Files
datatools-dev/samples/demo/bookkeeper_bank_pipeline.json
Michael 966af8ef94 feat: 3 new tools, format streaming, distribution-ready demo + landing pages
Tools shipped this batch (4 → 6 of 9 Ready):
  04 Missing Value Handler   src/core/missing.py + cli_missing.py + GUI
  05 Column Mapper           src/core/column_mapper.py + cli_column_map.py + GUI
  09 Pipeline Runner         src/core/pipeline.py + cli_pipeline.py + GUI
                             with soft tool-dependency graph (recommended,
                             not enforced) and JSON save/load for repeatable
                             weekly cleanups.

Format Standardizer reworked for 1 GB international files:
  • Vectorised dispatch + LRU cache over phone/date/currency/boolean/email
  • Per-row country / address columns drive parsing
  • Audit cap (default 10 k rows, ~50 MB RAM)
  • standardize_file(): chunked streaming entry point (~165 k rows/sec)
  • currency_decimal="auto" for EU comma-decimal locales
  • R$ / kr / zł multi-char currency prefixes
  • cli_format.py with auto-stream above 100 MB inputs

Encoding detection arbiter + language-aware probe:
  Closes the last 4 xfails (cp1250 / mac_iceland / shift_jis_2004 / lying-BOM)
  via tied-confidence arbiter + Cyrillic / EE-Latin coverage probes.

Distribution-readiness assets:
  • streamlit_app.py — Streamlit Community Cloud entry shim
  • src/gui/app_demo.py — single-page demo, ?p=<persona> routing,
    100-row cap + watermark, free-vs-paid boundary enforced at surface
  • samples/demo/ — 3 niche datasets + pre-tuned pipeline JSONs
  • landing/ — 4 static HTML pages (apex chooser + 3 niche),
    shared CSS, deploy.py URL-substitution script,
    auto-generated robots.txt + sitemap.xml + 404.html + favicon
  • docs/PLAN.md, DEMO-PLAN.md, DEPLOYMENT.md, POST-LAUNCH.md, NEXT-STEPS.md
    — full strategy + measurement + deployment + master checklist

Test counts:
  before: 1,520 passed · 4 skipped · 17 xfailed
  after:  1,729 passed · 0 skipped · 0  xfailed

Tier-1 corpora added:
  • missing-corpus           3 use cases + 16 edge cases
  • column-mapper-corpus     3 use cases + 5 edge cases
  • format-cleaner intl      20-row 13-country stress fixture

Engine hardening flushed out by the corpora:
  • interpolate guards against object-dtype columns
  • mean/median skip all-NaN columns (silences numpy warning)
  • fillna runs under future.no_silent_downcasting (silences pandas warning)
  • mojibake test no longer skips when ftfy installed (monkeypatch path)
  • drop-row threshold semantics: strict-greater (consistent across rows / cols)
  • currency_decimal validator allow-set updated for "auto"

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-01 22:31:26 +00:00

57 lines
1.5 KiB
JSON

{
"steps": [
{
"tool": "text_clean",
"options": {},
"enabled": true,
"name": "1. Clean text (header whitespace, smart quotes, em-dash)"
},
{
"tool": "format_standardize",
"options": {
"column_types": {
"Date": "date",
"Amount": "currency",
"Balance": "currency",
"Vendor": "name"
},
"currency_decimal": "auto",
"currency_preserve_code": false,
"currency_decimals": 2,
"date_output_format": "%Y-%m-%d"
},
"enabled": true,
"name": "2. ISO dates · numeric amounts (parens-negative) · vendor casing"
},
{
"tool": "missing",
"options": {
"strategy": "none",
"standardize_sentinels": true,
"sentinels": ["N/A", "n/a", "—", "-", "?", "(blank)", "(none)", "unknown", "#N/A"]
},
"enabled": true,
"name": "3. Standardize disguised nulls (— / N/A / (blank))"
},
{
"tool": "dedup",
"options": {
"survivor_rule": "most_complete",
"merge": false,
"date_column": "Date",
"strategies": [
{
"columns": [
{"column": "Date", "algorithm": "exact", "threshold": 100},
{"column": "Amount", "algorithm": "exact", "threshold": 100},
{"column": "Vendor", "algorithm": "jaro_winkler", "threshold": 80}
]
}
]
},
"enabled": true,
"name": "4. Dedup transactions on Date+Amount+fuzzy Vendor"
}
]
}