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feat: move other backends to grpc

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This finally makes everything more consistent

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
This commit is contained in:
Ettore Di Giacinto 2023-07-15 01:19:43 +02:00
parent 5dcfdbe51d
commit 1d0ed95a54
54 changed files with 3171 additions and 1712 deletions
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233
api/api_test.go
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@ -5,7 +5,9 @@ import (
"context"
"embed"
"encoding/json"
"errors"
"fmt"
"io"
"io/ioutil"
"net/http"
"os"
@ -24,6 +26,7 @@ import (
openaigo "github.com/otiai10/openaigo"
"github.com/sashabaranov/go-openai"
"github.com/sashabaranov/go-openai/jsonschema"
)
type modelApplyRequest struct {
@ -203,7 +206,7 @@ var _ = Describe("API test", func() {
fmt.Println(response)
resp = response
return response["processed"].(bool)
}, "360s").Should(Equal(true))
}, "360s", "10s").Should(Equal(true))
Expect(resp["message"]).ToNot(ContainSubstring("error"))
dat, err := os.ReadFile(filepath.Join(tmpdir, "bert2.yaml"))
@ -245,9 +248,8 @@ var _ = Describe("API test", func() {
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))
}, "360s", "10s").Should(Equal(true))
dat, err := os.ReadFile(filepath.Join(tmpdir, "bert.yaml"))
Expect(err).ToNot(HaveOccurred())
@ -270,9 +272,8 @@ var _ = Describe("API test", func() {
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))
}, "360s", "10s").Should(Equal(true))
dat, err := os.ReadFile(filepath.Join(tmpdir, "bert.yaml"))
Expect(err).ToNot(HaveOccurred())
@ -299,14 +300,58 @@ var _ = Describe("API test", func() {
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))
}, "360s", "10s").Should(Equal(true))
By("testing completion")
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"))
By("testing functions")
resp2, err := client.CreateChatCompletion(
context.TODO(),
openai.ChatCompletionRequest{
Model: "openllama_3b",
Messages: []openai.ChatCompletionMessage{
{
Role: "user",
Content: "What is the weather like in San Francisco (celsius)?",
},
},
Functions: []openai.FunctionDefinition{
openai.FunctionDefinition{
Name: "get_current_weather",
Description: "Get the 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{"celcius", "fahrenheit"},
},
},
Required: []string{"location"},
},
},
},
})
Expect(err).ToNot(HaveOccurred())
Expect(len(resp2.Choices)).To(Equal(1))
Expect(resp2.Choices[0].Message.FunctionCall).ToNot(BeNil())
Expect(resp2.Choices[0].Message.FunctionCall.Name).To(Equal("get_current_weather"), resp2.Choices[0].Message.FunctionCall.Name)
var res map[string]string
err = json.Unmarshal([]byte(resp2.Choices[0].Message.FunctionCall.Arguments), &res)
Expect(err).ToNot(HaveOccurred())
Expect(res["location"]).To(Equal("San Francisco"), fmt.Sprint(res))
Expect(res["unit"]).To(Equal("celcius"), fmt.Sprint(res))
Expect(string(resp2.Choices[0].FinishReason)).To(Equal("function_call"), fmt.Sprint(resp2.Choices[0].FinishReason))
})
It("runs gpt4all", Label("gpt4all"), func() {
@ -326,15 +371,126 @@ var _ = Describe("API test", func() {
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))
}, "360s", "10s").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("Model gallery", func() {
BeforeEach(func() {
var err error
tmpdir, err = os.MkdirTemp("", "")
Expect(err).ToNot(HaveOccurred())
modelLoader = model.NewModelLoader(tmpdir)
c, cancel = context.WithCancel(context.Background())
galleries := []gallery.Gallery{
{
Name: "model-gallery",
URL: "https://raw.githubusercontent.com/go-skynet/model-gallery/main/index.yaml",
},
}
app, err = App(
options.WithContext(c),
options.WithAudioDir(tmpdir),
options.WithImageDir(tmpdir),
options.WithGalleries(galleries),
options.WithModelLoader(modelLoader),
options.WithBackendAssets(backendAssets),
options.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)
})
It("installs and is capable to run tts", Label("tts"), func() {
if runtime.GOOS != "linux" {
Skip("test supported only on linux")
}
response := postModelApplyRequest("http://127.0.0.1:9090/models/apply", modelApplyRequest{
ID: "model-gallery@voice-en-us-kathleen-low",
})
