This is a sample protobuf (proto3) file for a gRPC server that provides two methods for retrieving and searching video data.
The Body service contains the following RPC methods:
GetVideosX: Retrieves a list of videos that match a given filter.SearchVideosX: Searches for videos that match a given filter.
Both methods take a VideoListXRequest object as input and return a VideoListXReply object as output.
Additionally, the Body service contains the GetHeadersX method, which retrieves header information for a given video. This method takes a VideoHeaderXRequest object as input and returns a VideoHeaderXReply object as output.
The VideoListXRequest and VideoHeaderXRequest messages both contain a single field, filter, which is used to filter the results of the corresponding method.
The VideoListXReply message contains a repeated field, VideoListX, which is a list of VideoListXModel objects. Each VideoListXModel object represents a single video and contains the following fields:
ID: An integer ID for the video.Name: The name of the video.Description: A brief description of the video.Picture: A URL pointing to an image of the video.Category: The category of the video.Views: The number of views the video has received.Year: The year the video was released.Director: The name of the video's director.Cast: A comma-separated list of actors in the video.
The VideoHeaderXReply message contains a repeated field, VideoHeaderX, which is a list of VideoHeaderXModel objects. Each VideoHeaderXModel object represents a header for a single video and contains the following fields:
ID: An integer ID for the header.ID_VIDEO: An integer ID for the corresponding video.Name: The name of the video.Description: A brief description of the video.Picture: A URL pointing to an image of the video.
The VideoModel.py is a Python script that stores data of gRPC.
To use this proto file, you will need to generate client and server code using a protobuf compiler. Once you have generated the code, you can use the Body service to retrieve and search for video data.
To run this project, you need to install gRPC and its dependencies. You can install them using pip:
pip install grpcio
pip install grpcio-tools
pip install protobuf
This project includes a buildProto.bat file in Project folder that generates Python code from the Protocol Buffer definition file (ServerBody.proto). You can run it to generate the necessary files:
buildProto.bat
This will generate the greeter_pb2.py and greeter_pb2_grpc.py files.
To run the gRPC server, use the greeter_server.py script:
python greeter_server.py
This will start the server on port 50051.
To run the gRPC client, use the greeter_client.py script:
python greeter_client.py
This will send a request to the server and print the response.
This is (https://github.com/amirhusseinSSoori/Grpc_Redux_Movies_Compose) an Android sample application that demonstrates the use of gRPC and Redux architecture with Jetpack Compose to display a list of movies and their details.