chore: Refactor SDK to split into separate servers (#105)

Signed-off-by: Sidhant Kohli <sidhant_kohli@intuit.com>

Author: kohlisid

.codecov.yml

@@ -11,7 +11,10 @@ coverage:
 
 ignore:
   - "examples/"
-  - "pynumaflow/function/proto/*"
-  - "pynumaflow/sink/proto/*"
-  - "pynumaflow/function/_udfunction_pb2.pyi"
+  - "pynumaflow/mapper/proto/*"
+  - "pynumaflow/sinker/proto/*"
+  - "pynumaflow/mapstreamer/proto/*"
+  - "pynumaflow/reducer/proto/*"
+  - "pynumaflow/sourcetransformer/proto/*"
+  - "pynumaflow/map/_udfunction_pb2.pyi"
   - "pynumaflow/sink/_udsink_pb2.pyi"

Makefile

@@ -29,4 +29,9 @@ setup:
 proto:
 	python3 -m grpc_tools.protoc -I=pynumaflow/function/proto --python_out=pynumaflow/function/proto --grpc_python_out=pynumaflow/function/proto  pynumaflow/function/proto/*.proto
 	python3 -m grpc_tools.protoc -I=pynumaflow/sink/proto --python_out=pynumaflow/sink/proto --grpc_python_out=pynumaflow/sink/proto  pynumaflow/sink/proto/*.proto
+	python3 -m grpc_tools.protoc -I=pynumaflow/map/proto --python_out=pynumaflow/map/proto --grpc_python_out=pynumaflow/map/proto  pynumaflow/map/proto/*.proto
+	python3 -m grpc_tools.protoc -I=pynumaflow/mapstream/proto --python_out=pynumaflow/mapstream/proto --grpc_python_out=pynumaflow/mapstream/proto  pynumaflow/mapstream/proto/*.proto
+	python3 -m grpc_tools.protoc -I=pynumaflow/reduce/proto --python_out=pynumaflow/reduce/proto --grpc_python_out=pynumaflow/reduce/proto  pynumaflow/reduce/proto/*.proto
+	python3 -m grpc_tools.protoc -I=pynumaflow/sourcetransform/proto --python_out=pynumaflow/sourcetransform/proto --grpc_python_out=pynumaflow/sourcetransform/proto  pynumaflow/sourcetransform/proto/*.proto
+
 	sed -i '' 's/^\(import.*_pb2\)/from . \1/' pynumaflow/*/proto/*.py

README.md

@@ -46,7 +46,7 @@ pre-commit install
 ### Map
 
 ```python
-from pynumaflow.function import Messages, Message, Datum, Server
+from pynumaflow.mapper import Messages, Message, Datum, Mapper
 
 
 def my_handler(keys: list[str], datum: Datum) -> Messages:
@@ -57,28 +57,28 @@ def my_handler(keys: list[str], datum: Datum) -> Messages:
 
 
 if __name__ == "__main__":
-    grpc_server = Server(map_handler=my_handler)
+    grpc_server = Mapper(handler=my_handler)
     grpc_server.start()
 ```
-### MapT - Map with event time assignment capability
-In addition to the regular Map function, MapT supports assigning a new event time to the message.
-MapT is only supported at source vertex to enable (a) early data filtering and (b) watermark assignment by extracting new event time from the message payload.
+### SourceTransformer - Map with event time assignment capability
+In addition to the regular Map function, SourceTransformer supports assigning a new event time to the message.
+SourceTransformer is only supported at source vertex to enable (a) early data filtering and (b) watermark assignment by extracting new event time from the message payload.
 
 ```python
 from datetime import datetime
-from pynumaflow.function import MessageTs, MessageT, Datum, Server
+from pynumaflow.sourcetransformer import Messages, Message, Datum, SourceTransformer
 
 
-def mapt_handler(keys: list[str], datum: Datum) -> MessageTs:
+def transform_handler(keys: list[str], datum: Datum) -> Messages:
     val = datum.value
     new_event_time = datetime.now()
     _ = datum.watermark
-    message_t_s = MessageTs(MessageT(val, event_time=new_event_time, keys=keys))
+    message_t_s = Messages(Message(val, event_time=new_event_time, keys=keys))
     return message_t_s
 
 
 if __name__ == "__main__":
-    grpc_server = Server(mapt_handler=mapt_handler)
+    grpc_server = SourceTransformer(handler=transform_handler)
     grpc_server.start()
 ```
 
