Files
sub2api/backend/internal/service/openai_gateway_count_tokens_test.go
T
李建琦 6d655c9903
Release / update-version (push) Has been cancelled
Release / build-frontend (push) Has been cancelled
Release / release (push) Has been cancelled
Release / sync-version-file (push) Has been cancelled
CI / shell (push) Canceled after 0s
CI / test (push) Canceled after 0s
CI / frontend (push) Canceled after 0s
CI / golangci-lint (push) Canceled after 0s
Security Scan / backend-security (push) Canceled after 0s
Security Scan / frontend-security (push) Canceled after 0s
Sub2API v1.0 - AI API 网关(二开初始版本,基于上游 Wei-Shaw/sub2api)
2026-08-21 18:30:13 +08:00

410 lines
13 KiB
Go

package service
import (
"bytes"
"context"
"encoding/json"
"fmt"
"io"
"net/http"
"net/http/httptest"
"os"
"strconv"
"strings"
"testing"
"time"
"github.com/Wei-Shaw/sub2api/internal/config"
"github.com/Wei-Shaw/sub2api/internal/pkg/apicompat"
"github.com/gin-gonic/gin"
"github.com/stretchr/testify/require"
"github.com/tidwall/gjson"
)
type countTokensRuntimeStateRepo struct {
AccountRepository
tempUnschedCalls int
setErrorCalls int
}
func (r *countTokensRuntimeStateRepo) SetTempUnschedulable(_ context.Context, _ int64, _ time.Time, _ string) error {
r.tempUnschedCalls++
return nil
}
func (r *countTokensRuntimeStateRepo) SetError(_ context.Context, _ int64, _ string) error {
r.setErrorCalls++
return nil
}
func TestOpenAIGatewayService_ForwardCountTokensAsAnthropic_APIKeyUsesResponsesInputTokens(t *testing.T) {
gin.SetMode(gin.TestMode)
rec := httptest.NewRecorder()
c, _ := gin.CreateTestContext(rec)
body := []byte(`{"model":"claude-sonnet-4-5","system":"You are helpful.","messages":[{"role":"user","content":"hello"}],"tools":[{"name":"lookup","input_schema":{"type":"object"}}]}`)
c.Request = httptest.NewRequest(http.MethodPost, "/v1/messages/count_tokens", bytes.NewReader(body))
c.Request.Header.Set("Content-Type", "application/json")
upstream := &httpUpstreamRecorder{resp: &http.Response{
StatusCode: http.StatusOK,
Header: http.Header{"Content-Type": []string{"application/json"}},
Body: io.NopCloser(strings.NewReader(`{"object":"response.input_tokens","input_tokens":42}`)),
}}
svc := &OpenAIGatewayService{
cfg: &config.Config{Security: config.SecurityConfig{URLAllowlist: config.URLAllowlistConfig{
Enabled: false,
AllowInsecureHTTP: true,
}}},
httpUpstream: upstream,
}
account := &Account{
ID: 101,
Name: "openai-apikey",
Platform: PlatformOpenAI,
Type: AccountTypeAPIKey,
Concurrency: 1,
Credentials: map[string]any{
"api_key": "sk-test",
"base_url": "http://upstream.example",
},
Status: StatusActive,
Schedulable: true,
}
err := svc.ForwardCountTokensAsAnthropic(context.Background(), c, account, body, "gpt-5.3-codex")
require.NoError(t, err)
require.Equal(t, http.StatusOK, rec.Code)
require.JSONEq(t, `{"input_tokens":42}`, rec.Body.String())
require.NotNil(t, upstream.lastReq)
require.Equal(t, "http://upstream.example/v1/responses/input_tokens", upstream.lastReq.URL.String())
require.Equal(t, "Bearer sk-test", upstream.lastReq.Header.Get("authorization"))
require.Equal(t, "gpt-5.3-codex", gjson.GetBytes(upstream.lastBody, "model").String())
require.True(t, gjson.GetBytes(upstream.lastBody, "input").Exists())
require.False(t, gjson.GetBytes(upstream.lastBody, "messages").Exists())
}
func TestOpenAIGatewayService_ForwardCountTokensAsAnthropic_OAuthFallsBackWhenPlatformEndpointUnsupported(t *testing.T) {
