dcc9da3f68
* Prepare code * Fix tests * As -> AS, remove trailing spaces * Enable more tests for FalkorDB * Fix more cypher queries * Return all created nodes and edges * Add Neo4j service to unit tests workflow - Introduced Neo4j as a service in the GitHub Actions workflow for unit tests. - Configured Neo4j with appropriate ports, authentication, and health checks. - Updated test steps to include waiting for Neo4j and running integration tests against it. - Set environment variables for Neo4j connection in both non-integration and integration test steps. * Update Neo4j authentication in unit tests workflow - Changed Neo4j authentication password from 'test' to 'testpass' in the GitHub Actions workflow. - Updated health check command to reflect the new password. - Ensured consistency across all test steps that utilize Neo4j credentials. * fix health check * Fix Neo4j integration tests in CI workflow Remove reference to non-existent test_neo4j_driver.py file from test command. Integration tests now run via parametrized tests using the drivers list. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com> * Add OPENAI_API_KEY to Neo4j integration tests Neo4j integration tests require OpenAI API access for LLM functionality. Add the secret environment variable to enable these tests to run properly. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com> * Fix Neo4j Cypher syntax error in BFS search queries Replace parameter substitution in relationship pattern ranges (*1..$depth) with direct string interpolation (*1..{bfs_max_depth}). Neo4j doesn't allow parameter maps in MATCH pattern ranges - they must be literal values. Fixed in both node_bfs_search and edge_bfs_search functions. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com> * Fix variable name mismatch in edge_bfs_search query Change relationship variable from 'r' to 'e' to match ENTITY_EDGE_RETURN constant expectations. The ENTITY_EDGE_RETURN constant references variable 'e' for relationships, but the query was using 'r', causing "Variable e not defined" errors. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com> * Isolate database tests in CI workflow - FalkorDB tests: Add DISABLE_NEO4J=1 and remove Neo4j env vars - Neo4j tests: Keep current setup without DISABLE_NEO4J flag This ensures proper test isolation where each test suite only runs against its intended database backend. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com> --------- Co-authored-by: Siddhartha Sahu <sid@kuzudb.com> Co-authored-by: Claude <noreply@anthropic.com>
486 lines
14 KiB
Python
486 lines
14 KiB
Python
"""
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Copyright 2024, Zep Software, Inc.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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"""
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import logging
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from abc import ABC, abstractmethod
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from datetime import datetime
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from time import time
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from typing import Any
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from uuid import uuid4
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from pydantic import BaseModel, Field
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from typing_extensions import LiteralString
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from graphiti_core.driver.driver import GraphDriver
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from graphiti_core.embedder import EmbedderClient
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from graphiti_core.errors import EdgeNotFoundError, GroupsEdgesNotFoundError
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from graphiti_core.helpers import parse_db_date
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from graphiti_core.models.edges.edge_db_queries import (
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COMMUNITY_EDGE_RETURN,
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ENTITY_EDGE_RETURN,
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EPISODIC_EDGE_RETURN,
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EPISODIC_EDGE_SAVE,
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get_community_edge_save_query,
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get_entity_edge_save_query,
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)
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from graphiti_core.nodes import Node
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logger = logging.getLogger(__name__)
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class Edge(BaseModel, ABC):
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uuid: str = Field(default_factory=lambda: str(uuid4()))
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group_id: str = Field(description='partition of the graph')
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source_node_uuid: str
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target_node_uuid: str
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created_at: datetime
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@abstractmethod
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async def save(self, driver: GraphDriver): ...
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async def delete(self, driver: GraphDriver):
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result = await driver.execute_query(
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"""
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MATCH (n)-[e:MENTIONS|RELATES_TO|HAS_MEMBER {uuid: $uuid}]->(m)
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DELETE e
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""",
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uuid=self.uuid,
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)
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logger.debug(f'Deleted Edge: {self.uuid}')
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return result
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def __hash__(self):
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return hash(self.uuid)
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def __eq__(self, other):
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if isinstance(other, Node):
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return self.uuid == other.uuid
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return False
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@classmethod
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async def get_by_uuid(cls, driver: GraphDriver, uuid: str): ...
