* 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>
576 lines
17 KiB
Python
576 lines
17 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 enum import Enum
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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, GraphProvider
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from graphiti_core.embedder import EmbedderClient
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from graphiti_core.errors import NodeNotFoundError
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from graphiti_core.helpers import parse_db_date
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from graphiti_core.models.nodes.node_db_queries import (
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COMMUNITY_NODE_RETURN,
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ENTITY_NODE_RETURN,
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EPISODIC_NODE_RETURN,
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EPISODIC_NODE_SAVE,
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get_community_node_save_query,
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get_entity_node_save_query,
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)
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from graphiti_core.utils.datetime_utils import utc_now
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logger = logging.getLogger(__name__)
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class EpisodeType(Enum):
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"""
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Enumeration of different types of episodes that can be processed.
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This enum defines the various sources or formats of episodes that the system
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can handle. It's used to categorize and potentially handle different types
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of input data differently.
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Attributes:
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-----------
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message : str
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Represents a standard message-type episode. The content for this type
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should be formatted as "actor: content". For example, "user: Hello, how are you?"
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or "assistant: I'm doing well, thank you for asking."
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json : str
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Represents an episode containing a JSON string object with structured data.
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text : str
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Represents a plain text episode.
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"""
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message = 'message'
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json = 'json'
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text = 'text'
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@staticmethod
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def from_str(episode_type: str):
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if episode_type == 'message':
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return EpisodeType.message
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if episode_type == 'json':
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return EpisodeType.json
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if episode_type == 'text':
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return EpisodeType.text
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logger.error(f'Episode type: {episode_type} not implemented')
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raise NotImplementedError
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class Node(BaseModel, ABC):
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uuid: str = Field(default_factory=lambda: str(uuid4()))
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name: str = Field(description='name of the node')
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group_id: str = Field(description='partition of the graph')
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labels: list[str] = Field(default_factory=list)
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created_at: datetime = Field(default_factory=lambda: utc_now())
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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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if driver.provider == GraphProvider.FALKORDB:
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for label in ['Entity', 'Episodic', 'Community']:
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await driver.execute_query(
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f"""
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MATCH (n:{label} {{uuid: $uuid}})
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DETACH DELETE n
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""",
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uuid=self.uuid,
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)
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else:
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await driver.execute_query(
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"""
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MATCH (n:Entity|Episodic|Community {uuid: $uuid})
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DETACH DELETE n
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""",
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uuid=self.uuid,
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)
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logger.debug(f'Deleted Node: {self.uuid}')
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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 delete_by_group_id(cls, driver: GraphDriver, group_id: str):
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if driver.provider == GraphProvider.FALKORDB:
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for label in ['Entity', 'Episodic', 'Community']:
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await driver.execute_query(
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f"""
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MATCH (n:{label} {{group_id: $group_id}})
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DETACH DELETE n
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""",
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group_id=group_id,
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)
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else:
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await driver.execute_query(
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"""
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MATCH (n:Entity|Episodic|Community {group_id: $group_id})
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DETACH DELETE n
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""",
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group_id=group_id,
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)
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@classmethod
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async def get_by_uuid(cls, driver: GraphDriver, uuid: str): ...
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@classmethod
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async def get_by_uuids(cls, driver: GraphDriver, uuids: list[str]): ...
