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Author SHA1 Message Date
izzy lyseggen 3246edda8f feat(objects): add value property to points 2021-06-17 18:23:35 +01:00
232 changed files with 4985 additions and 20307 deletions
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version: 2.1
# Define the jobs we want to run for this project
orbs:
python: circleci/python@1.3.2
jobs:
build:
docker:
- image: cimg/base:2023.03
- image: "cimg/python:<<parameters.tag>>"
- image: "circleci/node:12"
- image: "circleci/redis:6"
- image: "circleci/postgres:12"
environment:
POSTGRES_DB: speckle2_test
POSTGRES_PASSWORD: speckle
POSTGRES_USER: speckle
- image: "speckle/speckle-server:5f8cf11cba07ea6a54000243f9cb343b61cbba13"
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
parameters:
tag:
default: "3.8"
type: string
steps:
- run: echo "so long and thanks for all the fish"
- checkout
- run: python --version
- run:
command: python -m pip install --upgrade pip
name: upgrade pip
- python/install-packages:
pkg-manager: poetry
- run: poetry run pytest --version
deploy:
docker:
- image: "circleci/python:3.8"
steps:
- checkout
- run: poetry build
- run: poetry publish -u specklesystems -p $PYPI_PASSWORD
# Orchestrate our job run sequence
workflows:
build_and_test:
when:
false
main:
jobs:
- build
- build:
matrix:
parameters:
tag: ["3.6", "3.7", "3.8", "3.9"]
publish:
jobs:
- deploy:
filters:
tags:
only: /[0-9]+(\.[0-9]+)*/
branches:
ignore: /.*/ # For testing only! /ci\/.*/
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* text=auto eol=lf
*.{cmd,[cC][mM][dD]} text eol=crlf
*.{bat,[bB][aA][tT]} text eol=crlf
+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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---
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
```
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<!---
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..
-->
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name: "Specklepy test"
on:
workflow_call:
secrets:
CODECOV_TOKEN:
required: true
pull_request:
branches:
- "main"
jobs:
test-internal: # Run integration tests against the internal server image
name: Test (internal)
runs-on: ubuntu-latest
strategy:
matrix:
python-version:
- "3.10"
- "3.11"
- "3.12"
- "3.13"
steps:
- uses: actions/checkout@v4
- name: Install uv and set the python version
uses: astral-sh/setup-uv@v5
with:
python-version: ${{ matrix.python-version }}
enable-cache: true
cache-dependency-glob: "uv.lock"
- name: Install the project
run: uv sync --all-extras --dev
- name: Login to GitHub Container Registry
uses: docker/login-action@v3
with:
registry: "ghcr.io"
username: ${{ github.actor }}
password: ${{ github.token }}
- name: Run Speckle Server
run: docker compose --file docker-compose-internal.yml up --detach --wait
- name: Run tests
run: uv run pytest --cov --cov-report xml:reports/coverage.xml --junitxml=reports/test-results.xml
- uses: codecov/codecov-action@v5
if: matrix.python-version == 3.12
with:
fail_ci_if_error: true # optional (default = false)
files: ./reports/test-results.xml # optional
token: ${{ secrets.CODECOV_TOKEN }}
- name: Minimize uv cache
run: uv cache prune --ci
test-public: # Run integration tests against the public server image
name: Test (public)
runs-on: ubuntu-latest
strategy:
matrix:
python-version:
- "3.10"
- "3.11"
- "3.12"
- "3.13"
steps:
- uses: actions/checkout@v4
- name: Install uv and set the python version
uses: astral-sh/setup-uv@v5
with:
python-version: ${{ matrix.python-version }}
enable-cache: true
cache-dependency-glob: "uv.lock"
- name: Install the project
run: uv sync --all-extras --dev
- uses: actions/cache@v3
with:
path: ~/.cache/pre-commit/
key: ${{ hashFiles('.pre-commit-config.yaml') }}
- name: Run pre-commit
run: uv run pre-commit run --all-files
- name: Run Speckle Server
run: docker compose --file docker-compose.yml up --detach --wait
- name: Run tests
run: uv run pytest --cov --cov-report xml:reports/coverage.xml --junitxml=reports/test-results.xml
- name: Minimize uv cache
run: uv cache prune --ci
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name: "Publish Python Package"
on:
push:
branches:
- "main"
tags:
- "3.*.*"
jobs:
test:
uses: "./.github/workflows/pr.yml"
secrets:
CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}
publish-package:
name: "Build and Publish Python Package"
runs-on: ubuntu-latest
needs: test
# set the environment based on what triggered the workflow
environment:
name: ${{ github.ref_type == 'tag' && 'pypi' || 'testpypi' }}
permissions:
id-token: write
steps:
- name: "Install uv"
uses: astral-sh/setup-uv@v5
- name: "Checkout code"
uses: actions/checkout@v4
with:
fetch-depth: 0
- name: "Build package artifacts"
run: uv build
# Logic for TestPyPI (on main branch push)
- name: "Publish to TestPyPI"
if: ${{ github.ref_type == 'branch' }}
run: uv publish --index test
- name: "Verify TestPyPI package installation"
if: ${{ github.ref_type == 'branch' }}
run: uv run --index test --with specklepy --no-project -- python -c "import specklepy"
# Logic for PyPI (on v3* tag creation)
- name: "Publish to PyPI"
if: ${{ github.ref_type == 'tag' }}
run: uv publish
- name: "Verify PyPI package installation"
if: ${{ github.ref_type == 'tag' }}
run: uv run --with specklepy --no-project -- python -c "import specklepy"
+1 -7
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.tool-versions
.envrc
reports/
.volumes/
# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
@@ -114,4 +108,4 @@ venv.bak/
# other
scratch.py
settings.json
settings.json
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@@ -1,31 +0,0 @@
repos:
- repo: local
hooks:
# Run the linter.
- id: ruff
name: ruff lint
entry: uv run ruff check --force-exclude
language: system
types_or: [python, pyi]
# Run the formatter.
- id: ruff-format
name: ruff format
entry: uv run ruff format --force-exclude
language: system
types_or: [python, pyi]
- repo: https://github.com/commitizen-tools/commitizen
hooks:
- id: commitizen
- id: commitizen-branch
stages:
- pre-push
rev: v3.13.0
- repo: https://github.com/pre-commit/pre-commit-hooks
rev: v5.0.0
hooks:
- id: end-of-file-fixer
- id: trailing-whitespace
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{
"recommendations": [
"ms-python.python",
"charliermarsh.ruff"
]
}
+5 -8
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@@ -6,20 +6,17 @@
"configurations": [
{
"name": "Python: Current File",
"type": "debugpy",
"type": "python",
"request": "launch",
"program": "${file}",
"console": "integratedTerminal",
"justMyCode": false
},
{
"name": "Pytest",
"type": "debugpy",
"request": "launch",
"module": "pytest",
"args": [],
"name": "Python: Test debug config",
"type": "python",
"request": "test",
"console": "integratedTerminal",
"justMyCode": true
}
]
}
}
+118 -33
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<h1 align="center">
<img src="https://user-images.githubusercontent.com/2679513/131189167-18ea5fe1-c578-47f6-9785-3748178e4312.png" width="150px"/><br/>
Speckle | specklepy 🐍
</h1>
# 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>
[![Twitter Follow](https://img.shields.io/twitter/follow/SpeckleSystems?style=social)](https://twitter.com/SpeckleSystems) [![Community forum users](https://img.shields.io/discourse/users?server=https%3A%2F%2Fdiscourse.speckle.works&style=flat-square&logo=discourse&logoColor=white)](https://discourse.speckle.works) [![website](https://img.shields.io/badge/https://-speckle.systems-royalblue?style=flat-square)](https://speckle.systems) [![docs](https://img.shields.io/badge/docs-speckle.guide-orange?style=flat-square&logo=read-the-docs&logoColor=white)](https://speckle.guide/dev/)
> Speckle is the first AEC data hub that connects with your favorite AEC tools. Speckle exists to overcome the challenges of working in a fragmented industry where communication, creative workflows, and the exchange of data are often hindered by siloed software and processes. It is here to make the industry better.
## Introduction
<h3 align="center">
The Python SDK
</h3>
> ⚠ 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+ ⚠
>
<p align="center">
<a href="https://pypi.org/project/specklepy/"><img alt="PyPI - Version" src="https://img.shields.io/pypi/v/specklepy"></a>
<a href="https://codecov.io/gh/specklesystems/specklepy"><img src="https://codecov.io/gh/specklesystems/specklepy/branch/main/graph/badge.svg?token=8KQFL5N0YF" alt="Codecov"></a>
<a href="https://github.com/specklesystems/specklepy/blob/main/LICENSE"><img alt="License" src="https://img.shields.io/github/license/specklesystems/specklepy"></a>
</p>
## Documentation
# Repo structure
Comprehensive developer and user documentation can be found in our:
## 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.
#### 📚 [Speckle Docs website](https://speckle.guide/dev/)
## Developing & Debugging
### Installation
This project uses uv for dependency management, make sure you follow the official [docs](https://docs.astral.sh/uv/) to get it.
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 create a new virtual environment with uv run `$ uv venv` and follow the instructions on the screen to activate the virtual environment.
To bootstrap the project environment run `$ uv sync`. This will install both the package and dev dependencies.
To bootstrap the project environment run `$ poetry install`. This will create a new virtual-env for the project and install both the package and dev dependencies.
To execute any python script run `$ uv run python my_script.py`
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.
> Alternatively you may roll your own virtual-env with either venv, virtualenv, pyenv-virtualenv etc. Uv will play along an recognize if it is invoked from inside a virtual environment.
To execute any python script run `$ poetry run python my_script.py`
### 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.
> 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.
### 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`
## Overview of functionality
The `SpeckleClient` is the entry point for interacting with the GraphQL API. You'll need to have a running server to use this.
```py
from specklepy.api.client import SpeckleClient
from specklepy.api.credentials import get_default_account, get_local_accounts
all_accounts = get_local_accounts() # get back a list
account = get_default_account()
client = SpeckleClient(host="localhost:3000", use_ssl=False)
# client = SpeckleClient(host="yourserver.com") or whatever your host is
client.authenticate(account.token)
```
Interacting with streams is meant to be intuitive and evocative of PySpeckle 1.0
```py
# get your streams
stream_list = client.stream.list()
# search your streams
results = client.user.search("mech")
# create a stream
new_stream_id = client.stream.create(name="a shiny new stream")
# get a stream
new_stream = client.stream.get(id=new_stream_id)
```
New in 2.0: commits! Here are some basic commit interactions.
```py
# get list of commits
commits = client.commit.list("stream id")
# get a specific commit
commit = client.commit.get("stream id", "commit id")
# create a commit
commit_id = client.commit.create("stream id", "object id", "this is a commit message to describe the commit")
# delete a commit
deleted = client.commit.delete("stream id", "commit id")
```
The `BaseObjectSerializer` is used for decomposing and serializing `Base` objects so they can be sent / received to the server. You can use it directly to get the id (hash) and a serializable object representation of the decomposed `Base`. You can learn more about the Speckle `Base` object [here](https://discourse.speckle.works/t/core-2-0-the-base-object/782) and the decomposition API [here](https://discourse.speckle.works/t/core-2-0-decomposition-api/911).
```py
from specklepy.objects.base import Base
from specklepy.serialization.base_object_serializer import BaseObjectSerializer
detached_base = Base()
detached_base.name = "this will get detached"
base_obj = Base()
base_obj.name = "my base"
base_obj["@nested"] = detached_base
serializer = BaseObjectSerializer()
hash, obj_dict = serializer.traverse_base(base_obj)
```
If you use the `operations`, you will not need to interact with the serializer directly as this will be taken care of for you. You will just need to provide a transport to indicate where the objects should be sent / received from. At the moment, just the `MemoryTransport` and the `ServerTransport` are fully functional at the moment. If you'd like to learn more about Transports in Speckle 2.0, have a look [here](https://discourse.speckle.works/t/core-2-0-transports/919).
```py
from specklepy.transports.memory import MemoryTransport
from specklepy.api import operations
transport = MemoryTransport()
# this serialises the object and sends it to the transport
hash = operations.send(base=base_obj, transports=[transport])
# if the object had detached objects, you can see these as well
saved_objects = transport.objects # a dict with the obj hash as the key
# this receives and object from the given transport, deserialises it, and recomposes it into a base object
received_base = operations.receive(obj_id=hash, remote_transport=transport)
```
You can also use the GraphQL API to send and receive objects.
```py
# create a test base object
test_base = Base()
test_base.testing = "a test base obj"
# run it through the serialiser
s = BaseObjectSerializer()
hash, obj = s.traverse_base(test_base)
# send it to the server
objCreate = client.object.create(stream_id="stream id", objects=[obj])
received_base = client.object.get("stream id", hash)
```
This doc is not complete - there's more to see so have a dive into the code and play around! Please feel free to provide feedback, submit issues, or discuss new features ✨
## 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
@@ -62,7 +147,7 @@ The Speckle Community hangs out on [the forum](https://discourse.speckle.works),
## Security
For any security vulnerabilities or concerns, please contact us directly at security[at]speckle.systems.
For any security vulnerabilities or concerns, please contact us directly at security[at]speckle.systems.
