app.py

from __future__ import annotations

import pandas as pd
import streamlit as st

from src.vamp.data_loader import inventory


st.set_page_config(page_title="A-Share Options Research Lab", layout="wide")

st.title("A-Share Options Research Lab")
st.caption("Research UI for iFind option-chain data, VAMP charts, Options Playbook, and MO intraday flow.")

st.markdown(
    """
This Streamlit app is organized as separate research pages:

- **VAMP Research Lab**: build volatility-adjusted market price charts and event-study rankings.
- **Options Playbook**: inspect the original daily options engine reports, metrics, levels, and data quality.
- **MO Flow Radar**: inspect the intraday MO options-flow report, wall timeline, synthetic forward, and output tables.

All pages are research tools only. They do not produce automatic trading orders or direct buy/sell instructions.
"""
)

st.subheader("Local iFind Data Inventory")
items = inventory()
if not items:
    st.warning("No normalized iFind option-chain parquet files found.")
else:
    frame = pd.DataFrame(
        [
            {
                "product_group": item.product_group,
                "date_count": len(item.trade_dates),
                "first_date": item.trade_dates[0] if item.trade_dates else None,
                "last_date": item.trade_dates[-1] if item.trade_dates else None,
                "rows": item.rows,
                "files": item.path_count,
            }
            for item in items
        ]
    )
    st.dataframe(frame, width="stretch", hide_index=True)