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2 Commits

Author SHA1 Message Date
izzy lyseggen 840424b488 feat(schemas): DRAFT upload generated schemas
there is loads of repetition since a whole class and it's references
are defined in the same file. need to figure out a way to get them to
generate with references. just uploading this for now so it is visible
for ppl to check out
2020-11-24 16:58:25 +00:00
izzy lyseggen dba362c230 feat(schemas): add generated classes from Objects
just geometry classes for now

TODO: consolidation after generating the classes.
this is the raw generation which creates duplicates as it defines all
required classes in the same file
2020-11-18 11:59:55 +00:00
198 changed files with 3931 additions and 17291 deletions
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@@ -1,108 +0,0 @@
version: 2.1
orbs:
codecov: codecov/codecov@3.3.0
jobs:
pre-commit:
parameters:
config_file:
default: ./.pre-commit-config.yaml
description: Optional, path to pre-commit config file.
type: string
cache_prefix:
default: ''
description: |
Optional cache prefix to be used on CircleCI. Can be used for cache busting or to ensure multiple jobs use different caches.
type: string
docker:
- image: speckle/pre-commit-runner:latest
resource_class: medium
steps:
- checkout
- restore_cache:
keys:
- cache-pre-commit-<<parameters.cache_prefix>>-{{ checksum "<<parameters.config_file>>" }}
- run:
name: Install pre-commit hooks
command: pre-commit install-hooks --config <<parameters.config_file>>
- save_cache:
key: cache-pre-commit-<<parameters.cache_prefix>>-{{ checksum "<<parameters.config_file>>" }}
paths:
- ~/.cache/pre-commit
- run:
name: Run pre-commit
command: pre-commit run --all-files
- run:
command: git --no-pager diff
name: git diff
when: on_fail
test:
machine:
image: ubuntu-2204:2023.02.1
docker_layer_caching: false
resource_class: medium
parameters:
tag:
default: "3.11"
type: string
steps:
- checkout
- run:
name: Install python
command: |
pyenv install -s << parameters.tag >>
pyenv global << parameters.tag >>
- run:
name: Startup the Speckle Server
command: docker compose -f docker-compose.yml up -d
- run:
name: Install Poetry
command: |
pip install poetry
- run:
name: Install packages
command: poetry install
- run:
name: Run tests
command: poetry run pytest --cov --cov-report xml:reports/coverage.xml --junitxml=reports/test-results.xml
- store_test_results:
path: reports
- store_artifacts:
path: reports
- codecov/upload
deploy:
docker:
- image: "cimg/python:3.8"
steps:
- checkout
- run: python patch_version.py $CIRCLE_TAG
- run: poetry build
- run: poetry publish -u __token__ -p $PYPI_TOKEN
workflows:
main:
jobs:
- pre-commit:
filters:
tags:
only: /.*/
- test:
matrix:
parameters:
tag: ["3.11"]
filters:
tags:
only: /.*/
- deploy:
context: pypi
requires:
- pre-commit
- test
filters:
tags:
only: /[0-9]+(\.[0-9]+)*/
branches:
ignore: /.*/ # For testing only! /ci\/.*/
-27
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@@ -1,27 +0,0 @@
# See here for image contents: https://github.com/microsoft/vscode-dev-containers/blob/main/containers/python-3/.devcontainer/base.Dockerfile
# [Choice] Python version: 3, 3.9, 3.8, 3.7, 3.6
ARG VARIANT="3.10"
FROM mcr.microsoft.com/vscode/devcontainers/python:${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 ${NODE_VERSION} 2>&1"; fi
# [Optional] If your pip requirements rarely change, uncomment this section to add them to the image.
# COPY requirements.txt /tmp/pip-tmp/
# RUN pip3 --disable-pip-version-check --no-cache-dir install -r /tmp/pip-tmp/requirements.txt \
# && rm -rf /tmp/pip-tmp
# [Optional] Uncomment this section to install additional OS packages.
# RUN apt-get update && export DEBIAN_FRONTEND=noninteractive \
# && apt-get -y install --no-install-recommends <your-package-list-here>
# [Optional] Uncomment this line to install global node packages.
# RUN su vscode -c "source /usr/local/share/nvm/nvm.sh && npm install -g <your-package-here>" 2>&1
USER vscode
RUN curl -sSL https://install.python-poetry.org | python3 -
ENV PATH=$PATH:$HOME/.poetry/env
-55
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@@ -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"
}
-44
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@@ -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:
-3
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@@ -1,3 +0,0 @@
* text=auto eol=lf
*.{cmd,[cC][mM][dD]} text eol=crlf
*.{bat,[bB][aA][tT]} text eol=crlf
+11 -12
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@@ -1,5 +1,4 @@
# Speckle Contribution Guidelines
## Introduction
Thank you for reading this! Speckle's a rather wide network of parts that depend on each other, either directly, indirectly or even just cosmetically.
@@ -10,41 +9,41 @@ This means that what might look like a simple quick change in one repo may have
## Bugs & Issues 🐞
### Found a new bug?
### Found a new bug?
- First step is to check whether this is a new bug! We encourage you to search through the issues of the project in question **and** associated repos!
- If you come up with nothing, **open a new issue with a clear title and description**, as much relevant information as possible: system configuration, code samples & steps to reproduce the problem.
- If you come up with nothing, **open a new issue with a clear title and description**, as much relevant information as possible: system configuration, code samples & steps to reproduce the problem.
- Can't mention this often enough: tells us how to reproduce the problem! We will ignore or flag as such issues without reproduction steps.
- Can't mention this often enough: tells us how to reproduce the problem! We will ignore or flag as such issues without reproduction steps.
- Try to reference & note all potentially affected projects.
### Sending a PR for Bug Fixes
You fixed something! Great! We hope you logged it first :) Make sure though that you've covered the lateral thinking needed for a bug report, as described above, also in your implementation! If there any tests, make sure they all pass. If there are none, it means they're missing - so add them!
You fixed something! Great! We hope you logged it first :) Make sure though that you've covered the lateral thinking needed for a bug report, as described above, also in your implementation! If there any tests, make sure they all pass. If there are none, it means they're missing - so add them!
## New Features 🎉
The golden rule is to Discuss First!
- Before embarking on adding a new feature, suggest it first as an issue with the `enhancement` label and/or title - this will allow relevant people to pitch in
- We'll now discuss your requirements and see how and if they fit within the Speckle ecosystem.
- The last step is to actually start writing code & submit a PR so we can follow along!
- All new features should, if and where possible, come with tests. We won't merge without!
- We'll now discuss your requirements and see how and if they fit within the Speckle ecosystem.
- The last step is to actually start writing code & submit a PR so we can follow along!
- All new features should, if and where possible, come with tests. We won't merge without!
> Many clients may potentially have overlapping scopes, some features might already be in dev somewhere else, or might have been postponed to the next major release due to api instability in that area. For example, adding a delete stream button in the accounts panel in rhino: this feature was planned for speckle admin, and the whole functionality of the accounts panel in rhino is to be greatly reduced!
## Cosmetic Patches ✨
Changes that are cosmetic in nature and do not add anything substantial to the stability or functionality of Speckle **will generally not be accepted**.
Changes that are cosmetic in nature and do not add anything substantial to the stability or functionality of Speckle **will generally not be accepted**.
Why? However trivial the changes might seem, there might be subtle reasons for the original code to be as it is. Furthermore, there are a lot of potential hidden costs (that even maintainers themselves are not aware of fully!) and they eat up review time unncessarily.
> **Examples**: modifying the colour of an UI element in one client may have a big hidden cost and need propagation in several other clients that implement a similar ui element. Changing the default port or specifiying `localhost` instead of `0.0.0.0` breaks cross-vm debugging and developing.
> **Examples**: modifying the colour of an UI element in one client may have a big hidden cost and need propagation in several other clients that implement a similar ui element. Changing the default port or specifiying `localhost` instead of `0.0.0.0` breaks cross-vm debugging and developing.
## Wrap up
Don't worry if you get things wrong. We all do, including project owners: this document should've been here a long time ago. There's plenty of room for discussion on our community [forum](https://discourse.speckle.works).
Don't worry if you get things wrong. We all do, including project owners: this document should've been here a long time ago. There's plenty of room for discussion either on our community [forum](https://discourse.speckle.works) or [chat](https://speckle-works.slack.com/join/shared_invite/enQtNjY5Mzk2NTYxNTA4LTU4MWI5ZjdhMjFmMTIxZDIzOTAzMzRmMTZhY2QxMmM1ZjVmNzJmZGMzMDVlZmJjYWQxYWU0MWJkYmY3N2JjNGI).
🙌❤️💙💚💜🙌
+25
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@@ -0,0 +1,25 @@
---
name: New issue
about: Create a report to help us improve
title:
labels:
assignees:
---
If it's your first time here - or you forgot about them - make sure you read the [contribution guidelines](CONTRIBUTING.md), and then feel free to delete this line!
### Expected vs. Actual Behavior
Describe the problem here.
### Reproduction Steps & System Config (win, osx, web, etc.)
Let us know how we can reproduce this, and attach relevant files (if any).
### Proposed Solution (if any)
Let us know what how you would solve this.
#### Optional: Affected Projects
Does this issue propagate to other dependencies or dependents? If so, list them here!
-113
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@@ -1,113 +0,0 @@
---
name: Bug report
about: Help improve Speckle!
title: ''
labels: bug
assignees: ''
---
<!---
Provide a short summary in the Title above. Examples of good Issue titles:
* "Bug: Error from server when reticulating splines"
* "Bug: Revit crashes when installing connector"
-->
## Prerequisites
<!---
Please answer the following questions before submitting an issue.
-->
- [ ] I read the [contribution guidelines](https://github.com/specklesystems/speckle-server/blob/main/CONTRIBUTING.md)
- [ ] I checked the [documentation](https://speckle.guide/) and found no answer.
- [ ] I checked [existing issues](../issues?q=is%3Aissue) and found no similar issue. <!-- If you do find an existing issue, please show your support by liking it :+1: instead of creating a new issue -->
- [ ] I checked the [community forum](https://speckle.community/) for related discussions and found no answer.
- [ ] I'm reporting the issue to the correct repository (see also [speckle-server](https://github.com/specklesystems/speckle-server), [speckle-sharp](https://github.com/specklesystems/speckle-sharp), [specklepy](https://github.com/specklesystems/specklepy), [speckle-docs](https://github.com/specklesystems/speckle-docs), and [others](https://github.com/orgs/specklesystems/repositories))
## What package are you referring to?
<!---
Is it related to the server (backend) only, or does this bug relate to the frontend, viewer, objectloader or any other package?
-->
## Describe the bug
<!---
A clear and concise description of what the bug is.
-->
## To Reproduce
<!---
Steps to reproduce the behavior:
1. Go to '...'
2. Click on '....'
3. Scroll down to '....'
4. See error
-->
## Expected behavior
<!---
A clear and concise description of what you expected to happen.
-->
## Screenshots
<!---
If applicable, add screenshots to help explain your problem.
-->
## System Info
If applicable, please fill in the below details - they help a lot!
### Desktop (please complete the following information):
- OS: [e.g. iOS]
- Browser [e.g. chrome, safari]
- Version [e.g. 22]
### Smartphone (please complete the following information):
- Device: [e.g. iPhone6]
- OS: [e.g. iOS8.1]
- Browser [e.g. stock browser, safari]
- Version [e.g. 22]
## Failure Logs
<!---
Please include any relevant log snippets or files here, or upload as a file.
If including inline, please use markdown code block syntax. https://docs.github.com/en/get-started/writing-on-github/working-with-advanced-formatting/creating-and-highlighting-code-blocks
For example:
```
your log output here
```
-->
## Additional context
<!---
Add any other context about the problem here.
-->
## Proposed Solution (if any)
<!---
Let us know what how you would solve this.
-->
#### Optional: Affected Projects
<!---
Does this issue propagate to other dependencies or dependents? If so, list them here with links!
-->
-71
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@@ -1,71 +0,0 @@
---
name: Feature request
about: Suggest an idea for Speckle!
title: ''
labels: enhancement, question
assignees: ''
---
<!---
Provide a short summary in the Title above. Examples of good Issue titles:
* "Enhancement: Connector for Minecraft"
* "Enhancement: Web viewer should support tesseracts"
-->
## Prerequisites
<!---
Please answer the following questions before submitting an issue.
-->
- [ ] I read the [contribution guidelines](https://github.com/specklesystems/speckle-server/blob/main/CONTRIBUTING.md)
- [ ] I checked the [documentation](https://speckle.guide/) and found no answer.
- [ ] I checked [existing issues](../issues?q=is%3Aissue) and found no similar issue. <!-- If you do find an existing issue, please show your support by liking it :+1: instead of creating a new issue -->
- [ ] I checked the [community forum](https://speckle.community/) for related discussions and found no answer.
- [ ] I'm requesting the feature to the correct repository (see also [speckle-server](https://github.com/specklesystems/speckle-server), [speckle-sharp](https://github.com/specklesystems/speckle-sharp), [specklepy](https://github.com/specklesystems/specklepy), [speckle-docs](https://github.com/specklesystems/speckle-docs), and [others](https://github.com/orgs/specklesystems/repositories))
## What package are you referring to?
<!---
Is it related to the server (backend) only, or does this feature request relate to the frontend, viewer, objectloader or any other package?
-->
## Is your feature request related to a problem? Please describe.
<!---
A clear and concise description of what the problem is. Ex. I'm always frustrated when [...]
-->
## Describe the solution you'd like
<!---
A clear and concise description of what you want to happen.
-->
## Describe alternatives you've considered
<!---
A clear and concise description of any alternative solutions or features you've considered.
-->
## Additional context
<!---
Add any other context or screenshots about the feature request here.
Have you seen this feature implemented in any other software? Can you provide screenshots or links to video or documentation?
What works well about these existing features in other software? What doesn't work well?
-->
## Related issues or community discussions
<!---
Is this feature request related to (but sufficiently distinct from) any existing issues?
Does this feature request require other features to be available beforehand?
Has this feature been discussed in the community forum, please link here? https://speckle.community/
-->
@@ -0,0 +1,25 @@
Description of PR...
