}

    @Override
    public ModelSource resolve(ModelLocator locator, String relative) {
        String norm = relative.replace('\\', File.separatorChar).replace('/', File.separatorChar);
        Path path = getPath().getParent().resolve(norm);
        Path relatedPom = locator.locateExistingPom(path);
        if (relatedPom != null) {
            return new PathSource(relatedPom.normalize(), null);

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notice, this list of conditions and the following disclaimer in the
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			args: args{
				namespace: namespaceWithAmbientEnabledLabel,
				pod:       podWithAmbientEnabledLabel,
			},
			want: true,
		},
		{
			name: "ambient mode enabled for neither namespace nor pod",
			args: args{
				namespace: unlabelledNamespace,
				pod:       unlabelledPod,
			},
			want: false,
		},
		{
			name: "pod has sidecar and namespace has ambient enabled",
			args: args{

	if !(namespace.GetLabels()[constants.DataplaneModeLabel] == constants.DataplaneModeAmbient ||
		pod.GetLabels()[constants.DataplaneModeLabel] == constants.DataplaneModeAmbient) {
		// Neither namespace nor pod has ambient mode enabled
		return false
	}
	if podHasSidecar(pod) {
		// Ztunnel and sidecar for a single pod is currently not supported; opt out.
		return false
	}

And you could do this even if the data type in the request is not JSON.

For example, in this application we don't use FastAPI's integrated functionality to extract the JSON Schema from Pydantic models nor the automatic validation for JSON. In fact, we are declaring the request content type as YAML, not JSON:

=== "Pydantic v2"

    ```Python hl_lines="17-22  24"