def scrape(self):
name = 'FloridaGov'
url = 'https://floridahealthcovid19.gov/frequently-asked-questions/'
html = requests.get(url).text
soup = BeautifulSoup(html, "lxml")
questions = [
str(q) for q in soup.findAll("h4", {"class": "panel-title"})
]
answers = [
str(a) for a in soup.findAll("div", {"class": "panel-body"})
]
converter = Conversion(self._filename, self._path)
for question, answer in zip(questions, answers):
converter.addExample({
'sourceUrl': url,
'sourceName': name,
"needUpdate": True,
"typeOfInfo": "QA",
"isAnnotated": False,
"responseAuthority": "",
"question": question,
"answer": answer,
"hasAnswer": True,
"targetEducationLevel": "NA",
"topic": [],
"extraData": {},
"targetLocation": "Florida",
"language": "en"
})
return converter.write()
def scrape(self):
name = 'Delaware State Government'
url = 'https://coronavirus.delaware.gov/what-delawareans-can-do/#faqs'
html = requests.get(url).text
soup = BeautifulSoup(html, "lxml")
questions = [
str(q) for q in soup.findAll("h4", {"class": "panel-title"})
]
answers = [
str(a) for a in soup.findAll("div", {"class": "panel-body"})
]
converter = Conversion(self._filename, self._path)
for question, answer in zip(questions, answers):
converter.addExample({
'sourceUrl': url,
'sourceName': name,
"needUpdate": True,
"typeOfInfo": "QA",
"isAnnotated": False,
"responseAuthority": "",
"question": question,
"answer": answer,
"hasAnswer": True,
"targetEducationLevel": "NA",
"topic": [],
"extraData": {},
"targetLocation": "Delaware",
"language": "en"
})
return converter.write()
def scrape(self):
name = 'North Dakota Stake Government'
url = 'https://ndresponse.gov/covid-19-resources/covid-19-faqs'
html = requests.get(url).text
soup = BeautifulSoup(html, "lxml").findAll(
'div',
{'class': 'view-content'})[4].findAll('div',
{'class': 'views-row'})
soup = [x.findAll('div', {'class': 'views-row'}) for x in soup]
soup = list(itertools.chain.from_iterable(soup))
questions = list(map(self._extract_question, soup))
answers = list(map(self._extract_answer, soup))
converter = Conversion(self._filename, self._path)
for question, answer in zip(questions, answers):
converter.addExample({
'sourceUrl': url,
'sourceName': name,
"needUpdate": True,
"typeOfInfo": "QA",
"isAnnotated": False,
"responseAuthority": "",
"question": question,
"answer": answer,
"hasAnswer": True,
"targetEducationLevel": "NA",
"topic": [],
"extraData": {},
"targetLocation": "North Dakota",
"language": "en"
})
return converter.write()
def scrape(self):
name = 'Kansas Department of Health and Enviroment'
url = 'https://ks-kdhecovid19.civicplus.com/faq.aspx'
html = requests.get(url).text
soup = BeautifulSoup(html, "lxml").find('div', {
'id': 'modulecontent'
}).findAll('dl')
questions = list(map(self._extract_question, soup))
answers = list(map(self._extract_answer, soup))
converter = Conversion(self._filename, self._path)
for question, answer in zip(questions, answers):
converter.addExample({
'sourceUrl': url,
'sourceName': name,
"needUpdate": True,
"typeOfInfo": "QA",
"isAnnotated": False,
"responseAuthority": "",
"question": question,
"answer": answer,
"hasAnswer": True,
"targetEducationLevel": "NA",
"topic": [],
"extraData": {},
"targetLocation": "Kansas",
"language": "en"
})
return converter.write()
def test_key_exception(self):
with self.assertRaises(KeyError) as ke:
converter = Conversion('test', '.')
converter.addExample({
'sourceUrl': 'example.com',
'language': 'en',
})
def test_value_exception(self):
with self.assertRaises(ValueError) as ve:
converter = Conversion('test', '.')
