diff --git a/geaflow-ai/agent/README.md b/geaflow-ai/agent/README.md new file mode 100644 index 000000000..60b675e31 --- /dev/null +++ b/geaflow-ai/agent/README.md @@ -0,0 +1,16 @@ +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. diff --git a/geaflow-ai/agent/main.py b/geaflow-ai/agent/main.py new file mode 100644 index 000000000..04587081d --- /dev/null +++ b/geaflow-ai/agent/main.py @@ -0,0 +1,40 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, +# software distributed under the License is distributed on an +# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +# KIND, either express or implied. See the License for the +# specific language governing permissions and limitations +# under the License. + +import argparse +import logging + +from src.graph_memory_client import GeaFlowMemoryClientCLI + + +def main(): + parser = argparse.ArgumentParser(description='GeaFlow Memory Client CLI') + parser.add_argument('config_path', nargs='?', default='/etc/geaflow_memory.properties', + help='Path to configuration file') + args = parser.parse_args() + + logging.basicConfig(level=logging.INFO) + + client = GeaFlowMemoryClientCLI() + + client.load_config(args.config_path) + + client.start() + + +if __name__ == "__main__": + main() diff --git a/geaflow-ai/agent/pyproject.toml b/geaflow-ai/agent/pyproject.toml new file mode 100644 index 000000000..aa6ef1558 --- /dev/null +++ b/geaflow-ai/agent/pyproject.toml @@ -0,0 +1,34 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, +# software distributed under the License is distributed on an +# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +# KIND, either express or implied. See the License for the +# specific language governing permissions and limitations +# under the License. +[project] +name = "agent" +version = "0.1.0" +description = "GeaFlow AI Memory Client CLI" +readme = "README.md" +requires-python = ">=3.11" +dependencies = [ + "requests>=2.28.0", + "setuptools>=61.0", + "wheel>=0.46.3", +] + +[build-system] +requires = ["setuptools>=61.0", "wheel"] +build-backend = "setuptools.build_meta" + +[tool.setuptools.packages.find] +where = ["src"] diff --git a/geaflow-ai/agent/src/graph_memory_client.py b/geaflow-ai/agent/src/graph_memory_client.py new file mode 100644 index 000000000..283fd2838 --- /dev/null +++ b/geaflow-ai/agent/src/graph_memory_client.py @@ -0,0 +1,398 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, +# software distributed under the License is distributed on an +# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +# KIND, either express or implied. See the License for the +# specific language governing permissions and limitations +# under the License. +import hashlib +import json +import requests +from typing import List, Dict, Optional +from dataclasses import dataclass, field +from pathlib import Path +import configparser +import logging + + +@dataclass +class VertexSchema: + label: str + fields: List[str] + idField: str + + +@dataclass +class EdgeSchema: + label: str + fields: List[str] + srcIdField: str + dstIdField: str + + +@dataclass +class GraphSchema: + graphName: str = "graph" + vertexSchemaList: List[VertexSchema] = field(default_factory=list) + edgeSchemaList: List[EdgeSchema] = field(default_factory=list) + promptFormatter: Optional[object] = None + + +@dataclass +class Vertex: + id: str + label: str + values: List[str] + + +@dataclass +class Edge: + srcId: str + dstId: str + label: str + values: List[str] + + +@dataclass +class ModelConfig: + model: Optional[str] = None + url: Optional[str] = None + api: Optional[str] = None + token: Optional[str] = None + + +class ChatService: + def __init__(self, config: ModelConfig): + self.config = config + + def chat(self, query: str) -> str: + return f"AI Response for: {query}" + + +class TextFileReader: + def __init__(self, chunk_size: int = 10000): + self.chunk_size = chunk_size + self.rows = [] + + def read_file(self, file_path: str) -> None: + try: + with open(file_path, 'r', encoding='utf-8') as f: + content = f.read() + self.rows = [line.strip() for line in content.split('\n') if line.strip()] + except Exception as e: + logging.error(f"Failed to read file {file_path}: {e}") + raise + + def get_row_count(self) -> int: + return len(self.rows) + + def get_row(self, index: int) -> str: + if 0 <= index < len(self.rows): + return self.rows[index] + raise IndexError(f"Row index {index} out of range") + +def generate_paragraph_id(paragraph_text: str) -> str: + return hashlib.md5(paragraph_text.encode('utf-8')).hexdigest() + +class GeaFlowMemoryClientCLI: + def __init__(self): + self.base_url = "http://localhost:8080" + self.server_url = f"{self.base_url}/api/test" + self.create_url = f"{self.base_url}/graph/create" + self.schema_url = f"{self.base_url}/graph/addEntitySchema" + self.insert_url = f"{self.base_url}/graph/insertEntity" + self.context_url = f"{self.base_url}/query/context" + self.exec_url = f"{self.base_url}/query/exec" + + self.default_graph_name = "memory_graph" + self.vertex_label = "chunk" + self.edge_label = "relation" + + self.current_graph_name = self.default_graph_name + self.current_session_id = None + self.chat_model_config = ModelConfig() + self.chat_service = None + + self.PREFIX_GRAPH = "graph" + self.PREFIX_ID = "id" + self.PREFIX_SRC_ID = "srcId" + self.PREFIX_DST_ID = "dstId" + + def load_config(self, config_path: str) -> None: + if not config_path: + print("No external config path specified. Using embedded configuration.") + logging.info("No external config path specified. Using embedded configuration.") + return + + config_file = Path(config_path) + if config_file.exists(): + try: + print(f"Loading external config from: {config_path}") + logging.info(f"Loading external config from: {config_path}") + + config = configparser.ConfigParser() + config.read(config_path) + + self.chat_model_config.model = config.get('DEFAULT', 'model.chat.name', fallback=None) + self.chat_model_config.url = config.get('DEFAULT', 'model.chat.url', fallback=None) + self.chat_model_config.api = config.get('DEFAULT', 'model.chat.api', fallback=None) + self.chat_model_config.token = config.get('DEFAULT', 'model.chat.token', fallback=None) + + except Exception as e: + print(f"Failed to load external config {e}") + logging.warning(f"Failed to load external config '{config_path}': {e}. Proceeding with defaults.") + else: + print(f"External config file not found: '{config_path}'. Using default/internal configuration.") + logging.warning(f"External config file not found: '{config_path}'. Using default/internal configuration.") + + def start(self): + self.print_welcome() + + while True: + try: + user_input = input("\ngeaflow> ").strip() + + if not user_input: + continue + + if user_input.lower() in ["exit", "quit"]: + print("Goodbye!") + break + + if user_input.lower() == "help": + self.print_help() + continue + + self.process_command(user_input) + + except Exception as e: + print(f"Error: {e}") + if hasattr(e, '__cause__') and e.__cause__: + print(f"Cause: {e.__cause__}") + + def process_command(self, command: str): + parts = command.split(maxsplit=1) + cmd = parts[0].lower() + param = parts[1] if len(parts) > 1 else "" + + if cmd == "test": + self.test_server() + elif cmd == "use": + self.current_graph_name = param if param else self.default_graph_name + print(f"Using graph: {self.current_graph_name}") + elif cmd == "create": + graph_name = param if param else self.default_graph_name + self.create_graph(graph_name) + self.current_graph_name = graph_name + elif cmd == "remember": + if not param: + print("Please enter content to remember:") + param = input().strip() + self.remember_content(param) + elif cmd == "query": + if not param: + print("Please enter your query:") + param = input().strip() + self.execute_query(param) + else: + print(f"Unknown command: {cmd}") + print("Available commands: test, create, use, remember, query, help, exit") + + def test_server(self): + print("Testing server connection...") + response = self.send_get_request(self.server_url) + print(f"✓ Server response: {response}") + + def create_graph(self, graph_name: str): + print(f"Creating graph: {graph_name}") + + graph_schema = GraphSchema(graphName=graph_name) + graph_json = json.dumps(graph_schema.__dict__) + print(f"✓ graph_json: {graph_json}") + params = {"graphName": graph_name} + response = self.send_post_request(self.create_url, graph_json, params) + print(f"✓ Graph created: {response}") + + vertex_schema = VertexSchema( + label=self.vertex_label, + fields=["text"], + idField=self.PREFIX_ID + ) + vertex_schema_json = json.dumps(vertex_schema.__dict__) + print(f"✓ vertex_schema_json: {vertex_schema_json}") + response = self.send_post_request( + self.schema_url, + vertex_schema_json, + params + ) + print(f"✓ Chunk schema added: {response}") + + edge_schema = EdgeSchema( + label=self.edge_label, + fields=["rel"], + srcIdField=self.PREFIX_SRC_ID, + dstIdField=self.PREFIX_DST_ID + ) + edge_schema_json = json.dumps(edge_schema.