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huanld:main huanld:dependabot/pip/specklepy-3.2.4 huanld:dependabot/pip/ruff-0.14.14 huanld:dependabot/github_actions/actions/checkout-6.0.2 huanld:dependabot/pip/mypy-1.19.1 huanld:dependabot/pip/pytest-9.0.2 huanld:gergo/specklepy_bump huanld:dependabot/github_actions/specklesystems/speckle-automate-github-composite-action-0.9.2 huanld:dependabot/github_actions/actions/setup-python-6 huanld:jsdbroughton-patch-2 huanld:jsdbroughton-patch-1 huanld:iain/use-github-composite-action
huanld:0.3.2 huanld:0.3.1 huanld:0.3.0 huanld:0.2.0 huanld:0.1.2 huanld:0.1.1 huanld:0.1.0 huanld:0.0.4 huanld:0.0.3 huanld:0.0.2 huanld:0.0.1
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compare: huanld:0.0.4
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huanld:dependabot/pip/specklepy-3.2.4 huanld:dependabot/pip/ruff-0.14.14 huanld:dependabot/github_actions/actions/checkout-6.0.2 huanld:dependabot/pip/mypy-1.19.1 huanld:dependabot/pip/pytest-9.0.2 huanld:main huanld:gergo/specklepy_bump huanld:dependabot/github_actions/specklesystems/speckle-automate-github-composite-action-0.9.2 huanld:dependabot/github_actions/actions/setup-python-6 huanld:jsdbroughton-patch-2 huanld:jsdbroughton-patch-1 huanld:iain/use-github-composite-action
huanld:0.3.2 huanld:0.3.1 huanld:0.3.0 huanld:0.2.0 huanld:0.1.2 huanld:0.1.1 huanld:0.1.0 huanld:0.0.4 huanld:0.0.3 huanld:0.0.2 huanld:0.0.1

8 Commits
0.0.1 ... 0.0.4

Author SHA1 Message Date
Iain Sproat 2c7985843b chore(deps): bump speckle-automate-github-composite-action to 0.7.2 (#6)
build and deploy Speckle functions / publish-automate-function-version (push) Has been cancelled
Details
2023-11-10 23:10:42 +00:00
Iain Sproat 06d765e763 chore(github action): bump dependency speckle automate github composite action to 0.7.1 (#5) 2023-11-07 19:02:27 +01:00
Iain Sproat 2b8bbd68b3 fix(dockerfile): improve documentation and change working directory (#4)
build and deploy Speckle functions / publish-automate-function-version (push) Has been cancelled
Details 
- Installs code at /home/speckle to prevent collisions with files & directories in the root (/) directory
- Updates the README and provides instructions for building and testing the docker image locally
- Updated inline documentation in Dockerfile
 2023-11-02 12:32:59 +00:00
Gergő Jedlicska 522ce594a3 update github action 2023-10-27 10:33:59 +02:00
Gergő Jedlicska 31965969b1 feat: add context view demo 2023-10-26 15:17:40 +02:00
Gergő Jedlicska c526802a6d test sleeping 2023-10-25 19:13:15 +02:00
Gergő Jedlicska 3a33297f91 feat: migrate to new specklepy, unbuffered stdout 2023-10-25 19:06:18 +02:00
Gergő Jedlicska f64d3bc6e2 feat: migrate to new automate sdk version
build and deploy Speckle functions / publish-automate-function-version (push) Has been cancelled
Details
2023-10-12 10:57:26 +02:00
6 changed files with 352 additions and 289 deletions
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.github/workflows/main.yml
+2 -2
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@@ -29,10 +29,10 @@ jobs:
run: | run: |
python main.py generate_schema ${HOME}/${{ env.FUNCTION_SCHEMA_FILE_NAME }} python main.py generate_schema ${HOME}/${{ env.FUNCTION_SCHEMA_FILE_NAME }}
- name: Speckle Automate Function - Build and Publish - name: Speckle Automate Function - Build and Publish
uses: specklesystems/speckle-automate-github-composite-action@0.6.7 uses: specklesystems/speckle-automate-github-composite-action@0.7.2
with: with:
speckle_automate_url: ${{ env.SPECKLE_AUTOMATE_URL || 'https://automate.speckle.dev' }} speckle_automate_url: ${{ env.SPECKLE_AUTOMATE_URL || 'https://automate.speckle.dev' }}
speckle_token: ${{ secrets.SPECKLE_FUNCTION_TOKEN }} speckle_token: ${{ secrets.SPECKLE_FUNCTION_TOKEN }}
