mirror of
https://github.com/trustgraph-ai/trustgraph.git
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Release/v1.2 (#457)
* Bump setup.py versions for 1.1 * PoC MCP server (#419) * Very initial MCP server PoC for TrustGraph * Put service on port 8000 * Add MCP container and packages to buildout * Update docs for API/CLI changes in 1.0 (#421) * Update some API basics for the 0.23/1.0 API change * Add MCP container push (#425) * Add command args to the MCP server (#426) * Host and port parameters * Added websocket arg * More docs * MCP client support (#427) - MCP client service - Tool request/response schema - API gateway support for mcp-tool - Message translation for tool request & response - Make mcp-tool using configuration service for information about where the MCP services are. * Feature/react call mcp (#428) Key Features - MCP Tool Integration: Added core MCP tool support with ToolClientSpec and ToolClient classes - API Enhancement: New mcp_tool method for flow-specific tool invocation - CLI Tooling: New tg-invoke-mcp-tool command for testing MCP integration - React Agent Enhancement: Fixed and improved multi-tool invocation capabilities - Tool Management: Enhanced CLI for tool configuration and management Changes - Added MCP tool invocation to API with flow-specific integration - Implemented ToolClientSpec and ToolClient for tool call handling - Updated agent-manager-react to invoke MCP tools with configurable types - Enhanced CLI with new commands and improved help text - Added comprehensive documentation for new CLI commands - Improved tool configuration management Testing - Added tg-invoke-mcp-tool CLI command for isolated MCP integration testing - Enhanced agent capability to invoke multiple tools simultaneously * Test suite executed from CI pipeline (#433) * Test strategy & test cases * Unit tests * Integration tests * Extending test coverage (#434) * Contract tests * Testing embeedings * Agent unit tests * Knowledge pipeline tests * Turn on contract tests * Increase storage test coverage (#435) * Fixing storage and adding tests * PR pipeline only runs quick tests * Empty configuration is returned as empty list, previously was not in response (#436) * Update config util to take files as well as command-line text (#437) * Updated CLI invocation and config model for tools and mcp (#438) * Updated CLI invocation and config model for tools and mcp * CLI anomalies * Tweaked the MCP tool implementation for new model * Update agent implementation to match the new model * Fix agent tools, now all tested * Fixed integration tests * Fix MCP delete tool params * Update Python deps to 1.2 * Update to enable knowledge extraction using the agent framework (#439) * Implement KG extraction agent (kg-extract-agent) * Using ReAct framework (agent-manager-react) * ReAct manager had an issue when emitting JSON, which conflicts which ReAct manager's own JSON messages, so refactored ReAct manager to use traditional ReAct messages, non-JSON structure. * Minor refactor to take the prompt template client out of prompt-template so it can be more readily used by other modules. kg-extract-agent uses this framework. * Migrate from setup.py to pyproject.toml (#440) * Converted setup.py to pyproject.toml * Modern package infrastructure as recommended by py docs * Install missing build deps (#441) * Install missing build deps (#442) * Implement logging strategy (#444) * Logging strategy and convert all prints() to logging invocations * Fix/startup failure (#445) * Fix loggin startup problems * Fix logging startup problems (#446) * Fix logging startup problems (#447) * Fixed Mistral OCR to use current API (#448) * Fixed Mistral OCR to use current API * Added PDF decoder tests * Fix Mistral OCR ident to be standard pdf-decoder (#450) * Fix Mistral OCR ident to be standard pdf-decoder * Correct test * Schema structure refactor (#451) * Write schema refactor spec * Implemented schema refactor spec * Structure data mvp (#452) * Structured data tech spec * Architecture principles * New schemas * Updated schemas and specs * Object extractor * Add .coveragerc * New tests * Cassandra object storage * Trying to object extraction working, issues exist * Validate librarian collection (#453) * Fix token chunker, broken API invocation (#454) * Fix token chunker, broken API invocation (#455) * Knowledge load utility CLI (#456) * Knowledge loader * More tests
This commit is contained in:
parent
c85ba197be
commit
89be656990
509 changed files with 49632 additions and 5159 deletions
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@ -4,95 +4,62 @@ Document embeddings query service. Input is vector, output is an array
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of chunks
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"""
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import logging
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from .... direct.milvus_doc_embeddings import DocVectors
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from .... schema import DocumentEmbeddingsRequest, DocumentEmbeddingsResponse
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from .... schema import DocumentEmbeddingsResponse
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from .... schema import Error, Value
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from .... schema import document_embeddings_request_queue
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from .... schema import document_embeddings_response_queue
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from .... base import ConsumerProducer
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from .... base import DocumentEmbeddingsQueryService
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module = "de-query"
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# Module logger
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logger = logging.getLogger(__name__)
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default_input_queue = document_embeddings_request_queue
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default_output_queue = document_embeddings_response_queue
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default_subscriber = module
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default_ident = "de-query"
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default_store_uri = 'http://localhost:19530'
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class Processor(ConsumerProducer):
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class Processor(DocumentEmbeddingsQueryService):
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def __init__(self, **params):
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input_queue = params.get("input_queue", default_input_queue)
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output_queue = params.get("output_queue", default_output_queue)
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subscriber = params.get("subscriber", default_subscriber)
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store_uri = params.get("store_uri", default_store_uri)
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super(Processor, self).__init__(
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**params | {
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"input_queue": input_queue,
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"output_queue": output_queue,
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"subscriber": subscriber,
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"input_schema": DocumentEmbeddingsRequest,
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"output_schema": DocumentEmbeddingsResponse,
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"store_uri": store_uri,
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}
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)
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self.vecstore = DocVectors(store_uri)
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async def handle(self, msg):
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async def query_document_embeddings(self, msg):
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try:
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v = msg.value()
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# Sender-produced ID
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id = msg.properties()["id"]
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print(f"Handling input {id}...", flush=True)
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# Handle zero limit case
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if msg.limit <= 0:
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return []
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chunks = []
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for vec in v.vectors:
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for vec in msg.vectors:
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resp = self.vecstore.search(vec, limit=v.limit)
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resp = self.vecstore.search(vec, limit=msg.limit)
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for r in resp:
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chunk = r["entity"]["doc"]
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chunk = chunk.encode("utf-8")
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chunks.append(chunk)
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print("Send response...", flush=True)
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r = DocumentEmbeddingsResponse(documents=chunks, error=None)
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await self.send(r, properties={"id": id})
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print("Done.", flush=True)
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return chunks
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except Exception as e:
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print(f"Exception: {e}")
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print("Send error response...", flush=True)
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r = DocumentEmbeddingsResponse(
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error=Error(
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type = "llm-error",
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message = str(e),
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),
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documents=None,
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)
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await self.send(r, properties={"id": id})
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self.consumer.acknowledge(msg)
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logger.error(f"Exception querying document embeddings: {e}", exc_info=True)
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raise e
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@staticmethod
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def add_args(parser):
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ConsumerProducer.add_args(
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parser, default_input_queue, default_subscriber,
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default_output_queue,
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)
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DocumentEmbeddingsQueryService.add_args(parser)
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parser.add_argument(
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'-t', '--store-uri',
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@ -102,5 +69,5 @@ class Processor(ConsumerProducer):
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def run():
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Processor.launch(module, __doc__)
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Processor.launch(default_ident, __doc__)
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@ -4,36 +4,31 @@ Document embeddings query service. Input is vector, output is an array
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of chunks. Pinecone implementation.
