def sentiment_analyzer():
"""Returns the change in value in interval of days."""
query = request.args.get('query', type=str)
if query is None:
return Response("{'Message': 'Send query in get query'}",
status=404,
mimetype='application/json')
item = QueryModel.query.filter_by(query_=query).first()
if item is not None:
if valid_time(item.time):
return json.dumps(
{"predict": ast.literal_eval(item.list_predicted)})
else:
db.session.delete(item)
query = query.replace("%20", " ")
list_predicted = {}
try:
news_score = predict1(query).final_pred
except Exception as e:
return Response("{'Message': '" + str(e) + "'}",
status=404,
mimetype='application/json')
pool = ThreadPool(processes=4)
inter1 = pool.apply_async(pre, (1, news_score))
inter7 = pool.apply_async(pre, (7, news_score))
inter15 = pool.apply_async(pre, (15, news_score))
inter30 = pool.apply_async(pre, (30, news_score))
list_predicted["1"] = inter1.get()
list_predicted["7"] = inter7.get()
list_predicted["15"] = inter15.get()
list_predicted["30"] = inter30.get()
if item is None:
item = QueryModel(query_=query,
list_predicted=str(list_predicted),
news_score=news_score,
time=datetime.datetime.now())
db.session.add(item)
item.list_predicted = str(list_predicted)
item.news_score = news_score
# Try-catch to resolve integrity error
try:
db.session.commit()
except:
print("[ERROR]: Company query already exists!")
return json.dumps({"predict": list_predicted})
async def websocket_handler(ws: WebSocket):
await ws.accept()
while True:
query = await ws.receive_text()
if query is None or query == "":
await ws.send_json({"message": "Invalid query"})
await ws.close(code=1003)
break
try:
news = scraper(query)
news_score = predict1(query, news.results).final_pred
except InvalidQuery as e:
await ws.send_json({"message": str(e)})
await ws.close(code=1003)
break
pool = ThreadPool(processes=4)
inter1 = pool.apply_async(pre, (1, news_score))
inter7 = pool.apply_async(pre, (7, news_score))
inter15 = pool.apply_async(pre, (15, news_score))
inter30 = pool.apply_async(pre, (30, news_score))
list_predicted = {}
list_predicted[1] = inter1.get()
list_predicted[7] = inter7.get()
list_predicted[15] = inter15.get()
list_predicted[30] = inter30.get()
try:
stg = stock_graph(query,
[list_predicted[i] for i in [1, 7, 15, 30]])
except InvalidTicker as e:
await ws.send_json({"message": str(e)})
await ws.close(code=1003)
break
responseObj = {
"predictedPrice": {
1: stg.predict_price_value.iloc[1]["price"],
7: stg.predict_price_value.iloc[2]["price"],
15: stg.predict_price_value.iloc[3]["price"],
30: stg.predict_price_value.iloc[4]["price"],
},
"graph": stg.graphSocket(),
"summary": Summarize(news.get_title(), 3).generate_summary()
}
await ws.send_json(responseObj)
await ws.close(code=1000)
break
def test_invalid_predictor(self):
self.assertRaises(InvalidQuery, lambda: predict1("iaenflaisuef"))
def test_empty_predictor(self):
self.assertRaises(AssertionError, lambda: predict1(""))
def setUp(self):
self.pred = predict1("Tesla")
