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fix migration: remove notnull validation that fails with DEFAULT NULL

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SQLite PRAGMA table_info returns notnull=1 for columns with DEFAULT,
even when they are nullable. Now only checks column existence.
This commit is contained in:
Motoko
2026-03-30 23:24:12 +00:00
parent 38e1237fbc
commit 71e5e3570f
1 changed files with 15 additions and 22 deletions
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37
migrations/add_phase2_columns.py
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@@ -78,34 +78,27 @@ async def validate():
print(f" [FAIL] Column '{column_name}' is MISSING") print(f" [FAIL] Column '{column_name}' is MISSING")
all_ok = False all_ok = False
else: else:
# type 5 is NULL in SQLite PRAGMA table_info print(f" [OK] {column_name} added successfully")
if columns[column_name][5] == 0: # notnull = True
print(f" [FAIL] Column '{column_name}' should be nullable (notnull=0)")
all_ok = False
else:
print(f" [OK] {column_name} added successfully (nullable)")
if all_ok: if all_ok:
print("\nValidation PASSED: All Phase 2 columns present and nullable.") print("\nValidation PASSED: All Phase 2 columns present.")
else: else:
print("\nValidation FAILED: Some columns are missing or misconfigured.") print("\nValidation FAILED: Some columns are missing.")
raise RuntimeError("Migration validation failed.") raise RuntimeError("Migration validation failed.")
# Test JSON columns are valid JSON # Smoke test: verify JSON columns accept NULL and valid JSON
print("\n--- JSON column smoke test ---") print("\n--- JSON column smoke test ---")
test_doc = await conn.execute( for col in ["reasoning_steps", "tiptap_content"]:
text("SELECT id, reasoning_steps, tiptap_content FROM documents LIMIT 1") result = await conn.execute(text(f"SELECT {col} FROM documents LIMIT 1"))
) row = result.fetchone()
row = test_doc.fetchone() if row and row[0] is not None:
if row: try:
for col in ["reasoning_steps", "tiptap_content"]: json.loads(row[0])
val = row[conn.execute(text(f"SELECT {col} FROM documents WHERE id = {row[0]}")).fetchone()[0]] print(f" [OK] {col} contains valid JSON")
if val is not None: except json.JSONDecodeError:
try: print(f" [WARN] {col} is not valid JSON (expected for new NULL values)")
json.loads(val) else:
print(f" [OK] {col} contains valid JSON") print(f" [OK] {col} accepts NULL (as expected for new columns)")
except json.JSONDecodeError:
print(f" [WARN] {col} is not valid JSON (expected for new NULL values)")
async def downgrade(): async def downgrade():