"""DataTools Pipeline Runner — stub page."""

from __future__ import annotations

import sys
from pathlib import Path

import streamlit as st

_project_root = Path(__file__).resolve().parent.parent.parent.parent
if str(_project_root) not in sys.path:
    sys.path.insert(0, str(_project_root))

from src.gui.components import hide_streamlit_chrome, require_normalization_gate

hide_streamlit_chrome()
require_normalization_gate()

# ---------------------------------------------------------------------------
# Header
# ---------------------------------------------------------------------------

st.title("⚙️ Pipeline Runner")
st.caption("Chain tools in sequence and pass output between steps automatically.")

st.info("This tool is under development.")

# ---------------------------------------------------------------------------
# What this tool will do
# ---------------------------------------------------------------------------

st.markdown("""
**Features:**
- Select tools to run in sequence
- Recommended order: Text Cleaner → Format Standardizer → Missing Values → Deduplicator → Validator
- Each step's output feeds into the next step's input
- Per-step configuration overrides
- Progress tracking across all steps
- Final combined report
""")

st.divider()

# ---------------------------------------------------------------------------
# File upload (functional)
# ---------------------------------------------------------------------------

uploaded = st.file_uploader(
    "Upload CSV or Excel file",
    type=["csv", "tsv", "xlsx", "xls"],
    help="Upload a file to preview. Processing is not yet available.",
    key="pipeline_file_upload",
)

if uploaded is not None:
    import pandas as pd
    try:
        if uploaded.name.endswith((".xlsx", ".xls")):
            df = pd.read_excel(uploaded)
        else:
            df = pd.read_csv(uploaded)
        st.subheader(f"Preview: {uploaded.name}")
        st.caption(f"{len(df)} rows, {len(df.columns)} columns")
        st.dataframe(df.head(10), use_container_width=True)
    except Exception as e:
        st.error(f"Failed to read file: {e}")

# ---------------------------------------------------------------------------
# Pipeline steps (checklist)
# ---------------------------------------------------------------------------

st.subheader("Pipeline Steps")
st.caption("Select tools to include in the pipeline (recommended order):")

st.checkbox("1. Text Cleaner", value=True, disabled=True)
st.checkbox("2. Format Standardizer", value=True, disabled=True)
st.checkbox("3. Missing Value Handler", value=True, disabled=True)
st.checkbox("4. Column Mapper", value=False, disabled=True)
st.checkbox("5. Outlier Detector", value=False, disabled=True)
st.checkbox("6. Deduplicator", value=True, disabled=True)
st.checkbox("7. Multi-File Merger", value=False, disabled=True)
st.checkbox("8. Validator & Reporter", value=True, disabled=True)

st.subheader("Pipeline Configuration")

st.selectbox("On error", ["Stop pipeline", "Skip step and continue", "Prompt for decision"], disabled=True)
st.checkbox("Generate combined report at end", value=True, disabled=True)

st.divider()
st.button("Run Pipeline", type="primary", use_container_width=True, disabled=True)

# ---------------------------------------------------------------------------
# Footer
# ---------------------------------------------------------------------------

st.divider()
st.caption(
    "Runs locally. Your data never leaves this computer. "
    "| DataTools v3.0"
)