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- Add enable configuration for all model service providers - Migrate environment variables from MILVUSAI_* to MILVUS_* prefix with backward compatibility - Unify model service enable/disable logic using configuration - Add tests for environment variable parsing with fallback support #35856 Signed-off-by: junjie.jiang <junjie.jiang@zilliz.com>
181 lines
6.1 KiB
Go
181 lines
6.1 KiB
Go
// Licensed to the LF AI & Data foundation under one
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// or more contributor license agreements. See the NOTICE file
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// distributed with this work for additional information
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// regarding copyright ownership. The ASF licenses this file
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// to you under the Apache License, Version 2.0 (the
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// "License"); you may not use this file except in compliance
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// with the License. You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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package paramtable
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import (
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"strings"
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)
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type functionConfig struct {
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TextEmbeddingProviders ParamGroup `refreshable:"true"`
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RerankModelProviders ParamGroup `refreshable:"true"`
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LocalResourcePath ParamItem `refreshable:"true"`
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LinderaDownloadUrls ParamGroup `refreshable:"true"`
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}
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func (p *functionConfig) init(base *BaseTable) {
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p.TextEmbeddingProviders = ParamGroup{
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KeyPrefix: "function.textEmbedding.providers.",
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Version: "2.6.0",
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Export: true,
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DocFunc: func(key string) string {
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switch key {
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case "tei.enable":
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return "Whether to enable TEI model service"
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case "tei.credential":
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return "The name in the crendential configuration item"
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case "azure_openai.credential":
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return "The name in the crendential configuration item"
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case "azure_openai.url":
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return "Your azure openai embedding url, Default is the official embedding url"
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case "azure_openai.resource_name":
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return "Your azure openai resource name"
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case "azure_openai.enable":
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return "Whether to enable azure openai model service"
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case "openai.credential":
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return "The name in the crendential configuration item"
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case "openai.url":
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return "Your openai embedding url, Default is the official embedding url"
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case "openai.enable":
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return "Whether to enable openai model service"
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case "dashscope.credential":
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return "The name in the crendential configuration item"
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case "dashscope.url":
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return "Your dashscope embedding url, Default is the official embedding url"
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case "dashscope.enable":
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return "Whether to enable dashscope model service"
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case "cohere.credential":
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return "The name in the crendential configuration item"
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case "cohere.url":
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return "Your cohere embedding url, Default is the official embedding url"
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case "cohere.enable":
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return "Whether to enable cohere model service"
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case "voyageai.credential":
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return "The name in the crendential configuration item"
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case "voyageai.url":
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return "Your voyageai embedding url, Default is the official embedding url"
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case "voyageai.enable":
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return "Whether to enable voyageai model service"
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case "siliconflow.url":
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return "Your siliconflow embedding url, Default is the official embedding url"
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case "siliconflow.credential":
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return "The name in the crendential configuration item"
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case "siliconflow.enable":
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return "Whether to enable siliconflow model service"
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case "bedrock.credential":
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return "The name in the crendential configuration item"
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case "bedrock.enable":
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return "Whether to enable bedrock model service"
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case "vertexai.url":
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return "Your VertexAI embedding url"
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case "vertexai.credential":
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return "The name in the crendential configuration item"
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case "vertexai.enable":
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return "Whether to enable vertexai model service"
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default:
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return ""
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}
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},
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}
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p.TextEmbeddingProviders.Init(base.mgr)
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p.RerankModelProviders = ParamGroup{
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KeyPrefix: "function.rerank.model.providers.",
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Version: "2.6.0",
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Export: true,
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DocFunc: func(key string) string {
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switch key {
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case "tei.credential":
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return "The name in the crendential configuration item"
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case "tei.enable":
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return "Whether to enable TEI rerank service"
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case "vllm.credential":
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return "The name in the crendential configuration item"
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case "vllm.enable":
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return "Whether to enable vllm rerank service"
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case "siliconflow.credential":
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return "The name in the crendential configuration item"
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case "siliconflow.url":
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return "Your siliconflow rerank url, Default is the official rerank url"
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case "siliconflow.enable":
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return "Whether to enable siliconflow model service"
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case "voyageai.credential":
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return "The name in the crendential configuration item"
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case "voyageai.url":
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return "Your voyageai rerank url, Default is the official rerank url"
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case "voyageai.enable":
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return "Whether to enable voyageai model service"
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case "cohere.credential":
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return "The name in the crendential configuration item"
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case "cohere.url":
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return "Your cohere rerank url, Default is the official rerank url"
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case "cohere.enable":
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return "Whether to enable cohere model service"
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default:
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return ""
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}
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},
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}
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p.RerankModelProviders.Init(base.mgr)
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p.LocalResourcePath = ParamItem{
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Key: "function.analyzer.local_resource_path",
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Version: "2.5.16",
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Export: true,
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DefaultValue: "/var/lib/milvus/analyzer",
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}
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p.LocalResourcePath.Init(base.mgr)
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p.LinderaDownloadUrls = ParamGroup{
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KeyPrefix: "function.analyzer.lindera.download_urls",
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Version: "2.5.16",
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}
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p.LinderaDownloadUrls.Init(base.mgr)
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}
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const (
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textEmbeddingKey string = "textEmbedding"
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)
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func (p *functionConfig) GetTextEmbeddingProviderConfig(providerName string) map[string]string {
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matchedParam := make(map[string]string)
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params := p.TextEmbeddingProviders.GetValue()
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prefix := providerName + "."
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for k, v := range params {
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if strings.HasPrefix(k, prefix) {
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matchedParam[strings.TrimPrefix(k, prefix)] = v
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}
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}
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return matchedParam
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}
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func (p *functionConfig) GetRerankModelProviders(providerName string) map[string]string {
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matchedParam := make(map[string]string)
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params := p.RerankModelProviders.GetValue()
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prefix := providerName + "."
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for k, v := range params {
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if strings.HasPrefix(k, prefix) {
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matchedParam[strings.TrimPrefix(k, prefix)] = v
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}
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}
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return matchedParam
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}
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