feat(serverTransport): Add urlib3 retry policy to requests.Session clients used by ServerTransport (#461)

* Pre-commit on the public image

* change names

* first pass using urllib3 retry policy

* add some basic unit test

* correct the doc string

.circleci/config.yml

@@ -1,79 +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: "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"
-    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 specklesystems -p $PYPI_PASSWORD
+      - 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"]
-          filters:
-            tags:
-              only: /.*/
-      - deploy:
-          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:

.gitattributes

@@ -1,3 +1,3 @@
 * text=auto eol=lf
 *.{cmd,[cC][mM][dD]} text eol=crlf
-*.{bat,[bB][aA][tT]} text eol=crlf
+*.{bat,[bB][aA][tT]} text eol=crlf

.github/workflows/close-issue.yml

@@ -1,77 +0,0 @@
-name: Update issue Status
-
-on:
-  issues:
-    types: [closed]
-
-jobs:
-  update_issue:
-    runs-on: ubuntu-latest
-    steps:
-      - name: Get project data
-        env:
-          GITHUB_TOKEN: ${{secrets.GHPROJECT_TOKEN}}
-          ORGANIZATION: specklesystems
-          PROJECT_NUMBER: 9
-        run: |
-          gh api graphql --header 'GraphQL-Features: projects_next_graphql' -f query='
-            query($org: String!, $number: Int!) {
-              organization(login: $org){
-                projectNext(number: $number) {
-                  id
-                  fields(first:20) {
-                    nodes {
-                      id
-                      name
-                      settings
-                    }
-                  }
-                }
-              }
-            }' -f org=$ORGANIZATION -F number=$PROJECT_NUMBER > project_data.json
-
-          echo 'PROJECT_ID='$(jq '.data.organization.projectNext.id' project_data.json) >> $GITHUB_ENV
-          echo 'STATUS_FIELD_ID='$(jq '.data.organization.projectNext.fields.nodes[] | select(.name== "Status") | .id' project_data.json) >> $GITHUB_ENV
-
-          echo "$PROJECT_ID"
-          echo "$STATUS_FIELD_ID"
-
-          echo 'DONE_ID='$(jq '.data.organization.projectNext.fields.nodes[] | select(.name== "Status") | .settings | fromjson | .options[] | select(.name== "Done") | .id' project_data.json) >> $GITHUB_ENV
-          echo "$DONE_ID"
-
-      - name: Add Issue to project #it's already in the project, but we do this to get its node id!
-        env:
-          GITHUB_TOKEN: ${{secrets.GHPROJECT_TOKEN}}
-          ISSUE_ID: ${{ github.event.issue.node_id }}
-        run: |
-          item_id="$( gh api graphql --header 'GraphQL-Features: projects_next_graphql' -f query='
-            mutation($project:ID!, $id:ID!) {
-              addProjectNextItem(input: {projectId: $project, contentId: $id}) {
-                projectNextItem {
-                  id
-                }
-              }
-            }' -f project=$PROJECT_ID -f id=$ISSUE_ID --jq '.data.addProjectNextItem.projectNextItem.id')"
-
-          echo 'ITEM_ID='$item_id >> $GITHUB_ENV
-
-      - name: Update Status
-        env:
-          GITHUB_TOKEN: ${{secrets.GHPROJECT_TOKEN}}
-          ISSUE_ID: ${{ github.event.issue.node_id }}
-        run: |
-          gh api graphql --header 'GraphQL-Features: projects_next_graphql' -f query='
-            mutation($project:ID!, $status:ID!, $id:ID!, $value:String!) {
-              set_status: updateProjectNextItemField(
-                input: {
-                  projectId: $project
-                  itemId: $id
-                  fieldId: $status
-                  value: $value
-                }
-              ) {
-                projectNextItem {
-                  id
-                }
-              }
-            }' -f project=$PROJECT_ID -f status=$STATUS_FIELD_ID -f id=$ITEM_ID -f value=${{ env.DONE_ID }}

.github/workflows/open-issue.yml

@@ -1,50 +0,0 @@
-name: Move new issues into Project
-
-on:
-  issues:
-    types: [opened]
-
-jobs:
-  track_issue:
-    runs-on: ubuntu-latest
-    steps:
-      - name: Get project data
-        env:
-          GITHUB_TOKEN: ${{secrets.GHPROJECT_TOKEN}}
-          ORGANIZATION: specklesystems
-          PROJECT_NUMBER: 9
-        run: |
-          gh api graphql --header 'GraphQL-Features: projects_next_graphql' -f query='
-            query($org: String!, $number: Int!) {
-              organization(login: $org){
-                projectNext(number: $number) {
-                  id
-                  fields(first:20) {
-                    nodes {
-                      id
-                      name
-                      settings
-                    }
-                  }
-                }
-              }
-            }' -f org=$ORGANIZATION -F number=$PROJECT_NUMBER > project_data.json
-
-          echo 'PROJECT_ID='$(jq '.data.organization.projectNext.id' project_data.json) >> $GITHUB_ENV
-          echo 'STATUS_FIELD_ID='$(jq '.data.organization.projectNext.fields.nodes[] | select(.name== "Status") | .id' project_data.json) >> $GITHUB_ENV
-
-      - name: Add Issue to project
-        env:
-          GITHUB_TOKEN: ${{secrets.GHPROJECT_TOKEN}}
-          ISSUE_ID: ${{ github.event.issue.node_id }}
-        run: |
-          item_id="$( gh api graphql --header 'GraphQL-Features: projects_next_graphql' -f query='
-            mutation($project:ID!, $id:ID!) {
-              addProjectNextItem(input: {projectId: $project, contentId: $id}) {
-                projectNextItem {
-                  id
-                }
-              }
-            }' -f project=$PROJECT_ID -f id=$ISSUE_ID --jq '.data.addProjectNextItem.projectNextItem.id')"
-
-          echo 'ITEM_ID='$item_id >> $GITHUB_ENV

.github/workflows/pr.yml

@@ -0,0 +1,98 @@
+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
+    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]
@@ -112,4 +114,4 @@ venv.bak/
 
 # other
 scratch.py
-settings.json
+settings.json

.pre-commit-config.yaml

@@ -0,0 +1,31 @@
+repos:
+  - repo: local
+    hooks:
+      # Run the linter.
+      - id: ruff
+        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:
+          - pre-push
+    rev: v3.13.0
+
+
+  - repo: https://github.com/pre-commit/pre-commit-hooks
+    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",
@@ -15,12 +14,12 @@
     },
     {
       "name": "Pytest",
-      "type": "python",
+      "type": "debugpy",
       "request": "launch",
-      "program": "poetry",
-      "args": ["run", "pytest"],
+      "module": "pytest",
+      "args": [],
       "console": "integratedTerminal",
       "justMyCode": true
     }
   ]
-}
+}

README.md

@@ -2,52 +2,26 @@
   <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
 
 ## Usage
 
-Send and receive data from a Speckle Server with `operations`, interact with the Speckle API with the `SpeckleClient`, create and extend your own custom Speckle Objects with `Base`, and more! 
+Send and receive data from a Speckle Server with `operations`, interact with the Speckle API with the `SpeckleClient`, create and extend your own custom Speckle Objects with `Base`, and more!
 
 Head to the [**📚 specklepy docs**](https://speckle.guide/dev/python.html) for more information and usage examples.
 
@@ -55,19 +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. Uv 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. Poetry 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.
+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`
@@ -82,7 +62,7 @@ The Speckle Community hangs out on [the forum](https://discourse.speckle.works),
 
 ## Security
 
-For any security vulnerabilities or concerns, please contact us directly at security[at]speckle.systems. 
+For any security vulnerabilities or concerns, please contact us directly at security[at]speckle.systems.
 
 ## License
 

docker-compose-internal.yml

@@ -0,0 +1,119 @@
+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"
+      DEBUG: "speckle:*"
+
+      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 +1,119 @@
+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"
+      DEBUG: "speckle:*"
+
+      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:

example/many_children.py

@@ -1,12 +1,13 @@
-from typing import List
-from specklepy.objects import Base
-from specklepy.api import operations
-from specklepy.transports.sqlite import SQLiteTransport
+import os
+import random
+import string
 import time
 from pathlib import Path
-import os
-import string
-import random
+from typing import List
+
+from specklepy.api import operations
+from specklepy.objects import Base
+from specklepy.transports.sqlite import SQLiteTransport
 
 
 class Sub(Base):
@@ -26,7 +27,6 @@ def clean_db():
 
 
 def one_pass(clean: bool, randomize: bool, child_count: int):
-
     foo = Base()
     for i in range(child_count):
         stuff = random_string() if randomize else "stuff"

example/send_receive.py

@@ -0,0 +1,15 @@
+from devtools import debug
+
+from specklepy.api import operations
+from specklepy.api.wrapper import StreamWrapper
+
+if __name__ == "__main__":
+    stream_url = "https://latest.speckle.dev/streams/7d051a6449"
+    wrapper = StreamWrapper(stream_url)
+
+    transport = wrapper.get_transport()
+
+    rec = operations.receive("98396753f8bf7fe1cb60c5193e9f9d86", transport)
+
+    # hash = operations.send(base=foo, transports=[transport], use_default_cache=False)
+    debug(rec)

example/stream_objects.py

@@ -1,9 +1,10 @@
+import random
+import string
 from typing import List
+
+from specklepy.api import operations
 from specklepy.api.wrapper import StreamWrapper
 from specklepy.objects import Base
-from specklepy.api import operations
-import string
-import random
 
 
 class Sub(Base):
@@ -24,7 +25,6 @@ def create_object(child_count: int) -> Base:
 
 
 if __name__ == "__main__":
-
     stream_url = "http://hyperion:3000/streams/2372b54c35"
 
     child_count = 10

example/units_none.py

@@ -1,6 +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",
@@ -13,7 +15,6 @@ base = Base()
 for prop, value in dct.items():
     base.__setattr__(prop, value)
 
-from devtools import debug
 
 debug(base)
 debug(base.units)

example/using_speckle_base.py

@@ -1,10 +1,11 @@
 """This is an example showcasing the usage of speckle `Base` class."""
 
 # the speckle.objects module exposes all speckle provided classes
-from specklepy.objects import Base
-from specklepy.api import operations
 from devtools import debug
 
+from specklepy.api import operations
+from specklepy.objects import Base
+
 
 class ExampleSub(Base):
     """

mise.toml

@@ -0,0 +1,6 @@
+[tools]
+python = "3.13.7"
+
+[settings]
+experimental = true
+python.uv_venv_auto = true

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(f"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

@@ -1,54 +1,96 @@
-[tool.poetry]
+[project]
+dynamic = ["version"]
+# version = "3.0.0a1"
 name = "specklepy"
-version = "2.4.0"
-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"
+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"]
+
+[dependency-groups]
+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",
+    "ruff>=0.9.2",
+    "types-deprecated>=1.2.15.20241117",
+    "types-requests>=2.32.0.20241016",
+    "types-ujson>=5.10.0.20240515",
+]
+
+[project.urls]
+repository = "https://github.com/specklesystems/specklepy"
 documentation = "https://speckle.guide/dev/py-examples.html"
 homepage = "https://speckle.systems/"
 
-
-[tool.poetry.dependencies]
-python = ">=3.7.2, <4.0"
-pydantic = "^1.8.2"
-appdirs = "^1.4.4"
-gql = {extras = ["requests", "websockets"], version = "^3.3.0"}
-ujson = "^5.3.0"
-Deprecated = "^1.2.13"
-
-[tool.poetry.dev-dependencies]
-black = "^22.8.0"
-isort = "^5.7.0"
-pytest = "^6.2.2"
-pytest-ordering = "^0.6"
-pytest-cov = "^3.0.0"
-devtools = "^0.8.0"
-pylint = "^2.14.4"
-mypy = "^0.971"
-
-
-[tool.black]
-exclude = '''
-/(
-    \.eggs
-  | \.git
-  | \.hg
-  | \.mypy_cache
-  | \.tox
-  | \.venv
-  | _build
-  | buck-out
-  | build
-  | dist
-)/
-'''
-include = '\.pyi?$'
-line-length = 88
-target-version = ["py37", "py38", "py39", "py310"]
-
-
 [build-system]
-requires = ["poetry-core>=1.0.0"]
-build-backend = "poetry.core.masonry.api"
+requires = ["hatchling", "hatch-vcs"]
+build-backend = "hatchling.build"
+
+[tool.hatch.version]
+source = "vcs"
+
+[tool.hatch.build.targets.wheel]
+only-include = ["src", "licenses"]
+sources = ["src"]
+
+[tool.hatch.build.targets.sdist]
+include = ["src", "licenses"]
+
+[tool.hatch.version.raw-options]
+local_scheme = "no-local-version"
+
+[tool.commitizen]
+name = "cz_conventional_commits"
+version = "2.9.2"
+tag_format = "$version"
+
+[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/"

specklepy/api/client.py

@@ -1,209 +0,0 @@
-import re
-from warnings import warn
-from deprecated import deprecated
-from specklepy.api.credentials import Account, get_account_from_token
-from specklepy.logging import metrics
-from specklepy.logging.exceptions import (
-    SpeckleException,
-    SpeckleWarning,
-)
-from typing import Dict
-
-from specklepy.api import resources
-from specklepy.api.resources import (
-    branch,
-    commit,
-    stream,
-    object,
-    server,
-    user,
-    subscriptions,
-)
-from specklepy.api.models import ServerInfo
-from gql import Client
-from gql.transport.requests import RequestsHTTPTransport
-from gql.transport.websockets import WebsocketsTransport
-
-
-class SpeckleClient:
-    """
-    The `SpeckleClient` is your entry point for interacting with your Speckle Server's GraphQL API.
-    You'll need to have access to a server to use it, or you can use our public server `speckle.xyz`.
-
-    To authenticate the client, you'll need to have downloaded the [Speckle Manager](https://speckle.guide/#speckle-manager)
-    and added your account.
-
-    ```py
-    from specklepy.api.client import SpeckleClient
-    from specklepy.api.credentials import get_default_account
-
-    # initialise the client
-    client = SpeckleClient(host="speckle.xyz") # or whatever your host is
-    # client = SpeckleClient(host="localhost:3000", use_ssl=False) or use local server
-
-    # authenticate the client with an account (account has been added in Speckle Manager)
-    account = get_default_account()
-    client.authenticate_with_account(account)
-
-    # create a new stream. this returns the stream id
-    new_stream_id = client.stream.create(name="a shiny new stream")
-
-    # use that stream id to get the stream from the server
-    new_stream = client.stream.get(id=new_stream_id)
-    ```
-    """
-
-    DEFAULT_HOST = "speckle.xyz"
-    USE_SSL = True
-
-    def __init__(self, host: str = DEFAULT_HOST, use_ssl: bool = USE_SSL) -> None:
-        metrics.track(metrics.CLIENT, custom_props={"name": "create"})
-        ws_protocol = "ws"
-        http_protocol = "http"
-
-        if use_ssl:
-            ws_protocol = "wss"
-            http_protocol = "https"
-
-        # sanitise host input by removing protocol and trailing slash
-        host = re.sub(r"((^\w+:|^)\/\/)|(\/$)", "", host)
-
-        self.url = f"{http_protocol}://{host}"
-        self.graphql = f"{self.url}/graphql"
-        self.ws_url = f"{ws_protocol}://{host}/graphql"
-        self.account = Account()
-
-        self.httpclient = Client(
-            transport=RequestsHTTPTransport(url=self.graphql, verify=True, retries=3)
-        )
-        self.wsclient = None
-
-        self._init_resources()
-
-        # ? Check compatibility with the server - i think we can skip this at this point? save a request
-        # try:
-        #     server_info = self.server.get()
-        #     if isinstance(server_info, Exception):
-        #         raise server_info
-        #     if not isinstance(server_info, ServerInfo):
-        #         raise Exception("Couldn't get ServerInfo")
-        # except Exception as ex:
-        #     raise SpeckleException(
-        #         f"{self.url} is not a compatible Speckle Server", ex
-        #     ) from ex
-
-    def __repr__(self):
-        return f"SpeckleClient( server: {self.url}, authenticated: {self.account.token is not None} )"
-
-    @deprecated(
-        version="2.6.0",
-        reason="Renamed: please use `authenticate_with_account` or `authenticate_with_token` instead.",
-    )
-    def authenticate(self, token: str) -> None:
-        """Authenticate the client using a personal access token
-        The token is saved in the client object and a synchronous GraphQL entrypoint is created
-
-        Arguments:
-            token {str} -- an api token
-        """
-        self.authenticate_with_token(token)
-        self._set_up_client()
-
-    def authenticate_with_token(self, token: str) -> None:
-        """Authenticate the client using a personal access token
-        The token is saved in the client object and a synchronous GraphQL entrypoint is created
-
-        Arguments:
-            token {str} -- an api token
-        """
-        self.account = get_account_from_token(token, self.url)
-        metrics.track(metrics.CLIENT, self.account, {"name": "authenticate with token"})
-        self._set_up_client()
-
-    def authenticate_with_account(self, account: Account) -> None:
-        """Authenticate the client using an Account object
-        The account is saved in the client object and a synchronous GraphQL entrypoint is created
-
-        Arguments:
-            account {Account} -- the account object which can be found with `get_default_account` or `get_local_accounts`
-        """
-        metrics.track(metrics.CLIENT, account, {"name": "authenticate with account"})
-        self.account = account
-        self._set_up_client()
-
-    def _set_up_client(self) -> None:
-        metrics.track(metrics.CLIENT, self.account, {"name": "set up client"})
-        headers = {
-            "Authorization": f"Bearer {self.account.token}",
-            "Content-Type": "application/json",
-            "apollographql-client-name": metrics.HOST_APP,
-            "apollographql-client-version": metrics.HOST_APP_VERSION,
-        }
-        httptransport = RequestsHTTPTransport(
-            url=self.graphql, headers=headers, verify=True, retries=3
-        )
-        wstransport = WebsocketsTransport(
-            url=self.ws_url,
-            init_payload={"Authorization": f"Bearer {self.account.token}"},
-        )
-        self.httpclient = Client(transport=httptransport)
-        self.wsclient = Client(transport=wstransport)
-
-        self._init_resources()
-
-        if self.user.get() is None:
-            warn(
-                SpeckleWarning(
-                    f"Possibly invalid token - could not authenticate Speckle Client for server {self.url}"
-                )
-            )
-
-    def execute_query(self, query: str) -> Dict:
-        return self.httpclient.execute(query)
-
-    def _init_resources(self) -> None:
-        self.server = server.Resource(
-            account=self.account, basepath=self.url, client=self.httpclient
-        )
-        server_version = None
-        try:
-            server_version = self.server.version()
-        except:
-            pass
-        self.user = user.Resource(
-            account=self.account,
-            basepath=self.url,
-            client=self.httpclient,
-            server_version=server_version,
-        )
-        self.stream = stream.Resource(
-            account=self.account,
-            basepath=self.url,
-            client=self.httpclient,
-            server_version=server_version,
-        )
-        self.commit = commit.Resource(
-            account=self.account, basepath=self.url, client=self.httpclient
-        )
-        self.branch = branch.Resource(
-            account=self.account, basepath=self.url, client=self.httpclient
-        )
-        self.object = object.Resource(
-            account=self.account, basepath=self.url, client=self.httpclient
-        )
-        self.subscribe = subscriptions.Resource(
-            account=self.account,
-            basepath=self.ws_url,
-            client=self.wsclient,
-        )
-
-    def __getattr__(self, name):
-        try:
-            attr = getattr(resources, name)
-            return attr.Resource(
-                account=self.account, basepath=self.url, client=self.httpclient
-            )
-        except:
-            raise SpeckleException(
-                f"Method {name} is not supported by the SpeckleClient class"
-            )

specklepy/api/credentials.py

@@ -1,135 +0,0 @@
-import os
-from pydantic import BaseModel, Field  # pylint: disable=no-name-in-module
-from typing import List, Optional
-from specklepy.logging import metrics
-from specklepy.api.models import ServerInfo
-from specklepy.transports.sqlite import SQLiteTransport
-from specklepy.logging.exceptions import SpeckleException
-
-
-class UserInfo(BaseModel):
-    name: Optional[str]
-    email: Optional[str]
-    company: Optional[str]
-    id: Optional[str]
-
-
-class Account(BaseModel):
-    isDefault: bool = False
-    token: Optional[str] = None
-    refreshToken: Optional[str] = None
-    serverInfo: ServerInfo = Field(default_factory=ServerInfo)
-    userInfo: UserInfo = Field(default_factory=UserInfo)
-    id: Optional[str] = None
-
-    def __repr__(self) -> str:
-        return f"Account(email: {self.userInfo.email}, server: {self.serverInfo.url}, isDefault: {self.isDefault})"
-
-    def __str__(self) -> str:
-        return self.__repr__()
-
-    @classmethod
-    def from_token(cls, token: str, server_url: str = None):
-        acct = cls(token=token)
-        acct.serverInfo.url = server_url
-        return acct
-
-
-def get_local_accounts(base_path: str = None) -> List[Account]:
-    """Gets all the accounts present in this environment
-
-    Arguments:
-        base_path {str} -- custom base path if you are not using the system default
-
-    Returns:
-        List[Account] -- list of all local accounts or an empty list if no accounts were found
-    """
-    account_storage = SQLiteTransport(scope="Accounts", base_path=base_path)
-    # pylint: disable=protected-access
-    json_path = os.path.join(account_storage._base_path, "Accounts")
-    os.makedirs(json_path, exist_ok=True)
-    json_acct_files = [file for file in os.listdir(json_path) if file.endswith(".json")]
-
-    accounts: List[Account] = []
-    res = account_storage.get_all_objects()
-    account_storage.close()
-
-    if res:
-        accounts.extend(Account.parse_raw(r[1]) for r in res)
-    if json_acct_files:
-        try:
-            accounts.extend(
-                Account.parse_file(os.path.join(json_path, json_file))
-                for json_file in json_acct_files
-            )
-        except Exception as ex:
-            raise SpeckleException(
-                "Invalid json accounts could not be read. Please fix or remove them.",
-                ex,
-            ) from ex
-
-    metrics.track(
-        metrics.ACCOUNTS,
-        next(
-            (acc for acc in accounts if acc.isDefault),
-            accounts[0] if accounts else None,
-        ),
-    )
-
-    return accounts
-
-
-def get_default_account(base_path: str = None) -> Account:
-    """Gets this environment's default account if any. If there is no default, the first found will be returned and set as default.
-    Arguments:
-        base_path {str} -- custom base path if you are not using the system default
-
-    Returns:
-        Account -- the default account or None if no local accounts were found
-    """
-    accounts = get_local_accounts(base_path=base_path)
-    if not accounts:
-        return None
-
-    default = next((acc for acc in accounts if acc.isDefault), None)
-    if not default:
-        default = accounts[0]
-        default.isDefault = True
-    metrics.initialise_tracker(default)
-
-    return default
-
-
-def get_account_from_token(token: str, server_url: str = None) -> Account:
-    """Gets the local account for the token if it exists
-    Arguments:
-        token {str} -- the api token
-
-    Returns:
-        Account -- the local account with this token or a shell account containing just the token and url if no local account is found
-    """
-    accounts = get_local_accounts()
-    if not accounts:
-        return Account.from_token(token, server_url)
-
-    acct = next((acc for acc in accounts if acc.token == token), None)
-    if acct:
-        return acct
-
-    if server_url:
-        url = server_url.lower()
-        acct = next(
-            (acc for acc in accounts if url in acc.serverInfo.url.lower()), None
-        )
-        if acct:
-            return acct
-
-    return Account.from_token(token, server_url)
-
-
-class StreamWrapper:
-    def __init__(self, url: str = None) -> None:
-        raise SpeckleException(
-            message="The StreamWrapper has moved as of v2.6.0! Please import from specklepy.api.wrapper",
-            exception=DeprecationWarning,
-        )

specklepy/api/models.py

@@ -1,170 +0,0 @@
-# generated by datamodel-codegen:
-#   filename:  stream_schema.json
-#   timestamp: 2020-11-17T14:33:13+00:00
-
-from datetime import datetime
-from typing import List, Optional
-
-
-from pydantic import BaseModel  # pylint: disable=no-name-in-module
-
-
-class Collaborator(BaseModel):
-    id: Optional[str]
-    name: Optional[str]
-    role: Optional[str]
-    avatar: Optional[str]
-
-
-class Commit(BaseModel):
-    id: Optional[str]
-    message: Optional[str]
-    authorName: Optional[str]
-    authorId: Optional[str]
-    authorAvatar: Optional[str]
-    branchName: Optional[str]
-    createdAt: Optional[datetime]
-    sourceApplication: Optional[str]
-    referencedObject: Optional[str]
-    totalChildrenCount: Optional[int]
-    parents: Optional[List[str]]
-
-    def __repr__(self) -> str:
-        return f"Commit( id: {self.id}, message: {self.message}, referencedObject: {self.referencedObject}, authorName: {self.authorName}, branchName: {self.branchName}, createdAt: {self.createdAt} )"
-
-    def __str__(self) -> str:
-        return self.__repr__()
-
-
-class Commits(BaseModel):
-    totalCount: Optional[int]
-    cursor: Optional[datetime]
-    items: List[Commit] = []
-
-
-class Object(BaseModel):
-    id: Optional[str]
-    speckleType: Optional[str]
-    applicationId: Optional[str]
-    totalChildrenCount: Optional[int]
-    createdAt: Optional[datetime]
-
-
-class Branch(BaseModel):
-    id: Optional[str]
-    name: Optional[str]
-    description: Optional[str]
-    commits: Optional[Commits]
-
-
-class Branches(BaseModel):
-    totalCount: Optional[int]
-    cursor: Optional[datetime]
-    items: List[Branch] = []
-
-
-class Stream(BaseModel):
-    id: Optional[str]
-    name: Optional[str]
-    role: Optional[str]
-    isPublic: Optional[bool]
-    description: Optional[str]
-    createdAt: Optional[datetime]
-    updatedAt: Optional[datetime]
-    collaborators: List[Collaborator] = []
-    branches: Optional[Branches]
-    commit: Optional[Commit]
-    object: Optional[Object]
-    commentCount: Optional[int]
-    favoritedDate: Optional[datetime]
-    favoritesCount: Optional[int]
-
-    def __repr__(self):
-        return f"Stream( id: {self.id}, name: {self.name}, description: {self.description}, isPublic: {self.isPublic})"
-
-    def __str__(self) -> str:
-        return self.__repr__()
-
-
-class Streams(BaseModel):
-    totalCount: Optional[int]
-    cursor: Optional[datetime]
-    items: List[Stream] = []
-
-
-class User(BaseModel):
-    id: Optional[str]
-    email: Optional[str]
-    name: Optional[str]
-    bio: Optional[str]
-    company: Optional[str]
-    avatar: Optional[str]
-    verified: Optional[bool]
-    role: Optional[str]
-    streams: Optional[Streams]
-
-    def __repr__(self):
-        return f"User( id: {self.id}, name: {self.name}, email: {self.email}, company: {self.company} )"
-
-    def __str__(self) -> str:
-        return self.__repr__()
-
-
-class PendingStreamCollaborator(BaseModel):
-    id: Optional[str]
-    inviteId: Optional[str]
-    streamId: Optional[str]
-    streamName: Optional[str]
-    title: Optional[str]
-    role: Optional[str]
-    invitedBy: Optional[User]
-    user: Optional[User]
-    token: Optional[str]
-
-    def __repr__(self):
-        return f"PendingStreamCollaborator( inviteId: {self.inviteId}, streamId: {self.streamId}, role: {self.role}, title: {self.title}, invitedBy: {self.user.name if self.user else None})"
-
-    def __str__(self) -> str:
-        return self.__repr__()
-
-
-class Activity(BaseModel):
-    actionType: Optional[str]
-    info: Optional[dict]
-    userId: Optional[str]
-    streamId: Optional[str]
-    resourceId: Optional[str]
-    resourceType: Optional[str]
-    message: Optional[str]
-    time: Optional[datetime]
-
-    def __repr__(self) -> str:
-        return f"Activity( streamId: {self.streamId}, actionType: {self.actionType}, message: {self.message}, userId: {self.userId} )"
-
-    def __str__(self) -> str:
-        return self.__repr__()
-
-
-class ActivityCollection(BaseModel):
-    totalCount: Optional[int]
-    items: Optional[List[Activity]]
-    cursor: Optional[datetime]
-
-    def __repr__(self) -> str:
-        return f"ActivityCollection( totalCount: {self.totalCount}, items: {len(self.items) if self.items else 0}, cursor: {self.cursor.isoformat() if self.cursor else None} )"
-
-    def __str__(self) -> str:
-        return self.__repr__()
-
-
-class ServerInfo(BaseModel):
-    name: Optional[str]
-    company: Optional[str]
-    url: Optional[str]
-    description: Optional[str]
-    adminContact: Optional[str]
-    canonicalUrl: Optional[str]
-    roles: Optional[List[dict]]
-    scopes: Optional[List[dict]]
-    authStrategies: Optional[List[dict]]
-    version: Optional[str]

