fix(cli): skip transform when table missing after header-only CSV (fixes #702)

insert_upsert_implementation and memory multi-file import call
Table.transform() after TypeTracker runs. For a CSV with only a header row,
insert_all yields no rows and may not create the table; transform() then
asserted. Only run transform when the table exists.

Covers both the insert command path and the memory command path.

Made-with: Cursor
This commit is contained in:
beejak 2026-04-21 22:33:20 +05:30
commit a6b3812fc7
2 changed files with 17 additions and 2 deletions

View file

@ -1176,7 +1176,7 @@ def insert_upsert_implementation(
)
else:
raise
if tracker is not None:
if tracker is not None and db[table].exists():
db.table(table).transform(types=tracker.types)
# Clean up open file-like objects
@ -2033,7 +2033,7 @@ 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[file_table].exists():
db.table(file_table).transform(types=tracker.types)
# Add convenient t / t1 / t2 views
view_names = ["t{}".format(i + 1)]

View file

@ -2327,6 +2327,21 @@ def test_upsert_detect_types(tmpdir, option):
]
def test_insert_csv_header_only_detect_types_no_crash(tmpdir):
"""Header-only CSV with default type detection must not crash (issue #702)."""
db_path = str(tmpdir / "test.db")
data = "name,age,weight\n"
result = CliRunner().invoke(
cli.cli,
["insert", db_path, "creatures", "-", "--csv"],
catch_exceptions=False,
input=data,
)
assert result.exit_code == 0
db = Database(db_path)
assert not db["creatures"].exists()
def test_csv_detect_types_creates_real_columns(tmpdir):
"""Test that CSV import creates REAL columns for floats (default behavior)"""
db_path = str(tmpdir / "test.db")