## Changes
- Item 1
- Item 2
## Checklist
- [ ] Unit tests
- [ ] Documentation
## References
(optional)
Include **important** links regarding the implementation of this PR.
This usually includes and RFC or an aggregation of issues and/or individual conversations
that helped put this solution together. This helps ensure there is a good aggregation
of resources regarding the implementation.
```text
Fixes #85, Fixes #22, Fixes username/repo#123
Connects #123
```
-102
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@@ -1,102 +0,0 @@
<!---
Provide a short summary in the Title above. Examples of good PR titles:
* "Feature: adds metrics to component"
* "Fix: resolves duplication in comment thread"
* "Update: apollo v2.34.0"
-->
## Description & motivation
<!---
Describe your changes, and why you're making them. What benefit will this have to others?
Is this linked to an open Github issue, a thread in Speckle community,
or another pull request? Link it here.
If it is related to a Github issue, and resolves it, please link to the issue number, e.g.:
Fixes #85, Fixes #22, Fixes username/repo#123
Connects #123
-->
## Changes:
<!---
- Item 1
- Item 2
-->
## To-do before merge:
<!---
(Optional -- remove this section if not needed)
Include any notes about things that need to happen before this PR is merged, e.g.:
- [ ] Change the base branch
- [ ] Ensure PR #56 is merged
-->
## Screenshots:
<!---
Include a screenshot the before and after. This can be a screenshot of a plugin, web frontend, or output in a terminal.
-->
## Validation of changes:
<!---
Describe what tests have been added or amended, and why these demonstrate it works and will prevent this feature being accidentally broken by future changes.
-->
## Checklist:
<!---
This checklist is mostly useful as a reminder of small things that can easily be
forgotten it is meant as a helpful tool rather than hoops to jump through.
Put an `x` between the square brackets, e.g. [x], for all the items that apply,
make notes next to any that haven't been addressed, and remove any items that are not relevant to this PR.
-->
- [ ] My pull request follows the guidelines in the [Contributing guide](https://github.com/specklesystems/speckle-server/blob/main/CONTRIBUTING.md)?
- [ ] My pull request does not duplicate any other open [Pull Requests](../../pulls) for the same update/change?
- [ ] My commits are related to the pull request and do not amend unrelated code or documentation.
- [ ] My code follows a similar style to existing code.
- [ ] I have added appropriate tests.
- [ ] I have updated or added relevant documentation.
## References
<!---
(Optional -- remove this section if not needed )
Include **important** links regarding the implementation of this PR.
This usually includes a RFC or an aggregation of issues and/or individual conversations
that helped put this solution together. This helps ensure we retain and share knowledge
regarding the implementation, and may help others understand motivation and design decisions etc..
-->
+1 -5
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@@ -1,7 +1,3 @@
.tool-versions
.envrc
reports/
# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
@@ -112,4 +108,4 @@ venv.bak/
# other
scratch.py
settings.json
settings.json
-33
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@@ -1,33 +0,0 @@
repos:
- repo: https://github.com/charliermarsh/ruff-pre-commit
hooks:
- id: ruff
rev: v0.1.6
- repo: https://github.com/commitizen-tools/commitizen
hooks:
- id: commitizen
- id: commitizen-branch
stages:
- push
rev: v3.13.0
- repo: https://github.com/pycqa/isort
rev: 5.12.0
hooks:
- id: isort
- repo: https://github.com/psf/black
rev: 23.11.0
hooks:
- id: black
# It is recommended to specify the latest version of Python
# supported by your project here, or alternatively use
# pre-commit's default_language_version, see
# https://pre-commit.com/#top_level-default_language_version
# language_version: python3.11
- repo: https://github.com/pre-commit/pre-commit-hooks
rev: v4.5.0
hooks:
- id: end-of-file-fixer
- id: trailing-whitespace
+1 -12
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@@ -4,8 +4,6 @@
// For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387
"version": "0.2.0",
"configurations": [
{
"name": "Python: Current File",
"type": "python",
@@ -13,15 +11,6 @@
"program": "${file}",
"console": "integratedTerminal",
"justMyCode": false
},
{
"name": "Pytest",
"type": "python",
"request": "launch",
"program": "pytest",
"args": [],
"console": "integratedTerminal",
"justMyCode": true
}
]
}
}
+17 -76
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@@ -1,94 +1,35 @@
<h1 align="center">
<img src="https://user-images.githubusercontent.com/2679513/131189167-18ea5fe1-c578-47f6-9785-3748178e4312.png" width="150px"/><br/>
Speckle | specklepy 🐍
</h1>
<h3 align="center">
The Python SDK
</h3>
<p align="center"><b>Speckle</b> is the data infrastructure for the AEC industry.</p><br/>
# speckle-py 🥧
<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>
[![Twitter Follow](https://img.shields.io/twitter/follow/SpeckleSystems?style=social)](https://twitter.com/SpeckleSystems) [![Discourse users](https://img.shields.io/discourse/users?server=https%3A%2F%2Fdiscourse.speckle.works&style=flat-square)](https://discourse.speckle.works)
[![Slack Invite](https://img.shields.io/badge/-slack-grey?style=flat-square&logo=slack)](https://speckle-works.slack.com/join/shared_invite/enQtNjY5Mzk2NTYxNTA4LTU4MWI5ZjdhMjFmMTIxZDIzOTAzMzRmMTZhY2QxMmM1ZjVmNzJmZGMzMDVlZmJjYWQxYWU0MWJkYmY3N2JjNGI) [![website](https://img.shields.io/badge/www-speckle.systems-royalblue?style=flat-square)](https://speckle.systems)
# About Speckle
## Introduction
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](https://img.shields.io/badge/https://-app.speckle.systems-0069ff?style=flat-square&logo=hackthebox&logoColor=white)](https://app.speckle.systems) ⇒ 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
# 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!
Head to the [**📚 specklepy docs**](https://speckle.guide/dev/python.html) for more information and usage examples.
> ⚠ This is the start of the Python client for Speckle 2.0. It is currently quite nebulous and may be trashed and rebuilt at any moment! It is compatible with Python 3.6+ ⚠
## Developing & Debugging
### Installation
To get started, create a virtual environment and pip install the requirements.
This project uses python-poetry for dependency management, make sure you follow the official [docs](https://python-poetry.org/docs/#installation) to get poetry.
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.
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 `$ poetry run python my_script.py`
> Alternatively you may roll your own virtual-env with either venv, virtualenv, pyenv-virtualenv etc. Poetry will play along an recognize if it is invoked from inside a virtual environment.
### 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`
on windows:
```
python -m venv venv
venv\Scripts\activate
pip install -r requirements.txt
```
## Contributing
Please make sure you read the [contribution guidelines](.github/CONTRIBUTING.md) and [code of conduct](.github/CODE_OF_CONDUCT.md) for an overview of the practices we try to follow.
Please make sure you read the [contribution guidelines](.github/CONTRIBUTING.md) for an overview of the best practices we try to follow.
## Community
The Speckle Community hangs out on [the forum](https://discourse.speckle.works), do join and introduce yourself & feel free to ask us questions!
The Speckle Community hangs out in two main places, usually:
## Security
- on [the forum](https://discourse.speckle.works)
- on [the chat](https://speckle-works.slack.com/join/shared_invite/enQtNjY5Mzk2NTYxNTA4LTU4MWI5ZjdhMjFmMTIxZDIzOTAzMzRmMTZhY2QxMmM1ZjVmNzJmZGMzMDVlZmJjYWQxYWU0MWJkYmY3N2JjNGI)
For any security vulnerabilities or concerns, please contact us directly at security[at]speckle.systems.
Do join and introduce yourself!
## License
-12
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# Security Policy
## Supported Versions
| Version | Supported |
| ------- | ------------------ |
| 2.2.+ | :white_check_mark: |
| < 2.2 | :x: |
## Reporting a Vulnerability
Hi! If you've found something off, we'd be more than happy if you would report it via security@speckle.systems. We will work together with you to correctly identify the cause and implement a fix. Thanks for helping make Speckle safer!
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version: "3.9"
name: "speckle-server"
services:
####
# Speckle Server dependencies
#######
postgres:
image: "postgres:14.5-alpine"
restart: always
environment:
POSTGRES_DB: speckle
POSTGRES_USER: speckle
POSTGRES_PASSWORD: speckle
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: "redis:6.0-alpine"
restart: always
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:
- minio-data:/data
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
#######
speckle-frontend:
image: speckle/speckle-frontend:latest
restart: always
ports:
- "0.0.0.0:8080:8080"
environment:
FILE_SIZE_LIMIT_MB: 100
speckle-server:
image: speckle/speckle-server:latest
restart: always
healthcheck:
test:
[
"CMD",
"node",
"-e",
"require('node:http').request({headers: {'Content-Type': 'application/json'}, port:3000, hostname:'127.0.0.1', path:'/graphql?query={serverInfo{version}}', method: 'GET' }, (res) => { body = ''; res.on('data', (chunk) => {body += chunk;}); res.on('end', () => {process.exit(res.statusCode != 200 || body.toLowerCase().includes('error'));}); }).end();",
]
interval: 10s
timeout: 3s
retries: 30
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"
# TODO: Change thvolumes:
REDIS_URL: "redis://redis"
S3_ENDPOINT: "http://minio:9000"
S3_ACCESS_KEY: "minioadmin"
S3_SECRET_KEY: "minioadmin"
S3_BUCKET: "speckle-server"
S3_CREATE_BUCKET: "true"
FILE_SIZE_LIMIT_MB: 100
# 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"
preview-service:
image: speckle/speckle-preview-service:latest
restart: always
depends_on:
speckle-server:
condition: service_healthy
mem_limit: "1000m"
memswap_limit: "1000m"
environment:
DEBUG: "preview-service:*"
PG_CONNECTION_STRING: "postgres://speckle:speckle@postgres/speckle"
webhook-service:
image: speckle/speckle-webhook-service:latest
restart: always
depends_on:
speckle-server:
condition: service_healthy
environment:
DEBUG: "webhook-service:*"
PG_CONNECTION_STRING: "postgres://speckle:speckle@postgres/speckle"
WAIT_HOSTS: postgres:5432
fileimport-service:
image: speckle/speckle-fileimport-service:latest
restart: always
depends_on:
speckle-server:
condition: service_healthy
environment:
DEBUG: "fileimport-service:*"
PG_CONNECTION_STRING: "postgres://speckle:speckle@postgres/speckle"
WAIT_HOSTS: postgres:5432
S3_ENDPOINT: "http://minio:9000"
S3_ACCESS_KEY: "minioadmin"
S3_SECRET_KEY: "minioadmin"
S3_BUCKET: "speckle-server"
SPECKLE_SERVER_URL: "http://speckle-server:3000"
networks:
default:
name: speckle-server
volumes:
postgres-data:
redis-data:
minio-data:
-63
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@@ -1,63 +0,0 @@
import os
import random
import string
import time
from pathlib import Path
from typing import List
from specklepy.api import operations
from specklepy.objects import Base
from specklepy.transports.sqlite import SQLiteTransport
class Sub(Base):
bar: List[str]
def random_string():
letters = string.ascii_lowercase
return "".join(random.choice(letters) for _ in range(10))
BASE_PATH = SQLiteTransport.get_base_path("Speckle")
def clean_db():
os.remove(Path(BASE_PATH, "Objects.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"
foo[f"@child_{i}"] = Sub(bar=["asdf", "bar", i, stuff])
if clean:
clean_db()
transport = SQLiteTransport()
start = time.time()
hash = operations.send(base=foo, transports=[transport])
send_time = time.time() - start
receive_start = time.time()
operations.receive(hash, transport)
receive_time = time.time() - receive_start
return send_time, receive_time
if __name__ == "__main__":
sample_size = 4
test_permutations = [
(True, True),
(False, False),
(False, True),
(True, False),
]
for clean, randomize in test_permutations:
print(f"CLEAN: {clean}, RANDOMIZE: {randomize}")
for child_count in [10, 100, 1000, 10000]:
print(f"\tCHILD COUNT: {child_count}")
for _ in range(sample_size):
send_time, receive_time = one_pass(clean, randomize, child_count)
print(f"\t\tSend: {send_time} Receive: {receive_time}")
-15
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@@ -1,15 +0,0 @@
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)
-39
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@@ -1,39 +0,0 @@
import random
import string
from typing import List
from specklepy.api import operations
from specklepy.api.wrapper import StreamWrapper
from specklepy.objects import Base
class Sub(Base):
bar: List[str]
def random_string():
letters = string.ascii_lowercase
return "".join(random.choice(letters) for _ in range(10))
def create_object(child_count: int) -> Base:
foo = Base()
for i in range(child_count):
stuff = random_string()
foo[f"@child_{i}"] = Sub(bar=["asdf", "bar", i, stuff])
return foo
if __name__ == "__main__":
stream_url = "http://hyperion:3000/streams/2372b54c35"
child_count = 10
foo = create_object(child_count)
wrapper = StreamWrapper(stream_url)
transport = wrapper.get_transport()
hash = operations.send(base=foo, transports=[transport], use_default_cache=False)
rec = operations.receive(hash, transport)
print(rec)
-36
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@@ -1,36 +0,0 @@
from devtools import debug
from specklepy.api import operations
from specklepy.objects.geometry import Base
from specklepy.objects.units import Units
dct = {
"id": "1234abcd",
"units": None,
"speckle_type": "Base",
"applicationId": None,
"totalChildrenCount": 0,
}
base = Base()
for prop, value in dct.items():
base.__setattr__(prop, value)
debug(base)
debug(base.units)
base.units = "m"
debug(base.units)
base.units = None
debug(base.units)
foo = operations.serialize(base)
base.units = 10
debug(base.units)
debug(foo)
base.units = Units.mm
debug(base.units)
-60
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@@ -1,60 +0,0 @@
"""This is an example showcasing the usage of speckle `Base` class."""
# the speckle.objects module exposes all speckle provided classes
from devtools import debug
from specklepy.api import operations
from specklepy.objects import Base
class ExampleSub(Base):
"""
Inheriting from `Base` is done with in the standard way by default.
The syntax is similar to the stdlib dataclass syntax.
No __init__ method definition is required, that is done automatically by the base
type. Also the attributes defined this way are instance attributes despite they
might look like class attributes.