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"""
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from pinecone import Pinecone, ServerlessSpec
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from pinecone.grpc import PineconeGRPC, GRPCClientConfig
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import logging
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import uuid
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import os
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from .... schema import DocumentEmbeddingsRequest, DocumentEmbeddingsResponse
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from .... schema import Error, Value
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from .... schema import document_embeddings_request_queue
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from .... schema import document_embeddings_response_queue
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from .... base import ConsumerProducer
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from pinecone import Pinecone, ServerlessSpec
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from pinecone.grpc import PineconeGRPC, GRPCClientConfig
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module = "de-query"
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from .... base import DocumentEmbeddingsQueryService
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default_input_queue = document_embeddings_request_queue
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default_output_queue = document_embeddings_response_queue
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default_subscriber = module
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# Module logger
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logger = logging.getLogger(__name__)
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default_ident = "de-query"
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default_api_key = os.getenv("PINECONE_API_KEY", "not-specified")
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class Processor(ConsumerProducer):
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class Processor(DocumentEmbeddingsQueryService):
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def __init__(self, **params):
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input_queue = params.get("input_queue", default_input_queue)
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output_queue = params.get("output_queue", default_output_queue)
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subscriber = params.get("subscriber", default_subscriber)
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self.url = params.get("url", None)
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self.api_key = params.get("api_key", default_api_key)
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if self.api_key is None or self.api_key == "not-specified":
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raise RuntimeError("Pinecone API key must be specified")
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if self.url:
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self.pinecone = PineconeGRPC(
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super(Processor, self).__init__(
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**params | {
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"input_queue": input_queue,
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"output_queue": output_queue,
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"subscriber": subscriber,
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"input_schema": DocumentEmbeddingsRequest,
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"output_schema": DocumentEmbeddingsResponse,
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"url": self.url,
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"api_key": self.api_key,
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}
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)
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async def handle(self, msg):
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async def query_document_embeddings(self, msg):
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try:
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v = msg.value()
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# Sender-produced ID
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id = msg.properties()["id"]
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print(f"Handling input {id}...", flush=True)
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# Handle zero limit case
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if msg.limit <= 0:
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return []
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chunks = []
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for vec in v.vectors:
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for vec in msg.vectors:
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dim = len(vec)
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index_name = (
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"d-" + v.user + "-" + str(dim)
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"d-" + msg.user + "-" + msg.collection + "-" + str(dim)
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)
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index = self.pinecone.Index(index_name)
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results = index.query(
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namespace=v.collection,
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vector=vec,
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top_k=v.limit,
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top_k=msg.limit,
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include_values=False,
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include_metadata=True
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)
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search_result = self.client.query_points(
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collection_name=collection,
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query=vec,
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limit=v.limit,
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with_payload=True,
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).points
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for r in results.matches:
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doc = r.metadata["doc"]
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chunks.add(doc)
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chunks.append(doc)
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print("Send response...", flush=True)
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r = DocumentEmbeddingsResponse(documents=chunks, error=None)
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await self.send(r, properties={"id": id})
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print("Done.", flush=True)
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return chunks
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except Exception as e:
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print(f"Exception: {e}")
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print("Send error response...", flush=True)
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r = DocumentEmbeddingsResponse(
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error=Error(
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type = "llm-error",
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message = str(e),
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),
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documents=None,
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)
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await self.send(r, properties={"id": id})
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self.consumer.acknowledge(msg)
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logger.error(f"Exception querying document embeddings: {e}", exc_info=True)
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raise e
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@staticmethod
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def add_args(parser):
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ConsumerProducer.add_args(
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parser, default_input_queue, default_subscriber,
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default_output_queue,
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)
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DocumentEmbeddingsQueryService.add_args(parser)
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parser.add_argument(
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'-a', '--api-key',
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@ -143,5 +103,5 @@ class Processor(ConsumerProducer):
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def run():
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Processor.launch(module, __doc__)
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Processor.launch(default_ident, __doc__)
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@ -4,6 +4,8 @@ Document embeddings query service. Input is vector, output is an array
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of chunks
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"""
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import logging
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from qdrant_client import QdrantClient
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from qdrant_client.models import PointStruct
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from qdrant_client.models import Distance, VectorParams
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@ -12,6 +14,9 @@ from .... schema import DocumentEmbeddingsResponse
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from .... schema import Error, Value
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from .... base import DocumentEmbeddingsQueryService
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# Module logger
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logger = logging.getLogger(__name__)
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default_ident = "de-query"
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default_store_uri = 'http://localhost:6333'
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except Exception as e:
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print(f"Exception: {e}")
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logger.error(f"Exception querying document embeddings: {e}", exc_info=True)
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raise e
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@staticmethod
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@ -4,36 +4,27 @@ Graph embeddings query service. Input is vector, output is list of
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entities
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"""
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import logging
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from .... direct.milvus_graph_embeddings import EntityVectors
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from .... schema import GraphEmbeddingsRequest, GraphEmbeddingsResponse
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from .... schema import GraphEmbeddingsResponse
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from .... schema import Error, Value
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from .... schema import graph_embeddings_request_queue
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from .... schema import graph_embeddings_response_queue
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from .... base import ConsumerProducer
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from .... base import GraphEmbeddingsQueryService
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module = "ge-query"
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# Module logger
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logger = logging.getLogger(__name__)
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default_input_queue = graph_embeddings_request_queue
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default_output_queue = graph_embeddings_response_queue
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default_subscriber = module
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default_ident = "ge-query"
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default_store_uri = 'http://localhost:19530'
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class Processor(ConsumerProducer):
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class Processor(GraphEmbeddingsQueryService):
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def __init__(self, **params):
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input_queue = params.get("input_queue", default_input_queue)
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output_queue = params.get("output_queue", default_output_queue)
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subscriber = params.get("subscriber", default_subscriber)
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store_uri = params.get("store_uri", default_store_uri)
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super(Processor, self).__init__(
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**params | {
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"input_queue": input_queue,
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"output_queue": output_queue,
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"subscriber": subscriber,
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"input_schema": GraphEmbeddingsRequest,
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"output_schema": GraphEmbeddingsResponse,
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"store_uri": store_uri,
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}
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)
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@ -46,29 +37,34 @@ class Processor(ConsumerProducer):
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else:
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return Value(value=ent, is_uri=False)
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async def handle(self, msg):
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async def query_graph_embeddings(self, msg):
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try:
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v = msg.value()
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entity_set = set()
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entities = []
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# Sender-produced ID
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id = msg.properties()["id"]
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# Handle zero limit case
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if msg.limit <= 0:
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return []
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print(f"Handling input {id}...", flush=True)
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for vec in msg.vectors:
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entities = set()
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for vec in v.vectors:
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resp = self.vecstore.search(vec, limit=v.limit)
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resp = self.vecstore.search(vec, limit=msg.limit * 2)
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for r in resp:
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ent = r["entity"]["entity"]
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entities.add(ent)
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# De-dupe entities
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if ent not in entity_set:
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entity_set.add(ent)
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entities.append(ent)
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# Convert set to list
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entities = list(entities)
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# Keep adding entities until limit
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if len(entity_set) >= msg.limit: break
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# Keep adding entities until limit
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if len(entity_set) >= msg.limit: break
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ents2 = []
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@ -77,37 +73,18 @@ class Processor(ConsumerProducer):
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entities = ents2
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print("Send response...", flush=True)
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r = GraphEmbeddingsResponse(entities=entities, error=None)
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await self.send(r, properties={"id": id})
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print("Done.", flush=True)
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logger.debug("Send response...")
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return entities
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except Exception as e:
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print(f"Exception: {e}")
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print("Send error response...", flush=True)
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r = GraphEmbeddingsResponse(
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error=Error(
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type = "llm-error",
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message = str(e),
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),
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entities=None,
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)
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await self.send(r, properties={"id": id})
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self.consumer.acknowledge(msg)
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logger.error(f"Exception querying graph embeddings: {e}", exc_info=True)
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raise e
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@staticmethod
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def add_args(parser):
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ConsumerProducer.add_args(
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parser, default_input_queue, default_subscriber,
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default_output_queue,
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)
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GraphEmbeddingsQueryService.add_args(parser)
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|
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parser.add_argument(
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'-t', '--store-uri',
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|
|
@ -117,5 +94,5 @@ class Processor(ConsumerProducer):
|
|||
|
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def run():
|
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|
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Processor.launch(module, __doc__)
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Processor.launch(default_ident, __doc__)
|
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|
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|
|
|
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|
|
@ -4,36 +4,33 @@ Graph embeddings query service. Input is vector, output is list of
|
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entities. Pinecone implementation.