## License
-12
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@@ -1,12 +0,0 @@
# 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!
-119
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@@ -1,119 +0,0 @@
name: "speckle-server"
services:
####
# Speckle Server dependencies
#######
postgres:
image: "postgres:16.4-alpine3.20@sha256:d898b0b78a2627cb4ee63464a14efc9d296884f1b28c841b0ab7d7c42f1fffdf"
restart: always
environment:
POSTGRES_DB: speckle
POSTGRES_USER: speckle
POSTGRES_PASSWORD: speckle
volumes:
- ./.volumes/postgres-data:/var/lib/postgresql/data/
healthcheck:
# the -U user has to match the POSTGRES_USER value
test: ["CMD-SHELL", "pg_isready -U speckle"]
interval: 5s
timeout: 5s
retries: 30
redis:
image: "valkey/valkey:8.1-alpine@sha256:0d27f0bca0249f61d060029a6aaf2e16b2c417d68d02a508e1dfb763fa2948b4"
restart: always
volumes:
- ./.volumes/redis-data:/data
healthcheck:
test: ["CMD", "redis-cli", "--raw", "incr", "ping"]
interval: 5s
timeout: 5s
retries: 30
minio:
image: "minio/minio:RELEASE.2023-10-25T06-33-25Z"
command: server /data --console-address ":9001"
restart: always
volumes:
- ./.volumes/minio-data:/data
ports:
- '127.0.0.1:9000:9000'
- '127.0.0.1:9001:9001'
healthcheck:
test:
[
"CMD-SHELL",
"curl -s -o /dev/null http://127.0.0.1:9000/minio/index.html",
]
interval: 5s
timeout: 30s
retries: 30
start_period: 10s
speckle-server:
image: ghcr.io/specklesystems/speckle-server:latest
restart: always
healthcheck:
test:
- CMD
- /nodejs/bin/node
- -e
- "try { require('node:http').request({headers: {'Content-Type': 'application/json'}, port:3000, hostname:'127.0.0.1', path:'/readiness', method: 'GET', timeout: 2000 }, (res) => { body = ''; res.on('data', (chunk) => {body += chunk;}); res.on('end', () => {process.exit(Number(res.statusCode != 200 || body.toLowerCase().includes('error')));}); }).end(); } catch { process.exit(1); }"
interval: 10s
timeout: 10s
retries: 3
start_period: 90s
ports:
- "0.0.0.0:3000:3000"
depends_on:
postgres:
condition: service_healthy
redis:
condition: service_healthy
minio:
condition: service_healthy
environment:
# TODO: Change this to the URL of the speckle server, as accessed from the network
CANONICAL_URL: "http://127.0.0.1:8080"
SPECKLE_AUTOMATE_URL: "http://127.0.0.1:3030"
FRONTEND_ORIGIN: "http://127.0.0.1:8081"
# TODO: Change thvolumes:
REDIS_URL: "redis://redis"
S3_ENDPOINT: "http://minio:9000"
S3_PUBLIC_ENDPOINT: "http://127.0.0.1:9000"
S3_ACCESS_KEY: "minioadmin"
S3_SECRET_KEY: "minioadmin"
S3_BUCKET: "speckle-server"
S3_CREATE_BUCKET: "true"
FILE_SIZE_LIMIT_MB: 100
MAX_PROJECT_MODELS_PER_PAGE: 500
# TODO: Change this to a unique secret for this server
SESSION_SECRET: "TODO:ReplaceWithLongString"
STRATEGY_LOCAL: "true"
DEBUG: "speckle:*"
POSTGRES_URL: "postgres"
POSTGRES_USER: "speckle"
POSTGRES_PASSWORD: "speckle"
POSTGRES_DB: "speckle"
ENABLE_MP: "false"
LOG_PRETTY: "true"
FF_NEXT_GEN_FILE_IMPORTER_ENABLED: "true"
FF_LARGE_FILE_IMPORTS_ENABLED: "true"
networks:
default:
name: speckle-server
volumes:
postgres-data:
redis-data:
minio-data:
-119
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@@ -1,119 +0,0 @@
name: "speckle-server"
services:
####
# Speckle Server dependencies
#######
postgres:
image: "postgres:16.4-alpine3.20@sha256:d898b0b78a2627cb4ee63464a14efc9d296884f1b28c841b0ab7d7c42f1fffdf"
restart: always
environment:
POSTGRES_DB: speckle
POSTGRES_USER: speckle
POSTGRES_PASSWORD: speckle
volumes:
- ./.volumes/postgres-data:/var/lib/postgresql/data/
healthcheck:
# the -U user has to match the POSTGRES_USER value
test: ["CMD-SHELL", "pg_isready -U speckle"]
interval: 5s
timeout: 5s
retries: 30
redis:
image: "valkey/valkey:8.1-alpine@sha256:0d27f0bca0249f61d060029a6aaf2e16b2c417d68d02a508e1dfb763fa2948b4"
restart: always
volumes:
- ./.volumes/redis-data:/data
healthcheck:
test: ["CMD", "redis-cli", "--raw", "incr", "ping"]
interval: 5s
timeout: 5s
retries: 30
minio:
image: "minio/minio:RELEASE.2023-10-25T06-33-25Z"
command: server /data --console-address ":9001"
restart: always
volumes:
- ./.volumes/minio-data:/data
ports:
- '127.0.0.1:9000:9000'
- '127.0.0.1:9001:9001'
healthcheck:
test:
[
"CMD-SHELL",
"curl -s -o /dev/null http://127.0.0.1:9000/minio/index.html",
]
interval: 5s
timeout: 30s
retries: 30
start_period: 10s
speckle-server:
image: speckle/speckle-server:latest
restart: always
healthcheck:
test:
- CMD
- /nodejs/bin/node
- -e
- "try { require('node:http').request({headers: {'Content-Type': 'application/json'}, port:3000, hostname:'127.0.0.1', path:'/readiness', method: 'GET', timeout: 2000 }, (res) => { body = ''; res.on('data', (chunk) => {body += chunk;}); res.on('end', () => {process.exit(Number(res.statusCode != 200 || body.toLowerCase().includes('error')));}); }).end(); } catch { process.exit(1); }"
interval: 10s
timeout: 10s
retries: 3
start_period: 90s
ports:
- "0.0.0.0:3000:3000"
depends_on:
postgres:
condition: service_healthy
redis:
condition: service_healthy
minio:
condition: service_healthy
environment:
# TODO: Change this to the URL of the speckle server, as accessed from the network
CANONICAL_URL: "http://127.0.0.1:8080"
SPECKLE_AUTOMATE_URL: "http://127.0.0.1:3030"
FRONTEND_ORIGIN: "http://127.0.0.1:8081"
# TODO: Change thvolumes:
REDIS_URL: "redis://redis"
S3_ENDPOINT: "http://minio:9000"
S3_PUBLIC_ENDPOINT: "http://127.0.0.1:9000"
S3_ACCESS_KEY: "minioadmin"
S3_SECRET_KEY: "minioadmin"
S3_BUCKET: "speckle-server"
S3_CREATE_BUCKET: "true"
FILE_SIZE_LIMIT_MB: 100
MAX_PROJECT_MODELS_PER_PAGE: 500
# TODO: Change this to a unique secret for this server
SESSION_SECRET: "TODO:ReplaceWithLongString"
STRATEGY_LOCAL: "true"
DEBUG: "speckle:*"
POSTGRES_URL: "postgres"
POSTGRES_USER: "speckle"
POSTGRES_PASSWORD: "speckle"
POSTGRES_DB: "speckle"
ENABLE_MP: "false"
LOG_PRETTY: "true"
FF_NEXT_GEN_FILE_IMPORTER_ENABLED: "true"
FF_LARGE_FILE_IMPORTS_ENABLED: "true"
networks:
default:
name: speckle-server
volumes:
postgres-data:
redis-data:
minio-data:
-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
View File
@@ -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
View File
@@ -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
View File
@@ -1,36 +0,0 @@
from devtools import debug
from specklepy.api import operations
from specklepy.objects_v2.geometry import Base
from specklepy.objects_v2.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)
+4 -5
View File
@@ -1,10 +1,9 @@
"""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
from specklepy.api import operations
from devtools import debug
class ExampleSub(Base):
@@ -51,10 +50,10 @@ if __name__ == "__main__":
)
# support for dynamic attributes
custom_sub.extra_extra = "what is this?"
debug(custom_sub)
debug(custom_sub.json())
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)
debug(deserialized.json())
-6
View File
@@ -1,6 +0,0 @@
[tools]
python = "3.13.7"
[settings]
experimental = true
python.uv_venv_auto = true
Generated
+795
View File
@@ -0,0 +1,795 @@
[[package]]
name = "aiohttp"
version = "3.7.4.post0"
description = "Async http client/server framework (asyncio)"
category = "main"
optional = false
python-versions = ">=3.6"
[package.dependencies]
async-timeout = ">=3.0,<4.0"
attrs = ">=17.3.0"
chardet = ">=2.0,<5.0"
idna-ssl = {version = ">=1.0", markers = "python_version < \"3.7\""}
multidict = ">=4.5,<7.0"
typing-extensions = ">=3.6.5"
yarl = ">=1.0,<2.0"
[package.extras]
speedups = ["aiodns", "brotlipy", "cchardet"]
[[package]]
name = "appdirs"
version = "1.4.4"
description = "A small Python module for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
category = "main"
optional = false
python-versions = "*"
[[package]]
name = "async-timeout"
version = "3.0.1"
description = "Timeout context manager for asyncio programs"
category = "main"
optional = false
python-versions = ">=3.5.3"
[[package]]
name = "atomicwrites"
version = "1.4.0"
description = "Atomic file writes."
category = "dev"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
[[package]]
name = "attrs"
version = "20.3.0"
description = "Classes Without Boilerplate"
category = "main"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
[package.extras]
dev = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six", "zope.interface", "furo", "sphinx", "pre-commit"]
docs = ["furo", "sphinx", "zope.interface"]
tests = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six", "zope.interface"]
tests_no_zope = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six"]
[[package]]
name = "black"
version = "20.8b1"
description = "The uncompromising code formatter."
category = "dev"
optional = false
python-versions = ">=3.6"
[package.dependencies]
appdirs = "*"
click = ">=7.1.2"
dataclasses = {version = ">=0.6", markers = "python_version < \"3.7\""}
mypy-extensions = ">=0.4.3"
pathspec = ">=0.6,<1"
regex = ">=2020.1.8"
toml = ">=0.10.1"
typed-ast = ">=1.4.0"
typing-extensions = ">=3.7.4"
[package.extras]
colorama = ["colorama (>=0.4.3)"]
d = ["aiohttp (>=3.3.2)", "aiohttp-cors"]
[[package]]
name = "certifi"
version = "2021.5.30"
description = "Python package for providing Mozilla's CA Bundle."
category = "main"
optional = false
python-versions = "*"
[[package]]
name = "chardet"
version = "4.0.0"
description = "Universal encoding detector for Python 2 and 3"
category = "main"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
[[package]]
name = "click"
version = "7.1.2"
description = "Composable command line interface toolkit"
category = "dev"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
[[package]]
name = "colorama"
version = "0.4.4"
description = "Cross-platform colored terminal text."
category = "dev"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
[[package]]
name = "dataclasses"
version = "0.8"
description = "A backport of the dataclasses module for Python 3.6"
category = "main"
optional = false
python-versions = ">=3.6, <3.7"
[[package]]
name = "gql"
version = "3.0.0a6"
description = "GraphQL client for Python"
category = "main"
optional = false
python-versions = "*"
[package.dependencies]
aiohttp = {version = ">=3.7.1,<3.8.0", optional = true, markers = "extra == \"all\""}
graphql-core = ">=3.1.5,<3.2"
requests = {version = ">=2.23,<3", optional = true, markers = "extra == \"all\""}
websockets = {version = ">=9,<10", optional = true, markers = "extra == \"all\""}
yarl = ">=1.6,<2.0"
[package.extras]
aiohttp = ["aiohttp (>=3.7.1,<3.8.0)"]
all = ["aiohttp (>=3.7.1,<3.8.0)", "requests (>=2.23,<3)", "websockets (>=9,<10)"]
dev = ["aiohttp (>=3.7.1,<3.8.0)", "requests (>=2.23,<3)", "websockets (>=9,<10)", "black (==19.10b0)", "check-manifest (>=0.42,<1)", "flake8 (==3.8.1)", "isort (==4.3.21)", "mypy (==0.770)", "sphinx (>=3.0.0,<4)", "sphinx_rtd_theme (>=0.4,<1)", "sphinx-argparse (==0.2.5)", "parse (==1.15.0)", "pytest (==5.4.2)", "pytest-asyncio (==0.11.0)", "pytest-cov (==2.8.1)", "mock (==4.0.2)", "vcrpy (==4.0.2)", "aiofiles"]
requests = ["requests (>=2.23,<3)"]
test = ["aiohttp (>=3.7.1,<3.8.0)", "requests (>=2.23,<3)", "websockets (>=9,<10)", "parse (==1.15.0)", "pytest (==5.4.2)", "pytest-asyncio (==0.11.0)", "pytest-cov (==2.8.1)", "mock (==4.0.2)", "vcrpy (==4.0.2)", "aiofiles"]
test_no_transport = ["parse (==1.15.0)", "pytest (==5.4.2)", "pytest-asyncio (==0.11.0)", "pytest-cov (==2.8.1)", "mock (==4.0.2)", "vcrpy (==4.0.2)", "aiofiles"]
websockets = ["websockets (>=9,<10)"]
[[package]]
name = "graphql-core"
version = "3.1.5"
description = "GraphQL implementation for Python, a port of GraphQL.js, the JavaScript reference implementation for GraphQL."