__dict__) + print(f"✓ edge_schema_json: {edge_schema_json}") + response = self.send_post_request( + self.schema_url, + edge_schema_json, + params + ) + print(f"✓ Relation schema added: {response}") + self.current_graph_name = graph_name + print(f"✓ Graph '{graph_name}' is ready for use!") + + def remember_content(self, content: str): + if not self.current_graph_name: + print("No graph selected. Please create a graph first.") + return + + if content.strip().lower().startswith("doc"): + path = content.strip()[3:].strip() + self.remember_document(path) + else: + print("Remembering content...") + response = self.remember_chunk(content) + print(f"✓ Content remembered: {response}") + + def remember_document(self, file_path: str): + try: + text_file_reader = TextFileReader(10000) + text_file_reader.read_file(file_path) + + for i in range(text_file_reader.get_row_count()): + chunk = text_file_reader.get_row(i) + response = self.remember_chunk(chunk) + print(f"✓ Content remembered: {response}") + except Exception as e: + print(f"Failed to read document: {e}") + + def remember_chunk(self, content: str) -> str: + vertex_id = generate_paragraph_id(content) + chunk_vertex = Vertex( + id=vertex_id, + label=self.vertex_label, + values=[content] + ) + vertex_json = json.dumps(chunk_vertex.__dict__) + print(f"✓ graphName: {self.current_graph_name} remember_vertex_json: {vertex_json}") + params = {"graphName": self.current_graph_name} + return self.send_post_request(self.insert_url, vertex_json, params) + + def execute_query(self, query: str): + if not self.current_graph_name: + print("No graph selected. Please create a graph first.") + return + + print("Creating new session...") + params = {"graphName": self.current_graph_name} + response = self.send_post_request(self.context_url, "", params) + self.current_session_id = response.strip() + print(f"✓ Session created: {self.current_session_id}") + + print(f"GraphName: {self.current_graph_name} Executing query: {query}") + params = {"sessionId": self.current_session_id} + response = self.send_post_request(self.exec_url, query, params) + + print("✓ Search result:") + print("========================") + print(response) + print("========================") + + model_response_with_rag = self.get_chat_service().chat(query + "\n[\n" + response + "]") + print("✓ Query result:") + print("========================") + print(model_response_with_rag) + print("========================") + return response + + def get_chat_service(self) -> ChatService: + if self.chat_service is None: + self.chat_service = ChatService(self.chat_model_config) + return self.chat_service + + def send_get_request(self, url: str) -> str: + try: + response = requests.get(url, headers={"Accept": "application/json"}) + response.raise_for_status() + return response.text + except requests.RequestException as e: + raise Exception(f"HTTP request failed: {e}") + + def send_post_request(self, url: str, body: str, params: Optional[Dict] = None) -> str: + try: + response = requests.post( + url, + params=params, + data=body, + headers={ + "Content-Type": "application/json", + "Accept": "application/json" + } + ) + response.raise_for_status() + return response.text + except requests.RequestException as e: + raise Exception(f"HTTP request failed: {e}") + + def print_welcome(self): + print("=========================================") + print(" GeaFlow Memory Server - Simple Client") + print("=========================================") + print("Simple Commands:") + print(" test - Test server connection") + print(" create [name] - Create a new memory graph") + print(" use [name] - Use a new memory graph") + print(" remember - Store content to memory") + print(" query - Ask questions about memory") + print(" help - Show this help") + print(" exit - Quit the client") + print("=========================================") + print(f"Default graph name: {self.default_graph_name}") + print(f"Server URL: {self.base_url}") + print("=========================================") + + def print_help(self): + print("\nAvailable Commands:") + print("-------------------") + print("test") + print(" Test if the GeaFlow server is running") + print(" Example: test") + print() + print("create [graph_name]") + print(" Create a new memory graph with default schema") + print(" Creates: chunk vertices and relation edges") + print(f" Default name: {self.default_graph_name}") + print(" Example: create") + print(" Example: create my_memory") + print() + print("use [graph_name]") + print(" Use a new memory graph") + print(f" Default name: {self.default_graph_name}") + print(" Example: use my_memory") + print() + print("remember ") + print(" Store text content into memory") + print(' Example: remember "孔子是中国古代的思想家"') + print(" Example: remember") + print(" (will prompt for content)") + print() + print("query ") + print(" Query the memory with natural language") + print(' Example: query "Who is Confucius?"') + print(" Example: query") + print(" (will prompt for question)") + print() + print("exit / quit") + print(" Exit the client") diff --git a/geaflow-ai/src/main/java/org/apache/geaflow/ai/GeaFlowMemoryServer.java b/geaflow-ai/src/main/java/org/apache/geaflow/ai/GeaFlowMemoryServer.java index d39123183..43a012b52 100644 --- a/geaflow-ai/src/main/java/org/apache/geaflow/ai/GeaFlowMemoryServer.java +++ b/geaflow-ai/src/main/java/org/apache/geaflow/ai/GeaFlowMemoryServer.java @@ -19,14 +19,22 @@ package org.apache.geaflow.ai; +import java.nio.file.Files; +import java.nio.file.Paths; import java.util.ArrayList; import java.util.HashMap; import java.util.List; import java.util.Map; +import org.apache.commons.lang3.StringUtils; +import org.apache.geaflow.ai.common.config.Constants; +import org.apache.geaflow.ai.common.model.EmbeddingService; +import org.apache.geaflow.ai.common.model.ModelConfig; import org.apache.geaflow.ai.common.util.SeDeUtil; import org.apache.geaflow.ai.graph.*; import org.apache.geaflow.ai.graph.io.*; +import org.apache.geaflow.ai.index.EmbeddingIndexStore; import org.apache.geaflow.ai.index.EntityAttributeIndexStore; +import org.apache.geaflow.ai.index.vector.EmbeddingVector; import org.apache.geaflow.ai.index.vector.KeywordVector; import org.apache.geaflow.ai.search.VectorSearch; import org.apache.geaflow.ai.service.ServerMemoryCache; @@ -46,6 +54,8 @@ public class GeaFlowMemoryServer { private static final int DEFAULT_PORT = 8080; private static final ServerMemoryCache CACHE = new ServerMemoryCache(); + private static ModelConfig embeddingModelConfig = new ModelConfig(); + private EmbeddingService embeddingService = null; public static void main(String[] args) { System.setProperty("solon.app.name", SERVER_NAME); @@ -59,6 +69,32 @@ public static void main(String[] args) { app.get("/health", ctx -> { ctx.output("{\"status\":\"UP\",\"service\":\"" + SERVER_NAME + "\"}"); }); + + String externalConfigPath = app.cfg().get("config.path"); + if (StringUtils.isNotBlank(externalConfigPath)) { + java.nio.file.Path configFile = Paths.get(externalConfigPath); + if (Files.exists(configFile)) { + try { + LOGGER.info("Loading external config from: {}", externalConfigPath); + app.cfg().loadAdd(externalConfigPath); + + String model = app.cfg().getProperty("model.embedding.name", null); + String url = app.cfg().getProperty("model.embedding.url", null); + String api = app.cfg().getProperty("model.embedding.api", null); + String token = app.cfg().getProperty("model.embedding.token", null); + embeddingModelConfig = new ModelConfig(model, url, api, token); + } catch (Exception e) { + LOGGER.warn("Failed to load external config '{}': {}. Proceeding with defaults.", + externalConfigPath, e.getMessage()); + } + } else { + LOGGER.warn("External config file not found: '{}'. Using default/internal configuration.", + externalConfigPath); + } + } else { + LOGGER.info("No external config.path specified. Using embedded configuration."); + } + }); } @@ -73,8 +109,10 @@ public String test() { public String createGraph(@Body String input) { GraphSchema graphSchema = SeDeUtil.deserializeGraphSchema(input); String graphName = graphSchema.getName(); - if (graphName == null || CACHE.getGraphByName(graphName) != null) { + if (graphName == null) { throw new RuntimeException("Cannot create graph name: " + graphName); + } else if (CACHE.getGraphByName(graphName) != null) { + return "Graph exists: " + graphName; } Map entities = new HashMap<>(); for (VertexSchema vertexSchema : graphSchema.getVertexSchemaList()) { @@ -88,13 +126,20 @@ public String createGraph(@Body String input) { LocalMemoryGraphAccessor graphAccessor = new LocalMemoryGraphAccessor(graph); LOGGER.info("Success to init empty graph."); - EntityAttributeIndexStore indexStore = new EntityAttributeIndexStore(); - indexStore.initStore(new SubgraphSemanticPromptFunction(graphAccessor)); + EmbeddingIndexStore indexStore = new EmbeddingIndexStore(); + String indexFilePath = "/tmp/GraphMemoryIndexStore/" + graphName; + indexStore.initStore(graphAccessor, + new SubgraphSemanticPromptFunction(graphAccessor), + indexFilePath, embeddingModelConfig + ); + EntityAttributeIndexStore searchStore = new EntityAttributeIndexStore(); + searchStore.initStore(new SubgraphSemanticPromptFunction(graphAccessor)); LOGGER.info("Success to init EntityAttributeIndexStore."); GraphMemoryServer server = new GraphMemoryServer(); server.addGraphAccessor(graphAccessor); server.addIndexStore(indexStore); + server.addIndexStore(searchStore); LOGGER.info("Success to init GraphMemoryServer."); CACHE.putServer(server); @@ -160,8 +205,6 @@ public String addEntity(@Param("graphName") String graphName, memoryMutableGraph.addEdge(((GraphEdge) entity).getEdge()); } } - CACHE.getConsolidateServer().executeConsolidateTask( - CACHE.getServerByName(graphName).getGraphAccessors().get(0), memoryMutableGraph); return "Success to add entities, num: " + graphEntities.size(); } @@ -196,6 +239,7 @@ public String createContext(@Param("graphName") String graphName) { if (server == null) { throw new RuntimeException("Server not exist."); } + Constants.GRAPH_SEARCH_STORE_DEFAULT_TOPN = 5; String sessionId = server.createSession(); CACHE.putSession(server, sessionId); return sessionId; @@ -209,9 +253,19 @@ public String