import asyncio import cognee import os import logging from cognee.infrastructure.databases.graph import get_graph_engine from cognee.api.v1.visualize.visualize import visualize_graph from cognee.infrastructure.databases.relational import ( get_migration_relational_engine, ) from cognee.modules.search.types import SearchType from cognee.modules.users.methods import get_default_user from cognee.infrastructure.databases.relational import ( create_db_and_tables as create_relational_db_and_tables, ) from cognee.infrastructure.databases.vector.pgvector import ( create_db_and_tables as create_pgvector_db_and_tables, ) # Prerequisites: # 1. Copy `.env.template` and rename it to `.env`. # 2. Add your OpenAI API key to the `.env` file in the `LLM_API_KEY` field: # LLM_API_KEY = "your_key_here" # 3. Fill all relevant MIGRATION_DB information for the database you want to migrate to graph / Cognee async def main(): engine = get_migration_relational_engine() await cognee.prune.prune_data() await cognee.prune.prune_system(metadata=True) # Needed to create principals table # Create tables for databases await create_relational_db_and_tables() await create_pgvector_db_and_tables() print("\nExtracting schema of database to migrate.") schema = await engine.extract_schema() print(f"Migrated database schema:\n{schema}") graph = await get_graph_engine() print("Migrating relational database to graph database based on schema.") from cognee.tasks.ingestion import migrate_relational_database await migrate_relational_database(graph, schema=schema) print("Relational database migration complete.") # Define location where to store html visualization of graph of the migrated database home_dir = os.path.expanduser("~") destination_file_path = os.path.join(home_dir, "graph_visualization.html") # test.html is a file with visualized data migration print("Adding html visualization of graph database after migration.") await visualize_graph(destination_file_path) print(f"Visualization can be found at: {destination_file_path}") search_results = await cognee.search( query_type=SearchType.GRAPH_COMPLETION, query_text="What kind of data do you contain?" ) print(f"Search results: {search_results}") if __name__ == "__main__": loop = asyncio.new_event_loop() asyncio.set_event_loop(loop) try: loop.run_until_complete(main()) finally: loop.run_until_complete(loop.shutdown_asyncgens())