specklepy/api/resources/__init__.py

@@ -1,12 +0,0 @@
-from pathlib import Path
-import sys
-import pkgutil
-from importlib import import_module
-
-
-for (_, name, _) in pkgutil.iter_modules(__path__):
-
-    imported_module = import_module("." + name, package=__name__)
-
-    if hasattr(imported_module, "Resource"):
-        setattr(sys.modules[__name__], name, imported_module)

specklepy/api/resources/branch.py

@@ -1,214 +0,0 @@
-from gql import gql
-from specklepy.api.resource import ResourceBase
-from specklepy.api.models import Branch
-from specklepy.logging import metrics
-
-NAME = "branch"
-
-
-class Resource(ResourceBase):
-    """API Access class for branches"""
-
-    def __init__(self, account, basepath, client) -> None:
-        super().__init__(
-            account=account,
-            basepath=basepath,
-            client=client,
-            name=NAME,
-        )
-        self.schema = Branch
-
-    def create(
-        self, stream_id: str, name: str, description: str = "No description provided"
-    ) -> str:
-        """Create a new branch on this stream
-
-        Arguments:
-            name {str} -- the name of the new branch
-            description {str} -- a short description of the branch
-
-        Returns:
-            id {str} -- the newly created branch's id
-        """
-        metrics.track(metrics.BRANCH, self.account, {"name": "create"})
-        query = gql(
-            """
-            mutation BranchCreate($branch: BranchCreateInput!) {
-              branchCreate(branch: $branch)
-            }
-          """
-        )
-        params = {
-            "branch": {
-                "streamId": stream_id,
-                "name": name,
-                "description": description,
-            }
-        }
-
-        return self.make_request(
-            query=query, params=params, return_type="branchCreate", parse_response=False
-        )
-
-    def get(self, stream_id: str, name: str, commits_limit: int = 10):
-        """Get a branch by name from a stream
-
-        Arguments:
-            stream_id {str} -- the id of the stream to get the branch from
-            name {str} -- the name of the branch to get
-            commits_limit {int} -- maximum number of commits to get
-
-        Returns:
-            Branch -- the fetched branch with its latest commits
-        """
-        metrics.track(metrics.BRANCH, self.account, {"name": "get"})
-        query = gql(
-            """
-            query BranchGet($stream_id: String!, $name: String!, $commits_limit: Int!) {
-                stream(id: $stream_id) {
-                        branch(name: $name) {
-                          id,
-                          name,
-                          description,
-                          commits (limit: $commits_limit) {
-                            totalCount,
-                            cursor,
-                            items {
-                              id,
-                              referencedObject,
-                              sourceApplication,
-                              totalChildrenCount,
-                              message,
-                              authorName,
-                              authorId,
-                              branchName,
-                              parents,
-                              createdAt
-                            }
-                        }
-                    }                      
-                }
-            }
-            """
-        )
-
-        params = {"stream_id": stream_id, "name": name, "commits_limit": commits_limit}
-
-        return self.make_request(
-            query=query, params=params, return_type=["stream", "branch"]
-        )
-
-    def list(self, stream_id: str, branches_limit: int = 10, commits_limit: int = 10):
-        """Get a list of branches from a given stream
-
-        Arguments:
-            stream_id {str} -- the id of the stream to get the branches from
-            branches_limit {int} -- maximum number of branches to get
-            commits_limit {int} -- maximum number of commits to get
-
-        Returns:
-            List[Branch] -- the branches on the stream
-        """
-        metrics.track(metrics.BRANCH, self.account, {"name": "get"})
-        query = gql(
-            """
-            query BranchesGet($stream_id: String!, $branches_limit: Int!, $commits_limit: Int!) {
-                stream(id: $stream_id) {
-                    branches(limit: $branches_limit) {
-                        items {
-                            id
-                            name
-                            description
-                            commits(limit: $commits_limit) {
-                                totalCount
-                                items{
-                                    id
-                                    message
-                                    referencedObject
-                                    sourceApplication
-                                    parents
-                                    authorId
-                                    authorName
-                                    branchName
-                                    createdAt
-                                }
-                            }
-                        }
-                    }
-                }
-            }
-            """
-        )
-
-        params = {
-            "stream_id": stream_id,
-            "branches_limit": branches_limit,
-            "commits_limit": commits_limit,
-        }
-
-        return self.make_request(
-            query=query, params=params, return_type=["stream", "branches", "items"]
-        )
-
-    def update(
-        self, stream_id: str, branch_id: str, name: str = None, description: str = None
-    ):
-        """Update a branch
-
-        Arguments:
-            stream_id {str} -- the id of the stream containing the branch to update
-            branch_id {str} -- the id of the branch to update
-            name {str} -- optional: the updated branch name
-            description {str} -- optional: the updated branch description
-
-        Returns:
-            bool -- True if update is successful
-        """
-        metrics.track(metrics.BRANCH, self.account, {"name": "update"})
-        query = gql(
-            """
-            mutation  BranchUpdate($branch: BranchUpdateInput!) {
-                branchUpdate(branch: $branch)
-                }
-            """
-        )
-        params = {
-            "branch": {
-                "streamId": stream_id,
-                "id": branch_id,
-            }
-        }
-
-        if name:
-            params["branch"]["name"] = name
-        if description:
-            params["branch"]["description"] = description
-
-        return self.make_request(
-            query=query, params=params, return_type="branchUpdate", parse_response=False
-        )
-
-    def delete(self, stream_id: str, branch_id: str):
-        """Delete a branch
-
-        Arguments:
-            stream_id {str} -- the id of the stream containing the branch to delete
-            branch_id {str} -- the branch to delete
-
-        Returns:
-            bool -- True if deletion is successful
-        """
-        metrics.track(metrics.BRANCH, self.account, {"name": "delete"})
-        query = gql(
-            """
-            mutation BranchDelete($branch: BranchDeleteInput!) {
-                branchDelete(branch: $branch)
-            }
-            """
-        )
-
-        params = {"branch": {"streamId": stream_id, "id": branch_id}}
-
-        return self.make_request(
-            query=query, params=params, return_type="branchDelete", parse_response=False
-        )

specklepy/api/resources/commit.py

@@ -1,233 +0,0 @@
-from typing import Optional, List
-from gql import gql
-from specklepy.api.resource import ResourceBase
-from specklepy.api.models import Commit
-from specklepy.logging import metrics
-
-
-NAME = "commit"
-
-
-class Resource(ResourceBase):
-    """API Access class for commits"""
-
-    def __init__(self, account, basepath, client) -> None:
-        super().__init__(
-            account=account,
-            basepath=basepath,
-            client=client,
-            name=NAME,
-        )
-        self.schema = Commit
-
-    def get(self, stream_id: str, commit_id: str) -> Commit:
-        """
-        Gets a commit given a stream and the commit id
-
-        Arguments:
-            stream_id {str} -- the stream where we can find the commit
-            commit_id {str} -- the id of the commit you want to get
-
-        Returns:
-            Commit -- the retrieved commit object
-        """
-        query = gql(
-            """
-            query Commit($stream_id: String!, $commit_id: String!) {
-                stream(id: $stream_id) {
-                    commit(id: $commit_id) {
-                        id
-                        message
-                        referencedObject
-                        authorId
-                        authorName
-                        authorAvatar
-                        branchName
-                        createdAt
-                        sourceApplication
-                        totalChildrenCount
-                        parents
-                    }
-                }
-            }
-            """
-        )
-        params = {"stream_id": stream_id, "commit_id": commit_id}
-
-        return self.make_request(
-            query=query, params=params, return_type=["stream", "commit"]
-        )
-
-    def list(self, stream_id: str, limit: int = 10) -> List[Commit]:
-        """
-        Get a list of commits on a given stream
-
-        Arguments:
-            stream_id {str} -- the stream where the commits are
-            limit {int} -- the maximum number of commits to fetch (default = 10)
-
-        Returns:
-            List[Commit] -- a list of the most recent commit objects
-        """
-        metrics.track(metrics.COMMIT, self.account, {"name": "get"})
-        query = gql(
-            """
-            query Commits($stream_id: String!, $limit: Int!) {
-                stream(id: $stream_id) {
-                    commits(limit: $limit) {
-                        items {
-                            id
-                            message
-                            referencedObject
-                            authorName
-                            authorId
-                            authorName
-                            authorAvatar
-                            branchName
-                            createdAt
-                            sourceApplication
-                            totalChildrenCount
-                            parents
-                        }
-                    }
-                }
-            }
-            """
-        )
-        params = {"stream_id": stream_id, "limit": limit}
-
-        return self.make_request(
-            query=query, params=params, return_type=["stream", "commits", "items"]
-        )
-
-    def create(
-        self,
-        stream_id: str,
-        object_id: str,
-        branch_name: str = "main",
-        message: str = "",
-        source_application: str = "python",
-        parents: List[str] = None,
-    ) -> str:
-        """
-        Creates a commit on a branch
-
-        Arguments:
-            stream_id {str} -- the stream you want to commit to
-            object_id {str} -- the hash of your commit object
-            branch_name {str} -- the name of the branch to commit to (defaults to "main")
-            message {str} -- optional: a message to give more information about the commit
-            source_application{str} -- optional: the application from which the commit was created (defaults to "python")
-            parents {List[str]} -- optional: the id of the parent commits
-
-        Returns:
-            str -- the id of the created commit
-        """
-        metrics.track(metrics.COMMIT, self.account, {"name": "create"})
-        query = gql(
-            """
-            mutation CommitCreate ($commit: CommitCreateInput!){ commitCreate(commit: $commit)}
-            """
-        )
-        params = {
-            "commit": {
-                "streamId": stream_id,
-                "branchName": branch_name,
-                "objectId": object_id,
-                "message": message,
-                "sourceApplication": source_application,
-            }
-        }
-        if parents:
-            params["commit"]["parents"] = parents
-
-        return self.make_request(
-            query=query, params=params, return_type="commitCreate", parse_response=False
-        )
-
-    def update(self, stream_id: str, commit_id: str, message: str) -> bool:
-        """
-        Update a commit
-
-        Arguments:
-            stream_id {str} -- the id of the stream that contains the commit you'd like to update
-            commit_id {str} -- the id of the commit you'd like to update
-            message {str} -- the updated commit message
-
-        Returns:
-            bool -- True if the operation succeeded
-        """
-        metrics.track(metrics.COMMIT, self.account, {"name": "update"})
-        query = gql(
-            """
-            mutation CommitUpdate($commit: CommitUpdateInput!){ commitUpdate(commit: $commit)}
-            """
-        )
-        params = {
-            "commit": {"streamId": stream_id, "id": commit_id, "message": message}
-        }
-
-        return self.make_request(
-            query=query, params=params, return_type="commitUpdate", parse_response=False
-        )
-
-    def delete(self, stream_id: str, commit_id: str) -> bool:
-        """
-        Delete a commit
-
-        Arguments:
-            stream_id {str} -- the id of the stream that contains the commit you'd like to delete
-            commit_id {str} -- the id of the commit you'd like to delete
-
-        Returns:
-            bool -- True if the operation succeeded
-        """
-        metrics.track(metrics.COMMIT, self.account, {"name": "delete"})
-        query = gql(
-            """
-            mutation CommitDelete($commit: CommitDeleteInput!){ commitDelete(commit: $commit)}
-            """
-        )
-        params = {"commit": {"streamId": stream_id, "id": commit_id}}
-
-        return self.make_request(
-            query=query, params=params, return_type="commitDelete", parse_response=False
-        )
-
-    def received(
-        self,
-        stream_id: str,
-        commit_id: str,
-        source_application: str = "python",
-        message: Optional[str] = None,
-    ) -> bool:
-        """
-        Mark a commit object a received by the source application.
-        """
-        metrics.track(metrics.COMMIT, self.account, {"name": "received"})
-        query = gql(
-            """
-            mutation CommitReceive($receivedInput:CommitReceivedInput!){
-                commitReceive(input:$receivedInput)
-            }
-            """
-        )
-        params = {
-            "receivedInput": {
-                "sourceApplication": source_application,
-                "streamId": stream_id,
-                "commitId": commit_id,
-                "message": "message",
-            }
-        }
-
-        try:
-            return self.make_request(
-                query=query,
-                params=params,
-                return_type="commitReceive",
-                parse_response=False,
-            )
-        except Exception as ex:
-            print(ex.with_traceback)
-            return False

specklepy/api/resources/object.py

@@ -1,83 +0,0 @@
-from typing import Dict, List
-from gql import gql
-from specklepy.api.resource import ResourceBase
-from specklepy.objects.base import Base
-
-NAME = "object"
-
-
-class Resource(ResourceBase):
-    """API Access class for objects"""
-
-    def __init__(self, account, basepath, client) -> None:
-        super().__init__(
-            account=account,
-            basepath=basepath,
-            client=client,
-            name=NAME,
-        )
-        self.schema = Base
-
-    def get(self, stream_id: str, object_id: str) -> Base:
-        """
-        Get a stream object
-
-        Arguments:
-            stream_id {str} -- the id of the stream for the object
-            object_id {str} -- the hash of the object you want to get
-
-        Returns:
-            Base -- the returned Base object
-        """
-        query = gql(
-            """
-            query Object($stream_id: String!, $object_id: String!) {
-              stream(id: $stream_id) {
-                id
-                name
-                object(id: $object_id) {
-                  id
-                  speckleType
-                  applicationId
-                  createdAt
-                  totalChildrenCount
-                  data
-                }
-              }
-            }
-          """
-        )
-        params = {"stream_id": stream_id, "object_id": object_id}
-
-        return self.make_request(
-            query=query,
-            params=params,
-            return_type=["stream", "object", "data"],
-        )
-
-    def create(self, stream_id: str, objects: List[Dict]) -> str:
-        """
-        Not advised - generally, you want to use `operations.send()`.
-
-        Create a new object on a stream. To send a base object, you can prepare it by running it through the
-        `BaseObjectSerializer.traverse_base()` function to get a valid (serialisable) object to send.
-
-        NOTE: this does not create a commit - you can create one with `SpeckleClient.commit.create`. Dynamic fields will be located in the 'data' dict of the received `Base` object
-
-        Arguments:
-            stream_id {str} -- the id of the stream you want to send the object to
-            objects {List[Dict]} -- a list of base dictionary objects (NOTE: must be json serialisable)
-
-        Returns:
-            str -- the id of the object
-        """
-        query = gql(
-            """
-          mutation ObjectCreate($object_input: ObjectCreateInput!) { objectCreate(objectInput: $object_input) }
-          """
-        )
-        params = {"object_input": {"streamId": stream_id, "objects": objects}}
-
-        return self.make_request(
-            query=query, params=params, return_type="objectCreate", parse_response=False
-        )

