diff --git a/reporting.ipynb b/reporting.ipynb
index 1e26829..a5deb18 100644
--- a/reporting.ipynb
+++ b/reporting.ipynb
@@ -5,6 +5,9 @@
    "execution_count": null,
    "id": "f512fba3-877f-411e-935c-0c878d478b2d",
    "metadata": {
+    "jupyter": {
+     "source_hidden": true
+    },
     "scrolled": true
    },
    "outputs": [],
@@ -112,7 +115,11 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "28598d92-24f2-47cb-bb19-9943800eefe1",
-   "metadata": {},
+   "metadata": {
+    "jupyter": {
+     "source_hidden": true
+    }
+   },
    "outputs": [],
    "source": [
     "import neofarm.lib as neo\n",
@@ -155,7 +162,11 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "3a33ffb1-afe7-44b5-863b-9779a95a2a9c",
-   "metadata": {},
+   "metadata": {
+    "jupyter": {
+     "source_hidden": true
+    }
+   },
    "outputs": [],
    "source": [
     "# alle logs von einem Plant \n",
@@ -163,6 +174,7 @@
     "from datetime import datetime\n",
     "\n",
     "if __name__ == \"__main__\":\n",
+    "    \n",
     "    asset = neo.Asset.Plant.from_id(\"76f89f82-1238-43bb-b34f-796a92d491a2\")\n",
     "\n",
     "#Plantname\n",
@@ -186,7 +198,8 @@
     "        print(f\"quant_inventory_adjustment: {input.quantities[0].inventory_adjustment}\")\n",
     "        print(f\"quant_value: {input.quantities[0].value}\")\n",
     "        print(f\"unit_name: {input.quantities[0].units.name}\")\n",
-    "        \n",
+    "        print (f\"unit_price_1: = {input.quantities[0].unit_price}\")\n",
+    "        print (f\"unit_price_1: = {input.quantities[0].total_price}\")\n",
     "    \t\n",
     "#log Seeding       \n",
     "    logs = asset.get_logs_of_type(neo.Log.Seeding)\n",
@@ -372,11 +385,14 @@
    "execution_count": null,
    "id": "d6d12b59-4895-426e-9a30-c9cee801671e",
    "metadata": {
+    "jupyter": {
+     "source_hidden": true
+    },
     "scrolled": true
    },
    "outputs": [],
    "source": [
-    "#Master Report\n",
+    "#Master Report je Plant\n",
     "# Importieren der benötigten Bibliotheken\n",
     "import neofarm.lib as neo\n",
     "import pandas as pd\n",
@@ -433,24 +449,29 @@
     "            quantities = getattr(log, 'quantities', [])\n",
     "            \n",
     "            # Initialisieren von Platzhaltern für den Fall, dass weniger als zwei Mengen vorhanden sind\n",
-    "            quant_type_2 = quant_measure_2 = quant_value_2 = quant_inventory_adjustment_2 = \"\"\n",
+    "            quant_type_2 = quant_measure_2 = quant_value_2 = quant_inventory_adjustment_2 = quant_unit_price_1 = quant_total_price_1 =quant_inventory_name_1 = \"\"\n",
     "            quant_unit_name_1 = quant_unit_name_2 = \"\"\n",
     "\n",
+    "\n",
+    "\n",
+    "\n",
+    "            \n",
     "            # Verarbeitung der ersten Menge, falls vorhanden\n",
     "            if len(quantities) > 0:\n",
     "                quant_type_1 = quantities[0].type\n",
     "                quant_measure_1 = quantities[0].measure\n",
     "                quant_value_1 = quantities[0].value\n",
-    "                #quant_unit_price_1 = quantities[0].unit_price     \n",
-    "                #quant_total_price = quantities[0].total_price\n",
+    "                quant_unit_price_1 = quantities[0].unit_price if hasattr(quantities[0], 'unit_price') and quantities[0].unit_price else \"\"\n",
+    "                quant_total_price_1 = quantities[0].total_price if hasattr(quantities[0], 'total_price') and quantities[0].total_price else \"\"\n",
     "                quant_inventory_adjustment_1 = quantities[0].inventory_adjustment\n",
-    "               # quant_inventory_name_1 = quantities[0].inventory_asset\n",
+    "                quant_inventory_name_1 = quantities[0].inventory_asset.name if hasattr(quantities[0], 'inventory_asset.name') and quantities[0].inventory_asset.name else \"\"\n",
     "                quant_unit_name_1 = quantities[0].units.name if quantities[0].units else \"\"\n",
     "                quant_inventory_name_1 = quantities[0].inventory_asset.name if quantities[0].inventory_asset else \"\"\n",
     "                \n",
+    "                \n",
     "            else:\n",
     "                # Leere Werte, falls keine Menge vorhanden ist\n",
-    "                quant_type_1 = quant_measure_1 = quant_value_1 = quant_inventory_adjustment_1 = \"\"\n",
+    "                quant_type_1 = quant_measure_1 = quant_value_1 = quant_inventory_adjustment_1 = quant_unit_price_1 = quant_total_price_1 = quant_inventory_name_1 = \"\"\n",
     "\n",
     "            # Verarbeitung der zweiten Menge, falls vorhanden\n",
     "            if len(quantities) > 1:\n",
@@ -472,8 +493,152 @@
     "                \"QuantMeasure_1\": quant_measure_1,\n",
     "                \"QuantValue_1\": quant_value_1,\n",
     "                \"QuantUnitName1\": quant_unit_name_1,\n",
+    "                \"QuantUnitPrice_1\" : quant_unit_price_1,\n",
+    "                \"QuantTotalPrice_1\" : quant_total_price_1,\n",
     "                \"QuantInventoryAdjustment_1\": quant_inventory_adjustment_1,\n",
-    "                \"quant_inventory_name_1\": quant_inventory_name_1,\n",
+    "                \"QuantInventoryName_1\": quant_inventory_name_1,\n",
+    "                \"QuantType_2\": quant_type_2,\n",
+    "                \"QuantMeasure_2\": quant_measure_2,\n",
+    "                \"QuantValue_2\": quant_value_2,\n",
+    "                \"QuantUnitName2\": quant_unit_name_2,\n",
+    "                \"QuantInventoryAdjustment_2\": quant_inventory_adjustment_2\n",
+    "            })\n",
+    "    \n",
+    "    # Rückgabe des DataFrames mit allen gesammelten Log-Daten\n",