category = "main"
optional = false
python-versions = ">=3.6,<4"
[[package]]
name = "idna"
version = "2.10"
description = "Internationalized Domain Names in Applications (IDNA)"
category = "main"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
[[package]]
name = "idna-ssl"
version = "1.1.0"
description = "Patch ssl.match_hostname for Unicode(idna) domains support"
category = "main"
optional = false
python-versions = "*"
[package.dependencies]
idna = ">=2.0"
[[package]]
name = "importlib-metadata"
version = "3.4.0"
description = "Read metadata from Python packages"
category = "dev"
optional = false
python-versions = ">=3.6"
[package.dependencies]
typing-extensions = {version = ">=3.6.4", markers = "python_version < \"3.8\""}
zipp = ">=0.5"
[package.extras]
docs = ["sphinx", "jaraco.packaging (>=8.2)", "rst.linker (>=1.9)"]
testing = ["pytest (>=3.5,!=3.7.3)", "pytest-checkdocs (>=1.2.3)", "pytest-flake8", "pytest-cov", "pytest-enabler", "packaging", "pep517", "pyfakefs", "flufl.flake8", "pytest-black (>=0.3.7)", "pytest-mypy", "importlib-resources (>=1.3)"]
[[package]]
name = "iniconfig"
version = "1.1.1"
description = "iniconfig: brain-dead simple config-ini parsing"
category = "dev"
optional = false
python-versions = "*"
[[package]]
name = "isort"
version = "5.7.0"
description = "A Python utility / library to sort Python imports."
category = "dev"
optional = false
python-versions = ">=3.6,<4.0"
[package.extras]
pipfile_deprecated_finder = ["pipreqs", "requirementslib"]
requirements_deprecated_finder = ["pipreqs", "pip-api"]
colors = ["colorama (>=0.4.3,<0.5.0)"]
[[package]]
name = "multidict"
version = "5.1.0"
description = "multidict implementation"
category = "main"
optional = false
python-versions = ">=3.6"
[[package]]
name = "mypy-extensions"
version = "0.4.3"
description = "Experimental type system extensions for programs checked with the mypy typechecker."
category = "dev"
optional = false
python-versions = "*"
[[package]]
name = "packaging"
version = "20.9"
description = "Core utilities for Python packages"
category = "dev"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
[package.dependencies]
pyparsing = ">=2.0.2"
[[package]]
name = "pathspec"
version = "0.8.1"
description = "Utility library for gitignore style pattern matching of file paths."
category = "dev"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
[[package]]
name = "pluggy"
version = "0.13.1"
description = "plugin and hook calling mechanisms for python"
category = "dev"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
[package.dependencies]
importlib-metadata = {version = ">=0.12", markers = "python_version < \"3.8\""}
[package.extras]
dev = ["pre-commit", "tox"]
[[package]]
name = "py"
version = "1.10.0"
description = "library with cross-python path, ini-parsing, io, code, log facilities"
category = "dev"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
[[package]]
name = "pydantic"
version = "1.7.3"
description = "Data validation and settings management using python 3.6 type hinting"
category = "main"
optional = false
python-versions = ">=3.6"
[package.dependencies]
dataclasses = {version = ">=0.6", markers = "python_version < \"3.7\""}
[package.extras]
dotenv = ["python-dotenv (>=0.10.4)"]
email = ["email-validator (>=1.0.3)"]
typing_extensions = ["typing-extensions (>=3.7.2)"]
[[package]]
name = "pyparsing"
version = "2.4.7"
description = "Python parsing module"
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{file = "yarl-1.6.3-cp39-cp39-win_amd64.whl", hash = "sha256:4953fb0b4fdb7e08b2f3b3be80a00d28c5c8a2056bb066169de00e6501b986b6"},
{file = "yarl-1.6.3.tar.gz", hash = "sha256:8a9066529240171b68893d60dca86a763eae2139dd42f42106b03cf4b426bf10"},
]
zipp = [
{file = "zipp-3.4.0-py3-none-any.whl", hash = "sha256:102c24ef8f171fd729d46599845e95c7ab894a4cf45f5de11a44cc7444fb1108"},
{file = "zipp-3.4.0.tar.gz", hash = "sha256:ed5eee1974372595f9e416cc7bbeeb12335201d8081ca8a0743c954d4446e5cb"},
]
+42 -90
View File
@@ -1,96 +1,48 @@
[project]
dynamic = ["version"]
# version = "3.0.0a1"
[tool.poetry]
name = "specklepy"
description = "The Python SDK for Speckle"
version = "2.2.3"
description = "The Python SDK for Speckle 2.0"
readme = "README.md"
authors = [{ name = "Speckle Systems", email = "devops@speckle.systems" }]
license = { text = "Apache-2.0" }
requires-python = ">=3.10.0, <4.0"
dependencies = [
"appdirs>=1.4.4",
"attrs>=24.3.0",
"deprecated>=1.2.15",
"gql[requests,websockets]>=3.5.0,<4.0.0",
"httpx>=0.28.1",
"pydantic>=2.10.5",
"pydantic-settings>=2.7.1",
"ujson>=5.10.0",
]
[project.optional-dependencies]
speckleifc = ["ifcopenshell>=0.8.3.post2"]
[dependency-groups]
dev = [
"commitizen>=4.1.0",
"devtools>=0.12.2",
"hatch>=1.14.0",
"hatch-vcs>=0.4.0",
"pre-commit>=4.0.1",
"pytest>=8.3.4",
"pytest-asyncio>=0.25.2",
"pytest-cov>=6.0.0",
"pytest-ordering>=0.6",
"ruff>=0.9.2",
"types-deprecated>=1.2.15.20241117",
"types-requests>=2.32.0.20241016",
"types-ujson>=5.10.0.20240515",
]
[project.urls]
repository = "https://github.com/specklesystems/specklepy"
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/"
[tool.poetry.dependencies]
python = "^3.6.5"
pydantic = "^1.7.3"
appdirs = "^1.4.4"
gql = {version = ">=3.0.0a6", extras = ["all"], allow-prereleases = true}
[tool.poetry.dev-dependencies]
black = "^20.8b1"
isort = "^5.7.0"
pytest = "^6.2.2"
pytest-ordering = "^0.6"
[tool.black]
exclude = '''
/(
\.eggs
| \.git
| \.hg
| \.mypy_cache
| \.tox
| \.venv
| _build
| buck-out
| build
| dist
)/
'''
include = '\.pyi?$'
line-length = 88
target-version = ["py36", "py37", "py38"]
[build-system]
requires = ["hatchling", "hatch-vcs"]
build-backend = "hatchling.build"
[tool.hatch.version]
source = "vcs"
[tool.hatch.build.targets.wheel]
only-include = ["src", "licenses"]
sources = ["src"]
[tool.hatch.build.targets.sdist]
include = ["src", "licenses"]
[tool.hatch.version.raw-options]
local_scheme = "no-local-version"
[tool.commitizen]
name = "cz_conventional_commits"
version = "2.9.2"
tag_format = "$version"
[tool.ruff]
exclude = [".venv", "**/*.yml"]
[tool.ruff.lint]
select = [
# pycodestyle
"E",
# Pyflakes
"F",
# pyupgrade
"UP",
# flake8-bugbear
"B",
# flake8-simplify
"SIM",
# isort
"I",
]
ignore = ["UP006", "UP007", "UP035"]
[[tool.uv.index]]
name = "pypi"
url = "https://pypi.org/simple/"
publish-url = "https://upload.pypi.org/legacy/"
[[tool.uv.index]]
name = "test"
url = "https://test.pypi.org/simple/"
publish-url = "https://test.pypi.org/legacy/"
requires = ["poetry-core>=1.0.0"]
build-backend = "poetry.core.masonry.api"
+115
View File
@@ -0,0 +1,115 @@
import re
from gql.client import SyncClientSession
from specklepy.logging.exceptions import SpeckleException
from typing import Dict
from specklepy.api import resources
from specklepy.api.resources import (
branch,
commit,
stream,
object,
server,
user,
subscriptions,
)
from specklepy.api.models import ServerInfo
from gql import Client, gql
from gql.transport.requests import RequestsHTTPTransport
from gql.transport.aiohttp import AIOHTTPTransport
from gql.transport.websockets import WebsocketsTransport
class SpeckleClient:
DEFAULT_HOST = "speckle.xyz"
USE_SSL = True
def __init__(self, host: str = DEFAULT_HOST, use_ssl: bool = USE_SSL) -> None:
ws_protocol = "ws"
http_protocol = "http"
if use_ssl:
ws_protocol = "wss"
http_protocol = "https"
# sanitise host input by removing protocol and trailing slash
host = re.sub(r"((^\w+:|^)\/\/)|(\/$)", "", host)
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()
# Check compatibility with the server
try:
serverInfo = self.server.get()
if not isinstance(serverInfo, ServerInfo):
raise Exception("Couldn't get ServerInfo")
except Exception as ex:
raise SpeckleException(f"{self.url} is not a compatible Speckle Server", ex)
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.commit = commit.Resource(
me=self.me, basepath=self.url, client=self.httpclient
)
self.branch = branch.Resource(
me=self.me, basepath=self.url, client=self.httpclient
)
self.object = object.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"
)
+81
View File
@@ -0,0 +1,81 @@
import os
from typing import List, Optional
from pydantic import BaseModel
from specklepy.api.models import ServerInfo
from specklepy.transports.sqlite import SQLiteTransport
from specklepy.logging.exceptions import SpeckleException
class UserInfo(BaseModel):
name: str
email: str
company: Optional[str]
id: str
class Account(BaseModel):
isDefault: bool = None
token: str
refreshToken: str = None
serverInfo: ServerInfo
userInfo: UserInfo
id: str = None
def __repr__(self) -> str:
return f"Account(email: {self.userInfo.email}, server: {self.serverInfo.url}, isDefault: {self.isDefault})"
def __str__(self) -> str:
return self.__repr__()
def get_local_accounts(base_path: str = None) -> List[Account]:
"""Gets all the accounts present in this environment
Arguments:
base_path {str} -- custom base path if you are not using the system default
Returns:
List[Account] -- list of all local accounts or an empty list if no accounts were found
"""
account_storage = SQLiteTransport(scope="Accounts", base_path=base_path)
json_path = os.path.join(account_storage._base_path, "Accounts")
os.makedirs(json_path, exist_ok=True)
json_acct_files = [file for file in os.listdir(json_path) if file.endswith(".json")]
accounts = []
res = account_storage.get_all_objects()
if res:
accounts.extend(Account.parse_raw(r[1]) for r in res)
if json_acct_files:
try:
accounts.extend(
Account.parse_file(os.path.join(json_path, json_file))
for json_file in json_acct_files
)
except Exception as ex:
raise SpeckleException(
"Invalid json accounts could not be read. Please fix or remove them.",
ex,
)
return accounts
def get_default_account(base_path: str = None) -> Account:
"""Gets this environment's default account if any. If there is no default, the first found will be returned and set as default.
Arguments:
base_path {str} -- custom base path if you are not using the system default
Returns:
Account -- the default account or None if no local accounts were found
"""
accounts = get_local_accounts(base_path=base_path)
if not accounts:
return None
default = next((acc for acc in accounts if acc.isDefault), None)
if not default:
default = accounts[0]
default.isDefault = True
return default
+118
View File
@@ -0,0 +1,118 @@
# generated by datamodel-codegen:
# filename: stream_schema.json
# timestamp: 2020-11-17T14:33:13+00:00
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]
sourceApplication: Optional[str]
referencedObject: Optional[str]
totalChildrenCount: Optional[int]
parents: Optional[List[str]]
def __repr__(self) -> str:
return f"Commit( id: {self.id}, message: {self.message}, referencedObject: {self.referencedObject}, authorName: {self.authorName}, createdAt: {self.createdAt} )"
def __str__(self) -> str:
return self.__repr__()
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 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]
def __repr__(self):
return f"Stream( id: {self.id}, name: {self.name}, description: {self.description}, isPublic: {self.isPublic})"
def __str__(self) -> str:
return self.__repr__()
class Streams(BaseModel):
totalCount: Optional[int]
cursor: Optional[datetime]
items: List[Stream] = []
class User(BaseModel):
id: Optional[str]
email: Optional[str]
name: Optional[str]
bio: Optional[str]
company: Optional[str]
avatar: Optional[str]
verified: Optional[bool]
role: Optional[str]
streams: Optional[Streams]
def __repr__(self):
return f"User( id: {self.id}, name: {self.name}, email: {self.email}, company: {self.company} )"
def __str__(self) -> str:
return self.__repr__()
class ServerInfo(BaseModel):
name: Optional[str]
company: Optional[str]
url: Optional[str]
description: Optional[str]
adminContact: Optional[str]
canonicalUrl: Optional[str]
roles: Optional[List[dict]]
scopes: Optional[List[dict]]
authStrategies: Optional[List[dict]]
version: Optional[str]
@@ -1,16 +1,16 @@
from typing import List, Optional
# from specklepy.logging import metrics
from specklepy.logging.exceptions import SpeckleException
import json
from typing import List
from specklepy.objects.base import Base
from specklepy.serialization.base_object_serializer import BaseObjectSerializer
from specklepy.transports.abstract_transport import AbstractTransport
from specklepy.transports.sqlite import SQLiteTransport
from specklepy.transports.server import ServerTransport
from specklepy.logging.exceptions import SpeckleException
from specklepy.transports.abstract_transport import AbstractTransport
from specklepy.serialization.base_object_serializer import BaseObjectSerializer
def send(
base: Base,
transports: Optional[List[AbstractTransport]] = None,
transports: List[AbstractTransport] = [],
use_default_cache: bool = True,
):
"""Sends an object via the provided transports. Defaults to the local cache.
@@ -18,70 +18,59 @@ def send(
Arguments:
obj {Base} -- the object you want to send
transports {list} -- where you want to send them
use_default_cache {bool} -- toggle for the default cache.