execQuery(@Param("sessionId") String sessionId, if (graphName == null) { throw new RuntimeException("Graph not exist."); } - GraphMemoryServer server = CACHE.getServerByName(graphName); + + MutableGraph mutableGraph = new MemoryMutableGraph((MemoryGraph) CACHE.getGraphByName(graphName)); + CACHE.getConsolidateServer().executeConsolidateTask( + CACHE.getServerByName(graphName).getGraphAccessors().get(0), mutableGraph, + CACHE.getServerByName(graphName).getIndexStores() + ); VectorSearch search = new VectorSearch(null, sessionId); search.addVector(new KeywordVector(query)); + List vecList = EmbeddingService.getVec(getEmbeddingService().embedding(query)); + for (double[] vec : vecList) { + search.addVector(new EmbeddingVector(vec)); + } + GraphMemoryServer server = CACHE.getServerByName(graphName); server.search(search); Context context = server.verbalize(sessionId, new SubgraphSemanticPromptFunction(server.getGraphAccessors().get(0))); @@ -229,4 +283,11 @@ public String getResult(@Param("sessionId") String sessionId) { List result = server.getSessionEntities(sessionId); return result.toString(); } + + public EmbeddingService getEmbeddingService() { + if (embeddingService == null) { + embeddingService = new EmbeddingService(embeddingModelConfig); + } + return embeddingService; + } } diff --git a/geaflow-ai/src/main/java/org/apache/geaflow/ai/GraphMemoryServer.java b/geaflow-ai/src/main/java/org/apache/geaflow/ai/GraphMemoryServer.java index b571fe540..ff67cd693 100644 --- a/geaflow-ai/src/main/java/org/apache/geaflow/ai/GraphMemoryServer.java +++ b/geaflow-ai/src/main/java/org/apache/geaflow/ai/GraphMemoryServer.java @@ -24,6 +24,7 @@ import java.util.List; import java.util.Set; import java.util.stream.Collectors; +import org.apache.geaflow.ai.common.config.Constants; import org.apache.geaflow.ai.graph.GraphAccessor; import org.apache.geaflow.ai.graph.GraphEntity; import org.apache.geaflow.ai.index.EmbeddingIndexStore; @@ -122,7 +123,9 @@ public List getSessionEntities(String sessionId) { List subGraphList = sessionManagement.getSubGraph(sessionId); Set entitySet = new HashSet<>(); for (SubGraph subGraph : subGraphList) { - entitySet.addAll(subGraph.getGraphEntityList()); + entitySet.addAll(subGraph.getGraphEntityList().stream().filter( + entity -> !Constants.SYSTEM_CONSOLIDATE_LABELS.contains(entity.getLabel()) + ).collect(Collectors.toList())); } return new ArrayList<>(entitySet); } diff --git a/geaflow-ai/src/main/java/org/apache/geaflow/ai/client/GeaFlowMemoryClientCLI.java b/geaflow-ai/src/main/java/org/apache/geaflow/ai/client/GeaFlowMemoryClientCLI.java index 870b0eb6b..b8390d05f 100644 --- a/geaflow-ai/src/main/java/org/apache/geaflow/ai/client/GeaFlowMemoryClientCLI.java +++ b/geaflow-ai/src/main/java/org/apache/geaflow/ai/client/GeaFlowMemoryClientCLI.java @@ -20,22 +20,32 @@ package org.apache.geaflow.ai.client; import com.google.gson.Gson; -import java.io.BufferedReader; -import java.io.IOException; -import java.io.InputStreamReader; -import java.io.OutputStream; +import java.io.*; +import java.math.BigInteger; import java.net.HttpURLConnection; import java.net.URL; import java.net.URLEncoder; import java.nio.charset.StandardCharsets; +import java.nio.file.Files; +import java.nio.file.Paths; +import java.security.MessageDigest; +import java.security.NoSuchAlgorithmException; import java.util.*; import java.util.stream.Collectors; import java.util.stream.IntStream; +import org.apache.commons.lang3.StringUtils; import org.apache.geaflow.ai.common.config.Constants; +import org.apache.geaflow.ai.common.model.ChatService; +import org.apache.geaflow.ai.common.model.ModelConfig; import org.apache.geaflow.ai.graph.io.*; +import org.noear.solon.core.PropsLoader; +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; public class GeaFlowMemoryClientCLI { + private static final Logger LOGGER = LoggerFactory.getLogger(GeaFlowMemoryClientCLI.class); + private static final String BASE_URL = "http://localhost:8080"; private static final String SERVER_URL = BASE_URL + "/api/test"; private static final String CREATE_URL = BASE_URL + "/graph/create"; @@ -51,9 +61,61 @@ public class GeaFlowMemoryClientCLI { private final Gson gson = new Gson(); private String currentGraphName = DEFAULT_GRAPH_NAME; private String currentSessionId = null; + private static ModelConfig chatModelConfig = new ModelConfig(); + private ChatService chatService = null; + + public static String calculateMD5(String text) { + try { + MessageDigest md = MessageDigest.getInstance("MD5"); + byte[] messageDigest = md.digest(text.getBytes(StandardCharsets.UTF_8)); + BigInteger no = new BigInteger(1, messageDigest); + StringBuilder hashText = new StringBuilder(no.toString(16)); + while (hashText.length() < 32) { + hashText.insert(0, "0"); + } + return hashText.toString(); + } catch (NoSuchAlgorithmException e) { + throw new RuntimeException(e); + } + } public static void main(String[] args) { GeaFlowMemoryClientCLI client = new GeaFlowMemoryClientCLI(); + if (args != null) { + for (int i = 0; i < args.length; i++) { + System.out.printf("arg[%d]: %s\n", i, args[i]); + } + } + String externalConfigPath = args != null ? args[0] : "/etc/geaflow_memory.properties"; + if (StringUtils.isNotBlank(externalConfigPath)) { + java.nio.file.Path configFile = Paths.get(externalConfigPath); + if (Files.exists(configFile)) { + try { + System.out.print("Loading external config from: " + externalConfigPath); + LOGGER.info("Loading external config from: {}", externalConfigPath); + File file = configFile.toFile(); + URL configUrl = file.toURI().toURL(); + Properties props = new PropsLoader().load(configUrl); + String model = props.getProperty("model.chat.name", null); + String url = props.getProperty("model.chat.url", null); + String api = props.getProperty("model.chat.api", null); + String token = props.getProperty("model.chat.token", null); + chatModelConfig = new ModelConfig(model, url, api, token); + } catch (Exception e) { + System.out.print("Failed to load external config " + e.getMessage()); + LOGGER.warn("Failed to load external config '{}': {}. Proceeding with defaults.", + externalConfigPath, e.getMessage()); + } + } else { + System.out.print("External config file not found: '" + externalConfigPath + "'. Using default/internal configuration."); + LOGGER.warn("External config file not found: '{}'. Using default/internal configuration.", + externalConfigPath); + } + } else { + System.out.print("No external config.path specified. Using embedded configuration."); + LOGGER.info("No external config.path specified. Using embedded configuration."); + } + client.start(); } @@ -190,9 +252,8 @@ private void rememberContent(String content) throws IOException { } - private String rememberChunk(String content) throws IOException { - String vertexId = "chunk_" + System.currentTimeMillis() + "_" + Math.abs(content.hashCode()); + String vertexId = calculateMD5(content); Vertex chunkVertex = new Vertex("chunk", vertexId, Collections.singletonList(content)); String vertexJson = gson.toJson(chunkVertex); @@ -221,10 +282,22 @@ private void executeQuery(String query) throws IOException { params.put("sessionId", currentSessionId); response = sendPostRequest(EXEC_URL, query, params); - System.out.println("✓ Query result:"); + System.out.println("✓ Search result:"); System.out.println("========================"); System.out.println(response); System.out.println("========================"); + String modelResponseWithRag = getChatService().chat(query + "\n[\n" + response + "]"); + System.out.println("✓ Query result:"); + System.out.println("========================"); + System.out.println(modelResponseWithRag); + System.out.println("========================"); + } + + public ChatService getChatService() { + if (chatService == null) { + chatService = new ChatService(chatModelConfig); + } + return chatService; } private String sendGetRequest(String urlStr) throws IOException { diff --git a/geaflow-ai/src/main/java/org/apache/geaflow/ai/common/config/Constants.java b/geaflow-ai/src/main/java/org/apache/geaflow/ai/common/config/Constants.java index ef2646035..3941e2444 100644 --- a/geaflow-ai/src/main/java/org/apache/geaflow/ai/common/config/Constants.java +++ b/geaflow-ai/src/main/java/org/apache/geaflow/ai/common/config/Constants.java @@ -19,16 +19,20 @@ package org.apache.geaflow.ai.common.config; +import java.util.Arrays; +import java.util.HashSet; +import java.util.Set; + public class Constants { - public static String MODEL_CONTEXT_ROLE_USER = "user"; - public static String PREFIX_V = "V"; - public static String PREFIX_E = "E"; - public static String PREFIX_GRAPH = "GRAPH"; - public static String PREFIX_TMP_SESSION = "TmpSession-"; - public static String PREFIX_SRC_ID = "srcId"; - public static String PREFIX_DST_ID = "dstId"; - public static String PREFIX_ID = "id"; + public static final String MODEL_CONTEXT_ROLE_USER = "user"; + public static final String PREFIX_V = "V"; + public static final String PREFIX_E = "E"; + public static final String PREFIX_GRAPH = "GRAPH"; + public static final String PREFIX_TMP_SESSION = "TmpSession-"; + public static final String PREFIX_SRC_ID = "srcId"; + public static final String PREFIX_DST_ID = "dstId"; + public static final String PREFIX_ID = "id"; public static int HTTP_CALL_TIMEOUT_SECONDS = 300; public static int HTTP_CONNECT_TIMEOUT_SECONDS = 300; @@ -43,10 +47,15 @@ public class Constants { public static int EMBEDDING_INDEX_STORE_FLUSH_WRITE_SIZE = 1024; public static int EMBEDDING_INDEX_STORE_SPLIT_TEXT_CHUNK_SIZE = 128; - public static double EMBEDDING_OPERATE_DEFAULT_THRESHOLD = 0.5; - public