+    "    return pd.DataFrame(data)\n",
+    "\n",
+    "# Beispielaufruf zur Demonstration\n",
+    "if __name__ == \"__main__\":\n",
+    "    # ID und Name der Pflanze definieren\n",
+    "    asset_id = \"76f89f82-1238-43bb-b34f-796a92d491a2\"\n",
+    "    plant_name = \"W-Raps Helmacker Plant 24/25\"\n",
+    "    \n",
+    "    # Abrufen und Formatieren der Logs in einem DataFrame\n",
+    "    df = process_logs(asset_id, plant_name)\n",
+    "    \n",
+    "    # Konvertieren des 'Timestamp' in ein Datum für die korrekte Anzeige und Berechnung\n",
+    "    df['Timestamp'] = pd.to_datetime(df['Timestamp'], format=\"%d.%m.%Y\")\n",
+    "    \n",
+    "    # Anzeigen des DataFrames zur Veranschaulichung\n",
+    "    display(df)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "19779605-63f3-46b0-b382-ec0e979b2eae",
+   "metadata": {
+    "jupyter": {
+     "source_hidden": true
+    }
+   },
+   "outputs": [],
+   "source": [
+    "#Master Report Baustelle\n",
+    "# Importieren der benötigten Bibliotheken\n",
+    "import neofarm.lib as neo\n",
+    "import pandas as pd\n",
+    "from datetime import datetime\n",
+    "\n",
+    "def process_logs(asset_id, plant_name):\n",
+    "    \"\"\"\n",
+    "    Diese Funktion ruft alle Log-Daten für eine bestimmte Pflanzen-ID ab,\n",
+    "    formatiert sie und organisiert sie in einer Liste von Dictionarys.\n",
+    "    Schließlich gibt sie einen DataFrame zurück, der die aggregierten Log-Daten enthält.\n",
+    "    \n",
+    "    Parameter:\n",
+    "        asset_id (str): Die ID der Pflanze, für die die Logs abgerufen werden sollen.\n",
+    "        plant_name (str): Der Name der Pflanze.\n",
+    "\n",
+    "    Rückgabe:\n",
+    "        pd.DataFrame: Ein DataFrame mit allen gesammelten Log-Daten zur angegebenen Pflanze.\n",
+    "    \"\"\"\n",
+    "    # Lade die Pflanze basierend auf ihrer ID\n",
+    "    asset = neo.Asset.Plant.from_id(asset_id)\n",
+    "    data = []  # Liste zum Sammeln der Log-Daten\n",
+    "    \n",
+    "    # Definieren der Log-Typen, die abgefragt werden sollen\n",
+    "    log_types = [\n",
+    "        (\"Maintenance\", neo.Log.Maintenance),\n",
+    "        (\"Seeding\", neo.Log.Seeding),\n",
+    "        (\"Input\", neo.Log.Input),\n",
+    "        (\"Medical\", neo.Log.Medical),\n",
+    "        (\"Harvest\", neo.Log.Harvest),\n",
+    "        (\"Sale\", neo.Log.Sale),\n",
+    "    ]\n",
+    "    \n",
+    "    # Durchlaufen jeder Log-Typ-Kombination und Abrufen der zugehörigen Log-Daten\n",
+    "    for log_name, log_type in log_types:\n",
+    "        logs = asset.get_logs_of_type(log_type)\n",
+    "        \n",
+    "        # Verarbeitung der einzelnen Logs für den aktuellen Log-Typ\n",
+    "        for log in logs:\n",
+    "            # Formatieren des Timestamps im deutschen Datumsformat\n",
+    "            formatted_date = datetime.fromisoformat(log.timestamp).strftime(\"%d.%m.%Y\")\n",
+    "            \n",
+    "            # Abrufen des ersten Equipment-Namens oder Standardwert, falls nicht vorhanden\n",
+    "            equipment_name = log.equipment[0].name if log.equipment else \"None\"\n",
+    "\n",
+    "                     \n",
+    "            # Abrufen des ersten Location-Namens oder leer, falls nicht vorhanden\n",
+    "            location_name = log.location[0].name if hasattr(log, 'location') and log.location else \"\"\n",
+    "\n",
+    "            # Abrufen des ersten inventory_asset-Namens oder leer, falls nicht vorhanden\n",
+    "            #inventory_asset_name = log.inventory_asset.name if hasattr(log, 'inventory_asset') and log.inventory_asset else \"\"\n",
+    "\n",
+    "     \n",
+    "            # Abrufen aller Mengen (quantities) im Log\n",
+    "            quantities = getattr(log, 'quantities', [])\n",
+    "            \n",
+    "            # Initialisieren von Platzhaltern für den Fall, dass weniger als zwei Mengen vorhanden sind\n",
+    "            quant_type_2 = quant_measure_2 = quant_value_2 = quant_inventory_adjustment_2 = quant_unit_price_1 = quant_total_price_1 =quant_inventory_name_1 = \"\"\n",
+    "            quant_unit_name_1 = quant_unit_name_2 = \"\"\n",
+    "\n",
+    "\n",
+    "\n",
+    "\n",
+    "            \n",
+    "            # Verarbeitung der ersten Menge, falls vorhanden\n",
+    "            if len(quantities) > 0:\n",
+    "                quant_type_1 = quantities[0].type\n",
+    "                quant_measure_1 = quantities[0].measure\n",
+    "                quant_value_1 = quantities[0].value\n",
+    "                quant_unit_price_1 = quantities[0].unit_price if hasattr(quantities[0], 'unit_price') and quantities[0].unit_price else \"\"\n",
+    "                quant_total_price_1 = quantities[0].total_price if hasattr(quantities[0], 'total_price') and quantities[0].total_price else \"\"\n",
+    "                quant_inventory_adjustment_1 = quantities[0].inventory_adjustment\n",
+    "                quant_inventory_name_1 = quantities[0].inventory_asset.name if hasattr(quantities[0], 'inventory_asset.name') and quantities[0].inventory_asset.name else \"\"\n",
+    "                quant_unit_name_1 = quantities[0].units.name if quantities[0].units else \"\"\n",
+    "                quant_inventory_name_1 = quantities[0].inventory_asset.name if quantities[0].inventory_asset else \"\"\n",
+    "                \n",
+    "                \n",
+    "            else:\n",
+    "                # Leere Werte, falls keine Menge vorhanden ist\n",
+    "                quant_type_1 = quant_measure_1 = quant_value_1 = quant_inventory_adjustment_1 = quant_unit_price_1 = quant_total_price_1 = quant_inventory_name_1 = \"\"\n",