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class EpisodicNode(Node):
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source: EpisodeType = Field(description='source type')
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source_description: str = Field(description='description of the data source')
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content: str = Field(description='raw episode data')
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valid_at: datetime = Field(
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description='datetime of when the original document was created',
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)
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entity_edges: list[str] = Field(
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description='list of entity edges referenced in this episode',
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default_factory=list,
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)
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async def save(self, driver: GraphDriver):
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result = await driver.execute_query(
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EPISODIC_NODE_SAVE,
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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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source_description=self.source_description,
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content=self.content,
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entity_edges=self.entity_edges,
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created_at=self.created_at,
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valid_at=self.valid_at,
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source=self.source.value,
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)
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logger.debug(f'Saved Node 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 (e:Episodic {uuid: $uuid})
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RETURN
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"""
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+ EPISODIC_NODE_RETURN,
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uuid=uuid,
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routing_='r',
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)
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episodes = [get_episodic_node_from_record(record) for record in records]
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if len(episodes) == 0:
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raise NodeNotFoundError(uuid)
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return episodes[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 (e:Episodic)
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WHERE e.uuid IN $uuids
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RETURN DISTINCT
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"""
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+ EPISODIC_NODE_RETURN,
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uuids=uuids,
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routing_='r',
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)
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episodes = [get_episodic_node_from_record(record) for record in records]
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return episodes
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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 (e:Episodic)
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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 DISTINCT
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"""
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+ EPISODIC_NODE_RETURN
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+ """
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ORDER BY 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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episodes = [get_episodic_node_from_record(record) for record in records]
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return episodes
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@classmethod
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async def get_by_entity_node_uuid(cls, driver: GraphDriver, entity_node_uuid: str):
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records, _, _ = await driver.execute_query(
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"""
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MATCH (e:Episodic)-[r:MENTIONS]->(n:Entity {uuid: $entity_node_uuid})
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RETURN DISTINCT
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"""
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+ EPISODIC_NODE_RETURN,
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entity_node_uuid=entity_node_uuid,
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routing_='r',
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)
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episodes = [get_episodic_node_from_record(record) for record in records]
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return episodes
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class EntityNode(Node):
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name_embedding: list[float] | None = Field(default=None, description='embedding of the name')
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summary: str = Field(description='regional summary of surrounding edges', default_factory=str)
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attributes: dict[str, Any] = Field(
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default={}, description='Additional attributes of the node. Dependent on node labels'
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)
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async def generate_name_embedding(self, embedder: EmbedderClient):
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start = time()
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text = self.name.replace('\n', ' ')
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self.name_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.name_embedding
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async def load_name_embedding(self, driver: GraphDriver):
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records, _, _ = await driver.execute_query(
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"""
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MATCH (n:Entity {uuid: $uuid})
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RETURN n.name_embedding AS name_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 NodeNotFoundError(self.uuid)
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self.name_embedding = records[0]['name_embedding']
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async def save(self, driver: GraphDriver):
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entity_data: dict[str, Any] = {
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'uuid': self.uuid,
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'name': self.name,
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'name_embedding': self.name_embedding,
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'group_id': self.group_id,
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'summary': self.summary,
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'created_at': self.created_at,
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}
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entity_data.update(self.attributes or {})
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labels = ':'.join(self.labels + ['Entity'])
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result = await driver.execute_query(
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get_entity_node_save_query(driver.provider, labels),
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entity_data=entity_data,
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)
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logger.debug(f'Saved Node 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 {uuid: $uuid})
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RETURN
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"""
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+ ENTITY_NODE_RETURN,
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uuid=uuid,
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routing_='r',