The speckle Base uses the pydantic BaseModel in the background, but ideally that
is not the consumers concern.
**Important note:** currently the way how serialization works, requires
each attribute to have a valid default value, just like `foo` has. This includes
default values for all primitives and complex datastructures.
Failing to provide a default, breaks the receiving end of the transport.
"""
foo: str = "bar"
class SpeckleSub(ExampleSub, speckle_type="custom_speckle_sub"):
"""
Example custom type name registration.
This is an optional feature.
The default value of the speckle_type is generated from the name of the class, but
optionally it may be overridden. This is useful, since the speckle_type has to be
unique for each subclass of speckle Base.
"""
magic: str = "trick"
if __name__ == "__main__":
# example usage
custom_sub = SpeckleSub(
foo=123,
magic="trick",
bar="baric",
extra=123,
)
# support for dynamic attributes
custom_sub.extra_extra = "what is this?"
debug(custom_sub)
serialized = operations.serialize(custom_sub)
deserialized = operations.deserialize(serialized)
# the only difference should be between the two data is that the deserialized
# instance id attribute is not None.
debug(deserialized)
-31
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@@ -1,31 +0,0 @@
import re
import sys
def patch(tag):
print(f"Patching version: {tag}")
with open("pyproject.toml", "r") as f:
lines = f.readlines()
if "version" not in lines[2]:
raise Exception("Invalid pyproject.toml. Could not patch version.")
lines[2] = f'version = "{tag}"\n'
with open("pyproject.toml", "w") as file:
file.writelines(lines)
def main():
if len(sys.argv) < 2:
return
tag = sys.argv[1]
if not re.match(r"[0-9]+(\.[0-9]+)*$", tag):
raise ValueError(f"Invalid tag provided: {tag}")
patch(tag)
if __name__ == "__main__":
main()
Generated
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-74
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@@ -1,74 +0,0 @@
[tool.poetry]
name = "specklepy"
version = "2.17.14"
description = "The Python SDK for Speckle 2.0"
readme = "README.md"
authors = ["Speckle Systems <devops@speckle.systems>"]
license = "Apache-2.0"
repository = "https://github.com/specklesystems/speckle-py"
documentation = "https://speckle.guide/dev/py-examples.html"
homepage = "https://speckle.systems/"
packages = [
{ include = "specklepy", from = "src" },
{ include = "speckle_automate", from = "src" },
]
[tool.poetry.dependencies]
python = ">=3.8.0, <4.0"
pydantic = "^2.5"
appdirs = "^1.4.4"
gql = { extras = ["requests", "websockets"], version = "^3.3.0" }
ujson = "^5.3.0"
Deprecated = "^1.2.13"
stringcase = "^1.2.0"
attrs = "^23.1.0"
httpx = "^0.25.0"
[tool.poetry.group.dev.dependencies]
black = "23.11.0"
isort = "^5.7.0"
pytest = "^7.1.3"
pytest-ordering = "^0.6"
pytest-cov = "^3.0.0"
devtools = "^0.8.0"
pylint = "^2.14.4"
pydantic-settings = "^2.3.0"
mypy = "^0.982"
pre-commit = "^2.20.0"
commitizen = "^2.38.0"
ruff = "^0.4.4"
types-deprecated = "^1.2.9"
types-ujson = "^5.6.0.0"
types-requests = "^2.28.11.5"
[tool.black]
exclude = '''
/(
\.eggs
| \.git
| \.hg
| \.mypy_cache
| \.tox
| \.venv
| _build
| buck-out
| build
| dist
)/
'''
include = '\.pyi?$'
line-length = 88
target-version = ["py37", "py38", "py39", "py310", "py311"]
[tool.commitizen]
name = "cz_conventional_commits"
version = "2.9.2"
tag_format = "$version"
[build-system]
requires = ["poetry-core>=1.0.0"]
build-backend = "poetry.core.masonry.api"
[tool.isort]
profile = "black"
+31
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@@ -0,0 +1,31 @@
aiohttp==3.7.1
appdirs==1.4.4
astroid==2.4.2
async-timeout==3.0.1
attrs==20.3.0
black==20.8b1
certifi==2020.11.8
chardet==3.0.4
click==7.1.2
colorama==0.4.4
gql==3.0.0a4
graphql-core==3.1.2
idna==2.10
isort==5.6.4
lazy-object-proxy==1.4.3
mccabe==0.6.1
multidict==5.0.0
mypy-extensions==0.4.3
pathspec==0.8.1
pydantic==1.7.2
pylint==2.6.0
regex==2020.11.11
requests==2.24.0
six==1.15.0
toml==0.10.2
typed-ast==1.4.1
typing-extensions==3.7.4.3
urllib3==1.25.11
websockets==8.1
wrapt==1.12.1
yarl==1.5.1
+85
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@@ -0,0 +1,85 @@
from gql.client import SyncClientSession
from speckle.logging.exceptions import SpeckleException
from typing import Dict
from speckle.api import resources
from speckle.api.resources import stream, server, user, subscriptions
from gql import Client, gql
from gql.transport.requests import RequestsHTTPTransport
from gql.transport.aiohttp import AIOHTTPTransport
from gql.transport.websockets import WebsocketsTransport
class SpeckleClient:
DEFAULT_HOST = "staging.speckle.dev"
USE_SSL = True
def __init__(self, host: str = DEFAULT_HOST, use_ssl: bool = USE_SSL) -> None:
ws_protocol = "ws"
http_protocol = "http"
if use_ssl:
ws_protocol = "wss"
http_protocol = "https"
self.url = f"{http_protocol}://{host}"
self.graphql = self.url + "/graphql"
self.ws_url = f"{ws_protocol}://{host}/graphql"
self.me = None
self.httpclient = Client(
transport=RequestsHTTPTransport(url=self.graphql, verify=True, retries=3)
)
self.wsclient = None
self._init_resources()
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.me = {"token": token}
headers = {
"Authorization": f"Bearer {self.me['token']}",
"Content-Type": "application/json",
}
httptransport = RequestsHTTPTransport(
url=self.graphql, headers=headers, verify=True, retries=3
)
wstransport = WebsocketsTransport(
url=self.ws_url,
init_payload={"Authorization": f"Bearer {self.me['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.stream = stream.Resource(
me=self.me, basepath=self.url, client=self.httpclient
)
self.server = server.Resource(
me=self.me, basepath=self.url, client=self.httpclient
)
self.user = user.Resource(me=self.me, basepath=self.url, client=self.httpclient)
self.subscribe = subscriptions.Resource(
me=self.me,
basepath=self.ws_url,
client=self.wsclient,
)
def __getattr__(self, name):
try:
attr = getattr(resources, name)
return attr.Resource(me=self.me, basepath=self.url, client=self.httpclient)
except:
raise SpeckleException(
f"Method {name} is not supported by the SpeckleClient class"
)
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@@ -0,0 +1,86 @@
# generated by datamodel-codegen:
# filename: stream_schema.json
# timestamp: 2020-11-17T14:33:13+00:00
from __future__ import annotations
from datetime import datetime
from typing import Any, Dict, List, Optional
from pydantic import BaseModel
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]
createdAt: Optional[str]
referencedObject: Optional[str]
class Commits(BaseModel):
totalCount: Optional[int]
cursor: Optional[Any]
items: List[Commit] = []
class Object(BaseModel):
id: Optional[str]
speckleType: Optional[str]
applicationId: Optional[str]
totalChildrenCount: Optional[int]
createdAt: Optional[str]
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 Streams(BaseModel):
totalCount: Optional[int]
cursor: Optional[datetime]
items: List[Stream] = []
class Stream(BaseModel):
id: Optional[str]
name: Optional[str]
description: Optional[str]
isPublic: Optional[bool]
createdAt: Optional[str]
updatedAt: Optional[str]
collaborators: List[Collaborator] = []
branches: Optional[Branches]
commit: Optional[Commit]
object: Optional[Object]
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]
+76
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@@ -0,0 +1,76 @@
from logging import error
from speckle.logging.exceptions import GraphQLException, SpeckleException
from typing import Dict, List
from gql.client import Client
from gql.gql import gql
from gql.transport.exceptions import TransportQueryError
class ResourceBase(object):
def __init__(
self,
me: Dict,
basepath: str,
client: Client,
name: str,
methods: list,
) -> None:
self.me = me
self.basepath = basepath
self.client = client
self.name = name
self.methods = methods
self.schema = None
def _step_into_response(self, response: dict, return_type: str or List):
"""Step into the dict to get the relevant data"""
if return_type is None:
return response
elif isinstance(return_type, str):
return response[return_type]
elif isinstance(return_type, List):
for key in return_type:
response = response[key]
return response
def _parse_response(self, response: dict or list, schema=None):
"""Try to create a class instance from the response"""
if isinstance(response, list):
return [self._parse_response(response=r, schema=schema) for r in response]
if schema:
return schema.parse_obj(response)
elif self.schema:
return self.schema.parse_obj(response)
else:
return response
def make_request(
self,
query: gql,
params: Dict = None,
return_type: str or List = None,
schema=None,
parse_response: bool = True,
) -> Dict or GraphQLException:
"""Executes the GraphQL query"""
try:
response = self.client.execute(query, variable_values=params)
except Exception as e:
if isinstance(e, TransportQueryError):
return GraphQLException(
message=f"Failed to execute the GraphQL {self.name} request. Errors: {e.errors}",
errors=e.errors,
data=e.data,
)
else:
return SpeckleException(
message=f"Failed to execute the GraphQL {self.name} request. Inner exception: {e}",
exception=e,
)
response = self._step_into_response(response=response, return_type=return_type)
if parse_response:
return self._parse_response(response=response, schema=schema)
else:
return response
@@ -1,9 +1,13 @@
import pkgutil
from pathlib import Path
import sys
import inspect
import pkgutil
from importlib import import_module
for _, name, _ in pkgutil.iter_modules(__path__):
for (_, name, _) in pkgutil.iter_modules([Path(__file__).parent]):
imported_module = import_module("." + name, package=__name__)
if hasattr(imported_module, "Resource"):
setattr(sys.modules[__name__], name, imported_module)
setattr(sys.modules[__name__], name, imported_module)
+48
View File
@@ -0,0 +1,48 @@
from typing import List, Optional
from gql import gql
from pydantic.main import BaseModel
from speckle.api.resource import ResourceBase
from speckle.api.models import Branch
NAME = "branch"
METHODS = ["create"]
class Resource(ResourceBase):
"""API Access class for branches"""
def __init__(self, me, basepath, client) -> None:
super().__init__(
me=me, basepath=basepath, client=client, name=NAME, methods=METHODS
)
self.schema = Branch
def create(
self, streamId: 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
"""
query = gql(
"""
mutation BranchCreate($branch: BranchCreateInput!){
branchCreate(branch: $branch)
}
"""
)
params = {
"branch": {
"streamId": streamId,
"name": name,
"description": description,
}
}
return self.make_request(query=query, params=params, parse_response=False)
+19
View File
@@ -0,0 +1,19 @@
from typing import Optional, List
from gql import gql
from pydantic.main import BaseModel
from speckle.api.resource import ResourceBase
from speckle.api.models import Commit
NAME = "commit"
METHODS = []
class Resource(ResourceBase):
"""API Access class for commits"""
def __init__(self, me, basepath, client) -> None:
super().__init__(
me=me, basepath=basepath, client=client, name=NAME, methods=METHODS
)
self.schema = Commit
+79
View File
@@ -0,0 +1,79 @@
from typing import Dict
from gql import gql
from gql.client import Client
from speckle.api.resource import ResourceBase
NAME = "server"
METHODS = ["get", "apps"]
class Resource(ResourceBase):
"""API Access class for the server"""
def __init__(self, me, basepath, client) -> None:
super().__init__(
me=me, basepath=basepath, client=client, name=NAME, methods=METHODS
)
def get(self) -> Dict:
"""Get the server info
Returns:
dict -- the server info in dictionary form
"""
query = gql(
"""
query Server {
serverInfo {
name
company
description
adminContact
canonicalUrl
roles {
name
description
resourceTarget
}
scopes {
name
description
}
authStrategies{
id
name
icon
}
}
}
"""
)
return self.make_request(query=query)
def apps(self) -> Dict:
"""Get the apps registered on the server
Returns:
dict -- a dictionary of apps registered on the server
"""
query = gql(
"""
query Apps {
apps {
id
name
description
termsAndConditionsLink
logo
author {
id
name
}
}
}
"""
)
return self.make_request(query=query)
+298
View File
@@ -0,0 +1,298 @@
from re import search
from typing import Dict, List, Optional
from pydantic import BaseModel
from gql import gql
from speckle.api.resource import ResourceBase
from speckle.api.models import Stream
from speckle.logging.exceptions import GraphQLException
NAME = "stream"
METHODS = [
"list",
"create",
"get",
"update",
"delete",
"search",
]
class Resource(ResourceBase):
"""API Access class for streams"""
def __init__(self, me, basepath, client) -> None:
super().__init__(
me=me, basepath=basepath, client=client, name=NAME, methods=METHODS
)
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
"""
query = gql(
"""
query Stream($id: String!, $branch_limit: Int!, $commit_limit: Int!) {
stream(id: $id) {
id
name
description
isPublic
createdAt
updatedAt
collaborators {
id
name
role
avatar
}
branches(limit: $branch_limit) {
totalCount
cursor
items {
id
name
description
commits(limit: $commit_limit) {
totalCount
cursor
items {
id
referencedObject
message
authorName
authorId
createdAt
}
}
}
}
}
}
"""
)
params = {"id": id, "branch_limit": branch_limit, "commit_limit": commit_limit}
return self.make_request(query=query, params=params, return_type="stream")
def list(self, stream_limit: int = 10) -> List[Stream]:
"""Get a list of the user's streams
Arguments:
stream_limit {int} -- The maximum number of streams to return
Returns:
List[Stream] -- A list of Stream objects
"""
query = gql(
"""
query User($stream_limit: Int!) {
user {
id
email
name
bio
company
avatar
verified
profiles
role
streams(limit: $stream_limit) {
totalCount
cursor
items {
id
name
description
isPublic
createdAt
updatedAt
collaborators {
id
name
role
}
}
}
}
}
"""
)
params = {"stream_limit": stream_limit}
return self.make_request(
query=query, params=params, return_type=["user", "streams", "items"]
)
def create(
self,
name: str = "Anonymous Python Stream",
description: str = "No description provided",
is_public: bool = True,
) -> str:
"""Create a new stream
Arguments:
name {str} -- the name of the string
description {str} -- a short description of the stream
is_public {bool} -- whether or not the stream can be viewed by anyone with the id
Returns:
id {str} -- the id of the newly created stream
"""
query = gql(
"""
mutation StreamCreate($stream: StreamCreateInput!) {
streamCreate(stream: $stream)
}
"""
)
params = {
"stream": {"name": name, "description": description, "isPublic": is_public}
}
return self.make_request(
query=query, params=params, return_type="streamCreate", parse_response=False
)
def update(
self, id: str, name: str = None, description: str = None, is_public: bool = None
) -> bool:
"""Update an existing stream
Arguments:
id {str} -- the id of the stream to be updated
name {str} -- the name of the string
description {str} -- a short description of the stream
is_public {bool} -- whether or not the stream can be viewed by anyone with the id
Returns:
bool -- whether the stream update was successful
"""
query = gql(
"""
mutation StreamUpdate($stream: StreamUpdateInput!) {
streamUpdate(stream: $stream)
}
"""
)
params = {
"id": id,
"name": name,
"description": description,
"isPublic": is_public,
}
# remove None values so graphql doesn't cry
params = {"stream": {k: v for k, v in params.items() if v is not None}}
return self.make_request(
query=query, params=params, return_type="streamUpdate", parse_response=False
)
def delete(self, id: str) -> bool:
"""Delete a stream given its id
Arguments:
id {str} -- the id of the stream to delete
Returns:
bool -- whether the deletion was successful
"""
query = gql(
"""
mutation StreamDelete($id: String!) {
streamDelete(id: $id)
}
"""
)
params = {"id": id}
return self.make_request(
query=query, params=params, return_type="streamDelete", parse_response=False
)
def search(
self,
search_query: str,
limit: int = 25,
branch_limit: int = 10,
commit_limit: int = 10,
):
"""Search for streams by name, description, or id
Arguments:
search_query {str} -- a string to search for
limit {int} -- the maximum number of results to return
branch_limit {int} -- the maximum number of branches to return
commit_limit {int} -- the maximum number of commits to return
Returns:
List[Stream] -- a list of Streams that match the search query
"""
query = gql(
"""
query StreamSearch($search_query: String!,$limit: Int!, $branch_limit:Int!, $commit_limit:Int!) {
streams(query: $search_query, limit: $limit) {
items {
id
name
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"]
)
@@ -1,14 +1,16 @@
from typing import Callable, Dict, List, Optional, Any
from functools import wraps
from typing import Callable, Dict, List, Optional, Union
from gql import gql
from graphql import DocumentNode
from specklepy.core.api.resource import ResourceBase
from specklepy.core.api.resources.stream import Stream
from specklepy.logging.exceptions import SpeckleException
from speckle.api.resource import ResourceBase
from speckle.api.resources.stream import Stream
from speckle.logging.exceptions import GraphQLException, SpeckleException
NAME = "subscribe"
METHODS = [
"stream_added",
"stream_updated",
"stream_removed",
]
def check_wsclient(function):
@@ -27,22 +29,17 @@ def check_wsclient(function):
class Resource(ResourceBase):
"""API Access class for subscriptions"""
def __init__(self, account, basepath, client) -> None:
def __init__(self, me, basepath, client) -> None:
super().__init__(
account=account,
basepath=basepath,
client=client,
name=NAME,
me=me, basepath=basepath, client=client, name=NAME, methods=METHODS
)
@check_wsclient
async def stream_added(self, callback: Optional[Callable] = None):
"""Subscribes to new stream added event for your profile.
