend_url)\n",
    "# example run\n",
    "context = PipelineContext(\n",
    "    provider=Provider(backend_url=\"http://localhost:5000\"),\n",
    "    store_mode='hotel',\n",
    "    window_size='15min',\n",
    "\n",
    ")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "587b1fdc-30f4-4ee0-b603-7a54b8bed5eb",
   "metadata": {},
   "outputs": [
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       "      <th>metadata_roomType</th>\n",
       "      <th>metadata_price</th>\n",
       "      <th>metadata_nights</th>\n",
       "      <th>metadata_total</th>\n",
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       "      <td>/hotel/products</td>\n",
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       "      <td>hotel</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>1200.0</td>\n",
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       "      <td>/hotel/products</td>\n",
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       "      <td>Mozilla/5.0 (X11; Linux x86_64; rv:145.0) Geck...</td>\n",
       "      <td>2025-11-25T20:21:19.496Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>price</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1202.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
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       "      <th>3</th>\n",
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       "      <td>None</td>\n",
       "      <td>hotel</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
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       "      <th>4</th>\n",
       "      <td>d423ce8a-77aa-4c9a-94d4-d1adddcc3472</td>\n",
       "      <td>None</td>\n",
       "      <td>learn_more_about_item</td>\n",
       "      <td>/hotel/products/d018efc1-25e9-4284-b276-80386e...</td>\n",
       "      <td>d018efc1-25e9-4284-b276-80386e048b25</td>\n",
       "      <td>hotel</td>\n",
       "      <td>Mozilla/5.0 (X11; Linux x86_64; rv:145.0) Geck...</td>\n",
       "      <td>2025-11-25T20:21:22.674Z</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>Junior Suite</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
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       "                              sessionId experimentId              eventName  \\\n",
       "0  d423ce8a-77aa-4c9a-94d4-d1adddcc3472         None              page_view   \n",
       "1  d423ce8a-77aa-4c9a-94d4-d1adddcc3472         None       hover_over_title   \n",
       "2  d423ce8a-77aa-4c9a-94d4-d1adddcc3472         None   hover_over_paragraph   \n",
       "3  d423ce8a-77aa-4c9a-94d4-d1adddcc3472         None              page_view   \n",
       "4  d423ce8a-77aa-4c9a-94d4-d1adddcc3472         None  learn_more_about_item   \n",
       "\n",
       "                                                page  \\\n",
       "0                                                  /   \n",
       "1                                    /hotel/products   \n",
       "2                                    /hotel/products   \n",
       "3  /hotel/products/d018efc1-25e9-4284-b276-80386e...   \n",
       "4  /hotel/products/d018efc1-25e9-4284-b276-80386e...   \n",
       "\n",
       "                              productId storeMode  \\\n",
       "0                                  None     hotel   \n",
       "1  d018efc1-25e9-4284-b276-80386e048b25     hotel   \n",
       "2  d018efc1-25e9-4284-b276-80386e048b25     hotel   \n",
       "3                                  None     hotel   \n",
       "4  d018efc1-25e9-4284-b276-80386e048b25     hotel   \n",
       "\n",
       "                                           userAgent  \\\n",
       "0  Mozilla/5.0 (X11; Linux x86_64; rv:145.0) Geck...   \n",
       "1  Mozilla/5.0 (X11; Linux x86_64; rv:145.0) Geck...   \n",
       "2  Mozilla/5.0 (X11; Linux x86_64; rv:145.0) Geck...   \n",
       "3  Mozilla/5.0 (X11; Linux x86_64; rv:145.0) Geck...   \n",
       "4  Mozilla/5.0 (X11; Linux x86_64; rv:145.0) Geck...   \n",
       "\n",
       "                         ts  \\\n",
       "0  2025-11-25T20:20:13.061Z   \n",
       "1  2025-11-25T20:21:17.425Z   \n",
       "2  2025-11-25T20:21:19.496Z   \n",
       "3  2025-11-25T20:21:21.922Z   \n",
       "4  2025-11-25T20:21:22.674Z   \n",
       "\n",
       "                                   metadata_referrer metadata_elementText  \\\n",
       "0                                                                     NaN   \n",
       "1                                                NaN         Junior Suite   \n",
       "2                                                NaN                price   \n",
       "3  http://localhost:3000/hotel/products?dateIndex...                  NaN   \n",
       "4                                                NaN                  NaN   \n",
       "\n",
       "   metadata_dateIndex  metadata_dwellTime metadata_type metadata_roomType  \\\n",
       "0                 NaN                 NaN           NaN               NaN   \n",
       "1                 1.0              1200.0           NaN               NaN   \n",
       "2                 1.0              1202.0           NaN               NaN   \n",
       "3                 NaN                 NaN           NaN               NaN   \n",
       "4                 1.0                 NaN         hotel      Junior Suite   \n",
       "\n",
       "   metadata_price  metadata_nights  metadata_total  metadata_itemCount  \\\n",
       "0             NaN              NaN             NaN                 NaN   \n",
       "1             NaN              NaN             NaN                 NaN   \n",
       "2             NaN              NaN             NaN                 NaN   \n",