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class EpisodicEdge(Edge):
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async def save(self, driver: GraphDriver):
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result = await driver.execute_query(
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EPISODIC_EDGE_SAVE,
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episode_uuid=self.source_node_uuid,
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entity_uuid=self.target_node_uuid,
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uuid=self.uuid,
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group_id=self.group_id,
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created_at=self.created_at,
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)
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logger.debug(f'Saved edge to Graph: {self.uuid}')
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return result
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@classmethod
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async def get_by_uuid(cls, driver: GraphDriver, uuid: str):
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records, _, _ = await driver.execute_query(
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"""
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MATCH (n:Episodic)-[e:MENTIONS {uuid: $uuid}]->(m:Entity)
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RETURN
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"""
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+ EPISODIC_EDGE_RETURN,
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uuid=uuid,
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routing_='r',
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)
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edges = [get_episodic_edge_from_record(record) for record in records]
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if len(edges) == 0:
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raise EdgeNotFoundError(uuid)
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return edges[0]
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@classmethod
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async def get_by_uuids(cls, driver: GraphDriver, uuids: list[str]):
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records, _, _ = await driver.execute_query(
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"""
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MATCH (n:Episodic)-[e:MENTIONS]->(m:Entity)
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WHERE e.uuid IN $uuids
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RETURN
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"""
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+ EPISODIC_EDGE_RETURN,
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uuids=uuids,
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routing_='r',
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)
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edges = [get_episodic_edge_from_record(record) for record in records]
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if len(edges) == 0:
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raise EdgeNotFoundError(uuids[0])
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return edges
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@classmethod
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async def get_by_group_ids(
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cls,
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driver: GraphDriver,
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group_ids: list[str],
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limit: int | None = None,
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uuid_cursor: str | None = None,
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):
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cursor_query: LiteralString = 'AND e.uuid < $uuid' if uuid_cursor else ''
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limit_query: LiteralString = 'LIMIT $limit' if limit is not None else ''
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records, _, _ = await driver.execute_query(
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"""
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MATCH (n:Episodic)-[e:MENTIONS]->(m:Entity)
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WHERE e.group_id IN $group_ids
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"""
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+ cursor_query
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+ """
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RETURN
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"""
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+ EPISODIC_EDGE_RETURN
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+ """
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ORDER BY e.uuid DESC
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"""
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+ limit_query,
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group_ids=group_ids,
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uuid=uuid_cursor,
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limit=limit,
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routing_='r',
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)
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edges = [get_episodic_edge_from_record(record) for record in records]
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if len(edges) == 0:
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raise GroupsEdgesNotFoundError(group_ids)
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return edges
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class EntityEdge(Edge):
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name: str = Field(description='name of the edge, relation name')
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fact: str = Field(description='fact representing the edge and nodes that it connects')
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fact_embedding: list[float] | None = Field(default=None, description='embedding of the fact')
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episodes: list[str] = Field(
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default=[],
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description='list of episode ids that reference these entity edges',
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)
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expired_at: datetime | None = Field(
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default=None, description='datetime of when the node was invalidated'
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)
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valid_at: datetime | None = Field(
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default=None, description='datetime of when the fact became true'
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)
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invalid_at: datetime | None = Field(
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default=None, description='datetime of when the fact stopped being true'
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)
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attributes: dict[str, Any] = Field(
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default={}, description='Additional attributes of the edge. Dependent on edge name'
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)
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async def generate_embedding(self, embedder: EmbedderClient):
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start = time()
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text = self.fact.replace('\n', ' ')
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self.fact_embedding = await embedder.create(input_data=[text])
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end = time()
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logger.debug(f'embedded {text} in {end - start} ms')
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return self.fact_embedding
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async def load_fact_embedding(self, driver: GraphDriver):
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records, _, _ = await driver.execute_query(
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"""
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MATCH (n:Entity)-[e:RELATES_TO {uuid: $uuid}]->(m:Entity)
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RETURN e.fact_embedding AS fact_embedding
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""",
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uuid=self.uuid,
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routing_='r',
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)
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if len(records) == 0:
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raise EdgeNotFoundError(self.uuid)