converter.addExample({
'sourceUrl': ['example.com'],
"language": 'en',
})
def scrape(self):
name = 'Vermont Department of Health'
url = 'https://apps.health.vermont.gov/COVID/faq/'
html = requests.get(url).text
lastUpdateTime = time.mktime(dateparser.parse(BeautifulSoup(html, "lxml").find('p', {'class' : 'subtitle'})\
.getText().split('Updated:')[1].strip()).timetuple())
soup = BeautifulSoup(html, "lxml").find('ul', {'class' : 'topics'}).findAll('li', {'class' : 'faq'})
questions = list(map(self._extract_question, soup))
answers = list(map(self._extract_answer, soup))
converter = Conversion(
self._filename,
self._path)
for question, answer in zip(questions, answers):
converter.addExample({
'sourceUrl': url,
'sourceName': name,
"needUpdate": True,
"typeOfInfo": "QA",
"isAnnotated": False,
"responseAuthority": "",
"question": question,
"answer": answer,
"hasAnswer": True,
"targetEducationLevel": "NA",
"topic": [],
"extraData": {},
"targetLocation": "Vermont",
"language": "en"
})
return converter.write()
def scrape(self):
scraper_list = [
Arbeitsagentur,
BAUA,
BMAS,
BMG,
BMWI,
BVF,
BZgA,
BerlinerSenat,
Bundesregierung,
CDC_Children,
CDC_Individuals,
CDC_Travel,
CDC_Water,
ECDC,
FHM_EN,
FHM_SV,
GOV_pl,
IHK,
KVB,
RKI,
Salute_IT,
#UNICEF,
WHO,
]
logger = logging.getLogger(__name__)
logging.disable(logging.WARNING)
process = CrawlerProcess({
'USER_AGENT': 'Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1)',
'ITEM_PIPELINES': {
'__main__.Pipeline': 1
}
})
for crawler in scraper_list:
process.crawl(crawler)
process.start()
df = pd.concat(RESULTS)
converter = Conversion(self._filename, self._path)
for _, row in df.iterrows():
converter.addExample({
'sourceUrl': row.link,
'sourceName': row.source,
"needUpdate": True,
"typeOfInfo": "QA",
"isAnnotated": False,
"responseAuthority": "",
"question": row.question,
"answer": row.answer_html,
"hasAnswer": bool(row.answer),
"targetEducationLevel": "NA",
"topic": [],
"extraData": {},
"targetLocation": row.country,
"language": row.lang,
})
return converter.write()
def scrape(self):
Block = namedtuple('Block', 'content tags')
extra_data = {}
url = 'https://www.cnn.com/interactive/2020/health/coronavirus-questions-answers/'
page = requests.get(url)
soup = BeautifulSoup(page.content, 'html.parser')
lastUpdatedTime = time.mktime(
dateparser.parse(' '.join(
soup.find('div', {
'class': 'cnnix-timestamp'
}).getText().split()[1:]),
date_formats=['%B %d, %Y, %I %p']).timetuple())
tags = [
tag.get('data-topic')
for tag in soup.find_all('div', attrs={'class': 'nav-button'})
]
body = soup.find_all('div', attrs={'class':
'interactive-container'})[1]
blocks = []
for div in body.find_all('div'):
if 'question' == div.get('class')[0]:
tags = div.get('class')[1:]
block = Block(div, tags)
blocks.append(block)
questions, answers, topics = [], [], []
for block in blocks:
question = block.content.find('div', attrs={'class': 'question-q'})
answer = block.content.find('div', attrs={'class': 'question-a'})