If set to false, it will only send to the provided transports
use_default_cache {bool} -- toggle for the default cache. If set to false, it will only send to the provided transports
Returns:
str -- the object id of the sent object
"""
if not transports and not use_default_cache:
raise SpeckleException(
message=(
"You need to provide at least one transport: cannot send with an empty"
" transport list and no default cache"
)
message="You need to provide at least one transport: cannot send with an empty transport list and no default cache"
)
if isinstance(transports, AbstractTransport):
transports = [transports]
if transports is None:
transports = []
if use_default_cache:
transports.insert(0, SQLiteTransport())
serializer = BaseObjectSerializer(write_transports=transports)
obj_hash, _ = serializer.write_json(base=base)
for t in transports:
t.begin_write()
hash, _ = serializer.write_json(base=base)
return obj_hash
for t in transports:
t.end_write()
return hash
def receive(
obj_id: str,
remote_transport: Optional[AbstractTransport] = None,
local_transport: Optional[AbstractTransport] = None,
remote_transport: AbstractTransport = None,
local_transport: AbstractTransport = None,
) -> Base:
"""Receives an object from a transport.
Arguments:
obj_id {str} -- the id of the object to receive
remote_transport {Transport} -- the transport to receive from
local_transport {Transport} -- the local cache to check for existing objects
(defaults to `SQLiteTransport`)
local_transport {Transport} -- the transport to send from
Returns:
Base -- the base object
"""
if not local_transport:
local_transport = SQLiteTransport()
serializer = BaseObjectSerializer(read_transport=local_transport)
# try local transport first. if the parent is there, we assume all the children
# are there and continue with deserialization using the local transport
# try local transport first. if the parent is there, we assume all the children are there and continue wth deserialisation using the local transport
obj_string = local_transport.get_object(obj_id)
if obj_string:
return serializer.read_json(obj_string=obj_string)
if not remote_transport:
raise SpeckleException(
message=(
"Could not find the specified object using the local transport, and you"
" didn't provide a fallback remote from which to pull it."
)
message="Could not find the specified object using the local transport, and you didn't provide a fallback remote from which to pull it."
)
obj_string = remote_transport.copy_object_and_children(
@@ -91,54 +80,37 @@ def receive(
return serializer.read_json(obj_string=obj_string)
def serialize(
base: Base, write_transports: List[AbstractTransport] | None = None
) -> str:
def serialize(base: Base, write_transports: List[AbstractTransport] = []) -> str:
"""
Serialize a base object. If no write transports are provided,
the object will be serialized
Serialize a base object. If no write transports are provided, the object will be serialized
without detaching or chunking any of the attributes.
Arguments:
base {Base} -- the object to serialize
write_transports {List[AbstractTransport]}
-- optional: the transports to write to
write_transports {List[AbstractTransport]} -- optional: the transports to write to
Returns:
str -- the serialized object
"""
if not write_transports:
write_transports = []
serializer = BaseObjectSerializer(write_transports=write_transports)
return serializer.write_json(base)[1]
def deserialize(
obj_string: str, read_transport: Optional[AbstractTransport] = None
obj_string: str, read_transport: AbstractTransport = SQLiteTransport()
) -> Base:
"""
Deserialize a string object into a Base object.
If the object contains referenced child objects that are not stored in the local db,
a read transport needs to be provided in order to recompose
the base with the children objects.
Deserialize a string object into a Base object. If the object contains referenced child objects that are not stored in the local db, a read transport needs to be provided in order to recompose the base with the children objects.
Arguments:
obj_string {str} -- the string object to deserialize
read_transport {AbstractTransport}
-- the transport to fetch children objects from
(defaults to SQLiteTransport)
read_transport {AbstractTransport} -- the transport to fetch children objects from
(defaults to SQLiteTransport)
Returns:
Base -- the deserialized object
"""
if not read_transport:
read_transport = SQLiteTransport()
serializer = BaseObjectSerializer(read_transport=read_transport)
return serializer.read_json(obj_string=obj_string)
__all__ = ["receive", "send", "serialize", "deserialize"]
+76
View File
@@ -0,0 +1,76 @@
from logging import error
from specklepy.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
+13
View File
@@ -0,0 +1,13 @@
from pathlib import Path
import sys
import inspect
import pkgutil
from importlib import import_module
for (_, name, _) in pkgutil.iter_modules(__path__):
imported_module = import_module("." + name, package=__name__)
if hasattr(imported_module, "Resource"):
setattr(sys.modules[__name__], name, imported_module)
+212
View File
@@ -0,0 +1,212 @@
from specklepy.api.resources import stream
from typing import List, Optional
from gql import gql
from pydantic.main import BaseModel
from specklepy.api.resource import ResourceBase
from specklepy.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, stream_id: str, name: str, description: str = "No description provided"
) -> str:
"""Create a new branch on this stream
Arguments:
name {str} -- the name of the new branch
description {str} -- a short description of the branch
Returns:
id {str} -- the newly created branch's id
"""
query = gql(
"""
mutation BranchCreate($branch: BranchCreateInput!) {
branchCreate(branch: $branch)
}
"""
)
params = {
"branch": {
"streamId": stream_id,
"name": name,
"description": description,
}
}
return self.make_request(
query=query, params=params, return_type="branchCreate", parse_response=False
)
def get(self, stream_id: str, name: str, commits_limit: int = 10):
"""Get a branch by name from a stream
Arguments:
stream_id {str} -- the id of the stream to get the branch from
name {str} -- the name of the branch to get
commits_limit {int} -- maximum number of commits to get
Returns:
Branch -- the fetched branch with its latest commits
"""
query = gql(
"""
query BranchGet($stream_id: String!, $name: String!, $commits_limit: Int!) {
stream(id: $stream_id) {
branch(name: $name) {
id,
name,
description,
commits (limit: $commits_limit) {
totalCount,
cursor,
items {
id,
referencedObject,
sourceApplication,
totalChildrenCount,
message,
authorName,
authorId,
branchName,
parents,
createdAt
}
}
}
}
}
"""
)
params = {"stream_id": stream_id, "name": name, "commits_limit": commits_limit}
return self.make_request(
query=query, params=params, return_type=["stream", "branch"]
)
def list(self, stream_id: str, branches_limit: int = 10, commits_limit: int = 10):
"""Get a list of branches from a given stream
Arguments:
stream_id {str} -- the id of the stream to get the branches from
branches_limit {int} -- maximum number of branches to get
commits_limit {int} -- maximum number of commits to get
Returns:
List[Branch] -- the branches on the stream
"""
query = gql(
"""
query BranchesGet($stream_id: String!, $branches_limit: Int!, $commits_limit: Int!) {
stream(id: $stream_id) {
branches(limit: $branches_limit) {
items {
id
name
description
commits(limit: $commits_limit) {
totalCount
items{
id
message
referencedObject
sourceApplication
parents
authorId
authorName
branchName
createdAt
}
}
}
}
}
}
"""
)
params = {
"stream_id": stream_id,
"branches_limit": branches_limit,
"commits_limit": commits_limit,
}
return self.make_request(
query=query, params=params, return_type=["stream", "branches", "items"]
)
def update(
self, stream_id: str, branch_id: str, name: str = None, description: str = None
):
"""Update a branch
Arguments:
stream_id {str} -- the id of the stream containing the branch to update
branch_id {str} -- the id of the branch to update
name {str} -- optional: the updated branch name
description {str} -- optional: the updated branch description
Returns:
bool -- True if update is successfull
"""
query = gql(
"""
mutation BranchUpdate($branch: BranchUpdateInput!) {
branchUpdate(branch: $branch)
}
"""
)
params = {
"branch": {
"streamId": stream_id,
"id": branch_id,
}
}
if name:
params["branch"]["name"] = name
if description:
params["branch"]["description"] = description
return self.make_request(
query=query, params=params, return_type="branchUpdate", parse_response=False
)
def delete(self, stream_id: str, branch_id: str):
"""Delete a branch
Arguments:
stream_id {str} -- the id of the stream containing the branch to delete
branch_id {str} -- the branch to delete
Returns:
bool -- True if deletion is successful
"""
query = gql(
"""
mutation BranchDelete($branch: BranchDeleteInput!) {
branchDelete(branch: $branch)
}
"""
)
params = {"branch": {"streamId": stream_id, "id": branch_id}}
return self.make_request(
query=query, params=params, return_type="branchDelete", parse_response=False
)
+187
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@@ -0,0 +1,187 @@
from typing import Optional, List
from gql import gql
from pydantic.main import BaseModel
from specklepy.api.resource import ResourceBase
from specklepy.api.models import Commit
NAME = "commit"
METHODS = []
class Resource(ResourceBase):
"""API Access class for commits"""
def __init__(self, me, basepath, client) -> None:
super().__init__(
me=me, basepath=basepath, client=client, name=NAME, methods=METHODS
)
self.schema = Commit
def get(self, stream_id: str, commit_id: str) -> Commit:
"""
Gets a commit given a stream and the commit id
Arguments:
stream_id {str} -- the stream where we can find the commit
commit_id {str} -- the id of the commit you want to get
Returns:
Commit -- the retrieved commit object
"""
query = gql(
"""
query Commit($stream_id: String!, $commit_id: String!) {
stream(id: $stream_id) {
commit(id: $commit_id) {
id
referencedObject
message
authorId
authorName
authorAvatar
createdAt
sourceApplication
totalChildrenCount
parents
}
}
}
"""
)
params = {"stream_id": stream_id, "commit_id": commit_id}
return self.make_request(
query=query, params=params, return_type=["stream", "commit"]
)
def list(self, stream_id: str, limit: int = 10) -> List[Commit]:
"""
Get a list of commits on a given stream
Arguments:
stream_id {str} -- the stream where the commits are
limit {int} -- the maximum number of commits to fetch (default = 10)
Returns:
List[Commit] -- a list of the most recent commit objects
"""
query = gql(
"""
query Commits($stream_id: String!, $limit: Int!) {
stream(id: $stream_id) {
commits(limit: $limit) {
items {
id
message
referencedObject
authorName
authorId
authorName
authorAvatar
createdAt
sourceApplication
totalChildrenCount
parents
}
}
}
}
"""
)
params = {"stream_id": stream_id, "limit": limit}
return self.make_request(
query=query, params=params, return_type=["stream", "commits", "items"]
)
def create(
self,
stream_id: str,
object_id: str,
branch_name: str = "main",
message: str = "",
source_application: str = "python",
parents: List[str] = None,
) -> str:
"""
Creates a commit on a branch
Arguments:
stream_id {str} -- the stream you want to commit to
object_id {str} -- the hash of your commit object
branch_name {str} -- the name of the branch to commit to (defaults to "main")
message {str} -- optional: a message to give more information about the commit
source_application{str} -- optional: the application from which the commit was created (defaults to "python")
parents {List[str]} -- optional: the id of the parent commits
Returns:
str -- the id of the created commit
"""
query = gql(
"""
mutation CommitCreate ($commit: CommitCreateInput!){ commitCreate(commit: $commit)}
"""
)
params = {
"commit": {
"streamId": stream_id,
"branchName": branch_name,
"objectId": object_id,
"message": message,
"sourceApplication": source_application,
}
}
if parents:
params["commit"]["parents"] = parents
return self.make_request(
query=query, params=params, return_type="commitCreate", parse_response=False
)
def update(self, stream_id: str, commit_id: str, message: str) -> bool:
"""
Update a commit
Arguments:
stream_id {str} -- the id of the stream that contains the commit you'd like to update
commit_id {str} -- the id of the commit you'd like to update
message {str} -- the updated commit message
Returns:
bool -- True if the operation succeeded
"""
query = gql(
"""
mutation CommitUpdate($commit: CommitUpdateInput!){ commitUpdate(commit: $commit)}
"""
)
params = {
"commit": {"streamId": stream_id, "id": commit_id, "message": message}
}
return self.make_request(
query=query, params=params, return_type="commitUpdate", parse_response=False
)
def delete(self, stream_id: str, commit_id: str) -> bool:
"""
Delete a commit
Arguments:
stream_id {str} -- the id of the stream that contains the commit you'd like to delete
commit_id {str} -- the id of the commit you'd like to delete
Returns:
bool -- True if the operation succeeded
"""
query = gql(
"""
mutation CommitDelete($commit: CommitDeleteInput!){ commitDelete(commit: $commit)}
"""
)
params = {"commit": {"streamId": stream_id, "id": commit_id}}
return self.make_request(
query=query, params=params, return_type="commitDelete", parse_response=False
)
+80
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@@ -0,0 +1,80 @@
from typing import Dict, List
from gql import gql
from graphql.language import parser
from specklepy.api.resource import ResourceBase
from specklepy.objects.base import Base
NAME = "object"
METHODS = []
class Resource(ResourceBase):
"""API Access class for objects"""
def __init__(self, me, basepath, client) -> None:
super().__init__(
me=me, basepath=basepath, client=client, name=NAME, methods=METHODS
)
self.schema = Base
def get(self, stream_id: str, object_id: str) -> Base:
"""
Get a stream object
Arguments:
stream_id {str} -- the id of the stream for the object
object_id {str} -- the hash of the object you want to get
Returns:
Base -- the returned Base object
"""
query = gql(
"""
query Object($stream_id: String!, $object_id: String!) {
stream(id: $stream_id) {
id
name
object(id: $object_id) {
id
speckleType
applicationId
createdAt
totalChildrenCount
data
}
}
}
"""
)
params = {"stream_id": stream_id, "object_id": object_id}
return self.make_request(
query=query, params=params, return_type=["stream", "object", "data"]
)
def create(self, stream_id: str, objects: List[Dict]) -> str:
"""
Not advised - generally, you want to use `operations.send()`.
Create a new object on a stream. To send a base object, you can prepare it by running it through the
`BaseObjectSerializer.traverse_base()` function to get a valid (serialisable) object to send.
