🤖 Self-hosted, community-driven, local OpenAI-compatible API with Keycloak Auth Flak app as frontend. 🏠
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FlaskAI/api/api_test.go

515 lines
17 KiB

package api_test
import (
"bytes"
"context"
"embed"
"encoding/json"
"fmt"
"io/ioutil"
"net/http"
"os"
"path/filepath"
"runtime"
. "github.com/go-skynet/LocalAI/api"
"github.com/go-skynet/LocalAI/pkg/gallery"
"github.com/go-skynet/LocalAI/pkg/model"
"github.com/go-skynet/LocalAI/pkg/utils"
"github.com/gofiber/fiber/v2"
. "github.com/onsi/ginkgo/v2"
. "github.com/onsi/gomega"
"gopkg.in/yaml.v3"
openaigo "github.com/otiai10/openaigo"
"github.com/sashabaranov/go-openai"
)
type modelApplyRequest struct {
ID string `json:"id"`
URL string `json:"url"`
Name string `json:"name"`
Overrides map[string]string `json:"overrides"`
}
func getModelStatus(url string) (response map[string]interface{}) {
// Create the HTTP request
resp, err := http.Get(url)
if err != nil {
fmt.Println("Error creating request:", err)
return
}
defer resp.Body.Close()
body, err := ioutil.ReadAll(resp.Body)
if err != nil {
fmt.Println("Error reading response body:", err)
return
}
// Unmarshal the response into a map[string]interface{}
err = json.Unmarshal(body, &response)
if err != nil {
fmt.Println("Error unmarshaling JSON response:", err)
return
}
return
}
func getModels(url string) (response []gallery.GalleryModel) {
utils.GetURI(url, func(url string, i []byte) error {
// Unmarshal YAML data into a struct
return json.Unmarshal(i, &response)
})
return
}
func postModelApplyRequest(url string, request modelApplyRequest) (response map[string]interface{}) {
//url := "http://localhost:AI/models/apply"
// Create the request payload
payload, err := json.Marshal(request)
if err != nil {
fmt.Println("Error marshaling JSON:", err)
return
}
// Create the HTTP request
req, err := http.NewRequest("POST", url, bytes.NewBuffer(payload))
if err != nil {
fmt.Println("Error creating request:", err)
return
}
req.Header.Set("Content-Type", "application/json")
// Make the request
client := &http.Client{}
resp, err := client.Do(req)
if err != nil {
fmt.Println("Error making request:", err)
return
}
defer resp.Body.Close()
body, err := ioutil.ReadAll(resp.Body)
if err != nil {
fmt.Println("Error reading response body:", err)
return
}
// Unmarshal the response into a map[string]interface{}
err = json.Unmarshal(body, &response)
if err != nil {
fmt.Println("Error unmarshaling JSON response:", err)
return
}
return
}
//go:embed backend-assets/*
var backendAssets embed.FS
var _ = Describe("API test", func() {
var app *fiber.App
var modelLoader *model.ModelLoader
var client *openai.Client
var client2 *openaigo.Client
var c context.Context
var cancel context.CancelFunc
var tmpdir string
Context("API with ephemeral models", func() {
BeforeEach(func() {
var err error
tmpdir, err = os.MkdirTemp("", "")
Expect(err).ToNot(HaveOccurred())
modelLoader = model.NewModelLoader(tmpdir)
c, cancel = context.WithCancel(context.Background())
g := []gallery.GalleryModel{
{
Name: "bert",
URL: "https://raw.githubusercontent.com/go-skynet/model-gallery/main/bert-embeddings.yaml",
},
{
Name: "bert2",
URL: "https://raw.githubusercontent.com/go-skynet/model-gallery/main/bert-embeddings.yaml",
Overrides: map[string]interface{}{"foo": "bar"},
AdditionalFiles: []gallery.File{gallery.File{Filename: "foo.yaml", URI: "https://raw.githubusercontent.com/go-skynet/model-gallery/main/bert-embeddings.yaml"}},
},
}
out, err := yaml.Marshal(g)
Expect(err).ToNot(HaveOccurred())
err = ioutil.WriteFile(filepath.Join(tmpdir, "gallery_simple.yaml"), out, 0644)
Expect(err).ToNot(HaveOccurred())
galleries := []gallery.Gallery{
{
Name: "test",
URL: "file://" + filepath.Join(tmpdir, "gallery_simple.yaml"),
},
}
app, err = App(WithContext(c),
WithGalleries(galleries),
WithModelLoader(modelLoader), WithBackendAssets(backendAssets), WithBackendAssetsOutput(tmpdir))
