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"""
Copyright 2024, Zep Software, Inc.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
"""
import logging
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from abc import ABC, abstractmethod
from datetime import datetime
from enum import Enum
from time import time
from typing import Any
from uuid import uuid4
from pydantic import BaseModel, Field
from typing_extensions import LiteralString
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from graphiti_core.driver.driver import GraphDriver
from graphiti_core.embedder import EmbedderClient
from graphiti_core.errors import NodeNotFoundError
from graphiti_core.helpers import DEFAULT_DATABASE, parse_db_date
from graphiti_core.models.nodes.node_db_queries import (
COMMUNITY_NODE_SAVE,
ENTITY_NODE_SAVE,
EPISODIC_NODE_SAVE,
)
from graphiti_core.utils.datetime_utils import utc_now
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logger = logging.getLogger(__name__)
ENTITY_NODE_RETURN: LiteralString = """
RETURN
n.uuid As uuid,
n.name AS name,
n.group_id AS group_id,
n.created_at AS created_at,
n.summary AS summary,
labels(n) AS labels,
properties(n) AS attributes
"""
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class EpisodeType(Enum):
"""
Enumeration of different types of episodes that can be processed.
This enum defines the various sources or formats of episodes that the system
can handle. It's used to categorize and potentially handle different types
of input data differently.
Attributes:
-----------
message : str
Represents a standard message-type episode. The content for this type
should be formatted as "actor: content". For example, "user: Hello, how are you?"
or "assistant: I'm doing well, thank you for asking."
json : str
Represents an episode containing a JSON string object with structured data.
text : str
Represents a plain text episode.
"""
message = 'message'
json = 'json'
text = 'text'
@staticmethod
def from_str(episode_type: str):
if episode_type == 'message':
return EpisodeType.message
if episode_type == 'json':
return EpisodeType.json
if episode_type == 'text':
return EpisodeType.text
logger.error(f'Episode type: {episode_type} not implemented')
raise NotImplementedError
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class Node(BaseModel, ABC):
uuid: str = Field(default_factory=lambda: str(uuid4()))
name: str = Field(description='name of the node')
group_id: str = Field(description='partition of the graph')
labels: list[str] = Field(default_factory=list)
created_at: datetime = Field(default_factory=lambda: utc_now())
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@abstractmethod
async def save(self, driver: GraphDriver): ...
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async def delete(self, driver: GraphDriver):
result = await driver.execute_query(
"""
MATCH (n:Entity|Episodic|Community {uuid: $uuid})
DETACH DELETE n
""",
uuid=self.uuid,
database_=DEFAULT_DATABASE,
)
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logger.debug(f'Deleted Node: {self.uuid}')
return result
def __hash__(self):
return hash(self.uuid)
def __eq__(self, other):
if isinstance(other, Node):
return self.uuid == other.uuid
return False
@classmethod
async def delete_by_group_id(cls, driver: GraphDriver, group_id: str):
await driver.execute_query(
"""
MATCH (n:Entity|Episodic|Community {group_id: $group_id})
DETACH DELETE n
""",
group_id=group_id,
database_=DEFAULT_DATABASE,
)
return 'SUCCESS'
@classmethod
async def get_by_uuid(cls, driver: GraphDriver, uuid: str): ...
@classmethod
async def get_by_uuids(cls, driver: GraphDriver, uuids: list[str]): ...
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class EpisodicNode(Node):
source: EpisodeType = Field(description='source type')
source_description: str = Field(description='description of the data source')
content: str = Field(description='raw episode data')
valid_at: datetime = Field(
description='datetime of when the original document was created',
)
entity_edges: list[str] = Field(
description='list of entity edges referenced in this episode',
default_factory=list,
)
async def save(self, driver: GraphDriver):
result = await driver.execute_query(
EPISODIC_NODE_SAVE,
uuid=self.uuid,
name=self.name,
group_id=self.group_id,
source_description=self.source_description,
content=self.content,
entity_edges=self.entity_edges,
created_at=self.created_at,
valid_at=self.valid_at,
source=self.source.value,
database_=DEFAULT_DATABASE,
)
logger.debug(f'Saved Node to Graph: {self.uuid}')
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return result
