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