def get_nodes_by_ids_complete(self, studio_id):
headers = {"Authorization": "Token {0}".format(self.token)}
url = NODES_ENDPOINT + studio_id
LOGGER.info(' GET ' + url)
response = requests.get(url, headers=headers)
studio_node = response.json()[0]
return studio_node
def add_subpages_from_wikipedia_list(topic, list_url):
""" add_subpages_from_wikipedia_list: Parses wiki pages and creates corresponding files
To understand how the following parsing works, look at:
1. the source of the page (e.g. https://en.wikipedia.org/wiki/List_of_citrus_fruits), or inspect in chrome dev tools
2. the documentation for BeautifulSoup version 4: https://www.crummy.com/software/BeautifulSoup/bs4/doc/
"""
page = read_source(list_url) # Parse the the page into BeautifulSoup format, so we can loop through and manipulate it
table = page.find("table") # Extract the main table from the page
# Loop through all the rows in the table
for row in table.find_all("tr"):
columns = row.find_all("td") # Extract the columns (cells, really) within the current row
if not columns: # Some rows are empty, so just skip
continue
link = columns[0].find("a") # Get the link to the subpage
if not link: # Some rows don't have links, so skip
continue
# Extract the URL and title for the subpage
url = make_fully_qualified_url(link["href"])
title = link.text
LOGGER.info(" Writing {}...".format(title))
# Attempt to extract a thumbnail for the subpage, from the second column in the table
image = columns[1].find("img")
thumbnail_url = make_fully_qualified_url(image["src"]) if image else None
if thumbnail_url and not (thumbnail_url.endswith("jpg") or thumbnail_url.endswith("png")):
thumbnail_url = None
# Download the wikipedia page into an HTML5 app node
html5app = download_wikipedia_page(url, thumbnail=thumbnail_url, title=title)
# Add the downloaded HTML5 app node into the topic
topic.add_child(html5app)
def construct_channel(self, *args, **kwargs):
""" construct_channel: Creates ChannelNode and build topic tree
Wikipedia is organized with the following hierarchy:
Citrus (Folder)
| Citrus Page HTML Zip (File)
Potatoes (Folder)
| Potatoes Page HTML Zip (File)
Returns: ChannelNode
"""
LOGGER.info("Constructing channel from {}...".format(BASE_URL))
channel = self.get_channel(
*args,
**kwargs) # Creates ChannelNode from data in self.channel_info
create_topic(channel, "Citrus!",
"List_of_citrus_fruits") # Add Citrus folder
create_topic(channel, "Potatoes!",
"List_of_potato_cultivars") # Add Potatoes folder
raise_for_invalid_channel(
channel) # Check for errors in channel construction
return channel
def add_content_nodes(self, channel):
"""
Build the hierarchy of topic nodes and content nodes.
"""
LOGGER.info('Creating channel content nodes...')
course_list = json.load(
open(os.path.join(COURSES_DIR, 'course_list.json')))
for course in course_list['courses']: # [1:2]:
basedir = os.path.join(COURSES_DIR, course['name'])
coursedir = os.path.join(basedir, 'course')
course_data = extract_course_tree(coursedir)
course_id = course_data['course']
write_tree_to_json_tree(
os.path.join(ORIGINAL_TREES_DIR, course_id + '.json'),
course_data)
# print_course(course_data, translate_from='ar')
clean_subtree(course_data, coursedir)
print('Cleaned course', course_data['course'], '#' * 80)
write_tree_to_json_tree(
os.path.join(CLEAN_TREES_DIR, course_id + '.json'),
course_data)
transformed_tree = transform_tree(course_data, coursedir)
write_tree_to_json_tree(
os.path.join(TRANSFORMED_TREES_DIR, course_id + '.json'),
transformed_tree)
print_transfomed_tree(transformed_tree, translate_from='ar')
channel['children'].append(transformed_tree)
print('\n\n')
def get_subtitle_languages(youtube_id):
"""
Returns a list of the subtitle language codes available for a given video.
We'll try to get the list using two approach:
1. The Youtube API (works for public videos when YOUTUBE_API_KEY defined)
2. Slow by using YouTubeResource, which in turn calls youtube_dl
"""
# Check if we already have the lang_codes list for this youtube_id cached...
cache_filename = '{}__lang_codes.json'.format(youtube_id)
cache_filepath = os.path.join(SUBTITLE_LANGUAGES_CACHE_DIR, cache_filename)
if os.path.exists(cache_filepath): # Cache hit!
with open(cache_filepath) as jsonf:
cache_data = json.load(jsonf)
return cache_data['lang_codes']
if YOUTUBE_API_KEY:
try:
lang_codes = get_subtitles_using_api(youtube_id)
return lang_codes
except HttpError as e:
LOGGER.info("Can't access API for video {} ...".format(youtube_id))
lang_codes = get_subtitles_using_youtube_dl(youtube_id)
# Cache the results in chefdata/sublangscache/{youtube_id}__lang_codes.json
cache_data = {"lang_codes": lang_codes}
with open(cache_filepath, 'w') as jsonf:
json.dump(cache_data, jsonf, ensure_ascii=True)
return lang_codes
def pre_run(self, args, options):
"""
Build the ricecooker json tree for the channel.
