Michael
a1824b8dc4
User feedback: the standard file_uploader didn't visually match
the Home page, and there was no obvious way to clear out
uploaded files between scans (have to refresh the browser tab).
**Persistent stash + add-only sync.** Files captured into
``st.session_state["pdf_uploads"]`` (dict name → {bytes, size})
via an ``on_change`` callback on the file_uploader widget. The
callback is **add-only** — never removes files from the stash
based on widget state. Removal is owned by the custom X buttons
+ widget-counter bump (see below). This guarantees a hidden
native X click can't silently drop files behind the user's
back.
**Hidden native file list.** A small CSS block suppresses the
file_uploader's built-in file rows + their delete buttons
(``stFileUploaderFile`` + ``stFileUploaderDeleteBtn``), so the
custom list below is the single source of truth on screen.
**Custom file list (Home pattern).** Below the dropzone, every
uploaded file gets a row: ``✕ | 📄 filename | size``. Top of
section shows ``N files · 12.3 MB total``. Counts and sizes
update in real time as the user adds or removes files. The X
button per row calls ``log_event("upload", "PDF removed: …")``,
removes the entry from the stash, and bumps the widget counter
to clear the widget too.
**Clear-all button.** Sits next to the Scan button. Wipes the
stash, bumps the widget counter, drops any cached scan results
(``K_ROWS``, ``K_WARNINGS``, ``K_SOURCE_COUNT``). Audited via
``log_event("upload", "PDF list cleared", count=N)``.
**Widget reset via counter bump.** Streamlit disallows
programmatic mutation of widget session-state entries; the
standard workaround is to rotate the widget's ``key``. Page
maintains ``K_UPLOAD_COUNTER`` which gets incremented on
remove / clear-all, producing a fresh ``pdf_upload_v{N}`` key
and a freshly-instantiated empty widget. The stash retains any
unaffected files; on next upload, the add-only sync picks up
the new ones without re-adding the removed ones.
**Scan rewired to read the stash.** Instead of iterating the
widget's UploadedFile objects (which the previous code did and
which broke when the widget unmounted on remove), the scan
loop iterates ``pdf_uploads.items()`` and uses the cached
``bytes``. Diagnostic expander does the same — re-reads from
the stash, removing the need for a separate ``K_DIAGNOSTIC``
cache (deleted).
**``_format_size`` helper** ports the byte-formatting logic
from ``_home.py``'s pattern (KB / MB / GB rollover).
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
🌐 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 | Find Duplicates — exact + fuzzy match, 5 normalizers, survivor rules, audit | Ready |
| 02 | Clean Text — whitespace, smart chars, BOM, line endings, case ops | Ready |
| 03 | Standardize Formats — dates, phones, emails, addresses, names, currencies, booleans | Ready |
| 04 | Fix Missing Values — disguised-null detection, profile, mean/median/mode/ffill/bfill/interpolate, drop strategies | Ready |
| 05 | Map Columns — fuzzy auto-rename, target schema with type coercion, required fields with defaults, drop/reorder | Ready |
| 06 | Find Unusual Values | Coming Soon |
| 07 | Combine Files | Coming Soon |
| 08 | Quality Check | Coming Soon |
| 09 | Automated Workflows — 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 ~150–200 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 traillogs/<tool>_YYYYMMDD_HHMMSS.log— debug-level run log
Original input file is never modified.
Docs
- User Guide — install, GUI workflow, gate
- CLI Reference — every flag with recipes
- Requirements — file sizes, encodings, detectors, perf targets
- Technical — architecture, gate internals, fix registry
- Developer Guide — adding fixes / detectors / standardizers
Dependencies
pandas, openpyxl, rapidfuzz, phonenumbers, typer, loguru, charset-normalizer, streamlit. Optional: ftfy for mojibake repair.
License
Proprietary.