fix: graphiti example (#816)

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## Description
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Daniel Molnar 2025-05-13 14:36:23 +02:00 committed by GitHub
parent f93463e616
commit 8ea00971ad
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2 changed files with 16 additions and 10 deletions

View file

@ -20,20 +20,23 @@ async def index_and_transform_graphiti_nodes_and_edges():
logger.error("Failed to initialize engines: %s", e)
raise RuntimeError("Initialization error") from e
await graph_engine.query("""MATCH (n) SET n.id = n.uuid RETURN n""")
await graph_engine.query("""MATCH (n) SET n.id = n.uuid RETURN n""", params={})
await graph_engine.query(
"""MATCH (source)-[r]->(target) SET r.source_node_id = source.id,
r.target_node_id = target.id,
r.relationship_name = type(r) RETURN r"""
r.relationship_name = type(r) RETURN r""",
params={},
)
await graph_engine.query(
"""MATCH (n) SET n.text = COALESCE(n.summary, n.content) RETURN n""", params={}
)
await graph_engine.query("""MATCH (n) SET n.text = COALESCE(n.summary, n.content) RETURN n""")
nodes_data, edges_data = await graph_engine.get_model_independent_graph_data()
nodes_data, edges_data = await graph_engine.get_graph_data()
for node_data in nodes_data[0]["nodes"]:
for node_id, node_data in nodes_data:
graphiti_node = GraphitiNode(
**{key: node_data[key] for key in ("content", "name", "summary") if key in node_data},
id=node_data.get("uuid"),
id=node_id,
)
data_point_type = type(graphiti_node)
@ -58,9 +61,8 @@ async def index_and_transform_graphiti_nodes_and_edges():
await vector_engine.index_data_points(index_name, field_name, indexable_points)
edge_types = Counter(
edge[1][1]
for edge in edges_data[0]["elements"]
if isinstance(edge, list) and len(edge) == 3
edge[2] # The edge key (relationship name) is at index 2
for edge in edges_data
)
for text, count in edge_types.items():

View file

@ -14,6 +14,7 @@ from cognee.modules.retrieval.utils.brute_force_triplet_search import brute_forc
from cognee.modules.retrieval.graph_completion_retriever import GraphCompletionRetriever
from cognee.infrastructure.llm.prompts import read_query_prompt, render_prompt
from cognee.infrastructure.llm.get_llm_client import get_llm_client
from cognee.modules.users.methods import get_default_user
text_list = [
"Kamala Harris is the Attorney General of California. She was previously "
@ -27,6 +28,9 @@ async def main():
await cognee.prune.prune_system(metadata=True)
await create_relational_db_and_tables()
# Initialize default user
user = await get_default_user()
for text in text_list:
await cognee.add(text)
@ -34,7 +38,7 @@ async def main():
Task(build_graph_with_temporal_awareness, text_list=text_list),
]
pipeline = run_tasks(tasks)
pipeline = run_tasks(tasks, user=user)
async for result in pipeline:
print(result)