from flask import Flask, render_template, request
import advertools as ad
import pandas as pd
import json
import sys

app = Flask(__name__)


@app.route('/linkedin', methods=['GET', 'POST'])
def upload_file():
    return render_template('linkedin.html')


@app.route('/linkedin_upload', methods=['POST'])
def linkedin_upload():
    if request.method == 'POST':
        print("Files:\n", file=sys.stderr)
        print(dict(request.files.items()), file=sys.stderr)
        print("Forms:\n", file=sys.stderr)
        print(dict(request.form.items()), file=sys.stderr)

        f = request.files['linkedin_csv']

        type_linkedin = dict(request.form.items())['type_linkedin']
        file_csv = pd.read_csv(f)

        if type_linkedin == "Comments":
            corpus = [str(x) for x in file_csv['Message'].tolist()]
        elif type_linkedin == "Shares":
            corpus = [str(x) for x in
                      file_csv['ShareCommentary'].tolist()]
        else:
            corpus = []

        emoji_summary_messages = {"emoji_counts": ad.extract_emoji(corpus).get(
            'top_emoji')}

        print(emoji_summary_messages, file=sys.stderr)

        return render_template("result.html", emoji_summary_messages=emoji_summary_messages)


if __name__ == '__main__':
    app.run(debug=True)