specklepy/api/resources/stream.py

@@ -1,775 +0,0 @@
-from datetime import datetime, timezone
-from typing import List, Optional
-from deprecated import deprecated
-from gql import gql
-from specklepy.logging import metrics
-from specklepy.api.models import ActivityCollection, PendingStreamCollaborator, Stream
-from specklepy.api.resource import ResourceBase
-from specklepy.logging.exceptions import UnsupportedException, SpeckleException
-
-
-NAME = "stream"
-
-
-class Resource(ResourceBase):
-    """API Access class for streams"""
-
-    def __init__(self, account, basepath, client, server_version) -> None:
-        super().__init__(
-            account=account,
-            basepath=basepath,
-            client=client,
-            name=NAME,
-            server_version=server_version,
-        )
-
-        self.schema = Stream
-
-    def get(self, id: str, branch_limit: int = 10, commit_limit: int = 10) -> Stream:
-        """Get the specified stream from the server
-
-        Arguments:
-            id {str} -- the stream id
-            branch_limit {int} -- the maximum number of branches to return
-            commit_limit {int} -- the maximum number of commits to return
-
-        Returns:
-            Stream -- the retrieved stream
-        """
-        metrics.track(metrics.STREAM, self.account, {"name": "get"})
-        query = gql(
-            """
-            query Stream($id: String!, $branch_limit: Int!, $commit_limit: Int!) {
-                stream(id: $id) {
-                    id
-                    name
-                    role
-                    description
-                    isPublic
-                    createdAt
-                    updatedAt
-                    commentCount
-                    favoritesCount
-                    collaborators {
-                        id
-                        name
-                        role
-                        avatar
-                    }
-                    branches(limit: $branch_limit) {
-                        totalCount
-                        cursor
-                        items {
-                            id
-                            name
-                            description
-                            commits(limit: $commit_limit) {
-                                totalCount
-                                cursor
-                                items {
-                                    id
-                                    message
-                                    authorId
-                                    createdAt
-                                    authorName
-                                    referencedObject
-                                    sourceApplication
-                                }
-                              }
-                          }
-                      }
-                }
-            }
-          """
-        )
-
-        params = {"id": id, "branch_limit": branch_limit, "commit_limit": commit_limit}
-
-        return self.make_request(query=query, params=params, return_type="stream")
-
-    def list(self, stream_limit: int = 10) -> List[Stream]:
-        """Get a list of the user's streams
-
-        Arguments:
-            stream_limit {int} -- The maximum number of streams to return
-
-        Returns:
-            List[Stream] -- A list of Stream objects
-        """
-        metrics.track(metrics.STREAM, self.account, {"name": "get"})
-        query = gql(
-            """
-            query User($stream_limit: Int!) {
-                user {
-                    id
-                    bio
-                    name
-                    email
-                    avatar
-                    company
-                    verified
-                    profiles
-                    role
-                    streams(limit: $stream_limit) {
-                        totalCount
-                        cursor
-                        items {
-                            id
-                            name
-                            role
-                            isPublic
-                            createdAt
-                            updatedAt
-                            description
-                            commentCount
-                            favoritesCount
-                            collaborators {
-                                id
-                                name
-                                role
-                            }
-                          }
-                      }
-                  }
-            }
-          """
-        )
-
-        params = {"stream_limit": stream_limit}
-
-        return self.make_request(
-            query=query, params=params, return_type=["user", "streams", "items"]
-        )
-
-    def create(
-        self,
-        name: str = "Anonymous Python Stream",
-        description: str = "No description provided",
-        is_public: bool = True,
-    ) -> str:
-        """Create a new stream
-
-        Arguments:
-            name {str} -- the name of the string
-            description {str} -- a short description of the stream
-            is_public {bool} -- whether or not the stream can be viewed by anyone with the id
-
-        Returns:
-            id {str} -- the id of the newly created stream
-        """
-        metrics.track(metrics.STREAM, self.account, {"name": "create"})
-        query = gql(
-            """
-            mutation StreamCreate($stream: StreamCreateInput!) {
-              streamCreate(stream: $stream)
-            }
-        """
-        )
-
-        params = {
-            "stream": {"name": name, "description": description, "isPublic": is_public}
-        }
-
-        return self.make_request(
-            query=query, params=params, return_type="streamCreate", parse_response=False
-        )
-
-    def update(
-        self, id: str, name: str = None, description: str = None, is_public: bool = None
-    ) -> bool:
-        """Update an existing stream
-
-        Arguments:
-            id {str} -- the id of the stream to be updated
-            name {str} -- the name of the string
-            description {str} -- a short description of the stream
-            is_public {bool} -- whether or not the stream can be viewed by anyone with the id
-
-        Returns:
-            bool -- whether the stream update was successful
-        """
-        metrics.track(metrics.STREAM, self.account, {"name": "update"})
-        query = gql(
-            """
-            mutation StreamUpdate($stream: StreamUpdateInput!) {
-                streamUpdate(stream: $stream)
-            }
-        """
-        )
-
-        params = {
-            "id": id,
-            "name": name,
-            "description": description,
-            "isPublic": is_public,
-        }
-        # remove None values so graphql doesn't cry
-        params = {"stream": {k: v for k, v in params.items() if v is not None}}
-
-        return self.make_request(
-            query=query, params=params, return_type="streamUpdate", parse_response=False
-        )
-
-    def delete(self, id: str) -> bool:
-        """Delete a stream given its id
-
-        Arguments:
-            id {str} -- the id of the stream to delete
-
-        Returns:
-            bool -- whether the deletion was successful
-        """
-        metrics.track(metrics.STREAM, self.account, {"name": "delete"})
-        query = gql(
-            """
-            mutation StreamDelete($id: String!) {
-                streamDelete(id: $id)
-            }
-            """
-        )
-
-        params = {"id": id}
-
-        return self.make_request(
-            query=query, params=params, return_type="streamDelete", parse_response=False
-        )
-
-    def search(
-        self,
-        search_query: str,
-        limit: int = 25,
-        branch_limit: int = 10,
-        commit_limit: int = 10,
-    ):
-        """Search for streams by name, description, or id
-
-        Arguments:
-            search_query {str} -- a string to search for
-            limit {int} -- the maximum number of results to return
-            branch_limit {int} -- the maximum number of branches to return
-            commit_limit {int} -- the maximum number of commits to return
-
-        Returns:
-            List[Stream] -- a list of Streams that match the search query
-        """
-        metrics.track(metrics.STREAM, self.account, {"name": "search"})
-        query = gql(
-            """
-            query StreamSearch($search_query: String!,$limit: Int!, $branch_limit:Int!, $commit_limit:Int!) {
-                streams(query: $search_query, limit: $limit) {
-                    items {
-                        id
-                        name
-                        role
-                        description
-                        isPublic
-                        createdAt
-                        updatedAt
-                        collaborators {
-                            id
-                            name
-                            role
-                            avatar
-                        }
-                        branches(limit: $branch_limit) {
-                            totalCount
-                            cursor
-                            items {
-                                id
-                                name
-                                description
-                                commits(limit: $commit_limit) {
-                                    totalCount
-                                    cursor
-                                    items {
-                                        id
-                                        referencedObject
-                                        message
-                                        authorName
-                                        authorId
-                                        createdAt
-                                    }
-                                }
-                            }
-                        }
-                    }
-                }
-            }
-          """
-        )
-
-        params = {
-            "search_query": search_query,
-            "limit": limit,
-            "branch_limit": branch_limit,
-            "commit_limit": commit_limit,
-        }
-
-        return self.make_request(
-            query=query, params=params, return_type=["streams", "items"]
-        )
-
-    def favorite(self, stream_id: str, favorited: bool = True):
-        """Favorite or unfavorite the given stream.
-
-        Arguments:
-            stream_id {str} -- the id of the stream to favorite / unfavorite
-            favorited {bool} -- whether to favorite (True) or unfavorite (False) the stream
-
-        Returns:
-            Stream -- the stream with its `id`, `name`, and `favoritedDate`
-        """
-        metrics.track(metrics.STREAM, self.account, {"name": "favorite"})
-        query = gql(
-            """
-            mutation StreamFavorite($stream_id: String!, $favorited: Boolean!) {
-                streamFavorite(streamId: $stream_id, favorited: $favorited) {
-                    id
-                    name
-                    favoritedDate
-                    favoritesCount
-                }
-            }
-            """
-        )
-
-        params = {
-            "stream_id": stream_id,
-            "favorited": favorited,
-        }
-
-        return self.make_request(
-            query=query, params=params, return_type=["streamFavorite"]
-        )
-
-    @deprecated(
-        version="2.6.4",
-        reason=(
-            "As of Speckle Server v2.6.4, this method is deprecated. "
-            "Users need to be invited and accept the invite before being added to a stream"
-        ),
-    )
-    def grant_permission(self, stream_id: str, user_id: str, role: str):
-        """Grant permissions to a user on a given stream
-
-        Valid for Speckle Server version < 2.6.4
-
-        Arguments:
-            stream_id {str} -- the id of the stream to grant permissions to
-            user_id {str} -- the id of the user to grant permissions for
-            role {str} -- the role to grant the user
-
-        Returns:
-            bool -- True if the operation was successful
-        """
-        metrics.track(metrics.PERMISSION, self.account, {"name": "add", "role": role})
-        # we're checking for the actual version info, and if the version is 'dev' we treat it
-        # as an up to date instance
-        if self.server_version and (
-            self.server_version == ("dev",) or self.server_version >= (2, 6, 4)
-        ):
-            raise UnsupportedException(
-                (
-                    "Server mutation `grant_permission` is no longer supported as of Speckle Server v2.6.4. "
-                    "Please use the new `update_permission` method to change an existing user's permission "
-                    "or use the `invite` method to invite a user to a stream."
-                )
-            )
-
-        query = gql(
-            """
-            mutation StreamGrantPermission($permission_params: StreamGrantPermissionInput !) {
-                streamGrantPermission(permissionParams: $permission_params)
-            }
-            """
-        )
-
-        params = {
-            "permission_params": {
-                "streamId": stream_id,
-                "userId": user_id,
-                "role": role,
-            }
-        }
-
-        return self.make_request(
-            query=query,
-            params=params,
-            return_type="streamGrantPermission",
-            parse_response=False,
-        )
-
-    def get_all_pending_invites(
-        self, stream_id: str
-    ) -> List[PendingStreamCollaborator]:
-        """Get all of the pending invites on a stream.
-        You must be a `stream:owner` to query this.
-
-        Requires Speckle Server version >= 2.6.4
-
-        Arguments:
-            stream_id {str} -- the stream id from which to get the pending invites
-
-        Returns:
-            List[PendingStreamCollaborator] -- a list of pending invites for the specified stream
-        """
-        metrics.track(metrics.INVITE, self.account, {"name": "get"})
-        self._check_invites_supported()
-
-        query = gql(
-            """
-            query StreamInvites($streamId: String!) {
-                stream(id: $streamId){
-                    pendingCollaborators {
-                        id
-                        token
-                        inviteId
-                        streamId
-                        streamName
-                        title
-                        role
-                        invitedBy{
-                            id
-                            name
-                            company
-                            avatar
-                        }
-                        user {
-                            id
-                            name
-                            company
-                            avatar
-                        }
-                    }
-                }
-            }
-            """
-        )
-        params = {"streamId": stream_id}
-
-        return self.make_request(
-            query=query,
-            params=params,
-            return_type=["stream", "pendingCollaborators"],
-            schema=PendingStreamCollaborator,
-        )
-
-    def invite(
-        self,
-        stream_id: str,
-        email: str = None,
-        user_id: str = None,
-        role: str = "stream:contributor",  # should default be reviewer?
-        message: str = None,
-    ):
-        """Invite someone to a stream using either their email or user id
-
-        Requires Speckle Server version >= 2.6.4
-
-        Arguments:
-            stream_id {str} -- the id of the stream to invite the user to
-            email {str} -- the email of the user to invite (use this OR `user_id`)
-            user_id {str} -- the id of the user to invite (use this OR `email`)
-            role {str} -- the role to assign to the user (defaults to `stream:contributor`)
-            message {str} -- a message to send along with this invite to the specified user
-
-        Returns:
-            bool -- True if the operation was successful
-        """
-        metrics.track(metrics.INVITE, self.account, {"name": "create"})
-        self._check_invites_supported()
-
-        if email is None and user_id is None:
-            raise SpeckleException(
-                "You must provide either an email or a user id to use the `stream.invite` method"
-            )
-
-        query = gql(
-            """
-            mutation StreamInviteCreate($input: StreamInviteCreateInput!) {
-                streamInviteCreate(input: $input)
-            }
-            """
-        )
-
-        params = {
-            "email": email,
-            "userId": user_id,
-            "streamId": stream_id,
-            "message": message,
-            "role": role,
-        }
-        params = {"input": {k: v for k, v in params.items() if v is not None}}
-
-        return self.make_request(
-            query=query,
-            params=params,
-            return_type="streamInviteCreate",
-            parse_response=False,
-        )
-
-    def invite_batch(
-        self,
-        stream_id: str,
-        emails: List[str] = None,
-        user_ids: List[None] = None,
-        message: str = None,
-    ) -> bool:
-        """Invite a batch of users to a specified stream.
-
-        Requires Speckle Server version >= 2.6.4
-
-        Arguments:
-            stream_id {str} -- the id of the stream to invite the user to
-            emails {List[str]} -- the email of the user to invite (use this and/or `user_ids`)
-            user_id {List[str]} -- the id of the user to invite (use this and/or `emails`)
-            message {str} -- a message to send along with this invite to the specified user
-
-        Returns:
-            bool -- True if the operation was successful
-        """
-        metrics.track(metrics.INVITE, self.account, {"name": "batch create"})
-        self._check_invites_supported()
-        if emails is None and user_ids is None:
-            raise SpeckleException(
-                "You must provide either an email or a user id to use the `stream.invite` method"
-            )
-
-        query = gql(
-            """
-            mutation StreamInviteBatchCreate($input: [StreamInviteCreateInput!]!) {
-                streamInviteBatchCreate(input: $input)
-            }
-            """
-        )
-
-        email_invites = [
-            {"streamId": stream_id, "message": message, "email": email}
-            for email in emails
-            if emails is not None
-        ]
-
-        user_invites = [
-            {"streamId": stream_id, "message": message, "userId": user_id}
-            for user_id in user_ids
-            if user_ids is not None
-        ]
-
-        params = {"input": [*email_invites, *user_invites]}
-
-        return self.make_request(
-            query=query,
-            params=params,
-            return_type="streamInviteBatchCreate",
-            parse_response=False,
-        )
-
-    def invite_cancel(self, stream_id: str, invite_id: str) -> bool:
-        """Cancel an existing stream invite
-
-        Requires Speckle Server version >= 2.6.4
-
-        Arguments:
-            stream_id {str} -- the id of the stream invite
-            invite_id {str} -- the id of the invite to use
-
-        Returns:
-            bool -- true if the operation was successful
-        """
-        metrics.track(metrics.INVITE, self.account, {"name": "cancel"})
-        self._check_invites_supported()
-
-        query = gql(
-            """
-            mutation StreamInviteCancel($streamId: String!, $inviteId: String!) {
-                streamInviteCancel(streamId: $streamId, inviteId: $inviteId)
-            }
-            """
-        )
-
-        params = {"streamId": stream_id, "inviteId": invite_id}
-
-        return self.make_request(
-            query=query,
-            params=params,
-            return_type="streamInviteCancel",
-            parse_response=False,
-        )
-
-    def invite_use(self, stream_id: str, token: str, accept: bool = True) -> bool:
-        """Accept or decline a stream invite
-
-        Requires Speckle Server version >= 2.6.4
-
-        Arguments:
-            stream_id {str} -- the id of the stream for which the user has a pending invite
-            token {str} -- the token of the invite to use
-            accept {bool} -- whether or not to accept the invite (defaults to True)
-
-        Returns:
-            bool -- true if the operation was successful
-        """
-        metrics.track(metrics.INVITE, self.account, {"name": "use"})
-        self._check_invites_supported()
-
-        query = gql(
-            """
-            mutation StreamInviteUse($accept: Boolean!, $streamId: String!, $token: String!) {
-                streamInviteUse(accept: $accept, streamId: $streamId, token: $token)
-            }
-            """
-        )
-
-        params = {"streamId": stream_id, "token": token, "accept": accept}
-
-        return self.make_request(
-            query=query,
-            params=params,
-            return_type="streamInviteUse",
-            parse_response=False,
-        )
-
-    def update_permission(self, stream_id: str, user_id: str, role: str):
-        """Updates permissions for a user on a given stream
-
-        Valid for Speckle Server >=2.6.4
-
-        Arguments:
-            stream_id {str} -- the id of the stream to grant permissions to
-            user_id {str} -- the id of the user to grant permissions for
-            role {str} -- the role to grant the user
-
-        Returns:
-            bool -- True if the operation was successful
-        """
-        metrics.track(
-            metrics.PERMISSION, self.account, {"name": "update", "role": role}
-        )
-        if self.server_version and (
-            self.server_version != ("dev",) and self.server_version < (2, 6, 4)
-        ):
-            raise UnsupportedException(
-                (
-                    "Server mutation `update_permission` is only supported as of Speckle Server v2.6.4. "
-                    "Please update your Speckle Server to use this method or use the `grant_permission` method instead."
-                )
-            )
-        query = gql(
-            """
-            mutation StreamUpdatePermission($permission_params: StreamUpdatePermissionInput !) {
-                streamUpdatePermission(permissionParams: $permission_params)
-            }
-            """
-        )
-
-        params = {
-            "permission_params": {
-                "streamId": stream_id,
-                "userId": user_id,
-                "role": role,
-            }
-        }
-
-        return self.make_request(
-            query=query,
-            params=params,
-            return_type="streamUpdatePermission",
-            parse_response=False,
-        )
-
-    def revoke_permission(self, stream_id: str, user_id: str):
-        """Revoke permissions from a user on a given stream
-
-        Arguments:
-            stream_id {str} -- the id of the stream to revoke permissions from
-            user_id {str} -- the id of the user to revoke permissions from
-
-        Returns:
-            bool -- True if the operation was successful
-        """
-        metrics.track(metrics.PERMISSION, self.account, {"name": "revoke"})
-        query = gql(
-            """
-            mutation StreamRevokePermission($permission_params: StreamRevokePermissionInput !) {
-                streamRevokePermission(permissionParams: $permission_params)
-            }
-            """
-        )
-
-        params = {"permission_params": {"streamId": stream_id, "userId": user_id}}
-
-        return self.make_request(
-            query=query,
-            params=params,
-            return_type="streamRevokePermission",
-            parse_response=False,
-        )
-
-    def activity(
-        self,
-        stream_id: str,
-        action_type: str = None,
-        limit: int = 20,
-        before: datetime = None,
-        after: datetime = None,
-        cursor: datetime = None,
-    ):
-        """
-        Get the activity from a given stream in an Activity collection. Step into the activity `items` for the list of activity.
-
-        Note: all timestamps arguments should be `datetime` of any tz as they will be converted to UTC ISO format strings
-
-        stream_id {str} -- the id of the stream to get activity from
-        action_type {str} -- filter results to a single action type (eg: `commit_create` or `commit_receive`)
-        limit {int} -- max number of Activity items to return
-        before {datetime} -- latest cutoff for activity (ie: return all activity _before_ this time)
-        after {datetime} -- oldest cutoff for activity (ie: return all activity _after_ this time)
-        cursor {datetime} -- timestamp cursor for pagination
-        """
-        query = gql(
-            """
-            query StreamActivity($stream_id: String!, $action_type: String, $before:DateTime, $after: DateTime, $cursor: DateTime, $limit: Int){
-                stream(id: $stream_id) {
-                    activity(actionType: $action_type, before: $before, after: $after, cursor: $cursor, limit: $limit) {
-                        totalCount
-                        cursor
-                        items {
-                            actionType
-                            info
-                            userId
-                            streamId
-                            resourceId
-                            resourceType
-                            message
-                            time
-                        }
-                    }
-                }
-            }
-            """
-        )
-        try:
-            params = {
-                "stream_id": stream_id,
-                "limit": limit,
-                "action_type": action_type,
-                "before": before.astimezone(timezone.utc).isoformat()
-                if before
-                else before,
-                "after": after.astimezone(timezone.utc).isoformat() if after else after,
-                "cursor": cursor.astimezone(timezone.utc).isoformat()
-                if cursor
-                else cursor,
-            }
-        except AttributeError as e:
-            raise SpeckleException(
-                "Could not get stream activity - `before`, `after`, and `cursor` must be in `datetime` format if provided",
-                ValueError,
-            ) from e
-
-        return self.make_request(
-            query=query,
-            params=params,
-            return_type=["stream", "activity"],
-            schema=ActivityCollection,
-        )

specklepy/api/resources/subscriptions.py

@@ -1,124 +0,0 @@
-from typing import Callable, Dict, List, Union
-from functools import wraps
-from gql import gql
-from graphql import DocumentNode
-from specklepy.api.resource import ResourceBase
-from specklepy.api.resources.stream import Stream
-from specklepy.logging.exceptions import SpeckleException
-
-NAME = "subscribe"
-
-
-def check_wsclient(function):
-    @wraps(function)
-    async def check_wsclient_wrapper(self, *args, **kwargs):
-        if self.client is None:
-            raise SpeckleException(
-                "You must authenticate before you can subscribe to events"
-            )
-        else:
-            return await function(self, *args, **kwargs)
-
-    return check_wsclient_wrapper
-
-
-class Resource(ResourceBase):
-    """API Access class for subscriptions"""
-
-    def __init__(self, account, basepath, client) -> None:
-        super().__init__(
-            account=account,
-            basepath=basepath,
-            client=client,
-            name=NAME,
-        )
-
-    @check_wsclient
-    async def stream_added(self, callback: Callable = None):
-        """Subscribes to new stream added event for your profile. Use this to display an up-to-date list of streams.
-
-        Arguments:
-            callback {Callable[Stream]} -- a function that takes the updated stream as an argument and executes each time a stream is added
-
-        Returns:
-            Stream -- the update stream
-        """
-        query = gql(
-            """
-            subscription { userStreamAdded }
-            """
-        )
-        return await self.subscribe(
-            query=query, callback=callback, return_type="userStreamAdded", schema=Stream
-        )
-
-    @check_wsclient
-    async def stream_updated(self, id: str, callback: Callable = None):
-        """Subscribes to stream updated event. Use this in clients/components that pertain only to this stream.
-
-        Arguments:
-            id {str} -- the stream id of the stream to subscribe to
-            callback {Callable[Stream]} -- a function that takes the updated stream as an argument and executes each time the stream is updated
-
-        Returns:
-            Stream -- the update stream
-        """
-        query = gql(
-            """
-            subscription Update($id: String!) { streamUpdated(streamId: $id) }
-            """
-        )
-        params = {"id": id}
-
-        return await self.subscribe(
-            query=query,
-            params=params,
-            callback=callback,
-            return_type="streamUpdated",
-            schema=Stream,
-        )
-
-    @check_wsclient
-    async def stream_removed(self, callback: Callable = None):
-        """Subscribes to stream removed event for your profile. Use this to display an up-to-date list of streams for your profile. NOTE: If someone revokes your permissions on a stream, this subscription will be triggered with an extra value of revokedBy in the payload.
-
-        Arguments:
-            callback {Callable[Dict]} -- a function that takes the returned dict as an argument and executes each time a stream is removed
-
-        Returns:
-            dict -- dict containing 'id' of stream removed and optionally 'revokedBy'
-        """
-        query = gql(
-            """
-            subscription { userStreamRemoved }
-            """
-        )
-
-        return await self.subscribe(
-            query=query,
-            callback=callback,
-            return_type="userStreamRemoved",
-            parse_response=False,
-        )
-
-    @check_wsclient
-    async def subscribe(
-        self,
-        query: DocumentNode,
-        params: Dict = None,
-        callback: Callable = None,
-        return_type: Union[str, List] = None,
-        schema=None,
-        parse_response: bool = True,
-    ):
-        # if self.client.transport.websocket is None:
-        # TODO: add multiple subs to the same ws connection
-        async with self.client as session:
-            async for res in session.subscribe(query, variable_values=params):
-                res = self._step_into_response(response=res, return_type=return_type)
-                if parse_response:
-                    res = self._parse_response(response=res, schema=schema)
-                if callback is not None:
-                    callback(res)
-                else:
-                    return res

specklepy/api/resources/user.py

@@ -1,280 +0,0 @@
-from typing import List, Optional, Union
-from datetime import datetime, timezone
-from gql import gql
-from specklepy.logging import metrics
-from specklepy.logging.exceptions import SpeckleException
-from specklepy.api.resource import ResourceBase
-from specklepy.api.models import ActivityCollection, PendingStreamCollaborator, User
-
-NAME = "user"
-
-
-class Resource(ResourceBase):
-    """API Access class for users"""
-
-    def __init__(self, account, basepath, client, server_version) -> None:
-        super().__init__(
-            account=account,
-            basepath=basepath,
-            client=client,
-            name=NAME,
-            server_version=server_version,
-        )
-        self.schema = User
-
-    def get(self, id: str = None) -> User:
-        """Gets the profile of a user. If no id argument is provided, will return the current authenticated user's profile (as extracted from the authorization header).
-
-        Arguments:
-            id {str} -- the user id
-
-        Returns:
-            User -- the retrieved user
-        """
-        metrics.track(metrics.USER, self.account, {"name": "get"})
-        query = gql(
-            """
-            query User($id: String) {
-                user(id: $id) {
-                    id
-                    email
-                    name
-                    bio
-                    company
-                    avatar
-                    verified
-                    profiles
-                    role
-                }
-            }
-          """
-        )
-
-        params = {"id": id}
-
-        return self.make_request(query=query, params=params, return_type="user")
-
-    def search(
-        self, search_query: str, limit: int = 25
-    ) -> Union[List[User], SpeckleException]:
-        """Searches for user by name or email. The search query must be at least 3 characters long
-
-        Arguments:
-            search_query {str} -- a string to search for
-            limit {int} -- the maximum number of results to return
-        Returns:
-            List[User] -- a list of User objects that match the search query
-        """
-        if len(search_query) < 3:
-            return SpeckleException(
-                message="User search query must be at least 3 characters"
-            )
-
-        metrics.track(metrics.USER, self.account, {"name": "search"})
-        query = gql(
-            """
-            query UserSearch($search_query: String!, $limit: Int!) {
-                userSearch(query: $search_query, limit: $limit) {
-                    items {
-                        id
-                        name
-                        bio
-                        company
-                        avatar
-                        verified
-                    }
-                }
-            }
-          """
-        )
-        params = {"search_query": search_query, "limit": limit}
-
-        return self.make_request(
-            query=query, params=params, return_type=["userSearch", "items"]
-        )
-
-    def update(
-        self, name: str = None, company: str = None, bio: str = None, avatar: str = None
-    ):
-        """Updates your user profile. All arguments are optional.
-
-        Arguments:
-            name {str} -- your name
-            company {str} -- the company you may or may not work for
-            bio {str} -- tell us about yourself
-            avatar {str} -- a nice photo of yourself
-
-        Returns:
-            bool -- True if your profile was updated successfully
-        """
-        metrics.track(metrics.USER, self.account, {"name": "update"})
-        query = gql(
-            """
-            mutation UserUpdate($user: UserUpdateInput!) {
-                userUpdate(user: $user)
-            }
-            """
-        )
-        params = {"name": name, "company": company, "bio": bio, "avatar": avatar}
-
-        params = {"user": {k: v for k, v in params.items() if v is not None}}
-
-        if not params["user"]:
-            return SpeckleException(
-                message="You must provide at least one field to update your user profile"
-            )
-
-        return self.make_request(
-            query=query, params=params, return_type="userUpdate", parse_response=False
-        )
-
-    def activity(
-        self,
-        user_id: str = None,
-        limit: int = 20,
-        action_type: str = None,
-        before: datetime = None,
-        after: datetime = None,
-        cursor: datetime = None,
-    ):
-        """
-        Get the activity from a given stream in an Activity collection. Step into the activity `items` for the list of activity.
-        If no id argument is provided, will return the current authenticated user's activity (as extracted from the authorization header).
-
-        Note: all timestamps arguments should be `datetime` of any tz as they will be converted to UTC ISO format strings
-
-        user_id {str} -- the id of the user to get the activity from
-        action_type {str} -- filter results to a single action type (eg: `commit_create` or `commit_receive`)
-        limit {int} -- max number of Activity items to return
-        before {datetime} -- latest cutoff for activity (ie: return all activity _before_ this time)
-        after {datetime} -- oldest cutoff for activity (ie: return all activity _after_ this time)
-        cursor {datetime} -- timestamp cursor for pagination
-        """
-
-        query = gql(
-            """
-            query UserActivity($user_id: String, $action_type: String, $before:DateTime, $after: DateTime, $cursor: DateTime, $limit: Int){
-                user(id: $user_id) {
-                    activity(actionType: $action_type, before: $before, after: $after, cursor: $cursor, limit: $limit) {
-                        totalCount
-                        cursor
-                        items {
-                            actionType
-                            info
-                            userId
-                            streamId
-                            resourceId
-                            resourceType
-                            message
-                            time
-                        }
-                    }
-                }
-            }
-            """
-        )
-
-        params = {
-            "user_id": user_id,
-            "limit": limit,
-            "action_type": action_type,
-            "before": before.astimezone(timezone.utc).isoformat() if before else before,
-            "after": after.astimezone(timezone.utc).isoformat() if after else after,
-            "cursor": cursor.astimezone(timezone.utc).isoformat() if cursor else cursor,
-        }
-
-        return self.make_request(
-            query=query,
-            params=params,
-            return_type=["user", "activity"],
-            schema=ActivityCollection,
-        )
-
-    def get_all_pending_invites(self) -> List[PendingStreamCollaborator]:
-        """Get all of the active user's pending stream invites
-
-        Requires Speckle Server version >= 2.6.4
-
-        Returns:
-            List[PendingStreamCollaborator] -- a list of pending invites for the current user
-        """
-        metrics.track(metrics.INVITE, self.account, {"name": "get"})
-        self._check_invites_supported()
-
-        query = gql(
-            """
-            query StreamInvites {
-                streamInvites{
-                    id
-                    token
-                    inviteId
-                    streamId
-                    streamName
-                    title
-                    role
-                    invitedBy {
-                        id
-                        name
-                        company
-                        avatar
-                    }
-                }
-            }
-            """
-        )
-
-        return self.make_request(
-            query=query,
-            return_type="streamInvites",
-            schema=PendingStreamCollaborator,
-        )
-
-    def get_pending_invite(
-        self, stream_id: str, token: str = None
-    ) -> Optional[PendingStreamCollaborator]:
-        """Get a particular pending invite for the active user on a given stream.
-        If no invite_id is provided, any valid invite will be returned.
-
-        Requires Speckle Server version >= 2.6.4
-
-        Arguments:
-            stream_id {str} -- the id of the stream to look for invites on
-            token {str} -- the token of the invite to look for (optional)
-
-        Returns:
-            PendingStreamCollaborator -- the invite for the given stream (or None if it isn't found)
-        """
-        metrics.track(metrics.INVITE, self.account, {"name": "get"})
-        self._check_invites_supported()
-
-        query = gql(
-            """
-            query StreamInvite($streamId: String!, $token: String) {
-                streamInvite(streamId: $streamId, token: $token) {
-                    id
-                    token
-                    streamId
-                    streamName
-                    title
-                    role
-                    invitedBy {
-                        id
-                        name
-                        company
-                        avatar
-                    }
-                }
-            }
-            """
-        )
-
-        params = {"streamId": stream_id}
-        if token:
-            params["token"] = token
-
-        return self.make_request(
-            query=query,
-            params=params,
-            return_type="streamInvite",
-            schema=PendingStreamCollaborator,
-        )

specklepy/api/wrapper.py

@@ -1,170 +0,0 @@
-from warnings import warn
-from urllib.parse import urlparse, unquote
-from specklepy.api.credentials import (
-    Account,
-    get_account_from_token,
-    get_local_accounts,
-)
-from specklepy.logging import metrics
-from specklepy.api.client import SpeckleClient
-from specklepy.transports.server.server import ServerTransport
-from specklepy.logging.exceptions import SpeckleException, SpeckleWarning
-
-
-class StreamWrapper:
-    """
-    The `StreamWrapper` gives you some handy helpers to deal with urls and get authenticated clients and transports.
-
-    Construct a `StreamWrapper` with a stream, branch, commit, or object URL. The corresponding ids will be stored
-    in the wrapper. If you have local accounts on the machine, you can use the `get_account` and `get_client` methods
-    to get a local account for the server. You can also pass a token into `get_client` if you don't have a corresponding
-    local account for the server.
-
-    ```py
-    from specklepy.api.wrapper import StreamWrapper
-
-    # provide any stream, branch, commit, object, or globals url
-    wrapper = StreamWrapper("https://speckle.xyz/streams/3073b96e86/commits/604bea8cc6")
-
-    # get an authenticated SpeckleClient if you have a local account for the server
-    client = wrapper.get_client()
-
-    # get an authenticated ServerTransport if you have a local account for the server
-    transport = wrapper.get_transport()
-    ```
-    """
-
-    stream_url: str = None
-    use_ssl: bool = True
-    host: str = None
-    stream_id: str = None
-    commit_id: str = None
-    object_id: str = None
-    branch_name: str = None
-    _client: SpeckleClient = None
-    _account: Account = None
-
-    def __repr__(self):
-        return f"StreamWrapper( server: {self.host}, stream_id: {self.stream_id}, type: {self.type} )"
-
-    def __str__(self) -> str:
-        return self.__repr__()
-
-    @property
-    def type(self) -> str:
-        if self.object_id:
-            return "object"
-        elif self.commit_id:
-            return "commit"
-        elif self.branch_name:
-            return "branch"
-        else:
-            return "stream" if self.stream_id else "invalid"
-
-    def __init__(self, url: str) -> None:
-        self.stream_url = url
-        parsed = urlparse(url)
-        self.host = parsed.netloc
-        self.use_ssl = parsed.scheme == "https"
-        segments = parsed.path.strip("/").split("/", 3)
-        metrics.track(metrics.STREAM_WRAPPER, self.get_account())
-
-        if not segments or len(segments) < 2:
-            raise SpeckleException(
-                f"Cannot parse {url} into a stream wrapper class - invalid URL provided."
-            )
-
-        while segments:
-            segment = segments.pop(0)
-            if segments and segment.lower() == "streams":
-                self.stream_id = segments.pop(0)
-            elif segments and segment.lower() == "commits":
-                self.commit_id = segments.pop(0)
-            elif segments and segment.lower() == "branches":
-                self.branch_name = unquote(segments.pop(0))
-            elif segments and segment.lower() == "objects":
-                self.object_id = segments.pop(0)
-            elif segment.lower() == "globals":
-                self.branch_name = "globals"
-                if segments:
-                    self.commit_id = segments.pop(0)
-            else:
-                raise SpeckleException(
-                    f"Cannot parse {url} into a stream wrapper class - invalid URL provided."
-                )
-
-        if not self.stream_id:
-            raise SpeckleException(
-                f"Cannot parse {url} into a stream wrapper class - no stream id found."
-            )
-
-    @property
-    def server_url(self):
-        return f"{'https' if self.use_ssl else 'http'}://{self.host}"
-
-    def get_account(self, token: str = None) -> Account:
-        """
-        Gets an account object for this server from the local accounts db (added via Speckle Manager or a json file)
-        """
-        if self._account and self._account.token:
-            return self._account
-
-        self._account = next(
-            (
-                a
-                for a in get_local_accounts()
-                if self.host == urlparse(a.serverInfo.url).netloc
-            ),
-            None,
-        )
-
-        if not self._account:
-            self._account = get_account_from_token(token, self.server_url)
-
-        if self._client:
-            self._client.authenticate_with_account(self._account)
-
-        return self._account
-
-    def get_client(self, token: str = None) -> SpeckleClient:
-        """
-        Gets an authenticated client for this server. You may provide a token if there aren't any local accounts on this
-        machine. If no account is found and no token is provided, an unauthenticated client is returned.
-
-        Arguments:
-            token {str} -- optional token if no local account is available (defaults to None)
-
-        Returns:
-            SpeckleClient -- authenticated with a corresponding local account or the provided token
-        """
-        if self._client and token is None:
-            return self._client
-
-        if not self._account or not self._account.token:
-            self.get_account(token)
-
-        if not self._client:
-            self._client = SpeckleClient(host=self.host, use_ssl=self.use_ssl)
-
-        if self._account.token is None and token is None:
-            warn(f"No local account found for server {self.host}", SpeckleWarning)
-            return self._client
-
-        if self._account.token:
-            self._client.authenticate_with_account(self._account)
-        else:
-            self._client.authenticate_with_token(token)
-
-        return self._client
-
-    def get_transport(self, token: str = None) -> ServerTransport:
-        """
-        Gets a server transport for this stream using an authenticated client. If there is no local account for this
-        server and the client was not authenticated with a token, this will throw an exception.
-
-        Returns:
-            ServerTransport -- constructed for this stream with a pre-authenticated client
-        """
-        if not self._account or not self._account.token:
-            self.get_account(token)
-        return ServerTransport(self.stream_id, account=self._account)

