{
 "cells": [
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   "execution_count": null,
   "id": "f512fba3-877f-411e-935c-0c878d478b2d",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "import neofarm.lib as neo\n",
    "import importlib\n",
    "importlib.reload(neo)\n",
    "\n",
    "plant = neo.Plant.from_id(\"76f89f82-1238-43bb-b34f-796a92d491a2\")\n",
    "print(plant.name)\n",
    "\n",
    "\n",
    "seedings = neo.Seeding.get_list()\n",
    "for seeding in seedings:\n",
    "    plant = seeding.getPlant()\n",
    "    equipment = seeding.equipment[0]\n",
    "    quantity1 = seeding.quantities[0]\n",
    "    quantity2 = seeding.quantities[1]\n",
    "    print(f\"name:       {seeding.name}\")\n",
    "    print(f\"timestamp:  {seeding.timestamp}\")\n",
    "    print(f\"plant name: {plant.name}\")\n",
    "    print(f\"plant crop: {plant.crop[0].name}\")\n",
    "    print(f\"plant loc:  {plant.location[0].name}\")\n",
    "    print(f\"equipment:  {equipment.name}\")\n",
    "    print(f\"isMovement: {seeding.isMovement}\")\n",
    "    print(f\"Q1 type:    {quantity1.type}\")\n",
    "    print(f\"Q1 measure: {quantity1.measure}\")\n",
    "    print(f\"Q1 value:   {quantity1.value}\")\n",
    "    print(f\"Q1 units:   {quantity1.units.name}\")\n",
    "    print(f\"Q1 inv adj: {quantity1.inventory_adjustment}\")\n",
    "    print(f\"Q1 inv ass: {quantity1.inventory_asset.name}\")\n",
    "    print(f\"Q2 type:    {quantity2.type}\")\n",
    "    print(f\"Q2 measure: {quantity2.measure}\")\n",
    "    print(f\"Q2 value:   {quantity2.value}\")\n",
    "    print(f\"Q2 units:   {quantity2.units.name}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fdf49f3b-3949-4895-97fb-f5bd2484fce3",
   "metadata": {
    "jupyter": {
     "source_hidden": true
    }
   },
   "outputs": [],
   "source": [
    "import neofarm.lib as neo\n",
    "import importlib\n",
    "importlib.reload(neo)\n",
    "\n",
    "inputs = neo.Input.get_list()\n",
    "for element in inputs:\n",
    "    #equipment = element.equipment[0]\n",
    "    print(f\"name:       {element.name}\")\n",
    "    print(f\"timestamp:  {element.timestamp}\")\n",
    "    print(f\"plant name: {element.plant.name}\")\n",
    "    print(f\"plant crop: {element.plant.crop[0].name}\")\n",
    "    print(f\"plant loc:  {element.plant.location[0].name}\")\n",
    "    print(f\"equipment:  {element.equipment[0].name}\")\n",
    "    print(f\"isMovement: {element.isMovement}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "28598d92-24f2-47cb-bb19-9943800eefe1",
   "metadata": {
    "jupyter": {
     "source_hidden": true
    }
   },
   "outputs": [],
   "source": [
    "import neofarm.lib as neo\n",
    "import importlib\n",
    "importlib.reload(neo)\n",
    "\n",
    "data = neo.Harvest.get_list()\n",
    "for element in data:\n",
    "    #equipment = element.equipment[0]\n",
    "    print(f\"name:       {element.name}\")\n",
    "    print(f\"timestamp:  {element.timestamp}\")\n",
    "    print(f\"plant name: {element.plant.name}\")\n",
    "    print(f\"plant crop: {element.plant.crop[0].name}\")\n",
    "    print(f\"plant loc:  {element.plant.location[0].name}\")\n",
    "    print(f\"equipment:  {element.equipment[0].name}\")\n",
    "    print(f\"isMovement: {element.isMovement}\")\n",
    "    print(f\"Name vom Inventory asset von der Quantity: {element.quantities[0].inventory_asset.name}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a993570d-dea2-4bd6-80c0-b36297ce6a3a",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Beispiel\n",
    "import neofarm.lib as neo\n",
    "\n",
    "if __name__ == \"__main__\":\n",
    "    asset = neo.Asset.Plant.from_id(\"76f89f82-1238-43bb-b34f-796a92d491a2\")\n",
    "    logs = asset.get_logs_of_type(neo.Log.Activity)\n",
    "    for log in logs:\n",
    "        print(log.name)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "3a33ffb1-afe7-44b5-863b-9779a95a2a9c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "PlantName: W-Raps Helmacker Plant 24/25\n",
      "Maintenance:\n",
      "name:       Scheibeneggen Helmacker Maintenance 24/25\n",
      "timestamp:  28.07.24 11:34 \n",
      "equipment:  Scheibenegge Catros\n",
      "quant_type: quantity--price\n",
      "quant_measure: time\n",
      "quant_value: 2\n",
      "quant_inventory_adjustment: None\n",
      "Seeding:\n",
      "name:       W-Raps Otello KWS Helmacker Seeding 24/25\n",
      "timestamp:  22.08.24 22:00 \n",
      "equipment:  Sähmaschine Cataya\n",
      "plant loc:  Helmacker\n",
      "quant_type: quantity--standard\n",
      "quant_measure: weight\n",
      "quant_value: 50\n",
      "quant_inventory_adjustment: decrement\n",
      "Input:\n",
      "name:       Innovert Raps Input 24/25\n",
      "timestamp:  12.10.24 13:18 \n",
      "equipment:  Spritze\n",
