Änderung: parquet_store.py

app/pages/costobjects.py

@@ -1,11 +1,13 @@
 import streamlit as st
 import pandas as pd
-from data.scriptloader import get_sql
+#from data.scriptloader import get_sql
 from data.db import load_data
 from auth_runtime import require_login
-from ui.sidebar import build_sidebar, hide_sidebar_if_logged_out
-from auth import get_fullname_for_user
+#from ui.sidebar import build_sidebar, hide_sidebar_if_logged_out
+#from auth import get_fullname_for_user
 import numpy as np
+from tools.excel_export import df_to_excel_bytes
+from tools.help_text import get_help
 
 
 st.set_page_config(page_title="Co-App Home", page_icon="🏠", layout="wide")
@@ -13,7 +15,17 @@ st.set_page_config(page_title="Co-App Home", page_icon="🏠", layout="wide")
 authenticator = require_login()
 st.session_state["authenticator"] = authenticator
 
+st.markdown("""
+<style>
+.block-container {
+    padding-top: 0.2rem;
+}
+</style>
+""", unsafe_allow_html=True)
 
+description = get_help("costobjects")
+with st.expander(label="ℹ️ Hilfe / Hinweise", expanded=False):    # ❓
+    st.markdown(description)
 
 @st.cache_data
 def cache_data() -> pd.DataFrame:
@@ -38,19 +50,32 @@ def sidebar_filters(df) -> dict:
     This function should contain UI concerns only (widgets, layout),
     and not data filtering logic, to keep the code maintainable.
     """
+    
+    st.markdown("""
+        <style>
+        section[data-testid="stSidebar"] .block-container {
+            padding-top: 0.5rem;
+            padding-bottom: 0.5rem;
+        }
+        section[data-testid="stSidebar"] div[data-testid="stVerticalBlock"] > div {
+            gap: 0.2rem;
+        }
+        </style>
+    """, unsafe_allow_html=True)
+    
     st.sidebar.header("Filter")
     
     if st.sidebar.button("Refresh (Global)"):
         cache_data.clear()
         st.rerun()
     
-    year = st.sidebar.selectbox(label="Jahr", options=(2025, 2026), index=1)
     filter_text = st.sidebar.text_input(label="Textsuche", placeholder="Suche Objekt, Text, Verantwortlicher")
     col_s1, col_s2 = st.sidebar.columns(2)
     with col_s1:
-        typ = st.sidebar.selectbox(label="Typ", options=sorted(df["typ"].dropna().unique()), index=1)
+        year = st.selectbox(label="Jahr", options=(2025, 2026), index=1)
     with col_s2:
-        obj = st.sidebar.multiselect("obj", sorted(df["obj"].dropna().unique()))
+        typ = st.selectbox(label="Typ", options=sorted(df["typ"].dropna().unique()), index=1)
+    obj = st.sidebar.multiselect("obj", sorted(df["obj"].dropna().unique()))
     zgrp1 = st.sidebar.multiselect("ZGrp1", sorted(df["zgrp1"].dropna().unique()))
     zgrp2 = st.sidebar.multiselect("ZGrp2", sorted(df["zgrp2"].dropna().unique()))
     zgrp3 = st.sidebar.multiselect("ZGrp3", sorted(df["zgrp3"].dropna().unique()))
@@ -100,9 +125,14 @@ def render_table(df):
 
     Keep this function presentation-only: it should not modify data.
     """
+    st.markdown("### Übersicht Kostenobjekte")
     st.dataframe(df, hide_index=True, width="stretch", height="stretch")
 
 
+def download_data(df):
+    df.to_excel(path)
+
+
 def page():
     """
     Page entry point: orchestrates data loading, UI, filtering, and rendering.
@@ -129,10 +159,9 @@ def page():
     # -----------------------------
     # Presentation
     # -----------------------------
-
-    df = df.sort_values(by="obj", key=lambda s: pd.to_numeric(s, errors="coerce"))
     df_clean = df[df.columns[:-1]] # letzte Spalten entfernen (sysdate)
     df_display = df_clean.loc[mask]
+    df_display = df_display.sort_values(by="obj", key=lambda s: pd.to_numeric(s, errors="coerce"))
     render_table(df_display)
     
     col1, col2 = st.columns(2)
@@ -141,11 +170,15 @@ def page():
     
     with col1:
         st.text(f"Datenstand: {data_as_of}")
-        st.text("Datenquelle: Oracle (PENTA)")
     with col2:
         st.markdown(f"<div style='text-align: right;'>Anzahl Zeilen: {row_count}</div>", unsafe_allow_html=True)
     
-
+    st.download_button(
+        "📊 Excel-Datei herunterladen",
+        data=df_to_excel_bytes(df_display),
+        file_name="kostenobjekte",
+        mime="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
+    )
 
 
 

app/tools/excel_export.py

@@ -0,0 +1,16 @@
+import pandas as pd
+import io
+
+def df_to_excel_bytes(df):
+
+    """
+    Convert a DataFrame to an in-memory XLSX file.
+
+    Returns a BytesIO object suitable for st.download_button(data=...).
+    """
+
+    buffer = io.BytesIO()
+    with pd.ExcelWriter(buffer, engine="openpyxl") as writer:
+        df.to_excel(writer, index=False, sheet_name="Daten")
+    buffer.seek(0)
+    return buffer

app/tools/help_text.py

@@ -0,0 +1,5 @@
+from app_db.app_db import get_value
+
+def get_help(dashboard :str):
+    helptext = get_value(f"select dash_description from dashboards where dash_name = '{dashboard}.py'")
+    return helptext

config/settings.py

@@ -0,0 +1,11 @@
+from pathlib import Path
+
+BASE_DIR = Path(__file__).resolve().parents[1]
+
+STORAGE_DIR = BASE_DIR / "storage" 
+DB_DIR = STORAGE_DIR / "app_db" 
+DB_PATH = DB_DIR / "app.db"
+DWH_DIR = STORAGE_DIR / "dwh" 
+
+
+print(BASE_DIR, DB_DIR)

migrations/20260226_095800_add_col_dashname_dashboards.sql

@@ -0,0 +1,8 @@
+begin;
+
+alter table dashboards
+add column dash_name text not null default "";
+
+INSERT INTO schema_version (version) VALUES ('20260226_095800_add_col_dashname_dashboards');
+
+COMMIT;