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@classmethod
async def get_by_uuid(cls, driver: GraphDriver, uuid: str):
records, _, _ = await driver.execute_query(
"""
MATCH (e:Episodic {uuid: $uuid})
RETURN e.content AS content,
e.created_at AS created_at,
e.valid_at AS valid_at,
e.uuid AS uuid,
e.name AS name,
e.group_id AS group_id,
e.source_description AS source_description,
e.source AS source,
e.entity_edges AS entity_edges
""",
uuid=uuid,
database_=DEFAULT_DATABASE,
routing_='r',
)
episodes = [get_episodic_node_from_record(record) for record in records]
if len(episodes) == 0:
raise NodeNotFoundError(uuid)
return episodes[0]
@classmethod
async def get_by_uuids(cls, driver: GraphDriver, uuids: list[str]):
records, _, _ = await driver.execute_query(
"""
MATCH (e:Episodic) WHERE e.uuid IN $uuids
RETURN DISTINCT
e.content AS content,
e.created_at AS created_at,
e.valid_at AS valid_at,
e.uuid AS uuid,
e.name AS name,
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e.group_id AS group_id,
e.source_description AS source_description,
e.source AS source,
e.entity_edges AS entity_edges
""",
uuids=uuids,
database_=DEFAULT_DATABASE,
routing_='r',
)
episodes = [get_episodic_node_from_record(record) for record in records]
return episodes
@classmethod
async def get_by_group_ids(
cls,
driver: GraphDriver,
group_ids: list[str],
limit: int | None = None,
uuid_cursor: str | None = None,
):
cursor_query: LiteralString = 'AND e.uuid < $uuid' if uuid_cursor else ''
limit_query: LiteralString = 'LIMIT $limit' if limit is not None else ''
records, _, _ = await driver.execute_query(
"""
MATCH (e:Episodic) WHERE e.group_id IN $group_ids
"""
+ cursor_query
+ """
RETURN DISTINCT
e.content AS content,
e.created_at AS created_at,
e.valid_at AS valid_at,
e.uuid AS uuid,
e.name AS name,
e.group_id AS group_id,
e.source_description AS source_description,
e.source AS source,
e.entity_edges AS entity_edges
ORDER BY e.uuid DESC
"""
+ limit_query,
group_ids=group_ids,
uuid=uuid_cursor,
limit=limit,
database_=DEFAULT_DATABASE,
routing_='r',
)
episodes = [get_episodic_node_from_record(record) for record in records]
return episodes
@classmethod
async def get_by_entity_node_uuid(cls, driver: GraphDriver, entity_node_uuid: str):
records, _, _ = await driver.execute_query(
"""
MATCH (e:Episodic)-[r:MENTIONS]->(n:Entity {uuid: $entity_node_uuid})
RETURN DISTINCT
e.content AS content,
e.created_at AS created_at,
e.valid_at AS valid_at,
e.uuid AS uuid,
e.name AS name,
e.group_id AS group_id,
e.source_description AS source_description,
e.source AS source,
e.entity_edges AS entity_edges
""",
entity_node_uuid=entity_node_uuid,
database_=DEFAULT_DATABASE,
routing_='r',
)
episodes = [get_episodic_node_from_record(record) for record in records]
return episodes
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class EntityNode(Node):
name_embedding: list[float] | None = Field(default=None, description='embedding of the name')
summary: str = Field(description='regional summary of surrounding edges', default_factory=str)
attributes: dict[str, Any] = Field(
default={}, description='Additional attributes of the node. Dependent on node labels'
)
async def generate_name_embedding(self, embedder: EmbedderClient):
start = time()
text = self.name.replace('\n', ' ')
self.name_embedding = await embedder.create(input_data=[text])
end = time()
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logger.debug(f'embedded {text} in {end - start} ms')
return self.name_embedding
async def load_name_embedding(self, driver: GraphDriver):
query: LiteralString = """
MATCH (n:Entity {uuid: $uuid})
RETURN n.name_embedding AS name_embedding
"""
records, _, _ = await driver.execute_query(
query, uuid=self.uuid, database_=DEFAULT_DATABASE, routing_='r'
)
if len(records) == 0:
raise NodeNotFoundError(self.uuid)
self.name_embedding = records[0]['name_embedding']
async def save(self, driver: GraphDriver):
entity_data: dict[str, Any] = {
'uuid': self.uuid,
'name': self.name,
'name_embedding': self.name_embedding,
'group_id': self.group_id,
'summary': self.summary,
'created_at': self.created_at,
}
entity_data.update(self.attributes or {})
result = await driver.execute_query(
ENTITY_NODE_SAVE,
labels=self.labels + ['Entity'],
entity_data=entity_data,
database_=DEFAULT_DATABASE,
)
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logger.debug(f'Saved Node to Graph: {self.uuid}')
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return result
@classmethod
async def get_by_uuid(cls, driver: GraphDriver, uuid: str):
query = (
"""
MATCH (n:Entity {uuid: $uuid})
"""
+ ENTITY_NODE_RETURN
)