+    "\n",
+    "            # Verarbeitung der zweiten Menge, falls vorhanden\n",
+    "            if len(quantities) > 1:\n",
+    "                quant_type_2 = quantities[1].type\n",
+    "                quant_measure_2 = quantities[1].measure\n",
+    "                quant_value_2 = quantities[1].value\n",
+    "                quant_inventory_adjustment_2 = quantities[1].inventory_adjustment\n",
+    "                quant_unit_name_2 = quantities[1].units.name if quantities[1].units else \"\"\n",
+    "\n",
+    "            # Hinzufügen der gesammelten Daten für diesen Log als Dictionary in die Liste\n",
+    "            data.append({\n",
+    "                \"PlantName\": plant_name,\n",
+    "                \"LogType\": log_name,\n",
+    "                \"Name\": log.name,\n",
+    "                \"Timestamp\": formatted_date,\n",
+    "                \"Equipment\": equipment_name,\n",
+    "                \"Location\": location_name,\n",
+    "                \"QuantType_1\": quant_type_1,\n",
+    "                \"QuantMeasure_1\": quant_measure_1,\n",
+    "                \"QuantValue_1\": quant_value_1,\n",
+    "                \"QuantUnitName1\": quant_unit_name_1,\n",
+    "                \"QuantUnitPrice_1\" : quant_unit_price_1,\n",
+    "                \"QuantTotalPrice_1\" : quant_total_price_1,\n",
+    "                \"QuantInventoryAdjustment_1\": quant_inventory_adjustment_1,\n",
+    "                \"QuantInventoryName_1\": quant_inventory_name_1,\n",
     "                \"QuantType_2\": quant_type_2,\n",
     "                \"QuantMeasure_2\": quant_measure_2,\n",
     "                \"QuantValue_2\": quant_value_2,\n",
@@ -573,129 +738,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": null,
    "id": "849c4af5-f0f9-47f4-b841-fa8dc3e27c15",
    "metadata": {
-    "collapsed": true,
     "jupyter": {
-     "outputs_hidden": true,
      "source_hidden": true
     },
     "scrolled": true
    },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>name</th>\n",
-       "      <th>timestamp</th>\n",
-       "      <th>plant_name</th>\n",
-       "      <th>plant_crop</th>\n",
-       "      <th>plant_location</th>\n",
-       "      <th>equipment</th>\n",
-       "      <th>isMovement</th>\n",
-       "      <th>Q1_type</th>\n",
-       "      <th>Q1_measure</th>\n",
-       "      <th>Q1_value</th>\n",
-       "      <th>Q1_units</th>\n",
-       "      <th>Q1_inventory_adjustment</th>\n",
-       "      <th>Q1_inventory_asset</th>\n",
-       "      <th>Q2_type</th>\n",
-       "      <th>Q2_measure</th>\n",
-       "      <th>Q2_value</th>\n",
-       "      <th>Q2_units</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>W-Raps Otello KWS Helmacker Seeding 24/25</td>\n",
-       "      <td>22.08.2024</td>\n",
-       "      <td>W-Raps Helmacker Plant 24/25</td>\n",
-       "      <td>Raps</td>\n",
-       "      <td>Helmacker</td>\n",
-       "      <td>Sähmaschine Cataya</td>\n",
-       "      <td>False</td>\n",
-       "      <td>quantity--standard</td>\n",
-       "      <td>weight</td>\n",
-       "      <td>50</td>\n",
-       "      <td>kg</td>\n",
-       "      <td>decrement</td>\n",
-       "      <td>W-Raps Saatgut Otello KWS Seed 08/24</td>\n",
-       "      <td>quantity--standard</td>\n",
-       "      <td>area</td>\n",
-       "      <td>3.02</td>\n",
-       "      <td>ha</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>W-Raps Otello KWS Nachtweide Seeding 24/25</td>\n",
-       "      <td>28.08.2024</td>\n",
-       "      <td>W-Raps Nachtweide Plant 24/25</td>\n",
-       "      <td>Raps</td>\n",
-       "      <td>Nachtweide</td>\n",
-       "      <td>Sähmaschine Cataya</td>\n",
-       "      <td>False</td>\n",
-       "      <td>quantity--standard</td>\n",
-       "      <td>weight</td>\n",
-       "      <td>66</td>\n",
-       "      <td>kg</td>\n",
-       "      <td>decrement</td>\n",
-       "      <td>W-Raps Saatgut Otello KWS Seed 08/24</td>\n",
-       "      <td>quantity--standard</td>\n",
-       "      <td>area</td>\n",
-       "      <td>4.5</td>\n",
-       "      <td>ha</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                                         name   timestamp  \\\n",
-       "0   W-Raps Otello KWS Helmacker Seeding 24/25  22.08.2024   \n",
-       "1  W-Raps Otello KWS Nachtweide Seeding 24/25  28.08.2024   \n",
-       "\n",
-       "                       plant_name plant_crop plant_location  \\\n",
-       "0    W-Raps Helmacker Plant 24/25       Raps      Helmacker   \n",
-       "1  W-Raps Nachtweide Plant 24/25        Raps     Nachtweide   \n",
-       "\n",
-       "            equipment  isMovement             Q1_type Q1_measure Q1_value  \\\n",
-       "0  Sähmaschine Cataya       False  quantity--standard     weight       50   \n",
-       "1  Sähmaschine Cataya       False  quantity--standard     weight       66   \n",
-       "\n",
-       "  Q1_units Q1_inventory_adjustment                    Q1_inventory_asset  \\\n",
-       "0       kg               decrement  W-Raps Saatgut Otello KWS Seed 08/24   \n",
-       "1       kg               decrement  W-Raps Saatgut Otello KWS Seed 08/24   \n",
-       "\n",
-       "              Q2_type Q2_measure Q2_value Q2_units  \n",
-       "0  quantity--standard       area     3.02       ha  \n",
-       "1  quantity--standard       area      4.5       ha  "
-      ]
-     },
-     "execution_count": 7,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "#Alle Seeding Logs\n",
     "import neofarm.lib as neo\n",
@@ -741,80 +792,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": null,
