chore(speckleifc): changed ifc status messages (#478)

* remove this function

* Changed progress messages

.circleci/config.yml

@@ -1,80 +1,17 @@
 version: 2.1
 
-orbs:
-  python: circleci/python@2.0.3
-  codecov: codecov/codecov@3.2.2
-
+# Define the jobs we want to run for this project
 jobs:
-  test:
+  build:
     docker:
-      - image: "cimg/python:<<parameters.tag>>"
-      - image: "cimg/node:16.15"
-      - image: "cimg/redis:6.2"
-      - image: "cimg/postgres:14.2"
-        environment:
-          POSTGRES_DB: speckle2_test
-          POSTGRES_PASSWORD: speckle
-          POSTGRES_USER: speckle
-      - image: "speckle/speckle-server"
-        command: ["bash", "-c", "/wait && node bin/www"]
-        environment:
-          POSTGRES_URL: "127.0.0.1"
-          POSTGRES_USER: "speckle"
-          POSTGRES_PASSWORD: "speckle"
-          POSTGRES_DB: "speckle2_test"
-          REDIS_URL: "redis://127.0.0.1"
-          SESSION_SECRET: "keyboard cat"
-          STRATEGY_LOCAL: "true"
-          CANONICAL_URL: "http://localhost:3000"
-          WAIT_HOSTS: 127.0.0.1:5432, 127.0.0.1:6379
-          DISABLE_FILE_UPLOADS: "true"
-    parameters:
-      tag:
-        default: "3.8"
-        type: string
+      - image: cimg/base:2023.03
     steps:
-      - checkout
-      - run: python --version
-      - run:
-          command: python -m pip install --upgrade pip
-          name: upgrade pip
-      - python/install-packages:
-          pkg-manager: poetry
-      - run: poetry run pytest --cov --cov-report xml:reports/coverage.xml --junitxml=reports/test-results.xml
-
-      - store_test_results:
-          path: reports
-
-      - store_artifacts:
-          path: reports
-
-      - codecov/upload
-
-  deploy:
-    docker:
-      - image: "cimg/python:3.8"
-    steps:
-      - checkout
-      - run: python patch_version.py $CIRCLE_TAG
-      - run: poetry build
-      - run: poetry publish -u __token__ -p $PYPI_TOKEN
+      - run: echo "so long and thanks for all the fish"
 
+# Orchestrate our job run sequence
 workflows:
-  main:
+  build_and_test:
+    when:
+      false
     jobs:
-      - test:
-          matrix:
-            parameters:
-              tag: ["3.7", "3.8", "3.9", "3.10", "3.11"]
-          filters:
-            tags:
-              only: /.*/
-      - deploy:
-          context: pypi
-          requires:
-            - test
-          filters:
-            tags:
-              only: /[0-9]+(\.[0-9]+)*/
-            branches:
-              ignore: /.*/ # For testing only! /ci\/.*/
+      - build

.devcontainer/Dockerfile

@@ -1,27 +0,0 @@
-# See here for image contents: https://github.com/microsoft/vscode-dev-containers/blob/main/containers/python-3/.devcontainer/base.Dockerfile
-
-# [Choice] Python version: 3, 3.9, 3.8, 3.7, 3.6
-ARG VARIANT="3.10"
-FROM mcr.microsoft.com/vscode/devcontainers/python:${VARIANT}
-
-# [Choice] Node.js version: none, lts/*, 16, 14, 12, 10
-ARG NODE_VERSION="16"
-RUN if [ "${NODE_VERSION}" != "none" ]; then su vscode -c "umask 0002 && . /usr/local/share/nvm/nvm.sh && nvm install ${NODE_VERSION} 2>&1"; fi
-
-# [Optional] If your pip requirements rarely change, uncomment this section to add them to the image.
-# COPY requirements.txt /tmp/pip-tmp/
-# RUN pip3 --disable-pip-version-check --no-cache-dir install -r /tmp/pip-tmp/requirements.txt \
-#    && rm -rf /tmp/pip-tmp
-
-# [Optional] Uncomment this section to install additional OS packages.
-# RUN apt-get update && export DEBIAN_FRONTEND=noninteractive \
-#     && apt-get -y install --no-install-recommends <your-package-list-here>
-
-# [Optional] Uncomment this line to install global node packages.
-# RUN su vscode -c "source /usr/local/share/nvm/nvm.sh && npm install -g <your-package-here>" 2>&1
-
-USER vscode
-
-RUN curl -sSL https://raw.githubusercontent.com/python-poetry/poetry/master/get-poetry.py | python -
-
-ENV PATH=$PATH:$HOME/.poetry/env

.devcontainer/devcontainer.json

@@ -1,55 +0,0 @@
-// For format details, see https://aka.ms/devcontainer.json. For config options, see the README at:
-// https://github.com/microsoft/vscode-dev-containers/tree/v0.191.1/containers/python-3
-{
-	"name": "Python 3",
-	// "build": {
-	// 	"dockerfile": "Dockerfile",
-	// 	"context": "..",
-	// 	"args": {
-	// 		// Update 'VARIANT' to pick a Python version: 3, 3.6, 3.7, 3.8, 3.9
-	// 		"VARIANT": "3.6",
-	// 		// Options
-	// 		"NODE_VERSION": "lts/*"
-	// 	}
-	// },
-	"dockerComposeFile": "./docker-compose.yaml",
-	"service": "specklepy",
-	"workspaceFolder": "/workspaces/specklepy",
-	"shutdownAction": "stopCompose",
-	// Set *default* container specific settings.json values on container create.
-	"settings": {
-		"python.pythonPath": "/usr/local/bin/python",
-		"python.languageServer": "Pylance",
-		"python.linting.enabled": true,
-		"python.linting.pylintEnabled": true,
-		"python.linting.pylintArgs": [
-			"--max-line-length=120"
-		],
-		"python.formatting.autopep8Path": "/usr/local/py-utils/bin/autopep8",
-		"python.formatting.blackPath": "/usr/local/py-utils/bin/black",
-		"python.formatting.yapfPath": "/usr/local/py-utils/bin/yapf",
-		"python.linting.banditPath": "/usr/local/py-utils/bin/bandit",
-		"python.linting.flake8Path": "/usr/local/py-utils/bin/flake8",
-		"python.linting.mypyPath": "/usr/local/py-utils/bin/mypy",
-		"python.linting.pycodestylePath": "/usr/local/py-utils/bin/pycodestyle",
-		"python.linting.pydocstylePath": "/usr/local/py-utils/bin/pydocstyle",
-		"python.linting.pylintPath": "/usr/local/py-utils/bin/pylint",
-		"python.testing.pytestArgs": [
-			"tests/",
-			"-s"
-		],
-		"python.testing.pytestEnabled": true,
-		"editor.formatOnSave": true,
-	},
-	// Add the IDs of extensions you want installed when the container is created.
-	"extensions": [
-		"ms-python.python",
-		"ms-python.vscode-pylance"
-	],
-	// Use 'forwardPorts' to make a list of ports inside the container available locally.
-	// "forwardPorts": [],
-	// Use 'postCreateCommand' to run commands after the container is created.
-	"postCreateCommand": "poetry config virtualenvs.create false && poetry install",
-	// Comment out connect as root instead. More info: https://aka.ms/vscode-remote/containers/non-root.
-	"remoteUser": "vscode"
-}

.devcontainer/docker-compose.yaml

@@ -1,44 +0,0 @@
-version: "3.3"  # optional since v1.27.0
-services:
-  postgres:
-    image: cimg/postgres:14.2
-    environment:
-      POSTGRES_DB: speckle2_test
-      POSTGRES_PASSWORD: speckle
-      POSTGRES_USER: speckle
-    network_mode: host
-  redis:
-    image: cimg/redis:6.2
-    network_mode: host
-  speckle-server:
-    image: speckle/speckle-server:latest
-    command: ["bash", "-c", "/wait && node bin/www"]
-    environment:
-      POSTGRES_URL: "localhost"
-      POSTGRES_USER: "speckle"
-      POSTGRES_PASSWORD: "speckle"
-      POSTGRES_DB: "speckle2_test"
-      REDIS_URL: "redis://localhost"
-      SESSION_SECRET: "keyboard cat"
-      STRATEGY_LOCAL: "true"
-      CANONICAL_URL: "http://localhost:3000"
-      WAIT_HOSTS: localhost:5432, localhost:6379
-      DISABLE_FILE_UPLOADS: "true"
-    network_mode: host
-
-  specklepy:
-    build:
-      dockerfile: Dockerfile
-      context: .
-      args:
-        VARIANT: 3.9
-        NODE_VERSION: lts/*
-    volumes:
-      # Mounts the project folder to '/workspace'. While this file is in .devcontainer,
-      # mounts are relative to the first file in the list, which is a level up.
-      - ..:/workspaces/specklepy:cached
-    # Overrides default command so things don't shut down after the process ends.
-    command: /bin/sh -c "while sleep 1000; do :; done"
-    network_mode: host
-# networks:
-#     default:

.github/workflows/close-issue.yml

@@ -1,12 +0,0 @@
-name: Update issue Status
-
-on:
-  issues:
-    types: [closed]
-
-jobs:
-  update_issue:
-    uses: specklesystems/github-actions/.github/workflows/project-add-issue.yml@main
-    secrets: inherit
-    with:
-      issue-id: ${{ github.event.issue.node_id }}

.github/workflows/open-issue.yml

@@ -1,12 +0,0 @@
-name: Move new issues into Project
-
-on:
-  issues:
-    types: [opened]
-
-jobs:
-  track_issue:
-    uses: specklesystems/github-actions/.github/workflows/project-add-issue.yml@main
-    secrets: inherit
-    with:
-      issue-id: ${{ github.event.issue.node_id }}

.github/workflows/pr.yml

@@ -0,0 +1,100 @@
+name: "Specklepy test"
+on:
+  workflow_call:
+    secrets:
+      CODECOV_TOKEN:
+        required: true
+  pull_request:
+    branches:
+      - "main"
+
+jobs:
+  test-internal: # Run integration tests against the internal server image
+    name: Test (internal)
+    runs-on: ubuntu-latest
+    strategy:
+      matrix:
+        python-version:
+          - "3.10"
+          - "3.11"
+          - "3.12"
+          - "3.13"
+
+    steps:
+      - uses: actions/checkout@v4
+
+      - name: Install uv and set the python version
+        uses: astral-sh/setup-uv@v5
+        with:
+          python-version: ${{ matrix.python-version }}
+          enable-cache: true
+          cache-dependency-glob: "uv.lock"
+
+      - name: Install the project
+        run: uv sync --all-extras --dev
+
+      - name: Login to GitHub Container Registry
+        uses: docker/login-action@v3
+        with:
+          registry: "ghcr.io"
+          username: ${{ github.actor }}
+          password: ${{ github.token }}
+
+      - name: Run Speckle Server
+        run: docker compose --file docker-compose-internal.yml up --detach --wait
+
+      - name: Run tests
+        run: uv run pytest --cov --cov-report xml:reports/coverage.xml --junitxml=reports/test-results.xml
+
+      - uses: codecov/codecov-action@v5
+        if: matrix.python-version == 3.12
+        with:
+          fail_ci_if_error: true # optional (default = false)
+          files: ./reports/test-results.xml # optional
+          token: ${{ secrets.CODECOV_TOKEN }}
+
+      - name: Minimize uv cache
+        run: uv cache prune --ci
+
+  test-public: # Run integration tests against the public server image
+    name: Test (public)
+    runs-on: ubuntu-latest
+    env:
+      IS_PUBLIC: "true"
+    strategy:
+      matrix:
+        python-version:
+          - "3.10"
+          - "3.11"
+          - "3.12"
+          - "3.13"
+
+    steps:
+      - uses: actions/checkout@v4
+
+      - name: Install uv and set the python version
+        uses: astral-sh/setup-uv@v5
+        with:
+          python-version: ${{ matrix.python-version }}
+          enable-cache: true
+          cache-dependency-glob: "uv.lock"
+
+      - name: Install the project
+        run: uv sync --all-extras --dev
+
+      - uses: actions/cache@v3
+        with:
+          path: ~/.cache/pre-commit/
+          key: ${{ hashFiles('.pre-commit-config.yaml') }}
+
+      - name: Run pre-commit
+        run: uv run pre-commit run --all-files
+
+      - name: Run Speckle Server
+        run: docker compose --file docker-compose.yml up --detach --wait
+
+      - name: Run tests
+        run: uv run pytest --cov --cov-report xml:reports/coverage.xml --junitxml=reports/test-results.xml
+
+      - name: Minimize uv cache
+        run: uv cache prune --ci

.github/workflows/publish.yml

@@ -0,0 +1,55 @@
+name: "Publish Python Package"
+on:
+  push:
+    branches:
+      - "main"
+    tags:
+      - "3.*.*"
+
+jobs:
+  test:
+    uses: "./.github/workflows/pr.yml"
+    secrets:
+      CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}
+
+  publish-package:
+    name: "Build and Publish Python Package"
+    runs-on: ubuntu-latest
+    needs: test
+
+    # set the environment based on what triggered the workflow
+    environment:
+      name: ${{ github.ref_type == 'tag' && 'pypi' || 'testpypi' }}
+
+    permissions:
+      id-token: write
+
+    steps:
+      - name: "Install uv"
+        uses: astral-sh/setup-uv@v5
+
+      - name: "Checkout code"
+        uses: actions/checkout@v4
+        with:
+          fetch-depth: 0
+
+      - name: "Build package artifacts"
+        run: uv build
+
+      # Logic for TestPyPI (on main branch push)
+      - name: "Publish to TestPyPI"
+        if: ${{ github.ref_type == 'branch' }}
+        run: uv publish --index test
+
+      - name: "Verify TestPyPI package installation"
+        if: ${{ github.ref_type == 'branch' }}
+        run: uv run --index test --with specklepy --no-project -- python -c "import specklepy"
+
+      # Logic for PyPI (on v3* tag creation)
+      - name: "Publish to PyPI"
+        if: ${{ github.ref_type == 'tag' }}
+        run: uv publish
+
+      - name: "Verify PyPI package installation"
+        if: ${{ github.ref_type == 'tag' }}
+        run: uv run --with specklepy --no-project -- python -c "import specklepy"

.gitignore

@@ -2,6 +2,8 @@
 .envrc
 reports/
 
+.volumes/
+
 # Byte-compiled / optimized / DLL files
 __pycache__/
 *.py[cod]

.pre-commit-config.yaml

@@ -1,33 +1,31 @@
 repos:
-  - repo: https://github.com/charliermarsh/ruff-pre-commit
+  - repo: local
     hooks:
+      # Run the linter.
       - id: ruff
-    rev: v0.0.186
+        name: ruff lint
+        entry: uv run ruff check --force-exclude
+        language: system
+        types_or: [python, pyi]
+      # Run the formatter.
+      - id: ruff-format
+        name: ruff format
+        entry: uv run ruff format --force-exclude
+        language: system
+        types_or: [python, pyi]
+
 
   - repo: https://github.com/commitizen-tools/commitizen
     hooks:
-    - id: commitizen
-    - id: commitizen-branch
-      stages:
-      - push
-    rev: v2.38.0
+      - id: commitizen
+      - id: commitizen-branch
+        stages:
+          - pre-push
+    rev: v3.13.0
 
-  - repo: https://github.com/pycqa/isort
-    rev: v5.11.3
-    hooks:
-      - id: isort
 
-  - repo: https://github.com/psf/black
-    rev: 22.12.0
-    hooks:
-      - id: black
-        # It is recommended to specify the latest version of Python
-        # supported by your project here, or alternatively use
-        # pre-commit's default_language_version, see
-        # https://pre-commit.com/#top_level-default_language_version
-        # language_version: python3.11
   - repo: https://github.com/pre-commit/pre-commit-hooks
-    rev: v4.4.0
+    rev: v5.0.0
     hooks:
       - id: end-of-file-fixer
       - id: trailing-whitespace

.vscode/extensions.json

@@ -0,0 +1,6 @@
+{
+    "recommendations": [
+        "ms-python.python",
+        "charliermarsh.ruff"
+    ]
+}

.vscode/launch.json

@@ -4,10 +4,9 @@
   // For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387
   "version": "0.2.0",
   "configurations": [
-
     {
       "name": "Python: Current File",
-      "type": "python",
+      "type": "debugpy",
       "request": "launch",
       "program": "${file}",
       "console": "integratedTerminal",
@@ -15,10 +14,10 @@
     },
     {
       "name": "Pytest",
-      "type": "python",
+      "type": "debugpy",
       "request": "launch",
-      "program": "poetry",
-      "args": ["run", "pytest"],
+      "module": "pytest",
+      "args": [],
       "console": "integratedTerminal",
       "justMyCode": true
     }

