Rewritten in go and python

recommender/proto/recommender_pb2.py

@@ -0,0 +1,47 @@
+# -*- coding: utf-8 -*-
+# Generated by the protocol buffer compiler.  DO NOT EDIT!
+# NO CHECKED-IN PROTOBUF GENCODE
+# source: recommender.proto
+# Protobuf Python Version: 5.27.2
+"""Generated protocol buffer code."""
+from google.protobuf import descriptor as _descriptor
+from google.protobuf import descriptor_pool as _descriptor_pool
+from google.protobuf import runtime_version as _runtime_version
+from google.protobuf import symbol_database as _symbol_database
+from google.protobuf.internal import builder as _builder
+_runtime_version.ValidateProtobufRuntimeVersion(
+    _runtime_version.Domain.PUBLIC,
+    5,
+    27,
+    2,
+    '',
+    'recommender.proto'
+)
+# @@protoc_insertion_point(imports)
+
+_sym_db = _symbol_database.Default()
+
+
+
+
+DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(b'\n\x11recommender.proto\x12\x0brecommender\"\xf8\x01\n\x06\x46ilter\x12\x13\n\tmin_votes\x18\x01 \x01(\rH\x00\x12\x13\n\tmax_votes\x18\x02 \x01(\rH\x01\x12\x12\n\x08min_year\x18\x03 \x01(\rH\x02\x12\x12\n\x08max_year\x18\x04 \x01(\rH\x03\x12\x14\n\nmin_rating\x18\x05 \x01(\x02H\x04\x12\x14\n\nmax_rating\x18\x06 \x01(\x02H\x05\x42\x11\n\x0fmin_votes_oneofB\x11\n\x0fmax_votes_oneofB\x10\n\x0emin_year_oneofB\x10\n\x0emax_year_oneofB\x12\n\x10min_rating_oneofB\x12\n\x10max_rating_oneof\"G\n\x06Weight\x12\x0c\n\x04year\x18\x01 \x01(\r\x12\x0e\n\x06rating\x18\x02 \x01(\r\x12\x0e\n\x06genres\x18\x03 \x01(\r\x12\x0f\n\x07nconsts\x18\x04 \x01(\r\"o\n\x07Request\x12\x0f\n\x07tconsts\x18\x01 \x03(\t\x12\t\n\x01n\x18\x02 \x01(\r\x12#\n\x06\x66ilter\x18\x03 \x01(\x0b\x32\x13.recommender.Filter\x12#\n\x06weight\x18\x04 \x01(\x0b\x32\x13.recommender.Weight\"9\n\x08Response\x12-\n\x06movies\x18\x01 \x03(\x0b\x32\x1d.recommender.RecommendedMovie\"3\n\x10RecommendedMovie\x12\x0e\n\x06tconst\x18\x01 \x01(\t\x12\x0f\n\x07weights\x18\x02 \x03(\t2R\n\x0bRecommender\x12\x43\n\x12GetRecommendations\x12\x14.recommender.Request\x1a\x15.recommender.Response\"\x00\x42,Z*github.com/aykhans/movier/server/pkg/protob\x06proto3')
+
+_globals = globals()
+_builder.BuildMessageAndEnumDescriptors(DESCRIPTOR, _globals)
+_builder.BuildTopDescriptorsAndMessages(DESCRIPTOR, 'recommender_pb2', _globals)
+if not _descriptor._USE_C_DESCRIPTORS:
+  _globals['DESCRIPTOR']._loaded_options = None
+  _globals['DESCRIPTOR']._serialized_options = b'Z*github.com/aykhans/movier/server/pkg/proto'
+  _globals['_FILTER']._serialized_start=35
+  _globals['_FILTER']._serialized_end=283
+  _globals['_WEIGHT']._serialized_start=285
+  _globals['_WEIGHT']._serialized_end=356
+  _globals['_REQUEST']._serialized_start=358
+  _globals['_REQUEST']._serialized_end=469
+  _globals['_RESPONSE']._serialized_start=471
+  _globals['_RESPONSE']._serialized_end=528
+  _globals['_RECOMMENDEDMOVIE']._serialized_start=530
+  _globals['_RECOMMENDEDMOVIE']._serialized_end=581
+  _globals['_RECOMMENDER']._serialized_start=583
+  _globals['_RECOMMENDER']._serialized_end=665
+# @@protoc_insertion_point(module_scope)

