OxbridgeEconomics
commit
42ba1cc
raw
history blame
2.95 kB
import time
import uuid
from datetime import datetime, timedelta
import requests
from lxml import etree
from utils import encode, translate, datemodifier, sentiment_computation, upsert_content
i = 0
while i > -1:
if i == 0:
CATEGORY_URL = "http://www.pbc.gov.cn/rmyh/3963412/3963426/index.html"
else:
j = i + 1
CATEGORY_URL = f"http://www.pbc.gov.cn/rmyh/3963412/3963426/index_{j}.html"
i = i + 1
response = requests.get(CATEGORY_URL, timeout=30)
page = etree.HTML(response.text)
articlelist = page.xpath("//td[contains(@height, '22')]")
for article in articlelist:
if isinstance(article, etree._Element):
subelement = etree.tostring(article).decode()
subpage = etree.HTML(subelement)
date = subpage.xpath("//span/text()")
try:
parsed_datetime = datetime.strptime(time.strftime("%Y-%m-%d", time.strptime(date,"%Y-%m-%d")), "%Y-%m-%d")
except:
continue
if parsed_datetime < (datetime.today() - timedelta(days=183)):
i = -1
else:
urls = subpage.xpath("//a[contains(@target, '_blank')]/@href")
for url in urls:
try:
article = {}
url = "http://www.pbc.gov.cn" + url
response = requests.get(url, timeout=20)
response.encoding = 'utf-8'
page = etree.HTML(response.text)
article['originalContent'] = encode(page.xpath("//div[@class='mainw950']//td[@class='content']/font[@class='zoom1']//p"))
if len(article['originalContent']) < 10:
continue
CONTENT_ENG = ''
for element in article['originalContent'].split("。"):
CONTENT_ENG += translate(element) + ' '
article['content'] = CONTENT_ENG
article['site'] = "The People's Bank of China"
article['originalSite'] = "中国人民银行"
article['originalTitle'] = page.xpath("//title/text()")[0]
article['title'] = translate(article['originalTitle'])
article['url'] = url
article['category']= "Policy Interpretation"
article['publishDate'] = datemodifier(page.xpath("//meta[@name = '页面生成时间']/@content")[0], "%Y-%m-%d %H:%M:%S")
article['id'] = uuid.uuid5(uuid.NAMESPACE_OID, article['title']+article['publishDate'])
article['sentimentScore'], article['sentimentLabel'] = sentiment_computation(article['content'])
upsert_content(article)
except Exception as error:
print(error)