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44f3a8a f909f76 44f3a8a 907833c 44f3a8a 73df08c 44f3a8a cc60c65 44f3a8a 73df08c cc60c65 73df08c 907833c 73df08c cc60c65 73df08c 907833c 73df08c cc60c65 73df08c f909f76 73df08c f909f76 73df08c f909f76 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 | import streamlit as st
import pandas as pd
from utils import *
from data import *
from io import BytesIO
def screenPrint():
if "entries_screenprint" not in st.session_state:
st.session_state.entries_screenprint = []
col1, col2 = st.columns(2)
with col1:
brand_name = st.text_input("Brand Name", key="brand_name")
with col2:
cur_date = st.date_input("Date", value="today", key="quote_date")
selected_company = st.selectbox("Select Company", list(screen_data.keys()))
if selected_company:
company_data = screen_data[selected_company]
col1, col2, col3, col4 = st.columns(4)
# selected_type = col1.selectbox("Print Type", list(company_data.keys()))
# selected_size = col2.selectbox("Print Size", list(company_data[selected_type].columns[1:4]))
selected_types = col1.multiselect("Print Type", list(company_data.keys()))
selected_type = selected_types[0] if selected_types else None
selected_sizes = col2.multiselect(
"Print Size",
list(company_data[selected_type].columns[1:4]) if selected_type else []
)
selected_size = selected_sizes[0] if selected_sizes else None
quantity = col3.number_input("Quantity", min_value=1, step=1)
selected_options = col4.multiselect("Options", ["Darks", "Fleece", "90% Poly+", "Sleeves & Legs"])
item_cost = st.number_input("Enter Base Item Cost", min_value=0.0, step=0.01)
margin_percentage = st.number_input("Enter Margin (%)", min_value=1.0, max_value=99.0, step=0.1, value=40.0)
margin = margin_percentage / 100
margin_display = f"{margin_percentage:.2f}%"
# --- Determine Range ---
if selected_type and selected_size and quantity and item_cost:
df = company_data[selected_type]
selected_range = next((row["Qty"] for _, row in df.iterrows() if quantity <= int(row["Qty"].split()[-1])), df.iloc[-1]["Qty"])
row = df[df["Qty"] == selected_range]
if not row.empty and item_cost > 0:
base_price = row[selected_size].values[0]
unit_price_before_margin = base_price + item_cost
for option in selected_options:
if option in row:
unit_price_before_margin += row[option].values[0]
total_cost = unit_price_before_margin * quantity
total_selling_price = total_cost / (1 - margin)
unit_price_after_margin = total_selling_price / quantity
if st.button("➕ Add Entry"):
entry = {
"Brand Name": brand_name,
"Selected Date": cur_date,
"Quantity": quantity,
"Company": selected_company,
"Print Type": selected_type,
"Print Size": selected_size,
"Options": ", ".join(selected_options) if selected_options else "None",
"Item Cost": item_cost,
"Base Price Per Unit": base_price,
"Total Cost": total_cost,
"Net Cost (per unit)": unit_price_before_margin,
"Margin": margin,
"Unit Price After Margin": unit_price_after_margin,
"Total Selling Price": total_selling_price
}
st.session_state.entries_screenprint.append(entry)
# --- Display Pricing Breakdown ---
if st.session_state.entries_screenprint:
#st.subheader("Pricing Breakdown")
st.markdown(f"<h4 style='color: #f1c40f';>{brand_name}</h4>", unsafe_allow_html=True)
cols = st.columns(len(st.session_state.entries_screenprint)) # Create one column per entry
for i, (col, entry) in enumerate(zip(cols, st.session_state.entries_screenprint)):
with col:
st.markdown(f"<h4 style='color: #d31145;'>Entry {i+1}</h4>", unsafe_allow_html=True)
st.markdown(f"<div style='font-size: 16px;'>📌 <strong>Quantity:</strong><br> {entry['Quantity']}</div><br>", unsafe_allow_html=True)
st.markdown(f"<div style='font-size: 16px;'>📏 <strong>Print Size:</strong><br> {entry['Print Size']}</div><br>", unsafe_allow_html=True)
st.markdown(f"<div style='font-size: 16px;'>🪡 <strong>Print Cost (Per Unit):</strong><br> ${entry['Base Price Per Unit']:.2f}</div><br>", unsafe_allow_html=True)
st.markdown(f"<div style='font-size: 16px;'>🪙 <strong>Net Cost (per unit):</strong><br> ${entry['Net Cost (per unit)']:.2f}</div><br>", unsafe_allow_html=True)