questions.append(str(question))
answers.append(str(answer))
topics.append(block.tags)
converter = Conversion(self._filename, self._path)
for q, a, t in zip(questions, answers, topics):
converter.addExample({
'sourceUrl': url,
'sourceName': "CNN",
"needUpdate": True,
"typeOfInfo": "QA",
"isAnnotated": False,
"responseAuthority": "",
"question": q,
"answer": a,
"hasAnswer": a is not None,
"targetEducationLevel": "NA",
"topic": t,
"extraData": {},
"targetLocation": "United States",
"language": 'en',
})
return converter.write()
def scrape(self):
name = 'Cleveland Clinic'
url = 'https://newsroom.clevelandclinic.org/2020/03/18/frequently-asked-questions-about-coronavirus-disease-2019-covid-19/'
headers = {
'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/39.0.2171.95 Safari/537.36'}
r = requests.get(url, headers=headers)
soup = BeautifulSoup(r.text, "lxml")
faq = soup.find("div", {"class": "entry-content"})
answers, questions = [], []
q = ''
a = ''
for e in faq.findAll(recursive=False):
if e.name == 'h5':
if q and a:
questions.append(q.replace('Q:', ''))
answers.append(a.replace('A:', ''))
q = str(e)
a = ''
else:
a += " " + str(e)
if q and a:
questions.append(q.replace('Q:', ''))
answers.append(a.replace('A:', ''))
lastUpdateTime = time.mktime(
dateparser.parse(
soup.find(
"h3",
{"entry-sub-title"}).getText().strip().replace("Updated ", "")).timetuple())
converter = Conversion(
self._filename,
self._path)
for question, answer in zip(questions, answers):
converter.addExample({
'sourceUrl': url,
'sourceName': name,
"needUpdate": True,
"typeOfInfo": "QA",
"isAnnotated": False,
"responseAuthority": "",
"question": question,
"answer": answer,
"hasAnswer": True,
"targetEducationLevel": "NA",
"topic": [],
"extraData": {},
"targetLocation": "Cleveland",
"language": "en"
})
return converter.write()
def scrape(self):
name = 'Texas Human Resources'
url = 'https://www.dshs.state.tx.us/coronavirus/faq.aspx'
html = requests.get(url, verify=False).text
soup = BeautifulSoup(html, "lxml")
# faq is in the second div
faq = soup.find(
"div", {
"id": "ctl00_ContentPlaceHolder1_uxContent"}).findAll(
"div", recursive=False)[1]
lastUpdateTime = time.mktime(
time.strptime(
soup.find(
"span",
{"lastUpdatedDate"}).getText().strip(),
"%B %d, %Y"))
questions, answers = [], []
a = ''
begun = False
for e in faq.findAll(recursive=False):
if e.name == 'h3':
if begun:
questions.append(q)
answers.append(a)
q = str(e)
a = ''
begun = True
elif e.name == 'p' or e.name == 'ul':
a += str(e)
questions.append(q)
answers.append(a)
converter = Conversion(
self._filename,
self._path)
for question, answer in zip(questions, answers):
converter.addExample({
'sourceUrl': url,
'sourceName': name,
"needUpdate": True,
"typeOfInfo": "QA",
"isAnnotated": False,
"responseAuthority": "",
"question": question,
"answer": answer,
"hasAnswer": True,
"targetEducationLevel": "NA",
"topic": [],
"extraData": {},