Use this to display an up-to-date list of streams.
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
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
@@ -57,16 +54,12 @@ class Resource(ResourceBase):
)
@check_wsclient
async def stream_updated(self, id: str, callback: Optional[Callable] = None):
"""
Subscribes to stream updated event.
Use this in clients/components that pertain only to this stream.
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
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
@@ -87,17 +80,11 @@ class Resource(ResourceBase):
)
@check_wsclient
async def stream_removed(self, callback: Optional[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.
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
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'
@@ -118,15 +105,15 @@ class Resource(ResourceBase):
@check_wsclient
async def subscribe(
self,
query: DocumentNode,
params: Optional[Dict] = None,
callback: Optional[Callable] = None,
return_type: Optional[Union[str, List]] = None,
query: gql,
params: Dict = None,
callback: Callable = None,
return_type: str or List = None,
schema=None,
parse_response: bool = True,
):
# if self.client.transport.websocket is None:
# TODO: add multiple subs to the same ws connection
# 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)
@@ -135,4 +122,4 @@ class Resource(ResourceBase):
if callback is not None:
callback(res)
else:
return res
return res
+86
View File
@@ -0,0 +1,86 @@
from speckle.logging.exceptions import SpeckleException
from typing import List, Optional
from gql import gql
from pydantic.main import BaseModel
from speckle.api.resource import ResourceBase
from speckle.api.models import User
NAME = "user"
METHODS = ["get"]
class Resource(ResourceBase):
"""API Access class for users"""
def __init__(self, me, basepath, client) -> None:
super().__init__(
me=me, basepath=basepath, client=client, name=NAME, methods=METHODS
)
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
"""
query = gql(
"""
query User($id: String) {
user(id: $id) {
id
email
name
bio
company
avatar
verified
profiles
role
}
}
"""
)
params = {"id": id}
return self.make_request(query=query, params=params, return_type="user")
def search(self, search_query: str, limit: int = 25) -> List[User]:
"""Searches for user by name or email. The search query must be at least 3 characters long
Arguments:
search_query {str} -- a string to search for
limit {int} -- the maximum number of results to return
Returns:
List[User] -- a list of User objects that match the search query
"""
if len(search_query) < 3:
return SpeckleException(
message="User search query must be at least 3 characters"
)
query = gql(
"""
query UserSearch($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"]
)
+640
View File
@@ -0,0 +1,640 @@
scalar DateTime
scalar EmailAddress
scalar BigInt
scalar JSONObject
directive @hasScope(scope: String!) on FIELD_DEFINITION
directive @hasRole(role: String!) on FIELD_DEFINITION
type Query {
"""
Stare into the void.
"""
_: String
}
type Mutation{
"""
The void stares back.
"""
_: String
}
type Subscription{
"""
It's lonely in the void.
"""
_: String
},extend type Query {
"""
Gets a specific app from the server.
"""
app( id: String! ): ServerApp
"""
Returns all the publicly available apps on this server.
"""
apps: [ServerAppListItem]
}
type ServerApp {
id: String!
secret: String!
name: String!
description: String
termsAndConditionsLink: String
logo: String
public: Boolean
trustByDefault: Boolean
author: AppAuthor
createdAt: DateTime!
redirectUrl: String!
scopes: [Scope]!
}
type ServerAppListItem {
id: String!
name: String!
description: String
termsAndConditionsLink: String
logo: String
author: AppAuthor
}
type AppAuthor {
name: String
id: String
}
extend type User {
"""
Returns the apps you have authorized.
"""
authorizedApps: [ServerAppListItem]
@hasRole(role: "server:user")
@hasScope(scope: "apps:read")
"""
Returns the apps you have created.
"""
createdApps: [ServerAppListItem]
@hasRole(role: "server:user")
@hasScope(scope: "apps:read")
}
extend type Mutation {
"""
Register a new third party application.
"""
appCreate(app: AppCreateInput!): String!
@hasRole(role: "server:user")
@hasScope(scope: "apps:write")
"""
Update an existing third party application. **Note: This will invalidate all existing tokens, refresh tokens and access codes and will require existing users to re-authorize it.**
"""
appUpdate(app: AppUpdateInput!): Boolean!
@hasRole(role: "server:user")
@hasScope(scope: "apps:write")
"""
Deletes a thirty party application.
"""
appDelete(appId: String!): Boolean!
@hasRole(role: "server:user")
@hasScope(scope: "apps:write")
"""
Revokes (de-authorizes) an application that you have previously authorized.
"""
appRevokeAccess(appId: String!): Boolean
@hasRole(role: "server:user")
@hasScope(scope: "apps:write")
}
input AppCreateInput {
name: String!
description: String!
termsAndConditionsLink: String
logo: String
public: Boolean
redirectUrl: String!
scopes: [String]!
}
input AppUpdateInput {
id: String!
name: String!
description: String!
termsAndConditionsLink: String
logo: String
public: Boolean
redirectUrl: String!
scopes: [String]!
}
,extend type ServerInfo {
"""
The authentication strategies available on this server.
"""
authStrategies: [AuthStrategy]
}
type AuthStrategy {
id: String!,
name: String!,
icon: String!,
url: String!,
color: String
}
,extend type User{
"""
Returns a list of your personal api tokens.
"""
apiTokens: [ApiToken]
@hasRole(role: "server:user")
@hasScope(scope: "tokens:read")
}
type ApiToken {
id: String!
name: String!
lastChars: String!
scopes: [String]!
createdAt: DateTime! #date
lifespan: BigInt!
lastUsed: String! #date
}
input ApiTokenCreateInput {
scopes: [String!]!,
name: String!,
lifespan: BigInt
}
extend type Mutation {
"""
Creates an personal api token.
"""
apiTokenCreate(token: ApiTokenCreateInput!):String!
@hasRole(role: "server:user")
@hasScope(scope: "tokens:write")
"""
Revokes (deletes) an personal api token.
"""
apiTokenRevoke(token: String!):Boolean!
@hasRole(role: "server:user")
@hasScope(scope: "tokens:write")
}
,extend type Stream {
commits(limit: Int! = 25, cursor: String): CommitCollection
commit(id: String!): Commit
branches(limit: Int! = 25, cursor: String): BranchCollection
branch(name: String!): Branch
}
extend type User {
commits(limit: Int! = 25, cursor: String): CommitCollectionUser
}
type Branch {
id: String!
name: String!
author: User!
description: String
commits(limit: Int! = 25, cursor: String): CommitCollection
}
type Commit {
id: String!
referencedObject: String!
message: String
authorName: String
authorId: String
createdAt: DateTime
}
type CommitCollectionUserNode {
id: String!
referencedObject: String!
message: String
streamId: String
streamName: String
createdAt: DateTime
}
type BranchCollection {
totalCount: Int!
cursor: String
items: [Branch]
}
type CommitCollection {
totalCount: Int!
cursor: String
items: [Commit]
}
type CommitCollectionUser {
totalCount: Int!
cursor: String
items: [CommitCollectionUserNode]
}
extend type Mutation {
branchCreate(branch: BranchCreateInput!): String!
@hasRole(role: "server:user")
@hasScope(scope: "streams:write")
branchUpdate(branch: BranchUpdateInput!): Boolean!
@hasRole(role: "server:user")
@hasScope(scope: "streams:write")
branchDelete(branch: BranchDeleteInput!): Boolean!
@hasRole(role: "server:user")
@hasScope(scope: "streams:write")
commitCreate(commit: CommitCreateInput!): String!
@hasRole(role: "server:user")
@hasScope(scope: "streams:write")
commitUpdate(commit: CommitUpdateInput!): Boolean!
@hasRole(role: "server:user")
@hasScope(scope: "streams:write")
commitDelete(commit: CommitDeleteInput!): Boolean!
@hasRole(role: "server:user")
@hasScope(scope: "streams:write")
}
extend type Subscription {
# TODO: auth for these subscriptions
"""
Subscribe to branch created event
"""
branchCreated(streamId: String!): JSONObject
@hasRole(role: "server:user")
@hasScope(scope: "streams:read")
"""
Subscribe to branch updated event.
"""
branchUpdated(streamId: String!, branchId: String): JSONObject
@hasRole(role: "server:user")
@hasScope(scope: "streams:read")
"""
Subscribe to branch deleted event
"""
branchDeleted(streamId: String!): JSONObject
@hasRole(role: "server:user")
@hasScope(scope: "streams:read")
"""
Subscribe to commit created event
"""
commitCreated(streamId: String!): JSONObject
@hasRole(role: "server:user")
@hasScope(scope: "streams:read")
"""
Subscribe to commit updated event.
"""
commitUpdated(streamId: String!, commitId: String): JSONObject
@hasRole(role: "server:user")
@hasScope(scope: "streams:read")
"""
Subscribe to commit deleted event
"""
commitDeleted(streamId: String!): JSONObject
@hasRole(role: "server:user")
@hasScope(scope: "streams:read")
}
input BranchCreateInput {
streamId: String!
name: String!
description: String
}
input BranchUpdateInput {
streamId: String!
id: String!
name: String
description: String
}
input BranchDeleteInput {
streamId: String!
id: String!
}
input CommitCreateInput {
streamId: String!
branchName: String!
objectId: String!
message: String
previousCommitIds: [String]
}
input CommitUpdateInput {
streamId: String!
id: String!
message: String!
}
input CommitDeleteInput {
streamId: String!
id: String!
}
,extend type Stream {
object( id: String! ): Object
}
type Object {
id: String!
speckleType: String!
applicationId: String
createdAt: DateTime
totalChildrenCount: Int
"""
The full object, with all its props & other things. **NOTE:** If you're requesting objects for the purpose of recreating & displaying, you probably only want to request this specific field.
"""
data: JSONObject
"""
Get any objects that this object references. In the case of commits, this will give you a commit's constituent objects.
**NOTE**: Providing any of the two last arguments ( `query`, `orderBy` ) will trigger a different code branch that executes a much more expensive SQL query. It is not recommended to do so for basic clients that are interested in purely getting all the objects of a given commit.
"""
children(
limit: Int! = 100,
depth: Int! = 50,
select: [String],
cursor: String,
query: [JSONObject!],
orderBy: JSONObject ): ObjectCollection!
}
type ObjectCollection {
totalCount: Int!
cursor: String
objects: [Object]!
}
extend type Mutation {
objectCreate( objectInput: ObjectCreateInput! ): [String]!
}
input ObjectCreateInput {
"""
The stream against which these objects will be created.
"""
streamId: String!
