LocalAI/tests/e2e-aio/e2e_test.go
Ettore Di Giacinto 35290e146b
fix(grammar): respect JSONmode and grammar from user input (#1935)
* fix(grammar): Fix JSON mode and custom grammar

* tests(aio): add jsonmode test

* tests(aio): add functioncall test

* fix(aio): use hermes-2-pro-mistral as llm for CPU profile

* add phi-2-orange
2024-03-31 13:04:09 +02:00

230 lines
6.5 KiB
Go

package e2e_test
import (
"context"
"encoding/json"
"fmt"
"io"
"net/http"
"os"
. "github.com/onsi/ginkgo/v2"
. "github.com/onsi/gomega"
"github.com/sashabaranov/go-openai"
"github.com/sashabaranov/go-openai/jsonschema"
)
var _ = Describe("E2E test", func() {
Context("Generating", func() {
BeforeEach(func() {
//
})
// Check that the GPU was used
AfterEach(func() {
//
})
Context("text", func() {
It("correctly", func() {
model := "gpt-4"
resp, err := client.CreateChatCompletion(context.TODO(),
openai.ChatCompletionRequest{
Model: model, Messages: []openai.ChatCompletionMessage{
{
Role: "user",
Content: "How much is 2+2?",
},
}})
Expect(err).ToNot(HaveOccurred())
Expect(len(resp.Choices)).To(Equal(1), fmt.Sprint(resp))
Expect(resp.Choices[0].Message.Content).To(Or(ContainSubstring("4"), ContainSubstring("four")), fmt.Sprint(resp.Choices[0].Message.Content))
})
})
Context("function calls", func() {
It("correctly invoke", func() {
params := 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"},
}
f := openai.FunctionDefinition{
Name: "get_current_weather",
Description: "Get the current weather in a given location",
Parameters: params,
}
t := openai.Tool{
Type: openai.ToolTypeFunction,
Function: &f,
}
dialogue := []openai.ChatCompletionMessage{
{Role: openai.ChatMessageRoleUser, Content: "What is the weather in Boston today?"},
}
resp, err := client.CreateChatCompletion(context.TODO(),
openai.ChatCompletionRequest{
Model: openai.GPT4,
Messages: dialogue,
Tools: []openai.Tool{t},
},
)
Expect(err).ToNot(HaveOccurred())
Expect(len(resp.Choices)).To(Equal(1), fmt.Sprint(resp))
msg := resp.Choices[0].Message
Expect(len(msg.ToolCalls)).To(Equal(1), fmt.Sprint(msg.ToolCalls))
Expect(msg.ToolCalls[0].Function.Name).To(Equal("get_current_weather"), fmt.Sprint(msg.ToolCalls[0].Function.Name))
Expect(msg.ToolCalls[0].Function.Arguments).To(ContainSubstring("Boston"), fmt.Sprint(msg.ToolCalls[0].Function.Arguments))
})
})
Context("json", func() {
It("correctly", func() {
model := "gpt-4"
req := openai.ChatCompletionRequest{
ResponseFormat: &openai.ChatCompletionResponseFormat{Type: openai.ChatCompletionResponseFormatTypeJSONObject},
Model: model,
Messages: []openai.ChatCompletionMessage{
{
Role: "user",
Content: "An animal with 'name', 'gender' and 'legs' fields",
},
},
}
resp, err := client.CreateChatCompletion(context.TODO(), req)
Expect(err).ToNot(HaveOccurred())
Expect(len(resp.Choices)).To(Equal(1), fmt.Sprint(resp))
var i map[string]interface{}
err = json.Unmarshal([]byte(resp.Choices[0].Message.Content), &i)
Expect(err).ToNot(HaveOccurred())
Expect(i).To(HaveKey("name"))
Expect(i).To(HaveKey("gender"))
Expect(i).To(HaveKey("legs"))
})
})
Context("images", func() {
It("correctly", func() {
resp, err := client.CreateImage(context.TODO(),
openai.ImageRequest{
Prompt: "test",
Size: openai.CreateImageSize512x512,
//ResponseFormat: openai.CreateImageResponseFormatURL,
},
)
Expect(err).ToNot(HaveOccurred())
Expect(len(resp.Data)).To(Equal(1), fmt.Sprint(resp))
Expect(resp.Data[0].URL).To(ContainSubstring("png"), fmt.Sprint(resp.Data[0].URL))
})
})
Context("embeddings", func() {
It("correctly", func() {
resp, err := client.CreateEmbeddings(context.TODO(),
openai.EmbeddingRequestStrings{
Input: []string{"doc"},
Model: openai.AdaEmbeddingV2,
},
)
Expect(err).ToNot(HaveOccurred())
Expect(len(resp.Data)).To(Equal(1), fmt.Sprint(resp))
Expect(resp.Data[0].Embedding).ToNot(BeEmpty())
})
})
Context("vision", func() {
It("correctly", func() {
model := "gpt-4-vision-preview"
resp, err := client.CreateChatCompletion(context.TODO(),
openai.ChatCompletionRequest{
Model: model, Messages: []openai.ChatCompletionMessage{
{
Role: "user",
MultiContent: []openai.ChatMessagePart{
{
Type: openai.ChatMessagePartTypeText,
Text: "What is in the image?",
},
{
Type: openai.ChatMessagePartTypeImageURL,
ImageURL: &openai.ChatMessageImageURL{
URL: "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg",
Detail: openai.ImageURLDetailLow,
},
},
},
},
}})
Expect(err).ToNot(HaveOccurred())
Expect(len(resp.Choices)).To(Equal(1), fmt.Sprint(resp))
Expect(resp.Choices[0].Message.Content).To(Or(ContainSubstring("wooden"), ContainSubstring("grass")), fmt.Sprint(resp.Choices[0].Message.Content))
})
})
Context("text to audio", func() {
It("correctly", func() {
res, err := client.CreateSpeech(context.Background(), openai.CreateSpeechRequest{
Model: openai.TTSModel1,
Input: "Hello!",
Voice: openai.VoiceAlloy,
})
Expect(err).ToNot(HaveOccurred())
defer res.Close()
_, err = io.ReadAll(res)
Expect(err).ToNot(HaveOccurred())
})
})
Context("audio to text", func() {
It("correctly", func() {
downloadURL := "https://cdn.openai.com/whisper/draft-20220913a/micro-machines.wav"
file, err := downloadHttpFile(downloadURL)
Expect(err).ToNot(HaveOccurred())
req := openai.AudioRequest{
Model: openai.Whisper1,
FilePath: file,
}
resp, err := client.CreateTranscription(context.Background(), req)
Expect(err).ToNot(HaveOccurred())
Expect(resp.Text).To(ContainSubstring("This is the"), fmt.Sprint(resp.Text))
})
})
})
})
func downloadHttpFile(url string) (string, error) {
resp, err := http.Get(url)
if err != nil {
return "", err
}
defer resp.Body.Close()
tmpfile, err := os.CreateTemp("", "example")
if err != nil {
return "", err
}
defer tmpfile.Close()
_, err = io.Copy(tmpfile, resp.Body)
if err != nil {
return "", err
}
return tmpfile.Name(), nil
}