|
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"""
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|
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from pinecone import Pinecone, ServerlessSpec
|
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from pinecone.grpc import PineconeGRPC, GRPCClientConfig
|
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|
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import logging
|
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import uuid
|
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import os
|
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|
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from .... schema import GraphEmbeddingsRequest, GraphEmbeddingsResponse
|
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from pinecone import Pinecone, ServerlessSpec
|
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from pinecone.grpc import PineconeGRPC, GRPCClientConfig
|
||||
|
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from .... schema import GraphEmbeddingsResponse
|
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from .... schema import Error, Value
|
||||
from .... schema import graph_embeddings_request_queue
|
||||
from .... schema import graph_embeddings_response_queue
|
||||
from .... base import ConsumerProducer
|
||||
from .... base import GraphEmbeddingsQueryService
|
||||
|
||||
module = "ge-query"
|
||||
# Module logger
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
default_input_queue = graph_embeddings_request_queue
|
||||
default_output_queue = graph_embeddings_response_queue
|
||||
default_subscriber = module
|
||||
default_ident = "ge-query"
|
||||
default_api_key = os.getenv("PINECONE_API_KEY", "not-specified")
|
||||
|
||||
class Processor(ConsumerProducer):
|
||||
class Processor(GraphEmbeddingsQueryService):
|
||||
|
||||
def __init__(self, **params):
|
||||
|
||||
input_queue = params.get("input_queue", default_input_queue)
|
||||
output_queue = params.get("output_queue", default_output_queue)
|
||||
subscriber = params.get("subscriber", default_subscriber)
|
||||
|
||||
self.url = params.get("url", None)
|
||||
self.api_key = params.get("api_key", default_api_key)
|
||||
|
||||
if self.api_key is None or self.api_key == "not-specified":
|
||||
raise RuntimeError("Pinecone API key must be specified")
|
||||
|
||||
if self.url:
|
||||
|
||||
self.pinecone = PineconeGRPC(
|
||||
|
|
@ -47,12 +44,8 @@ class Processor(ConsumerProducer):
|
|||
|
||||
super(Processor, self).__init__(
|
||||
**params | {
|
||||
"input_queue": input_queue,
|
||||
"output_queue": output_queue,
|
||||
"subscriber": subscriber,
|
||||
"input_schema": GraphEmbeddingsRequest,
|
||||
"output_schema": GraphEmbeddingsResponse,
|
||||
"url": self.url,
|
||||
"api_key": self.api_key,
|
||||
}
|
||||
)
|
||||
|
||||
|
|
@ -62,26 +55,23 @@ class Processor(ConsumerProducer):
|
|||
else:
|
||||
return Value(value=ent, is_uri=False)
|
||||
|
||||
async def handle(self, msg):
|
||||
async def query_graph_embeddings(self, msg):
|
||||
|
||||
try:
|
||||
|
||||
v = msg.value()
|
||||
|
||||
# Sender-produced ID
|
||||
id = msg.properties()["id"]
|
||||
|
||||
print(f"Handling input {id}...", flush=True)
|
||||
# Handle zero limit case
|
||||
if msg.limit <= 0:
|
||||
return []
|
||||
|
||||
entity_set = set()
|
||||
entities = []
|
||||
|
||||
for vec in v.vectors:
|
||||
for vec in msg.vectors:
|
||||
|
||||
dim = len(vec)
|
||||
|
||||
index_name = (
|
||||
"t-" + v.user + "-" + str(dim)
|
||||
"t-" + msg.user + "-" + msg.collection + "-" + str(dim)
|
||||
)
|
||||
|
||||
index = self.pinecone.Index(index_name)
|
||||
|
|
@ -89,9 +79,8 @@ class Processor(ConsumerProducer):
|
|||
# Heuristic hack, get (2*limit), so that we have more chance
|
||||
# of getting (limit) entities
|
||||
results = index.query(
|
||||
namespace=v.collection,
|
||||
vector=vec,
|
||||
top_k=v.limit * 2,
|
||||
top_k=msg.limit * 2,
|
||||
include_values=False,
|
||||
include_metadata=True
|
||||
)
|
||||
|
|
@ -106,10 +95,10 @@ class Processor(ConsumerProducer):
|
|||
entities.append(ent)
|
||||
|
||||
# Keep adding entities until limit
|
||||
if len(entity_set) >= v.limit: break
|
||||
if len(entity_set) >= msg.limit: break
|
||||
|
||||
# Keep adding entities until limit
|
||||
if len(entity_set) >= v.limit: break
|
||||
if len(entity_set) >= msg.limit: break
|
||||
|
||||
ents2 = []
|
||||
|
||||
|
|
@ -118,37 +107,17 @@ class Processor(ConsumerProducer):
|
|||
|
||||
entities = ents2
|
||||
|
||||
print("Send response...", flush=True)
|
||||
r = GraphEmbeddingsResponse(entities=entities, error=None)
|
||||
await self.send(r, properties={"id": id})
|
||||
|
||||
print("Done.", flush=True)
|
||||
return entities
|
||||
|
||||
except Exception as e:
|
||||
|
||||
print(f"Exception: {e}")
|
||||
|
||||
print("Send error response...", flush=True)
|
||||
|
||||
r = GraphEmbeddingsResponse(
|
||||
error=Error(
|
||||
type = "llm-error",
|
||||
message = str(e),
|
||||
),
|
||||
entities=None,
|
||||
)
|
||||
|
||||
await self.send(r, properties={"id": id})
|
||||
|
||||
self.consumer.acknowledge(msg)
|
||||
logger.error(f"Exception querying graph embeddings: {e}", exc_info=True)
|
||||
raise e
|
||||
|
||||
@staticmethod
|
||||
def add_args(parser):
|
||||
|
||||
ConsumerProducer.add_args(
|
||||
parser, default_input_queue, default_subscriber,
|
||||
default_output_queue,
|
||||
)
|
||||
GraphEmbeddingsQueryService.add_args(parser)
|
||||
|
||||
parser.add_argument(
|
||||
'-a', '--api-key',
|
||||
|
|
@ -163,5 +132,5 @@ class Processor(ConsumerProducer):
|
|||
|
||||
def run():
|
||||
|
||||
Processor.launch(module, __doc__)
|
||||
Processor.launch(default_ident, __doc__)
|
||||
|
||||
|
|
|
|||
|
|
@ -4,6 +4,8 @@ Graph embeddings query service. Input is vector, output is list of
|
|||
entities
|
||||
"""
|
||||
|
||||
import logging
|
||||
|
||||
from qdrant_client import QdrantClient
|
||||
from qdrant_client.models import PointStruct
|
||||
from qdrant_client.models import Distance, VectorParams
|
||||
|
|
@ -12,6 +14,9 @@ from .... schema import GraphEmbeddingsResponse
|
|||
from .... schema import Error, Value
|
||||
from .... base import GraphEmbeddingsQueryService
|
||||
|
||||
# Module logger
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
default_ident = "ge-query"
|
||||
|
||||
default_store_uri = 'http://localhost:6333'
|
||||
|
|
@ -85,14 +90,12 @@ class Processor(GraphEmbeddingsQueryService):
|
|||
|
||||
entities = ents2
|
||||
|
||||
print("Send response...", flush=True)
|
||||
logger.debug("Send response...")
|
||||
return entities
|
||||
|
||||
print("Done.", flush=True)
|
||||
|
||||
except Exception as e:
|
||||
|
||||
print(f"Exception: {e}")
|
||||
logger.error(f"Exception querying graph embeddings: {e}", exc_info=True)
|
||||
raise e
|
||||
|
||||
@staticmethod
|
||||
|
|
|
|||
|
|
@ -4,11 +4,16 @@ Triples query service. Input is a (s, p, o) triple, some values may be
|
|||
null. Output is a list of triples.
|
||||
"""
|
||||
|
||||
import logging
|
||||
|
||||
from .... direct.cassandra import TrustGraph
|
||||
from .... schema import TriplesQueryRequest, TriplesQueryResponse, Error
|
||||
from .... schema import Value, Triple
|
||||
from .... base import TriplesQueryService
|
||||
|
||||
# Module logger
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
default_ident = "triples-query"
|
||||
|
||||
default_graph_host='localhost'
|
||||
|
|
@ -135,7 +140,7 @@ class Processor(TriplesQueryService):
|
|||
|
||||
except Exception as e:
|
||||
|
||||
print(f"Exception: {e}")
|
||||
logger.error(f"Exception querying triples: {e}", exc_info=True)
|
||||
raise e
|
||||
|
||||
@staticmethod
|
||||
|
|
|
|||
|
|
@ -5,41 +5,33 @@ Input is a (s, p, o) triple, some values may be null. Output is a list of
|
|||
triples.