recommender/proto/recommender_pb2.pyi

@@ -0,0 +1,60 @@
+from google.protobuf.internal import containers as _containers
+from google.protobuf import descriptor as _descriptor
+from google.protobuf import message as _message
+from typing import ClassVar as _ClassVar, Iterable as _Iterable, Mapping as _Mapping, Optional as _Optional, Union as _Union
+
+DESCRIPTOR: _descriptor.FileDescriptor
+
+class Filter(_message.Message):
+    __slots__ = ("min_votes", "max_votes", "min_year", "max_year", "min_rating", "max_rating")
+    MIN_VOTES_FIELD_NUMBER: _ClassVar[int]
+    MAX_VOTES_FIELD_NUMBER: _ClassVar[int]
+    MIN_YEAR_FIELD_NUMBER: _ClassVar[int]
+    MAX_YEAR_FIELD_NUMBER: _ClassVar[int]
+    MIN_RATING_FIELD_NUMBER: _ClassVar[int]
+    MAX_RATING_FIELD_NUMBER: _ClassVar[int]
+    min_votes: int
+    max_votes: int
+    min_year: int
+    max_year: int
+    min_rating: float
+    max_rating: float
+    def __init__(self, min_votes: _Optional[int] = ..., max_votes: _Optional[int] = ..., min_year: _Optional[int] = ..., max_year: _Optional[int] = ..., min_rating: _Optional[float] = ..., max_rating: _Optional[float] = ...) -> None: ...
+
+class Weight(_message.Message):
+    __slots__ = ("year", "rating", "genres", "nconsts")
+    YEAR_FIELD_NUMBER: _ClassVar[int]
+    RATING_FIELD_NUMBER: _ClassVar[int]
+    GENRES_FIELD_NUMBER: _ClassVar[int]
+    NCONSTS_FIELD_NUMBER: _ClassVar[int]
+    year: int
+    rating: int
+    genres: int
+    nconsts: int
+    def __init__(self, year: _Optional[int] = ..., rating: _Optional[int] = ..., genres: _Optional[int] = ..., nconsts: _Optional[int] = ...) -> None: ...
+
+class Request(_message.Message):
+    __slots__ = ("tconsts", "n", "filter", "weight")
+    TCONSTS_FIELD_NUMBER: _ClassVar[int]
+    N_FIELD_NUMBER: _ClassVar[int]
+    FILTER_FIELD_NUMBER: _ClassVar[int]
+    WEIGHT_FIELD_NUMBER: _ClassVar[int]
+    tconsts: _containers.RepeatedScalarFieldContainer[str]
+    n: int
+    filter: Filter
+    weight: Weight
+    def __init__(self, tconsts: _Optional[_Iterable[str]] = ..., n: _Optional[int] = ..., filter: _Optional[_Union[Filter, _Mapping]] = ..., weight: _Optional[_Union[Weight, _Mapping]] = ...) -> None: ...
+
+class Response(_message.Message):
+    __slots__ = ("movies",)
+    MOVIES_FIELD_NUMBER: _ClassVar[int]
+    movies: _containers.RepeatedCompositeFieldContainer[RecommendedMovie]
+    def __init__(self, movies: _Optional[_Iterable[_Union[RecommendedMovie, _Mapping]]] = ...) -> None: ...
+
+class RecommendedMovie(_message.Message):
+    __slots__ = ("tconst", "weights")
+    TCONST_FIELD_NUMBER: _ClassVar[int]
+    WEIGHTS_FIELD_NUMBER: _ClassVar[int]
+    tconst: str
+    weights: _containers.RepeatedScalarFieldContainer[str]
+    def __init__(self, tconst: _Optional[str] = ..., weights: _Optional[_Iterable[str]] = ...) -> None: ...

recommender/proto/recommender_pb2_grpc.py

@@ -0,0 +1,97 @@
+# Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
+"""Client and server classes corresponding to protobuf-defined services."""
+import grpc
+import warnings
+
+import recommender_pb2 as recommender__pb2
+
+GRPC_GENERATED_VERSION = '1.67.0'
+GRPC_VERSION = grpc.__version__
+_version_not_supported = False
+
+try:
+    from grpc._utilities import first_version_is_lower
+    _version_not_supported = first_version_is_lower(GRPC_VERSION, GRPC_GENERATED_VERSION)
+except ImportError:
+    _version_not_supported = True
+
+if _version_not_supported:
+    raise RuntimeError(
+        f'The grpc package installed is at version {GRPC_VERSION},'
+        + f' but the generated code in recommender_pb2_grpc.py depends on'
+        + f' grpcio>={GRPC_GENERATED_VERSION}.'
+        + f' Please upgrade your grpc module to grpcio>={GRPC_GENERATED_VERSION}'
+        + f' or downgrade your generated code using grpcio-tools<={GRPC_VERSION}.'
+    )
+
+
+class RecommenderStub(object):
+    """Missing associated documentation comment in .proto file."""
+
+    def __init__(self, channel):
+        """Constructor.
+
+        Args:
+            channel: A grpc.Channel.
+        """
+        self.GetRecommendations = channel.unary_unary(
+                '/recommender.Recommender/GetRecommendations',
+                request_serializer=recommender__pb2.Request.SerializeToString,
+                response_deserializer=recommender__pb2.Response.FromString,
+                _registered_method=True)
+
+
+class RecommenderServicer(object):
+    """Missing associated documentation comment in .proto file."""
+
+    def GetRecommendations(self, request, context):
+        """Missing associated documentation comment in .proto file."""
+        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
+        context.set_details('Method not implemented!')
+        raise NotImplementedError('Method not implemented!')
+
+
+def add_RecommenderServicer_to_server(servicer, server):
+    rpc_method_handlers = {
+            'GetRecommendations': grpc.unary_unary_rpc_method_handler(
+                    servicer.GetRecommendations,
+                    request_deserializer=recommender__pb2.Request.FromString,
+                    response_serializer=recommender__pb2.Response.SerializeToString,
+            ),
+    }
+    generic_handler = grpc.method_handlers_generic_handler(
+            'recommender.Recommender', rpc_method_handlers)
+    server.add_generic_rpc_handlers((generic_handler,))
+    server.add_registered_method_handlers('recommender.Recommender', rpc_method_handlers)
+
+
+ # This class is part of an EXPERIMENTAL API.
+class Recommender(object):
+    """Missing associated documentation comment in .proto file."""
+
+    @staticmethod
+    def GetRecommendations(request,
+            target,
+            options=(),
+            channel_credentials=None,
+            call_credentials=None,
+            insecure=False,
+            compression=None,
+            wait_for_ready=None,
+            timeout=None,
+            metadata=None):
+        return grpc.experimental.unary_unary(
+            request,
+            target,
+            '/recommender.Recommender/GetRecommendations',
+            recommender__pb2.Request.SerializeToString,
+            recommender__pb2.Response.FromString,
+            options,
+            channel_credentials,
+            insecure,
+            call_credentials,
+            compression,
+            wait_for_ready,
+            timeout,
+            metadata,
+            _registered_method=True)