Source code for langchain_community.graphs.neptune_rdf_graph

import json
from types import SimpleNamespace
from typing import Any, Dict, Optional, Sequence

import requests

# Query to find OWL datatype properties
 ?elem a owl:DatatypeProperty . 

# Query to find OWL object properties
 ?elem a owl:ObjectProperty . 

    "classes": None,
    "rels": None,
    "dtprops": DTPROP_QUERY,
    "oprops": OPROP_QUERY,

[docs]class NeptuneRdfGraph: """Neptune wrapper for RDF graph operations. Args: host: endpoint for the database instance port: port number for the database instance, default is 8182 use_iam_auth: boolean indicating IAM auth is enabled in Neptune cluster 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 = NeptuneRdfGraph( host='<SPARQL host'>, port=<SPARQL port> ) schema = graph.get_schema() OR graph = NeptuneRdfGraph( host='<SPARQL host'>, port=<SPARQL port> ) schema_elem = graph.get_schema_elements() #... change schema_elements ... graph.load_schema(schema_elem) *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 for more information. """
[docs] def __init__( self, host: str, port: int = 8182, use_https: bool = True, use_iam_auth: bool = False, client: Any = None, credentials_profile_name: Optional[str] = None, region_name: Optional[str] = None, service: str = "neptunedata", sign: bool = True, ) -> None: self.use_iam_auth = use_iam_auth self.region_name = region_name self.query_endpoint = f"https://{host}:{port}/sparql" try: if client is not None: self.client = client else: import boto3 if credentials_profile_name is not None: self.session = boto3.Session(profile_name=credentials_profile_name) else: # use default credentials self.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 = self.session.client(service, **client_params) else: from botocore import UNSIGNED from botocore.config import Config self.client = self.session.client( service, **client_params, config=Config(signature_version=UNSIGNED), ) except ImportError: raise ImportError( "Could not import boto3 python package. " "Please install it with `pip install boto3`." ) except Exception as e: if type(e).__name__ == "UnknownServiceError": raise ImportError( "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 # Set schema self.schema = "" self.schema_elements: Dict[str, Any] = {} self._refresh_schema()
@property def get_schema(self) -> str: """ Returns the schema of the graph database. """ return self.schema @property def get_schema_elements(self) -> Dict[str, Any]: return self.schema_elements
[docs] def get_summary(self) -> Dict[str, Any]: """ Obtain Neptune statistical summary of classes and predicates in the graph. """ return self.client.get_rdf_graph_summary(mode="detailed")
[docs] def query( self, query: str, ) -> Dict[str, Any]: """ Run Neptune query. """ request_data = {"query": query} data = request_data request_hdr = None if self.use_iam_auth: credentials = self.session.get_credentials() credentials = credentials.get_frozen_credentials() access_key = credentials.access_key secret_key = credentials.secret_key service = "neptune-db" session_token = credentials.token params = None creds = SimpleNamespace( access_key=access_key, secret_key=secret_key, token=session_token, region=self.region_name, ) from botocore.awsrequest import AWSRequest request = AWSRequest( method="POST", url=self.query_endpoint, data=data, params=params ) from botocore.auth import SigV4Auth SigV4Auth(creds, service, self.region_name).add_auth(request) request.headers["Content-Type"] = "application/x-www-form-urlencoded" request_hdr = request.headers else: request_hdr = {} request_hdr["Content-Type"] = "application/x-www-form-urlencoded" queryres = requests.request( method="POST", url=self.query_endpoint, headers=request_hdr, data=data ) json_resp = json.loads(queryres.text) return json_resp
[docs] def load_schema(self, schema_elements: Dict[str, Any]) -> None: """ Generates and sets schema from schema_elements. Helpful in cases where introspected schema needs pruning. """ elem_str = {} for elem in ELEM_TYPES: res_list = [] for elem_rec in schema_elements[elem]: uri = elem_rec["uri"] local = elem_rec["local"] res_str = f"<{uri}> ({local})" res_list.append(res_str) elem_str[elem] = ", ".join(res_list) self.schema = ( "In the following, each IRI is followed by the local name and " "optionally its description in parentheses. \n" "The graph supports the following node types:\n" f"{elem_str['classes']}\n" "The graph supports the following relationships:\n" f"{elem_str['rels']}\n" "The graph supports the following OWL object properties:\n" f"{elem_str['dtprops']}\n" "The graph supports the following OWL data properties:\n" f"{elem_str['oprops']}" )
def _get_local_name(self, iri: str) -> Sequence[str]: """ Split IRI into prefix and local """ if "#" in iri: tokens = iri.split("#") return [f"{tokens[0]}#", tokens[-1]] elif "/" in iri: tokens = iri.split("/") return [f"{'/'.join(tokens[0:len(tokens)-1])}/", tokens[-1]] else: raise ValueError(f"Unexpected IRI '{iri}', contains neither '#' nor '/'.") def _refresh_schema(self) -> None: """ Query Neptune to introspect schema. """ self.schema_elements["distinct_prefixes"] = {} # get summary and build list of classes and rels summary = self.get_summary() reslist = [] for c in summary["payload"]["graphSummary"]["classes"]: uri = c tokens = self._get_local_name(uri) elem_record = {"uri": uri, "local": tokens[1]} reslist.append(elem_record) if tokens[0] not in self.schema_elements["distinct_prefixes"]: self.schema_elements["distinct_prefixes"][tokens[0]] = "y" self.schema_elements["classes"] = reslist reslist = [] for r in summary["payload"]["graphSummary"]["predicates"]: for p in r: uri = p tokens = self._get_local_name(uri) elem_record = {"uri": uri, "local": tokens[1]} reslist.append(elem_record) if tokens[0] not in self.schema_elements["distinct_prefixes"]: self.schema_elements["distinct_prefixes"][tokens[0]] = "y" self.schema_elements["rels"] = reslist # get dtprops and oprops too for elem in ELEM_TYPES: q = ELEM_TYPES.get(elem) if not q: continue items = self.query(q) reslist = [] for r in items["results"]["bindings"]: uri = r["elem"]["value"] tokens = self._get_local_name(uri) elem_record = {"uri": uri, "local": tokens[1]} reslist.append(elem_record) if tokens[0] not in self.schema_elements["distinct_prefixes"]: self.schema_elements["distinct_prefixes"][tokens[0]] = "y" self.schema_elements[elem] = reslist self.load_schema(self.schema_elements)