many changes

.gitignore

@@ -0,0 +1,3 @@
+apps/ticket_export/exports/RE2025.00012.1.docx
+apps/ticket_export/exports/RE2025.00013.1.docx
+apps/ticket_export/exports/RE2025.00014.1.docx

.streamlit/config.toml

@@ -5,5 +5,7 @@ backgroundColor="#2c3e50"
 secondaryBackgroundColor="#34495e"
 textColor="#ffffff"
 font="sans serif"
-
 layout="wide"
+
+[browser]
+serverAddress = "reporting.stines.de"

app.py

@@ -1,52 +1,188 @@
 import streamlit as st
+from streamlit_option_menu import option_menu
+from sqlalchemy import create_engine
 import sites.services_reporting as sr
 import sites.userlist as us
 import sites.server as s
 import sites.tickets as ti
 import sites.lastrun as lr
+from datetime import datetime
+from dateutil.relativedelta import relativedelta
+import mysql.connector
+import pandas as pd
+import os
+
 # Page Settings
-st.set_page_config(page_title="Reporting",layout="wide")
+st.set_page_config(page_title="Reporting", layout="wide")
+
+start_date = datetime.today().replace(day=1) - relativedelta(months=1)
+end_date = datetime.today().replace(day=1) - relativedelta(days=1)
+start_date_lastmonth = datetime.today().replace(day=1) - relativedelta(months=2)
+end_date_lastmonth = datetime.today().replace(day=1) - relativedelta(months=1) - relativedelta(days=1)
+
+# Datumsformatierung
+start_date_format = start_date.strftime("%Y-%m-%d")
+end_date_format = end_date.strftime("%Y-%m-%d")
 
 # Load custom CSS
 def load_css(file_name):
     with open(file_name) as f:
         st.markdown(f'<style>{f.read()}</style>', unsafe_allow_html=True)
 
-load_css('style.css')
+def get_customer_used_service(end_date):
-# Define page functions
+    mydb = mysql.connector.connect(
+        host=os.getenv("MYSQL_HOST"),
+        user=os.getenv("MYSQL_USER"),
+        password=os.getenv("MYSQL_PASSWORD"),
+        database=os.getenv("MYSQL_DATABASE")
+    )
+
+    mycursor = mydb.cursor()
+
+    mycursor.execute(f"""SELECT cs.companyname, cs.customer_ID, cs.services_ID,cs.name from Kunden.`daily.customer.services` cs WHERE add_date LIKE '%{end_date}%'""")
+
+    myresult = mycursor.fetchall()
+    mydb.close()
+    return myresult
+
+def load_server_list(start_date, end_date):
+    db_url = (
+        f"mysql+mysqlconnector://{os.getenv('MYSQL_USER')}:"
+        f"{os.getenv('MYSQL_PASSWORD')}@{os.getenv('MYSQL_HOST')}/"
+        f"{os.getenv('MYSQL_DATABASE')}"
+    )
+    engine = create_engine(db_url)
+    query = f"""
+                SELECT server, cores, customer_id
+                FROM Kunden.`daily.spla.server` sr
+                WHERE sr.timestamp BETWEEN '{start_date}' AND '{end_date}'
+    """
+    max_server_count = pd.read_sql_query(query, engine)
+    return max_server_count
+
+
+def load_user_service_list(service_id, customer_id, start_date, end_date):
+    db_url = (
+        f"mysql+mysqlconnector://{os.getenv('MYSQL_USER')}:"
+        f"{os.getenv('MYSQL_PASSWORD')}@{os.getenv('MYSQL_HOST')}/"
+        f"{os.getenv('MYSQL_DATABASE')}"
+    )
+    engine = create_engine(db_url)
+
+    query = f"""
+            SELECT COUNT(*) AS max_count
+            FROM (
+                SELECT username
+                FROM Kunden.`daily.user.enabled` sr
+                WHERE sr.customer_ID = {customer_id}
+                AND sr.services_ID = {service_id}
+                AND sr.timestamp BETWEEN '{start_date_format}' AND '{end_date_format}'
+            ) AS sub;
+    """
+    max_user_count = pd.read_sql_query(query, engine)
+    return max_user_count.iloc[0]['max_count'] if not max_user_count.empty else 0
+
+def load_user_disabled(start_date, end_date,customer_id):
+    db_url = (
+        f"mysql+mysqlconnector://{os.getenv('MYSQL_USER')}:"
+        f"{os.getenv('MYSQL_PASSWORD')}@{os.getenv('MYSQL_HOST')}/"
+        f"{os.getenv('MYSQL_DATABASE')}"
+    )
+    engine = create_engine(db_url)
+
+    query = f"""
+            SELECT disabledate, username, service_name, customer_name, ticketnumber, comment
+            FROM Kunden.`daily.user.disabled` sud
+            WHERE sud.disabledate BETWEEN '{start_date}' AND '{end_date}' AND customer_id = '{customer_id}' AND services_id IN (100,101,116,120) ORDER BY service_name
+    """
+    all = pd.read_sql_query(query, engine)
+    return all
+
 def home():
-    st.title("Home Page")
+    st.title("Dashboard")
-    st.write("Welcome to the Home Page!")
+    edit_start_date = start_date.strftime("%d.%m.%Y")
+    edit_end_date = end_date.strftime("%d.%m.%Y")
+    edit_start_date_lastmonth = start_date_lastmonth.strftime("%d.%m.%Y")
+    edit_end_date_lastmonth = end_date_lastmonth.strftime("%d.%m.%Y")
+    st.subheader(f"Übersicht {edit_start_date} - {edit_end_date}")
+    previous_value = None
+    columns = None
     
