{ "cells": [ { "cell_type": "code", "execution_count": null, "id": "169c0692-3e33-47f6-9658-4a7364f59bda", "metadata": {}, "outputs": [], "source": [ "import re\n", "import json\n", "import pickle\n", "from pathlib import Path\n", "from collections import OrderedDict, defaultdict\n", "from tqdm import tqdm\n", "from utils_sel import *\n", "from bs4 import BeautifulSoup, NavigableString, Tag, Comment\n", "from selenium.webdriver.common.by import By\n", "from selenium.webdriver.support.ui import WebDriverWait\n", "from selenium.webdriver.support import expected_conditions as EC\n", "from selenium.common.exceptions import NoSuchElementException" ] }, { "cell_type": "markdown", "id": "90220fd2-e0d8-43db-8f8f-d9da53a58914", "metadata": {}, "source": [ "## Helper Funcs for this site" ] }, { "cell_type": "code", "execution_count": null, "id": "d930923b-a101-41fe-8b71-b053efb96279", "metadata": {}, "outputs": [], "source": [ "def all_strip(finder, css_selector, by_arg=By.CSS_SELECTOR):\n", " \"\"\"Returns a list of stripped texts found by the selector\"\"\"\n", " return [elem.text.strip() for elem in finder.find_elements(by_arg, css_selector)]\n", "\n", "def get_category_num(driver):\n", " \"\"\"In default context\"\"\"\n", " category = ' - '.join(all_strip(driver, 'li.breadcrumb-item'))\n", " if len(category) == 0:\n", " driver.switch_to.default_content()\n", " driver.implicitly_wait(2)\n", " category = ' - '.join(all_strip(driver, 'li.breadcrumb-item'))\n", " question_num = int(re.search(r'/(\\d+)(?=\\?|$)', driver.current_url).group(1))\n", " return category, question_num\n", "\n", "def replace_em(elem, txt):\n", " for em in elem.find_elements(By.CSS_SELECTOR, \"em, i\"):\n", " for emtxt in em.text.split('\\n'):\n", " if len(emtxt) <= 28:\n", " continue\n", " txt = txt.replace(emtxt, \"\")\n", " return txt.strip()\n", "\n", "def no_em_text(elem):\n", " return replace_em(elem, elem.text)\n", "\n", "def get_asblocks(main):\n", " bods = main.find_elements(By.CSS_SELECTOR, 'div.eis-spbody')\n", " return [b for b in bods if len(b.find_elements(By.CSS_SELECTOR, '.asblock'))==1\n", " and len(b.find_elements(By.CSS_SELECTOR, 'div.eis-spbody'))==0] # nested blocks\n", " \n", "def get_non_asblocks(main):\n", " bods = main.find_elements(By.CSS_SELECTOR, 'div.eis-spbody')\n", " return [b for b in bods if len(b.find_elements(By.CSS_SELECTOR, '.asblock'))==0]\n", "\n", "def top_context(main):\n", " bods = [no_em_text(b) for b in get_non_asblocks(main)]\n", " return '\\n\\n'.join(bods).strip()\n", "\n", "def question_spbody(spbody):\n", " quests = spbody.find_elements(By.CSS_SELECTOR, '.asblock')\n", " assert len(quests) == 1\n", " quest = quests[0]\n", " txt = spbody.text\n", " txt = txt.replace(quest.text, \"\")\n", " return replace_em(spbody, txt)\n", "\n", "def goto_questions(driver):\n", " \"\"\"Go from default context to questions iframe\"\"\"\n", " WebDriverWait(driver, 10).until(\n", " EC.frame_to_be_available_and_switch_to_it(0)\n", " )\n", " # mains = driver.find_elements(By.CSS_SELECTOR, 'div.eis-spbody')\n", " # html = get_html_with_images(driver, driver.find_element(By.CSS_SELECTOR, 'div.ylesanne'))\n", " #question = '\\n'.join([no_em_text(elem) for elem in main.find_elements(By.XPATH, 'p')]).strip()\n", " # question = main.find_element(By.XPATH, 'p').text.strip() \n", " main = driver.find_element(By.CSS_SELECTOR, 'div.ylesanne')\n", " html = get_html(driver, main)\n", " question = top_context(main)\n", " return main, html, question\n", "\n", "def get_func_quest(spbody):\n", " \"\"\"On the question context\"\"\"\n", " if len(spbody.find_elements(By.CSS_SELECTOR, \"div.sortables, input[type='text']\")) > 0:\n", " return None, None\n", " func_type = None\n", " main = spbody.find_element(By.CSS_SELECTOR, '.asblock')\n", " drags = main.find_elements(By.CSS_SELECTOR, 'div.draggables')\n", " radios = main.find_elements(By.CSS_SELECTOR, \"input[type='radio']\")\n", " checkboxes = main.find_elements(By.CSS_SELECTOR, \"input[type='checkbox']\")\n", " if len(radios) > 0:\n", " func_type = radio_answer\n", " if len(trs := main.find_elements(By.CSS_SELECTOR, 'tr')) > 0:\n", " func_type = radio_answer_tr\n", " elif len(drags) > 0 and len(main.find_elements(By.CSS_SELECTOR, '.droppable-gap')) == 0:\n", " func_type = None # drag_answer, There are many-to-one also\n", " elif len(checkboxes) > 0:\n", " func_type = checkbox\n", " if len(main.find_elements(By.CSS_SELECTOR, 'th')) > 0:\n", " func_type = checkbox_tr # checkbox_tr multiple\n", " return func_type, question_spbody(spbody)\n", "\n", "def get_coords(d_attribute):\n", " \"\"\"Gets draggable answer's coords\"\"\"\n", " pattern = r\"M(\\d+(?:\\.\\d+)?),(\\d+(?:\\.\\d+)?)L(\\d+(?:\\.\\d+)?),(\\d+(?:\\.\\d+)?)\"\n", " match = re.match(pattern, d_attribute)\n", " start_x, start_y, end_x, end_y = map(float, match.groups())\n", " assert start_x == 0 and end_x == 100\n", " return start_y, end_y\n", "\n", "def drag_answer(main):\n", " \"\"\"From the main answer\"\"\"\n", " drags = main.find_elements(By.CSS_SELECTOR, 'div.draggables')\n", " assert len(drags) > 0\n", " opts = all_strip(drags[1], 'div.draggable')\n", " sub_quests = all_strip(drags[0], 'div.draggable')\n", " matches = [get_coords(elem.get_attribute('d')) for elem in main.find_elements(By.TAG_NAME, 'path')]\n", " assert len(matches) > 0\n", " start_coords = [start for start, _ in matches]\n", " assert sorted(start_coords) == start_coords\n", " assert len(start_coords) == len(set(start_coords))\n", " sorted_matches = sorted((int(start), int(end)) for start, end in matches)\n", " unique_ends = sorted(set(end for _, end in sorted_matches))\n", " end_to_index = {end: i + 1 for i, end in enumerate(unique_ends)}\n", " answers = [str(end_to_index[end]) for _, end in sorted_matches]\n", " return sub_quests, opts, answers\n", "\n", "def radio_answer(main):\n", " radios = main.find_elements(By.CSS_SELECTOR, \"input[type='radio']\")\n", " assert len(radios) > 0\n", " opts = all_strip(main, \"label\")\n", " if len(opts) == 0 or len(opts) != len(radios) or any(o=='' for o in opts): # checkbox in table\n", " return [], [], []\n", " answers = [str([radio.get_property('checked') for radio in radios].index(True) + 1)]\n", " return [''], opts, answers\n", "\n", "def remove_leading_number(txt):\n", " return re.sub(r'^\\d+\\.