The code here is similar to the code in `ricecooker_channel/chef.py`, but
the channel hiearachy is build using dictionary objects instead of classes.
"""
LOGGER.info('In pre_run...')
# 1. Create the channel tree
ricecooker_json_tree = dict(
title='Sample JSON channel',
source_domain='source.org',
source_id='sample-json-channel',
description='This channel was created from the files in the content/ ' \
+ 'directory and the metadata in sample_ricecooker_json_tree.json',
thumbnail='./content/sample-json-channel-files/channel_thumbnail.jpg',
language='en',
children=[],
)
# The root object of the ricecooker json tree contains the channel info;
# add topic and content nodes and to the children list to build the tree.
# 2. Add topics nodes and content nodes as to the tree
self.create_content_nodes(ricecooker_json_tree)
self.create_exercise_nodes(ricecooker_json_tree)
# 3. Save the tree to chefdata/trees/sample_ricecooker_json_tree.json
json_tree_path = self.get_json_tree_path()
write_tree_to_json_tree(json_tree_path, ricecooker_json_tree)
LOGGER.info('Finished writing ricecooker json tree.')
def _get_youtube_info(self, use_proxy=True, use_cache=True, options=None):
youtube_info = None
# 1. Try to get from cache if allowed:
if os.path.exists(self.cache_path) and use_cache:
LOGGER.info("==> [%s] Retrieving cached information...", self.__str__())
youtube_info = json.load(open(self.cache_path))
# 2. Fetch info from youtube_dl
if not youtube_info:
LOGGER.info("==> [%s] Requesting info from youtube...", self.__str__())
os.makedirs(self.cache_dir, exist_ok=True)
try:
youtube_resource = YouTubeResource(self.url, useproxy=use_proxy)
except youtube_dl.utils.ExtractorError as e:
if "unavailable" in str(e):
LOGGER.error("==> [%s] Resource unavailable for URL: %s", self.__str__, self.url)
return None
if youtube_resource:
try:
# Save YouTube info to JSON cache file
youtube_info = youtube_resource.get_resource_info(options)
if youtube_info:
json.dump(youtube_info,
open(self.cache_path, 'w'),
indent=4,
ensure_ascii=False,
sort_keys=True)
else:
LOGGER.error("==> [%s] Failed to extract YouTube info", self.__str__())
except Exception as e:
LOGGER.error("==> [%s] Failed to get YouTube info: %s", self.__str__(), e)
return None
return youtube_info
def crawling_part():
"""
Visit all the urls on engageny.org/resource/ and engageny.org/content, and extract content structure.
"""
# crawl website to build web_resource_tree
ela_hierarchy, math_hierarchy = crawl(ENGAGENY_CC_START_URL)
web_resource_tree = dict(
kind="EngageNYWebResourceTree",
title="Engage NY Web Resource Tree (ELS and CCSSM)",
language='en',
children={
'math': {
'grades': math_hierarchy,
},
'ela': {
'grades': ela_hierarchy,
},
},
)
json_file_name = os.path.join(TREES_DATA_DIR, CRAWLING_STAGE_OUTPUT)
with open(json_file_name, 'w') as json_file:
json.dump(web_resource_tree, json_file, indent=2)
LOGGER.info('Crawling results stored in ' + json_file_name)
return web_resource_tree
def recursive_extract_website_games(subtree):
"""
Processes all child nodes of the subtree then calls itself on any folder-like
child nodes. Weird, I know, but it works so I'm not touching it.
"""
if 'children' in subtree:
# do processing
new_children = []
for child in subtree['children']:
child_url = child['url']
if child['kind'] == 'PrathamZipResource':
if is_website_game(child_url):
# extract all game names referenced in manual curation Excel file to process separately...
child_url = child_url.replace(
'https://www.prathamopenschool.org/CourseContent/Games/',
'')
child_url = child_url.replace(
'http://www.prathamopenschool.org/CourseContent/Games/',
'')
child['title_en'] = child_url.replace('.zip', '')
print('EXTRACTED game name', child['title_en'],
'form url', child['url'])
website_games.append(child)
else:
# leave other games where they are
LOGGER.info('Undocumented game-like web resource ' +
child['url'])
new_children.append(child)
else:
# leave other content as is
new_children.append(child)
#
# recurse
for child in subtree['children']:
recursive_extract_website_games(child)
def get_nodes_by_ids_bulk(self, studio_ids):
"""
A more efficient version of `get_nodes_by_ids_complete` that GETs tree
content node data in chunks of 10 from the Studio API.
