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feat: restructures graphiti object indexing

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This commit is contained in:
hajdul88 2025-01-14 13:58:13 +01:00
parent 5e9471ebad
commit 84d04aafe1
2 changed files with 84 additions and 71 deletions
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71
cognee/tasks/storage/index_graph_edges.py
View file

@ -4,77 +4,6 @@ from collections import Counter
from cognee.infrastructure.databases.vector import get_vector_engine
from cognee.infrastructure.databases.graph import get_graph_engine
from cognee.modules.graph.models.EdgeType import EdgeType
from cognee.tasks.temporal_awareness.graphiti_model import GraphitiNode
async def index_graphiti_nodes_and_edges():
try:
created_indexes = {}
index_points = {}
vector_engine = get_vector_engine()
graph_engine = await get_graph_engine()
except Exception as e:
logging.error("Failed to initialize engines: %s", e)
raise RuntimeError("Initialization error") from e
nodes_data, edges_data = await graph_engine.get_model_independent_graph_data()
for node_data in nodes_data[0]["nodes"]:
graphiti_node = GraphitiNode(
**{key: node_data[key] for key in ("content", "name", "summary") if key in node_data}
)
data_point_type = type(graphiti_node)
for field_name in graphiti_node._metadata["index_fields"]:
index_name = f"{data_point_type.__tablename__}.{field_name}"
if index_name not in created_indexes:
await vector_engine.create_vector_index(data_point_type.__tablename__, field_name)
created_indexes[index_name] = True
if index_name not in index_points:
index_points[index_name] = []
if getattr(graphiti_node, field_name, None) is not None:
indexed_data_point = graphiti_node.model_copy()
indexed_data_point._metadata["index_fields"] = [field_name]
index_points[index_name].append(indexed_data_point)
for index_name, indexable_points in index_points.items():
index_name, field_name = index_name.split(".")
await vector_engine.index_data_points(index_name, field_name, indexable_points)
edge_types = Counter(
edge[1]
for edge in edges_data[0]["relationships"]
if isinstance(edge, tuple) and len(edge) == 3
)
for text, count in edge_types.items():
edge = EdgeType(relationship_name=text, number_of_edges=count)
data_point_type = type(edge)
for field_name in edge._metadata["index_fields"]:
index_name = f"{data_point_type.__tablename__}.{field_name}"
if index_name not in created_indexes:
await vector_engine.create_vector_index(data_point_type.__tablename__, field_name)
created_indexes[index_name] = True
if index_name not in index_points:
index_points[index_name] = []
indexed_data_point = edge.model_copy()
indexed_data_point._metadata["index_fields"] = [field_name]
index_points[index_name].append(indexed_data_point)
for index_name, indexable_points in index_points.items():
index_name, field_name = index_name.split(".")
await vector_engine.index_data_points(index_name, field_name, indexable_points)
return None
async def index_graph_edges():

84
cognee/tasks/temporal_awareness/index_graphiti_objects.py Normal file
View file

@ -0,0 +1,84 @@
import logging
from collections import Counter
from cognee.tasks.temporal_awareness.graphiti_model import GraphitiNode
from cognee.infrastructure.databases.vector import get_vector_engine
from cognee.infrastructure.databases.graph import get_graph_engine
from cognee.modules.graph.models.EdgeType import EdgeType
async def index_and_transform_graphiti_nodes_and_edges():
try:
created_indexes = {}
index_points = {}
vector_engine = get_vector_engine()
graph_engine = await get_graph_engine()
except Exception as e:
logging.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 (source)-[r]->(target) SET r.source_node_id = source.id,
r.target_node_id = target.id,
r.relationship_name = type(r) RETURN r""")
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()
for node_data in nodes_data[0]["nodes"]:
graphiti_node = GraphitiNode(
**{key: node_data[key] for key in ("content", "name", "summary") if key in node_data},
id=node_data.get("uuid"),
)
data_point_type = type(graphiti_node)
for field_name in graphiti_node._metadata["index_fields"]:
index_name = f"{data_point_type.__tablename__}.{field_name}"
if index_name not in created_indexes:
await vector_engine.create_vector_index(data_point_type.__tablename__, field_name)
created_indexes[index_name] = True
if index_name not in index_points:
index_points[index_name] = []
if getattr(graphiti_node, field_name, None) is not None:
indexed_data_point = graphiti_node.model_copy()
indexed_data_point._metadata["index_fields"] = [field_name]
index_points[index_name].append(indexed_data_point)
for index_name, indexable_points in index_points.items():
index_name, field_name = index_name.split(".")
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
)
for text, count in edge_types.items():
edge = EdgeType(relationship_name=text, number_of_edges=count)
data_point_type = type(edge)
for field_name in edge._metadata["index_fields"]:
index_name = f"{data_point_type.__tablename__}.{field_name}"
if index_name not in created_indexes:
await vector_engine.create_vector_index(data_point_type.__tablename__, field_name)
created_indexes[index_name] = True
if index_name not in index_points:
index_points[index_name] = []
indexed_data_point = edge.model_copy()
indexed_data_point._metadata["index_fields"] = [field_name]
index_points[index_name].append(indexed_data_point)
for index_name, indexable_points in index_points.items():
index_name, field_name = index_name.split(".")
await vector_engine.index_data_points(index_name, field_name, indexable_points)
return None