h3cx
9407bfeb79
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
147 lines
4.5 KiB
Python
147 lines
4.5 KiB
Python
from datetime import datetime, timezone
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from queue import Queue
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from uuid import uuid4
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from zipfile import BadZipFile
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import pytest
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from dynalab_core.buffer import ValueBuffer
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from dynalab_core.derive import DeriveRegistry, DeriveUnit
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from dynalab_core.dlpak import DLPak
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from dynalab_core.errors import (
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CoreError,
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DLPakError,
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DeriveError,
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DynaLabError,
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PlaybackError,
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)
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from dynalab_core.playback import PlaybackEngine
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from dynalab_core.protocols.packets.data import ValueDescriptor
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from dynalab_core.protocols.packets.handshake import SignalDescriptor
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def _identity(
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value: ValueDescriptor, output: SignalDescriptor
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) -> ValueDescriptor:
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return ValueDescriptor(
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signal_id=output.id,
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value=value.value,
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timestamp=value.timestamp,
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)
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def test_subsystem_errors_share_public_base_and_code() -> None:
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error = PlaybackError("Playback data is unavailable", code="no_data")
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assert isinstance(error, DynaLabError)
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assert error.code == "no_data"
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assert str(error) == "Playback data is unavailable"
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def test_core_rejects_invalid_mode_and_missing_recording() -> None:
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from dynalab_core import Core
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core = Core.__new__(Core)
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core._processing_buffer = None
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with pytest.raises(CoreError, match="Unknown core mode") as mode:
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core.set_mode("invalid") # type: ignore[arg-type]
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with pytest.raises(CoreError, match="no recording") as recording:
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core.write(".", "unused")
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assert mode.value.code == "invalid_mode"
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assert recording.value.code == "no_recording"
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def test_dlpak_requires_data_before_manifest() -> None:
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package = DLPak()
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with pytest.raises(DLPakError, match="before setting its data") as raised:
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package.set_manifest(datetime.now(timezone.utc), [])
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assert raised.value.code == "no_data"
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def test_dlpak_wraps_archive_read_failures(tmp_path) -> None:
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invalid_archive = tmp_path / "invalid.dlpak"
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invalid_archive.write_text("not a zip archive")
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with pytest.raises(DLPakError, match="Could not read") as raised:
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DLPak().read(invalid_archive)
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assert raised.value.code == "read_failed"
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assert isinstance(raised.value.__cause__, BadZipFile)
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def test_derive_unit_reports_argument_mismatch() -> None:
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input_signal = SignalDescriptor(id=uuid4(), name="Input", type="number")
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output_signal = SignalDescriptor(
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id=uuid4(), name="Output", type="number", origin="derived"
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)
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unit = DeriveUnit(uuid4(), _identity, [input_signal], output_signal, Queue())
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try:
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with pytest.raises(DeriveError, match="expected 1 input") as raised:
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unit.process_offline([])
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finally:
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unit.stop()
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assert raised.value.code == "argument_mismatch"
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def test_derive_registry_wraps_invalid_source() -> None:
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registry = DeriveRegistry(Queue(), lambda signal_id: None)
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output_signal = SignalDescriptor(
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id=uuid4(), name="Output", type="number", origin="derived"
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)
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try:
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with pytest.raises(DeriveError, match="Could not load") as raised:
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registry.register("def broken(", [], output_signal)
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finally:
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registry.stop()
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assert raised.value.code == "invalid_source"
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assert isinstance(raised.value.__cause__, SyntaxError)
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def test_derive_unit_rejects_configured_input_mismatch() -> None:
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output_signal = SignalDescriptor(
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id=uuid4(), name="Output", type="number", origin="derived"
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)
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with pytest.raises(DeriveError, match="input signal") as raised:
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DeriveUnit(uuid4(), _identity, [], output_signal, Queue())
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assert raised.value.code == "input_signal_mismatch"
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def test_playback_rejects_incomplete_data_and_negative_seek() -> None:
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engine = PlaybackEngine(Queue())
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try:
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with pytest.raises(PlaybackError, match="incomplete") as incomplete:
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engine.set_data(DLPak())
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with pytest.raises(PlaybackError, match="cannot be negative") as timestamp:
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engine.seek(-1)
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finally:
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engine.stop()
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assert incomplete.value.code == "incomplete_data"
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assert timestamp.value.code == "invalid_timestamp"
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def test_playback_accepts_complete_dlpak() -> None:
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signal = SignalDescriptor(id=uuid4(), name="Input", type="number")
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data = ValueBuffer()
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data.append(1, signal.id, 2.0)
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package = DLPak()
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package.set_data(data)
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package.set_manifest(datetime.now(timezone.utc), [signal])
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engine = PlaybackEngine(Queue())
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try:
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engine.set_data(package)
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finally:
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engine.stop()
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