"""DataTools — Data Cleaning Mastery Suite.

Launch:
    streamlit run src/gui/app.py
"""

from __future__ import annotations

import sys
from pathlib import Path

import streamlit as st

# Ensure project root is on sys.path so `src.core` imports work
_project_root = Path(__file__).resolve().parent.parent.parent
if str(_project_root) not in sys.path:
    sys.path.insert(0, str(_project_root))


# ---------------------------------------------------------------------------
# Page config
# ---------------------------------------------------------------------------

from src.gui.components import hide_streamlit_chrome

st.set_page_config(
    page_title="DataTools — Data Cleaning Mastery",
    page_icon="🧹",
    layout="wide",
)

hide_streamlit_chrome()


# ---------------------------------------------------------------------------
# Home page
# ---------------------------------------------------------------------------

st.title("🧹 DataTools — Data Cleaning Mastery")
st.caption("A 9-tool suite for cleaning, standardizing, and validating tabular data. Runs 100% locally.")

st.divider()

# ---------------------------------------------------------------------------
# Tool cards
# ---------------------------------------------------------------------------

TOOLS = [
    {
        "icon": "🔍",
        "name": "Deduplicator",
        "description": "Fuzzy matching, normalization, survivor selection, and interactive review.",
        "status": "Ready",
        "page": "1_Deduplicator",
    },
    {
        "icon": "✂️",
        "name": "Text Cleaner",
        "description": "Whitespace trim, multi-space collapse, Unicode normalization, BOM and line-ending handling.",
        "status": "Coming Soon",
        "page": "2_Text_Cleaner",
    },
    {
        "icon": "📐",
        "name": "Format Standardizer",
        "description": "Standardize dates, currencies, names, phone numbers, and addresses.",
        "status": "Coming Soon",
        "page": "3_Format_Standardizer",
    },
    {
        "icon": "🕳️",
        "name": "Missing Value Handler",
        "description": "Detect disguised nulls, missingness analysis, and imputation strategies.",
        "status": "Coming Soon",
        "page": "4_Missing_Values",
    },
    {
        "icon": "🗂️",
        "name": "Column Mapper",
        "description": "Rename columns, enforce a target schema, and coerce types.",
        "status": "Coming Soon",
        "page": "5_Column_Mapper",
    },
    {
        "icon": "📊",
        "name": "Outlier Detector",
        "description": "Z-score, IQR, and MAD detection with domain-rule violations and winsorization.",
        "status": "Coming Soon",
        "page": "6_Outlier_Detector",
    },
    {
        "icon": "📎",
        "name": "Multi-File Merger",
        "description": "Combine multiple CSV/Excel files with schema alignment.",
        "status": "Coming Soon",
        "page": "7_Multi_File_Merger",
    },
    {
        "icon": "✅",
        "name": "Validator & Reporter",
        "description": "Validate against rules and generate PDF/Excel quality reports.",
        "status": "Coming Soon",
        "page": "8_Validator_Reporter",
    },
    {
        "icon": "⚙️",
        "name": "Pipeline Runner",
        "description": "Chain tools in recommended order and pass output between steps.",
        "status": "Coming Soon",
        "page": "9_Pipeline_Runner",
    },
]

# Render tool cards in a 3-column grid
for row_start in range(0, len(TOOLS), 3):
    cols = st.columns(3)
    for i, col in enumerate(cols):
        idx = row_start + i
        if idx >= len(TOOLS):
            break
        tool = TOOLS[idx]
        with col:
            status_color = "green" if tool["status"] == "Ready" else "orange"
            st.markdown(
                f"### {tool['icon']} {tool['name']}\n\n"
                f"{tool['description']}\n\n"
                f":{status_color}[**{tool['status']}**]"
            )


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

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