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| import streamlit as st | |
| import pandas as pd | |
| import os | |
| import re | |
| from datetime import datetime | |
| from PIL import Image | |
| from fpdf import FPDF | |
| # Load data | |
| def load_data(): | |
| if os.path.exists("data.csv"): | |
| df = pd.read_csv("data.csv") | |
| if 'SerialNo' not in df.columns: | |
| df['SerialNo'] = range(1, len(df)+1) | |
| return df | |
| return pd.DataFrame(columns=["SerialNo", "Name", "Phone", "SizingText", "ImagePath", "StitchingHistory"]) | |
| # Save data | |
| def save_data(df): | |
| df['SerialNo'] = range(1, len(df)+1) | |
| df.to_csv("data.csv", index=False) | |
| # Export customer record as PDF | |
| def export_as_pdf(customer): | |
| pdf = FPDF() | |
| pdf.add_page() | |
| pdf.set_font("Arial", size=12) | |
| pdf.cell(200, 10, txt="Tailor Record", ln=True, align="C") | |
| pdf.ln(10) | |
| pdf.cell(0, 10, f"Serial No: {customer['SerialNo']}", ln=True) | |
| pdf.cell(0, 10, f"Name: {customer['Name']}", ln=True) | |
| pdf.cell(0, 10, f"Phone: {customer['Phone']}", ln=True) | |
| pdf.multi_cell(0, 10, f"Sizing Details: {customer['SizingText']}") | |
| if customer["StitchingHistory"]: | |
| pdf.cell(0, 10, "Stitching History:", ln=True) | |
| for entry in str(customer["StitchingHistory"]).split(" || "): | |
| pdf.multi_cell(0, 10, f"- {entry}") | |
| filename = f"Tailor_Record_{customer['SerialNo']}_{customer['Name']}.pdf" | |
| pdf.output(filename) | |
| return filename | |
| # UI Starts | |
| st.set_page_config("Tailor Record App", layout="wide") | |
| st.title("👔 Tailor Record Management System") | |
| df = load_data() | |
| # Add Record | |
| st.subheader("➕ Add New Customer Record") | |
| with st.form("new_customer"): | |
| col1, col2 = st.columns(2) | |
| with col1: | |
| name = st.text_input("Customer Name*", max_chars=100) | |
| phone = st.text_input("Phone Number*", max_chars=15, key="phone_input") | |
| with col2: | |
| sizing_text = st.text_area("Sizing Details*", height=200) | |
| image = st.file_uploader("Optional: Upload sizing photo", type=["png", "jpg", "jpeg"]) | |
| st.markdown("**Stitching History (Optional):**") | |
| history_entries = [] | |
| with st.expander("➕ Add Stitching History Entries (Optional)"): | |
| num_entries = st.number_input("Number of entries", min_value=0, max_value=10, step=1) | |
| for i in range(num_entries): | |
| date = st.date_input(f"Stitch Date {i+1}", key=f"date_{i}") | |
| desc = st.text_input(f"Description (optional) for Stitch {i+1}", key=f"desc_{i}") | |
| history_entries.append(f"{date} - {desc}") | |
| submitted = st.form_submit_button("💾 Save Record") | |
| if submitted: | |
| if not name or not phone or not phone.isdigit(): | |
| st.error("Customer Name and valid Phone Number are required!") | |
| elif not sizing_text: | |
| st.error("Sizing details are required!") | |
| else: | |
| image_path = "" | |
| if image is not None: | |
| os.makedirs("images", exist_ok=True) | |
| timestamp = datetime.now().strftime('%Y%m%d%H%M%S') | |
| image_path = os.path.join("images", f"{timestamp}_{image.name}") | |
| try: | |
| with open(image_path, "wb") as f: | |
| f.write(image.getbuffer()) | |
| except Exception as e: | |
| st.error(f"Error saving image: {e}") | |
| image_path = "" | |
| new_record = { | |
| "SerialNo": len(df) + 1, | |
| "Name": name.strip(), | |
| "Phone": phone.strip(), | |
| "SizingText": sizing_text.strip(), | |
| "ImagePath": image_path, | |
| "StitchingHistory": " || ".join(history_entries) if history_entries else "" | |
| } | |
| df = pd.concat([df, pd.DataFrame([new_record])], ignore_index=True) | |
| df = df.sort_values(by="Name").reset_index(drop=True) | |
| save_data(df) | |
| st.success("Customer record saved successfully.") | |
| st.rerun() | |