+    c = 0
+    print(end_date)
+    for i in get_customer_used_service(end_date.strftime("%Y-%m-%d")):
+        print(i)
+        if previous_value != i[1]:
+            st.subheader(f"{i[0]}")
+            columns = st.columns(4)
+            df = load_user_disabled(start_date_lastmonth, end_date_lastmonth, i[1])
             
-if 'page' not in st.session_state:
+            if not df.empty:
-    st.session_state.page = 'Home'
+                st.text(f"Deaktivierte User {edit_start_date_lastmonth} - {edit_end_date_lastmonth}")
+                st.data_editor(df,use_container_width=True)
+            c = 0
         
-# Sidebar navigation
+        active_users = load_user_service_list(i[2], i[1], start_date, end_date)
-st.sidebar.title("Navigation")
-if st.sidebar.button('Home'):
-    st.session_state.page = 'Home'
-if st.sidebar.button('Services Reporting'):
-    st.session_state.page = 'Services Reporting'
-if st.sidebar.button('User Filter'):
-    st.session_state.page = 'User Filter'
-if st.sidebar.button('Server'):
-    st.session_state.page = 'Server'
-if st.sidebar.button('Tickets'):
-    st.session_state.page = 'Tickets'
-if st.sidebar.button('Last-Run'):
-    st.session_state.page = 'Last-Run'
         
-# Page display logic
+        # Filter nach dem spezifischen Service und zähle die eindeutigen Benutzernamen
-if st.session_state.page == 'Home':
+        disabled_users_count = 0
+        if not df.empty and 'service_name' in df.columns and 'username' in df.columns:
+            # Annahme: i[3] enthält den Service-Namen, der mit der 'service_name'-Spalte übereinstimmt
+            service_filtered_df = df[df['service_name'] == i[3]]
+            disabled_users_count = service_filtered_df['username'].nunique()
+        
+        if not active_users:
+            st.info(f"Kunde {i[0]} - Service {i[3]} - Not Data found!")
+        else:
+            columns[c].metric(
+                label=f"Aktive {i[3]} User", 
+                value=active_users,
+                delta=f"-{disabled_users_count}" if disabled_users_count > 0 else None,
+                delta_color="inverse"
+            )
+            c += 1 
+            previous_value = i[1]
+
+    col1, = st.columns(1)
+    df = load_server_list(start_date,end_date)
+    grouped = df.groupby('server')['cores'].count()*8/2
+    grouped_series = df.groupby('server')['cores'].max()
+    grouped_str = grouped_series.to_string(header=False)
+    df['cores'] = pd.to_numeric(df['cores'], errors='coerce')
+    server_cores = df.groupby('server')['cores'].max()
+    count_cores = server_cores.count()
+    with col1:
+        st.header("CPU Liste")
+        st.text(
+            f"Anzahl der Cores:\n{grouped_str}\n "
+        )
+        st.text(f"Gesamte Anzahl der Cores: {count_cores}")
+        st.text(f"Berechung der Core-Pakete = Anzahl der Cores ({count_cores}) * Core-Pakete aus SPLA (8) / 2")
+        st.header(f"Gesamt : {str(grouped.sum()).split('.')[0]} Pakete")
+
+    # Ausgabe der Ergebnisse
+            
+# Navigation bar using streamlit-option-menu
+with st.sidebar:
+    selected_page = option_menu(
+        menu_title="Navigation",  # required
+        options=["Dashboard", "Services Reporting", "User Filter", "Server", "Tickets", "Last-Run"],  # required
+        icons=["house", "bar-chart", "filter", "server", "ticket", "clock"],  # optional
+        menu_icon="cast",  # optional
+        default_index=0,  # optional
+        orientation="vertikal",  # horizontal navigation
+    )
+
+# Page display logic based on selected option
+if selected_page == "Dashboard":
     home()
-elif st.session_state.page == 'Services Reporting':
+elif selected_page == "Services Reporting":
     sr.services_reporting()
-elif st.session_state.page == 'User Filter':
+elif selected_page == "User Filter":
     us.user_filter()
-elif st.session_state.page == 'Server':
+elif selected_page == "Server":
     s.server_filter()
-elif st.session_state.page == 'Tickets':
+elif selected_page == "Tickets":
     ti.ticket_filter()
-elif st.session_state.page == 'Last-Run':
+elif selected_page == "Last-Run":
     lr.user_filter()

apps/ticket_export/main.py

@@ -24,11 +24,12 @@ def fetch_tickets_from_database():
     cursor = mydb.cursor()
 