NOTE: this does not create a commit - you can create one with `SpeckleClient.commit.create`. Dynamic fields will be located in the 'data' dict of the received `Base` object
Arguments:
stream_id {str} -- the id of the stream you want to send the object to
objects {List[Dict]} -- a list of base dictionary objects (NOTE: must be json serialisable)
Returns:
str -- the id of the object
"""
query = gql(
"""
mutation ObjectCreate($object_input: ObjectCreateInput!) { objectCreate(objectInput: $object_input) }
"""
)
params = {"object_input": {"streamId": stream_id, "objects": objects}}
return self.make_request(
query=query, params=params, return_type="objectCreate", parse_response=False
)
@@ -1,24 +1,20 @@
import re
from typing import Any, Dict, List, Tuple
from typing import Dict, List
from gql import gql
from gql.client import Client
from specklepy.api.models import ServerInfo
from specklepy.api.resource import ResourceBase
from specklepy.core.api.models import ServerInfo
from specklepy.core.api.resource import ResourceBase
from specklepy.logging.exceptions import GraphQLException
NAME = "server"
METHODS = ["get", "apps"]
class ServerResource(ResourceBase):
class Resource(ResourceBase):
"""API Access class for the server"""
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
)
def get(self) -> ServerInfo:
@@ -37,6 +33,11 @@ class ServerResource(ResourceBase):
adminContact
canonicalUrl
version
roles {
name
description
resourceTarget
}
scopes {
name
description
@@ -46,54 +47,15 @@ class ServerResource(ResourceBase):
name
icon
}
workspaces {
workspacesEnabled
}
}
}
"""
)
server_info = self.make_request(
return self.make_request(
query=query, return_type="serverInfo", schema=ServerInfo
)
return server_info
def version(self) -> Tuple[Any, ...]:
"""Get the server version
Returns:
the server version in the format (major, minor, patch, (tag, build))
eg (2, 6, 3) for a stable build and (2, 6, 4, 'alpha', 4711) for alpha
"""
# not tracking as it will be called along with other mutations / queries
# as a check
query = gql(
"""
query Server {
serverInfo {
version
}
}
"""
)
ver = self.make_request(
query=query, return_type=["serverInfo", "version"], parse_response=False
)
if isinstance(ver, Exception):
raise GraphQLException(
f"Could not get server version for {self.basepath}", [ver]
)
# pylint: disable=consider-using-generator; (list comp is faster)
return tuple(
[
int(segment) if segment.isdigit() else segment
for segment in re.split(r"\.|-", ver)
]
)
def apps(self) -> Dict:
"""Get the apps registered on the server
+356
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@@ -0,0 +1,356 @@
from typing import Dict, List, Optional
from gql import gql
from specklepy.api.resource import ResourceBase
from specklepy.api.models import Stream
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: $commit_limit) {
totalCount
cursor
items {
id
referencedObject
message
authorName
authorId
createdAt
}
}
}
}
}
}
}
"""
)
params = {
"search_query": search_query,
"limit": limit,
"branch_limit": branch_limit,
"commit_limit": commit_limit,
}
return self.make_request(
query=query, params=params, return_type=["streams", "items"]
)
def grant_permission(self, stream_id: str, user_id: str, role: str):
"""Grant permissions to a user on a given stream
Arguments:
stream_id {str} -- the id of the stream to grant permissions to
user_id {str} -- the id of the user to grant permissions for
role {str} -- the role to grant the user
Returns:
bool -- True if the operation was successful
"""
query = gql(
"""
mutation StreamGrantPermission($permission_params: StreamGrantPermissionInput !) {
streamGrantPermission(permissionParams: $permission_params)
}
"""
)
params = {
"permission_params": {
"streamId": stream_id,
"userId": user_id,
"role": role,
}
}
return self.make_request(
query=query,
params=params,
return_type="streamGrantPermission",
parse_response=False,
)
def revoke_permission(self, stream_id: str, user_id: str):
"""Revoke permissions from a user on a given stream
Arguments:
stream_id {str} -- the id of the stream to revoke permissions from
user_id {str} -- the id of the user to revoke permissions from
Returns:
bool -- True if the operation was successful
"""
query = gql(
"""
mutation StreamRevokePermission($permission_params: StreamRevokePermissionInput !) {
streamRevokePermission(permissionParams: $permission_params)
}
"""
)
params = {"permission_params": {"streamId": stream_id, "userId": user_id}}
return self.make_request(
query=query,
params=params,
return_type="streamRevokePermission",
parse_response=False,
)
+125
View File
@@ -0,0 +1,125 @@
from typing import Callable, Dict, List, Optional, Any
from functools import wraps
from gql import gql
from specklepy.api.resource import ResourceBase
from specklepy.api.resources.stream import Stream
from specklepy.logging.exceptions import GraphQLException, SpeckleException
NAME = "subscribe"
METHODS = [
"stream_added",
"stream_updated",
"stream_removed",
]
def check_wsclient(function):
@wraps(function)
async def check_wsclient_wrapper(self, *args, **kwargs):
if self.client is None:
raise SpeckleException(
"You must authenticate before you can subscribe to events"
)
else:
return await function(self, *args, **kwargs)
return check_wsclient_wrapper
class Resource(ResourceBase):
"""API Access class for subscriptions"""
def __init__(self, me, basepath, client) -> None:
super().__init__(
me=me, basepath=basepath, client=client, name=NAME, methods=METHODS
)
@check_wsclient
async def stream_added(self, callback: Callable = None):
"""Subscribes to new stream added event for your profile. Use this to display an up-to-date list of streams.
Arguments:
callback {Callable[Stream]} -- a function that takes the updated stream as an argument and executes each time a stream is added
Returns:
Stream -- the update stream
"""
query = gql(
"""
subscription { userStreamAdded }
"""
)
return await self.subscribe(
query=query, callback=callback, return_type="userStreamAdded", schema=Stream
)
@check_wsclient
async def stream_updated(self, id: str, callback: Callable = None):
"""Subscribes to stream updated event. Use this in clients/components that pertain only to this stream.
Arguments:
id {str} -- the stream id of the stream to subscribe to
callback {Callable[Stream]} -- a function that takes the updated stream as an argument and executes each time the stream is updated
Returns:
Stream -- the update stream
"""
query = gql(
"""
subscription Update($id: String!) { streamUpdated(streamId: $id) }
"""
)
params = {"id": id}
return await self.subscribe(
query=query,
params=params,
callback=callback,
return_type="streamUpdated",
schema=Stream,
)
@check_wsclient
async def stream_removed(self, callback: Callable = None):
"""Subscribes to stream removed event for your profile. Use this to display an up-to-date list of streams for your profile. NOTE: If someone revokes your permissions on a stream, this subscription will be triggered with an extra value of revokedBy in the payload.
Arguments:
callback {Callable[Dict]} -- a function that takes the returned dict as an argument and executes each time a stream is removed
Returns:
dict -- dict containing 'id' of stream removed and optionally 'revokedBy'
"""
query = gql(
"""
subscription { userStreamRemoved }
"""
)
return await self.subscribe(
query=query,
callback=callback,
return_type="userStreamRemoved",
parse_response=False,
)
@check_wsclient
async def subscribe(
self,
query: 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
async with self.client as session:
async for res in session.subscribe(query, variable_values=params):
res = self._step_into_response(response=res, return_type=return_type)
if parse_response:
res = self._parse_response(response=res, schema=schema)
if callback is not None:
callback(res)
else:
return res
+120
View File
@@ -0,0 +1,120 @@
from specklepy.logging.exceptions import SpeckleException
from typing import List, Optional
from gql import gql
from pydantic.main import BaseModel
from specklepy.api.resource import ResourceBase
from specklepy.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: $limit) {
items {
id
name
bio
company
avatar
verified
}
}
}
"""
)
params = {"search_query": search_query, "limit": limit}
return self.make_request(
query=query, params=params, return_type=["userSearch", "items"]
)
def update(
self, name: str = None, company: str = None, bio: str = None, avatar: str = None
):
"""Updates your user profile. All arguments are optional.
Arguments:
name {str} -- your name
company {str} -- the company you may or may not work for
bio {str} -- tell us about yourself
avatar {str} -- a nice photo of yourself
Returns:
bool -- True if your profile was updated successfully
"""
query = gql(
"""
mutation UserUpdate($user: UserUpdateInput!) {
userUpdate(user: $user)
}
"""
)
params = {"name": name, "company": company, "bio": bio, "avatar": avatar}
params = {"user": {k: v for k, v in params.items() if v is not None}}
if not params["user"]:
return SpeckleException(
message="You must provide at least one field to update your user profile"
)
return self.make_request(
query=query, params=params, return_type="userUpdate", parse_response=False
)
+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 Any, List
class SpeckleException(Exception):
def __init__(self, message: str, exception: Exception = None) -> None:
self.message = message
self.exception = exception
def __str__(self) -> str:
return f"SpeckleException: {self.message}"
class SerializationException(SpeckleException):
def __init__(self, message: str, object: Any, exception: Exception = None) -> None:
super().__init__(message=message)
self.object = object
self.unhandled_type = type(object)
def __str__(self) -> str:
return f"SpeckleException: Could not serialize object of type {self.unhandled_type}"
class GraphQLException(SpeckleException):
def __init__(self, message: str, errors: List, data=None) -> None:
super().__init__(message=message)
self.errors = errors
self.data = data
def __str__(self) -> str:
return f"GraphQLException: {self.message}"
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"""Builtin Speckle object kit."""
from specklepy.objects.base import Base
__all__ = ["Base"]
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from inspect import getattr_static
from pydantic import BaseModel, validator
from pydantic.main import Extra
from typing import ClassVar, Dict, List, Optional, Any, Set, Type
from specklepy.transports.memory import MemoryTransport
from specklepy.logging.exceptions import SpeckleException
from specklepy.objects.units import get_units_from_string
PRIMITIVES = (int, float, str, bool)
class _RegisteringBase(BaseModel):
"""
Private Base model for Speckle types.
This is an implementation detail, please do not use this outside this module.
This class provides automatic registration of `speckle_type` into a global,
(class level) registry for each subclassing type.
The type registry is a base for accurate type based (de)serialization.
"""
speckle_type: ClassVar[str]
_type_registry: ClassVar[Dict[str, Type["Base"]]] = {}
class Config:
validate_assignment = True
@classmethod
def get_registered_type(cls, speckle_type: str) -> Optional[Type["Base"]]:
"""Get the registered type from the protected mapping via the `speckle_type`"""
return cls._type_registry.get(speckle_type, None)
def __init_subclass__(
cls,
speckle_type: Optional[str] = None,
**kwargs: Dict[str, Any],
):
"""
Hook into subclass type creation.
This is provides a mechanism to hook into the event of the subclass type object
initialization. This is reused to register each subclassing type into a class
level dictionary.
"""
if speckle_type in cls._type_registry:
raise ValueError(
f"The speckle_type: {speckle_type} is already registered for type: "
f"{cls._type_registry[speckle_type].__name__}. "
f"Please choose a different type name."
)
cls.speckle_type = speckle_type or cls.__name__
cls._type_registry[cls.speckle_type] = cls # type: ignore
super().__init_subclass__(**kwargs)
class Base(_RegisteringBase):
id: Optional[str] = None
totalChildrenCount: Optional[int] = None
applicationId: Optional[str] = None
_units: str = "m"
_chunkable: Dict[str, int] = {} # dict of chunkable props and their max chunk size
_chunk_size_default: int = 1000
_detachable: Set[str] = set() # list of defined detachable props
def __repr__(self) -> str:
return (
f"{self.__class__.__name__}(id: {self.id}, "
f"speckle_type: {self.speckle_type}, "
f"totalChildrenCount: {self.totalChildrenCount})"
)
def __str__(self) -> str:
return self.__repr__()
def __setitem__(self, name: str, value: Any) -> None:
self.validate_prop_name(name)
self.__dict__[name] = value
def __getitem__(self, name: str) -> Any:
return self.__dict__[name]
def __setattr__(self, name: str, value: Any) -> None:
"""
Guard attribute and property set mechanism.
The `speckle_type` is a protected class attribute it must not be overridden.
"""
if name != "speckle_type":
attr = getattr(self.__class__, name, None)
if isinstance(attr, property):
try:
attr.__set__(self, value)
except AttributeError:
pass # the prop probably doesn't have a setter
super().__setattr__(name, value)
@classmethod
def validate_prop_name(cls, name: str) -> None:
"""Validator for dynamic attribute names."""
if name in ("", "@"):
raise ValueError("Invalid Name: Base member names cannot be empty strings")
if name.startswith("@@"):
raise ValueError(
"Invalid Name: Base member names cannot start with more than one '@'",
)
if "." in name or "/" in name:
raise ValueError(
"Invalid Name: Base member names cannot contain characters '.' or '/'",
)
def add_chunkable_attrs(self, **kwargs: int) -> None:
"""
Mark defined attributes as chunkable for serialisation
Arguments:
kwargs {int} -- the name of the attribute as the keyword and the chunk size as the arg
"""
chunkable = {k: v for k, v in kwargs.items() if isinstance(v, int)}
self._chunkable = dict(self._chunkable, **chunkable)
def add_detachable_attrs(self, names: Set[str]) -> None:
"""
Mark defined attributes as detachable for serialisation
Arguments:
names {Set[str]} -- the names of the attributes to detach as a set of strings
"""
self._detachable = self._detachable.union(names)
@property
def units(self):
return self._units
@units.setter
def units(self, value: str):
self._units = get_units_from_string(value)
def to_dict(self) -> Dict[str, Any]:
"""Convenience method to view the whole base object as a dict"""
base_dict = self.__dict__
for key, value in base_dict.items():
if not value or isinstance(value, PRIMITIVES):
continue
else:
base_dict[key] = self.__dict_helper(value)
return base_dict
def __dict_helper(self, obj: Any) -> Any:
if not obj or isinstance(obj, PRIMITIVES):
return obj
if isinstance(obj, Base):
return self.__dict_helper(obj.__dict__)
if isinstance(obj, (list, set)):
return [self.__dict_helper(v) for v in obj]
if not isinstance(obj, dict):
raise SpeckleException(
message=f"Could not convert to dict due to unrecognized type: {type(obj)}"
)
for k, v in obj.items():
if v and not isinstance(obj, PRIMITIVES):
obj[k] = self.__dict_helper(v)
return obj
def get_member_names(self) -> List[str]:
"""Get all of the property names on this object, dynamic or not"""
attrs = list(self.__dict__.keys())
properties = [
name
for name in dir(self)
if not name.startswith("_")
and name
!= "fields" # soon to be removed as this pydantic prop is depreciated
and isinstance(getattr(self, name, None), property)
]
return attrs + properties
def get_typed_member_names(self) -> List[str]:
"""Get all of the names of the defined (typed) properties of this object"""
return list(self.__fields__.keys())
def get_dynamic_member_names(self) -> List[str]:
"""Get all of the names of the dynamic properties of this object"""
return list(set(self.__dict__.keys()) - set(self.__fields__.keys()))
def get_children_count(self) -> int:
"""Get the total count of children Base objects"""
parsed = []
return 1 + self._count_descendants(self, parsed)
def get_id(self, decompose: bool = False) -> str:
"""
Gets the id (a unique hash) of this object. ⚠️ This method fully serializes the object, which in the case of large objects (with many sub-objects), has a tangible cost. Avoid using it!
