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api_test.go
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package gogpt_test
import (
"bytes"
"context"
"fmt"
"io/ioutil"
"log"
"net/http"
"net/http/httptest"
"os"
"strconv"
"strings"
"testing"
"time"
"github.com/goccy/go-json"
. "github.com/parallax4/go-gpt3"
)
const (
testAPIToken = "this-is-my-secure-token-do-not-steal!!"
)
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)
if err != nil {
t.Fatalf("ListEngines error: %v", err)
}
_, err = c.GetEngine(ctx, "davinci")
if err != nil {
t.Fatalf("GetEngine error: %v", err)
}
fileRes, err := c.ListFiles(ctx)
if err != nil {
t.Fatalf("ListFiles error: %v", err)
}
if len(fileRes.Files) > 0 {
_, err = c.GetFile(ctx, fileRes.Files[0].ID)
if err != nil {
t.Fatalf("GetFile error: %v", err)
}
} // else skip
searchReq := SearchRequest{
Documents: []string{"White House", "hospital", "school"},
Query: "the president",
}
_, err = c.Search(ctx, "ada", searchReq)
if err != nil {
t.Fatalf("Search error: %v", err)
}
embeddingReq := EmbeddingRequest{
Input: []string{
"The food was delicious and the waiter",
"Other examples of embedding request",
},
Model: AdaSearchQuery,
}
_, err = c.CreateEmbeddings(ctx, embeddingReq)
if err != nil {
t.Fatalf("Embedding error: %v", err)
}
}
// TestCompletions Tests the completions endpoint of the API using the mocked server.
func TestCompletions(t *testing.T) {
// create the test server
var err error
ts := OpenAITestServer()
ts.Start()
defer ts.Close()
client := NewClient(testAPIToken)
ctx := context.Background()
client.BaseURL = ts.URL + "/v1"
req := CompletionRequest{
MaxTokens: 5,
Model: "ada",
}
req.Prompt = "Lorem ipsum"
_, err = client.CreateCompletion(ctx, req)
if err != nil {
t.Fatalf("CreateCompletion error: %v", err)
}
}
// TestEdits Tests the edits endpoint of the API using the mocked server.
func TestEdits(t *testing.T) {
// create the test server
var err error
ts := OpenAITestServer()
ts.Start()
defer ts.Close()
client := NewClient(testAPIToken)
ctx := context.Background()
client.BaseURL = ts.URL + "/v1"
// create an edit request
model := "ada"
editReq := EditsRequest{
Model: &model,
Input: "Lorem ipsum dolor sit amet, consectetur adipiscing elit, " +
"sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim" +
" ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip" +
" ex ea commodo consequat. Duis aute irure dolor in reprehe",
Instruction: "test instruction",
N: 3,
}
response, err := client.Edits(ctx, editReq)
if err != nil {
t.Fatalf("Edits error: %v", err)
}
if len(response.Choices) != editReq.N {
t.Fatalf("edits does not properly return the correct number of choices")
}
}
func TestEmbedding(t *testing.T) {
embeddedModels := []EmbeddingModel{
AdaSimilarity,
BabbageSimilarity,
CurieSimilarity,
DavinciSimilarity,
AdaSearchDocument,
AdaSearchQuery,
BabbageSearchDocument,
BabbageSearchQuery,
CurieSearchDocument,
CurieSearchQuery,
DavinciSearchDocument,
DavinciSearchQuery,
AdaCodeSearchCode,
AdaCodeSearchText,
BabbageCodeSearchCode,
BabbageCodeSearchText,
}
for _, model := range embeddedModels {
embeddingReq := EmbeddingRequest{
Input: []string{
"The food was delicious and the waiter",
"Other examples of embedding request",
},
Model: model,
}
// marshal embeddingReq to JSON and confirm that the model field equals
// the AdaSearchQuery type
marshaled, err := json.Marshal(embeddingReq)
if err != nil {
t.Fatalf("Could not marshal embedding request: %v", err)
}
if !bytes.Contains(marshaled, []byte(`"model":"`+model.String()+`"`)) {
t.Fatalf("Expected embedding request to contain model field")
}
}
}
// getEditBody Returns the body of the request to create an edit.
