def updateInfo(self, item, newlinks, oldlinks):
		'''爬虫爬完之后对数据库内容进行更新'''
		cur = self.conn.cursor()
		cur.execute("SELECT wid,did FROM Websites WHERE url=?", (item['url'],))
		wid, did = cur.fetchone()
		# website记录更新
		cur.execute("UPDATE Websites SET title=?,visited=1 WHERE wid=?", (item['title'], wid,))
		# 对应的domain记录中出度也需要更新
		cur.execute("UPDATE Domains SET outdegree=outdegree+? WHERE did=?", (len(item['links']), did,))

		# 对该网页中所有链接涉及的记录进行更新
		# 外部判断未出现过的链接
		for link,domain in newlinks:
			self.insertWebsite(link, domain)

		# 外部判断出现过的链接
		for link,domain in oldlinks:
			# 对对应的domain记录入度增加
			cur.execute("UPDATE Domains SET outdegree=outdegree+1 WHERE domain=?", (domain,))
		# 写入到文件
		self.conn.commit()
def upload_face_image(self, img_data):
        """
        Upload an image of the user's face. `img_data` should be a raw
        bytestream of a PNG image. This method will take the data, encrypt it
        using our FACE_IMAGE_AES_KEY, encode it with base64 and save it to the
        storage backend.

        Yes, encoding it to base64 adds compute and disk usage without much real
        benefit, but that's what the other end of this API is expecting to get.
        """
        # Skip this whole thing if we're running acceptance tests or if we're
        # developing and aren't interested in working on student identity
        # verification functionality. If you do want to work on it, you have to
        # explicitly enable these in your private settings.
        if settings.FEATURES.get('AUTOMATIC_VERIFY_STUDENT_IDENTITY_FOR_TESTING'):
            return

        aes_key_str = settings.VERIFY_STUDENT["SOFTWARE_SECURE"]["FACE_IMAGE_AES_KEY"]
        aes_key = aes_key_str.decode("hex")

        path = self._get_path("face")
        buff = ContentFile(encrypt_and_encode(img_data, aes_key))
        self._storage.save(path, buff)