README.md

@@ -2,46 +2,20 @@
   <img src="https://user-images.githubusercontent.com/2679513/131189167-18ea5fe1-c578-47f6-9785-3748178e4312.png" width="150px"/><br/>
   Speckle | specklepy 🐍
 </h1>
+
+<p align="center"><a href="https://twitter.com/SpeckleSystems"><img src="https://img.shields.io/twitter/follow/SpeckleSystems?style=social" alt="Twitter Follow"></a> <a href="https://speckle.community"><img src="https://img.shields.io/discourse/users?server=https%3A%2F%2Fspeckle.community&amp;style=flat-square&amp;logo=discourse&amp;logoColor=white" alt="Community forum users"></a> <a href="https://speckle.systems"><img src="https://img.shields.io/badge/https://-speckle.systems-royalblue?style=flat-square" alt="website"></a> <a href="https://speckle.guide/dev/"><img src="https://img.shields.io/badge/docs-speckle.guide-orange?style=flat-square&amp;logo=read-the-docs&amp;logoColor=white" alt="docs"></a></p>
+
+> Speckle is the first AEC data hub that connects with your favorite AEC tools. Speckle exists to overcome the challenges of working in a fragmented industry where communication, creative workflows, and the exchange of data are often hindered by siloed software and processes. It is here to make the industry better.
+
 <h3 align="center">
     The Python SDK
 </h3>
-<p align="center"><b>Speckle</b> is the data infrastructure for the AEC industry.</p><br/>
-
-<p align="center"><a href="https://twitter.com/SpeckleSystems"><img src="https://img.shields.io/twitter/follow/SpeckleSystems?style=social" alt="Twitter Follow"></a> <a href="https://speckle.community"><img src="https://img.shields.io/discourse/users?server=https%3A%2F%2Fspeckle.community&amp;style=flat-square&amp;logo=discourse&amp;logoColor=white" alt="Community forum users"></a> <a href="https://speckle.systems"><img src="https://img.shields.io/badge/https://-speckle.systems-royalblue?style=flat-square" alt="website"></a> <a href="https://speckle.guide/dev/"><img src="https://img.shields.io/badge/docs-speckle.guide-orange?style=flat-square&amp;logo=read-the-docs&amp;logoColor=white" alt="docs"></a></p>
-<p align="center"><a href="https://github.com/specklesystems/specklepy/"><img src="https://circleci.com/gh/specklesystems/specklepy.svg?style=svg&amp;circle-token=76eabd350ea243575cbb258b746ed3f471f7ac29" alt="Speckle-Next"></a><a href="https://codecov.io/gh/specklesystems/specklepy">
-  <img src="https://codecov.io/gh/specklesystems/specklepy/branch/main/graph/badge.svg?token=8KQFL5N0YF"/>
-</a> </p>
-
-# About Speckle
-
-What is Speckle? Check our ![YouTube Video Views](https://img.shields.io/youtube/views/B9humiSpHzM?label=Speckle%20in%201%20minute%20video&style=social)
-
-### Features
-
-- **Object-based:** say goodbye to files! Speckle is the first object based platform for the AEC industry
-- **Version control:** Speckle is the Git & Hub for geometry and BIM data
-- **Collaboration:** share your designs collaborate with others
-- **3D Viewer:** see your CAD and BIM models online, share and embed them anywhere
-- **Interoperability:** get your CAD and BIM models into other software without exporting or importing
-- **Real time:** get real time updates and notifications and changes
-- **GraphQL API:** get what you need anywhere you want it
-- **Webhooks:** the base for a automation and next-gen pipelines
-- **Built for developers:** we are building Speckle with developers in mind and got tools for every stack
-- **Built for the AEC industry:** Speckle connectors are plugins for the most common software used in the industry such as Revit, Rhino, Grasshopper, AutoCAD, Civil 3D, Excel, Unreal Engine, Unity, QGIS, Blender and more!
-
-### Try Speckle now!
-
-Give Speckle a try in no time by:
-
-- [![speckle XYZ](https://img.shields.io/badge/https://-speckle.xyz-0069ff?style=flat-square&logo=hackthebox&logoColor=white)](https://speckle.xyz) ⇒ creating an account at our public server
-- [![create a droplet](https://img.shields.io/badge/Create%20a%20Droplet-0069ff?style=flat-square&logo=digitalocean&logoColor=white)](https://marketplace.digitalocean.com/apps/speckle-server?refcode=947a2b5d7dc1) ⇒ deploying an instance in 1 click
-
-### Resources
-
-- [![Community forum users](https://img.shields.io/badge/community-forum-green?style=for-the-badge&logo=discourse&logoColor=white)](https://speckle.community) for help, feature requests or just to hang with other speckle enthusiasts, check out our community forum!
-- [![website](https://img.shields.io/badge/tutorials-speckle.systems-royalblue?style=for-the-badge&logo=youtube)](https://speckle.systems) our tutorials portal is full of resources to get you started using Speckle
-- [![docs](https://img.shields.io/badge/docs-speckle.guide-orange?style=for-the-badge&logo=read-the-docs&logoColor=white)](https://speckle.guide/dev/) reference on almost any end-user and developer functionality
 
+<p align="center">
+  <a href="https://pypi.org/project/specklepy/"><img alt="PyPI - Version" src="https://img.shields.io/pypi/v/specklepy"></a>
+  <a href="https://codecov.io/gh/specklesystems/specklepy"><img src="https://codecov.io/gh/specklesystems/specklepy/branch/main/graph/badge.svg?token=8KQFL5N0YF" alt="Codecov"></a>
+  <a href="https://github.com/specklesystems/specklepy/blob/main/LICENSE"><img alt="License" src="https://img.shields.io/github/license/specklesystems/specklepy"></a>
+</p>
 
 # Repo structure
 
@@ -55,25 +29,25 @@ Head to the [**📚 specklepy docs**](https://speckle.guide/dev/python.html) for
 
 ### Installation
 
-This project uses python-poetry for dependency management, make sure you follow the official [docs](https://python-poetry.org/docs/#installation) to get poetry.
+This project uses uv for dependency management, make sure you follow the official [docs](https://docs.astral.sh/uv/) to get it.
 
-To bootstrap the project environment run `$ poetry install`. This will create a new virtual-env for the project and install both the package and dev dependencies.
+To create a new virtual environment with uv run `$ uv venv` and follow the instructions on the screen to activate the virtual environment.
+To bootstrap the project environment run `$ uv sync`. This will install both the package and dev dependencies.
 
-If this is your first time using poetry and you're used to creating your venvs within the project directory, run `poetry config virtualenvs.in-project true` to configure poetry to do the same.
+To execute any python script run `$ uv run python my_script.py`
 
-To execute any python script run `$ poetry run python my_script.py`
-
-> Alternatively you may roll your own virtual-env with either venv, virtualenv, pyenv-virtualenv etc. Poetry will play along an recognize if it is invoked from inside a virtual environment.
+> Alternatively you may roll your own virtual-env with either venv, virtualenv, pyenv-virtualenv etc. Uv will play along an recognize if it is invoked from inside a virtual environment.
 
 ### Style guide
 
-All our repo  wide styling linting and other rules are checked and enforced by `pre-commit`, which is included in the dev dependencies.
+All our repo wide styling linting and other rules are checked and enforced by `pre-commit`, which is included in the dev dependencies.
 It is recommended to set up `pre-commit` after installing the dependencies by running `$ pre-commit install`.
 Commiting code that doesn't adhere to the given rules, will fail the checks in our CI system.
 
 ### Local Data Paths
 
 It may be helpful to know where the local accounts and object cache dbs are stored. Depending on on your OS, you can find the dbs at:
+
 - Windows: `APPDATA` or `<USER>\AppData\Roaming\Speckle`
 - Linux: `$XDG_DATA_HOME` or by default `~/.local/share/Speckle`
 - Mac: `~/.config/Speckle`

codebook.toml

@@ -0,0 +1 @@
+words = ["specklepy"]

docker-compose-internal.yml

@@ -0,0 +1,118 @@
+name: "speckle-server"
+
+services:
+  ####
+  # Speckle Server dependencies
+  #######
+  postgres:
+    image: "postgres:16.4-alpine3.20@sha256:d898b0b78a2627cb4ee63464a14efc9d296884f1b28c841b0ab7d7c42f1fffdf"
+    restart: always
+    environment:
+      POSTGRES_DB: speckle
+      POSTGRES_USER: speckle
+      POSTGRES_PASSWORD: speckle
+    volumes:
+      - ./.volumes/postgres-data:/var/lib/postgresql/data/
+    healthcheck:
+      # the -U user has to match the POSTGRES_USER value
+      test: ["CMD-SHELL", "pg_isready -U speckle"]
+      interval: 5s
+      timeout: 5s
+      retries: 30
+
+  redis:
+    image: "valkey/valkey:8.1-alpine@sha256:0d27f0bca0249f61d060029a6aaf2e16b2c417d68d02a508e1dfb763fa2948b4"
+    restart: always
+    volumes:
+      - ./.volumes/redis-data:/data
+    healthcheck:
+      test: ["CMD", "redis-cli", "--raw", "incr", "ping"]
+      interval: 5s
+      timeout: 5s
+      retries: 30
+
+  minio:
+    image: "minio/minio:RELEASE.2023-10-25T06-33-25Z"
+    command: server /data --console-address ":9001"
+    restart: always
+    volumes:
+      - ./.volumes/minio-data:/data
+    ports:
+      - '127.0.0.1:9000:9000'
+      - '127.0.0.1:9001:9001'
+    healthcheck:
+      test:
+        [
+          "CMD-SHELL",
+          "curl -s -o /dev/null http://127.0.0.1:9000/minio/index.html",
+        ]
+      interval: 5s
+      timeout: 30s
+      retries: 30
+      start_period: 10s
+
+  speckle-server:
+    image: ghcr.io/specklesystems/speckle-server:latest
+    restart: always
+    healthcheck:
+      test:
+        - CMD
+        - /nodejs/bin/node
+        - -e
+        - "try { require('node:http').request({headers: {'Content-Type': 'application/json'}, port:3000, hostname:'127.0.0.1', path:'/readiness', method: 'GET', timeout: 2000 }, (res) => { body = ''; res.on('data', (chunk) => {body += chunk;}); res.on('end', () => {process.exit(Number(res.statusCode != 200 || body.toLowerCase().includes('error')));}); }).end(); } catch { process.exit(1); }"
+      interval: 10s
+      timeout: 10s
+      retries: 3
+      start_period: 90s
+    ports:
+      - "0.0.0.0:3000:3000"
+    depends_on:
+      postgres:
+        condition: service_healthy
+      redis:
+        condition: service_healthy
+      minio:
+        condition: service_healthy
+    environment:
+      # TODO: Change this to the URL of the speckle server, as accessed from the network
+      CANONICAL_URL: "http://127.0.0.1:8080"
+      SPECKLE_AUTOMATE_URL: "http://127.0.0.1:3030"
+      FRONTEND_ORIGIN: "http://127.0.0.1:8081"
+
+      # TODO: Change thvolumes:
+      REDIS_URL: "redis://redis"
+
+      S3_ENDPOINT: "http://minio:9000"
+      S3_PUBLIC_ENDPOINT: "http://127.0.0.1:9000"
+      S3_ACCESS_KEY: "minioadmin"
+      S3_SECRET_KEY: "minioadmin"
+      S3_BUCKET: "speckle-server"
+      S3_CREATE_BUCKET: "true"
+
+      FILE_SIZE_LIMIT_MB: 100
+      MAX_PROJECT_MODELS_PER_PAGE: 500
+
+      # TODO: Change this to a unique secret for this server
+      SESSION_SECRET: "TODO:ReplaceWithLongString"
+
+      STRATEGY_LOCAL: "true"
+
+      POSTGRES_URL: "postgres"
+      POSTGRES_USER: "speckle"
+      POSTGRES_PASSWORD: "speckle"
+      POSTGRES_DB: "speckle"
+      ENABLE_MP: "false"
+
+      LOG_PRETTY: "true"
+
+      FF_NEXT_GEN_FILE_IMPORTER_ENABLED: "true"
+      FF_LARGE_FILE_IMPORTS_ENABLED: "true"
+
+networks:
+  default:
+    name: speckle-server
+
+volumes:
+  postgres-data:
+  redis-data:
+  minio-data:

docker-compose.yml

@@ -0,0 +1,118 @@
+name: "speckle-server"
+
+services:
+  ####
+  # Speckle Server dependencies
+  #######
+  postgres:
+    image: "postgres:16.4-alpine3.20@sha256:d898b0b78a2627cb4ee63464a14efc9d296884f1b28c841b0ab7d7c42f1fffdf"
+    restart: always
+    environment:
+      POSTGRES_DB: speckle
+      POSTGRES_USER: speckle
+      POSTGRES_PASSWORD: speckle
+    volumes:
+      - ./.volumes/postgres-data:/var/lib/postgresql/data/
+    healthcheck:
+      # the -U user has to match the POSTGRES_USER value
+      test: ["CMD-SHELL", "pg_isready -U speckle"]
+      interval: 5s
+      timeout: 5s
+      retries: 30
+
+  redis:
+    image: "valkey/valkey:8.1-alpine@sha256:0d27f0bca0249f61d060029a6aaf2e16b2c417d68d02a508e1dfb763fa2948b4"
+    restart: always
+    volumes:
+      - ./.volumes/redis-data:/data
+    healthcheck:
+      test: ["CMD", "redis-cli", "--raw", "incr", "ping"]
+      interval: 5s
+      timeout: 5s
+      retries: 30
+
+  minio:
+    image: "minio/minio:RELEASE.2023-10-25T06-33-25Z"
+    command: server /data --console-address ":9001"
+    restart: always
+    volumes:
+      - ./.volumes/minio-data:/data
+    ports:
+      - '127.0.0.1:9000:9000'
+      - '127.0.0.1:9001:9001'
+    healthcheck:
+      test:
+        [
+          "CMD-SHELL",
+          "curl -s -o /dev/null http://127.0.0.1:9000/minio/index.html",
+        ]
+      interval: 5s
+      timeout: 30s
+      retries: 30
+      start_period: 10s
+
+  speckle-server:
+    image: speckle/speckle-server:latest
+    restart: always
+    healthcheck:
+      test:
+        - CMD
+        - /nodejs/bin/node
+        - -e
+        - "try { require('node:http').request({headers: {'Content-Type': 'application/json'}, port:3000, hostname:'127.0.0.1', path:'/readiness', method: 'GET', timeout: 2000 }, (res) => { body = ''; res.on('data', (chunk) => {body += chunk;}); res.on('end', () => {process.exit(Number(res.statusCode != 200 || body.toLowerCase().includes('error')));}); }).end(); } catch { process.exit(1); }"
+      interval: 10s
+      timeout: 10s
+      retries: 3
+      start_period: 90s
+    ports:
+      - "0.0.0.0:3000:3000"
+    depends_on:
+      postgres:
+        condition: service_healthy
+      redis:
+        condition: service_healthy
+      minio:
+        condition: service_healthy
+    environment:
+      # TODO: Change this to the URL of the speckle server, as accessed from the network
+      CANONICAL_URL: "http://127.0.0.1:8080"
+      SPECKLE_AUTOMATE_URL: "http://127.0.0.1:3030"
+      FRONTEND_ORIGIN: "http://127.0.0.1:8081"
+
+      # TODO: Change thvolumes:
+      REDIS_URL: "redis://redis"
+
+      S3_ENDPOINT: "http://minio:9000"
+      S3_PUBLIC_ENDPOINT: "http://127.0.0.1:9000"
+      S3_ACCESS_KEY: "minioadmin"
+      S3_SECRET_KEY: "minioadmin"
+      S3_BUCKET: "speckle-server"
+      S3_CREATE_BUCKET: "true"
+
+      FILE_SIZE_LIMIT_MB: 100
+      MAX_PROJECT_MODELS_PER_PAGE: 500
+
+      # TODO: Change this to a unique secret for this server
+      SESSION_SECRET: "TODO:ReplaceWithLongString"
+
+      STRATEGY_LOCAL: "true"
+
+      POSTGRES_URL: "postgres"
+      POSTGRES_USER: "speckle"
+      POSTGRES_PASSWORD: "speckle"
+      POSTGRES_DB: "speckle"
+      ENABLE_MP: "false"
+
+      LOG_PRETTY: "true"
+
+      FF_NEXT_GEN_FILE_IMPORTER_ENABLED: "true"
+      FF_LARGE_FILE_IMPORTS_ENABLED: "true"
+
+networks:
+  default:
+    name: speckle-server
+
+volumes:
+  postgres-data:
+  redis-data:
+  minio-data:

docs/index.md

@@ -0,0 +1,50 @@
+# specklepy API Reference
+
+> The Python SDK for Speckle - Build powerful AEC data workflows
+
+**specklepy** is the Python SDK for Speckle, enabling you to interact with Speckle Server, send and receive geometry, and build custom integrations for the AEC industry.
+
+## What is specklepy?
+
+specklepy is a comprehensive Python library that provides:
+
+* **Object-based data exchange** - Send and receive geometry and BIM data without files
+* **GraphQL API client** - Full access to Speckle Server's API
+* **Extensible object model** - Create custom objects that inherit from `Base`
+* **Multiple transport options** - Store data locally (SQLite), in-memory, or on Speckle Server
+* **Geometry support** - Rich geometric primitives (Point, Line, Mesh, etc.)
+
+## Speckle Automate
+
+Speckle Automate is a fully fledged CI/CD platform designed to run custom code on Speckle models whenever a new version is available.
+
+As a software developer, you can develop Functions that others in your team consume in Automations. From creating reports to running code compliance checks to wind simulations, there is no limit to what you can do with Automate.
+
+## Installation
+
+Install specklepy using pip:
+
+```bash
+pip install specklepy
+```
+
+## Quick Example
+
+```python
+from specklepy.api.client import SpeckleClient
+from specklepy.api.credentials import get_default_account
+from specklepy.objects.geometry import Point
+
+# Authenticate
+client = SpeckleClient(host="https://app.speckle.systems")
+account = get_default_account()
+client.authenticate_with_account(account)
+
+# Create geometry
+point = Point(x=10, y=20, z=5)
+```
+
+## Getting Help
+
+- **Community Forum**: [speckle.community](https://speckle.community/c/help/developers)
+- **GitHub Issues**: [github.com/specklesystems/specklepy](https://github.com/specklesystems/specklepy/issues)