|
||||
"""
|
||||
|
||||
import logging
|
||||
|
||||
from falkordb import FalkorDB
|
||||
|
||||
from .... schema import TriplesQueryRequest, TriplesQueryResponse, Error
|
||||
from .... schema import Value, Triple
|
||||
from .... schema import triples_request_queue
|
||||
from .... schema import triples_response_queue
|
||||
from .... base import ConsumerProducer
|
||||
from .... base import TriplesQueryService
|
||||
|
||||
module = "triples-query"
|
||||
# Module logger
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
default_input_queue = triples_request_queue
|
||||
default_output_queue = triples_response_queue
|
||||
default_subscriber = module
|
||||
default_ident = "triples-query"
|
||||
|
||||
default_graph_url = 'falkor://falkordb:6379'
|
||||
default_database = 'falkordb'
|
||||
|
||||
class Processor(ConsumerProducer):
|
||||
class Processor(TriplesQueryService):
|
||||
|
||||
def __init__(self, **params):
|
||||
|
||||
input_queue = params.get("input_queue", default_input_queue)
|
||||
output_queue = params.get("output_queue", default_output_queue)
|
||||
subscriber = params.get("subscriber", default_subscriber)
|
||||
graph_url = params.get("graph_host", default_graph_url)
|
||||
graph_url = params.get("graph_url", default_graph_url)
|
||||
database = params.get("database", default_database)
|
||||
|
||||
super(Processor, self).__init__(
|
||||
**params | {
|
||||
"input_queue": input_queue,
|
||||
"output_queue": output_queue,
|
||||
"subscriber": subscriber,
|
||||
"input_schema": TriplesQueryRequest,
|
||||
"output_schema": TriplesQueryResponse,
|
||||
"graph_url": graph_url,
|
||||
"database": database,
|
||||
}
|
||||
)
|
||||
|
||||
|
|
@ -54,50 +46,45 @@ class Processor(ConsumerProducer):
|
|||
else:
|
||||
return Value(value=ent, is_uri=False)
|
||||
|
||||
async def handle(self, msg):
|
||||
async def query_triples(self, query):
|
||||
|
||||
try:
|
||||
|
||||
v = msg.value()
|
||||
|
||||
# Sender-produced ID
|
||||
id = msg.properties()["id"]
|
||||
|
||||
print(f"Handling input {id}...", flush=True)
|
||||
|
||||
triples = []
|
||||
|
||||
if v.s is not None:
|
||||
if v.p is not None:
|
||||
if v.o is not None:
|
||||
if query.s is not None:
|
||||
if query.p is not None:
|
||||
if query.o is not None:
|
||||
|
||||
# SPO
|
||||
|
||||
records = self.io.query(
|
||||
"MATCH (src:Node {uri: $src})-[rel:Rel {uri: $rel}]->(dest:Literal {value: $value}) "
|
||||
"RETURN $src as src",
|
||||
"RETURN $src as src "
|
||||
"LIMIT " + str(query.limit),
|
||||
params={
|
||||
"src": v.s.value,
|
||||
"rel": v.p.value,
|
||||
"value": v.o.value,
|
||||
"src": query.s.value,
|
||||
"rel": query.p.value,
|
||||
"value": query.o.value,
|
||||
},
|
||||
).result_set
|
||||
|
||||
for rec in records:
|
||||
triples.append((v.s.value, v.p.value, v.o.value))
|
||||
triples.append((query.s.value, query.p.value, query.o.value))
|
||||
|
||||
records = self.io.query(
|
||||
"MATCH (src:Node {uri: $src})-[rel:Rel {uri: $rel}]->(dest:Node {uri: $uri}) "
|
||||
"RETURN $src as src",
|
||||
"RETURN $src as src "
|
||||
"LIMIT " + str(query.limit),
|
||||
params={
|
||||
"src": v.s.value,
|
||||
"rel": v.p.value,
|
||||
"uri": v.o.value,
|
||||
"src": query.s.value,
|
||||
"rel": query.p.value,
|
||||
"uri": query.o.value,
|
||||
},
|
||||
).result_set
|
||||
|
||||
for rec in records:
|
||||
triples.append((v.s.value, v.p.value, v.o.value))
|
||||
triples.append((query.s.value, query.p.value, query.o.value))
|
||||
|
||||
else:
|
||||
|
||||
|
|
@ -105,116 +92,124 @@ class Processor(ConsumerProducer):
|
|||
|
||||
records = self.io.query(
|
||||
"MATCH (src:Node {uri: $src})-[rel:Rel {uri: $rel}]->(dest:Literal) "
|
||||
"RETURN dest.value as dest",
|
||||
"RETURN dest.value as dest "
|
||||
"LIMIT " + str(query.limit),
|
||||
params={
|
||||
"src": v.s.value,
|
||||
"rel": v.p.value,
|
||||
"src": query.s.value,
|
||||
"rel": query.p.value,
|
||||
},
|
||||
).result_set
|
||||
|
||||
for rec in records:
|
||||
triples.append((v.s.value, v.p.value, rec[0]))
|
||||
triples.append((query.s.value, query.p.value, rec[0]))
|
||||
|
||||
records = self.io.query(
|
||||
"MATCH (src:Node {uri: $src})-[rel:Rel {uri: $rel}]->(dest:Node) "
|
||||
"RETURN dest.uri as dest",
|
||||
"RETURN dest.uri as dest "
|
||||
"LIMIT " + str(query.limit),
|
||||
params={
|
||||
"src": v.s.value,
|
||||
"rel": v.p.value,
|
||||
"src": query.s.value,
|
||||
"rel": query.p.value,
|
||||
},
|
||||
).result_set
|
||||
|
||||
for rec in records:
|
||||
triples.append((v.s.value, v.p.value, rec[0]))
|
||||
triples.append((query.s.value, query.p.value, rec[0]))
|
||||
|
||||
else:
|
||||
|
||||
if v.o is not None:
|
||||
if query.o is not None:
|
||||
|
||||
# SO
|
||||
|
||||
records = self.io.query(
|
||||
"MATCH (src:Node {uri: $src})-[rel:Rel]->(dest:Literal {value: $value}) "
|
||||
"RETURN rel.uri as rel",
|
||||
"RETURN rel.uri as rel "
|
||||
"LIMIT " + str(query.limit),
|
||||
params={
|
||||
"src": v.s.value,
|
||||
"value": v.o.value,
|
||||
"src": query.s.value,
|
||||
"value": query.o.value,
|
||||
},
|
||||
).result_set
|
||||
|
||||
for rec in records:
|
||||
triples.append((v.s.value, rec[0], v.o.value))
|
||||
triples.append((query.s.value, rec[0], query.o.value))
|
||||
|
||||
records = self.io.query(
|
||||
"MATCH (src:Node {uri: $src})-[rel:Rel]->(dest:Node {uri: $uri}) "
|
||||
"RETURN rel.uri as rel",
|
||||
"RETURN rel.uri as rel "
|
||||
"LIMIT " + str(query.limit),
|
||||
params={
|
||||
"src": v.s.value,
|
||||
"uri": v.o.value,
|
||||
"src": query.s.value,
|
||||
"uri": query.o.value,
|
||||
},
|
||||
).result_set
|
||||
|
||||
for rec in records:
|
||||
triples.append((v.s.value, rec[0], v.o.value))
|
||||
triples.append((query.s.value, rec[0], query.o.value))
|
||||
|
||||
else:
|
||||
|
||||
# s
|
||||
|
||||
records = self.io.query(
|
||||
"match (src:node {uri: $src})-[rel:rel]->(dest:literal) "
|
||||
"return rel.uri as rel, dest.value as dest",
|
||||
"MATCH (src:Node {uri: $src})-[rel:Rel]->(dest:Literal) "
|
||||
"RETURN rel.uri as rel, dest.value as dest "
|
||||
"LIMIT " + str(query.limit),
|
||||
params={
|
||||
"src": v.s.value,
|
||||
"src": query.s.value,
|
||||
},
|
||||
).result_set
|
||||
|
||||
for rec in records:
|
||||
triples.append((v.s.value, rec[0], rec[1]))
|
||||
triples.append((query.s.value, rec[0], rec[1]))
|
||||
|
||||
records = self.io.query(
|
||||
"MATCH (src:Node {uri: $src})-[rel:Rel]->(dest:Node) "
|
||||
"RETURN rel.uri as rel, dest.uri as dest",
|
||||
"RETURN rel.uri as rel, dest.uri as dest "
|
||||
"LIMIT " + str(query.limit),
|
||||
params={
|
||||
"src": v.s.value,
|
||||
"src": query.s.value,
|
||||
},
|
||||
).result_set
|
||||
|
||||
for rec in records:
|
||||
triples.append((v.s.value, rec[0], rec[1]))
|
||||
triples.append((query.s.value, rec[0], rec[1]))
|
||||
|
||||
|
||||
else:
|
||||
|
||||
if v.p is not None:
|
||||
if query.p is not None:
|
||||
|
||||
if v.o is not None:
|
||||
if query.o is not None:
|
||||
|
||||
# PO
|
||||
|
||||
records = self.io.query(
|
||||
"MATCH (src:Node)-[rel:Rel {uri: $uri}]->(dest:Literal {value: $value}) "
|
||||
"RETURN src.uri as src",
|
||||
"RETURN src.uri as src "
|
||||
"LIMIT " + str(query.limit),
|
||||
params={
|
||||
"uri": v.p.value,
|
||||
"value": v.o.value,
|
||||