       "3             NaN              NaN             NaN                 NaN   \n",
       "4             NaN              NaN             NaN                 NaN   \n",
       "\n",
       "   dateIndex  \n",
       "0       <NA>  \n",
       "1          1  \n",
       "2          1  \n",
       "3       <NA>  \n",
       "4          1  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df=FetchInteractionsStep(context).transform(None)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "45022876-30d9-4607-a10f-932df9b4dbda",
   "metadata": {},
   "outputs": [
    {
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       "      <td>hotel</td>\n",
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       "      <td>2025-11-25T20:21:19.496Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>price</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1202.0</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>learn_more_about_item</td>\n",
       "      <td>/hotel/products/d018efc1-25e9-4284-b276-80386e...</td>\n",
       "      <td>d018efc1-25e9-4284-b276-80386e048b25</td>\n",
       "      <td>hotel</td>\n",
       "      <td>Mozilla/5.0 (X11; Linux x86_64; rv:145.0) Geck...</td>\n",
       "      <td>2025-11-25T20:21:22.674Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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      ],
      "text/plain": [
       "                              sessionId experimentId              eventName  \\\n",
       "0  d423ce8a-77aa-4c9a-94d4-d1adddcc3472         None              page_view   \n",
       "1  d423ce8a-77aa-4c9a-94d4-d1adddcc3472         None       hover_over_title   \n",
       "2  d423ce8a-77aa-4c9a-94d4-d1adddcc3472         None   hover_over_paragraph   \n",
       "3  d423ce8a-77aa-4c9a-94d4-d1adddcc3472         None              page_view   \n",
       "4  d423ce8a-77aa-4c9a-94d4-d1adddcc3472         None  learn_more_about_item   \n",
       "\n",
       "                                                page  \\\n",
       "0                                                  /   \n",
       "1                                    /hotel/products   \n",
       "2                                    /hotel/products   \n",
       "3  /hotel/products/d018efc1-25e9-4284-b276-80386e...   \n",
       "4  /hotel/products/d018efc1-25e9-4284-b276-80386e...   \n",
       "\n",
       "                              productId storeMode  \\\n",
       "0                                  None     hotel   \n",
       "1  d018efc1-25e9-4284-b276-80386e048b25     hotel   \n",
       "2  d018efc1-25e9-4284-b276-80386e048b25     hotel   \n",
       "3                                  None     hotel   \n",
       "4  d018efc1-25e9-4284-b276-80386e048b25     hotel   \n",
       "\n",
       "                                           userAgent  \\\n",
       "0  Mozilla/5.0 (X11; Linux x86_64; rv:145.0) Geck...   \n",
       "1  Mozilla/5.0 (X11; Linux x86_64; rv:145.0) Geck...   \n",
       "2  Mozilla/5.0 (X11; Linux x86_64; rv:145.0) Geck...   \n",
       "3  Mozilla/5.0 (X11; Linux x86_64; rv:145.0) Geck...   \n",
       "4  Mozilla/5.0 (X11; Linux x86_64; rv:145.0) Geck...   \n",
       "\n",
       "                         ts  \\\n",
       "0  2025-11-25T20:20:13.061Z   \n",
       "1  2025-11-25T20:21:17.425Z   \n",
       "2  2025-11-25T20:21:19.496Z   \n",
       "3  2025-11-25T20:21:21.922Z   \n",
       "4  2025-11-25T20:21:22.674Z   \n",
       "\n",
       "                                   metadata_referrer metadata_elementText  \\\n",
       "0                                                                     NaN   \n",
       "1                                                NaN         Junior Suite   \n",
       "2                                                NaN                price   \n",
       "3  http://localhost:3000/hotel/products?dateIndex...                  NaN   \n",
       "4                                                NaN                  NaN   \n",
       "\n",
       "   metadata_dateIndex  metadata_dwellTime metadata_type metadata_roomType  \\\n",
       "0                 NaN                 NaN           NaN               NaN   \n",
       "1                 1.0              1200.0           NaN               NaN   \n",
       "2                 1.0              1202.0           NaN               NaN   \n",
       "3                 NaN                 NaN           NaN               NaN   \n",
       "4                 1.0                 NaN         hotel      Junior Suite   \n",
       "\n",
       "   metadata_price  metadata_nights  metadata_total  metadata_itemCount  \\\n",
       "0             NaN              NaN             NaN                 NaN   \n",
       "1             NaN              NaN             NaN                 NaN   \n",
       "2             NaN              NaN             NaN                 NaN   \n",
       "3             NaN              NaN             NaN                 NaN   \n",
       "4             NaN              NaN             NaN                 NaN   \n",
       "\n",
       "   dateIndex price_bucket  \n",
       "0       <NA>               \n",
       "1          1               \n",
       "2          1               \n",
       "3       <NA>               \n",
       "4          1               "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = CreatePriceBucketsStep(context).transform(df)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "720b9631-4350-425a-ad29-ded745ce28f9",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>sessionId</th>\n",
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       "      <th>eventName</th>\n",
