freelance-project-34-market.../python/tasks/tiktok/utils.py
2024-07-06 22:05:33 +03:00

136 lines
3.5 KiB
Python

import celery.app.task
import asyncio
import inspect
import importlib
import kombu.utils.json
from typing import (
Any,
Optional,
Callable,
)
def shared_task(func: Optional[Callable[Any, Any]]=None, **kwargs: Any) -> Any:
#@celery.shared_task(
# base=Task,
# **kwargs,
#)
#def decorator2(*args, **kwargs):
# res = func(*args, **kwargs)
#
# if inspect.isawaitable(res):
# return asyncio.run(res)
# else:
# return res
#
#def decorator(func2: Callable[Any, Any]):
# nonlocal func
#
# if func is None:
# func = func2
#
# return decorator2
#
#if func is None:
# return decorator
#else:
# return decorator2
return celery.shared_task(base=Task, **kwargs)
def is_async() -> bool:
try:
asyncio.get_running_loop()
return True
except RuntimeError:
return False
class Task(celery.app.task.Task):
def __call__(self, *args, **kwargs) -> Any:
res = super().__call__(*args, **kwargs)
if inspect.isawaitable(res) and not is_async():
return asyncio.run(res)
else:
return res
#def apply(self, *args, **kwargs):
# return self.__call__(*args, **kwargs)
@classmethod
def _loads(
cls,
data_str: Optional[str]=None,
data: Optional[Any]=None,
) -> Any:
if not data_str is None:
data = kombu.utils.json.loads(data_str)
if isinstance(data, dict) and data.get('type') == 'dataclass_json':
module_name = data['module']
class_names = data['_class'].split('.')
m = importlib.import_module(module_name)
c = m
for current_name in class_names:
c = getattr(c, current_name)
return c(**data['data'])
else:
if isinstance(data, list):
return [
cls._loads(data=o)
for o in data
]
elif isinstance(data, dict):
return {
k : cls._loads(data=v)
for k, v in data.items()
}
else:
return data
@classmethod
def _dumps(
cls,
data: Any,
need_native: Optional[bool]=None,
) -> Any:
if need_native is None:
need_native = False
native = None
if hasattr(data, 'to_dict'):
native = dict(
type='dataclass_json',
module=data.__class__.__module__,
_class=data.__class__.__qualname__,
data=data.to_dict(),
)
else:
if isinstance(data, (list, tuple)):
native = [
cls._dumps(o, need_native=True,)
for o in data
]
elif isinstance(data, dict):
native = {
k : cls._dumps(v, need_native=True,)
for k, v in data.items()
}
else:
native = data
if not need_native:
return kombu.utils.json.dumps(native)
else:
return native
def kombu_register_json_dataclass():
import kombu.serialization
kombu.serialization.register(
'json-dataclass',
Task._dumps,
Task._loads,
content_type='application/json',
content_encoding='utf-8',
)