"uri": query.p.value,
|
||||
"value": query.o.value,
|
||||
},
|
||||
).result_set
|
||||
|
||||
for rec in records:
|
||||
triples.append((rec[0], v.p.value, v.o.value))
|
||||
triples.append((rec[0], query.p.value, query.o.value))
|
||||
|
||||
records = self.io.query(
|
||||
"MATCH (src:Node)-[rel:Rel {uri: $uri}]->(dest:Node {uri: $uri}) "
|
||||
"RETURN src.uri as src",
|
||||
"MATCH (src:Node)-[rel:Rel {uri: $uri}]->(dest:Node {uri: $dest}) "
|
||||
"RETURN src.uri as src "
|
||||
"LIMIT " + str(query.limit),
|
||||
params={
|
||||
"uri": v.p.value,
|
||||
"dest": v.o.value,
|
||||
"uri": query.p.value,
|
||||
"dest": query.o.value,
|
||||
},
|
||||
).result_set
|
||||
|
||||
for rec in records:
|
||||
triples.append((rec[0], v.p.value, v.o.value))
|
||||
triples.append((rec[0], query.p.value, query.o.value))
|
||||
|
||||
else:
|
||||
|
||||
|
|
@ -222,53 +217,57 @@ class Processor(ConsumerProducer):
|
|||
|
||||
records = self.io.query(
|
||||
"MATCH (src:Node)-[rel:Rel {uri: $uri}]->(dest:Literal) "
|
||||
"RETURN src.uri as src, dest.value as dest",
|
||||
"RETURN src.uri as src, dest.value as dest "
|
||||
"LIMIT " + str(query.limit),
|
||||
params={
|
||||
"uri": v.p.value,
|
||||
"uri": query.p.value,
|
||||
},
|
||||
).result_set
|
||||
|
||||
for rec in records:
|
||||
triples.append((rec[0], v.p.value, rec[1]))
|
||||
triples.append((rec[0], query.p.value, rec[1]))
|
||||
|
||||
records = self.io.query(
|
||||
"MATCH (src:Node)-[rel:Rel {uri: $uri}]->(dest:Node) "
|
||||
"RETURN src.uri as src, dest.uri as dest",
|
||||
"RETURN src.uri as src, dest.uri as dest "
|
||||
"LIMIT " + str(query.limit),
|
||||
params={
|
||||
"uri": v.p.value,
|
||||
"uri": query.p.value,
|
||||
},
|
||||
).result_set
|
||||
|
||||
for rec in records:
|
||||
triples.append((rec[0], v.p.value, rec[1]))
|
||||
triples.append((rec[0], query.p.value, rec[1]))
|
||||
|
||||
else:
|
||||
|
||||
if v.o is not None:
|
||||
if query.o is not None:
|
||||
|
||||
# O
|
||||
|
||||
records = self.io.query(
|
||||
"MATCH (src:Node)-[rel:Rel]->(dest:Literal {value: $value}) "
|
||||
"RETURN src.uri as src, rel.uri as rel",
|
||||
"RETURN src.uri as src, rel.uri as rel "
|
||||
"LIMIT " + str(query.limit),
|
||||
params={
|
||||
"value": v.o.value,
|
||||
"value": query.o.value,
|
||||
},
|
||||
).result_set
|
||||
|
||||
for rec in records:
|
||||
triples.append((rec[0], rec[1], v.o.value))
|
||||
triples.append((rec[0], rec[1], query.o.value))
|
||||
|
||||
records = self.io.query(
|
||||
"MATCH (src:Node)-[rel:Rel]->(dest:Node {uri: $uri}) "
|
||||
"RETURN src.uri as src, rel.uri as rel",
|
||||
"RETURN src.uri as src, rel.uri as rel "
|
||||
"LIMIT " + str(query.limit),
|
||||
params={
|
||||
"uri": v.o.value,
|
||||
"uri": query.o.value,
|
||||
},
|
||||
).result_set
|
||||
|
||||
for rec in records:
|
||||
triples.append((rec[0], rec[1], v.o.value))
|
||||
triples.append((rec[0], rec[1], query.o.value))
|
||||
|
||||
else:
|
||||
|
||||
|
|
@ -276,7 +275,8 @@ class Processor(ConsumerProducer):
|
|||
|
||||
records = self.io.query(
|
||||
"MATCH (src:Node)-[rel:Rel]->(dest:Literal) "
|
||||
"RETURN src.uri as src, rel.uri as rel, dest.value as dest",
|
||||
"RETURN src.uri as src, rel.uri as rel, dest.value as dest "
|
||||
"LIMIT " + str(query.limit),
|
||||
).result_set
|
||||
|
||||
for rec in records:
|
||||
|
|
@ -284,7 +284,8 @@ class Processor(ConsumerProducer):
|
|||
|
||||
records = self.io.query(
|
||||
"MATCH (src:Node)-[rel:Rel]->(dest:Node) "
|
||||
"RETURN src.uri as src, rel.uri as rel, dest.uri as dest",
|
||||
"RETURN src.uri as src, rel.uri as rel, dest.uri as dest "
|
||||
"LIMIT " + str(query.limit),
|
||||
).result_set
|
||||
|
||||
for rec in records:
|
||||
|
|
@ -296,40 +297,20 @@ class Processor(ConsumerProducer):
|
|||
p=self.create_value(t[1]),
|
||||
o=self.create_value(t[2])
|
||||
)
|
||||
for t in triples
|
||||
for t in triples[:query.limit]
|
||||
]
|
||||
|
||||
print("Send response...", flush=True)
|
||||
r = TriplesQueryResponse(triples=triples, error=None)
|
||||
await self.send(r, properties={"id": id})
|
||||
|
||||
print("Done.", flush=True)
|
||||
return triples
|
||||
|
||||
except Exception as e:
|
||||
|
||||
print(f"Exception: {e}")
|
||||
|
||||
print("Send error response...", flush=True)
|
||||
|
||||
r = TriplesQueryResponse(
|
||||
error=Error(
|
||||
type = "llm-error",
|
||||
message = str(e),
|
||||
),
|
||||
response=None,
|
||||
)
|
||||
|
||||
await self.send(r, properties={"id": id})
|
||||
|
||||
self.consumer.acknowledge(msg)
|
||||
logger.error(f"Exception querying triples: {e}", exc_info=True)
|
||||
raise e
|
||||
|
||||
@staticmethod
|
||||
def add_args(parser):
|
||||
|
||||
ConsumerProducer.add_args(
|
||||
parser, default_input_queue, default_subscriber,
|
||||
default_output_queue,
|
||||
)
|
||||
TriplesQueryService.add_args(parser)
|
||||
|
||||
parser.add_argument(
|
||||
'-g', '--graph-url',
|
||||
|
|
@ -345,5 +326,5 @@ class Processor(ConsumerProducer):
|
|||
|
||||
def run():
|
||||
|
||||
Processor.launch(module, __doc__)
|
||||
Processor.launch(default_ident, __doc__)
|
||||
|
||||
|
|
|
|||
|
|
@ -5,32 +5,28 @@ Input is a (s, p, o) triple, some values may be null. Output is a list of
|
|||
triples.
|
||||
"""
|
||||
|
||||
import logging
|
||||
|
||||
from neo4j import GraphDatabase
|
||||
|
||||
from .... schema import TriplesQueryRequest, TriplesQueryResponse, Error
|
||||
from .... schema import Value, Triple
|
||||
from .... schema import triples_request_queue
|
||||
from .... schema import triples_response_queue
|
||||
from .... base import ConsumerProducer
|
||||
from .... base import TriplesQueryService
|
||||
|
||||
module = "triples-query"
|
||||
# Module logger
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
default_input_queue = triples_request_queue
|
||||
default_output_queue = triples_response_queue
|
||||
default_subscriber = module
|
||||
default_ident = "triples-query"
|
||||
|
||||
default_graph_host = 'bolt://memgraph:7687'
|
||||
default_username = 'memgraph'
|
||||
default_password = 'password'
|
||||
default_database = 'memgraph'
|
||||
|
||||
class Processor(ConsumerProducer):
|
||||
class Processor(TriplesQueryService):
|
||||
|
||||
def __init__(self, **params):
|
||||
|
||||
input_queue = params.get("input_queue", default_input_queue)
|
||||
output_queue = params.get("output_queue", default_output_queue)
|
||||
subscriber = params.get("subscriber", default_subscriber)
|
||||
graph_host = params.get("graph_host", default_graph_host)
|
||||
username = params.get("username", default_username)
|
||||
password = params.get("password", default_password)
|
||||
|
|
@ -38,12 +34,9 @@ class Processor(ConsumerProducer):
|
|||
|
||||
super(Processor, self).__init__(
|
||||
**params | {
|
||||
"input_queue": input_queue,
|
||||
"output_queue": output_queue,
|
||||
"subscriber": subscriber,
|
||||
"input_schema": TriplesQueryRequest,
|
||||
"output_schema": TriplesQueryResponse,
|
||||
"graph_host": graph_host,
|
||||
"username": username,
|
||||
"database": database,
|
||||
}
|
||||
)
|
||||
|
||||
|
|
@ -58,46 +51,39 @@ class Processor(ConsumerProducer):
|
|||
else:
|
||||
return Value(value=ent, is_uri=False)
|
||||
|
||||
async def handle(self, msg):
|
||||
async def query_triples(self, query):
