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import uuid | |
import time | |
import urllib.request | |
from datetime import datetime, timedelta | |
from lxml import etree | |
from utils import encode, translate, sentiment_computation, upsert_content | |
i = 0 | |
while i > -1: | |
if i == 0: | |
CATEGORY_URL = "https://www.stats.gov.cn/sj/sjjd/" | |
else: | |
CATEGORY_URL = f"https://www.stats.gov.cn/sj/sjjd/index_{i}.html" | |
i = i + 1 | |
req = urllib.request.urlopen(CATEGORY_URL) | |
text = req.read() | |
html_text = text.decode("utf-8") | |
page = etree.HTML(html_text) | |
articlelist = page.xpath("//div[contains(@class, 'list-content')]/ul/li") | |
for article in articlelist: | |
if isinstance(article, etree._Element): | |
subelement = etree.tostring(article).decode() | |
subpage = etree.HTML(subelement) | |
date = encode(subpage.xpath("//span")) | |
parsed_datetime = datetime.strptime(time.strftime("%Y-%m-%d", time.strptime(date,"%Y-%m-%d")), "%Y-%m-%d") | |
if parsed_datetime < (datetime.today() - timedelta(days=183)): | |
i = -1 | |
else: | |
urls = subpage.xpath("//a[@class='fl pc_1600']/@href") | |
for url in urls: | |
try: | |
article = {} | |
url = url.replace('./', "https://www.stats.gov.cn/sj/sjjd/", ) | |
req = urllib.request.urlopen(url) | |
text = req.read() | |
html_text = text.decode("utf-8") | |
page = etree.HTML(html_text) | |
article['originalContent'] = encode(page.xpath("//div[contains(@class, 'TRS_Editor')]//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'] = "National Bureau of Statistics" | |
article['originalSite'] = "国家统计局" | |
article['originalTitle'] = page.xpath("//title/text()")[0] | |
article['title'] = translate(article['originalTitle']) | |
article['url'] = url | |
article['category']= "Data Interpretation" | |
article['publishDate'] = date | |
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) |