Pypeline is a data pipeline builder library.
This is a package for creating iterative data processing pipelines. Note that this is NOT a general purpose stream processing library. It is only designed as being a low overhead and simple-to-setup stream processing library. So for large scale production applications, use something like kafka instead.
This library is still at an ALPHA stage. So things may not work as intended and the api is not final!
from pypeline import build_action, Pypeline, ForkingPypelineExecutor, wrap import asyncio async def step1(): results =  for i in range(1000): results.append(wrap(i)) return results async def step2(i): return i * 10 async def step3(i): return i + 1 async def run_pipeline(): pypeline = Pypeline() # Adding actions to the pipeline pypeline.add_action(build_action("Step1", step1)) \ .add_action(build_action("Step2", step2)) \ .add_action(build_action("Step3", step3, serialize_dir="./example")) # Serialize results so future runs will skip this step entirely results = await pypeline.run(executor=ForkingPypelineExecutor()) # Custom executor that avoids the GIL # Results are wrapped in a utility namedtuple, so let's flatten it. results = [r.args for r in results] return results results = asyncio.get_event_loop().run_until_complete(run_pipeline()) for result in results: print(result)
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