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       "      <th>ts</th>\n",
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       "      <th>metadata_elementText</th>\n",
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       "      <th>metadata_type</th>\n",
       "      <th>metadata_roomType</th>\n",
       "      <th>metadata_price</th>\n",
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       "      <th>metadata_total</th>\n",
       "      <th>metadata_itemCount</th>\n",
       "      <th>dateIndex</th>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <th>79</th>\n",
       "      <td>c404dbe5-116f-42c0-b199-503516dbbe91</td>\n",
       "      <td>fd01774c-f629-4bcb-88b8-c818856af72a</td>\n",
       "      <td>page_view</td>\n",
       "      <td>/hotel/products</td>\n",
       "      <td>None</td>\n",
       "      <td>hotel</td>\n",
       "      <td>Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/53...</td>\n",
       "      <td>2025-11-29T18:13:53.858Z</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <th>80</th>\n",
       "      <td>d423ce8a-77aa-4c9a-94d4-d1adddcc3472</td>\n",
       "      <td>53aefd07-f66a-4d7f-ba8b-7ea1fc562d35</td>\n",
       "      <td>page_view</td>\n",
       "      <td>/hotel/products</td>\n",
       "      <td>None</td>\n",
       "      <td>hotel</td>\n",
       "      <td>Mozilla/5.0 (X11; Linux x86_64; rv:145.0) Geck...</td>\n",
       "      <td>2025-12-04T11:13:15.884Z</td>\n",
       "      <td></td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>d423ce8a-77aa-4c9a-94d4-d1adddcc3472</td>\n",
       "      <td>53aefd07-f66a-4d7f-ba8b-7ea1fc562d35</td>\n",
       "      <td>page_view</td>\n",
       "      <td>/hotel/products</td>\n",
       "      <td>None</td>\n",
       "      <td>hotel</td>\n",
       "      <td>Mozilla/5.0 (X11; Linux x86_64; rv:145.0) Geck...</td>\n",
       "      <td>2025-12-04T11:18:53.473Z</td>\n",
       "      <td></td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>d423ce8a-77aa-4c9a-94d4-d1adddcc3472</td>\n",
       "      <td>53aefd07-f66a-4d7f-ba8b-7ea1fc562d35</td>\n",
       "      <td>page_view</td>\n",
       "      <td>/hotel/products</td>\n",
       "      <td>None</td>\n",
       "      <td>hotel</td>\n",
       "      <td>Mozilla/5.0 (X11; Linux x86_64; rv:145.0) Geck...</td>\n",
       "      <td>2025-12-04T11:19:05.094Z</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
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       "</table>\n",
       "<p>5 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                               sessionId  \\\n",
       "78  c404dbe5-116f-42c0-b199-503516dbbe91   \n",
       "79  c404dbe5-116f-42c0-b199-503516dbbe91   \n",
       "80  d423ce8a-77aa-4c9a-94d4-d1adddcc3472   \n",
       "81  d423ce8a-77aa-4c9a-94d4-d1adddcc3472   \n",
       "82  d423ce8a-77aa-4c9a-94d4-d1adddcc3472   \n",
       "\n",
       "                            experimentId  eventName             page  \\\n",
       "78  fd01774c-f629-4bcb-88b8-c818856af72a  page_view  /hotel/products   \n",
       "79  fd01774c-f629-4bcb-88b8-c818856af72a  page_view  /hotel/products   \n",
       "80  53aefd07-f66a-4d7f-ba8b-7ea1fc562d35  page_view  /hotel/products   \n",
       "81  53aefd07-f66a-4d7f-ba8b-7ea1fc562d35  page_view  /hotel/products   \n",
       "82  53aefd07-f66a-4d7f-ba8b-7ea1fc562d35  page_view  /hotel/products   \n",
       "\n",
       "   productId storeMode                                          userAgent  \\\n",
       "78      None     hotel  Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/53...   \n",
       "79      None     hotel  Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/53...   \n",
       "80      None     hotel  Mozilla/5.0 (X11; Linux x86_64; rv:145.0) Geck...   \n",
       "81      None     hotel  Mozilla/5.0 (X11; Linux x86_64; rv:145.0) Geck...   \n",
       "82      None     hotel  Mozilla/5.0 (X11; Linux x86_64; rv:145.0) Geck...   \n",
       "\n",
       "                          ts metadata_referrer metadata_elementText  ...  \\\n",
       "78  2025-11-29T17:32:45.064Z                                    NaN  ...   \n",
       "79  2025-11-29T18:13:53.858Z                                    NaN  ...   \n",
       "80  2025-12-04T11:13:15.884Z                                    NaN  ...   \n",
       "81  2025-12-04T11:18:53.473Z                                    NaN  ...   \n",
       "82  2025-12-04T11:19:05.094Z                                    NaN  ...   \n",
       "\n",
       "    metadata_dwellTime  metadata_type metadata_roomType metadata_price  \\\n",
       "78                 NaN            NaN               NaN            NaN   \n",
       "79                 NaN            NaN               NaN            NaN   \n",
       "80                 NaN            NaN               NaN            NaN   \n",
       "81                 NaN            NaN               NaN            NaN   \n",
       "82                 NaN            NaN               NaN            NaN   \n",
       "\n",
       "    metadata_nights  metadata_total  metadata_itemCount  dateIndex  \\\n",
       "78              NaN             NaN                 NaN       <NA>   \n",
       "79              NaN             NaN                 NaN       <NA>   \n",
       "80              NaN             NaN                 NaN       <NA>   \n",
       "81              NaN             NaN                 NaN       <NA>   \n",
       "82              NaN             NaN                 NaN       <NA>   \n",
       "\n",
       "    price_bucket metadata_schema  \n",
       "78                                \n",
       "79                                \n",
