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44f3a8a f909f76 44f3a8a 907833c 44f3a8a cc60c65 44f3a8a cc60c65 44f3a8a 907833c 44f3a8a cc60c65 44f3a8a 907833c 44f3a8a cc60c65 44f3a8a f909f76 907833c f909f76 44f3a8a f909f76 44f3a8a 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 | import streamlit as st
import pandas as pd
from utils import *
from data import *
from io import BytesIO
def fullColor():
df = pd.DataFrame(full_data)
if "entries" not in st.session_state:
st.session_state.entries = []
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")
company_choice = st.selectbox("Select Company", list(full_data.keys()), key="emb_company")
if company_choice:
df = pd.DataFrame(full_data[company_choice])
col1, col2, col3 = st.columns(3)
with col1:
quantity = st.number_input("Enter Quantity", min_value=1, step=1, key="quantity")
with col2:
stitch_count = st.selectbox(
"Select Stitch Count",
options=list(df.columns[1:]),
key="stitch_count"
)
with col3:
item_price = st.number_input('Item Cost (Fixed)', min_value=0.0, step=0.01, key="item_price")
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}%"
quantity_labels = df["Quantity"].tolist()
selected_range = find_quantity_range(quantity, quantity_labels)
stitch_price = df[df["Quantity"] == selected_range][stitch_count].values[0]
# Calculate Net Value Before Margin Selection
net_value = quantity * (item_price + stitch_price)
unit_net_cost = item_price + stitch_price
net_value = unit_net_cost * quantity
if st.button("➕ Add Entry"):
if quantity and stitch_count and item_price:
total_selling_price = net_value / (1 - margin)
unit_selling_price = total_selling_price / quantity
entry = {
"Brand Name": brand_name,
"Selected Date": cur_date,
"Quantity": quantity,
"Stitch Count": stitch_count,
"Stitch Price": stitch_price,
"Total Net Cost": f"${net_value:,.2f}",
"Net Cost (per unit)": f"${unit_net_cost:.2f}",
"Margin": margin_display,
"Unit Selling Price": f"${unit_selling_price:.2f}",
"Total Selling Price": f"${total_selling_price:.2f}"
}
st.session_state.entries.append(entry)
if st.session_state.entries:
#st.subheader("Full Color Pricing Breakdown")
st.markdown(f"<h4 style='color: #f1c40f';>{brand_name}</h4>", unsafe_allow_html=True)
cols = st.columns(len(st.session_state.entries))
for i, (col, entry) in enumerate(zip(cols, st.session_state.entries)):
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;'>📌 Quantity:<br><b>{entry['Quantity']}</b></div><br>", unsafe_allow_html=True)
st.markdown(f"<div style='font-size: 16px;'>🪡 Stitch Price (per unit):<br><b>{entry['Stitch Price']}</b></div><br>", unsafe_allow_html=True)
st.markdown(f"<div style='font-size: 16px;'>🪙 Net Cost (per unit):<br><b>{entry['Net Cost (per unit)']}</b></div><br>", unsafe_allow_html=True)
st.markdown(f"<div style='font-size: 16px;'>💰 Total Net Cost:<br><b>{entry['Total Net Cost']}</b></div><br>", unsafe_allow_html=True)
st.markdown(f"<div style='font-size: 16px;'>📈 Margin:<br><b>{entry['Margin']}</b></div><br>", unsafe_allow_html=True)
st.markdown(f"<div style='font-size: 16px;'>📊 Unit Price:<br><b>{entry['Unit Selling Price']}</b></div><br>", unsafe_allow_html=True)
st.markdown(f"<div style='font-size: 16px;'>💰 Total Selling Price:<br><b>{entry['Total Selling Price']}</b></div><br>", unsafe_allow_html=True)
if st.button(f"❌ Delete {i+1}", key=f"delete_{i}"):
del st.session_state.entries[i]
st.rerun()
if st.button("🔄 Reset Entries"):
st.session_state.entries = []
st.rerun()
entries = st.session_state.get("entries", [])
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', 'Stitch Price', 'Net Cost (per unit)', 'Total Net Cost',
'Margin', 'Unit Selling Price', '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='Fullcolor Breakdown')
workbook = writer.book
worksheet = writer.sheets['Fullcolor 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='fullcolor.xlsx',
mime='application/vnd.openxmlformats-officedocument.spreadsheetml.sheet',
key="excel-download",
help="Download fullcolor 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; margin-bottom: 12px;'>Entry {i+1}</h4>
# <p>📌 Quantity:{entry['Quantity']}</p>
# <p>🪡Stitch Price (per unit):{entry['Stitch Price']}</p>
# <p>💰 Total Net Cost: {entry['Total Net Cost']}</p>
# <p>📈 Margin:{entry['Margin']}</p>
# <p>📊 Unit Price:{entry['Unit Selling Price']}</p>
# <p>💵 Total Selling Price:{entry['Total Selling Price']}</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: 'embroidery_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=130)
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