ArchiveBox/archivebox/actors/actor.py
2024-10-31 07:11:15 -07:00

229 lines
9.5 KiB
Python

__package__ = 'archivebox.actors'
import os
import time
import psutil
from typing import ClassVar, Generic, TypeVar, Any, cast, Literal, Type
from rich import print
from django import db
from django.db import models
from django.db.models import QuerySet
from multiprocessing import Process, cpu_count
from threading import Thread, get_native_id
# from archivebox.logging_util import TimedProgress
ALL_SPAWNED_ACTORS: list[psutil.Process] = []
LaunchKwargs = dict[str, Any]
ModelType = TypeVar('ModelType', bound=models.Model)
class ActorType(Generic[ModelType]):
pid: int
idle_count: int = 0
launch_kwargs: LaunchKwargs = {}
# model_type: Type[ModelType]
MAX_CONCURRENT_ACTORS: ClassVar[int] = min(max(2, int(cpu_count() * 0.6)), 8) # min 2, max 8
MAX_TICK_TIME: ClassVar[int] = 60
def __init__(self, mode: Literal['thread', 'process']='process', **launch_kwargs: LaunchKwargs):
self.mode = mode
self.launch_kwargs = launch_kwargs or dict(self.launch_kwargs)
def __repr__(self) -> str:
label = 'pid' if self.mode == 'process' else 'tid'
return f'[underline]{self.__class__.__name__}[/underline]\\[{label}={self.pid}]'
def __str__(self) -> str:
return self.__repr__()
@classmethod
def get_running_actors(cls) -> list[int]:
"""returns a list of pids of all running actors of this type"""
# WARNING: only works for process actors, not thread actors
return [
proc.pid for proc in ALL_SPAWNED_ACTORS
if proc.is_running() and proc.status() != 'zombie'
]
@classmethod
def fork_actor_as_thread(cls, **launch_kwargs: LaunchKwargs) -> int:
actor = cls(mode='thread', **launch_kwargs)
bg_actor_thread = Thread(target=actor.runloop)
bg_actor_thread.start()
assert bg_actor_thread.native_id is not None
return bg_actor_thread.native_id
@classmethod
def fork_actor_as_process(cls, **launch_kwargs: LaunchKwargs) -> int:
actor = cls(mode='process', **launch_kwargs)
bg_actor_process = Process(target=actor.runloop)
bg_actor_process.start()
assert bg_actor_process.pid is not None
ALL_SPAWNED_ACTORS.append(psutil.Process(pid=bg_actor_process.pid))
return bg_actor_process.pid
@classmethod
def start(cls, mode: Literal['thread', 'process']='process', **launch_kwargs: LaunchKwargs) -> int:
if mode == 'thread':
return cls.fork_actor_as_thread(**launch_kwargs)
elif mode == 'process':
return cls.fork_actor_as_process(**launch_kwargs)
raise ValueError(f'Invalid actor mode: {mode}')
@classmethod
def get_queue(cls) -> QuerySet:
"""override this to provide your queryset as the queue"""
# return ArchiveResult.objects.filter(status='queued', extractor__in=('pdf', 'dom', 'screenshot'))
raise NotImplementedError
@classmethod
def get_next(cls, atomic: bool=True) -> ModelType | None:
if atomic:
return cls.get_next_atomic(model=cls.get_queue().model)
return cls.get_queue().last()
@classmethod
def get_next_atomic(cls, model: Type, filter=('status', 'queued'), update=('status', 'started'), sort='created_at', order='DESC', choose_from_top=50) -> ModelType | None:
"""
atomically claim a random object from the top n=50 objects in the queue by updating status=queued->started
optimized for minimizing contention on the queue with other actors selecting from the same list
"""
app_label = model._meta.app_label
model_name = model._meta.model_name
with db.connection.cursor() as cursor:
# subquery gets the pool of the top 50 candidates sorted by sort and order
# main query selects a random one from that pool
cursor.execute(f"""
UPDATE {app_label}_{model_name}
SET {update[0]} = '{update[1]}'
WHERE {filter[0]} = '{filter[1]}' and id = (
SELECT id FROM (
SELECT id FROM {app_label}_{model_name}
WHERE {filter[0]} = '{filter[1]}'
ORDER BY {sort} {order}
