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from datetime import datetime, timedelta |
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import uuid |
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import time |
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import urllib.request |
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from lxml import etree |
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from utils import encode, translate, datemodifier, sentiment_computation, upsert_content |
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i = 0 |
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while i > -1: |
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if i == 0: |
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CATEGORY_URL = "https://www.ndrc.gov.cn/xxgk/jd/jd/index.html" |
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else: |
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CATEGORY_URL = f"https://www.ndrc.gov.cn/xxgk/jd/jd/index_{i}.html" |
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i = i + 1 |
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req = urllib.request.urlopen(CATEGORY_URL) |
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text = req.read() |
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html_text = text.decode("utf-8") |
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page = etree.HTML(html_text) |
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articlelist = page.xpath("//div[contains(@class, 'list')]/ul/li[not(@class = 'empty')]") |
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for article in articlelist: |
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if isinstance(article, etree._Element): |
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subelement = etree.tostring(article).decode() |
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subpage = etree.HTML(subelement) |
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date = subpage.xpath("//span/text()")[0] |
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parsed_datetime = datetime.strptime(time.strftime("%Y-%m-%d", time.strptime(date,"%Y/%m/%d")), "%Y-%m-%d") |
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if parsed_datetime < (datetime.today() - timedelta(days=183)): |
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i = -1 |
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else: |
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urls = subpage.xpath("//a[contains(@target, '_blank')]/@href") |
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for url in urls: |
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try: |
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article = {} |
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print(url) |
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if "https://www.gov.cn" in url: |
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req = urllib.request.urlopen(url) |
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text = req.read() |
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html_text = text.decode("utf-8") |
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page = etree.HTML(html_text) |
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article['originalContent'] = encode(page.xpath("//div[contains(@id, 'UCAP-CONTENT')]//p")) |
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if len(article['originalContent']) < 10: |
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continue |
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CONTENT_ENG = '' |
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for element in article['originalContent'].split("。"): |
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CONTENT_ENG += translate(element) + ' ' |
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article['content'] = CONTENT_ENG |
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article['site'] = "State Council" |
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article['originalSite'] = "国务院" |
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article['originalTitle'] = page.xpath("//title/text()")[0] |
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article['title'] = translate(article['originalTitle']) |
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article['url'] = url |
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article['category']= "Policy Release" |
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article['publishDate'] = datemodifier(page.xpath("//meta[@name = 'firstpublishedtime']/@content")[0], "%Y-%m-%d-%H:%M:%S") |
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elif "../../zcfb/" in url: |
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url = url.replace("../../zcfb/", "https://www.ndrc.gov.cn/xxgk/zcfb/") |
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print(url) |
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req = urllib.request.urlopen(url) |
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text = req.read() |
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html_text = text.decode("utf-8") |
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page = etree.HTML(html_text) |
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article['originalContent'] = encode(page.xpath("//div[contains(@class, 'TRS_Editor') or contains(@class, 'article_l')]")) |
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if len(article['originalContent']) < 10: |
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continue |
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CONTENT_ENG = '' |
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for element in article['originalContent'].split("。"): |
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CONTENT_ENG += translate(element) + ' ' |
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article['content'] = CONTENT_ENG |
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article['site'] = "National Development and Reform Commission" |
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article['originalSite'] = "国家发展和改革委员会" |
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article['originalTitle'] = page.xpath("//meta[@name = 'ArticleTitle']/@content")[0] |
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article['title'] = translate(article['originalTitle']) |
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article['url'] = url |
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article['category']= "Policy Release" |
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article['publishDate'] = datemodifier(page.xpath("//meta[@name = 'PubDate']/@content")[0], "%Y-%m-%d %H:%M:%S") |
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else: |
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url = url.replace("../../", "https://www.ndrc.gov.cn/xxgk/jd/jd/") |
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url = url.replace("./", "https://www.ndrc.gov.cn/xxgk/jd/jd/") |
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print(url) |
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req = urllib.request.urlopen(url) |
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text = req.read() |
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html_text = text.decode("utf-8") |
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page = etree.HTML(html_text) |
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article['originalContent'] = encode(page.xpath("//div[contains(@class, 'TRS_Editor')]//p")) |
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if len(article['originalContent']) < 10: |
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continue |
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CONTENT_ENG = '' |
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for element in article['originalContent'].split("。"): |
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CONTENT_ENG += translate(element) + ' ' |
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article['content'] = CONTENT_ENG |
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article['site'] = "National Development and Reform Commission" |
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article['originalSite'] = "国家发展和改革委员会" |
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article['originalTitle'] = page.xpath("//meta[@name = 'ArticleTitle']/@content")[0] |
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article['title'] = translate(article['originalTitle']) |
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article['url'] = url |
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article['category']= "Policy Interpretation" |
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article['publishDate'] = datemodifier(page.xpath("//meta[@name = 'PubDate']/@content")[0], "%Y-%m-%d %H:%M:%S") |
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article['id'] = uuid.uuid5(uuid.NAMESPACE_OID, article['title']+article['publishDate']) |
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article['sentimentScore'], article['sentimentLabel'] = sentiment_computation(article['content']) |
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upsert_content(article) |
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except Exception as error: |
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print(error) |
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