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)
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nodes = [get_entity_node_from_record(record) for record in records]
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if len(nodes) == 0:
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raise NodeNotFoundError(uuid)
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return nodes[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:Entity)
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WHERE n.uuid IN $uuids
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RETURN
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"""
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+ ENTITY_NODE_RETURN,
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uuids=uuids,
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routing_='r',
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)
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nodes = [get_entity_node_from_record(record) for record in records]
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return nodes
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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 n.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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n.name_embedding AS name_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)
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WHERE n.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_NODE_RETURN
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+ with_embeddings_query
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+ """
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ORDER BY n.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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nodes = [get_entity_node_from_record(record) for record in records]
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return nodes
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class CommunityNode(Node):
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name_embedding: list[float] | None = Field(default=None, description='embedding of the name')
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summary: str = Field(description='region summary of member nodes', default_factory=str)
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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_node_save_query(driver.provider),
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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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summary=self.summary,
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name_embedding=self.name_embedding,
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created_at=self.created_at,
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)
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logger.debug(f'Saved Node to Graph: {self.uuid}')
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return result
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async def generate_name_embedding(self, embedder: EmbedderClient):
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start = time()
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text = self.name.replace('\n', ' ')
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self.name_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.name_embedding
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async def load_name_embedding(self, driver: GraphDriver):
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records, _, _ = await driver.execute_query(
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"""
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MATCH (c:Community {uuid: $uuid})
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RETURN c.name_embedding AS name_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 NodeNotFoundError(self.uuid)
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self.name_embedding = records[0]['name_embedding']
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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 {uuid: $uuid})
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RETURN
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"""
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+ COMMUNITY_NODE_RETURN,
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uuid=uuid,
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routing_='r',
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)
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nodes = [get_community_node_from_record(record) for record in records]
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if len(nodes) == 0:
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raise NodeNotFoundError(uuid)
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return nodes[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)
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WHERE n.uuid IN $uuids
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RETURN
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"""
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+ COMMUNITY_NODE_RETURN,
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uuids=uuids,
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routing_='r',
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)
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communities = [get_community_node_from_record(record) for record in records]
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return communities
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|
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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 n.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)
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WHERE n.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_NODE_RETURN
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+ """
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ORDER BY n.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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communities = [get_community_node_from_record(record) for record in records]
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return communities
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|
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# Node helpers
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|
def get_episodic_node_from_record(record: Any) -> EpisodicNode:
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created_at = parse_db_date(record['created_at'])
|
|
valid_at = parse_db_date(record['valid_at'])
|
|
|
|
if created_at is None:
|
|
raise ValueError(f'created_at cannot be None for episode {record.get("uuid", "unknown")}')
|
|
if valid_at is None:
|
|
raise ValueError(f'valid_at cannot be None for episode {record.get("uuid", "unknown")}')
|
|
|
|
return EpisodicNode(
|
|
content=record['content'],
|
|
created_at=created_at,
|
|
valid_at=valid_at,
|
|
uuid=record['uuid'],
|
|
group_id=record['group_id'],
|
|
source=EpisodeType.from_str(record['source']),
|
|
name=record['name'],
|
|
source_description=record['source_description'],
|
|
entity_edges=record['entity_edges'],
|
|
)
|
|
|
|
|
|
def get_entity_node_from_record(record: Any) -> EntityNode:
|
|
entity_node = EntityNode(
|
|
uuid=record['uuid'],
|
|
name=record['name'],
|
|
name_embedding=record.get('name_embedding'),
|
|
group_id=record['group_id'],
|
|
labels=record['labels'],
|
|
created_at=parse_db_date(record['created_at']), # type: ignore
|
|
summary=record['summary'],
|
|
attributes=record['attributes'],
|
|
)
|
|
|
|
entity_node.attributes.pop('uuid', None)
|
|
entity_node.attributes.pop('name', None)
|
|
entity_node.attributes.pop('group_id', None)
|
|
entity_node.attributes.pop('name_embedding', None)
|
|
entity_node.attributes.pop('summary', None)
|
|
entity_node.attributes.pop('created_at', None)
|
|
|
|
return entity_node
|
|
|
|
|
|
def get_community_node_from_record(record: Any) -> CommunityNode:
|
|
return CommunityNode(
|
|
uuid=record['uuid'],
|
|
name=record['name'],
|
|
group_id=record['group_id'],
|
|
name_embedding=record['name_embedding'],
|
|
created_at=parse_db_date(record['created_at']), # type: ignore
|
|
summary=record['summary'],
|
|
)
|
|
|
|
|
|
async def create_entity_node_embeddings(embedder: EmbedderClient, nodes: list[EntityNode]):
|
|
if not nodes: # Handle empty list case
|
|
return
|
|
|
|
name_embeddings = await embedder.create_batch([node.name for node in nodes])
|
|
for node, name_embedding in zip(nodes, name_embeddings, strict=True):
|
|
node.name_embedding = name_embedding
|