import json
from abc import ABC, abstractmethod
from typing import Any, Dict, List, Optional, Tuple, Union
[docs]
class NeptuneQueryException(Exception):
"""Exception for the Neptune queries."""
def __init__(self, exception: Union[str, Dict]):
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
[docs]
class BaseNeptuneGraph(ABC):
@property
def get_schema(self) -> str:
"""Returns the schema of the Neptune database"""
return self.schema
[docs]
@abstractmethod
def query(self, query: str, params: dict = {}) -> dict:
raise NotImplementedError()
@abstractmethod
def _get_summary(self) -> Dict:
raise NotImplementedError()
def _get_labels(self) -> Tuple[List[str], List[str]]:
"""Get node and edge labels from the Neptune statistics summary"""
summary = self._get_summary()
n_labels = summary["nodeLabels"]
e_labels = summary["edgeLabels"]
return n_labels, e_labels
def _get_triples(self, e_labels: List[str]) -> List[str]:
triple_query = """
MATCH (a)-[e:`{e_label}`]->(b)
WITH a,e,b LIMIT 3000
RETURN DISTINCT labels(a) AS from, type(e) AS edge, labels(b) AS to
LIMIT 10
"""
triple_template = "(:`{a}`)-[:`{e}`]->(:`{b}`)"
triple_schema = []
for label in e_labels:
q = triple_query.format(e_label=label)
data = self.query(q)
for d in data:
triple = triple_template.format(
a=d["from"][0], e=d["edge"], b=d["to"][0]
)
triple_schema.append(triple)
return triple_schema
def _get_node_properties(self, n_labels: List[str], types: Dict) -> List:
node_properties_query = """
MATCH (a:`{n_label}`)
RETURN properties(a) AS props
LIMIT 100
"""
node_properties = []
for label in n_labels:
q = node_properties_query.format(n_label=label)
data = {"label": label, "properties": self.query(q)}
s = set({})
for p in data["properties"]:
for k, v in p["props"].items():
s.add((k, types[type(v).__name__]))
np = {
"properties": [{"property": k, "type": v} for k, v in s],
"labels": label,
}
node_properties.append(np)
return node_properties
def _get_edge_properties(self, e_labels: List[str], types: Dict[str, Any]) -> List:
edge_properties_query = """
MATCH ()-[e:`{e_label}`]->()
RETURN properties(e) AS props
LIMIT 100
"""
edge_properties = []
for label in e_labels:
q = edge_properties_query.format(e_label=label)
data = {"label": label, "properties": self.query(q)}
s = set({})
for p in data["properties"]:
for k, v in p["props"].items():
s.add((k, types[type(v).__name__]))
ep = {
"type": label,
"properties": [{"property": k, "type": v} for k, v in s],
}
edge_properties.append(ep)
return edge_properties
def _refresh_schema(self) -> None:
"""
Refreshes the Neptune graph schema information.
"""
types = {
"str": "STRING",
"float": "DOUBLE",
"int": "INTEGER",
"list": "LIST",
"dict": "MAP",
"bool": "BOOLEAN",
}
n_labels, e_labels = self._get_labels()
triple_schema = self._get_triples(e_labels)
node_properties = self._get_node_properties(n_labels, types)
edge_properties = self._get_edge_properties(e_labels, types)
self.schema = f"""
Node properties are the following:
{node_properties}
Relationship properties are the following:
{edge_properties}
The relationships are the following:
{triple_schema}
"""
[docs]
class NeptuneAnalyticsGraph(BaseNeptuneGraph):
"""Neptune Analytics wrapper for graph operations.
Args:
client: optional boto3 Neptune client
credentials_profile_name: optional AWS profile name
region_name: optional AWS region, e.g., us-west-2
graph_identifier: the graph identifier for a Neptune Analytics graph
Example:
.. code-block:: python
graph = NeptuneAnalyticsGraph(
graph_identifier='<my-graph-id>'
)
*Security note*: Make sure that the database connection uses credentials
that are narrowly-scoped to only include necessary permissions.
Failure to do so may result in data corruption or loss, since the calling
code may attempt commands that would result in deletion, mutation
of data if appropriately prompted or reading sensitive data if such
data is present in the database.
The best way to guard against such negative outcomes is to (as appropriate)
limit the permissions granted to the credentials used with this tool.
See https://python.langchain.com/docs/security for more information.
"""
[docs]
def __init__(
self,
graph_identifier: str,
client: Any = None,
credentials_profile_name: Optional[str] = None,
region_name: Optional[str] = None,
) -> None:
"""Create a new Neptune Analytics graph wrapper instance."""
try:
if client is not None:
self.client = client
else:
import boto3
if credentials_profile_name is not None:
session = boto3.Session(profile_name=credentials_profile_name)
else:
# use default credentials
session = boto3.Session()
self.graph_identifier = graph_identifier
if region_name:
self.client = session.client(
"neptune-graph", region_name=region_name
)
else:
self.client = session.client("neptune-graph")
except ImportError:
raise ModuleNotFoundError(
"Could not import boto3 python package. "
"Please install it with `pip install boto3`."