|
||||
|
||||
try:
|
||||
|
||||
v = msg.value()
|
||||
|
||||
# Sender-produced ID
|
||||
id = msg.properties()["id"]
|
||||
|
||||
print(f"Handling input {id}...", flush=True)
|
||||
|
||||
triples = []
|
||||
|
||||
if v.s is not None:
|
||||
if v.p is not None:
|
||||
if v.o is not None:
|
||||
if query.s is not None:
|
||||
if query.p is not None:
|
||||
if query.o is not None:
|
||||
|
||||
# SPO
|
||||
|
||||
records, summary, keys = self.io.execute_query(
|
||||
"MATCH (src:Node {uri: $src})-[rel:Rel {uri: $rel}]->(dest:Literal {value: $value}) "
|
||||
"RETURN $src as src "
|
||||
"LIMIT " + str(v.limit),
|
||||
src=v.s.value, rel=v.p.value, value=v.o.value,
|
||||
"LIMIT " + str(query.limit),
|
||||
src=query.s.value, rel=query.p.value, value=query.o.value,
|
||||
database_=self.db,
|
||||
)
|
||||
|
||||
for rec in records:
|
||||
triples.append((v.s.value, v.p.value, v.o.value))
|
||||
triples.append((query.s.value, query.p.value, query.o.value))
|
||||
|
||||
records, summary, keys = self.io.execute_query(
|
||||
"MATCH (src:Node {uri: $src})-[rel:Rel {uri: $rel}]->(dest:Node {uri: $uri}) "
|
||||
"RETURN $src as src "
|
||||
"LIMIT " + str(v.limit),
|
||||
src=v.s.value, rel=v.p.value, uri=v.o.value,
|
||||
"LIMIT " + str(query.limit),
|
||||
src=query.s.value, rel=query.p.value, uri=query.o.value,
|
||||
database_=self.db,
|
||||
)
|
||||
|
||||
for rec in records:
|
||||
triples.append((v.s.value, v.p.value, v.o.value))
|
||||
triples.append((query.s.value, query.p.value, query.o.value))
|
||||
|
||||
else:
|
||||
|
||||
|
|
@ -106,56 +92,56 @@ class Processor(ConsumerProducer):
|
|||
records, summary, keys = self.io.execute_query(
|
||||
"MATCH (src:Node {uri: $src})-[rel:Rel {uri: $rel}]->(dest:Literal) "
|
||||
"RETURN dest.value as dest "
|
||||
"LIMIT " + str(v.limit),
|
||||
src=v.s.value, rel=v.p.value,
|
||||
"LIMIT " + str(query.limit),
|
||||
src=query.s.value, rel=query.p.value,
|
||||
database_=self.db,
|
||||
)
|
||||
|
||||
for rec in records:
|
||||
data = rec.data()
|
||||
triples.append((v.s.value, v.p.value, data["dest"]))
|
||||
triples.append((query.s.value, query.p.value, data["dest"]))
|
||||
|
||||
records, summary, keys = self.io.execute_query(
|
||||
"MATCH (src:Node {uri: $src})-[rel:Rel {uri: $rel}]->(dest:Node) "
|
||||
"RETURN dest.uri as dest "
|
||||
"LIMIT " + str(v.limit),
|
||||
src=v.s.value, rel=v.p.value,
|
||||
"LIMIT " + str(query.limit),
|
||||
src=query.s.value, rel=query.p.value,
|
||||
database_=self.db,
|
||||
)
|
||||
|
||||
for rec in records:
|
||||
data = rec.data()
|
||||
triples.append((v.s.value, v.p.value, data["dest"]))
|
||||
triples.append((query.s.value, query.p.value, data["dest"]))
|
||||
|
||||
else:
|
||||
|
||||
if v.o is not None:
|
||||
if query.o is not None:
|
||||
|
||||
# SO
|
||||
|
||||
records, summary, keys = self.io.execute_query(
|
||||
"MATCH (src:Node {uri: $src})-[rel:Rel]->(dest:Literal {value: $value}) "
|
||||
"RETURN rel.uri as rel "
|
||||
"LIMIT " + str(v.limit),
|
||||
src=v.s.value, value=v.o.value,
|
||||
"LIMIT " + str(query.limit),
|
||||
src=query.s.value, value=query.o.value,
|
||||
database_=self.db,
|
||||
)
|
||||
|
||||
for rec in records:
|
||||
data = rec.data()
|
||||
triples.append((v.s.value, data["rel"], v.o.value))
|
||||
triples.append((query.s.value, data["rel"], query.o.value))
|
||||
|
||||
records, summary, keys = self.io.execute_query(
|
||||
"MATCH (src:Node {uri: $src})-[rel:Rel]->(dest:Node {uri: $uri}) "
|
||||
"RETURN rel.uri as rel "
|
||||
"LIMIT " + str(v.limit),
|
||||
src=v.s.value, uri=v.o.value,
|
||||
"LIMIT " + str(query.limit),
|
||||
src=query.s.value, uri=query.o.value,
|
||||
database_=self.db,
|
||||
)
|
||||
|
||||
for rec in records:
|
||||
data = rec.data()
|
||||
triples.append((v.s.value, data["rel"], v.o.value))
|
||||
triples.append((query.s.value, data["rel"], query.o.value))
|
||||
|
||||
else:
|
||||
|
||||
|
|
@ -164,59 +150,59 @@ class Processor(ConsumerProducer):
|
|||
records, summary, keys = self.io.execute_query(
|
||||
"MATCH (src:Node {uri: $src})-[rel:Rel]->(dest:Literal) "
|
||||
"RETURN rel.uri as rel, dest.value as dest "
|
||||
"LIMIT " + str(v.limit),
|
||||
src=v.s.value,
|
||||
"LIMIT " + str(query.limit),
|
||||
src=query.s.value,
|
||||
database_=self.db,
|
||||
)
|
||||
|
||||
for rec in records:
|
||||
data = rec.data()
|
||||
triples.append((v.s.value, data["rel"], data["dest"]))
|
||||
triples.append((query.s.value, data["rel"], data["dest"]))
|
||||
|
||||
records, summary, keys = self.io.execute_query(
|
||||
"MATCH (src:Node {uri: $src})-[rel:Rel]->(dest:Node) "
|
||||
"RETURN rel.uri as rel, dest.uri as dest "
|
||||
"LIMIT " + str(v.limit),
|
||||
src=v.s.value,
|
||||
"LIMIT " + str(query.limit),
|
||||
src=query.s.value,
|
||||
database_=self.db,
|
||||
)
|
||||
|
||||
for rec in records:
|
||||
data = rec.data()
|
||||
triples.append((v.s.value, data["rel"], data["dest"]))
|
||||
triples.append((query.s.value, data["rel"], data["dest"]))
|
||||
|
||||
|
||||
else:
|
||||
|
||||
if v.p is not None:
|
||||
if query.p is not None:
|
||||
|
||||
if v.o is not None:
|
||||
if query.o is not None:
|
||||
|
||||
# PO
|
||||
|
||||
records, summary, keys = self.io.execute_query(
|
||||
"MATCH (src:Node)-[rel:Rel {uri: $uri}]->(dest:Literal {value: $value}) "
|
||||
"RETURN src.uri as src "
|
||||
"LIMIT " + str(v.limit),
|
||||
uri=v.p.value, value=v.o.value,
|
||||
"LIMIT " + str(query.limit),
|
||||
uri=query.p.value, value=query.o.value,
|
||||
database_=self.db,
|
||||
)
|
||||
|
||||
for rec in records:
|
||||
data = rec.data()
|
||||
triples.append((data["src"], v.p.value, v.o.value))
|
||||
triples.append((data["src"], query.p.value, query.o.value))
|
||||
|
||||
records, summary, keys = self.io.execute_query(
|
||||
"MATCH (src:Node)-[rel:Rel {uri: $uri}]->(dest:Node {uri: $uri}) "
|
||||
"MATCH (src:Node)-[rel:Rel {uri: $uri}]->(dest:Node {uri: $dest}) "
|
||||
"RETURN src.uri as src "
|
||||
"LIMIT " + str(v.limit),
|
||||
uri=v.p.value, dest=v.o.value,
|
||||
"LIMIT " + str(query.limit),
|
||||
uri=query.p.value, dest=query.o.value,
|
||||
database_=self.db,
|
||||
)
|
||||
|
||||
for rec in records:
|
||||
data = rec.data()
|
||||
triples.append((data["src"], v.p.value, v.o.value))
|
||||
triples.append((data["src"], query.p.value, query.o.value))
|
||||
|
||||
else:
|
||||
|
||||
|
|
@ -225,56 +211,56 @@ class Processor(ConsumerProducer):
|
|||
records, summary, keys = self.io.execute_query(
|
||||
"MATCH (src:Node)-[rel:Rel {uri: $uri}]->(dest:Literal) "
|
||||
"RETURN src.uri as src, dest.value as dest "
|
||||
"LIMIT " + str(v.limit),
|
||||
uri=v.p.value,
|
||||
"LIMIT " + str(query.limit),
|
||||
uri=query.p.value,
|
||||
database_=self.db,
|
||||
)
|
||||
|
||||
for rec in records:
|
||||
data = rec.data()
|
||||
triples.append((data["src"], v.p.value, data["dest"]))
|
||||
triples.append((data["src"], query.p.value, data["dest"]))
|
||||
|
||||
records, summary, keys = self.io.execute_query(
|
||||
"MATCH (src:Node)-[rel:Rel {uri: $uri}]->(dest:Node) "
|
||||
"RETURN src.uri as src, dest.uri as dest "
|
||||
"LIMIT " + str(v.limit),
|
||||
uri=v.p.value,
|
||||
"LIMIT " + str(query.limit),
|
||||
uri=query.p.value,
|
||||
database_=self.db,
|
||||
)
|
||||
|
||||
for rec in records:
