Refactor get_model_instance_from_graph

This commit is contained in:
Leon Luithlen 2024-11-15 15:57:50 +01:00
parent afae70f3b5
commit 5a464bfca7

View file

@ -2,28 +2,35 @@ from pydantic_core import PydanticUndefined
from cognee.infrastructure.engine import DataPoint
from cognee.modules.storage.utils import copy_model
def merge_dicts(dict1, dict2, agg_fn):
merged_dict = {}
for key, value in dict1.items():
if key in dict2:
merged_dict[key] = agg_fn(value, dict2[key])
else:
merged_dict[key] = value
def get_model_instance_from_graph(nodes: list[DataPoint], edges: list, entity_id: str):
node_map = {}
for key, value in dict2.items():
if key not in merged_dict:
merged_dict[key] = value
return merged_dict
for node in nodes:
node_map[node.id] = node
def get_model_instance_from_graph(nodes: list[DataPoint], edges: list[tuple[str, str, str, dict[str, str]]], entity_id: str):
node_map = {node.id: node for node in nodes}
for edge in edges:
source_node = node_map[edge[0]]
target_node = node_map[edge[1]]
edge_label = edge[2]
edge_properties = edge[3] if len(edge) == 4 else {}
for source_node_id, target_node_id, edge_label, edge_properties in edges:
source_node = node_map[source_node_id]
target_node = node_map[target_node_id]
edge_metadata = edge_properties.get("metadata", {})
edge_type = edge_metadata.get("type")
if edge_type == "list":
NewModel = copy_model(type(source_node), { edge_label: (list[type(target_node)], PydanticUndefined) })
node_map[edge[0]] = NewModel(**source_node.model_dump(), **{ edge_label: [target_node] })
new_model_dict = merge_dicts(source_node.model_dump(), { edge_label: [target_node] }, lambda a, b: a + b)
node_map[source_node_id] = NewModel(**new_model_dict)
else:
NewModel = copy_model(type(source_node), { edge_label: (type(target_node), PydanticUndefined) })
node_map[edge[0]] = NewModel(**source_node.model_dump(), **{ edge_label: target_node })
node_map[target_node_id] = NewModel(**source_node.model_dump(), **{ edge_label: target_node })
return node_map[entity_id]