       "80                                \n",
       "81                                \n",
       "82                                \n",
       "\n",
       "[5 rows x 21 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = AugmentEventNamesStep(context).transform(df)\n",
    "df.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "9c6add1a-147a-4086-a437-3f47f17d69bb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>productId</th>\n",
       "      <th>price</th>\n",
       "      <th>sessionId</th>\n",
       "      <th>experimentId</th>\n",
       "      <th>storeMode</th>\n",
       "      <th>ts</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>213</th>\n",
       "      <td>2cd7f756-fc65-4ba0-ab01-74521c1fff43</td>\n",
       "      <td>100.0</td>\n",
       "      <td>d423ce8a-77aa-4c9a-94d4-d1adddcc3472</td>\n",
       "      <td>None</td>\n",
       "      <td>hotel</td>\n",
       "      <td>2025-12-04T11:18:56.320Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>214</th>\n",
       "      <td>2ddabbfc-4127-48fc-86dc-ebc4c677efa2</td>\n",
       "      <td>100.0</td>\n",
       "      <td>d423ce8a-77aa-4c9a-94d4-d1adddcc3472</td>\n",
       "      <td>None</td>\n",
       "      <td>hotel</td>\n",
       "      <td>2025-12-04T11:19:05.434Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>215</th>\n",
       "      <td>2cd7f756-fc65-4ba0-ab01-74521c1fff43</td>\n",
       "      <td>100.0</td>\n",
       "      <td>d423ce8a-77aa-4c9a-94d4-d1adddcc3472</td>\n",
       "      <td>None</td>\n",
       "      <td>hotel</td>\n",
       "      <td>2025-12-04T11:19:05.338Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>216</th>\n",
       "      <td>2cd7f756-fc65-4ba0-ab01-74521c1fff43</td>\n",
       "      <td>100.0</td>\n",
       "      <td>d423ce8a-77aa-4c9a-94d4-d1adddcc3472</td>\n",
       "      <td>None</td>\n",
       "      <td>hotel</td>\n",
       "      <td>2025-12-04T11:19:05.597Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>217</th>\n",
       "      <td>2ddabbfc-4127-48fc-86dc-ebc4c677efa2</td>\n",
       "      <td>100.0</td>\n",
       "      <td>d423ce8a-77aa-4c9a-94d4-d1adddcc3472</td>\n",
       "      <td>None</td>\n",
       "      <td>hotel</td>\n",
       "      <td>2025-12-04T11:19:05.594Z</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                productId  price  \\\n",
       "213  2cd7f756-fc65-4ba0-ab01-74521c1fff43  100.0   \n",
       "214  2ddabbfc-4127-48fc-86dc-ebc4c677efa2  100.0   \n",
       "215  2cd7f756-fc65-4ba0-ab01-74521c1fff43  100.0   \n",
       "216  2cd7f756-fc65-4ba0-ab01-74521c1fff43  100.0   \n",
       "217  2ddabbfc-4127-48fc-86dc-ebc4c677efa2  100.0   \n",
       "\n",
       "                                sessionId experimentId storeMode  \\\n",
       "213  d423ce8a-77aa-4c9a-94d4-d1adddcc3472         None     hotel   \n",
       "214  d423ce8a-77aa-4c9a-94d4-d1adddcc3472         None     hotel   \n",
       "215  d423ce8a-77aa-4c9a-94d4-d1adddcc3472         None     hotel   \n",
       "216  d423ce8a-77aa-4c9a-94d4-d1adddcc3472         None     hotel   \n",
       "217  d423ce8a-77aa-4c9a-94d4-d1adddcc3472         None     hotel   \n",
       "\n",
       "                           ts  \n",
       "213  2025-12-04T11:18:56.320Z  \n",
       "214  2025-12-04T11:19:05.434Z  \n",
       "215  2025-12-04T11:19:05.338Z  \n",
       "216  2025-12-04T11:19:05.597Z  \n",
       "217  2025-12-04T11:19:05.594Z  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "price_df=FetchPriceLogsStep(context).fit_transform(None)\n",
    "price_df.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "28c3d101-8e82-46c3-aa06-765bd2799177",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_chunks = ChunkByTimeWindowStep(context).transform(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "9f1e4005-a1ed-423e-ad55-cc00a18ac10b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "11"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(df_chunks)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "f427318c-c4d3-448a-9b02-f5f71ef15f5c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Timestamp('2025-12-04 11:15:00+0000', tz='UTC')"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_chunks[-1]['window_start']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "fc87a9cc-30f0-460d-a13d-b61f7bf83fab",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Timestamp('2025-12-04 11:30:00+0000', tz='UTC')"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_chunks[-1]['window_end']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "2d850541-47f5-4cd5-8777-ca526645a39b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
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       "      <th></th>\n",
       "      <th>sessionId</th>\n",
       "      <th>experimentId</th>\n",
       "      <th>eventName</th>\n",
       "      <th>page</th>\n",
       "      <th>productId</th>\n",
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       "      <th>ts</th>\n",
       "      <th>metadata_referrer</th>\n",
       "      <th>metadata_elementText</th>\n",
       "      <th>...</th>\n",
       "      <th>metadata_dwellTime</th>\n",
       "      <th>metadata_type</th>\n",
       "      <th>metadata_roomType</th>\n",
       "      <th>metadata_price</th>\n",
       "      <th>metadata_nights</th>\n",
       "      <th>metadata_total</th>\n",
       "      <th>metadata_itemCount</th>\n",
       "      <th>dateIndex</th>\n",
       "      <th>price_bucket</th>\n",
       "      <th>metadata_schema</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>d423ce8a-77aa-4c9a-94d4-d1adddcc3472</td>\n",
       "      <td>53aefd07-f66a-4d7f-ba8b-7ea1fc562d35</td>\n",
