116 lines
3.9 KiB
Python
116 lines
3.9 KiB
Python
import streamlit as st
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import pandas as pd
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import mysql.connector
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from datetime import datetime
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import os
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from dotenv import load_dotenv
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load_dotenv()
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def get_filtered_users(customer_id, service_id, service_status):
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mydb = mysql.connector.connect(
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host=os.getenv("MYSQL_HOST"),
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user=os.getenv("MYSQL_USER"),
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password=os.getenv("MYSQL_PASSWORD"),
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database=os.getenv("MYSQL_DATABASE")
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)
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# Prepare the base query
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query = f"""
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SELECT us.user_id, u.username, s.service_ID, uss.status, uss.timestamp, c.companyname
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FROM Kunden.`users.status` us
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JOIN (
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SELECT user_id, MAX(timestamp) AS latest_timestamp
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FROM Kunden.`users.status`
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GROUP BY user_id
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) latest ON us.user_id = latest.user_id AND us.timestamp = latest.latest_timestamp
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JOIN Kunden.users u ON u.user_ID = us.user_id
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JOIN Kunden.`users.services` uss ON us.user_id = uss.user_id
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JOIN Kunden.services s ON uss.service_ID = s.service_ID
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JOIN Kunden.company c ON c.customer_ID = us.customer_ID
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WHERE 1=1
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"""
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if customer_id:
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query += f"AND us.customer_ID = {customer_id}"
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if service_id:
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query += f" AND s.service_ID = {service_id}"
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if service_status:
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query += f" AND uss.status = {service_status}"
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query += " ORDER BY uss.status DESC"
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users = pd.read_sql_query(query, mydb)
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mydb.close()
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return users
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def get_initial_data():
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mydb = mysql.connector.connect(
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host=os.getenv("MYSQL_HOST"),
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user=os.getenv("MYSQL_USER"),
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password=os.getenv("MYSQL_PASSWORD"),
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database=os.getenv("MYSQL_DATABASE")
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)
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# Fetch unique service IDs and names
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service_id_query = """
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SELECT DISTINCT s.service_ID, s.name
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FROM Kunden.services s
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"""
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service_ids = pd.read_sql_query(service_id_query, mydb)
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# Fetch customer information
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customer_query = """
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SELECT DISTINCT c.customer_ID, c.customer, co.companyname
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FROM Kunden.company co
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JOIN Kunden.customers c ON co.customer_ID = c.customer_ID
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"""
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customers = pd.read_sql_query(customer_query, mydb)
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mydb.close()
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return service_ids, customers
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def user_filter():
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st.title("User Filter :mag_right:")
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# Get initial data for widgets
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initial_service_ids, customers = get_initial_data()
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# Combine service_ID and name for display
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service_options = initial_service_ids.apply(lambda row: f"{row['service_ID']} - {row['name']}", axis=1)
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# Add selection widget for customer ID
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selected_customer = st.selectbox(
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'Select Customer',
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["All"] + customers.apply(lambda row: f"{row['customer_ID']} - {row['companyname']} - {row['customer']}",
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axis=1).tolist()
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)
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# Extract customer_ID from selected option
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selected_customer_id = None if selected_customer == "All" else int(selected_customer.split(' - ')[0])
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# Add selection widget for service ID
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selected_service = st.selectbox(
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'Select Service',
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["All"] + service_options.tolist()
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)
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# Extract service_ID from selected option
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selected_service_id = None if selected_service == "All" else int(selected_service.split(' - ')[0])
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# Add selection widget for service status
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selected_status = st.selectbox(
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'Select Service Status',
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["All", "1 - Active", "0 - Inactive"]
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)
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# Extract status from selected option
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service_status = None if selected_status == "All" else int(selected_status.split(' - ')[0])
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# Add a button to apply filters
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if st.button('Apply Filters'):
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# Fetch filtered data from the database
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filtered_data = get_filtered_users(selected_customer_id, selected_service_id, service_status)
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# Display the filtered data
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if not filtered_data.empty:
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st.dataframe(filtered_data)
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else:
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st.write("No data available for the selected filters.") |