Create app.py

app.py

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+import pandas as pd
+import streamlit as st
+
+# Set page configuration with a title and layout
+st.set_page_config(page_title="Umami Data Processing", layout="wide")
+
+# Display the main title of the application
+st.title("Importing CSVs from Umami Cloud to Self-Hosted Umami Data Processing Online")
+
+# Provide a link to a tutorial for more detailed instructions
+st.markdown("""
+For detailed instructions on how to use this tool, please visit [myblog](https://blog.closex.org/posts/29bdb155/) or .
+""")
+
+# Widget to upload the CSV file
+uploaded_file = st.file_uploader("Choose a CSV file", type=['csv'])
+
+# Text input for new website ID
+new_website_id = st.text_input("Enter the new website ID:")
+
+if uploaded_file is not None and new_website_id:
+    # Load the CSV file
+    df = pd.read_csv(uploaded_file)
+
+    # Update the website_id column with the user-provided website ID
+    df['website_id'] = new_website_id
+
+    # Define the columns for the website_event table
+    website_event_columns = [
+        'event_id', 'website_id', 'session_id', 'created_at', 'url_path',
+        'url_query', 'referrer_path', 'referrer_query', 'referrer_domain',
+        'page_title', 'event_type', 'event_name', 'visit_id'
+    ]
+
+    # Create DataFrame for website_event data
+    df_website_event = df[website_event_columns]
+    df_website_event.to_csv('website_event.csv', index=False)
+    st.download_button(label="Download Website Event CSV", data=df_website_event.to_csv(index=False), file_name='website_event.csv', mime='text/csv')
+
+    # Define the columns for the session table
+    session_columns = [
+        'session_id', 'website_id', 'hostname', 'browser', 'os', 'device',
+        'screen', 'language', 'country', 'subdivision1', 'subdivision2',
+        'city', 'created_at'
+    ]
+
+    # Create DataFrame for session data
+    df_session = df[session_columns]
+    df_session.to_csv('session.csv', index=False)
+    st.download_button(label="Download Session CSV", data=df_session.to_csv(index=False), file_name='session.csv', mime='text/csv')
+
+    st.success("Successfully generated website_event.csv and session.csv")