specklepy/objects/__init__.py

@@ -1,5 +0,0 @@
-"""Builtin Speckle object kit."""
-
-from specklepy.objects.base import Base
-
-__all__ = ["Base"]

specklepy/objects/encoding.py

@@ -1,131 +0,0 @@
-from enum import Enum
-from typing import Any, Callable, List, Type, Dict
-
-from specklepy.logging.exceptions import SpeckleException
-from specklepy.objects.base import Base
-
-
-class CurveTypeEncoding(int, Enum):
-    Arc = 0
-    Circle = 1
-    Curve = 2
-    Ellipse = 3
-    Line = 4
-    Polyline = 5
-    Polycurve = 6
-
-    @property
-    def object_class(self) -> Type:
-        from . import geometry
-
-        if self == self.Arc:
-            return geometry.Arc
-        elif self == self.Circle:
-            return geometry.Circle
-        elif self == self.Curve:
-            return geometry.Curve
-        elif self == self.Ellipse:
-            return geometry.Ellipse
-        elif self == self.Line:
-            return geometry.Line
-        elif self == self.Polyline:
-            return geometry.Polyline
-        elif self == self.Polycurve:
-            return geometry.Polycurve
-        raise SpeckleException(
-            f"No corresponding object class for CurveTypeEncoding: {self}"
-        )
-
-
-def curve_from_list(args: List[float]):
-    curve_type = CurveTypeEncoding(args[0])
-    return curve_type.object_class.from_list(args)
-
-
-class ObjectArray:
-    def __init__(self, data: list = None) -> None:
-        self.data = data or []
-
-    @classmethod
-    def from_objects(cls, objects: List[Base]) -> "ObjectArray":
-        data_list = cls()
-        if not objects:
-            return data_list
-
-        speckle_type = objects[0].speckle_type
-
-        for obj in objects:
-            if speckle_type != obj.speckle_type:
-                raise SpeckleException(
-                    "All objects in chunk should have the same speckle_type. "
-                    f"Found {speckle_type} and {obj.speckle_type}"
-                )
-            data_list.encode_object(obj=obj)
-
-        return data_list
-
-    @staticmethod
-    def decode_data(
-        data: List[Any], decoder: Callable[[List[Any]], Base], **kwargs: Dict[str, Any]
-    ) -> List[Base]:
-        bases = []
-        if not data:
-            return bases
-        index = 0
-        while index < len(data):
-            item_length = int(data[index])
-            item_start = index + 1
-            item_end = item_start + item_length
-            item_data = data[item_start:item_end]
-            index = item_end
-            decoded_data = decoder(item_data, **kwargs)
-            bases.append(decoded_data)
-
-        return bases
-
-    def decode(self, decoder: Callable[[List[Any]], Any], **kwargs: Dict[str, Any]):
-        return self.decode_data(data=self.data, decoder=decoder, **kwargs)
-
-    def encode_object(self, obj: Base):
-        encoded = obj.to_list()
-        encoded.insert(0, len(encoded))
-        self.data.extend(encoded)
-
-
-class CurveArray(ObjectArray):
-    @classmethod
-    def from_curve(cls, curve: Base) -> "CurveArray":
-        crv_array = cls()
-        crv_array.data = curve.to_list()
-        return crv_array
-
-    @classmethod
-    def from_curves(cls, curves: List[Base]) -> "CurveArray":
-        data = []
-        for curve in curves:
-            curve_list = curve.to_list()
-            curve_list.insert(0, len(curve_list))
-            data.extend(curve_list)
-        crv_array = cls()
-        crv_array.data = data
-        return crv_array
-
-    @staticmethod
-    def curve_from_list(args: List[float]) -> Base:
-        curve_type = CurveTypeEncoding(args[0])
-        return curve_type.object_class.from_list(args)
-
-    @property
-    def type(self) -> CurveTypeEncoding:
-        return CurveTypeEncoding(self.data[0])
-
-    def to_curve(self) -> Base:
-        return self.type.object_class.from_list(self.data)
-
-    @classmethod
-    def _curve_decoder(cls, data: List[float]) -> Base:
-        crv_array = cls(data)
-        return crv_array.to_curve()
-
-    def to_curves(self) -> List[Base]:
-        return self.decode(decoder=self._curve_decoder)

specklepy/objects/fakemesh.py

@@ -1,52 +0,0 @@
-from enum import Enum
-from typing import List
-from specklepy.objects.geometry import Point
-
-from .base import Base
-
-CHUNKABLE_PROPS = {
-    "vertices": 100,
-    "faces": 100,
-    "colors": 100,
-    "textureCoordinates": 100,
-    "test_bases": 10,
-}
-
-DETACHABLE = {"detach_this", "origin", "detached_list"}
-
-
-class FakeGeo(Base, chunkable={"dots": 50}, detachable={"pointslist"}):
-    pointslist: List[Base] = None
-    dots: List[int] = None
-
-
-class FakeDirection(Enum):
-    NORTH = 1
-    EAST = 2
-    SOUTH = 3
-    WEST = 4
-
-
-class FakeMesh(FakeGeo, chunkable=CHUNKABLE_PROPS, detachable=DETACHABLE):
-    vertices: List[float] = None
-    faces: List[int] = None
-    colors: List[int] = None
-    textureCoordinates: List[float] = None
-    cardinal_dir: FakeDirection = None
-    test_bases: List[Base] = None
-    detach_this: Base = None
-    detached_list: List[Base] = None
-    _origin: Point = None
-
-    # def __init__(self, **kwargs) -> None:
-    #     super(FakeMesh, self).__init__(**kwargs)
-    #     self.add_chunkable_attrs(**CHUNKABLE_PROPS)
-    #     self.add_detachable_attrs(DETACHABLE)
-
-    @property
-    def origin(self):
-        return self._origin
-
-    @origin.setter
-    def origin(self, value: Point):
-        self._origin = value

specklepy/objects/geometry.py

@@ -1,889 +0,0 @@
-from enum import Enum
-from typing import Any, List, Optional
-
-from .base import Base
-from .encoding import CurveArray, CurveTypeEncoding, ObjectArray
-from .units import get_encoding_from_units, get_units_from_encoding
-
-GEOMETRY = "Objects.Geometry."
-
-
-class Interval(Base, speckle_type="Objects.Primitive.Interval"):
-    start: float = 0.0
-    end: float = 0.0
-
-    def length(self):
-        return abs(self.start - self.end)
-
-    @classmethod
-    def from_list(cls, args: List[Any]) -> "Interval":
-        return cls(start=args[0], end=args[1])
-
-    def to_list(self) -> List[Any]:
-        return [self.start, self.end]
-
-
-class Point(Base, speckle_type=GEOMETRY + "Point"):
-    x: float = 0.0
-    y: float = 0.0
-    z: float = 0.0
-
-    def __repr__(self) -> str:
-        return f"{self.__class__.__name__}(x: {self.x}, y: {self.y}, z: {self.z}, id: {self.id}, speckle_type: {self.speckle_type})"
-
-    @classmethod
-    def from_list(cls, args: List[float]) -> "Point":
-        """Create a new Point from a list of three floats representing the x, y, and z coordinates"""
-        return cls(x=args[0], y=args[1], z=args[2])
-
-    def to_list(self) -> List[Any]:
-        return [self.x, self.y, self.z]
-
-    @classmethod
-    def from_coords(cls, x: float = 0.0, y: float = 0.0, z: float = 0.0):
-        """Create a new Point from x, y, and z values"""
-        pt = Point()
-        pt.x, pt.y, pt.z = x, y, z
-        return pt
-
-
-class Vector(Point, speckle_type=GEOMETRY + "Vector"):
-    pass
-
-
-class ControlPoint(Point, speckle_type=GEOMETRY + "ControlPoint"):
-    weight: float = None
-
-
-class Plane(Base, speckle_type=GEOMETRY + "Plane"):
-    origin: Point = Point()
-    normal: Vector = Vector()
-    xdir: Vector = Vector()
-    ydir: Vector = Vector()
-
-    @classmethod
-    def from_list(cls, args: List[Any]) -> "Plane":
-        return cls(
-            origin=Point.from_list(args[:3]),
-            normal=Vector.from_list(args[3:6]),
-            xdir=Vector.from_list(args[6:9]),
-            ydir=Vector.from_list(args[9:12]),
-            units=get_units_from_encoding(args[-1]),
-        )
-
-    def to_list(self) -> List[Any]:
-        return [
-            *self.origin.to_list(),
-            *self.normal.to_list(),
-            *self.xdir.to_list(),
-            *self.ydir.to_list(),
-            get_encoding_from_units(self._units),
-        ]
-
-
-class Box(Base, speckle_type=GEOMETRY + "Box"):
-    basePlane: Plane = Plane()
-    ySize: Interval = Interval()
-    zSize: Interval = Interval()
-    xSize: Interval = Interval()
-    area: float = None
-    volume: float = None
-
-
-class Line(Base, speckle_type=GEOMETRY + "Line"):
-    start: Point = Point()
-    end: Point = None
-    domain: Interval = None
-    bbox: Box = None
-    length: float = None
-
-    @classmethod
-    def from_list(cls, args: List[Any]) -> "Line":
-        return cls(
-            start=Point.from_list(args[1:4]),
-            end=Point.from_list(args[4:7]),
-            domain=Interval.from_list(args[7:10]),
-            units=get_units_from_encoding(args[-1]),
-        )
-
-    def to_list(self) -> List[Any]:
-        domain = self.domain.to_list() if self.domain else [0, 1]
-        return [
-            CurveTypeEncoding.Line.value,
-            *self.start.to_list(),
-            *self.end.to_list(),
-            *domain,
-            get_encoding_from_units(self._units),
-        ]
-
-
-class Arc(Base, speckle_type=GEOMETRY + "Arc"):
-    radius: float = None
-    startAngle: float = None
-    endAngle: float = None
-    angleRadians: float = None
-    plane: Plane = None
-    domain: Interval = None
-    startPoint: Point = None
-    midPoint: Point = None
-    endPoint: Point = None
-    bbox: Box = None
-    area: float = None
-    length: float = None
-
-    @classmethod
-    def from_list(cls, args: List[Any]) -> "Arc":
-        return cls(
-            radius=args[1],
-            startAngle=args[2],
-            endAngle=args[3],
-            angleRadians=args[4],
-            domain=Interval.from_list(args[5:7]),
-            plane=Plane.from_list(args[7:20]),
-            startPoint=Point.from_list(args[20:23]),
-            midPoint=Point.from_list(args[23:26]),
-            endPoint=Point.from_list(args[26:29]),
-            units=get_units_from_encoding(args[-1]),
-        )
-
-    def to_list(self) -> List[Any]:
-        return [
-            CurveTypeEncoding.Arc.value,
-            self.radius,
-            self.startAngle,
-            self.endAngle,
-            self.angleRadians,
-            *self.domain.to_list(),
-            *self.plane.to_list(),
-            *self.startPoint.to_list(),
-            *self.midPoint.to_list(),
-            *self.endPoint.to_list(),
-            get_encoding_from_units(self._units),
-        ]
-
-
-class Circle(Base, speckle_type=GEOMETRY + "Circle"):
-    radius: float = None
-    plane: Plane = None
-    domain: Interval = None
-    bbox: Box = None
-    area: float = None
-    length: float = None
-
-    @classmethod
-    def from_list(cls, args: List[Any]) -> "Circle":
-        return cls(
-            radius=args[1],
-            domain=Interval.from_list(args[2:4]),
-            plane=Plane.from_list(args[4:17]),
-            units=get_units_from_encoding(args[-1]),
-        )
-
-    def to_list(self) -> List[Any]:
-        return [
-            CurveTypeEncoding.Circle.value,
-            self.radius,
-            *self.domain.to_list(),
-            *self.plane.to_list(),
-            get_encoding_from_units(self._units),
-        ]
-
-
-class Ellipse(Base, speckle_type=GEOMETRY + "Ellipse"):
-    firstRadius: float = None
-    secondRadius: float = None
-    plane: Plane = None
-    domain: Interval = None
-    trimDomain: Interval = None
-    bbox: Box = None
-    area: float = None
-    length: float = None
-
-    @classmethod
-    def from_list(cls, args: List[Any]) -> "Ellipse":
-        return cls(
-            firstRadius=args[1],
-            secondRadius=args[2],
-            domain=Interval.from_list(args[3:5]),
-            plane=Plane.from_list(args[5:18]),
-            units=get_units_from_encoding(args[-1]),
-        )
-
-    def to_list(self) -> List[Any]:
-        return [
-            CurveTypeEncoding.Ellipse.value,
-            self.firstRadius,
-            self.secondRadius,
-            *self.domain.to_list(),
-            *self.plane.to_list(),
-            get_encoding_from_units(self._units),
-        ]
-
-
-class Polyline(Base, speckle_type=GEOMETRY + "Polyline", chunkable={"value": 20000}):
-    value: List[float] = None
-    closed: bool = None
-    domain: Interval = None
-    bbox: Box = None
-    area: float = None
-    length: float = None
-
-    @classmethod
-    def from_points(cls, points: List[Point]):
-        """Create a new Polyline from a list of Points"""
-        polyline = cls()
-        polyline.units = points[0].units
-        polyline.value = []
-        for point in points:
-            polyline.value.extend([point.x, point.y, point.z])
-        return polyline
-
-    @classmethod
-    def from_list(cls, args: List[Any]) -> "Polyline":
-        point_count = args[4]
-        return cls(
-            closed=bool(args[1]),
-            domain=Interval.from_list(args[2:4]),
-            value=args[5 : 5 + point_count],
-            units=get_units_from_encoding(args[-1]),
-        )
-
-    def to_list(self) -> List[Any]:
-        return [
-            CurveTypeEncoding.Polyline.value,
-            int(self.closed),
-            *self.domain.to_list(),
-            len(self.value),
-            *self.value,
-            get_encoding_from_units(self._units),
-        ]
-
-    def as_points(self) -> List[Point]:
-        """Converts the `value` attribute to a list of Points"""
-        if not self.value:
-            return
-
-        if len(self.value) % 3:
-            raise ValueError("Points array malformed: length%3 != 0.")
-
-        values = iter(self.value)
-        return [
-            Point(x=v, y=next(values), z=next(values), units=self.units) for v in values
-        ]
-
-
-class Curve(
-    Base,
-    speckle_type=GEOMETRY + "Curve",
-    chunkable={"points": 20000, "weights": 20000, "knots": 20000},
-):
-    degree: int = None
-    periodic: bool = None
-    rational: bool = None
-    points: List[float] = None
-    weights: List[float] = None
-    knots: List[float] = None
-    domain: Interval = None
-    displayValue: Polyline = None
-    closed: bool = None
-    bbox: Box = None
-    area: float = None
-    length: float = None
-
-    def as_points(self) -> List[Point]:
-        """Converts the `value` attribute to a list of Points"""
-        if not self.points:
-            return
-
-        if len(self.points) % 3:
-            raise ValueError("Points array malformed: length%3 != 0.")
-
-        values = iter(self.points)
-        return [
-            Point(x=v, y=next(values), z=next(values), units=self.units) for v in values
-        ]
-
-    @classmethod
-    def from_list(cls, args: List[Any]) -> "Curve":
-        point_count = int(args[7])
-        weights_count = int(args[8])
-        knots_count = int(args[9])
-
-        points_start = 10
-        weights_start = 10 + point_count
-        knots_start = weights_start + weights_count
-        knots_end = knots_start + knots_count
-
-        return cls(
-            degree=int(args[1]),
-            periodic=bool(args[2]),
-            rational=bool(args[3]),
-            closed=bool(args[4]),
-            domain=Interval.from_list(args[5:7]),
-            points=args[points_start:weights_start],
-            weights=args[weights_start:knots_start],
-            knots=args[knots_start:knots_end],
-            units=get_units_from_encoding(args[-1]),
-        )
-
-    def to_list(self) -> List[Any]:
-        return [
-            CurveTypeEncoding.Curve.value,
-            self.degree,
-            int(self.periodic),
-            int(self.rational),
-            int(self.closed),
-            *self.domain.to_list(),
-            len(self.points),
-            len(self.weights),
-            len(self.knots),
-            *self.points,
-            *self.weights,
-            *self.knots,
-            get_encoding_from_units(self._units),
-        ]
-
-
-class Polycurve(Base, speckle_type=GEOMETRY + "Polycurve"):
-    segments: List[Base] = None
-    domain: Interval = None
-    closed: bool = None
-    bbox: Box = None
-    area: float = None
-    length: float = None
-
-    @classmethod
-    def from_list(cls, args: List[Any]) -> "Polycurve":
-        curve_arrays = CurveArray(args[5:-1])
-        return cls(
-            closed=bool(args[1]),
-            domain=Interval.from_list(args[2:4]),
-            segments=curve_arrays.to_curves(),
-            units=get_units_from_encoding(args[-1]),
-        )
-
-    def to_list(self) -> List[Any]:
-        curve_array = CurveArray.from_curves(self.segments).data
-        return [
-            CurveTypeEncoding.Polycurve.value,
-            int(self.closed),
-            *self.domain.to_list(),
-            len(curve_array),
-            *curve_array,
-            get_encoding_from_units(self._units),
-        ]
-
-
-class Extrusion(Base, speckle_type=GEOMETRY + "Extrusion"):
-    capped: bool = None
-    profile: Base = None
-    pathStart: Point = None
-    pathEnd: Point = None
-    pathCurve: Base = None
-    pathTangent: Base = None
-    profiles: List[Base] = None
-    length: float = None
-    area: float = None
-    volume: float = None
-    bbox: Box = None
-
-
-class Mesh(
-    Base,
-    speckle_type=GEOMETRY + "Mesh",
-    chunkable={
-        "vertices": 2000,
-        "faces": 2000,
-        "colors": 2000,
-        "textureCoordinates": 2000,
-    },
-):
-    vertices: List[float] = None
-    faces: List[int] = None
-    colors: List[int] = None
-    textureCoordinates: List[float] = None
-    bbox: Box = None
-    area: float = None
-    volume: float = None
-
-    @classmethod
-    def create(
-        cls,
-        vertices: List[float],
-        faces: List[int],
-        colors: List[int] = None,
-        texture_coordinates: List[float] = None,
-    ) -> "Mesh":
-        """
-        Create a new Mesh from lists representing its vertices, faces,
-        colors (optional), and texture coordinates (optional).
-
-        This will initialise empty lists for colors and texture coordinates
-        if you do not provide any.
-        """
-        return cls(
-            vertices=vertices,
-            faces=faces,
-            colors=colors or [],
-            textureCoordinates=texture_coordinates or [],
-        )
-
-
-class Surface(Base, speckle_type=GEOMETRY + "Surface"):
-    degreeU: int = None
-    degreeV: int = None
-    rational: bool = None
-    area: float = None
-    pointData: List[float] = None
-    countU: int = None
-    countV: int = None
-    bbox: Box = None
-    closedU: bool = None
-    closedV: bool = None
-    domainU: Interval = None
-    domainV: Interval = None
-    knotsU: List[float] = None
-    knotsV: List[float] = None
-
-    @classmethod
-    def from_list(cls, args: List[Any]) -> "Surface":
-        point_count = int(args[11])
-        knots_u_count = int(args[12])
-        knots_v_count = int(args[13])
-
-        start_point_data = 14
-        start_knots_u = start_point_data + point_count
-        start_knots_v = start_knots_u + knots_u_count
-
-        return cls(
-            degreeU=int(args[0]),
-            degreeV=int(args[1]),
-            countU=int(args[2]),
-            countV=int(args[3]),
-            rational=bool(args[4]),
-            closedU=bool(args[5]),
-            closedV=bool(args[6]),
-            domainU=Interval(start=args[7], end=args[8]),
-            domainV=Interval(start=args[9], end=args[10]),
-            pointData=args[start_point_data:start_knots_u],
-            knotsU=args[start_knots_u:start_knots_v],
-            knotsV=args[start_knots_v : start_knots_v + knots_v_count],
-            units=get_units_from_encoding(args[-1]),
-        )
-
-    def to_list(self) -> List[Any]:
-        return [
-            self.degreeU,
-            self.degreeV,
-            self.countU,
-            self.countV,
-            int(self.rational),
-            int(self.closedU),
-            int(self.closedV),
-            *self.domainU.to_list(),
-            *self.domainV.to_list(),
-            len(self.pointData),
-            len(self.knotsU),
-            len(self.knotsV),
-            *self.pointData,
-            *self.knotsU,
-            *self.knotsV,
-            get_encoding_from_units(self._units),
-        ]
-
-
-class BrepFace(Base, speckle_type=GEOMETRY + "BrepFace"):
-    _Brep: "Brep" = None
-    SurfaceIndex: int = None
-    OuterLoopIndex: int = None
-    OrientationReversed: bool = None
-    LoopIndices: List[int] = None
-
-    @property
-    def _outer_loop(self):
-        return self._Brep.Loops[self.OuterLoopIndex]  # pylint: disable=no-member
-
-    @property
-    def _surface(self):
-        return self._Brep.Surfaces[self.SurfaceIndex]  # pylint: disable=no-member
-
-    @property
-    def _loops(self):
-        if self.LoopIndices:
-            # pylint: disable=not-an-iterable, no-member
-            return [self._Brep.Loops[i] for i in self.LoopIndices]
-
-    @classmethod
-    def from_list(cls, args: List[Any], brep: "Brep" = None) -> "BrepFace":
-        return cls(
-            _Brep=brep,
-            SurfaceIndex=args[0],
-            OuterLoopIndex=args[1],
-            OrientationReversed=bool(args[2]),
-            LoopIndices=args[3:],
-        )
-
-    def to_list(self) -> List[Any]:
-        return [
-            self.SurfaceIndex,
-            self.OuterLoopIndex,
-            int(self.OrientationReversed),
-            *self.LoopIndices,
-        ]
-
-
-class BrepEdge(Base, speckle_type=GEOMETRY + "BrepEdge"):
-    _Brep: "Brep" = None
-    Curve3dIndex: int = None
-    TrimIndices: List[int] = None
-    StartIndex: int = None
-    EndIndex: int = None
-    ProxyCurveIsReversed: bool = None
-    Domain: Interval = None
-
-    @property
-    def _start_vertex(self):
-        return self._Brep.Vertices[self.StartIndex]
-
-    @property
-    def _end_vertex(self):
-        return self._Brep.Vertices[self.EndIndex]
-
-    @property
-    def _trims(self):
-        if self.TrimIndices:
-            # pylint: disable=not-an-iterable
-            return [self._Brep.Trims[i] for i in self.TrimIndices]
-
-    @property
-    def _curve(self):
-        return self._Brep.Curve3D[self.Curve3dIndex]
-
-    @classmethod
-    def from_list(cls, args: List[Any], brep: "Brep" = None) -> "BrepEdge":
-        domain_start = args[4]
-        domain_end = args[5]
-        domain = (
-            Interval(start=domain_start, end=domain_end)
-            if None not in (domain_start, domain_end)
-            else None
-        )
-        return cls(
-            _Brep=brep,
-            Curve3dIndex=int(args[0]),
-            TrimIndices=[int(t) for t in args[6:]],
-            StartIndex=int(args[1]),
-            EndIndex=int(args[2]),
-            ProxyCurveIsReversed=bool(args[3]),
-            Domain=domain,
-        )
-
-    def to_list(self) -> List[Any]:
-        return [
-            self.Curve3dIndex,
-            self.StartIndex,
-            self.EndIndex,
-            int(self.ProxyCurveIsReversed),
-            self.Domain.start,
-            self.Domain.end,
-            *self.TrimIndices,
-        ]
-
-
-class BrepLoopType(int, Enum):
-    Unknown = 0
-    Outer = 1
-    Inner = 2
-    Slit = 3
-    CurveOnSurface = 4
-    PointOnSurface = 5
-
-
-class BrepLoop(Base, speckle_type=GEOMETRY + "BrepLoop"):
-    _Brep: "Brep" = None
-    FaceIndex: int = None
-    TrimIndices: List[int] = None
-    Type: BrepLoopType = None
-
-    @property
-    def _face(self):
-        return self._Brep.Faces[self.FaceIndex]
-
-    @property
-    def _trims(self):
-        if self.TrimIndices:
-            # pylint: disable=not-an-iterable
-            return [self._Brep.Trims[i] for i in self.TrimIndices]
-
-    @classmethod
-    def from_list(cls, args: List[any], brep: "Brep" = None):
-        return cls(
-            _Brep=brep,
-            FaceIndex=args[0],
-            Type=BrepLoopType(args[1]),
-            TrimIndices=args[2:],
-        )
-
-    def to_list(self) -> List[int]:
-        return [
-            self.FaceIndex,
-            self.Type.value,
-            *self.TrimIndices,
-        ]
-
-
-class BrepTrimType(int, Enum):
-    Unknown = 0
-    Boundary = 1
-    Mated = 2
-    Seam = 3
-    Singular = 4
-    CurveOnSurface = 5
-    PointOnSurface = 6
-    Slit = 7
-
-
-class BrepTrim(Base, speckle_type=GEOMETRY + "BrepTrim"):
-    _Brep: "Brep" = None
-    EdgeIndex: int = None
-    StartIndex: int = None
-    EndIndex: int = None
-    FaceIndex: int = None
-    LoopIndex: int = None
-    CurveIndex: int = None
-    IsoStatus: int = None
-    TrimType: BrepTrimType = None
-    IsReversed: bool = None
-    Domain: Interval = None
-
-    @property
-    def _face(self):
-        if self._Brep:
-            return self._Brep.Faces[self.FaceIndex]  # pylint: disable=no-member
-
-    @property
-    def _loop(self):
-        if self._Brep:
-            return self._Brep.Loops[self.LoopIndex]  # pylint: disable=no-member
-
-    @property
-    def _edge(self):
-        if self._Brep:
-            # pylint: disable=no-member
-            return self._Brep.Edges[self.EdgeIndex] if self.EdgeIndex != -1 else None
-
-    @property
-    def _curve_2d(self):
-        if self._Brep:
-            return self._Brep.Curve2D[self.CurveIndex]  # pylint: disable=no-member
-
-    @classmethod
-    def from_list(cls, args: List[Any], brep: "Brep" = None) -> "BrepTrim":
-        return cls(
-            _Brep=brep,
-            EdgeIndex=args[0],
-            StartIndex=args[1],
-            EndIndex=args[2],
-            FaceIndex=args[3],
-            LoopIndex=args[4],
-            CurveIndex=args[5],
-            IsoStatus=args[6],
-            TrimType=BrepTrimType(args[7]),
-            IsReversed=bool(args[8]),
-        )
-
-    def to_list(self) -> List[Any]:
-        return [
-            self.EdgeIndex,
-            self.StartIndex,
-            self.EndIndex,
-            self.FaceIndex,
-            self.LoopIndex,
-            self.CurveIndex,
-            self.IsoStatus,
-            self.TrimType.value,
-            int(self.IsReversed),
-        ]
-
-
-class Brep(
-    Base,
-    speckle_type=GEOMETRY + "Brep",
-    chunkable={
-        "SurfacesValue": 31250,
-        "Curve3DValues": 31250,
-        "Curve2DValues": 31250,
-        "VerticesValue": 31250,
-        "EdgesValue": 62500,
-        "LoopsValue": 62500,
-        "FacesValue": 62500,
-        "TrimsValue": 62500,
-    },
-    detachable={"displayValue"},
-    serialize_ignore={
-        "Surfaces",
-        "Curve3D",
-        "Curve2D",
-        "Vertices",
-        "Trims",
-        "Edges",
-        "Loops",
-        "Faces",
-    },
-):
-    provenance: str = None
-    bbox: Box = None
-    area: float = None
-    volume: float = None
-    _displayValue: List[Mesh] = None
-    Surfaces: List[Surface] = None
-    Curve3D: List[Base] = None
-    Curve2D: List[Base] = None
-    Vertices: List[Point] = None
-    Edges: List[BrepEdge] = None
-    Loops: List[BrepLoop] = None
-    Faces: List[BrepFace] = None
-    Trims: List[BrepTrim] = None
-    IsClosed: bool = None
-    Orientation: int = None
-
-    def _inject_self_into_children(self, children: Optional[List[Base]]) -> List[Base]:
-        if children is None:
-            return children
-
-        for child in children:
-            child._Brep = self  # pylint: disable=protected-access
-        return children
-
-    # set as prop for now for backwards compatibility
-    @property
-    def displayValue(self) -> List[Mesh]:
-        return self._displayValue
-
-    @displayValue.setter
-    def displayValue(self, value):
-        if isinstance(value, Mesh):
-            self._displayValue = [value]
-        elif isinstance(value, list):
-            self._displayValue = value
-
-    @property
-    def EdgesValue(self) -> List[BrepEdge]:
-        return None if self.Edges is None else ObjectArray.from_objects(self.Edges).data
-
-    @EdgesValue.setter
-    def EdgesValue(self, value: List[float]):
-        if not value:
-            return
-
-        self.Edges = ObjectArray.decode_data(value, BrepEdge.from_list, brep=self)
-
-    @property
-    def LoopsValue(self) -> List[BrepLoop]:
-        return None if self.Loops is None else ObjectArray.from_objects(self.Loops).data
-
-    @LoopsValue.setter
-    def LoopsValue(self, value: List[int]):
-        if not value:
-            return
-
-        self.Loops = ObjectArray.decode_data(value, BrepLoop.from_list, brep=self)
-
-    @property
-    def FacesValue(self) -> List[int]:
-        return None if self.Faces is None else ObjectArray.from_objects(self.Faces).data
-
-    @FacesValue.setter
-    def FacesValue(self, value: List[int]):
-        if not value:
-            return
-
-        self.Faces = ObjectArray.decode_data(value, BrepFace.from_list, brep=self)
-
-    @property
-    def SurfacesValue(self) -> List[float]:
-        return (
-            None
-            if self.Surfaces is None
-            else ObjectArray.from_objects(self.Surfaces).data
-        )
-
-    @SurfacesValue.setter
-    def SurfacesValue(self, value: List[float]):
-        if not value:
-            return
-
-        self.Surfaces = ObjectArray.decode_data(value, Surface.from_list)
-
-    @property
-    def Curve3DValues(self) -> List[float]:
-        return (
-            None if self.Curve3D is None else CurveArray.from_curves(self.Curve3D).data
-        )
-
-    @Curve3DValues.setter
-    def Curve3DValues(self, value: List[float]):
-        crv_array = CurveArray(value)
-        self.Curve3D = crv_array.to_curves()
-
-    @property
-    def Curve2DValues(self) -> List[Base]:
-        return (
-            None if self.Curve2D is None else CurveArray.from_curves(self.Curve2D).data
-        )
-
-    @Curve2DValues.setter
-    def Curve2DValues(self, value: List[float]):
-        crv_array = CurveArray(value)
-        self.Curve2D = crv_array.to_curves()
-
-    @property
-    def VerticesValue(self) -> List[Point]:
-        if self.Vertices is None:
-            return None
-        encoded_unit = get_encoding_from_units(self.Vertices[0]._units)
-        values = [encoded_unit]
-        for vertex in self.Vertices:
-            values.extend(vertex.to_list())
-        return values
-
-    @VerticesValue.setter
-    def VerticesValue(self, value: List[float]):
-        value = value.copy()
-        units = get_units_from_encoding(value.pop(0))
-
-        vertices = []
-
-        for i in range(0, len(value), 3):
-            vertex = Point.from_list(value[i : i + 3])
-            vertex._units = units
-            vertices.append(vertex)
-
-        self.Vertices = vertices
-
-    # TODO: can this be consistent with loops, edges, faces, curves, etc and prepend with the chunk list? needs to happen in sharp first
-    @property
-    def TrimsValue(self) -> List[float]:
-        # return None if self.Trims is None else ObjectArray.from_objects(self.Trims).data
-        if not self.Trims:
-            return
-        value = []
-        for trim in self.Trims:
-            value.extend(trim.to_list())
-        return value
-
-    @TrimsValue.setter
-    def TrimsValue(self, value: List[float]):
-        if not value:
-            return
-
-        # self.Trims = ObjectArray.decode_data(value, BrepTrim.from_list, brep=self)
-        self.Trims = [
-            BrepTrim.from_list(value[i : i + 9], self) for i in range(0, len(value), 9)
-        ]
-
-
-BrepEdge.update_forward_refs()
-BrepLoop.update_forward_refs()
-BrepTrim.update_forward_refs()
-BrepFace.update_forward_refs()