records, _, _ = await driver.execute_query(
query,
uuid=uuid,
database_=DEFAULT_DATABASE,
routing_='r',
)
nodes = [get_entity_node_from_record(record) for record in records]
if len(nodes) == 0:
raise NodeNotFoundError(uuid)
return nodes[0]
@classmethod
async def get_by_uuids(cls, driver: GraphDriver, uuids: list[str]):
records, _, _ = await driver.execute_query(
"""
MATCH (n:Entity) WHERE n.uuid IN $uuids
"""
+ ENTITY_NODE_RETURN,
uuids=uuids,
database_=DEFAULT_DATABASE,
routing_='r',
)
nodes = [get_entity_node_from_record(record) for record in records]
return nodes
@classmethod
async def get_by_group_ids(
cls,
driver: GraphDriver,
group_ids: list[str],
limit: int | None = None,
uuid_cursor: str | None = None,
):
cursor_query: LiteralString = 'AND n.uuid < $uuid' if uuid_cursor else ''
limit_query: LiteralString = 'LIMIT $limit' if limit is not None else ''
records, _, _ = await driver.execute_query(
"""
MATCH (n:Entity) WHERE n.group_id IN $group_ids
"""
+ cursor_query
+ ENTITY_NODE_RETURN
+ """
ORDER BY n.uuid DESC
"""
+ limit_query,
group_ids=group_ids,
uuid=uuid_cursor,
limit=limit,
database_=DEFAULT_DATABASE,
routing_='r',
)
nodes = [get_entity_node_from_record(record) for record in records]
return nodes
class CommunityNode(Node):
name_embedding: list[float] | None = Field(default=None, description='embedding of the name')
summary: str = Field(description='region summary of member nodes', default_factory=str)
async def save(self, driver: GraphDriver):
result = await driver.execute_query(
COMMUNITY_NODE_SAVE,
uuid=self.uuid,
name=self.name,
group_id=self.group_id,
summary=self.summary,
name_embedding=self.name_embedding,
created_at=self.created_at,
database_=DEFAULT_DATABASE,
)
logger.debug(f'Saved Node to Graph: {self.uuid}')
return result
async def generate_name_embedding(self, embedder: EmbedderClient):
start = time()
text = self.name.replace('\n', ' ')
self.name_embedding = await embedder.create(input_data=[text])
end = time()
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logger.debug(f'embedded {text} in {end - start} ms')
return self.name_embedding
async def load_name_embedding(self, driver: GraphDriver):
query: LiteralString = """
MATCH (c:Community {uuid: $uuid})
RETURN c.name_embedding AS name_embedding
"""
records, _, _ = await driver.execute_query(
query, uuid=self.uuid, database_=DEFAULT_DATABASE, routing_='r'
)
if len(records) == 0:
raise NodeNotFoundError(self.uuid)
self.name_embedding = records[0]['name_embedding']
@classmethod
async def get_by_uuid(cls, driver: GraphDriver, uuid: str):
records, _, _ = await driver.execute_query(
"""
MATCH (n:Community {uuid: $uuid})
RETURN
n.uuid As uuid,
n.name AS name,
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n.group_id AS group_id,
n.created_at AS created_at,
n.summary AS summary
""",
uuid=uuid,
database_=DEFAULT_DATABASE,
routing_='r',
)
nodes = [get_community_node_from_record(record) for record in records]
if len(nodes) == 0:
raise NodeNotFoundError(uuid)
return nodes[0]
@classmethod
async def get_by_uuids(cls, driver: GraphDriver, uuids: list[str]):
records, _, _ = await driver.execute_query(
"""
MATCH (n:Community) WHERE n.uuid IN $uuids
RETURN
n.uuid As uuid,
n.name AS name,
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n.group_id AS group_id,
n.created_at AS created_at,
n.summary AS summary
""",
uuids=uuids,
database_=DEFAULT_DATABASE,
routing_='r',
)
communities = [get_community_node_from_record(record) for record in records]
return communities
@classmethod
async def get_by_group_ids(
cls,
driver: GraphDriver,
group_ids: list[str],
limit: int | None = None,
uuid_cursor: str | None = None,
):
cursor_query: LiteralString = 'AND n.uuid < $uuid' if uuid_cursor else ''
limit_query: LiteralString = 'LIMIT $limit' if limit is not None else ''
records, _, _ = await driver.execute_query(
"""
MATCH (n:Community) WHERE n.group_id IN $group_ids
"""
+ cursor_query
+ """
RETURN
n.uuid As uuid,
n.name AS name,
n.group_id AS group_id,
n.created_at AS created_at,
n.summary AS summary
ORDER BY n.uuid DESC
"""
+ limit_query,
group_ids=group_ids,
uuid=uuid_cursor,
limit=limit,
database_=DEFAULT_DATABASE,
routing_='r',
)
communities = [get_community_node_from_record(record) for record in records]
return communities
# Node helpers
def get_episodic_node_from_record(record: Any) -> EpisodicNode:
return EpisodicNode(
content=record['content'],
created_at=parse_db_date(record['created_at']), # type: ignore
valid_at=parse_db_date(record['valid_at']), # type: ignore
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'],
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