"""
CHUNK_SIZE = 25
NODES_ENDPOINT = self.studio_url + '/api/get_nodes_by_ids_complete/'
headers = {"Authorization": "Token {0}".format(self.token)}
studio_nodes = []
studio_ids_chunks = [
studio_ids[i:i + CHUNK_SIZE]
for i in range(0, len(studio_ids), CHUNK_SIZE)
]
for studio_ids_chunk in studio_ids_chunks:
studio_ids_csv = ','.join(studio_ids_chunk)
url = NODES_ENDPOINT + studio_ids_csv
LOGGER.info(' GET ' + url)
response = requests.get(url, headers=headers)
chunk_nodes = response.json()
for chunk_node in chunk_nodes:
if 'children' in chunk_node:
child_nodes = self.get_nodes_by_ids_bulk(
chunk_node['children'])
chunk_node['children'] = child_nodes
studio_nodes.extend(chunk_nodes)
return studio_nodes
def construct_channel(self, *args, **kwargs):
""" construct_channel: Creates ChannelNode and build topic tree
Solar Spell is organized with the following hierarchy(Sample):
Creative Arts (source_id = dir-creative-arts)
|--- Culinary Arts (source_id = dir-culinary-arts)
|--- |--- Real Pasifik 2 introducing Chef Alexis Tahiapuhe of Tahiti (source_id = file-real pasifik 2 introducing chef lela bolobolo of fiji.mp4)
|--- Pacific Islands Arts and Culture(source_id = dir_pacific_islands_arts_and_culture)
|--- |--- Cook Islands National Cultural Policy 10 July 2017_final english (File)
|--- Teaching Resources and Classroom Activities
Environment (source_id = dir-environment)
|--- Adapting to Climate Change
|--- |--- Action Against Climate Change Tuvalu Water and climate change
|--- Climate Change Info
|--- |--- Animated Pacific Island Climate Change Videos
...
Returns: ChannelNode
"""
LOGGER.info("Constructing channel from {}...".format(BASE_URL))
channel = self.get_channel(
*args,
**kwargs) # Creates ChannelNode from data in self.channel_info
LOGGER.info(' Writing {} Folder...'.format(CHANNEL_NAME))
endpoint = BASE_URL + "content/"
scrape_content(endpoint, channel)
raise_for_invalid_channel(
channel) # Check for errors in channel construction
return channel
def scrape_multilanguage_slideshows(channel):
LOGGER.info('Scraping multi-language content...')
contents = BeautifulSoup(downloader.read(SLIDESHOWS_URL), 'html5lib')
collection_key = get_collection_key(contents)
languages_selection = contents.find('div', {
'class': 'asset-list'
}).find('div')
language_list = json.loads(
languages_selection['data-react-props'])['sections']
for language in language_list:
asset_url = SLIDESHOW_ASSETS_URL.format(
collection='qac6i4-foozd4-68u325', section=language['section_key'])
slide_data = json.loads(downloader.read(asset_url))['data']
translated_name = languages.getlang(
LANGUAGE_MAP[language['name']]).native_name if LANGUAGE_MAP[
language['name']] else language['name']
LOGGER.info(' {}'.format(translated_name.encode('utf-8')))
slides = [{
'url':
slide['attributes']['thumbnail_url'].replace(
'element.png', '*****@*****.**')
} for slide in slide_data]
if len(slides):
channel.add_child(
create_slideshow(slides, asset_url, translated_name,
language['name']))
def scrape_english_collection(channel):
LOGGER.info('Scraping English collection...')
