import streamlit as st
import pandas as pd
import plotly.graph_objects as go

# Function to process and plot CSV data
def process_and_plot_cumulative_csv(df):
    """Creates an interactive plot for each book in the dataset."""

    # Extract book names and cumulative chapter values
    book_names = df.iloc[:, 0]  # First column contains book names
    cumulative_books = df.iloc[:, 2:].apply(pd.to_numeric, errors='coerce').values  # Convert chapter values to numeric

    # Display each book separately
    for i, book in enumerate(cumulative_books):
        book = book[~pd.isna(book)]  # Remove NaN values

        # Create an interactive Plotly figure
        fig = go.Figure()

        fig.add_trace(go.Scatter(
            x=list(range(1, len(book) + 1)),
            y=book,
            mode='lines+markers',
            name=book_names[i],
            marker=dict(size=6),
            hoverinfo="x+y+name"
        ))

        # Set layout for the plot
        fig.update_layout(
            title=f'{book_names[i]}',
            xaxis_title="Chapter Index",
            yaxis_title="Cumulative Change",
            legend_title="Book",
            hovermode="x unified",
            template="plotly_white"
        )

        # Display the interactive plot in Streamlit
        st.plotly_chart(fig)

# Streamlit UI
st.title("📖 Book Analysis: Individual Cumulative Chapter Changes (Interactive)")

# File uploader
uploaded_file = st.file_uploader("📂 Upload CSV File", type=["csv"])

if uploaded_file is not None:
    df = pd.read_csv(uploaded_file)  # Read uploaded file
    st.write("### 📊 Data Preview:")
    st.dataframe(df)  # Show uploaded data

    st.write("### 📈 Interactive Plots for Each Book:")
    process_and_plot_cumulative_csv(df)  # Generate interactive plots