mars.services.meta.api.oscar 源代码

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from typing import Dict, List, Any, Union

from .... import oscar as mo
from ....core import ChunkType
from ....core.operand import Fuse
from ....dataframe.core import DATAFRAME_TYPE, DATAFRAME_CHUNK_TYPE, \
    DATAFRAME_GROUPBY_TYPE, DATAFRAME_GROUPBY_CHUNK_TYPE, \
    SERIES_GROUPBY_TYPE, SERIES_GROUPBY_CHUNK_TYPE
from ....lib.aio import alru_cache
from ....typing import BandType
from ..core import get_meta_type
from ..store import AbstractMetaStore
from ..supervisor.core import MetaStoreManagerActor, MetaStoreActor
from .core import AbstractMetaAPI


[文档]class MetaAPI(AbstractMetaAPI):
[文档] def __init__(self, session_id: str, meta_store: Union[AbstractMetaStore, mo.ActorRef]): self._session_id = session_id self._meta_store = meta_store
@classmethod @alru_cache(cache_exceptions=False) async def create(cls, session_id: str, address: str) -> "MetaAPI": """ Create Meta API. Parameters ---------- session_id : str Session ID. address : str Supervisor address. Returns ------- meta_api Meta api. """ meta_store_ref = await mo.actor_ref( address, MetaStoreActor.gen_uid(session_id)) return MetaAPI(session_id, meta_store_ref) @mo.extensible async def set_tileable_meta(self, tileable, memory_size: int = None, store_size: int = None, **extra): params = tileable.params.copy() if isinstance(tileable, (DATAFRAME_TYPE, DATAFRAME_GROUPBY_TYPE, SERIES_GROUPBY_TYPE)): # dataframe needs some special process for now del params['columns_value'] del params['dtypes'] params.pop('key_dtypes', None) params['dtypes_value'] = tileable.dtypes_value params['nsplits'] = tileable.nsplits params.update(extra) meta = get_meta_type(type(tileable))(object_id=tileable.key, **params, memory_size=memory_size, store_size=store_size) return await self._meta_store.set_meta(tileable.key, meta) @mo.extensible async def get_tileable_meta(self, object_id: str, fields: List[str] = None) -> Dict[str, Any]: return await self._meta_store.get_meta(object_id, fields=fields) @mo.extensible async def del_tileable_meta(self, object_id: str): return await self._meta_store.del_meta(object_id) @classmethod def _extract_chunk_meta(cls, chunk: ChunkType, memory_size: int = None, store_size: int = None, bands: List[BandType] = None, **extra): if isinstance(chunk.op, Fuse): # fuse op chunk = chunk.chunk params = chunk.params.copy() chunk_key = extra.pop('chunk_key', chunk.key) if isinstance(chunk, (DATAFRAME_CHUNK_TYPE, DATAFRAME_GROUPBY_CHUNK_TYPE, SERIES_GROUPBY_CHUNK_TYPE)): # dataframe chunk needs some special process for now params.pop('columns_value', None) params.pop('dtypes', None) params.pop('key_dtypes', None) params.update(extra) return get_meta_type(type(chunk))(object_id=chunk_key, **params, bands=bands, memory_size=memory_size, store_size=store_size) @mo.extensible async def set_chunk_meta(self, chunk: ChunkType, memory_size: int = None, store_size: int = None, bands: List[BandType] = None, **extra): meta = self._extract_chunk_meta( chunk, memory_size=memory_size, store_size=store_size, bands=bands, **extra) return await self._meta_store.set_meta(meta.object_id, meta) @set_chunk_meta.batch async def batch_set_chunk_meta(self, args_list, kwargs_list): set_chunk_metas = [] for args, kwargs in zip(args_list, kwargs_list): meta = self._extract_chunk_meta(*args, **kwargs) set_chunk_metas.append(self._meta_store.set_meta.delay(meta.object_id, meta)) return await self._meta_store.set_meta.batch(*set_chunk_metas) @mo.extensible async def get_chunk_meta(self, object_id: str, fields: List[str] = None, error='raise'): return await self._meta_store.get_meta( object_id, fields=fields, error=error) @get_chunk_meta.batch async def batch_get_chunk_meta(self, args_list, kwargs_list): get_chunk_metas = [] for args, kwargs in zip(args_list, kwargs_list): get_chunk_metas.append(self._meta_store.get_meta.delay(*args, **kwargs)) return await self._meta_store.get_meta.batch(*get_chunk_metas) @mo.extensible async def del_chunk_meta(self, object_id: str): return await self._meta_store.del_meta(object_id) @del_chunk_meta.batch async def batch_del_chunk_meta(self, args_list, kwargs_list): del_chunk_metas = [] for args, kwargs in zip(args_list, kwargs_list): del_chunk_metas.append(self._meta_store.del_meta.delay(*args, **kwargs)) return await self._meta_store.del_meta.batch(*del_chunk_metas) @mo.extensible async def add_chunk_bands(self, object_id: str, bands: List[BandType]): return await self._meta_store.add_chunk_bands(object_id, bands) @add_chunk_bands.batch async def batch_add_chunk_bands(self, args_list, kwargs_list): add_chunk_bands_tasks = [] for args, kwargs in zip(args_list, kwargs_list): add_chunk_bands_tasks.append( self._meta_store.add_chunk_bands.delay(*args, **kwargs)) return await self._meta_store.add_chunk_bands.batch(*add_chunk_bands_tasks)
class MockMetaAPI(MetaAPI): @classmethod async def create(cls, session_id: str, address: str) -> "MetaAPI": # create an Actor for mock try: meta_store_manager_ref = await mo.create_actor( MetaStoreManagerActor, 'dict', dict(), address=address, uid=MetaStoreManagerActor.default_uid()) except mo.ActorAlreadyExist: # ignore if actor exists meta_store_manager_ref = await mo.actor_ref( MetaStoreManagerActor, address=address, uid=MetaStoreManagerActor.default_uid()) try: await meta_store_manager_ref.new_session_meta_store(session_id) except mo.ActorAlreadyExist: pass return await super().create(session_id=session_id, address=address)