Files
datatools-dev/samples/demo/agency_leads_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

75 lines
2.2 KiB
JSON

{
"steps": [
{
"tool": "text_clean",
"options": {},
"enabled": true,
"name": "1. Clean text (whitespace + smart quotes from copy-paste)"
},
{
"tool": "format_standardize",
"options": {
"column_types": {
"First Name": "name",
"Last Name": "name",
"Company": "name",
"Email": "email",
"Phone": "phone"
},
"phone_country_column": "Country",
"phone_format": "E164",
"email_gmail_canonical": true
},
"enabled": true,
"name": "2. E.164 phones (per-row country) · canonical emails · name casing"
},
{
"tool": "missing",
"options": {
"strategy": "none",
"standardize_sentinels": true,
"sentinels": ["N/A", "n/a", "—", "?", "(unknown)", "unknown", "(blank)", "(none)", "TBD", "#N/A"]
},
"enabled": true,
"name": "3. Standardize sentinels across vendor exports"
},
{
"tool": "column_map",
"options": {
"schema": {
"fields": [
{"name": "Lead ID", "dtype": "string", "required": true},
{"name": "First Name", "dtype": "string"},
{"name": "Last Name", "dtype": "string"},
{"name": "Company", "dtype": "string"},
{"name": "Title", "dtype": "string"},
{"name": "Email", "dtype": "string"},
{"name": "Phone", "dtype": "string"},
{"name": "Country", "dtype": "string"},
{"name": "Source", "dtype": "string"},
{"name": "Score", "dtype": "integer"},
{"name": "Last Activity", "dtype": "date"},
{"name": "Tags", "dtype": "string"}
]
},
"auto_infer": true,
"unmapped": "keep",
"coerce_types": true,
"reorder_to_schema": true,
"enforce_required": false
},
"enabled": true,
"name": "4. Coerce types · reorder to canonical schema"
},
{
"tool": "dedup",
"options": {
"survivor_rule": "most_complete",
"merge": true
},
"enabled": true,
"name": "5. Dedup leads across HubSpot / LinkedIn / Manual Scrape (fuzzy + merge)"
}
]
}