st.markdown(f"<div style='font-size: 16px;'>💰 <strong>Total Net Cost:</strong><br> ${entry['Total Cost']:.2f}</div><br>", unsafe_allow_html=True)
st.markdown(f"<div style='font-size: 16px;'>📊 <strong>Margin:</strong><br> {entry['Margin'] * 100:.2f}%</div><br>", unsafe_allow_html=True)
st.markdown(f"<div style='font-size: 16px;'>💸 <strong>Unit Selling Price:</strong><br> ${entry['Unit Price After Margin']:.2f}</div><br>", unsafe_allow_html=True)
st.markdown(f"<div style='font-size: 16px;'>💵 <strong>Total Selling Price:</strong><br> ${entry['Total Selling Price']:.2f}</div><br>", unsafe_allow_html=True)
# Delete Button
if st.button(f"❌ Delete {i+1}", key=f"delete_screenprint_{i}"):
del st.session_state.entries_screenprint[i]
st.rerun()
if st.button("🔄 Reset Entries"):
st.session_state.entries_screenprint = []
st.rerun()
entries = st.session_state.get("entries_screenprint", [])
if entries:
st.markdown("""
<style>
.excel-button {
background-color: #d31145;
color: white;
padding: 12px 24px;
border: none;
border-radius: 8px;
font-size: 14px;
font-weight: bold;
cursor: pointer;
transition: background-color 0.3s ease;
box-shadow: 0 2px 5px rgba(0,0,0,0.2);
}
.excel-button:hover {
background-color: #b80e3a;
}
</style>
""", unsafe_allow_html=True)
df = pd.DataFrame(entries)
df = df[[
'Quantity', 'Print Size', 'Base Price Per Unit', 'Net Cost (per unit)', 'Total Cost',
'Margin', 'Unit Price After Margin', 'Total Selling Price', 'Selected Date'
]]
output = BytesIO()
with pd.ExcelWriter(output, engine='xlsxwriter') as writer:
df.to_excel(writer, index=False, startrow=3, sheet_name='Screenprint Breakdown')
workbook = writer.book
worksheet = writer.sheets['Screenprint Breakdown']
header_format = workbook.add_format({'bold': True, 'font_color': '#d31145', 'font_size': 14})
worksheet.write('A1', brand_name, header_format)
#worksheet.write('A2', cur_date)
processed_data = output.getvalue()
output.seek(0)
st.download_button(
label="📥 Download Results as Excel",
data=output,
file_name='screenprint.xlsx',
mime='application/vnd.openxmlformats-officedocument.spreadsheetml.sheet',
key="excel-download",
help="Download screenprint pricing breakdown as an Excel file"
)
# if entries:
# st.subheader("")
# html = """
# <html>
# <head>
# <script src="https://cdnjs.cloudflare.com/ajax/libs/html2pdf.js/0.10.1/html2pdf.bundle.min.js"></script>
# <style>
# .pdf-button {{
# background-color: #d31145;
# color: white;
# padding: 12px 24px;
# border: none;
# border-radius: 8px;
# font-size: 14px;
# font-weight: bold;
# cursor: pointer;
# transition: background-color 0.3s ease;
# box-shadow: 0 2px 5px rgba(0,0,0,0.2);
# }}
# .pdf-button:hover {{
# background-color: #b80e3a;
# }}
# </style>
# </head>
# <body>
# <div id="pdf-content" style="display: none;">
# <h4 style='color:#d31145;'>{brand_name}</h4>
# <p>{cur_date}</p>
# """.format(brand_name=brand_name, cur_date=cur_date)
# for i, entry in enumerate(entries):
# html += f"""
# <div style='margin-bottom: 20px; border:1px solid #ccc; padding: 10px; border-radius: 8px;'>
# <h4 style='color:#d31145;'>Entry {i+1}</h4>
# <p>✅ Quantity: {entry['Quantity']}</p>
# <p>📏 Print Size: {entry['Print Size']}</p>
# <p>🪡 Print Cost (Per Unit): ${entry['Base Price Per Unit']:.2f}</p>
# <p>💰 Total Net Cost: ${entry['Total Cost']:.2f}</p>
# <p>📊 Margin: {entry['Margin'] * 100:.2f}%</p>
# <p>💸 Unit Selling Price: ${entry['Unit Price After Margin']:.2f}</p>
# <p>💵 Total Selling Price: ${entry['Total Selling Price']:.2f}</p>
# </div>
# """
# html += """
# </div>
# <button class="pdf-button" onclick="downloadPDF()">📄 Download Results as PDF</button>
# <script>
# function downloadPDF() {
# const element = document.getElementById("pdf-content");
# element.style.display = 'block';
# html2pdf().set({
# margin: 0.5,
# filename: 'pricing_breakdown.pdf',
# image: { type: 'jpeg', quality: 0.98 },
# html2canvas: { scale: 2 },
# jsPDF: { unit: 'in', format: 'letter', orientation: 'portrait' }
# }).from(element).save().then(() => {
# element.style.display = 'none';
# });
# }
# </script>
# </body>
# </html>
# """
# st.components.v1.html(html, height=100)
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