Note: the hash of a decomposed object differs from that of a non-decomposed object
Arguments:
decompose {bool} -- if True, will decompose the object in the process of hashing it
Returns:
str -- the hash (id) of the fully serialized object
"""
from specklepy.serialization.base_object_serializer import (
BaseObjectSerializer,
)
serializer = BaseObjectSerializer()
if decompose:
serializer.write_transports = [MemoryTransport()]
return serializer.traverse_base(self)[0]
def _count_descendants(self, base: "Base", parsed: List) -> int:
if base in parsed:
return 0
parsed.append(base)
count = 0
for name, value in base.__dict__.items():
if name.startswith("@"):
continue
else:
count += self._handle_object_count(value, parsed)
return count
def _handle_object_count(self, obj: Any, parsed: List) -> int:
count = 0
if obj is None:
return count
if isinstance(obj, "Base"):
count += 1
count += self._count_descendants(obj, parsed)
return count
elif isinstance(obj, list):
for item in obj:
if isinstance(item, "Base"):
count += 1
count += self._count_descendants(item, parsed)
else:
count += self._handle_object_count(item, parsed)
elif isinstance(obj, dict):
for _, value in obj.items():
if isinstance(value, "Base"):
count += 1
count += self._count_descendants(value, parsed)
else:
count += self._handle_object_count(value, parsed)
return count
class Config:
extra = Extra.allow
class DataChunk(Base, speckle_type="Speckle.Core.Models.DataChunk"):
data: List[Any] = []
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from specklepy.objects.geometry import Point
from typing import List
from .base import Base
CHUNKABLE_PROPS = {
"vertices": 100,
"faces": 100,
"colors": 100,
"textureCoordinates": 100,
"test_bases": 10,
}
DETACHABLE = {"detach_this", "origin", "detached_list"}
class FakeMesh(Base):
vertices: List[float] = None
faces: List[int] = None
colors: List[int] = None
textureCoordinates: List[float] = None
test_bases: List[Base] = None
detach_this: Base = None
detached_list: List[Base] = None
_origin: Point = None
def __init__(self, **kwargs) -> None:
super(FakeMesh, self).__init__(**kwargs)
self.add_chunkable_attrs(**CHUNKABLE_PROPS)
self.add_detachable_attrs(DETACHABLE)
@property
def origin(self):
return self._origin
@origin.setter
def origin(self, value: Point):
self._origin = value
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from .base import Base
from typing import Any, List
GEOMETRY = "Objects.Geometry."
class Interval(Base, speckle_type="Objects.Primitive.Interval"):
start: float = 0
end: float = 0
def length(self):
return abs(self.start - self.end)
class Point(Base, speckle_type=GEOMETRY + "Point"):
x: float = 0
y: float = 0
z: float = 0
def __init__(self, x: float = 0, y: float = 0, z: float = 0, **data: Any) -> None:
super().__init__(**data)
self.x, self.y, self.z = x, y, z
def __repr__(self) -> str:
return f"{self.__class__.__name__}(x: {self.x}, y: {self.y}, z: {self.z}, id: {self.id}, speckle_type: {self.speckle_type})"
@property
def value(self) -> List[float]:
return [self.x, self.y, self.z]
class Vector(Point, speckle_type=GEOMETRY + "Vector"):
pass
class ControlPoint(Point, speckle_type=GEOMETRY + "ControlPoint"):
weight: float = None
class Plane(Base, speckle_type=GEOMETRY + "Plane"):
origin: Point = Point()
normal: Vector = Vector()
xdir: Vector = Vector()
ydir: Vector = Vector()
class Box(Base, speckle_type=GEOMETRY + "Box"):
basePlane: Plane = Plane()
ySize: Interval = Interval()
zSize: Interval = Interval()
xSize: Interval = Interval()
area: float = None
volume: float = None
class Line(Base, speckle_type=GEOMETRY + "Line"):
start: Point = Point()
end: Point = None
domain: Interval = None
bbox: Box = None
length: float = None
class Arc(Base, speckle_type=GEOMETRY + "Arc"):
radius: float = None
startAngle: float = None
endAngle: float = None
angleRadians: float = None
plane: Plane = None
domain: Interval = None
startPoint: Point = None
midPoint: Point = None
endPoint: Point = None
bbox: Box = None
area: float = None
length: float = None
class Circle(Base, speckle_type=GEOMETRY + "Circle"):
radius: float = None
plane: Plane = None
domain: Interval = None
bbox: Box = None
area: float = None
length: float = None
class Ellipse(Base, speckle_type=GEOMETRY + "Ellipse"):
firstRadius: float = None
secondRadius: float = None
plane: Plane = None
domain: Interval = None
trimDomain: Interval = None
bbox: Box = None
area: float = None
length: float = None
class Polyline(Base, speckle_type=GEOMETRY + "Polyline"):
value: List[float] = None
closed: bool = None
domain: Interval = None
bbox: Box = None
area: float = None
length: float = None
def __init__(self, **data: Any) -> None:
super().__init__(**data)
self.add_chunkable_attrs(value=20000)
@classmethod
def from_points(cls, points: List[Point]):
polyline = cls()
polyline.units = points[0].units
for point in points:
polyline.value.extend([point.x, point.y, point.z])
return polyline
# @property
# def value(self) -> List[float]:
# return self._value
# @value.setter
# def value(self, coords) -> None:
# if len(coords) % 3:
# coords.extend([0] * (3 - len(coords) % 3))
# self._value = coords
def as_points(self) -> List[Point]:
"""Converts the `value` attribute to a list of Points"""
if not self.value:
return
if len(self.value) % 3:
raise ValueError("Points array malformed: length%3 != 0.")
values = iter(self.value)
return [Point(v, next(values), next(values), units=self.units) for v in values]
class Curve(Base, speckle_type=GEOMETRY + "Curve"):
degree: int = None
periodic: bool = None
rational: bool = None
points: List[float] = None
weights: List[float] = None
knots: List[float] = None
domain: Interval = None
displayValue: Polyline = None
closed: bool = None
bbox: Box = None
area: float = None
length: float = None
def __init__(self, **data: Any) -> None:
super().__init__(**data)
self.add_chunkable_attrs(points=20000, weights=20000, knots=20000)
def as_points(self) -> List[Point]:
"""Converts the `value` attribute to a list of Points"""
if not self.points:
return
if len(self.points) % 3:
raise ValueError("Points array malformed: length%3 != 0.")
values = iter(self.points)
return [Point(v, next(values), next(values), units=self.units) for v in values]
class Polycurve(Base, speckle_type=GEOMETRY + "Polycurve"):
segments: List[Base] = []
domain: Interval = None
closed: bool = None
bbox: Box = None
area: float = None
length: float = None
class Extrusion(Base, speckle_type=GEOMETRY + "Extrusion"):
capped: bool = None
profile: Base = None
pathStart: Point = None
pathEnd: Point = None
pathCurve: Base = None
pathTangent: Base = None
profiles: List[Base] = None
length: float = None
area: float = None
volume: float = None
bbox: Box = None
class Mesh(Base, speckle_type=GEOMETRY + "Mesh"):
vertices: List[float] = None
faces: List[int] = None
colors: List[int] = None
textureCoordinates: List[float] = None
bbox: Box = None
area: float = None
volume: float = None
def __init__(self, **data) -> None:
super().__init__(**data)
self.add_chunkable_attrs(
vertices=2000, faces=2000, colors=2000, textureCoordinates=2000
)
class Surface(Base, speckle_type=GEOMETRY + "Surface"):
degreeU: int = None
degreeV: int = None
rational: bool = None
area: float = None
pointData: List[float] = None
countU: int = None
countV: int = None
bbox: Box = None
class BrepFace(Base, speckle_type=GEOMETRY + "BrepFace"):
_Brep: "Brep" = None
SurfaceIndex: int = None
LoopIndices: List[int] = None
OuterLoopIndex: int = None
OrientationReversed: bool = None
@property
def _outer_loop(self):
return self._Brep.Loops[self.OuterLoopIndex]
@property
def _surface(self):
return self._Brep.Surfaces[self.SurfaceIndex]
@property
def _loops(self):
return [self._Brep.Loops[index] for index in self.LoopIndices]
class BrepEdge(Base, speckle_type=GEOMETRY + "BrepEdge"):
_Brep: "Brep" = None
Curve3dIndex: int = None
TrimIndices: List[int] = None
StartIndex: int = None
EndIndex: int = None
ProxyCurveIsReversed: bool = None
Domain: Interval = None
@property
def _start_vertex(self):
return self._Brep.Vertices[self.StartIndex]
@property
def _end_vertex(self):
return self._Brep.Vertices[self.EndIndex]
@property
def _trims(self):
return [self._Brep.Trims[i] for i in self.TrimIndices]
@property
def _curve(self):
return self._Brep.Curve3D[self.Curve3dIndex]
class BrepLoop(Base, speckle_type=GEOMETRY + "BrepLoop"):
_Brep: "Brep" = None
FaceIndex: int = None
TrimIndices: List[int] = None
Type: str = None
@property
def _face(self):
return self._Brep.Faces[self.FaceIndex]
@property
def _trims(self):
return [self._Brep.Trims[i] for i in self.TrimIndices]
class BrepTrim(Base, speckle_type=GEOMETRY + "BrepTrim"):
_Brep: "Brep" = None
EdgeIndex: int = None
StartIndex: int = None
EndIndex: int = None
FaceIndex: int = None
LoopIndex: int = None
CurveIndex: int = None
IsoStatus: int = None
TrimType: str = None
IsReversed: bool = None
Domain: Interval = None
@property
def _face(self):
return self._Brep.Faces[self.FaceIndex]
@property
def _loop(self):
return self._Brep.Loops[self.LoopIndex]
@property
def _edge(self):
return self._Brep.Edges[self.EdgeIndex] if self.EdgeIndex != -1 else None
@property
def _curve_2d(self):
return self._Brep.Curve2D[self.CurveIndex]
class Brep(Base, speckle_type=GEOMETRY + "Brep"):
provenance: str = None
bbox: Box = None
area: float = None
volume: float = None
displayValue: Mesh = None
Surfaces: List[Surface] = []
Curve3D: List[Base] = []
Curve2D: List[Base] = []
Vertices: List[Point] = []
Edges: List[BrepEdge] = []
Loops: List[BrepLoop] = []
Trims: List[BrepTrim] = []
Faces: List[BrepFace] = []
IsClosed: bool = None
Orientation: int = 0
def __init__(self, **data: Any) -> None:
super().__init__(**data)
self.add_detachable_attrs({"displayValue"})
self.add_chunkable_attrs(
Surfaces=200,
Curve3D=200,
Curve2D=200,
Vertices=5000,
Edges=5000,
Loops=5000,
Trims=5000,
Faces=5000,
)
def __setattr__(self, name: str, value: Any) -> None:
if not value:
return
if name in ["Edges", "Loops", "Trims", "Faces"]:
for val in value:
val._Brep = self
super().__setattr__(name, value)
BrepEdge.update_forward_refs()
BrepLoop.update_forward_refs()
BrepTrim.update_forward_refs()
BrepFace.update_forward_refs()
+12
View File
@@ -0,0 +1,12 @@
from .base import Base
OTHER = "Objects.Other."
class RenderMaterial(Base, speckle_type=OTHER + "RenderMaterial"):
name: str = None
opacity: float = 1
metalness: float = 0
roughness: float = 1
diffuse: int = -2894893 # light gray arbg
emissive: int = -16777216 # black arbg
+25
View File
@@ -0,0 +1,25 @@
from specklepy.logging.exceptions import SpeckleException
UNITS = ["mm", "cm", "m", "in", "ft", "yd", "mi"]
UNITS_STRINGS = {
"mm": ["mm", "mil", "millimeters", "millimetres"],
"cm": ["cm", "centimetre", "centimeter", "centimetres", "centimeters"],
"m": ["m", "meter", "meters", "metre", "metres"],
"in": ["in", "inch", "inches"],
"ft": ["ft", "foot", "feet"],
"yd": ["yd", "yard", "yards"],
"mi": ["mi", "mile", "miles"],
"none": ["none", "null"],
}
def get_units_from_string(unit: str):
unit = str.lower(unit)
for name, alternates in UNITS_STRINGS.items():
if unit in alternates:
return name
raise SpeckleException(
message=f"Could not understand what unit {unit} is referring to. Please enter a valid unit (eg {UNITS})."