     # Tickets abrufen, inklusive customer_ID
-    cursor.execute("""
+    cursor.execute(f"""
-        SELECT t.`number`, t.title, t.createdate, t.`type`, t.customer_ID, tct.firstdate, t.time, s.price, t.service_ID
+        SELECT t.`number`, t.title, t.createdate, t.`type`, t.customer_ID, tct.firstdate, t.time, s.price, t.service_ID, t.tags
         FROM Kunden.tickets t
         JOIN Kunden.`tickets.customer.timerange` tct ON t.customer_ID = tct.customer_ID
         JOIN Kunden.services s ON s.service_ID = t.service_ID
+        WHERE closedate >= DATE_SUB(CURDATE(), INTERVAL 32 DAY)
         ORDER by t.createdate ASC
     """)
     tickets = cursor.fetchall()
@@ -136,7 +137,7 @@ def set_cell_border(cell, **kwargs):
 
 def fill_template(doc_path, output_path, data, tickets):
     doc = Document(doc_path)
-
+    print("Korrekt")
     # Platzhalter in normalem Text ersetzen
     for paragraph in doc.paragraphs:
         for key, value in data.items():
@@ -161,8 +162,15 @@ def fill_template(doc_path, output_path, data, tickets):
     second_table = doc.tables[1]
     for ticket in tickets:
         row = second_table.add_row()
+        ticket_number, title, createdate, _, _, _, timerange, _, _, tags = ticket
+
+        print(ticket[9])
+
         row.cells[0].text = ticket[0]  # Ticketnummer
-        row.cells[1].text = ticket[1]  # Tickettitel
+        if ticket[9]:  
+            row.cells[1].text = f"{ticket[1]} - {ticket[9]}"  # Tickettitel
+        else:
+            row.cells[1].text = ticket[1]
         row.cells[2].text = ticket[2].strftime("%d.%m.%Y")  # createdate als String formatieren
         row.cells[3].text = str(ticket[6])  # timerange (time_unit)
 
@@ -228,11 +236,15 @@ if __name__ == "__main__":
    price = next(iter(set(ticket[7] for ticket in tickets)))
    customer_ids = set(ticket[4] for ticket in tickets)
    
+   print(tickets)
+   print(customer_ids)
+
    for customer_id in customer_ids:
        customer_data = fetch_customer_data(customer_id)
        customer_servicetime = fetch_customer_servicetime(customer_id)
        customer_price = fetch_customer_price(price, customer_id, service_ID)
        customer_tickets = [ticket for ticket in tickets if ticket[4] == customer_id]
+       print(customer_data)
 
        if not customer_data:
            print(f"Keine Kundendaten für Kunden-ID {customer_id} gefunden!")
@@ -255,24 +267,23 @@ if __name__ == "__main__":
            "housenumber": customer_data[2],
            "postcode": customer_data[3],
            "city": customer_data[4],
-           "customernumber": customer_data[5],
+           "cnumber": customer_data[5],
            "year": datetime.now().year,
-           "ordernumber": "0001",
+           "onumber": "1",
            "startdate": startdate.strftime("%d.%m.%Y"),
            "enddate": enddate.strftime("%d.%m.%Y"),
            "today": datetime.now().strftime("%d.%m.%Y"),
            "price_per_minute": customer_price,
            "servicetime": customer_servicetime[0],
            "gesamt_time_unit": 0,
-           "price_ex_mwst": 0,
+           "price_ex_mwst": "0,00",
            "sl_time_unit": 0,
            "sl_minus_unit": 0,
            "zl_time_unit": 0,
            "time_unit_sum": 0,
-           "mwst_set": 0,
+           "mwst_set": "0,00",
-           "sum": 0,
+           "sum": "0,00",
        }
-
+       output_path = f"apps/ticket_export/exports/RE2025.{customer_data[5]}.{data['onumber']}.docx"
-       output_path = f"apps/ticket_export/exports/RE2024.{customer_data[5]}.{data['ordernumber']}.docx"
        fill_template('apps/ticket_export/template.docx', output_path, data, customer_tickets)
 print("True")

docker-compose.yaml

@@ -0,0 +1,13 @@
+services:
+   streamlit:
+    build:
+      context: .
+      dockerfile: dockerfile
+    ports:
+     - 80:80
+    networks:
+     - frontend
+
+networks:
+  frontend:
+    driver: bridge

dockerfile

@@ -16,6 +16,6 @@ RUN pip3 install -r requirements.txt
 
 EXPOSE 80
 
-HEALTHCHECK CMD curl --fail http://localhost:8501/_stcore/health
+HEALTHCHECK CMD curl --fail http://localhost:80/_stcore/health
 
 ENTRYPOINT ["streamlit", "run", "app.py", "--server.port=80", "--server.address=0.0.0.0"]

sites/lastrun.py

@@ -16,14 +16,14 @@ def get_filtered_users(customer_id, service_id):
         database=os.getenv("MYSQL_DATABASE")
     )
 
