refac/enh: db session sharing
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@@ -30,27 +30,27 @@ from sqlalchemy.exc import NoSuchTableError
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from sqlalchemy.dialects.postgresql.psycopg2 import PGDialect_psycopg2
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from sqlalchemy.dialects import registry
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class OpenGaussDialect(PGDialect_psycopg2):
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name = "opengauss"
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def _get_server_version_info(self, connection):
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try:
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version = connection.exec_driver_sql("SELECT version()").scalar()
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if not version:
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return (9, 0, 0)
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match = re.search(
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r"openGauss\s+(\d+)\.(\d+)\.(\d+)(?:-\w+)?",
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version,
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re.IGNORECASE
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r"openGauss\s+(\d+)\.(\d+)\.(\d+)(?:-\w+)?", version, re.IGNORECASE
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)
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if match:
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return (int(match.group(1)), int(match.group(2)), int(match.group(3)))
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return super()._get_server_version_info(connection)
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except Exception:
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return (9, 0, 0)
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# Register dialect
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registry.register("opengauss", __name__, "OpenGaussDialect")
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@@ -78,6 +78,7 @@ Base = declarative_base()
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log = logging.getLogger(__name__)
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log.setLevel(SRC_LOG_LEVELS["RAG"])
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class DocumentChunk(Base):
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__tablename__ = "document_chunk"
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@@ -87,29 +88,30 @@ class DocumentChunk(Base):
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text = Column(Text, nullable=True)
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vmetadata = Column(MutableDict.as_mutable(JSONB), nullable=True)
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class OpenGaussClient(VectorDBBase):
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def __init__(self) -> None:
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if not OPENGAUSS_DB_URL:
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from open_webui.internal.db import Session
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self.session = Session
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from open_webui.internal.db import ScopedSession
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self.session = ScopedSession
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else:
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engine_kwargs = {
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"pool_pre_ping": True,
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"dialect": OpenGaussDialect()
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}
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engine_kwargs = {"pool_pre_ping": True, "dialect": OpenGaussDialect()}
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if isinstance(OPENGAUSS_POOL_SIZE, int) and OPENGAUSS_POOL_SIZE > 0:
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engine_kwargs.update({
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"pool_size": OPENGAUSS_POOL_SIZE,
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"max_overflow": OPENGAUSS_POOL_MAX_OVERFLOW,
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"pool_timeout": OPENGAUSS_POOL_TIMEOUT,
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"pool_recycle": OPENGAUSS_POOL_RECYCLE,
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"poolclass": QueuePool
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})
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engine_kwargs.update(
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{
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"pool_size": OPENGAUSS_POOL_SIZE,
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"max_overflow": OPENGAUSS_POOL_MAX_OVERFLOW,
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"pool_timeout": OPENGAUSS_POOL_TIMEOUT,
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"pool_recycle": OPENGAUSS_POOL_RECYCLE,
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"poolclass": QueuePool,
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}
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)
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else:
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engine_kwargs["poolclass"] = NullPool
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engine = create_engine(OPENGAUSS_DB_URL,** engine_kwargs)
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engine = create_engine(OPENGAUSS_DB_URL, **engine_kwargs)
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SessionLocal = sessionmaker(
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autocommit=False, autoflush=False, bind=engine, expire_on_commit=False
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@@ -160,7 +162,9 @@ class OpenGaussClient(VectorDBBase):
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else:
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raise Exception("The 'vector' column type is not Vector.")
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else:
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raise Exception("The 'vector' column does not exist in the 'document_chunk' table.")
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raise Exception(
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"The 'vector' column does not exist in the 'document_chunk' table."
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)
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def adjust_vector_length(self, vector: List[float]) -> List[float]:
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current_length = len(vector)
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@@ -185,7 +189,9 @@ class OpenGaussClient(VectorDBBase):
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new_items.append(new_chunk)
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self.session.bulk_save_objects(new_items)
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self.session.commit()
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log.info(f"Inserting {len(new_items)} items into collection '{collection_name}'.")
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log.info(
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f"Inserting {len(new_items)} items into collection '{collection_name}'."
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)
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except Exception as e:
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self.session.rollback()
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log.exception(f"Failed to insert data: {e}")
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@@ -215,7 +221,9 @@ class OpenGaussClient(VectorDBBase):
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)
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self.session.add(new_chunk)
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self.session.commit()
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log.info(f"Inserting/updating {len(items)} items in collection '{collection_name}'.")
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log.info(
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f"Inserting/updating {len(items)} items in collection '{collection_name}'."
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)
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except Exception as e:
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self.session.rollback()
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log.exception(f"Failed to insert or update data.: {e}")
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@@ -241,7 +249,9 @@ class OpenGaussClient(VectorDBBase):
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q_vector_col = column("q_vector", Vector(VECTOR_LENGTH))
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query_vectors = (
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values(qid_col, q_vector_col)
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.data([(idx, vector_expr(vector)) for idx, vector in enumerate(vectors)])
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.data(
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[(idx, vector_expr(vector)) for idx, vector in enumerate(vectors)]
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)
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.alias("query_vectors")
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)
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@@ -249,13 +259,17 @@ class OpenGaussClient(VectorDBBase):
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DocumentChunk.id,
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DocumentChunk.text,
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DocumentChunk.vmetadata,
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(DocumentChunk.vector.cosine_distance(query_vectors.c.q_vector)).label("distance"),
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(DocumentChunk.vector.cosine_distance(query_vectors.c.q_vector)).label(
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"distance"
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),
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]
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subq = (
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select(*result_fields)
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.where(DocumentChunk.collection_name == collection_name)
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.order_by(DocumentChunk.vector.cosine_distance(query_vectors.c.q_vector))
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.order_by(
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DocumentChunk.vector.cosine_distance(query_vectors.c.q_vector)
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)
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)
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if limit is not None:
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subq = subq.limit(limit)
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@@ -368,7 +382,9 @@ class OpenGaussClient(VectorDBBase):
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query = query.filter(DocumentChunk.id.in_(ids))
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if filter:
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for key, value in filter.items():
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query = query.filter(DocumentChunk.vmetadata[key].astext == str(value))
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query = query.filter(
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DocumentChunk.vmetadata[key].astext == str(value)
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)
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deleted = query.delete(synchronize_session=False)
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self.session.commit()
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log.info(f"Deleted {deleted} items from collection '{collection_name}'")
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@@ -395,7 +411,8 @@ class OpenGaussClient(VectorDBBase):
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exists = (
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self.session.query(DocumentChunk)
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.filter(DocumentChunk.collection_name == collection_name)
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.first() is not None
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.first()
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is not None
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)
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self.session.rollback()
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return exists
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@@ -406,4 +423,4 @@ class OpenGaussClient(VectorDBBase):
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def delete_collection(self, collection_name: str) -> None:
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self.delete(collection_name)
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log.info(f"Collection '{collection_name}' has been deleted")
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log.info(f"Collection '{collection_name}' has been deleted")
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@@ -90,9 +90,9 @@ class PgvectorClient(VectorDBBase):
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# if no pgvector uri, use the existing database connection
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if not PGVECTOR_DB_URL:
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from open_webui.internal.db import Session
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from open_webui.internal.db import ScopedSession
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self.session = Session
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self.session = ScopedSession
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else:
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if isinstance(PGVECTOR_POOL_SIZE, int):
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if PGVECTOR_POOL_SIZE > 0:
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