How to use the trains.utilities.pyhocon.ConfigTree.merge_configs function in trains

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github allegroai / trains / trains / backend_interface / task / task.py View on Github external
:param log: Log object used by the infrastructure.
        :type log: logging.Logger
        :param session: Session object used for sending requests to the API
        :type session: Session
        :return: The new tasks's ID
        """

        session = session if session else cls._get_default_session()

        res = cls._send(session=session, log=log, req=tasks.GetByIdRequest(task=cloned_task_id))
        task = res.response.task
        output_dest = None
        if task.output:
            output_dest = task.output.destination
        execution = task.execution.to_dict() if task.execution else {}
        execution = ConfigTree.merge_configs(ConfigFactory.from_dict(execution),
                                             ConfigFactory.from_dict(execution_overrides or {}))
        # clear all artifacts
        execution['artifacts'] = [e for e in execution['artifacts'] if e.get('mode') == 'input']

        if not tags and task.tags:
            tags = [t for t in task.tags if t != cls._development_tag]

        req = tasks.CreateRequest(
            name=name or task.name,
            type=task.type,
            input=task.input if hasattr(task, 'input') else {'view': {}},
            tags=tags,
            comment=comment or task.comment,
            parent=parent,
            project=project if project else task.project,
            output_dest=output_dest,
github allegroai / trains / trains / backend_config / config.py View on Github external
                lambda cfg, path: ConfigTree.merge_configs(
                    cfg,
                    self._read_recursive_for_env(path, env, verbose=self._verbose),
                    copy_trees=True,
                ),
github allegroai / trains / trains / backend_config / config.py View on Github external
                lambda cfg, path: ConfigTree.merge_configs(
                    cfg, self._read_recursive(path, verbose=self._verbose), copy_trees=True
                ),
github allegroai / trains / trains / backend_config / config.py View on Github external
                lambda cfg, file_path: ConfigTree.merge_configs(
                    cfg,
                    self._read_single_file(file_path, verbose=self._verbose),
                    copy_trees=True,
                ),
github allegroai / trains / trains / backend_config / config.py View on Github external
def _read_recursive_for_env(self, root_path_str, env, verbose=True):
        root_path = Path(root_path_str)
        if root_path.exists():
            default_config = self._read_recursive(
                root_path / Environment.default, verbose=verbose
            )
            if (root_path / env) != (root_path / Environment.default):
                env_config = self._read_recursive(
                    root_path / env, verbose=verbose
                )  # None is ok, will return empty config
                config = ConfigTree.merge_configs(default_config, env_config, True)
            else:
                config = default_config
        else:
            config = ConfigTree()

        return config