-    query = f"""SELECT * FROM Kunden.`services.reporting` where DATE(reportingdate) = CURDATE() """
+    query = f"""SELECT * FROM Kunden.`daily.user.online` where DATE(timestamp) = CURDATE() """
 
     
     if customer_id:
         query += f"AND customer_ID = {customer_id}"
     if service_id:
-        query += f" AND service_ID = {service_id}"
+        query += f" AND services_id = {service_id}"
-    query += " ORDER BY reportingdate DESC"
+    query += " ORDER BY timestamp DESC"
     users = pd.read_sql_query(query, mydb)
     print(query)
     mydb.close()

sites/server.py

@@ -8,7 +8,7 @@ from dotenv import load_dotenv
 load_dotenv()
 
 
-def get_filtered_server(customer_id, service_id, service_status):
+def get_filtered_server(customer_ids, service_id, service_status, os_type, reporting):
     mydb = mysql.connector.connect(
         host=os.getenv("MYSQL_HOST"),
         user=os.getenv("MYSQL_USER"),
@@ -18,23 +18,30 @@ def get_filtered_server(customer_id, service_id, service_status):
 
     # Prepare the base query
     query = f"""
-            select s.hostname,s.privat_ipaddress,s.public_ipaddress, s.ram, s.createdate, s.disabledate,s.customer_ID,s.server_ID,hc.name,hc.core 
+            select s.hostname, s.privat_ipaddress, s.public_ipaddress, s.ram, s.createdate, s.disabledate, s.os, s.customer_ID, s.server_ID, hc.name, hc.core 
             from Kunden.server s
             join Kunden.`hardware.cpu` hc ON hc.cpu_ID = s.cpu_ID
             WHERE 1=1
     """
-    if customer_id:
+    
-        query += f"AND s.customer_ID = {customer_id}"
+    # If multiple customers are selected, use the IN clause
+    if customer_ids:
+        customer_ids_str = ', '.join([str(id) for id in customer_ids])
+        query += f" AND s.customer_ID IN ({customer_ids_str})"
+    
     if service_id:
         query += f" AND s.service_ID = {service_id}"
     if service_status:
         query += f" AND s.status = {service_status}"
+    if os_type:
+        query += f" AND s.os = '{os_type}'"
+    if reporting == "True":
+        query += f" AND licensekey IS NOT NULL"
 
     users = pd.read_sql_query(query, mydb)
     mydb.close()
     return users
 
-
 def get_initial_data():
     mydb = mysql.connector.connect(
         host=os.getenv("MYSQL_HOST"),
@@ -60,7 +67,6 @@ def get_initial_data():
     mydb.close()
     return service_ids, customers
 
-
 def server_filter():
     st.title("Server Filter :mag_right:")
     # Get initial data for widgets
@@ -68,15 +74,17 @@ def server_filter():
     # Combine service_ID and name for display
     service_options = initial_service_ids.apply(lambda row: f"{row['service_ID']} - {row['name']}", axis=1)
 
-    # Add selection widget for customer ID
+    # Create a dictionary for customer selection
-    selected_customer = st.selectbox(
+    customer_dict = {f"{row['companyname']} - {row['customer']}": row['customer_ID'] for _, row in customers.iterrows()}
-        'Select Customer',
+
-        ["All"] + customers.apply(lambda row: f"{row['customer_ID']} - {row['companyname']} - {row['customer']}",
+    # Use multiselect for multiple customer selection
-                                  axis=1).tolist()
+    selected_customers = st.multiselect(
+        'Select Customer(s)',
+        list(customer_dict.keys())  # Display only companyname and customer
     )
 
-    # Extract customer_ID from selected option
+    # Get the corresponding customer IDs
-    selected_customer_id = None if selected_customer == "All" else int(selected_customer.split(' - ')[0])
+    selected_customer_ids = [customer_dict[customer] for customer in selected_customers]
 
     # Add selection widget for service ID
     selected_service = st.selectbox(
@@ -96,13 +104,33 @@ def server_filter():
     # Extract status from selected option
     service_status = None if selected_status == "All" else int(selected_status.split(' - ')[0])
 
+    # Add SPLA server selection
+    reporting_box = st.selectbox(
+        'Select SPLA Server',
+        ["Nein", "Ja"]
+    )
+    
+    # Extract reporting status
+    reporting = None if reporting_box == "Nein" else "True"
+
+    # Add OS type selection
+    os_box = st.selectbox(
+        'Select OS Type',
+        ["All", "Linux", "Windows"]
+    )
+    
+    # Extract OS type
+    os_type = None if os_box == "All" else os_box
+
     # Add a button to apply filters
     if st.button('Apply Filters'):
         # Fetch filtered data from the database
-        filtered_data = get_filtered_server(selected_customer_id, selected_service_id, service_status)
+        filtered_data = get_filtered_server(selected_customer_ids, selected_service_id, service_status, os_type, reporting)
-
         # Display the filtered data
         if not filtered_data.empty:
             st.dataframe(filtered_data)
+            st.text(f"CPU SUMME = {sum(filtered_data['core'])}" )
+            st.text(f"Berechung der Core-Pakete: Anzahl der Cores({filtered_data['core'].count()}) * Core-Pakete aus SPLA (8) / 2")
+            st.text(f"Reporting Core-Pakete = {(filtered_data['core'].count())*8/2}".split('.')[0])
         else:
             st.write("No data available for the selected filters.")