    "id": "27e54d8e-cda2-465c-88eb-963a0fff3c5d",
    "metadata": {
-    "collapsed": true,
     "jupyter": {
-     "outputs_hidden": true
+     "source_hidden": true
     }
    },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>name</th>\n",
-       "      <th>timestamp</th>\n",
-       "      <th>plant_name</th>\n",
-       "      <th>equipment</th>\n",
-       "      <th>Q1_type</th>\n",
-       "      <th>Q1_measure</th>\n",
-       "      <th>Q1_value</th>\n",
-       "      <th>Q1_units</th>\n",
-       "      <th>Q1_inventory_adjustment</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Scheibeneggen Helmacker Maintenance 24/25</td>\n",
-       "      <td>28.07.2024</td>\n",
-       "      <td>W-Raps Helmacker Plant 24/25</td>\n",
-       "      <td>Scheibenegge Catros</td>\n",
-       "      <td>quantity--price</td>\n",
-       "      <td>time</td>\n",
-       "      <td>2</td>\n",
-       "      <td>h</td>\n",
-       "      <td>None</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                                        name   timestamp  \\\n",
-       "0  Scheibeneggen Helmacker Maintenance 24/25  28.07.2024   \n",
-       "\n",
-       "                     plant_name            equipment          Q1_type  \\\n",
-       "0  W-Raps Helmacker Plant 24/25  Scheibenegge Catros  quantity--price   \n",
-       "\n",
-       "  Q1_measure Q1_value Q1_units Q1_inventory_adjustment  \n",
-       "0       time        2        h                    None  "
-      ]
-     },
-     "execution_count": 9,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "#Alle Maintenance Logs\n",
     "import neofarm.lib as neo\n",
@@ -854,7 +839,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": null,
    "id": "e8e0222a-25c8-4f3f-a1e8-5e7753432c4b",
    "metadata": {
     "jupyter": {
@@ -862,103 +847,7 @@
     },
     "scrolled": true
    },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>name</th>\n",
-       "      <th>timestamp</th>\n",
-       "      <th>plant_name</th>\n",
-       "      <th>plant_crop</th>\n",
-       "      <th>plant_location</th>\n",
-       "      <th>equipment</th>\n",
-       "      <th>isMovement</th>\n",
-       "      <th>Q1_type</th>\n",
-       "      <th>Q1_measure</th>\n",
-       "      <th>Q1_value</th>\n",
-       "      <th>Q1_units</th>\n",
-       "      <th>Q1_inventory_adjustment</th>\n",
-       "      <th>Q1_inventory_asset</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Innovert Raps Input 24/25</td>\n",
-       "      <td>12.10.2024</td>\n",
-       "      <td>W-Raps Helmacker Plant 24/25</td>\n",
-       "      <td>Raps</td>\n",
-       "      <td>Helmacker</td>\n",
-       "      <td>Spritze</td>\n",
-       "      <td>False</td>\n",
-       "      <td>quantity--standard</td>\n",
-       "      <td>volume</td>\n",
-       "      <td>10</td>\n",
-       "      <td>l</td>\n",
-       "      <td>decrement</td>\n",
-       "      <td>Innovert Raps Material 08/24</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>Innovert Raps Input 24/25</td>\n",
-       "      <td>03.11.2024</td>\n",
-       "      <td>W-Raps Helmacker Plant 24/25</td>\n",
-       "      <td>Raps</td>\n",
-       "      <td>Helmacker</td>\n",
-       "      <td>Spritze</td>\n",
-       "      <td>False</td>\n",
-       "      <td>quantity--standard</td>\n",
-       "      <td>volume</td>\n",
-       "      <td>10</td>\n",
-       "      <td>l</td>\n",
-       "      <td>decrement</td>\n",
-       "      <td>Innovert Raps Material 08/24</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                        name   timestamp                    plant_name  \\\n",
-       "0  Innovert Raps Input 24/25  12.10.2024  W-Raps Helmacker Plant 24/25   \n",
-       "1  Innovert Raps Input 24/25  03.11.2024  W-Raps Helmacker Plant 24/25   \n",
-       "\n",
-       "  plant_crop plant_location equipment  isMovement             Q1_type  \\\n",
-       "0       Raps      Helmacker   Spritze       False  quantity--standard   \n",
-       "1       Raps      Helmacker   Spritze       False  quantity--standard   \n",
-       "\n",
-       "  Q1_measure Q1_value Q1_units Q1_inventory_adjustment  \\\n",
-       "0     volume       10        l               decrement   \n",
-       "1     volume       10        l               decrement   \n",
-       "\n",
-       "             Q1_inventory_asset  \n",
-       "0  Innovert Raps Material 08/24  \n",
-       "1  Innovert Raps Material 08/24  "
-      ]
-     },
-     "execution_count": 13,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "#Alle Input Logs\n",
     "import neofarm.lib as neo\n",
@@ -1009,88 +898,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": null,
    "id": "6356e491-8615-40eb-ad75-a21cb517afc2",
    "metadata": {
+    "jupyter": {
+     "source_hidden": true
+    },
     "scrolled": true
    },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>name</th>\n",
-       "      <th>timestamp</th>\n",
-       "      <th>plant_name</th>\n",
-       "      <th>plant_crop</th>\n",
-       "      <th>plant_location</th>\n",
-       "      <th>equipment</th>\n",
-       "      <th>isMovement</th>\n",
-       "      <th>Q1_type</th>\n",
-       "      <th>Q1_measure</th>\n",
-       "      <th>Q1_value</th>\n",
-       "      <th>Q1_units</th>\n",
-       "      <th>Q1_inventory_adjustment</th>\n",
-       "      <th>Q1_inventory_asset</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Schneckenkorn Medical 24/25</td>\n",
-       "      <td>30.08.2024</td>\n",
-       "      <td>W-Raps Helmacker Plant 24/25</td>\n",
-       "      <td>Raps</td>\n",
-       "      <td>Helmacker</td>\n",
