feat: Rust SDK based implementation of - accumulator, batchmap, map, mapstream, reduce, session_reduce

.gitignore

@@ -1,3 +1,19 @@
+# Generated by Cargo
+# will have compiled files and executables
+debug/
+target/
+
+
+# Remove Cargo.lock from gitignore if creating an executable, leave it for libraries
+# More information here https://doc.rust-lang.org/cargo/guide/cargo-toml-vs-cargo-lock.html
+Cargo.lock
+
+# These are backup files generated by rustfmt
+**/*.rs.bk
+
+# Skip wheel
+**/pynumaflow_lite-*.whl
+
 # Byte-compiled / optimized / DLL files
 __pycache__/
 *.py[cod]

packages/pynumaflow-lite/Cargo.toml

@@ -0,0 +1,50 @@
+[package]
+name = "pynumaflow-lite"
+version = "0.1.0"
+edition = "2024"
+
+# See more keys and their definitions at https://doc.rust-lang.org/cargo/reference/manifest.html
+[lib]
+name = "pynumaflow_lite"
+crate-type = ["cdylib", "rlib"]
+
+[dependencies]
+numaflow = { git = "https://github.com/numaproj/numaflow-rs.git", branch = "export-accum-items" }
+pyo3 = { version = "0.26.0", features = ["chrono", "experimental-inspect"] }
+tokio = "1.47.1"
+tonic = "0.14.2"
+tokio-stream = "0.1.17"
+tower = "0.5.2"
+hyper-util = "0.1.16"
+prost-types = "0.14.1"
+chrono = "0.4.42"
+pyo3-async-runtimes = { version = "0.26.0", features = ["tokio-runtime"] }
+futures-core = "0.3.31"
+pin-project = "1.1.10"
+
+
+[[bin]]
+name = "test_map"
+path = "tests/bin/map.rs"
+
+[[bin]]
+name = "test_batchmap"
+path = "tests/bin/batchmap.rs"
+
+
+[[bin]]
+name = "test_mapstream"
+path = "tests/bin/mapstream.rs"
+
+
+[[bin]]
+name = "test_reduce"
+path = "tests/bin/reduce.rs"
+
+[[bin]]
+name = "test_session_reduce"
+path = "tests/bin/session_reduce.rs"
+
+[[bin]]
+name = "test_accumulator"
+path = "tests/bin/accumulator.rs"

packages/pynumaflow-lite/Makefile

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+.PHONY: help build develop stubgen clean test test-rust
+
+# Default Python package/module name
+MODULE ?= pynumaflow_lite
+
+# Optional args to pass through to cargo test, e.g., ARGS="--lib pyiterables::tests::py_async_iter_stream_yields_incrementally"
+ARGS ?=
+
+
+help:
+	@echo "Targets:"
+	@echo "  build        - cargo build the Rust library"
+	@echo "  develop      - maturin develop (install in current Python env)"
+	@echo "  test         - run end-to-end pytest (depends on develop)"
+		@echo "  test-rust    - cargo test with PYTHONHOME set; pass args via ARGS=\"...\""
+
+	@echo "  clean        - cargo clean"
+
+build:
+	cargo build
+
+# Installs the extension into the active Python environment.
+# You can then discover the installed .so path to run stubgen against it if preferred.
+develop:
+	maturin develop
+
+# Run pytest end-to-end tests. Assumes a working Python env with pytest installed.
+# Example: (cd pynumaflow-lite && make test)
+# Note: we do not install pytest here to avoid mutating global envs.
+test: develop
+	pytest -v
+
+
+# Run cargo tests with PYTHONHOME pointed at base_prefix so embedded CPython finds stdlib
+# Usage examples:
+#   make test-rust ARGS="--lib"
+#   make test-rust ARGS="--lib pyiterables::tests::py_async_iter_stream_yields_incrementally"
+test-rust:
+	@export PYTHONHOME="$(shell python -c 'import sys; print(sys.base_prefix)')" && \
+		cargo test $(ARGS)
+
+
+clean:
+	cargo clean

