exact_data2023/application/services/sentiment_service.py
Maciej Ścigacz 04378a3888 test
2023-05-30 21:18:30 +02:00

36 lines
1.2 KiB
Python

from flask import(
request,
jsonify,
Blueprint,
)
from application.functions.sentiment import sentiment_prediction, count_predictions, clear_data, scrapp_comments
sentiment_service = Blueprint("sentiment_service", __name__)
@sentiment_service.route("/get_sentiment_data", methods=['POST'])
def get_data():
data = request.get_json()
data_clear = clear_data(data) #czyszczenie danych wejsciowych
predicitons = sentiment_prediction(data_clear) #predykcje
count_labels = count_predictions(predicitons) #dane do wykresu
for i in range(0, len(predicitons)):
predicitons[i]['sentence'] = data['sentences'][i]
predicitons[i]['label'] = predicitons[i]['label'][6:]
return jsonify({"predictions": predicitons, "count_labels": count_labels})
@sentiment_service.route("/scrapp_comments", methods=['POST'])
def scrapp():
try:
url = request.get_json()
result = scrapp_comments(url['link'])
result['status'] = True
return result
except:
return jsonify({'status':False})
@sentiment_service.route("/hello", methods=['POST'])
def elo():
return "helo world"