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