|
||||
data = rec.data()
|
||||
triples.append((data["src"], v.p.value, data["dest"]))
|
||||
triples.append((data["src"], query.p.value, data["dest"]))
|
||||
|
||||
else:
|
||||
|
||||
if v.o is not None:
|
||||
if query.o is not None:
|
||||
|
||||
# O
|
||||
|
||||
records, summary, keys = self.io.execute_query(
|
||||
"MATCH (src:Node)-[rel:Rel]->(dest:Literal {value: $value}) "
|
||||
"RETURN src.uri as src, rel.uri as rel "
|
||||
"LIMIT " + str(v.limit),
|
||||
value=v.o.value,
|
||||
"LIMIT " + str(query.limit),
|
||||
value=query.o.value,
|
||||
database_=self.db,
|
||||
)
|
||||
|
||||
for rec in records:
|
||||
data = rec.data()
|
||||
triples.append((data["src"], data["rel"], v.o.value))
|
||||
triples.append((data["src"], data["rel"], query.o.value))
|
||||
|
||||
records, summary, keys = self.io.execute_query(
|
||||
"MATCH (src:Node)-[rel:Rel]->(dest:Node {uri: $uri}) "
|
||||
"RETURN src.uri as src, rel.uri as rel "
|
||||
"LIMIT " + str(v.limit),
|
||||
uri=v.o.value,
|
||||
"LIMIT " + str(query.limit),
|
||||
uri=query.o.value,
|
||||
database_=self.db,
|
||||
)
|
||||
|
||||
for rec in records:
|
||||
data = rec.data()
|
||||
triples.append((data["src"], data["rel"], v.o.value))
|
||||
triples.append((data["src"], data["rel"], query.o.value))
|
||||
|
||||
else:
|
||||
|
||||
|
|
@ -283,7 +269,7 @@ class Processor(ConsumerProducer):
|
|||
records, summary, keys = self.io.execute_query(
|
||||
"MATCH (src:Node)-[rel:Rel]->(dest:Literal) "
|
||||
"RETURN src.uri as src, rel.uri as rel, dest.value as dest "
|
||||
"LIMIT " + str(v.limit),
|
||||
"LIMIT " + str(query.limit),
|
||||
database_=self.db,
|
||||
)
|
||||
|
||||
|
|
@ -294,7 +280,7 @@ class Processor(ConsumerProducer):
|
|||
records, summary, keys = self.io.execute_query(
|
||||
"MATCH (src:Node)-[rel:Rel]->(dest:Node) "
|
||||
"RETURN src.uri as src, rel.uri as rel, dest.uri as dest "
|
||||
"LIMIT " + str(v.limit),
|
||||
"LIMIT " + str(query.limit),
|
||||
database_=self.db,
|
||||
)
|
||||
|
||||
|
|
@ -308,40 +294,20 @@ class Processor(ConsumerProducer):
|
|||
p=self.create_value(t[1]),
|
||||
o=self.create_value(t[2])
|
||||
)
|
||||
for t in triples[:v.limit]
|
||||
for t in triples[:query.limit]
|
||||
]
|
||||
|
||||
print("Send response...", flush=True)
|
||||
r = TriplesQueryResponse(triples=triples, error=None)
|
||||
await self.send(r, properties={"id": id})
|
||||
|
||||
print("Done.", flush=True)
|
||||
return triples
|
||||
|
||||
except Exception as e:
|
||||
|
||||
print(f"Exception: {e}")
|
||||
|
||||
print("Send error response...", flush=True)
|
||||
|
||||
r = TriplesQueryResponse(
|
||||
error=Error(
|
||||
type = "llm-error",
|
||||
message = str(e),
|
||||
),
|
||||
response=None,
|
||||
)
|
||||
|
||||
await self.send(r, properties={"id": id})
|
||||
|
||||
self.consumer.acknowledge(msg)
|
||||
logger.error(f"Exception querying triples: {e}", exc_info=True)
|
||||
raise e
|
||||
|
||||
@staticmethod
|
||||
def add_args(parser):
|
||||
|
||||
ConsumerProducer.add_args(
|
||||
parser, default_input_queue, default_subscriber,
|
||||
default_output_queue,
|
||||
)
|
||||
TriplesQueryService.add_args(parser)
|
||||
|
||||
parser.add_argument(
|
||||
'-g', '--graph-host',
|
||||
|
|
@ -369,5 +335,5 @@ class Processor(ConsumerProducer):
|
|||
|
||||
def run():
|
||||
|
||||
Processor.launch(module, __doc__)
|
||||
Processor.launch(default_ident, __doc__)
|
||||
|
||||
|
|
|
|||
|
|
@ -5,32 +5,28 @@ Input is a (s, p, o) triple, some values may be null. Output is a list of
|
|||
triples.
|
||||
"""
|
||||
|
||||
import logging
|
||||
|
||||
from neo4j import GraphDatabase
|
||||
|
||||
from .... schema import TriplesQueryRequest, TriplesQueryResponse, Error
|
||||
from .... schema import Value, Triple
|
||||
from .... schema import triples_request_queue
|
||||
from .... schema import triples_response_queue
|
||||
from .... base import ConsumerProducer
|
||||
from .... base import TriplesQueryService
|
||||
|
||||
module = "triples-query"
|
||||
# Module logger
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
default_input_queue = triples_request_queue
|
||||
default_output_queue = triples_response_queue
|
||||
default_subscriber = module
|
||||
default_ident = "triples-query"
|
||||
|
||||
default_graph_host = 'bolt://neo4j:7687'
|
||||
default_username = 'neo4j'
|
||||
default_password = 'password'
|
||||
default_database = 'neo4j'
|
||||
|
||||
class Processor(ConsumerProducer):
|
||||
class Processor(TriplesQueryService):
|
||||
|
||||
def __init__(self, **params):
|
||||
|
||||
input_queue = params.get("input_queue", default_input_queue)
|
||||
output_queue = params.get("output_queue", default_output_queue)
|
||||
subscriber = params.get("subscriber", default_subscriber)
|
||||
graph_host = params.get("graph_host", default_graph_host)
|
||||
username = params.get("username", default_username)
|
||||
password = params.get("password", default_password)
|
||||
|
|
@ -38,12 +34,9 @@ class Processor(ConsumerProducer):
|
|||
|
||||
super(Processor, self).__init__(
|
||||
**params | {
|
||||
"input_queue": input_queue,
|
||||
"output_queue": output_queue,
|
||||
"subscriber": subscriber,
|
||||
"input_schema": TriplesQueryRequest,
|
||||
"output_schema": TriplesQueryResponse,
|
||||
"graph_host": graph_host,
|
||||
"username": username,
|
||||
"database": database,
|
||||
}
|
||||
)
|
||||
|
||||
|
|
@ -58,44 +51,37 @@ class Processor(ConsumerProducer):
|
|||
else:
|
||||
return Value(value=ent, is_uri=False)
|
||||
|
||||
async def handle(self, msg):
|
||||
async def query_triples(self, query):
|
||||
|
||||
try:
|
||||
|
||||
v = msg.value()
|
||||
|
||||
# Sender-produced ID
|
||||
id = msg.properties()["id"]
|
||||
|
||||
print(f"Handling input {id}...", flush=True)
|
||||
|
||||
triples = []
|
||||
|
||||
if v.s is not None:
|
||||
if v.p is not None:
|
||||
if v.o is not None:
|
||||
if query.s is not None:
|
||||
if query.p is not None:
|
||||
if query.o is not None:
|
||||
|
||||
# SPO
|
||||
|
||||
records, summary, keys = self.io.execute_query(
|
||||
"MATCH (src:Node {uri: $src})-[rel:Rel {uri: $rel}]->(dest:Literal {value: $value}) "
|
||||
"RETURN $src as src",
|
||||
src=v.s.value, rel=v.p.value, value=v.o.value,
|
||||
src=query.s.value, rel=query.p.value, value=query.o.value,
|
||||
database_=self.db,
|
||||
)
|
||||
|
||||
for rec in records:
|
||||
triples.append((v.s.value, v.p.value, v.o.value))
|
||||
triples.append((query.s.value, query.p.value, query.o.value))
|
||||
|
||||
records, summary, keys = self.io.execute_query(
|
||||
"MATCH (src:Node {uri: $src})-[rel:Rel {uri: $rel}]->(dest:Node {uri: $uri}) "
|
||||
"RETURN $src as src",
|
||||
src=v.s.value, rel=v.p.value, uri=v.o.value,
|
||||
src=query.s.value, rel=query.p.value, uri=query.o.value,
|
||||
database_=self.db,
|
||||
)
|
||||
|
||||
for rec in records:
|
||||
triples.append((v.s.value, v.p.value, v.o.value))
|
||||
triples.append((query.s.value, query.p.value, query.o.value))
|
||||
|
||||
else:
|
||||
|
||||
|
|
@ -104,52 +90,52 @@ class Processor(ConsumerProducer):
|
|||
records, summary, keys = self.io.execute_query(
|
||||
"MATCH (src:Node {uri: $src})-[rel:Rel {uri: $rel}]->(dest:Literal) "
|
||||
"RETURN dest.value as dest",
|
||||
src=v.s.value, rel=v.p.value,
|
||||
