Remove PDF export functionality from app.py and update requirements.txt to reflect changes. The `convert_df_to_pdf` function has been deleted, along with related download options for PDF. The requirements.txt file has been updated to remove the reportlab dependency, streamlining the application for CSV exports only.

app.py

@@ -9,10 +9,6 @@ import numpy as np
 import pandas as pd
 import streamlit as st
 import gspread
-from reportlab.lib import colors
-from reportlab.lib.pagesizes import letter, landscape
-from reportlab.platypus import SimpleDocTemplate, Table, TableStyle
-from io import BytesIO
 
 @st.cache_resource
 def init_conn():
@@ -101,52 +97,6 @@ def init_baselines():
 def convert_df_to_csv(df):
     return df.to_csv().encode('utf-8')
 
-def convert_df_to_pdf(df):
-    try:
-        # Create a buffer to receive PDF data
-        buffer = BytesIO()
-        
-        # Create the PDF object using the buffer as its "file"
-        doc = SimpleDocTemplate(buffer, pagesize=landscape(letter))
-        
-        # Convert DataFrame to a list of lists for the table
-        data = [df.columns.tolist()] + df.values.tolist()
-        
-        # Create the table
-        table = Table(data)
-        
-        # Add style to the table
-        style = TableStyle([
-            ('BACKGROUND', (0, 0), (-1, 0), colors.grey),
-            ('TEXTCOLOR', (0, 0), (-1, 0), colors.whitesmoke),
-            ('ALIGN', (0, 0), (-1, -1), 'CENTER'),
-            ('FONTNAME', (0, 0), (-1, 0), 'Helvetica-Bold'),
-            ('FONTSIZE', (0, 0), (-1, 0), 10),
-            ('BOTTOMPADDING', (0, 0), (-1, 0), 12),
-            ('BACKGROUND', (0, 1), (-1, -1), colors.white),
-            ('TEXTCOLOR', (0, 1), (-1, -1), colors.black),
-            ('FONTNAME', (0, 1), (-1, -1), 'Helvetica'),
-            ('FONTSIZE', (0, 1), (-1, -1), 8),
-            ('GRID', (0, 0), (-1, -1), 1, colors.black),
-            ('ALIGN', (0, 0), (-1, -1), 'CENTER'),
-            ('VALIGN', (0, 0), (-1, -1), 'MIDDLE'),
-        ])
-        table.setStyle(style)
-        
-        # Build the PDF
-        elements = [table]
-        doc.build(elements)
-        
-        # Get the value of the BytesIO buffer
-        pdf = buffer.getvalue()
-        buffer.close()
-        
-        return pdf
-        
-    except Exception as e:
-        st.error(f"Error generating PDF: {str(e)}")
-        return None
-
 matchups, overall_ms, team_frame, team_list, team_dict = init_baselines()
 
 col1, col2 = st.columns([1, 9])
@@ -172,19 +122,10 @@ with col2:
         display_parsed = display_table[display_table['Line'].str.contains('|'.join(team_split))]
         display_parsed = display_parsed.set_index('Line')
         st.dataframe(display_parsed.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(percentages_format, precision=2), height=500, use_container_width = True)
-download_var = st.selectbox('What download would you like?', options = ['CSV', 'PDF'], key='download_var')
-if st.button('Download'):
-    if download_var == 'CSV':
-        st.download_button(
-            label="Export Marketshares (CSV)",
+
+st.download_button(
+    label="Export Marketshares (CSV)",
     data=convert_df_to_csv(display_table),
     file_name='Marketshares_export.csv',
     mime='text/csv',
-        )
-    elif download_var == 'PDF':
-        st.download_button(
-            label="Export Marketshares (PDF)",
-            data=convert_df_to_pdf(display_table),
-            file_name='Marketshares_export.pdf',
-            mime='application/pdf',
-        )
+)

requirements.txt

@@ -5,5 +5,4 @@ matplotlib
 pulp
 docker
 plotly
-scipy
-reportlab
+scipy