diff --git a/AGENTS.md b/AGENTS.md new file mode 100644 index 0000000..1896de1 --- /dev/null +++ b/AGENTS.md @@ -0,0 +1,10 @@ +# Overview +* utilize `just` for command running -- `just val` in backend is the "typechecking and testing". Always run this after you make any changes to python code +* project is managed by `uv` -- utilize that for running any python-related subcommands like `uv run pytest` or `uv run ty` for typechecking +* there are two python modules -- cascade which is a low level execution engine, and earthkit.workflows which is a higher level abstraction on top of it. Each has its own subdirectory in tests +* always use type annotations, it is enforced + * when working with a package with bad typing coverage like sqlalchemy, use ty:ignore comment + * when ty is not powerful enough, use ty:ignore + * use typing.cast when the code logic is implicitly erasing the type information +* prioritize using pydantic.BaseModel or dataclasses.dataclass object for capturing contracts and interfaces. + * ideally keep them plain, stateless, frozen, without functions -- we end up serializing those objects often over to other python processes or different languages diff --git a/src/cascade/executor/runner/runner.py b/src/cascade/executor/runner/runner.py index 5b72c98..78eb1ed 100644 --- a/src/cascade/executor/runner/runner.py +++ b/src/cascade/executor/runner/runner.py @@ -12,6 +12,7 @@ """ import logging +from collections.abc import Generator from dataclasses import dataclass from time import perf_counter_ns from typing import Any, Callable @@ -81,19 +82,9 @@ def run(taskId: TaskId, executionContext: ExecutionContext, memory: Memory) -> N # invoke result = func(*args, **kwargs) - if outputsN == 1: - mark({"task": taskId, "action": TaskLifecycle.computed}) - run_end = perf_counter_ns() # store outputs - if outputsN == 1: - outputKey, outputSchema = outputs[0] - outputId = DatasetId(taskId, outputKey) - memory.handle( - outputId, outputSchema, result, outputId in executionContext.publish - ) - mark({"task": taskId, "action": TaskLifecycle.published}) - else: + if isinstance(result, Generator): outputsI = iter(outputs) for (outputKey, outputSchema), outputValue in zip(outputsI, result): outputId = DatasetId(taskId, outputKey) @@ -113,6 +104,19 @@ def run(taskId: TaskId, executionContext: ExecutionContext, memory: Memory) -> N mark({"task": taskId, "action": TaskLifecycle.computed}) run_end = perf_counter_ns() mark({"task": taskId, "action": TaskLifecycle.published}) + else: + if outputsN != 1: + raise ValueError( + f"task {taskId} returned non-generator result but has {outputsN} outputs declared" + ) + mark({"task": taskId, "action": TaskLifecycle.computed}) + run_end = perf_counter_ns() + outputKey, outputSchema = outputs[0] + outputId = DatasetId(taskId, outputKey) + memory.handle( + outputId, outputSchema, result, outputId in executionContext.publish + ) + mark({"task": taskId, "action": TaskLifecycle.published}) end = perf_counter_ns() trace(Microtrace.wrk_task, end - start) diff --git a/uv.lock b/uv.lock index 6e965a5..9e5924f 100644 --- a/uv.lock +++ b/uv.lock @@ -1,13 +1,11 @@ version = 1 revision = 3 -requires-python = ">=3.10" +requires-python = ">=3.11" resolution-markers = [ "python_full_version >= '3.12' and platform_machine == 'ARM64' and sys_platform == 'win32'", - "python_full_version == '3.11.*' and platform_machine == 'ARM64' and sys_platform == 'win32'", + "python_full_version < '3.12' and platform_machine == 'ARM64' and sys_platform == 'win32'", "(python_full_version >= '3.12' and platform_machine != 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