{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Imported modules"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "import scrapping\n",
    "import psycopg2\n",
    "from psycopg2.extras import execute_batch\n",
    "import re\n",
    "import logging\n",
    "import datetime\n",
    "logging.basicConfig(\n",
    "    level=logging.INFO, filename=f'{datetime.datetime.now().strftime(\"%Y-%m-%d_%H-%M-%S\")}.log', filemode='w',\n",
    "    format='%(name)s - %(levelname)s - %(message)s', datefmt='%d-%b-%y %H:%M:%S')\n",
    "# from psycopg2.extensions import register_adapter\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "'NoneType' object is not subscriptable",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "Cell \u001b[1;32mIn[2], line 6\u001b[0m\n\u001b[0;32m      3\u001b[0m \u001b[39mwith\u001b[39;00m \u001b[39mopen\u001b[39m(\u001b[39m'\u001b[39m\u001b[39mproject_list\u001b[39m\u001b[39m'\u001b[39m) \u001b[39mas\u001b[39;00m f:\n\u001b[0;32m      4\u001b[0m     \u001b[39mfor\u001b[39;00m project \u001b[39min\u001b[39;00m f\u001b[39m.\u001b[39mread()\u001b[39m.\u001b[39msplit(\u001b[39m'\u001b[39m\u001b[39m\\n\u001b[39;00m\u001b[39m'\u001b[39m):\n\u001b[0;32m      5\u001b[0m         \u001b[39m# connection = connection.execute(\"insert into raw_texts values (%(id_text)s, %(project_name)s, %(raw_text)s)\", scrap)\u001b[39;00m\n\u001b[1;32m----> 6\u001b[0m         scrap \u001b[39m=\u001b[39m scrapping\u001b[39m.\u001b[39;49mget_raw_english_texts_of_project(project)\n\u001b[0;32m      7\u001b[0m         \u001b[39mtry\u001b[39;00m:\n\u001b[0;32m      8\u001b[0m             execute_batch(connection, \u001b[39m\"\u001b[39m\u001b[39minsert into raw_texts values (\u001b[39m\u001b[39m%(id_text)s\u001b[39;00m\u001b[39m, \u001b[39m\u001b[39m%(project_name)s\u001b[39;00m\u001b[39m, \u001b[39m\u001b[39m%(raw_text)s\u001b[39;00m\u001b[39m)\u001b[39m\u001b[39m\"\u001b[39m, scrap)\n",
      "File \u001b[1;32mc:\\Users\\Saret\\Programming\\C#\\DH\\scrapping.py:46\u001b[0m, in \u001b[0;36mget_raw_english_texts_of_project\u001b[1;34m(project_dirname)\u001b[0m\n\u001b[0;32m     44\u001b[0m \u001b[39mfor\u001b[39;00m filename \u001b[39min\u001b[39;00m all_paths:\n\u001b[0;32m     45\u001b[0m     cur_json \u001b[39m=\u001b[39m _load_json_from_path(filename)\n\u001b[1;32m---> 46\u001b[0m     project_name \u001b[39m=\u001b[39m cur_json[\u001b[39m'\u001b[39;49m\u001b[39mproject\u001b[39;49m\u001b[39m'\u001b[39;49m]\n\u001b[0;32m     48\u001b[0m     \u001b[39m# # Skip in case we are in saa project and the current sub project is not in neo-assyrian\u001b[39;00m\n\u001b[0;32m     49\u001b[0m     \u001b[39m# if project_dirname == \"saao\" and project_name[-2:] not in SUB_PROJECTS_IN_NEO_ASS:  # TODO: validate\u001b[39;00m\n\u001b[0;32m     50\u001b[0m     \u001b[39m#     continue\u001b[39;00m\n\u001b[0;32m     51\u001b[0m \n\u001b[0;32m     52\u001b[0m     \u001b[39m# id_text = member.get('id_text', \"\") + member.get('id_composite', \"\")\u001b[39;00m\n\u001b[0;32m     53\u001b[0m     \u001b[39m# html_dir = \"/\".join(path.parts[1:-1])\u001b[39;00m\n\u001b[0;32m     54\u001b[0m     url \u001b[39m=\u001b[39m \u001b[39mf\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mhttp://oracc.iaas.upenn.edu/\u001b[39m\u001b[39m{\u001b[39;00mproject_name\u001b[39m}\u001b[39;00m\u001b[39m/\u001b[39m\u001b[39m{\u001b[39;00mcur_json[\u001b[39m'\u001b[39m\u001b[39mtextid\u001b[39m\u001b[39m'\u001b[39m]\u001b[39m}\u001b[39;00m\u001b[39m/html\u001b[39m\u001b[39m\"\u001b[39m\n",
      "\u001b[1;31mTypeError\u001b[0m: 'NoneType' object is not subscriptable"
     ]
    }
   ],
   "source": [
    "conn = psycopg2.connect(\"dbname='dh' user='dh' host='dh.saret.tk' password='qwerty'\")\n",
    "connection = conn.cursor()\n",
    "with open('project_list') as f:\n",
    "    for project in f.read().split('\\n'):\n",
    "        # connection = connection.execute(\"insert into raw_texts values (%(id_text)s, %(project_name)s, %(raw_text)s)\", scrap)\n",
    "        scrap = scrapping.get_raw_english_texts_of_project(project)\n",
    "        try:\n",
    "            execute_batch(connection, \"insert into raw_texts values (%(id_text)s, %(project_name)s, %(raw_text)s)\", scrap)\n",
    "            conn.commit()\n",
    "        except Exception:\n",
    "            with open(project, 'w') as f:\n",
    "                f.write(json.dumps(scrap))\n",
    "            logging.error(f\"Error in {project}:{Exception}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "conn = psycopg2.connect(\"dbname='dh' user='dh' host='dh.saret.tk' password='qwerty'\")\n",
    "connection = conn.cursor()\n",
    "logging.basicConfig(\n",
    "    level=logging.INFO, filename=f'./now.log',\n",
    "    format='%(name)s - %(levelname)s - %(message)s')\n",
    "logging.info('Start')\n",
    "with open('project_list') as f:\n",
    "    project = f.read().split('\\n')[2]\n",
    "    scrap = scrapping.get_raw_english_texts_of_project(project)\n",
    "    execute_batch(connection, \"insert into raw_texts values (%(id_text)s, %(project_name)s, %(raw_text)s)\", scrap)\n",
    "    conn.commit()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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