prepare to 1 3 1

Sources/GuideSphinx/Orchestrator/01_Orchestrator.rst

@@ -21,6 +21,10 @@
 - Ролевая модель разграничения доступа
 - Функциональность очередей для координации роботов
 
+В качестве основы для web сервера используется один из самых прогрессивных и производительных фреймворков от FastAPI.
+
+Пример использования FastAPI см. в GIT/Orchestrator/config.py
+
 ************************************************************************
 Концепция единого глобального словаря настроек (GSettings)
 ************************************************************************

Sources/GuideSphinx/Robot/09_HowToUse.rst

@@ -4,6 +4,20 @@
 
 Модуль РОБОТ - это ключевое звено, которое отвечает за продуктивную роботизацию процесса. Данный модуль не имеет графический или консольный интерфейс - он подключается в качестве библиотеки в проект робота, что позволяет выполнять операции максимально быстро. А также позволяет с легкостью интегрировать робота в другие проекты.
 
+
+**************************************************
+Быстрый запуск (Quickstart)
+**************************************************
+
+Платформа pyOpenRPA содержит инструменты быстрого прототипирования роботов. Вы можете провести серию экспериментов роботизации без развертывания полноценной инфраструктуры робота - в рамках одного уже преднастроенного файла.
+
+Для быстрого запуска робота необходимо:
+
+- Открыть Jupyter-notebooks: GIT\Tools\Jupyter-notebooks\start.cmd (для Windows) или GIT\Tools\Jupyter-notebooks\start.sh (для Linux). Откроется окно консоли, в которой будет отображен адрес для входа на веб страницу Jupyter-notebooks.
+- В web окне Jupyter-notebooks открыть Quickstart\Robot.ipynb 
+
+Быстрая инфраструктура для прототипирования робота готова!
+
 **************************************************
 Как запустить скрипт робота?
 **************************************************
@@ -12,6 +26,7 @@
 
 - Скрипт Python (файл .py)
 - Скрипт в Студии pyOpenRPA
+- Скрипт в Jupyter (см. раздел "Быстрый запуск")
 
 
 Скрипт Python (файл .py)

Sources/pyOpenRPA/Resources/Web/orpa/orc.xhtml

@@ -423,13 +423,13 @@
 						<i class="right arrow icon"></i>
 					</div>
 				</div>
-				<div class="ui animated button openrpa-control-gitrestartorchestrator teal UACClient-pyOpenRPADict-AdminDict-RestartOrchestratorGITPullBool" onclick="mGlobal.Controller.OrchestratorGITPullRestart();" style="display: none; margin-top: 5px;">
+				<div class="ui animated button openrpa-control-gitrestartorchestrator teal UACClient-pyOpenRPADict-AdminDict-RestartOrchestratorGITPullBool disabled" onclick="mGlobal.Controller.OrchestratorGITPullRestart();" style="display: none; margin-top: 5px;">
 					<div class="visible content">Обновить из GIT</div>
 						<div class="hidden content">
 						<i class="right arrow icon"></i>
 					</div>
 				</div>
-				<div class="ui animated button openrpa-control-restartpc red UACClient-pyOpenRPADict-AdminDict-RestartPCBool" onclick="mGlobal.Controller.PCRestart();" style="display: none; margin-top: 5px;">
+				<div class="ui animated button openrpa-control-restartpc red UACClient-pyOpenRPADict-AdminDict-RestartPCBool disabled" onclick="mGlobal.Controller.PCRestart();" style="display: none; margin-top: 5px;">
 					<div class="visible content">Перезагрузить ОС</div>
 						<div class="hidden content">
 						<i class="right arrow icon"></i>

Tools/Jupyter-notebooks/Quickstart/.ipynb_checkpoints/Robot-checkpoint.ipynb

@@ -1,5 +1,19 @@
 {
  "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Робот: быстрый запуск (quickstart) "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Уважаемый пользователь! Данный файл содержит набор преднастроенных команд для ускоренной проверки гипотез роботизации. В"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 1,