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self.fact_embedding = records[0]['fact_embedding']
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async def save(self, driver: GraphDriver):
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edge_data: dict[str, Any] = {
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'source_uuid': self.source_node_uuid,
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'target_uuid': self.target_node_uuid,
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'uuid': self.uuid,
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'name': self.name,
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'group_id': self.group_id,
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'fact': self.fact,
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'fact_embedding': self.fact_embedding,
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'episodes': self.episodes,
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'created_at': self.created_at,
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'expired_at': self.expired_at,
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'valid_at': self.valid_at,
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'invalid_at': self.invalid_at,
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}
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edge_data.update(self.attributes or {})
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result = await driver.execute_query(
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get_entity_edge_save_query(driver.provider),
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edge_data=edge_data,
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)
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logger.debug(f'Saved edge to Graph: {self.uuid}')
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return result
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@classmethod
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async def get_by_uuid(cls, driver: GraphDriver, uuid: str):
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records, _, _ = await driver.execute_query(
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"""
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MATCH (n:Entity)-[e:RELATES_TO {uuid: $uuid}]->(m:Entity)
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RETURN
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"""
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+ ENTITY_EDGE_RETURN,
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uuid=uuid,
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routing_='r',
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)
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edges = [get_entity_edge_from_record(record) for record in records]
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if len(edges) == 0:
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raise EdgeNotFoundError(uuid)
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return edges[0]
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@classmethod
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async def get_by_uuids(cls, driver: GraphDriver, uuids: list[str]):
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if len(uuids) == 0:
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return []
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records, _, _ = await driver.execute_query(
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"""
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MATCH (n:Entity)-[e:RELATES_TO]->(m:Entity)
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WHERE e.uuid IN $uuids
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RETURN
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"""
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+ ENTITY_EDGE_RETURN,
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uuids=uuids,
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routing_='r',
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)
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edges = [get_entity_edge_from_record(record) for record in records]
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return edges
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@classmethod
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async def get_by_group_ids(
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cls,
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driver: GraphDriver,
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group_ids: list[str],
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limit: int | None = None,
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uuid_cursor: str | None = None,
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with_embeddings: bool = False,
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):
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cursor_query: LiteralString = 'AND e.uuid < $uuid' if uuid_cursor else ''
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limit_query: LiteralString = 'LIMIT $limit' if limit is not None else ''
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with_embeddings_query: LiteralString = (
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""",
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e.fact_embedding AS fact_embedding
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"""
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if with_embeddings
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else ''
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)
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records, _, _ = await driver.execute_query(
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"""
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MATCH (n:Entity)-[e:RELATES_TO]->(m:Entity)
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WHERE e.group_id IN $group_ids
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"""
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+ cursor_query
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+ """
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RETURN
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"""
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+ ENTITY_EDGE_RETURN
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+ with_embeddings_query
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+ """
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ORDER BY e.uuid DESC
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"""
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+ limit_query,
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group_ids=group_ids,
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uuid=uuid_cursor,
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limit=limit,
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routing_='r',
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)
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edges = [get_entity_edge_from_record(record) for record in records]
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if len(edges) == 0:
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raise GroupsEdgesNotFoundError(group_ids)
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return edges
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@classmethod
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async def get_by_node_uuid(cls, driver: GraphDriver, node_uuid: str):
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records, _, _ = await driver.execute_query(
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"""
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MATCH (n:Entity {uuid: $node_uuid})-[e:RELATES_TO]-(m:Entity)
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RETURN
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"""
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+ ENTITY_EDGE_RETURN,
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node_uuid=node_uuid,
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routing_='r',
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)
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edges = [get_entity_edge_from_record(record) for record in records]
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return edges
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class CommunityEdge(Edge):
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async def save(self, driver: GraphDriver):
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result = await driver.execute_query(
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get_community_edge_save_query(driver.provider),
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community_uuid=self.source_node_uuid,
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entity_uuid=self.target_node_uuid,
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uuid=self.uuid,
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group_id=self.group_id,
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created_at=self.created_at,