speckle_function_id: ${{ secrets.SPECKLE_FUNCTION_ID }} speckle_function_id: ${{ secrets.SPECKLE_FUNCTION_ID }}
speckle_function_input_schema_file_path: ${{ env.FUNCTION_SCHEMA_FILE_NAME }} speckle_function_input_schema_file_path: ${{ env.FUNCTION_SCHEMA_FILE_NAME }}
speckle_function_command: 'python main.py run' speckle_function_command: 'python -u main.py run'
Dockerfile
+12 -2
View File
@@ -1,6 +1,16 @@
# We use the official Python 3.11 image as our base image and will add our code to it. For more details, see https://hub.docker.com/_/python
FROM python:3.11-slim FROM python:3.11-slim
# We install poetry to generate a list of dependencies which will be required by our application
RUN pip install poetry RUN pip install poetry
COPY . . # We set the working directory to be the /home/speckle directory; all of our files will be copied here.
RUN poetry export -f requirements.txt --output requirements.txt && pip install -r requirements.txt WORKDIR /home/speckle
# Copy all of our code and assets from the local directory into the /home/speckle directory of the container.
# We also ensure that the user 'speckle' owns these files, so it can access them
# This assumes that the Dockerfile is in the same directory as the rest of the code
COPY . /home/speckle
# Using poetry, we generate a list of requirements, save them to requirements.txt, and then use pip to install them
RUN poetry export --format requirements.txt --output /home/speckle/requirements.txt && pip install --requirement /home/speckle/requirements.txt
README.md
+49 -22
View File
@@ -1,6 +1,5 @@
# Speckle Automate function template - Python # Speckle Automate function template - Python
This is a template repository for a Speckle Automate functions written in python This is a template repository for a Speckle Automate functions written in python
using the [specklepy](https://pypi.org/project/specklepy/) SDK to interact with Speckle data. using the [specklepy](https://pypi.org/project/specklepy/) SDK to interact with Speckle data.
@@ -24,20 +23,9 @@ describe how the launch.json should be edited
### Github Codespaces ### Github Codespaces
create new repo from template, and use the create new code Create a new repo from this template, and use the create new code.
### Using this Speckle Function
### Local dev environment
# Archive
This is a simple example of how to use the Speckle Automate Python package to automate the creation of a Speckle stream.
## Using this Speckle Function
1. [Create](https://automate.speckle.dev/) a new Speckle Automation. 1. [Create](https://automate.speckle.dev/) a new Speckle Automation.
1. Select your Speckle Project and Speckle Model. 1. Select your Speckle Project and Speckle Model.
@@ -47,14 +35,10 @@ This is a simple example of how to use the Speckle Automate Python package to au
## Getting Started with creating your own Speckle Function ## Getting Started with creating your own Speckle Function
1. [Fork](https://docs.github.com/en/get-started/quickstart/fork-a-repo) this repository. 1. [Register](https://automate.speckle.dev/) your Function with [Speckle Automate](https://automate.speckle.dev/) and select the Python template.
1. [Clone](https://docs.github.com/en/get-started/quickstart/fork-a-repo#cloning-your-forked-repository) your forked repository to your development environment, or use [GitHub CodeSpaces](https://github.com/features/codespaces). 1. A new repository will be created in your GitHub account.
1. [Register](https://automate.speckle.dev/) your Function with [Speckle Automate](https://automate.speckle.dev/).
1. After completing the registration of the Function you will be shown a Function Publish Token and a Function ID. You will need these later.