static int EMBEDDING_OPERATE_DEFAULT_TOPN = 50; + public static double EMBEDDING_OPERATE_DEFAULT_THRESHOLD = 0.6; + public static int EMBEDDING_OPERATE_DEFAULT_TOPN = 10; public static int GRAPH_SEARCH_STORE_DEFAULT_TOPN = 30; - public static String CONSOLIDATE_KEYWORD_RELATION_LABEL = "consolidate_keyword_edge"; - public static String PREFIX_COMMON_KEYWORDS = "common_keywords"; + public static final String CONSOLIDATE_KEYWORD_RELATION_LABEL = "consolidate_keyword_edge"; + public static final String CONSOLIDATE_EMBEDDING_RELATION_LABEL = "consolidate_embedding_edge"; + public static final String PREFIX_COMMON_KEYWORDS = "common_keywords"; + public static final String PREFIX_EMBEDDING_KEYWORDS = "embedding_relation"; + public static final Set SYSTEM_CONSOLIDATE_LABELS = new HashSet<>(Arrays.asList( + CONSOLIDATE_KEYWORD_RELATION_LABEL, CONSOLIDATE_EMBEDDING_RELATION_LABEL + )); } diff --git a/geaflow-ai/src/main/java/org/apache/geaflow/ai/common/model/ChatService.java b/geaflow-ai/src/main/java/org/apache/geaflow/ai/common/model/ChatService.java index 4101a6231..7b5f443cc 100644 --- a/geaflow-ai/src/main/java/org/apache/geaflow/ai/common/model/ChatService.java +++ b/geaflow-ai/src/main/java/org/apache/geaflow/ai/common/model/ChatService.java @@ -30,6 +30,10 @@ public ChatService(String model) { getModelConfig().setModel(model); } + public ChatService(ModelConfig modelConfig) { + super(modelConfig); + } + public String chat(String sentence) { RemoteModelClient model = new RemoteModelClient(); ModelContext context = ModelContext.emptyContext(); diff --git a/geaflow-ai/src/main/java/org/apache/geaflow/ai/common/model/EmbeddingService.java b/geaflow-ai/src/main/java/org/apache/geaflow/ai/common/model/EmbeddingService.java index 2ad134762..8b163534f 100644 --- a/geaflow-ai/src/main/java/org/apache/geaflow/ai/common/model/EmbeddingService.java +++ b/geaflow-ai/src/main/java/org/apache/geaflow/ai/common/model/EmbeddingService.java @@ -20,7 +20,11 @@ package org.apache.geaflow.ai.common.model; import com.google.gson.Gson; +import java.util.ArrayList; +import java.util.Arrays; import java.util.List; +import java.util.stream.Collectors; +import org.apache.commons.lang3.StringUtils; public class EmbeddingService extends AbstractModelService { @@ -33,6 +37,10 @@ public EmbeddingService(String model) { getModelConfig().setModel(model); } + public EmbeddingService(ModelConfig modelConfig) { + super(modelConfig); + } + public String embedding(String... inputs) { RemoteModelClient model = new RemoteModelClient(); ModelEmbedding context = ModelEmbedding.embedding(getModelConfig(), inputs); @@ -47,6 +55,17 @@ public String embedding(String... inputs) { return builder.toString(); } + public static List getVec(String input) { + Gson gson = new Gson(); + List jsonArray = Arrays.stream(input.split("\n")).filter( + StringUtils::isNoneBlank).collect(Collectors.toList()); + List res = new ArrayList<>(jsonArray.size()); + for (String json : jsonArray) { + res.add(gson.fromJson(json, EmbeddingResult.class).embedding); + } + return res; + } + public static class EmbeddingResult { public String input; public double[] embedding; diff --git a/geaflow-ai/src/main/java/org/apache/geaflow/ai/consolidate/ConsolidateServer.java b/geaflow-ai/src/main/java/org/apache/geaflow/ai/consolidate/ConsolidateServer.java index d446b6515..9db0fe857 100644 --- a/geaflow-ai/src/main/java/org/apache/geaflow/ai/consolidate/ConsolidateServer.java +++ b/geaflow-ai/src/main/java/org/apache/geaflow/ai/consolidate/ConsolidateServer.java @@ -23,22 +23,37 @@ import java.util.List; import org.apache.geaflow.ai.consolidate.function.ConsolidateFunction; import org.apache.geaflow.ai.consolidate.function.EmbeddingRelationFunction; -import org.apache.geaflow.ai.consolidate.function.KeywordRelationFunction; import org.apache.geaflow.ai.graph.GraphAccessor; import org.apache.geaflow.ai.graph.MutableGraph; +import org.apache.geaflow.ai.index.IndexStore; public class ConsolidateServer { private static final List functions = new ArrayList<>(); static { - functions.add(new KeywordRelationFunction()); functions.add(new EmbeddingRelationFunction()); } - public int executeConsolidateTask(GraphAccessor graphAccessor, MutableGraph graph) { - for (ConsolidateFunction function : functions) { - function.eval(graphAccessor, graph); + private final List activeFunctions; + + public ConsolidateServer() { + this.activeFunctions = functions; + } + + public ConsolidateServer(List activeFunctions) { + this.activeFunctions = activeFunctions; + } + + public List getActiveFunctions() { + return activeFunctions; + } + + public int executeConsolidateTask(GraphAccessor graphAccessor, + MutableGraph graph, + List indexStores) { + for (ConsolidateFunction function : activeFunctions) { + function.eval(graphAccessor, graph, indexStores); } return 0; } diff --git a/geaflow-ai/src/main/java/org/apache/geaflow/ai/consolidate/function/ConsolidateFunction.java b/geaflow-ai/src/main/java/org/apache/geaflow/ai/consolidate/function/ConsolidateFunction.java index 9dabdb64f..8f9261ed5 100644 --- a/geaflow-ai/src/main/java/org/apache/geaflow/ai/consolidate/function/ConsolidateFunction.java +++ b/geaflow-ai/src/main/java/org/apache/geaflow/ai/consolidate/function/ConsolidateFunction.java @@ -19,10 +19,13 @@ package org.apache.geaflow.ai.consolidate.function; +import java.util.List; import org.apache.geaflow.ai.graph.GraphAccessor; import org.apache.geaflow.ai.graph.MutableGraph; +import org.apache.geaflow.ai.index.IndexStore; public interface ConsolidateFunction { - void eval(GraphAccessor graphAccessor, MutableGraph graph); + void eval(GraphAccessor graphAccessor, MutableGraph graph, + List indexStores); } diff --git a/geaflow-ai/src/main/java/org/apache/geaflow/ai/consolidate/function/EmbeddingRelationFunction.java b/geaflow-ai/src/main/java/org/apache/geaflow/ai/consolidate/function/EmbeddingRelationFunction.java index 34976ef9c..08a64a747 100644 --- a/geaflow-ai/src/main/java/org/apache/geaflow/ai/consolidate/function/EmbeddingRelationFunction.java +++ b/geaflow-ai/src/main/java/org/apache/geaflow/ai/consolidate/function/EmbeddingRelationFunction.java @@ -19,13 +19,124 @@ package org.apache.geaflow.ai.consolidate.function; -import org.apache.geaflow.ai.graph.GraphAccessor; -import org.apache.geaflow.ai.graph.MutableGraph; +import java.util.ArrayList; +import java.util.Collections; +import java.util.Iterator; +import java.util.List; +import org.apache.geaflow.ai.common.ErrorCode; +import org.apache.geaflow.ai.common.config.Constants; +import org.apache.geaflow.ai.graph.*; +import org.apache.geaflow.ai.graph.io.Edge; +import org.apache.geaflow.ai.graph.io.EdgeSchema; +import org.apache.geaflow.ai.index.EmbeddingIndexStore; +import org.apache.geaflow.ai.index.IndexStore; +import org.apache.geaflow.ai.index.vector.EmbeddingVector; +import org.apache.geaflow.ai.index.vector.IVector; +import org.apache.geaflow.common.tuple.Tuple; +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; public class EmbeddingRelationFunction implements ConsolidateFunction { + private static final Logger LOGGER = LoggerFactory.getLogger(EmbeddingRelationFunction.class); + @Override - public void eval(GraphAccessor graphAccessor, MutableGraph graph) { + public void eval(GraphAccessor graphAccessor, MutableGraph mutableGraph, + List indexStores) { + EmbeddingIndexStore embeddingIndexStore = null; + for (IndexStore indexStore : indexStores) { + if (indexStore instanceof EmbeddingIndexStore) { + embeddingIndexStore = (EmbeddingIndexStore) indexStore; + } + } + if (embeddingIndexStore == null) { + return; + } + + embeddingIndexStore.indexNewVertices(); + + if (null == mutableGraph.getSchema().getSchema( + Constants.CONSOLIDATE_EMBEDDING_RELATION_LABEL)) { + int code = mutableGraph.addEdgeSchema(new EdgeSchema( + Constants.CONSOLIDATE_EMBEDDING_RELATION_LABEL, + Constants.PREFIX_SRC_ID, Constants.PREFIX_DST_ID, + Collections.singletonList(Constants.PREFIX_EMBEDDING_KEYWORDS) + )); + if (code != ErrorCode.SUCCESS) { + return; + } + } + + Long cnt = 0L; + Iterator vertexIterator = graphAccessor.scanVertex(); + while (vertexIterator.hasNext()) { + GraphVertex vertex = vertexIterator.next(); + boolean existRelation = false; + Iterator neighborIterator = graphAccessor.scanEdge(vertex); + while (neighborIterator.hasNext()) { + GraphEdge existEdge = neighborIterator.next(); + if (existEdge.getLabel().equals(Constants.CONSOLIDATE_EMBEDDING_RELATION_LABEL)) { + existRelation = true; + break; + } + } + if (existRelation) { + continue; + } + //Traverse other vertices, sort them by vector cosine similarity in ascending order, + // and insert the relationship edges in a binary fashion. + List embedding = embeddingIndexStore.getEntityIndex(vertex); + Iterator relationIterator = graphAccessor.scanVertex(); + List results = new ArrayList<>(); + + List> similarityList = new ArrayList<>(); + while (relationIterator.hasNext()) { + GraphVertex relateVertex = relationIterator.next(); + if (vertex.equals(relateVertex)) { + continue; + } + List relateVertexEmbedding = + embeddingIndexStore.getEntityIndex(relateVertex); + double relRatio = calRel(embedding, relateVertexEmbedding); + similarityList.add(new Tuple<>(relateVertex, relRatio)); + } + similarityList.sort((a, b) -> Double.compare(b.getF1(), a.getF1())); + + int currentIndex = 0; + int step = 1; + + while (currentIndex < similarityList.size()) { + results.add(similarityList.get(currentIndex).getF0()); + step *= 2; + currentIndex = step - 1; + } + + for (GraphEntity relateEntity : results) { + if (relateEntity instanceof GraphVertex) { + String