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