HappenLee commented on code in PR #51725: URL: https://github.com/apache/doris/pull/51725#discussion_r2224920912
########## fe/fe-core/src/main/java/org/apache/doris/catalog/LLMResource.java: ########## @@ -0,0 +1,290 @@ +// 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.doris.catalog; + +import org.apache.doris.common.DdlException; +import org.apache.doris.common.proc.BaseProcResult; +import org.apache.doris.datasource.property.constants.LLMProperties; +import org.apache.doris.thrift.TLLMResource; + +import com.google.common.base.Preconditions; +import com.google.common.collect.ImmutableMap; +import com.google.common.collect.Lists; +import com.google.common.collect.Maps; +import com.google.gson.annotations.SerializedName; +import org.apache.logging.log4j.LogManager; +import org.apache.logging.log4j.Logger; + +import java.io.BufferedReader; +import java.io.IOException; +import java.io.InputStreamReader; +import java.io.OutputStream; +import java.net.HttpURLConnection; +import java.net.URL; +import java.nio.charset.StandardCharsets; +import java.util.HashMap; +import java.util.Map; + +/** + * LLM Resource + * <p> + * Syntax: + * CREATE RESOURCE "deepseek-chat" + * PROPERTIES + * ( + * 'type' = 'llm', + * 'llm.provider_type' = 'deepseek', + * 'llm.endpoint' = 'https://api.deepseek.com/chat/completions', + * 'llm.model_name' = 'deepseek-chat', + * 'llm.api_key' = 'sk-xxx', + * 'llm.temperature' = '0.7', + * 'llm.max_token' = '1024', + * 'llm.max_retries' = '3', + * 'llm.retry_delay_ms' = '1000', + * 'llm.timeout_ms' = '30000', + * ); + * <p> + */ + +public class LLMResource extends Resource { + private static final Logger LOG = LogManager.getLogger(LLMResource.class); + @SerializedName(value = "properties") + private Map<String, String> properties; + + public LLMResource() { + super(); + } + + public LLMResource(String name) { + super(name, ResourceType.LLM); + properties = Maps.newHashMap(); + } + + @Override + protected void setProperties(ImmutableMap<String, String> newProperties) throws DdlException { + Preconditions.checkState(newProperties != null); + this.properties = Maps.newHashMap(newProperties); + + LLMProperties.requiredLLMProperties(properties); + + boolean needCheck = isNeedCheck(properties); + if (LOG.isDebugEnabled()) { + LOG.debug("LLM resource need check validity: {}", needCheck); + } + if (needCheck) { + pingLLM(properties); + } + + LLMProperties.optionalLLMProperties(this.properties); + } + + protected static void pingLLM(Map<String, String> properties) throws DdlException { + try { + HttpURLConnection connection = getHttpURLConnection(properties); + + int responseCode = connection.getResponseCode(); + + if (responseCode == HttpURLConnection.HTTP_OK) { + LOG.info("Successfully connected to LLM API at {}", properties.get(LLMProperties.ENDPOINT)); + } else { + StringBuilder response = new StringBuilder(); + try (BufferedReader br = new BufferedReader( + new InputStreamReader(connection.getErrorStream(), StandardCharsets.UTF_8))) { + String responseLine; + while ((responseLine = br.readLine()) != null) { + response.append(responseLine.trim()); + } + } + + throw new DdlException("Failed to connect to LLM API: HTTP " + responseCode + + ". Response: " + response); + } + + } catch (IOException e) { + throw new DdlException("Failed to connect to LLM API: " + e.getMessage()); + } + } + + private static HttpURLConnection getHttpURLConnection(Map<String, String> properties) throws IOException { + String endpoint = properties.get(LLMProperties.ENDPOINT); + String providerType = properties.get(LLMProperties.PROVIDER_TYPE).toLowerCase(); + String modelName = properties.get(LLMProperties.MODEL_NAME); + String apiKey = properties.get(LLMProperties.API_KEY); + String anthropicVersion = properties.get(LLMProperties.ANTHROPIC_VERSION); + + URL url = new URL(endpoint); + HttpURLConnection connection = (HttpURLConnection) url.openConnection(); + connection.setRequestMethod("POST"); + connection.setRequestProperty("Content-Type", "application/json"); + + if ("gemini".equalsIgnoreCase(providerType)) { + connection.setRequestProperty("x-goog-api-key", apiKey); + connection.setRequestProperty("Content-Type", "application/json"); + } else