-       "      <td>Schneckenkornstreuer Leinfelder</td>\n",
-       "      <td>False</td>\n",
-       "      <td>quantity--standard</td>\n",
-       "      <td>weight</td>\n",
-       "      <td>10</td>\n",
-       "      <td>kg</td>\n",
-       "      <td>decrement</td>\n",
-       "      <td>Schneckenkorn Material 08/24</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                          name   timestamp                    plant_name  \\\n",
-       "0  Schneckenkorn Medical 24/25  30.08.2024  W-Raps Helmacker Plant 24/25   \n",
-       "\n",
-       "  plant_crop plant_location                        equipment  isMovement  \\\n",
-       "0       Raps      Helmacker  Schneckenkornstreuer Leinfelder       False   \n",
-       "\n",
-       "              Q1_type Q1_measure Q1_value Q1_units Q1_inventory_adjustment  \\\n",
-       "0  quantity--standard     weight       10       kg               decrement   \n",
-       "\n",
-       "             Q1_inventory_asset  \n",
-       "0  Schneckenkorn Material 08/24  "
-      ]
-     },
-     "execution_count": 14,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "#Alle Medical Logs\n",
     "import neofarm.lib as neo\n",
@@ -1133,108 +949,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": null,
    "id": "ee597e4c-7275-4cda-8cc6-2daf82dbd4d8",
    "metadata": {
+    "jupyter": {
+     "source_hidden": true
+    },
     "scrolled": true
    },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>name</th>\n",
-       "      <th>timestamp</th>\n",
-       "      <th>plant_name</th>\n",
-       "      <th>plant_crop</th>\n",
-       "      <th>plant_location</th>\n",
-       "      <th>equipment</th>\n",
-       "      <th>isMovement</th>\n",
-       "      <th>Q1_type</th>\n",
-       "      <th>Q1_measure</th>\n",
-       "      <th>Q1_value</th>\n",
-       "      <th>Q1_units</th>\n",
-       "      <th>Q1_inventory_adjustment</th>\n",
-       "      <th>Q1_inventory_asset</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>W-Raps Helmacker  Harvest 24/25</td>\n",
-       "      <td>20.10.2024</td>\n",
-       "      <td>W-Raps Helmacker Plant 24/25</td>\n",
-       "      <td>Raps</td>\n",
-       "      <td>Helmacker</td>\n",
-       "      <td>Mähdrescher Leinfelder</td>\n",
-       "      <td>False</td>\n",
-       "      <td>quantity--standard</td>\n",
-       "      <td>weight</td>\n",
-       "      <td>5</td>\n",
-       "      <td>to</td>\n",
-       "      <td>increment</td>\n",
-       "      <td>W-Raps Product 08/24</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>W-Raps Nachtweide  Harvest 24/25</td>\n",
-       "      <td>28.10.2024</td>\n",
-       "      <td>W-Raps Nachtweide Plant 24/25</td>\n",
-       "      <td>Raps</td>\n",
-       "      <td>Nachtweide</td>\n",
-       "      <td>Mähdrescher Leinfelder</td>\n",
-       "      <td>False</td>\n",
-       "      <td>quantity--standard</td>\n",
-       "      <td>weight</td>\n",
-       "      <td>7.8</td>\n",
-       "      <td>to</td>\n",
-       "      <td>increment</td>\n",
-       "      <td>W-Raps Product 08/24</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                               name   timestamp  \\\n",
-       "0   W-Raps Helmacker  Harvest 24/25  20.10.2024   \n",
-       "1  W-Raps Nachtweide  Harvest 24/25  28.10.2024   \n",
-       "\n",
-       "                       plant_name plant_crop plant_location  \\\n",
-       "0    W-Raps Helmacker Plant 24/25       Raps      Helmacker   \n",
-       "1  W-Raps Nachtweide Plant 24/25        Raps     Nachtweide   \n",
-       "\n",
-       "                equipment  isMovement             Q1_type Q1_measure Q1_value  \\\n",
-       "0  Mähdrescher Leinfelder       False  quantity--standard     weight        5   \n",
-       "1  Mähdrescher Leinfelder       False  quantity--standard     weight      7.8   \n",
-       "\n",
-       "  Q1_units Q1_inventory_adjustment    Q1_inventory_asset  \n",
-       "0       to               increment  W-Raps Product 08/24  \n",
-       "1       to               increment  W-Raps Product 08/24  "
-      ]
-     },
-     "execution_count": 15,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "#Alle Harvest Logs\n",
     "import neofarm.lib as neo\n",
@@ -1277,85 +1000,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": null,
    "id": "3279d05b-5bae-497e-891d-3337844904f7",
    "metadata": {
+    "jupyter": {
+     "source_hidden": true
+    },
     "scrolled": true
    },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>name</th>\n",
-       "      <th>timestamp</th>\n",
-       "      <th>plant_name</th>\n",
-       "      <th>plant_crop</th>\n",
-       "      <th>plant_location</th>\n",
-       "      <th>equipment</th>\n",
-       "      <th>isMovement</th>\n",
-       "      <th>Q1_type</th>\n",
-       "      <th>Q1_measure</th>\n",
-       "      <th>Q1_value</th>\n",
-       "      <th>Q1_units</th>\n",
-       "      <th>Q1_inventory_adjustment</th>\n",
-       "      <th>Q1_inventory_asset</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>W-Raps Sale 24/25</td>\n",
-       "      <td>28.10.2024</td>\n",
-       "      <td>W-Raps Helmacker Plant 24/25</td>\n",
-       "      <td>Raps</td>\n",
-       "      <td>Helmacker</td>\n",
-       "      <td>Mähdrescher Leinfelder</td>\n",
-       "      <td>False</td>\n",
-       "      <td>quantity--price</td>\n",
-       "      <td>weight</td>\n",
-       "      <td>5</td>\n",
-       "      <td>to</td>\n",
-       "      <td>decrement</td>\n",
-       "      <td>W-Raps Product 08/24</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                name   timestamp                    plant_name plant_crop  \\\n",