"targetLocation": "Texas",
"language": 'en'
})
return converter.write()
def scrape(self):
hub_links_to_scrape = ['https://hub.jhu.edu/2020/03/30/andrew-pekosz-immunity-seasonality/?fbclid=IwAR2LUcjr7Ltz6koe0IjRV3gr7E3tW0K6hqlcaYPtKQz3HBmjlQ7YRGrtgHw',
'https://hub.jhu.edu/2020/03/23/how-to-self-quarantine-self-isolate/?mc_cid=0ed1a231a3&mc_eid=9687fd9d33']
success = True
for link in hub_links_to_scrape:
faqs, lastUpdateTime = self._scrape(link)
converter = Conversion(
self._filename,
self._path)
for faq in faqs:
converter.addExample(faq)
success &= converter.write()
return success
def scrape(self):
converter = Conversion(
self._filename,
self._path)
df = pd.read_csv(open("COVID19infosheet - Info.tsv", 'r'), sep="\t")
df = self._clean_headers(df)
df['json'] = df.apply(self._prepare_data, axis=1)
for obj in df['json']:
if not obj['hasAnswer']:
continue
converter.addExample(obj)
return converter.write()
def scrape(self):
chrome_driver_path = os.environ['CHROME_DRIVER_PATH']
name = 'Oregon Public Health Division'
url = 'https://www.oregon.gov/oha/PH/DISEASESCONDITIONS/DISEASESAZ/Pages/COVID19-FAQ.aspx?wp1284=l:100'
opts = Options()
opts.set_headless()
driver = webdriver.Chrome(executable_path=chrome_driver_path, chrome_options=opts)
driver.get(url)
try:
WebDriverWait(driver, 60).until(ec.presence_of_element_located((By.TAG_NAME, 'td')))
except:
return False
html = driver.page_source
soup = BeautifulSoup(html, 'lxml')
questions = soup.findAll('td', {'data-title': 'Question'})
answers = soup.findAll('td', {'data-title': 'Answer'})
topics = soup.findAll('td', {'data-title': 'Topic'})
lastUpdateTime = time.time()
converter = Conversion(
self._filename,
self._path)
for t, q, a in zip(topics, questions, answers):
topic = self._extract_topic(t)
question = self._extract_question(q)
answer = self._extract_answer(a)
converter.addExample({
'sourceUrl': url,
'sourceName': name,
"needUpdate": True,
"typeOfInfo": "QA",
"isAnnotated": False,
"responseAuthority": "",
"question": question,
"answer": answer,
"hasAnswer": True,
"targetEducationLevel": "NA",
"topic": [topic],
"extraData": {},
"targetLocation": "Oregon",
"language": "en"
})
driver.quit()
return converter.write()
def scrape(self):
url = 'https://www.who.int/emergencies/diseases/novel-coronavirus-2019/advice-for-public/myth-busters'
html = urlopen(url)
soup = BeautifulSoup(html, "lxml")
qas_plus_some = soup.find_all(
'div', class_='sf-content-block content-block')
qa_pairs = []
for potential in qas_plus_some:
for child in potential.children:
if "h2" in str(
child): # Super hacky ... but this seemed to be the best way for this site
s_child = str(child)
s_child = s_child.replace("\n", " ")
s_child = s_child.replace(u'\xa0', u' ')
qa = s_child.split("</h2>")
if len(qa) == 2:
question = str(qa[0])
answer = str(qa[1])
elif len(qa) == 3: # First question is different
question = str(qa[1])
answer = str(qa[2])
else:
print("ERROR:") # TODO: better error handling?
