a5660329907136fbacc4729a6f9cafed871f06b3,server/init_fs.py,,,#,3

Before Change

        for e in json.loads(file("../configs/custom_defaults/external.json").read()):
            de,_ = ExternalServer.objects.get_or_create(name=e["name"],url=e["url"])
            de.pull()
    if sys.platform == "darwin":
        default_models = json.loads(file("../configs/custom_defaults/trained_models_mac.json").read())
    else:
        default_models = json.loads(file("../configs/custom_defaults/trained_models.json").read())
    for m in default_models:
        if m["model_type"] == TrainedModel.DETECTOR:
            dm, created = TrainedModel.objects.get_or_create(name=m["name"],algorithm=m["algorithm"],mode=m["mode"],
                                                          files=m.get("files",[]), model_filename=m.get("filename", ""),

After Change

    local_models_path = "../configs/custom_defaults/trained_models.json"
    if "INIT_MODELS" in os.environ and os.environ["INIT_MODELS"].strip():
        remote_models_path = os.environ["INIT_MODELS"]
        if not remote_models_path.startswith("/root/DVA/configs/custom_defaults/"):
            local_models_path = "custom_models.json"
            get_path_to_file(remote_models_path, local_models_path)
        else:
            local_models_path = remote_models_path
    default_models = json.loads(file(local_models_path).read())
    for m in default_models:
        if m["model_type"] == TrainedModel.DETECTOR:
            dm, created = TrainedModel.objects.get_or_create(name=m["name"],algorithm=m["algorithm"],mode=m["mode"],

Instances