english_topic = nodes.TopicNode(source_id=ENGLISH_COLLECTION_URL,
title="English")
channel.add_child(english_topic)
contents = BeautifulSoup(downloader.read(ENGLISH_COLLECTION_URL),
'html5lib')
collection_key = get_collection_key(contents)
topic_selection = contents.find('div', {'class': 'asset-list'}).find('div')
topic_list = [
t for t in json.loads(topic_selection['data-react-props'])['sections']
if t['id'] not in EXCLUDED_TOPIC_IDS
]
for topic in topic_list:
LOGGER.info(' {}'.format(topic['name'].encode('utf-8')))
topic_node = nodes.TopicNode(source_id=topic['section_key'],
title=topic['name'])
english_topic.add_child(topic_node)
# Scrape items in the topic
url = ENGLISH_ASSETS_URL.format(collection=collection_key,
section=topic['section_key'])
scrape_collection_files(topic_node, url)
def scrape_channel(channel):
# Read from Categorias dropdown menu
page = BeautifulSoup(downloader.read(BASE_URL), 'html5lib')
dropdown = page.find('a', {'id': 'btn-categorias'}).find_next_sibling('ul')
# Go through dropdown and generate topics and subtopics
for category_list in dropdown.find_all('li', {'class': 'has-children'}):
# Parse categories
for category in category_list.find_all('li', {'class': 'has-children'}):
# Add this topic to channel when scraping entire channel
category_name = category.find('a').text
topic = nodes.TopicNode(title=category_name, source_id=get_source_id(category_name))
channel.add_child(topic)
LOGGER.info(topic.title)
# Parse subcategories
for subcategory in category.find_all('li'):
if not subcategory.attrs.get('class') or 'go-back' not in subcategory.attrs['class']:
# Get rid of this check to scrape entire site
subcategory_name = subcategory.find('a').text
subcategory_link = subcategory.find('a')['href']
LOGGER.info(' {}'.format(subcategory_name))
subtopic = nodes.TopicNode(title=subcategory_name, source_id=get_source_id(subcategory_link))
topic.add_child(subtopic)
# Parse resources
scrape_subcategory(subcategory_link, subtopic)
def scrape_resource(url, topic):
resource = BeautifulSoup(downloader.read(url), 'html5lib')
LOGGER.info(' {}'.format(resource.find('h2').text))
filepath = download_resource(resource.find('div', {'class': 'decargas'}).find('a')['href'])
license = None
author = ''
for data_section in resource.find('div', {'class': 'datos_generales'}).find_all('h4'):
if 'Licencia' in data_section.text:
try:
license = LICENSE_MAP[data_section.find_next_sibling('p').text](copyright_holder="Ceibal")
except KeyError as e:
LOGGER.error(str(e))
license = licenses.CC_BYLicense
elif 'Autor' in data_section.text:
author = data_section.find_next_sibling('p').text
if filepath:
thumbnail = resource.find('div', {'class': 'img-recurso'}).find('img')['src']
if thumbnail.endswith('.gif'):
thumbnail = os.path.sep.join([DOWNLOAD_DIRECTORY, thumbnail.split('/')[-1].replace('.gif', '.png')])
with open(thumbnail, 'wb') as fobj:
fobj.write(downloader.read(resource.find('div', {'class': 'img-recurso'}).find('img')['src']))
topic.add_child(nodes.HTML5AppNode(
title=resource.find('h2').text,
source_id=url,
license=license,
author=author,
description=resource.find('form').find_all('p')[1].text,
thumbnail=thumbnail,
tags = [tag.text[:30] for tag in resource.find_all('a', {'class': 'tags'})],
files=[files.HTMLZipFile(path=filepath)],
))
def scrape_snack_subject(slug, topic):
""" Scrape snack subject page
Args:
slug (str): url slug to scrape from (e.g. /subject/arts)
topic (TopicNode): topic to add html nodes to
"""
contents = BeautifulSoup(read(slug), 'html5lib')
for activity in contents.find_all('div', {'class': 'activity'}):
LOGGER.info(" {}".format(activity.find('h5').text.strip()))
# Scrape snack pages into zips
write_to_path, tags = scrape_snack_page(activity.find('a')['href'])
if not write_to_path:
continue
# Create html node
description = activity.find('div', {'class': 'pod-description'})
topic.add_child(
nodes.HTML5AppNode(
source_id=activity.find('a')['href'],
title=activity.find('h5').text.strip().replace("’", "'"),
description=description.text.strip() if description else "",
license=LICENSE,
copyright_holder=COPYRIGHT_HOLDER,
files=[files.HTMLZipFile(path=write_to_path)],
thumbnail=get_thumbnail_url(activity.find('img')['src']),
tags=tags,
))
# Scrape next page (if any)
next_page_url = get_next_page_url(contents)
if next_page_url:
scrape_snack_subject(next_page_url, topic)
def get_html5_app_zip_path(slug):
resp = session.get(READ_URL.format(slug))
if resp.status_code == 200:
resp = resp.json()
else:
LOGGER.info('The story {} is not available.\n'.format(slug))
return None
content = ""
for page in (resp['data']['pages']):
soup = BeautifulSoup(page['html'], 'html.parser')
if page.get('coverImage', None):
img_src = page['coverImage']['sizes'][-1]['url']
soup.img['src'] = img_src
content = content + "\n" + str(soup)
context = {'content': content}
handle, destination = tempfile.mkstemp(suffix=".zip")
os.close(handle)
htmlwriter = HTMLWriter(destination)
with htmlwriter as f:
index_html = TEMPLATE_ENVIRONMENT.get_template('indexfile').render(
context)
f.write_index_contents(index_html)
LOGGER.info(destination)
return destination
def scrape_video_menu(url):
""" Scrape videos from url
Args:
url (str): url to scrape from (e.g. https://www.exploratorium.edu/video/subjects)
Returns TopicNode containing all videos
"""
LOGGER.info("SCRAPING VIDEOS...")
