Michael
35ea21ad33
Add shared hide_streamlit_chrome() helper that removes header bar, hamburger menu, footer, and deploy button via CSS injection. Called on every page. Add .streamlit/config.toml with minimal toolbar mode. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
98 lines
3.2 KiB
Python
98 lines
3.2 KiB
Python
"""DataTools Column Mapper — stub page."""
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from __future__ import annotations
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import sys
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from pathlib import Path
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import streamlit as st
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_project_root = Path(__file__).resolve().parent.parent.parent.parent
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if str(_project_root) not in sys.path:
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sys.path.insert(0, str(_project_root))
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from src.gui.components import hide_streamlit_chrome
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hide_streamlit_chrome()
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# ---------------------------------------------------------------------------
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# Header
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# ---------------------------------------------------------------------------
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st.title("🗂️ Column Mapper")
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st.caption("Rename columns, enforce a target schema, and coerce types.")
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st.info("This tool is under development.")
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# ---------------------------------------------------------------------------
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# What this tool will do
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# ---------------------------------------------------------------------------
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st.markdown("""
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**Features:**
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- Rename columns via interactive mapping table
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- Load a target schema (JSON/CSV) to auto-map columns
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- Fuzzy column name matching for automatic suggestions
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- Type coercion (string → int, string → date, etc.)
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- Drop unmapped columns or keep as-is
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- Reorder columns to match target schema
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""")
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st.divider()
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# ---------------------------------------------------------------------------
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# File upload (functional)
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# ---------------------------------------------------------------------------
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uploaded = st.file_uploader(
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"Upload CSV or Excel file",
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type=["csv", "tsv", "xlsx", "xls"],
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help="Upload a file to preview. Processing is not yet available.",
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key="colmap_file_upload",
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)
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if uploaded is not None:
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import pandas as pd
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try:
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if uploaded.name.endswith((".xlsx", ".xls")):
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df = pd.read_excel(uploaded)
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else:
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df = pd.read_csv(uploaded)
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st.subheader(f"Preview: {uploaded.name}")
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st.caption(f"{len(df)} rows, {len(df.columns)} columns")
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st.dataframe(df.head(10), use_container_width=True)
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st.subheader("Column Mapping")
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st.caption("Map source columns to target names. (Interactive mapping coming soon.)")
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mapping_data = pd.DataFrame({
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"Source Column": df.columns.tolist(),
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"Target Column": df.columns.tolist(),
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"Type": ["auto"] * len(df.columns),
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})
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st.dataframe(mapping_data, use_container_width=True, hide_index=True)
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except Exception as e:
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st.error(f"Failed to read file: {e}")
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# ---------------------------------------------------------------------------
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# Placeholder options
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# ---------------------------------------------------------------------------
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st.subheader("Schema Options")
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st.file_uploader("Load target schema (JSON)", type=["json"], disabled=True, key="colmap_schema")
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st.checkbox("Drop unmapped columns", value=False, disabled=True)
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st.checkbox("Reorder to match schema", value=True, disabled=True)
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st.divider()
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st.button("Apply Column Mapping", type="primary", use_container_width=True, disabled=True)
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# ---------------------------------------------------------------------------
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# Footer
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# ---------------------------------------------------------------------------
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st.divider()
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st.caption(
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"Runs locally. Your data never leaves this computer. "
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"| DataTools v3.0"
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)
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