specklepy/objects/other.py

@@ -1,214 +0,0 @@
-from typing import Any, List
-from specklepy.objects.geometry import Point, Vector
-from .base import Base
-
-OTHER = "Objects.Other."
-
-IDENTITY_TRANSFORM = [
-    1.0,
-    0.0,
-    0.0,
-    0.0,
-    0.0,
-    1.0,
-    0.0,
-    0.0,
-    0.0,
-    0.0,
-    1.0,
-    0.0,
-    0.0,
-    0.0,
-    0.0,
-    1.0,
-]
-
-
-class RenderMaterial(Base, speckle_type=OTHER + "RenderMaterial"):
-    name: str = None
-    opacity: float = 1
-    metalness: float = 0
-    roughness: float = 1
-    diffuse: int = -2894893  # light gray arbg
-    emissive: int = -16777216  # black arbg
-
-
-class Transform(
-    Base,
-    speckle_type=OTHER + "Transform",
-    serialize_ignore={"translation", "scaling", "is_identity"},
-):
-    """The 4x4 transformation matrix
-
-    The 3x3 sub-matrix determines scaling.
-    The 4th column defines translation, where the last value is a divisor (usually equal to 1).
-    """
-
-    _value: List[float] = None
-
-    @property
-    def value(self) -> List[float]:
-        """The transform matrix represented as a flat list of 16 floats"""
-        return self._value
-
-    @value.setter
-    def value(self, value: List[float]) -> None:
-        try:
-            value = [float(x) for x in value]
-        except (ValueError, TypeError) as error:
-            raise ValueError(
-                f"Could not create a Transform object with the requested value. Input must be a 16 element list of numbers. Value provided: {value}"
-            ) from error
-
-        if len(value) != 16:
-            raise ValueError(
-                f"Could not create a Transform object: input list should be 16 floats long, but was {len(value)} long"
-            )
-
-        self._value = value
-
-    @property
-    def translation(self) -> List[float]:
-        """The final column of the matrix which defines the translation"""
-        return [self._value[i] for i in (3, 7, 11, 15)]
-
-    @property
-    def scaling(self) -> List[float]:
-        """The 3x3 scaling sub-matrix"""
-        return [self._value[i] for i in (0, 1, 2, 4, 5, 6, 8, 9, 10)]
-
-    @property
-    def is_identity(self) -> bool:
-        return self.value == IDENTITY_TRANSFORM
-
-    def apply_to_point(self, point: Point) -> Point:
-        """Transform a single speckle Point
-
-        Arguments:
-            point {Point} -- the speckle Point to transform
-
-        Returns:
-            Point -- a new transformed point
-        """
-        coords = self.apply_to_point_value([point.x, point.y, point.z])
-        return Point(x=coords[0], y=coords[1], z=coords[2], units=point.units)
-
-    def apply_to_point_value(self, point_value: List[float]) -> List[float]:
-        """Transform a list of three floats representing a point
-
-        Arguments:
-            point_value {List[float]} -- a list of 3 floats
-
-        Returns:
-            List[float] -- the list with the transform applied
-        """
-        transformed = [
-            point_value[0] * self._value[i]
-            + point_value[1] * self._value[i + 1]
-            + point_value[2] * self._value[i + 2]
-            + self._value[i + 3]
-            for i in range(0, 15, 4)
-        ]
-
-        return [transformed[i] / transformed[3] for i in range(3)]
-
-    def apply_to_points(self, points: List[Point]) -> List[Point]:
-        """Transform a list of speckle Points
-
-        Arguments:
-            points {List[Point]} -- the list of speckle Points to transform
-
-        Returns:
-            List[Point] -- a new list of transformed points
-        """
-        return [self.apply_to_point(point) for point in points]
-
-    def apply_to_points_values(self, points_value: List[float]) -> List[float]:
-        """Transform a list of speckle Points
-
-        Arguments:
-            points {List[float]} -- a flat list of floats representing points to transform
-
-        Returns:
-            List[float] -- a new transformed list
-        """
-        if len(points_value) % 3 != 0:
-            raise ValueError(
-                "Cannot apply transform as the points list is malformed: expected length to be multiple of 3"
-            )
-        transformed = []
-        for i in range(0, len(points_value), 3):
-            transformed.extend(self.apply_to_point_value(points_value[i : i + 3]))
-
-        return transformed
-
-    def apply_to_vector(self, vector: Vector) -> Vector:
-        """Transform a single speckle Vector
-
-        Arguments:
-            point {Vector} -- the speckle Vector to transform
-
-        Returns:
-            Vector -- a new transformed point
-        """
-        coords = self.apply_to_vector_value([vector.x, vector.y, vector.z])
-        return Vector(x=coords[0], y=coords[1], z=coords[2], units=vector.units)
-
-    def apply_to_vector_value(self, vector_value: List[float]) -> List[float]:
-        """Transform a list of three floats representing a vector
-
-        Arguments:
-            vector_value {List[float]} -- a list of 3 floats
-
-        Returns:
-            List[float] -- the list with the transform applied
-        """
-        return [
-            vector_value[0] * self._value[i]
-            + vector_value[1] * self._value[i + 1]
-            + vector_value[2] * self._value[i + 2]
-            for i in range(0, 15, 4)
-        ][:3]
-
-    @classmethod
-    def from_list(cls, value: List[float] = None) -> "Transform":
-        """Returns a Transform object from a list of 16 numbers. If no value is provided, an identity transform will be returned.
-
-        Arguments:
-            value {List[float]} -- the matrix as a flat list of 16 numbers (defaults to the identity transform)
-
-        Returns:
-            Transform -- a complete transform object
-        """
-        if not value:
-            value = IDENTITY_TRANSFORM
-        return cls(value=value)
-
-
-class BlockDefinition(
-    Base, speckle_type=OTHER + "BlockDefinition", detachable={"geometry"}
-):
-    name: str = None
-    basePoint: Point = None
-    geometry: List[Base] = None
-
-
-class BlockInstance(
-    Base, speckle_type=OTHER + "BlockInstance", detachable={"blockDefinition"}
-):
-    blockDefinition: BlockDefinition = None
-    transform: Transform = None
-
-
-# TODO: prob move this into a built elements module, but just trialling this for now
-class RevitParameter(Base, speckle_type="Objects.BuiltElements.Revit.Parameter"):
-    name: str = None
-    value: Any = None
-    applicationUnitType: str = None  # eg UnitType UT_Length
-    applicationUnit: str = None  # DisplayUnitType eg DUT_MILLIMITERS
-    applicationInternalName: str = (
-        None  # BuiltInParameterName or GUID for shared parameter
-    )
-    isShared: bool = False
-    isReadOnly: bool = False
-    isTypeParameter: bool = False

specklepy/objects/structural/__init__.py

@@ -1,40 +0,0 @@
-"""Builtin Speckle object kit."""
-
-from specklepy.objects.structural.analysis import *
-from specklepy.objects.structural.properties import *
-from specklepy.objects.structural.material import *
-from specklepy.objects.structural.geometry import *
-from specklepy.objects.structural.loading import *
-from specklepy.objects.structural.axis import Axis
-
-__all__ = [
-    "Element1D",
-    "Element2D",
-    "Element3D",
-    "Axis",
-    "Node",
-    "Restraint",
-    "Load",
-    "LoadBeam",
-    "LoadCase",
-    "LoadCombinations",
-    "LoadFace",
-    "LoadGravity",
-    "LoadNode",
-    "Model",
-    "ModelInfo",
-    "ModelSettings",
-    "ModelUnits",
-    "Concrete",
-    "Material",
-    "Steel",
-    "Timber",
-    "Property",
-    "Property1D",
-    "Property2D",
-    "Property3D",
-    "PropertyDamper",
-    "PropertyMass",
-    "PropertySpring",
-    "SectionProfile",
-]

specklepy/objects/structural/analysis.py

@@ -1,51 +0,0 @@
-from typing import List
-
-from ..base import Base
-from ..geometry import *
-from .properties import *
-
-STRUCTURAL_ANALYSIS = "Objects.Structural.Analysis."
-
-
-class ModelUnits(Base, speckle_type=STRUCTURAL_ANALYSIS + "ModelUnits"):
-    length: str = None
-    sections: str = None
-    displacements: str = None
-    stress: str = None
-    force: str = None
-    mass: str = None
-    time: str = None
-    temperature: str = None
-    velocity: str = None
-    acceleration: str = None
-    energy: str = None
-    angle: str = None
-    strain: str = None
-
-
-class ModelSettings(Base, speckle_type=STRUCTURAL_ANALYSIS + "ModelSettings"):
-    modelUnits: ModelUnits = None
-    steelCode: str = None
-    concreteCode: str = None
-    coincidenceTolerance: float = 0.0
-
-
-class ModelInfo(Base, speckle_type=STRUCTURAL_ANALYSIS + "ModelInfo"):
-    name: str = None
-    description: str = None
-    projectNumber: str = None
-    projectName: str = None
-    settings: ModelSettings = None
-    initials: str = None
-    application: str = None
-
-
-class Model(Base, speckle_type=STRUCTURAL_ANALYSIS + "Model"):
-    specs: ModelInfo = None
-    nodes: List = None
-    elements: List = None
-    loads: List = None
-    restraints: List = None
-    properties: List = None
-    materials: List = None
-    layerDescription: str = None

specklepy/objects/structural/axis.py

@@ -1,8 +0,0 @@
-from ..base import Base
-from ..geometry import Plane
-
-
-class Axis(Base, speckle_type="Objects.Structural.Geometry.Axis"):
-    name: str = None
-    axisType: str = None
-    plane: Plane = None

specklepy/objects/structural/geometry.py

@@ -1,108 +0,0 @@
-from enum import Enum
-from typing import List
-
-from ..base import Base
-from ..geometry import *
-from .properties import *
-from .axis import Axis
-
-STRUCTURAL_GEOMETRY = "Objects.Structural.Geometry"
-
-
-class ElementType1D(int, Enum):
-    Beam = 0
-    Brace = 1
-    Bar = 2
-    Column = 3
-    Rod = 4
-    Spring = 5
-    Tie = 6
-    Strut = 7
-    Link = 8
-    Damper = 9
-    Cable = 10
-    Spacer = 11
-    Other = 12
-    Null = 13
-
-
-class ElementType2D(int, Enum):
-    Quad4 = 0
-    Quad8 = 1
-    Triangle3 = 2
-    Triangle6 = 3
-
-
-class ElementType3D(int, Enum):
-    Brick8 = 0
-    Wedge6 = 1
-    Pyramid5 = 2
-    Tetra4 = 3
-
-
-class Restraint(Base, speckle_type=STRUCTURAL_GEOMETRY + ".Restraint"):
-    code: str = None
-    stiffnessX: float = 0.0
-    stiffnessY: float = 0.0
-    stiffnessZ: float = 0.0
-    stiffnessXX: float = 0.0
-    stiffnessYY: float = 0.0
-    stiffnessZZ: float = 0.0
-    units: str = None
-
-
-class Node(Base, speckle_type=STRUCTURAL_GEOMETRY + ".Node"):
-    name: str = None
-    basePoint: Point = None
-    constraintAxis: Axis = None
-    restraint: Restraint = None
-    springProperty: PropertySpring = None
-    massProperty: PropertyMass = None
-    damperProperty: PropertyDamper = None
-    units: str = None
-
-
-class Element1D(Base, speckle_type=STRUCTURAL_GEOMETRY + ".Element1D"):
-    name: str = None
-    baseLine: Line = None
-    property: Property1D = None
-    type: ElementType1D = None
-    end1Releases: Restraint = None
-    end2Releases: Restraint = None
-    end1Offset: Vector = None
-    end2Offset: Vector = None
-    orientationNode: Node = None
-    orinetationAngle: float = 0.0
-    localAxis: Plane = None
-    parent: Base = None
-    end1Node: Node = Node
-    end2Node: Node = Node
-    topology: List = None
-    displayMesh: Mesh = None
-    units: str = None
-
-
-class Element2D(Base, speckle_type=STRUCTURAL_GEOMETRY + ".Element2D"):
-    name: str = None
-    property: Property2D = None
-    type: ElementType2D = None
-    offset: float = 0.0
-    orientationAngle: float = 0.0
-    parent: Base = None
-    topology: List = None
-    displayMesh: Mesh = None
-    units: str = None
-
-
-class Element3D(Base, speckle_type=STRUCTURAL_GEOMETRY + ".Element3D"):
-    name: str = None
-    baseMesh: Mesh = None
-    property: Property3D = None
-    type: ElementType3D = None
-    orientationAngle: float = 0.0
-    parent: Base = None
-    topology: List
-    units: str = None
-
-
-# class Storey needs ependency on built elements first

specklepy/objects/structural/loading.py

@@ -1,144 +0,0 @@
-from enum import Enum
-from typing import List
-
-from ..base import Base
-from .geometry import *
-
-STRUCTURAL_LOADING = "Objects.Structural.Loading."
-
-
-class LoadType(int, Enum):
-
-    none = 0
-    Dead = 1
-    SuperDead = 2
-    Soil = 3
-    Live = 4
-    LiveRoof = 5
-    ReducibleLive = 6
-    Wind = 7
-    Snow = 8
-    Rain = 9
-    Thermal = 10
-    Notional = 11
-    Prestress = 12
-    Equivalent = 13
-    Accidental = 14
-    SeismicRSA = 15
-    SeismicAccTorsion = 16
-    SeismicStatic = 17
-    Other = 18
-
-
-class ActionType(int, Enum):
-
-    none = 0
-    Permanent = 1
-    Variable = 2
-    Accidental = 3
-
-
-class BeamLoadType(int, Enum):
-
-    Point = 0
-    Uniform = 1
-    Linear = 2
-    Patch = 3
-    TriLinear = 4
-
-
-class FaceLoadType(int, Enum):
-
-    Constant = 0
-    Variable = 1
-    Point = 2
-
-
-class LoadDirection2D(int, Enum):
-
-    X = 0
-    Y = 1
-    Z = 2
-
-
-class LoadDirection(int, Enum):
-
-    X = 0
-    Y = 1
-    Z = 2
-    XX = 3
-    YY = 4
-    ZZ = 5
-
-
-class LoadAxisType(int, Enum):
-    Global = 0
-    Local = 1  # local element axes
-    DeformedLocal = (
-        2  # element local axis that is embedded in the element as it deforms
-    )
-
-
-class CombinationType(int, Enum):
-
-    LinearAdd = 0
-    Envelope = 1
-    AbsoluteAdd = 2
-    SRSS = 3
-    RangeAdd = 4
-
-
-class LoadCase(Base, speckle_type=STRUCTURAL_LOADING + "LoadCase"):
-    name: str = None
-    loadType: LoadType = None
-    group: str = None
-    actionType: ActionType = None
-    description: str = None
-
-
-class Load(Base, speckle_type=STRUCTURAL_LOADING + "Load"):
-    name: str = None
-    units: str = None
-    loadCase: LoadCase = None
-
-
-class LoadBeam(Load, speckle_type=STRUCTURAL_LOADING + "LoadBeam"):
-    elements: List = None
-    loadType: BeamLoadType = None
-    direction: LoadDirection = None
-    loadAxis: Axis = None
-    loadAxisType: LoadAxisType = None
-    isProjected: bool = None
-    values: List = None
-    positions: List = None
-
-
-class LoadCombinations(Base, speckle_type=STRUCTURAL_LOADING + "LoadCombination"):
-    name: str = None
-    loadCases: List
-    loadFactors: List
-    combinationType: CombinationType
-
-
-class LoadFace(Load, speckle_type=STRUCTURAL_LOADING + "LoadFace"):
-    elements: List = None
-    loadType: FaceLoadType = None
-    direction: LoadDirection2D = None
-    loadAxis: Axis = None
-    loadAxisType: LoadAxisType = None
-    isProjected: bool = None
-    values: List = None
-    positions: List = None
-
-
-class LoadGravity(Load, speckle_type=STRUCTURAL_LOADING + "LoadGravity"):
-    elements: List = None
-    nodes: List = None
-    gravityFactors: Vector = None
-
-
-class LoadNode(Load, speckle_type=STRUCTURAL_LOADING + "LoadNode"):
-    nodes: List = None
-    loadAxis: Axis = None
-    direction: LoadDirection = None
-    value: float = 0.0

specklepy/objects/structural/material.py

@@ -1,59 +0,0 @@
-from enum import Enum
-
-from ..base import Base
-
-
-STRUCTURAL_MATERIALS = "Objects.Structural.Materials"
-
-
-class MaterialType(int, Enum):
-    Concrete = 0
-    Steel = 1
-    Timber = 2
-    Aluminium = 3
-    Masonry = 4
-    FRP = 5
-    Glass = 6
-    Fabric = 7
-    Rebar = 8
-    Tendon = 9
-    ColdFormed = 10
-    Other = 11
-
-
-class Material(Base, speckle_type=STRUCTURAL_MATERIALS):
-    name: str = None
-    grade: str = None
-    materialType: MaterialType = None
-    designCode: str = None
-    codeYear: str = None
-    strength: float = 0.0
-    elasticModulus: float = 0.0
-    poissonsRatio: float = 0.0
-    shearModulus: float = 0.0
-    density: float = 0.0
-    thermalExpansivity: float = 0.0
-    dampingRatio: float = 0.0
-    cost: float = 0.0
-    materialSafetyFactor: float = 0.0
-
-
-class Concrete(Material, speckle_type=STRUCTURAL_MATERIALS + ".Concrete"):
-    compressiveStrength: float = 0.0
-    tensileStrength: float = 0.0
-    flexuralStrength: float = 0.0
-    maxCompressiveStrain: float = 0.0
-    maxTensileStrain: float = 0.0
-    maxAggregateSize: float = 0.0
-    lightweight: bool = None
-
-
-class Steel(Material, speckle_type=STRUCTURAL_MATERIALS + ".Steel"):
-    yieldStrength: float = 0.0
-    ultimateStrength: float = 0.0
-    maxStrain: float = 0.0
-    strainHardeningModulus: float = 0.0
-
-
-class Timber(Material, speckle_type=STRUCTURAL_MATERIALS + ".Timber"):
-    species: str = None