Tools/Jupyter-notebooks/Quickstart/Robot.ipynb

@@ -0,0 +1,488 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Робот: быстрый запуск (quickstart) "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Уважаемый пользователь! Данный файл содержит набор преднастроенных команд для ускоренной проверки гипотез роботизации. Вся необходимая инфраструктура pyOpenRPA доступна - осуществляйте разработку максимально быстро и комфортно!\n",
+    "\n",
+    "**Центр поддержки клиентов pyOpenRPA:**\n",
+    "- ⚡ Телеграм: @pyOpenRPA_Support \n",
+    "- ⚡ Почта: Support@pyOpenRPA.ru \n",
+    "- ⚡ Телефон: +7 995 233 45 31 \n",
+    "\n",
+    "❤️ pyOpenRPA - роботы помогут!"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Шаг 1 - Загрузка последней версии pyOpenRPA"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "OSError",
+     "evalue": "Failed to read screencontact.PNG because file is missing, has improper permissions, or is an unsupported or invalid format",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[1;31mOSError\u001b[0m                                   Traceback (most recent call last)",
+      "\u001b[1;32m<ipython-input-1-df60de5fdc65>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      8\u001b[0m \u001b[1;31m# Screen: Взаимодействие с объектами экрана\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      9\u001b[0m \u001b[1;32mfrom\u001b[0m \u001b[0mpyOpenRPA\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mRobot\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mScreen\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 10\u001b[1;33m \u001b[0mlBoxList\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mScreen\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mImageLocateAll\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0minImgPathStr\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m\"screencontact.PNG\"\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0minConfidenceFloat\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m0.9\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     11\u001b[0m \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mlBoxList\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+      "\u001b[1;32mC:\\Abs\\Archive\\scopeSrcUL\\pyOpenRPA\\Sources\\pyOpenRPA\\Robot\\Screen.py\u001b[0m in \u001b[0;36mImageLocateAll\u001b[1;34m(inImgPathStr, inIsGrayModeBool, inConfidenceFloat)\u001b[0m\n\u001b[0;32m    543\u001b[0m     \u001b[1;32mif\u001b[0m \u001b[0minConfidenceFloat\u001b[0m \u001b[1;32mis\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m:\u001b[0m \u001b[0mlLocateList\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mpyautogui\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mlocateAllOnScreen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mimage\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0minImgPathStr\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mgrayscale\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0minIsGrayModeBool\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    544\u001b[0m     \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m \u001b[0mlLocateList\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mpyautogui\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mlocateAllOnScreen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mimage\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0minImgPathStr\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mgrayscale\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0minIsGrayModeBool\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mconfidence\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0minConfidenceFloat\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 545\u001b[1;33m     \u001b[1;32mfor\u001b[0m \u001b[0mlItem\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mlLocateList\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    546\u001b[0m         \u001b[0mlResult\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mlItem\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    547\u001b[0m     \u001b[1;32mreturn\u001b[0m \u001b[0mlResult\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+      "\u001b[1;32mC:\\Abs\\Archive\\scopeSrcUL\\pyOpenRPA\\Resources\\WPy64-3720\\python-3.7.2.amd64\\lib\\site-packages\\pyscreeze\\__init__.py\u001b[0m in \u001b[0;36m_locateAll_opencv\u001b[1;34m(needleImage, haystackImage, grayscale, limit, region, step, confidence)\u001b[0m\n\u001b[0;32m    144\u001b[0m     \u001b[0mconfidence\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mfloat\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mconfidence\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    145\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 146\u001b[1;33m     \u001b[0mneedleImage\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0m_load_cv2\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mneedleImage\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mgrayscale\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    147\u001b[0m     \u001b[0mneedleHeight\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mneedleWidth\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mneedleImage\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;36m2\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    148\u001b[0m     \u001b[0mhaystackImage\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0m_load_cv2\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mhaystackImage\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mgrayscale\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+      "\u001b[1;32mC:\\Abs\\Archive\\scopeSrcUL\\pyOpenRPA\\Resources\\WPy64-3720\\python-3.7.2.amd64\\lib\\site-packages\\pyscreeze\\__init__.py\u001b[0m in \u001b[0;36m_load_cv2\u001b[1;34m(img, grayscale)\u001b[0m\n\u001b[0;32m    111\u001b[0m             raise IOError(\"Failed to read %s because file is missing, \"\n\u001b[0;32m    112\u001b[0m                           \u001b[1;34m\"has improper permissions, or is an \"\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 113\u001b[1;33m                           \"unsupported or invalid format\" % img)\n\u001b[0m\u001b[0;32m    114\u001b[0m     \u001b[1;32melif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mimg\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mnumpy\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mndarray\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    115\u001b[0m         \u001b[1;31m# don't try to convert an already-gray image to gray\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+      "\u001b[1;31mOSError\u001b[0m: Failed to read screencontact.PNG because file is missing, has improper permissions, or is an unsupported or invalid format"
+     ]
+    }
+   ],
+   "source": [
+    "import sys\n",
+    "import os\n",
+    "sys.path.insert(0, os.path.abspath(\"..\\\\..\\\\Sources\"))\n",
+    "sys.path.insert(0, os.path.abspath(\"..\\\\..\\\\..\\\\KPI_Effect\\\\packages\"))\n",
+    "import time\n",
+    "from pyOpenRPA.Robot import Keyboard\n",
+    "\n",
+    "# Screen: Взаимодействие с объектами экрана\n",
+    "from pyOpenRPA.Robot import Screen\n",
+    "lBoxList = Screen.ImageLocateAll(inImgPathStr=\"screencontact.PNG\",inConfidenceFloat=0.9)\n",
+    "print(lBoxList)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#ИМПОРТ ДИРЕКТОРИИ\n",
+    "import sys\n",
+    "import os\n",
+    "sys.path.insert(0, os.path.abspath(\"..\\\\..\\\\..\\\\KPI_Effect\\\\packages\"))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[Box(left=500, top=244, width=29, height=29), Box(left=500, top=298, width=29, height=29), Box(left=500, top=352, width=29, height=29), Box(left=500, top=406, width=29, height=29), Box(left=500, top=460, width=29, height=29), Box(left=500, top=514, width=29, height=29), Box(left=500, top=568, width=29, height=29), Box(left=500, top=622, width=29, height=29), Box(left=500, top=676, width=29, height=29), Box(left=500, top=730, width=29, height=29), Box(left=500, top=784, width=29, height=29), Box(left=500, top=838, width=29, height=29)]\n"
+     ]
+    }
+   ],
+   "source": [
+    "lBox2List = Screen.BoxMoveTo(inBox=lBoxList,inDXInt=-50)\n",
+    "print(lBox2List)\n",
+    "Screen.BoxDraw(inBox = lBox2List)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "lPoint = Screen.BoxGetPoint(lBox2List[0])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "Screen.PointClick(lPoint)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[Box(left=489, top=243, width=46, height=32)]\n"
+     ]
+    }
+   ],
+   "source": [
+    "lBoxList = Screen.ImageLocateAll(inImgPathStr=\"sendmessage.PNG\",inConfidenceFloat=0.9)\n",