docs/speckle_automate/automation_context.md

@@ -0,0 +1 @@
+::: speckle_automate.AutomationContext

docs/speckle_automate/runner.md

@@ -0,0 +1,3 @@
+::: speckle_automate.runner.execute_automate_function
+
+::: speckle_automate.runner.run_function

docs/speckle_automate/schema.md

@@ -0,0 +1,11 @@
+::: speckle_automate.AutomateBase
+
+::: speckle_automate.AutomationRunData
+
+::: speckle_automate.AutomationResult
+
+::: speckle_automate.ResultCase
+
+::: speckle_automate.AutomationStatus
+
+::: speckle_automate.ObjectResultLevel

docs/specklepy/api/client.md

@@ -0,0 +1 @@
+::: specklepy.api.client.SpeckleClient

docs/specklepy/api/credentials.md

@@ -0,0 +1,5 @@
+::: specklepy.api.credentials.Account
+
+::: specklepy.api.credentials.UserInfo
+
+::: specklepy.api.credentials.StreamWrapper

docs/specklepy/api/operations.md

@@ -0,0 +1,7 @@
+::: specklepy.api.operations.send
+
+::: specklepy.api.operations.receive
+
+::: specklepy.api.operations.serialize
+
+::: specklepy.api.operations.deserialize

docs/specklepy/api/resources/ActiveUserResource.md

@@ -0,0 +1 @@
+::: specklepy.api.resources.ActiveUserResource

docs/specklepy/api/resources/FileImportResource.md

@@ -0,0 +1 @@
+::: specklepy.api.resources.FileImportResource

docs/specklepy/api/resources/ModelResource.md

@@ -0,0 +1 @@
+::: specklepy.api.resources.ModelResource

docs/specklepy/api/resources/OtherUserResource.md

@@ -0,0 +1 @@
+::: specklepy.api.resources.OtherUserResource

docs/specklepy/api/resources/ProjectInviteResource.md

@@ -0,0 +1 @@
+::: specklepy.api.resources.ProjectInviteResource

docs/specklepy/api/resources/ProjectResource.md

@@ -0,0 +1 @@
+::: specklepy.api.resources.ProjectResource

docs/specklepy/api/resources/ServerResource.md

@@ -0,0 +1 @@
+::: specklepy.api.resources.ServerResource

docs/specklepy/api/resources/SubscriptionResource.md

@@ -0,0 +1 @@
+::: specklepy.api.resources.SubscriptionResource

docs/specklepy/api/resources/VersionResource.md

@@ -0,0 +1 @@
+::: specklepy.api.resources.VersionResource

docs/specklepy/api/resources/WorkspaceResource.md

@@ -0,0 +1 @@
+::: specklepy.api.resources.WorkspaceResource

docs/specklepy/core/api/enums.md

@@ -0,0 +1 @@
+::: specklepy.core.api.enums.ProjectVisibility

docs/specklepy/core/api/inputs/inputs.md

@@ -0,0 +1,11 @@
+::: specklepy.core.api.inputs.ProjectCreateInput
+
+::: specklepy.core.api.inputs.ProjectUpdateInput
+
+::: specklepy.core.api.inputs.CreateModelInput
+
+::: specklepy.core.api.inputs.UpdateModelInput
+
+::: specklepy.core.api.inputs.CreateVersionInput
+
+::: specklepy.core.api.inputs.UpdateVersionInput

docs/specklepy/core/api/models/models.md

@@ -0,0 +1,13 @@
+::: specklepy.core.api.models.User
+
+::: specklepy.core.api.models.LimitedUser
+
+::: specklepy.core.api.models.ServerInfo
+
+::: specklepy.core.api.models.Project
+
+::: specklepy.core.api.models.Model
+
+::: specklepy.core.api.models.Version
+
+::: specklepy.core.api.models.current.Workspace

docs/specklepy/logging/exceptions.md

@@ -0,0 +1,7 @@
+::: specklepy.logging.exceptions.SpeckleException
+
+::: specklepy.logging.exceptions.GraphQLException
+
+::: specklepy.logging.exceptions.SerializationException
+
+::: specklepy.logging.exceptions.SpeckleWarning

docs/specklepy/objects/base.md

@@ -0,0 +1,3 @@
+::: specklepy.objects.Base
+
+::: specklepy.objects.base.DataChunk

docs/specklepy/objects/data_objects.md

@@ -0,0 +1,5 @@
+::: specklepy.objects.DataObject
+
+::: specklepy.objects.QgisObject
+
+::: specklepy.objects.BlenderObject

docs/specklepy/objects/geometry/Arc.md

@@ -0,0 +1 @@
+::: specklepy.objects.geometry.Arc

docs/specklepy/objects/geometry/Box.md

@@ -0,0 +1 @@
+::: specklepy.objects.geometry.Box

docs/specklepy/objects/geometry/Circle.md

@@ -0,0 +1 @@
+::: specklepy.objects.geometry.Circle

docs/specklepy/objects/geometry/ControlPoint.md

@@ -0,0 +1 @@
+::: specklepy.objects.geometry.ControlPoint

docs/specklepy/objects/geometry/Curve.md

@@ -0,0 +1 @@
+::: specklepy.objects.geometry.Curve

docs/specklepy/objects/geometry/Ellipse.md

@@ -0,0 +1 @@
+::: specklepy.objects.geometry.Ellipse

docs/specklepy/objects/geometry/Line.md

@@ -0,0 +1 @@
+::: specklepy.objects.geometry.Line

docs/specklepy/objects/geometry/Mesh.md

@@ -0,0 +1 @@
+::: specklepy.objects.geometry.Mesh

docs/specklepy/objects/geometry/Plane.md

@@ -0,0 +1 @@
+::: specklepy.objects.geometry.Plane

docs/specklepy/objects/geometry/Point.md

@@ -0,0 +1 @@
+::: specklepy.objects.geometry.Point

docs/specklepy/objects/geometry/PointCloud.md

@@ -0,0 +1 @@
+::: specklepy.objects.geometry.PointCloud

docs/specklepy/objects/geometry/Polycurve.md

@@ -0,0 +1 @@
+::: specklepy.objects.geometry.Polycurve

docs/specklepy/objects/geometry/Polyline.md

@@ -0,0 +1 @@
+::: specklepy.objects.geometry.Polyline

docs/specklepy/objects/geometry/Spiral.md

@@ -0,0 +1 @@
+::: specklepy.objects.geometry.Spiral

docs/specklepy/objects/geometry/Surface.md

@@ -0,0 +1 @@
+::: specklepy.objects.geometry.Surface

docs/specklepy/objects/geometry/Vector.md

@@ -0,0 +1 @@
+::: specklepy.objects.geometry.Vector

docs/specklepy/objects/graph_traversal/traversal.md

@@ -0,0 +1,7 @@
+::: specklepy.objects.graph_traversal.GraphTraversal
+
+::: specklepy.objects.graph_traversal.TraversalContext
+
+::: specklepy.objects.graph_traversal.TraversalRule
+
+::: specklepy.objects.graph_traversal.DefaultRule

docs/specklepy/objects/other/collection.md

@@ -0,0 +1 @@
+::: specklepy.objects.models.collections.collection.Collection

docs/specklepy/objects/other/render_material.md

@@ -0,0 +1 @@
+::: specklepy.objects.other.RenderMaterial

docs/specklepy/objects/primitives/interval.md

@@ -0,0 +1 @@
+::: specklepy.objects.primitive.Interval

docs/specklepy/objects/proxies/ColorProxy.md

@@ -0,0 +1 @@
+::: specklepy.objects.proxies.ColorProxy

docs/specklepy/objects/proxies/GroupProxy.md

@@ -0,0 +1 @@
+::: specklepy.objects.proxies.GroupProxy

docs/specklepy/objects/proxies/InstanceDefinitionProxy.md

@@ -0,0 +1 @@
+::: specklepy.objects.proxies.InstanceDefinitionProxy

docs/specklepy/objects/proxies/InstanceProxy.md

@@ -0,0 +1 @@
+::: specklepy.objects.proxies.InstanceProxy

docs/specklepy/objects/proxies/LevelProxy.md

@@ -0,0 +1 @@
+::: specklepy.objects.proxies.LevelProxy

docs/specklepy/objects/proxies/RenderMaterialProxy.md

@@ -0,0 +1 @@
+::: specklepy.objects.proxies.RenderMaterialProxy

docs/specklepy/serialization/serializer.md

@@ -0,0 +1 @@
+::: specklepy.serialization.base_object_serializer.BaseObjectSerializer

docs/specklepy/transports/transports.md

@@ -0,0 +1,7 @@
+::: specklepy.transports.abstract_transport.AbstractTransport
+
+::: specklepy.transports.memory.MemoryTransport
+
+::: specklepy.transports.sqlite.SQLiteTransport
+
+::: specklepy.transports.server.ServerTransport

docs/stylesheets/extra.css

@@ -0,0 +1,304 @@
+.md-content h1 {
+    font-size: 1.125rem;
+    font-weight: 700;
+    color: #111827;
+    letter-spacing: -0.025em;
+    line-height: 1.2;
+}
+
+@media (min-width: 640px) {
+    .md-content h1 {
+        font-size: 1.25rem;
+    }
+}
+
+[data-md-color-scheme="slate"] .md-content h1 {
+    color: #e5e7eb;
+}
+
+.md-content h2 {
+    font-size: 1rem;
+    font-weight: 700;
+    color: #111827;
+    letter-spacing: -0.025em;
+    margin-top: 2rem;
+}
+
+@media (min-width: 640px) {
+    .md-content h2 {
+        font-size: 1.125rem;
+    }
+}
+
+[data-md-color-scheme="slate"] .md-content h2 {
+    color: #e5e7eb;
+}
+
+.md-content h3 {
+    font-size: 0.9375rem;
+    font-weight: 600;
+    color: #1f2937;
+    margin-top: 1.5rem;
+}
+
+@media (min-width: 640px) {
+    .md-content h3 {
+        font-size: 1rem;
+    }
+}
+
+[data-md-color-scheme="slate"] .md-content h3 {
+    color: #d1d5db;
+}
+
+.md-content p,
+.md-content li {
+    font-size: 0.875rem;
+    line-height: 1.6;
+    color: #374151;
+    margin-top: 0.5rem;
+}
+
+[data-md-color-scheme="slate"] .md-content p,
+[data-md-color-scheme="slate"] .md-content li {
+    color: #d1d5db;
+}
+
+.doc.doc-object-name {
+    font-size: 1.125rem;
+    font-weight: 700;
+    color: #111827;
+}
+
+[data-md-color-scheme="slate"] .doc.doc-object-name {
+    color: #e5e7eb;
+}
+
+.doc.doc-heading {
+    font-size: 0.9375rem;
+    font-weight: 600;
+    color: #1f2937;
+}
+
+[data-md-color-scheme="slate"] .doc.doc-heading {
+    color: #d1d5db;
+}
+
+.md-content code {
+    font-size: 0.75rem;
+    color: #dc2626;
+    background-color: #f3f4f6;
+    padding: 0.125rem 0.375rem;
+    border-radius: 0.25rem;
+}
+
+[data-md-color-scheme="slate"] .md-content code {
+    color: #fca5a5;
+    background-color: #1f2937;
+}
+
+.md-content pre code {
+    font-size: 0.75rem;
+    color: inherit;
+    background-color: transparent;
+    padding: 0;
+}
+
+.md-content a {
+    color: #2563eb;
+    text-decoration: none;
+}
+
+.md-content a:hover {
+    color: #1d4ed8;
+    text-decoration: underline;
+}
+
+[data-md-color-scheme="slate"] .md-content a {
+    color: #60a5fa;
+}
+
+[data-md-color-scheme="slate"] .md-content a:hover {
+    color: #93c5fd;
+}
+
+[data-md-color-scheme="slate"] {
+    --md-default-bg-color: #000000;
+    --md-default-fg-color: #ffffff;
+    --md-code-bg-color: #0a0a0a;
+    --md-code-fg-color: #ffffff;
+}
+
+[data-md-color-scheme="slate"] .md-header {
+    background-color: #000000;
+}
+
+[data-md-color-scheme="slate"] .md-tabs {
+    background-color: #000000;
+}
+
+[data-md-color-scheme="slate"] .md-footer {
+    background-color: #000000;
+}
+
+[data-md-color-scheme="slate"] .md-sidebar {
+    background-color: #000000;
+}
+
+[data-md-color-scheme="slate"] .md-nav {
+    background-color: #000000;
+}
+
+.highlight pre,
+.highlight code {
+    background-color: #f6f8fa !important;
+    color: #24292e !important;
+}
+
+.highlight .k,
+.highlight .kc,
+.highlight .kd,
+.highlight .kn,
+.highlight .kp,
+.highlight .kr,
+.highlight .kt {
+    color: #d73a49 !important;
+}
+
+.highlight .s,
+.highlight .s1,
+.highlight .s2,
+.highlight .sb,
+.highlight .sc,
+.highlight .sd,
+.highlight .se,
+.highlight .sh,
+.highlight .si,
+.highlight .sx,
+.highlight .sr,
+.highlight .ss {
+    color: #032f62 !important;
+}
+
+.highlight .nf,
+.highlight .fm,
+.highlight .nc {
+    color: #6f42c1 !important;
+}
+
+.highlight .m,
+.highlight .mf,
+.highlight .mh,
+.highlight .mi,
+.highlight .mo {
+    color: #005cc5 !important;
+}
+
+.highlight .c,
+.highlight .c1,
+.highlight .cm,
+.highlight .cp,
+.highlight .cs {
+    color: #6a737d !important;
+    font-style: italic;
+}
+
+.highlight .o,
+.highlight .ow {
+    color: #d73a49 !important;
+}
+
+.highlight .n,
+.highlight .na,
+.highlight .nb,
+.highlight .nd,
+.highlight .ni,
+.highlight .nl,
+.highlight .nn,
+.highlight .nx,
+.highlight .py,
+.highlight .nt,
+.highlight .nv,
+.highlight .bp,
+.highlight .vc,
+.highlight .vg,
+.highlight .vi {
+    color: #e36209 !important;
+}
+
+[data-md-color-scheme="slate"] .highlight pre,
+[data-md-color-scheme="slate"] .highlight code {
+    background-color: #0d1117 !important;
+    color: #e6edf3 !important;
+}
+
+[data-md-color-scheme="slate"] .highlight .k,
+[data-md-color-scheme="slate"] .highlight .kc,
+[data-md-color-scheme="slate"] .highlight .kd,
+[data-md-color-scheme="slate"] .highlight .kn,
+[data-md-color-scheme="slate"] .highlight .kp,
+[data-md-color-scheme="slate"] .highlight .kr,
+[data-md-color-scheme="slate"] .highlight .kt {
+    color: #ff7b72 !important;
+}
+
+[data-md-color-scheme="slate"] .highlight .s,
+[data-md-color-scheme="slate"] .highlight .s1,
+[data-md-color-scheme="slate"] .highlight .s2,
+[data-md-color-scheme="slate"] .highlight .sb,
+[data-md-color-scheme="slate"] .highlight .sc,
+[data-md-color-scheme="slate"] .highlight .sd,
+[data-md-color-scheme="slate"] .highlight .se,
+[data-md-color-scheme="slate"] .highlight .sh,
+[data-md-color-scheme="slate"] .highlight .si,
+[data-md-color-scheme="slate"] .highlight .sx,
+[data-md-color-scheme="slate"] .highlight .sr,
+[data-md-color-scheme="slate"] .highlight .ss {
+    color: #a5d6ff !important;
+}
+
+[data-md-color-scheme="slate"] .highlight .nf,
+[data-md-color-scheme="slate"] .highlight .fm,
+[data-md-color-scheme="slate"] .highlight .nc {
+    color: #d2a8ff !important;
+}
+
+[data-md-color-scheme="slate"] .highlight .m,
+[data-md-color-scheme="slate"] .highlight .mf,
+[data-md-color-scheme="slate"] .highlight .mh,
+[data-md-color-scheme="slate"] .highlight .mi,
+[data-md-color-scheme="slate"] .highlight .mo {
+    color: #79c0ff !important;
+}
+
+[data-md-color-scheme="slate"] .highlight .c,
+[data-md-color-scheme="slate"] .highlight .c1,
+[data-md-color-scheme="slate"] .highlight .cm,
+[data-md-color-scheme="slate"] .highlight .cp,
+[data-md-color-scheme="slate"] .highlight .cs {
+    color: #8b949e !important;
+    font-style: italic;
+}
+
+[data-md-color-scheme="slate"] .highlight .o,
+[data-md-color-scheme="slate"] .highlight .ow {
+    color: #ff7b72 !important;
+}
+
+[data-md-color-scheme="slate"] .highlight .n,
+[data-md-color-scheme="slate"] .highlight .na,
+[data-md-color-scheme="slate"] .highlight .nb,
+[data-md-color-scheme="slate"] .highlight .nd,
+[data-md-color-scheme="slate"] .highlight .ni,
+[data-md-color-scheme="slate"] .highlight .nl,
+[data-md-color-scheme="slate"] .highlight .nn,
+[data-md-color-scheme="slate"] .highlight .nx,
+[data-md-color-scheme="slate"] .highlight .py,
+[data-md-color-scheme="slate"] .highlight .nt,
+[data-md-color-scheme="slate"] .highlight .nv,
+[data-md-color-scheme="slate"] .highlight .bp,
+[data-md-color-scheme="slate"] .highlight .vc,
+[data-md-color-scheme="slate"] .highlight .vg,
+[data-md-color-scheme="slate"] .highlight .vi {
+    color: #ffa657 !important;
+}