sites/services_reporting.py

@@ -1,55 +1,153 @@
 import streamlit as st
 import pandas as pd
 import mysql.connector
-from datetime import datetime, date
+from datetime import datetime, date, timedelta
+from sqlalchemy import create_engine
 import os
 from dotenv import load_dotenv
+import altair as alt
 
 load_dotenv()
 
-
 def get_filtered_data(customer_id, service_id, start_date, end_date):
-    mydb = mysql.connector.connect(
-        host=os.getenv("MYSQL_HOST"),
-        user=os.getenv("MYSQL_USER"),
-        password=os.getenv("MYSQL_PASSWORD"),
-        database=os.getenv("MYSQL_DATABASE")
-    )
-
-    # Prepare the query
-    query = f"""
-        SELECT DATE_FORMAT(sr.reportingdate, '%Y-%m') AS month, 
-               COUNT(DISTINCT sr.username) as count
-        FROM Kunden.`services.reporting` sr
-        JOIN Kunden.services s ON sr.service_ID = s.service_ID
-        WHERE sr.customer_ID = {customer_id}
-          AND sr.service_ID = {service_id} 
-          AND sr.username NOT LIKE '%admin%' 
-          AND sr.username NOT LIKE '%test%' 
-          AND sr.reportingdate BETWEEN '{start_date}' AND '{end_date}'
-        GROUP BY DATE_FORMAT(sr.reportingdate, '%Y-%m')
-        ORDER BY DATE_FORMAT(sr.reportingdate, '%Y-%m');
     """
+    Fetches the user count data grouped by month within the specified date range.
+    """
+    db_url = (
+        f"mysql+mysqlconnector://{os.getenv('MYSQL_USER')}:"
+        f"{os.getenv('MYSQL_PASSWORD')}@{os.getenv('MYSQL_HOST')}/"
+        f"{os.getenv('MYSQL_DATABASE')}"
+    )
+    engine = create_engine(db_url)
 
-    service_reporting = pd.read_sql_query(query, mydb)
+    query = f"""
-    mydb.close()
+        SELECT DATE_FORMAT(add_date, '%Y-%m') AS day, 
+               count as count
+        FROM Kunden.`daily.users.count_by_services`
+        WHERE customer_ID = {customer_id}
+          AND services_ID = {service_id} 
+          AND add_date BETWEEN '{start_date}' AND '{end_date}'
+        ORDER BY DATE_FORMAT(add_date, '%Y-%m');
+    """
+    service_reporting = pd.read_sql_query(query, engine)
+    #engine.close()
     return service_reporting
 
