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Computation engine for Seamless: execute checksum-addressed transformations in Python or bash

Project description

seamless-transformer

seamless-transformer is the computation engine of the Seamless framework. It takes a transformation — a pure-functional computation defined as a checksum-addressed dict of inputs, code, and language — and executes it, returning a result checksum. It supports Python and bash transformations, multi-process worker pools with shared-memory IPC, and integration with the Seamless caching and remote infrastructure.

Core concepts

A transformation in Seamless is a deterministic computation: given the same inputs and code (identified by their checksums), it always produces the same output. seamless-transformer is responsible for:

  1. Building the transformation dict from the inputs and code, then computing its checksum (which serves as the transformation's identity for caching).
  2. Building the execution namespace: resolving input buffers, compiling modules, injecting dependencies.
  3. Executing the code — either Python (via exec) or bash (via subprocess with file-mapped pins).
  4. Returning the result as a checksum, which can be cached and reused.

Worker pool

For production use, seamless-transformer can spawn a pool of worker processes (seamless_transformer.worker.spawn()). Workers run in separate processes using the spawn multiprocessing context, and communicate with the parent via a custom IPC channel built on multiprocessing.Connection and shared memory.

  • The parent distributes transformation requests to the least-loaded worker.
  • Workers can delegate sub-transformations back to the parent (which redistributes them).
  • Buffer data is exchanged through shared memory to avoid serialization overhead.
  • Workers automatically restart on crash (segfault, etc.).

Integration with the Seamless ecosystem

  • seamless-core: provides the Checksum, Buffer, and buffer-cache primitives that seamless-transformer builds on.
  • seamless-dask: optionally offloads transformations to a Dask cluster (TransformationDaskMixin).
  • seamless-remote: used by the transformation cache to (a) look up cached results in the database before running, (b) access the buffer server for buffer data, and (c) submit transformations to the jobserver for remote execution (an alternative to local execution, not a cache lookup).
  • seamless-config: supplies project/stage selection for storage routing.
  • seamless-jobserver: depends on seamless-transformer to execute transformations received from the job queue.

CLI scripts

Installing seamless-transformer provides:

Command Description
seamless-run The CLI face of Seamless: wrap a bash command or pipeline as a transformation, using file/directory argument names as pin names
seamless-upload Upload input files/directories to the buffer server and write .CHECKSUM sidecar files, staging inputs for seamless-run
seamless-download Fetch result files/directories from the buffer server using .CHECKSUM sidecar files produced by seamless-run
seamless-run-transformation Universal transformation executor: run any Seamless transformation (Python, bash, or other) by checksum and print the result checksum
seamless-queue Run a queue server that executes seamless-run --qsubmit jobs concurrently — the CLI face's parallelization mechanism beyond &
seamless-queue-finish Signal the queue server to drain remaining jobs and shut down

Installation

pip install seamless-transformer

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