import streamlit as st
from docx import Document
import pandas as pd

# Function to parse the Word file
def parse_word_file(file):
    document = Document(file)
    data = []

    for paragraph in document.paragraphs:
        if "Name:" in paragraph.text and "Status:" in paragraph.text:
            parts = paragraph.text.split(",")
            name_part = next((part for part in parts if "Name:" in part), None)
            status_part = next((part for part in parts if "Status:" in part), None)
            
            if name_part and status_part:
                name = name_part.split(":")[1].strip()
                status = status_part.split(":")[1].strip()
                data.append({"Name": name, "Status": status})
    
    return data

# Streamlit app
st.title("Display File Data with Filtering")
st.write("Upload a Word file containing `Name` and `Status` data to display it in separate columns.")

# File uploader
uploaded_file = st.file_uploader("Upload a Word file (.docx)", type="docx")
if uploaded_file:
    try:
        # Parse the file
        data = parse_word_file(uploaded_file)

        if data:
            # Convert to DataFrame for display
            df = pd.DataFrame(data)

            # Display the data
            st.write("### Full Data")
            st.dataframe(df)

            # Add checkboxes for filtering
            st.write("### Filter Data by Name")
            selected_names = st.multiselect("Select names to display", options=df["Name"].unique())

            # Filter the DataFrame based on selected names
            if selected_names:
                filtered_df = df[df["Name"].isin(selected_names)]
                st.write("### Filtered Data")
                st.dataframe(filtered_df)
            else:
                st.write("No names selected.")
        else:
            st.error("No valid Name-Status data found in the file.")
    except Exception as e:
        st.error(f"An error occurred: {e}")