OxbridgeEconomics
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"""Utilis Functions"""
import os
import json
import uuid
import time
import urllib.request
from urllib.parse import urlparse
from datetime import datetime
from decimal import Decimal
import requests
import boto3
from lxml import etree
from googletrans import Translator
from transformers import pipeline
from PyPDF2 import PdfReader
AWS_ACCESS_KEY_ID = os.environ['AWS_ACCESS_KEY_ID']
AWS_SECRET_ACCESS_KEY = os.environ['AWS_SECRET_ACCESS_KEY']
# AWS_ACCESS_KEY_ID="AKIAQFXZMGHQYXKWUDWR"
# AWS_SECRET_ACCESS_KEY="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"
analyzer = pipeline("sentiment-analysis", model="ProsusAI/finbert")
translator = Translator()
with open('xpath.json', 'r', encoding='UTF-8') as f:
xpath_dict = json.load(f)
def translate(text):
return translator.translate(text, dest='en').text
def datemodifier(date_string, date_format):
"""Date Modifier Function"""
try:
to_date = time.strptime(date_string,date_format)
return time.strftime("%Y-%m-%d",to_date)
except:
return False
def fetch_url(url):
response = requests.get(url)
if response.status_code == 200:
return response.text
else:
return None
def translist(infolist):
"""Translist Function"""
out = list(filter(lambda s: s and
(isinstance (s,str) or len(s.strip()) > 0), [i.strip() for i in infolist]))
return out
def encode(content):
"""Encode Function"""
text = ''
for element in content:
if isinstance(element, etree._Element):
subelement = etree.tostring(element).decode()
subpage = etree.HTML(subelement)
tree = subpage.xpath('//text()')
line = ''.join(translist(tree)).\
replace('\n','').replace('\t','').replace('\r','').replace(' ','').strip()
else:
line = element
text += line
return text
def encode_content(content):
"""Encode Function"""
text = ''
for element in content:
if isinstance(element, etree._Element):
subelement = etree.tostring(element).decode()
subpage = etree.HTML(subelement)
tree = subpage.xpath('//text()')
line = ''.join(translist(tree)).\
replace('\n','').replace('\t','').replace('\r','').replace(' ','').strip()
else:
line = element
if line != '':
line = line + '\n'
text += line
index = text.find('打印本页')
if index != -1:
text = text[:index]
try:
summary = '\n'.join(text.split('\n')[:2])
except:
summary = text
return text, summary
def extract_from_pdf(url):
# Send a GET request to the URL and retrieve the PDF content
response = requests.get(url)
pdf_content = response.content
# Save the PDF content to a local file
with open("downloaded_file.pdf", "wb") as f:
f.write(pdf_content)
# Open the downloaded PDF file and extract the text
with open("downloaded_file.pdf", "rb") as f:
pdf_reader = PdfReader(f)
num_pages = len(pdf_reader.pages)
extracted_text = ""
for page in range(num_pages):
text = pdf_reader.pages[page].extract_text()
if text and text[0].isdigit():
text = text[1:]
# first_newline_index = text.find('。\n')
# text = text[:first_newline_index+1].replace('\n', '') + text[first_newline_index+1:]
text = text.replace('?\n', '?-\n').replace('!\n', '!-\n').replace('。\n', '。-\n').replace('\n','').replace('?-','?\n').replace('!-','!\n').replace('。-','。\n')
print(text)
if text != '':
extracted_text += text
try:
summary = '\n'.join(extracted_text.split('\n')[:2])
except:
summary = text
return extracted_text, summary
def get_db_connection():
"""Get dynamoDB connection"""
dynamodb = boto3.resource(
service_name='dynamodb',
region_name='us-east-1',
aws_access_key_id=AWS_ACCESS_KEY_ID,
aws_secret_access_key=AWS_SECRET_ACCESS_KEY
)
return dynamodb
def sentiment_computation(content):
label_dict = {
"positive": "+",
"negative": "-",
"neutral": "0",
}
sentiment_score = 0
maximum_value = 0
raw_sentiment = analyzer(content[:511], top_k=None)
sentiment_label = None
for sentiment_dict in raw_sentiment:
value = sentiment_dict["score"]
if value > maximum_value:
sentiment_label = sentiment_dict["label"]
maximum_value = value
if sentiment_dict["label"] == "positive":
sentiment_score = sentiment_score + value
if sentiment_dict["label"] == "negative":
sentiment_score = sentiment_score - value
else:
sentiment_score = sentiment_score + 0
return sentiment_score, label_dict[sentiment_label]
def crawl(url, article):
domain = '.'.join(urlparse(url).netloc.split('.')[1:])
req = urllib.request.urlopen(url)
text = req.read()
html_text = text.decode("utf-8")
page = etree.HTML(html_text)
contentCN, summary = encode_content(page.xpath(xpath_dict[domain]['content']))
