using System;
using System.ClientModel;
using System.ClientModel.Primitives;
using System.Text.Json;
using System.Threading.Tasks;
namespace OpenAI.Batch;
[CodeGenSuppress("RetrieveBatch", typeof(string), typeof(RequestOptions))]
[CodeGenSuppress("RetrieveBatchAsync", typeof(string), typeof(RequestOptions))]
[CodeGenSuppress("ListBatches", typeof(string), typeof(int?), typeof(RequestOptions))]
[CodeGenSuppress("ListBatchesAsync", typeof(string), typeof(int?), typeof(RequestOptions))]
public partial class BatchClient
{
/// <summary>
/// [Protocol Method] Creates and executes a batch from an uploaded file of requests
/// </summary>
/// <param name="waitUntilCompleted"> Value indicating whether the method
/// should return after the operation has been started and is still running
/// on the service, or wait until the operation has completed to return.
/// </param>
/// <param name="content"> The content to send as the body of the request. </param>
/// <param name="options"> The request options, which can override default behaviors of the client pipeline on a per-call basis. </param>
/// <exception cref="ArgumentNullException"> <paramref name="content"/> is null. </exception>
/// <exception cref="ClientResultException"> Service returned a non-success status code. </exception>
/// <returns> A <see cref="CreateBatchOperation"/> that can be used to wait for
/// the operation to complete, or cancel the operation. </returns>
public virtual async Task<CreateBatchOperation> CreateBatchAsync(BinaryContent content, bool waitUntilCompleted, RequestOptions options = null)
{
Argument.AssertNotNull(content, nameof(content));
using PipelineMessage message = CreateCreateBatchRequest(content, options);
PipelineResponse response = await Pipeline.ProcessMessageAsync(message, options).ConfigureAwait(false);
using JsonDocument doc = JsonDocument.Parse(response.Content);
string batchId = doc.RootElement.GetProperty("id"u8).GetString();
string status = doc.RootElement.GetProperty("status"u8).GetString();
CreateBatchOperation operation = this.CreateCreateBatchOperation(batchId, status, response);
return await operation.WaitUntilAsync(waitUntilCompleted, options).ConfigureAwait(false);
}
/// <summary>
/// [Protocol Method] Creates and executes a batch from an uploaded file of requests
/// </summary>
/// <param name="waitUntilCompleted"> Value indicating whether the method
/// should return after the operation has been started and is still running
/// on the service, or wait until the operation has completed to return.
/// </param>
/// <param name="content"> The content to send as the body of the request. </param>
/// <param name="options"> The request options, which can override default behaviors of the client pipeline on a per-call basis. </param>
/// <exception cref="ArgumentNullException"> <paramref name="content"/> is null. </exception>
/// <exception cref="ClientResultException"> Service returned a non-success status code. </exception>
/// <returns> A <see cref="CreateBatchOperation"/> that can be used to wait for
/// the operation to complete, or cancel the operation. </returns>
public virtual CreateBatchOperation CreateBatch(BinaryContent content, bool waitUntilCompleted, RequestOptions options = null)
{
Argument.AssertNotNull(content, nameof(content));
using PipelineMessage message = CreateCreateBatchRequest(content, options);
PipelineResponse response = Pipeline.ProcessMessage(message, options);
using JsonDocument doc = JsonDocument.Parse(response.Content);
string batchId = doc.RootElement.GetProperty("id"u8).GetString();
string status = doc.RootElement.GetProperty("status"u8).GetString();
CreateBatchOperation operation = this.CreateCreateBatchOperation(batchId, status, response);
return operation.WaitUntil(waitUntilCompleted, options);
}
/// <summary>
/// [Protocol Method] List your organization's batches.
/// </summary>
/// <param name="after"> A cursor for use in pagination. `after` is an object ID that defines your place in the list. For instance, if you make a list request and receive 100 objects, ending with obj_foo, your subsequent call can include after=obj_foo in order to fetch the next page of the list. </param>
/// <param name="limit"> A limit on the number of objects to be returned. Limit can range between 1 and 100, and the default is 20. </param>
/// <param name="options"> The request options, which can override default behaviors of the client pipeline on a per-call basis. </param>
/// <exception cref="ClientResultException"> Service returned a non-success status code. </exception>
/// <returns> The response returned from the service. </returns>
public virtual AsyncCollectionResult GetBatchesAsync(string after, int? limit, RequestOptions options)
{
return new AsyncBatchCollectionResult(this, Pipeline, options, limit, after);
}
/// <summary>
/// [Protocol Method] List your organization's batches.