video_topic = nodes.TopicNode(title="Videos",
source_id="main-topic-videos")
contents = BeautifulSoup(read(url), 'html5lib')
for subject in contents.find_all('div', {'class': 'subject'}):
title = subject.find('div', {
'class': 'name'
}).text.strip().replace("’", "'")
LOGGER.info(" {}".format(title))
topic = nodes.TopicNode(
title=title,
source_id="videos-{}".format(title),
thumbnail=get_thumbnail_url(subject.find('img')['src']),
)
video_topic.add_child(topic)
scrape_video_subject(subject.find('a')['href'], topic)
return video_topic
def write_question_row_from_question_dict(self, source_id, question_dict):
file_path = get_metadata_file_path(self.channeldir, self.questionsinfo)
with open(file_path, 'a') as csv_file:
csvwriter = csv.DictWriter(csv_file, EXERCISE_QUESTIONS_INFO_HEADER)
def _safe_list_get(l, idx, default):
try:
return l[idx]
except IndexError:
return default
# change image links to local
question_dict = self._make_local_question_images(question_dict)
type_lookup = {
'single_selection': exercises.SINGLE_SELECTION,
'true_false': exercises.SINGLE_SELECTION,
'multiple_selection': exercises.MULTIPLE_SELECTION,
'input_question': exercises.INPUT_QUESTION,
}
# ANSWERS
answers = json.loads(question_dict['answers'])
options = [] # all options
correct = [] # correct andwers
for ans in answers:
options.append(ans['answer'])
if ans['correct']:
correct.append(ans['answer'])
extra_options = DEFAULT_EXTRA_ITEMS_SEPARATOR.join(options[5:])
# HINTS
hints_raw = json.loads(question_dict['hints'])
if hints_raw:
raise ValueError('Found hints but not handled..')
LOGGER.info(' - writing question with studio_id=' + question_dict['assessment_id'])
question_row = {}
question_row[EXERCISE_SOURCEID_KEY] = source_id
question_row[EXERCISE_QUESTIONS_QUESTIONID_KEY] = question_dict['assessment_id'] # question_dict['assessment_id']
question_row[EXERCISE_QUESTIONS_TYPE_KEY] = type_lookup[question_dict['type']]
question_row[EXERCISE_QUESTIONS_QUESTION_KEY] = question_dict['question']
question_row[EXERCISE_QUESTIONS_OPTION_A_KEY] = _safe_list_get(options, 0, None)
question_row[EXERCISE_QUESTIONS_OPTION_B_KEY] = _safe_list_get(options, 1, None)
question_row[EXERCISE_QUESTIONS_OPTION_C_KEY] = _safe_list_get(options, 2, None)
question_row[EXERCISE_QUESTIONS_OPTION_D_KEY] = _safe_list_get(options, 3, None)
question_row[EXERCISE_QUESTIONS_OPTION_E_KEY] = _safe_list_get(options, 4, None)
question_row[EXERCISE_QUESTIONS_OPTION_FGHI_KEY] = extra_options
question_row[EXERCISE_QUESTIONS_CORRECT_ANSWER_KEY] = _safe_list_get(correct, 0, None)
question_row[EXERCISE_QUESTIONS_CORRECT_ANSWER2_KEY] = _safe_list_get(correct, 1, None)
question_row[EXERCISE_QUESTIONS_CORRECT_ANSWER3_KEY] = _safe_list_get(correct, 2, None)
question_row[EXERCISE_QUESTIONS_HINT_1_KEY] = None # TODO
question_row[EXERCISE_QUESTIONS_HINT_2_KEY] = None # TODO
question_row[EXERCISE_QUESTIONS_HINT_3_KEY] = None # TODO
question_row[EXERCISE_QUESTIONS_HINT_4_KEY] = None # TODO
question_row[EXERCISE_QUESTIONS_HINT_5_KEY] = None # TODO
question_row[EXERCISE_QUESTIONS_HINT_6789_KEY] = None # TODO
# WRITE QUESTION ROW
csvwriter.writerow(question_row)
def construct_channel(self, *args, **kwargs):
channel = self.get_channel(
*args,
**kwargs) # Create ChannelNode from data in self.channel_info
lang_names = list(self.data.keys())
lang_names.sort()
for lang_name in lang_names:
lang_data = self.data[lang_name]
LOGGER.info("Creating app for language: {}".format(lang_name))
lang = languages.getlang_by_native_name(lang_name)
zip_dir = self.client.create_zip_dir_for_page(lang_data['url'])
soup = self.client.get_page_soup(lang_data['url'])
# Remove the translation list if found
translations = soup.find('div', {'id': 'translations'})
if translations:
translations.extract()
# Grab the localized title
title = soup.find('span', {'id': 'share_title'}).text
# Save the modified index.html page
thumbnail = None
for resource in lang_data['resources']:
if 'dp3t.png' in resource:
thumbnail = os.path.join(zip_dir, resource)
break
with open(os.path.join(zip_dir, 'index.html'), 'wb') as f:
f.write(soup.prettify(encoding='utf-8'))
