Files
go-openai/chat_test.go
sashabaranov a6b35c3ab5 Check for Stream parameter usage (#174)
* check for stream:true usage

* lint
2023-03-18 19:31:54 +04:00

148 lines
4.0 KiB
Go

package openai_test
import (
. "github.com/sashabaranov/go-openai"
"github.com/sashabaranov/go-openai/internal/test"
"context"
"encoding/json"
"errors"
"fmt"
"io"
"net/http"
"strconv"
"strings"
"testing"
"time"
)
func TestChatCompletionsWrongModel(t *testing.T) {
config := DefaultConfig("whatever")
config.BaseURL = "http://localhost/v1"
client := NewClientWithConfig(config)
ctx := context.Background()
req := ChatCompletionRequest{
MaxTokens: 5,
Model: "ada",
Messages: []ChatCompletionMessage{
{
Role: ChatMessageRoleUser,
Content: "Hello!",
},
},
}
_, err := client.CreateChatCompletion(ctx, req)
if !errors.Is(err, ErrChatCompletionInvalidModel) {
t.Fatalf("CreateChatCompletion should return wrong model error, but returned: %v", err)
}
}
func TestChatCompletionsWithStream(t *testing.T) {
config := DefaultConfig("whatever")
config.BaseURL = "http://localhost/v1"
client := NewClientWithConfig(config)
ctx := context.Background()
req := ChatCompletionRequest{
Stream: true,
}
_, err := client.CreateChatCompletion(ctx, req)
if !errors.Is(err, ErrChatCompletionStreamNotSupported) {
t.Fatalf("CreateChatCompletion didn't return ErrChatCompletionStreamNotSupported error")
}
}
// TestCompletions Tests the completions endpoint of the API using the mocked server.
func TestChatCompletions(t *testing.T) {
server := test.NewTestServer()
server.RegisterHandler("/v1/chat/completions", handleChatCompletionEndpoint)
// create the test server
var err error
ts := server.OpenAITestServer()
ts.Start()
defer ts.Close()
config := DefaultConfig(test.GetTestToken())
config.BaseURL = ts.URL + "/v1"
client := NewClientWithConfig(config)
ctx := context.Background()
req := ChatCompletionRequest{
MaxTokens: 5,
Model: GPT3Dot5Turbo,
Messages: []ChatCompletionMessage{
{
Role: ChatMessageRoleUser,
Content: "Hello!",
},
},
}
_, err = client.CreateChatCompletion(ctx, req)
if err != nil {
t.Fatalf("CreateChatCompletion error: %v", err)
}
}
// handleChatCompletionEndpoint Handles the ChatGPT completion endpoint by the test server.
func handleChatCompletionEndpoint(w http.ResponseWriter, r *http.Request) {
var err error
var resBytes []byte
// completions only accepts POST requests
if r.Method != "POST" {
http.Error(w, "Method not allowed", http.StatusMethodNotAllowed)
}
var completionReq ChatCompletionRequest
if completionReq, err = getChatCompletionBody(r); err != nil {
http.Error(w, "could not read request", http.StatusInternalServerError)
return
}
res := ChatCompletionResponse{
ID: strconv.Itoa(int(time.Now().Unix())),
Object: "test-object",
Created: time.Now().Unix(),
// would be nice to validate Model during testing, but
// this may not be possible with how much upkeep
// would be required / wouldn't make much sense
Model: completionReq.Model,
}
// create completions
for i := 0; i < completionReq.N; i++ {
// generate a random string of length completionReq.Length
completionStr := strings.Repeat("a", completionReq.MaxTokens)
res.Choices = append(res.Choices, ChatCompletionChoice{
Message: ChatCompletionMessage{
Role: ChatMessageRoleAssistant,
Content: completionStr,
},
Index: i,
})
}
inputTokens := numTokens(completionReq.Messages[0].Content) * completionReq.N
completionTokens := completionReq.MaxTokens * completionReq.N
res.Usage = Usage{
PromptTokens: inputTokens,
CompletionTokens: completionTokens,
TotalTokens: inputTokens + completionTokens,
}
resBytes, _ = json.Marshal(res)
fmt.Fprintln(w, string(resBytes))
}
// getChatCompletionBody Returns the body of the request to create a completion.
func getChatCompletionBody(r *http.Request) (ChatCompletionRequest, error) {
completion := ChatCompletionRequest{}
// read the request body
reqBody, err := io.ReadAll(r.Body)
if err != nil {
return ChatCompletionRequest{}, err
}
err = json.Unmarshal(reqBody, &completion)
if err != nil {
return ChatCompletionRequest{}, err
}
return completion, nil
}