seamless-transformer 0.4.0

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

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.).

Bounded parallel execution

In Python, for large batches of delayed transformations, use parallel() or parallel_async() instead of manually calling .start() and .run() on thousands of objects.

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
seamless-mode-bind.sh	Shell script: source it to bind seamless-mode commands and hotkeys into the current shell session

Compiled language support

seamless-transformer can wrap compiled source code as Seamless transformations. The compiled source defines a transform() function whose signature is described by a YAML schema; seamless-signature generates the C header, and CFFI builds the Python extension at runtime.

Built-in languages: C, C++, Fortran, Rust. The set is open — additional languages can be registered at runtime with define_compiled_language(). To add permanent support for a new language, create a file in seamless_transformer/languages/native/ following the pattern of rust.py (a single define_compiled_language() call with compiler name, flags, and compilation mode) and submit a pull request.

This requires the compiled optional-dependency group:

pip install seamless-transformer[compiled]

See docs/agent/contracts/compiled-transformers.md for the full behavioral contract.

Installation

pip install seamless-transformer

Setting up seamless-mode

After installing, seamless-mode-bind.sh is available on your PATH. Source it in your shell session to activate the seamless-mode-on, seamless-mode-off, seamless-mode-toggle commands and the Ctrl-U U hotkey.

Manual (any environment) — add to ~/.bashrc or ~/.zshrc:

source $(which seamless-mode-bind.sh)

Conda — auto-activate with the environment:

cp $(which seamless-mode-bind.sh) $CONDA_PREFIX/etc/conda/activate.d/

venv / virtualenv — append to the environment's activate script:

echo "source $(which seamless-mode-bind.sh)" >> $VIRTUAL_ENV/bin/activate

virtualenvwrapper — add to the environment's postactivate hook:

echo "source $(which seamless-mode-bind.sh)" >> $VIRTUAL_ENV/bin/postactivate