      "quant_type: quantity--standard\n",
      "quant_measure: volume\n",
      "quant_value: 10\n",
      "quant_inventory_adjustment: decrement\n",
      "Input:\n",
      "name:       Innovert Raps Input 24/25\n",
      "timestamp:  03.11.24 23:00 \n",
      "equipment:  Spritze\n",
      "quant_type: quantity--standard\n",
      "quant_measure: volume\n",
      "quant_value: 10\n",
      "quant_inventory_adjustment: decrement\n",
      "Medical:\n",
      "name:       Schneckenkorn Medical 24/25\n",
      "timestamp:  30.08.24 06:42 \n",
      "equipment:  Schneckenkornstreuer Leinfelder\n",
      "Harvest:\n",
      "name:       W-Raps Helmacker  Harvest 24/25\n",
      "timestamp:  20.10.24 10:11 \n",
      "equipment:  Mähdrescher Leinfelder\n",
      "Sale:\n",
      "name:       W-Raps Sale 24/25\n",
      "timestamp:  28.10.24 07:54 \n"
     ]
    }
   ],
   "source": [
    "# alle logs von einem Plant\n",
    "import neofarm.lib as neo\n",
    "from datetime import datetime\n",
    "\n",
    "if __name__ == \"__main__\":\n",
    "    asset = neo.Asset.Plant.from_id(\"76f89f82-1238-43bb-b34f-796a92d491a2\")\n",
    "    \n",
    "    PlantName = \"W-Raps Helmacker Plant 24/25\" \n",
    "    print(f\"PlantName: {PlantName}\")\n",
    "    \n",
    "    logs = asset.get_logs_of_type(neo.Log.Maintenance)\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",
    "\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].unit_price.decimal}\")\n",
    "\n",
    "    \t\n",
    "        \n",
    "    logs = asset.get_logs_of_type(neo.Log.Seeding)\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",
    "\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",
    "    \t\n",
    "\n",
    "        \n",
    "    logs = asset.get_logs_of_type(neo.Log.Input)\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",
    "\n",
    "\n",
    "\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",
    "   \n",
    "    logs = asset.get_logs_of_type(neo.Log.Medical)\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",
    "    logs = asset.get_logs_of_type(neo.Log.Harvest)\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",
    "    logs = asset.get_logs_of_type(neo.Log.Sale)\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}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ce30a9db-735e-4174-ad56-0f0079ab04c6",
   "metadata": {},
   "outputs": [],
   "source": [
    "#alle logs von einem Plant in Tabelle\n",
    "import neofarm.lib as neo\n",
    "import pandas as pd\n",
    "from datetime import datetime\n",
    "\n",
    "if __name__ == \"__main__\":\n",
    "    asset = neo.Asset.Plant.from_id(\"76f89f82-1238-43bb-b34f-796a92d491a2\")\n",
    "    \n",
    "    # Definiere den Pflanzennamen\n",
    "    PlantName = \"W-Raps Helmacker Plant 24/25\"\n",
    "    print(f\"PlantName: {PlantName}\")\n",
    "    \n",
    "    # Erstelle eine Liste, in der die Log-Daten für die Tabelle gesammelt werden\n",
    "    data = []\n",
    "\n",
    "    # Funktion, um die Logs zu verarbeiten und zur Tabelle hinzuzufügen\n",
    "    def process_logs(logs, log_type):\n",
    "        for log in logs:\n",
    "            formatted_date = datetime.fromisoformat(log.timestamp).strftime(\"%d.%m.%y %H:%M\")\n",
    "            equipment_name = log.equipment[0].name if log.equipment else \"\"\n",
    "            location_name = log.location[0].name if hasattr(log, 'location') and log.location else \"\"\n",
    "            data.append({\n",
    "                #\"PlantName\": PlantName,\n",
    "                \"LogType\": log_type,\n",
    "                \"Name\": log.name,\n",
    "                \"Timestamp\": formatted_date,\n",
    "                \"Equipment\": equipment_name,\n",
    "                \"Location\": location_name\n",
    "            })\n",
    "\n",
    "    # Verarbeite die verschiedenen Log-Typen\n",
    "    process_logs(asset.get_logs_of_type(neo.Log.Maintenance), \"Maintenance\")\n",
    "    process_logs(asset.get_logs_of_type(neo.Log.Seeding), \"Seeding\")\n",
    "    process_logs(asset.get_logs_of_type(neo.Log.Input), \"Input\")\n",
    "    process_logs(asset.get_logs_of_type(neo.Log.Medical), \"Medical\")\n",
    "    process_logs(asset.get_logs_of_type(neo.Log.Harvest), \"Harvest\")\n",
    "    process_logs(asset.get_logs_of_type(neo.Log.Sale), \"Sale\")\n",
    "\n",
    "    # Erstelle ein DataFrame aus den gesammelten Daten und zeige es an\n",
    "    df = pd.DataFrame(data)\n",
    "    display(df)\n"
   ]
  },
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   "cell_type": "code",
   "execution_count": null,
   "id": "649e4d8e-c3a9-4d5f-9bdf-9427f416fca9",
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   "outputs": [],
   "source": []
  }
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