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)
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logger.debug(f'Saved edge to Graph: {self.uuid}')
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return result
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@classmethod
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async def get_by_uuid(cls, driver: GraphDriver, uuid: str):
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records, _, _ = await driver.execute_query(
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"""
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MATCH (n:Community)-[e:HAS_MEMBER {uuid: $uuid}]->(m)
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RETURN
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"""
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+ COMMUNITY_EDGE_RETURN,
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uuid=uuid,
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routing_='r',
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)
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edges = [get_community_edge_from_record(record) for record in records]
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return edges[0]
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@classmethod
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async def get_by_uuids(cls, driver: GraphDriver, uuids: list[str]):
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records, _, _ = await driver.execute_query(
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"""
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MATCH (n:Community)-[e:HAS_MEMBER]->(m)
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WHERE e.uuid IN $uuids
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RETURN
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"""
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+ COMMUNITY_EDGE_RETURN,
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uuids=uuids,
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routing_='r',
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)
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edges = [get_community_edge_from_record(record) for record in records]
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return edges
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@classmethod
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async def get_by_group_ids(
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cls,
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driver: GraphDriver,
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group_ids: list[str],
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limit: int | None = None,
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uuid_cursor: str | None = None,
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):
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cursor_query: LiteralString = 'AND e.uuid < $uuid' if uuid_cursor else ''
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limit_query: LiteralString = 'LIMIT $limit' if limit is not None else ''
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records, _, _ = await driver.execute_query(
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"""
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MATCH (n:Community)-[e:HAS_MEMBER]->(m)
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WHERE e.group_id IN $group_ids
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"""
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+ cursor_query
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+ """
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RETURN
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"""
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+ COMMUNITY_EDGE_RETURN
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+ """
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ORDER BY e.uuid DESC
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"""
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+ limit_query,
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group_ids=group_ids,
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uuid=uuid_cursor,
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limit=limit,
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routing_='r',
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)
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edges = [get_community_edge_from_record(record) for record in records]
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return edges
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# Edge helpers
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def get_episodic_edge_from_record(record: Any) -> EpisodicEdge:
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return EpisodicEdge(
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uuid=record['uuid'],
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group_id=record['group_id'],
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source_node_uuid=record['source_node_uuid'],
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target_node_uuid=record['target_node_uuid'],
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created_at=parse_db_date(record['created_at']), # type: ignore
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)
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def get_entity_edge_from_record(record: Any) -> EntityEdge:
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edge = EntityEdge(
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uuid=record['uuid'],
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source_node_uuid=record['source_node_uuid'],
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target_node_uuid=record['target_node_uuid'],
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fact=record['fact'],
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fact_embedding=record.get('fact_embedding'),
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name=record['name'],
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group_id=record['group_id'],
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episodes=record['episodes'],
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created_at=parse_db_date(record['created_at']), # type: ignore
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expired_at=parse_db_date(record['expired_at']),
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valid_at=parse_db_date(record['valid_at']),
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invalid_at=parse_db_date(record['invalid_at']),
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attributes=record['attributes'],
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)
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edge.attributes.pop('uuid', None)
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edge.attributes.pop('source_node_uuid', None)
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edge.attributes.pop('target_node_uuid', None)
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edge.attributes.pop('fact', None)
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edge.attributes.pop('name', None)
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edge.attributes.pop('group_id', None)
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edge.attributes.pop('episodes', None)
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edge.attributes.pop('created_at', None)
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edge.attributes.pop('expired_at', None)
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edge.attributes.pop('valid_at', None)
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edge.attributes.pop('invalid_at', None)
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return edge
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def get_community_edge_from_record(record: Any):
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return CommunityEdge(
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uuid=record['uuid'],
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group_id=record['group_id'],
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source_node_uuid=record['source_node_uuid'],
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target_node_uuid=record['target_node_uuid'],
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created_at=parse_db_date(record['created_at']), # type: ignore
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)
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async def create_entity_edge_embeddings(embedder: EmbedderClient, edges: list[EntityEdge]):
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if len(edges) == 0:
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return
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fact_embeddings = await embedder.create_batch([edge.fact for edge in edges])
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for edge, fact_embedding in zip(edges, fact_embeddings, strict=True):
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edge.fact_embedding = fact_embedding
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