example/units_none.py

@@ -1,8 +1,8 @@
 from devtools import debug
 
 from specklepy.api import operations
-from specklepy.objects.geometry import Base
-from specklepy.objects.units import Units
+from specklepy.objects_v2.geometry import Base
+from specklepy.objects_v2.units import Units
 
 dct = {
     "id": "1234abcd",

mise.toml

@@ -0,0 +1,27 @@
+[tools]
+python = "3.13.7"
+uv = "0.9.11"
+
+[settings]
+experimental = true
+python.uv_venv_auto = true
+
+
+[tasks.install]
+run= "uv sync --all-extras --all-groups"
+
+
+[tasks.install_docs]
+run= "uv sync --group docs"
+
+[tasks.build_docs]
+description = "Build static docs "
+run = "uv run mkdocs build"
+depends = ['install_docs']
+
+[tasks.test]
+run = "uv run pytest"
+
+
+[env]
+IS_PUBLIC = "false"

mkdocs.yml

@@ -0,0 +1,130 @@
+site_name: specklepy Docs
+theme:
+  name: material
+  font:
+    text: Inter
+  favicon: assets/speckle_logo.png
+  logo: assets/speckle_logo.png
+  features:
+    - navigation.tabs
+  palette:
+    # Palette toggle for light mode
+    - scheme: default
+      primary: white
+      toggle:
+        icon: material/weather-night
+        name: Switch to dark mode
+
+    # Palette toggle for dark mode
+    - scheme: slate
+      primary: black
+      logo: assets/logo_white.png
+      toggle:
+        icon: material/weather-sunny
+        name: Switch to light mode
+
+
+
+markdown_extensions:
+  - pymdownx.highlight:
+      anchor_linenums: true
+      line_spans: __span
+      pygments_lang_class: true
+  - pymdownx.inlinehilite
+  - pymdownx.snippets
+  - pymdownx.superfences
+
+extra_css:
+- stylesheets/extra.css
+
+plugins:
+  - search
+  - mkdocstrings:
+      handlers:
+        python:
+          paths: [src]
+          options:
+            parameter_headings: false
+            members_order: source
+            separate_signature: true
+            filters: ["!^_"] #Ignore _ prefixed properties
+            docstring_options:
+              ignore_init_summary: true
+            merge_init_into_class: true
+            show_signature_annotations: true
+            signature_crossrefs: true
+            show_if_no_docstring: true
+            show_labels: true
+            show_source: true
+            show_symbol_type_heading: true
+            show_symbol_type_toc: true
+            show_bases: false
+            heading_level: 3
+
+          inventories:
+            - url: https://docs.python.org/3/objects.inv
+              domains: [py, std]
+
+nav:
+  - Home: index.md
+  - specklepy SDK:
+    - API:
+      - Client: specklepy/api/client.md
+      - Credentials: specklepy/api/credentials.md
+      - Operations: specklepy/api/operations.md
+      - Resources:
+        - ActiveUserResource: specklepy/api/resources/ActiveUserResource.md
+        - FileImportResource: specklepy/api/resources/FileImportResource.md
+        - ModelResource: specklepy/api/resources/ModelResource.md
+        - OtherUserResource: specklepy/api/resources/OtherUserResource.md
+        - ProjectInviteResource: specklepy/api/resources/ProjectInviteResource.md
+        - ProjectResource: specklepy/api/resources/ProjectResource.md
+        - ServerResource: specklepy/api/resources/ServerResource.md
+        - SubscriptionResource: specklepy/api/resources/SubscriptionResource.md
+        - VersionResource: specklepy/api/resources/VersionResource.md
+        - WorkspaceResource: specklepy/api/resources/WorkspaceResource.md
+    - Objects:
+      - Base: specklepy/objects/base.md
+      - Data Objects: specklepy/objects/data_objects.md
+      - Geometry:
+        - Arc: specklepy/objects/geometry/Arc.md
+        - Box: specklepy/objects/geometry/Box.md
+        - Circle: specklepy/objects/geometry/Circle.md
+        - ControlPoint: specklepy/objects/geometry/ControlPoint.md
+        - Curve: specklepy/objects/geometry/Curve.md
+        - Ellipse: specklepy/objects/geometry/Ellipse.md
+        - Line: specklepy/objects/geometry/Line.md
+        - Mesh: specklepy/objects/geometry/Mesh.md
+        - Plane: specklepy/objects/geometry/Plane.md
+        - Point: specklepy/objects/geometry/Point.md
+        - PointCloud: specklepy/objects/geometry/PointCloud.md
+        - Polycurve: specklepy/objects/geometry/Polycurve.md
+        - Polyline: specklepy/objects/geometry/Polyline.md
+        - Spiral: specklepy/objects/geometry/Spiral.md
+        - Surface: specklepy/objects/geometry/Surface.md
+        - Vector: specklepy/objects/geometry/Vector.md
+      - Primitives:
+        - Interval: specklepy/objects/primitives/interval.md
+      - Other:
+        - RenderMaterial: specklepy/objects/other/render_material.md
+        - Collection: specklepy/objects/other/collection.md
+      - Proxies:
+        - ColorProxy: specklepy/objects/proxies/ColorProxy.md
+        - GroupProxy: specklepy/objects/proxies/GroupProxy.md
+        - InstanceProxy: specklepy/objects/proxies/InstanceProxy.md
+        - InstanceDefinitionProxy: specklepy/objects/proxies/InstanceDefinitionProxy.md
+        - LevelProxy: specklepy/objects/proxies/LevelProxy.md
+        - RenderMaterialProxy: specklepy/objects/proxies/RenderMaterialProxy.md
+      - Graph Traversal: specklepy/objects/graph_traversal/traversal.md
+    - Transports: specklepy/transports/transports.md
+    - Serialization: specklepy/serialization/serializer.md
+    - Core API:
+      - Models: specklepy/core/api/models/models.md
+      - Inputs: specklepy/core/api/inputs/inputs.md
+      - Enums: specklepy/core/api/enums.md
+    - Logging:
+      - Exceptions: specklepy/logging/exceptions.md
+  - Speckle Automate:
+    - AutomationContext: speckle_automate/automation_context.md
+    - Runner: speckle_automate/runner.md
+    - Schema: speckle_automate/schema.md

netlify.toml

@@ -0,0 +1,3 @@
+[build]
+  command = "mise run build_docs"
+  publish = "site"

patch_version.py

@@ -1,31 +0,0 @@
-import re
-import sys
-
-
-def patch(tag):
-    print(f"Patching version: {tag}")
-
-    with open("pyproject.toml", "r") as f:
-        lines = f.readlines()
-
-        if "version" not in lines[2]:
-            raise Exception("Invalid pyproject.toml. Could not patch version.")
-
-        lines[2] = f'version = "{tag}"\n'
-        with open("pyproject.toml", "w") as file:
-            file.writelines(lines)
-
-
-def main():
-    if len(sys.argv) < 2:
-        return
-
-    tag = sys.argv[1]
-    if not re.match(r"[0-9]+(\.[0-9]+)*$", tag):
-        raise ValueError(f"Invalid tag provided: {tag}")
-
-    patch(tag)
-
-
-if __name__ == "__main__":
-    main()

pyproject.toml

@@ -1,70 +1,104 @@
-[tool.poetry]
+[project]
+dynamic = ["version"]
+# version = "3.0.0a1"
 name = "specklepy"
-version = "2.9.1"
-description = "The Python SDK for Speckle 2.0"
+description = "The Python SDK for Speckle"
 readme = "README.md"
-authors = ["Speckle Systems <devops@speckle.systems>"]
-license = "Apache-2.0"
-repository = "https://github.com/specklesystems/speckle-py"
-documentation = "https://speckle.guide/dev/py-examples.html"
-homepage = "https://speckle.systems/"
-packages = [
-  { include = "specklepy", from = "src" },
+authors = [{ name = "Speckle Systems", email = "devops@speckle.systems" }]
+license = { text = "Apache-2.0" }
+requires-python = ">=3.10.0, <4.0"
+dependencies = [
+    "appdirs>=1.4.4",
+    "attrs>=24.3.0",
+    "deprecated>=1.2.15",
+    "gql[requests,websockets]>=3.5.0,<4.0.0",
+    "httpx>=0.28.1",
+    "pydantic>=2.10.5",
+    "pydantic-settings>=2.7.1",
+    "ujson>=5.10.0",
 ]
 
+[project.optional-dependencies]
+speckleifc = ["ifcopenshell>=0.8.3.post2"]
 
-[tool.poetry.dependencies]
-python = ">=3.7.2, <4.0"
-pydantic = "^1.9"
-appdirs = "^1.4.4"
-gql = {extras = ["requests", "websockets"], version = "^3.3.0"}
-ujson = "^5.3.0"
-Deprecated = "^1.2.13"
-stringcase = "^1.2.0"
+[dependency-groups]
 
-[tool.poetry.group.dev.dependencies]
-black = "^22.8.0"
-isort = "^5.7.0"
-pytest = "^7.1.3"
-pytest-ordering = "^0.6"
-pytest-cov = "^3.0.0"
-devtools = "^0.8.0"
-pylint = "^2.14.4"
-mypy = "^0.982"
-pre-commit = "^2.20.0"
-commitizen = "^2.38.0"
-ruff = "^0.0.187"
-types-deprecated = "^1.2.9"
-types-ujson = "^5.6.0.0"
-types-requests = "^2.28.11.5"
+dev = [
+    "commitizen>=4.1.0",
+    "devtools>=0.12.2",
+    "hatch>=1.14.0",
+    "hatch-vcs>=0.4.0",
+    "pre-commit>=4.0.1",
+    "pytest>=8.3.4",
+    "pytest-asyncio>=0.25.2",
+    "pytest-cov>=6.0.0",
+    "pytest-ordering>=0.6",
+    "pytest_httpserver >=1.1.3",
+    "ruff==0.9.2",
+    "types-deprecated>=1.2.15.20241117",
+    "types-requests>=2.32.0.20241016",
+    "types-ujson>=5.10.0.20240515",
+]
+docs = [
+    "mkdocs>=1.6.1",
+    "mkdocs-material>=9.6.5",
+    "mkdocstrings>=0.28.1",
+    "mkdocstrings-python>=1.15.0",
+]
 
-[tool.black]
-exclude = '''
-/(
-    \.eggs
-  | \.git
-  | \.hg
-  | \.mypy_cache
-  | \.tox
-  | \.venv
-  | _build
-  | buck-out
-  | build
-  | dist
-)/
-'''
-include = '\.pyi?$'
-line-length = 88
-target-version = ["py37", "py38", "py39", "py310", "py311"]
+[project.urls]
+repository = "https://github.com/specklesystems/specklepy"
+documentation = "https://speckle.guide/dev/py-examples.html"
+homepage = "https://speckle.systems/"
 
+[build-system]
+requires = ["hatchling", "hatch-vcs"]
+build-backend = "hatchling.build"
+
+[tool.hatch.version]
+source = "vcs"
+
+[tool.hatch.build.targets.wheel]
+only-include = ["src", "licenses"]
+sources = ["src"]
+
+[tool.hatch.build.targets.sdist]
+include = ["src", "licenses"]
+
+[tool.hatch.version.raw-options]
+local_scheme = "no-local-version"
 
 [tool.commitizen]
 name = "cz_conventional_commits"
 version = "2.9.2"
 tag_format = "$version"
-[build-system]
-requires = ["poetry-core>=1.0.0"]
-build-backend = "poetry.core.masonry.api"
 
-[tool.isort]
-profile = "black"
+[tool.ruff]
+exclude = [".venv", "**/*.yml"]
+
+[tool.ruff.lint]
+select = [
+    # pycodestyle
+    "E",
+    # Pyflakes
+    "F",
+    # pyupgrade
+    "UP",
+    # flake8-bugbear
+    "B",
+    # flake8-simplify
+    "SIM",
+    # isort
+    "I",
+]
+ignore = ["UP006", "UP007", "UP035"]
+
+[[tool.uv.index]]
+name = "pypi"
+url = "https://pypi.org/simple/"
+publish-url = "https://upload.pypi.org/legacy/"
+
+[[tool.uv.index]]
+name = "test"
+url = "https://test.pypi.org/simple/"
+publish-url = "https://test.pypi.org/legacy/"

src/speckle_automate/__init__.py

@@ -0,0 +1,24 @@
+"""This module contains an SDK for working with Speckle Automate."""
+
+from speckle_automate.automation_context import AutomationContext
+from speckle_automate.runner import execute_automate_function, run_function
+from speckle_automate.schema import (
+    AutomateBase,
+    AutomationResult,
+    AutomationRunData,
+    AutomationStatus,
+    ObjectResultLevel,
+    ResultCase,
+)
+
+__all__ = [
+    "AutomationContext",
+    "AutomateBase",
+    "AutomationStatus",
+    "AutomationResult",
+    "AutomationRunData",
+    "ResultCase",
+    "ObjectResultLevel",
+    "run_function",
+    "execute_automate_function",
+]

