Source code for retentioneering.eventstream.helpers.label_lost_users_helper

from __future__ import annotations

from typing import List, Optional, Tuple

from retentioneering.backend.tracker import (
    collect_data_performance,
    time_performance,
    track,
)
from retentioneering.constants import DATETIME_UNITS
from retentioneering.utils.doc_substitution import docstrings

from ..types import EventstreamType


class LabelLostUsersHelperMixin:
[docs] @docstrings.with_indent(12) @time_performance( scope="label_lost_users", event_name="helper", event_value="combine", ) def label_lost_users( self: EventstreamType, timeout: Optional[Tuple[float, DATETIME_UNITS]] = None, lost_users_list: Optional[List[int]] = None, ) -> EventstreamType: """ A method of ``Eventstream`` class that creates one of the synthetic events in each user's path: ``lost_user`` or ``absent_user`` . Parameters ---------- %(LabelLostUsers.parameters)s Returns ------- Eventstream Input ``eventstream`` with new synthetic events. """ calling_params = { "timeout": timeout, "lost_users_list": lost_users_list, } not_hash_values = ["timeout"] # avoid circular import from retentioneering.data_processors_lib import ( LabelLostUsers, LabelLostUsersParams, ) from retentioneering.preprocessing_graph import PreprocessingGraph from retentioneering.preprocessing_graph.nodes import EventsNode p = PreprocessingGraph(source_stream=self) # type: ignore node = EventsNode( processor=LabelLostUsers( params=LabelLostUsersParams(timeout=timeout, lost_users_list=lost_users_list) # type: ignore ) ) p.add_node(node=node, parents=[p.root]) result = p.combine(node) del p collect_data_performance( scope="label_lost_users", event_name="metadata", called_params=calling_params, not_hash_values=not_hash_values, performance_data={}, eventstream_index=self._eventstream_index, parent_eventstream_index=self._eventstream_index, child_eventstream_index=result._eventstream_index, ) return result