)
except Exception as e:
if type(e).__name__ == "UnknownServiceError":
raise ModuleNotFoundError(
"NeptuneGraph requires a boto3 version 1.34.40 or greater."
"Please install it with `pip install -U boto3`."
) from e
else:
raise ValueError(
"Could not load credentials to authenticate with AWS client. "
"Please check that credentials in the specified "
"profile name are valid."
) from e
try:
self._refresh_schema()
except Exception as e:
raise NeptuneQueryException(
{
"message": "Could not get schema for Neptune database",
"detail": str(e),
}
)
[docs]
def query(self, query: str, params: dict = {}) -> Dict[str, Any]:
"""Query Neptune database."""
try:
resp = self.client.execute_query(
graphIdentifier=self.graph_identifier,
queryString=query,
parameters=params,
language="OPEN_CYPHER",
)
return json.loads(resp["payload"].read().decode("UTF-8"))["results"]
except Exception as e:
raise NeptuneQueryException(
{
"message": "An error occurred while executing the query.",
"details": str(e),
}
)
def _get_summary(self) -> Dict:
try:
response = self.client.get_graph_summary(
graphIdentifier=self.graph_identifier, mode="detailed"
)
except Exception as e:
raise NeptuneQueryException(
{
"message": ("Summary API error occurred on Neptune Analytics"),
"details": str(e),
}
)
try:
summary = response["graphSummary"]
except Exception:
raise NeptuneQueryException(
{
"message": "Summary API did not return a valid response.",
"details": response.content.decode(),
}
)
else:
return summary
[docs]
class NeptuneGraph(BaseNeptuneGraph):
"""Neptune wrapper for graph operations.
Args:
host: endpoint for the database instance
port: port number for the database instance, default is 8182
use_https: whether to use secure connection, default is True
client: optional boto3 Neptune client
credentials_profile_name: optional AWS profile name
region_name: optional AWS region, e.g., us-west-2
service: optional service name, default is neptunedata
sign: optional, whether to sign the request payload, default is True
Example:
.. code-block:: python
graph = NeptuneGraph(
host='<my-cluster>',
port=8182
)
*Security note*: Make sure that the database connection uses credentials
that are narrowly-scoped to only include necessary permissions.
Failure to do so may result in data corruption or loss, since the calling
code may attempt commands that would result in deletion, mutation
of data if appropriately prompted or reading sensitive data if such
data is present in the database.
The best way to guard against such negative outcomes is to (as appropriate)
limit the permissions granted to the credentials used with this tool.
See https://python.langchain.com/docs/security for more information.
"""
[docs]
def __init__(
self,
host: str,
port: int = 8182,
use_https: bool = True,
client: Any = None,
credentials_profile_name: Optional[str] = None,
region_name: Optional[str] = None,
sign: bool = True,
) -> None:
"""Create a new Neptune graph wrapper instance."""
try:
if client is not None:
self.client = client
else:
import boto3
if credentials_profile_name is not None:
session = boto3.Session(profile_name=credentials_profile_name)
else:
# use default credentials
session = boto3.Session()
client_params = {}
if region_name:
client_params["region_name"] = region_name
protocol = "https" if use_https else "http"
client_params["endpoint_url"] = f"{protocol}://{host}:{port}"
if sign:
self.client = session.client("neptunedata", **client_params)
else:
from botocore import UNSIGNED
from botocore.config import Config
self.client = session.client(
"neptunedata",
**client_params,
config=Config(signature_version=UNSIGNED),
)
except ImportError:
raise ModuleNotFoundError(
"Could not import boto3 python package. "
"Please install it with `pip install boto3`."
)
except Exception as e:
if type(e).__name__ == "UnknownServiceError":
raise ModuleNotFoundError(
"NeptuneGraph requires a boto3 version 1.28.38 or greater."
"Please install it with `pip install -U boto3`."
) from e
else:
raise ValueError(
"Could not load credentials to authenticate with AWS client. "
"Please check that credentials in the specified "
"profile name are valid."
) from e
try:
self._refresh_schema()
except Exception as e:
raise NeptuneQueryException(
{
"message": "Could not get schema for Neptune database",
"detail": str(e),
}
)
[docs]
def query(self, query: str, params: dict = {}) -> Dict[str, Any]:
"""Query Neptune database."""
try:
return self.client.execute_open_cypher_query(openCypherQuery=query)[
"results"
]
except Exception as e:
raise NeptuneQueryException(
{
"message": "An error occurred while executing the query.",
"details": str(e),
}
)
def _get_summary(self) -> Dict:
try:
response = self.client.get_propertygraph_summary()
except Exception as e:
raise NeptuneQueryException(
{
"message": (
"Summary API is not available for this instance of Neptune,"
"ensure the engine version is >=1.2.1.0"
),
"details": str(e),
}
)
try:
summary = response["payload"]["graphSummary"]
except Exception:
raise NeptuneQueryException(
{
"message": "Summary API did not return a valid response.",
"details": response.content.decode(),
}
)
else:
return summary