gin.SetMode(gin.TestMode)
body := []byte(`{"model":"claude-opus-4-1","messages":[{"role":"user","content":"hello"}]}`)
account := &Account{
ID: 202,
Name: "openai-oauth",
Platform: PlatformOpenAI,
Type: AccountTypeOAuth,
Concurrency: 1,
Credentials: map[string]any{
"access_token": "oauth-token",
"refresh_token": "oauth-refresh-token",
},
Status: StatusActive,
Schedulable: true,
}
prepared, err := prepareOpenAIInputTokensCountRequest(body, account, "gpt-5.4")
require.NoError(t, err)
expectedEstimate, err := estimateOpenAIInputTokens(prepared.Request)
require.NoError(t, err)
cases := []struct {
name string
statusCode int
body string
}{
{
name: "401_missing_responses_write_scope",
statusCode: http.StatusUnauthorized,
body: `{"error":{"type":"invalid_request_error","code":"missing_scope","message":"You have insufficient permissions for this operation. Missing scopes: api.responses.write."}}`,
},
{
name: "403_missing_responses_write_scope",
statusCode: http.StatusForbidden,
body: `{"error":{"type":"invalid_request_error","code":"missing_scope","message":"Missing scopes: api.responses.write"}}`,
},
{
name: "403_html_proxy_page",
statusCode: http.StatusForbidden,
body: "<!doctype html><html><body>Forbidden</body></html>",
},
{
name: "404_input_tokens_unsupported",
statusCode: http.StatusNotFound,
body: `{"error":{"type":"invalid_request_error","message":"The /v1/responses/input_tokens endpoint was not found"}}`,
},
}
for _, tt := range cases {
t.Run(tt.name, func(t *testing.T) {
rec := httptest.NewRecorder()
c, _ := gin.CreateTestContext(rec)
c.Request = httptest.NewRequest(http.MethodPost, "/v1/messages/count_tokens", bytes.NewReader(body))
c.Request.Header.Set("Content-Type", "application/json")
c.Request.Header.Set("User-Agent", "Claude-Code/1.0")
upstream := &httpUpstreamRecorder{resp: &http.Response{
StatusCode: tt.statusCode,
Header: http.Header{"Content-Type": []string{"application/json"}},
Body: io.NopCloser(strings.NewReader(tt.body)),
}}
repo := &countTokensRuntimeStateRepo{}
svc := &OpenAIGatewayService{
cfg: &config.Config{},
httpUpstream: upstream,
rateLimitService: &RateLimitService{accountRepo: repo, cfg: &config.Config{}},
}
err := svc.ForwardCountTokensAsAnthropic(context.Background(), c, account, body, "gpt-5.4")
require.NoError(t, err)
require.Equal(t, http.StatusOK, rec.Code)
require.JSONEq(t, `{"input_tokens":`+strconv.Itoa(expectedEstimate)+`}`, rec.Body.String())
require.NotNil(t, upstream.lastReq)
require.Equal(t, "https://api.openai.com/v1/responses/input_tokens", upstream.lastReq.URL.String())
require.Equal(t, "Bearer oauth-token", upstream.lastReq.Header.Get("authorization"))
require.Empty(t, upstream.lastReq.Header.Get("Chatgpt-Account-Id"))
require.Zero(t, repo.tempUnschedCalls, "OAuth input_tokens unsupported errors must not temp-unschedule the account")
require.Zero(t, repo.setErrorCalls, "OAuth input_tokens unsupported errors must not mark the account error")
})
}
}
func TestOpenAIGatewayService_OpenAIOAuthInputTokensFallbackUsesMinimumWhenEstimateFails(t *testing.T) {
gin.SetMode(gin.TestMode)
rec := httptest.NewRecorder()
c, _ := gin.CreateTestContext(rec)
prepared := &openAIInputTokensCountPrepared{
Request: openAIInputTokensCountRequest{
Model: "gpt-5",
Input: json.RawMessage(`[`),
},
UpstreamModel: "gpt-5",
}
writeOpenAIOAuthInputTokensFallback(c, &Account{ID: 303}, prepared, http.StatusUnauthorized)