1. Save your Function Publish Token as a [GitHub Action Secret](https://docs.github.com/en/actions/security-guides/encrypted-secrets#creating-encrypted-secrets-for-a-repository) named `SPECKLE_AUTOMATE_FUNCTION_PUBLISH_TOKEN`.
1. Save your Function ID as a [GitHub Action Secret](https://docs.github.com/en/actions/security-guides/encrypted-secrets#creating-encrypted-secrets-for-a-repository) named `SPECKLE_AUTOMATE_FUNCTION_ID`.
1. Make changes to your Function in `main.py`. See below for the Developer Requirements, and instructions on how to test. 1. Make changes to your Function in `main.py`. See below for the Developer Requirements, and instructions on how to test.
1. Every commit to `main` branch will create a new version of your Speckle Function. 1. To create a new version of your Function, create a new [GitHub release](https://docs.github.com/en/repositories/releasing-projects-on-github/managing-releases-in-a-repository) in your repository.
## Developer Requirements ## Developer Requirements
@@ -66,7 +50,50 @@ This is a simple example of how to use the Speckle Automate Python package to au
## Building and Testing ## Building and Testing
The code can be tested locally by running `poetry run pytest`. The code can be tested locally by running `poetry run pytest`.
The code should also be packaged into the format required by Speckle Automate, a Docker Container Image, and that should also be tested.
### Building and running the Docker Container Image
Running and testing your code on your own machine is a great way to develop your Function; the following instructions are a bit more in-depth and only required if you are having issues with your Function in GitHub Actions or on Speckle Automate.
#### Building the Docker Container Image
Your code is packaged by the GitHub Action into the format required by Speckle Automate. This is done by building a Docker Image, which is then run by Speckle Automate. You can attempt to build the Docker Image yourself to test the building process locally.
To build the Docker Container Image, you will need to have [Docker](https://docs.docker.com/get-docker/) installed.
Once you have Docker running on your local machine:
1. Open a terminal
1. Navigate to the directory in which you cloned this repository
1. Run the following command:
```bash
docker build -f ./Dockerfile -t speckle_automate_python_example .
```
#### Running the Docker Container Image
Once the image has been built by the GitHub Action, it is sent to Speckle Automate. When Speckle Automate runs your Function as part of an Automation, it will run the Docker Container Image. You can test that your Docker Container Image runs correctly by running it locally.
1. To then run the Docker Container Image, run the following command:
```bash
docker run --rm speckle_automate_python_example \
python -u main.py run \
'{"projectId": "1234", "modelId": "1234", "branchName": "myBranch", "versionId": "1234", "speckleServerUrl": "https://speckle.xyz", "automationId": "1234", "automationRevisionId": "1234", "automationRunId": "1234", "functionId": "1234", "functionName": "my function", "functionLogo": "base64EncodedPng"}' \
'{}' \
yourSpeckleServerAuthenticationToken
```
Let's explain this in more detail:
`docker run --rm speckle_automate_python_example` tells Docker to run the Docker Container Image that we built earlier. `speckle_automate_python_example` is the name of the Docker Container Image that we built earlier. The `--rm` flag tells docker to remove the container after it has finished running, this frees up space on your machine.
The line `python -u main.py run` is the command that is run inside the Docker Container Image. The rest of the command is the arguments that are passed to the command. The arguments are:
- `'{"projectId": "1234", "modelId": "1234", "branchName": "myBranch", "versionId": "1234", "speckleServerUrl": "https://speckle.xyz", "automationId": "1234", "automationRevisionId": "1234", "automationRunId": "1234", "functionId": "1234", "functionName": "my function", "functionLogo": "base64EncodedPng"}'` - the metadata that describes the automation and the function.
- `{}` - the input parameters for the function that the Automation creator is able to set. Here they are blank, but you can add your own parameters to test your function.
- `yourSpeckleServerAuthenticationToken` - the authentication token for the Speckle Server that the Automation can connect to. This is required to be able to interact with the Speckle Server, for example to get data from the Model.
