TWS client for Python.
Project description
tws-sdk
Python client for TWS.
Installation
pip install tws-sdk
Usage
The library provides both synchronous and asynchronous clients for interacting with TWS.
The primary API is run_workflow, which executes a workflow configured via the TWS UI, waits for completion,
and returns the result.
Synchronous Usage
from tws import Client as TWSClient
# Use the client with a context manager
with TWSClient(
public_key="your_public_key",
secret_key="your_secret_key",
api_url="your_api_url"
) as tws_client:
# Run a workflow and wait for completion
result = tws_client.run_workflow(
workflow_definition_id="your_workflow_id",
workflow_args={
"param1": "value1",
"param2": "value2"
},
)
Asynchronous Usage
The signatures are exactly the same for async usage, but the client class is TWSAsyncClient and client
methods are awaited.
from tws import AsyncClient as TWSAsyncClient
async def main():
# Use the async client with a context manager
async with TWSAsyncClient(
public_key="your_public_key",
secret_key="your_secret_key",
api_url="your_api_url"
) as tws_client:
# Run a workflow and wait for completion
result = await tws_client.run_workflow(
workflow_definition_id="your_workflow_id",
workflow_args={
"param1": "value1",
"param2": "value2"
},
)
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refs/tags/v0.2.0-rc.1 - Owner: https://github.com/Fireline-Science
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