require.Equal(t, http.StatusOK, rec.Code)
require.JSONEq(t, `{"input_tokens":1}`, rec.Body.String())
}
func TestEstimateOpenAIInputTokens_RequestSamples(t *testing.T) {
cases := []struct {
name string
req openAIInputTokensCountRequest
want int
}{
{
name: "simple text input",
req: openAIInputTokensCountRequest{
Model: "gpt-5",
Input: json.RawMessage(`[{"role":"user","content":"hello world"}]`),
},
want: 6,
},
{
name: "instructions plus tool schema",
req: openAIInputTokensCountRequest{
Model: "gpt-5",
Instructions: "You are helpful.",
Input: json.RawMessage(`[{"role":"user","content":"lookup weather in shanghai"}]`),
Tools: []apicompat.ResponsesTool{
{
Type: "function",
Name: "lookup_weather",
Description: "Look up current weather",
Parameters: json.RawMessage(`{"type":"object","properties":{"city":{"type":"string"}},"required":["city"]}`),
},
},
},
want: 50,
},
{
name: "input parts and tool output",
req: openAIInputTokensCountRequest{
Model: "gpt-4.1",
Input: json.RawMessage(`[
{"role":"user","content":[{"type":"input_text","text":"first line"},{"type":"input_text","text":"second line"}]},
{"type":"function_call_output","call_id":"call_123","output":"{\"ok\":true}"}
]`),
},
want: 24,
},
}
for _, tt := range cases {
t.Run(tt.name, func(t *testing.T) {
got, err := estimateOpenAIInputTokens(tt.req)
require.NoError(t, err)
require.Equal(t, tt.want, got)
})
}
}
func TestEstimateGrokCountTokens_AnthropicRequests(t *testing.T) {
cases := []struct {
name string
body string
}{
{
name: "simple message",
body: `{"model":"grok-4","messages":[{"role":"user","content":"hello world"}]}`,
},
{
name: "system blocks and tools",
body: `{
"model":"grok-4",
"system":[{"type":"text","text":"You are helpful."}],
"messages":[{"role":"user","content":[{"type":"text","text":"look up the weather"}]}],
"tools":[{"name":"lookup_weather","description":"Look up weather","input_schema":{"type":"object","properties":{"city":{"type":"string"}}}}],
"tool_choice":{"type":"auto"}
}`,
},
{
name: "empty conversation uses positive minimum",
body: `{"model":"grok-4","messages":[]}`,
},
}
for _, tt := range cases {
t.Run(tt.name, func(t *testing.T) {
got, err := EstimateGrokCountTokens([]byte(tt.body))
require.NoError(t, err)
require.Positive(t, got)
})
}
}
func TestEstimateGrokCountTokens_RejectsInvalidRequests(t *testing.T) {
for _, body := range []string{
`{`,
`{"messages":[{"role":"user","content":"hello"}]}`,
`{"model":"grok-4","messages":[{"role":"user","content":{"unexpected":true}}]}`,
} {
_, err := EstimateGrokCountTokens([]byte(body))
require.Error(t, err, "body=%s", body)
}
}
func TestOpenAIInputTokensEncodingForModel(t *testing.T) {
cases := []struct {
model string
want string
}{
{model: "gpt-5", want: "o200k_base"},
{model: "gpt-5.3-codex", want: "o200k_base"},
{model: "gpt-4o-mini", want: "o200k_base"},
{model: "gpt-4.1", want: "o200k_base"},
{model: "gpt-4-turbo", want: "cl100k_base"},
{model: "gpt-3.5-turbo", want: "cl100k_base"},
}
for _, tt := range cases {
t.Run(tt.model, func(t *testing.T) {
require.Equal(t, tt.want, string(openAIInputTokensEncodingForModel(tt.model)))
})
}
}
func TestEstimateOpenAIInputTokens_CompareWithOpenAIAPI(t *testing.T) {
apiKey := strings.TrimSpace(os.Getenv("OPENAI_API_KEY"))
if apiKey == "" {
t.Skip("OPENAI_API_KEY not set")
}
// Invalid/expired keys in local env must not fail the unit suite.