src/speckle_automate/automation_context.py

@@ -0,0 +1,532 @@
+"""This module provides an abstraction layer above the Speckle Automate runtime."""
+
+import time
+from dataclasses import dataclass, field
+from pathlib import Path
+from typing import Any, Dict, List, Optional, Union
+
+import httpx
+from gql import gql
+
+from speckle_automate.schema import (
+    AutomateBase,
+    AutomationResult,
+    AutomationRunData,
+    AutomationStatus,
+    ObjectResultLevel,
+    ResultCase,
+)
+from specklepy.api import operations
+from specklepy.api.client import SpeckleClient
+from specklepy.core.api.inputs.model_inputs import CreateModelInput
+from specklepy.core.api.inputs.version_inputs import (
+    CreateVersionInput,
+    MarkReceivedVersionInput,
+)
+from specklepy.core.api.models.current import Model, Version
+from specklepy.logging import metrics
+from specklepy.logging.exceptions import SpeckleException
+from specklepy.objects.base import Base
+from specklepy.transports.memory import MemoryTransport
+from specklepy.transports.server import ServerTransport
+
+
+@dataclass
+class AutomationContext:
+    """A context helper class.
+
+    This class exposes methods to work with the Speckle Automate context inside
+    Speckle Automate functions.
+
+    An instance of AutomationContext is injected into every run of a function.
+    """
+
+    automation_run_data: AutomationRunData
+    speckle_client: SpeckleClient
+    _server_transport: ServerTransport
+    _speckle_token: str
+
+    #: keep a memory transponrt at hand, to speed up things if needed
+    _memory_transport: MemoryTransport = field(default_factory=MemoryTransport)
+
+    #: added for performance measuring
+    _init_time: float = field(default_factory=time.perf_counter)
+    _automation_result: AutomationResult = field(default_factory=AutomationResult)
+
+    @classmethod
+    def initialize(
+        cls, automation_run_data: Union[str, AutomationRunData], speckle_token: str
+    ) -> "AutomationContext":
+        """Bootstrap the AutomateSDK from raw data.
+
+        Todo:
+        ----
+            * bootstrap a structlog logger instance
+            * expose a logger, that ppl can use instead of print
+        """
+        # parse the json value if its not an initialized project data instance
+        automation_run_data = (
+            automation_run_data
+            if isinstance(automation_run_data, AutomationRunData)
+            else AutomationRunData.model_validate_json(automation_run_data)
+        )
+        metrics.set_host_app("automate")
+        speckle_client = SpeckleClient(
+            automation_run_data.speckle_server_url,
+            automation_run_data.speckle_server_url.startswith("https"),
+        )
+        speckle_client.authenticate_with_token(speckle_token)
+        if not speckle_client.account:
+            msg = (
+                f"Could not authenticate to {automation_run_data.speckle_server_url}",
+                "with the provided token",
+            )
+            raise ValueError(msg)
+        server_transport = ServerTransport(
+            automation_run_data.project_id, speckle_client
+        )
+        return cls(automation_run_data, speckle_client, server_transport, speckle_token)
+
+    @property
+    def run_status(self) -> AutomationStatus:
+        """Get the status of the automation run."""
+        return self._automation_result.run_status
+
+    @property
+    def status_message(self) -> Optional[str]:
+        """Get the current status message."""
+        return self._automation_result.status_message
+
+    def elapsed(self) -> float:
+        """Return the elapsed time in seconds since the initialization time."""
+        return time.perf_counter() - self._init_time
+
+    def receive_version(self) -> Base:
+        """Receive the Speckle project version that triggered this automation run."""
+        # TODO: this is a quick hack to keep implementation consistency.
+        # Move to proper receive many versions
+        project_id = self.automation_run_data.project_id
+        version_id = self.automation_run_data.triggers[0].payload.version_id
+        try:
+            version = self.speckle_client.version.get(
+                version_id, self.automation_run_data.project_id
+            )
+        except SpeckleException as err:
+            raise ValueError(
+                f"""Could not receive specified version.
+                Is your environment configured correctly?
+                project_id: {project_id}
+                model_id: {self.automation_run_data.triggers[0].payload.model_id}
+                version_id: {self.automation_run_data.triggers[0].payload.version_id}
+                """
+            ) from err
+
+        if not version.referenced_object:
+            raise Exception(
+                "This version is past the version history limit,",
+                " cannot execute an automation on it",
+            )
+
+        base = operations.receive(
+            version.referenced_object, self._server_transport, self._memory_transport
+        )
+        self.speckle_client.version.received(
+            MarkReceivedVersionInput(
+                version_id=version_id,
+                project_id=project_id,
+                source_application="automate_function",
+            )
+        )
+        # self._closure_tree = base["__closure"]
+        print(
+            f"It took {self.elapsed():.2f} seconds to receive",
+            f" the speckle version {version_id}",
+        )
+        return base
+
+    def create_new_model_in_project(
+        self, model_name: str, model_description: Optional[str] = None
+    ) -> Model:
+        input = CreateModelInput(
+            name=model_name,
+            description=model_description,
+            project_id=self.automation_run_data.project_id,
+        )
+
+        return self.speckle_client.model.create(input)
+
+    def get_model(self, model_id: str) -> Model:
+        """
+        Args:
+            model_id (str): The id of the model to get
+        """
+        return self.speckle_client.model.get(
+            model_id, self.automation_run_data.project_id
+        )
+
+    def create_new_version_in_project(
+        self, root_object: Base, model_id: str, version_message: str = ""
+    ) -> Version:
+        """Save a base model to a new version on the project.
+
+        Args:
+            root_object (Base): The Speckle base object for the new version.
+            model_id (str): Id of model to create the new version on.
+            version_message (str): The message for the new version.
+        """
+
+        matching_trigger = [
+            t
+            for t in self.automation_run_data.triggers
+            if t.payload.model_id == model_id
+        ]
+        if matching_trigger:
+            raise ValueError(
+                f"The target model: {model_id} cannot match the model"
+                f" that triggered this automation:"
+                f" {matching_trigger[0].payload.model_id}"
+            )
+
+        root_object_id = operations.send(
+            root_object,
+            [self._server_transport, self._memory_transport],
+            use_default_cache=False,
+        )
+
+        create_version_input = CreateVersionInput(
+            object_id=root_object_id,
+            model_id=model_id,
+            project_id=self.automation_run_data.project_id,
+            message=version_message,
+            source_application="SpeckleAutomate",
+        )
+        version = self.speckle_client.version.create(create_version_input)
+
+        self._automation_result.result_versions.append(version.id)
+        return version
+
+    @property
+    def context_view(self) -> Optional[str]:
+        return self._automation_result.result_view
+
+    def set_context_view(
+        self,
+        # f"{model_id}@{version_id} or {model_id} "
+        resource_ids: Optional[List[str]] = None,
+        include_source_model_version: bool = True,
+    ) -> None:
+        link_resources = (
+            [
+                f"{t.payload.model_id}@{t.payload.version_id}"
+                for t in self.automation_run_data.triggers
+            ]
+            if include_source_model_version
+            else []
+        )
+        if resource_ids:
+            link_resources.extend(resource_ids)
+        if not link_resources:
+            raise Exception(
+                "We do not have enough resource ids to compose a context view"
+            )
+        self._automation_result.result_view = (
+            f"/projects/{self.automation_run_data.project_id}"
+            f"/models/{','.join(link_resources)}"
+        )
+
+    def report_run_status(self) -> None:
+        """Report the current run status to the project of this automation."""
+        query = gql(
+            """
+            mutation AutomateFunctionRunStatusReport(
+                $projectId: String!
+                $functionRunId: String!
+                $status: AutomateRunStatus!
+                $statusMessage: String
+                $results: JSONObject
+                $contextView: String
+            ){
+                automateFunctionRunStatusReport(input: {
+                    projectId: $projectId
+                    functionRunId: $functionRunId
+                    status: $status
+                    statusMessage: $statusMessage
+                    contextView: $contextView
+                    results: $results
+                })
+            }
+        """
+        )
+        if self.run_status in [AutomationStatus.SUCCEEDED, AutomationStatus.FAILED]:
+            results_dict = self._automation_result.model_dump(by_alias=True)
+            results = {
+                "version": 3,
+                "values": {
+                    "objectResults": results_dict["objectResults"],
+                    "versionResult": results_dict["versionResult"],
+                    "blobIds": self._automation_result.blobs,
+                },
+            }
+        else:
+            results = None
+
+        params = {
+            "projectId": self.automation_run_data.project_id,
+            "functionRunId": self.automation_run_data.function_run_id,
+            "status": self.run_status.value,
+            "statusMessage": self._automation_result.status_message,
+            "results": results,
+            "contextView": self._automation_result.result_view,
+        }
+        print(f"Reporting run status with content: {params}")
+        self.speckle_client.httpclient.execute(query, params)
+
+    def store_file_result(self, file_path: Union[Path, str]) -> str:
+        """Save a file attached to the project of this automation."""
+        path_obj = (
+            Path(file_path).resolve() if isinstance(file_path, str) else file_path
+        )
+
+        class UploadResult(AutomateBase):
+            blob_id: str
+            file_name: str
+            upload_status: int
+
+        class BlobUploadResponse(AutomateBase):
+            upload_results: list[UploadResult]
+
+        if not path_obj.exists():
+            raise ValueError("The given file path doesn't exist")
+
+        files = {path_obj.name: path_obj.open("rb")}
+
+        url = (
+            f"{self.automation_run_data.speckle_server_url}api/stream/"
+            f"{self.automation_run_data.project_id}/blob"
+        )
+        data = (
+            httpx.post(
+                url,
+                files=files,
+                headers={"authorization": f"Bearer {self._speckle_token}"},
+            )
+            .raise_for_status()
+            .json()
+        )
+
+        upload_response = BlobUploadResponse.model_validate(data)
+
+        if len(upload_response.upload_results) != 1:
+            raise ValueError("Expecting one upload result.")
+
+        self._automation_result.blobs.extend(
+            [upload_result.blob_id for upload_result in upload_response.upload_results]
+        )
+
+        return upload_response.upload_results[0].blob_id
+
+    def mark_run_failed(
+        self, status_message: str, version_result: dict[str, Any] | None = None
+    ) -> None:
+        """
+        Mark the current run a failure.
+
+        Args:
+            status_message: Optional message to be displayed.
+            version_result: Optional data object,
+                that will be attached to the run results.
+                The dictionary should be JSON serializable
+        """
+        self._mark_run(AutomationStatus.FAILED, status_message, version_result)
+
+    def mark_run_exception(self, status_message: str) -> None:
+        """Mark the current run a failure."""
+        self._mark_run(AutomationStatus.EXCEPTION, status_message, None)
+
+    def mark_run_success(
+        self, status_message: str | None, version_result: dict[str, Any] | None = None
+    ) -> None:
+        """
+        Mark the current run a success with an optional message.
+
+        Args:
+            status_message: Optional message to be displayed.
+            version_result: Optional data object,
+                that will be attached to the run results.
+                The dictionary should be JSON serializable
+        """
+        self._mark_run(AutomationStatus.SUCCEEDED, status_message, version_result)
+
+    def _mark_run(
+        self,
+        status: AutomationStatus,
+        status_message: str | None,
+        version_result: dict[str, Any] | None,
+    ) -> None:
+        duration = self.elapsed()
+        self._automation_result.status_message = status_message
+        self._automation_result.run_status = status
+        self._automation_result.elapsed = duration
+        self._automation_result.version_result = version_result
+
+        msg = f"Automation run {status.value} after {duration:.2f} seconds."
+        print("\n".join([msg, status_message]) if status_message else msg)
+
+    def attach_error_to_objects(
+        self,
+        category: str,
+        affected_objects: Union[Base, List[Base]],
+        message: Optional[str] = None,
+        metadata: Optional[Dict[str, Any]] = None,
+        visual_overrides: Optional[Dict[str, Any]] = None,
+    ) -> None:
+        """Add a new error case to the run results.
+        Args:
+            category (str): A short tag for the event type.
+            affected_objects (Union[Base, List[Base]]): A single object or a list of
+                objects that are causing the error case.
+            message (Optional[str]): Optional message.
+            metadata: User provided metadata key value pairs
+            visual_overrides: Case specific 3D visual overrides.
+        """
+        self.attach_result_to_objects(
+            ObjectResultLevel.ERROR,
+            category,
+            affected_objects,
+            message,
+            metadata,
+            visual_overrides,
+        )
+
+    def attach_warning_to_objects(
+        self,
+        category: str,
+        affected_objects: Union[Base, List[Base]],
+        message: Optional[str] = None,
+        metadata: Optional[Dict[str, Any]] = None,
+        visual_overrides: Optional[Dict[str, Any]] = None,
+    ) -> None:
+        """Add a new warning case to the run results.
+
+        Args:
+            category (str): A short tag for the event type.
+            affected_objects (Union[Base, List[Base]]): A single object or a list of
+                objects that are causing the warning case.
+            message (Optional[str]): Optional message.
+            metadata: User provided metadata key value pairs
+            visual_overrides: Case specific 3D visual overrides.
+        """
+        self.attach_result_to_objects(
+            ObjectResultLevel.WARNING,
+            category,
+            affected_objects,
+            message,
+            metadata,
+            visual_overrides,
+        )
+
+    def attach_success_to_objects(
+        self,
+        category: str,
+        affected_objects: Union[Base, List[Base]],
+        message: Optional[str] = None,
+        metadata: Optional[Dict[str, Any]] = None,
+        visual_overrides: Optional[Dict[str, Any]] = None,
+    ) -> None:
+        """Add a new success case to the run results.
+
+        Args:
+            category (str): A short tag for the event type.
+            affected_objects (Union[Base, List[Base]]): A single object or a list of
+                objects that are causing the success case.
+            message (Optional[str]): Optional message.
+            metadata: User provided metadata key value pairs
+            visual_overrides: Case specific 3D visual overrides.
+        """
+        self.attach_result_to_objects(
+            ObjectResultLevel.SUCCESS,
+            category,
+            affected_objects,
+            message,
+            metadata,
+            visual_overrides,
+        )
+
+    def attach_info_to_objects(
+        self,
+        category: str,
+        affected_objects: Union[Base, List[Base]],
+        message: Optional[str] = None,
+        metadata: Optional[Dict[str, Any]] = None,
+        visual_overrides: Optional[Dict[str, Any]] = None,
+    ) -> None:
+        """Add a new info case to the run results.
+
+        Args:
+            category (str): A short tag for the event type.
+            affected_objects (Union[Base, List[Base]]): A single object or a list of
+                objects that are causing the info case.
+            message (Optional[str]): Optional message.
+            metadata: User provided metadata key value pairs
+            visual_overrides: Case specific 3D visual overrides.
+        """
+        self.attach_result_to_objects(
+            ObjectResultLevel.INFO,
+            category,
+            affected_objects,
+            message,
+            metadata,
+            visual_overrides,
+        )
+
+    def attach_result_to_objects(
+        self,
+        level: ObjectResultLevel,
+        category: str,
+        affected_objects: Union[Base, List[Base]],
+        message: Optional[str] = None,
+        metadata: Optional[Dict[str, Any]] = None,
+        visual_overrides: Optional[Dict[str, Any]] = None,
+    ) -> None:
+        """Add a new result case to the run results.
+
+        Args:
+            level: Result level.
+            category (str): A short tag for the event type.
+            affected_objects (Union[Base, List[Base]]): A single object or a list of
+                objects that are causing the info case.
+            message (Optional[str]): Optional message.
+            metadata: User provided metadata key value pairs
+            visual_overrides: Case specific 3D visual overrides.
+        """
+        if isinstance(affected_objects, list):
+            if len(affected_objects) < 1:
+                raise ValueError(
+                    f"Need atleast one object to report a(n) {level.value.upper()}"
+                )
+            object_list = affected_objects
+        else:
+            object_list = [affected_objects]
+
+        ids: Dict[str, Optional[str]] = {}
+        for o in object_list:
+            # validate that the Base.id is not None. If its a None, throw an Exception
+            if not o.id:
+                raise Exception(
+                    f"You can only attach {level} results to objects with an id."
+                )
+            ids[o.id] = o.applicationId
+        print(
+            f"Created new {level.value.upper()}"
+            f" category: {category} caused by: {message}"
+        )
+        self._automation_result.object_results.append(
+            ResultCase(
+                category=category,
+                level=level,
+                object_app_ids=ids,
+                message=message,
+                metadata=metadata,
+                visual_overrides=visual_overrides,
+            )
+        )

src/speckle_automate/fixtures.py

@@ -0,0 +1,144 @@
+"""Some useful helpers for working with automation data."""
+
+import pytest
+from gql import gql
+from pydantic import Field
+from pydantic_settings import BaseSettings, SettingsConfigDict
+
+from speckle_automate.schema import AutomationRunData, TestAutomationRunData
+from specklepy.api.client import SpeckleClient
+
+
+class TestAutomationEnvironment(BaseSettings):
+    """Get known environment variables from local `.env` file"""
+
+    model_config = SettingsConfigDict(
+        env_file=".env",
+        env_file_encoding="utf-8",
+        env_prefix="speckle_",
+        extra="ignore",
+    )
+
+    token: str = Field()
+    server_url: str = Field()
+    project_id: str = Field()
+    automation_id: str = Field()
+
+
+@pytest.fixture()
+def test_automation_environment() -> TestAutomationEnvironment:
+    return TestAutomationEnvironment()
+
+
+@pytest.fixture()
+def test_automation_token(
+    test_automation_environment: TestAutomationEnvironment,
+) -> str:
+    """Provide a speckle token for the test suite."""
+
+    return test_automation_environment.token
+
+
+@pytest.fixture()
+def speckle_client(
+    test_automation_environment: TestAutomationEnvironment,
+) -> SpeckleClient:
+    """Initialize a SpeckleClient for testing."""
+    speckle_client = SpeckleClient(
+        test_automation_environment.server_url,
+        test_automation_environment.server_url.startswith("https"),
+    )
+    speckle_client.authenticate_with_token(test_automation_environment.token)
+    return speckle_client
+
+
+def create_test_automation_run(
+    speckle_client: SpeckleClient, project_id: str, test_automation_id: str
+) -> TestAutomationRunData:
+    """Create test run to report local test results to"""
+
+    query = gql(
+        """
+        mutation CreateTestRun(
+            $projectId: ID!,
+            $automationId: ID!
+        ) {
+            projectMutations {
+                automationMutations(projectId: $projectId) {
+                    createTestAutomationRun(automationId: $automationId) {
+                        automationRunId
+                        functionRunId
+                        triggers {
+                            payload {
+                                modelId
+                                versionId
+                            }
+                            triggerType
+                        }
+                    }
+                }
+            }
+        }
+        """
+    )
+
+    params = {"automationId": test_automation_id, "projectId": project_id}
+
+    result = speckle_client.httpclient.execute(query, params)
+
+    print(result)
+
+    return TestAutomationRunData.model_validate(
+        result["projectMutations"]["automationMutations"]["createTestAutomationRun"]
+    )
+
+
+@pytest.fixture()
+def test_automation_run(
+    speckle_client: SpeckleClient,
+    test_automation_environment: TestAutomationEnvironment,
+) -> TestAutomationRunData:
+    return create_test_automation_run(
+        speckle_client,
+        test_automation_environment.project_id,
+        test_automation_environment.automation_id,
+    )
+
+
+def create_test_automation_run_data(
+    speckle_client: SpeckleClient,
+    test_automation_environment: TestAutomationEnvironment,
+) -> AutomationRunData:
+    """Create automation run data for a new run for a given test automation"""
+
+    test_automation_run_data = create_test_automation_run(
+        speckle_client,
+        test_automation_environment.project_id,
+        test_automation_environment.automation_id,
+    )
+
+    return AutomationRunData(
+        project_id=test_automation_environment.project_id,
+        speckle_server_url=test_automation_environment.server_url,
+        automation_id=test_automation_environment.automation_id,
+        automation_run_id=test_automation_run_data.automation_run_id,
+        function_run_id=test_automation_run_data.function_run_id,
+        triggers=test_automation_run_data.triggers,
+    )
+
+
+@pytest.fixture()
+def test_automation_run_data(
+    speckle_client: SpeckleClient,
+    test_automation_environment: TestAutomationEnvironment,
+) -> AutomationRunData:
+    return create_test_automation_run_data(speckle_client, test_automation_environment)
+
+
+__all__ = [
+    "test_automation_environment",
+    "test_automation_token",
+    "speckle_client",
+    "test_automation_run",
+    "test_automation_run_data",
+]