-       "0  W-Raps Sale 24/25  28.10.2024  W-Raps Helmacker Plant 24/25       Raps   \n",
-       "\n",
-       "  plant_location               equipment  isMovement          Q1_type  \\\n",
-       "0      Helmacker  Mähdrescher Leinfelder       False  quantity--price   \n",
-       "\n",
-       "  Q1_measure Q1_value Q1_units Q1_inventory_adjustment    Q1_inventory_asset  \n",
-       "0     weight        5       to               decrement  W-Raps Product 08/24  "
-      ]
-     },
-     "execution_count": 17,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "#Alle Sale Logs\n",
     "import neofarm.lib as neo\n",
@@ -1398,26 +1051,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
-   "id": "d6be8923-8eb0-4d3b-927a-af15fe2c0ba0",
+   "execution_count": null,
+   "id": "8471814f-e362-424c-af3e-aa7865048782",
    "metadata": {
-    "scrolled": true
-   },
-   "outputs": [
-    {
-     "ename": "IndexError",
-     "evalue": "list index out of range",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[1;31mIndexError\u001b[0m                                Traceback (most recent call last)",
-      "Cell \u001b[1;32mIn[21], line 15\u001b[0m\n\u001b[0;32m     11\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m purchase \u001b[38;5;129;01min\u001b[39;00m purchases:\n\u001b[0;32m     14\u001b[0m     quantity1 \u001b[38;5;241m=\u001b[39m purchase\u001b[38;5;241m.\u001b[39mquantities[\u001b[38;5;241m0\u001b[39m]\n\u001b[1;32m---> 15\u001b[0m     quantity2 \u001b[38;5;241m=\u001b[39m \u001b[43mpurchase\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mquantities\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m]\u001b[49m\n\u001b[0;32m     18\u001b[0m     \u001b[38;5;66;03m# Purchase-Daten als Dictionary hinzufügen\u001b[39;00m\n\u001b[0;32m     19\u001b[0m     data\u001b[38;5;241m.\u001b[39mappend({\n\u001b[0;32m     20\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mname\u001b[39m\u001b[38;5;124m\"\u001b[39m: purchase\u001b[38;5;241m.\u001b[39mname,\n\u001b[0;32m     21\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mtimestamp\u001b[39m\u001b[38;5;124m\"\u001b[39m: datetime\u001b[38;5;241m.\u001b[39mfromisoformat(purchase\u001b[38;5;241m.\u001b[39mtimestamp)\u001b[38;5;241m.\u001b[39mstrftime(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m%d\u001b[39;00m\u001b[38;5;124m.\u001b[39m\u001b[38;5;124m%\u001b[39m\u001b[38;5;124mm.\u001b[39m\u001b[38;5;124m%\u001b[39m\u001b[38;5;124mY\u001b[39m\u001b[38;5;124m\"\u001b[39m),  \u001b[38;5;66;03m# Konvertiere in das gewünschte Format\u001b[39;00m\n\u001b[1;32m   (...)\u001b[0m\n\u001b[0;32m     34\u001b[0m \n\u001b[0;32m     35\u001b[0m     })\n",
-      "\u001b[1;31mIndexError\u001b[0m: list index out of range"
-     ]
+    "jupyter": {
+     "source_hidden": true
     }
-   ],
+   },
+   "outputs": [],
    "source": [
-    "#Alle Purchase Logs Baustelle!!\n",
+    "#alle Purchase Logs Baustelle\n",
     "import neofarm.lib as neo\n",
     "import pandas as pd\n",
     "from datetime import datetime\n",
@@ -1428,29 +1071,48 @@
     "# Alle Purchase-Logs abrufen\n",
     "purchases = neo.Log.Purchase.get_list()\n",
     "for purchase in purchases:\n",
-    "   \n",
-    "  \n",
-    "    quantity1 = purchase.quantities[0]\n",
-    "    quantity2 = purchase.quantities[1]\n",
-    "\n",
+    "    quantities = purchase.quantities\n",
     "    \n",
+    "    # Hilfsfunktion, um sicher Werte abzurufen oder Standardwerte zurückzugeben\n",
+    "    def get_quantity_info(quantities, index):\n",
+    "        if len(quantities) > index:\n",
+    "            quantity = quantities[index]\n",
+    "            return {\n",
+    "                f\"Q{index}_type\": quantity.type,\n",
+    "                #f\"Q{index}_typex\": taxonomy.material_type if taxonomy.material_type else \"\",\n",
+    "\n",
+    "               \n",
+    "                f\"Q{index}_measure\": quantity.measure,\n",
+    "                f\"Q{index}_value\": quantity.value,\n",
+    "                f\"Q{index}_units\": quantity.units.name if quantity.units else \"\",\n",
+    "                f\"Q{index}_quant_unit_price\" : quantities[0].unit_price if hasattr(quantities[0], 'unit_price') and quantities[0].unit_price else \"\",\n",
+    "                f\"Q{index}_quant_total_price\" : quantities[0].total_price if hasattr(quantities[0], 'total_price') and quantities[0].total_price else \"\",\n",
+    "                f\"Q{index}_inventory_adjustment\": quantity.inventory_adjustment,\n",
+    "                f\"Q{index}_inventory_asset\": quantity.inventory_asset.name if quantity.inventory_asset else \"\"\n",
+    "            }\n",
+    "        else:\n",
+    "            # Rückgabe von Standardwerten, wenn die Menge nicht vorhanden ist\n",
+    "            return {\n",
+    "                f\"Q{index}_type\": \"\",\n",
+    "                f\"Q{index}_measure\": \"\",\n",
+    "                f\"Q{index}_value\": \"\",\n",
+    "                f\"Q{index}_units\": \"\",\n",
+    "                f\"Q{index}_quant_unit_price\": \"\",\n",
+    "                f\"Q{index}_quant_total_price\" : \"\",\n",
+    "                f\"Q{index}_inventory_adjustment\": \"\",\n",
+    "                f\"Q{index}_inventory_asset\": \"\"\n",
+    "            }\n",
+    "\n",
+    "    # Alle Mengeninformationen abrufen und gruppieren\n",
+    "    quantity_info = {}\n",
+    "    for i in range(8):  # Von 0 bis 7\n",
+    "        quantity_info.update(get_quantity_info(quantities, i))\n",
+    "\n",
     "    # Purchase-Daten als Dictionary hinzufügen\n",
     "    data.append({\n",
     "        \"name\": purchase.name,\n",