 
-def get_initial_data():
+def get_user_online(customer_id,service_id,start_date,end_date):
-    mydb = mysql.connector.connect(
+    db_url = (
-        host=os.getenv("MYSQL_HOST"),
+        f"mysql+mysqlconnector://{os.getenv('MYSQL_USER')}:"
-        user=os.getenv("MYSQL_USER"),
+        f"{os.getenv('MYSQL_PASSWORD')}@{os.getenv('MYSQL_HOST')}/"
-        password=os.getenv("MYSQL_PASSWORD"),
+        f"{os.getenv('MYSQL_DATABASE')}"
-        database=os.getenv("MYSQL_DATABASE")
     )
+    engine = create_engine(db_url)
+    if service_id == 100:
+        user_info = "sr.primarymail"
+    else:
+        user_info = "sr.username"
+    query = f"""
+        SELECT 
+            {user_info} as username
+        FROM Kunden.`daily.user.online` sr
+        WHERE sr.customer_ID = {customer_id}
+        AND sr.services_ID = {service_id}
+        AND sr.timestamp BETWEEN '{start_date}' AND '{end_date}'
+        GROUP BY {user_info}
+        ORDER BY {user_info};
+    """
+    user_online = pd.read_sql_query(query, engine)
+    user_online_count= user_online.shape[0]
+    #mydb.close()
+    return user_online, user_online_count
+
+def get_max_user_count(customer_id, service_id, start_date, end_date):
+    """
+    Fetches the maximum user count within the specified date range.
+    """
+    db_url = (
+        f"mysql+mysqlconnector://{os.getenv('MYSQL_USER')}:"
+        f"{os.getenv('MYSQL_PASSWORD')}@{os.getenv('MYSQL_HOST')}/"
+        f"{os.getenv('MYSQL_DATABASE')}"
+    )
+    engine = create_engine(db_url)
+    user_info = "sr.username"
+    query = f"""
+            SELECT MAX(username) as max_count 
+            FROM Kunden.`daily.user.enabled` WHERE customer_ID = {customer_id} AND services_ID = {service_id} AND timestamp BETWEEN '{start_date}' AND '{end_date}'
+            """
+
+    max_user_count = pd.read_sql_query(query, engine)
+    #mydb.close()
+    return max_user_count.iloc[0]['max_count'] if not max_user_count.empty else 0
+
+def get_active_users(customer_id, service_id, start_date, end_date):
+    """
+    Fetch all active users for the given customer, service, and date range
+    based on the most recent activity and status.
+    """
+    db_url = (
+        f"mysql+mysqlconnector://{os.getenv('MYSQL_USER')}:"
+        f"{os.getenv('MYSQL_PASSWORD')}@{os.getenv('MYSQL_HOST')}/"
+        f"{os.getenv('MYSQL_DATABASE')}"
+    )
+    engine = create_engine(db_url)
+    if service_id == 100:
+        user_info = "sr.primarymail"
+    else:
+        user_info = "sr.username"
+    query = f"""
+        SELECT 
+            {user_info} as username
+        FROM Kunden.`daily.user.enabled` sr
+        WHERE sr.customer_ID = {customer_id}
+        AND sr.services_ID = {service_id}
+        AND sr.timestamp = '{start_date}' 
+        ORDER BY {user_info};
+    """
+    active_users = pd.read_sql_query(query, engine)
+    user_active_count = active_users.shape[0]
+    return active_users, user_active_count
+
+def get_user_not_online(customer_id,service_id,start_date,end_date):
+    db_url = (
+        f"mysql+mysqlconnector://{os.getenv('MYSQL_USER')}:"
+        f"{os.getenv('MYSQL_PASSWORD')}@{os.getenv('MYSQL_HOST')}/"
+        f"{os.getenv('MYSQL_DATABASE')}"
+    )
+    engine = create_engine(db_url)
+    if service_id == 100:
+        user_info = "primarymail"
+    else:
+        user_info = "username"
+    query = f"""
+        SELECT 
+            {user_info} as username
+        FROM Kunden.`daily.user.notonline` sr
+        WHERE sr.customer_ID = {customer_id}
+        AND sr.services_ID = {service_id}
+        AND sr.timestamp BETWEEN '{start_date}' AND '{end_date}'
+        GROUP BY {user_info}
+        ORDER BY {user_info};
+    """
+    not_active_users = pd.read_sql_query(query, engine)
+    user_not_online_count = not_active_users.shape[0]
+    return not_active_users, user_not_online_count    
+
+def get_initial_data():
+    db_url = (
+        f"mysql+mysqlconnector://{os.getenv('MYSQL_USER')}:"
+        f"{os.getenv('MYSQL_PASSWORD')}@{os.getenv('MYSQL_HOST')}/"
+        f"{os.getenv('MYSQL_DATABASE')}"
+    )
+    engine = create_engine(db_url)
+    
     # Fetch unique service IDs and names
     service_id_query = """
         SELECT DISTINCT s.service_ID, s.name
         FROM Kunden.`services.reporting` sr
         JOIN Kunden.services s ON sr.service_ID = s.service_ID
     """
-    service_ids = pd.read_sql_query(service_id_query, mydb)
+    service_ids = pd.read_sql_query(service_id_query, engine)
 
     # Fetch customer information
     customer_query = """
@@ -59,73 +157,111 @@ def get_initial_data():
         JOIN Kunden.`services.reporting`sr ON sr.customer_ID = co.customer_ID
         GROUP BY c.customer_ID, c.customer, co.companyname;
     """
-    customers = pd.read_sql_query(customer_query, mydb)
+    customers = pd.read_sql_query(customer_query, engine)
 
     # Fetch date range
     date_query = """
         SELECT MIN(reportingdate) AS min_date, MAX(reportingdate) AS max_date 
         FROM Kunden.`services.reporting`
     """
-    date_range = pd.read_sql_query(date_query, mydb)
+    date_range = pd.read_sql_query(date_query, engine)
-    mydb.close()
 
     return service_ids, customers, date_range
 
-def generate_month_range(min_date, max_date):
-    months = pd.date_range(start=min_date, end=max_date, freq='MS').strftime("%Y-%m").tolist()
-    return months
-
 def services_reporting():
     st.title("Reporting :mag_right:")
+    
     # Get initial data for widgets
     initial_service_ids, customers, initial_date_range = get_initial_data()
-    # Combine service_ID and name for display
     service_options = initial_service_ids.apply(lambda row: f"{row['service_ID']} - {row['name']}", axis=1)
 
-    # Add selection widget for customer ID
+    # Selection widget for customer ID
+    customer_dict = {f"{row['companyname']} - {row['customer']}": row['customer_ID'] for _, row in customers.iterrows()}
+
+    # Selectbox with only the customer name and company displayed
     selected_customer = st.selectbox(
         'Select Customer',
-        customers.apply(lambda row: f"{row['customer_ID']} - {row['companyname']} - {row['customer']}", axis=1).tolist()
+        list(customer_dict.keys())  # Display only companyname and customer
     )
 
-    # Extract customer_ID from selected option
+    # Get the corresponding customer ID
-    selected_customer_id = int(selected_customer.split(' - ')[0])
+    selected_customer_id = customer_dict[selected_customer]
 
-    # Add selection widget for service ID
+    # Selection widget for service ID
     selected_service = st.selectbox(
         'Select Service',
         service_options.tolist()
     )
-
-    # Extract service_ID from selected option
     selected_service_id = int(selected_service.split(' - ')[0])
 