src/speckle_automate/runner.py

@@ -0,0 +1,194 @@
+"""Function execution module.
+
+Provides mechanisms to execute any function,
+ that conforms to the AutomateFunction "interface"
+"""
+
+import json
+import sys
+import traceback
+from pathlib import Path
+from typing import Callable, Optional, Tuple, TypeVar, Union, overload
+
+from pydantic import create_model
+from pydantic.json_schema import GenerateJsonSchema
+
+from speckle_automate.automation_context import AutomationContext
+from speckle_automate.schema import AutomateBase, AutomationRunData, AutomationStatus
+
+T = TypeVar("T", bound=AutomateBase)
+
+AutomateFunction = Callable[[AutomationContext, T], None]
+AutomateFunctionWithoutInputs = Callable[[AutomationContext], None]
+
+
+def _read_input_data(inputs_location: str) -> str:
+    input_path = Path(inputs_location)
+    if not input_path.exists():
+        raise ValueError(f"Cannot find the function inputs file at {input_path}")
+
+    return input_path.read_text()
+
+
+def _parse_input_data(
+    input_location: str, input_schema: Optional[type[T]]
+) -> Tuple[AutomationRunData, Optional[T], str]:
+    input_json_string = _read_input_data(input_location)
+
+    class FunctionRunData(AutomateBase):
+        speckle_token: str
+        automation_run_data: AutomationRunData
+        function_inputs: None = None
+
+    parser_model = FunctionRunData
+
+    if input_schema:
+        parser_model = create_model(
+            "FunctionRunDataWithInputs",
+            function_inputs=(input_schema, ...),
+            __base__=FunctionRunData,
+        )
+
+    input_data = parser_model.model_validate_json(input_json_string)
+    return (
+        input_data.automation_run_data,
+        input_data.function_inputs,
+        input_data.speckle_token,
+    )
+
+
+@overload
+def execute_automate_function(
+    automate_function: AutomateFunction[T],
+    input_schema: type[T],
+) -> None: ...
+
+
+@overload
+def execute_automate_function(
+    automate_function: AutomateFunctionWithoutInputs,
+) -> None: ...
+
+
+class AutomateGenerateJsonSchema(GenerateJsonSchema):
+    def generate(self, schema, mode="validation"):
+        json_schema = super().generate(schema, mode=mode)
+        json_schema["$schema"] = self.schema_dialect
+        return json_schema
+
+
+def execute_automate_function(
+    automate_function: Union[AutomateFunction[T], AutomateFunctionWithoutInputs],
+    input_schema: Optional[type[T]] = None,
+):
+    """Runs the provided automate function with the input schema."""
+    # first arg is the python file name, we do not need that
+    args = sys.argv[1:]
+
+    if len(args) != 2:
+        raise ValueError("Incorrect number of arguments specified need 2")
+
+    # we rely on a command name convention to decide what to do.
+    # this is here, so that the function authors do not see any of this
+    command, argument = args
+
+    if command == "generate_schema":
+        path = Path(argument)
+        schema = json.dumps(
+            input_schema.model_json_schema(
+                by_alias=True, schema_generator=AutomateGenerateJsonSchema
+            )
+            if input_schema
+            else {}
+        )
+        path.write_text(schema)
+
+    elif command == "run":
+        automation_run_data, function_inputs, speckle_token = _parse_input_data(
+            argument, input_schema
+        )
+
+        automation_context = AutomationContext.initialize(
+            automation_run_data, speckle_token
+        )
+
+        if function_inputs:
+            automation_context = run_function(
+                automation_context,
+                automate_function,  # type: ignore
+                function_inputs,  # type: ignore
+            )
+
+        else:
+            automation_context = AutomationContext.initialize(
+                automation_run_data, speckle_token
+            )
+            automation_context = run_function(
+                automation_context,
+                automate_function,  # type: ignore
+            )
+
+        # if we've gotten this far,
+        # the execution should technically be completed as expected
+        # thus exiting with 0 is the schemantically correct thing to do
+        exit_code = (
+            1 if automation_context.run_status == AutomationStatus.EXCEPTION else 0
+        )
+        exit(exit_code)
+
+    else:
+        raise NotImplementedError(f"Command: '{command}' is not supported.")
+
+
+@overload
+def run_function(
+    automation_context: AutomationContext,
+    automate_function: AutomateFunction[T],
+    inputs: T,
+) -> AutomationContext: ...
+
+
+@overload
+def run_function(
+    automation_context: AutomationContext,
+    automate_function: AutomateFunctionWithoutInputs,
+) -> AutomationContext: ...
+
+
+def run_function(
+    automation_context: AutomationContext,
+    automate_function: Union[AutomateFunction[T], AutomateFunctionWithoutInputs],
+    inputs: Optional[T] = None,
+) -> AutomationContext:
+    """Run the provided function with the automate sdk context."""
+    automation_context.report_run_status()
+
+    try:
+        # avoiding complex type gymnastics here on the internals.
+        # the external type overloads make this correct
+        if inputs:
+            automate_function(automation_context, inputs)  # type: ignore
+        else:
+            automate_function(automation_context)  # type: ignore
+
+        # the function author forgot to mark the function success
+        if automation_context.run_status not in [
+            AutomationStatus.FAILED,
+            AutomationStatus.SUCCEEDED,
+            AutomationStatus.EXCEPTION,
+        ]:
+            automation_context.mark_run_success(
+                "WARNING: Automate assumed a success status,"
+                " but it was not marked as so by the function."
+            )
+    except Exception:
+        trace = traceback.format_exc()
+        print(trace)
+        automation_context.mark_run_exception(
+            "Function error. Check the automation run logs for details."
+        )
+    finally:
+        if not automation_context.context_view:
+            automation_context.set_context_view()
+        automation_context.report_run_status()
+    return automation_context

src/speckle_automate/schema.py

@@ -0,0 +1,99 @@
+""""""
+
+from enum import Enum
+from typing import Any, Literal
+
+from pydantic import BaseModel, ConfigDict, Field
+from pydantic.alias_generators import to_camel
+
+
+class AutomateBase(BaseModel):
+    """Use this class as a base model for automate related DTO."""
+
+    model_config = ConfigDict(alias_generator=to_camel, populate_by_name=True)
+
+
+class VersionCreationTriggerPayload(AutomateBase):
+    """Represents the version creation trigger payload."""
+
+    model_id: str
+    version_id: str
+
+
+class VersionCreationTrigger(AutomateBase):
+    """Represents a single version creation trigger for the automation run."""
+
+    trigger_type: Literal["versionCreation"]
+    payload: VersionCreationTriggerPayload
+
+
+class AutomationRunData(BaseModel):
+    """Values of the project / model that triggered the run of this function."""
+
+    project_id: str
+    speckle_server_url: str
+    automation_id: str
+    automation_run_id: str
+    function_run_id: str
+
+    triggers: list[VersionCreationTrigger]
+
+    model_config = ConfigDict(
+        alias_generator=to_camel, populate_by_name=True, protected_namespaces=()
+    )
+
+
+class TestAutomationRunData(BaseModel):
+    """Values of the run created in the test automation for local test results."""
+
+    automation_run_id: str
+    function_run_id: str
+
+    triggers: list[VersionCreationTrigger]
+
+    model_config = ConfigDict(
+        alias_generator=to_camel, populate_by_name=True, protected_namespaces=()
+    )
+
+
+class AutomationStatus(str, Enum):
+    """Set the status of the automation."""
+
+    INITIALIZING = "INITIALIZING"
+    RUNNING = "RUNNING"
+    FAILED = "FAILED"
+    SUCCEEDED = "SUCCEEDED"
+    EXCEPTION = "EXCEPTION"
+
+
+class ObjectResultLevel(str, Enum):
+    """Possible status message levels for object reports."""
+
+    SUCCESS = "SUCCESS"
+    INFO = "INFO"
+    WARNING = "WARNING"
+    ERROR = "ERROR"
+
+
+class ResultCase(AutomateBase):
+    """A result case."""
+
+    category: str
+    level: ObjectResultLevel
+    object_app_ids: dict[str, str | None]
+    message: str | None
+    metadata: dict[str, Any] | None
+    visual_overrides: dict[str, Any] | None
+
+
+class AutomationResult(AutomateBase):
+    """Schema accepted by the Speckle server as a result for an automation run."""
+
+    elapsed: float = 0
+    result_view: str | None = None
+    result_versions: list[str] = Field(default_factory=list)
+    blobs: list[str] = Field(default_factory=list)
+    run_status: AutomationStatus = AutomationStatus.RUNNING
+    status_message: str | None = None
+    object_results: list[ResultCase] = Field(default_factory=list)
+    version_result: dict[str, Any] | None = None

src/speckleifc/__main__.py

@@ -0,0 +1,64 @@
+import json
+import time
+import traceback
+from argparse import ArgumentParser
+from os import getenv
+
+from speckleifc.main import open_and_convert_file
+from specklepy.core.api.client import SpeckleClient
+from specklepy.logging import metrics
+
+
+def cmd_line_import() -> None:
+    parser = ArgumentParser(
+        prog="speckleifc",
+        description="imports a file",
+    )
+    parser.add_argument("file_path")
+    parser.add_argument("output_path")
+    parser.add_argument("project_id")
+    parser.add_argument("version_message")
+    parser.add_argument("model_ingestion_id")
+    # parser.add_argument("model_name")
+    # parser.add_argument("region_name")
+
+    args = parser.parse_args()
+
+    TOKEN = getenv("USER_TOKEN")
+    assert TOKEN is not None
+    SERVER_URL = getenv("SPECKLE_SERVER_URL") or "http://127.0.0.1:3000"
+
+    metrics.set_host_app(
+        "ifc",
+    )
+
+    client: SpeckleClient | None = None
+
+    try:
+        client = SpeckleClient(SERVER_URL, use_ssl=not SERVER_URL.startswith("http://"))
+        client.authenticate_with_token(TOKEN)
+        project = client.project.get(args.project_id)
+
+        version = open_and_convert_file(
+            args.file_path,
+            project,
+            args.version_message,
+            args.model_ingestion_id,
+            client,
+        )
+        with open(args.output_path, "w") as f:
+            json.dump({"success": True, "commitId": version.id}, f)
+    except Exception as e:
+        stack_trace = traceback.format_exc()
+        error_msg = f"IFC Importer failed with exception:\n{stack_trace}"
+        print(error_msg)
+
+        # Write error result
+        with open(args.output_path, "w") as f:
+            json.dump({"success": False, "error": str(e)}, f)
+
+
+if __name__ == "__main__":
+    start = time.time()
+    cmd_line_import()
+    print(f"Total time (including cleanup): {(time.time() - start) * 1000}ms")

src/speckleifc/converter/data_object_converter.py

@@ -0,0 +1,35 @@
+from typing import cast
+
+from ifcopenshell.entity_instance import entity_instance
+
+from speckleifc.property_extraction import extract_properties
+from specklepy.objects.base import Base
+from specklepy.objects.data_objects import DataObject
+
+
+def data_object_to_speckle(
+    display_value: list[Base],
+    step_element: entity_instance,
+    children: list[Base],
+    current_storey: str | None = None,
+) -> DataObject:
+    guid = cast(str, step_element.GlobalId)
+    name = cast(str, step_element.Name or guid)
+
+    properties = extract_properties(step_element)
+
+    # Add building storey information if available and not a building storey itself
+    if current_storey and not step_element.is_a("IfcBuildingStorey"):
+        properties["Building Storey"] = current_storey
+
+    data_object = DataObject(
+        applicationId=guid,
+        properties=properties,
+        name=name or guid,
+        displayValue=display_value,
+    )
+
+    data_object["@elements"] = children
+    data_object["ifcType"] = step_element.is_a()
+
+    return data_object

src/speckleifc/converter/geometry_converter.py

@@ -0,0 +1,130 @@
+from collections import defaultdict
+from collections.abc import Sequence
+from typing import cast
+
+from ifcopenshell.ifcopenshell_wrapper import (
+    Triangulation,
+    colour,
+    style,
+)
+
+from speckleifc.proxy_managers.render_material_proxy_manager import (
+    RenderMaterialProxyManager,
+)
+from specklepy.objects.base import Base
+from specklepy.objects.geometry import Mesh
+from specklepy.objects.other import RenderMaterial
+
+
+def geometry_to_speckle(
+    geometry: Triangulation, render_material_manager: RenderMaterialProxyManager
+) -> list[Base]:
+    materials = cast(Sequence[style], geometry.materials)
+    MESH_COUNT = max(len(materials), 1)
+
+    material_ids = cast(Sequence[int], geometry.material_ids)
+    faces = cast(Sequence[int], geometry.faces)
+    verts = cast(Sequence[float], geometry.verts)
+    normals = cast(Sequence[float], geometry.normals)
+
+    FACE_COUNT = len(material_ids)
+
+    if len(faces) != FACE_COUNT * 3 or FACE_COUNT == 0:
+        # Not really expected, but occasionally some meshes fail to triangulate
+        return []
+
+    mapped_meshes = _pre_alloc_mesh_lists(geometry, material_ids, MESH_COUNT)
+    for i, mesh in enumerate(mapped_meshes):
+        material = _material_to_speckle(materials[i])
+        render_material_manager.add_mesh_material_mapping(material, mesh)
+
+    mapped_faces_pointers = [0] * MESH_COUNT
+    mapped_vertices_pointers = [0] * MESH_COUNT
+    mapped_index_counters = [0] * MESH_COUNT
+
+    i = 0
+    face_index = 0
+    while i < FACE_COUNT:
+        mesh_index = material_ids[i]
+        mesh: Mesh = mapped_meshes[mesh_index]
+
+        face_ptr = mapped_faces_pointers[mesh_index]
+        vert_ptr = mapped_vertices_pointers[mesh_index]
+
+        # Add triangle
+        mesh.faces[face_ptr] = 3
+        for j in range(3):
+            # Add vert
+            mesh.faces[face_ptr + 1 + j] = mapped_index_counters[mesh_index] + j
+            vert_index = faces[face_index + j] * 3
+            mapped_vert_offset = vert_ptr + (j * 3)
+
+            mesh.vertices[mapped_vert_offset] = verts[vert_index]
+            mesh.vertices[mapped_vert_offset + 1] = verts[vert_index + 1]
+            mesh.vertices[mapped_vert_offset + 2] = verts[vert_index + 2]
+
+            mesh.vertexNormals[mapped_vert_offset] = normals[vert_index]
+            mesh.vertexNormals[mapped_vert_offset + 1] = normals[vert_index + 1]
+            mesh.vertexNormals[mapped_vert_offset + 2] = normals[vert_index + 2]
+
+        i += 1
+        face_index += 3  # number of items in the faces list we just jumped over
+
+        mapped_index_counters[mesh_index] += (
+            3  # number of verts we just added to the mesh.vertices i.e. the next index
+        )
+        mapped_faces_pointers[mesh_index] += (
+            4  # number of item's we've just added to the mesh.faces list
+        )
+        mapped_vertices_pointers[mesh_index] += (
+            9  # number of item's we've just added to the mesh.vertices list
+        )
+
+    return mapped_meshes  # type: ignore
+
+
+def _material_to_speckle(material: style) -> RenderMaterial:
+    return RenderMaterial(
+        applicationId=material.calc_hash(),
+        name=material.name,
+        diffuse=_color_to_argb(material.diffuse),
+        opacity=1 - material.transparency if material.has_transparency() else 1,
+    )
+
+
+def _color_to_argb(colour: colour) -> int:
+    # Clamp values to [0, 1] and convert to 0–255
+    a_int = 255
+    r_int = max(0, min(255, int(round(colour.r() * 255))))
+    g_int = max(0, min(255, int(round(colour.g() * 255))))
+    b_int = max(0, min(255, int(round(colour.b() * 255))))
+
+    return (a_int << 24) | (r_int << 16) | (g_int << 8) | b_int
+
+
+def _pre_alloc_mesh_lists(
+    geometry: Triangulation, material_ids: Sequence[int], MESH_COUNT: int
+) -> list[Mesh]:
+    """
+    This is a performance optimisation to pre-size the lists
+    since we're expecting potential hundreds of thousands of verts in a single model
+    This is very much in the hot path, so worth the extra bit of convoluted logic
+    """
+    appId = cast(str, geometry.id)
+
+    material_face_counts = defaultdict(int)
+    for mat_id in material_ids:
+        material_face_counts[mat_id] += 1
+
+    meshes = []
+    for mat_id in range(MESH_COUNT):
+        face_count = material_face_counts.get(mat_id, 0)
+        mesh = Mesh(
+            units="m",
+            vertices=[-1] * (face_count * 9),
+            vertexNormals=[-1] * (face_count * 9),
+            faces=[-1] * (face_count * 4),  # 1 marker + 3 vertex indices
+            applicationId=f"{appId}_mat{mat_id}",
+        )
+        meshes.append(mesh)
+    return meshes

src/speckleifc/converter/project_converter.py

@@ -0,0 +1,23 @@
+from typing import cast
+
+from ifcopenshell.entity_instance import entity_instance
+
+from specklepy.objects.base import Base
+from specklepy.objects.models.collections.collection import Collection
+
+
+def project_to_speckle(
+    step_element: entity_instance, children: list[Base]
+) -> Collection:
+    guid = cast(str, step_element.GlobalId)
+    name = cast(str, step_element.Name or step_element.LongName or guid)
+
+    project = Collection(applicationId=guid, name=name, elements=children)
+
+    project["ifcType"] = step_element.is_a()
+    project["description"] = step_element.Description
+    project["objectType"] = step_element.ObjectType
+    project["longName"] = step_element.LongName
+    project["phase"] = step_element.Phase
+
+    return project

src/speckleifc/converter/spatial_element_converter.py

@@ -0,0 +1,54 @@
+from typing import cast
+
+from ifcopenshell.entity_instance import entity_instance
+
+from speckleifc.property_extraction import extract_properties
+from specklepy.objects.base import Base
+from specklepy.objects.data_objects import DataObject
+from specklepy.objects.models.collections.collection import Collection
+
+
+def spatial_element_to_speckle(
+    display_value: list[Base],
+    step_element: entity_instance,
+    relational_children: list[Base],
+    current_storey: str | None = None,
+) -> Collection:
+    direct_geometry = _convert_as_data_object(
+        display_value, step_element, current_storey
+    )
+    all_children = [direct_geometry] + relational_children
+
+    guid = cast(str, step_element.GlobalId)
+    name = cast(str, step_element.Name or step_element.LongName or guid)
+
+    data_object = Collection(applicationId=guid, name=name, elements=all_children)
+    data_object["ifcType"] = step_element.is_a()
+
+    return data_object
+
+
+def _convert_as_data_object(
+    display_value: list[Base],
+    step_element: entity_instance,
+    current_storey: str | None = None,
+) -> DataObject:
+    guid = cast(str, step_element.GlobalId)
+    name = cast(str, step_element.Name or step_element.LongName or guid)
+
+    properties = extract_properties(step_element)
+
+    # Add building storey information if available and not a building storey itself
+    if current_storey and not step_element.is_a("IfcBuildingStorey"):
+        properties["Building Storey"] = current_storey
+
+    data_object = DataObject(
+        applicationId=guid,
+        properties=properties,
+        name=name,
+        displayValue=display_value,
+    )
+
+    data_object["ifcType"] = step_element.is_a()
+
+    return data_object