specklepy/objects/structural/properties.py

@@ -1,212 +0,0 @@
-from enum import Enum
-
-from ..base import Base
-
-from .material import *
-from .axis import Axis
-
-
-STRUCTURAL_PROPERTY = "Objectives.Structural.Properties"
-
-
-class MemberType(int, Enum):
-    Beam = 0
-    Column = 1
-    Generic1D = 2
-    Slab = 3
-    Wall = 4
-    Generic2D = 5
-    VoidCutter1D = 6
-    VoidCutter2D = 7
-
-
-class BaseReferencePoint(int, Enum):
-    Centroid = 0
-    TopLeft = 1
-    TopCentre = 2
-    TopRight = 3
-    MidLeft = 4
-    MidRight = 5
-    BotLeft = 6
-    BotCentre = 7
-    BotRight = 8
-
-
-class ReferenceSurface(int, Enum):
-    Top = 0
-    Middle = 1
-    Bottom = 2
-
-
-class PropertyType2D(int, Enum):
-
-    Stress = 0
-    Fabric = 1
-    Plate = 2
-    Shell = 3
-    Curved = 4
-    Wall = 5
-    Strain = 6
-    Axi = 7
-    Load = 8
-
-
-class PropertyType3D(int, Enum):
-    Solid = 0
-    Infinite = 1
-
-
-class ShapeType(int, Enum):
-    Rectangular = 0
-    Circular = 1
-    I = 2
-    Tee = 3
-    Angle = 4
-    Channel = 5
-    Perimeter = 6
-    Box = 7
-    Catalogue = 8
-    Explicit = 9
-
-
-class PropertyTypeSpring(int, Enum):
-    Axial = 0
-    Torsional = 1
-    General = 2
-    Matrix = 3
-    TensionOnly = 4
-    CompressionOnly = 5
-    Connector = 6
-    LockUp = 7
-    Gap = 8
-    Friction = 9
-
-
-class PropertyTypeDamper(int, Enum):
-    Axial = 0
-    Torsional = 1
-    General = 2
-
-
-class Property(Base, speckle_type=STRUCTURAL_PROPERTY):
-    name: str = None
-
-
-class SectionProfile(Base, speckle_type=STRUCTURAL_PROPERTY + ".SectionProfile"):
-    name: str = None
-    shapeType: ShapeType = None
-    area: float = 0.0
-    Iyy: float = 0.0
-    Izz: float = 0.0
-    J: float = 0.0
-    Ky: float = 0.0
-    weight: float = 0.0
-    units: str = None
-
-
-class Property1D(Property, speckle_type=STRUCTURAL_PROPERTY + ".Property1D"):
-    memberType: MemberType = None
-    Material: Material = None
-    SectionProfile: SectionProfile = None
-    BaseReferencePoint: BaseReferencePoint = None
-    offsetY: float = 0.0
-    offsetZ: float = 0.0
-
-
-class Property2D(Property, speckle_type=STRUCTURAL_PROPERTY + ".Property2D"):
-    PropertyType2D: PropertyType2D = None
-    thickness: float = 0.0
-    Material: Material = None
-    axis: Axis = None
-    referenceSurface: ReferenceSurface = None
-    zOffset: float = 0.0
-    modifierInPlane: float = 0.0
-    modifierBending: float = 0.0
-    modifierShear: float = 0.0
-    modifierVolume: float = 0.0
-
-
-class Property3D(Property, speckle_type=STRUCTURAL_PROPERTY + ".Property3D"):
-    PropertyType3D: PropertyType3D = None
-    Material: Material = None
-    axis: Axis = None
-
-
-class PropertyDamper(Property, speckle_type=STRUCTURAL_PROPERTY + ".PropertyDamper"):
-    damperType: PropertyTypeDamper = None
-    dampingX: float = 0.0
-    dampingY: float = 0.0
-    dampingZ: float = 0.0
-    dampingXX: float = 0.0
-    dampingYY: float = 0.0
-    dampingZZ: float = 0.0
-
-
-class PropertyMass(Property, speckle_type=STRUCTURAL_PROPERTY + ".PropertyMass"):
-    mass: float = 0.0
-    inertiaXX: float = 0.0
-    inertiaYY: float = 0.0
-    inertiaZZ: float = 0.0
-    inertiaXY: float = 0.0
-    inertiaYZ: float = 0.0
-    inertiaZX: float = 0.0
-    massModified: bool = None
-    massModifierX: float = 0.0
-    massModifierY: float = 0.0
-    massModifierZ: float = 0.0
-
-
-class PropertySpring(Property, speckle_type=STRUCTURAL_PROPERTY + ".PropertySpring"):
-    springType: PropertyTypeSpring = None
-    springCurveX: float = 0.0
-    stiffnessX: float = 0.0
-    springCurveY: float = 0.0
-    stiffnessY: float = 0.0
-    springCurveZ: float = 0.0
-    stiffnessZ: float = 0.0
-    springCurveXX: float = 0.0
-    stiffnessXX: float = 0.0
-    springCurveYY: float = 0.0
-    stiffnessYY: float = 0.0
-    springCurveZZ: float = 0.0
-    stiffnessZZ: float = 0.0
-    dampingRatio: float = 0.0
-    dampingX: float = 0.0
-    dampingY: float = 0.0
-    dampingZ: float = 0.0
-    dampingXX: float = 0.0
-    dampingYY: float = 0.0
-    dampingZZ: float = 0.0
-    matrix: float = 0.0
-    postiveLockup: float = 0.0
-    frictionCoefficient: float = 0.0
-
-
-class ReferenceSurfaceEnum(int, Enum):
-    Concrete = 0
-    Steel = 1
-    Timber = 2
-    Aluminium = 3
-    Masonry = 4
-    FRP = 5
-    Glass = 6
-    Fabric = 7
-    Rebar = 8
-    Tendon = 9
-    ColdFormed = 10
-    Other = 11
-
-
-class shapeType(int, Enum):
-    Concrete = 0
-    Steel = 1
-    Timber = 2
-    Aluminium = 3
-    Masonry = 4
-    FRP = 5
-    Glass = 6
-    Fabric = 7
-    Rebar = 8
-    Tendon = 9
-    ColdFormed = 10
-    Other = 11

specklepy/objects/structural/results.py

@@ -1,174 +0,0 @@
-from typing import List
-
-from ..base import Base
-from ..geometry import *
-from .loading import *
-from .geometry import *
-from .analysis import Model
-
-STRUCTURAL_RESULTS = "Objects.Structural.Results."
-
-
-class Result(Base, speckle_type=STRUCTURAL_RESULTS + "Result"):
-    resultCase: Base = None
-    permutation: str = None
-    description: str = None
-
-
-class ResultSet1D(Result, speckle_type=STRUCTURAL_RESULTS + "ResultSet1D"):
-    results1D: List
-
-
-class Result1D(Result, speckle_type=STRUCTURAL_RESULTS + "Result1D"):
-    element: Element1D = None
-    position: float = 0.0
-    dispX: float = 0.0
-    dispY: float = 0.0
-    dispZ: float = 0.0
-    rotXX: float = 0.0
-    rotYY: float = 0.0
-    rotZZ: float = 0.0
-    forceX: float = 0.0
-    forceY: float = 0.0
-    forceZ: float = 0.0
-    momentXX: float = 0.0
-    momentYY: float = 0.0
-    momentZZ: float = 0.0
-    axialStress: float = 0.0
-    shearStressY: float = 0.0
-    shearStressZ: float = 0.0
-    bendingStressYPos: float = 0.0
-    bendingStressYNeg: float = 0.0
-    bendingStressZPos: float = 0.0
-    bendingStressZNeg: float = 0.0
-    combinedStressMax: float = 0.0
-    combinedStressMin: float = 0.0
-
-
-class ResultSet2D(Result, speckle_type=STRUCTURAL_RESULTS + "ResultSet2D"):
-    results2D: List
-
-
-class Result2D(Result, speckle_type=STRUCTURAL_RESULTS + "Result2D"):
-    element: Element2D = None
-    position: List
-    dispX: float = 0.0
-    dispY: float = 0.0
-    dispZ: float = 0.0
-    forceXX: float = 0.0
-    forceYY: float = 0.0
-    forceXY: float = 0.0
-    momentXX: float = 0.0
-    momentYY: float = 0.0
-    momentXY: float = 0.0
-    shearX: float = 0.0
-    shearY: float = 0.0
-    stressTopXX: float = 0.0
-    stressTopYY: float = 0.0
-    stressTopZZ: float = 0.0
-    stressTopXY: float = 0.0
-    stressTopYZ: float = 0.0
-    stressTopZX: float = 0.0
-    stressMidXX: float = 0.0
-    stressMidYY: float = 0.0
-    stressMidZZ: float = 0.0
-    stressMidXY: float = 0.0
-    stressMidYZ: float = 0.0
-    stressMidZX: float = 0.0
-    stressBotXX: float = 0.0
-    stressBotYY: float = 0.0
-    stressBotZZ: float = 0.0
-    stressBotXY: float = 0.0
-    stressBotYZ: float = 0.0
-    stressBotZX: float = 0.0
-
-
-class ResultSet3D(Result, speckle_type=STRUCTURAL_RESULTS + "ResultSet3D"):
-    results3D: List
-
-
-class Result3D(Result, speckle_type=STRUCTURAL_RESULTS + "Result3D"):
-    element: Element3D = None
-    position: List
-    dispX: float = 0.0
-    dispY: float = 0.0
-    dispZ: float = 0.0
-    stressXX: float = 0.0
-    stressYY: float = 0.0
-    stressZZ: float = 0.0
-    stressXY: float = 0.0
-    stressYZ: float = 0.0
-    stressZX: float = 0.0
-
-
-class ResultGlobal(Result, speckle_type=STRUCTURAL_RESULTS + "ResultGlobal"):
-    model: Model = None
-    loadX: float = 0.0
-    loadY: float = 0.0
-    loadZ: float = 0.0
-    loadXX: float = 0.0
-    loadYY: float = 0.0
-    loadZZ: float = 0.0
-    reactionX: float = 0.0
-    reactionY: float = 0.0
-    reactionZ: float = 0.0
-    reactionXX: float = 0.0
-    reactionYY: float = 0.0
-    reactionZZ: float = 0.0
-    mode: float = 0.0
-    frequency: float = 0.0
-    loadFactor: float = 0.0
-    modalStiffness: float = 0.0
-    modalGeoStiffness: float = 0.0
-    effMassX: float = 0.0
-    effMassY: float = 0.0
-    effMassZ: float = 0.0
-    effMassXX: float = 0.0
-    effMassYY: float = 0.0
-    effMassZZ: float = 0.0
-
-
-class ResultSetNode(Result, speckle_type=STRUCTURAL_RESULTS + "ResultSetNode"):
-    resultsNode: List
-
-
-class ResultNode(Result, speckle_type=STRUCTURAL_RESULTS + " ResultNode"):
-    node: Node = None
-    dispX: float = 0.0
-    dispY: float = 0.0
-    dispZ: float = 0.0
-    rotXX: float = 0.0
-    rotYY: float = 0.0
-    rotZZ: float = 0.0
-    reactionX: float = 0.0
-    reactionY: float = 0.0
-    reactionZ: float = 0.0
-    reactionXX: float = 0.0
-    reactionYY: float = 0.0
-    reactionZZ: float = 0.0
-    constraintX: float = 0.0
-    constraintY: float = 0.0
-    constraintZ: float = 0.0
-    constraintXX: float = 0.0
-    constraintYY: float = 0.0
-    constraintZZ: float = 0.0
-    velX: float = 0.0
-    velY: float = 0.0
-    velZ: float = 0.0
-    velXX: float = 0.0
-    velYY: float = 0.0
-    velZZ: float = 0.0
-    accX: float = 0.0
-    accY: float = 0.0
-    accZ: float = 0.0
-    accXX: float = 0.0
-    accYY: float = 0.0
-    accZZ: float = 0.0
-
-
-class ResultSetAll(Base, speckle_type=None):
-    resultSet1D: ResultSet1D = None
-    resultSet2D: ResultSet2D = None
-    resultSet3D: ResultSet3D = None
-    resultsGlobal: ResultGlobal = None
-    resultsNode: ResultSetNode = None

specklepy/objects/units.py

@@ -1,70 +0,0 @@
-from typing import Union
-from specklepy.logging.exceptions import SpeckleException, SpeckleInvalidUnitException
-from enum import Enum
-
-
-class Units(Enum):
-    mm = "mm"
-    cm = "cm"
-    m = "m"
-    km = "km"
-    inches = "in"
-    feet = "ft"
-    yards = "yd"
-    miles = "mi"
-    none = "none"
-
-
-UNITS_STRINGS = {
-    Units.mm: ["mm", "mil", "millimeters", "millimetres"],
-    Units.cm: ["cm", "centimetre", "centimeter", "centimetres", "centimeters"],
-    Units.m: ["m", "meter", "meters", "metre", "metres"],
-    Units.km: ["km", "kilometer", "kilometre", "kilometers", "kilometres"],
-    Units.inches: ["in", "inch", "inches"],
-    Units.feet: ["ft", "foot", "feet"],
-    Units.yards: ["yd", "yard", "yards"],
-    Units.miles: ["mi", "mile", "miles"],
-    Units.none: ["none", "null"],
-}
-
-UNITS_ENCODINGS = {
-    Units.none: 0,
-    None: 0,
-    Units.mm: 1,
-    Units.cm: 2,
-    Units.m: 3,
-    Units.km: 4,
-    Units.inches: 5,
-    Units.feet: 6,
-    Units.yards: 7,
-    Units.miles: 8,
-}
-
-
-def get_units_from_string(unit: str) -> Units:
-    if not isinstance(unit, str):
-        raise SpeckleInvalidUnitException(unit)
-    unit = str.lower(unit)
-    for name, alternates in UNITS_STRINGS.items():
-        if unit in alternates:
-            return name
-    raise SpeckleInvalidUnitException(unit)
-
-
-def get_units_from_encoding(unit: int):
-    for name, encoding in UNITS_ENCODINGS.items():
-        if unit == encoding:
-            return name
-
-    raise SpeckleException(
-        message=f"Could not understand what unit {unit} is referring to. Please enter a valid unit encoding (eg {UNITS_ENCODINGS})."
-    )
-
-
-def get_encoding_from_units(unit: Union[Units, None]):
-    try:
-        return UNITS_ENCODINGS[unit]
-    except KeyError as e:
-        raise SpeckleException(
-            message=f"No encoding exists for unit {unit}. Please enter a valid unit to encode (eg {UNITS_ENCODINGS})."
-        ) from e

specklepy/paths.py

@@ -1,27 +0,0 @@
-import sys
-from pathlib import Path
-from appdirs import user_data_dir
-
-
-def base_path(app_name) -> Path:
-    # from appdirs https://github.com/ActiveState/appdirs/blob/master/appdirs.py
-    # default mac path is not the one we use (we use unix path), so using special case for this
-    system = sys.platform
-    if system.startswith("java"):
-        import platform
-
-        os_name = platform.java_ver()[3][0]
-        if os_name.startswith("Mac"):
-            system = "darwin"
-
-    if system == "darwin":
-        return Path(Path.home(), ".config", app_name)
-
-    return Path(user_data_dir(appname=app_name, appauthor=False, roaming=True))
-
-
-def accounts_path(app_name: str = "Speckle") -> Path:
-    """
-    Gets the path where the Speckle applications are looking for accounts.
-    """
-    return base_path(app_name).joinpath("Accounts")

specklepy/transports/server/__init__.py

@@ -1 +0,0 @@
-from .server import ServerTransport

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 +1,495 @@
+"""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
+from specklepy.core.api.models.current import Model, Version
+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)
+        )
+        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
+        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: {self.automation_run_data.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._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]:
+            object_results = {
+                "version": 2,
+                "values": {
+                    "objectResults": self._automation_result.model_dump(by_alias=True)[
+                        "objectResults"
+                    ],
+                    "blobIds": self._automation_result.blobs,
+                },
+            }
+        else:
+            object_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": object_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) -> None:
+        """Mark the current run a failure."""
+        self._mark_run(AutomationStatus.FAILED, status_message)
+
+    def mark_run_exception(self, status_message: str) -> None:
+        """Mark the current run a failure."""
+        self._mark_run(AutomationStatus.EXCEPTION, status_message)
+
+    def mark_run_success(self, status_message: Optional[str]) -> None:
+        """Mark the current run a success with an optional message."""
+        self._mark_run(AutomationStatus.SUCCEEDED, status_message)
+
+    def _mark_run(
+        self, status: AutomationStatus, status_message: Optional[str]
+    ) -> None:
+        duration = self.elapsed()
+        self._automation_result.status_message = status_message
+        self._automation_result.run_status = status
+        self._automation_result.elapsed = duration
+
+        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 +1,146 @@
+"""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 (
+        result.get("projectMutations")
+        .get("automationMutations")
+        .get("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["automationRunId"],
+        function_run_id=test_automation_run_data["functionRunId"],
+        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 +1,98 @@
+""""""
+
+from enum import Enum
+from typing import Any, Dict, List, Literal, Optional
+
+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, Optional[str]]
+    message: Optional[str]
+    metadata: Optional[Dict[str, Any]]
+    visual_overrides: Optional[Dict[str, Any]]
+
+
+class AutomationResult(AutomateBase):
+    """Schema accepted by the Speckle server as a result for an automation run."""
+
+    elapsed: float = 0
+    result_view: Optional[str] = None
+    result_versions: List[str] = Field(default_factory=list)
+    blobs: List[str] = Field(default_factory=list)
+    run_status: AutomationStatus = AutomationStatus.RUNNING
+    status_message: Optional[str] = None
+    object_results: list[ResultCase] = Field(default_factory=list)

src/speckleifc/__main__.py

@@ -0,0 +1,61 @@
+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_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",
+    )
+
+    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_id,
+            client,
+        )
+        with open(args.output_path, "w") as f:
+            json.dump({"success": True, "commitId": version.id}, f)
+    except Exception as e:
+        error_msg = f"IFC Importer failed with exception:\n{traceback.format_exc()}"
+        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,
+    TriangulationElement,
+    colour,
+    style,
+)
+
+from speckleifc.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(
+    shape: TriangulationElement, render_material_manager: RenderMaterialProxyManager
+) -> list[Base]:
+    geometry = cast(Triangulation, shape.geometry)
+    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(shape, 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(
+    shape: TriangulationElement, 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, shape.guid)
+
+    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 +1,52 @@
+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)
+    # Speckle meshes are all in world coords
+    ifc_settings.set("use-world-coords", 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 +1,156 @@
+import time
+from dataclasses import dataclass, field
+from typing import cast
+
+from ifcopenshell.entity_instance import entity_instance
+from ifcopenshell.geom import file
+from ifcopenshell.ifcopenshell_wrapper import 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.level_proxy_manager import LevelProxyManager
+from speckleifc.render_material_proxy_manager import RenderMaterialProxyManager
+from specklepy.logging.exceptions import SpeckleException
+from specklepy.objects import Base
+from specklepy.objects.data_objects import DataObject
+
+
+@dataclass
+class ImportJob:
+    ifc_file: file
+    cached_display_values: dict[int, list[Base]] = field(default_factory=dict)  # noqa: F821
+    _render_material_manager: RenderMaterialProxyManager = field(
+        default_factory=lambda: RenderMaterialProxyManager()
+    )
+    _level_proxy_manager: LevelProxyManager = field(
+        default_factory=lambda: LevelProxyManager()
+    )
+    geometries_count: int = 0
+    geometries_used: int = 0
+    _current_storey_data_object: DataObject | None = field(default=None, init=False)
+
+    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.cached_display_values.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.cached_display_values.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 = geometry_to_speckle(
+                    shape, self._render_material_manager
+                )
+                self.cached_display_values[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 _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)
+        tree["renderMaterialProxies"] = list(
+            self._render_material_manager.render_material_proxies.values()
+        )
+        tree["levelProxies"] = list(self._level_proxy_manager.level_proxies.values())
+        tree["version"] = 3
+
+        return tree

src/speckleifc/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/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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+conditioned on the non-exercise of one or more of the rights that are
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+or that patent license was granted, prior to 28 March 2007.
+
+  Nothing in this License shall be construed as excluding or limiting
+any implied license or other defenses to infringement that may
+otherwise be available to you under applicable patent law.
+
+  12. No Surrender of Others' Freedom.
+
+  If conditions are imposed on you (whether by court order, agreement or
+otherwise) that contradict the conditions of this License, they do not
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+to collect a royalty for further conveying from those to whom you convey
+the Program, the only way you could satisfy both those terms and this
+License would be to refrain entirely from conveying the Program.
+
+  13. Use with the GNU Affero General Public License.
+
+  Notwithstanding any other provision of this License, you have
+permission to link or combine any covered work with a work licensed
+under version 3 of the GNU Affero General Public License into a single
+combined work, and to convey the resulting work.  The terms of this
+License will continue to apply to the part which is the covered work,
+but the special requirements of the GNU Affero General Public License,
+section 13, concerning interaction through a network will apply to the
+combination as such.
+
+  14. Revised Versions of this License.
+
+  The Free Software Foundation may publish revised and/or new versions of
+the GNU 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
+Program specifies that a certain numbered version of the GNU General
+Public License "or any later version" applies to it, you have the
+option of following the terms and conditions either of that numbered
+version or of any later version published by the Free Software
+Foundation.  If the Program does not specify a version number of the
+GNU General Public License, you may choose any version ever published
+by the Free Software Foundation.
+
+  If the Program specifies that a proxy can decide which future
+versions of the GNU General Public License can be used, that proxy's
+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
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+
+  2. Conveying Modified Versions.
+
+  If you modify a copy of the Library, and, in your modifications, a
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+
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+
+   b) under the GNU GPL, with none of the additional permissions of
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+
+  3. Object Code Incorporating Material from Library Header Files.
+
+  The object code form of an Application may incorporate material from
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+   a) Give prominent notice with each copy of the object code that the
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+
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+
+  4. Combined Works.
+
+  You may convey a Combined Work under terms of your choice that,
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+
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+   be required to provide such information under section 6 of the
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+   Information in the manner specified by section 6 of the GNU GPL
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+  5. Combined Libraries.
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+
+   a) Accompany the combined library with a copy of the same work based
+   on the Library, uncombined with any other library facilities,
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+
+   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
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+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
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+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 +1,61 @@
+import time
+
+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.version_inputs import CreateVersionInput
+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,
+    version_message: str | None,
+    model_id: str,
+    client: SpeckleClient,
+) -> Version:
+    start = time.time()
+    very_start = start
+
+    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]
+
+    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()
+
+    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()
+
+    create_version = CreateVersionInput(
+        object_id=root_id,
+        model_id=model_id,
+        project_id=project.id,
+        message=version_message,
+        source_application="ifc",
+    )
+    version = client.version.create(create_version)
+    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)
+
+    return version

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/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
+            )

src/specklepy/__init__.py

@@ -0,0 +1,3 @@
+#  from specklepy import objects
+
+# __all__ = ["objects"]

src/specklepy/api/client.py

@@ -0,0 +1,161 @@
+import contextlib
+
+from specklepy.api.credentials import Account
+from specklepy.api.resources import (
+    ActiveUserResource,
+    FileImportResource,
+    ModelResource,
+    OtherUserResource,
+    ProjectInviteResource,
+    ProjectResource,
+    ServerResource,
+    SubscriptionResource,
+    VersionResource,
+    WorkspaceResource,
+)
+from specklepy.core.api.client import SpeckleClient as CoreSpeckleClient
+from specklepy.logging import metrics
+
+
+class SpeckleClient(CoreSpeckleClient):
+    """
+    The `SpeckleClient` is your entry point for interacting with
+    your Speckle Server's GraphQL API.
+    You'll need to have access to a server to use it,
+    or you can use our public server `app.speckle.systems`.
+
+    To authenticate the client, you'll need to have downloaded
+    the [Speckle Manager](https://speckle.guide/#speckle-manager)
+    and added your account.
+
+    ```py
+    from specklepy.api.client import SpeckleClient
+    from specklepy.core.api.inputs.project_inputs import ProjectCreateInput
+    from specklepy.api.credentials import get_default_account
+
+    # initialise the client
+    client = SpeckleClient(host="app.speckle.systems") # or whatever your host is
+    # client = SpeckleClient(host="localhost:3000", use_ssl=False) or use local server
+
+    # authenticate the client with an account
+    # (account has been added in Speckle Manager)
+    account = get_default_account()
+    client.authenticate_with_account(account)
+
+    # create a new project
+    input = ProjectCreateInput(name="a shiny new project")
+    project = self.project.create(input)
+
+    # or, use a project id to get an existing project from the server
+    new_stream = client.project.get("abcdefghij")
+    ```
+    """
+
+    DEFAULT_HOST = "app.speckle.systems"
+    USE_SSL = True
+
+    def __init__(
+        self,
+        host: str = DEFAULT_HOST,
+        use_ssl: bool = USE_SSL,
+        verify_certificate: bool = True,
+    ) -> None:
+        super().__init__(
+            host=host,
+            use_ssl=use_ssl,
+            verify_certificate=verify_certificate,
+        )
+        self.account = Account()
+
+    def _init_resources(self) -> None:
+        self.server = ServerResource(
+            account=self.account, basepath=self.url, client=self.httpclient
+        )
+
+        server_version = None
+
+        with contextlib.suppress(Exception):
+            server_version = self.server.version()
+
+        self.other_user = OtherUserResource(
+            account=self.account,
+            basepath=self.url,
+            client=self.httpclient,
+            server_version=server_version,
+        )
+        self.active_user = ActiveUserResource(
+            account=self.account,
+            basepath=self.url,
+            client=self.httpclient,
+            server_version=server_version,
+        )
+        self.project = ProjectResource(
+            account=self.account,
+            basepath=self.url,
+            client=self.httpclient,
+            server_version=server_version,
+        )
+        self.project_invite = ProjectInviteResource(
+            account=self.account,
+            basepath=self.url,
+            client=self.httpclient,
+            server_version=server_version,
+        )
+        self.model = ModelResource(
+            account=self.account,
+            basepath=self.url,
+            client=self.httpclient,
+            server_version=server_version,
+        )
+        self.version = VersionResource(
+            account=self.account,
+            basepath=self.url,
+            client=self.httpclient,
+            server_version=server_version,
+        )
+        self.workspace = WorkspaceResource(
+            account=self.account,
+            basepath=self.url,
+            client=self.httpclient,
+            server_version=server_version,
+        )
+        self.file_import = FileImportResource(
+            account=self.account,
+            basepath=self.url,
+            client=self.httpclient,
+            server_version=server_version,
+        )
+        self.subscription = SubscriptionResource(
+            account=self.account,
+            basepath=self.ws_url,
+            client=self.wsclient,
+            # todo: why doesn't this take a server version
+        )
+
+    def authenticate_with_token(self, token: str) -> None:
+        """
+        Authenticate the client using a personal access token.
+        The token is saved in the client object and a synchronous GraphQL
+        entrypoint is created
+
+        Arguments:
+            token {str} -- an api token
+        """
+        metrics.track(
+            metrics.SDK, self.account, {"name": "Client Authenticate With Token"}
+        )
+        return super().authenticate_with_token(token)
+
+    def authenticate_with_account(self, account: Account) -> None:
+        """Authenticate the client using an Account object
+        The account is saved in the client object and a synchronous GraphQL
+        entrypoint is created
+
+        Arguments:
+            account {Account} -- the account object which can be found with
+            `get_default_account` or `get_local_accounts`
+        """
+        metrics.track(
+            metrics.SDK, self.account, {"name": "Client Authenticate With Account"}
+        )
+        return super().authenticate_with_account(account)

