Michael
966af8ef94
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>
24 lines
1.6 KiB
Markdown
24 lines
1.6 KiB
Markdown
# Column Mapper — corpus
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Acceptance fixtures for `src/core/column_mapper.py`. Each `.csv` under
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`test_data/` is paired with assertions in
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`tests/test_column_mapper_corpus.py`.
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## Use cases (target client profiles)
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| File | Buyer profile | Tested behaviour |
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|------|---------------|------------------|
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| `uc01_crm_import.csv` + `schemas/uc01_crm_target.json` | Sales ops admin importing leads into Salesforce / HubSpot | Schema enforcement: rename via aliases, coerce types, drop extras, add `owner` default. |
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| `uc02_vendor_{a,b,c}.csv` + `schemas/uc02_canonical.json` | Operator unifying vendor exports | Multi-source unification: each vendor uses different headers; auto-inference resolves them all. |
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| `uc03_type_coercion.csv` + `schemas/uc03_types.json` | Analyst quick-fixing a mistyped CSV | Mixed-type coercion with documented per-column failure counts (bad rows survive as NaN). |
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## Edge cases
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| File | Stresses |
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|------|----------|
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| `ec01_duplicate_target.csv` | Mapping two source columns to the same target → InputValidationError. |
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| `ec02_unicode_columns.csv` | Non-ASCII column names (Japanese) survive rename and coerce. |
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| `ec03_whitespace_headers.csv` | Leading/trailing whitespace in headers still fuzzy-matches the schema. |
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| `ec04_no_match.csv` | No source column scores above threshold → empty mapping, fallback unmapped strategy fires. |
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| `ec05_required_missing.csv` | Required target field has no source column → InputValidationError unless `enforce_required=False`. |
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