LightRAG/lightrag/kg/age_impl.py
yangdx cf61bed62c Reorganize env config sections, add data store config to env file.
• Add namespace prefix config option
• Make AGE graph name optional
• Update env variable requirements
• Add comments for deprecated options
2025-02-12 21:48:48 +08:00

622 lines
22 KiB
Python

import asyncio
import inspect
import json
import os
import sys
from contextlib import asynccontextmanager
from dataclasses import dataclass
from typing import Any, Dict, List, NamedTuple, Optional, Tuple, Union
import pipmaster as pm
if not pm.is_installed("psycopg-pool"):
pm.install("psycopg-pool")
pm.install("psycopg[binary,pool]")
if not pm.is_installed("asyncpg"):
pm.install("asyncpg")
import psycopg
from psycopg.rows import namedtuple_row
from psycopg_pool import AsyncConnectionPool, PoolTimeout
from tenacity import (
retry,
retry_if_exception_type,
stop_after_attempt,
wait_exponential,
)
from lightrag.utils import logger
from ..base import BaseGraphStorage
if sys.platform.startswith("win"):
import asyncio.windows_events
asyncio.set_event_loop_policy(asyncio.WindowsSelectorEventLoopPolicy())
class AGEQueryException(Exception):
"""Exception for the AGE queries."""
def __init__(self, exception: Union[str, Dict]) -> None:
if isinstance(exception, dict):
self.message = exception["message"] if "message" in exception else "unknown"
self.details = exception["details"] if "details" in exception else "unknown"
else:
self.message = exception
self.details = "unknown"
def get_message(self) -> str:
return self.message
def get_details(self) -> Any:
return self.details
@dataclass
class AGEStorage(BaseGraphStorage):
@staticmethod
def load_nx_graph(file_name):
print("no preloading of graph with AGE in production")
def __init__(self, namespace, global_config, embedding_func):
super().__init__(
namespace=namespace,
global_config=global_config,
embedding_func=embedding_func,
)
self._driver = None
self._driver_lock = asyncio.Lock()
DB = os.environ["AGE_POSTGRES_DB"].replace("\\", "\\\\").replace("'", "\\'")
USER = os.environ["AGE_POSTGRES_USER"].replace("\\", "\\\\").replace("'", "\\'")
PASSWORD = (
os.environ["AGE_POSTGRES_PASSWORD"]
.replace("\\", "\\\\")
.replace("'", "\\'")
)
HOST = os.environ["AGE_POSTGRES_HOST"].replace("\\", "\\\\").replace("'", "\\'")
PORT = os.environ.get("AGE_POSTGRES_PORT", "8529")
self.graph_name = namespace or os.environ.get("AGE_GRAPH_NAME", "lightrag")
connection_string = f"dbname='{DB}' user='{USER}' password='{PASSWORD}' host='{HOST}' port={PORT}"
self._driver = AsyncConnectionPool(connection_string, open=False)
return None
def __post_init__(self):
self._node_embed_algorithms = {
"node2vec": self._node2vec_embed,
}
async def close(self):
if self._driver:
await self._driver.close()
self._driver = None
async def __aexit__(self, exc_type, exc, tb):
if self._driver:
await self._driver.close()
async def index_done_callback(self):
print("KG successfully indexed.")
@staticmethod
def _record_to_dict(record: NamedTuple) -> Dict[str, Any]:
"""
Convert a record returned from an age query to a dictionary
Args:
record (): a record from an age query result
Returns:
Dict[str, Any]: a dictionary representation of the record where
the dictionary key is the field name and the value is the
value converted to a python type
"""
# result holder
d = {}
# prebuild a mapping of vertex_id to vertex mappings to be used
# later to build edges
vertices = {}
for k in record._fields:
v = getattr(record, k)
# agtype comes back '{key: value}::type' which must be parsed
if isinstance(v, str) and "::" in v:
dtype = v.split("::")[-1]
v = v.split("::")[0]
if dtype == "vertex":
vertex = json.loads(v)
vertices[vertex["id"]] = vertex.get("properties")
# iterate returned fields and parse appropriately
for k in record._fields:
v = getattr(record, k)
if isinstance(v, str) and "::" in v:
dtype = v.split("::")[-1]
v = v.split("::")[0]
else:
dtype = ""
if dtype == "vertex":
vertex = json.loads(v)
field = json.loads(v).get("properties")
if not field:
field = {}
field["label"] = AGEStorage._decode_graph_label(vertex["label"])
d[k] = field
# convert edge from id-label->id by replacing id with node information
# we only do this if the vertex was also returned in the query
# this is an attempt to be consistent with neo4j implementation
elif dtype == "edge":
edge = json.loads(v)
d[k] = (
vertices.get(edge["start_id"], {}),
edge[
"label"
], # we don't use decode_graph_label(), since edge label is always "DIRECTED"
vertices.get(edge["end_id"], {}),
)
else:
d[k] = json.loads(v) if isinstance(v, str) else v
return d
@staticmethod
def _format_properties(
properties: Dict[str, Any], _id: Union[str, None] = None
) -> str:
"""
Convert a dictionary of properties to a string representation that
can be used in a cypher query insert/merge statement.
