Python API

This section includes the API documentation from the jina codebase, as extracted from the docstrings in the code.

For further details, please refer to the full user guide.

jina.orchestrate.deployments - Deployment

__init__.Deployment

A Deployment is an immutable set of pods, which run in replicas.

jina.orchestrate.flow - Flow

base.Flow	Flow is how Jina streamlines and distributes Executors.
asyncio.AsyncFlow	Asynchronous version of jina.Flow.

jina.serve.executors - Executor

BaseExecutor	The base class of all Executors, can be used to build encoder, indexer, etc.
decorators.requests	@requests defines the endpoints of an Executor.
decorators.monitor	Decorator and context manager that allows monitoring of an Executor.

jina.clients - Clients

Client	Convenience function that returns client instance for given protocol.
grpc.GRPCClient	A client connecting to a Gateway using gRPC protocol.
grpc.AsyncGRPCClient	Asynchronous client connecting to a Gateway using gRPC protocol.
http.HTTPClient	A client connecting to a Gateway using gRPC protocol.
http.AsyncHTTPClient	Asynchronous client connecting to a Gateway using HTTP protocol.
websocket.WebSocketClient	A client connecting to a Gateway using WebSocket protocol.
websocket.AsyncWebSocketClient	Asynchronous client connecting to a Gateway using WebSocket protocol.

jina.types.request - Networking messages

Request	Request is one of the primitive data types in Jina, and serves as a base for DataRequest and Response.
data.DataRequest	Represents a DataRequest used for exchanging docarray.DocumentArray with and within a Flow.
data.Response	Response is the Request object returned by the flow.
status.StatusMessage	Represents a Status message used for health check of the Flow

jina.serve.runtimes - Flow internals

asyncio.AsyncNewLoopRuntime

Runtime to make sure that a server can asynchronously run inside a new asynchronous loop.