Expect(err).ToNot(HaveOccurred())
go app.Listen("127.0.0.1:9090")
defaultConfig := openai.DefaultConfig("")
defaultConfig.BaseURL = "http://127.0.0.1:9090/v1"
client2 = openaigo.NewClient("")
client2.BaseURL = defaultConfig.BaseURL
// Wait for API to be ready
client = openai.NewClientWithConfig(defaultConfig)
Eventually(func() error {
_, err := client.ListModels(context.TODO())
return err
}, "2m").ShouldNot(HaveOccurred())
})
AfterEach(func() {
cancel()
app.Shutdown()
os.RemoveAll(tmpdir)
})
Context("Applying models", func() {
It("applies models from a gallery", func() {
models := getModels("http://127.0.0.1:9090/models/list")
Expect(len(models)).To(Equal(2), fmt.Sprint(models))
Expect(models[0].Installed).To(BeFalse(), fmt.Sprint(models))
Expect(models[1].Installed).To(BeFalse(), fmt.Sprint(models))
response := postModelApplyRequest("http://127.0.0.1:9090/models/apply", modelApplyRequest{
ID: "test@bert2",
})
Expect(response["uuid"]).ToNot(BeEmpty(), fmt.Sprint(response))
uuid := response["uuid"].(string)
resp := map[string]interface{}{}
Eventually(func() bool {
response := getModelStatus("http://127.0.0.1:9090/models/jobs/" + uuid)
fmt.Println(response)
resp = response
return response["processed"].(bool)
}, "360s").Should(Equal(true))
Expect(resp["message"]).ToNot(ContainSubstring("error"))
dat, err := os.ReadFile(filepath.Join(tmpdir, "bert2.yaml"))
Expect(err).ToNot(HaveOccurred())
_, err = os.ReadFile(filepath.Join(tmpdir, "foo.yaml"))
Expect(err).ToNot(HaveOccurred())
content := map[string]interface{}{}
err = yaml.Unmarshal(dat, &content)
Expect(err).ToNot(HaveOccurred())
Expect(content["backend"]).To(Equal("bert-embeddings"))
Expect(content["foo"]).To(Equal("bar"))
models = getModels("http://127.0.0.1:9090/models/list")
Expect(len(models)).To(Equal(2), fmt.Sprint(models))
Expect(models[0].Name).To(Or(Equal("bert"), Equal("bert2")))
Expect(models[1].Name).To(Or(Equal("bert"), Equal("bert2")))
for _, m := range models {
if m.Name == "bert2" {
Expect(m.Installed).To(BeTrue())
} else {
Expect(m.Installed).To(BeFalse())
}
}
})
It("overrides models", func() {
response := postModelApplyRequest("http://127.0.0.1:9090/models/apply", modelApplyRequest{
URL: "https://raw.githubusercontent.com/go-skynet/model-gallery/main/bert-embeddings.yaml",
Name: "bert",
Overrides: map[string]string{
"backend": "llama",
},
})
Expect(response["uuid"]).ToNot(BeEmpty(), fmt.Sprint(response))
uuid := response["uuid"].(string)
Eventually(func() bool {
response := getModelStatus("http://127.0.0.1:9090/models/jobs/" + uuid)
fmt.Println(response)
return response["processed"].(bool)
}, "360s").Should(Equal(true))
dat, err := os.ReadFile(filepath.Join(tmpdir, "bert.yaml"))
Expect(err).ToNot(HaveOccurred())
content := map[string]interface{}{}
err = yaml.Unmarshal(dat, &content)
Expect(err).ToNot(HaveOccurred())
Expect(content["backend"]).To(Equal("llama"))
})
It("apply models without overrides", func() {
response := postModelApplyRequest("http://127.0.0.1:9090/models/apply", modelApplyRequest{
URL: "https://raw.githubusercontent.com/go-skynet/model-gallery/main/bert-embeddings.yaml",
Name: "bert",
Overrides: map[string]string{},
})
Expect(response["uuid"]).ToNot(BeEmpty(), fmt.Sprint(response))
uuid := response["uuid"].(string)
Eventually(func() bool {
response := getModelStatus("http://127.0.0.1:9090/models/jobs/" + uuid)
fmt.Println(response)
return response["processed"].(bool)
}, "360s").Should(Equal(true))
dat, err := os.ReadFile(filepath.Join(tmpdir, "bert.yaml"))
Expect(err).ToNot(HaveOccurred())
content := map[string]interface{}{}
err = yaml.Unmarshal(dat, &content)
Expect(err).ToNot(HaveOccurred())
Expect(content["backend"]).To(Equal("bert-embeddings"))
})
It("runs openllama", Label("llama"), func() {
if runtime.GOOS != "linux" {
Skip("test supported only on linux")
}
response := postModelApplyRequest("http://127.0.0.1:9090/models/apply", modelApplyRequest{
