feat(gRPC): client implementation

grpc-client/python/client.py

@@ -1,32 +1,46 @@
+from __future__ import annotations
+
 import asyncio
+import logging
+
+import numpy as np
 
-import grpc
+import bentoml
 
-from bentoml.grpc.utils import import_generated_stubs
 
-pb, services = import_generated_stubs()
+async def async_run(client: bentoml.client.Client):
 
+    res = await client.async_classify(np.array([[5.9, 3, 5.1, 1.8]]))
+    logger.info("Result from 'client.async_classify':\n%s", res)
+    res = await client.async_call("classify", np.array([[5.9, 3, 5.1, 1.8]]))
+    logger.info("Result from 'client.async_call':\n%s", res)
 
-async def run():
-    async with grpc.aio.insecure_channel("localhost:3000") as channel:
-        stub = services.BentoServiceStub(channel)
-        req = await stub.Call(
-            request=pb.Request(
-                api_name="classify",
-                ndarray=pb.NDArray(
-                    dtype=pb.NDArray.DTYPE_FLOAT,
-                    shape=(1, 4),
-                    float_values=[5.9, 3, 5.1, 1.8],
-                ),
-            )
-        )
-    print(req)
+
+def run(client: bentoml.client.Client):
+    res = client.classify(np.array([[5.9, 3, 5.1, 1.8]]))
+    logger.info("Result from 'client.classify':\n%s", res)
+    res = client.call("classify", np.array([[5.9, 3, 5.1, 1.8]]))
+    logger.info("Result from 'client.call(bentoml_api_name='classify')':\n%s", res)
 
 
 if __name__ == "__main__":
-    loop = asyncio.new_event_loop()
-    try:
-        loop.run_until_complete(run())
-    finally:
-        loop.close()
-        assert loop.is_closed()
+    import argparse
+
+    logger = logging.getLogger(__name__)
+
+    ch = logging.StreamHandler()
+    formatter = logging.Formatter("%(message)s")
+    ch.setFormatter(formatter)
+    logger.addHandler(ch)
+    logger.setLevel(logging.DEBUG)
+
+    parser = argparse.ArgumentParser()
+    parser.add_argument("-s", "--sync", action="store_true", default=False)
+    args = parser.parse_args()
+
+    c = bentoml.client.Client.from_url("localhost:3000")
+
+    if args.sync:
+        run(c)
+    else:
+        asyncio.run(async_run(c))

src/bentoml/_internal/client/__init__.py

@@ -0,0 +1,136 @@
+from __future__ import annotations
+
+import typing as t
+import asyncio
+import logging
+import functools
+from abc import ABC
+from abc import abstractmethod
+from typing import TYPE_CHECKING
+from http.client import BadStatusLine
+from urllib.parse import urlparse
+
+from ...exceptions import BentoMLException
+from ..service.inference_api import InferenceAPI
+
+logger = logging.getLogger(__name__)
+
+if TYPE_CHECKING:
+    from .grpc import GrpcClient
+    from .http import HTTPClient
+    from ..service import Service
+
+
+class Client(ABC):
+    server_url: str
+    _svc: Service
+
+    def __init__(self, svc: Service, server_url: str):
+        self._svc = svc
+        self.server_url = server_url
+
+        if svc is not None and len(svc.apis) == 0:
+            raise BentoMLException("No APIs were found when constructing client.")
+
+        for name, api in self._svc.apis.items():
+            if not hasattr(self, name):
+                setattr(
+                    self, name, functools.partial(self._sync_call, _bentoml_api=api)
+                )
+
+            if not hasattr(self, f"async_{name}"):
+                setattr(
+                    self,
+                    f"async_{name}",
+                    functools.partial(self._call, _bentoml_api=api),
+                )
+
+    def call(self, bentoml_api_name: str, inp: t.Any = None, **kwargs: t.Any) -> t.Any:
+        return self._sync_call(
+            inp, _bentoml_api=self._svc.apis[bentoml_api_name], **kwargs
+        )
+
+    async def async_call(
+        self, bentoml_api_name: str, inp: t.Any = None, **kwargs: t.Any
+    ) -> t.Any:
+        return await self._call(
+            inp, _bentoml_api=self._svc.apis[bentoml_api_name], **kwargs
+        )
+
+    @abstractmethod
+    def wait_until_server_ready(
+        self,
+        *,
+        server_url: str | None = None,
+        timeout: int = 30,
+        **kwargs: t.Any,
+    ) -> None:
+        raise NotImplementedError
+
+    @t.overload
+    @classmethod
+    @abstractmethod
+    def from_url(
+        cls, server_url: str, *, kind: None | t.Literal["auto"] = ...
+    ) -> GrpcClient | HTTPClient:
+        ...
+
+    @t.overload
+    @classmethod
+    @abstractmethod
+    def from_url(cls, server_url: str, *, kind: t.Literal["http"] = ...) -> HTTPClient:
+        ...
+
+    @t.overload
+    @classmethod
+    @abstractmethod
+    def from_url(cls, server_url: str, *, kind: t.Literal["grpc"] = ...) -> GrpcClient:
+        ...
+
+    @classmethod
+    @abstractmethod
+    def from_url(
+        cls, server_url: str, *, kind: str | None = None, **kwargs: t.Any
+    ) -> Client:
+        url_parsed = urlparse(server_url)
+        if url_parsed.scheme == "http":
+            kind = "http"
+        elif url_parsed.scheme == "grpc":
+            kind = "grpc"
+
+        if kind is None or kind == "auto":
+            try:
+                from .http import HTTPClient
+
+                return HTTPClient.from_url(server_url, **kwargs)
+            except BadStatusLine:
+                from .grpc import GrpcClient
+
+                return GrpcClient.from_url(server_url, **kwargs)
+            except Exception as e:  # pylint: disable=broad-except
+                raise BentoMLException(
+                    f"Failed to create a BentoML client from given URL '{server_url}': {e} ({e.__class__.__name__})"
+                ) from e
+        elif kind == "http":
+            from .http import HTTPClient
+
+            return HTTPClient.from_url(server_url, **kwargs)
+        elif kind == "grpc":
+            from .grpc import GrpcClient
+
+            return GrpcClient.from_url(server_url, **kwargs)
+        else:
+            raise BentoMLException(
+                "Invalid client kind. Must be one of ['http', 'grpc', 'auto']"
+            )
+
+    def _sync_call(
+        self, inp: t.Any = None, *, _bentoml_api: InferenceAPI, **kwargs: t.Any
+    ):
+        return asyncio.run(self._call(inp, _bentoml_api=_bentoml_api, **kwargs))
+
+    @abstractmethod
+    async def _call(
+        self, inp: t.Any = None, *, _bentoml_api: InferenceAPI, **kwargs: t.Any
+    ) -> t.Any:
+        raise NotImplementedError