"""
The objects you want to create.
"""
objects: [JSONObject]!
},extend type Query {
serverInfo: ServerInfo!
}
"""
Information about this server.
"""
type ServerInfo {
name: String!
company: String
description: String
adminContact: String
canonicalUrl: String
termsOfService: String
roles: [Role]!
scopes: [Scope]!
}
"""
Available roles.
"""
type Role {
name: String!
description: String!
resourceTarget: String!
}
"""
Available scopes.
"""
type Scope {
name: String!
description: String!
}
extend type Mutation {
serverInfoUpdate(info: ServerInfoUpdateInput!): Boolean
@hasRole(role: "server:admin")
@hasScope(scope: "server:setup")
}
input ServerInfoUpdateInput {
name: String!
company: String
description: String
adminContact: String
termsOfService: String
}
,extend type Query {
"""
Returns a specific stream.
"""
stream( id: String! ): Stream
"""
All the streams of the current user, pass in the `query` parameter to seach by name, description or ID.
"""
streams( query: String, limit: Int = 25, cursor: String ): StreamCollection
@hasScope(scope: "streams:read")
}
type Stream {
id: String!
name: String!
description: String
isPublic: Boolean!
createdAt: DateTime!
updatedAt: DateTime!
collaborators: [ StreamCollaborator ]!
}
extend type User {
"""
All the streams that a user has access to.
"""
streams( limit: Int! = 25, cursor: String ): StreamCollection
}
type StreamCollaborator {
id: String!
name: String!
role: String!
company: String
avatar: String
}
type StreamCollection {
totalCount: Int!
cursor: String
items: [ Stream ]
}
extend type Mutation {
"""
Creates a new stream.
"""
streamCreate( stream: StreamCreateInput! ): String
@hasRole(role: "server:user")
@hasScope(scope: "streams:write")
"""
Updates an existing stream.
"""
streamUpdate( stream: StreamUpdateInput! ): Boolean!
@hasRole(role: "server:user")
@hasScope(scope: "streams:write")
"""
Deletes an existing stream.
"""
streamDelete( id: String! ): Boolean!
@hasRole(role: "server:user")
@hasScope(scope: "streams:write")
"""
Grants permissions to a user on a given stream.
"""
streamGrantPermission( permissionParams: StreamGrantPermissionInput! ): Boolean
@hasRole(role: "server:user")
@hasScope(scope: "streams:write")
"""
Revokes the permissions of a user on a given stream.
"""
streamRevokePermission( permissionParams: StreamRevokePermissionInput! ): Boolean
@hasRole(role: "server:user")
@hasScope(scope: "streams:write")
}
extend type Subscription {
#
# User bound subscriptions that operate on the stream collection of an user
# Example relevant view/usecase: updating the list of streams for a user.
#
"""
Subscribes to new stream added event for your profile. Use this to display an up-to-date list of streams.
**NOTE**: If someone shares a stream with you, this subscription will be triggered with an extra value of `sharedBy` in the payload.
"""
userStreamAdded: JSONObject
@hasRole(role: "server:user")
@hasScope(scope: "profile:read")
"""
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.
"""
userStreamRemoved: JSONObject
@hasRole(role: "server:user")
@hasScope(scope: "profile:read")
#
# Stream bound subscriptions that operate on the stream itself.
# Example relevant view/usecase: a single stream connector, or view, or component in a web app
#
"""
Subscribes to stream updated event. Use this in clients/components that pertain only to this stream.
"""
streamUpdated( streamId: String ): JSONObject
@hasRole(role: "server:user")
@hasScope(scope: "streams:read")
"""
Subscribes to stream deleted event. Use this in clients/components that pertain only to this stream.
"""
streamDeleted( streamId: String ): JSONObject
@hasRole(role: "server:user")
@hasScope(scope: "streams:read")
}
input StreamCreateInput {
name: String
description: String
isPublic: Boolean
}
input StreamUpdateInput {
id: String!
name: String
description: String
isPublic: Boolean
}
input StreamGrantPermissionInput {
streamId: String!,
userId: String!,
role: String!
}
input StreamRevokePermissionInput {
streamId: String!,
userId: String!
}
,extend type Query {
"""
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).
"""
user(id: String): User
userSearch(
query: String!
limit: Int! = 25
cursor: String
): UserSearchResultCollection
userPwdStrength(pwd: String!): JSONObject
}
"""
Base user type.
"""
type User {
id: String!
suuid: String
email: String
name: String
bio: String
company: String
avatar: String
verified: Boolean
profiles: JSONObject
role: String
}
type UserSearchResultCollection {
cursor: String
items: [UserSearchResult]
}
type UserSearchResult {
id: String!
name: String
bio: String
company: String
avatar: String
verified: Boolean
}
extend type Mutation {
"""
Edits a user's profile.
"""
userUpdate(user: UserUpdateInput!): Boolean!
}
input UserUpdateInput {
name: String
company: String
bio: String
}
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from typing import List
class SpeckleException(Exception):
def __init__(self, message: str, exception: Exception = None) -> None:
self.message = message
self.exception = exception
def __repr__(self) -> str:
return f"SpeckleException: {self.message}"
class GraphQLException(SpeckleException):
def __init__(self, message: str, errors: List, data=None) -> None:
super().__init__(message=message)
self.errors = errors
self.data = data
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# generated by datamodel-codegen:
# filename: Beam.json
# timestamp: 2020-11-24T16:33:00+00:00
from __future__ import annotations
from typing import Any, Dict, List, Optional
from pydantic import BaseModel
class IGeometry(BaseModel):
__root__: Optional[Dict[str, Any]]
class Mesh(BaseModel):
vertices: Optional[List[float]] = None
faces: Optional[List[int]] = None
colors: Optional[List[int]] = None
textureCoordinates: Optional[List[float]] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class Level(BaseModel):
name: Optional[Optional[str]] = None
elevation: Optional[float] = None
baseGeometry: Optional[IGeometry] = None
displayMesh: Optional[Mesh] = None
type: Optional[Optional[str]] = None
level: Optional[Level] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class Beam(BaseModel):
baseGeometry: Optional[IGeometry] = None
displayMesh: Optional[Mesh] = None
type: Optional[Optional[str]] = None
level: Optional[Level] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
Level.update_forward_refs()
+51
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# generated by datamodel-codegen:
# filename: Brace.json
# timestamp: 2020-11-24T16:33:02+00:00
from __future__ import annotations
from typing import Any, Dict, List, Optional
from pydantic import BaseModel
class IGeometry(BaseModel):
__root__: Optional[Dict[str, Any]]
class Mesh(BaseModel):
vertices: Optional[List[float]] = None
faces: Optional[List[int]] = None
colors: Optional[List[int]] = None
textureCoordinates: Optional[List[float]] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class Level(BaseModel):
name: Optional[Optional[str]] = None
elevation: Optional[float] = None
baseGeometry: Optional[IGeometry] = None
displayMesh: Optional[Mesh] = None
type: Optional[Optional[str]] = None
level: Optional[Level] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class Brace(BaseModel):
baseGeometry: Optional[IGeometry] = None
displayMesh: Optional[Mesh] = None
type: Optional[Optional[str]] = None
level: Optional[Level] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
Level.update_forward_refs()
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# generated by datamodel-codegen:
# filename: Column.json
# timestamp: 2020-11-24T16:33:04+00:00
from __future__ import annotations
from typing import Any, Dict, List, Optional
from pydantic import BaseModel
class IGeometry(BaseModel):
__root__: Optional[Dict[str, Any]]
class Mesh(BaseModel):
vertices: Optional[List[float]] = None
faces: Optional[List[int]] = None
colors: Optional[List[int]] = None
textureCoordinates: Optional[List[float]] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class Level(BaseModel):
name: Optional[Optional[str]] = None
elevation: Optional[float] = None
baseGeometry: Optional[IGeometry] = None
displayMesh: Optional[Mesh] = None
type: Optional[Optional[str]] = None
level: Optional[Level] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class Column(BaseModel):
height: Optional[float] = None
baseGeometry: Optional[IGeometry] = None
displayMesh: Optional[Mesh] = None
type: Optional[Optional[str]] = None
level: Optional[Level] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
Level.update_forward_refs()
+57
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# generated by datamodel-codegen:
# filename: Duct.json
# timestamp: 2020-11-24T16:33:07+00:00
from __future__ import annotations
from typing import Any, Dict, List, Optional
from pydantic import BaseModel
class IGeometry(BaseModel):
__root__: Optional[Dict[str, Any]]
class Mesh(BaseModel):
vertices: Optional[List[float]] = None
faces: Optional[List[int]] = None
colors: Optional[List[int]] = None
textureCoordinates: Optional[List[float]] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class Level(BaseModel):
name: Optional[Optional[str]] = None
elevation: Optional[float] = None
baseGeometry: Optional[IGeometry] = None
displayMesh: Optional[Mesh] = None
type: Optional[Optional[str]] = None
level: Optional[Level] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class Duct(BaseModel):
width: Optional[float] = None
height: Optional[float] = None
diameter: Optional[float] = None
length: Optional[float] = None
level: Optional[Level] = None
velocity: Optional[float] = None
system: Optional[Optional[str]] = None
baseGeometry: Optional[IGeometry] = None
displayMesh: Optional[Mesh] = None
type: Optional[Optional[str]] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
Level.update_forward_refs()
+51
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# generated by datamodel-codegen:
# filename: Element.json
# timestamp: 2020-11-24T16:33:08+00:00
from __future__ import annotations
from typing import Any, Dict, List, Optional
from pydantic import BaseModel
class IGeometry(BaseModel):
__root__: Optional[Dict[str, Any]]
class Mesh(BaseModel):
vertices: Optional[List[float]] = None
faces: Optional[List[int]] = None
colors: Optional[List[int]] = None
textureCoordinates: Optional[List[float]] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class Level(BaseModel):
name: Optional[Optional[str]] = None
elevation: Optional[float] = None
baseGeometry: Optional[IGeometry] = None
displayMesh: Optional[Mesh] = None
type: Optional[Optional[str]] = None
level: Optional[Level] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class Element(BaseModel):
baseGeometry: Optional[IGeometry] = None
displayMesh: Optional[Mesh] = None
type: Optional[Optional[str]] = None
level: Optional[Level] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
Level.update_forward_refs()
+56
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# generated by datamodel-codegen:
# filename: Floor.json
# timestamp: 2020-11-24T16:33:10+00:00
from __future__ import annotations
from typing import Any, Dict, List, Optional
from pydantic import BaseModel
class ICurve(BaseModel):
__root__: Optional[Dict[str, Any]]
class IGeometry(BaseModel):
__root__: Optional[Dict[str, Any]]
class Mesh(BaseModel):
vertices: Optional[List[float]] = None
faces: Optional[List[int]] = None
colors: Optional[List[int]] = None
textureCoordinates: Optional[List[float]] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class Level(BaseModel):
name: Optional[Optional[str]] = None
elevation: Optional[float] = None
baseGeometry: Optional[IGeometry] = None
displayMesh: Optional[Mesh] = None
type: Optional[Optional[str]] = None
level: Optional[Level] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class Floor(BaseModel):
holes: Optional[List[ICurve]] = None
baseGeometry: Optional[IGeometry] = None
displayMesh: Optional[Mesh] = None
type: Optional[Optional[str]] = None
level: Optional[Level] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
Level.update_forward_refs()
@@ -0,0 +1,67 @@
# generated by datamodel-codegen:
# filename: GridLine.json
# timestamp: 2020-11-24T16:33:12+00:00
from __future__ import annotations
from typing import Any, Dict, List, Optional
from pydantic import BaseModel
class IGeometry(BaseModel):
__root__: Optional[Dict[str, Any]]
class Interval(BaseModel):
start: Optional[Optional[float]] = None
end: Optional[Optional[float]] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class Line(BaseModel):
value: Optional[List[float]] = None
domain: Optional[Interval] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class Mesh(BaseModel):
vertices: Optional[List[float]] = None
faces: Optional[List[int]] = None
colors: Optional[List[int]] = None
textureCoordinates: Optional[List[float]] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class Level(BaseModel):
name: Optional[Optional[str]] = None
elevation: Optional[float] = None
baseGeometry: Optional[IGeometry] = None
displayMesh: Optional[Mesh] = None
type: Optional[Optional[str]] = None
level: Optional[Level] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class GridLine(BaseModel):
baseLine: Optional[Line] = None
level: Optional[Level] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
Level.update_forward_refs()
+40
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# generated by datamodel-codegen:
# filename: Level.json
# timestamp: 2020-11-24T16:33:15+00:00
from __future__ import annotations
from typing import Any, Dict, List, Optional
from pydantic import BaseModel
class IGeometry(BaseModel):
__root__: Optional[Dict[str, Any]]
class Mesh(BaseModel):
vertices: Optional[List[float]] = None
faces: Optional[List[int]] = None
colors: Optional[List[int]] = None
textureCoordinates: Optional[List[float]] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class Level(BaseModel):
name: Optional[Optional[str]] = None
elevation: Optional[float] = None
baseGeometry: Optional[IGeometry] = None
displayMesh: Optional[Mesh] = None
type: Optional[Optional[str]] = None
level: Optional[Level] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
Level.update_forward_refs()
+51
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# generated by datamodel-codegen:
# filename: Opening.json
# timestamp: 2020-11-24T16:33:18+00:00
from __future__ import annotations
from typing import Any, Dict, List, Optional
from pydantic import BaseModel
class IGeometry(BaseModel):
__root__: Optional[Dict[str, Any]]
class Mesh(BaseModel):
vertices: Optional[List[float]] = None
faces: Optional[List[int]] = None
colors: Optional[List[int]] = None
textureCoordinates: Optional[List[float]] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class Level(BaseModel):
name: Optional[Optional[str]] = None
elevation: Optional[float] = None
baseGeometry: Optional[IGeometry] = None
displayMesh: Optional[Mesh] = None
type: Optional[Optional[str]] = None
level: Optional[Level] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class Opening(BaseModel):
baseGeometry: Optional[IGeometry] = None
displayMesh: Optional[Mesh] = None
type: Optional[Optional[str]] = None
level: Optional[Level] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
Level.update_forward_refs()
+56
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@@ -0,0 +1,56 @@
# generated by datamodel-codegen:
# filename: Roof.json
# timestamp: 2020-11-24T16:33:33+00:00
from __future__ import annotations
from typing import Any, Dict, List, Optional
from pydantic import BaseModel
class ICurve(BaseModel):
__root__: Optional[Dict[str, Any]]
class IGeometry(BaseModel):
__root__: Optional[Dict[str, Any]]
class Mesh(BaseModel):
vertices: Optional[List[float]] = None
faces: Optional[List[int]] = None
