feat/enh: kb files db migration

This commit is contained in:
Timothy Jaeryang Baek
2025-12-02 10:53:32 -05:00
parent 29236aefe8
commit d19023288e
5 changed files with 335 additions and 196 deletions
@@ -0,0 +1,160 @@
"""Add knowledge_file table
Revision ID: 3e0e00844bb0
Revises: 90ef40d4714e
Create Date: 2025-12-02 06:54:19.401334
"""
from typing import Sequence, Union
from alembic import op
import sqlalchemy as sa
from sqlalchemy import inspect
import open_webui.internal.db
import time
import json
import uuid
# revision identifiers, used by Alembic.
revision: str = "3e0e00844bb0"
down_revision: Union[str, None] = "90ef40d4714e"
branch_labels: Union[str, Sequence[str], None] = None
depends_on: Union[str, Sequence[str], None] = None
def upgrade() -> None:
op.create_table(
"knowledge_file",
sa.Column("id", sa.Text(), primary_key=True),
sa.Column("user_id", sa.Text(), nullable=False),
sa.Column(
"knowledge_id",
sa.Text(),
sa.ForeignKey("knowledge.id", ondelete="CASCADE"),
nullable=False,
),
sa.Column(
"file_id",
sa.Text(),
sa.ForeignKey("file.id", ondelete="CASCADE"),
nullable=False,
),
sa.Column("created_at", sa.BigInteger(), nullable=False),
sa.Column("updated_at", sa.BigInteger(), nullable=False),
# indexes
sa.Index("ix_knowledge_file_knowledge_id", "knowledge_id"),
sa.Index("ix_knowledge_file_file_id", "file_id"),
sa.Index("ix_knowledge_file_user_id", "user_id"),
# unique constraints
sa.UniqueConstraint(
"knowledge_id", "file_id", name="uq_knowledge_file_knowledge_file"
), # prevent duplicate entries
)
connection = op.get_bind()
# 2. Read existing group with user_ids JSON column
knowledge_table = sa.Table(
"knowledge",
sa.MetaData(),
sa.Column("id", sa.Text()),
sa.Column("user_id", sa.Text()),
sa.Column("data", sa.JSON()), # JSON stored as text in SQLite + PG
)
results = connection.execute(
sa.select(
knowledge_table.c.id, knowledge_table.c.user_id, knowledge_table.c.data
)
).fetchall()
# 3. Insert members into group_member table
kf_table = sa.Table(
"knowledge_file",
sa.MetaData(),
sa.Column("id", sa.Text()),
sa.Column("user_id", sa.Text()),
sa.Column("knowledge_id", sa.Text()),
sa.Column("file_id", sa.Text()),
sa.Column("created_at", sa.BigInteger()),
sa.Column("updated_at", sa.BigInteger()),
)
now = int(time.time())
for knowledge_id, user_id, data in results:
if not data:
continue
if isinstance(data, str):
try:
data = json.loads(data)
except Exception:
continue # skip invalid JSON
if not isinstance(data, dict):
continue
file_ids = data.get("file_ids", [])
rows = [
{
"id": str(uuid.uuid4()),
"user_id": user_id,
"knowledge_id": knowledge_id,
"file_id": file_id,
"created_at": now,
"updated_at": now,
}
for file_id in file_ids
]
if rows:
connection.execute(kf_table.insert(), rows)
with op.batch_alter_table("knowledge") as batch:
batch.drop_column("data")
def downgrade() -> None:
# 1. Add back the old data column
op.add_column("knowledge", sa.Column("data", sa.JSON(), nullable=True))
connection = op.get_bind()
# 2. Read knowledge_file entries and reconstruct data JSON
knowledge_table = sa.Table(
"knowledge",
sa.MetaData(),
sa.Column("id", sa.Text()),
sa.Column("data", sa.JSON()),
)
kf_table = sa.Table(
"knowledge_file",
sa.MetaData(),
sa.Column("id", sa.Text()),
sa.Column("knowledge_id", sa.Text()),
sa.Column("file_id", sa.Text()),
)
results = connection.execute(sa.select(knowledge_table.c.id)).fetchall()
for (knowledge_id,) in results:
file_ids = connection.execute(
sa.select(kf_table.c.file_id).where(kf_table.c.knowledge_id == knowledge_id)
).fetchall()
file_ids_list = [fid for (fid,) in file_ids]
data_json = {"file_ids": file_ids_list}
connection.execute(
knowledge_table.update()
.where(knowledge_table.c.id == knowledge_id)
.values(data=data_json)
)
# 3. Drop the knowledge_file table
op.drop_table("knowledge_file")