srcId = vertex.getVertex().getId(); + String dstId = ((GraphVertex) relateEntity).getVertex().getId(); + mutableGraph.addEdge(new Edge( + Constants.CONSOLIDATE_EMBEDDING_RELATION_LABEL, + srcId, dstId, + Collections.singletonList(Constants.PREFIX_EMBEDDING_KEYWORDS) + )); + } + } + + cnt++; + LOGGER.info("Process vertex num: {}", cnt); + } + } + private static double calRel(List vecAList, List vecBList) { + double max = 0.0; + for (IVector vec : vecAList) { + if (vec instanceof EmbeddingVector) { + for (IVector vecB : vecBList) { + max = Math.max(max, vec.match(vecB)); + } + } + } + return max; } } diff --git a/geaflow-ai/src/main/java/org/apache/geaflow/ai/consolidate/function/KeywordRelationFunction.java b/geaflow-ai/src/main/java/org/apache/geaflow/ai/consolidate/function/KeywordRelationFunction.java index 29291eea2..6670ae8cc 100644 --- a/geaflow-ai/src/main/java/org/apache/geaflow/ai/consolidate/function/KeywordRelationFunction.java +++ b/geaflow-ai/src/main/java/org/apache/geaflow/ai/consolidate/function/KeywordRelationFunction.java @@ -29,9 +29,9 @@ import org.apache.geaflow.ai.graph.io.Edge; import org.apache.geaflow.ai.graph.io.EdgeSchema; import org.apache.geaflow.ai.index.EntityAttributeIndexStore; +import org.apache.geaflow.ai.index.IndexStore; import org.apache.geaflow.ai.index.vector.KeywordVector; import org.apache.geaflow.ai.search.VectorSearch; -import org.apache.geaflow.ai.verbalization.SubgraphSemanticPromptFunction; import org.slf4j.Logger; import org.slf4j.LoggerFactory; @@ -40,10 +40,17 @@ public class KeywordRelationFunction implements ConsolidateFunction { private static final Logger LOGGER = LoggerFactory.getLogger(KeywordRelationFunction.class); @Override - public void eval(GraphAccessor graphAccessor, MutableGraph mutableGraph) { - EntityAttributeIndexStore indexStore = new EntityAttributeIndexStore(); - indexStore.initStore(new SubgraphSemanticPromptFunction(graphAccessor)); - LOGGER.info("Success to init EntityAttributeIndexStore."); + public void eval(GraphAccessor graphAccessor, MutableGraph mutableGraph, + List indexStores) { + EntityAttributeIndexStore indexStore = null; + for (IndexStore store : indexStores) { + if (store instanceof EntityAttributeIndexStore) { + indexStore = (EntityAttributeIndexStore) store; + } + } + if (indexStore == null) { + return; + } GraphMemoryServer server = new GraphMemoryServer(); server.addGraphAccessor(graphAccessor); server.addIndexStore(indexStore); diff --git a/geaflow-ai/src/main/java/org/apache/geaflow/ai/index/EmbeddingIndexStore.java b/geaflow-ai/src/main/java/org/apache/geaflow/ai/index/EmbeddingIndexStore.java index 8fae2e1f0..4640a07fb 100644 --- a/geaflow-ai/src/main/java/org/apache/geaflow/ai/index/EmbeddingIndexStore.java +++ b/geaflow-ai/src/main/java/org/apache/geaflow/ai/index/EmbeddingIndexStore.java @@ -35,6 +35,7 @@ import org.apache.geaflow.ai.graph.GraphVertex; import org.apache.geaflow.ai.index.vector.EmbeddingVector; import org.apache.geaflow.ai.index.vector.IVector; +import org.apache.geaflow.ai.operator.SearchUtils; import org.apache.geaflow.ai.verbalization.VerbalizationFunction; import org.slf4j.Logger; import org.slf4j.LoggerFactory; @@ -48,6 +49,9 @@ public class EmbeddingIndexStore implements IndexStore { private String indexFilePath; private ModelConfig modelConfig; private Map> indexStoreMap; + private Map embeddingResultCache; + private List flushBuffer = new ArrayList<>(); + private EmbeddingService service = new EmbeddingService(); public void initStore(GraphAccessor graphAccessor, VerbalizationFunction func, String indexFilePath, ModelConfig modelInfo) { @@ -56,6 +60,7 @@ public void initStore(GraphAccessor graphAccessor, VerbalizationFunction func, this.indexFilePath = indexFilePath; this.modelConfig = modelInfo; this.indexStoreMap = new HashMap<>(); + this.embeddingResultCache = new HashMap<>(); //Read index items from indexFilePath Map key2EntityMap = new HashMap<>(); @@ -93,7 +98,7 @@ public void initStore(GraphAccessor graphAccessor, VerbalizationFunction func, String line; while ((line = reader.readLine()) != null) { line = line.trim(); - if (line.isEmpty()) { + if (StringUtils.isBlank(line)) { continue; } try { @@ -103,6 +108,8 @@ public void initStore(GraphAccessor graphAccessor, VerbalizationFunction func, GraphEntity entity = key2EntityMap.get(key); if (entity != null) { this.indexStoreMap.computeIfAbsent(entity, k -> new ArrayList<>()).add(embedding); + } else { + this.embeddingResultCache.put(key, embedding); } count++; } catch (Throwable e) { @@ -115,16 +122,17 @@ public void initStore(GraphAccessor graphAccessor, VerbalizationFunction func, LOGGER.info("Success to read index store file. items num: " + count); LOGGER.info("Success to rebuild index with file. index num: " + this.indexStoreMap.size()); - + LOGGER.info("Success to rebuild embedding cache with file. index num: " + this.embeddingResultCache.size()); //Scan entities in the graph, make new index items - EmbeddingService embeddingService = new EmbeddingService(); - embeddingService.setModelConfig(modelInfo); + service.setModelConfig(this.modelConfig); + indexNewVertices(); + } + public void indexNewVertices() { final int BATCH_SIZE = Constants.EMBEDDING_INDEX_STORE_BATCH_SIZE; List pendingEntities = new ArrayList<>(BATCH_SIZE); Set batchEntitiesBuffer = new HashSet<>(BATCH_SIZE); - List result = new ArrayList<>(); final int REPORT_SIZE = Constants.EMBEDDING_INDEX_STORE_REPORT_SIZE; long reportedCount = this.indexStoreMap.size(); long addedCount = this.indexStoreMap.size(); @@ -133,12 +141,18 @@ public void initStore(GraphAccessor graphAccessor, VerbalizationFunction func, // Scan vertices or edges, skip already indexed data, // add un-indexed data to batch processing collection - if (!indexStoreMap.containsKey(vertex) && !batchEntitiesBuffer.contains(vertex)) { + List verVertex = verbFunc.verbalize(vertex); + if (verVertex.stream().allMatch(s -> embeddingResultCache.containsKey(s))) { + for (String str : verVertex) { + this.indexStoreMap.computeIfAbsent(vertex, k -> new ArrayList<>()) + .add(embeddingResultCache.get(str)); + } + } else if (!indexStoreMap.containsKey(vertex) && !batchEntitiesBuffer.contains(vertex)) { batchEntitiesBuffer.add(vertex); pendingEntities.add(vertex); if (pendingEntities.size() >= BATCH_SIZE) { - result.addAll(indexBatch(embeddingService, pendingEntities)); - flushBatchIndex(result, false); + flushBuffer.addAll(indexBatch(pendingEntities)); + flushBatchIndex(false); pendingEntities.clear(); batchEntitiesBuffer.clear(); addedCount += BATCH_SIZE; @@ -147,12 +161,18 @@ public void initStore(GraphAccessor graphAccessor, VerbalizationFunction func, for (Iterator itE = graphAccessor.scanEdge(vertex); itE.hasNext(); ) { GraphEdge edge = itE.next(); - if (!indexStoreMap.containsKey(edge) && !batchEntitiesBuffer.contains(edge)) { + List verEdge = verbFunc.verbalize(edge); + if (verEdge.stream().allMatch(s -> embeddingResultCache.containsKey(s))) { + for (String str : verEdge) { + this.indexStoreMap.computeIfAbsent(edge, k -> new ArrayList<>()) + .add(embeddingResultCache.get(str)); + } + } else if (!indexStoreMap.containsKey(edge) && !batchEntitiesBuffer.contains(edge)) { batchEntitiesBuffer.add(edge); pendingEntities.add(edge); if (pendingEntities.size() >= BATCH_SIZE) { - result.addAll(indexBatch(embeddingService, pendingEntities)); - flushBatchIndex(result, false); + flushBuffer.addAll(indexBatch(pendingEntities)); + flushBatchIndex(false); pendingEntities.clear(); batchEntitiesBuffer.clear(); addedCount += BATCH_SIZE; @@ -165,18 +185,17 @@ public void initStore(GraphAccessor graphAccessor, VerbalizationFunction func, } } if (pendingEntities.size() > 0) { - result.addAll(indexBatch(embeddingService, pendingEntities)); - flushBatchIndex(result, true); + flushBuffer.addAll(indexBatch(pendingEntities)); + flushBatchIndex(true); addedCount += pendingEntities.size(); pendingEntities.clear(); batchEntitiesBuffer.clear(); } - LOGGER.info("Successfully added {} new index items. Total indexed: {}", - addedCount, indexStoreMap.size()); + addedCount, indexStoreMap.size()); } - private List indexBatch(EmbeddingService service, List pendingEntities) { + private List indexBatch(List pendingEntities) { if (pendingEntities == null || service == null || pendingEntities.isEmpty()) { return new ArrayList<>(); } @@ -200,10 +219,16 @@ private List indexBatch(EmbeddingService service, List pend int end = Math.min(i + batchSize, pendingTextsList.size()); List batch = pendingTextsList.subList(i, end); String[] textsArray = batch.toArray(new String[0]); + for (int idx = 0; idx < textsArray.length; idx++) { + textsArray[idx] = SearchUtils.formatQuery(textsArray[idx]); + if (StringUtils.isBlank(textsArray[idx])) { + textsArray[idx] = "_"; + } + } String embeddingResultStr = service.embedding(textsArray); List splitResults = Arrays.asList(embeddingResultStr.trim().split("\n")); result.addAll(splitResults); - + assert splitResults.size() == textsArray.length; } List formatResult = new ArrayList<>(); @@ -224,20 +249,20 @@ private List indexBatch(EmbeddingService service, List pend return formatResult; } - private void flushBatchIndex(List newItemStrings, boolean force) { + private void flushBatchIndex(boolean force) { final int WRITE_SIZE = Constants.EMBEDDING_INDEX_STORE_FLUSH_WRITE_SIZE; - if (force || newItemStrings.size() >= WRITE_SIZE) { + if (force || flushBuffer.size() >= WRITE_SIZE) { try (FileWriter fw = new FileWriter(this.indexFilePath, true); BufferedWriter writer = new BufferedWriter(fw); PrintWriter out = new PrintWriter(writer)) { - for (String item : newItemStrings) { + for (String item : flushBuffer) { out.println(item); } - LOGGER.info("Success to append " + newItemStrings.size() + " new index items to file."); + LOGGER.info("Success to append " + flushBuffer.size() + " new index items to file."); } catch (IOException e) { throw new RuntimeException("Failed to append to index file: " + this.indexFilePath, e); } - newItemStrings.clear(); + flushBuffer.clear(); } } @@ -254,4 +279,23 @@ public List getEntityIndex(GraphEntity entity) { } return Collections.emptyList(); } + + @Override + public List getStringIndex(String str) { + if (embeddingResultCache.containsKey(str)) { + EmbeddingService.EmbeddingResult embedding = embeddingResultCache.get(str); + List result = new ArrayList<>(); + result.add(new EmbeddingVector(embedding.embedding)); + return result; + } + String embeddingResultStr = service.embedding(str); + EmbeddingService.EmbeddingResult embedding = + new Gson().fromJson(embeddingResultStr, EmbeddingService.EmbeddingResult.class); + embeddingResultCache.put(str, embedding); + flushBuffer.add(embeddingResultStr); + flushBatchIndex(true); + List result = new ArrayList<>(); + result.add(new EmbeddingVector(embedding.embedding)); + return result; + } } diff --git a/geaflow-ai/src/main/java/org/apache/geaflow/ai/index/EntityAttributeIndexStore.java b/geaflow-ai/src/main/java/org/apache/geaflow/ai/index/EntityAttributeIndexStore.java index aa9823876..5bf521068 100644 --- a/geaflow-ai/src/main/java/org/apache/geaflow/ai/index/EntityAttributeIndexStore.java +++ b/geaflow-ai/src/main/java/org/apache/geaflow/ai/index/EntityAttributeIndexStore.java @@ -20,6 +20,7 @@ package org.apache.geaflow.ai.index; import java.util.ArrayList; +import java.util.Collections; import java.util.List; import org.apache.geaflow.ai.graph.GraphEdge; import org.apache.geaflow.ai.graph.GraphEntity; @@ -59,4 +60,13 @@ public List getEntityIndex(GraphEntity entity) { return results; } } + + @Override + public List getStringIndex(String str) { + KeywordVector keywordVector = + new KeywordVector(Collections.singletonList(str).toArray(new String[0])); + List results = new ArrayList<>(); + results.add(keywordVector); + return results; + } } diff --git a/geaflow-ai/src/main/java/org/apache/geaflow/ai/index/IndexStore.java b/geaflow-ai/src/main/java/org/apache/geaflow/ai/index/IndexStore.java index 53d1d8e51..89b322e89 100644 --- a/geaflow-ai/src/main/java/org/apache/geaflow/ai/index/IndexStore.java +++ b/geaflow-ai/src/main/java/org/apache/geaflow/ai/index/IndexStore.java @@ -26,4 +26,6 @@ public interface IndexStore { List getEntityIndex(GraphEntity entity); + + List getStringIndex(String str); } diff --git a/geaflow-ai/src/main/java/org/apache/geaflow/ai/index/IndexStoreCache.java b/geaflow-ai/src/main/java/org/apache/geaflow/ai/index/IndexStoreCache.java deleted file mode 100644 index 6401b366b..000000000 --- a/geaflow-ai/src/main/java/org/apache/geaflow/ai/index/IndexStoreCache.java +++ /dev/null @@ -1,52 +0,0 @@ -/* - * Licensed to the Apache Software Foundation (ASF) under one - * or more contributor license agreements. See the NOTICE file - * distributed with this work for additional information - * regarding copyright ownership. The ASF licenses this file - * to you under the Apache License, Version 2.0 (the - * "License"); you may not use this file except in compliance - * with the License. You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, - * software distributed under the License is distributed on an - * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY - * KIND, either express or implied. See the License for the - * specific language governing permissions and limitations - * under the License. - */ - -package org.apache.geaflow.ai.index; - -import java.util.ArrayList; -import java.util.List; -import org.apache.geaflow.ai.graph.GraphEdge; -import org.apache.geaflow.ai.graph.GraphVertex; -import org.apache.geaflow.ai.index.vector.IVector; - -public class IndexStoreCache { - - public static final IndexStoreCache CACHE = new IndexStoreCache(); - public static final List STORE = new ArrayList<>(); - - static { - STORE.add(new EntityAttributeIndexStore()); - } - - public List getVertexIndex(GraphVertex graphVertex) { - List results = new ArrayList<>(); - for (IndexStore indexStore : STORE) { - results.addAll(indexStore.getEntityIndex(graphVertex)); - } - return results; - } - - public List getEdgeIndex(GraphEdge graphEdge) { - List results = new ArrayList<>(); - for (IndexStore indexStore : STORE) { - results.addAll(indexStore.getEntityIndex(graphEdge)); - } - return results; - } -} diff --git a/geaflow-ai/src/main/java/org/apache/geaflow/ai/index/vector/EmbeddingVector.java b/geaflow-ai/src/main/java/org/apache/geaflow/ai/index/vector/EmbeddingVector.java index 61cd80ee6..bac743e64 100644 --- a/geaflow-ai/src/main/java/org/apache/geaflow/ai/index/vector/EmbeddingVector.java +++ b/geaflow-ai/src/main/java/org/apache/geaflow/ai/index/vector/EmbeddingVector.java @@ -72,6 +72,9 @@ public VectorType getType() { return VectorType.EmbeddingVector; } + public double[] getVec() { + return vec; + } @Override public String toString() { diff --git a/geaflow-ai/src/main/java/org/apache/geaflow/ai/index/vector/VectorUtils.java b/geaflow-ai/src/main/java/org/apache/geaflow/ai/index/vector/VectorUtils.java new file mode 100644 index 000000000..0a2bd69ea --- /dev/null +++ b/geaflow-ai/src/main/java/org/apache/geaflow/ai/index/vector/VectorUtils.java @@ -0,0 +1,155 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, + * software distributed under the License is distributed on an + * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY + * KIND, either express or implied. See the License for the + * specific language governing permissions and limitations + * under the License. + */ + +package org.apache.geaflow.ai.index.vector; + +import java.util.ArrayList; +import java.util.List; + +public class VectorUtils { + + /** + * Compute normalized average vector (A+B)/2 + * Represents the common content between two vectors. + */ + public static List common(List vectorListA, List vectorListB) { + List result = new ArrayList<>(); + for (int i = 0; i < vectorListA.size(); i++) { + if (!(vectorListA.get(i) instanceof EmbeddingVector)) { + continue; + } + EmbeddingVector vecA = (EmbeddingVector) vectorListA.get(i); + for (int l = 0; l < vectorListB.size(); l++) { + if (!(vectorListB.get(l) instanceof EmbeddingVector)) { + continue; + } + EmbeddingVector vecB = (EmbeddingVector) vectorListB.get(l); + + double[] avgVec = new double[vecA.getVec().length]; + for (int j = 0; j < vecA.getVec().length; j++) { + avgVec[j] = (vecA.getVec()[j] + vecB.getVec()[j]) / 2; + } + + // Normalize the average vector + result.add(normalize(new EmbeddingVector(avgVec))); + } + } + + return result; + } + + /** + * Compute normalized difference vector A-B + * Represents the change direction from B to A. + */ + public static List diff(List vectorListA, List vectorListB) { + List result = new ArrayList<>(); + for (int i = 0; i < vectorListA.size(); i++) { + if (!(vectorListA.get(i) instanceof EmbeddingVector)) { + continue; + } + EmbeddingVector vecA = (EmbeddingVector) vectorListA.get(i); + for (int l = 0; l < vectorListB.size(); l++) { + if (!(vectorListB.get(l) instanceof EmbeddingVector)) { + continue; + } + EmbeddingVector vecB = (EmbeddingVector) vectorListB.get(l); + + double[] diffVec = new double[vecA.getVec().length]; + for (int j = 0; j < vecA.getVec().length; j++) { + diffVec[j] = vecA.getVec()[j] - vecB.getVec()[j]; + } + + // Normalize the difference vector + result.add(normalize(new EmbeddingVector(diffVec))); + } + } + + return result; + } + + /** + * Compute normalized orthogonal difference vector A - (A·B)B + * Represents the unique content in A that is independent of B. + */ + public static List unique(List vectorListA, List vectorListB) { + List result = new ArrayList<>(); + for (int i = 0; i < vectorListA.size(); i++) { + if (!(vectorListA.get(i) instanceof EmbeddingVector)) { + continue; + } + EmbeddingVector vecA = (EmbeddingVector) vectorListA.get(i); + for (int l = 0; l < vectorListB.size(); l++) { + if (!(vectorListB.get(l) instanceof EmbeddingVector)) { + continue; + } + EmbeddingVector vecB = (EmbeddingVector) vectorListB.get(l); + // Compute dot product A·B + double dotProduct = 0.0; + for (int j = 0; j < vecA.getVec().length; j++) { + dotProduct += vecA.getVec()[j] * vecB.getVec()[j]; + } + + // Compute projection (A·B)B + double[] projection = new double[vecA.getVec().length]; + for (int j = 0; j < vecA.getVec().length; j++) { + projection[j] = dotProduct * vecB.getVec()[j]; + } + + // Compute orthogonal difference A - (A·B)B + double[] uniqueVec = new double[vecA.getVec().length]; + for (int j = 0; j < vecA.getVec().length; j++) { + uniqueVec[j] = vecA.getVec()[j] - projection[j]; + } + + // Normalize the orthogonal difference vector + result.add(normalize(new EmbeddingVector(uniqueVec))); + } + } + + return result; + } + + /** + * Normalize vector (convert to unit vector). + */ + private static EmbeddingVector normalize(EmbeddingVector vector) { + double[] vec = vector.getVec(); + + // Compute L2 norm + double norm = 0.0; + for (double v : vec) { + norm += v * v; + } + norm = Math.sqrt(norm); + + // Return original vector if norm is zero (avoid division by zero) + if (norm == 0.0) { + return vector; + } + + // Normalize the vector + double[] normalized = new double[vec.length]; + for (int i = 0; i < vec.length; i++) { + normalized[i] = vec[i] / norm; + } + + return new EmbeddingVector(normalized); + } +} diff --git