       "      <td>page_view</td>\n",
       "      <td>/hotel/products</td>\n",
       "      <td>None</td>\n",
       "      <td>hotel</td>\n",
       "      <td>Mozilla/5.0 (X11; Linux x86_64; rv:145.0) Geck...</td>\n",
       "      <td>2025-12-04 11:18:53.473000+00:00</td>\n",
       "      <td></td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>d423ce8a-77aa-4c9a-94d4-d1adddcc3472</td>\n",
       "      <td>53aefd07-f66a-4d7f-ba8b-7ea1fc562d35</td>\n",
       "      <td>page_view</td>\n",
       "      <td>/hotel/products</td>\n",
       "      <td>None</td>\n",
       "      <td>hotel</td>\n",
       "      <td>Mozilla/5.0 (X11; Linux x86_64; rv:145.0) Geck...</td>\n",
       "      <td>2025-12-04 11:19:05.094000+00:00</td>\n",
       "      <td></td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                               sessionId  \\\n",
       "81  d423ce8a-77aa-4c9a-94d4-d1adddcc3472   \n",
       "82  d423ce8a-77aa-4c9a-94d4-d1adddcc3472   \n",
       "\n",
       "                            experimentId  eventName             page  \\\n",
       "81  53aefd07-f66a-4d7f-ba8b-7ea1fc562d35  page_view  /hotel/products   \n",
       "82  53aefd07-f66a-4d7f-ba8b-7ea1fc562d35  page_view  /hotel/products   \n",
       "\n",
       "   productId storeMode                                          userAgent  \\\n",
       "81      None     hotel  Mozilla/5.0 (X11; Linux x86_64; rv:145.0) Geck...   \n",
       "82      None     hotel  Mozilla/5.0 (X11; Linux x86_64; rv:145.0) Geck...   \n",
       "\n",
       "                                 ts metadata_referrer metadata_elementText  \\\n",
       "81 2025-12-04 11:18:53.473000+00:00                                    NaN   \n",
       "82 2025-12-04 11:19:05.094000+00:00                                    NaN   \n",
       "\n",
       "    ...  metadata_dwellTime  metadata_type metadata_roomType metadata_price  \\\n",
       "81  ...                 NaN            NaN               NaN            NaN   \n",
       "82  ...                 NaN            NaN               NaN            NaN   \n",
       "\n",
       "    metadata_nights  metadata_total  metadata_itemCount  dateIndex  \\\n",
       "81              NaN             NaN                 NaN       <NA>   \n",
       "82              NaN             NaN                 NaN       <NA>   \n",
       "\n",
       "    price_bucket metadata_schema  \n",
       "81                                \n",
       "82                                \n",
       "\n",
       "[2 rows x 21 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_chunks[-1]['data'].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "eda09da8-324b-4af9-971c-d366d8b870d8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "11"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "demand = ComputeDemandForChunksStep(context).transform(df_chunks)\n",
    "len(demand)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "bd2d40ce-6f51-42a8-8849-cc1a4479f4d9",
   "metadata": {},
   "outputs": [
    {
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       "<p>84 rows × 2 columns</p>\n",
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      ],
      "text/plain": [
       "                               productId  demand_score\n",
       "0   bec37f41-7756-47ae-9219-f5854290f4e7             0\n",
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       "81  d85d4c52-baa0-435f-81ac-b0c27a5251b3             0\n",
       "82  93bc00e5-8cfe-42af-8322-49bc27407688             0\n",
       "83  18cc01db-55cc-42a5-aab5-e3ec448548d8             0\n",
       "\n",
       "[84 rows x 2 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "demand[-1]['demand_vector']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "20293a35-c0a8-416e-bfb9-178883f4ca5f",
   "metadata": {},
   "outputs": [],
   "source": [
    "price_df_agg = AggregatePriceLogsStep(context).transform(price_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "bf378587-f5ef-431b-a1c2-663124b5e42b",
   "metadata": {},
   "outputs": [
    {
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       "                              productId   price\n",
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     "execution_count": 19,
     "metadata": {},
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   ],
   "source": [
    "price_df_agg[-1]['price_vector']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "d05f003a-9537-49f6-a814-118e80cd8748",
   "metadata": {},
   "outputs": [
    {
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       "<p>84 rows × 4 columns</p>\n",
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      ],
      "text/plain": [
       "                               productId  elasticity  std_error  n_obs\n",
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       "..                                   ...         ...        ...    ...\n",
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       "\n",
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     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "elasticity = ComputeElasticityStep(context).transform((demand, price_df_agg))\n",
    "elasticity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "926cd9ea-8f6b-43b5-95a5-8fdf5309e1bd",
   "metadata": {},
   "outputs": [
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       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2cd7f756-fc65-4ba0-ab01-74521c1fff43</th>\n",
       "      <td>-0.072857</td>\n",
       "      <td>0.510130</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51266ddb-5b07-47b7-89ee-5b5cae94bb11</th>\n",
       "      <td>-0.291083</td>\n",