qa_pairs.append((question, answer))
converter = Conversion(
self._filename,
self._path)
for pair in qa_pairs:
converter.addExample({
"sourceName": 'WHOMyth',
"sourceUrl": url,
"typeOfInfo": 'QA',
"needUpdate": True,
"typeOfInfo": 'QA',
"isAnnotated": False,
"responseAuthority": "",
"question": pair[0],
"answer": pair[1],
"hasAnswer": True,
"targetEducationLevel": 'NA',
"topic": ["Myths"],
"extraData": {},
"targetLocation": "",
"language": 'en'
})
return converter.write()
def scrape(self):
name = 'Hawaii State Government'
url = 'https://health.hawaii.gov/coronavirusdisease2019/what-you-should-know/faqs/'
html = requests.get(url).text
soup = BeautifulSoup(html, "lxml")
questions = [str(q)
for q in soup.findAll("h3")]
answers = []
for q in soup.findAll("h3"):
a = ""
for tag in q.next_siblings:
if tag.name == "div":
break
else:
a += str(tag)
answers.append(a)
lastUpdate = time.mktime(dateparser.parse(' '.join(soup.find(
'em').getText().split()[1:]), date_formats=['%B %d, %Y, %I %p']).timetuple())
converter = Conversion(
self._filename,
self._path)
for question, answer in zip(questions, answers):
converter.addExample({
'sourceUrl': url,
'sourceName': name,
"needUpdate": True,
"typeOfInfo": "QA",
"isAnnotated": False,
"responseAuthority": "",
"question": question,
"answer": answer,
"hasAnswer": True,
"targetEducationLevel": "NA",
"topic": [],
"extraData": {},
"targetLocation": "Hawaii",
"language": "en"
})
return converter.write()
def scrape(self):
name = 'FDA'
url = 'https://www.fda.gov/emergency-preparedness-and-response/mcm-issues/coronavirus-disease-2019-covid-19-frequently-asked-questions'
html = urlopen(url)
soup = BeautifulSoup(html, "lxml")
questions, answers = [], []
for panelgroup in soup.findAll("div", {"class": "panel-group"}):
for qa in panelgroup.findAll('div', {"class": "panel"}):
q = str(qa.find("div",
{"class": "panel-heading"})).replace('Q:', '')
a = str(qa.find("div",
{"class": "panel-body"})).replace('A:', '')
questions.append(q)
answers.append(a)
lastUpdateTime = time.mktime(
time.strptime(
soup.find(
"p",
{"lcds-description-list__item-text"}).getText().strip(),
"%m/%d/%Y"))
converter = Conversion(self._filename, self._path)
for question, answer in zip(questions, answers):
converter.addExample({
'sourceUrl': url,
'sourceName': name,
"needUpdate": True,
"typeOfInfo": "QA",
"isAnnotated": False,
"responseAuthority": "",
"question": question,
"answer": answer,
"hasAnswer": True,
"targetEducationLevel": "NA",
"topic": [],
"extraData": {},
"targetLocation": 'US',
'language': 'en'
})
return converter.write()
def scrape(self):
url = 'https://www.avma.org/resources-tools/animal-health-and-welfare/covid-19/covid-19-faqs-pet-owners'
html = requests.get(url).text
soup = BeautifulSoup(html, 'lxml')
faq = soup.find('h3', {'id': '1'})
questions = []
answers = []
begun = False
for e in faq.next_siblings:
if e.name == 'h5':
if begun:
questions.append(q)
answers.append(a)
q = str(e)
a = ''
begun = True
elif e.name == 'p':
a += str(e)
questions.append(q)
answers.append(a)
converter = Conversion(self._filename, self._path)
for q, a in zip(questions, answers):
converter.addExample({
'sourceUrl':
'https://www.avma.org/sites/default/files/2020-03/covid-19-faq-pet-owners.pdf',
'sourceName': 'AVMA',
#No dates exist on the page
"needUpdate": True,
"containsURLs": False,
"typeOfInfo": "QA",
"isAnnotated": False,
"responseAuthority": "",
"question": q,
"answer": a,
"hasAnswer": True,
"targetEducationLevel": "NA",
"topic": ['pets', 'animals'],
"extraData": {},
"targetLocation": "US",
'language': 'en'
})
return converter.write()
def test_blank_answer_exception(self):
with self.assertRaises(ValueError) as e:
converter = Conversion('test', '.')