colors: Optional[List[int]] = None
textureCoordinates: Optional[List[float]] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class Level(BaseModel):
name: Optional[Optional[str]] = None
elevation: Optional[float] = None
baseGeometry: Optional[IGeometry] = None
displayMesh: Optional[Mesh] = None
type: Optional[Optional[str]] = None
level: Optional[Level] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class Roof(BaseModel):
holes: Optional[List[ICurve]] = None
baseGeometry: Optional[IGeometry] = None
displayMesh: Optional[Mesh] = None
type: Optional[Optional[str]] = None
level: Optional[Level] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
Level.update_forward_refs()
+59
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@@ -0,0 +1,59 @@
# generated by datamodel-codegen:
# filename: Room.json
# timestamp: 2020-11-24T16:33:34+00:00
from __future__ import annotations
from typing import Any, Dict, List, Optional
from pydantic import BaseModel
class ICurve(BaseModel):
__root__: Optional[Dict[str, Any]]
class IGeometry(BaseModel):
__root__: Optional[Dict[str, Any]]
class Mesh(BaseModel):
vertices: Optional[List[float]] = None
faces: Optional[List[int]] = None
colors: Optional[List[int]] = None
textureCoordinates: Optional[List[float]] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class Level(BaseModel):
name: Optional[Optional[str]] = None
elevation: Optional[float] = None
baseGeometry: Optional[IGeometry] = None
displayMesh: Optional[Mesh] = None
type: Optional[Optional[str]] = None
level: Optional[Level] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class Room(BaseModel):
number: Optional[Optional[str]] = None
area: Optional[float] = None
volume: Optional[float] = None
holes: Optional[List[ICurve]] = None
baseGeometry: Optional[IGeometry] = None
displayMesh: Optional[Mesh] = None
type: Optional[Optional[str]] = None
level: Optional[Level] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
Level.update_forward_refs()
@@ -0,0 +1,28 @@
# generated by datamodel-codegen:
# filename: Topography.json
# timestamp: 2020-11-24T16:33:35+00:00
from __future__ import annotations
from typing import List, Optional
from pydantic import BaseModel
class Mesh(BaseModel):
vertices: Optional[List[float]] = None
faces: Optional[List[int]] = None
colors: Optional[List[int]] = None
textureCoordinates: Optional[List[float]] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class Topography(BaseModel):
baseGeometry: Optional[Mesh] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
+52
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@@ -0,0 +1,52 @@
# generated by datamodel-codegen:
# filename: Wall.json
# timestamp: 2020-11-24T16:33:37+00:00
from __future__ import annotations
from typing import Any, Dict, List, Optional
from pydantic import BaseModel
class IGeometry(BaseModel):
__root__: Optional[Dict[str, Any]]
class Mesh(BaseModel):
vertices: Optional[List[float]] = None
faces: Optional[List[int]] = None
colors: Optional[List[int]] = None
textureCoordinates: Optional[List[float]] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class Level(BaseModel):
name: Optional[Optional[str]] = None
elevation: Optional[float] = None
baseGeometry: Optional[IGeometry] = None
displayMesh: Optional[Mesh] = None
type: Optional[Optional[str]] = None
level: Optional[Level] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class Wall(BaseModel):
height: Optional[float] = None
baseGeometry: Optional[IGeometry] = None
displayMesh: Optional[Mesh] = None
type: Optional[Optional[str]] = None
level: Optional[Level] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
Level.update_forward_refs()
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# generated by datamodel-codegen:
# filename: Arc.json
# timestamp: 2020-11-24T16:32:59+00:00
from __future__ import annotations
from typing import List, Optional
from pydantic import BaseModel
class Interval(BaseModel):
start: Optional[Optional[float]] = None
end: Optional[Optional[float]] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class Point(BaseModel):
value: Optional[List[float]] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class Vector(BaseModel):
value: Optional[List[float]] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class Plane(BaseModel):
origin: Optional[Point] = None
normal: Optional[Vector] = None
xdir: Optional[Vector] = None
ydir: Optional[Vector] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class Arc(BaseModel):
radius: Optional[Optional[float]] = None
startAngle: Optional[Optional[float]] = None
endAngle: Optional[Optional[float]] = None
angleRadians: Optional[Optional[float]] = None
plane: Optional[Plane] = None
domain: Optional[Interval] = None
startPoint: Optional[Point] = None
midPoint: Optional[Point] = None
endPoint: Optional[Point] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
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# generated by datamodel-codegen:
# filename: Block.json
# timestamp: 2020-11-24T16:33:01+00:00
from __future__ import annotations
from typing import List, Optional
from pydantic import BaseModel
class Base(BaseModel):
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class Block(BaseModel):
description: Optional[Optional[str]] = None
objects: Optional[List[Base]] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
+56
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# generated by datamodel-codegen:
# filename: Box.json
# timestamp: 2020-11-24T16:33:02+00:00
from __future__ import annotations
from typing import List, Optional
from pydantic import BaseModel
class Interval(BaseModel):
start: Optional[Optional[float]] = None
end: Optional[Optional[float]] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class Point(BaseModel):
value: Optional[List[float]] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class Vector(BaseModel):
value: Optional[List[float]] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class Plane(BaseModel):
origin: Optional[Point] = None
normal: Optional[Vector] = None
xdir: Optional[Vector] = None
ydir: Optional[Vector] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class Box(BaseModel):
basePlane: Optional[Plane] = None
xSize: Optional[Interval] = None
ySize: Optional[Interval] = None
zSize: Optional[Interval] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
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# generated by datamodel-codegen:
# filename: Circle.json
# timestamp: 2020-11-24T16:33:04+00:00
from __future__ import annotations
from typing import List, Optional
from pydantic import BaseModel
class Interval(BaseModel):
start: Optional[Optional[float]] = None
end: Optional[Optional[float]] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class Point(BaseModel):
value: Optional[List[float]] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class Vector(BaseModel):
value: Optional[List[float]] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class Plane(BaseModel):
origin: Optional[Point] = None
normal: Optional[Vector] = None
xdir: Optional[Vector] = None
ydir: Optional[Vector] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class Circle(BaseModel):
radius: Optional[Optional[float]] = None
plane: Optional[Plane] = None
domain: Optional[Interval] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
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# generated by datamodel-codegen:
# filename: Curve.json
# timestamp: 2020-11-24T16:33:05+00:00
from __future__ import annotations
from typing import List, Optional
from pydantic import BaseModel
class Interval(BaseModel):
start: Optional[Optional[float]] = None
end: Optional[Optional[float]] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class Polyline(BaseModel):
value: Optional[List[float]] = None
closed: Optional[bool] = None
domain: Optional[Interval] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class Curve(BaseModel):
degree: Optional[int] = None
periodic: Optional[bool] = None
rational: Optional[bool] = None
points: Optional[List[float]] = None
weights: Optional[List[float]] = None
knots: Optional[List[float]] = None
domain: Optional[Interval] = None
displayValue: Optional[Polyline] = None
closed: Optional[bool] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
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# generated by datamodel-codegen:
# filename: Ellipse.json
# timestamp: 2020-11-24T16:33:08+00:00
from __future__ import annotations
from typing import List, Optional
from pydantic import BaseModel
class Interval(BaseModel):
start: Optional[Optional[float]] = None
end: Optional[Optional[float]] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class Point(BaseModel):
value: Optional[List[float]] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class Vector(BaseModel):
value: Optional[List[float]] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class Plane(BaseModel):
origin: Optional[Point] = None
normal: Optional[Vector] = None
xdir: Optional[Vector] = None
ydir: Optional[Vector] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class Ellipse(BaseModel):
firstRadius: Optional[Optional[float]] = None
secondRadius: Optional[Optional[float]] = None
plane: Optional[Plane] = None
domain: Optional[Interval] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
+39
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# generated by datamodel-codegen:
# filename: Extrusion.json
# timestamp: 2020-11-24T16:33:09+00:00
from __future__ import annotations
from typing import List, Optional
from pydantic import BaseModel
class Base(BaseModel):
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class Point(BaseModel):
value: Optional[List[float]] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class Extrusion(BaseModel):
length: Optional[Optional[float]] = None
capped: Optional[Optional[bool]] = None
profile: Optional[Base] = None
pathStart: Optional[Point] = None
pathEnd: Optional[Point] = None
pathCurve: Optional[Base] = None
pathTangent: Optional[Base] = None
profiles: Optional[List[Base]] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
+27
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# generated by datamodel-codegen:
# filename: Line.json
# timestamp: 2020-11-24T16:33:16+00:00
from __future__ import annotations
from typing import List, Optional
from pydantic import BaseModel
class Interval(BaseModel):
start: Optional[Optional[float]] = None
end: Optional[Optional[float]] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class Line(BaseModel):
value: Optional[List[float]] = None
domain: Optional[Interval] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
+20
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# generated by datamodel-codegen:
# filename: Mesh.json
# timestamp: 2020-11-24T16:33:16+00:00
from __future__ import annotations
from typing import List, Optional
from pydantic import BaseModel
class Mesh(BaseModel):
vertices: Optional[List[float]] = None
faces: Optional[List[int]] = None
colors: Optional[List[int]] = None
textureCoordinates: Optional[List[float]] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
+36
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# generated by datamodel-codegen:
# filename: Plane.json
# timestamp: 2020-11-24T16:33:19+00:00
from __future__ import annotations
from typing import List, Optional
from pydantic import BaseModel
class Point(BaseModel):
value: Optional[List[float]] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class Vector(BaseModel):
value: Optional[List[float]] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class Plane(BaseModel):
origin: Optional[Point] = None
normal: Optional[Vector] = None
xdir: Optional[Vector] = None
ydir: Optional[Vector] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
+17
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# generated by datamodel-codegen:
# filename: Point.json
# timestamp: 2020-11-24T16:33:20+00:00
from __future__ import annotations
from typing import List, Optional
from pydantic import BaseModel
class Point(BaseModel):
value: Optional[List[float]] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
+32
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# generated by datamodel-codegen:
# filename: Polycurve.json
# timestamp: 2020-11-24T16:33:20+00:00
from __future__ import annotations
from typing import Any, Dict, List, Optional
from pydantic import BaseModel
class ICurve(BaseModel):
__root__: Optional[Dict[str, Any]]
class Interval(BaseModel):
start: Optional[Optional[float]] = None
end: Optional[Optional[float]] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class Polycurve(BaseModel):
segments: Optional[List[ICurve]] = None
domain: Optional[Interval] = None
closed: Optional[bool] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
+28
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# generated by datamodel-codegen:
# filename: Polyline.json
# timestamp: 2020-11-24T16:33:21+00:00
from __future__ import annotations
from typing import List, Optional
from pydantic import BaseModel
class Interval(BaseModel):
start: Optional[Optional[float]] = None
end: Optional[Optional[float]] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class Polyline(BaseModel):
value: Optional[List[float]] = None
closed: Optional[bool] = None
domain: Optional[Interval] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
+17
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# generated by datamodel-codegen:
# filename: Vector.json
# timestamp: 2020-11-24T16:33:36+00:00
from __future__ import annotations
from typing import List, Optional
from pydantic import BaseModel
class Vector(BaseModel):
value: Optional[List[float]] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
+18
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# generated by datamodel-codegen:
# filename: Interval.json
# timestamp: 2020-11-24T16:33:14+00:00
from __future__ import annotations
from typing import Optional
from pydantic import BaseModel
class Interval(BaseModel):
start: Optional[Optional[float]] = None
end: Optional[Optional[float]] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
+27
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# generated by datamodel-codegen:
# filename: Interval2d.json
# timestamp: 2020-11-24T16:33:14+00:00
from __future__ import annotations
from typing import Optional
from pydantic import BaseModel
class Interval(BaseModel):
start: Optional[Optional[float]] = None
end: Optional[Optional[float]] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class Interval2d(BaseModel):
u: Optional[Interval] = None
v: Optional[Interval] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
@@ -0,0 +1,54 @@
# generated by datamodel-codegen:
# filename: AdaptiveComponent.json
# timestamp: 2020-11-24T16:32:59+00:00
from __future__ import annotations
from typing import Any, Dict, List, Optional
from pydantic import BaseModel
class IGeometry(BaseModel):
__root__: Optional[Dict[str, Any]]
class Mesh(BaseModel):
vertices: Optional[List[float]] = None
faces: Optional[List[int]] = None
colors: Optional[List[int]] = None
textureCoordinates: Optional[List[float]] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class Level(BaseModel):
name: Optional[Optional[str]] = None
elevation: Optional[float] = None
baseGeometry: Optional[IGeometry] = None
displayMesh: Optional[Mesh] = None
type: Optional[Optional[str]] = None
level: Optional[Level] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class AdaptiveComponent(BaseModel):
family: Optional[Optional[str]] = None
flipped: Optional[bool] = None
parameters: Optional[Optional[Dict[str, Any]]] = None
baseGeometry: Optional[IGeometry] = None
displayMesh: Optional[Mesh] = None
type: Optional[Optional[str]] = None
