[WIP] Add lazyobject and lazy_get api.

python/vineyard/core/client.py

@@ -21,6 +21,8 @@
 import warnings
 from concurrent.futures import ThreadPoolExecutor
 from concurrent.futures import as_completed
+from concurrent.futures import Future
+import threading
 from typing import Any
 from typing import Dict
 from typing import List
@@ -43,9 +45,94 @@
 from vineyard._C import _connect
 from vineyard.core.builder import BuilderContext
 from vineyard.core.builder import put
+from vineyard.core.resolver import get_current_resolvers
 from vineyard.core.resolver import ResolverContext
 from vineyard.core.resolver import get
 
+class LazyObject:
+    """A helper class for lazy fetching of vineyard objects."""
+
+    def __init__(self, client, object_id: Optional[ObjectID] = None, name: Optional[str] = None, resolver: Optional[BuilderContext] = None, fetch: bool = False, **kwargs):
+        """
+        Initialize the LazyObject.
+
+        Args:
+            client (Client): The Vineyard client.
+            object_id (Optional[ObjectID]): The object id to fetch.
+            name (Optional[str]): The name of the object to fetch.
+            resolver (Optional[BuilderContext]): The resolver to use for fetching the object.
+            fetch (bool): Whether to fetch the object immediately.
+        """
+        self.client = client
+        self.object_id = object_id
+        self.name = name
+        self.resolver = resolver
+        self.kwargs = kwargs
+        self._result: Optional[Any] = None
+        self._exception: Optional[Exception] = None
+        self._ready_event = threading.Event()
+
+        # Mark the future as not started yet
+        self.future: Optional[Future] = None
+
+        # Start the asynchronous fetch
+        self._start_fetch()
+
+    def _start_fetch(self):
+        """Start the asynchronous fetch operation."""
+        if self.future is None:
+            self.future = self.client._lazy_get_thread_pool.submit(self._fetch)
+            self.future.add_done_callback(self._callback)
+
+    def _fetch(self) -> None:
+        """Internal method to fetch the object."""
+        obj = self.client.get(object_id=self.object_id, name=self.name, resolver=self.resolver, fetch=self.fetch, **self.kwargs)
+        self._result = obj
+
+    def _callback(self, fut: Future):
+        """Callback executed when the future completes."""
+        try:
+            fut.result()  # This will raise if the fetch failed
+        except Exception as e:
+            self._exception = e
+        finally:
+            self._ready_event.set()
+
+    def get(self) -> Any:
+        """
+        Retrieve the object. If the object is not ready, raise an exception.
+
+        Returns:
+            Any: The fetched object.
+
+        Raises:
+            Exception: If an error occurred during fetching.
+        """
+        if self.future is None:
+            raise RuntimeError("Fetch operation was not started.")
+
+        if self.future.done():
+            if self._exception:
+                raise self._exception
+            return self._result
+        else:
+            self.cancel()
+            raise Exception("Data not ready, fetch operation has been canceled.")
+
+    def is_ready(self) -> bool:
+        """
+        Check if the tensor has been fetched.
+
+        Returns:
+            bool: True if the tensor has been fetched, False otherwise.
+        """
+        return self._ready_event.is_set()
+
+    def cancel(self):
+        """Cancel the fetch operation"""
+        if self.future and not self.future.done():
+            self.future.cancel()
+
 
 def _apply_docstring(func):
     def _apply(fn):
@@ -168,6 +255,7 @@ def __init__(
         session: int = None,
         username: str = None,
         password: str = None,
+        max_workers: int = 8,
         config: str = None,
     ):
         """Connects to the vineyard IPC socket and RPC socket.
@@ -211,6 +299,8 @@ def __init__(
                       is enabled.
             password: Optional, the required password of vineyardd when authentication
                       is enabled.
+            max_workers: Optional, the maximum number of threads that can be used to
+                        asynchronously get/put objects from/to vineyard. Default is 8.
             config: Optional, can either be a path to a YAML configuration file or
                     a path to a directory containing the default config file
                     `vineyard-config.yaml`. Also, the environment variable
@@ -292,6 +382,12 @@ def __init__(
 
         self._spread = False
         self._compression = True
+
+        # Initialize thread pool for lazy_get
+        self._lazy_get_thread_pool = ThreadPoolExecutor(max_workers=max_workers)
+        self._lazy_get_futures: Dict[Optional[ObjectID, str], Any] = {}
+        self._lazy_get_lock = threading.Lock()
+
         if self._ipc_client is None and self._rpc_client is None:
             raise ConnectionError(
                 "Failed to connect to vineyard via both IPC and RPC connection. "
@@ -874,5 +970,36 @@ def with_spread(self, enabled: bool = True):
         yield
         self.spread = tmp_spread
 
+    def lazy_get(self, object_id: Optional[ObjectID] = None, name: Optional[str] = None, resolver: Optional[BuilderContext] = None, fetch: bool = False, **kwargs) -> LazyObject:
+        """Asynchronously fetch an object corresponding to the given object name.
+
+        Args:
+            object_id (Optional[ObjectID]): The object id to fetch.
+            name (Optional[str]): The name of the object to fetch.
+            resolver (Optional[BuilderContext]): The resolver to use for fetching the object.
+            fetch (bool): Whether to fetch the object immediately.
+
+        Returns:
+            LazyObject: An object that represents the future result of the fetch operation.
+        """
+        with self._lazy_get_lock:
+            if object_id is not None and object_id in self._lazy_get_futures:
+                return self._lazy_get_futures[object_id]
+            if name is not None and name in self._lazy_get_futures:
+                return self._lazy_get_futures[name]
+
+            resolver = resolver or get_current_resolvers()
+            lazy_object = LazyObject(self, object_id,, resolver, **kwargs)
+            self._lazy_get_futures[name] = lazy_object
+
+            def _cleanup(fut):
+                with self._lazy_get_lock:
+                    self._lazy_get_futures.pop(name, None)
+
+            # Attach cleanup logic once the tensor is fetched or fails
+            if lazy_object.future:
+                lazy_object.future.add_done_callback(_cleanup)
+
+            return lazy_object
 
 __all__ = ['Client']

python/vineyard/core/tests/test_lazy_get.py

@@ -0,0 +1,48 @@
+import vineyard
+import torch
+from vineyard.contrib.ml.torch import torch_context
+
+client = vineyard.connect('/var/run/vineyard.sock1')
+
+#create a random tensor
+#x = torch.rand(100, 100, 100)
+#client.delete(name="test_lazy_tensor")
+#with torch_context(client):
+#    client.put(x, name="test_lazy_tensor", persist=True)
+
+test_kwargs = {'test': 'test'}
+with torch_context(client):
+    lazy_tensor = client.lazy_get(name="test_lazy_tensor111", **test_kwargs)
+"""
+try:
+    for i in range(8):
+        name = "test_lazy_tensor" + str(i)
+        print("Creating tensor", name)
+        lazy_tensor = client.lazy_get("test_lazy_tensor")
+except Exception as e:
+    print(e)
+"""
+
+# At a later point, attempt to access the tensor
+
+try:
+    if lazy_tensor.is_ready():
+        print("Tensor is ready")
+        #try:
+        #    tensor = lazy_tensor.get()
+        #    print(tensor)
+        #except RuntimeError as e:
+        #    pass
+    else:
+        print("Tensor is not ready")
+        #import time
+        #time.sleep(5)
+        # print("Waiting for 5 seconds")
+        #if lazy_tensor.is_ready():
+        #    print("Tensor is ready")
+        #    tensor = lazy_tensor.get()
+        #    print(tensor)
+except Exception as e:
+    print(e)
+
+print("Done")