Create app.py

app.py

@@ -0,0 +1,79 @@
+import streamlit as st
+import pandas as pd
+import matplotlib.pyplot as plt
+
+def process_data(df):
+    # Convert dates and filter relevant period
+    df['Start Date'] = pd.to_datetime(df['Date'].str.split(' to ').str[0], format='%d/%b/%y')
+    df['End Date'] = pd.to_datetime(df['Date'].str.split(' to ').str[1], format='%d/%b/%y')
+    
+    # Categorize into weeks
+    df['Week'] = df['Start Date'].apply(lambda x: 1 if x <= pd.Timestamp('2025-01-05') else 2)
+    
+    return df
+
+def create_utilization_chart(week_data, week_number):
+    fig, ax = plt.subplots()
+    wedges, texts, autotexts = ax.pie(
+        week_data[['Billable', 'Non-Billable', 'Leaves']].values[0],
+        labels=['Billable', 'Non-Billable', 'Leaves'],
+        autopct='%1.1f%%',
+        colors=['#4CAF50', '#FFC107', '#9E9E9E']
+    )
+    plt.setp(autotexts, size=10, weight="bold", color='white')
+    ax.set_title(f'Week {week_number} Utilization', pad=20)
+    return fig
+
+def create_non_billable_breakdown(df):
+    non_billable = df[df['Project Category'] == 'Non-Billable']
+    breakdown = non_billable.groupby('Epic')['Logged'].sum().reset_index()
+    breakdown = breakdown[breakdown['Epic'] != 'No Epic']
+    
+    fig, ax = plt.subplots()
+    breakdown.plot(kind='bar', x='Epic', y='Logged', ax=ax, legend=False)
+    ax.set_title('Non-Billable Time Breakdown')
+    ax.set_ylabel('Hours')
+    plt.xticks(rotation=45)
+    return fig
+
+def main():
+    st.title('QA Team Utilization Dashboard')
+    
+    uploaded_file = st.file_uploader("Upload Tempo Timesheet", type=['xls', 'xlsx'])
+    
+    if uploaded_file:
+        df = pd.read_excel(uploaded_file, sheet_name='Report')
+        df = process_data(df)
+        
+        # Page 4 Visualization
+        st.header("Bi-Weekly Utilization Report")
+        col1, col2 = st.columns(2)
+        
+        with col1:
+            week1 = df[df['Week'] == 1]
+            st.pyplot(create_utilization_chart(week1, 1))
+        
+        with col2:
+            week2 = df[df['Week'] == 2]
+            st.pyplot(create_utilization_chart(week2, 2))
+        
+        # Page 5 Visualization
+        st.header("Non-Billable Time Breakdown")
+        st.pyplot(create_non_billable_breakdown(df))
+        
+        # Page 6 Visualization
+        st.header("Solution Accelerators Progress")
+        accelerators = df[(df['Project Category'] == 'Non-Billable') & 
+                         (df['Epic'] == 'Solution Accelerators')]
+        
+        st.dataframe(
+            accelerators[['Project', 'Logged', 'Key']].rename(columns={
+                'Project': 'Initiative',
+                'Logged': 'Hours',
+                'Key': 'Status'
+            }),
+            hide_index=True
+        )
+
+if __name__ == "__main__":
+    main()