converter.addExample({
'sourceUrl': 'example.com',
'sourceName': "example",
"needUpdate": True,
"typeOfInfo": "QA",
"isAnnotated": False,
"responseAuthority": "",
"question": '<a href="example.com/dir1">What is COVID-19?</a>',
"answer": '\n \n',
"hasAnswer": True,
"targetEducationLevel": "NA",
"topic": ['topic1', 'topic2'],
"extraData": {
'hello': 'goodbye'
},
"targetLocation": "US",
"language": 'en',
})
def scrape(self):
url = "https://www.hopkinsmedicine.org/health/conditions-and-diseases/coronavirus/coronavirus-frequently-asked-questions"
html = requests.get(url).text
soup = BeautifulSoup(html, 'lxml').find_all('div', {'class': 'rtf'})
lastUpdateTime = time.mktime(
dateparser.parse(soup[-1].getText().strip()[7:]).timetuple())
final_questions = []
final_responces = []
for section in soup:
questions = section.find_all('h3')
for question in questions:
final_questions.append(question.get_text(strip=False))
soup_iter = question
answer = ""
while soup_iter.find_next_sibling(
) and soup_iter.find_next_sibling().name in ['p', 'ul']:
soup_iter = soup_iter.find_next_sibling()
answer += " " + str(soup_iter)
final_responces.append(answer)
converter = Conversion(self._filename, self._path)
for q, a in zip(final_questions, final_responces):
converter.addExample({
'sourceUrl': url,
'sourceName': "JHU Medicine",
"needUpdate": True,
"containsURLs": False,
"typeOfInfo": "QA",
"isAnnotated": False,
"responseAuthority": "",
"question": q,
"answer": a,
"hasAnswer": True,
"targetEducationLevel": "NA",
"topic": [],
"extraData": {},
'targetLocation': '',
'language': 'en'
})
return converter.write()
def test_time_consistency(self):
subprocess.run(
['touch', './schema_v0.3/test_time_consistency_v0.3.jsonl'])
converter = Conversion('test_time_consistency', '.')
converter.addExample({
'sourceUrl': 'time.com',
'sourceName': "time",
"needUpdate": True,
"typeOfInfo": "QA",
"isAnnotated": False,
"responseAuthority": "",
"question": 'Hello, my time should match my next line?',
"answer": 'Hello this is the example responce',
"hasAnswer": True,
"targetEducationLevel": "NA",
"topic": ['topic1', 'topic2'],
"extraData": {
'hello': 'goodbye'
},
"targetLocation": "US",
"language": 'en',
})
converter.addExample({
'sourceUrl': 'time.com',
'sourceName': "uuid",
"needUpdate": True,
"typeOfInfo": "QA",
"isAnnotated": False,
"responseAuthority": "",
"question": 'Do I match the above line time? Please say yes!',
"answer": 'Hello this is the example responce',
"hasAnswer": True,
"targetEducationLevel": "NA",
"topic": ['topic1', 'topic2'],
"extraData": {
'hello': 'goodbye'
},
"targetLocation": "US",
"language": 'en',
})
converter.write()
with jsonlines.open(
'./schema_v0.3/test_time_consistency_v0.3.jsonl') as reader:
line = reader.read()
dateLastChanged_0 = line['dateLastChanged']
line = reader.read()
dateLastChanged_1 = line['dateLastChanged']
self.assertEqual(dateLastChanged_0, dateLastChanged_1)
subprocess.run(
['rm', './schema_v0.3/test_time_consistency_v0.3.jsonl'])
def scrape(self):
name = 'NYTimes'
url = 'https://www.nytimes.com/interactive/2020/world/coronavirus-tips-advice.html'
html = urlopen(url)
soup = BeautifulSoup(html, "lxml")
questions, answers = [], []
for panelgroup in soup.findAll("div", {"class": "g-question-wrap"}):
q = str(panelgroup.find('h3'))
a = str(panelgroup.find('div', {'class': "g-answer-wrap"}))
questions.append(q)
answers.append(a)
lastUpdateTime = time.mktime(
time.strptime(
soup.find('time').getText(),
"Updated %B %d, %Y"))
converter = Conversion(
self._filename,
self._path)
for question, answer in zip(questions, answers):
converter.addExample({
'sourceUrl': url,
'sourceName': name,
"needUpdate": True,
"typeOfInfo": "QA",
"isAnnotated": False,
"responseAuthority": "",
"question": question,
"answer": answer,
"hasAnswer": True,
"targetEducationLevel": "NA",
"topic": [],
"extraData": {},
"targetLocation": "",
"language": 'en'
})
return converter.write()
def test_addExample(self):
converter = Conversion('test', '.')