src/specklepy/api/credentials.py

@@ -0,0 +1,74 @@
+# following imports seem to be unnecessary, but they need to stay
+# to not break the scripts using these functions as non-core
+from specklepy.core.api.credentials import (  # noqa: F401
+    Account,
+    StreamWrapper,  # noqa: F401
+    UserInfo,
+)
+from specklepy.core.api.credentials import (
+    get_account_from_token as core_get_account_from_token,
+)
+from specklepy.core.api.credentials import get_local_accounts as core_get_local_accounts
+from specklepy.logging import metrics
+
+
+def get_local_accounts(base_path: str | None = None) -> list[Account]:
+    """Gets all the accounts present in this environment
+
+    Arguments:
+        base_path {str} -- custom base path if you are not using the system default
+
+    Returns:
+        List[Account] -- list of all local accounts or an empty list if
+        no accounts were found
+    """
+    accounts = core_get_local_accounts(base_path)
+
+    metrics.track(
+        metrics.SDK,
+        next(
+            (acc for acc in accounts if acc.isDefault),
+            accounts[0] if accounts else None,
+        ),
+        {"name": "Get Local Accounts"},
+    )
+
+    return accounts
+
+
+def get_default_account(base_path: str | None = None) -> Account | None:
+    """
+    Gets this environment's default account if any. If there is no default,
+    the first found will be returned and set as default.
+    Arguments:
+        base_path {str} -- custom base path if you are not using the system default
+
+    Returns:
+        Account -- the default account or None if no local accounts were found
+    """
+    accounts = core_get_local_accounts(base_path=base_path)
+    if not accounts:
+        return None
+
+    default = next((acc for acc in accounts if acc.isDefault), None)
+    if not default:
+        default = accounts[0]
+        default.isDefault = True
+    metrics.initialise_tracker(default)
+
+    return default
+
+
+def get_account_from_token(token: str, server_url: str | None = None) -> Account:
+    """Gets the local account for the token if it exists
+    Arguments:
+        token {str} -- the api token
+
+    Returns:
+        Account -- the local account with this token or a shell account containing
+        just the token and url if no local account is found
+    """
+    account = core_get_account_from_token(token, server_url)
+
+    metrics.track(metrics.SDK, account, {"name": "Get Account From Token"})
+    return account

src/specklepy/api/host_applications.py

@@ -0,0 +1,74 @@
+from specklepy.core.api.host_applications import (
+    ARCGIS,
+    ARCHICAD,
+    AUTOCAD,
+    BLENDER,
+    CIVIL,
+    CSIBRIDGE,
+    DXF,
+    DYNAMO,
+    ETABS,
+    EXCEL,
+    GRASSHOPPER,
+    GSA,
+    MICROSTATION,
+    NET,
+    OPENBUILDINGS,
+    OPENRAIL,
+    OPENROADS,
+    OTHER,
+    POWERBI,
+    PYTHON,
+    QGIS,
+    REVIT,
+    RHINO,
+    SAFE,
+    SAP2000,
+    SKETCHUP,
+    TEKLASTRUCTURES,
+    TOPSOLID,
+    UNITY,
+    UNREAL,
+    HostApplication,
+    HostAppVersion,
+    _app_name_host_app_mapping,
+    get_host_app_from_string,
+)
+
+# re-exporting stuff from the moved api module
+__all__ = [
+    "ARCGIS",
+    "ARCHICAD",
+    "AUTOCAD",
+    "BLENDER",
+    "CIVIL",
+    "CSIBRIDGE",
+    "DXF",
+    "DYNAMO",
+    "ETABS",
+    "EXCEL",
+    "GRASSHOPPER",
+    "GSA",
+    "MICROSTATION",
+    "NET",
+    "OPENBUILDINGS",
+    "OPENRAIL",
+    "OPENROADS",
+    "OTHER",
+    "POWERBI",
+    "PYTHON",
+    "QGIS",
+    "REVIT",
+    "RHINO",
+    "SAFE",
+    "SAP2000",
+    "SKETCHUP",
+    "TEKLASTRUCTURES",
+    "TOPSOLID",
+    "UNITY",
+    "UNREAL",
+    "HostApplication",
+    "HostAppVersion",
+    "_app_name_host_app_mapping",
+    "get_host_app_from_string",
+]

src/specklepy/api/models/__init__.py

@@ -0,0 +1,15 @@
+# following imports seem to be unnecessary, but they need to stay
+# to not break the scripts using these functions as non-core
+from specklepy.core.api.models import (
+    LimitedUser,
+    PendingStreamCollaborator,
+    ServerInfo,
+    User,
+)
+
+__all__ = [
+    "LimitedUser",
+    "PendingStreamCollaborator",
+    "ServerInfo",
+    "User",
+]

src/specklepy/api/operations.py

@@ -0,0 +1,101 @@
+from typing import List, Optional
+
+from specklepy.core.api.operations import deserialize as core_deserialize
+from specklepy.core.api.operations import receive as _untracked_receive
+from specklepy.core.api.operations import send as core_send
+from specklepy.core.api.operations import serialize as core_serialize
+from specklepy.logging import metrics
+from specklepy.objects.base import Base
+from specklepy.transports.abstract_transport import AbstractTransport
+
+
+def send(
+    base: Base,
+    transports: Optional[List[AbstractTransport]] = None,
+    use_default_cache: bool = True,
+):
+    """Sends an object via the provided transports. Defaults to the local cache.
+
+    Arguments:
+        obj {Base} -- the object you want to send
+        transports {list} -- where you want to send them
+        use_default_cache {bool} -- toggle for the default cache.
+        If set to false, it will only send to the provided transports
+
+    Returns:
+        str -- the object id of the sent object
+    """
+    if transports is None:
+        metrics.track(metrics.SEND)
+    else:
+        metrics.track(metrics.SEND, getattr(transports[0], "account", None))
+
+    return core_send(base, transports, use_default_cache)
+
+
+def receive(
+    obj_id: str,
+    remote_transport: Optional[AbstractTransport] = None,
+    local_transport: Optional[AbstractTransport] = None,
+) -> Base:
+    """Receives an object from a transport.
+
+    Arguments:
+        obj_id {str} -- the id of the object to receive
+        remote_transport {Transport} -- the transport to receive from
+        local_transport {Transport} -- the local cache to check for existing objects
+                                       (defaults to `SQLiteTransport`)
+
+    Returns:
+        Base -- the base object
+    """
+    metrics.track(metrics.RECEIVE, getattr(remote_transport, "account", None))
+    return _untracked_receive(obj_id, remote_transport, local_transport)
+
+
+def serialize(
+    base: Base, write_transports: List[AbstractTransport] | None = None
+) -> str:
+    """
+    Serialize a base object. If no write transports are provided,
+    the object will be serialized
+    without detaching or chunking any of the attributes.
+
+    Arguments:
+        base {Base} -- the object to serialize
+        write_transports {List[AbstractTransport]}
+        -- optional: the transports to write to
+
+    Returns:
+        str -- the serialized object
+    """
+    if not write_transports:
+        write_transports = []
+    metrics.track(metrics.SDK, custom_props={"name": "Serialize"})
+    return core_serialize(base, write_transports)
+
+
+def deserialize(
+    obj_string: str, read_transport: Optional[AbstractTransport] = None
+) -> Base:
+    """
+    Deserialize a string object into a Base object.
+
+    If the object contains referenced child objects that are not stored in the local db,
+    a read transport needs to be provided in order to recompose
+    the base with the children objects.
+
+    Arguments:
+        obj_string {str} -- the string object to deserialize
+        read_transport {AbstractTransport}
+            -- the transport to fetch children objects from
+                (defaults to SQLiteTransport)
+
+    Returns:
+        Base -- the deserialized object
+    """
+    metrics.track(metrics.SDK, custom_props={"name": "Deserialize"})
+    return core_deserialize(obj_string, read_transport)
+
+
+__all__ = ["receive", "send", "serialize", "deserialize"]

src/specklepy/api/resource.py

@@ -0,0 +1,24 @@
+from typing import Any, Optional, Tuple
+
+from gql.client import Client
+
+from specklepy.api.credentials import Account
+from specklepy.core.api.resource import ResourceBase as CoreResourceBase
+
+
+class ResourceBase(CoreResourceBase):
+    def __init__(
+        self,
+        account: Account,
+        basepath: str,
+        client: Client,
+        name: str,
+        server_version: Optional[Tuple[Any, ...]] = None,
+    ) -> None:
+        super().__init__(
+            account=account,
+            basepath=basepath,
+            client=client,
+            name=name,
+            server_version=server_version,
+        )

src/specklepy/api/resources/__init__.py

@@ -0,0 +1,25 @@
+from specklepy.api.resources.current.active_user_resource import ActiveUserResource
+from specklepy.api.resources.current.file_import_resource import FileImportResource
+from specklepy.api.resources.current.model_resource import ModelResource
+from specklepy.api.resources.current.other_user_resource import OtherUserResource
+from specklepy.api.resources.current.project_invite_resource import (
+    ProjectInviteResource,
+)
+from specklepy.api.resources.current.project_resource import ProjectResource
+from specklepy.api.resources.current.server_resource import ServerResource
+from specklepy.api.resources.current.subscription_resource import SubscriptionResource
+from specklepy.api.resources.current.version_resource import VersionResource
+from specklepy.api.resources.current.workspace_resource import WorkspaceResource
+
+__all__ = [
+    "FileImportResource",
+    "ActiveUserResource",
+    "ModelResource",
+    "OtherUserResource",
+    "ProjectInviteResource",
+    "ProjectResource",
+    "ServerResource",
+    "SubscriptionResource",
+    "VersionResource",
+    "WorkspaceResource",
+]

src/specklepy/api/resources/current/active_user_resource.py

@@ -0,0 +1,102 @@
+from typing import List, Optional
+
+from specklepy.core.api.inputs.user_inputs import (
+    UserProjectsFilter,
+    UserUpdateInput,
+    UserWorkspacesFilter,
+)
+from specklepy.core.api.models import (
+    PendingStreamCollaborator,
+    Project,
+    ResourceCollection,
+    User,
+)
+from specklepy.core.api.models.current import (
+    LimitedWorkspace,
+    PermissionCheckResult,
+    ProjectWithPermissions,
+    Workspace,
+)
+from specklepy.core.api.resources import ActiveUserResource as CoreResource
+from specklepy.logging import metrics
+
+
+class ActiveUserResource(CoreResource):
+    """API Access class for users. This class provides methods to get and update
+    the user profile, fetch user activity, and manage pending stream invitations."""
+
+    def __init__(self, account, basepath, client, server_version) -> None:
+        super().__init__(
+            account=account,
+            basepath=basepath,
+            client=client,
+            server_version=server_version,
+        )
+        self.schema = User
+
+    def get(self) -> Optional[User]:
+        metrics.track(metrics.SDK, self.account, {"name": "Active User Get"})
+        return super().get()
+
+    def update(
+        self,
+        input: UserUpdateInput,
+    ) -> User:
+        metrics.track(metrics.SDK, self.account, {"name": "Active User Update"})
+
+        return super().update(input=input)
+
+    def get_projects(
+        self,
+        *,
+        limit: int = 25,
+        cursor: Optional[str] = None,
+        filter: Optional[UserProjectsFilter] = None,
+    ) -> ResourceCollection[Project]:
+        metrics.track(metrics.SDK, self.account, {"name": "Active User Get Projects"})
+        return super().get_projects(limit=limit, cursor=cursor, filter=filter)
+
+    def get_projects_with_permissions(
+        self,
+        *,
+        limit: int = 25,
+        cursor: Optional[str] = None,
+        filter: Optional[UserProjectsFilter] = None,
+    ) -> ResourceCollection[ProjectWithPermissions]:
+        metrics.track(
+            metrics.SDK,
+            self.account,
+            {"name": "Active User Get Projects With Permissions"},
+        )
+        return super().get_projects_with_permissions(
+            limit=limit, cursor=cursor, filter=filter
+        )
+
+    def get_project_invites(self) -> List[PendingStreamCollaborator]:
+        metrics.track(
+            metrics.SDK, self.account, {"name": "Active User Get Project Invites"}
+        )
+        return super().get_project_invites()
+
+    def can_create_personal_projects(self) -> PermissionCheckResult:
+        metrics.track(
+            metrics.SDK,
+            self.account,
+            {"name": "Active User Can Create Personal Projects Check"},
+        )
+        return super().can_create_personal_projects()
+
+    def get_workspaces(
+        self,
+        limit: int = 25,
+        cursor: Optional[str] = None,
+        filter: Optional[UserWorkspacesFilter] = None,
+    ) -> ResourceCollection[Workspace]:
+        metrics.track(metrics.SDK, self.account, {"name": "Active User Get Workspaces"})
+        return super().get_workspaces(limit, cursor, filter)
+
+    def get_active_workspace(self) -> Optional[LimitedWorkspace]:
+        metrics.track(
+            metrics.SDK, self.account, {"name": "Active User Get Active Workspace"}
+        )
+        return super().get_active_workspace()

src/specklepy/api/resources/current/file_import_resource.py

@@ -0,0 +1,87 @@
+from pathlib import Path
+
+from typing_extensions import override
+
+from specklepy.core.api.inputs import (
+    FinishFileImportInput,
+    GenerateFileUploadUrlInput,
+    StartFileImportInput,
+)
+from specklepy.core.api.models import FileImport, FileUploadUrl
+from specklepy.core.api.models.current import ResourceCollection
+from specklepy.core.api.resources import FileImportResource as CoreResource
+from specklepy.core.api.resources.current.file_import_resource import UploadFileResponse
+from specklepy.logging import metrics
+
+
+class FileImportResource(CoreResource):
+    """API Access class for projects"""
+
+    def __init__(self, account, basepath, client, server_version) -> None:
+        super().__init__(
+            account=account,
+            basepath=basepath,
+            client=client,
+            server_version=server_version,
+        )
+
+    @override
+    def start_file_import(self, input: StartFileImportInput) -> FileImport:
+        metrics.track(metrics.SDK, self.account, {"name": "File Import Start"})
+        return super().start_file_import(input)
+
+    @override
+    def generate_upload_url(self, input: GenerateFileUploadUrlInput) -> FileUploadUrl:
+        """
+        Get a file upload url from the Speckle server.
+
+        This method asks the server to create a pre-signed S3 url,
+        which can be used as a short term authenticated route,
+        to put a file to the server.
+        """
+        metrics.track(
+            metrics.SDK, self.account, {"name": "File Import Generate Upload Url"}
+        )
+        return super().generate_upload_url(input)
+
+    @override
+    def upload_file(self, file: Path, url: str) -> UploadFileResponse:
+        """
+        Uploads a file to the given S3 url.
+
+        This method should be used together with the generate_upload_url method,
+        which generates a pre-signed S3 url, that can be used to upload the file to.
+        """
+        metrics.track(metrics.SDK, self.account, {"name": "File Import Upload File"})
+        return super().upload_file(file, url)
+
+    @override
+    def download_file(self, project_id: str, file_id: str, target_file: Path) -> Path:
+        """Download a file blob attached to the project, to the target path."""
+        metrics.track(metrics.SDK, self.account, {"name": "File Import Download File"})
+        return super().download_file(project_id, file_id, target_file)
+
+    @override
+    def finish_file_import_job(self, input: FinishFileImportInput) -> bool:
+        """
+        This is mostly an internal api, that marks a file import job finished.
+
+        Only use this if you are writing a file importer, that is responsible for
+        processing file import jobs.
+        """
+        metrics.track(metrics.SDK, self.account, {"name": "File Import Finish Job"})
+        return super().finish_file_import_job(input)
+
+    @override
+    def get_model_file_import_jobs(
+        self,
+        *,
+        project_id: str,
+        model_id: str,
+        limit: int = 25,
+        cursor: str | None = None,
+    ) -> ResourceCollection[FileImport]:
+        metrics.track(metrics.SDK, self.account, {"name": "File Import Get Model Jobs"})
+        return super().get_model_file_import_jobs(
+            project_id=project_id, model_id=model_id, limit=limit, cursor=cursor
+        )

src/specklepy/api/resources/current/model_resource.py

@@ -0,0 +1,74 @@
+from typing import Optional
+
+from specklepy.core.api.inputs.model_inputs import (
+    CreateModelInput,
+    DeleteModelInput,
+    ModelVersionsFilter,
+    UpdateModelInput,
+)
+from specklepy.core.api.inputs.project_inputs import ProjectModelsFilter
+from specklepy.core.api.models import Model, ModelWithVersions, ResourceCollection
+from specklepy.core.api.resources import ModelResource as CoreResource
+from specklepy.logging import metrics
+
+
+class ModelResource(CoreResource):
+    """API Access class for models"""
+
+    def __init__(self, account, basepath, client, server_version) -> None:
+        super().__init__(
+            account=account,
+            basepath=basepath,
+            client=client,
+            server_version=server_version,
+        )
+
+    def get(self, model_id: str, project_id: str) -> Model:
+        metrics.track(metrics.SDK, self.account, {"name": "Model Get"})
+        return super().get(model_id, project_id)
+
+    def get_with_versions(
+        self,
+        model_id: str,
+        project_id: str,
+        *,
+        versions_limit: int = 25,
+        versions_cursor: Optional[str] = None,
+        versions_filter: Optional[ModelVersionsFilter] = None,
+    ) -> ModelWithVersions:
+        metrics.track(metrics.SDK, self.account, {"name": "Model Get With Versions"})
+        return super().get_with_versions(
+            model_id,
+            project_id,
+            versions_limit=versions_limit,
+            versions_cursor=versions_cursor,
+            versions_filter=versions_filter,
+        )
+
+    def get_models(
+        self,
+        project_id: str,
+        *,
+        models_limit: int = 25,
+        models_cursor: Optional[str] = None,
+        models_filter: Optional[ProjectModelsFilter] = None,
+    ) -> ResourceCollection[Model]:
+        metrics.track(metrics.SDK, self.account, {"name": "Model Get Models"})
+        return super().get_models(
+            project_id,
+            models_limit=models_limit,
+            models_cursor=models_cursor,
+            models_filter=models_filter,
+        )
+
+    def create(self, input: CreateModelInput) -> Model:
+        metrics.track(metrics.SDK, self.account, {"name": "Model Create"})
+        return super().create(input)
+
+    def delete(self, input: DeleteModelInput) -> bool:
+        metrics.track(metrics.SDK, self.account, {"name": "Model Delete"})
+        return super().delete(input)
+
+    def update(self, input: UpdateModelInput) -> Model:
+        metrics.track(metrics.SDK, self.account, {"name": "Model Update"})
+        return super().update(input)

src/specklepy/api/resources/current/other_user_resource.py

@@ -0,0 +1,45 @@
+from typing import Optional
+
+from specklepy.core.api.models import (
+    LimitedUser,
+    UserSearchResultCollection,
+)
+from specklepy.core.api.resources import OtherUserResource as CoreResource
+from specklepy.logging import metrics
+
+
+class OtherUserResource(CoreResource):
+    """
+    Provides API access to other users' profiles and activities on the platform.
+    This class enables fetching limited information about users,
+    searching for users by name or email,
+    and accessing user activity logs with appropriate privacy
+    and access control measures in place.
+    """
+
+    def __init__(self, account, basepath, client, server_version) -> None:
+        super().__init__(
+            account=account,
+            basepath=basepath,
+            client=client,
+            server_version=(server_version,),
+        )
+        self.schema = LimitedUser
+
+    def get(self, id: str) -> Optional[LimitedUser]:
+        metrics.track(metrics.SDK, self.account, {"name": "Other User Get"})
+        return super().get(id)
+
+    def user_search(
+        self,
+        query: str,
+        *,
+        limit: int = 25,
+        cursor: Optional[str] = None,
+        archived: bool = False,
+        emailOnly: bool = False,
+    ) -> UserSearchResultCollection:
+        metrics.track(metrics.SDK, self.account, {"name": "Other User Search"})
+        return super().user_search(
+            query, limit=limit, cursor=cursor, archived=archived, emailOnly=emailOnly
+        )

src/specklepy/api/resources/current/project_invite_resource.py

@@ -0,0 +1,54 @@
+from typing import Any, Optional, Tuple
+
+from gql import Client
+
+from specklepy.core.api.credentials import Account
+from specklepy.core.api.inputs.project_inputs import (
+    ProjectInviteCreateInput,
+    ProjectInviteUseInput,
+)
+from specklepy.core.api.models import PendingStreamCollaborator, ProjectWithTeam
+from specklepy.core.api.resources import ProjectInviteResource as CoreResource
+from specklepy.logging import metrics
+
+
+class ProjectInviteResource(CoreResource):
+    """API Access class for project invites"""
+
+    def __init__(
+        self,
+        account: Account,
+        basepath: str,
+        client: Client,
+        server_version: Optional[Tuple[Any, ...]],
+    ) -> None:
+        super().__init__(
+            account=account,
+            basepath=basepath,
+            client=client,
+            server_version=server_version,
+        )
+
+    def create(
+        self, project_id: str, input: ProjectInviteCreateInput
+    ) -> ProjectWithTeam:
+        metrics.track(metrics.SDK, self.account, {"name": "Project Invite Create"})
+        return super().create(project_id, input)
+
+    def use(self, input: ProjectInviteUseInput) -> bool:
+        metrics.track(metrics.SDK, self.account, {"name": "Project Invite Use"})
+        return super().use(input)
+
+    def get(
+        self, project_id: str, token: Optional[str]
+    ) -> Optional[PendingStreamCollaborator]:
+        metrics.track(metrics.SDK, self.account, {"name": "Project Invite Get"})
+        return super().get(project_id, token)
+
+    def cancel(
+        self,
+        project_id: str,
+        invite_id: str,
+    ) -> ProjectWithTeam:
+        metrics.track(metrics.SDK, self.account, {"name": "Project Invite Cancel"})
+        return super().cancel(project_id, invite_id)

src/specklepy/api/resources/current/project_resource.py

@@ -0,0 +1,79 @@
+from typing import Optional
+
+from specklepy.core.api.inputs.project_inputs import (
+    ProjectCreateInput,
+    ProjectModelsFilter,
+    ProjectUpdateInput,
+    ProjectUpdateRoleInput,
+    WorkspaceProjectCreateInput,
+)
+from specklepy.core.api.models import (
+    Project,
+    ProjectWithModels,
+    ProjectWithTeam,
+)
+from specklepy.core.api.models.current import ProjectPermissionChecks
+from specklepy.core.api.resources import ProjectResource as CoreResource
+from specklepy.logging import metrics
+
+
+class ProjectResource(CoreResource):
+    """API Access class for projects"""
+
+    def __init__(self, account, basepath, client, server_version) -> None:
+        super().__init__(
+            account=account,
+            basepath=basepath,
+            client=client,
+            server_version=server_version,
+        )
+
+    def get(self, project_id: str) -> Project:
+        metrics.track(metrics.SDK, self.account, {"name": "Project Get "})
+        return super().get(project_id)
+
+    def get_permissions(self, project_id: str) -> ProjectPermissionChecks:
+        metrics.track(
+            metrics.SDK, self.account, {"name": "Project Project Permissions "}
+        )
+        return super().get_permissions(project_id)
+
+    def get_with_models(
+        self,
+        project_id: str,
+        *,
+        models_limit: int = 25,
+        models_cursor: Optional[str] = None,
+        models_filter: Optional[ProjectModelsFilter] = None,
+    ) -> ProjectWithModels:
+        metrics.track(metrics.SDK, self.account, {"name": "Project Get With Models"})
+        return super().get_with_models(
+            project_id,
+            models_limit=models_limit,
+            models_cursor=models_cursor,
+            models_filter=models_filter,
+        )
+
+    def get_with_team(self, project_id: str) -> ProjectWithTeam:
+        metrics.track(metrics.SDK, self.account, {"name": "Project Get With Team"})
+        return super().get_with_team(project_id)
+
+    def create(self, input: ProjectCreateInput) -> Project:
+        metrics.track(metrics.SDK, self.account, {"name": "Project Create"})
+        return super().create(input)
+
+    def create_in_workspace(self, input: WorkspaceProjectCreateInput) -> Project:
+        metrics.track(metrics.SDK, self.account, {"name": "Workspace Project Create"})
+        return super().create_in_workspace(input)
+
+    def update(self, input: ProjectUpdateInput) -> Project:
+        metrics.track(metrics.SDK, self.account, {"name": "Project Update"})
+        return super().update(input)
+
+    def delete(self, project_id: str) -> bool:
+        metrics.track(metrics.SDK, self.account, {"name": "Project Delete"})
+        return super().delete(project_id)
+
+    def update_role(self, input: ProjectUpdateRoleInput) -> ProjectWithTeam:
+        metrics.track(metrics.SDK, self.account, {"name": "Project Update Role"})
+        return super().update_role(input)

src/specklepy/api/resources/current/server_resource.py

@@ -0,0 +1,71 @@
+from typing import Any, Dict, List, Tuple
+
+from specklepy.api.models import ServerInfo
+from specklepy.core.api.resources import ServerResource as CoreResource
+from specklepy.logging import metrics
+
+
+class ServerResource(CoreResource):
+    """API Access class for the server"""
+
+    def __init__(self, account, basepath, client) -> None:
+        super().__init__(
+            account=account,
+            basepath=basepath,
+            client=client,
+        )
+
+    def get(self) -> ServerInfo:
+        """Get the server info
+
+        Returns:
+            dict -- the server info in dictionary form
+        """
+        metrics.track(metrics.SDK, self.account, {"name": "Server Get"})
+        return super().get()
+
+    def version(self) -> Tuple[Any, ...]:
+        """Get the server version
+
+        Returns:
+            the server version in the format (major, minor, patch, (tag, build))
+            eg (2, 6, 3) for a stable build and (2, 6, 4, 'alpha', 4711) for alpha
+        """
+        # not tracking as it will be called along with other
+        # mutations / queries as a check
+        return super().version()
+
+    def apps(self) -> Dict:
+        """Get the apps registered on the server
+
+        Returns:
+            dict -- a dictionary of apps registered on the server
+        """
+        metrics.track(metrics.SDK, self.account, {"name": "Server Apps"})
+        return super().apps()
+
+    def create_token(self, name: str, scopes: List[str], lifespan: int) -> str:
+        """Create a personal API token
+
+        Arguments:
+            scopes {List[str]} -- the scopes to grant with this token
+            name {str} -- a name for your new token
+            lifespan {int} -- duration before the token expires
+
+        Returns:
+            str -- the new API token. note: this is the only time you'll see the token!
+        """
+        metrics.track(metrics.SDK, self.account, {"name": "Server Create Token"})
+        return super().create_token(name, scopes, lifespan)
+
+    def revoke_token(self, token: str) -> bool:
+        """Revokes (deletes) a personal API token
+
+        Arguments:
+            token {str} -- the token to revoke (delete)
+
+        Returns:
+            bool -- True if the token was successfully deleted
+        """
+        metrics.track(metrics.SDK, self.account, {"name": "Server Revoke Token"})
+        return super().revoke_token(token)