/// </summary>
/// <param name="after"> A cursor for use in pagination. `after` is an object ID that defines your place in the list. For instance, if you make a list request and receive 100 objects, ending with obj_foo, your subsequent call can include after=obj_foo in order to fetch the next page of the list. </param>
/// <param name="limit"> A limit on the number of objects to be returned. Limit can range between 1 and 100, and the default is 20. </param>
/// <param name="options"> The request options, which can override default behaviors of the client pipeline on a per-call basis. </param>
/// <exception cref="ClientResultException"> Service returned a non-success status code. </exception>
/// <returns> The response returned from the service. </returns>
public virtual CollectionResult GetBatches(string after, int? limit, RequestOptions options)
{
return new BatchCollectionResult(this, Pipeline, options, limit, after);
}
/// <summary>
/// [Protocol Method] Retrieves a batch.
/// </summary>
/// <param name="batchId"> The ID of the batch to retrieve. </param>
/// <param name="options"> The request options, which can override default behaviors of the client pipeline on a per-call basis. </param>
/// <exception cref="ArgumentNullException"> <paramref name="batchId"/> is null. </exception>
/// <exception cref="ArgumentException"> <paramref name="batchId"/> is an empty string, and was expected to be non-empty. </exception>
/// <exception cref="ClientResultException"> Service returned a non-success status code. </exception>
/// <returns> The response returned from the service. </returns>
internal virtual async Task<ClientResult> GetBatchAsync(string batchId, RequestOptions options)
{
Argument.AssertNotNullOrEmpty(batchId, nameof(batchId));
using PipelineMessage message = CreateRetrieveBatchRequest(batchId, options);
return ClientResult.FromResponse(await Pipeline.ProcessMessageAsync(message, options).ConfigureAwait(false));
}
/// <summary>
/// [Protocol Method] Retrieves a batch.
/// </summary>
/// <param name="batchId"> The ID of the batch to retrieve. </param>
/// <param name="options"> The request options, which can override default behaviors of the client pipeline on a per-call basis. </param>
/// <exception cref="ArgumentNullException"> <paramref name="batchId"/> is null. </exception>
/// <exception cref="ArgumentException"> <paramref name="batchId"/> is an empty string, and was expected to be non-empty. </exception>
/// <exception cref="ClientResultException"> Service returned a non-success status code. </exception>
/// <returns> The response returned from the service. </returns>
internal virtual ClientResult GetBatch(string batchId, RequestOptions options)
{
Argument.AssertNotNullOrEmpty(batchId, nameof(batchId));
using PipelineMessage message = CreateRetrieveBatchRequest(batchId, options);
return ClientResult.FromResponse(Pipeline.ProcessMessage(message, options));
}
internal virtual PipelineMessage CreateCreateBatchRequest(BinaryContent content, RequestOptions options)
{
var message = Pipeline.CreateMessage();
message.ResponseClassifier = PipelineMessageClassifier200;
var request = message.Request;
request.Method = "POST";
var uri = new ClientUriBuilder();
uri.Reset(_endpoint);
uri.AppendPath("/batches", false);
request.Uri = uri.ToUri();
request.Headers.Set("Accept", "application/json");
request.Headers.Set("Content-Type", "application/json");
request.Content = content;
message.Apply(options);
return message;
}
internal virtual PipelineMessage CreateGetBatchesRequest(string after, int? limit, RequestOptions options)
{
var message = Pipeline.CreateMessage();
message.ResponseClassifier = PipelineMessageClassifier200;
var request = message.Request;
request.Method = "GET";
var uri = new ClientUriBuilder();
uri.Reset(_endpoint);
uri.AppendPath("/batches", false);
if (after != null)
{
uri.AppendQuery("after", after, true);
}
if (limit != null)
{
uri.AppendQuery("limit", limit.Value, true);
}
request.Uri = uri.ToUri();
request.Headers.Set("Accept", "application/json");
message.Apply(options);
return message;
}
internal virtual PipelineMessage CreateRetrieveBatchRequest(string batchId, RequestOptions options)
{
var message = Pipeline.CreateMessage();
message.ResponseClassifier = PipelineMessageClassifier200;
var request = message.Request;
request.Method = "GET";
var uri = new ClientUriBuilder();
uri.Reset(_endpoint);
uri.AppendPath("/batches/", false);
uri.AppendPath(batchId, true);
request.Uri = uri.ToUri();
request.Headers.Set("Accept", "application/json");
message.Apply(options);
return message;
}
internal virtual PipelineMessage CreateCancelBatchRequest(string batchId, RequestOptions options)
{
var message = Pipeline.CreateMessage();
message.ResponseClassifier = PipelineMessageClassifier200;
var request = message.Request;
request.Method = "POST";
var uri = new ClientUriBuilder();
uri.Reset(_endpoint);
uri.AppendPath("/batches/", false);
uri.AppendPath(batchId, true);
uri.AppendPath("/cancel", false);
request.Uri = uri.ToUri();
request.Headers.Set("Accept", "application/json");
message.Apply(options);
return message;
}
}openai/openai-dotnet
Publicmirrored from https://github.com/openai/openai-dotnetAvailable
src/Custom/Batch/BatchClient.Protocol.cs
204lines · modepreview