refactor: change getting of tables during deletion
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1 changed files with 13 additions and 15 deletions
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@ -1,5 +1,6 @@
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from sqlalchemy.exc import OperationalError
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from cognee.infrastructure.databases.exceptions import EntityNotFoundError
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from cognee.context_global_variables import backend_access_control_enabled
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from cognee.infrastructure.databases.vector import get_vector_engine
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from cognee.infrastructure.databases.graph.get_graph_engine import get_graph_engine
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@ -25,14 +26,13 @@ async def prune_graph_databases():
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db_engine = get_relational_engine()
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try:
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if "dataset_database" in await db_engine.get_table_names():
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data = await db_engine.get_all_data_from_table("dataset_database")
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# Go through each dataset database and delete the graph database
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for data_item in data:
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await _prune_graph_db(data_item)
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except OperationalError as e:
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data = await db_engine.get_all_data_from_table("dataset_database")
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# Go through each dataset database and delete the graph database
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for data_item in data:
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await _prune_graph_db(data_item)
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except (OperationalError, EntityNotFoundError) as e:
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logger.debug(
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"Skipping pruning of graph DB. OperationalError when accessing dataset_database table: %s",
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"Skipping pruning of graph DB. Error when accessing dataset_database table: %s",
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e,
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)
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return
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@ -51,14 +51,13 @@ async def prune_vector_databases():
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db_engine = get_relational_engine()
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try:
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if "dataset_database" in await db_engine.get_table_names():
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data = await db_engine.get_all_data_from_table("dataset_database")
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# Go through each dataset database and delete the vector database
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for data_item in data:
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await _prune_vector_db(data_item)
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except OperationalError as e:
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data = await db_engine.get_all_data_from_table("dataset_database")
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# Go through each dataset database and delete the vector database
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for data_item in data:
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await _prune_vector_db(data_item)
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except (OperationalError, EntityNotFoundError) as e:
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logger.debug(
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"Skipping pruning of vector DB. OperationalError when accessing dataset_database table: %s",
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"Skipping pruning of vector DB. Error when accessing dataset_database table: %s",
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e,
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)
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return
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@ -67,7 +66,6 @@ async def prune_vector_databases():
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async def prune_system(graph=True, vector=True, metadata=True, cache=True):
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# Note: prune system should not be available through the API, it has no permission checks and will
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# delete all graph and vector databases if called. It should only be used in development or testing environments.
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# TODO: prune_system should work with multi-user access control mode enabled
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if graph and not backend_access_control_enabled():
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graph_engine = await get_graph_engine()
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await graph_engine.delete_graph()
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