fix optional arg for speckle token
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@@ -1,12 +1,40 @@
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# Speckle Automate - Python Example
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# Speckle Automate function template - Python
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This is a template repository for a Speckle Automate functions written in python
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using the [specklepy](https://pypi.org/project/specklepy/) SDK to interact with Speckle data.
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This template contains the full scaffolding required to publish a function to the automate environment.
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Also has some sane defaults for a development environment setups.
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## Getting started
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1. Use this template repository to create a new repository in your own / organization's profile.
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Register the function
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### Add new dependencies
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To add new python package dependencies to the project, use:
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`$ poetry add pandas`
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### Change launch variables
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describe how the launch.json should be edited
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### Github Codespaces
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create new repo from template, and use the create new code
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### Local dev environment
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# Archive
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This is a simple example of how to use the Speckle Automate Python package to automate the creation of a Speckle stream.
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## What this Speckle Function does
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This Speckle Function creates a new comment in a Speckle Model. The phrase used in the comment is configured when the Speckle Automation is created; the Speckle Automation links a Speckle Function to a Speckle Model.
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The comment is attributed to the user who registered the Function with Speckle Automate.
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## Using this Speckle Function
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@@ -32,7 +60,7 @@ The comment is attributed to the user who registered the Function with Speckle A
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1. Install the following:
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- [Python 3](https://www.python.org/downloads/)
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- [Poetry](https://python-poetry.org/docs/#installing-with-the-official-installer)
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1. Run `poetry install` to install the required Python packages.
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1. Run `poetry shell && poetry install` to install the required Python packages.
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## Building and Testing
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@@ -2,10 +2,18 @@ import typer
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import os
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from speckle_project_data import SpeckleProjectData
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from automate_function import FunctionInputs, automate_function
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from typing_extensions import Annotated
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from typing import Optional
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def main(speckle_project_data: str, function_inputs: str, speckle_token: str = ""):
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speckle_token = speckle_token if speckle_token else os.environ.get("SPECKLE_TOKEN")
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def main(
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speckle_project_data: str,
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function_inputs: str,
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speckle_token: Annotated[Optional[str], typer.Argument()] = None,
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):
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speckle_token = (
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speckle_token if speckle_token else os.environ.get("SPECKLE_TOKEN", None)
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)
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if not speckle_token:
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raise ValueError("The supplied speckle token is not valid")
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