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api_integration_test.go
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api_integration_test.go
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//go:build integration
package openai_test
import (
"context"
"errors"
"io"
"os"
"testing"
. "github.com/sashabaranov/go-openai"
"github.com/sashabaranov/go-openai/internal/test/checks"
"github.com/sashabaranov/go-openai/jsonschema"
)
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")
}
_, err = c.CreateChatCompletion(
context.Background(),
ChatCompletionRequest{
Model: GPT3Dot5Turbo,
Messages: []ChatCompletionMessage{
{
Role: ChatMessageRoleUser,
Content: "What is the weather like in Boston?",
},
},
Functions: []FunctionDefinition{{
Name: "get_current_weather",
Parameters: jsonschema.Definition{
Type: jsonschema.Object,
Properties: map[string]jsonschema.Definition{
"location": {
Type: jsonschema.String,
Description: "The city and state, e.g. San Francisco, CA",
},
"unit": {
Type: jsonschema.String,
Enum: []string{"celsius", "fahrenheit"},
},
},
Required: []string{"location"},
},
}},
},
)
checks.NoError(t, err, "CreateChatCompletion (with functions) returned error")
}
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")
}
}