remove IP analysis function
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requirements.txt
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requirements.txt
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@@ -1,125 +1,8 @@
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import pandas as pd
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import streamlit as st
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import requests
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import folium
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from streamlit_folium import folium_static
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import sqlite3
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from datetime import datetime
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from webpages import code_editor as ce
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# def get_ip():
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# try:
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# response = requests.get('https://api.ipify.org')
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# return response.text
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# except:
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# return "Unable to get IP"
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# def get_location(ip_address):
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# try:
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# response = requests.get(f'https://ipapi.co/{ip_address}/json/')
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# data = response.json()
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# return data['latitude'], data['longitude'], data['city'], data['country_name']
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# except:
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# return None, None, "Unknown", "Unknown"
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# def save_visitor(conn, lat, lon, city, country):
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# timestamp = datetime.now()
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# c = conn.cursor()
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# c.execute("INSERT INTO visitors (latitude, longitude, city, country, timestamp) VALUES (?, ?, ?, ?, ?)",
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# (lat, lon, city, country, timestamp))
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# conn.commit()
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# def get_all_visitors(conn):
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# df = pd.read_sql_query("SELECT * from visitors", conn)
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# return df
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# def create_map(df):
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# m = folium.Map(location=[41.2706, -97.1749], zoom_start=4)
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# # Create a custom icon
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# for _, row in df.iterrows():
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# folium.Marker(
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# location = [row['latitude'], row['longitude']],
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# popup=f"{row['city']}",
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# tooltip=f"{row['city']}"
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# ).add_to(m)
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# return m
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import psutil
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def get_connected_ips():
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connections = psutil.net_connections()
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ips = []
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for conn in connections:
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if conn.status == psutil.CONN_ESTABLISHED:
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ips.append(conn.raddr.ip)
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return ips
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improt streamlit as st
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def testing():
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st.title("Testing Page")
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st.write(get_connected_ips())
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# ce.code_editor()
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# # # [Work]code for instering youtube videos
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# # video = "https://youtu.be/HluANRwPyNo?feature=shared"
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# # st.video(video)
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# Initialize the database
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# conn = sqlite3.connect('./files/visitor_locations.db')
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# c = conn.cursor()
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# c.execute('''CREATE TABLE IF NOT EXISTS visitors
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# (id INTEGER PRIMARY KEY AUTOINCREMENT,
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# latitude REAL,
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# longitude REAL,
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# city TEXT,
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# country TEXT,
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# timestamp DATETIME)''')
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# conn.commit()
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# st.title('Visitor Location Tracker')
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# # Get and save current visitor's location
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# ip = get_ip()
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# lat, lon, city, country = get_location(ip)
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# if lat and lon:
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# save_visitor(conn, lat, lon, city, country)
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# st.write(f"Your location: {city}, {country}")
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# else:
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# st.write("Unable to determine your location")
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# # Display all visitors on a map
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# st.subheader('All Visitor Locations')
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# df = get_all_visitors(conn)
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# if not df.empty:
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# m = create_map(df)
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# folium_static(m)
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# else:
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# st.write("No visitor data available yet.")
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# # Display visitor statistics
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# st.subheader('Visitor Statistics')
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# col_visitors, col_cities, col_countries = st.columns(3)
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# if not df.empty:
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# with col_visitors:
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# st.metric(label="Total visitors", value= df['id'].nunique())
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# with col_cities:
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# st.metric(label="Total cities", value= df['city'].nunique())
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# with col_countries:
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# st.metric(label="Total countries", value= df['country'].nunique())
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# st.write("Top 5 cities:")
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# st.write(df['city'].value_counts().head())
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# else:
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# st.write("No visitor data available yet.")
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# # Close the database connection
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# conn.close()
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