\\s*', '', txt)\n", "\n", "def radio_answer_tr(main):\n", " trs = main.find_elements(By.CSS_SELECTOR, 'tr')\n", " assert len(trs) > 0\n", " # sub_quests = [e.find_elements(By.CSS_SELECTOR, 'td')[1].text.strip() for e in trs[1:]]\n", " sub_quests = [remove_leading_number(e.text.strip()) for e in trs[1:]]\n", " radss = [e.find_elements(By.CSS_SELECTOR, \"input[type='radio']\") for e in trs[1:]]\n", " opts_elems = trs[0].find_elements(By.CSS_SELECTOR, 'th')[-len(radss[0]):]\n", " opts = [e.text.strip() for e in opts_elems]\n", " if len(opts) == 0 or len(opts) != len(radss[0]) or any(o=='' for o in opts): # checkbox in table\n", " return [], [], []\n", " answers = [str([rad.get_property('checked') for rad in rads].index(True) + 1) for rads in radss]\n", " return sub_quests, opts, answers\n", "\n", "def checkbox(main):\n", " checks = main.find_elements(By.CSS_SELECTOR, \"input[type='checkbox']\")\n", " assert len(checks) > 0\n", " opts = all_strip(main, \"span[uitype='checkbox']\")\n", " if len(opts) == 0:\n", " opts = [c.find_element(By.XPATH, \"..\").text.strip() for c in checks]\n", " if any(len(o)==0 for o in opts):\n", " opts = [c.find_element(By.XPATH, \"../..\").text.strip() for c in checks]\n", " if any(len(o) == 0 for o in opts):\n", " opts = [o for o in all_strip(main, \"td\") if o]\n", " if any(len(o) == 0 for o in opts) or len(opts) != len(checks): # maybe in another td\n", " return [], [], []\n", " answers = [','.join([str(i+1) for i, c in enumerate(checks) if c.get_property('checked')])]\n", " return [''], opts, answers\n", "\n", "def checkbox_tr(main):\n", " trs = main.find_elements(By.CSS_SELECTOR, 'tr')\n", " assert len(trs) > 0\n", " # sub_quests = [e.find_elements(By.CSS_SELECTOR, 'td')[1].text.strip() for e in trs[1:]]\n", " sub_quests = [remove_leading_number(e.text.strip()) for e in trs[1:]]\n", " radss = [e.find_elements(By.CSS_SELECTOR, \"input[type='checkbox']\") for e in trs[1:]]\n", " opts_elems = trs[0].find_elements(By.CSS_SELECTOR, 'th')[-len(radss[0]):]\n", " opts = [e.text.strip() for e in opts_elems]\n", " if len(opts) == 0 or len(opts) != len(radss[0]) or any(o=='' for o in opts): # checkbox in table\n", " return [], [], []\n", " answers = [','.join([str(i+1) for i, c in enumerate(rads) if c.get_property('checked')]) for rads in radss]\n", " return sub_quests, opts, answers\n", "\n", "def goto_answers(driver):\n", " \"\"\"Go from default context to answers iframe\"\"\"\n", " submit_button = driver.find_element(By.ID, 'salvesta_ja_kinnita')\n", " try:\n", " submit_button.click()\n", " except:\n", " pass\n", " WebDriverWait(driver, 10).until(\n", " EC.frame_to_be_available_and_switch_to_it(1)\n", " )\n", " show_button = driver.find_elements(By.ID, 'show_correct')\n", " if len(show_button) == 0:\n", " return None, None, None\n", " show_button[0].click()\n", " driver.switch_to.default_content()\n", " popup = WebDriverWait(driver, 10).until(\n", " EC.presence_of_element_located((By.ID, 'correct'))\n", " )\n", " popup_iframe = popup.find_element(By.TAG_NAME, 'iframe')\n", " driver.switch_to.frame(popup_iframe)\n", " main = driver.find_element(By.CSS_SELECTOR, 'div.ylesanne')\n", " html = get_html(driver, main)\n", " image = main.screenshot_as_png\n", " return main, html, image\n", "\n", "def goto_next_page(driver):\n", " driver.switch_to.default_content()\n", " close = driver.find_elements(By.CSS_SELECTOR, 'button.close[data-dismiss=\"modal\"]')\n", " if close:\n", " close[0].click()\n", " url = driver.current_url\n", " next_button = driver.find_element(By.ID, 'järgmine')\n", " next_button.click()\n", " WebDriverWait(driver, 10).until(EC.url_changes(url))" ] }, { "cell_type": "markdown", "id": "9627517a-2316-474b-8a86-d9bf1f128fa4", "metadata": {}, "source": [ "## Need to solve captcha to initialize" ] }, { "cell_type": "code", "execution_count": null, "id": "55e75505-b0dc-4046-8bbc-f2bd6de9e17c", "metadata": {}, "outputs": [], "source": [ "HOME_URL = \"https://eis.ekk.edu.ee/eis/lahendamine\"\n", "SAVE_PATH = Path('./estonian_varied_exams/')" ] }, { "cell_type": "code", "execution_count": null, "id": "176239e7-58c4-46e1-b837-5f167eaf657a", "metadata": {}, "outputs": [], "source": [ "driver = get_driver(production=False)\n", "driver.get(HOME_URL) # Needs Manual Recaptcha Challenge, then click the accept cookies" ] }, { "cell_type": "code", "execution_count": null, "id": "50044044-504c-4095-a7db-7d873ba85943", "metadata": {}, "outputs": [], "source": [ "first_link = driver.find_element(By.CSS_SELECTOR, 'a.LISTPOST')\n", "first_link.click()" ] }, { "cell_type": "code", "execution_count": null, "id": "1f0de212-2e8c-4f2d-a512-06e9e818a2ad", "metadata": {}, "outputs": [], "source": [ "data_list = []\n", "raw_data = OrderedDict()" ] }, { "cell_type": "markdown", "id": "4aecce6a-0da7-4b2c-846d-618794e07f3d", "metadata": {}, "source": [ "## Main-Loop" ] }, { "cell_type": "code", "execution_count": null, "id": "5547abf2-27c6-47a4-b830-a80a97900ed7", "metadata": { "scrolled": true }, "outputs": [], "source": [ "for i in range(871): # 871\n", " category, num = get_category_num(driver)\n", " print(f'------------{num:05}------------')\n", " main_q, html_q, question = goto_questions(driver)\n", " # if any(len(b.find_elements(By.CSS_SELECTOR, 'img, svg')) > 0 for b in get_non_asblocks(main_q)): # There is img on draggable\n", " if len(main_q.find_elements(By.CSS_SELECTOR, 'img, svg, .eis-mediaitem')) > 0 or len(main_q.find_elements(By.XPATH, \"//iframe[contains(@src, 'youtube.com/embed/')]\")) > 0:\n", " raw_data[num] = {'html_q': html_q}\n", " goto_next_page(driver)\n", " continue\n", " funcs_qs = [get_func_quest(b) for b in get_asblocks(main_q)]\n", " driver.switch_to.default_content()\n", " main, html, image = goto_answers(driver)\n", " if main is None:\n", " goto_next_page(driver)\n", " continue\n", " raw_data[num] = {'html_q': html_q, 'html': html, 'image': image}\n", " for (func_type, que), blocks in zip(funcs_qs, get_asblocks(main), strict=True):\n", " que = f'{question}\\n\\n{que}'.strip()\n", " if func_type:\n", " sub_quests, opts, answers = func_type(blocks)\n", " for sub_quest, answer in zip(sub_quests, answers, strict=True):\n", " data = {\n", " \"category_original_lang\": category,\n", " \"original_question_num\": num,\n", " \"question\": (f'{que}\\n\\n{sub_quest}').strip(),\n", " \"options\": opts,\n", " \"answer\": answer\n", " }\n", " data_list.append(data)\n", " print(data, end='\\n----\\n')\n", " goto_next_page(driver)" ] }, { "cell_type": "code", "execution_count": null, "id": "5ba1209a-d6f4-4b82-8f07-61c431301271", "metadata": {}, "outputs": [], "source": [ "sd_pkl_path = SAVE_PATH / 'raw_and_processed.pkl'\n", "if sd_pkl_path.exists():\n", " with sd_pkl_path.open('rb') as file:\n", " raw_data, data_list = pickle.load(file)\n", "else:\n", " with sd_pkl_path.open('wb') as file:\n", " pickle.dump((raw_data, data_list), file)" ] }, { "cell_type": "code", "execution_count": null, "id": "f80085d6-f37c-4a57-95bf-1a2e1e8703e3", "metadata": {}, "outputs": [], "source": [ "last = None\n", "imgs = []\n", "for data in data_list:\n", " if (n:=data['original_question_num']) != last:\n", " last = n\n", " imgs.append(raw_data[n]['image'])\n", "create_pdf_from_images(imgs, SAVE_PATH / 'Eksamite.pdf')" ] }, { "cell_type": "markdown", "id": "213fb422-c362-48c5-8b27-827cdd348112", "metadata": {}, "source": [ "## Saving JSON" ] }, { "cell_type": "code", "execution_count": null, "id": "2b20fe9f-c475-4215-be54-7cf594cb36c2", "metadata": {}, "outputs": [], "source": [ "for data in data_list:\n", " data[\"language\"] = \"et\"\n", " data[\"country\"] = \"Estonia\"\n", " data[\"source\"] = \"https://eis.ekk.edu.ee/eis/lahendamine\"\n", " data[\"license\"] = \"open\"\n", " data[\"level\"] = \"High-School\"\n", " data[\"category_en\"] = \"Baseline Tests\"\n", " data['file_name'] = 'Eksamite.pdf'\n", " data['question'] = remove_leading_number(data['question'])\n", "\n", "data_list_clean = []\n", "question_set = set()\n", "for data in data_list:\n", " if data['question'] and data['question'] not in question_set:\n", " data_list_clean.append(data)\n", " question_set.add(data['question'])\n", "\n", "with (SAVE_PATH / 'Eksamite.json').open('w') as file:\n", " json.dump(data_list_clean, file)" ] }, { "cell_type": "code", "execution_count": null, "id": "996246e2-ab5d-4a72-8659-c24d8498e628", "metadata": {}, "outputs": [], "source": [ "# func_type, opts, sub_quests = get_opts(main_q)\n", "if func_type:\n", " data[\"answer\"] = func_type(main.find_element(By.CSS_SELECTOR, '.asblock'))\n", " if len(data[\"answer\"]) < len(data[\"sub_quests\"]):\n", " data[\"bad\"] = True\n", "for k in [\"category_original_lang\", \"original_question_num\", \"question\", \"sub_quests\", \"options\", \"answer\", \"bad\"]:\n", " print(f'{k}: {data.get(k)}')\n", " " ] }, { "cell_type": "code", "execution_count": null, "id": "0f06093f-bd8d-4c5a-9c47-fb1b8ccabb96", "metadata": { "scrolled": true }, "outputs": [], "source": [ "# iframe = WebDriverWait(driver, 10).until(\n", "# EC.presence_of_element_located((By.CSS_SELECTOR, \"iframe.ylesanne\"))\n", "# )\n", "# driver.switch_to.frame(iframe)\n", "WebDriverWait(driver, 10).until(\n", " EC.frame_to_be_available_and_switch_to_it(0)\n", ")\n", "main = driver.find_element(By.CSS_SELECTOR, 'div.eis-spbody')\n", "html = get_html_with_images(driver, main)\n", "question = '\\n'.join(all_strip(main, 'p', By.XPATH))" ] }, { "cell_type": "code", "execution_count": null, "id": "785104aa-9cc6-48b9-bad3-0ca2ed018ee7", "metadata": {}, "outputs": [], "source": [ "interactive = len(main.find_elements(By.CSS_SELECTOR, 'div.sortables')) > 0\n", "drags = main.find_elements(By.CSS_SELECTOR, 'div.draggables')\n", "radios = main.find_elements(By.CSS_SELECTOR, \"input[type='radio']\")\n", "if len(radios) > 0:\n", " opts = all_strip(main, \"label\")\n", "if len(drags) > 0:\n", " opts = all_strip(drags[1], 'div.draggable')\n", " sub_quests = all_strip(drags[0], 'div.draggable')" ] }, { "cell_type": "code", "execution_count": null, "id": "f566c0fd-b274-4bcf-8b36-e714977d34ed", "metadata": {}, "outputs": [], "source": [ "radios = main.find_elements(By.CSS_SELECTOR, \"input[type='radio']\")\n", "if len(radios) > 0:\n", " # opts_abc = [radio.get_attribute('value') for radio in radios]\n", " opts = all_strip(main, \"label\")\n", "opts" ] }, { "cell_type": "code", "execution_count": null, "id": "de372f46-9967-46d9-8bfd-57da831df88c", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "7a035f26-b5a0-4f37-9fb9-ec094ad63f30", "metadata": { "scrolled": true }, "outputs": [], "source": [ "\n", "radios = main.find_elements(By.CSS_SELECTOR, \"input[type='radio']\")\n", "if len(radios) > 0:\n", " answer = str([radio.get_property('checked') for radio in radios].index(True) + 1)\n", " print(answer)" ] }, { "cell_type": "code", "execution_count": null, "id": "ab3d7865-f4d0-497e-a43b-a6f0465a9197", "metadata": {}, "outputs": [], "source": [ "drags = main.find_elements(By.CSS_SELECTOR, 'div.draggables')\n", "sub_questions = all_strip(drags[0], 'div.draggable')\n", "options = all_strip(drags[1], 'div.draggable')" ] }, { "cell_type": "code", "execution_count": null, "id": "357f274d-33cc-4c5c-aa8e-5035818a9ddc", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "38a5ad4d-62cf-4e1d-b925-db9011e119ea", "metadata": {}, "outputs": [], "source": [ "\n" ] }, { "cell_type": "code", "execution_count": null, "id": "d71e4719-4b11-43cd-a2fe-e36d3319e741", "metadata": {}, "outputs": [], "source": [ "sorted_end, end_mapping" ] }, { "cell_type": "code", "execution_count": null, "id": "b847a3b1-c825-4d84-974b-7389861a6a64", "metadata": {}, "outputs": [], "source": [ "\n" ] }, { "cell_type": "code", "execution_count": null, "id": "72912044-3fde-4ced-9eff-d514c2849d34", "metadata": {}, "outputs": [], "source": [ "# p p last_one" ] }, { "cell_type": "code", "execution_count": null, "id": "98e387f2-bbab-408f-92be-18413bcf2c8f", "metadata": {}, "outputs": [], "source": [ "bytes_to_image(main.screenshot_as_png)" ] }, { "cell_type": "code", "execution_count": null, "id": "66cbf00e-c52f-4566-953f-09edd6da8549", "metadata": {}, "outputs": [], "source": [ "bytes_to_image(data['image'])" ] }, { "cell_type": "code", "execution_count": null, "id": "adb6cf11-7967-4d25-95c0-8897676e520c", "metadata": {}, "outputs": [], "source": [ "bytes_to_image(main.find_elements(By.CSS_SELECTOR, \"span[uitype='checkbox']\")[0].screenshot_as_png)" ] }, { "cell_type": "code", "execution_count": null, "id": "aa729929-deee-497f-ba41-0e266135de2f", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "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": "3.11.7" } }, "nbformat": 4, "nbformat_minor": 5 }