extract and split integration tests

api_integration_test.go

@@ -0,0 +1,136 @@
+package openai_test
+
+import (
+	"context"
+	"errors"
+	"io"
+	"os"
+	"testing"
+
+	. "github.com/sashabaranov/go-openai"
+	"github.com/sashabaranov/go-openai/internal/test/checks"
+)
+
+func TestAPI(t *testing.T) {
+	apiToken := os.Getenv("OPENAI_TOKEN")
+	if apiToken == "" {
+		t.Skip("Skipping testing against production OpenAI API. Set OPENAI_TOKEN environment variable to enable it.")
+	}
+
+	var err error
+	c := NewClient(apiToken)
+	ctx := context.Background()
+	_, err = c.ListEngines(ctx)
+	checks.NoError(t, err, "ListEngines error")
+
+	_, err = c.GetEngine(ctx, "davinci")
+	checks.NoError(t, err, "GetEngine error")
+
+	fileRes, err := c.ListFiles(ctx)
+	checks.NoError(t, err, "ListFiles error")
+
+	if len(fileRes.Files) > 0 {
+		_, err = c.GetFile(ctx, fileRes.Files[0].ID)
+		checks.NoError(t, err, "GetFile error")
+	} // else skip
+
+	embeddingReq := EmbeddingRequest{
+		Input: []string{
+			"The food was delicious and the waiter",
+			"Other examples of embedding request",
+		},
+		Model: AdaSearchQuery,
+	}
+	_, err = c.CreateEmbeddings(ctx, embeddingReq)
+	checks.NoError(t, err, "Embedding error")
+
+	_, err = c.CreateChatCompletion(
+		ctx,
+		ChatCompletionRequest{
+			Model: GPT3Dot5Turbo,
+			Messages: []ChatCompletionMessage{
+				{
+					Role:    ChatMessageRoleUser,
+					Content: "Hello!",
+				},
+			},
+		},
+	)
+
+	checks.NoError(t, err, "CreateChatCompletion (without name) returned error")
+
+	_, err = c.CreateChatCompletion(
+		ctx,
+		ChatCompletionRequest{
+			Model: GPT3Dot5Turbo,
+			Messages: []ChatCompletionMessage{
+				{
+					Role:    ChatMessageRoleUser,
+					Name:    "John_Doe",
+					Content: "Hello!",
+				},
+			},
+		},
+	)
+	checks.NoError(t, err, "CreateChatCompletion (with name) returned error")
+
+	stream, err := c.CreateCompletionStream(ctx, CompletionRequest{
+		Prompt:    "Ex falso quodlibet",
+		Model:     GPT3Ada,
+		MaxTokens: 5,
+		Stream:    true,
+	})
+	checks.NoError(t, err, "CreateCompletionStream returned error")
+	defer stream.Close()
+
+	counter := 0
+	for {
+		_, err = stream.Recv()
+		if err != nil {
+			if errors.Is(err, io.EOF) {
+				break
+			}
+			t.Errorf("Stream error: %v", err)
+		} else {
+			counter++
+		}
+	}
+	if counter == 0 {
+		t.Error("Stream did not return any responses")
+	}
+}
+
+func TestAPIError(t *testing.T) {
+	apiToken := os.Getenv("OPENAI_TOKEN")
+	if apiToken == "" {
+		t.Skip("Skipping testing against production OpenAI API. Set OPENAI_TOKEN environment variable to enable it.")
+	}
+
+	var err error
+	c := NewClient(apiToken + "_invalid")
+	ctx := context.Background()
+	_, err = c.ListEngines(ctx)
+	checks.HasError(t, err, "ListEngines should fail with an invalid key")
+
+	var apiErr *APIError
+	if !errors.As(err, &apiErr) {
+		t.Fatalf("Error is not an APIError: %+v", err)
+	}
+
+	if apiErr.HTTPStatusCode != 401 {
+		t.Fatalf("Unexpected API error status code: %d", apiErr.HTTPStatusCode)
+	}
+
+	switch v := apiErr.Code.(type) {
+	case string:
+		if v != "invalid_api_key" {
+			t.Fatalf("Unexpected API error code: %s", v)
+		}
+	default:
+		t.Fatalf("Unexpected API error code type: %T", v)
+	}
+
+	if apiErr.Error() == "" {
+		t.Fatal("Empty error message occurred")
+	}
+}