article['originSite'] = xpath_dict[domain]['siteCN']
article['site'] = xpath_dict[domain]['site']
article['titleCN'] = encode(page.xpath(xpath_dict[domain]['title']))
article['title'] = translate(article['titleCN'])
if 'author' in xpath_dict[domain]:
article['author'] = translate(encode(page.xpath(xpath_dict[domain]['author'])))
else:
article['author'] = ""
article['contentCN'] = repr(contentCN)[1:-1].strip()
if len(article['contentCN']) < 10:
return None
CONTENT_ENG = ''
for element in contentCN.split("\n"):
CONTENT_ENG += translate(element) + '\n'
article['content'] = repr(CONTENT_ENG)[1:-1].strip()
if 'subtitle' in xpath_dict[domain]:
article['subtitle'] = translate(encode(page.xpath(xpath_dict[domain]['subtitle'])))
else:
article['subtitle'] = translate(summary)
article['publishDate'] = datemodifier(encode(page.xpath(xpath_dict[domain]['publishdate'])), xpath_dict[domain]['datetime_format'])
article['link'] = url
article['attachment'] = ""
article['sentimentScore'], article['sentimentLabel'] = sentiment_computation(CONTENT_ENG.replace("\n",""))
article['id'] = uuid.uuid5(uuid.NAMESPACE_OID, article['titleCN']+article['publishDate'])
print(article['id'], article['site'] )
update_content(article)
def upsert_content(report):
"""Upsert the content records"""
dynamodb = get_db_connection()
table = dynamodb.Table('article_china')
# Define the item data
item = {
'id': str(report['id']),
'site': report['site'],
'title': report['title'],
'titleCN': report['titleCN'],
'contentCN': report['contentCN'],
'category': report['category'],
'author': report['author'],
'content': report['content'],
'subtitle': report['subtitle'],
'publishDate': report['publishDate'],
'link': report['link'],
'attachment': report['attachment'],
# 'authorID': str(report['authorid']),
# 'entityList': report['entitylist'],
'sentimentScore': Decimal(str(report['sentimentScore'])).quantize(Decimal('0.01')),
'sentimentLabel': report['sentimentLabel'],
'LastModifiedDate': datetime.now().strftime("%Y-%m-%dT%H:%M:%S")
}
response = table.put_item(Item=item)
print(response)
def get_client_connection():
"""Get dynamoDB connection"""
dynamodb = boto3.client(
service_name='dynamodb',
region_name='us-east-1',
aws_access_key_id=AWS_ACCESS_KEY_ID,
aws_secret_access_key=AWS_SECRET_ACCESS_KEY
)
return dynamodb
def delete_records(item):
dynamodb_client = get_client_connection()
dynamodb_client.delete_item(
TableName="article_test",
Key={
'id': {'S': item['id']},
'site': {'S': item['site']}
}
)
def update_content(report):
dynamodb = get_client_connection()
response = dynamodb.update_item(
TableName="article_test",
Key={
'id': {'S': str(report['id'])},
'site': {'S': report['site']}
},
UpdateExpression='SET title = :title, titleCN = :titleCN, contentCN = :contentCN, category = :category, author = :author, content = :content, subtitle = :subtitle, publishDate = :publishDate, link = :link, attachment = :attachment, sentimentScore = :sentimentScore, sentimentLabel = :sentimentLabel, LastModifiedDate = :LastModifiedDate',
ExpressionAttributeValues={
':title': {'S': report['title']},
':titleCN': {'S': report['titleCN']},
':contentCN': {'S': report['contentCN']},
':category': {'S': report['category']},
':author': {'S': report['author']},
':content': {'S': report['content']},
':subtitle': {'S': report['subtitle']},
':publishDate': {'S': report['publishDate']},
':link': {'S': report['link']},
':attachment': {'S': report['attachment']},
# 'authorID': str(report['authorid']),
# 'entityList': report['entitylist'],
# 'sentimentScore': {'N': str(Decimal(str(report['sentimentScore'])).quantize(Decimal('0.01')))},
# 'sentimentLabel': {'S': report['sentimentLabel']},
':LastModifiedDate': {'S': datetime.now().strftime("%Y-%m-%dT%H:%M:%S")},
':sentimentScore': {'N': str(Decimal(str(report['sentimentScore'])).quantize(Decimal('0.01')))},
':sentimentLabel': {'S': report['sentimentLabel']}
}
)
print(response)
def update_content_sentiment(report):
dynamodb = get_client_connection()
response = dynamodb.update_item(
TableName="article_test",
Key={
'id': {'S': report['id']},
'site': {'S': report['site']}
},
UpdateExpression='SET sentimentScore = :sentimentScore, sentimentLabel = :sentimentLabel',
ExpressionAttributeValues={
':sentimentScore': {'N': str(Decimal(str(report['sentimentscore'])).quantize(Decimal('0.01')))},
':sentimentLabel': {'S': report['sentimentlabel']}
}
)
print(response)