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README.md
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README.md
@ -27,233 +27,83 @@ The Rets-Io RETS Client - Java is a library used to access data on RETS complian
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请关注我们的知乎:https://www.zhihu.com/people/huyuchengus
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# Examples
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Simple example of a search:
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> ⚠️The [Answers](https://help.openai.com/en/articles/6233728-answers-transition-guide),
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>[Classifications](https://help.openai.com/en/articles/6272941-classifications-transition-guide),
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>and [Searches](https://help.openai.com/en/articles/6272952-search-transition-guide) APIs are deprecated,
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>and will stop working on December 3rd, 2022.
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> ⚠️OpenAI has deprecated all Engine-based APIs. See [Deprecated Endpoints](https://github.com/TheoKanning/openai-java#deprecated-endpoints) below for more info.
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# OpenAI-Java
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Java libraries for using OpenAI's GPT-3 api.
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Includes the following artifacts:
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- `api` : request/response POJOs for the GPT-3 engine, completion, and search APIs.
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- `client` : a basic retrofit client for the GPT-3 endpoints, includes the `api` module
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as well as an example project using the client.
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## Supported APIs
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- [Models](https://beta.openai.com/docs/api-reference/models)
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- [Completions](https://beta.openai.com/docs/api-reference/completions)
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- [Edits](https://beta.openai.com/docs/api-reference/edits)
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- [Embeddings](https://beta.openai.com/docs/api-reference/embeddings)
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- [Files](https://beta.openai.com/docs/api-reference/files)
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- [Fine-tunes](https://beta.openai.com/docs/api-reference/fine-tunes)
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- [Moderations](https://beta.openai.com/docs/api-reference/moderations)
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#### Deprecated by OpenAI
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- [Searches](https://beta.openai.com/docs/api-reference/searches)
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- [Classifications](https://beta.openai.com/docs/api-reference/classifications)
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- [Answers](https://beta.openai.com/docs/api-reference/answers)
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- [Engines](https://beta.openai.com/docs/api-reference/engines)
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## Usage
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### Importing into a gradle project
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`implementation 'com.theokanning.openai-gpt3-java:api:<version>'`
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or
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`implementation 'com.theokanning.openai-gpt3-java:client:<version>'`
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### Using OpenAiService
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If you're looking for the fastest solution, import the `client` and use [OpenAiService](client/src/main/java/com/theokanning/openai/OpenAiService.java).
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```
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public static void main(String[] args) throws MalformedURLException {
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//Create a RetsHttpClient (other constructors provide configuration i.e. timeout, gzip capability)
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RetsHttpClient httpClient = new CommonsHttpClient();
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RetsVersion retsVersion = RetsVersion.RETS_1_7_2;
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String loginUrl = "http://theurloftheretsserver.com";
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//Create a RetesSession with RetsHttpClient
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RetsSession session = new RetsSession(loginUrl, httpClient, retsVersion);
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String username = "username";
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String password = "password";
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//Set method as GET or POST
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session.setMethod("POST");
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try {
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//Login
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session.login(username, password);
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} catch (RetsException e) {
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e.printStackTrace();
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}
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String sQuery = "(Member_num=.ANY.)";
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String sResource = "Property";
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String sClass = "Residential";
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//Create a SearchRequest
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SearchRequest request = new SearchRequest(sResource, sClass, sQuery);
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//Select only available fields
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String select ="field1,field2,field3,field4,field5";
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request.setSelect(select);
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//Set request to retrive count if desired
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request.setCountFirst();
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SearchResultImpl response;
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try {
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//Execute the search
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response= (SearchResultImpl) session.search(request);
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//Print out count and columns
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int count = response.getCount();
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System.out.println("COUNT: " + count);
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System.out.println("COLUMNS: " + StringUtils.join(response.getColumns(), "\t"));
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//Iterate over, print records
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for (int row = 0; row < response.getRowCount(); row++){
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System.out.println("ROW"+ row +": " + StringUtils.join(response.getRow(row), "\t"));
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}
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} catch (RetsException e) {
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e.printStackTrace();
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}
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finally {
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if(session != null) {
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try {
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session.logout();
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}
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catch(RetsException e) {
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e.printStackTrace();
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}
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}
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}
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OpenAiService service = new OpenAiService("your_token");
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CompletionRequest completionRequest = CompletionRequest.builder()
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.prompt("Somebody once told me the world is gonna roll me")
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.model("ada")
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.echo(true)
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.build();
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service.createCompletion(completionRequest).getChoices().forEach(System.out::println);
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```
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Simple example making a GetObjectRequest:
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### Using OpenAiApi Retrofit client
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If you're using retrofit, you can import the `client` module and use the [OpenAiApi](client/src/main/java/com/theokanning/openai/OpenAiApi.java).
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You'll have to add your auth token as a header (see [AuthenticationInterceptor](client/src/main/java/com/theokanning/openai/AuthenticationInterceptor.java))
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and set your converter factory to use snake case and only include non-null fields.
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### Using data classes only
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If you want to make your own client, just import the POJOs from the `api` module.
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Your client will need to use snake case to work with the OpenAI API.
