mirrors/ArchiveBox
1
0
Fork 0
mirror of https://github.com/ArchiveBox/ArchiveBox.git synced 2025-05-27 21:24:16 -04:00
Code Issues Projects Releases Packages Wiki Activity Actions

add new Event model to workers/models

Browse source
This commit is contained in:
Nick Sweeting 2024-12-12 21:40:57 -08:00
parent 651ba0b11c
commit 5c06b8ff00
No known key found for this signature in database
5 changed files with 468 additions and 229 deletions
Download patch file Download diff file Expand all files Collapse all files

46
archivebox/core/statemachines.py
View file

@ -11,7 +11,7 @@ from rich import print
from statemachine import State, StateMachine
from workers.actor import ActorType
# from workers.actor import ActorType
from core.models import Snapshot, ArchiveResult
@ -107,19 +107,19 @@ class SnapshotMachine(StateMachine, strict_states=True):
)
class SnapshotWorker(ActorType[Snapshot]):
"""
The primary actor for progressing Snapshot objects
through their lifecycle using the SnapshotMachine.
"""
Model = Snapshot
StateMachineClass = SnapshotMachine
# class SnapshotWorker(ActorType[Snapshot]):
# """
# The primary actor for progressing Snapshot objects
# through their lifecycle using the SnapshotMachine.
# """
# Model = Snapshot
# StateMachineClass = SnapshotMachine
ACTIVE_STATE: ClassVar[State] = SnapshotMachine.started # 'started'
# ACTIVE_STATE: ClassVar[State] = SnapshotMachine.started # 'started'
MAX_CONCURRENT_ACTORS: ClassVar[int] = 3
MAX_TICK_TIME: ClassVar[int] = 10
CLAIM_FROM_TOP_N: ClassVar[int] = MAX_CONCURRENT_ACTORS * 10
# MAX_CONCURRENT_ACTORS: ClassVar[int] = 3
# MAX_TICK_TIME: ClassVar[int] = 10
# CLAIM_FROM_TOP_N: ClassVar[int] = MAX_CONCURRENT_ACTORS * 10
@ -263,16 +263,16 @@ class ArchiveResultMachine(StateMachine, strict_states=True):
self.archiveresult.snapshot.update_for_workers() # bump snapshot retry time so it picks up all the new changes
class ArchiveResultWorker(ActorType[ArchiveResult]):
"""
The primary actor for progressing ArchiveResult objects
through their lifecycle using the ArchiveResultMachine.
"""
Model = ArchiveResult
StateMachineClass = ArchiveResultMachine
# class ArchiveResultWorker(ActorType[ArchiveResult]):
# """
# The primary actor for progressing ArchiveResult objects
# through their lifecycle using the ArchiveResultMachine.
# """
# Model = ArchiveResult
# StateMachineClass = ArchiveResultMachine
ACTIVE_STATE: ClassVar[State] = ArchiveResultMachine.started # 'started'
# ACTIVE_STATE: ClassVar[State] = ArchiveResultMachine.started # 'started'
MAX_CONCURRENT_ACTORS: ClassVar[int] = 6
MAX_TICK_TIME: ClassVar[int] = 60
CLAIM_FROM_TOP_N: ClassVar[int] = MAX_CONCURRENT_ACTORS * 10
# MAX_CONCURRENT_ACTORS: ClassVar[int] = 6
# MAX_TICK_TIME: ClassVar[int] = 60
# CLAIM_FROM_TOP_N: ClassVar[int] = MAX_CONCURRENT_ACTORS * 10