# create_predictable_zip ensures that the ZIP file does not change each time it's created. This
# ensures that the zip doesn't get re-uploaded just because zip metadata changed.
zip_file = zip.create_predictable_zip(zip_dir)
zip_name = lang.primary_code if lang else lang_name
zip_filename = os.path.join(self.ZIP_DIR,
"{}.zip".format(zip_name))
os.makedirs(os.path.dirname(zip_filename), exist_ok=True)
os.rename(zip_file, zip_filename)
topic = nodes.TopicNode(source_id=lang_name, title=lang_name)
zip_node = nodes.HTML5AppNode(
source_id="covid19-sim-{}".format(lang_name),
title=title,
files=[files.HTMLZipFile(zip_filename)],
license=licenses.PublicDomainLicense(
"Marcel Salathé & Nicky Case"),
language=lang,
thumbnail=thumbnail)
topic.add_child(zip_node)
channel.add_child(topic)
return channel
def scrape_subcategory(link, topic):
url = "{}{}".format(BASE_URL, link.lstrip("/"))
resource_page = BeautifulSoup(downloader.read(url), 'html5lib')
# Skip "All" category
for resource_filter in resource_page.find('div', {'class': 'menu-filtro'}).find_all('a')[1:]:
LOGGER.info(' {}'.format(resource_filter.text))
source_id = get_source_id('{}/{}'.format(topic.title, resource_filter.text))
filter_topic = nodes.TopicNode(title=resource_filter.text, source_id=source_id)
scrape_resource_list(url + resource_filter['href'], filter_topic)
topic.add_child(filter_topic)
def get_nodes_by_ids_complete(self, studio_id):
"""
Get the complete JSON representation of a content node from the Studio API.
"""
NODES_ENDPOINT = self.studio_url + '/api/get_nodes_by_ids_complete/'
headers = {"Authorization": "Token {0}".format(self.token)}
url = NODES_ENDPOINT + studio_id
LOGGER.info(' GET ' + url)
response = requests.get(url, headers=headers)
studio_node = response.json()[0]
return studio_node
def _recusive_visit_rm_global_nav_children(subtree):
newchildren = []
for child in subtree['children']:
child_url = child['url']
if len(child['children']
) == 0 and child_url in global_nav_urls:
LOGGER.info('Removing global nav url =' + child_url)
else:
clean_child = _recusive_visit_rm_global_nav_children(child)
newchildren.append(clean_child)
subtree['children'] = newchildren
return subtree
def pre_run(self, args, options):
"""
This is where all the works happens for this chef:
- Load the source tree from the Khan Academy API
- Convert the tree of Khan-objects in ricecooker_json dicts objects
- Write ricecooker json tree to the appropriate file
"""
lang, variant = self.parse_lang_and_variant_from_kwargs(options)
if lang == "en" and variant != "in-in":
# Load the CCSSM tags for the KA en channel (but not in-in variant)
global CC_MAPPING
CC_MAPPING = generate_common_core_mapping()
channel_node = self.get_channel_dict(options)
channel_node["children"] = []
# Handle special case of building Kolibri channel from youtube playlists
if options.get("youtube_channel_id"):
youtube_channel_id = options.get("youtube_channel_id")
LOGGER.info("Found YouTube channel {}".format(youtube_channel_id))
root_node = youtube_playlist_scraper(youtube_channel_id,
channel_node)
json_tree_path = self.get_json_tree_path(**options)
LOGGER.info("Writing youtube ricecooker tree to " + json_tree_path)
write_tree_to_json_tree(json_tree_path, root_node)
return None
LOGGER.info("Downloading KA topic tree")
# Obtain the complete topic tree for lang=lang from the KA API
ka_root_topic, topics_by_slug = get_khan_topic_tree(lang=lang)
# TODO: discuss w @kollivier introducing "archive" step here (for source diffs)
self.topics_by_slug = topics_by_slug # to be used for topic replacments
self.slug_blacklist = get_slug_blacklist(lang=lang, variant=variant)
self.topic_replacements = get_topic_tree_replacements(lang=lang,
variant=variant)
if options.get("english_subtitles"):
# we will include english videos with target language subtitles
duplicate_videos(ka_root_topic)
LOGGER.info("Converting KA nodes to ricecooker json nodes")
root_topic = self.convert_ka_node_to_ricecooker_node(ka_root_topic,
target_lang=lang)
for topic in root_topic["children"]:
channel_node["children"].append(topic)
# write to ricecooker tree to json file
json_tree_path = self.get_json_tree_path(**options)
LOGGER.info("Writing ricecooker json tree to " + json_tree_path)
write_tree_to_json_tree(json_tree_path, channel_node)
def download_structure_csv(which=None):
if which == 'English':
response = requests.get(PRADIGI_ENGLISH_SHEET_CSV_URL)
csv_data = response.content.decode('utf-8')
with open(PRADIGI_ENGLISH_SHEET_CSV_PATH, 'w') as csvfile:
