Dateien nach "/" hochladen

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2025-06-27 19:46:46 +02:00
commit 9a1b4733da
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from flask import Flask, render_template, request, redirect, url_for, session
from flask_sqlalchemy import SQLAlchemy
import os
import uuid
from datetime import timedelta, datetime
import pandas as pd
from io import StringIO
import time
import schedule
app = Flask(__name__)
app.secret_key = os.urandom(24)
app.config['PERMANENT_SESSION_LIFETIME'] = timedelta(hours=24)
app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:///app_data.db'
app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = False
db = SQLAlchemy(app)
class Data(db.Model):
session_id = db.Column(db.String(36), primary_key=True)
json_data = db.Column(db.Text, nullable=False)
# Set up the application context
with app.app_context():
# Create the database tables
db.create_all()
def delete_old_csv_files():
"""
Deletes CSV files in the src/csv directory that are older than 24 hours.
"""
current_time = time.time()
csv_dir = 'src/csv'
for filename in os.listdir(csv_dir):
file_path = os.path.join(csv_dir, filename)
if os.path.isfile(file_path) and filename.endswith('.csv'):
file_age = current_time - os.path.getctime(file_path)
if file_age > 24 * 60 * 60:
os.remove(file_path)
@app.route('/')
def index():
return render_template('upload.html')
@app.route('/upload', methods=['POST'])
def upload():
session_id = str(uuid.uuid4())
if 'csv_file' not in request.files:
return 'No file part'
file = request.files['csv_file']
if file.filename == '':
return 'No selected file'
if file:
file.save(f'src/csv/{session_id}.csv')
data = []
df = pd.read_csv(f'src/csv/{session_id}.csv')
data_json = df.to_json(orient='records')
# Set up the application context before interacting with the database
with app.app_context():
# Save the data JSON string in the database
db.session.add(Data(session_id=session_id, json_data=data_json))
db.session.commit()
return redirect(url_for('show_data', session_id=session_id))
@app.route('/show_data/<session_id>')
def show_data(session_id):
result = Data.query.filter_by(session_id=session_id).first()
if result is None:
return redirect(url_for('index'))
data_json = result.json_data
# Use StringIO to wrap the JSON string
data = pd.read_json(StringIO(data_json), orient='records')
# Convert the DataFrame to a list of dictionaries
data_list = data.to_dict(orient='records')
return render_template('show_data.html', data=data_list, current=0)
@app.route('/about')
def about():
return render_template('about.html')
if __name__ == '__main__':
schedule.every(1).hours.do(delete_old_csv_files)
app.run(host="0.0.0.0", port=5000, debug=False)
while True:
schedule.run_pending()
time.sleep(1)