Module nari.io.reader.actlogutils.targeticon
Parse content-specific overhead marker data from ACT log line
Expand source code
"""Parse content-specific overhead marker data from ACT log line"""
from nari.types import Timestamp
from nari.types.actor import Actor
from nari.types.event import Event
from nari.types.event.markers import OverheadVFX
def targeticon_from_logline(timestamp: Timestamp, params: list[str]) -> Event:
"""Parses a target icon event from an ACT log line
ACT Event ID (decimal): 27
## Param layout from ACT
The first two params in every event is the ACT event ID and the timestamp it was parsed; the following table documents all the other fields.
|Index|Type|Description|
|----:|----|:----------|
|0 |int|Target actor ID|
|1 |string|Target actor name|
|2 |int|padding|
|3 |int|padding|
|4 |int|Lockon ID|
|5 |int|padding|
|6 |int|padding|
|7 |int|padding|
"""
actor = Actor(*params[0:2])
return OverheadVFX(
timestamp=timestamp,
actor=actor,
marker_id=int(params[4], 16)
)
Functions
def targeticon_from_logline(timestamp: int, params: list[str]) ‑> Event
-
Parses a target icon event from an ACT log line
ACT Event ID (decimal): 27
Param layout from ACT
The first two params in every event is the ACT event ID and the timestamp it was parsed; the following table documents all the other fields.
Index Type Description 0 int Target actor ID 1 string Target actor name 2 int padding 3 int padding 4 int Lockon ID 5 int padding 6 int padding 7 int padding Expand source code
def targeticon_from_logline(timestamp: Timestamp, params: list[str]) -> Event: """Parses a target icon event from an ACT log line ACT Event ID (decimal): 27 ## Param layout from ACT The first two params in every event is the ACT event ID and the timestamp it was parsed; the following table documents all the other fields. |Index|Type|Description| |----:|----|:----------| |0 |int|Target actor ID| |1 |string|Target actor name| |2 |int|padding| |3 |int|padding| |4 |int|Lockon ID| |5 |int|padding| |6 |int|padding| |7 |int|padding| """ actor = Actor(*params[0:2]) return OverheadVFX( timestamp=timestamp, actor=actor, marker_id=int(params[4], 16) )