[loop-cycle-951] refactor: break up _migrate_schema() (#552) (#558)
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This commit was merged in pull request #558.
This commit is contained in:
2026-03-19 21:11:02 -04:00
parent 7ad0ee17b6
commit f361893fdd

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@@ -98,6 +98,73 @@ def _get_table_columns(conn: sqlite3.Connection, table_name: str) -> set[str]:
return {row[1] for row in cursor.fetchall()}
def _migrate_episodes(conn: sqlite3.Connection) -> None:
"""Migrate episodes table rows into the unified memories table."""
logger.info("Migration: Converting episodes table to memories")
try:
cols = _get_table_columns(conn, "episodes")
context_type_col = "context_type" if "context_type" in cols else "'conversation'"
conn.execute(f"""
INSERT INTO memories (
id, content, memory_type, source, embedding,
metadata, agent_id, task_id, session_id,
created_at, access_count, last_accessed
)
SELECT
id, content,
COALESCE({context_type_col}, 'conversation'),
COALESCE(source, 'agent'),
embedding,
metadata, agent_id, task_id, session_id,
COALESCE(timestamp, datetime('now')), 0, NULL
FROM episodes
""")
conn.execute("DROP TABLE episodes")
logger.info("Migration: Migrated episodes to memories")
except sqlite3.Error as exc:
logger.warning("Migration: Failed to migrate episodes: %s", exc)
def _migrate_chunks(conn: sqlite3.Connection) -> None:
"""Migrate chunks table rows into the unified memories table."""
logger.info("Migration: Converting chunks table to memories")
try:
cols = _get_table_columns(conn, "chunks")
id_col = "id" if "id" in cols else "CAST(rowid AS TEXT)"
content_col = "content" if "content" in cols else "text"
source_col = (
"filepath" if "filepath" in cols else ("source" if "source" in cols else "'vault'")
)
embedding_col = "embedding" if "embedding" in cols else "NULL"
created_col = "created_at" if "created_at" in cols else "datetime('now')"
conn.execute(f"""
INSERT INTO memories (
id, content, memory_type, source, embedding,
created_at, access_count
)
SELECT
{id_col}, {content_col}, 'vault_chunk', {source_col},
{embedding_col}, {created_col}, 0
FROM chunks
""")
conn.execute("DROP TABLE chunks")
logger.info("Migration: Migrated chunks to memories")
except sqlite3.Error as exc:
logger.warning("Migration: Failed to migrate chunks: %s", exc)
def _drop_legacy_table(conn: sqlite3.Connection, table: str) -> None:
"""Drop a legacy table if it exists."""
try:
conn.execute(f"DROP TABLE {table}") # noqa: S608
logger.info("Migration: Dropped old %s table", table)
except sqlite3.Error as exc:
logger.warning("Migration: Failed to drop %s: %s", table, exc)
def _migrate_schema(conn: sqlite3.Connection) -> None:
"""Migrate from old three-table schema to unified memories table.
@@ -110,78 +177,16 @@ def _migrate_schema(conn: sqlite3.Connection) -> None:
tables = {row[0] for row in cursor.fetchall()}
has_memories = "memories" in tables
has_episodes = "episodes" in tables
has_chunks = "chunks" in tables
has_facts = "facts" in tables
# Check if we need to migrate (old schema exists)
if not has_memories and (has_episodes or has_chunks or has_facts):
if not has_memories and (tables & {"episodes", "chunks", "facts"}):
logger.info("Migration: Creating unified memories table")
# Schema will be created by _ensure_schema above
# Migrate episodes -> memories
if has_episodes and has_memories:
logger.info("Migration: Converting episodes table to memories")
try:
cols = _get_table_columns(conn, "episodes")
context_type_col = "context_type" if "context_type" in cols else "'conversation'"
conn.execute(f"""
INSERT INTO memories (
id, content, memory_type, source, embedding,
metadata, agent_id, task_id, session_id,
created_at, access_count, last_accessed
)
SELECT
id, content,
COALESCE({context_type_col}, 'conversation'),
COALESCE(source, 'agent'),
embedding,
metadata, agent_id, task_id, session_id,
COALESCE(timestamp, datetime('now')), 0, NULL
FROM episodes
""")
conn.execute("DROP TABLE episodes")
logger.info("Migration: Migrated episodes to memories")
except sqlite3.Error as exc:
logger.warning("Migration: Failed to migrate episodes: %s", exc)
# Migrate chunks -> memories as vault_chunk
if has_chunks and has_memories:
logger.info("Migration: Converting chunks table to memories")
try:
cols = _get_table_columns(conn, "chunks")
id_col = "id" if "id" in cols else "CAST(rowid AS TEXT)"
content_col = "content" if "content" in cols else "text"
source_col = (
"filepath" if "filepath" in cols else ("source" if "source" in cols else "'vault'")
)
embedding_col = "embedding" if "embedding" in cols else "NULL"
created_col = "created_at" if "created_at" in cols else "datetime('now')"
conn.execute(f"""
INSERT INTO memories (
id, content, memory_type, source, embedding,
created_at, access_count
)
SELECT
{id_col}, {content_col}, 'vault_chunk', {source_col},
{embedding_col}, {created_col}, 0
FROM chunks
""")
conn.execute("DROP TABLE chunks")
logger.info("Migration: Migrated chunks to memories")
except sqlite3.Error as exc:
logger.warning("Migration: Failed to migrate chunks: %s", exc)
# Drop old tables
if has_facts:
try:
conn.execute("DROP TABLE facts")
logger.info("Migration: Dropped old facts table")
except sqlite3.Error as exc:
logger.warning("Migration: Failed to drop facts: %s", exc)
if "episodes" in tables and has_memories:
_migrate_episodes(conn)
if "chunks" in tables and has_memories:
_migrate_chunks(conn)
if "facts" in tables:
_drop_legacy_table(conn, "facts")
conn.commit()