a/geaflow-ai/src/main/java/org/apache/geaflow/ai/operator/CASTSOperator.java b/geaflow-ai/src/main/java/org/apache/geaflow/ai/operator/CASTSOperator.java new file mode 100644 index 000000000..1a8bcc3ba --- /dev/null +++ b/geaflow-ai/src/main/java/org/apache/geaflow/ai/operator/CASTSOperator.java @@ -0,0 +1,45 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, + * software distributed under the License is distributed on an + * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY + * KIND, either express or implied. See the License for the + * specific language governing permissions and limitations + * under the License. + */ + +package org.apache.geaflow.ai.operator; + +import java.util.ArrayList; +import java.util.List; +import java.util.Objects; +import org.apache.geaflow.ai.graph.GraphAccessor; +import org.apache.geaflow.ai.index.IndexStore; +import org.apache.geaflow.ai.search.VectorSearch; +import org.apache.geaflow.ai.subgraph.SubGraph; + +public class CASTSOperator implements SearchOperator { + + private final GraphAccessor graphAccessor; + private final IndexStore indexStore; + + public CASTSOperator(GraphAccessor accessor, IndexStore store) { + this.graphAccessor = Objects.requireNonNull(accessor); + this.indexStore = Objects.requireNonNull(store); + } + + @Override + public List apply(List subGraphList, VectorSearch search) { + return new ArrayList<>(); + } + +} diff --git a/geaflow-ai/src/main/java/org/apache/geaflow/ai/operator/EmbeddingOperator.java b/geaflow-ai/src/main/java/org/apache/geaflow/ai/operator/EmbeddingOperator.java index 849f53ee4..6d16828bc 100644 --- a/geaflow-ai/src/main/java/org/apache/geaflow/ai/operator/EmbeddingOperator.java +++ b/geaflow-ai/src/main/java/org/apache/geaflow/ai/operator/EmbeddingOperator.java @@ -23,26 +23,34 @@ import java.util.stream.Collectors; import org.apache.geaflow.ai.common.config.Constants; import org.apache.geaflow.ai.graph.GraphAccessor; +import org.apache.geaflow.ai.graph.GraphEdge; import org.apache.geaflow.ai.graph.GraphEntity; import org.apache.geaflow.ai.graph.GraphVertex; import org.apache.geaflow.ai.index.IndexStore; import org.apache.geaflow.ai.index.vector.EmbeddingVector; import org.apache.geaflow.ai.index.vector.IVector; import org.apache.geaflow.ai.index.vector.VectorType; +import org.apache.geaflow.ai.index.vector.VectorUtils; import org.apache.geaflow.ai.search.VectorSearch; import org.apache.geaflow.ai.subgraph.SubGraph; +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; public class EmbeddingOperator implements SearchOperator { + private static final Logger LOGGER = LoggerFactory.getLogger(EmbeddingOperator.class); + private final GraphAccessor graphAccessor; private final IndexStore indexStore; - private double threshold; - private int topN; + private final double entityCosThreshold; + private final double diffCosThreshold; + private final int topN; public EmbeddingOperator(GraphAccessor accessor, IndexStore store) { this.graphAccessor = Objects.requireNonNull(accessor); this.indexStore = Objects.requireNonNull(store); - this.threshold = Constants.EMBEDDING_OPERATE_DEFAULT_THRESHOLD; + this.entityCosThreshold = Constants.EMBEDDING_OPERATE_DEFAULT_THRESHOLD; + this.diffCosThreshold = this.entityCosThreshold - 0.1; this.topN = Constants.EMBEDDING_OPERATE_DEFAULT_TOPN; } @@ -55,7 +63,7 @@ public List apply(List subGraphList, VectorSearch search) { } return new ArrayList<>(subGraphList); } - List globalResults = searchWithGlobalGraph(queryEmbeddingVectors); + List globalResults = searchWithGlobalGraph(queryEmbeddingVectors, graphAccessor.scanVertex()); if (subGraphList == null || subGraphList.isEmpty()) { List startVertices = new ArrayList<>(); for (GraphEntity resEntity : globalResults) { @@ -70,17 +78,19 @@ public List apply(List subGraphList, VectorSearch search) { return subGraph; }).collect(Collectors.toList()); } else { - Map> extendEntityIndexMap = new HashMap<>(); //Traverse all extension points of the subgraph and search within the extension area + List activeVertices = new ArrayList<>(); for (SubGraph subGraph : subGraphList) { - List extendEntities = getSubgraphExpand(subGraph); - for (GraphEntity extendEntity : extendEntities) { - List entityIndex = indexStore.getEntityIndex(extendEntity); - extendEntityIndexMap.put(extendEntity, entityIndex); + List entityList = subGraph.getGraphEntityList(); + for (GraphEntity entity : entityList) { + if (entity instanceof GraphVertex) { + activeVertices.add((GraphVertex)entity); + } } } //recall compute - List matchEntities = searchEmbeddings(queryEmbeddingVectors, extendEntityIndexMap); + List matchEntities = searchWithGlobalGraph( + queryEmbeddingVectors, activeVertices.iterator()); Set matchEntitiesSet = new HashSet<>(matchEntities); //Apply to subgraph @@ -110,21 +120,45 @@ private List getSubgraphExpand(SubGraph subGraph) { return expandEntities; } - private List searchWithGlobalGraph(List queryEmbeddingVectors) { + private List searchWithGlobalGraph(List queryEmbeddingVectors, + Iterator vertexIterator) { Map> entityIndexMap = new HashMap<>(); - Iterator vertexIterator = graphAccessor.scanVertex(); + Map> diffRelIndexMap = new HashMap<>(); while (vertexIterator.hasNext()) { GraphVertex vertex = vertexIterator.next(); //Read all vertices indices from the index and add them to the candidate set. List vertexIndex = indexStore.getEntityIndex(vertex); - entityIndexMap.put(vertex, vertexIndex); + entityIndexMap.computeIfAbsent(vertex, k -> new ArrayList<>()).addAll(vertexIndex); + Iterator neighborIterator = graphAccessor.scanEdge(vertex); + while (neighborIterator.hasNext()) { + GraphEdge relEdge = neighborIterator.next(); + String targetVertexId = vertex.getVertex().getId() + .equals(relEdge.getEdge().getSrcId()) ? relEdge.getEdge().getDstId() : relEdge.getEdge().getSrcId(); + if (vertex.getVertex().getId().equals(targetVertexId)) { + continue; + } + GraphVertex target = graphAccessor.getVertex(null, targetVertexId); + List targetIndex = indexStore.getEntityIndex(target); + List diffAB = VectorUtils.diff(vertexIndex, targetIndex); + diffRelIndexMap.computeIfAbsent(vertex, k -> new ArrayList<>()).addAll(diffAB); + List diffBA = VectorUtils.diff(targetIndex, vertexIndex); + diffRelIndexMap.computeIfAbsent(target, k -> new ArrayList<>()).addAll(diffBA); + } } //recall compute - return searchEmbeddings(queryEmbeddingVectors, entityIndexMap); + Set resultsEntities = new LinkedHashSet<>(); + List entityRes = searchEmbeddings(queryEmbeddingVectors, entityIndexMap, entityCosThreshold, topN); + List diffRes = searchEmbeddings(queryEmbeddingVectors, diffRelIndexMap, diffCosThreshold, topN); + resultsEntities.addAll(entityRes); + resultsEntities.addAll(diffRes); + LOGGER.info("Retrieved relevant entities: {}/{} , differing relation entities: {}/{}", + entityRes.size(), entityIndexMap.size(), diffRes.size(), diffRelIndexMap.size()); + return new ArrayList<>(resultsEntities); } private List searchEmbeddings(List queryEmbeddingVectors, - Map> entityIndexMap) { + Map> entityIndexMap, + double threshold, long topN) { // Extract valid query EmbeddingVectors from input List queryVectors = queryEmbeddingVectors.stream() .filter(EmbeddingVector.class::isInstance) diff --git a/geaflow-ai/src/main/java/org/apache/geaflow/ai/operator/SearchUtils.java b/geaflow-ai/src/main/java/org/apache/geaflow/ai/operator/SearchUtils.java index c60d21af3..ccd3e4f7a 100644 --- a/geaflow-ai/src/main/java/org/apache/geaflow/ai/operator/SearchUtils.java +++ b/geaflow-ai/src/main/java/org/apache/geaflow/ai/operator/SearchUtils.java @@ -28,7 +28,7 @@ public class SearchUtils { // Set of excluded characters: these will be replaced with spaces in formatQuery private static final Set EXCLUDED_CHARS = new HashSet<>(Arrays.asList( - '*', '#', '-', '?', '`', '{', '}', '[', ']', '(', ')', '>', '<', ':', '/', '.' + '*', '#', '-', '?', '`', '{', '}', '[', ']', '(', ')', '>', '<', ':', '/', '.', '"', '\'' )); // Set of allowed characters for validation in isAllAllowedChars diff --git a/geaflow-ai/src/main/java/org/apache/geaflow/ai/verbalization/SubgraphSemanticPromptFunction.java b/geaflow-ai/src/main/java/org/apache/geaflow/ai/verbalization/SubgraphSemanticPromptFunction.java index 0b3407c06..ff84ff412 100644 --- a/geaflow-ai/src/main/java/org/apache/geaflow/ai/verbalization/SubgraphSemanticPromptFunction.java +++ b/geaflow-ai/src/main/java/org/apache/geaflow/ai/verbalization/SubgraphSemanticPromptFunction.java @@ -21,6 +21,7 @@ import java.util.