converter.addExample({
'sourceUrl': 'example.com',
'sourceName': "example",
"needUpdate": True,
"typeOfInfo": "QA",
"isAnnotated": False,
"responseAuthority": "",
"question": '<a href="example.com/dir1">What is COVID-19?</a>',
"answer":
'<p><a href="example.com/dir2">Coronaviruses</a> are a large family of viruses.</p>',
"hasAnswer": True,
"targetEducationLevel": "NA",
"topic": ['topic1', 'topic2'],
"extraData": {
'hello': 'goodbye'
},
"targetLocation": "US",
"language": 'en',
})
self.assertEqual(len(converter._examples), 1)
self.assertEqual(converter.write(), True)
def scrape(self):
url = 'https://www.globalhealthnow.org/2020-02/coronavirus-expert-reality-check'
html = requests.get(url).text
lastUpdateTime = time.mktime(
time.strptime(
BeautifulSoup(html, 'lxml').find('div', {
'class': 'article-meta-wrap'
}).getText().strip(), '%B %d, %Y'))
soup = BeautifulSoup(html, 'lxml').find('div', {
'property': 'schema:text'
}).findAll('h3')
questions_list = list(filter(self._filter_h3_headers, soup))
questions = [x.getText().strip() for x in questions_list]
responces = list(map(self._get_responces, questions_list[:-1]))
responces.append(self._get_final_responce(questions_list[-1]))
responces = list(map(self._truncate_responce, responces))
topics = list(map(self._get_topic, questions_list))
converter = Conversion(self._filename, self._path)
for q, a, t in zip(questions, responces, topics):
converter.addExample({
'sourceUrl': url,
'sourceName':
"Johns Hopkins Bloomberg School of Public Health",
"needUpdate": True,
"typeOfInfo": "QA",
"isAnnotated": False,
"responseAuthority": "",
"question": q,
"answer": a,
"hasAnswer": True,
"targetEducationLevel": "College",
"topic": [t],
"extraData": {},
"targetLocation": "",
'language': 'en'
})
return converter.write()
def scrape(self):
url = 'https://www.canada.ca/en/public-health/services/diseases/coronavirus-disease-covid-19.html#faq'
html = requests.get(url).text
soup = BeautifulSoup(html, 'lxml').find('ul', {
'class': 'list-unstyled'
}).findAll('a')
lastUpdatedTime = time.mktime(
dateparser.parse(
BeautifulSoup(html,
'lxml').find('p', {
'class': 'text-right h3 mrgn-tp-sm'
}).getText()).timetuple())
questions = [str(x) for x in soup]
response_links = [x['href'] for x in soup]
responses = list(map(self._link_to_responce, response_links))
converter = Conversion(self._filename, self._path)
for q, a in zip(questions, responses):
if not a: # no accompanying answer to question
continue
converter.addExample({
'sourceUrl': url,
'sourceName': "Public Health Agency of Canada",
"needUpdate": True,
"typeOfInfo": "QA",
"isAnnotated": False,
"responseAuthority": "",
"question": q,
"answer": a if a else "",
"hasAnswer": a is not None,
"targetEducationLevel": "NA",
"topic": [],
"extraData": {},
"targetLocation": "Canada",
"language": 'en',
})
return converter.write()
def scrape(self):
converter = Conversion(
self._filename,
self._path)
# Put the code here that makes the
for exampleNums in range(10):
converter.addExample({
'sourceUrl': 'example.com',
'sourceName': "example",
"needUpdate": True,
"typeOfInfo": "QA",
"isAnnotated": False,
"responseAuthority": "",
"question": '<a href="example.com/dir1">What is COVID-19?</a>',
"answer": '<p><a href="example.com/dir2">Coronaviruses</a> are a large family of viruses.</p>',
"hasAnswer": True,
"targetEducationLevel": "NA",
"topic": ['topic1', 'topic2'],
"extraData": {'hello': 'goodbye'},
"targetLocation": "US",
"language": 'en',
})
# This write() will fail because the path doesnt exist
return converter.write()
def test_init(self):
converter = Conversion('test', '.')
