exact_data2023/application/services/sentiment_service.py

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)
    print(data_clear)                       #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})