packages/pynumaflow-lite/README.md

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+## Development Setup
+
+```bash
+# new venv
+uv venv
+
+# activate venv
+source venv/bin/activate
+
+uv pip install maturin
+
+# install dependencies
+uv sync
+```
+
+### Testing
+
+```bash
+make test
+```
+
+### HOWTO create .whl
+
+Go to `pynumaflow-lite` (top level) directory and run the below command.
+
+```bash
+docker run --rm -v $(pwd):/io ghcr.io/pyo3/maturin build -i python3.11 --release 
+```
+
+This will create the `wheel` file in `target/wheels/` directory. You should copy it over to where we
+are writing the python code referencing this library.
+
+e.g.,
+
+```bash
+cp target/wheels/pynumaflow_lite-0.1.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl manifests/simple-async-map/
+```

packages/pynumaflow-lite/manifests/accumulator/Dockerfile

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+FROM python:3.11-slim-bullseye AS builder
+
+ENV PYTHONFAULTHANDLER=1 \
+  PYTHONUNBUFFERED=1 \
+  PYTHONHASHSEED=random \
+  PIP_NO_CACHE_DIR=on \
+  PIP_DISABLE_PIP_VERSION_CHECK=on \
+  PIP_DEFAULT_TIMEOUT=100 \
+  POETRY_HOME="/opt/poetry" \
+  POETRY_VIRTUALENVS_IN_PROJECT=true \
+  POETRY_NO_INTERACTION=1 \
+  PYSETUP_PATH="/opt/pysetup"
+
+ENV PATH="$POETRY_HOME/bin:$PATH"
+
+RUN apt-get update \
+    && apt-get install --no-install-recommends -y \
+        curl \
+        wget \
+        # deps for building python deps
+        build-essential \
+    && apt-get install -y git \
+    && apt-get clean && rm -rf /var/lib/apt/lists/* \
+    && curl -sSL https://install.python-poetry.org | python3 -
+
+FROM builder AS udf
+
+WORKDIR $PYSETUP_PATH
+COPY ./ ./
+
+# NOTE: place the built wheel in this directory before building the image
+RUN pip install $PYSETUP_PATH/pynumaflow_lite-0.1.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
+
+RUN poetry lock
+RUN poetry install --no-cache --no-root && \
+    rm -rf ~/.cache/pypoetry/
+
+CMD ["python", "accumulator_stream_sorter.py"]
+

packages/pynumaflow-lite/manifests/accumulator/README.md

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+To create the `wheel` file, refer [root](../../README.md)
+
+## HOWTO build Image
+
+```bash
+docker build . -t quay.io/numaio/numaflow/pynumaflow-lite-accumulator-stream-sorter:v1 --load
+```
+
+Load it now to `k3d`
+
+### `k3d`
+
+```bash
+k3d image import quay.io/numaio/numaflow/pynumaflow-lite-accumulator-stream-sorter:v1
+```
+
+### Minikube
+
+```bash
+minikube image load quay.io/numaio/numaflow/pynumaflow-lite-accumulator-stream-sorter:v1
+```
+
+#### Delete image from minikube
+
+`minikube` doesn't like pushing the same image over, delete and load if you are using
+the same tag.
+
+```bash
+minikube image rm quay.io/numaio/numaflow/pynumaflow-lite-accumulator-stream-sorter:v1
+```
+
+## Run the pipeline
+
+```bash
+kubectl apply -f pipeline.yaml
+```
+

