Add support for use of AZURE_OPENAI_DEPLOYMENT_NAME in IT tests

* remove from README.md info of changed default for initialize-schema
This commit is contained in:
Mark Pollack
2024-05-26 14:26:08 -04:00
parent 7c2c0cfc18
commit c22b2f05dd
5 changed files with 24 additions and 24 deletions

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@@ -12,27 +12,6 @@ For further information go to our [Spring AI reference documentation](https://do
On our march to release 1.0.0 M1 we have made several breaking changes. Apologies, it is for the best!
**(22.25.2024)**
Vector stores that have a schema are now *not* initialized by default.
As is the convention with other Spring projects that rely on a schema, you must opt into allowing Spring to create a schema for you.
A new configuration property named `initialize-schema` has been introduced, with `false` being the default value.
Check the documentation section for your vector store's configuration properties for the full syntax.
The following vector stores have been impacted by this change
* Azure AI Search
* Chroma
* Elasticsearch
* SAP Hana
* Milvus
* MongoDB
* Neo4j
* PGVector
* Pinecone
* Qdrant
* Redis
* Weaviate
**(22.05.2024)**
A major change was made that took the 'old' `ChatClient` and moved the functionality into `ChatModel`. The 'new' `ChatClient` now takes an instance of `ChatModel`. This was done do support a fluent API for creating and executing prompts in a style similar to other client classes in the Spring ecosystem, such as `RestClient`, `WebClient`, and `JdbcClient`. Refer to the [JavaDoc](https://docs.spring.io/spring-ai/docs/1.0.0-SNAPSHOT/api/) for more information on the Fluent API, proper reference documentation is coming shortly.

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@@ -0,0 +1,17 @@
package org.springframework.ai.autoconfigure.azure.tool;
import org.springframework.util.StringUtils;
public class DeploymentNameUtil {
public static String getDeploymentName() {
String deploymentName = System.getenv("AZURE_OPENAI_DEPLOYMENT_NAME");
if (StringUtils.hasText(deploymentName)) {
return deploymentName;
}
else {
return "gpt-4-0125-preview";
}
}
}

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@@ -35,8 +35,10 @@ import org.springframework.boot.test.context.runner.ApplicationContextRunner;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.context.annotation.Description;
import org.springframework.util.StringUtils;
import static org.assertj.core.api.Assertions.assertThat;
import static org.springframework.ai.autoconfigure.azure.tool.DeploymentNameUtil.getDeploymentName;
@EnabledIfEnvironmentVariable(named = "AZURE_OPENAI_API_KEY", matches = ".+")
@EnabledIfEnvironmentVariable(named = "AZURE_OPENAI_ENDPOINT", matches = ".+")
@@ -54,7 +56,7 @@ class FunctionCallWithFunctionBeanIT {
@Test
void functionCallTest() {
contextRunner.withPropertyValues("spring.ai.azure.openai.chat.options..deployment-name=gpt-4-0125-preview")
contextRunner.withPropertyValues("spring.ai.azure.openai.chat.options..deployment-name=" + getDeploymentName())
.run(context -> {
ChatModel chatModel = context.getBean(AzureOpenAiChatModel.class);

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@@ -36,6 +36,7 @@ import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import static org.assertj.core.api.Assertions.assertThat;
import static org.springframework.ai.autoconfigure.azure.tool.DeploymentNameUtil.getDeploymentName;
@EnabledIfEnvironmentVariable(named = "AZURE_OPENAI_API_KEY", matches = ".+")
@EnabledIfEnvironmentVariable(named = "AZURE_OPENAI_ENDPOINT", matches = ".+")
@@ -53,7 +54,7 @@ public class FunctionCallWithFunctionWrapperIT {
@Test
void functionCallTest() {
contextRunner.withPropertyValues("spring.ai.azure.openai.chat.options.deployment-name=gpt-4-0125-preview")
contextRunner.withPropertyValues("spring.ai.azure.openai.chat.options.deployment-name=" + getDeploymentName())
.run(context -> {
AzureOpenAiChatModel chatModel = context.getBean(AzureOpenAiChatModel.class);

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@@ -33,6 +33,7 @@ import org.springframework.boot.autoconfigure.AutoConfigurations;
import org.springframework.boot.test.context.runner.ApplicationContextRunner;
import static org.assertj.core.api.Assertions.assertThat;
import static org.springframework.ai.autoconfigure.azure.tool.DeploymentNameUtil.getDeploymentName;
@EnabledIfEnvironmentVariable(named = "AZURE_OPENAI_API_KEY", matches = ".+")
@EnabledIfEnvironmentVariable(named = "AZURE_OPENAI_ENDPOINT", matches = ".+")
@@ -49,7 +50,7 @@ public class FunctionCallWithPromptFunctionIT {
@Test
void functionCallTest() {
contextRunner.withPropertyValues("spring.ai.azure.openai.chat.options.deployment-name=gpt-4-0125-preview")
contextRunner.withPropertyValues("spring.ai.azure.openai.chat.options.deployment-name=" + getDeploymentName())
.run(context -> {
AzureOpenAiChatModel chatModel = context.getBean(AzureOpenAiChatModel.class);