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166 lines
5.6 KiB
Python
166 lines
5.6 KiB
Python
import os
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import pathlib
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from typing import List
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from uuid import UUID, uuid4
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from pydantic import BaseModel
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import cognee
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from cognee.api.v1.datasets import datasets
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from cognee.context_global_variables import set_database_global_context_variables
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from cognee.infrastructure.engine import DataPoint
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from cognee.modules.data.methods import create_authorized_dataset
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from cognee.modules.engine.operations.setup import setup
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from cognee.modules.engine.utils import generate_node_id
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from cognee.modules.users.models import User
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from cognee.modules.users.methods import get_default_user
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from cognee.shared.logging_utils import get_logger
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from cognee.tasks.storage import add_data_points
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logger = get_logger()
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async def main():
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data_directory_path = str(
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pathlib.Path(
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os.path.join(pathlib.Path(__file__).parent, ".data_storage/test_delete_custom_graph")
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).resolve()
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)
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cognee.config.data_root_directory(data_directory_path)
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cognee_directory_path = str(
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pathlib.Path(
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os.path.join(pathlib.Path(__file__).parent, ".cognee_system/test_delete_custom_graph")
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).resolve()
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)
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cognee.config.system_root_directory(cognee_directory_path)
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await cognee.prune.prune_data()
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await cognee.prune.prune_system(metadata=True)
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await setup()
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class Organization(DataPoint):
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name: str
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metadata: dict = {"index_fields": ["name"]}
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class ForProfit(Organization):
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name: str = "For-Profit"
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metadata: dict = {"index_fields": ["name"]}
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class NonProfit(Organization):
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name: str = "Non-Profit"
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metadata: dict = {"index_fields": ["name"]}
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class Person(DataPoint):
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name: str
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works_for: List[Organization]
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metadata: dict = {"index_fields": ["name"]}
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companyA = ForProfit(id=generate_node_id("Company A"), name="Company A")
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companyB = NonProfit(id=generate_node_id("Company B"), name="Company B")
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person1 = Person(id=generate_node_id("John"), name="John", works_for=[companyA, companyB])
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person2 = Person(id=generate_node_id("Jane"), name="Jane", works_for=[companyB])
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user: User = await get_default_user() # type: ignore
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class CustomData(BaseModel):
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id: UUID
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dataset = await create_authorized_dataset(dataset_name="test_dataset", user=user)
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data1 = CustomData(id=uuid4())
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data2 = CustomData(id=uuid4())
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await set_database_global_context_variables(dataset.id, dataset.owner_id)
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from cognee.modules.pipelines.models import PipelineContext
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await add_data_points(
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[person1],
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ctx=PipelineContext(
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user=user,
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dataset=dataset,
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data_item=data1,
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),
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)
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await add_data_points(
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[person2],
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ctx=PipelineContext(
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user=user,
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dataset=dataset,
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data_item=data2,
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),
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)
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from cognee.infrastructure.databases.graph import get_graph_engine
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graph_engine = await get_graph_engine()
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nodes, edges = await graph_engine.get_graph_data()
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# Initial check — filter out EdgeType nodes created by index_graph_edges
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data_nodes = [n for n in nodes if n[1].get("type") != "EdgeType"]
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assert len(data_nodes) == 4 and len(edges) == 3, (
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f"Expected 4 data nodes and 3 edges, got {len(data_nodes)} and {len(edges)}"
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)
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nodes_by_id = {node[0]: node[1] for node in nodes}
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assert str(generate_node_id("John")) in nodes_by_id, "John node not present in the graph."
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assert str(generate_node_id("Jane")) in nodes_by_id, "Jane node not present in the graph."
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assert str(generate_node_id("Company A")) in nodes_by_id, (
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"Company A node not present in the graph."
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)
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assert str(generate_node_id("Company B")) in nodes_by_id, (
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"Company B node not present in the graph."
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)
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edges_by_ids = {f"{edge[0]}_{edge[2]}_{edge[1]}": edge[3] for edge in edges}
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assert (
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f"{str(generate_node_id('John'))}_works_for_{str(generate_node_id('Company A'))}"
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in edges_by_ids
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), "Edge between John and Company A not present in the graph."
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assert (
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f"{str(generate_node_id('John'))}_works_for_{str(generate_node_id('Company B'))}"
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in edges_by_ids
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), "Edge between John and Company A not present in the graph."
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assert (
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f"{str(generate_node_id('Jane'))}_works_for_{str(generate_node_id('Company B'))}"
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in edges_by_ids
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), "Edge between John and Company A not present in the graph."
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# Second data deletion
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await datasets.delete_data(dataset.id, data1.id, user)
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nodes, edges = await graph_engine.get_graph_data()
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remaining_data_nodes = [n for n in nodes if n[1].get("type") != "EdgeType"]
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assert len(remaining_data_nodes) == 2 and len(edges) == 1, (
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f"Expected 2 data nodes and 1 edge after delete, got {len(remaining_data_nodes)} and {len(edges)}"
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)
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nodes_by_id = {node[0]: node[1] for node in nodes}
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assert str(generate_node_id("Jane")) in nodes_by_id, "Jane node not present in the graph."
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assert str(generate_node_id("Company B")) in nodes_by_id, (
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"Company B node not present in the graph."
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)
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edges_by_ids = {f"{edge[0]}_{edge[2]}_{edge[1]}": edge[3] for edge in edges}
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assert (
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f"{str(generate_node_id('Jane'))}_works_for_{str(generate_node_id('Company B'))}"
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in edges_by_ids
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), "Edge between John and Company A not present in the graph."
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# Second data deletion
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await datasets.delete_data(dataset.id, data2.id, user)
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nodes, edges = await graph_engine.get_graph_data()
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assert len(nodes) == 0 and len(edges) == 0, "Nodes and edges are not deleted."
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if __name__ == "__main__":
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import asyncio
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asyncio.run(main())
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