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", "10s").Should(Equal(true))
// An HTTP Post to the /tts endpoint should return a wav audio file
resp, err := http.Post("http://127.0.0.1:9090/tts", "application/json", bytes.NewBuffer([]byte(`{"input": "Hello world", "model": "en-us-kathleen-low.onnx"}`)))
Expect(err).ToNot(HaveOccurred(), fmt.Sprint(resp))
dat, err := io.ReadAll(resp.Body)
Expect(err).ToNot(HaveOccurred(), fmt.Sprint(resp))
Expect(resp.StatusCode).To(Equal(200), fmt.Sprint(string(dat)))
Expect(resp.Header.Get("Content-Type")).To(Equal("audio/x-wav"))
})
It("installs and is capable to generate images", Label("stablediffusion"), func() {
if runtime.GOOS != "linux" {
Skip("test supported only on linux")
}
response := postModelApplyRequest("http://127.0.0.1:9090/models/apply", modelApplyRequest{
ID: "model-gallery@stablediffusion",
})
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", "10s").Should(Equal(true))
resp, err := http.Post(
"http://127.0.0.1:9090/v1/images/generations",
"application/json",
bytes.NewBuffer([]byte(`{
"prompt": "floating hair, portrait, ((loli)), ((one girl)), cute face, hidden hands, asymmetrical bangs, beautiful detailed eyes, eye shadow, hair ornament, ribbons, bowties, buttons, pleated skirt, (((masterpiece))), ((best quality)), colorful|((part of the head)), ((((mutated hands and fingers)))), deformed, blurry, bad anatomy, disfigured, poorly drawn face, mutation, mutated, extra limb, ugly, poorly drawn hands, missing limb, blurry, floating limbs, disconnected limbs, malformed hands, blur, out of focus, long neck, long body, Octane renderer, lowres, bad anatomy, bad hands, text",
"mode": 2, "seed":9000,
"size": "256x256", "n":2}`)))
// The response should contain an URL
Expect(err).ToNot(HaveOccurred(), fmt.Sprint(resp))
dat, err := io.ReadAll(resp.Body)
Expect(err).ToNot(HaveOccurred(), string(dat))
Expect(string(dat)).To(ContainSubstring("http://127.0.0.1:9090/"), string(dat))
Expect(string(dat)).To(ContainSubstring(".png"), string(dat))
})
})
@ -401,7 +557,7 @@ var _ = Describe("API test", func() {
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:"))
Expect(err.Error()).To(ContainSubstring("error, status code: 500, message: could not load model - all backends returned error: 12 errors occurred:"))
})
It("transcribes audio", func() {
if runtime.GOOS != "linux" {
@ -446,14 +602,67 @@ var _ = Describe("API test", func() {
})
Context("backends", func() {
It("runs rwkv", func() {
It("runs rwkv completion", 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."))
Expect(resp.Choices[0].Text).To(ContainSubstring("five"))
stream, err := client.CreateCompletionStream(context.TODO(), openai.CompletionRequest{
Model: "rwkv_test", Prompt: "Count up to five: one, two, three, four,", Stream: true,
})
Expect(err).ToNot(HaveOccurred())
defer stream.Close()
tokens := 0
text := ""
for {
response, err := stream.Recv()
if errors.Is(err, io.EOF) {
break
}
Expect(err).ToNot(HaveOccurred())
text += response.Choices[0].Text
tokens++
}
Expect(text).ToNot(BeEmpty())
Expect(text).To(ContainSubstring("five"))
Expect(tokens).ToNot(Or(Equal(1), Equal(0)))
})
It("runs rwkv chat completion", func() {
if runtime.GOOS != "linux" {
Skip("test supported only on linux")
}
resp, err := client.CreateChatCompletion(context.TODO(),
openai.ChatCompletionRequest{Model: "rwkv_test", Messages: []openai.ChatCompletionMessage{{Content: "Can you count up to five?", Role: "user"}}})
Expect(err).ToNot(HaveOccurred())
Expect(len(resp.Choices) > 0).To(BeTrue())
Expect(resp.Choices[0].Message.Content).To(Or(ContainSubstring("Sure"), ContainSubstring("five")))
stream, err := client.CreateChatCompletionStream(context.TODO(), openai.ChatCompletionRequest{Model: "rwkv_test", Messages: []openai.ChatCompletionMessage{{Content: "Can you count up to five?", Role: "user"}}})
Expect(err).ToNot(HaveOccurred())
defer stream.Close()
tokens := 0
text := ""
for {
response, err := stream.Recv()
if errors.Is(err, io.EOF) {
break
}
Expect(err).ToNot(HaveOccurred())
text += response.Choices[0].Delta.Content
tokens++
}
Expect(text).ToNot(BeEmpty())
Expect(text).To(Or(ContainSubstring("Sure"), ContainSubstring("five")))
Expect(tokens).ToNot(Or(Equal(1), Equal(0)))
})
})
})