src=query.s.value, rel=query.p.value,
|
||||
database_=self.db,
|
||||
)
|
||||
|
||||
for rec in records:
|
||||
data = rec.data()
|
||||
triples.append((v.s.value, v.p.value, data["dest"]))
|
||||
triples.append((query.s.value, query.p.value, data["dest"]))
|
||||
|
||||
records, summary, keys = self.io.execute_query(
|
||||
"MATCH (src:Node {uri: $src})-[rel:Rel {uri: $rel}]->(dest:Node) "
|
||||
"RETURN dest.uri as dest",
|
||||
src=v.s.value, rel=v.p.value,
|
||||
src=query.s.value, rel=query.p.value,
|
||||
database_=self.db,
|
||||
)
|
||||
|
||||
for rec in records:
|
||||
data = rec.data()
|
||||
triples.append((v.s.value, v.p.value, data["dest"]))
|
||||
triples.append((query.s.value, query.p.value, data["dest"]))
|
||||
|
||||
else:
|
||||
|
||||
if v.o is not None:
|
||||
if query.o is not None:
|
||||
|
||||
# SO
|
||||
|
||||
records, summary, keys = self.io.execute_query(
|
||||
"MATCH (src:Node {uri: $src})-[rel:Rel]->(dest:Literal {value: $value}) "
|
||||
"RETURN rel.uri as rel",
|
||||
src=v.s.value, value=v.o.value,
|
||||
src=query.s.value, value=query.o.value,
|
||||
database_=self.db,
|
||||
)
|
||||
|
||||
for rec in records:
|
||||
data = rec.data()
|
||||
triples.append((v.s.value, data["rel"], v.o.value))
|
||||
triples.append((query.s.value, data["rel"], query.o.value))
|
||||
|
||||
records, summary, keys = self.io.execute_query(
|
||||
"MATCH (src:Node {uri: $src})-[rel:Rel]->(dest:Node {uri: $uri}) "
|
||||
"RETURN rel.uri as rel",
|
||||
src=v.s.value, uri=v.o.value,
|
||||
src=query.s.value, uri=query.o.value,
|
||||
database_=self.db,
|
||||
)
|
||||
|
||||
for rec in records:
|
||||
data = rec.data()
|
||||
triples.append((v.s.value, data["rel"], v.o.value))
|
||||
triples.append((query.s.value, data["rel"], query.o.value))
|
||||
|
||||
else:
|
||||
|
||||
|
|
@ -158,55 +144,55 @@ class Processor(ConsumerProducer):
|
|||
records, summary, keys = self.io.execute_query(
|
||||
"MATCH (src:Node {uri: $src})-[rel:Rel]->(dest:Literal) "
|
||||
"RETURN rel.uri as rel, dest.value as dest",
|
||||
src=v.s.value,
|
||||
src=query.s.value,
|
||||
database_=self.db,
|
||||
)
|
||||
|
||||
for rec in records:
|
||||
data = rec.data()
|
||||
triples.append((v.s.value, data["rel"], data["dest"]))
|
||||
triples.append((query.s.value, data["rel"], data["dest"]))
|
||||
|
||||
records, summary, keys = self.io.execute_query(
|
||||
"MATCH (src:Node {uri: $src})-[rel:Rel]->(dest:Node) "
|
||||
"RETURN rel.uri as rel, dest.uri as dest",
|
||||
src=v.s.value,
|
||||
src=query.s.value,
|
||||
database_=self.db,
|
||||
)
|
||||
|
||||
for rec in records:
|
||||
data = rec.data()
|
||||
triples.append((v.s.value, data["rel"], data["dest"]))
|
||||
triples.append((query.s.value, data["rel"], data["dest"]))
|
||||
|
||||
|
||||
else:
|
||||
|
||||
if v.p is not None:
|
||||
if query.p is not None:
|
||||
|
||||
if v.o is not None:
|
||||
if query.o is not None:
|
||||
|
||||
# PO
|
||||
|
||||
records, summary, keys = self.io.execute_query(
|
||||
"MATCH (src:Node)-[rel:Rel {uri: $uri}]->(dest:Literal {value: $value}) "
|
||||
"RETURN src.uri as src",
|
||||
uri=v.p.value, value=v.o.value,
|
||||
uri=query.p.value, value=query.o.value,
|
||||
database_=self.db,
|
||||
)
|
||||
|
||||
for rec in records:
|
||||
data = rec.data()
|
||||
triples.append((data["src"], v.p.value, v.o.value))
|
||||
triples.append((data["src"], query.p.value, query.o.value))
|
||||
|
||||
records, summary, keys = self.io.execute_query(
|
||||
"MATCH (src:Node)-[rel:Rel {uri: $uri}]->(dest:Node {uri: $uri}) "
|
||||
"MATCH (src:Node)-[rel:Rel {uri: $uri}]->(dest:Node {uri: $dest}) "
|
||||
"RETURN src.uri as src",
|
||||
uri=v.p.value, dest=v.o.value,
|
||||
uri=query.p.value, dest=query.o.value,
|
||||
database_=self.db,
|
||||
)
|
||||
|
||||
for rec in records:
|
||||
data = rec.data()
|
||||
triples.append((data["src"], v.p.value, v.o.value))
|
||||
triples.append((data["src"], query.p.value, query.o.value))
|
||||
|
||||
else:
|
||||
|
||||
|
|
@ -215,52 +201,52 @@ class Processor(ConsumerProducer):
|
|||
records, summary, keys = self.io.execute_query(
|
||||
"MATCH (src:Node)-[rel:Rel {uri: $uri}]->(dest:Literal) "
|
||||
"RETURN src.uri as src, dest.value as dest",
|
||||
uri=v.p.value,
|
||||
uri=query.p.value,
|
||||
database_=self.db,
|
||||
)
|
||||
|
||||
for rec in records:
|
||||
data = rec.data()
|
||||
triples.append((data["src"], v.p.value, data["dest"]))
|
||||
triples.append((data["src"], query.p.value, data["dest"]))
|
||||
|
||||
records, summary, keys = self.io.execute_query(
|
||||
"MATCH (src:Node)-[rel:Rel {uri: $uri}]->(dest:Node) "
|
||||
"RETURN src.uri as src, dest.uri as dest",
|
||||
uri=v.p.value,
|
||||
uri=query.p.value,
|
||||
database_=self.db,
|
||||
)
|
||||
|
||||
for rec in records:
|
||||
data = rec.data()
|
||||
triples.append((data["src"], v.p.value, data["dest"]))
|
||||
triples.append((data["src"], query.p.value, data["dest"]))
|
||||
|
||||
else:
|
||||
|
||||
if v.o is not None:
|
||||
if query.o is not None:
|
||||
|
||||
# O
|
||||
|
||||
records, summary, keys = self.io.execute_query(
|
||||
"MATCH (src:Node)-[rel:Rel]->(dest:Literal {value: $value}) "
|
||||
"RETURN src.uri as src, rel.uri as rel",
|
||||
value=v.o.value,
|
||||
value=query.o.value,
|
||||
database_=self.db,
|
||||
)
|
||||
|
||||
for rec in records:
|
||||
data = rec.data()
|
||||
triples.append((data["src"], data["rel"], v.o.value))
|
||||
triples.append((data["src"], data["rel"], query.o.value))
|
||||
|
||||
records, summary, keys = self.io.execute_query(
|
||||
"MATCH (src:Node)-[rel:Rel]->(dest:Node {uri: $uri}) "
|
||||
"RETURN src.uri as src, rel.uri as rel",
|
||||
uri=v.o.value,
|
||||
uri=query.o.value,
|
||||
database_=self.db,
|
||||
)
|
||||
|
||||
for rec in records:
|
||||
data = rec.data()
|
||||
triples.append((data["src"], data["rel"], v.o.value))
|
||||
triples.append((data["src"], data["rel"], query.o.value))
|
||||
|
||||
else:
|
||||
|
||||
|
|
@ -295,37 +281,17 @@ class Processor(ConsumerProducer):
|
|||
for t in triples
|
||||
]
|
||||
|
||||
print("Send response...", flush=True)
|
||||
r = TriplesQueryResponse(triples=triples, error=None)
|
||||
await self.send(r, properties={"id": id})
|
||||
|
||||
print("Done.", flush=True)
|
||||
return triples
|
||||
|
||||
except Exception as e:
|
||||
|
||||
print(f"Exception: {e}")
|
||||
|
||||
print("Send error response...", flush=True)
|
||||
|
||||
r = TriplesQueryResponse(
|
||||
error=Error(
|
||||
type = "llm-error",
|
||||
message = str(e),
|
||||
),
|
||||
response=None,
|
||||
)
|
||||
|
||||
await self.send(r, properties={"id": id})
|
||||
|
||||
self.consumer.acknowledge(msg)
|
||||
logger.error(f"Exception querying triples: {e}", exc_info=True)
|
||||
raise e
|
||||
|
||||
@staticmethod
|
||||
def add_args(parser):
|
||||
|
||||
ConsumerProducer.add_args(
|
||||
parser, default_input_queue, default_subscriber,
|
||||
default_output_queue,
|
||||
)
|
||||
TriplesQueryService.add_args(parser)
|
||||
|
||||
parser.add_argument(
|
||||
'-g', '--graph-host',
|
||||
|
|
@ -353,5 +319,5 @@ class Processor(ConsumerProducer):
|
|||
|
||||
def run():
|
||||
|
||||
Processor.launch(module, __doc__)
|
||||
Processor.launch(default_ident, __doc__)
|
||||
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue