Revised error codes and functional PlaybackEngine

All internal and public errors have been revised (GPT 5.6 Sol) to return
more detail without horrendously long error classes, this has reduced
the number of error types but each now carries a reason and a code for
differentiation if needed

PlaybackEngine has been implemented and is functional, core mode changes
what signal descriptors are returned to avoid duplicates, the playback
engine currently discards the derived signals that would be recorded in
the DLPak and derived signals are reprocessed live

Future will require the behavior listed above to be selectable so one of
two options are possible:
A - Derived signals are reprocessed live by the relevant derive units
(current behavior
B - Derived signals are played back directly from the PlaybackEngine,
this requires turning off the routing to the live derive units to avoid
duplicate values

This will also require the option to perform offline processing with
derive units to be able to create derived signals after the fact, this
will likely incur a new 'offline' mode in the core to gate things
correctly, this will likely be useful for heavier processing that cannot
be done live, filters that require a lookahead, or more precise derived
signals using interpolated signals for higher acurracy which also brings
the ability to offline process on a fixed timebase instead of following
either input signal to the derived signal
This commit is contained in:
h3cx committed 2026-09-13 12:26:12 +02:00
1 parent bbc5aac891
commit 9407bfeb79
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@@ -2,53 +2,53 @@
# Copyright (C) 2026 Association Exergie <association.exergie@gmail.com>
# SPDX-License-Identifier: GPL-3.0-or-later
# Core error declarations
class CoreError(Exception):
"""DynaLab Core error."""
"""Public exceptions raised by DynaLab Core.
Catch a subsystem exception when recovery depends on where an operation failed,
or catch :class:`DynaLabError` to handle every expected library error. The
``code`` attribute is stable and intended for programmatic decisions; the
exception message is written for people.
"""
class CoreModeIncorrectError(CoreError):
"""DynaLab Core mode error."""
class DynaLabError(Exception):
"""Base class for expected errors raised by DynaLab Core."""
def __init__(self, message: str, *, code: str) -> None:
self.code = code
super().__init__(message)
class CoreModeSwitchImpossibleError(CoreError):
"""DynaLab Core mode error."""
class CoreError(DynaLabError):
"""The core cannot perform the requested lifecycle or mode operation."""
class CoreStateMismatchError(CoreError):
"""DynaLab Core state error."""
class DLPakError(DynaLabError):
"""A DLPak archive cannot be prepared, read, or written."""
# DLPak error declarations
class DLPakError(Exception):
"""DLPak error."""
class DeriveError(DynaLabError):
"""A derive unit cannot be created or used as requested."""
class DLPakNoDataError(DLPakError):
"""DLPak no data error."""
class PlaybackError(DynaLabError):
"""The playback engine cannot perform the requested operation."""
# DeriveUnit error declarations
class DeriveUnitError(Exception):
"""DeriveUnit error."""
class ConnectorError(DynaLabError):
"""A connector endpoint or registry operation failed."""
class DeriveUnitInvalidSignatureError(DeriveUnitError):
"""DeriveUnit invalid processing function signature error."""
class JsonServerError(DynaLabError):
"""The JSON protocol server cannot perform the requested operation."""
class DeriveUnitArgsMismatchError(DeriveUnitError):
"""DeriveUnit incorrect arguments provided error."""
class DeriveUnitMultipleFunctionsFoundError(DeriveUnitError):
"""DynaLab Core multiple functions found while trying to create derive unit."""
# DeriveRegistry error declarations
class DeriveRegistryError(Exception):
"""Generic ConnectorRegistry Error"""
class DeriveRegistryAlreadyRegisteredError(DeriveRegistryError):
"""ConnectorRegistry endpoint already registered"""
__all__ = [
"ConnectorError",
"CoreError",
"DLPakError",
"DeriveError",
"DynaLabError",
"JsonServerError",
"PlaybackError",
]