+    "print(lBoxList)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "Screen.PointClick(Screen.BoxGetPoint(Screen.ImageLocateAll(inImgPathStr=\"sendmessage.PNG\",inConfidenceFloat=0.9)[0]))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[Box(left=169, top=193, width=409, height=687)]"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "Screen.ImageLocateAll(inImgPathStr=\"emptytray.PNG\",inConfidenceFloat=0.9)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import importlib"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "123\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<module 'pak.test' from 'C:\\\\Abs\\\\Archive\\\\scopeSrcUL\\\\pyOpenRPA\\\\Tools\\\\Jupyter-notebooks\\\\pak\\\\test.py'>"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "importlib.import_module(\".test\",\"pak\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import sys"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<module 'pak' (namespace)>"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "sys.modules[\"pak\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import datetime"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "datetime.datetime(2022, 9, 26, 20, 58, 26, 931399)"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "datetime.datetime.now()+datetime.timedelta(hours=3)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "datetime.timedelta(seconds=10800)"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "datetime.timedelta(hours=3)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'2022-09-26 17:59:17'"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "g_datetime_format_str = '%Y-%m-%d %H:%M:%S'\n",
+    "(datetime.datetime.now()).strftime(g_datetime_format_str)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import time"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "datetime.datetime(2022, 9, 26, 18, 1, 58, 924492)"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "datetime.datetime.fromtimestamp(time.time())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "False"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "\"\".endswith(\"/\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "ImportError",
+     "evalue": "cannot import name 'kpi_client' from '__main__' (unknown location)",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[1;31mImportError\u001b[0m                               Traceback (most recent call last)",
+      "\u001b[1;32m<ipython-input-15-2f86ae4ce68c>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[1;32mfrom\u001b[0m \u001b[1;33m.\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mkpi_client\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[1;31mImportError\u001b[0m: cannot import name 'kpi_client' from '__main__' (unknown location)"
+     ]
+    }
+   ],
+   "source": [
+    "from . import kpi_client"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#ИМПОРТ ДИРЕКТОРИИ\n",
+    "import sys\n",
+    "import os\n",
+    "sys.path.insert(0, os.path.abspath(\"..\\\\..\\\\..\\\\KPI_Effect\\\\packages\"))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import kpi_client\n",
+    "kpi_client.init(\"http://localhost:1024\", \"1992-04-03-0643-ru-b4ff-openrpa52zzz\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "-----------START-----------\n",
+      "POST http://localhost:1024/orpa/api/activity-list-execute\r\n",
+      "Content-Type: application/x-www-form-urlencoded; charset=UTF-8\r\n",
+      "Cookie: AuthToken=1992-04-03-0643-ru-b4ff-openrpa52zzz\r\n",
+      "Content-Length: 466\r\n",
+      "\r\n",
+      "b'[{\"Def\": \"kpi_control_panel.actions.log\", \"ArgList\": [], \"ArgDict\": {\"in_code_str\": \"asd\", \"in_group_str\": \"\\\\u041f\\\\u0440\\\\u0438\\\\u0432\\\\u0435\\\\u0442!\", \"in_manual_operation_float\": 190, \"in_auto_operation_float\": 88, \"in_start_time_float\": 123124, \"in_comment_str\": \"-\", \"in_count_int\": 1, \"in_sla_percent_float\": 1.0, \"in_dev_next_mvp_float\": 1.0, \"in_revenue_float\": 0.0, \"in_fine_float\": 0.0, \"in_reputation_str\": \"-\"}, \"ArgGSettingsStr\": null, \"ArgLoggerStr\": null}]'\n"
+     ]
+    }
+   ],
+   "source": [
+    "kpi_client.log(in_code_str=\"asd\",in_group_str=\"Привет!\",in_manual_operation_float=190, in_auto_operation_float=88, in_start_time_float=123124)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.2"
+  },
+  "varInspector": {
+   "cols": {
+    "lenName": 16,
+    "lenType": 16,
+    "lenVar": 40
+   },
+   "kernels_config": {
+    "python": {
+     "delete_cmd_postfix": "",
+     "delete_cmd_prefix": "del ",
+     "library": "var_list.py",
+     "varRefreshCmd": "print(var_dic_list())"
+    },
+    "r": {
+     "delete_cmd_postfix": ") ",
+     "delete_cmd_prefix": "rm(",
+     "library": "var_list.r",
+     "varRefreshCmd": "cat(var_dic_list()) "
+    }
+   },
+   "types_to_exclude": [
+    "module",
+    "function",
+    "builtin_function_or_method",
+    "instance",
+    "_Feature"
+   ],
+   "window_display": false
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}