     # Convert date range to datetime objects
     min_date = initial_date_range['min_date'][0]
     max_date = initial_date_range['max_date'][0]
 
-    # Generate month options for dropdown
+    min_date = (date.today().replace(day=1) - timedelta(days=1)).replace(day=1)
-    month_options = generate_month_range(min_date, max_date)
+    start_date = st.date_input('Start Date', min_date)
+    end_date = st.date_input('End Date', initial_date_range['max_date'][0])
 
-    # Add dropdown for start and end months
-    start_month = st.selectbox('Start Month', month_options)
-    end_month = st.selectbox('End Month', month_options, index=len(month_options) - 1)
-
-    # Convert 'YYYY-MM' to 'YYYY-MM-DD' format for SQL query
-    start_date = datetime.strptime(start_month, '%Y-%m').date().replace(day=1)
-    end_date = datetime.strptime(end_month, '%Y-%m').date().replace(day=1)
-    end_date = (end_date.replace(day=28) + pd.DateOffset(days=4)).replace(day=1) - pd.DateOffset(days=1)  # last day of the month
-
-    # Add a button to apply filters
     if st.button('Apply Filters'):
         # Fetch filtered data from the database
         filtered_data = get_filtered_data(selected_customer_id, selected_service_id, start_date, end_date)
 
-        # Sort the data by month
+        # Fetch max user count in the selected range
-        filtered_data = filtered_data.sort_values('month')
+        max_count = get_active_users(selected_customer_id, selected_service_id, start_date, end_date)
+
+        # Sort the data by day
+        filtered_data = filtered_data.sort_values('day')
 
-        # Create a bar chart with the filtered data
         if not filtered_data.empty:
-            st.bar_chart(filtered_data.set_index('month')['count'])
+            # Highlight the max value in the chart
+            filtered_data['color'] = filtered_data['count'].apply(lambda x: 'red' if x == max_count else 'steelblue')
+
+            # Create an Altair bar chart
+            bars = alt.Chart(filtered_data).mark_bar().encode(
+                x='day:O',
+                y='count:Q',
+                color=alt.Color('color:N', scale=None, legend=None)
+            )
+
+            # Add text labels to bars
+            text = bars.mark_text(
+                align='center',
+                baseline='middle',
+                dy=-10
+            ).encode(
+                text='count:Q'
+            )
+
+            # Combine bars and text into a single chart
+            chart = (bars + text).properties(
+                title='User Enabled'
+            )
+
+            # Fetch the data for users not online, online, and active users
+            not_user_online, max_count_user_not_online = get_user_not_online(selected_customer_id, selected_service_id, start_date, end_date)
+            user_online, user_online_count = get_user_online(selected_customer_id, selected_service_id, start_date, end_date)
+            active_users_data, user_active_count = get_active_users(selected_customer_id, selected_service_id, min_date, end_date)
+            # Create three columns for each DataFrame
+            col1, col2, col3, col4, col5 = st.columns([2,2,2,2,2])
+
+            # Display each DataFrame in a separate column
+            # with col4:
+            #     st.subheader(f"{selected_service.split(' - ')[1]} - User not Online")
+            #     st.metric(label="1",label_visibility="hidden", value=max_count_user_not_online)
+            #     st.data_editor(not_user_online['username'],key="2",use_container_width=True, hide_index=True)
+            
+            with col2:
+                st.subheader(f"{selected_service.split(' - ')[1]} - Enabled Users")
+                st.metric(label="1",label_visibility="hidden", value=user_active_count)
+                st.data_editor(active_users_data, hide_index=True)
+
+            with col3:
+                st.subheader(f"{selected_service.split(' - ')[1]} - User Online")
+                st.metric(label="1",label_visibility="hidden", value=user_online_count)
+                st.data_editor(user_online,key=2,hide_index=True)
+
+
+
+            st.altair_chart(chart, use_container_width=True)
         else:
             st.write("No data available for the selected filters.") 

sites/tickets.py

@@ -2,14 +2,14 @@ import streamlit as st
 import pandas as pd
 import subprocess
 import mysql.connector
-from datetime import datetime
+from datetime import datetime, timedelta
 import os
 from dotenv import load_dotenv
 
 load_dotenv()
 total_time_unit = []
 
-def get_filtered_users(customer_id):
+def get_filtered_users(customer_id, start_date, end_date):
     mydb = mysql.connector.connect(
         host=os.getenv("MYSQL_HOST"),
         user=os.getenv("MYSQL_USER"),
@@ -17,24 +17,28 @@ def get_filtered_users(customer_id):
         database=os.getenv("MYSQL_DATABASE")
     )
 
-    # Prepare the base query
+    # Prepare the base query with date filter
     query = f"""
-        SELECT number,title,createdate,time FROM Kunden.tickets
+        SELECT number, title, createdate, time FROM Kunden.tickets
-        WHERE 1=1
+        WHERE closedate BETWEEN '{start_date}' AND '{end_date}'
         """
     if customer_id:
-        query += f"AND customer_ID = {customer_id} order by createdate"
+        query += f" AND customer_ID = {customer_id}"
+    query += " ORDER BY createdate"
 
     users = pd.read_sql_query(query, mydb)
     mydb.close()
 