src/speckleifc/ifc_geometry_processing.py

@@ -0,0 +1,54 @@
+import multiprocessing
+
+from ifcopenshell import SchemaError, file, ifcopenshell_wrapper, open, sqlite
+from ifcopenshell.geom import iterator, settings
+
+from specklepy.logging.exceptions import SpeckleException
+
+
+def _create_iterator_settings() -> settings:
+    ifc_settings = settings()
+    # triangles for now, speckle does support n-gons, but may be less performant
+    ifc_settings.set("triangulation-type", ifcopenshell_wrapper.TRIANGLE_MESH)
+    # no need to weld verts
+    ifc_settings.set("weld-vertices", False)
+    #
+    ifc_settings.set("use-world-coords", False)
+    ifc_settings.set("permissive-shape-reuse", True)
+
+    # Tiny performance improvement,
+    ifc_settings.set("no-wire-intersection-check", True)
+    # Rendermaterials inherit the material names instead of type + unique id
+    ifc_settings.set("use-material-names", True)
+
+    # IfcOpenshell defaults to 0.001mm here, which leads to very dense meshes.
+    # lowering the mesh quality a bit here leads to meshes
+    # that are still much higher quality than webifc
+
+    # We still need to experiment with the affect on memory usage
+    # It may be desirable to lower this further, and increase the angular deflection
+    # to compensate. This would allow large meshes to be lower quality,
+    # while keeping small meshes relatively similar.
+    ifc_settings.set("mesher-linear-deflection", 0.2)
+
+    return ifc_settings
+
+
+def open_ifc(file_path: str) -> file:
+    try:
+        ifc_file = open(file_path)
+    except SchemaError:
+        raise
+    except FileNotFoundError:
+        raise
+    except Exception as ex:
+        raise SpeckleException("File could not be opened as an IFC file") from ex
+
+    if isinstance(ifc_file, file):
+        return ifc_file
+    else:
+        raise SpeckleException(f"file at {file_path} is not a compatible ifc file type")
+
+
+def create_geometry_iterator(ifc_file: file | sqlite) -> iterator:
+    return iterator(_create_iterator_settings(), ifc_file, multiprocessing.cpu_count())

src/speckleifc/ifc_openshell_helpers.py

@@ -0,0 +1,31 @@
+from collections.abc import Generator, Iterable
+from itertools import chain
+from typing import cast
+
+from ifcopenshell.entity_instance import entity_instance
+
+
+def get_children(step_element: entity_instance) -> Generator[entity_instance]:
+    yield from chain(
+        get_spatial_children(step_element), get_aggregate_children(step_element)
+    )
+
+
+def get_spatial_children(step_element: entity_instance) -> Generator[entity_instance]:
+    spatial_relations = cast(
+        Iterable[entity_instance] | None,
+        getattr(step_element, "ContainsElements", None),
+    )
+    if spatial_relations is not None:
+        for relation in spatial_relations:
+            yield from cast(Iterable[entity_instance], relation.RelatedElements)
+
+
+def get_aggregate_children(step_element: entity_instance) -> Generator[entity_instance]:
+    aggregate_relations = cast(
+        Iterable[entity_instance] | None,
+        getattr(step_element, "IsDecomposedBy", None),
+    )
+    if aggregate_relations is not None:
+        for relation in aggregate_relations:
+            yield from cast(Iterable[entity_instance], relation.RelatedObjects)

src/speckleifc/importer.py

@@ -0,0 +1,207 @@
+import time
+from dataclasses import dataclass, field
+from typing import List, cast
+
+from ifcopenshell.entity_instance import entity_instance
+from ifcopenshell.geom import file
+from ifcopenshell.ifcopenshell_wrapper import Triangulation, TriangulationElement
+
+from speckleifc.converter.data_object_converter import data_object_to_speckle
+from speckleifc.converter.geometry_converter import geometry_to_speckle
+from speckleifc.converter.project_converter import project_to_speckle
+from speckleifc.converter.spatial_element_converter import spatial_element_to_speckle
+from speckleifc.ifc_geometry_processing import create_geometry_iterator
+from speckleifc.ifc_openshell_helpers import get_children
+from speckleifc.proxy_managers.instance_proxy_manager import InstanceProxyManager
+from speckleifc.proxy_managers.level_proxy_manager import LevelProxyManager
+from speckleifc.proxy_managers.render_material_proxy_manager import (
+    RenderMaterialProxyManager,
+)
+from specklepy.logging.exceptions import SpeckleException
+from specklepy.objects import Base
+from specklepy.objects.data_objects import DataObject
+from specklepy.objects.models.collections.collection import Collection
+from specklepy.objects.proxies import InstanceProxy
+
+
+@dataclass
+class ImportJob:
+    ifc_file: file
+
+    _render_material_manager: RenderMaterialProxyManager = field(
+        default_factory=lambda: RenderMaterialProxyManager()
+    )
+    _level_proxy_manager: LevelProxyManager = field(
+        default_factory=lambda: LevelProxyManager()
+    )
+    _instance_proxy_manager: InstanceProxyManager = field(
+        default_factory=lambda: InstanceProxyManager()
+    )
+    geometries_count: int = 0
+    geometries_used: int = 0
+    _current_storey_data_object: DataObject | None = field(default=None, init=False)
+
+    _display_value_cache: dict[int, list[Base]] = field(default_factory=dict)
+    """Maps an instance step ID to a list of instances"""
+
+    def convert_element(self, step_element: entity_instance) -> Base:
+        try:
+            return self._convert_element(step_element)
+        except SpeckleException:
+            raise
+        except Exception as ex:
+            raise SpeckleException(
+                f"Failed to convert {step_element.is_a()} #{step_element.id()}"
+            ) from ex
+
+    def _convert_element(self, step_element: entity_instance) -> Base:
+        # Track current storey context and store for level proxies
+        previous_storey_data_object = self._current_storey_data_object
+        if step_element.is_a("IfcBuildingStorey"):
+            # Convert the building storey to a DataObject for the level proxy
+            storey_display_value = self._display_value_cache.get(step_element.id(), [])
+            self._current_storey_data_object = data_object_to_speckle(
+                storey_display_value, step_element, []
+            )
+
+        children = self._convert_children(step_element)
+        id = step_element.id()
+        display_value = self._display_value_cache.get(id, [])
+
+        if display_value:
+            self.geometries_used += 1
+
+        # Extract current storey name from DataObject if available
+        current_storey_name = (
+            self._current_storey_data_object.name
+            if self._current_storey_data_object
+            else None
+        )
+
+        if step_element.is_a("IfcProject"):
+            result = project_to_speckle(step_element, children)
+        elif step_element.is_a("IfcSpatialStructureElement"):
+            result = spatial_element_to_speckle(
+                display_value, step_element, children, current_storey_name
+            )
+        else:
+            result = data_object_to_speckle(
+                display_value, step_element, children, current_storey_name
+            )
+            # Associate non-spatial elements with current storey for level proxies
+            if self._current_storey_data_object is not None and result.applicationId:
+                self._level_proxy_manager.add_element_level_mapping(
+                    self._current_storey_data_object, result.applicationId
+                )
+
+        # Restore previous storey context
+        self._current_storey_data_object = previous_storey_data_object
+        return result
+
+    def _convert_children(self, step_element: entity_instance) -> list[Base]:
+        return [
+            self.convert_element(i)
+            for i in get_children(step_element)
+            if self._should_convert(i)
+        ]
+
+    @staticmethod
+    def _should_convert(step_element: entity_instance) -> bool:
+        # We only consider IfcRoot objects convertible
+        # This is the super class for root level entities that have a GUID...
+        # This will ignore some types like IfcGridAxis
+        s = step_element.is_a("IfcRoot")
+        if not s:
+            print(
+                f"Skipping #{step_element.id()} because it's type ({step_element.is_a()}) it not an IfcRoot"  # noqa: E501
+            )
+        return s
+
+    def convert(self) -> Base:
+        start = time.time()
+        self.pre_process_geometry()
+        print(f"Geometry conversion complete after {(time.time() - start) * 1000}ms")
+        print(f"Created {self.geometries_count} geometries")
+
+        start = time.time()
+        root = self._convert_project_tree()
+        print(f"Object tree conversion complete after {(time.time() - start) * 1000}ms")
+        print(f"Used {self.geometries_used} geometries")
+        return root
+
+    def pre_process_geometry(self) -> None:
+        iterator = create_geometry_iterator(self.ifc_file)
+        if not iterator.initialize():
+            raise SpeckleException("Failed to find any geometry in file")
+        self.geometries_count = 0
+        while True:
+            shape = cast(TriangulationElement, iterator.get())
+            self.geometries_count += 1
+            id = cast(int, shape.id)
+            try:
+                display_value = self._create_display_value(shape)
+                self._display_value_cache[id] = display_value
+            except Exception as ex:
+                raise SpeckleException(
+                    f"Failed to convert geometry with id: {id}"
+                ) from ex
+            if not iterator.next():
+                break
+
+    def _create_display_value(self, shape: TriangulationElement) -> List[Base]:
+        geometry = cast(Triangulation, shape.geometry)
+        display_value_geometry = geometry_to_speckle(
+            geometry, self._render_material_manager
+        )
+
+        definition_ids = self._instance_proxy_manager.add_display_value_definitions(
+            display_value_geometry
+        )
+        matrix = shape.transformation.matrix
+        transposed = [
+            matrix[0], matrix[4], matrix[8], matrix[12],
+            matrix[1], matrix[5], matrix[9], matrix[13],
+            matrix[2], matrix[6], matrix[10], matrix[14],
+            matrix[3], matrix[7], matrix[11], matrix[15],
+        ]  # fmt: skip
+
+        return [
+            cast(
+                Base,
+                InstanceProxy(
+                    units="m",
+                    definitionId=definition_id,
+                    transform=transposed,
+                    maxDepth=0,
+                    applicationId=f"{shape.guid}:{definition_id}",
+                ),
+            )
+            for definition_id in definition_ids
+        ]
+
+    def _convert_project_tree(self) -> Base:
+        projects = self.ifc_file.by_type("IfcProject", False)
+        if len(projects) != 1:
+            raise SpeckleException("Expected exactly one IfcProject in file")
+        project = projects[0]
+
+        tree = self.convert_element(project)
+        if not isinstance(tree, Collection):
+            raise TypeError("Expected root object to convert to a Collection")
+
+        tree["renderMaterialProxies"] = list(
+            self._render_material_manager.render_material_proxies.values()
+        )
+        tree["levelProxies"] = list(self._level_proxy_manager.level_proxies.values())
+        tree["instanceDefinitionProxies"] = list(
+            self._instance_proxy_manager.instance_definition_proxies.values()
+        )
+        tree.elements.append(
+            Collection(
+                name="definitionGeometry",
+                elements=list(self._instance_proxy_manager.instance_geometry.values()),
+            )
+        )
+        tree["version"] = 3
+
+        return tree

src/speckleifc/licenses/IfcOpenShell-GPL-3.0.txt

@@ -0,0 +1,621 @@
+                    GNU GENERAL PUBLIC LICENSE
+                       Version 3, 29 June 2007
+
+ Copyright (C) 2007 Free Software Foundation, Inc. <https://fsf.org/>
+ Everyone is permitted to copy and distribute verbatim copies
+ of this license document, but changing it is not allowed.
+
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+
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+  If the Program specifies that a proxy can decide which future
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+public statement of acceptance of a version permanently authorizes you
+to choose that version for the Program.
+
+  Later license versions may give you additional or different
+permissions.  However, no additional obligations are imposed on any
+author or copyright holder as a result of your choosing to follow a
+later version.
+
+  15. Disclaimer of Warranty.
+
+  THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY
+APPLICABLE LAW.  EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT
+HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY
+OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO,
+THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
+PURPOSE.  THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM
+IS WITH YOU.  SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF
+ALL NECESSARY SERVICING, REPAIR OR CORRECTION.
+
+  16. Limitation of Liability.
+
+  IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING
+WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS
+THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY
+GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE
+USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF
+DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD
+PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS),
+EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF
+SUCH DAMAGES.
+
+  17. Interpretation of Sections 15 and 16.
+
+  If the disclaimer of warranty and limitation of liability provided
+above cannot be given local legal effect according to their terms,
+reviewing courts shall apply local law that most closely approximates
+an absolute waiver of all civil liability in connection with the
+Program, unless a warranty or assumption of liability accompanies a
+copy of the Program in return for a fee.
+
+                     END OF TERMS AND CONDITIONS

src/speckleifc/licenses/IfcOpenShell-LGPL-3.0.txt

@@ -0,0 +1,165 @@
+                   GNU LESSER GENERAL PUBLIC LICENSE
+                       Version 3, 29 June 2007
+
+ Copyright (C) 2007 Free Software Foundation, Inc. <https://fsf.org/>
+ Everyone is permitted to copy and distribute verbatim copies
+ of this license document, but changing it is not allowed.
+
+
+  This version of the GNU Lesser General Public License incorporates
+the terms and conditions of version 3 of the GNU General Public
+License, supplemented by the additional permissions listed below.
+
+  0. Additional Definitions.
+
+  As used herein, "this License" refers to version 3 of the GNU Lesser
+General Public License, and the "GNU GPL" refers to version 3 of the GNU
+General Public License.
+
+  "The Library" refers to a covered work governed by this License,
+other than an Application or a Combined Work as defined below.
+
+  An "Application" is any work that makes use of an interface provided
+by the Library, but which is not otherwise based on the Library.
+Defining a subclass of a class defined by the Library is deemed a mode
+of using an interface provided by the Library.
+
+  A "Combined Work" is a work produced by combining or linking an
+Application with the Library.  The particular version of the Library
+with which the Combined Work was made is also called the "Linked
+Version".
+
+  The "Minimal Corresponding Source" for a Combined Work means the
+Corresponding Source for the Combined Work, excluding any source code
+for portions of the Combined Work that, considered in isolation, are
+based on the Application, and not on the Linked Version.
+
+  The "Corresponding Application Code" for a Combined Work means the
+object code and/or source code for the Application, including any data
+and utility programs needed for reproducing the Combined Work from the
+Application, but excluding the System Libraries of the Combined Work.
+
+  1. Exception to Section 3 of the GNU GPL.
+
+  You may convey a covered work under sections 3 and 4 of this License
+without being bound by section 3 of the GNU GPL.
+
+  2. Conveying Modified Versions.
+
+  If you modify a copy of the Library, and, in your modifications, a
+facility refers to a function or data to be supplied by an Application
+that uses the facility (other than as an argument passed when the
+facility is invoked), then you may convey a copy of the modified
+version:
+
+   a) under this License, provided that you make a good faith effort to
+   ensure that, in the event an Application does not supply the
+   function or data, the facility still operates, and performs
+   whatever part of its purpose remains meaningful, or
+
+   b) under the GNU GPL, with none of the additional permissions of
+   this License applicable to that copy.
+
+  3. Object Code Incorporating Material from Library Header Files.
+
+  The object code form of an Application may incorporate material from
+a header file that is part of the Library.  You may convey such object
+code under terms of your choice, provided that, if the incorporated
+material is not limited to numerical parameters, data structure
+layouts and accessors, or small macros, inline functions and templates
+(ten or fewer lines in length), you do both of the following:
+
+   a) Give prominent notice with each copy of the object code that the
+   Library is used in it and that the Library and its use are
+   covered by this License.
+
+   b) Accompany the object code with a copy of the GNU GPL and this license
+   document.
+
+  4. Combined Works.
+
+  You may convey a Combined Work under terms of your choice that,
+taken together, effectively do not restrict modification of the
+portions of the Library contained in the Combined Work and reverse
+engineering for debugging such modifications, if you also do each of
+the following:
+
+   a) Give prominent notice with each copy of the Combined Work that
+   the Library is used in it and that the Library and its use are
+   covered by this License.
+
+   b) Accompany the Combined Work with a copy of the GNU GPL and this license
+   document.
+
+   c) For a Combined Work that displays copyright notices during
+   execution, include the copyright notice for the Library among
+   these notices, as well as a reference directing the user to the
+   copies of the GNU GPL and this license document.
+
+   d) Do one of the following:
+
+       0) Convey the Minimal Corresponding Source under the terms of this
+       License, and the Corresponding Application Code in a form
+       suitable for, and under terms that permit, the user to
+       recombine or relink the Application with a modified version of
+       the Linked Version to produce a modified Combined Work, in the
+       manner specified by section 6 of the GNU GPL for conveying
+       Corresponding Source.
+
+       1) Use a suitable shared library mechanism for linking with the
+       Library.  A suitable mechanism is one that (a) uses at run time
+       a copy of the Library already present on the user's computer
+       system, and (b) will operate properly with a modified version
+       of the Library that is interface-compatible with the Linked
+       Version.
+
+   e) Provide Installation Information, but only if you would otherwise
+   be required to provide such information under section 6 of the
+   GNU GPL, and only to the extent that such information is
+   necessary to install and execute a modified version of the
+   Combined Work produced by recombining or relinking the
+   Application with a modified version of the Linked Version. (If
+   you use option 4d0, the Installation Information must accompany
+   the Minimal Corresponding Source and Corresponding Application
+   Code. If you use option 4d1, you must provide the Installation
+   Information in the manner specified by section 6 of the GNU GPL
+   for conveying Corresponding Source.)
+
+  5. Combined Libraries.
+
+  You may place library facilities that are a work based on the
+Library side by side in a single library together with other library
+facilities that are not Applications and are not covered by this
+License, and convey such a combined library under terms of your
+choice, if you do both of the following:
+
+   a) Accompany the combined library with a copy of the same work based
+   on the Library, uncombined with any other library facilities,
+   conveyed under the terms of this License.
+
+   b) Give prominent notice with the combined library that part of it
+   is a work based on the Library, and explaining where to find the
+   accompanying uncombined form of the same work.
+
+  6. Revised Versions of the GNU Lesser General Public License.
+
+  The Free Software Foundation may publish revised and/or new versions
+of the GNU Lesser General Public License from time to time. Such new
+versions will be similar in spirit to the present version, but may
+differ in detail to address new problems or concerns.
+
+  Each version is given a distinguishing version number. If the
+Library as you received it specifies that a certain numbered version
+of the GNU Lesser General Public License "or any later version"
+applies to it, you have the option of following the terms and
+conditions either of that published version or of any later version
+published by the Free Software Foundation. If the Library as you
+received it does not specify a version number of the GNU Lesser
+General Public License, you may choose any version of the GNU Lesser
+General Public License ever published by the Free Software Foundation.
+
+  If the Library as you received it specifies that a proxy can decide
+whether future versions of the GNU Lesser General Public License shall
+apply, that proxy's public statement of acceptance of any version is
+permanent authorization for you to choose that version for the
+Library.

