|
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) |