level: Optional[Level] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
Level.update_forward_refs()
+22
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# generated by datamodel-codegen:
# filename: DetailCurve.json
# timestamp: 2020-11-24T16:33:06+00:00
from __future__ import annotations
from typing import Any, Dict, Optional
from pydantic import BaseModel
class ICurve(BaseModel):
__root__: Optional[Dict[str, Any]]
class DetailCurve(BaseModel):
baseCurve: Optional[ICurve] = None
lineStyle: Optional[Optional[str]] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
+94
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# generated by datamodel-codegen:
# filename: DirectShape.json
# timestamp: 2020-11-24T16:33:06+00:00
from __future__ import annotations
from enum import Enum
from typing import Any, Dict, List, Optional
from pydantic import BaseModel
class Category(Enum):
integer_0 = 0
integer_1 = 1
integer_2 = 2
integer_3 = 3
integer_4 = 4
integer_5 = 5
integer_6 = 6
integer_7 = 7
integer_8 = 8
integer_9 = 9
integer_10 = 10
integer_11 = 11
integer_12 = 12
integer_13 = 13
integer_14 = 14
integer_15 = 15
integer_16 = 16
integer_17 = 17
integer_18 = 18
integer_19 = 19
integer_20 = 20
integer_21 = 21
integer_22 = 22
integer_23 = 23
integer_24 = 24
integer_25 = 25
integer_26 = 26
integer_27 = 27
integer_28 = 28
integer_29 = 29
integer_30 = 30
integer_31 = 31
integer_32 = 32
integer_33 = 33
integer_34 = 34
integer_35 = 35
integer_36 = 36
class IGeometry(BaseModel):
__root__: Optional[Dict[str, Any]]
class Mesh(BaseModel):
vertices: Optional[List[float]] = None
faces: Optional[List[int]] = None
colors: Optional[List[int]] = None
textureCoordinates: Optional[List[float]] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class Level(BaseModel):
name: Optional[Optional[str]] = None
elevation: Optional[float] = None
baseGeometry: Optional[IGeometry] = None
displayMesh: Optional[Mesh] = None
type: Optional[Optional[str]] = None
level: Optional[Level] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class DirectShape(BaseModel):
category: Optional[Category] = None
parameters: Optional[Optional[Dict[str, Any]]] = None
baseGeometry: Optional[IGeometry] = None
displayMesh: Optional[Mesh] = None
type: Optional[Optional[str]] = None
level: Optional[Level] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
Level.update_forward_refs()
+66
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# generated by datamodel-codegen:
# filename: FamilyInstance.json
# timestamp: 2020-11-24T16:33:10+00:00
from __future__ import annotations
from typing import Any, Dict, List, Optional
from pydantic import BaseModel
class IGeometry(BaseModel):
__root__: Optional[Dict[str, Any]]
class Mesh(BaseModel):
vertices: Optional[List[float]] = None
faces: Optional[List[int]] = None
colors: Optional[List[int]] = None
textureCoordinates: Optional[List[float]] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class Level(BaseModel):
name: Optional[Optional[str]] = None
elevation: Optional[float] = None
baseGeometry: Optional[IGeometry] = None
displayMesh: Optional[Mesh] = None
type: Optional[Optional[str]] = None
level: Optional[Level] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class Element(BaseModel):
baseGeometry: Optional[IGeometry] = None
displayMesh: Optional[Mesh] = None
type: Optional[Optional[str]] = None
level: Optional[Level] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class FamilyInstance(BaseModel):
family: Optional[Optional[str]] = None
flipped: Optional[bool] = None
host: Optional[Element] = None
parameters: Optional[Optional[Dict[str, Any]]] = None
baseGeometry: Optional[IGeometry] = None
displayMesh: Optional[Mesh] = None
type: Optional[Optional[str]] = None
level: Optional[Level] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
Level.update_forward_refs()
+22
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# generated by datamodel-codegen:
# filename: ModelCurve.json
# timestamp: 2020-11-24T16:33:17+00:00
from __future__ import annotations
from typing import Any, Dict, Optional
from pydantic import BaseModel
class ICurve(BaseModel):
__root__: Optional[Dict[str, Any]]
class ModelCurve(BaseModel):
baseCurve: Optional[ICurve] = None
lineStyle: Optional[Optional[str]] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
+53
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# generated by datamodel-codegen:
# filename: RevitBeam.json
# timestamp: 2020-11-24T16:33:22+00:00
from __future__ import annotations
from typing import Any, Dict, List, Optional
from pydantic import BaseModel
class IGeometry(BaseModel):
__root__: Optional[Dict[str, Any]]
class Mesh(BaseModel):
vertices: Optional[List[float]] = None
faces: Optional[List[int]] = None
colors: Optional[List[int]] = None
textureCoordinates: Optional[List[float]] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class Level(BaseModel):
name: Optional[Optional[str]] = None
elevation: Optional[float] = None
baseGeometry: Optional[IGeometry] = None
displayMesh: Optional[Mesh] = None
type: Optional[Optional[str]] = None
level: Optional[Level] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class RevitBeam(BaseModel):
family: Optional[Optional[str]] = None
parameters: Optional[Optional[Dict[str, Any]]] = None
baseGeometry: Optional[IGeometry] = None
displayMesh: Optional[Mesh] = None
type: Optional[Optional[str]] = None
level: Optional[Level] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
Level.update_forward_refs()
+53
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@@ -0,0 +1,53 @@
# generated by datamodel-codegen:
# filename: RevitBrace.json
# timestamp: 2020-11-24T16:33:22+00:00
from __future__ import annotations
from typing import Any, Dict, List, Optional
from pydantic import BaseModel
class IGeometry(BaseModel):
__root__: Optional[Dict[str, Any]]
class Mesh(BaseModel):
vertices: Optional[List[float]] = None
faces: Optional[List[int]] = None
colors: Optional[List[int]] = None
textureCoordinates: Optional[List[float]] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class Level(BaseModel):
name: Optional[Optional[str]] = None
elevation: Optional[float] = None
baseGeometry: Optional[IGeometry] = None
displayMesh: Optional[Mesh] = None
type: Optional[Optional[str]] = None
level: Optional[Level] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class RevitBrace(BaseModel):
family: Optional[Optional[str]] = None
parameters: Optional[Optional[Dict[str, Any]]] = None
baseGeometry: Optional[IGeometry] = None
displayMesh: Optional[Mesh] = None
type: Optional[Optional[str]] = None
level: Optional[Level] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
Level.update_forward_refs()
+47
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@@ -0,0 +1,47 @@
# generated by datamodel-codegen:
# filename: RevitCategory.json
# timestamp: 2020-11-24T16:33:23+00:00
from __future__ import annotations
from enum import Enum
class RevitCategory(Enum):
integer_0 = 0
integer_1 = 1
integer_2 = 2
integer_3 = 3
integer_4 = 4
integer_5 = 5
integer_6 = 6
integer_7 = 7
integer_8 = 8
integer_9 = 9
integer_10 = 10
integer_11 = 11
integer_12 = 12
integer_13 = 13
integer_14 = 14
integer_15 = 15
integer_16 = 16
integer_17 = 17
integer_18 = 18
integer_19 = 19
integer_20 = 20
integer_21 = 21
integer_22 = 22
integer_23 = 23
integer_24 = 24
integer_25 = 25
integer_26 = 26
integer_27 = 27
integer_28 = 28
integer_29 = 29
integer_30 = 30
integer_31 = 31
integer_32 = 32
integer_33 = 33
integer_34 = 34
integer_35 = 35
integer_36 = 36
+57
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@@ -0,0 +1,57 @@
# generated by datamodel-codegen:
# filename: RevitColumn.json
# timestamp: 2020-11-24T16:33:24+00:00
from __future__ import annotations
from typing import Any, Dict, List, Optional
from pydantic import BaseModel
class IGeometry(BaseModel):
__root__: Optional[Dict[str, Any]]
class Mesh(BaseModel):
vertices: Optional[List[float]] = None
faces: Optional[List[int]] = None
colors: Optional[List[int]] = None
textureCoordinates: Optional[List[float]] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class Level(BaseModel):
name: Optional[Optional[str]] = None
elevation: Optional[float] = None
baseGeometry: Optional[IGeometry] = None
displayMesh: Optional[Mesh] = None
type: Optional[Optional[str]] = None
level: Optional[Level] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class RevitColumn(BaseModel):
family: Optional[Optional[str]] = None
topLevel: Optional[Level] = None
baseOffset: Optional[float] = None
topOffset: Optional[float] = None
parameters: Optional[Optional[Dict[str, Any]]] = None
height: Optional[float] = None
baseGeometry: Optional[IGeometry] = None
displayMesh: Optional[Mesh] = None
type: Optional[Optional[str]] = None
level: Optional[Level] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
Level.update_forward_refs()
+59
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@@ -0,0 +1,59 @@
# generated by datamodel-codegen:
# filename: RevitDuct.json
# timestamp: 2020-11-24T16:33:25+00:00
from __future__ import annotations
from typing import Any, Dict, List, Optional
from pydantic import BaseModel
class IGeometry(BaseModel):
__root__: Optional[Dict[str, Any]]
class Mesh(BaseModel):
vertices: Optional[List[float]] = None
faces: Optional[List[int]] = None
colors: Optional[List[int]] = None
textureCoordinates: Optional[List[float]] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class Level(BaseModel):
name: Optional[Optional[str]] = None
elevation: Optional[float] = None
baseGeometry: Optional[IGeometry] = None
displayMesh: Optional[Mesh] = None
type: Optional[Optional[str]] = None
level: Optional[Level] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class RevitDuct(BaseModel):
family: Optional[Optional[str]] = None
parameters: Optional[Optional[Dict[str, Any]]] = None
width: Optional[float] = None
height: Optional[float] = None
diameter: Optional[float] = None
length: Optional[float] = None
level: Optional[Level] = None
velocity: Optional[float] = None
system: Optional[Optional[str]] = None
baseGeometry: Optional[IGeometry] = None
displayMesh: Optional[Mesh] = None
type: Optional[Optional[str]] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
Level.update_forward_refs()
@@ -0,0 +1,78 @@
# generated by datamodel-codegen:
# filename: RevitExtrusionRoof.json
# timestamp: 2020-11-24T16:33:25+00:00
from __future__ import annotations
from typing import Any, Dict, List, Optional
from pydantic import BaseModel
class ICurve(BaseModel):
__root__: Optional[Dict[str, Any]]
class IGeometry(BaseModel):
__root__: Optional[Dict[str, Any]]
class Interval(BaseModel):
start: Optional[Optional[float]] = None
end: Optional[Optional[float]] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class Line(BaseModel):
value: Optional[List[float]] = None
domain: Optional[Interval] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class Mesh(BaseModel):
vertices: Optional[List[float]] = None
faces: Optional[List[int]] = None
colors: Optional[List[int]] = None
textureCoordinates: Optional[List[float]] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class Level(BaseModel):
name: Optional[Optional[str]] = None
elevation: Optional[float] = None
baseGeometry: Optional[IGeometry] = None
displayMesh: Optional[Mesh] = None
type: Optional[Optional[str]] = None
level: Optional[Level] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class RevitExtrusionRoof(BaseModel):
start: Optional[float] = None
end: Optional[float] = None
referenceLine: Optional[Line] = None
parameters: Optional[Optional[Dict[str, Any]]] = None
holes: Optional[List[ICurve]] = None
baseGeometry: Optional[IGeometry] = None
displayMesh: Optional[Mesh] = None
type: Optional[Optional[str]] = None
level: Optional[Level] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
Level.update_forward_refs()
+57
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@@ -0,0 +1,57 @@
# generated by datamodel-codegen:
# filename: RevitFloor.json
# timestamp: 2020-11-24T16:33:26+00:00
from __future__ import annotations
from typing import Any, Dict, List, Optional
from pydantic import BaseModel
class ICurve(BaseModel):
__root__: Optional[Dict[str, Any]]
class IGeometry(BaseModel):
__root__: Optional[Dict[str, Any]]
class Mesh(BaseModel):
vertices: Optional[List[float]] = None
faces: Optional[List[int]] = None
colors: Optional[List[int]] = None
textureCoordinates: Optional[List[float]] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class Level(BaseModel):
name: Optional[Optional[str]] = None
elevation: Optional[float] = None
baseGeometry: Optional[IGeometry] = None
displayMesh: Optional[Mesh] = None
type: Optional[Optional[str]] = None
level: Optional[Level] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class RevitFloor(BaseModel):
parameters: Optional[Optional[Dict[str, Any]]] = None
holes: Optional[List[ICurve]] = None
baseGeometry: Optional[IGeometry] = None
displayMesh: Optional[Mesh] = None
type: Optional[Optional[str]] = None
level: Optional[Level] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
Level.update_forward_refs()
@@ -0,0 +1,58 @@
# generated by datamodel-codegen:
# filename: RevitFootprintRoof.json
# timestamp: 2020-11-24T16:33:27+00:00
from __future__ import annotations
from typing import Any, Dict, List, Optional
from pydantic import BaseModel
class ICurve(BaseModel):
__root__: Optional[Dict[str, Any]]
class IGeometry(BaseModel):
__root__: Optional[Dict[str, Any]]
class Mesh(BaseModel):
vertices: Optional[List[float]] = None
faces: Optional[List[int]] = None
colors: Optional[List[int]] = None
textureCoordinates: Optional[List[float]] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class Level(BaseModel):
name: Optional[Optional[str]] = None
elevation: Optional[float] = None
baseGeometry: Optional[IGeometry] = None
displayMesh: Optional[Mesh] = None
type: Optional[Optional[str]] = None
level: Optional[Level] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class RevitFootprintRoof(BaseModel):
cutOffLevel: Optional[Level] = None
parameters: Optional[Optional[Dict[str, Any]]] = None
holes: Optional[List[ICurve]] = None
baseGeometry: Optional[IGeometry] = None
displayMesh: Optional[Mesh] = None
type: Optional[Optional[str]] = None
level: Optional[Level] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
Level.update_forward_refs()
+55
View File
@@ -0,0 +1,55 @@
# generated by datamodel-codegen:
# filename: RevitLevel.json
# timestamp: 2020-11-24T16:33:28+00:00
from __future__ import annotations
from typing import Any, Dict, List, Optional
from pydantic import BaseModel
class IGeometry(BaseModel):
__root__: Optional[Dict[str, Any]]
class Mesh(BaseModel):
vertices: Optional[List[float]] = None
faces: Optional[List[int]] = None
colors: Optional[List[int]] = None
textureCoordinates: Optional[List[float]] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class Level(BaseModel):
name: Optional[Optional[str]] = None
elevation: Optional[float] = None
baseGeometry: Optional[IGeometry] = None
displayMesh: Optional[Mesh] = None
type: Optional[Optional[str]] = None
level: Optional[Level] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class RevitLevel(BaseModel):
createView: Optional[bool] = None
parameters: Optional[Optional[Dict[str, Any]]] = None
name: Optional[Optional[str]] = None
elevation: Optional[float] = None
baseGeometry: Optional[IGeometry] = None
displayMesh: Optional[Mesh] = None
type: Optional[Optional[str]] = None
level: Optional[Level] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
Level.update_forward_refs()
+68
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@@ -0,0 +1,68 @@
# generated by datamodel-codegen:
# filename: RevitRoom.json
# timestamp: 2020-11-24T16:33:28+00:00
from __future__ import annotations
