Source code for getml.pipeline.helpers2

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"""
Helper functions that depend on Pipeline.
"""

import json

import getml.communication as comm
from getml.data import DataModel
from getml.data.helpers import _remove_trailing_underscores

from .pipeline import Pipeline

# --------------------------------------------------------------------


def _make_dummy(name):
    data_model = DataModel("dummy")
    pipeline = Pipeline(data_model=data_model)
    pipeline._id = name
    return pipeline


# --------------------------------------------------------------------


def _from_json(json_obj):
    pipe = _make_dummy("dummy")
    pipe._parse_json_obj(json_obj)
    return pipe


# --------------------------------------------------------------------


def _refresh_all():

    cmd = dict()
    cmd["type_"] = "Pipeline.refresh_all"
    cmd["name_"] = ""

    # ----------------------------------------------------------------

    sock = comm.send_and_get_socket(cmd)

    # ----------------------------------------------------------------

    msg = comm.recv_string(sock)

    if msg != "Success!":
        comm.engine_exception_handler(msg)

    # ----------------------------------------------------------------

    json_str = comm.recv_string(sock)

    # ----------------------------------------------------------------

    sock.close()

    # ----------------------------------------------------------------

    json_obj = json.loads(json_str)

    return [_from_json(obj) for obj in json_obj["pipelines"]]


# --------------------------------------------------------------------


[docs]def list_pipelines(): """Lists all pipelines present in the engine. Note that this function only lists pipelines which are part of the current project. See :func:`~getml.engine.set_project` for changing projects and :mod:`~getml.pipelines` for more details about the lifecycles of the pipelines. To subsequently load one of them, use :func:`~getml.pipeline.load`. Returns: list containing the names of all pipelines. """ cmd = dict() cmd["type_"] = "list_pipelines" cmd["name_"] = "" # ---------------------------------------------------------------- sock = comm.send_and_get_socket(cmd) # ---------------------------------------------------------------- msg = comm.recv_string(sock) if msg != "Success!": comm.engine_exception_handler(msg) # ---------------------------------------------------------------- json_str = comm.recv_string(sock) # ---------------------------------------------------------------- sock.close() # ---------------------------------------------------------------- return json.loads(json_str)["names"]
# --------------------------------------------------------------------
[docs]def load(name): """Loads a pipeline from the getML engine into Python. Args: name: The name of the pipeline to be loaded. Returns: A :meth:`~getml.Pipeline` that is a handler for the pipeline signified by name. """ return _make_dummy(name).refresh()
# --------------------------------------------------------------------
[docs]def exists(name): """ Returns true if a pipeline named 'name' exists. Args: name (str): Name of the pipeline. """ if not isinstance(name, str): raise TypeError("'name' must be of type str") all_pipelines = list_pipelines() return name in all_pipelines
# --------------------------------------------------------------------
[docs]def delete(name): """ If a pipeline named 'name' exists, it is deleted. Args: name (str): Name of the pipeline. """ if not isinstance(name, str): raise TypeError("'name' must be of type str") if exists(name): _make_dummy(name).delete()
# --------------------------------------------------------------------