packages/pynumaflow-lite/manifests/accumulator/accumulator_stream_sorter.py

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+"""
+Stream sorter accumulator example.
+
+This accumulator buffers incoming data and sorts it by event time,
+flushing sorted data when the watermark advances.
+"""
+import asyncio
+from datetime import datetime
+from typing import AsyncIterator
+
+from pynumaflow_lite.accumulator import Datum, Message, AccumulatorAsyncServer, Accumulator
+
+
+class StreamSorter(Accumulator):
+    """
+    A stream sorter that buffers and sorts data by event time,
+    flushing when watermark advances.
+    """
+
+    def __init__(self):
+        from datetime import timezone
+        # Initialize with a very old timestamp (timezone-aware)
+        self.latest_wm = datetime.fromtimestamp(-1, tz=timezone.utc)
+        self.sorted_buffer: list[Datum] = []
+        print("StreamSorter initialized")
+
+    async def handler(self, datums: AsyncIterator[Datum]) -> AsyncIterator[Message]:
+        """
+        Buffer and sort datums, yielding sorted messages when watermark advances.
+        """
+        print("Handler started, waiting for datums...")
+        datum_count = 0
+
+        async for datum in datums:
+            datum_count += 1
+            print(f"Received datum #{datum_count}: event_time={datum.event_time}, "
+                  f"watermark={datum.watermark}, value={datum.value}")
+
+            # If watermark has moved forward
+            if datum.watermark and datum.watermark > self.latest_wm:
+                old_wm = self.latest_wm
+                self.latest_wm = datum.watermark
+                print(f"Watermark advanced from {old_wm} to {self.latest_wm}")
+
+                # Flush buffer
+                flushed = 0
+                async for msg in self.flush_buffer():
+                    flushed += 1
+                    yield msg
+
+                if flushed > 0:
+                    print(f"Flushed {flushed} messages from buffer")
+
+            # Insert into sorted buffer
+            self.insert_sorted(datum)
+            print(f"Buffer size: {len(self.sorted_buffer)}")
+
+        print(f"Handler finished. Total datums processed: {datum_count}")
+        print(f"Remaining in buffer: {len(self.sorted_buffer)}")
+
+        # Flush any remaining items in the buffer at the end
+        if self.sorted_buffer:
+            print("Flushing remaining buffer at end...")
+            for datum in self.sorted_buffer:
+                print(f"  Flushing: event_time={datum.event_time}, value={datum.value}")
+                # Use Message.from_datum to preserve all metadata
+                yield Message.from_datum(datum)
+            self.sorted_buffer = []
+
+    def insert_sorted(self, datum: Datum):
+        """Binary insert to keep sorted buffer in order by event_time."""
+        left, right = 0, len(self.sorted_buffer)
+        while left < right:
+            mid = (left + right) // 2
+            if self.sorted_buffer[mid].event_time > datum.event_time:
+                right = mid
+            else:
+                left = mid + 1
+        self.sorted_buffer.insert(left, datum)
+
+    async def flush_buffer(self) -> AsyncIterator[Message]:
+        """Flush all items from buffer that are before or at the watermark."""
+        i = 0
+        for datum in self.sorted_buffer:
+            if datum.event_time > self.latest_wm:
+                break
+            print(f"  Flushing: event_time={datum.event_time}, value={datum.value}")
+            # Use Message.from_datum to preserve all metadata (id, headers, event_time, watermark)
+            yield Message.from_datum(datum)
+            i += 1
+
+        # Remove flushed items
+        self.sorted_buffer = self.sorted_buffer[i:]
+
+
+async def main():
+    """
+    Start the accumulator server.
+    """
+    import signal
+
+    server = AccumulatorAsyncServer()
+
+    # Set up signal handlers for graceful shutdown
+    loop = asyncio.get_running_loop()
+    try:
+        loop.add_signal_handler(signal.SIGINT, lambda: server.stop())
+        loop.add_signal_handler(signal.SIGTERM, lambda: server.stop())
+    except (NotImplementedError, RuntimeError):
+        pass
+
+    try:
+        print("Starting Stream Sorter Accumulator Server...")
+        await server.start(StreamSorter)
+        print("Shutting down gracefully...")
+    except asyncio.CancelledError:
+        try:
+            server.stop()
+        except Exception:
+            pass
+        return
+
+
+# Optional: ensure default signal handlers are in place so asyncio.run can handle them cleanly.
+import signal
+signal.signal(signal.SIGINT, signal.default_int_handler)
+try:
+    signal.signal(signal.SIGTERM, signal.SIG_DFL)
+except AttributeError:
+    pass
+
+if __name__ == "__main__":
+    asyncio.run(main())