docs+code: rename tool labels everywhere
Sweep follow-up to 93e43fc. Display labels now consistent across docs,
landing pages, CLI output, code comments, docstrings, and test prose.
Five parallel surfaces touched:
- docs (EN + ES): README, USER-GUIDE, CLI-REFERENCE, and 11 internal
design/planning docs
- landing pages: index + bookkeeper/revops/shopify-pet
- src: CLI module docstrings, _TOOL_DISPLAY dicts in cli_analyze.py
and gui/components/_legacy.py, core module headers, every tool
page's module docstring
- tests: class/method/module docstrings and section-header comments
- test-cases READMEs
Page slugs (1_Deduplicator etc.), tool_id strings (01_deduplicator
etc.), Python class names (TestDeduplicatorWorkflow, FeatureFlag.*),
URL paths, anchor IDs, CSS classes, and asset filenames were left
intact since they're code identifiers / structural references.
All 2033 tests pass.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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@@ -16,7 +16,7 @@ they need without dragging the entire kitchen-sink module:
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dedup_review.py ← dedup match-group cards + review pipeline
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shared.py ← chrome / file-pickup helpers used by every tool
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A standalone Deduplicator build, for example, can ship without
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A standalone Find Duplicates build, for example, can ship without
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``findings.py`` and ``gate.py`` — those modules import the analyzer /
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gate code that the Lite SKU does not include.
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@@ -847,15 +847,15 @@ def _build_match_groups_csv(
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# Tool id -> friendly display name. Single source of truth for the GUI; the
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# CLI keeps its own copy so each entrypoint stays self-contained.
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TOOL_DISPLAY_NAMES: dict[str, str] = {
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"01_deduplicator": "Deduplicator",
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"02_text_cleaner": "Text Cleaner",
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"03_format_standardizer": "Format Standardizer",
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"04_missing_handler": "Missing Value Handler",
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"05_column_mapper": "Column Mapper",
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"06_outlier_detector": "Outlier Detector",
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"07_multi_file_merger": "Multi-File Merger",
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"08_validator_reporter": "Validator & Reporter",
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"09_pipeline_runner": "Pipeline Runner",
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"01_deduplicator": "Find Duplicates",
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"02_text_cleaner": "Clean Text",
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"03_format_standardizer": "Standardize Formats",
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"04_missing_handler": "Fix Missing Values",
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"05_column_mapper": "Map Columns",
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"06_outlier_detector": "Find Unusual Values",
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"07_multi_file_merger": "Combine Files",
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"08_validator_reporter": "Quality Check",
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"09_pipeline_runner": "Automated Workflows",
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}
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_SEVERITY_ICON: dict[str, str] = {
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@@ -1016,7 +1016,7 @@ def render_hidden_aware_preview(
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) -> None:
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"""Render a DataFrame preview that shows hidden characters in every cell.
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Used for the Text Cleaner's "before" and "after" previews so the user
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Used for the Clean Text tool's "before" and "after" previews so the user
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can actually see the leading/trailing whitespace, NBSP padding,
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zero-width characters, and smart punctuation that the cleaner is going
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to remove (or just removed). A plain ``st.dataframe`` collapses outer
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