       "      <td>0.346879</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2ddabbfc-4127-48fc-86dc-ebc4c677efa2</th>\n",
       "      <td>-10.223968</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7f71fbe2-343c-4a46-94ea-07cbd903a86c</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0d1c9a3a-bc37-4417-a59f-de4b994944cb</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fc64bd74-4dfa-4f78-802a-39d6aa4c39fe</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>d85d4c52-baa0-435f-81ac-b0c27a5251b3</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93bc00e5-8cfe-42af-8322-49bc27407688</th>\n",
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       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18cc01db-55cc-42a5-aab5-e3ec448548d8</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>84 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                      elasticity  std_error  n_obs\n",
       "productId                                                         \n",
       "d018efc1-25e9-4284-b276-80386e048b25   -0.222054   0.447102     11\n",
       "2cd7f756-fc65-4ba0-ab01-74521c1fff43   -0.072857   0.510130     11\n",
       "51266ddb-5b07-47b7-89ee-5b5cae94bb11   -0.291083   0.346879     11\n",
       "2ddabbfc-4127-48fc-86dc-ebc4c677efa2  -10.223968   0.000000     11\n",
       "7f71fbe2-343c-4a46-94ea-07cbd903a86c    0.000000   0.000000      9\n",
       "...                                          ...        ...    ...\n",
       "0d1c9a3a-bc37-4417-a59f-de4b994944cb    0.000000   0.000000      0\n",
       "fc64bd74-4dfa-4f78-802a-39d6aa4c39fe    0.000000   0.000000      0\n",
       "d85d4c52-baa0-435f-81ac-b0c27a5251b3    0.000000   0.000000      0\n",
       "93bc00e5-8cfe-42af-8322-49bc27407688    0.000000   0.000000      0\n",
       "18cc01db-55cc-42a5-aab5-e3ec448548d8    0.000000   0.000000      0\n",
       "\n",
       "[84 rows x 3 columns]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "elasticity.set_index('productId')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "bfa8a023-24da-4b3a-bafb-b174e54bf3b0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 84 entries, 0 to 83\n",
      "Data columns (total 4 columns):\n",
      " #   Column      Non-Null Count  Dtype  \n",
      "---  ------      --------------  -----  \n",
      " 0   productId   84 non-null     object \n",
      " 1   elasticity  84 non-null     float64\n",
      " 2   std_error   84 non-null     float64\n",
      " 3   n_obs       84 non-null     int64  \n",
      "dtypes: float64(2), int64(1), object(1)\n",
      "memory usage: 2.8+ KB\n"
     ]
    }
   ],
   "source": [
    "elasticity.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "5a8823da-da7a-41e4-8166-399538c80a73",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['productId'] = df['productId'].astype(str)\n",
    "elasticity['productId'] = elasticity['productId'].astype(str)\n",
    "dff=df.join(elasticity.set_index('productId'), how=\"left\", on=\"productId\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "e5d1639b-768b-4217-8821-ee09bb3e60c2",
   "metadata": {},
   "outputs": [
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      "text/plain": [
       "                               sessionId  \\\n",
       "78  c404dbe5-116f-42c0-b199-503516dbbe91   \n",
       "79  c404dbe5-116f-42c0-b199-503516dbbe91   \n",
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       "82  d423ce8a-77aa-4c9a-94d4-d1adddcc3472   \n",
       "\n",
       "                            experimentId  eventName             page  \\\n",
       "78  fd01774c-f629-4bcb-88b8-c818856af72a  page_view  /hotel/products   \n",
       "79  fd01774c-f629-4bcb-88b8-c818856af72a  page_view  /hotel/products   \n",
       "80  53aefd07-f66a-4d7f-ba8b-7ea1fc562d35  page_view  /hotel/products   \n",
       "81  53aefd07-f66a-4d7f-ba8b-7ea1fc562d35  page_view  /hotel/products   \n",
       "82  53aefd07-f66a-4d7f-ba8b-7ea1fc562d35  page_view  /hotel/products   \n",
       "\n",
       "   productId storeMode                                          userAgent  \\\n",
       "78      None     hotel  Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/53...   \n",
       "79      None     hotel  Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/53...   \n",
       "80      None     hotel  Mozilla/5.0 (X11; Linux x86_64; rv:145.0) Geck...   \n",
       "81      None     hotel  Mozilla/5.0 (X11; Linux x86_64; rv:145.0) Geck...   \n",
       "82      None     hotel  Mozilla/5.0 (X11; Linux x86_64; rv:145.0) Geck...   \n",
       "\n",
       "                          ts metadata_referrer metadata_elementText  ...  \\\n",
       "78  2025-11-29T17:32:45.064Z                                    NaN  ...   \n",
       "79  2025-11-29T18:13:53.858Z                                    NaN  ...   \n",
       "80  2025-12-04T11:13:15.884Z                                    NaN  ...   \n",
       "81  2025-12-04T11:18:53.473Z                                    NaN  ...   \n",
       "82  2025-12-04T11:19:05.094Z                                    NaN  ...   \n",
       "\n",
       "    metadata_price  metadata_nights metadata_total metadata_itemCount  \\\n",
       "78             NaN              NaN            NaN                NaN   \n",
       "79             NaN              NaN            NaN                NaN   \n",
       "80             NaN              NaN            NaN                NaN   \n",
       "81             NaN              NaN            NaN                NaN   \n",
       "82             NaN              NaN            NaN                NaN   \n",
       "\n",
       "    dateIndex  price_bucket  metadata_schema  elasticity  std_error n_obs  \n",
