Michael b2c7b94fe9 fix: clear all latent deprecation + resource warnings
Three real issues surfaced when running the suite with strict warnings:

1. src/core/format_standardize.py: ``datetime.utcfromtimestamp`` is
   deprecated in CPython 3.12 and slated for removal. Replace with
   ``datetime.fromtimestamp(ts, tz=timezone.utc)``. Output for the
   date-only format codes we use is byte-identical.

2. src/core/io.py: ``list_sheets`` leaked the openpyxl file handle by
   returning ``xl.sheet_names`` from an unclosed ``pd.ExcelFile``.
   Wrap in a ``with`` block so the FD closes deterministically — also
   prevents the Windows-only "file is locked" repro path.

3. tests/test_corpus.py: ``TestXlsxPollution.workbook`` fixture
   returned the bare ``pd.ExcelFile`` instead of yielding + closing.
   Convert to a yield-and-finally pattern so the class-scoped handle
   isn't leaked across the whole test file.

Also harden pytest.ini's warning policy: escalate
``ResourceWarning`` from ``src`` to an error, alongside the existing
``DeprecationWarning`` rule. Third-party warnings stay filtered — we
can't fix pandas/openpyxl/streamlit churn from here.

All 1916 tests pass under the strict filter; full and split runs
(``pytest``, ``pytest -m 'not gui'``, ``pytest -m gui``) all clean.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-13 16:28:48 +00:00

🌐 Language: English · Español

DataTools

Local CSV / Excel cleaning. CLI + browser GUI, no cloud, no install ceremony. GUI ships with English and Spanish language packs.

Tools

# Tool Status
01 Deduplicator — exact + fuzzy match, 5 normalizers, survivor rules, audit Ready
02 Text Cleaner — whitespace, smart chars, BOM, line endings, case ops Ready
03 Format Standardizer — dates, phones, emails, addresses, names, currencies, booleans Ready
04 Missing Value Handler — disguised-null detection, profile, mean/median/mode/ffill/bfill/interpolate, drop strategies Ready
05 Column Mapper — fuzzy auto-rename, target schema with type coercion, required fields with defaults, drop/reorder Ready
06 Outlier Detector Coming Soon
07 Multi-File Merger Coming Soon
08 Validator & Reporter Coming Soon
09 Pipeline Runner — chain tools with recommended (not forced) order, save/load JSON, automate weekly cleanups Ready

Download (non-technical users)

Pre-built installers — no Python required:

Platform Download First-launch note
macOS DataTools-X.Y.Z-mac.dmg Drag DataTools.app into /Applications, then double-click.
Windows DataTools-X.Y.Z-win-setup.exe Run the installer; launches from Start Menu.
Linux DataTools-X.Y.Z-linux-x86_64.AppImage chmod +x the file, then double-click.

Latest release: see GitHub Releases (or the Gumroad listing). The installers are ~150200 MB; the launcher boots a local server at http://127.0.0.1:8501 and opens your browser. Nothing is sent to the cloud.

Install from source (developers)

pip install -r requirements.txt

Python 3.10+ required.

Run

GUI (recommended):

streamlit run src/gui/app.py

CLI — seven entry points:

python -m src.cli            customers.csv [--apply]   # dedup
python -m src.cli_text_clean messy.csv     [--apply]   # text clean
python -m src.cli_format     intl.csv      [--apply]   # format standardize (auto-streams >100 MB)
python -m src.cli_missing    holes.csv     [--apply]   # missing values
python -m src.cli_column_map vendor.csv    [--apply]   # column mapper
python -m src.cli_pipeline   any_file.csv  [--apply]   # chain tools end-to-end
python -m src.cli_analyze    any_file.csv  [--json]    # scan only

Every CLI runs preview-only by default; add --apply to write output.

Language

The GUI sidebar has a language picker. Packs ship for English and Español (src/i18n/packs/); the choice persists for the session. Adding a language: drop a <code>.json next to en.json mirroring its key tree, then list it in LANGUAGES. See Developer Guide §i18n.

Review & Normalize gate

Every uploaded file passes through a CSV-normalization gate before any tool sees it. The analyzer flags ~15 issue types (whitespace, NBSP / zero-width chars, BOM, encoding, smart punct, dirty headers, null sentinels, mojibake, …) tagged by confidence (high / medium / low) and fix action. The GUI shows each finding with Auto-fix / Skip / Customize, a live before/after preview, and an encoding-override picker. Tool pages refuse to load until the gate passes.

Output

Every run writes:

  • {input}_<tool>.csv — the cleaned data
  • {input}_changes.csv (text cleaner) or {input}_match_groups.csv (dedup) — audit trail
  • logs/<tool>_YYYYMMDD_HHMMSS.log — debug-level run log

Original input file is never modified.

Docs

Dependencies

pandas, openpyxl, rapidfuzz, phonenumbers, typer, loguru, charset-normalizer, streamlit. Optional: ftfy for mojibake repair.

License

Proprietary.

Description
Data tools development
Readme 7.7 MiB
Languages
Python 87.3%
HTML 10%
CSS 1.8%
Shell 0.4%
JavaScript 0.2%
Other 0.2%