URL: "github:go-skynet/model-gallery/openllama_3b.yaml",
Name: "openllama_3b",
Overrides: map[string]string{},
})
Expect(response["uuid"]).ToNot(BeEmpty(), fmt.Sprint(response))
uuid := response["uuid"].(string)
Eventually(func() bool {
response := getModelStatus("http://127.0.0.1:9090/models/jobs/" + uuid)
fmt.Println(response)
return response["processed"].(bool)
}, "360s").Should(Equal(true))
resp, err := client.CreateCompletion(context.TODO(), openai.CompletionRequest{Model: "openllama_3b", Prompt: "Count up to five: one, two, three, four, "})
Expect(err).ToNot(HaveOccurred())
Expect(len(resp.Choices)).To(Equal(1))
Expect(resp.Choices[0].Text).To(ContainSubstring("five"))
})
It("runs gpt4all", Label("gpt4all"), func() {
if runtime.GOOS != "linux" {
Skip("test supported only on linux")
}
response := postModelApplyRequest("http://127.0.0.1:9090/models/apply", modelApplyRequest{
URL: "github:go-skynet/model-gallery/gpt4all-j.yaml",
Name: "gpt4all-j",
Overrides: map[string]string{},
})
Expect(response["uuid"]).ToNot(BeEmpty(), fmt.Sprint(response))
uuid := response["uuid"].(string)
Eventually(func() bool {
response := getModelStatus("http://127.0.0.1:9090/models/jobs/" + uuid)
fmt.Println(response)
return response["processed"].(bool)
}, "360s").Should(Equal(true))
resp, err := client.CreateChatCompletion(context.TODO(), openai.ChatCompletionRequest{Model: "gpt4all-j", Messages: []openai.ChatCompletionMessage{openai.ChatCompletionMessage{Role: "user", Content: "How are you?"}}})
Expect(err).ToNot(HaveOccurred())
Expect(len(resp.Choices)).To(Equal(1))
Expect(resp.Choices[0].Message.Content).To(ContainSubstring("well"))
})
})
})
Context("API query", func() {
BeforeEach(func() {
modelLoader = model.NewModelLoader(os.Getenv("MODELS_PATH"))
c, cancel = context.WithCancel(context.Background())
var err error
app, err = App(WithContext(c), WithModelLoader(modelLoader))
Expect(err).ToNot(HaveOccurred())
go app.Listen("127.0.0.1:9090")
defaultConfig := openai.DefaultConfig("")
defaultConfig.BaseURL = "http://127.0.0.1:9090/v1"
client2 = openaigo.NewClient("")
client2.BaseURL = defaultConfig.BaseURL
// Wait for API to be ready
client = openai.NewClientWithConfig(defaultConfig)
Eventually(func() error {
_, err := client.ListModels(context.TODO())
return err
}, "2m").ShouldNot(HaveOccurred())
})
AfterEach(func() {
cancel()
app.Shutdown()
})
It("returns the models list", func() {
models, err := client.ListModels(context.TODO())
Expect(err).ToNot(HaveOccurred())
Expect(len(models.Models)).To(Equal(10))
})
It("can generate completions", func() {
resp, err := client.CreateCompletion(context.TODO(), openai.CompletionRequest{Model: "testmodel", Prompt: "abcdedfghikl"})
Expect(err).ToNot(HaveOccurred())
Expect(len(resp.Choices)).To(Equal(1))
Expect(resp.Choices[0].Text).ToNot(BeEmpty())
})
It("can generate chat completions ", func() {
resp, err := client.CreateChatCompletion(context.TODO(), openai.ChatCompletionRequest{Model: "testmodel", Messages: []openai.ChatCompletionMessage{openai.ChatCompletionMessage{Role: "user", Content: "abcdedfghikl"}}})
Expect(err).ToNot(HaveOccurred())
Expect(len(resp.Choices)).To(Equal(1))
Expect(resp.Choices[0].Message.Content).ToNot(BeEmpty())
})
It("can generate completions from model configs", func() {
resp, err := client.CreateCompletion(context.TODO(), openai.CompletionRequest{Model: "gpt4all", Prompt: "abcdedfghikl"})
Expect(err).ToNot(HaveOccurred())
Expect(len(resp.Choices)).To(Equal(1))
Expect(resp.Choices[0].Text).ToNot(BeEmpty())
})
It("can generate chat completions from model configs", func() {
resp, err := client.CreateChatCompletion(context.TODO(), openai.ChatCompletionRequest{Model: "gpt4all-2", Messages: []openai.ChatCompletionMessage{openai.ChatCompletionMessage{Role: "user", Content: "abcdedfghikl"}}})
Expect(err).ToNot(HaveOccurred())
Expect(len(resp.Choices)).To(Equal(1))
Expect(resp.Choices[0].Message.Content).ToNot(BeEmpty())
})
It("returns errors", func() {
