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Fix issue #702: Handle CSV with only header row in --detect-types (#707)

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When inserting a CSV file that contains only a header row (no data rows),
the --detect-types option would crash with an AssertionError because it
tried to transform a table that didn't exist.

This fix adds a check to ensure the table exists before attempting to
apply type transformations. The fix is applied in two places:
1. insert_upsert_implementation() for the insert command
2. memory() command for CSV/TSV files

Added test case: test_insert_csv_headers_only

Co-authored-by: Test User <test@example.com>
This commit is contained in:
Rami Abdelrazzaq 2026-06-21 17:57:06 -05:00 • committed by GitHub
commit 2b0cc04c8d
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2 changed files with 20 additions and 2 deletions
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4
sqlite_utils/cli.py
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@ -1177,7 +1177,7 @@ def insert_upsert_implementation(
)
else:
raise
if tracker is not None:
if tracker is not None and db.table(table).exists():
db.table(table).transform(types=tracker.types)
# Clean up open file-like objects
@ -2034,7 +2034,7 @@ def memory(
rows = (_flatten(row) for row in rows)
db.table(file_table).insert_all(rows, alter=True)
if tracker is not None:
if tracker is not None and db.table(file_table).exists():
db.table(file_table).transform(types=tracker.types)
# Add convenient t / t1 / t2 views
view_names = ["t{}".format(i + 1)]