@@ -87,11 +87,11 @@ if __name__ == "__main__":
 ```python
 import aiorun
 from typing import Iterator, List
-from pynumaflow.function import Messages, Message, Datum, Metadata, AsyncServer
+from pynumaflow.reducer import Messages, Message, Datum, Metadata, AsyncReducer
 
 
 async def my_handler(
-    keys: List[str], datums: Iterator[Datum], md: Metadata
+        keys: List[str], datums: Iterator[Datum], md: Metadata
 ) -> Messages:
     interval_window = md.interval_window
     counter = 0
@@ -105,19 +105,19 @@ async def my_handler(
 
 
 if __name__ == "__main__":
-    grpc_server = AsyncServer(reduce_handler=my_handler)
+    grpc_server = AsyncReducer(handler=my_handler)
     aiorun.run(grpc_server.start())
 ```
 
 ### Sample Image
-A sample UDF [Dockerfile](examples/function/forward_message/Dockerfile) is provided
-under [examples](examples/function/forward_message).
+A sample UDF [Dockerfile](examples/map/forward_message/Dockerfile) is provided
+under [examples](examples/map/forward_message).
 
 ## Implement a User Defined Sink (UDSink)
 
 ```python
 from typing import Iterator
-from pynumaflow.sink import Datum, Responses, Response, Sink
+from pynumaflow.sinker import Datum, Responses, Response, Sinker
 
 
 def my_handler(datums: Iterator[Datum]) -> Responses:
@@ -129,26 +129,11 @@ def my_handler(datums: Iterator[Datum]) -> Responses:
 
 
 if __name__ == "__main__":
-    grpc_server = Sink(my_handler)
+    grpc_server = Sinker(my_handler)
     grpc_server.start()
 ```
 
 ### Sample Image
 
 A sample UDSink [Dockerfile](examples/sink/log/Dockerfile) is provided
-under [examples](examples/sink/log).
-
-### Datum Metadata
-The Datum object contains the message payload and metadata. Currently, there are two fields
-in metadata: the message ID, the message delivery count to indicate how many times the message
-has been delivered. You can use these metadata to implement customized logic. For example,
-```python
-...
-
-
-def my_handler(keys: list[str], datum: Datum) -> Messages:
-    num_delivered = datum.metadata.num_delivered
-    # Choose to do specific actions, if the message delivery count reaches a certain threshold.
-    if num_delivered > 3:
-        ...
-```
+under [examples](examples/sink/log).

examples/developer_guide/example.py

@@ -1,25 +1,15 @@
 import aiorun
 from collections.abc import Iterator
 
-from pynumaflow.function import (
+from pynumaflow.reducer import (
     Messages,
     Message,
     Datum,
     Metadata,
-    AsyncServer,
+    AsyncReducer,
 )
 
 
-async def map_handler(keys: list[str], datum: Datum) -> Messages:
-    # forward a message
-    val = datum.value
-    _ = datum.event_time
-    _ = datum.watermark
-    messages = Messages()
-    messages.append(Message.to_vtx(keys, val))
-    return messages
-
-
 async def my_handler(keys: list[str], datums: Iterator[Datum], md: Metadata) -> Messages:
     # count the number of events
     interval_window = md.interval_window
@@ -31,9 +21,9 @@ async def my_handler(keys: list[str], datums: Iterator[Datum], md: Metadata) ->
         f"counter:{counter} interval_window_start:{interval_window.start} "
         f"interval_window_end:{interval_window.end}"
     )
-    return Messages(Message.to_vtx(keys, str.encode(msg)))
+    return Messages(Message(keys=keys, value=str.encode(msg)))
 
 
 if __name__ == "__main__":
-    grpc_server = AsyncServer(map_handler=map_handler, reduce_handler=my_handler)
+    grpc_server = AsyncReducer(handler=my_handler)
     aiorun.run(grpc_server.start())