Args:
properties (Dict[str,str]): a dictionary containing node/edge properties
id (Union[str, None]): the id of the node or None if none exists
Returns:
str: the properties dictionary as a properly formatted string
"""
props = []
# wrap property key in backticks to escape
for k, v in properties.items():
prop = f"`{k}`: {json.dumps(v)}"
props.append(prop)
if _id is not None and "id" not in properties:
props.append(
f"id: {json.dumps(_id)}" if isinstance(_id, str) else f"id: {_id}"
)
return "{" + ", ".join(props) + "}"
@staticmethod
def _encode_graph_label(label: str) -> str:
"""
Since AGE suports only alphanumerical labels, we will encode generic label as HEX string
Args:
label (str): the original label
Returns:
str: the encoded label
"""
return "x" + label.encode().hex()
@staticmethod
def _decode_graph_label(encoded_label: str) -> str:
"""
Since AGE suports only alphanumerical labels, we will encode generic label as HEX string
Args:
encoded_label (str): the encoded label
Returns:
str: the decoded label
"""
return bytes.fromhex(encoded_label.removeprefix("x")).decode()
@staticmethod
def _get_col_name(field: str, idx: int) -> str:
"""
Convert a cypher return field to a pgsql select field
If possible keep the cypher column name, but create a generic name if necessary
Args:
field (str): a return field from a cypher query to be formatted for pgsql
idx (int): the position of the field in the return statement
Returns:
str: the field to be used in the pgsql select statement
"""
# remove white space
field = field.strip()
# if an alias is provided for the field, use it
if " as " in field:
return field.split(" as ")[-1].strip()
# if the return value is an unnamed primitive, give it a generic name
if field.isnumeric() or field in ("true", "false", "null"):
return f"column_{idx}"
# otherwise return the value stripping out some common special chars
return field.replace("(", "_").replace(")", "")
@staticmethod
def _wrap_query(query: str, graph_name: str, **params: str) -> str:
"""
Convert a cypher query to an Apache Age compatible
sql query by wrapping the cypher query in ag_catalog.cypher,
casting results to agtype and building a select statement
Args:
query (str): a valid cypher query
graph_name (str): the name of the graph to query
params (dict): parameters for the query
Returns:
str: an equivalent pgsql query
"""
# pgsql template
template = """SELECT {projection} FROM ag_catalog.cypher('{graph_name}', $$
{query}
$$) AS ({fields});"""
# if there are any returned fields they must be added to the pgsql query
if "return" in query.lower():
# parse return statement to identify returned fields
fields = (
query.lower()
.split("return")[-1]
.split("distinct")[-1]
.split("order by")[0]
.split("skip")[0]
.split("limit")[0]
.split(",")
)
# raise exception if RETURN * is found as we can't resolve the fields
if "*" in [x.strip() for x in fields]:
raise ValueError(
"AGE graph does not support 'RETURN *'"
+ " statements in Cypher queries"
)
# get pgsql formatted field names
fields = [
AGEStorage._get_col_name(field, idx) for idx, field in enumerate(fields)
]
# build resulting pgsql relation
fields_str = ", ".join(
[field.split(".")[-1] + " agtype" for field in fields]
)
# if no return statement we still need to return a single field of type agtype
else:
fields_str = "a agtype"
select_str = "*"
return template.format(
graph_name=graph_name,
query=query.format(**params),
fields=fields_str,
projection=select_str,
)
async def _query(self, query: str, **params: str) -> List[Dict[str, Any]]:
"""
Query the graph by taking a cypher query, converting it to an
age compatible query, executing it and converting the result
Args:
query (str): a cypher query to be executed
params (dict): parameters for the query
Returns:
List[Dict[str, Any]]: a list of dictionaries containing the result set
"""
# convert cypher query to pgsql/age query
wrapped_query = self._wrap_query(query, self.graph_name, **params)
await self._driver.open()
# create graph if it doesn't exist
async with self._get_pool_connection() as conn:
async with conn.cursor() as curs:
try:
await curs.execute('SET search_path = ag_catalog, "$user", public')
await curs.execute(f"SELECT create_graph('{self.graph_name}')")
await conn.commit()
except (
psycopg.errors.InvalidSchemaName,
psycopg.errors.UniqueViolation,
):
await conn.rollback()