func getEditBody(r *http.Request) (EditsRequest, error) {
edit := EditsRequest{}
// read the request body
reqBody, err := ioutil.ReadAll(r.Body)
if err != nil {
return EditsRequest{}, err
}
err = json.Unmarshal(reqBody, &edit)
if err != nil {
return EditsRequest{}, err
}
return edit, nil
}
// handleEditEndpoint Handles the edit endpoint by the test server.
func handleEditEndpoint(w http.ResponseWriter, r *http.Request) {
var err error
var resBytes []byte
// edits only accepts POST requests
if r.Method != "POST" {
http.Error(w, "Method not allowed", http.StatusMethodNotAllowed)
}
var editReq EditsRequest
editReq, err = getEditBody(r)
if err != nil {
http.Error(w, "could not read request", http.StatusInternalServerError)
return
}
// create a response
res := EditsResponse{
Object: "test-object",
Created: uint64(time.Now().Unix()),
}
// edit and calculate token usage
editString := "edited by mocked OpenAI server :)"
inputTokens := numTokens(editReq.Input+editReq.Instruction) * editReq.N
completionTokens := int(float32(len(editString))/4) * editReq.N
for i := 0; i < editReq.N; i++ {
// instruction will be hidden and only seen by OpenAI
res.Choices = append(res.Choices, EditsChoice{
Text: editReq.Input + editString,
Index: i,
})
}
res.Usage = Usage{
PromptTokens: inputTokens,
CompletionTokens: completionTokens,
TotalTokens: inputTokens + completionTokens,
}
resBytes, _ = json.Marshal(res)
fmt.Fprint(w, string(resBytes))
}
// handleCompletionEndpoint Handles the completion endpoint by the test server.
func handleCompletionEndpoint(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 CompletionRequest
if completionReq, err = getCompletionBody(r); err != nil {
http.Error(w, "could not read request", http.StatusInternalServerError)
return
}
res := CompletionResponse{
ID: strconv.Itoa(int(time.Now().Unix())),
Object: "test-object",
Created: uint64(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)
if completionReq.Echo {
completionStr = completionReq.Prompt + completionStr
}
res.Choices = append(res.Choices, CompletionChoice{
Text: completionStr,
Index: i,
})
}
inputTokens := numTokens(completionReq.Prompt) * 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))
}
// getCompletionBody Returns the body of the request to create a completion.
func getCompletionBody(r *http.Request) (CompletionRequest, error) {
completion := CompletionRequest{}
// read the request body
reqBody, err := ioutil.ReadAll(r.Body)
if err != nil {
return CompletionRequest{}, err
}
err = json.Unmarshal(reqBody, &completion)
if err != nil {
return CompletionRequest{}, err
}
return completion, nil
}
// numTokens Returns the number of GPT-3 encoded tokens in the given text.
// This function approximates based on the rule of thumb stated by OpenAI:
// https://beta.openai.com/tokenizer
//
// TODO: implement an actual tokenizer for GPT-3 and Codex (once available)
func numTokens(s string) int {
return int(float32(len(s)) / 4)
}
// OpenAITestServer Creates a mocked OpenAI server which can pretend to handle requests during testing.
func OpenAITestServer() *httptest.Server {
return httptest.NewUnstartedServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
log.Printf("received request at path %q\n", r.URL.Path)
// check auth
if r.Header.Get("Authorization") != "Bearer "+testAPIToken {
w.WriteHeader(http.StatusUnauthorized)
return
}
// OPTIMIZE: create separate handler functions for these
switch r.URL.Path {
case "/v1/edits":
handleEditEndpoint(w, r)
return
case "/v1/completions":
handleCompletionEndpoint(w, r)
return
// TODO: implement the other endpoints
default:
// the endpoint doesn't exist
http.Error(w, "the resource path doesn't exist", http.StatusNotFound)
return
}
}))
}