ColumnBridge: local embeddings that stop before renaming the wrong CSV column

Описание и применение

ColumnBridge использует локальные эмбеддинги для предложения сопоставления колонок CSV, требует ручного подтверждения перед переименованием, предотвращая ошибки данных.

Задача

CSV imports can syntactically match but place data in incorrect columns, e.g., billing address vs shipping address both close to address, leading to business errors.

Результат

ColumnBridge successfully identified correct column mappings for synthetic CSVs, flagged collisions, and required explicit approval before renaming. It ran locally in 8.58 s for first download and 0.35 s for cached offline runs, using ~198 MiB RSS.

Рабочий процесс

• 1. Run ColumnBridge to generate a mapping report and review template with approved:false.
• 2. Inspect suggested mappings, review collisions and margins.
• 3. Approve or modify the plan in the review template.
• 4. Execute the apply command to generate a new CSV with approved mappings.
• 5. Verify that row values remain unchanged and no duplicate output names were created.

Доказательства

ColumnBridge is a small local tool for people who repeatedly import contact lists or customer exports. It uses an open-weight sentence-embedding model to propose column mappings, then stops for a review before it renames anything.

Источник

The first operation creates a report plus a review template with approved: false. Applying a reviewed plan is a separate command.

Источник

One recorded first run, including the initial model download, took 8.58 seconds and used about 198 MiB maximum RSS on this Mac.

Источник