{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Debugging\n",
    "\n",
    "This notebook shows how to set a knowledge graph forge session in debug mode."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-09-23T18:50:20.068658Z",
     "start_time": "2019-09-23T18:50:19.054054Z"
    }
   },
   "outputs": [],
   "source": [
    "from kgforge.core import KnowledgeGraphForge"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-09-23T18:50:20.127987Z",
     "start_time": "2019-09-23T18:50:20.119390Z"
    }
   },
   "outputs": [],
   "source": [
    "from kgforge.core import Resource"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "from kgforge.specializations.mappings import DictionaryMapping"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data & Mapping"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "scientists = [\n",
    "    {\n",
    "        \"id\": 123,\n",
    "        \"name\": \"Marie Curie\",\n",
    "    },\n",
    "    {\n",
    "        \"id\": 456,\n",
    "        \"name\": \"Albert Einstein\",\n",
    "    },\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "mapping = DictionaryMapping(\"\"\"\n",
    "    id: forge.format(\"identifier\", \"contributions\", x.id)\n",
    "    type: Contribution\n",
    "    agent: forge.resolve(x.name)\n",
    "\"\"\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Not activated"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "forge_1 = KnowledgeGraphForge(\"../../configurations/forge.yml\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<action> resolve\n",
      "<error> ResolvingError: resolving scope or resolver name should be specified in case of multiple available resolvers\n",
      "\n"
     ]
    }
   ],
   "source": [
    "resources_1 = forge_1.map(scientists, mapping)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "resources_1 is None"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Activated"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "def pexc(e: Exception) -> None:\n",
    "    print(f\"{type(e).__name__}: {e}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### at initialization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "forge_2 = KnowledgeGraphForge(\"../../configurations/forge.yml\", debug=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ResolvingError: resolving scope or resolver name should be specified in case of multiple available resolvers\n"
     ]
    }
   ],
   "source": [
    "try:\n",
    "    resources_2 = forge_2.map(scientists, mapping)\n",
    "except Exception as e:\n",
    "    pexc(e)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### on demand"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "forge_3 = KnowledgeGraphForge(\"../../configurations/forge.yml\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "forge_3._debug = True"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ResolvingError: resolving scope or resolver name should be specified in case of multiple available resolvers\n"
     ]
    }
   ],
   "source": [
    "try:\n",
    "    resources_3 = forge_3.map(scientists, mapping)\n",
    "except Exception as e:\n",
    "    pexc(e)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "forge_3._debug = False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<action> resolve\n",
      "<error> ResolvingError: resolving scope or resolver name should be specified in case of multiple available resolvers\n",
      "\n"
     ]
    }
   ],
   "source": [
    "resources_4 = forge_3.map(scientists, mapping)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "resources_4 is None"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.7 (nexusforgelatest)",
   "language": "python",
   "name": "nexusforgelatest"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}