self.assertEqual(converter._file_prefix, 'test')
self.assertEqual(converter._examples, [])
def test_remove_unseen(self):
subprocess.run(
['touch', './schema_v0.3/test_remove_unseen_v0.3.jsonl'])
converter = Conversion('test_remove_unseen', '.')
converter.addExample({
'sourceUrl': 'time.com',
'sourceName': "time",
"needUpdate": True,
"typeOfInfo": "QA",
"isAnnotated": False,
"responseAuthority": "",
"question": 'Hello, my time should match my next line?',
"answer": 'Hello this is the example responce',
"hasAnswer": True,
"targetEducationLevel": "NA",
"topic": ['topic1', 'topic2'],
"extraData": {
'hello': 'goodbye'
},
"targetLocation": "US",
"language": 'en',
})
converter.write()
converter = Conversion('test_remove_unseen', '.')
converter.addExample({
'sourceUrl': 'time.com',
'sourceName': "time",
"needUpdate": True,
"typeOfInfo": "QA",
"isAnnotated": False,
"responseAuthority": "",
"question": 'I am completely new?',
"answer": 'I am unique! I am special! I matter!',
"hasAnswer": True,
"targetEducationLevel": "NA",
"topic": ['topic1', 'topic2'],
"extraData": {
'hello': 'goodbye'
},
"targetLocation": "US",
"language": 'en',
})
converter.write()
with open('./schema_v0.3/test_remove_unseen_v0.3.jsonl') as reader:
self.assertEqual(len(reader.readlines()), 1)
def test_id_preservation_fuzzy_change(self):
subprocess.run(
['touch', './schema_v0.3/test_id_preservation_v0.3.jsonl'])
converter = Conversion('test_id_preservation', '.')
converter.addExample({
'sourceUrl': 'uuid.com',
'sourceName': "uuid",
"needUpdate": True,
"typeOfInfo": "QA",
"isAnnotated": False,
"responseAuthority": "",
"question": 'Hello, this is the example question?',
"answer": 'Hello this is the example responce',
"hasAnswer": True,
"targetEducationLevel": "NA",
"topic": ['topic1', 'topic2'],
"extraData": {
'hello': 'goodbye'
},
"targetLocation": "US",
"language": 'en',
})
converter.write()
with jsonlines.open(
'./schema_v0.3/test_id_preservation_v0.3.jsonl') as reader:
line = reader.read()
id = line['ID']
converter = Conversion('test_id_preservation', '.')
converter.addExample({
'sourceUrl': 'uuid.com',
'sourceName': "uuid",
"needUpdate": True,
"typeOfInfo": "QA",
"isAnnotated": False,
"responseAuthority": "",
"question": 'Hello, but this is the example question?',
"answer": 'Hello this is the example responce',
"hasAnswer": True,
"targetEducationLevel": "NA",
"topic": ['topic1', 'topic2'],
"extraData": {
'hello': 'goodbye'
},
"targetLocation": "US",
"language": 'en',
})
converter.write()
with jsonlines.open(
'./schema_v0.3/test_id_preservation_v0.3.jsonl') as reader:
line = reader.read()
new_id = line['ID']
self.assertEqual(id, new_id)
subprocess.run(['rm', './schema_v0.3/test_id_preservation_v0.3.jsonl'])
def scrape(self):
examples = self._crawl_common() + self._crawl_at_risk()
converter = Conversion(self._filename, self._path)
for example in examples:
converter.addExample(example)
return converter.write()