if ("anthropic".equalsIgnoreCase(providerType)) { + connection.setRequestProperty("x-api-key", apiKey); + connection.setRequestProperty("anthropic-version", anthropicVersion); + connection.setRequestProperty("Content-Type", "application/json"); + } else if (!"local".equalsIgnoreCase(providerType)) { + connection.setRequestProperty("Content-Type", "application/json"); + connection.setRequestProperty("Authorization", "Bearer " + apiKey); + } + + connection.setDoOutput(true); + connection.setConnectTimeout(10000); + connection.setReadTimeout(10000); + + String testPrompt = buildTestPrompt(providerType, modelName); + + try (OutputStream os = connection.getOutputStream()) { + byte[] input = testPrompt.getBytes(StandardCharsets.UTF_8); + os.write(input, 0, input.length); + } + return connection; + } + + private static String buildTestPrompt(String providerType, String modelName) { + switch (providerType) { + case "openai": + case "deepseek": + case "moonshot": + case "zhipu": + case "qwen": + case "minimax": + case "local": + return "{\"model\":\"" + modelName + "\",\"messages\":[{\"role\":\"user\",\"content\":\"Hello\"}]," + + "\"max_tokens\":5}"; + case "anthropic": + return "{\"model\":\"" + modelName + ",\"max_tokens\":5,\"messages\":[{\"role\":\"user\",\"content\":" + + "[{\"type\":\"text\",\"text\":\"Hello\"}]}]}"; + case "gemini": + return "{\"contents\":[{\"parts\":[{\"text\":\"Hello\"}]}],\"generationConfig\":" + + "{\"maxOutputTokens\":5}}"; + default: + return "{\"messages\":[{\"role\":\"user\",\"content\":\"Hello\"}]," + + "\"max_tokens\":5}"; + } + } + + public String getProperty(String propertyKey) { + return properties.get(propertyKey); + } + + private boolean isNeedCheck(Map<String, String> newProperties) { + boolean needCheck = !this.properties.containsKey(LLMProperties.VALIDITY_CHECK) + || Boolean.parseBoolean(this.properties.get(LLMProperties.VALIDITY_CHECK)); + + if (newProperties != null && newProperties.containsKey(LLMProperties.VALIDITY_CHECK)) { + needCheck = Boolean.parseBoolean(newProperties.get(LLMProperties.VALIDITY_CHECK)); + } + + if ("LOCAL".equalsIgnoreCase(this.properties.getOrDefault(LLMProperties.PROVIDER_TYPE, ""))) { + needCheck = false; + } + return needCheck; + } + + @Override + public void modifyProperties(Map<String, String> properties) throws DdlException { + boolean needCheck = isNeedCheck(properties); + if (LOG.isDebugEnabled()) { + LOG.debug("LLM resource need check validity: {}", needCheck); + } + + if (needCheck) { + Map<String, String> changedProperties = new HashMap<>(this.properties); + changedProperties.putAll(properties); + LLMProperties.requiredLLMProperties(changedProperties); + pingLLM(changedProperties); + } + + // modify properties + writeLock(); + for (Map.Entry<String, String> kv : properties.entrySet()) { + replaceIfEffectiveValue(this.properties, kv.getKey(), kv.getValue()); + if (kv.getKey().equals(LLMProperties.API_KEY)) { + this.properties.put(kv.getKey(), kv.getValue()); + } + } + ++version; + writeUnlock(); + super.modifyProperties(properties); + } + + @Override + public Map<String, String> getCopiedProperties() { + return Maps.newHashMap(properties); + } + + @Override + protected void getProcNodeData(BaseProcResult result) { + String lowerCaseType = type.name().toLowerCase(); + result.addRow(Lists.newArrayList(name, lowerCaseType, "id", String.valueOf(id))); + readLock(); + result.addRow(Lists.newArrayList(name, lowerCaseType, "version", String.valueOf(version))); + for (Map.Entry<String, String> entry : properties.entrySet()) { + if (entry.getKey().equals(LLMProperties.API_KEY)) { + result.addRow(Lists.newArrayList(name, lowerCaseType, entry.getKey(), "******")); + } else { + result.addRow(Lists.newArrayList(name, lowerCaseType, entry.getKey(), entry.getValue())); + } + } + readUnlock(); + } + + public TLLMResource toThrift() throws NumberFormatException { + TLLMResource tLLMResource = new TLLMResource(); Review Comment: remove the unless space -- This is an automated message from the Apache Git Service. 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