# _*_ coding=utf-8 _*_
import logging
import tika
import nltk
import random
import string
import os
from newspaper import Article, build, Config
from bs4 import BeautifulSoup
from contextlib import closing
from requests import get, Response
from requests.exceptions import RequestException
from re import findall
from readability import Document
from gtts import gTTS
from datetime import datetime as time
from fastapi import FastAPI
# FIXME-maybe actually really do some logging
def logError(err: RequestException) -> None:
"""Logs the errors."""
logging.exception(err)
def isAGoodResponse(resp: Response) -> bool:
"""Checks whether the get we sent got a 200 response."""
content_type = resp.headers["Content-Type"].lower()
return resp.status_code == 200 and content_type is not None
def simpleGet(url: str) -> bytes:
"""Issues a simple get request."""
try:
with closing(get(url, stream=True)) as resp:
if isAGoodResponse(resp):
return resp.content
else:
return None
except RequestException as e:
logError("Error during requests to {0} : {1}".format(url, str(e)))
return None
def getWithParams(url: str, params: dict) -> dict:
"""Issues a get request with params."""
try:
with closing(get(url, params=params, stream=True)) as resp:
if isAGoodResponse(resp):
return resp.json()
else:
return None
except RequestException as e:
logError("Error during requests to {0} : {1}".format(url, str(e)))
return None
def getRandStr(n):
"""Return a random string of the given length."""
return "".join([random.choice(string.lowercase) for i in range(n)])
def getURLS(source: str) -> dict:
"""Extracts the urls from a website."""
result = dict()
raw_ml = simpleGet(source)
ml = BeautifulSoup(raw_ml, "lxml")
rand_tmp = "/tmp/" + getRandStr(20)
ml_str = repr(ml)
tmp = open(rand_tmp, "w")
tmp.write(ml_str)
tmp.close()
tmp = open(rand_tmp, "r")
url_list = []
for line in tmp:
url = findall(
"http[s]?://(?:[a-zA-Z]|[0-9]|[$-_@.&+]|[!*(),]|"
r"(?:%[0-9a-fA-F][0-9a-fA-F]))+",
line,
)
url_list += url
for elem in url_list:
result[elem] = elem
tmp.close()
return result
def configNews(config: Config) -> None:
"""Configures newspaper."""
config.fetch_images = False
config.keep_article_html = True
config.memoize_articles = False
config.browser_user_agent = "Chrome/91.0.4464.5"
# FIXME-have to decide whether to use files or urls
def pdfToVoice() -> str:
"""Main function for converting a pdf to an mp3."""
outfile = str()
try:
rawText = tika.parser.from_file()
tts = gTTS(rawText["content"])
outfile = getRandStr(20) + ".mp3"
tts.save(outfile)
except Exception as e:
logging.exception(e)
finally:
return outfile
def extractRequirements(textBody: str) -> list:
"""Extract the sentences containing the keywords that denote a requirement.
the keywords are baed on ISO/IEC directives, part 2:
https://www.iso.org/sites/directives/current/part2/index.xhtml
"""
result = []
REQ_KEYWORDS = [
"shall",
"shall not",
"should",
"should not",
"must",
"may",
"can",
"cannot",
]
nltk.download("punkt")
sentences = nltk.sent_tokenize(textBody)
for sentence in sentences:
for keyword in REQ_KEYWORDS:
if sentence.find(keyword) >= 0:
result.append(sentence)
return result
def summarizeText(text: str) -> str:
"""Summarize the given text using bart."""
import transformers
model = transformers.BartForConditionalGeneration.from_pretrained(
"facebook/bart-large-cnn"
)
tokenizer = transformers.BartTokenizer.from_pretrained(
"facebook/bart-large-cnn"
)
inputs = tokenizer([text], max_length=1024, return_tensors="pt")
summary_ids = model.generate(
inputs["input_ids"], num_beams=4, max_length=5, early_stopping=True
)
return [
tokenizer.decode(
g, skip_special_tokens=True, clean_up_tokenization_spaces=False
)
for g in summary_ids
]
def textToAudio(text: str) -> str:
"""Transform the given text into audio."""
try:
path = str()
path = (
os.environ["AUDIO_DUMP_DIR"]
+ time.today().strftime("%b-%d-%Y-%M-%S-%f")
+ ".mp3"
)
tts = gTTS(text)
tts.save(path)
except Exception as e:
logging.exception(e)
finally:
return path
def getRequirements(url: str, sourcetype: str) -> list:
"""Runs the single-link main function."""