# execute the query, rolling back on an error
async with self._get_pool_connection() as conn:
async with conn.cursor(row_factory=namedtuple_row) as curs:
try:
await curs.execute('SET search_path = ag_catalog, "$user", public')
await curs.execute(wrapped_query)
await conn.commit()
except psycopg.Error as e:
await conn.rollback()
raise AGEQueryException(
{
"message": f"Error executing graph query: {query.format(**params)}",
"detail": str(e),
}
) from e
data = await curs.fetchall()
if data is None:
result = []
# decode records
else:
result = [AGEStorage._record_to_dict(d) for d in data]
return result
async def has_node(self, node_id: str) -> bool:
entity_name_label = node_id.strip('"')
query = """
MATCH (n:`{label}`) RETURN count(n) > 0 AS node_exists
"""
params = {"label": AGEStorage._encode_graph_label(entity_name_label)}
single_result = (await self._query(query, **params))[0]
logger.debug(
"{%s}:query:{%s}:result:{%s}",
inspect.currentframe().f_code.co_name,
query.format(**params),
single_result["node_exists"],
)
return single_result["node_exists"]
async def has_edge(self, source_node_id: str, target_node_id: str) -> bool:
entity_name_label_source = source_node_id.strip('"')
entity_name_label_target = target_node_id.strip('"')
query = """
MATCH (a:`{src_label}`)-[r]-(b:`{tgt_label}`)
RETURN COUNT(r) > 0 AS edge_exists
"""
params = {
"src_label": AGEStorage._encode_graph_label(entity_name_label_source),
"tgt_label": AGEStorage._encode_graph_label(entity_name_label_target),
}
single_result = (await self._query(query, **params))[0]
logger.debug(
"{%s}:query:{%s}:result:{%s}",
inspect.currentframe().f_code.co_name,
query.format(**params),
single_result["edge_exists"],
)
return single_result["edge_exists"]
async def get_node(self, node_id: str) -> Union[dict, None]:
entity_name_label = node_id.strip('"')
query = """
MATCH (n:`{label}`) RETURN n
"""
params = {"label": AGEStorage._encode_graph_label(entity_name_label)}
record = await self._query(query, **params)
if record:
node = record[0]
node_dict = node["n"]
logger.debug(
"{%s}: query: {%s}, result: {%s}",
inspect.currentframe().f_code.co_name,
query.format(**params),
node_dict,
)
return node_dict
return None
async def node_degree(self, node_id: str) -> int:
entity_name_label = node_id.strip('"')
query = """
MATCH (n:`{label}`)-[]->(x)
RETURN count(x) AS total_edge_count
"""
params = {"label": AGEStorage._encode_graph_label(entity_name_label)}
record = (await self._query(query, **params))[0]
if record:
edge_count = int(record["total_edge_count"])
logger.debug(
"{%s}:query:{%s}:result:{%s}",
inspect.currentframe().f_code.co_name,
query.format(**params),
edge_count,
)
return edge_count
async def edge_degree(self, src_id: str, tgt_id: str) -> int:
entity_name_label_source = src_id.strip('"')
entity_name_label_target = tgt_id.strip('"')
src_degree = await self.node_degree(entity_name_label_source)
trg_degree = await self.node_degree(entity_name_label_target)
# Convert None to 0 for addition
src_degree = 0 if src_degree is None else src_degree
trg_degree = 0 if trg_degree is None else trg_degree
degrees = int(src_degree) + int(trg_degree)
logger.debug(
"{%s}:query:src_Degree+trg_degree:result:{%s}",
inspect.currentframe().f_code.co_name,
degrees,
)
return degrees
async def get_edge(
self, source_node_id: str, target_node_id: str
) -> Union[dict, None]:
"""
Find all edges between nodes of two given labels
Args:
source_node_label (str): Label of the source nodes
target_node_label (str): Label of the target nodes
Returns:
list: List of all relationships/edges found
"""
entity_name_label_source = source_node_id.strip('"')
entity_name_label_target = target_node_id.strip('"')
query = """
MATCH (a:`{src_label}`)-[r]->(b:`{tgt_label}`)
RETURN properties(r) as edge_properties
LIMIT 1
"""
params = {
"src_label": AGEStorage._encode_graph_label(entity_name_label_source),
"tgt_label": AGEStorage._encode_graph_label(entity_name_label_target),
}
record = await self._query(query, **params)
if record and record[0] and record[0]["edge_properties"]:
result = record[0]["edge_properties"]
logger.debug(
"{%s}:query:{%s}:result:{%s}",
inspect.currentframe().f_code.co_name,
query.format(**params),
result,
)
return result
async def get_node_edges(self, source_node_id: str) -> List[Tuple[str, str]]:
"""
Retrieves all edges (relationships) for a particular node identified by its label.