## Resources ## Resources
main.py
+17 -3
View File
@@ -3,6 +3,8 @@
use the automation_context module to wrap your function in an Autamate context helper use the automation_context module to wrap your function in an Autamate context helper
""" """
import time
from pydantic import Field from pydantic import Field
from speckle_automate import ( from speckle_automate import (
AutomateBase, AutomateBase,
@@ -46,14 +48,22 @@ def automate_function(
# the context provides a conveniet way, to receive the triggering version # the context provides a conveniet way, to receive the triggering version
version_root_object = automate_context.receive_version() version_root_object = automate_context.receive_version()
sleep_cycles = 10
for i in range(sleep_cycles):
print(f"sleeping {i}/{sleep_cycles}")
time.sleep(5)
count = 0 count = 0
for b in flatten_base(version_root_object): for b in flatten_base(version_root_object):
if b.speckle_type == function_inputs.forbidden_speckle_type: if b.speckle_type == function_inputs.forbidden_speckle_type:
if not b.id: if not b.id:
raise ValueError("Cannot operate on objects without their id's.") raise ValueError("Cannot operate on objects without their id's.")
automate_context.add_object_error(
b.id, automate_context.attach_error_to_objects(
"This project should not contain the type: " f"{b.speckle_type}", category="Forbidden speckle_type",
object_ids=b.id,
message="This project should not contain the type: "
f"{b.speckle_type}",
) )
count += 1 count += 1
@@ -65,6 +75,10 @@ def automate_function(
f"{function_inputs.forbidden_speckle_type}" f"{function_inputs.forbidden_speckle_type}"
) )
# set the automation context view, to the original model / version view
# to show the offending objects
automate_context.set_context_view()
else: else:
automate_context.mark_run_success("No forbidden types found.") automate_context.mark_run_success("No forbidden types found.")
poetry.lock
Generated
+270 -259
View File
@@ -2,13 +2,13 @@
[[package]] [[package]]
name = "annotated-types" name = "annotated-types"
version = "0.5.0" version = "0.6.0"
description = "Reusable constraint types to use with typing.Annotated" description = "Reusable constraint types to use with typing.Annotated"
optional = false optional = false
python-versions = ">=3.7" python-versions = ">=3.8"
files = [ files = [
{file = "annotated_types-0.5.0-py3-none-any.whl", hash = "sha256:58da39888f92c276ad970249761ebea80ba544b77acddaa1a4d6cf78287d45fd"}, {file = "annotated_types-0.6.0-py3-none-any.whl", hash = "sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43"},
{file = "annotated_types-0.5.0.tar.gz", hash = "sha256:47cdc3490d9ac1506ce92c7aaa76c579dc3509ff11e098fc867e5130ab7be802"}, {file = "annotated_types-0.6.0.tar.gz", hash = "sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d"},
] ]
[[package]] [[package]]
@@ -73,33 +73,29 @@ files = [
[[package]] [[package]]
name = "black" name = "black"
version = "23.9.1" version = "23.10.1"
description = "The uncompromising code formatter." description = "The uncompromising code formatter."