src/specklepy/api/resources/current/subscription_resource.py

@@ -0,0 +1,64 @@
+from typing import Callable, Optional, Sequence
+
+from pydantic import BaseModel
+from typing_extensions import TypeVar
+
+from specklepy.core.api.models import (
+    ProjectModelsUpdatedMessage,
+    ProjectUpdatedMessage,
+    ProjectVersionsUpdatedMessage,
+    UserProjectsUpdatedMessage,
+)
+from specklepy.core.api.resources import SubscriptionResource as CoreResource
+from specklepy.logging import metrics
+
+TEventArgs = TypeVar("TEventArgs", bound=BaseModel)
+
+
+class SubscriptionResource(CoreResource):
+    def __init__(self, account, basepath, client) -> None:
+        super().__init__(
+            account=account,
+            basepath=basepath,
+            client=client,
+        )
+
+    async def user_projects_updated(
+        self, callback: Callable[[UserProjectsUpdatedMessage], None]
+    ) -> None:
+        metrics.track(
+            metrics.SDK, self.account, {"name": "Subscription Project Models Updated"}
+        )
+        return await super().user_projects_updated(callback)
+
+    async def project_models_updated(
+        self,
+        callback: Callable[[ProjectModelsUpdatedMessage], None],
+        id: str,
+        *,
+        model_ids: Optional[Sequence[str]] = None,
+    ) -> None:
+        metrics.track(
+            metrics.SDK, self.account, {"name": "Subscription Project Models Updated"}
+        )
+        return await super().project_models_updated(callback, id, model_ids=model_ids)
+
+    async def project_updated(
+        self,
+        callback: Callable[[ProjectUpdatedMessage], None],
+        id: str,
+    ) -> None:
+        metrics.track(
+            metrics.SDK, self.account, {"name": "Subscription Project Updated"}
+        )
+        return await super().project_updated(callback, id)
+
+    async def project_versions_updated(
+        self,
+        callback: Callable[[ProjectVersionsUpdatedMessage], None],
+        id: str,
+    ) -> None:
+        metrics.track(
+            metrics.SDK, self.account, {"name": "Subscription Project Versions Updated"}
+        )
+        return await super().project_versions_updated(callback, id)

src/specklepy/api/resources/current/version_resource.py

@@ -0,0 +1,63 @@
+from typing import Optional
+
+from specklepy.core.api.inputs.model_inputs import ModelVersionsFilter
+from specklepy.core.api.inputs.version_inputs import (
+    CreateVersionInput,
+    DeleteVersionsInput,
+    MarkReceivedVersionInput,
+    MoveVersionsInput,
+    UpdateVersionInput,
+)
+from specklepy.core.api.models import ResourceCollection, Version
+from specklepy.core.api.resources import VersionResource as CoreResource
+from specklepy.logging import metrics
+
+
+class VersionResource(CoreResource):
+    """API Access class for model versions"""
+
+    def __init__(self, account, basepath, client, server_version) -> None:
+        super().__init__(
+            account=account,
+            basepath=basepath,
+            client=client,
+            server_version=server_version,
+        )
+
+    def get(self, version_id: str, project_id: str) -> Version:
+        metrics.track(metrics.SDK, self.account, {"name": "Version Get"})
+        return super().get(version_id, project_id)
+
+    def get_versions(
+        self,
+        model_id: str,
+        project_id: str,
+        *,
+        limit: int = 25,
+        cursor: Optional[str] = None,
+        filter: Optional[ModelVersionsFilter] = None,
+    ) -> ResourceCollection[Version]:
+        metrics.track(metrics.SDK, self.account, {"name": "Version Get Versions"})
+        return super().get_versions(
+            model_id, project_id, limit=limit, cursor=cursor, filter=filter
+        )
+
+    def create(self, input: CreateVersionInput) -> Version:
+        metrics.track(metrics.SDK, self.account, {"name": "Version Create"})
+        return super().create(input)
+
+    def update(self, input: UpdateVersionInput) -> Version:
+        metrics.track(metrics.SDK, self.account, {"name": "Version Update"})
+        return super().update(input)
+
+    def move_to_model(self, input: MoveVersionsInput) -> str:
+        metrics.track(metrics.SDK, self.account, {"name": "Version Move To Model"})
+        return super().move_to_model(input)
+
+    def delete(self, input: DeleteVersionsInput) -> bool:
+        metrics.track(metrics.SDK, self.account, {"name": "Version Delete"})
+        return super().delete(input)
+
+    def received(self, input: MarkReceivedVersionInput) -> bool:
+        metrics.track(metrics.SDK, self.account, {"name": "Version Received"})
+        return super().received(input)

src/specklepy/api/resources/current/workspace_resource.py

@@ -0,0 +1,53 @@
+from typing import Optional
+
+from specklepy.core.api.inputs.project_inputs import WorksaceProjectsFilter
+from specklepy.core.api.models.current import (
+    Project,
+    ProjectWithPermissions,
+    ResourceCollection,
+    Workspace,
+)
+from specklepy.core.api.resources import WorkspaceResource as CoreResource
+from specklepy.logging import metrics
+
+
+class WorkspaceResource(CoreResource):
+    """API Access class for workspace"""
+
+    def __init__(self, account, basepath, client, server_version) -> None:
+        super().__init__(
+            account=account,
+            basepath=basepath,
+            client=client,
+            server_version=server_version,
+        )
+
+    def get(self, workspace_id: str) -> Workspace:
+        metrics.track(metrics.SDK, self.account, {"name": "Workspace Get"})
+        return super().get(workspace_id)
+
+    def get_projects(
+        self,
+        workspace_id: str,
+        limit: int = 25,
+        cursor: Optional[str] = None,
+        filter: Optional[WorksaceProjectsFilter] = None,
+    ) -> ResourceCollection[Project]:
+        metrics.track(metrics.SDK, self.account, {"name": "Workspace Get Projects"})
+        return super().get_projects(workspace_id, limit, cursor, filter)
+
+    def get_projects_with_permissions(
+        self,
+        workspace_id: str,
+        limit: int = 25,
+        cursor: Optional[str] = None,
+        filter: Optional[WorksaceProjectsFilter] = None,
+    ) -> ResourceCollection[ProjectWithPermissions]:
+        metrics.track(
+            metrics.SDK,
+            self.account,
+            {"name": "Workspace Get Projects With Permissions"},
+        )
+        return super().get_projects_with_permissions(
+            workspace_id, limit, cursor, filter
+        )

src/specklepy/api/wrapper.py

@@ -0,0 +1,88 @@
+from specklepy.api.client import SpeckleClient
+from specklepy.api.credentials import Account
+from specklepy.core.api.wrapper import StreamWrapper as CoreStreamWrapper
+from specklepy.logging import metrics
+from specklepy.transports.server.server import ServerTransport
+
+
+class StreamWrapper(CoreStreamWrapper):
+    """
+    The `StreamWrapper` gives you some handy helpers to deal with urls and
+    get authenticated clients and transports.
+
+    Construct a `StreamWrapper` with a URL of a model, version, or object.
+    The corresponding ids will be stored
+    in the wrapper. If you have local accounts on the machine,
+    you can use the `get_account` and `get_client` methods
+    to get a local account for the server. You can also pass a token into `get_client`
+    if you don't have a corresponding
+    local account for the server.
+
+    ```py
+    from specklepy.api.wrapper import StreamWrapper
+
+    # provide a url for a model, version, or object
+    wrapper = StreamWrapper("https://app.speckle.systems/projects/3073b96e86/models/0fe47c9dca@604bea8cc6")
+
+    # get an authenticated SpeckleClient if you have a local account for the server
+    client = wrapper.get_client()
+
+    # get an authenticated ServerTransport if you have a local account for the server
+    transport = wrapper.get_transport()
+    ```
+    """
+
+    stream_url: str = None
+    use_ssl: bool = True
+    host: str = None
+    stream_id: str = None
+    commit_id: str = None
+    object_id: str = None
+    branch_name: str = None
+    _client: SpeckleClient = None
+    _account: Account = None
+
+    def __init__(self, url: str) -> None:
+        super().__init__(url=url)
+
+    def get_account(self, token: str = None) -> Account:
+        """
+        Gets an account object for this server from the local accounts db
+        (added via Speckle Manager or a json file)
+        """
+        metrics.track(metrics.SDK, custom_props={"name": "Stream Wrapper Get Account"})
+        return super().get_account(token)
+
+    def get_client(self, token: str = None) -> SpeckleClient:
+        """
+        Gets an authenticated client for this server.
+        You may provide a token if there aren't any local accounts on this
+        machine. If no account is found and no token is provided,
+        an unauthenticated client is returned.
+
+        Arguments:
+            token {str}
+            -- optional token if no local account is available (defaults to None)
+
+        Returns:
+            SpeckleClient
+            -- authenticated with a corresponding local account or the provided token
+        """
+        metrics.track(metrics.SDK, custom_props={"name": "Stream Wrapper Get Client"})
+        return super().get_client(token)
+
+    def get_transport(self, token: str = None) -> ServerTransport:
+        """
+        Gets a server transport for this stream using an authenticated client.
+        If there is no local account for this
+        server and the client was not authenticated with a token,
+        this will throw an exception.
+
+        Returns:
+            ServerTransport -- constructed for this stream
+            with a pre-authenticated client
+        """
+        metrics.track(
+            metrics.SDK, custom_props={"name": "Stream Wrapper Get Transport"}
+        )
+        return super().get_transport(token)

src/specklepy/core/__init__.py

@@ -0,0 +1,6 @@
+"""
+This is the Core SDK module of `specklepy`.
+
+This module should be kept in sync with the functionalities of our other SDKs especially
+C# Core https://github.com/specklesystems/speckle-sharp/tree/main/Core/Core
+"""

src/specklepy/core/api/client.py

@@ -0,0 +1,257 @@
+import contextlib
+import re
+from typing import Dict
+from warnings import warn
+
+from gql import Client
+from gql.transport.exceptions import TransportServerError
+from gql.transport.requests import RequestsHTTPTransport
+from gql.transport.websockets import WebsocketsTransport
+
+from specklepy.core.api.credentials import Account
+from specklepy.core.api.resources import (
+    ActiveUserResource,
+    FileImportResource,
+    ModelResource,
+    OtherUserResource,
+    ProjectInviteResource,
+    ProjectResource,
+    ServerResource,
+    SubscriptionResource,
+    VersionResource,
+    WorkspaceResource,
+)
+from specklepy.logging import metrics
+from specklepy.logging.exceptions import SpeckleException, SpeckleWarning
+
+
+class SpeckleClient:
+    """
+    The `SpeckleClient` is your entry point for interacting with
+    your Speckle Server's GraphQL API.
+    You'll need to have access to a server to use it,
+    or you can use our public server `app.speckle.systems`.
+
+    To authenticate the client, you'll need to have downloaded
+    the [Speckle Manager](https://speckle.guide/#speckle-manager)
+    and added your account.
+
+    ```py
+    from specklepy.api.client import SpeckleClient
+    from specklepy.core.api.inputs.project_inputs import ProjectCreateInput
+    from specklepy.api.credentials import get_default_account
+
+    # initialise the client
+    client = SpeckleClient(host="app.speckle.systems") # or whatever your host is
+    # client = SpeckleClient(host="localhost:3000", use_ssl=False) or use local server
+
+    # authenticate the client with an account
+    # (account has been added in Speckle Manager)
+    account = get_default_account()
+    client.authenticate_with_account(account)
+
+    # create a new project
+    input = ProjectCreateInput(name="a shiny new project")
+    project = self.project.create(input)
+
+    # or, use a project id to get an existing project from the server
+    new_stream = client.project.get("abcdefghij")
+    ```
+    """
+
+    DEFAULT_HOST = "app.speckle.systems"
+    USE_SSL = True
+
+    def __init__(
+        self,
+        host: str = DEFAULT_HOST,
+        use_ssl: bool = USE_SSL,
+        verify_certificate: bool = True,
+        connection_retries: int = 3,
+        connection_timeout: int = 10,
+    ) -> None:
+        ws_protocol = "ws"
+        http_protocol = "http"
+
+        if use_ssl:
+            ws_protocol = "wss"
+            http_protocol = "https"
+
+        # sanitise host input by removing protocol and trailing slash
+        host = re.sub(r"((^\w+:|^)\/\/)|(\/$)", "", host)
+
+        self.url = f"{http_protocol}://{host}"
+        self.graphql = f"{self.url}/graphql"
+        self.ws_url = f"{ws_protocol}://{host}/graphql"
+        self.account = Account()
+        self.verify_certificate = verify_certificate
+        self.connection_retries = connection_retries
+        self.connection_timeout = connection_timeout
+
+        self.httpclient = Client(
+            transport=RequestsHTTPTransport(
+                url=self.graphql,
+                verify=self.verify_certificate,
+                retries=self.connection_retries,
+                timeout=self.connection_timeout,
+            )
+        )
+        self.wsclient = None
+
+        self._init_resources()
+
+        # ? Check compatibility with the server
+        # - i think we can skip this at this point? save a request
+        # try:
+        #     server_info = self.server.get()
+        #     if isinstance(server_info, Exception):
+        #         raise server_info
+        #     if not isinstance(server_info, ServerInfo):
+        #         raise Exception("Couldn't get ServerInfo")
+        # except Exception as ex:
+        #     raise SpeckleException(
+        #         f"{self.url} is not a compatible Speckle Server", ex
+        #     ) from ex
+
+    def __repr__(self):
+        return (
+            f"SpeckleClient( server: {self.url}, authenticated:"
+            f" {self.account.token is not None} )"
+        )
+
+    def authenticate_with_token(self, token: str) -> None:
+        """
+        Authenticate the client using a personal access token.
+        The token is saved in the client object and a synchronous GraphQL
+        entrypoint is created
+
+        Arguments:
+            token {str} -- an api token
+        """
+        self.account = Account.from_token(token, self.url)
+        self._set_up_client()
+
+        userData = self.active_user.get()
+
+        # None if the token lacked the profile:read scope or if it was None
+        if userData:
+            self.account.userInfo.id = userData.id
+            self.account.userInfo.email = userData.email
+            self.account.userInfo.name = userData.name
+            self.account.userInfo.company = userData.company
+            self.account.userInfo.avatar = userData.avatar
+
+        self.account.serverInfo = self.server.get()
+        self.account.serverInfo.url = self.url
+
+    def authenticate_with_account(self, account: Account) -> None:
+        """Authenticate the client using an Account object
+        The account is saved in the client object and a synchronous GraphQL
+        entrypoint is created
+
+        Arguments:
+            account {Account} -- the account object which can be found with
+            `get_default_account` or `get_local_accounts`
+        """
+        self.account = account
+        self._set_up_client()
+
+        try:
+            _ = self.active_user.get()
+        except SpeckleException as ex:
+            if isinstance(ex.exception, TransportServerError):
+                if ex.exception.code == 403:
+                    warn(
+                        SpeckleWarning(
+                            "Possibly invalid token - could not authenticate "
+                            f"Speckle Client for server {self.url}"
+                        ),
+                        stacklevel=2,
+                    )
+                else:
+                    raise ex
+
+    def _set_up_client(self) -> None:
+        headers = {
+            "Authorization": f"Bearer {self.account.token}",
+            "Content-Type": "application/json",
+            "apollographql-client-name": metrics.HOST_APP,
+            "apollographql-client-version": metrics.HOST_APP_VERSION,
+        }
+        httptransport = RequestsHTTPTransport(
+            url=self.graphql, headers=headers, verify=self.verify_certificate, retries=3
+        )
+        wstransport = WebsocketsTransport(
+            url=self.ws_url,
+            init_payload={"Authorization": f"Bearer {self.account.token}"},
+        )
+        self.httpclient = Client(transport=httptransport)
+        self.wsclient = Client(transport=wstransport)
+
+        self._init_resources()
+
+    def execute_query(self, query: str) -> Dict:
+        return self.httpclient.execute(query)
+
+    def _init_resources(self) -> None:
+        self.server = ServerResource(
+            account=self.account, basepath=self.url, client=self.httpclient
+        )
+
+        server_version = None
+        with contextlib.suppress(Exception):
+            server_version = self.server.version()
+
+        self.other_user = OtherUserResource(
+            account=self.account,
+            basepath=self.url,
+            client=self.httpclient,
+            server_version=server_version,
+        )
+        self.active_user = ActiveUserResource(
+            account=self.account,
+            basepath=self.url,
+            client=self.httpclient,
+            server_version=server_version,
+        )
+        self.project = ProjectResource(
+            account=self.account,
+            basepath=self.url,
+            client=self.httpclient,
+            server_version=server_version,
+        )
+        self.project_invite = ProjectInviteResource(
+            account=self.account,
+            basepath=self.url,
+            client=self.httpclient,
+            server_version=server_version,
+        )
+        self.model = ModelResource(
+            account=self.account,
+            basepath=self.url,
+            client=self.httpclient,
+            server_version=server_version,
+        )
+        self.version = VersionResource(
+            account=self.account,
+            basepath=self.url,
+            client=self.httpclient,
+            server_version=server_version,
+        )
+        self.workspace = WorkspaceResource(
+            account=self.account,
+            basepath=self.url,
+            client=self.httpclient,
+            server_version=server_version,
+        )
+        self.file_import = FileImportResource(
+            account=self.account,
+            basepath=self.url,
+            client=self.httpclient,
+            server_version=server_version,
+        )
+        self.subscription = SubscriptionResource(
+            account=self.account,
+            basepath=self.ws_url,
+            client=self.wsclient,
+        )

src/specklepy/core/api/connector_versions.py

@@ -0,0 +1,70 @@
+from datetime import datetime
+from typing import List
+
+import httpx
+from pydantic import AliasGenerator, BaseModel, ConfigDict, HttpUrl
+from pydantic.alias_generators import to_pascal
+
+
+class ConnectorFeedBaseModel(BaseModel):
+    """
+    Parent class for all Connector Feed Object Model classes
+    Sets-up a pydantic config to serialize properties using a pascal case alias
+    """
+
+    model_config = ConfigDict(
+        alias_generator=AliasGenerator(
+            validation_alias=to_pascal,
+        ),
+        populate_by_name=True,
+    )
+
+
+class ConnectorVersion(ConnectorFeedBaseModel):
+    number: str
+    url: HttpUrl
+    os: int  # this is an enum, it's properly defined in the old v2 SDK (used by Speckle.Manager.Feed)  # noqa: E501
+    architecture: int  # These are enums, they are properly defined in the old v2 SDK (used by Speckle.Manager.Feed) # noqa: E501
+    date: datetime
+    prerelease: bool
+
+
+class ConnectorVersions(ConnectorFeedBaseModel):
+    versions: List[ConnectorVersion]
+
+
+def get_latest_version(host_app_slug: str, allow_pre_release: bool) -> ConnectorVersion:
+    """
+    Fetches the JSON feed for the given connector slug and
+    Returns the latest version by date - Note, it does not consider semvers!
+
+    Arguments:
+        host_app_slug {str} -- the host app slug to query for
+        allow_pre_release {bool} -- if false, only stable releases will be considered
+    Raises:
+        HTTPStatusError: if http request failed
+        ValidationError: response was not valid json
+        ValueError: The feed contained no connector versions
+    """
+    connector_versions = get_connector_versions(host_app_slug).versions
+    filtered_versions = [
+        v for v in connector_versions if allow_pre_release or not v.prerelease
+    ]
+
+    return max(filtered_versions, key=lambda x: x.date)
+
+
+def get_connector_versions(host_app_slug: str) -> ConnectorVersions:
+    """
+    Fetches the JSON feed for the given slug (v3 feeds only)
+    Raises:
+        HTTPStatusError: if http request failed
+        ValidationError: response was not valid json
+    """
+    url = f"https://releases.speckle.dev/manager2/feeds/{host_app_slug.lower()}-v3.json"
+
+    res = httpx.get(url).raise_for_status()
+
+    feed_data = ConnectorVersions.model_validate_json(res.text)
+
+    return feed_data

src/specklepy/core/api/credentials.py

@@ -0,0 +1,177 @@
+import os
+from pathlib import Path
+from typing import List
+from urllib.parse import urlparse
+
+from pydantic import BaseModel, Field  # pylint: disable=no-name-in-module
+
+from specklepy.core.api.models import ServerInfo
+from specklepy.core.helpers import speckle_path_provider
+from specklepy.logging.exceptions import SpeckleException
+from specklepy.transports.sqlite import SQLiteTransport
+
+
+class UserInfo(BaseModel):
+    id: str | None = None
+    name: str | None = None
+    email: str | None = None
+    company: str | None = None
+    avatar: str | None = None
+
+
+class Account(BaseModel):
+    isDefault: bool = False
+    token: str | None = None
+    refreshToken: str | None = None
+    serverInfo: ServerInfo = Field(default_factory=ServerInfo)
+    userInfo: UserInfo = Field(default_factory=UserInfo)
+    id: str | None = None
+
+    def __repr__(self) -> str:
+        return (
+            f"Account(email: {self.userInfo.email}, server: {self.serverInfo.url},"
+            f" isDefault: {self.isDefault})"
+        )
+
+    def __str__(self) -> str:
+        return self.__repr__()
+
+    @classmethod
+    def from_token(cls, token: str, server_url: str | None = None):
+        acct = cls(token=token)
+        acct.serverInfo.url = server_url
+        return acct
+
+
+def get_local_accounts(base_path: str | None = None) -> List[Account]:
+    """Gets all the accounts present in this environment
+
+    Arguments:
+        base_path {str} -- custom base path if you are not using the system default
+
+    Returns:
+        List[Account] -- list of all local accounts or an empty list if
+        no accounts were found
+    """
+    accounts: List[Account] = []
+    try:
+        account_storage = SQLiteTransport(scope="Accounts", base_path=base_path)
+        res = account_storage.get_all_objects()
+        account_storage.close()
+        if res:
+            accounts.extend(Account.model_validate_json(r[1]) for r in res)
+    except SpeckleException:
+        # cannot open SQLiteTransport, probably because of the lack
+        # of disk write permissions
+        pass
+
+    json_acct_files = []
+    json_path = str(speckle_path_provider.accounts_folder_path())
+    try:
+        os.makedirs(json_path, exist_ok=True)
+        json_acct_files.extend(
+            file for file in os.listdir(json_path) if file.endswith(".json")
+        )
+
+    except Exception:
+        # cannot find or get the json account paths
+        pass
+
+    if json_acct_files:
+        try:
+            accounts.extend(
+                Account.model_validate_json(Path(json_path, json_file).read_text())
+                # Account.parse_file(os.path.join(json_path, json_file))
+                for json_file in json_acct_files
+            )
+        except Exception as ex:
+            raise SpeckleException(
+                "Invalid json accounts could not be read. Please fix or remove them.",
+                ex,
+            ) from ex
+
+    return accounts
+
+
+def get_default_account(base_path: str | None = None) -> Account | None:
+    """
+    Gets this environment's default account if any. If there is no default,
+    the first found will be returned and set as default.
+    Arguments:
+        base_path {str} -- custom base path if you are not using the system default
+
+    Returns:
+        Account -- the default account or None if no local accounts were found
+    """
+    accounts = get_local_accounts(base_path=base_path)
+    if not accounts:
+        return None
+
+    default = next((acc for acc in accounts if acc.isDefault), None)
+    if not default:
+        default = accounts[0]
+        default.isDefault = True
+    # metrics.initialise_tracker(default)
+
+    return default
+
+
+def get_account_from_token(token: str, server_url: str | None = None) -> Account:
+    """Gets the local account for the token if it exists
+    Arguments:
+        token {str} -- the api token
+
+    Returns:
+        Account -- the local account with this token or a shell account containing
+        just the token and url if no local account is found
+    """
+    accounts = get_local_accounts()
+    if not accounts:
+        return Account.from_token(token, server_url)
+
+    acct = next((acc for acc in accounts if acc.token == token), None)
+    if acct:
+        return acct
+
+    if server_url:
+        url = server_url.lower()
+        acct = next(
+            (acc for acc in accounts if url in acc.serverInfo.url.lower()), None
+        )
+        if acct:
+            return acct
+
+    return Account.from_token(token, server_url)
+
+
+def get_accounts_for_server(host: str) -> List[Account]:
+    all_accounts = get_local_accounts()
+    filtered: List[Account] = []
+
+    for acc in all_accounts:
+        moved_from = (
+            acc.serverInfo.migration.moved_from if acc.serverInfo.migration else None
+        )
+
+        if moved_from and host == urlparse(moved_from).netloc:
+            filtered.append(acc)
+
+    for acc in all_accounts:
+        if any([x for x in filtered if x.userInfo.id == acc.userInfo.id]):
+            continue
+
+        if host == urlparse(acc.serverInfo.url).netloc:
+            filtered.append(acc)
+
+    return filtered
+
+
+class StreamWrapper:
+    def __init__(self, url: str = None) -> None:
+        raise SpeckleException(
+            message=(
+                "The StreamWrapper has moved as of v2.6.0! Please import from"
+                " specklepy.api.wrapper"
+            ),
+            exception=DeprecationWarning(),
+        )

src/specklepy/core/api/enums.py

@@ -0,0 +1,32 @@
+from enum import Enum
+
+
+class ProjectVisibility(str, Enum):
+    """Supported project visibility types"""
+
+    PRIVATE = "PRIVATE"
+    PUBLIC = "PUBLIC"
+    UNLISTED = "UNLISTED"
+    WORKSPACE = "WORKSPACE"
+
+
+class UserProjectsUpdatedMessageType(str, Enum):
+    ADDED = "ADDED"
+    REMOVED = "REMOVED"
+
+
+class ProjectModelsUpdatedMessageType(str, Enum):
+    CREATED = "CREATED"
+    DELETED = "DELETED"
+    UPDATED = "UPDATED"
+
+
+class ProjectUpdatedMessageType(str, Enum):
+    DELETED = "DELETED"
+    UPDATED = "UPDATED"
+
+
+class ProjectVersionsUpdatedMessageType(str, Enum):
+    CREATED = "CREATED"
+    DELETED = "DELETED"
+    UPDATED = "UPDATED"