src/speckleifc/licenses/README.md

@@ -0,0 +1,30 @@
+# Third-Party Licenses
+
+This directory contains license files for third-party dependencies used by specklepy.
+
+## IfcOpenShell
+
+IfcOpenShell is an optional dependency available through the `speckleifc` extra:
+
+```bash
+pip install specklepy[speckleifc]
+```
+
+IfcOpenShell is dual-licensed under:
+
+- **LGPL-3.0** (`IfcOpenShell-LGPL-3.0.txt`) - GNU Lesser General Public License v3.0
+- **GPL-3.0** (`IfcOpenShell-GPL-3.0.txt`) - GNU General Public License v3.0
+
+### About IfcOpenShell
+
+IfcOpenShell is an open source software library for working with Industry Foundation Classes (IFC). It provides complete parsing support for IFC2x3 TC1, IFC4 Add2 TC1, IFC4x1, IFC4x2, and IFC4x3 Add2.
+
+- **Project**: https://github.com/IfcOpenShell/IfcOpenShell
+- **Documentation**: https://docs.ifcopenshell.org/
+- **License**: LGPL-3.0-or-later, GPL-3.0-or-later
+
+When using specklepy with IfcOpenShell, you must comply with the terms of these licenses.
+
+## License Compatibility
+
+specklepy is licensed under Apache-2.0, which is compatible with LGPL-3.0 for dynamic linking scenarios (which is how IfcOpenShell is used as an optional dependency).

src/speckleifc/main.py

@@ -0,0 +1,127 @@
+import contextlib
+import importlib.metadata
+import time
+import traceback
+from pathlib import Path
+
+from speckleifc.ifc_geometry_processing import open_ifc
+from speckleifc.importer import ImportJob
+from specklepy.core.api.client import SpeckleClient
+from specklepy.core.api.inputs.model_ingestion_inputs import (
+    ModelIngestionFailedInput,
+    ModelIngestionStartProcessingInput,
+    ModelIngestionSuccessInput,
+    ModelIngestionUpdateInput,
+    SourceDataInput,
+)
+from specklepy.core.api.models.current import Project, Version
+from specklepy.core.api.operations import send
+from specklepy.logging import metrics
+from specklepy.transports.server import ServerTransport
+
+
+def open_and_convert_file(
+    file_path: str,
+    project: Project,
+    model_ingestion_id: str,
+    client: SpeckleClient,
+) -> Version:
+    try:
+        start = time.time()
+        very_start = start
+        path = Path(file_path)
+
+        specklepy_version = importlib.metadata.version("specklepy")
+        client.model_ingestion.start_processing(
+            ModelIngestionStartProcessingInput(
+                project_id=project.id,
+                ingestion_id=model_ingestion_id,
+                progress_message="Importing IFC file",
+                source_data=SourceDataInput(
+                    file_name=path.name,
+                    file_size_bytes=path.stat().st_size,
+                    source_application_slug=metrics.HOST_APP,
+                    source_application_version=specklepy_version,
+                ),
+            )
+        )
+
+        account = client.account
+        server_url = account.serverInfo.url
+        assert server_url
+        remote_transport = ServerTransport(project.id, account=account)
+
+        ifc_file = open_ifc(file_path)  # pyright: ignore[reportUnknownVariableType]
+
+        client.model_ingestion.update_progress(
+            ModelIngestionUpdateInput(
+                project_id=project.id,
+                ingestion_id=model_ingestion_id,
+                progress_message="Converting file",
+                progress=None,
+            )
+        )
+        import_job = ImportJob(ifc_file)  # pyright: ignore[reportUnknownArgumentType]
+        data = import_job.convert()
+
+        print(f"File conversion complete after {(time.time() - start) * 1000}ms")
+
+        start = time.time()
+
+        client.model_ingestion.update_progress(
+            ModelIngestionUpdateInput(
+                project_id=project.id,
+                ingestion_id=model_ingestion_id,
+                progress_message="Uploading objects",
+                progress=None,
+            )
+        )
+        root_id = send(data, transports=[remote_transport], use_default_cache=False)
+        print(f"Sending to speckle complete after: {(time.time() - start) * 1000}ms")
+
+        start = time.time()
+
+        version_id = client.model_ingestion.complete(
+            ModelIngestionSuccessInput(
+                project_id=project.id,
+                ingestion_id=model_ingestion_id,
+                root_object_id=root_id,
+                # version_message=version_message,
+            )
+        )
+
+        # needed to query version until ingestion api expands to serve it
+        version = client.version.get(version_id, project.id)
+
+        end = time.time()
+        print(f"Version committed after: {(end - start) * 1000}ms")
+
+        print(f"Total time (to commit): {(end - very_start) * 1000}ms")
+        del ifc_file
+
+        custom_properties = {"ui": "dui3", "actionSource": "import"}
+        if project.workspace_id:
+            custom_properties["workspace_id"] = project.workspace_id
+
+        metrics.track(
+            metrics.SEND,
+            account,
+            custom_properties,
+            send_sync=True,
+            track_email=True,
+        )
+
+        return version
+    except Exception as e:
+        stack_trace = traceback.format_exc()
+        with contextlib.suppress(Exception):
+            # make sure to not report process kills when we're cancelling
+            client.model_ingestion.fail_with_error(
+                ModelIngestionFailedInput(
+                    project_id=project.id,
+                    ingestion_id=model_ingestion_id,
+                    error_reason=str(e),
+                    error_stacktrace=stack_trace,
+                )
+            )
+        raise e

src/speckleifc/property_extraction.py

@@ -0,0 +1,197 @@
+import math
+from typing import Any, Tuple
+
+from ifcopenshell.entity_instance import entity_instance
+from ifcopenshell.util.element import get_type
+from ifcopenshell.util.unit import get_full_unit_name, get_project_unit
+
+UNIT_MAPPING = {
+    "IfcQuantityLength": "LENGTHUNIT",
+    "IfcQuantityArea": "AREAUNIT",
+    "IfcQuantityVolume": "VOLUMEUNIT",
+    "IfcQuantityCount": None,  # Count quantities have no units
+    "IfcQuantityWeight": "MASSUNIT",
+    "IfcQuantityTime": "TIMEUNIT",
+}
+
+
+def extract_properties(element: entity_instance) -> dict[str, object]:
+    (psets, qtos) = _get_ifc_object_properties(element)
+
+    properties: dict[str, object] = {
+        "Attributes": _get_attributes(element),
+        "Property Sets": psets,
+    }
+
+    if qtos:
+        properties["Quantities"] = qtos
+
+    if (ifc_type := get_type(element)) is not None:
+        properties["Element Type Property Sets"] = _get_ifc_element_type_properties(
+            ifc_type,
+        )
+        properties["Element Type Attributes"] = _get_attributes(
+            ifc_type,
+        )
+
+    return properties
+
+
+def _get_attributes(element: entity_instance) -> dict[str, object]:
+    return element.get_info(True, False, scalar_only=True)
+
+
+def _get_ifc_element_type_properties(element: entity_instance) -> dict[str, object]:
+    result: dict[str, object] = {}
+    for definition in element.HasPropertySets or []:
+        if not definition.is_a("IfcPropertySet"):
+            continue
+
+        result[definition.Name] = _get_properties(definition.HasProperties)
+    return result
+
+
+def _get_ifc_object_properties(
+    element: entity_instance,
+) -> Tuple[dict[str, object], dict[str, object]]:
+    psets: dict[str, object] = {}
+    qtos: dict[str, object] = {}
+
+    for rel in getattr(element, "IsDefinedBy", []):
+        if not rel.is_a("IfcRelDefinesByProperties"):
+            continue
+
+        definition: entity_instance | None = rel.RelatingPropertyDefinition
+        if not definition:
+            continue
+
+        try:
+            if definition.is_a("IfcPropertySet"):
+                set_name = definition.Name
+                properties = _get_properties(definition.HasProperties)
+
+                if properties:
+                    psets[set_name] = properties
+
+            elif definition.is_a("IfcElementQuantity"):
+                quantities_data = _get_quantities(definition.Quantities, element)
+                if not quantities_data:
+                    continue
+                quantities_data["id"] = definition.id()
+                qtos[definition.Name] = quantities_data
+
+        except (KeyError, AttributeError):
+            # If entity access fails, skip this quantity set
+            print(f"Skipping {definition}")
+            continue
+
+    return (psets, qtos)
+
+
+def _get_properties(properties: entity_instance) -> dict[str, Any]:
+    """
+    There already exists a canonical way to get properties
+    `ifcopenshell.util.element.get_properties` but it's very verbose
+    and we don't want to bloat our selves with supporting complex property types
+
+    This is a slimmed down version, only supporting a couple of property types
+    """
+    result: dict[str, Any] = {}
+
+    for prop in properties:
+        name = prop.Name
+        if prop.is_a("IfcPropertySingleValue"):
+            val = prop.NominalValue
+            if val is not None:
+                result[name] = val.wrappedValue if hasattr(val, "wrappedValue") else val
+        elif prop.is_a("IfcPropertyListValue"):
+            values = getattr(prop, "ListValues", None)
+            if values:
+                result[name] = [
+                    v.wrappedValue if hasattr(v, "wrappedValue") else v for v in values
+                ]
+        elif prop.is_a("IfcPropertyEnumeratedValue"):
+            values = getattr(prop, "EnumerationValues", None)
+            if values:
+                result[name] = [
+                    v.wrappedValue if hasattr(v, "wrappedValue") else v for v in values
+                ]
+
+        # elif prop.is_a("IfcPropertyTableValue"):
+        #     properties[name] = #not sure if we want to support these...
+    return result
+
+
+def _get_quantities(
+    quantities: list[entity_instance], element: entity_instance
+) -> dict[str, Any]:
+    """Extract quantity values from IfcPhysicalQuantity entities."""
+    results: dict[str, Any] = {}
+    for quantity in quantities or []:
+        quantity_name = quantity.Name
+
+        if quantity.is_a("IfcPhysicalSimpleQuantity"):
+            # Get the quantity value (3rd attribute for simple quantities)
+            value = getattr(quantity, quantity.attribute_name(3))
+            unit_info = _get_unit_info(element, quantity)
+
+            # Server does not consider `NaN` valid json
+            if math.isnan(value):
+                value = None
+
+            if unit_info:
+                # Create structured quantity object with units
+                results[quantity_name] = {
+                    "name": quantity_name,
+                    "value": value,
+                    **unit_info,
+                }
+            else:
+                # No unit info available, keep as simple value with name
+                results[quantity_name] = {"name": quantity_name, "value": value}
+
+        elif quantity.is_a("IfcPhysicalComplexQuantity"):
+            # Handle complex quantities
+            data = {
+                k: v
+                for k, v in quantity.get_info().items()
+                if v is not None and k != "Name"
+            }
+            data["properties"] = _get_quantities(quantity.HasQuantities, element)
+            del data["HasQuantities"]
+            results[quantity_name] = data
+    return results
+
+
+def _get_unit_info(
+    element: entity_instance, quantity: entity_instance
+) -> dict[str, str]:
+    """Get unit information for a quantity."""
+    # Early return for count quantities - they don't have units
+    quantity_type = quantity.is_a()
+    if quantity_type == "IfcQuantityCount":
+        return {}
+
+    unit = getattr(element, "Unit", None)
+    if unit:
+        # Quantity has its own unit
+        unit_name = get_full_unit_name(unit)
+        formatted_unit_name = unit_name.replace("_", " ").title() if unit_name else ""
+        return {"units": formatted_unit_name}
+
+    else:
+        # Fall back to project unit based on quantity type
+        unit_type = UNIT_MAPPING.get(quantity_type)
+        if not unit_type:
+            return {}
+
+        # Get the project unit for this unit type
+        project_unit = get_project_unit(element.file, unit_type, use_cache=True)
+        if not project_unit:
+            return {}
+
+        # Get unit name and format
+        unit_name = get_full_unit_name(project_unit)
+        formatted_unit_name = unit_name.replace("_", " ").title() if unit_name else ""
+
+        return {"units": formatted_unit_name}

src/speckleifc/proxy_managers/instance_proxy_manager.py

@@ -0,0 +1,43 @@
+from typing import Sequence
+
+from specklepy.objects.base import Base
+from specklepy.objects.proxies import InstanceDefinitionProxy
+
+
+class InstanceProxyManager:
+    def __init__(self):
+        self._instance_definition_proxies: dict[str, InstanceDefinitionProxy] = {}
+        """definition proxies to be added directly to the root"""
+        self._instance_geometry: dict[str, Base] = {}
+        """The geometry that will be added in it's own collection under the root"""
+
+    @property
+    def instance_definition_proxies(self) -> dict[str, InstanceDefinitionProxy]:
+        return self._instance_definition_proxies
+
+    @property
+    def instance_geometry(self) -> dict[str, Base]:
+        return self._instance_geometry
+
+    def add_display_value_definitions(self, geometry: Sequence[Base]) -> list[str]:
+        result: list[str] = []
+        for m in geometry:
+            if not m.applicationId:
+                raise ValueError("geometry with no applicationId cannot be proxied ")
+            definition_id = f"DEFINITION:{m.applicationId}"
+            result.append(definition_id)
+            self._add_definition(definition_id, [m.applicationId], 0)
+            self._instance_geometry[m.applicationId] = m
+
+        return result
+
+    def _add_definition(
+        self, definition_id: str, objects: list[str], max_depth: int
+    ) -> None:
+        proxy = InstanceDefinitionProxy(
+            applicationId=definition_id,
+            name=definition_id,
+            objects=objects,
+            maxDepth=max_depth,
+        )
+        self._instance_definition_proxies[definition_id] = proxy

src/speckleifc/proxy_managers/level_proxy_manager.py

@@ -0,0 +1,27 @@
+from specklepy.objects.data_objects import DataObject
+from specklepy.objects.proxies import LevelProxy
+
+
+class LevelProxyManager:
+    def __init__(self):
+        self._level_proxies: dict[str, LevelProxy] = {}
+
+    @property
+    def level_proxies(self):
+        return self._level_proxies
+
+    def add_element_level_mapping(
+        self, level_data_object: DataObject, element_application_id: str
+    ) -> None:
+        level_id = level_data_object.applicationId
+        assert level_id is not None
+
+        proxy = self._level_proxies.get(level_id, None)
+        if proxy is not None:
+            proxy.objects.append(element_application_id)
+        else:
+            self._level_proxies[level_id] = LevelProxy(
+                objects=[element_application_id],
+                value=level_data_object,
+                applicationId=level_id,
+            )

src/speckleifc/proxy_managers/render_material_proxy_manager.py

@@ -0,0 +1,28 @@
+from specklepy.objects.geometry import Mesh
+from specklepy.objects.other import RenderMaterial
+from specklepy.objects.proxies import RenderMaterialProxy
+
+
+class RenderMaterialProxyManager:
+    def __init__(self):
+        self._render_material_proxies: dict[str, RenderMaterialProxy] = {}
+
+    @property
+    def render_material_proxies(self):
+        return self._render_material_proxies
+
+    def add_mesh_material_mapping(
+        self, render_material: RenderMaterial, mesh: Mesh
+    ) -> None:
+        material_id = render_material.applicationId
+        assert material_id is not None
+        mesh_id = mesh.applicationId
+        assert mesh_id is not None
+
+        proxy = self._render_material_proxies.get(material_id, None)
+        if proxy is not None:
+            proxy.objects.append(mesh_id)
+        else:
+            self._render_material_proxies[material_id] = RenderMaterialProxy(
+                objects=[mesh_id], value=render_material
+            )