     "        \"timestamp\": datetime.fromisoformat(purchase.timestamp).strftime(\"%d.%m.%Y\"),  # Konvertiere in das gewünschte Format\n",
-    "        \"Q1_type\": quantity1.type,\n",
-    "        \"Q1_measure\": quantity1.measure,\n",
-    "        \"Q1_value\": quantity1.value,\n",
-    "        \"Q1_units\": quantity1.units.name,\n",
-    "        \"Q1_inventory_adjustment\": quantity1.inventory_adjustment,\n",
-    "        \"Q1_inventory_asset\": quantity1.inventory_asset.name,\n",
-    "        \"Q2_type\": quantity2.type,\n",
-    "        \"Q2_measure\": quantity2.measure,\n",
-    "        \"Q2_value\": quantity2.value,\n",
-    "        \"Q2_units\": quantity2.units.name,\n",
-    "        \"Q2_inventory_adjustment\": quantity2.inventory_adjustment,\n",
-    "        \"Q2_inventory_asset\": quantity2.inventory_asset.name\n",
-    "\n",
+    "        **quantity_info\n",
     "    })\n",
     "\n",
     "# DataFrame erstellen und anzeigen\n",
@@ -1461,7 +1123,230 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "d63742e3-04a4-4cc0-972f-3edd868325cc",
+   "id": "34cfb8bd-fccc-436e-9391-f903f715c9d8",
+   "metadata": {
+    "jupyter": {
+     "source_hidden": true
+    }
+   },
+   "outputs": [],
+   "source": [
+    "Alle Logs\n",
+    "\n",
+    "\n",
+    "# alle logs von einem Plant \n",
+    "import neofarm.lib as neo\n",
+    "from datetime import datetime\n",
+    "\n",
+    "if __name__ == \"__main__\":\n",
+    "    \n",
+    "#log Activity\n",
+    "  \n",
+    "    logs = neo.Log.Activity.get_list()\n",
+    "    for log in logs:\n",
+    "        print(\"Activity:\")\n",
+    "        print(f\"name:       {log.name}\")\n",
+    "        formatted_date = datetime.fromisoformat(log.timestamp).strftime(\"%d.%m.%y %H:%M \")  # Konvertiere in das gewünschte Format\n",
+    "        print(f\"timestamp:  {formatted_date}\")        \n",
+    "        \n",
+    "    \t\n",
+    "    \n",
+    "#log Maintenance\n",
+    "  \n",
+    "    logs = neo.Log.Maintenance.get_list()\n",
+    "    for log in logs:\n",
+    "        print(\"Maintenance:\")\n",
+    "        print(f\"name:       {log.name}\")\n",
+    "        formatted_date = datetime.fromisoformat(log.timestamp).strftime(\"%d.%m.%y %H:%M \")  # Konvertiere in das gewünschte Format\n",
+    "        print(f\"timestamp:  {formatted_date}\")        \n",
+    "        print(f\"equipment:  {log.equipment[0].name}\")\n",
+    "#quantity\n",
+    "        input=neo.Log.Maintenance.from_id(log.id)\n",
+    "        print(f\"quant_type: {input.quantities[0].type}\")\n",
+    "        print(f\"quant_measure: {input.quantities[0].measure}\")\n",
+    "        print(f\"quant_value: {input.quantities[0].value}\")\n",
+    "        print(f\"quant_inventory_adjustment: {input.quantities[0].inventory_adjustment}\")\n",
+    "        print(f\"quant_value: {input.quantities[0].value}\")\n",
+    "        print(f\"unit_name: {input.quantities[0].units.name}\")\n",
+    "        print (f\"unit_price_1: = {input.quantities[0].unit_price}\")\n",
+    "        print (f\"unit_price_1: = {input.quantities[0].total_price}\")\n",
+    "\n",
+    "\n",
+    "#log Purchase\n",
+    "  \n",
+    "    logs = neo.Log.Purchase.get_list()\n",
+    "    for log in logs:\n",
+    "        print(\"Purchase:\")\n",
+    "        print(f\"name:       {log.name}\")\n",
+    "        formatted_date = datetime.fromisoformat(log.timestamp).strftime(\"%d.%m.%y %H:%M \")  # Konvertiere in das gewünschte Format\n",
+    "        print(f\"timestamp:  {formatted_date}\")        \n",
+    "        \n",
+    "   #quantity\n",
+    "        input=neo.Log.Purchase.from_id(log.id)\n",
+    "        print(f\"quant0_type: {input.quantities[0].type}\")\n",
+    "        print(f\"quant0_measure: {input.quantities[0].measure}\")\n",
+    "        print(f\"quant0_value: {input.quantities[0].value}\")\n",
+    "        print(f\"quant0_inventory_adjustment: {input.quantities[0].inventory_adjustment}\")\n",
+    "        print(f\"unit0_name: {input.quantities[0].units.name}\")\n",
+    "        print (f\"unit0_price_1: = {input.quantities[0].unit_price}\")\n",
+    "        print (f\"unit0_price_1: = {input.quantities[0].total_price}\")\n",
+    "\n",
+    "        print(f\"quant1_type: {input.quantities[0].type}\")\n",
+    "        print(f\"quant1_measure: {input.quantities[0].measure}\")\n",
+    "        print(f\"quant1_value: {input.quantities[0].value}\")\n",
+    "        print(f\"unit1_name: {input.quantities[0].units.name}\")\n",
+    "\n",
+    "\n",
+    "\n",
+    "\n",
+    "\n",
+    "\n",
+    " \n",
+    "\n",
+    "\n",
+    "    \n",
+    "\n",
+    " \n",
+    "    \n",
+    "#log Seeding       \n",
+    "    logs = neo.Log.Seeding.get_list()\n",
+    "    for log in logs:\n",
+    "        print(\"Seeding:\")\n",
+    "        print(f\"name:       {log.name}\")\n",
+    "        formatted_date = datetime.fromisoformat(log.timestamp).strftime(\"%d.%m.%y %H:%M \")  # Konvertiere in das gewünschte Format\n",
+    "        print(f\"timestamp:  {formatted_date}\")\n",
+    "        print(f\"equipment:  {log.equipment[0].name}\")\n",
+    "        print(f\"plant loc:  {log.location[0].name}\")\n",
+    "#quantity\n",
+    "        input=neo.Log.Seeding.from_id(log.id)\n",
+    "        print(f\"quant_type: {input.quantities[0].type}\")\n",
+    "        print(f\"quant_measure: {input.quantities[0].measure}\")\n",
+    "        print(f\"quant_value: {input.quantities[0].value}\")\n",
+    "        print(f\"quant_inventory_adjustment: {input.quantities[0].inventory_adjustment}\")\n",
+    "        print(f\"quant_inventory_name: {input.quantities[0].inventory_asset.name}\")\n",
+    "\n",