result = str()
results = list()
try:
if sourcetype == "html":
parser = build(url)
for article in parser.articles:
a = Article(article.url)
a.download()
a.parse()
doc = Document(a.html)
# print(doc.summary())
results = extractRequirements(doc.summary())
elif sourcetype == "text":
bytesText = simpleGet(url)
results = extractRequirements(bytesText.decode("utf-8"))
except Exception as e:
logging.exception(e)
finally:
result = "".join(results + "\n")
return result
def summarizeLinkToAudio(url, summary) -> str:
"""Summarizes the text inside a given url into audio."""
result = str()
try:
article = Article(url)
article.download()
article.parse()
if summary == "newspaper":
article.nlp()
result = article.summary
elif summary == "none":
result = article.text
elif summary == "bart":
result = article.text
else:
print("invalid option for summary type.")
result = None
except Exception as e:
result = None
logging.exception(e)
finally:
return result
def summarizeLinksToAudio(url, summary) -> None:
"""Summarize a list of urls into audio files."""
results = list()
result = str()
try:
config = Config()
configNews(config)
urls = getURLS(url, summary)
for url in urls:
results.append(summarizeLinkToAudio(url))
except Exception as e:
logging.exception(e)
finally:
result = "".join(results)
return result
def searchWikipedia(search_term: str) -> str:
"""Search wikipedia for a string and return the url.
reference: https://www.mediawiki.org/wiki/API:Opensearch
"""
result = str()
try:
searchParmas = {
"action": "opensearch",
"namespace": "0",
"search": search_term,
"limit": "10",
"format": "json",
}
res = getWithParams(os.environ["WIKI_SEARCH_URL"], searchParmas)
# FIXME-handle wiki redirects/disambiguations
# argparser.args.source = res[3][0]
print(res)
except Exception as e:
logging.exception(e)
finally:
return result
def getAudioFromFile(audio_path: str) -> str:
"""Returns the contents of a file in binary format"""
with open(audio_path, "rb") as audio:
return audio.read()
app = FastAPI()
@app.get("/tika")
async def pdf_to_audio_ep(url: str):
"""turns a pdf into an audiofile"""
audio_path = pdfToVoice()
return {
"Content-Type": "application/json",
"isOK": True if audio_path != "" else False,
"audio": getAudioFromFile(audio_path) if audio_path != "" else "",
}
@app.get("/reqs")
async def extract_reqs_ep(url: str, sourcetype: str = "html"):
"""extracts the requirements from a given url"""
result = getRequirements()
return {
"Content-Type": "application/json",
"isOK": True if result != "" else False,
"reqs": result,
}
@app.get("/wiki")
async def wiki_search_ep(term: str, audio: bool = False):
"""search and summarizes from wikipedia"""
text = searchWikipedia(term)
if audio:
audio_path = textToAudio(text)
return {
"Content-Type": "application/json",
"isOK": (True if audio_path != "" else False)
and (True if text != "" else False),
"audio": getAudioFromFile(audio_path) if audio_path != "" else "",
"text": text,
}
else:
return {
"Content-Type": "application/json",
"isOK": True if text != "" else False,
"audio": "",
"text": text,
}
@app.get("/summ")
async def summarize_ep(url: str, summary: str = "none", audio: bool = False):
"""summarize and turn the summary into audio"""
text = summarizeLinkToAudio(url, summary)
if audio:
audio_path = textToAudio(text)
return {
"Content-Type": "application/json",
"isOK": (True if audio_path != "" else False)
and (True if text != "" else False),
"audio": getAudioFromFile(audio_path) if audio_path != "" else "",
"text": text,
}
else:
return {
"Content-Type": "application/json",
"isOK": True if text != "" else False,
"audio": "",
"text": text,
}
@app.get("/mila")
async def mila_ep(url: str, summary: str = "newspaper", audio: bool = False):
"""extract all the urls and then summarize and turn into audio"""
text = summarizeLinksToAudio(url, summary)
if audio:
audio_path = textToAudio(text)
return {
"Content-Type": "application/json",
"isOK": (True if audio_path != "" else False)
and (True if text != "" else False),
"audio": getAudioFromFile(audio_path) if audio_path != "" else "",
"text": text,
}
else:
return {
"Content-Type": "application/json",
"isOK": True if text != "" else False,
"audio": "",
"text": text,
}