csvfile.write(csv_data)
LOGGER.info('Succesfully saved ' + PRADIGI_ENGLISH_SHEET_CSV_PATH)
return PRADIGI_ENGLISH_SHEET_CSV_PATH
else:
response = requests.get(PRADIGI_SHEET_CSV_URL)
csv_data = response.content.decode('utf-8')
with open(PRADIGI_SHEET_CSV_PATH, 'w') as csvfile:
csvfile.write(csv_data)
LOGGER.info('Succesfully saved ' + PRADIGI_SHEET_CSV_PATH)
return PRADIGI_SHEET_CSV_PATH
def scrape_video_page(self, url, title):
""" Creates a video topic with all the videos on the page """
IGNORED_VIDEOS = ['google', 'facebook']
VIDEO_SCRAPERS = [who.WHOWebVideoScraper, who.WHOVideoScraper]
video_topic = nodes.TopicNode(source_id=url, title=title)
contents = BeautifulSoup(downloader.read(url), 'html.parser')
# Scrape youtube embeds
# e.g. https://www.who.int/emergencies/diseases/novel-coronavirus-2019/advice-for-public/videos
for iframe in contents.findAll('iframe'):
if not any(
[test for test in IGNORED_VIDEOS if test in iframe['src']]):
header = iframe.find_parent('div', {
'class': 'sf_colsIn'
}).find('div', {
'class': 'section-heading'
}).text.strip()
LOGGER.info(' - Downloading {}'.format(
header.encode('utf-8')))
scraper = guess_scraper(iframe['src'], scrapers=VIDEO_SCRAPERS
) # Might be native or youtube video
video_node = scraper.to_contentnode(header,
license=LICENSE,
directory="videos")
video_topic.add_child(video_node)
# Scrape native videos
# e.g. https://www.who.int/zh/emergencies/diseases/novel-coronavirus-2019/advice-for-public/videos
for video in contents.findAll('div',
{'class': 'sf-multimedia-item__video'}):
header = video.find('h3').text.strip()
LOGGER.info(' - Downloading {}'.format(
header.encode('utf-8')))
video_matches = re.search(r"\(\s*\"(.+)\"\,\s*\"(.+)\"\)",
video.find('a')['onclick'])
# Embedded youtube videos here refer to playlists, so skip them
if 'YoutubeVideo' == video_matches.group(1):
continue
scraper = who.WHOVideoScraper(video_matches.group(2))
video_node = scraper.to_contentnode(header,
license=LICENSE,
directory="videos")
video_topic.add_child(video_node)
return video_topic
def scrape_video_collection(url, topic):
""" Scrape videos under video collection and add to the topic node
Args:
url (str): url to video page (e.g. https://www.exploratorium.edu/video/inflatable-jimmy-kuehnle)
topic (TopicNode): topic to add video nodes to
"""
try:
collection_contents = BeautifulSoup(read(url), 'html5lib')
for result in collection_contents.find_all('div',
{'class': 'search-result'}):
header = result.find('div',
{'class': 'views-field-field-html-title'})
LOGGER.info(" {}".format(header.text.strip()))
# Get video from given url
description = result.find('div', {'class': 'search-description'})
video_contents = BeautifulSoup(read(header.find('a')['href']),
'html.parser')
for k, v in get_brightcove_mapping(video_contents).items():
video_node = nodes.VideoNode(
source_id=k,
title=header.text.strip().replace("’", "'"),
description=description.text.strip()
if description else "",
license=LICENSE,
copyright_holder=COPYRIGHT_HOLDER,
author=v.get('author') or "",
files=[
files.WebVideoFile(v['url'], high_resolution=False)
],
thumbnail=get_thumbnail_url(result.find('img')['src']),
)
# If video doesn't already exist here, add to topic
if not next((c for c in topic.children
if c.source_id == video_node.source_id), None):
topic.add_child(video_node)
# Scrape next page (if any)
next_page_url = get_next_page_url(collection_contents)
if next_page_url:
scrape_video_collection(next_page_url, topic)
except requests.exceptions.HTTPError:
LOGGER.error("Could not read collection at {}".format(url))
def get_phet_zip_file(zip_file_url, main_file_and_query):
"""
Phet simulations are provided in the zip file `phet.zip`, and the entry point
is passed as a GET parameter in `main_file_and_query`. To make these compatible
with Kolibri's default behaviour of loading index.html, we will:
- Rename index.html to phetindex.thml
- Add a custom index.html that uses javascrpt redirect to phetindex.thml?{sim_id}
"""
u = urlparse(main_file_and_query)
idk, sim_id = u.query.split('=')
assert idk == 'id', 'unknown query sting format found' + main_file_and_query
main_file = u.scheme + '://' + u.netloc + u.path # skip querystring
destpath = tempfile.mkdtemp()
LOGGER.info('saving phet zip file in dir ' + destpath)
try:
download_file(zip_file_url, destpath, request_fn=make_request)
zip_filename = zip_file_url.split('/')[-1]
zip_basename = zip_filename.rsplit('.', 1)[0]
zip_folder = os.path.join(destpath, zip_basename)