)
@@ -1,110 +1,58 @@
import json
import hashlib
import re
import warnings
from enum import Enum
from typing import Any, Dict, List, Optional, Tuple
from uuid import uuid4
from warnings import warn
import ujson
# import for serialization
from specklepy.logging.exceptions import SpeckleException, SpeckleWarning
from typing import Any, Dict, List, Tuple
from specklepy.objects.base import Base, DataChunk
from specklepy.logging.exceptions import SerializationException, SpeckleException
from specklepy.transports.abstract_transport import AbstractTransport
import specklepy.objects.geometry
import specklepy.objects.other
PRIMITIVES = (int, float, str, bool)
def hash_obj(obj: Any) -> str:
return hashlib.sha256(ujson.dumps(obj).encode()).hexdigest()[:32]
def safe_json_loads(obj: str, obj_id=None) -> Any:
try:
return ujson.loads(obj)
except ValueError as err:
import json
warn(
f"Failed to deserialise object (id: {obj_id}). This is likely a ujson big"
f" int error - falling back to json. \nError: {err}",
SpeckleWarning,
stacklevel=2,
)
return json.loads(obj)
return hashlib.sha256(json.dumps(obj).encode()).hexdigest()[:32]
class BaseObjectSerializer:
read_transport: AbstractTransport
write_transports: List[AbstractTransport]
detach_lineage: List[bool] # tracks depth and whether or not to detach
lineage: List[str] # keeps track of hash chain through the object tree
family_tree: Dict[str, Dict[str, int]]
closure_table: Dict[str, Dict[str, int]]
deserialized: Dict[
str, Base
] # holds deserialized objects so objects with same id return the same instance
detach_lineage: List[bool] = [] # tracks depth and whether or not to detach
lineage: List[str] = [] # keeps track of hash chain through the object tree
family_tree: Dict[str, Dict[str, int]] = {}
closure_table: Dict[str, Dict[str, int]] = {}
def __init__(
self,
write_transports: Optional[List[AbstractTransport]] = None,
read_transport: Optional[AbstractTransport] = None,
self, write_transports: List[AbstractTransport] = [], read_transport=None
) -> None:
self.write_transports = write_transports or []
self.write_transports = write_transports
self.read_transport = read_transport
self.detach_lineage = []
self.lineage = []
self.family_tree = {}
self.closure_table = {}
self.deserialized = {}
def write_json(self, base: Base):
"""Serializes a given base object into a json string
Arguments:
base {Base} -- the base object to be decomposed and serialized
self.__reset_writer()
self.detach_lineage = [True]
hash, obj = self.traverse_base(base)
return hash, json.dumps(obj)
Returns:
(str, str) -- a tuple containing the object id of the base object and
the serialized object string
"""
obj_id, obj = self.traverse_base(base)
return obj_id, ujson.dumps(obj)
def traverse_base(self, base: Base) -> Tuple[str, Dict[str, Any]]:
def traverse_base(self, base: Base) -> Tuple[str, Dict]:
"""Decomposes the given base object and builds a serializable dictionary
Arguments:
base {Base} -- the base object to be decomposed and serialized
Returns:
(str, dict) -- a tuple containing the object id of the base object and
the constructed serializable dictionary
(str, dict) -- a tuple containing the hash (id) of the base object and the constructed serializable dictionary
"""
self.__reset_writer()
if self.write_transports:
for wt in self.write_transports:
wt.begin_write()
obj_id, obj = self._traverse_base(base)
if self.write_transports:
for wt in self.write_transports:
wt.end_write()
return obj_id, obj
def _traverse_base(self, base: Base) -> Tuple[str, Dict]:
if not self.detach_lineage:
self.detach_lineage = [True]
self.lineage.append(uuid4().hex)
object_builder = {"id": "", "speckle_type": "Base", "totalChildrenCount": 0}
object_builder.update(speckle_type=base.speckle_type)
obj, props = base, base.get_serializable_attributes()
obj, props = base, base.get_member_names()
while props:
prop = props.pop(0)
@@ -112,8 +60,8 @@ class BaseObjectSerializer:
chunkable = False
detach = False
# skip props marked to be ignored with "__" or "_"
if prop.startswith(("__", "_")):
# skip nulls or props marked to be ignored with "__" or "_"
if value is None or prop.startswith(("__", "_")):
continue
# don't prepopulate id as this will mess up hashing
@@ -122,9 +70,7 @@ class BaseObjectSerializer:
# only bother with chunking and detaching if there is a write transport
if self.write_transports:
dynamic_chunk_match = prop.startswith("@") and re.match(
r"^@\((\d*)\)", prop
)
dynamic_chunk_match = re.match(r"^@\((\d*)\)", prop)
if dynamic_chunk_match:
chunk_size = dynamic_chunk_match.groups()[0]
base._chunkable[prop] = (
@@ -136,23 +82,17 @@ class BaseObjectSerializer:
prop.startswith("@") or prop in base._detachable or chunkable
)
# 1. handle None and primitives (ints, floats, strings, and bools)
if value is None or isinstance(value, PRIMITIVES):
# 1. handle primitives (ints, floats, strings, and bools)
if isinstance(value, PRIMITIVES):
object_builder[prop] = value
continue
# NOTE: for dynamic props, this won't be re-serialised
# as an enum but as an int
if isinstance(value, Enum):
object_builder[prop] = value.value
continue
# 2. handle Base objects
elif isinstance(value, Base):
child_obj = self.traverse_value(value, detach=detach)
if detach and self.write_transports:
ref_id = child_obj["id"]
object_builder[prop] = self.detach_helper(ref_id=ref_id)
ref_hash = child_obj["id"]
object_builder[prop] = self.detach_helper(ref_hash=ref_hash)
else:
object_builder[prop] = child_obj
@@ -171,8 +111,8 @@ class BaseObjectSerializer:
chunk_refs = []
for c in chunks:
self.detach_lineage.append(detach)
ref_id, _ = self._traverse_base(c)
ref_obj = self.detach_helper(ref_id=ref_id)
ref_hash, _ = self.traverse_base(c)
ref_obj = self.detach_helper(ref_hash=ref_hash)
chunk_refs.append(ref_obj)
object_builder[prop] = chunk_refs
@@ -191,21 +131,20 @@ class BaseObjectSerializer:
}
object_builder["totalChildrenCount"] = len(closure)
obj_id = hash_obj(object_builder)
hash = hash_obj(object_builder)
object_builder["id"] = obj_id
object_builder["id"] = hash
if closure:
object_builder["__closure"] = self.closure_table[obj_id] = closure
object_builder["__closure"] = self.closure_table[hash] = closure
# write detached or root objects to transports
if detached and self.write_transports:
serialized_data = ujson.dumps(object_builder)
for t in self.write_transports:
t.save_object(id=obj_id, serialized_object=serialized_data)
t.save_object(id=hash, serialized_object=json.dumps(object_builder))
del self.lineage[-1]
return obj_id, object_builder
return hash, object_builder
def traverse_value(self, obj: Any, detach: bool = False) -> Any:
"""Decomposes a given object and constructs a serializable object or dictionary
@@ -216,16 +155,10 @@ class BaseObjectSerializer:
Returns:
Any -- a serializable version of the given object
"""
if obj is None:
return None
if isinstance(obj, PRIMITIVES):
return obj
# NOTE: for dynamic props, this won't be re-serialised as an enum but as an int
if isinstance(obj, Enum):
return obj.value
elif isinstance(obj, list | tuple | set):
elif isinstance(obj, (list, tuple, set)):
if not detach:
return [self.traverse_value(o) for o in obj]
@@ -233,15 +166,15 @@ class BaseObjectSerializer:
for o in obj:
if isinstance(o, Base):
self.detach_lineage.append(detach)
ref_id, _ = self._traverse_base(o)
detached_list.append(self.detach_helper(ref_id=ref_id))
hash, _ = self.traverse_base(o)
detached_list.append(self.detach_helper(ref_hash=hash))
else:
detached_list.append(self.traverse_value(o, detach))
return detached_list
elif isinstance(obj, dict):
for k, v in obj.items():
if isinstance(v, PRIMITIVES) or v is None:
if isinstance(v, PRIMITIVES):
continue
else:
obj[k] = self.traverse_value(v)
@@ -249,29 +182,24 @@ class BaseObjectSerializer:
elif isinstance(obj, Base):
self.detach_lineage.append(detach)
_, base_obj = self._traverse_base(obj)
_, base_obj = self.traverse_base(obj)
return base_obj
else:
try:
return obj.dict()
except Exception:
warn(
f"Failed to handle {type(obj)} in"
" `BaseObjectSerializer.traverse_value`",
SpeckleWarning,
stacklevel=2,
except:
SerializationException(
message=f"Failed to handle {type(obj)} in `BaseObjectSerializer.traverse_value`",
object=obj,
)
return str(obj)
def detach_helper(self, ref_id: str) -> Dict[str, str]:
"""
Helper to keep track of detached objects and their depth in the family tree
and create reference objects to place in the parent object
def detach_helper(self, ref_hash: str) -> Dict[str, str]:
"""Helper to keep track of detached objects and their depth in the family tree and create reference objects to place in the parent object
Arguments:
ref_id {str} -- the id of the fully traversed object
ref_hash {str} -- the hash of the fully traversed object
Returns:
dict -- a reference object to be inserted into the given object's parent
@@ -280,22 +208,19 @@ class BaseObjectSerializer:
for parent in self.lineage:
if parent not in self.family_tree:
self.family_tree[parent] = {}
if ref_id not in self.family_tree[parent] or self.family_tree[parent][
ref_id
if ref_hash not in self.family_tree[parent] or self.family_tree[parent][
ref_hash
] > len(self.detach_lineage):
self.family_tree[parent][ref_id] = len(self.detach_lineage)
self.family_tree[parent][ref_hash] = len(self.detach_lineage)
return {
"referencedId": ref_id,
"referencedId": ref_hash,
"speckle_type": "reference",
}
def __reset_writer(self) -> None:
"""
Reinitializes the lineage, and other variables that get used during the json
writing process
"""
self.detach_lineage = [True]
"""Reinitializes the lineage, and other variables that get used during the json writing process"""
self.detach_lineage = []
self.lineage = []
self.family_tree = {}
self.closure_table = {}
@@ -311,9 +236,7 @@ class BaseObjectSerializer:
"""
if not obj_string:
return None
self.deserialized = {}
obj = safe_json_loads(obj_string)
obj = json.loads(obj_string)
return self.recompose_base(obj=obj)
def recompose_base(self, obj: dict) -> Base:
@@ -329,10 +252,7 @@ class BaseObjectSerializer:
if not obj:
return
if isinstance(obj, str):
obj = safe_json_loads(obj)
if "id" in obj and obj["id"] in self.deserialized:
return self.deserialized[obj["id"]]
obj = json.loads(obj)
if "speckle_type" in obj and obj["speckle_type"] == "reference":
obj = self.get_child(obj=obj)
@@ -346,11 +266,7 @@ class BaseObjectSerializer:
object_type = Base.get_registered_type(speckle_type)
# initialise the base object using `speckle_type` fall back to base if needed
base = (
object_type.__new__(object_type)
if object_type
else Base.of_type(speckle_type=speckle_type)
)
base = object_type() if object_type else Base(speckle_type=speckle_type)
# get total children count
if "__closure" in obj:
if not self.read_transport:
@@ -368,32 +284,23 @@ class BaseObjectSerializer:
# 2. handle referenced child objects
elif "referencedId" in value:
ref_id = value["referencedId"]
ref_obj_str = self.read_transport.get_object(id=ref_id)
if ref_obj_str:
ref_obj = safe_json_loads(ref_obj_str, ref_id)
base.__setattr__(prop, self.recompose_base(obj=ref_obj))
else:
warnings.warn(
f"Could not find the referenced child object of id `{ref_id}`"
f" in the given read transport: {self.read_transport.name}",
SpeckleWarning,
stacklevel=2,
ref_hash = value["referencedId"]
ref_obj_str = self.read_transport.get_object(id=ref_hash)
if not ref_obj_str:
raise SpeckleException(
f"Could not find the referenced child object of id `{ref_hash}` in the given read transport: {self.read_transport.name}"
)
base.__setattr__(prop, self.handle_value(value))
ref_obj = json.loads(ref_obj_str)
base.__setattr__(prop, self.recompose_base(obj=ref_obj))
# 3. handle all other cases (base objects, lists, and dicts)
else:
base.__setattr__(prop, self.handle_value(value))
if "id" in obj:
self.deserialized[obj["id"]] = base
return base
def handle_value(self, obj: Any):
"""Helper for recomposing a base object by handling the dictionary
representation's values
"""Helper for recomposing a base object by handling the dictionary representation's values
Arguments:
obj {Any} -- a value from the base object dictionary
@@ -417,7 +324,7 @@ class BaseObjectSerializer:
# handle chunked lists
data = []
for o in obj_list:
data.extend(o.data)
data.extend(o["data"])
return data
return obj_list
@@ -435,15 +342,10 @@ class BaseObjectSerializer:
return obj
def get_child(self, obj: Dict):
ref_id = obj["referencedId"]
ref_obj_str = self.read_transport.get_object(id=ref_id)
ref_hash = obj["referencedId"]
ref_obj_str = self.read_transport.get_object(id=ref_hash)
if not ref_obj_str:
warnings.warn(
f"Could not find the referenced child object of id `{ref_id}` in the"
f" given read transport: {self.read_transport.name}",
SpeckleWarning,
stacklevel=2,
raise SpeckleException(
f"Could not find the referenced child object of id `{ref_hash}` in the given read transport: {self.read_transport.name}"
)
return obj
return safe_json_loads(ref_obj_str, ref_id)
return json.loads(ref_obj_str)
@@ -1,12 +1,24 @@
from abc import ABC, abstractmethod
from typing import Dict, List, Optional
from typing import Any, Optional, List, Dict
from pydantic import BaseModel
from pydantic.main import Extra
# __________________
# | |
# | this is v wip |
# | pls be careful |
# |__________________|
# (\__/) ||
# (•ㅅ•) ||
# /  
class AbstractTransport(ABC):
class AbstractTransport(ABC, BaseModel):
_name: str = "Abstract"
@property
@abstractmethod
def name(self):
pass
return type(self)._name
@abstractmethod
def begin_write(self) -> None:
@@ -15,9 +27,7 @@ class AbstractTransport(ABC):
@abstractmethod
def end_write(self) -> None:
"""
Optional: signals to the transport that no more items will need to be written.
