# import streamlit as st
# import plotly.express as px
# import plotly.graph_objects as go
# from numpy import typing as npt
# import time
# from typing import Any

# _ = px, Any, go, npt, time, np
# st.set_page_config(layout="wide", page_title="📊 Interactive Figure Viewer", page_icon="📈")

# # Initialize session state
# if 'current_index' not in st.session_state:
#     st.session_state.current_index = 0
# if 'last_time' not in st.session_state:
#     st.session_state.last_time = time.time()

# data_path = "get_figure_placeholder.pkl"  # Placeholder for the data path

# # get_figure_placeholder
# def get_figure(data: Any) -> go.Figure:
#     return px.line(data)
# # get_figure_placeholder

# total_figures = len(data)

# def change_index(new_index: int) -> None:
#     """Update the current index with bounds checking"""
#     if 0 <= new_index < total_figures:
#         st.session_state.current_index = new_index
#         st.session_state.last_time = time.time()

# def next_figure():
#     """Navigate to the next figure"""
#     change_index(st.session_state.current_index + 1)

# def prev_figure():
#     """Navigate to the previous figure"""
#     change_index(st.session_state.current_index - 1)

# def go_to_index():
#     """Navigate to a specific index"""
#     try:
#         idx = int(st.session_state.input_index)
#         change_index(idx)
#     except ValueError:
#         st.error("""
# ❌ Invalid Input!
# Please enter a valid integer index. 🧮
#         """)

# st.title("""
# 📊 Interactive Figure Viewer
# =============================
# """)

# # Top info bar with metadata
# col_info1, col_info2, col_info3, col_info4 = st.columns([1, 1, 1, 1])
# with col_info1:
#     st.info(f"""
# 📂 **Dataset Loaded:**
# `{data_path.split('/')[-1]}`
#     """)
# with col_info2:
#     st.info(f"""
# 📈 **Total Figures:**
# {total_figures}
#     """)
# with col_info3:
#     render_time = time.time() - st.session_state.last_time
#     st.info(f"""
# ⏱️ **Render Time:**
# {render_time:.3f} seconds
#     """)
# with col_info4:
#     try:
#         data_shape = str(data[st.session_state.current_index].shape)
#         st.info(f"""
# 📐 **Current Data Shape:**
# {data_shape}
#         """)
#     except Exception:
#         st.info("""
# 📐 **Current Data Shape:**
# N/A
#         """)

# # Navigation controls
# col1, col2, col3, col4 = st.columns([1, 1, 2, 1])
# with col1:
#     st.button("⏮ **Previous**", on_click=prev_figure,
#               disabled=(st.session_state.current_index <= 0),
#               use_container_width=True)

# with col2:
#     st.button("**Next** ⏭", on_click=next_figure,
#               disabled=(st.session_state.current_index >= total_figures - 1),
#               use_container_width=True)

# with col3:
#     st.text_input("""
# 🔢 **Go to Index**
# """, key="input_index",
#                   placeholder=f"Enter index (0-{total_figures-1})",
#                   on_change=go_to_index)

# with col4:
#     if st.button("🎲 **Random**", use_container_width=True):
#         import random
#         change_index(random.randint(0, total_figures - 1))

# # Progress indicators
# st.progress(st.session_state.current_index / (total_figures - 1))
# st.caption(f"""
# 📊 **Figure {st.session_state.current_index + 1} of {total_figures}**
# (Index: {st.session_state.current_index})
# """)

# # Display the current figure
# with st.spinner("""
# 🔄 **Generating Figure...**
# Please wait while the figure is being rendered. 🖼️
# """):
#     try:
#         current_data = data[st.session_state.current_index]
#         fig = get_figure(current_data)
#         st.plotly_chart(fig, use_container_width=True, theme="streamlit")
#     except Exception as e:
#         st.error(f"""
# ❌ **Error Displaying Figure:**
# {str(e)}
#         """)

# # Footer
# st.divider()
# st.caption("""
# Developed with ❤️ using **Streamlit** and **Plotly**.
# """)