_, err := client.CreateCompletion(context.TODO(), openai.CompletionRequest{Model: "foomodel", Prompt: "abcdedfghikl"})
Expect(err).To(HaveOccurred())
Expect(err.Error()).To(ContainSubstring("error, status code: 500, message: could not load model - all backends returned error: 11 errors occurred:"))
})
It("transcribes audio", func() {
if runtime.GOOS != "linux" {
Skip("test supported only on linux")
}
resp, err := client.CreateTranscription(
context.Background(),
openai.AudioRequest{
Model: openai.Whisper1,
FilePath: filepath.Join(os.Getenv("TEST_DIR"), "audio.wav"),
},
)
Expect(err).ToNot(HaveOccurred())
Expect(resp.Text).To(ContainSubstring("This is the Micro Machine Man presenting"))
})
It("calculate embeddings", func() {
if runtime.GOOS != "linux" {
Skip("test supported only on linux")
}
resp, err := client.CreateEmbeddings(
context.Background(),
openai.EmbeddingRequest{
Model: openai.AdaEmbeddingV2,
Input: []string{"sun", "cat"},
},
)
Expect(err).ToNot(HaveOccurred())
Expect(len(resp.Data[0].Embedding)).To(BeNumerically("==", 384))
Expect(len(resp.Data[1].Embedding)).To(BeNumerically("==", 384))
sunEmbedding := resp.Data[0].Embedding
resp2, err := client.CreateEmbeddings(
context.Background(),
openai.EmbeddingRequest{
Model: openai.AdaEmbeddingV2,
Input: []string{"sun"},
},
)
Expect(err).ToNot(HaveOccurred())
Expect(resp2.Data[0].Embedding).To(Equal(sunEmbedding))
})
Context("backends", func() {
It("runs rwkv", func() {
if runtime.GOOS != "linux" {
Skip("test supported only on linux")
}
resp, err := client.CreateCompletion(context.TODO(), openai.CompletionRequest{Model: "rwkv_test", Prompt: "Count up to five: one, two, three, four,"})
Expect(err).ToNot(HaveOccurred())
Expect(len(resp.Choices) > 0).To(BeTrue())
Expect(resp.Choices[0].Text).To(Equal(" five."))
})
})
})
Context("Config file", func() {
BeforeEach(func() {
modelLoader = model.NewModelLoader(os.Getenv("MODELS_PATH"))
c, cancel = context.WithCancel(context.Background())
var err error
app, err = App(WithContext(c), WithModelLoader(modelLoader), WithConfigFile(os.Getenv("CONFIG_FILE")))
Expect(err).ToNot(HaveOccurred())
go app.Listen("127.0.0.1:9090")
defaultConfig := openai.DefaultConfig("")
defaultConfig.BaseURL = "http://127.0.0.1:9090/v1"
client2 = openaigo.NewClient("")
client2.BaseURL = defaultConfig.BaseURL
// Wait for API to be ready
client = openai.NewClientWithConfig(defaultConfig)
Eventually(func() error {
_, err := client.ListModels(context.TODO())
return err
}, "2m").ShouldNot(HaveOccurred())
})
AfterEach(func() {
cancel()
app.Shutdown()
})
It("can generate chat completions from config file", func() {
models, err := client.ListModels(context.TODO())
Expect(err).ToNot(HaveOccurred())
Expect(len(models.Models)).To(Equal(12))
})
It("can generate chat completions from config file", func() {
resp, err := client.CreateChatCompletion(context.TODO(), openai.ChatCompletionRequest{Model: "list1", Messages: []openai.ChatCompletionMessage{openai.ChatCompletionMessage{Role: "user", Content: "abcdedfghikl"}}})
Expect(err).ToNot(HaveOccurred())
Expect(len(resp.Choices)).To(Equal(1))
Expect(resp.Choices[0].Message.Content).ToNot(BeEmpty())
})
It("can generate chat completions from config file", func() {
resp, err := client.CreateChatCompletion(context.TODO(), openai.ChatCompletionRequest{Model: "list2", Messages: []openai.ChatCompletionMessage{openai.ChatCompletionMessage{Role: "user", Content: "abcdedfghikl"}}})
Expect(err).ToNot(HaveOccurred())
Expect(len(resp.Choices)).To(Equal(1))
Expect(resp.Choices[0].Message.Content).ToNot(BeEmpty())
})
It("can generate edit completions from config file", func() {
request := openaigo.EditCreateRequestBody{
Model: "list2",
Instruction: "foo",
Input: "bar",
}
resp, err := client2.CreateEdit(context.Background(), request)
Expect(err).ToNot(HaveOccurred())
Expect(len(resp.Choices)).To(Equal(1))
Expect(resp.Choices[0].Text).ToNot(BeEmpty())
})
})
})