temporal-workdir 0.1.0

Remote-backed workspace sync for Temporal activities

Workspace Sync for Temporal Activities

Sync a local directory with remote storage before and after a Temporal activity. Enables file-based activities to work across distributed workers where disk is not shared.

Problem

Temporal activities that read/write files on local disk break when you scale to multiple worker instances. Each worker has its own disk. This module syncs a remote storage location to a local temp directory before the activity runs, and pushes changes back after.

Install

pip install temporal-workdir

# With a specific cloud backend:
pip install temporal-workdir gcsfs    # Google Cloud Storage
pip install temporal-workdir s3fs     # Amazon S3
pip install temporal-workdir adlfs    # Azure Blob Storage

Usage

As a context manager (generic, works anywhere)

from temporal_workdir import Workspace

async with Workspace("gs://my-bucket/pipeline/component-x") as ws:
    # ws.path is a local Path — read and write files normally
    data = json.loads((ws.path / "component.json").read_text())
    (ws.path / "result.csv").write_text("col1,col2\nval1,val2")
    # On clean exit: local dir is archived and uploaded
    # On exception: no upload (remote state unchanged)

As a Temporal activity decorator

from temporalio import activity
from temporal_workdir import workspace, get_workspace_path

@workspace("gs://my-bucket/{workflow_id}/{activity_type}")
@activity.defn
async def extract(input: ExtractInput) -> ExtractOutput:
    ws = get_workspace_path()
    # Template vars resolved from activity.info()
    source = (ws / "source.json").read_text()
    (ws / "output.csv").write_text(process(source))
    return ExtractOutput(success=True)

Custom template variables

@workspace(
    "gs://my-bucket/{workflow_id}/components/{component}",
    key_fn=lambda input: {"component": input.component_name},
)
@activity.defn
async def register(input: RegisterInput) -> RegisterOutput:
    ws = get_workspace_path()
    ...

How It Works

1. Pull: On entry, downloads {remote_url}.tar.gz and unpacks to a temp directory
2. Execute: Your activity reads/writes files in the local directory
3. Push: On clean exit, packs the directory into tar.gz and uploads

If the archive doesn't exist yet (first run), the local directory starts empty. If the activity raises an exception, no push happens. Remote state is untouched.

Storage Backends

Any backend supported by fsspec:

Scheme	Backend	Extra package
gs://	Google Cloud Storage	gcsfs
s3://	Amazon S3	s3fs
az://	Azure Blob Storage	adlfs
file://	Local filesystem	(none)
memory://	In-memory (testing)	(none)

Pass backend-specific options as keyword arguments:

Workspace("gs://bucket/key", project="my-gcp-project", token="cloud")