Source code for retentioneering.eventstream.helpers.add_positive_events_helper
from __future__ import annotations
from typing import Callable, List, Optional
from retentioneering.backend.tracker import (
collect_data_performance,
time_performance,
track,
)
from retentioneering.utils.doc_substitution import docstrings
from ..types import EventstreamType
class AddPositiveEventsHelperMixin:
[docs] @docstrings.with_indent(12)
@time_performance(
scope="add_positive_events",
event_name="helper",
event_value="combine",
)
def add_positive_events(
self: EventstreamType, targets: List[str], func: Optional[Callable] = None
) -> EventstreamType:
"""
A method of ``Eventstream`` class that creates new synthetic
events in paths of all users having the specified events - ``positive_target_RAW_EVENT_NAME``.
Parameters
----------
%(AddPositiveEvents.parameters)s
Returns
-------
Eventstream
Input ``eventstream`` with new synthetic events.
"""
calling_params = {
"targets": targets,
"func": func,
}
# avoid circular import
from retentioneering.data_processors_lib import (
AddPositiveEvents,
AddPositiveEventsParams,
)
from retentioneering.preprocessing_graph import PreprocessingGraph
from retentioneering.preprocessing_graph.nodes import EventsNode
p = PreprocessingGraph(source_stream=self) # type: ignore
params: dict[str, list[str] | Callable] = {"targets": targets}
if func:
params["func"] = func
node = EventsNode(processor=AddPositiveEvents(params=AddPositiveEventsParams(**params))) # type: ignore
p.add_node(node=node, parents=[p.root])
result = p.combine(node)
del p
collect_data_performance(
scope="add_positive_events",
event_name="metadata",
called_params=calling_params,
performance_data={},
eventstream_index=self._eventstream_index,
parent_eventstream_index=self._eventstream_index,
child_eventstream_index=result._eventstream_index,
)
return result