add dockerfile

dockerfile

@@ -14,8 +14,8 @@ RUN git clone https://gitlab.stines.de/sebastian.serfling/Reports-Visual.git .
 
 RUN pip3 install -r requirements.txt
 
-EXPOSE 8501
+EXPOSE 80
 
 HEALTHCHECK CMD curl --fail http://localhost:8501/_stcore/health
 
-ENTRYPOINT ["streamlit", "run", "pp.py", "--server.port=8501", "--server.address=0.0.0.0"]
+ENTRYPOINT ["streamlit", "run", "app.py", "--server.port=80", "--server.address=0.0.0.0"]

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 createdate 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:")
@@ -112,29 +116,37 @@ 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'):
-        # Fetch filtered data from the database
+        if start_date > end_date:
-        filtered_data = get_filtered_users(selected_customer_id)
+            st.error("Error: End date must be greater than or equal to start 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)
-
-            st.write(f"Total Time Unit: {filtered_data['time'].sum()}")
-
-            # Create a download button with a custom file name
-            st.download_button(
-                label="Download CSV",
-                data=csv,
-                file_name=f"filtered_data_{selected_customer}.csv",  # Custom file name
-                mime='text/csv',
-            )
-
         else:
-            st.write("No data available for the selected filters.")
+            # Fetch filtered data from the database
+            filtered_data = get_filtered_users(selected_customer_id, start_date, end_date)
+            if not filtered_data.empty:
+                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)
+
+                st.write(f"Total Time Unit: {filtered_data['time'].sum()}")
+
+                # Create a download button with a custom file name
+                st.download_button(
+                    label="Download CSV",
+                    data=csv,
+                    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()