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				synced 2025-11-04 03:39:37 -05:00 
			
		
		
		
	* improved typing * improved export typing * strict mypy & check export folder * formatting * add formatting checks for export folder * re-added init call
		
			
				
	
	
		
			100 lines
		
	
	
		
			3.2 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			100 lines
		
	
	
		
			3.2 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
from typing import Any
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from aiocache.backends.memory import SimpleMemoryCache
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from aiocache.lock import OptimisticLock
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from aiocache.plugins import BasePlugin, TimingPlugin
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from app.models import from_model_type
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from ..schemas import ModelType, has_profiling
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from .base import InferenceModel
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class ModelCache:
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    """Fetches a model from an in-memory cache, instantiating it if it's missing."""
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    def __init__(
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        self,
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        ttl: float | None = None,
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        revalidate: bool = False,
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        timeout: int | None = None,
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        profiling: bool = False,
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    ) -> None:
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        """
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        Args:
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            ttl: Unloads model after this duration. Disabled if None. Defaults to None.
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            revalidate: Resets TTL on cache hit. Useful to keep models in memory while active. Defaults to False.
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            timeout: Maximum allowed time for model to load. Disabled if None. Defaults to None.
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            profiling: Collects metrics for cache operations, adding slight overhead. Defaults to False.
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        """
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        self.ttl = ttl
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        plugins = []
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        if revalidate:
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            plugins.append(RevalidationPlugin())
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        if profiling:
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            plugins.append(TimingPlugin())
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        self.cache = SimpleMemoryCache(ttl=ttl, timeout=timeout, plugins=plugins, namespace=None)
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    async def get(self, model_name: str, model_type: ModelType, **model_kwargs: Any) -> InferenceModel:
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        """
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        Args:
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            model_name: Name of model in the model hub used for the task.
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            model_type: Model type or task, which determines which model zoo is used.
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        Returns:
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            model: The requested model.
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        """
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        key = f"{model_name}{model_type.value}{model_kwargs.get('mode', '')}"
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        async with OptimisticLock(self.cache, key) as lock:
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            model: InferenceModel | None = await self.cache.get(key)
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            if model is None:
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                model = from_model_type(model_type, model_name, **model_kwargs)
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                await lock.cas(model, ttl=self.ttl)
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        return model
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    async def get_profiling(self) -> dict[str, float] | None:
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        if not has_profiling(self.cache):
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            return None
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        return self.cache.profiling
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class RevalidationPlugin(BasePlugin):  # type: ignore[misc]
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    """Revalidates cache item's TTL after cache hit."""
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    async def post_get(
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        self,
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        client: SimpleMemoryCache,
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        key: str,
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        ret: Any | None = None,
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        namespace: str | None = None,
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        **kwargs: Any,
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    ) -> None:
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        if ret is None:
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            return
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        if namespace is not None:
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            key = client.build_key(key, namespace)
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        if key in client._handlers:
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            await client.expire(key, client.ttl)
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    async def post_multi_get(
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        self,
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        client: SimpleMemoryCache,
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        keys: list[str],
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        ret: list[Any] | None = None,
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        namespace: str | None = None,
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        **kwargs: Any,
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    ) -> None:
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        if ret is None:
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            return
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        for key, val in zip(keys, ret):
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            if namespace is not None:
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                key = client.build_key(key, namespace)
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            if val is not None and key in client._handlers:
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                await client.expire(key, client.ttl)
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