FUNAMP · FREE CHECKLIST

Recurring CSV import preflight: check the file before the automation runs.

When the same vendor, export, or internal system sends CSV files repeatedly, the useful question is not whether the file looks familiar. It is whether the new delivery still matches the structure your downstream workflow expects.

01 · FREEZE THE EXPECTED STRUCTURE

Start from one known-good delivery

Confirm the delimiter and header row before treating a file as the reference.
Record the accepted column names and order from a delivery you have already reviewed.
Reject blank or duplicate headers and rows with the wrong number of fields.
Keep valid quoted multiline fields together as one CSV record instead of treating embedded line breaks as new rows.

02 · CHECK EVERY NEW DELIVERY

Use differences as a review trigger, not an automatic new baseline

Before an import, reconciliation, report, or scheduled job runs, compare the incoming structure with the accepted baseline. Added, missing, reordered, blank, or duplicated columns and row-width mismatches should stop the workflow long enough for a human to confirm whether the producer changed the contract intentionally.

Need a quick one-off quality check? Use the free in-browser CSV checker. File processing stays on your device and the CSV is not uploaded.

03 · AUTOMATE ONLY THE NARROW CHECK YOU NEED

For recurring files, make structural preflight deterministic

The Recurring CSV Drift Check Pack is intentionally narrow. It focuses on repeatable file-structure checks rather than type inference, nullability rules, sparsity analysis, or broad data-contract governance. The local Python 3.10+ standard-library workflow saves a reusable structural baseline, returns deterministic exit codes, and can write an optional JSON report without uploading the CSV, creating an account, or installing third-party Python packages.

04 · KNOW WHEN NOT TO BUY IT

Already using schema or data-contract tooling? Keep using it.

This pack is not a replacement for a broader schema, data-contract, or data-quality platform. If your team already has tooling that reliably gates recurring CSV changes, you probably do not need this pack. The paid option is for a narrower case: you want a small dependency-free preflight script that can be handed to an operator or dropped into an existing local workflow without adding an account, upload step, or third-party Python package.

Buy the pack for ¥2,980 as a one-time purchase. Seller disclosure / 特定商取引法に基づく表記.