# Extract zip file contents.
local_zip_file = os.path.join(destpath, zip_filename)
with zipfile.ZipFile(local_zip_file) as zf:
zf.extractall(destpath)
# Rename main_file to phetindex.html
main_file = main_file.split('/')[-1]
src = os.path.join(zip_folder, main_file)
dest = os.path.join(zip_folder, 'phetindex.html')
os.rename(src, dest)
# Create the
index_html = PHET_INDEX_HTML_TEMPLATE.format(sim_id=sim_id)
with open(os.path.join(zip_folder, 'index.html'), 'w') as indexf:
indexf.write(index_html)
# Always be zipping!
return create_predictable_zip(zip_folder)
except Exception as e:
LOGGER.error("get_phet_zip_file: %s, %s, %s, %s" %
(zip_file_url, main_file_and_query, destpath, e))
return None
def pre_run(self, args, options):
"""
Build the ricecooker json tree for the entire channel
"""
LOGGER.info('in pre_run...')
# delete .zip files in temporary dir when running using update
if args['update']:
LOGGER.info('Deleting all zips in cache dir {}'.format(
HTML5APP_ZIPS_LOCAL_DIR))
for rel_path in os.listdir(HTML5APP_ZIPS_LOCAL_DIR):
abs_path = os.path.join(HTML5APP_ZIPS_LOCAL_DIR, rel_path)
if os.path.isdir(abs_path):
shutil.rmtree(abs_path)
# option to skip crawling stage
if 'nocrawl' not in options:
self.crawl(args, options)
# Conditionally determine `source_id` depending on variant specified
if 'variant' in options and options['variant'].upper() == 'LE':
# Official PraDigi channel =
channel_name = 'PraDigi'
channel_source_id = PRADIGI_SOURCE_ID__VARIANT_LE
DEBUG_MODE = False
else:
# Pratham ETL (used to import content from website into Pratham app)
# channel_id = f9da12749d995fa197f8b4c0192e7b2c
channel_name = 'PraDigi Pratham'
channel_source_id = PRADIGI_SOURCE_ID__VARIANT_PRATHAM
ricecooker_json_tree = dict(
title=channel_name,
source_domain=PRADIGI_DOMAIN,
source_id=channel_source_id,
description=PRADIGI_DESCRIPTION,
thumbnail='chefdata/prathamlogo_b01-v1.jpg',
language='mul',
children=[],
)
for lang in PRADIGI_WEBSITE_LANGUAGES:
lang_subtree = self.build_subtree_for_lang(lang)
ricecooker_json_tree['children'].append(lang_subtree)
json_tree_path = self.get_json_tree_path()
write_tree_to_json_tree(json_tree_path, ricecooker_json_tree)
def get_subtopics(parent, path):
doc = get_page(path)
try:
menu_row = doc.find('div', {'id': 'body-row'})
menu_row = menu_row.find('div', {'class': 'col-md-2'})
except Exception as e:
LOGGER.error('get_subtopics: %s : %s' % (e, doc))
return
for subtopic in menu_row.find_all('a'):
try:
title = subtopic.get_text().strip()
source_id = get_source_id(subtopic['href'])
LOGGER.info(' subtopic: %s: %s' % (source_id, title))
node = TopicNode(title=title, source_id=source_id)
parent.add_child(node)
get_lessons(node, subtopic['href'])
except Exception as e:
LOGGER.error('get_subtopics: %s : %s' % (e, subtopic))