from typing import Any, Dict, List, Optional
from pydantic import BaseModel
class ICurve(BaseModel):
__root__: Optional[Dict[str, Any]]
class IGeometry(BaseModel):
__root__: Optional[Dict[str, Any]]
class Mesh(BaseModel):
vertices: Optional[List[float]] = None
faces: Optional[List[int]] = None
colors: Optional[List[int]] = None
textureCoordinates: Optional[List[float]] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class Point(BaseModel):
value: Optional[List[float]] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class Level(BaseModel):
name: Optional[Optional[str]] = None
elevation: Optional[float] = None
baseGeometry: Optional[IGeometry] = None
displayMesh: Optional[Mesh] = None
type: Optional[Optional[str]] = None
level: Optional[Level] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class RevitRoom(BaseModel):
basePoint: Optional[Point] = None
number: Optional[Optional[str]] = None
area: Optional[float] = None
volume: Optional[float] = None
holes: Optional[List[ICurve]] = None
baseGeometry: Optional[IGeometry] = None
displayMesh: Optional[Mesh] = None
type: Optional[Optional[str]] = None
level: Optional[Level] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
Level.update_forward_refs()
+53
View File
@@ -0,0 +1,53 @@
# generated by datamodel-codegen:
# filename: RevitShaft.json
# timestamp: 2020-11-24T16:33:29+00:00
from __future__ import annotations
from typing import Any, Dict, List, Optional
from pydantic import BaseModel
class IGeometry(BaseModel):
__root__: Optional[Dict[str, Any]]
class Mesh(BaseModel):
vertices: Optional[List[float]] = None
faces: Optional[List[int]] = None
colors: Optional[List[int]] = None
textureCoordinates: Optional[List[float]] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class Level(BaseModel):
name: Optional[Optional[str]] = None
elevation: Optional[float] = None
baseGeometry: Optional[IGeometry] = None
displayMesh: Optional[Mesh] = None
type: Optional[Optional[str]] = None
level: Optional[Level] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class RevitShaft(BaseModel):
topLevel: Optional[Level] = None
parameters: Optional[Optional[Dict[str, Any]]] = None
baseGeometry: Optional[IGeometry] = None
displayMesh: Optional[Mesh] = None
type: Optional[Optional[str]] = None
level: Optional[Level] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
Level.update_forward_refs()
+28
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@@ -0,0 +1,28 @@
# generated by datamodel-codegen:
# filename: RevitTopography.json
# timestamp: 2020-11-24T16:33:30+00:00
from __future__ import annotations
from typing import List, Optional
from pydantic import BaseModel
class Mesh(BaseModel):
vertices: Optional[List[float]] = None
faces: Optional[List[int]] = None
colors: Optional[List[int]] = None
textureCoordinates: Optional[List[float]] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class RevitTopography(BaseModel):
baseGeometry: Optional[Mesh] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
+11
View File
@@ -0,0 +1,11 @@
# generated by datamodel-codegen:
# filename: RevitUtils.json
# timestamp: 2020-11-24T16:33:30+00:00
from __future__ import annotations
from pydantic import BaseModel
class RevitUtils(BaseModel):
pass
@@ -0,0 +1,64 @@
# generated by datamodel-codegen:
# filename: RevitVerticalOpening.json
# timestamp: 2020-11-24T16:33:31+00:00
from __future__ import annotations
from typing import Any, Dict, List, Optional
from pydantic import BaseModel
class IGeometry(BaseModel):
__root__: Optional[Dict[str, Any]]
class Mesh(BaseModel):
vertices: Optional[List[float]] = None
faces: Optional[List[int]] = None
colors: Optional[List[int]] = None
textureCoordinates: Optional[List[float]] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class Level(BaseModel):
name: Optional[Optional[str]] = None
elevation: Optional[float] = None
baseGeometry: Optional[IGeometry] = None
displayMesh: Optional[Mesh] = None
type: Optional[Optional[str]] = None
level: Optional[Level] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class Element(BaseModel):
baseGeometry: Optional[IGeometry] = None
displayMesh: Optional[Mesh] = None
type: Optional[Optional[str]] = None
level: Optional[Level] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class RevitVerticalOpening(BaseModel):
host: Optional[Element] = None
parameters: Optional[Optional[Dict[str, Any]]] = None
baseGeometry: Optional[IGeometry] = None
displayMesh: Optional[Mesh] = None
type: Optional[Optional[str]] = None
level: Optional[Level] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
Level.update_forward_refs()
+45
View File
@@ -0,0 +1,45 @@
# generated by datamodel-codegen:
# filename: RevitWall.json
# timestamp: 2020-11-24T16:33:32+00:00
from __future__ import annotations
from typing import Any, Dict, List, Optional
from pydantic import BaseModel
class IGeometry(BaseModel):
__root__: Optional[Dict[str, Any]]
class Mesh(BaseModel):
vertices: Optional[List[float]] = None
faces: Optional[List[int]] = None
colors: Optional[List[int]] = None
textureCoordinates: Optional[List[float]] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class Level(BaseModel):
name: Optional[Optional[str]] = None
elevation: Optional[float] = None
baseGeometry: Optional[IGeometry] = None
displayMesh: Optional[Mesh] = None
type: Optional[Optional[str]] = None
level: Optional[Level] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class RevitWall(BaseModel):
topLevel: Optional[Level] = None
parameters: Optional[Optional[Dict[str, Any]]] = None
Level.update_forward_refs()
@@ -0,0 +1,58 @@
# generated by datamodel-codegen:
# filename: RevitWallOpening.json
# timestamp: 2020-11-24T16:33:33+00:00
from __future__ import annotations
from typing import Any, Dict, List, Optional
from pydantic import BaseModel
class IGeometry(BaseModel):
__root__: Optional[Dict[str, Any]]
class Mesh(BaseModel):
vertices: Optional[List[float]] = None
faces: Optional[List[int]] = None
colors: Optional[List[int]] = None
textureCoordinates: Optional[List[float]] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class Level(BaseModel):
name: Optional[Optional[str]] = None
elevation: Optional[float] = None
baseGeometry: Optional[IGeometry] = None
displayMesh: Optional[Mesh] = None
type: Optional[Optional[str]] = None
level: Optional[Level] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
class RevitWall(BaseModel):
topLevel: Optional[Level] = None
parameters: Optional[Optional[Dict[str, Any]]] = None
class RevitWallOpening(BaseModel):
host: Optional[RevitWall] = None
parameters: Optional[Optional[Dict[str, Any]]] = None
baseGeometry: Optional[IGeometry] = None
displayMesh: Optional[Mesh] = None
type: Optional[Optional[str]] = None
level: Optional[Level] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
Level.update_forward_refs()
@@ -0,0 +1,22 @@
# generated by datamodel-codegen:
# filename: RoomBoundaryLine.json
# timestamp: 2020-11-24T16:33:35+00:00
from __future__ import annotations
from typing import Any, Dict, Optional
from pydantic import BaseModel
class ICurve(BaseModel):
__root__: Optional[Dict[str, Any]]
class RoomBoundaryLine(BaseModel):
baseCurve: Optional[ICurve] = None
parameters: Optional[Optional[Dict[str, Any]]] = None
id: Optional[Optional[str]] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[Optional[str]] = None
speckle_type: Optional[Optional[str]] = None
-24
View File
@@ -1,24 +0,0 @@
"""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",
]
-406
View File
@@ -1,406 +0,0 @@
"""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, Tuple, 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.models import Branch
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 autenticate 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
commit = self.speckle_client.commit.get(
self.automation_run_data.project_id, version_id
)
if not commit.referencedObject:
raise ValueError("The commit has no referencedObject, cannot receive it.")
base = operations.receive(
commit.referencedObject, self._server_transport, self._memory_transport
)
print(
f"It took {self.elapsed():.2f} seconds to receive",
f" the speckle version {version_id}",
)
return base
def create_new_version_in_project(
self, root_object: Base, model_name: str, version_message: str = ""
) -> Tuple[str, str]:
"""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): For now please use a `branchName`!
version_message (str): The message for the new version.
"""
branch = self.speckle_client.branch.get(
self.automation_run_data.project_id, model_name, 1
)
if isinstance(branch, Branch):
if not branch.id:
raise ValueError("Cannot use the branch without its id")
matching_trigger = [
t
for t in self.automation_run_data.triggers
if t.payload.model_id == branch.id
]
if matching_trigger:
raise ValueError(
f"The target model: {model_name} cannot match the model"
f" that triggered this automation:"
f" {matching_trigger[0].payload.model_id}"
)
model_id = branch.id
else:
# we just check if it exists
branch_create = self.speckle_client.branch.create(
self.automation_run_data.project_id,
model_name,
)
if isinstance(branch_create, Exception):
raise branch_create
model_id = branch_create
root_object_id = operations.send(
root_object,
[self._server_transport, self._memory_transport],
use_default_cache=False,
)
version_id = self.speckle_client.commit.create(
stream_id=self.automation_run_data.project_id,
object_id=root_object_id,
branch_name=model_name,
message=version_message,
source_application="SpeckleAutomate",
)
if isinstance(version_id, SpeckleException):
raise version_id
self._automation_result.result_versions.append(version_id)
return model_id, version_id
@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(
$functionRunId: String!
$status: AutomateRunStatus!
$statusMessage: String
$results: JSONObject
$contextView: String
){
automateFunctionRunStatusReport(input: {
functionRunId: $functionRunId
status: $status
statusMessage: $statusMessage
contextView: $contextView
results: $results
})
}
"""
)
if self.run_status in [AutomationStatus.SUCCEEDED, AutomationStatus.FAILED]:
object_results = {
"version": 1,
"values": {
"objectResults": self._automation_result.model_dump(by_alias=True)[
"objectResults"
],
"blobIds": self._automation_result.blobs,
},
}
else:
object_results = None
params = {
"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]) -> None:
"""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: open(str(path_obj), "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]
)
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,
object_ids: Union[str, List[str]],
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.
If the error cause has already created an error case,
the error will be extended with a new case refering to the causing objects.
Args:
error_tag (str): A short tag for the error type.
causing_object_ids (str[]): A list of object_id-s that are causing the error
error_messagge (Optional[str]): Optional error message.
metadata: User provided metadata key value pairs
visual_overrides: Case specific 3D visual overrides.
"""
self.attach_result_to_objects(
ObjectResultLevel.ERROR,
category,
object_ids,
message,
metadata,
visual_overrides,
)
def attach_warning_to_objects(
self,
category: str,
object_ids: Union[str, List[str]],
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."""
self.attach_result_to_objects(
ObjectResultLevel.WARNING,
category,
object_ids,
message,
metadata,
visual_overrides,
)
def attach_info_to_objects(
self,
category: str,
object_ids: Union[str, List[str]],
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."""
self.attach_result_to_objects(
ObjectResultLevel.INFO,
category,
object_ids,
message,
metadata,
visual_overrides,
)
def attach_result_to_objects(
self,
level: ObjectResultLevel,
category: str,
object_ids: Union[str, List[str]],
message: Optional[str] = None,
metadata: Optional[Dict[str, Any]] = None,
visual_overrides: Optional[Dict[str, Any]] = None,
) -> None:
if isinstance(object_ids, list):
if len(object_ids) < 1:
raise ValueError(
f"Need atleast one object_id to report a(n) {level.value.upper()}"
)
id_list = object_ids
else:
id_list = [object_ids]
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_ids=id_list,
message=message,
metadata=metadata,
visual_overrides=visual_overrides,
)
)
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"""Some useful helpers for working with automation data."""
import secrets
import string
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)
def crypto_random_string(length: int) -> str:
"""Generate a semi crypto random string of a given length."""
alphabet = string.ascii_letters + string.digits
return "".join(secrets.choice(alphabet) for _ in range(length)).lower()
__all__ = [
"test_automation_environment",
"test_automation_token",
"speckle_client",
"test_automation_run",
"test_automation_run_data",
]
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"""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
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@@ -1,97 +0,0 @@
""""""
from enum import Enum
from typing import Any, Dict, List, Literal, Optional
from pydantic import BaseModel, ConfigDict, Field
from stringcase import camelcase
class AutomateBase(BaseModel):
"""Use this class as a base model for automate related DTO."""
model_config = ConfigDict(alias_generator=camelcase, 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=camelcase, 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=camelcase, 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."""
INFO = "INFO"
WARNING = "WARNING"
ERROR = "ERROR"
class ResultCase(AutomateBase):
"""A result case."""
category: str
level: ObjectResultLevel
object_ids: List[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)
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@@ -1,3 +0,0 @@
from specklepy import objects
__all__ = ["objects"]
-160
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@@ -1,160 +0,0 @@
from deprecated import deprecated
from specklepy.api.credentials import Account
from specklepy.api.resources import (
active_user,
branch,
commit,
object,
other_user,
server,
stream,
subscriptions,
user,
)
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.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 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 = "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 = server.Resource(
account=self.account, basepath=self.url, client=self.httpclient
)
server_version = None
try:
server_version = self.server.version()
except Exception:
pass
self.user = user.Resource(
account=self.account,
basepath=self.url,
client=self.httpclient,
server_version=server_version,
)
self.other_user = other_user.Resource(
account=self.account,
basepath=self.url,
client=self.httpclient,
server_version=server_version,
)
self.active_user = active_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,
)
@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
"""
metrics.track(
metrics.SDK, self.account, {"name": "Client Authenticate_deprecated"}
)
return super().authenticate(token)
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)
-73
View File
@@ -1,73 +0,0 @@
from typing import List, Optional
# 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 StreamWrapper # noqa: F401
from specklepy.core.api.credentials import Account, UserInfo # noqa: F401
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: Optional[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
"""
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: Optional[str] = None) -> Optional[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 = 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) -> 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

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