:return: List of dictionaries containing edge information
"""
node_label = source_node_id.strip('"')
query = """
MATCH (n:`{label}`)
OPTIONAL MATCH (n)-[r]-(connected)
RETURN n, r, connected
"""
params = {"label": AGEStorage._encode_graph_label(node_label)}
results = await self._query(query, **params)
edges = []
for record in results:
source_node = record["n"] if record["n"] else None
connected_node = record["connected"] if record["connected"] else None
source_label = (
source_node["label"] if source_node and source_node["label"] else None
)
target_label = (
connected_node["label"]
if connected_node and connected_node["label"]
else None
)
if source_label and target_label:
edges.append((source_label, target_label))
return edges
@retry(
stop=stop_after_attempt(3),
wait=wait_exponential(multiplier=1, min=4, max=10),
retry=retry_if_exception_type((AGEQueryException,)),
)
async def upsert_node(self, node_id: str, node_data: Dict[str, Any]):
"""
Upsert a node in the AGE database.
Args:
node_id: The unique identifier for the node (used as label)
node_data: Dictionary of node properties
"""
label = node_id.strip('"')
properties = node_data
query = """
MERGE (n:`{label}`)
SET n += {properties}
"""
params = {
"label": AGEStorage._encode_graph_label(label),
"properties": AGEStorage._format_properties(properties),
}
try:
await self._query(query, **params)
logger.debug(
"Upserted node with label '{%s}' and properties: {%s}",
label,
properties,
)
except Exception as e:
logger.error("Error during upsert: {%s}", e)
raise
@retry(
stop=stop_after_attempt(3),
wait=wait_exponential(multiplier=1, min=4, max=10),
retry=retry_if_exception_type((AGEQueryException,)),
)
async def upsert_edge(
self, source_node_id: str, target_node_id: str, edge_data: Dict[str, Any]
):
"""
Upsert an edge and its properties between two nodes identified by their labels.
Args:
source_node_id (str): Label of the source node (used as identifier)
target_node_id (str): Label of the target node (used as identifier)
edge_data (dict): Dictionary of properties to set on the edge
"""
source_node_label = source_node_id.strip('"')
target_node_label = target_node_id.strip('"')
edge_properties = edge_data
query = """
MATCH (source:`{src_label}`)
WITH source
MATCH (target:`{tgt_label}`)
MERGE (source)-[r:DIRECTED]->(target)
SET r += {properties}
RETURN r
"""
params = {
"src_label": AGEStorage._encode_graph_label(source_node_label),
"tgt_label": AGEStorage._encode_graph_label(target_node_label),
"properties": AGEStorage._format_properties(edge_properties),
}
try:
await self._query(query, **params)
logger.debug(
"Upserted edge from '{%s}' to '{%s}' with properties: {%s}",
source_node_label,
target_node_label,
edge_properties,
)
except Exception as e:
logger.error("Error during edge upsert: {%s}", e)
raise
async def _node2vec_embed(self):
print("Implemented but never called.")
@asynccontextmanager
async def _get_pool_connection(self, timeout: Optional[float] = None):
"""Workaround for a psycopg_pool bug"""
try:
connection = await self._driver.getconn(timeout=timeout)
except PoolTimeout:
await self._driver._add_connection(None) # workaround...
connection = await self._driver.getconn(timeout=timeout)
try:
async with connection:
yield connection
finally:
await self._driver.putconn(connection)