if strings.HasPrefix(apiKey, "sk-") && len(apiKey) < 20 {
t.Skip("OPENAI_API_KEY looks incomplete")
}
client := &http.Client{Timeout: 30 * time.Second}
cases := []struct {
name string
anthropicBody []byte
defaultOpenAIModel string
}{
{
name: "simple user text",
defaultOpenAIModel: "gpt-5",
anthropicBody: []byte(`{"model":"claude-sonnet-4-5","messages":[{"role":"user","content":"hello world from sub2api"}]}`),
},
{
name: "system plus tool",
defaultOpenAIModel: "gpt-5",
anthropicBody: []byte(`{"model":"claude-sonnet-4-5","system":"You are helpful.","messages":[{"role":"user","content":"find weather in shanghai"}],"tools":[{"name":"lookup_weather","description":"Look up current weather","input_schema":{"type":"object","properties":{"city":{"type":"string"}},"required":["city"]}}]}`),
},
{
name: "multi turn text",
defaultOpenAIModel: "gpt-4.1",
anthropicBody: []byte(`{"model":"claude-opus-4-1","messages":[{"role":"user","content":"summarize this repo"},{"role":"assistant","content":"which repo?"},{"role":"user","content":"sub2api"}]}`),
},
}
account := &Account{Platform: PlatformOpenAI, Type: AccountTypeAPIKey}
for _, tc := range cases {
t.Run(tc.name, func(t *testing.T) {
prepared, err := prepareOpenAIInputTokensCountRequest(tc.anthropicBody, account, tc.defaultOpenAIModel)
require.NoError(t, err)
estimated, err := estimateOpenAIInputTokens(prepared.Request)
require.NoError(t, err)
actual, err := callOpenAIInputTokensAPIForTest(client, apiKey, prepared.Request)
if err != nil {
// Live-API comparison only; invalid/expired local keys should skip, not fail CI.
if strings.Contains(err.Error(), "status=401") || strings.Contains(err.Error(), "invalid_api_key") {
t.Skipf("OPENAI_API_KEY rejected by OpenAI: %v", err)
}
require.NoError(t, err)
}
diff := estimated - actual
if diff < 0 {
diff = -diff
}
t.Logf("model=%s estimated=%d actual=%d diff=%d", prepared.Request.Model, estimated, actual, diff)
require.LessOrEqual(t, diff, maxLocalInt(24, actual/4))
})
}
}
func callOpenAIInputTokensAPIForTest(client *http.Client, apiKey string, reqBody openAIInputTokensCountRequest) (int, error) {
body, err := marshalOpenAIUpstreamJSON(reqBody)
if err != nil {
return 0, err
}
req, err := http.NewRequest(http.MethodPost, openaiPlatformAPIInputTokensURL, bytes.NewReader(body))
if err != nil {
return 0, err
}
req.Header.Set("authorization", "Bearer "+apiKey)
req.Header.Set("content-type", "application/json")
req.Header.Set("accept", "application/json")
resp, err := client.Do(req)
if err != nil {
return 0, err
}
defer func() { _ = resp.Body.Close() }()
respBody, err := io.ReadAll(resp.Body)
if err != nil {
return 0, err
}
if resp.StatusCode >= 400 {
return 0, fmt.Errorf("openai input_tokens api error: status=%d body=%s", resp.StatusCode, string(respBody))
}
value := gjson.GetBytes(respBody, "input_tokens")
if !value.Exists() {
return 0, fmt.Errorf("openai input_tokens api missing input_tokens: %s", string(respBody))
}
return int(value.Int()), nil
}
func maxLocalInt(a, b int) int {
if a > b {
return a
}
return b
}