+    "#log Input        \n",
+    "    logs = neo.Log.Input.get_list()\n",
+    "    for log in logs:\n",
+    "        print(\"Input:\")\n",
+    "        print(f\"name:       {log.name}\")\n",
+    "        #print(f\"name:       {log.id}\")\n",
+    "        formatted_date = datetime.fromisoformat(log.timestamp).strftime(\"%d.%m.%y %H:%M \")  # Konvertiere in das gewünschte Format\n",
+    "        print(f\"timestamp:  {formatted_date}\")\n",
+    "        print(f\"equipment:  {log.equipment[0].name}\")\n",
+    "\n",
+    "#quantity\n",
+    "        input=neo.Log.Input.from_id(log.id)\n",
+    "        print(f\"quant_type: {input.quantities[0].type}\")\n",
+    "        print(f\"quant_measure: {input.quantities[0].measure}\")\n",
+    "        print(f\"quant_value: {input.quantities[0].value}\")\n",
+    "        print(f\"quant_inventory_adjustment: {input.quantities[0].inventory_adjustment}\")\n",
+    "\n",
+    "#log Medical\n",
+    "    logs = neo.Log.Medical.get_list()\n",
+    "    for log in logs:\n",
+    "        print(\"Medical:\")\n",
+    "        print(f\"name:       {log.name}\")\n",
+    "        formatted_date = datetime.fromisoformat(log.timestamp).strftime(\"%d.%m.%y %H:%M \")  # Konvertiere in das gewünschte Format\n",
+    "        print(f\"timestamp:  {formatted_date}\")\n",
+    "        print(f\"equipment:  {log.equipment[0].name}\")\n",
+    "\n",
+    "#quantity\n",
+    "        input=neo.Log.Medical.from_id(log.id)\n",
+    "        print(f\"quant_type: {input.quantities[0].type}\")\n",
+    "        print(f\"quant_measure: {input.quantities[0].measure}\")\n",
+    "        print(f\"quant_value: {input.quantities[0].value}\")\n",
+    "        print(f\"quant_inventory_adjustment: {input.quantities[0].inventory_adjustment}\")\n",
+    "\n",
+    "\n",
+    "#log Harvest    \n",
+    "    logs = neo.Log.Harvest.get_list()\n",
+    "    for log in logs:\n",
+    "        print(\"Harvest:\")\n",
+    "        print(f\"name:       {log.name}\")\n",
+    "        formatted_date = datetime.fromisoformat(log.timestamp).strftime(\"%d.%m.%y %H:%M \")  # Konvertiere in das gewünschte Format\n",
+    "        print(f\"timestamp:  {formatted_date}\")\n",
+    "        print(f\"equipment:  {log.equipment[0].name}\")\n",
+    "\n",
+    "#quantity\n",
+    "        input=neo.Log.Harvest.from_id(log.id)\n",
+    "        print(f\"quant_type: {input.quantities[0].type}\")\n",
+    "        print(f\"quant_measure: {input.quantities[0].measure}\")\n",
+    "        print(f\"quant_value: {input.quantities[0].value}\")\n",
+    "        print(f\"quant_inventory_adjustment: {input.quantities[0].inventory_adjustment}\")\n",
+    "\n",
+    "#log Sale    \n",
+    "    logs = neo.Log.Sale.get_list()\n",
+    "    for log in logs:\n",
+    "        print(\"Sale:\")\n",
+    "        print(f\"name:       {log.name}\")\n",
+    "        formatted_date = datetime.fromisoformat(log.timestamp).strftime(\"%d.%m.%y %H:%M \")  # Konvertiere in das gewünschte Format\n",
+    "        print(f\"timestamp:  {formatted_date}\")\n",
+    "\n",
+    "#quantity\n",
+    "        input=neo.Log.Sale.from_id(log.id)\n",
+    "        print(f\"quant_type: {input.quantities[0].type}\")\n",
+    "        print(f\"quant_measure: {input.quantities[0].measure}\")\n",
+    "        print(f\"quant_value: {input.quantities[0].value}\")\n",
+    "        print(f\"quant_inventory_adjustment: {input.quantities[0].inventory_adjustment}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "743232d5-48d1-49f3-8b5f-4fd499e2126e",
+   "metadata": {
+    "jupyter": {
+     "source_hidden": true
+    }
+   },
+   "outputs": [],
+   "source": [
+    "#log Purchase\n",
+    "import neofarm.lib as neo\n",
+    "from datetime import datetime\n",
+    "\n",
+    "logs = neo.Log.Purchase.get_list()\n",
+    "for log in logs:\n",
+    "    print(\"Purchase:\")\n",
+    "    print(f\"name:       {log.name}\")\n",
+    "    formatted_date = datetime.fromisoformat(log.timestamp).strftime(\"%d.%m.%y %H:%M \")  # Konvertiere in das gewünschte Format\n",
+    "    print(f\"timestamp:  {formatted_date}\")        \n",
+    "    \n",
+    "#quantity\n",
+    "    input=neo.Log.Purchase.from_id(log.id)\n",
+    "\n",
+    "    print(f\"quant0_type: {input.quantities[0].type}\")\n",
+    "    print(f\"quant0_measure: {input.quantities[0].measure}\")\n",
+    "    print(f\"quant0_value: {input.quantities[0].value}\")\n",
+    "    print(f\"quant0_inventory_adjustment: {input.quantities[0].inventory_adjustment}\")\n",
+    "    print(f\"unit0_name: {input.quantities[0].units.name}\")\n",
+    "    print (f\"unit0_price_1: = {input.quantities[0].unit_price}\")\n",
+    "    print (f\"unit0_price_1: = {input.quantities[0].total_price}\")\n",
+    "    print (f\"inventory_asset1: = {input.quantities[0].inventory_asset.name}\")\n",
+    "\n",
+    "\n",
+    "\n",
+    "    if len(input.quantities) > 1:\n",
+    "        print(f\"quant1_type: {input.quantities[1].type}\") \n",
+    "        print(f\"quant1_measure: {input.quantities[1].measure}\")\n",
+    "        print(f\"quant1_value: {input.quantities[1].value}\")\n",
+    "        #print(f\"taxonomy1_name: {input.quantities[1].taxonomy_term.name}\")\n",
+    "  \n",
+    "        print(f\"quant2_type: {input.quantities[2].type}\") \n",
+    "        print(f\"quant2_measure: {input.quantities[2].measure}\")\n",
+    "        print(f\"quant2_value: {input.quantities[2].value}\")       \n",
+    "         \n",
+    " \n",
+    "   \n",
+    "\n",
+    "    "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5d34dcc9-a4b9-423f-91d4-da1958ecc20e",
    "metadata": {},
    "outputs": [],
    "source": []