       "78       <NA>                                        NaN        NaN   NaN  \n",
       "79       <NA>                                        NaN        NaN   NaN  \n",
       "80       <NA>                                        NaN        NaN   NaN  \n",
       "81       <NA>                                        NaN        NaN   NaN  \n",
       "82       <NA>                                        NaN        NaN   NaN  \n",
       "\n",
       "[5 rows x 24 columns]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dff.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "38d4c603-35ed-4de4-847a-48e74044d6d3",
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "                                     id subject_name  xp_human_only  \\\n",
       "0  53aefd07-f66a-4d7f-ba8b-7ea1fc562d35       Daniel          False   \n",
       "1  d10f5ab3-a7b7-4e97-8d94-ab06f1537c0a   Full Agent          False   \n",
       "2  fd01774c-f629-4bcb-88b8-c818856af72a     Daniel 1           True   \n",
       "\n",
       "  xp_market_mode                            xp_task_id  \\\n",
       "0          hotel  517b8078-cf4c-4a1f-b943-75281c69a5b3   \n",
       "1          hotel  517b8078-cf4c-4a1f-b943-75281c69a5b3   \n",
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       "\n",
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       "1  {'task_name': 'Cheapest Room', 'task_def_of_do...  \n",
       "2  {'task_name': 'Cheapest Room w/ View', 'task_d...  "
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "experiments = FetchExperimentsStep(context).transform(dff)\n",
    "experiments.tail()"
   ]
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  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9fd9f831-8a9e-40c2-89a5-de81fb4f77f3",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "92f354ee-6550-48c6-87fd-46b0217e57ed",
   "metadata": {},
   "outputs": [],
   "source": [
    "dff_exp = JoinExperimentsStep(context).transform((dff,experiments))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "d2823849-6ff6-46d2-abc8-9e363b0f66dc",
   "metadata": {},
   "outputs": [
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       "      <th>sessionId</th>\n",
       "      <th>experimentId</th>\n",
       "      <th>eventName</th>\n",
       "      <th>page</th>\n",
       "      <th>productId</th>\n",
       "      <th>storeMode</th>\n",
       "      <th>userAgent</th>\n",
       "      <th>ts</th>\n",
       "      <th>metadata_referrer</th>\n",
       "      <th>metadata_elementText</th>\n",
       "      <th>...</th>\n",
       "      <th>elasticity</th>\n",
       "      <th>std_error</th>\n",
       "      <th>n_obs</th>\n",
       "      <th>exp_subject</th>\n",
       "      <th>exp_human_only</th>\n",
       "      <th>exp_market_mode</th>\n",
       "      <th>exp_task_id</th>\n",
       "      <th>task_name</th>\n",
       "      <th>task_def_of_done</th>\n",
       "      <th>task_description</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>c404dbe5-116f-42c0-b199-503516dbbe91</td>\n",
       "      <td>fd01774c-f629-4bcb-88b8-c818856af72a</td>\n",
       "      <td>page_view</td>\n",
       "      <td>/hotel/products</td>\n",
       "      <td>None</td>\n",
       "      <td>hotel</td>\n",
       "      <td>Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/53...</td>\n",
       "      <td>2025-11-29T17:32:45.064Z</td>\n",
       "      <td></td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Daniel 1</td>\n",
       "      <td>True</td>\n",
       "      <td>hotel</td>\n",
       "      <td>920c3deb-18c6-4586-bbc4-4ce4d1ae6f2d</td>\n",
       "      <td>Cheapest Room w/ View</td>\n",
       "      <td>User added to cart a the cheapest room of all ...</td>\n",
       "      <td>Find the cheapest room with a nice view in the...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>c404dbe5-116f-42c0-b199-503516dbbe91</td>\n",
       "      <td>fd01774c-f629-4bcb-88b8-c818856af72a</td>\n",
       "      <td>page_view</td>\n",
       "      <td>/hotel/products</td>\n",
       "      <td>None</td>\n",
       "      <td>hotel</td>\n",
       "      <td>Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/53...</td>\n",
       "      <td>2025-11-29T18:13:53.858Z</td>\n",
       "      <td></td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Daniel 1</td>\n",
       "      <td>True</td>\n",
       "      <td>hotel</td>\n",
       "      <td>920c3deb-18c6-4586-bbc4-4ce4d1ae6f2d</td>\n",
       "      <td>Cheapest Room w/ View</td>\n",
       "      <td>User added to cart a the cheapest room of all ...</td>\n",
       "      <td>Find the cheapest room with a nice view in the...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>d423ce8a-77aa-4c9a-94d4-d1adddcc3472</td>\n",
       "      <td>53aefd07-f66a-4d7f-ba8b-7ea1fc562d35</td>\n",
       "      <td>page_view</td>\n",
       "      <td>/hotel/products</td>\n",
       "      <td>None</td>\n",
       "      <td>hotel</td>\n",
       "      <td>Mozilla/5.0 (X11; Linux x86_64; rv:145.0) Geck...</td>\n",
       "      <td>2025-12-04T11:13:15.884Z</td>\n",
       "      <td></td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Daniel</td>\n",
       "      <td>False</td>\n",
       "      <td>hotel</td>\n",
       "      <td>517b8078-cf4c-4a1f-b943-75281c69a5b3</td>\n",
       "      <td>Cheapest Room</td>\n",
       "      <td>A room was added and purchased.</td>\n",
       "      <td>Find the cheapest hotel room in multiple steps...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>d423ce8a-77aa-4c9a-94d4-d1adddcc3472</td>\n",
       "      <td>53aefd07-f66a-4d7f-ba8b-7ea1fc562d35</td>\n",
       "      <td>page_view</td>\n",
       "      <td>/hotel/products</td>\n",
       "      <td>None</td>\n",
       "      <td>hotel</td>\n",
       "      <td>Mozilla/5.0 (X11; Linux x86_64; rv:145.0) Geck...</td>\n",
       "      <td>2025-12-04T11:18:53.473Z</td>\n",
       "      <td></td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Daniel</td>\n",
       "      <td>False</td>\n",
       "      <td>hotel</td>\n",
       "      <td>517b8078-cf4c-4a1f-b943-75281c69a5b3</td>\n",
       "      <td>Cheapest Room</td>\n",
       "      <td>A room was added and purchased.</td>\n",
       "      <td>Find the cheapest hotel room in multiple steps...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>d423ce8a-77aa-4c9a-94d4-d1adddcc3472</td>\n",
       "      <td>53aefd07-f66a-4d7f-ba8b-7ea1fc562d35</td>\n",
       "      <td>page_view</td>\n",
       "      <td>/hotel/products</td>\n",
       "      <td>None</td>\n",
       "      <td>hotel</td>\n",
       "      <td>Mozilla/5.0 (X11; Linux x86_64; rv:145.0) Geck...</td>\n",
       "      <td>2025-12-04T11:19:05.094Z</td>\n",
       "      <td></td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Daniel</td>\n",
       "      <td>False</td>\n",
       "      <td>hotel</td>\n",
       "      <td>517b8078-cf4c-4a1f-b943-75281c69a5b3</td>\n",
       "      <td>Cheapest Room</td>\n",
       "      <td>A room was added and purchased.</td>\n",
       "      <td>Find the cheapest hotel room in multiple steps...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 31 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                               sessionId  \\\n",
       "76  c404dbe5-116f-42c0-b199-503516dbbe91   \n",
       "77  c404dbe5-116f-42c0-b199-503516dbbe91   \n",
       "78  d423ce8a-77aa-4c9a-94d4-d1adddcc3472   \n",
       "79  d423ce8a-77aa-4c9a-94d4-d1adddcc3472   \n",
       "80  d423ce8a-77aa-4c9a-94d4-d1adddcc3472   \n",
       "\n",
       "                            experimentId  eventName             page  \\\n",
       "76  fd01774c-f629-4bcb-88b8-c818856af72a  page_view  /hotel/products   \n",
       "77  fd01774c-f629-4bcb-88b8-c818856af72a  page_view  /hotel/products   \n",
       "78  53aefd07-f66a-4d7f-ba8b-7ea1fc562d35  page_view  /hotel/products   \n",
       "79  53aefd07-f66a-4d7f-ba8b-7ea1fc562d35  page_view  /hotel/products   \n",
       "80  53aefd07-f66a-4d7f-ba8b-7ea1fc562d35  page_view  /hotel/products   \n",
       "\n",
       "   productId storeMode                                          userAgent  \\\n",
       "76      None     hotel  Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/53...   \n",
       "77      None     hotel  Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/53...   \n",
       "78      None     hotel  Mozilla/5.0 (X11; Linux x86_64; rv:145.0) Geck...   \n",
       "79      None     hotel  Mozilla/5.0 (X11; Linux x86_64; rv:145.0) Geck...   \n",
       "80      None     hotel  Mozilla/5.0 (X11; Linux x86_64; rv:145.0) Geck...   \n",
       "\n",
       "                          ts metadata_referrer metadata_elementText  ...  \\\n",
       "76  2025-11-29T17:32:45.064Z                                    NaN  ...   \n",
       "77  2025-11-29T18:13:53.858Z                                    NaN  ...   \n",
       "78  2025-12-04T11:13:15.884Z                                    NaN  ...   \n",
       "79  2025-12-04T11:18:53.473Z                                    NaN  ...   \n",
       "80  2025-12-04T11:19:05.094Z                                    NaN  ...   \n",
       "\n",
       "    elasticity  std_error n_obs exp_subject  exp_human_only  exp_market_mode  \\\n",
       "76         NaN        NaN   NaN    Daniel 1            True            hotel   \n",
       "77         NaN        NaN   NaN    Daniel 1            True            hotel   \n",
       "78         NaN        NaN   NaN      Daniel           False            hotel   \n",
       "79         NaN        NaN   NaN      Daniel           False            hotel   \n",
       "80         NaN        NaN   NaN      Daniel           False            hotel   \n",
       "\n",
       "                             exp_task_id              task_name  \\\n",
       "76  920c3deb-18c6-4586-bbc4-4ce4d1ae6f2d  Cheapest Room w/ View   \n",
       "77  920c3deb-18c6-4586-bbc4-4ce4d1ae6f2d  Cheapest Room w/ View   \n",
       "78  517b8078-cf4c-4a1f-b943-75281c69a5b3          Cheapest Room   \n",
       "79  517b8078-cf4c-4a1f-b943-75281c69a5b3          Cheapest Room   \n",
       "80  517b8078-cf4c-4a1f-b943-75281c69a5b3          Cheapest Room   \n",
       "\n",
       "                                     task_def_of_done  \\\n",
       "76  User added to cart a the cheapest room of all ...   \n",
       "77  User added to cart a the cheapest room of all ...   \n",
       "78                    A room was added and purchased.   \n",
       "79                    A room was added and purchased.   \n",
       "80                    A room was added and purchased.   \n",
       "\n",
       "                                     task_description  \n",
       "76  Find the cheapest room with a nice view in the...  \n",
       "77  Find the cheapest room with a nice view in the...  \n",
       "78  Find the cheapest hotel room in multiple steps...  \n",
       "79  Find the cheapest hotel room in multiple steps...  \n",
       "80  Find the cheapest hotel room in multiple steps...  \n",
       "\n",
       "[5 rows x 31 columns]"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dff_exp.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "eb61bb99-3597-4473-86e2-c90cc51a9c9a",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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