optional = false optional = false
python-versions = ">=3.8" python-versions = ">=3.8"
files = [ files = [
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] ]
[package.dependencies] [package.dependencies]
@@ -128,86 +124,101 @@ files = [
[[package]] [[package]]
name = "charset-normalizer" name = "charset-normalizer"
version = "3.2.0" version = "3.3.1"
description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet." description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
optional = false optional = false
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files = [ files = [
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{file = "pytest-7.4.2.tar.gz", hash = "sha256:a766259cfab564a2ad52cb1aae1b881a75c3eb7e34ca3779697c23ed47c47069"}, {file = "pytest-7.4.3.tar.gz", hash = "sha256:d989d136982de4e3b29dabcc838ad581c64e8ed52c11fbe86ddebd9da0818cd5"},
] ]
[package.dependencies] [package.dependencies]
@@ -792,13 +803,13 @@ files = [
[[package]] [[package]]
name = "specklepy" name = "specklepy"
version = "2.17.0" version = "2.17.8"
description = "The Python SDK for Speckle 2.0" description = "The Python SDK for Speckle 2.0"
optional = false optional = false
python-versions = ">=3.8.0,<4.0" python-versions = ">=3.8.0,<4.0"
files = [ files = [
{file = "specklepy-2.17.0-py3-none-any.whl", hash = "sha256:90c18812666dd3beeabe6b784f57de26227f7651d949c7cabe041e533b895581"}, {file = "specklepy-2.17.8-py3-none-any.whl", hash = "sha256:76494676bd3bafc2e222d4c3b0f22a2316781f9c9ac200067fb5fe4d1de3e2c7"},
{file = "specklepy-2.17.0.tar.gz", hash = "sha256:6c6044351beb6e68e81d296189966efdc470096febfa588e965949567ffaac1a"}, {file = "specklepy-2.17.8.tar.gz", hash = "sha256:9e066b67c0edc478c4f2d949e7662f7535a058189d9fb8d6eabad550c0b88c04"},
] ]
[package.dependencies] [package.dependencies]
@@ -904,17 +915,17 @@ files = [
[[package]] [[package]]
name = "urllib3" name = "urllib3"
version = "1.26.16" version = "1.26.18"
description = "HTTP library with thread-safe connection pooling, file post, and more." description = "HTTP library with thread-safe connection pooling, file post, and more."
optional = false optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*" python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
files = [ files = [
{file = "urllib3-1.26.16-py2.py3-none-any.whl", hash = "sha256:8d36afa7616d8ab714608411b4a3b13e58f463aee519024578e062e141dce20f"}, {file = "urllib3-1.26.18-py2.py3-none-any.whl", hash = "sha256:34b97092d7e0a3a8cf7cd10e386f401b3737364026c45e622aa02903dffe0f07"},
{file = "urllib3-1.26.16.tar.gz", hash = "sha256:8f135f6502756bde6b2a9b28989df5fbe87c9970cecaa69041edcce7f0589b14"}, {file = "urllib3-1.26.18.tar.gz", hash = "sha256:f8ecc1bba5667413457c529ab955bf8c67b45db799d159066261719e328580a0"},
] ]
[package.extras] [package.extras]
brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)", "brotlipy (>=0.6.0)"] brotli = ["brotli (==1.0.9)", "brotli (>=1.0.9)", "brotlicffi (>=0.8.0)", "brotlipy (>=0.6.0)"]
secure = ["certifi", "cryptography (>=1.3.4)", "idna (>=2.0.0)", "ipaddress", "pyOpenSSL (>=0.14)", "urllib3-secure-extra"] secure = ["certifi", "cryptography (>=1.3.4)", "idna (>=2.0.0)", "ipaddress", "pyOpenSSL (>=0.14)", "urllib3-secure-extra"]
socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"] socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"]
@@ -1170,4 +1181,4 @@ multidict = ">=4.0"
[metadata] [metadata]
lock-version = "2.0" lock-version = "2.0"
python-versions = "^3.11" python-versions = "^3.11"
content-hash = "780374d9cb4a657b90c78126b3caba29f2b4dbf202f9953705bfd512f34a88c6" content-hash = "797bedd0237ed31ed0b9f6294271b5c0f84a4b791d43cf16f2831459abd5b5f5"
pyproject.toml
+2 -1
View File
@@ -8,13 +8,14 @@ packages = [{include = "src/speckle_automate_py"}]
[tool.poetry.dependencies] [tool.poetry.dependencies]
python = "^3.11" python = "^3.11"
specklepy = "^2.17.0" specklepy = "2.17.8"
[tool.poetry.group.dev.dependencies] [tool.poetry.group.dev.dependencies]
black = "^23.3.0" black = "^23.3.0"
mypy = "^1.3.0" mypy = "^1.3.0"
ruff = "^0.0.271" ruff = "^0.0.271"
pytest = "^7.4.2" pytest = "^7.4.2"
# specklepy = {path = "../specklepy", develop = true}
[build-system] [build-system]
requires = ["poetry-core"] requires = ["poetry-core"]