*; import java.util.stream.Collectors; +import org.apache.geaflow.ai.common.config.Constants; import org.apache.geaflow.ai.graph.GraphAccessor; import org.apache.geaflow.ai.graph.GraphEdge; import org.apache.geaflow.ai.graph.GraphEntity; @@ -47,6 +48,9 @@ public String verbalize(SubGraph subGraph) { GraphSchema schema = graphAccessor.getGraphSchema(); Set existsEntities = new HashSet<>(); for (GraphEntity entity : subGraph.getGraphEntityList()) { + if (Constants.SYSTEM_CONSOLIDATE_LABELS.contains(entity.getLabel())) { + continue; + } if (entity instanceof GraphVertex) { GraphVertex graphVertex = (GraphVertex) entity; if (!existsEntities.contains(graphVertex)) { diff --git a/geaflow-ai/src/main/resources/application.yml b/geaflow-ai/src/main/resources/application.yml index 71c8171f7..640b67e05 100644 --- a/geaflow-ai/src/main/resources/application.yml +++ b/geaflow-ai/src/main/resources/application.yml @@ -28,3 +28,6 @@ logging: level: root: INFO org.apache.geaflow.ai: DEBUG + +config: + path: /etc/geaflow_memory.yml diff --git a/geaflow-ai/src/test/java/org/apache/geaflow/ai/GraphMemoryTest.java b/geaflow-ai/src/test/java/org/apache/geaflow/ai/GraphMemoryTest.java index 6216cb344..76ea811fb 100644 --- a/geaflow-ai/src/test/java/org/apache/geaflow/ai/GraphMemoryTest.java +++ b/geaflow-ai/src/test/java/org/apache/geaflow/ai/GraphMemoryTest.java @@ -19,6 +19,7 @@ package org.apache.geaflow.ai; +import org.apache.geaflow.ai.common.config.Constants; import org.apache.geaflow.ai.common.model.ModelConfig; import org.apache.geaflow.ai.graph.EmptyGraphAccessor; import org.apache.geaflow.ai.graph.GraphAccessor; @@ -85,6 +86,7 @@ private String produceCycle(GraphMemoryServer server, VectorSearch search, @Test public void testLdbcMainPipeline() { + Constants.GRAPH_SEARCH_STORE_DEFAULT_TOPN = 30; LdbcPromptFormatter ldbcPromptFormatter = new LdbcPromptFormatter(); LocalMemoryGraphAccessor graphAccessor = new LocalMemoryGraphAccessor(this.getClass().getClassLoader(), diff --git a/geaflow-ai/src/test/java/org/apache/geaflow/ai/MemoryServerTest.java b/geaflow-ai/src/test/java/org/apache/geaflow/ai/MemoryServerTest.java index 73db0a1af..71aba19f5 100644 --- a/geaflow-ai/src/test/java/org/apache/geaflow/ai/MemoryServerTest.java +++ b/geaflow-ai/src/test/java/org/apache/geaflow/ai/MemoryServerTest.java @@ -28,7 +28,10 @@ import okhttp3.*; import org.apache.geaflow.ai.common.config.Constants; import org.apache.geaflow.ai.graph.io.*; -import org.junit.jupiter.api.*; +import org.junit.jupiter.api.AfterEach; +import org.junit.jupiter.api.Assertions; +import org.junit.jupiter.api.BeforeEach; +import org.junit.jupiter.api.Test; import org.noear.solon.test.SolonTest; import org.slf4j.Logger; import org.slf4j.LoggerFactory; @@ -196,29 +199,6 @@ void testQueries() throws Exception { Assertions.assertNotNull(response); sessionId = response; - api = "/query/exec"; - queryParams = new HashMap<>(); - queryParams.put("sessionId", sessionId); - queryParams.put("query", "Who is Confucius?"); - response = post(api, "", queryParams); - LOGGER.info("API: {} Response: {}", api, response); - Assertions.assertNotNull(response); - - api = "/query/result"; - queryParams = new HashMap<>(); - queryParams.put("sessionId", sessionId); - response = post(api, "", queryParams); - LOGGER.info("API: {} Response: {}", api, response); - Assertions.assertNotNull(response); - - api = "/query/exec"; - queryParams = new HashMap<>(); - queryParams.put("sessionId", sessionId); - queryParams.put("query", "What did he say?"); - response = post(api, "", queryParams); - LOGGER.info("API: {} Response: {}", api, response); - Assertions.assertNotNull(response); - api = "/query/result"; queryParams = new HashMap<>(); queryParams.put("sessionId", sessionId); diff --git a/geaflow-ai/src/test/java/org/apache/geaflow/ai/MutableGraphTest.java b/geaflow-ai/src/test/java/org/apache/geaflow/ai/MutableGraphTest.java index 1a92d7849..414a637f3 100644 --- a/geaflow-ai/src/test/java/org/apache/geaflow/ai/MutableGraphTest.java +++ b/geaflow-ai/src/test/java/org/apache/geaflow/ai/MutableGraphTest.java @@ -24,13 +24,18 @@ import java.util.stream.Collectors; import java.util.stream.IntStream; import org.apache.geaflow.ai.common.config.Constants; +import org.apache.geaflow.ai.common.model.ModelConfig; import org.apache.geaflow.ai.consolidate.ConsolidateServer; +import org.apache.geaflow.ai.consolidate.function.EmbeddingRelationFunction; +import org.apache.geaflow.ai.consolidate.function.KeywordRelationFunction; import org.apache.geaflow.ai.graph.GraphEntity; import org.apache.geaflow.ai.graph.GraphVertex; import org.apache.geaflow.ai.graph.LocalMemoryGraphAccessor; import org.apache.geaflow.ai.graph.MemoryMutableGraph; import org.apache.geaflow.ai.graph.io.*; +import org.apache.geaflow.ai.index.EmbeddingIndexStore; import org.apache.geaflow.ai.index.EntityAttributeIndexStore; +import org.apache.geaflow.ai.index.vector.EmbeddingVector; import org.apache.geaflow.ai.index.vector.KeywordVector; import org.apache.geaflow.ai.search.VectorSearch; import org.apache.geaflow.ai.verbalization.Context; @@ -177,7 +182,7 @@ public void testConsolidation() throws IOException { .mapToObj(textFileReader::getRow) .map(String::trim).collect(Collectors.toList()); for(String chunk : chunks) { - String vid = UUID.randomUUID().toString().replace("-", ""); + String vid = String.valueOf(chunk.hashCode()); memoryMutableGraph.addVertex(new Vertex(vertexSchema.getName(), vid, Collections.singletonList(chunk))); } @@ -198,10 +203,11 @@ public void testConsolidation() throws IOException { } } - - ConsolidateServer consolidate = new ConsolidateServer(); + ConsolidateServer consolidate = new ConsolidateServer( + Collections.singletonList(new KeywordRelationFunction())); int taskId = consolidate.executeConsolidateTask( - graphAccessor, memoryMutableGraph); + graphAccessor, memoryMutableGraph, + Collections.singletonList(indexStore)); LOGGER.info("Success to run consolidation task, taskId: {}.", taskId); relatedResult = searchGraphEntities(server, query, 3); @@ -233,4 +239,101 @@ private List searchGraphEntities(GraphMemoryServer server, } return server.getSessionEntities(sessionId); } + + @Test + public void testEmbeddingConsolidation() throws IOException { + GraphSchema graphSchema = new GraphSchema(); + VertexSchema vertexSchema = new VertexSchema("chunk", "id", + Collections.singletonList("text")); + EdgeSchema edgeSchema = new EdgeSchema("relation", "srcId", "dstId", + Collections.singletonList("rel")); + graphSchema.addVertex(vertexSchema); + graphSchema.addEdge(edgeSchema); + Map entities = new HashMap<>(); + entities.put(vertexSchema.getName(), new VertexGroup(vertexSchema, new ArrayList<>())); + entities.put(edgeSchema.getName(), new EdgeGroup(edgeSchema, new ArrayList<>())); + MemoryGraph graph = new MemoryGraph(graphSchema, entities); + + LocalMemoryGraphAccessor graphAccessor = new LocalMemoryGraphAccessor(graph); + MemoryMutableGraph memoryMutableGraph = new MemoryMutableGraph(graph); + LOGGER.info("Success to init empty graph."); + + TextFileReader textFileReader = new TextFileReader(10000); + textFileReader.readFile("text/Confucius"); + List chunks = IntStream.range(0, textFileReader.getRowCount()) + .mapToObj(textFileReader::getRow) + .map(String::trim).collect(Collectors.toList()); + for(String chunk : chunks) { + String vid = String.valueOf(chunk.hashCode()); + memoryMutableGraph.addVertex(new Vertex(vertexSchema.getName(), + vid, Collections.singletonList(chunk))); + } + + ModelConfig modelInfo = new ModelConfig(); + EmbeddingIndexStore embeddingStore = new EmbeddingIndexStore(); + embeddingStore.initStore(graphAccessor, + new SubgraphSemanticPromptFunction(graphAccessor), + "src/test/resources/index/ConfuciusEmbeddingIndexStore", + modelInfo); + LOGGER.info("Success to init ConfuciusEmbeddingIndexStore."); + + GraphMemoryServer server = new GraphMemoryServer(); + server.addGraphAccessor(graphAccessor); + server.addIndexStore(embeddingStore); + LOGGER.info("Success to init GraphMemoryServer."); + + GraphVertex vertexForTest = graphAccessor.scanVertex().next(); + String testId = vertexForTest.getVertex().getId(); + String query = vertexForTest.getVertex().getValues().toString(); + List relatedResult = searchGraphEntities(server, query, 3); + Assertions.assertTrue(relatedResult.isEmpty()); + LOGGER.info("query: {} result: {}", query, relatedResult); + + for (GraphEntity relatedEntity : relatedResult) { + if (relatedEntity instanceof GraphVertex) { + String relatedId = ((GraphVertex) relatedEntity).getVertex().getId(); + Assertions.assertTrue(graphAccessor.getEdge( + Constants.CONSOLIDATE_EMBEDDING_RELATION_LABEL, testId, relatedId + ).isEmpty()); + } + } + + ConsolidateServer consolidate = new ConsolidateServer( + Collections.singletonList(new EmbeddingRelationFunction())); + int taskId = consolidate.executeConsolidateTask( + graphAccessor, memoryMutableGraph, + Collections.singletonList(embeddingStore)); + LOGGER.info("Success to run consolidation task, taskId: {}.", taskId); + + double[] vec = ((EmbeddingVector)(embeddingStore.getStringIndex(query).get(0))).getVec(); + relatedResult = searchGraphEntities(server, vec, 3); + Assertions.assertFalse(relatedResult.isEmpty()); + LOGGER.info("query: {} result: {}", query, relatedResult); + + //Test for at least one related entity in result + int existNum = 0; + for (GraphEntity relatedEntity : relatedResult) { + if (relatedEntity instanceof GraphVertex) { + String relatedId = ((GraphVertex) relatedEntity).getVertex().getId(); + if(!graphAccessor.getEdge(Constants.CONSOLIDATE_EMBEDDING_RELATION_LABEL, + testId, relatedId).isEmpty()) { + existNum++; + } + } + } + LOGGER.info("relatedResult size: {} found size: {}", relatedResult.size(), existNum); + Assertions.assertTrue(existNum > 0); + } + + private List searchGraphEntities(GraphMemoryServer server, + double[] vec, int times) { + String sessionId = server.createSession(); + for (int i = 0; i < times; i++) { + VectorSearch search = new VectorSearch(null, sessionId); + search.addVector(new EmbeddingVector(vec)); + sessionId = server.search(search); + } + return server.getSessionEntities(sessionId); + } + } diff --git a/geaflow-ai/src/test/resources/index/ConfuciusEmbeddingIndexStore b/geaflow-ai/src/test/resources/index/ConfuciusEmbeddingIndexStore new file mode 100644 index 000000000..ae57db7d5 --- /dev/null +++ b/geaflow-ai/src/test/resources/index/ConfuciusEmbeddingIndexStore @@ -0,0 +1,550 @@ 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diff --git a/pom.xml b/pom.xml index 66d19baee..45243bff9 100644 --- a/pom.xml +++ b/pom.xml @@ -334,6 +334,7 @@ **/web-dashboard/** **/codegen/** **/template/*.vm + **/agent/** **/resources/graph_ldbc_sf/**/** **/resources/index/** **/resources/data/**