fix(vertex): honor custom base_url as gateway prefix
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@@ -95,20 +95,7 @@ func (a *TaskAdaptor) BuildRequestURL(info *relaycommon.RelayInfo) (string, erro
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if strings.TrimSpace(region) == "" {
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region = "global"
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}
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if region == "global" {
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return fmt.Sprintf(
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"https://aiplatform.googleapis.com/v1/projects/%s/locations/global/publishers/google/models/%s:predictLongRunning",
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adc.ProjectID,
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modelName,
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), nil
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}
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return fmt.Sprintf(
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"https://%s-aiplatform.googleapis.com/v1/projects/%s/locations/%s/publishers/google/models/%s:predictLongRunning",
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region,
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adc.ProjectID,
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region,
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modelName,
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), nil
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return vertexcore.BuildGoogleModelURL(a.baseURL, vertexcore.DefaultAPIVersion, adc.ProjectID, region, modelName, "predictLongRunning"), nil
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}
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// BuildRequestHeader sets required headers.
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@@ -238,6 +225,22 @@ func (a *TaskAdaptor) GetModelList() []string {
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}
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func (a *TaskAdaptor) GetChannelName() string { return "vertex" }
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func buildFetchOperationURL(baseURL, upstreamName string) (string, error) {
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region := extractRegionFromOperationName(upstreamName)
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if region == "" {
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region = "us-central1"
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}
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project := extractProjectFromOperationName(upstreamName)
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modelName := extractModelFromOperationName(upstreamName)
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if strings.TrimSpace(modelName) == "" {
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return "", fmt.Errorf("cannot extract model from operation name")
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}
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if strings.TrimSpace(project) == "" {
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return "", fmt.Errorf("cannot extract project from operation name")
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}
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return vertexcore.BuildGoogleModelURL(baseURL, vertexcore.DefaultAPIVersion, project, region, modelName, "fetchPredictOperation"), nil
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}
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// FetchTask fetch task status
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func (a *TaskAdaptor) FetchTask(baseUrl, key string, body map[string]any, proxy string) (*http.Response, error) {
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taskID, ok := body["task_id"].(string)
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@@ -248,20 +251,9 @@ func (a *TaskAdaptor) FetchTask(baseUrl, key string, body map[string]any, proxy
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if err != nil {
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return nil, fmt.Errorf("decode task_id failed: %w", err)
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}
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region := extractRegionFromOperationName(upstreamName)
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if region == "" {
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region = "us-central1"
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}
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project := extractProjectFromOperationName(upstreamName)
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modelName := extractModelFromOperationName(upstreamName)
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if project == "" || modelName == "" {
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return nil, fmt.Errorf("cannot extract project/model from operation name")
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}
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var url string
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if region == "global" {
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url = fmt.Sprintf("https://aiplatform.googleapis.com/v1/projects/%s/locations/global/publishers/google/models/%s:fetchPredictOperation", project, modelName)
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} else {
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url = fmt.Sprintf("https://%s-aiplatform.googleapis.com/v1/projects/%s/locations/%s/publishers/google/models/%s:fetchPredictOperation", region, project, region, modelName)
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url, err := buildFetchOperationURL(baseUrl, upstreamName)
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if err != nil {
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return nil, err
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}
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payload := fetchOperationPayload{OperationName: upstreamName}
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data, err := common.Marshal(payload)
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