+    # Format date columns
     for column in users.select_dtypes(include=['datetime64[ns]', 'datetime64[ns, UTC]']).columns:
         users[column] = users[column].dt.strftime('%d.%m.%Y')
 
+    # Convert 'time' to integer
     users.iloc[:, 3] = users.iloc[:, 3].str.split('.').str[0]
     users['time'] = users['time'].astype(int)
 
-    base_url = "https://ticket.stines.de/#ticket/zoom/number/"  # Replace with your actual base URL
+    # Create hyperlink for ticket number
+    base_url = "https://ticket.stines.de/#ticket/zoom/number/"
     users['Link'] = users['number'].apply(lambda x: f'<a href="{base_url}{x}" target="_blank">{x}</a>')
 
     return users
@@ -65,28 +69,28 @@ def get_initial_data():
     return service_ids, customers
 
 def run_script_and_list_documents():
-    output_area = st.empty()  # Platzhalter für die Ausgabe
+    output_area = st.empty()  # Placeholder for output
-    document_paths = []  # Liste der erstellten Dokumente
+    document_paths = []  # List to store generated document paths
 
-    # Verzeichnis, in dem das Skript ausgeführt werden soll
+    # Directory where the script should be run
     working_directory = "apps/ticket_export/exports"
 
-    # Führe das Skript in dem angegebenen Verzeichnis aus
+    # Run the script in the specified directory
     result = subprocess.run(
         ["python3", "apps/ticket_export/main.py"],
         capture_output=True,
         text=True
     )
 
-    # Suche nach den erstellten Dokumenten im Arbeitsverzeichnis
+    # Search for generated documents in the working directory
-    for filename in os.listdir("apps/ticket_export/exports"):
+    for filename in os.listdir(working_directory):
         if filename.endswith(".docx"):
             full_path = os.path.join(working_directory, filename)
             document_paths.append(full_path)
 
-    # Zeige die Liste der erstellten Dokumente an und biete sie zum Download an
+    # Display the list of generated documents and offer them for download
     if document_paths:
-        st.write("Erstellte Dokumente:")
+        st.write("Generated Documents:")
         for doc_path in document_paths:
             with open(doc_path, "rb") as file:
                 st.download_button(
@@ -96,7 +100,7 @@ def run_script_and_list_documents():
                     mime="application/vnd.openxmlformats-officedocument.wordprocessingml.document"
                 )
     else:
-        st.write("Keine Dokumente gefunden.")
+        st.write("No documents found.")
 
 def ticket_filter():
     st.title("Ticket Filter :mag_right:")
@@ -112,16 +116,22 @@ def ticket_filter():
     # Extract customer_ID from selected option
     selected_customer_id = None if selected_customer == "All" else int(selected_customer.split(' - ')[0])
 
-    if st.button("Rechnung erstellen"):
+    # Add date range picker
-        st.write("Das Skript wird ausgeführt...")
+    start_date = st.date_input("Start Date", datetime.now() - timedelta(days=30))
+    end_date = st.date_input("End Date", datetime.now())
+
+    if st.button("Create Invoice"):
+        st.write("Running the script...")
         run_script_and_list_documents()
 
     # Add a button to apply filters
     if st.button('Apply Filters'):
+        if start_date > end_date:
+            st.error("Error: End date must be greater than or equal to start date.")
+        else:
             # Fetch filtered data from the database
-        filtered_data = get_filtered_users(selected_customer_id)
+            filtered_data = get_filtered_users(selected_customer_id, start_date, end_date)
             if not filtered_data.empty:
-            # st.dataframe(filtered_data,hide_index=True)
                 st.markdown(filtered_data.to_html(escape=False), unsafe_allow_html=True)
                 # Convert DataFrame to CSV
                 csv = filtered_data.drop(columns=['Link']).to_csv(index=False)
@@ -135,6 +145,8 @@ def ticket_filter():
                     file_name=f"filtered_data_{selected_customer}.csv",  # Custom file name
                     mime='text/csv',
                 )
-
             else:
                 st.write("No data available for the selected filters.")
+
+if __name__ == "__main__":
+    ticket_filter()

streamlit.sh

@@ -0,0 +1 @@
+streamlit run app.py --server.port=80 --server.address=0.0.0.0

style.css

@@ -33,3 +33,19 @@
 .st-d7 , .st-d6 ,.st-d5 ,.st-d4 {
     border-color: #fcbb2e;
 }
+
+.st-emotion-cache-1gwvy71{
+    padding: 0;
+    padding-left: 30px;
+}
+.e1f1d6gn4 > .stButton > button{
+    width: 100%;
+    justify-content: left;
+    border: 0;
+}
+[data-testid="baseButton-secondary"]:focus{
+    background-color: #f4f3f366 !important;
+}
+[data-testid="baseButton-secondary"]:active{
+    background-color: #f4f3f366!important;
+}