LIMIT {choose_from_top}
) candidates
ORDER BY RANDOM()
LIMIT 1
)
RETURNING *;
""")
result = cursor.fetchone()
# If no rows were claimed, return None
if result is None:
return None
# reconstruct model instance from the row tuple
columns = [col[0] for col in cursor.description]
return model(**dict(zip(columns, result)))
@classmethod
def get_actors_to_spawn(cls, queue, running_actors) -> list[LaunchKwargs]:
"""Get a list of launch kwargs for the number of actors to spawn based on the queue and currently running actors"""
actors_to_spawn: list[LaunchKwargs] = []
max_spawnable = cls.MAX_CONCURRENT_ACTORS - len(running_actors)
queue_length = queue.count()
# spawning new actors is expensive, avoid spawning all the actors at once. To stagger them,
# let the next orchestrator tick handle starting another 2 on the next tick()
# if queue_length > 10: # queue is long, spawn as many as possible
# actors_to_spawn += max_spawnable * [{}]
if not queue_length: # queue is empty, spawn 0 actors
return actors_to_spawn
elif queue_length > 4: # queue is medium, spawn 1 or 2 actors
actors_to_spawn += min(2, max_spawnable) * [{**cls.launch_kwargs}]
else: # queue is short, spawn 1 actor
actors_to_spawn += min(1, max_spawnable) * [{**cls.launch_kwargs}]
return actors_to_spawn
def on_startup(self):
if self.mode == 'thread':
self.pid = get_native_id() # thread id
print(f'[green]🏃‍♂️ {self}.on_startup() STARTUP (THREAD)[/green]')
else:
self.pid = os.getpid() # process id
print(f'[green]🏃‍♂️ {self}.on_startup() STARTUP (PROCESS)[/green]')
# abx.pm.hook.on_actor_startup(self)
def on_shutdown(self, err: BaseException | None=None):
print(f'[grey53]🏃‍♂️ {self}.on_shutdown() SHUTTING DOWN[/grey53]', err or '[green](gracefully)[/green]')
# abx.pm.hook.on_actor_shutdown(self)
def on_tick_start(self, obj: ModelType):
# print(f'🏃‍♂️ {self}.on_tick_start()', getattr(obj, 'abid', obj.id))
# abx.pm.hook.on_actor_tick_start(self, obj_to_process)
# self.timer = TimedProgress(self.MAX_TICK_TIME, prefix=' ')
pass
def on_tick_end(self, obj: ModelType):
# print(f'🏃‍♂️ {self}.on_tick_end()', getattr(obj, 'abid', obj.id))
# abx.pm.hook.on_actor_tick_end(self, obj_to_process)
# self.timer.end()
pass
def on_tick_exception(self, obj: ModelType, err: BaseException):
print(f'[red]🏃‍♂️ {self}.on_tick_exception()[/red]', getattr(obj, 'abid', obj.id), err)
# abx.pm.hook.on_actor_tick_exception(self, obj_to_process, err)
def runloop(self):
self.on_startup()
try:
while True:
obj_to_process: ModelType | None = None
try:
obj_to_process = cast(ModelType, self.get_next())
except Exception:
pass
if obj_to_process:
self.idle_count = 0
else:
if self.idle_count >= 30:
break # stop looping and exit if queue is empty and we have rechecked it 30 times
else:
# print('Actor runloop()', f'pid={self.pid}', 'queue empty, rechecking...')
self.idle_count += 1
time.sleep(1)
continue
if not self.lock(obj_to_process):
# we are unable to lock the object, some other actor got it first. skip it and get the next object
continue
self.on_tick_start(obj_to_process)
try:
# run the tick function on the object
self.tick(obj_to_process)
except Exception as err:
print(f'[red]🏃‍♂️ ERROR: {self}.tick()[/red]', err)
db.connections.close_all()
self.on_tick_exception(obj_to_process, err)
finally:
self.on_tick_end(obj_to_process)
self.on_shutdown(err=None)
except BaseException as err:
if isinstance(err, KeyboardInterrupt):
print()
else:
print(f'\n[red]🏃‍♂️ {self}.runloop() FATAL:[/red]', err.__class__.__name__, err)
self.on_shutdown(err=err)
def tick(self, obj: ModelType) -> None:
print(f'[blue]🏃‍♂️ {self}.tick()[/blue]', getattr(obj, 'abid', obj.id))
def lock(self, obj: ModelType) -> bool:
print(f'[blue]🏃‍♂️ {self}.lock()[/blue]', getattr(obj, 'abid', obj.id))
return True