我试图使用django-dramatiq来运行一个由几个阶段组成的管道,每个阶段定义为dramatiq Actor,使用pipeline(<stages>).run()方法,但它只是运行第一个阶段/Actor,而不是尝试其他阶段。
我定义了一些假演员来说明这个问题:
import dramatiq
@dramatiq.actor
def fake_extract(process_pk, *args, **kwargs):
print(f"fake_extract: Process PK= {process_pk} Running extract on {kwargs['fits_file']}")
@dramatiq.actor
def fake_astromfit(process_pk, *args, **kwargs):
print(f"fake_astromfit: Process PK= {process_pk} Astrometric fit on {kwargs['ldac_catalog']}, updating {kwargs['fits_file']}")
@dramatiq.actor
def fake_zeropoint(process_pk, *args, **kwargs):
print(f"fake_zeropoint: Process PK= {process_pk} ZP determination on {kwargs['ldac_catalog']} with {kwargs['desired_catalog']} ref catalog")然后,我定义了各个阶段,并构建了一个管道:
import os
from dramatiq import pipeline
from test_dramatiq.dramatiq_tests import fake_extract, fake_astromfit, fake_zeropoint
fits_filepath = '/foo/bar.fits'
fits_file = os.path.basename(fits_filepath)
steps = [{
'name' : 'proc-extract',
'runner' : fake_extract,
'inputs' : {'fits_file':fits_filepath,
'datadir': os.path.join(dataroot, temp_dir)}
},
{
'name' : 'proc-astromfit',
'runner' : fake_astromfit,
'inputs' : {'fits_file' : fits_filepath,
'ldac_catalog' : os.path.join(dataroot, temp_dir, fits_file.replace('e91.fits', 'e91_ldac.fits')),
'datadir' : os.path.join(dataroot, temp_dir)
}
},
{
'name' : 'proc-zeropoint',
'runner' : fake_zeropoint,
'inputs' : {'ldac_catalog' : os.path.join(dataroot, temp_dir, fits_file.replace('e91.fits', 'e92_ldac.fits')),
'datadir' : os.path.join(dataroot, temp_dir),
'desired_catalog' : 'PS1'
}
}]
pipes = []
for step_num, step in enumerate(steps):
inputs = step['inputs']
print(f" Performing pipeline step {step['name']}")
pk = 1234+step_num
pipes.append(step['runner'].message_with_options(args=[pk,], kwargs=inputs, pipe_ignore=True))
pipeline(pipes).run()在ipython内部使用常规dramatiq运行,这些操作看起来很好,并且所有阶段都运行:
fake_extract: Process PK= 1234 Running extract on /foo/bar.fits
fake_astromfit: Process PK= 1235 Astrometric fit on /foo/Temp_cvc2/bar.fits, updating /foo/bar.fits
fake_zeropoint: Process PK= 1236 ZP determination on /foo/Temp_cvc2/bar.fits with PS1 ref catalog但是,在django-dramatiq通过Django项目的settings.py文件导入的模块中定义它们,并像上面在python manage.py shell中和python manage.py rundramatiq运行程序中那样定义管道,只运行第一阶段/Actor
fake_extract: Process PK= 1234 Running extract on /foo/bar.fits它从来不执行其他阶段..。对于这里发生了什么以及为什么多阶段管道在django-dramatiq下不能工作,有什么想法吗?
发布于 2022-08-24 23:37:47
因此,这个问题是由于Django项目的settings.py中缺少中间件而造成的,这导致了它的部分工作。我有:
DRAMATIQ_BROKER = {
'BROKER': 'dramatiq.brokers.redis.RedisBroker',
'OPTIONS': {
'url': f'redis://{REDIS_HOSTNAME}:6379',
},
'MIDDLEWARE': [
'dramatiq.middleware.AgeLimit',
'dramatiq.middleware.TimeLimit',
'dramatiq.middleware.Callbacks',
'dramatiq.middleware.Retries',
'django_dramatiq.middleware.DbConnectionsMiddleware',
]
}但是MIDDLEWARE在那里也缺少了一个'dramatiq.middleware.Pipelines',。在并重新启动runserver和rundramatiq管理命令后,上面的精简测试示例和最初的全功能版本都会开始工作。
https://stackoverflow.com/questions/73477796
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