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## Running the example project
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All the [example](example/src/main/java/example/OpenAiApiExample.java) project requires is your OpenAI api token
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```
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public static void main(String[] args) throws MalformedURLException {
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//Create a RetsHttpClient (other constructors provide configuration i.e. timeout, gzip capability)
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RetsHttpClient httpClient = new CommonsHttpClient();
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RetsVersion retsVersion = RetsVersion.RETS_1_7_2;
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String loginUrl = "http://theurloftheretsserver.com";
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//Create a RetesSession with RetsHttpClient
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RetsSession session = new RetsSession(loginUrl, httpClient, retsVersion);
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String username = "username";
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String password = "password";
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try {
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//Login
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session.login(username, password);
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} catch (RetsException e) {
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e.printStackTrace();
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}
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String sResource = "Property";
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String objType = "Photo";
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String seqNum = "*"; // * denotes get all pictures associated with id (from Rets Spec)
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List<String> idsList = Arrays.asList("331988","152305","243374");
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try {
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//Create a GetObjectRequeset
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GetObjectRequest req = new GetObjectRequest(sResource, objType);
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//Add the list of ids to request on (ids can be determined from records)
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Iterator<String> idsIter = idsList.iterator();
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while(idsIter.hasNext()) {
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req.addObject(idsIter.next(), seqNum);
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}
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//Execute the retrieval of objects
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Iterator<SingleObjectResponse> singleObjectResponseIter = session.getObject(req).iterator();
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//Iterate over each Object
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while (singleObjectResponseIter.hasNext()) {
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SingleObjectResponse sor = (SingleObjectResponse)singleObjectResponseIter.next();
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//Retrieve in info and print
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String type = sor.getType();
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String contentID = sor.getContentID();
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String objectID = sor.getObjectID();
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String description = sor.getDescription();
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String location = sor.getLocation();
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InputStream is = sor.getInputStream();
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System.out.print("type:" + type);
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System.out.print(" ,contentID:" + contentID);
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System.out.print(" ,objectID:" + objectID);
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System.out.println(" ,description:" + description);
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System.out.println("location:" + location);
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//Download object
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try {
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String dest = "/path/of/dowload/loaction";
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int size = is.available();
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String filename = dest + contentID +"-" + objectID + ".jpeg";
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OutputStream out = new FileOutputStream(new File(filename));
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int read = 0;
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byte[] bytes = new byte[1024];
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while ((read = is.read(bytes)) != -1) {
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out.write(bytes, 0, read);
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}
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is.close();
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out.flush();
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out.close();
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System.out.println("New file with size " + size + " created: " + filename);
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} catch (IOException e) {
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System.out.println(e.getMessage());
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}
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}
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} catch (RetsException e) {
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e.printStackTrace();
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}
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finally {
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if(session != null) {
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try {
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session.logout();
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}
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catch (RetsException e) {
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e.printStackTrace();
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}
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}
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}
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}
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export OPENAI_TOKEN="sk-XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX"
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./gradlew example:run
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```
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Example of Geting Metadata:
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## Deprecated Endpoints
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OpenAI has deprecated engine-based endpoints in favor of model-based endpoints.
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For example, instead of using `v1/engines/{engine_id}/completions`, switch to `v1/completions` and specify the model in the `CompletionRequest`.
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The code includes upgrade instructions for all deprecated endpoints.
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```
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public static void main(String[] args) throws MalformedURLException {
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//Create a RetsHttpClient (other constructors provide configuration i.e. timeout, gzip capability)
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RetsHttpClient httpClient = new CommonsHttpClient();
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RetsVersion retsVersion = RetsVersion.RETS_1_7_2;
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String loginUrl = "http://theurloftheretsserver.com";
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//Create a RetesSession with RetsHttpClient
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RetsSession session = new RetsSession(loginUrl, httpClient, retsVersion);
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String username = "username";
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String password = "password";
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//Set method as GET or POST
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session.setMethod("POST");
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try {
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//Login
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session.login(username, password);
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} catch (RetsException e) {
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e.printStackTrace();
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}
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try {
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MSystem system = session.getMetadata().getSystem();
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System.out.println(
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"SYSTEM: " + system.getSystemID() +
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" - " + system.getSystemDescription());
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for(MResource resource: system.getMResources()) {
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System.out.println(
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" RESOURCE: " + resource.getResourceID());
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for(MClass classification: resource.getMClasses()) {
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System.out.println(
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" CLASS: " + classification.getClassName() +
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" - " + classification.getDescription());
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}
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}
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}
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catch (RetsException e) {
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e.printStackTrace();
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}
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finally {
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if(session != null) {
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try {
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session.logout();
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}
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catch(RetsException e) {
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e.printStackTrace();
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}
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}
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}
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}
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```
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I won't remove the old endpoints from this library until OpenAI shuts them down.
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## License
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Published under the MIT License
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## License
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[USRealEstate RETS Client is licensed under the MIT License](https://github.com/ossez-com/reoc-mls-client/blob/master/LICENSE)
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[OpenAI-J is licensed under the MIT License](https://github.com/honeymoose/openai-j/blob/main/LICENSE)
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