{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Compare jobs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/Users/valery/Documents/_code/arche/src\n"
     ]
    }
   ],
   "source": [
    "%cd ../../../src"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<script type=\"text/javascript\">window.PlotlyConfig = {MathJaxConfig: 'local'};</script><script type=\"text/javascript\">if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}</script><script>requirejs.config({paths: { 'plotly': ['https://cdn.plot.ly/plotly-latest.min']},});if(!window._Plotly) {require(['plotly'],function(plotly) {window._Plotly=plotly;});}</script>"
      ],
      "text/vnd.plotly.v1+html": [
       "<script type=\"text/javascript\">window.PlotlyConfig = {MathJaxConfig: 'local'};</script><script type=\"text/javascript\">if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}</script><script>requirejs.config({paths: { 'plotly': ['https://cdn.plot.ly/plotly-latest.min']},});if(!window._Plotly) {require(['plotly'],function(plotly) {window._Plotly=plotly;});}</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from arche import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "a = Arche(source=\"381798/1/2\", target=\"381798/1/1\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's use the schema from Basics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "a.schema = {\n",
    "    \"$schema\": \"http://json-schema.org/draft-07/schema#\",\n",
    "    \"definitions\": {\n",
    "        \"float\": {\n",
    "            \"pattern\": \"^-?[0-9]+\\\\.[0-9]{2}$\"\n",
    "        },\n",
    "        \"url\": {\n",
    "            \"pattern\": \"^https?://(www\\\\.)?[a-z0-9.-]*\\\\.[a-z]{2,}([^<>%\\\\x20\\\\x00-\\\\x1f\\\\x7F]|%[0-9a-fA-F]{2})*$\"\n",
    "        }\n",
    "    },\n",
    "    \"additionalProperties\": False,\n",
    "    \"type\": \"object\",\n",
    "    \"properties\": {\n",
    "        \"category\": {\"type\": \"string\", \"tag\": [\"category\"]},\n",
    "        \"price\": {\"type\": \"string\", \"pattern\": \"^£\\d{2}.\\d{2}$\"},\n",
    "        \"_type\": {\"type\": \"string\"},\n",
    "        \"description\": {\"type\": \"string\"},\n",
    "        \"title\": {\"type\": \"string\", \"tag\": [\"unique\"]},\n",
    "        \"_key\": {\"type\": \"string\"}\n",
    "    },\n",
    "    \"required\": [\n",
    "        \"_key\",\n",
    "        \"_type\",\n",
    "        \"category\",\n",
    "        \"description\",\n",
    "        \"price\",\n",
    "        \"title\"\n",
    "    ]\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "bee15172dbf54d8ea7fce5e73b57dfb7",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(IntProgress(value=0, description='JSON Schema Validation', max=1000, style=ProgressStyle(descri…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "Job Outcome:\n",
      "\tFinished\n",
      "\n",
      "Job Errors:\n",
      "\tNo errors\n",
      "\n",
      "Responses Per Item Ratio:\n",
      "\tNumber of responses / Number of scraped items - 1.05\n",
      "\n",
      "Total Scraped Items:\n",
      "\tSame number of items\n",
      "\n",
      "Compare Runtime:\n",
      "\tSimilar or better runtime - 0:00:49.589000 and 0:00:55.089000\n",
      "\n",
      "Finish Time:\n",
      "\tLess than 1 day difference\n",
      "\n",
      "Fields Coverage:\n",
      "\tPASSED\n",
      "\n",
      "Boolean Fields:\n",
      "\tSKIPPED\n",
      "\n",
      "JSON Schema Validation:\n",
      "\u001b[31m\u001b[0m\t1000 items were checked, 1 error(s)\u001b[0m\n",
      "\n",
      "Tags:\n",
      "\tUsed - category, unique\n",
      "\tNot used - name_field, product_price_field, product_price_was_field, product_url_field\n",
      "\n",
      "Compare Price Was And Now:\n",
      "\tproduct_price_field or product_price_was_field tags were not found in schema\n",
      "\n",
      "Uniqueness:\n",
      "\u001b[31m\u001b[0m\t'title' contains 1 duplicated value(s)\u001b[0m\n",
      "\n",
      "Duplicated Items:\n",
      "\t'name_field' and 'product_url_field' tags were not found in schema\n",
      "\n",
      "Coverage For Scraped Categories:\n",
      "\t50 categories in 'category'\n",
      "\n",
      "Compare Prices For Same Urls:\n",
      "\tproduct_url_field tag is not set\n",
      "\n",
      "Compare Names Per Url:\n",
      "\tproduct_url_field tag is not set\n",
      "\n",
      "Compare Prices For Same Names:\n",
      "\tname_field tag is not set\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "Coverage Difference (1 message(s)):\n"
     ]
    },
    {
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