agent csv import crashed on malformed questionnaire row with parse error

agent csv import crashed on malformed questionnaire row with parse error: how to fix it

An agent CSV import crashing on a malformed questionnaire row needs row-level error isolation. Validate each row before processing, skip and log the bad ones, and continue. One bad row should never kill a thousand good ones.

agent csv import crashed on malformed questionnaire row with parse error

When to use this skill

• CSV imports crash on a bad row
• One malformed row kills the whole import

When not to use this skill

• Every row fails (a structural issue)
• Rows import but misalign (a delimiter issue)

Tool compatibility

Agent CSV import pipelines with row validation. Related area: CSV and Excel data import pipelines. Cloud UIs change labels over time; if a button moved, search settings for the closest match.

Before you start

• Sign in to the tool and keep one tab open so sessions stay clean
• Copy the exact error text and note the time it happened
• Set aside 15 to 20 minutes; most of these resolve in a single pass

Quick diagnosis

Make sure this is the right skill before you invest the 15 minutes.

• If you are dealing with cSV imports crash on a bad row, start at step 1 below.
• If instead every row fails (a structural issue), stop here; you need a different skill.
• If neither quite matches, compare your screen against the verbatim error block at the top; that block is exactly what this skill covers.

Fix it in steps

1. Add per-row validation

Validate field counts and types on each row before processing it.

Expected: malformed rows identified without crashing.

2. Skip and log bad rows

Write bad rows to an error file with line numbers and continue.

Expected: the import completes with a clean error report.

3. Review the error file

Open the logged rows and fix the source data.

Expected: a short list of fixable problems.

4. Re-import the fixed rows

Import just the corrected rows.

Expected: full data set complete.

Confirm each step worked

Run through this checklist before moving on. If a check fails, redo that step instead of pushing ahead.

• Step 1 (add per-row validation): Expected: malformed rows identified without crashing.
• Step 2 (skip and log bad rows): Expected: the import completes with a clean error report.
• Step 3 (review the error file): Expected: a short list of fixable problems.
• Step 4 (re-import the fixed rows): Expected: full data set complete.

Quick recap

1. Add per-row validation
2. Skip and log bad rows
3. Review the error file
4. Re-import the fixed rows

Still stuck?

Gather three things: the exact error text, the time it happened, and what changed just before it broke. Check the vendor status page for an active incident. Then open a support ticket with those three things; it cuts the back-and-forth in half. For agent runs, attach the last 50 lines of the agent log too, since the loop or timeout signature in the log usually names the cause.

Variant phrasings

csv import crashed malformed row

Isolate per row, skip and log. If this matches what you saw, the steps above apply as written.

agent parse error questionnaire row

The error file is the deliverable, not just the import. If this matches what you saw, the steps above apply as written.

Why it happens

Naive import loops assume every row is well-formed, so the first malformed row throws and aborts everything. Row-level isolation turns a fatal crash into a logged skip with the import otherwise complete.

Edge cases

• Always report skipped rows, silent skips hide data loss
• Validate before any side effects, not after partial writes
• Keep the original file untouched for reprocessing

Provenance

Resolved from the public thread: https://vectle.com/posts/pstqB-WjTiH3RERA0QtFJVIg