"""
"""Optional: signals to the transport that no more items will need to be written."""
pass
@abstractmethod
@@ -38,8 +48,7 @@ class AbstractTransport(ABC):
Arguments:
id {str} -- the hash of the object
source_transport {AbstractTransport)
-- the transport through which the object can be found
source_transport {AbstractTransport) -- the transport through which the object can be found
"""
pass
@@ -51,8 +60,7 @@ class AbstractTransport(ABC):
id {str} -- the hash of the object
Returns:
str -- the full string representation
of the object (or null if no object is found)
str -- the full string representation of the object (or null if no object is found)
"""
pass
@@ -64,8 +72,7 @@ class AbstractTransport(ABC):
id_list -- List of object id to be checked
Returns:
Dict[str, bool] -- keys: input ids, values:
whether the transport has that object
Dict[str, bool] -- keys: input ids, values: whether the transport has that object
"""
pass
@@ -77,9 +84,12 @@ class AbstractTransport(ABC):
Arguments:
id {str} -- the id of the object you want to copy
target_transport {AbstractTransport}
-- the transport you want to copy the object to
target_transport {AbstractTransport} -- the transport you want to copy the object to
Returns:
str -- the string representation of the root object
"""
pass
class Config:
extra = Extra.allow
arbitrary_types_allowed = True
@@ -1,18 +1,18 @@
from typing import Dict, List
import json
from typing import Any, List, Dict
from specklepy.logging.exceptions import SpeckleException
from specklepy.transports.abstract_transport import AbstractTransport
class MemoryTransport(AbstractTransport):
def __init__(self, name="Memory") -> None:
super().__init__()
self._name = name
self.objects = {}
self.saved_object_count = 0
_name: str = "Memory"
objects: dict = {}
saved_object_count: int = 0
@property
def name(self) -> str:
return self._name
def __init__(self, name=None, **data: Any) -> None:
super().__init__(**data)
if name:
self._name = name
def __repr__(self) -> str:
return f"MemoryTransport(objects: {len(self.objects)})"
@@ -27,8 +27,11 @@ class MemoryTransport(AbstractTransport):
) -> None:
raise NotImplementedError
def get_object(self, id: str) -> str | None:
return self.objects.get(id, None)
def get_object(self, id: str) -> str or None:
if id in self.objects:
return self.objects[id]
else:
return None
def has_objects(self, id_list: List[str]) -> Dict[str, bool]:
return {id: (id in self.objects) for id in id_list}
+1
View File
@@ -0,0 +1 @@
from .server import ServerTransport
@@ -1,25 +1,23 @@
import gzip
import json
import logging
import queue
import threading
import queue
import time
import gzip
import requests
from specklepy.logging.exceptions import SpeckleException
from specklepy.transports.server.retry_policy import setup_session
LOG = logging.getLogger(__name__)
class BatchSender:
class BatchSender(object):
def __init__(
self,
server_url,
stream_id,
token,
max_batch_size_mb=1,
max_batch_length=20000,
batch_buffer_length=10,
thread_count=4,
):
@@ -28,7 +26,6 @@ class BatchSender:
self._token = token
self.max_size = int(max_batch_size_mb * 1000 * 1000)
self.max_batch_length = int(max_batch_length)
self._batches = queue.Queue(batch_buffer_length)
self._crt_batch = []
self._crt_batch_size = 0
@@ -42,11 +39,7 @@ class BatchSender:
self._create_threads()
crt_obj_size = len(obj)
crt_batch_length = len(self._crt_batch)
if not self._crt_batch or (
self._crt_batch_size + crt_obj_size < self.max_size
and crt_batch_length < self.max_batch_length
):
if not self._crt_batch or self._crt_batch_size + crt_obj_size < self.max_size:
self._crt_batch.append((id, obj))
self._crt_batch_size += crt_obj_size
return
@@ -73,7 +66,10 @@ class BatchSender:
def _sending_thread_main(self):
try:
session = setup_session(self._token)
session = requests.Session()
session.headers.update(
{"Authorization": f"Bearer {self._token}", "Accept": "text/plain"}
)
while True:
batch = self._batches.get()
@@ -94,72 +90,46 @@ class BatchSender:
self._exception = self._exception or ex
LOG.error("ServerTransport sending thread error: " + str(ex))
def _bg_send_batch(self, session: requests.Session, batch):
def _bg_send_batch(self, session, batch):
object_ids = [obj[0] for obj in batch]
response = session.post(
server_has_object = session.post(
url=f"{self.server_url}/api/diff/{self.stream_id}",
data={"objects": json.dumps(object_ids)},
)
if response.status_code == 403:
raise SpeckleException(
f"Invalid credentials - cannot send objects to server {self.server_url}"
)
response.raise_for_status()
server_has_object = response.json()
).json()
new_object_ids = [x for x in object_ids if not server_has_object[x]]
new_object_ids = set(new_object_ids)
new_objects = [obj[1] for obj in batch if obj[0] in new_object_ids]
if not new_objects:
LOG.info(
f"Uploading batch of {len(batch)} objects: all objects are already in"
" the server"
)
LOG.info(f"Uploading batch of {len(batch)} objects: all objects are already in the server")
return
upload_data = "[" + ",".join(new_objects) + "]"
upload_data_gzip = gzip.compress(upload_data.encode())
LOG.info(
"Uploading batch of {batch_size} objects {new_object_count}: "
+ "(size: {upload_size}, compressed size: {upload_data_size})",
{
"batch_size": len(batch),
"new_object_count": len(new_objects),
"upload_size": len(upload_data),
"upload_data_size": len(upload_data_gzip),
},
"Uploading batch of %s objects (%s new): (size: %s, compressed size: %s)"
% (len(batch), len(new_objects), len(upload_data), len(upload_data_gzip))
)
try:
r = session.post(
url=f"{self.server_url}/objects/{self.stream_id}",
files={"batch-1": ("batch-1", upload_data_gzip, "application/gzip")},
)
if r.status_code != 201:
LOG.warning("Upload server response: %s", r.text)
raise SpeckleException(
message=(
"Could not save the object to the server - status code"
f" {r.status_code} ({r.text[:1000]})"
)
)
except json.JSONDecodeError as error:
return SpeckleException(
f"Failed to send objects to {self.server_url}. Please ensure this"
f" stream ({self.stream_id}) exists on this server and that you have"
" permission to send to it.",
error,
r = session.post(
url=f"{self.server_url}/objects/{self.stream_id}",
files={"batch-1": ("batch-1", upload_data_gzip, "application/gzip")},
)
if r.status_code != 201:
LOG.warning("Upload server response: %s", r.text)
raise SpeckleException(
message=f"Could not save the object to the server - status code {r.status_code}"
)
def _create_threads(self):
for _ in range(self.thread_count):
for i in range(self.thread_count):
t = threading.Thread(target=self._sending_thread_main, daemon=True)
t.start()
self._send_threads.append(t)
def _delete_threads(self):
for _ in range(len(self._send_threads)):
for i in range(len(self._send_threads)):
self._batches.put(None)
for thread in self._send_threads:
+119
View File
@@ -0,0 +1,119 @@
import json
import time
import requests
from typing import Any, Dict, List, Type
from specklepy.api.client import SpeckleClient
from specklepy.logging.exceptions import SpeckleException
from specklepy.transports.abstract_transport import AbstractTransport
from .batch_sender import BatchSender
class ServerTransport(AbstractTransport):
_name = "RemoteTransport"
url: str = None
stream_id: str = None
saved_obj_count: int = 0
session: requests.Session = None
def __init__(self, client: SpeckleClient, stream_id: str, **data: Any) -> None:
super().__init__(**data)
# TODO: replace client with account or some other auth avenue
self.url = client.url
self.stream_id = stream_id
token = client.me["token"]
self._batch_sender = BatchSender(self.url, self.stream_id, token, max_batch_size_mb=1)
self.session = requests.Session()
self.session.headers.update(
{"Authorization": f"Bearer {token}", "Accept": "text/plain"}
)
def begin_write(self) -> None:
self.saved_obj_count = 0
def end_write(self) -> None:
self._batch_sender.flush()
def save_object(self, id: str, serialized_object: str) -> None:
self._batch_sender.send_object(id, serialized_object)
def save_object_from_transport(
self, id: str, source_transport: AbstractTransport
) -> None:
obj_string = source_transport.get_object(id=id)
self.save_object(id=id, serialized_object=obj_string)
def get_object(self, id: str) -> str:
# endpoint = f"{self.url}/objects/{self.stream_id}/{id}/single"
# r = self.session.get(endpoint, stream=True)
# _, obj = next(r.iter_lines().decode("utf-8")).split("\t")
# return obj
raise SpeckleException(
"Getting a single object using `ServerTransport.get_object()` is not implemented. To get an object from the server, please use the `SpeckleClient.object.get()` route",
NotImplementedError,
)
def has_objects(self, id_list: List[str]) -> Dict[str, bool]:
return {id: False for id in id_list}
def copy_object_and_children(
self, id: str, target_transport: AbstractTransport
) -> str:
endpoint = f"{self.url}/objects/{self.stream_id}/{id}/single"
r = self.session.get(endpoint)
if r.encoding is None:
r.encoding = "utf-8"
if r.status_code != 200:
raise SpeckleException(f"Can't get object {self.stream_id}/{id}: HTTP error {r.status_code} ({r.text[:1000]})")
root_obj_serialized = r.text
root_obj = json.loads(root_obj_serialized)
closures = root_obj.get('__closure', {})
# Check which children are not already in the target transport
children_ids = list(closures.keys())
children_found_map = target_transport.has_objects(children_ids)
new_children_ids = [id for id in children_found_map if not children_found_map[id]]
# Get the new children
endpoint = f"{self.url}/api/getobjects/{self.stream_id}"
r = self.session.post(endpoint, data={"objects": json.dumps(new_children_ids)}, stream=True)
if r.encoding is None:
r.encoding = "utf-8"
lines = r.iter_lines(decode_unicode=True)
# iter through returned objects saving them as we go
for line in lines:
if line:
hash, obj = line.split("\t")
target_transport.save_object(hash, obj)
target_transport.save_object(id, root_obj_serialized)
return root_obj_serialized
# async def stream_res(self, endpoint: str) -> str:
# data = b""
# async with aiohttp.ClientSession() as session:
# session.headers.update(
# {
# "Authorization": f"{self.session.headers['Authorization']}",
# "Accept": "text/plain",
# }
# )
# async with session.get(endpoint) as res:
# while True:
# chunk = await res.content.read(self.chunk_size)
# if not chunk:
# break
# data += chunk
# return data.decode("utf-8")
+213
View File
@@ -0,0 +1,213 @@
import os
import sys
import time
import sched
import sqlite3
from typing import Any, List, Dict
from appdirs import user_data_dir
from contextlib import closing
from multiprocessing import Process, Queue
from specklepy.transports.abstract_transport import AbstractTransport
from specklepy.logging.exceptions import SpeckleException
class SQLiteTransport(AbstractTransport):
_name = "SQLite"
_base_path: str = None
_root_path: str = None
_is_writing: bool = False
_scheduler = sched.scheduler(time.time, time.sleep)
_polling_interval = 0.5 # seconds
__connection: sqlite3.Connection = None
__queue: Queue = Queue()
app_name: str = ""
scope: str = ""
saved_obj_count: int = 0
def __init__(
self,
base_path: str = None,
app_name: str = None,
scope: str = None,
**data: Any,
) -> None:
super().__init__(**data)
self.app_name = app_name or "Speckle"
self.scope = scope or "Objects"
self._base_path = base_path or self.__get_base_path()
os.makedirs(self._base_path, exist_ok=True)
self._root_path = os.path.join(
os.path.join(self._base_path, f"{self.scope}.db")
)
self.__initialise()
def __repr__(self) -> str:
return f"SQLiteTransport(app: '{self.app_name}', scope: '{self.scope}')"
# def __write_timer_elapsed(self):
# print("WRITE TIMER ELAPSED")
# proc = Process(target=_run_queue, args=(self.__queue, self._root_path))
# proc.start()
# proc.join()
def __get_base_path(self):
# from appdirs https://github.com/ActiveState/appdirs/blob/master/appdirs.py
# default mac path is not the one we use (we use unix path), so using special case for this
system = sys.platform
if system.startswith("java"):
import platform
os_name = platform.java_ver()[3][0]
if os_name.startswith("Mac"):
system = "darwin"
if system == "darwin":
path = os.path.expanduser("~/.config/")
return os.path.join(path, self.app_name)
else:
return user_data_dir(appname=self.app_name, appauthor=False, roaming=True)
def __consume_queue(self):
if self._is_writing or self.__queue.empty():
return
print("CONSUME QUEUE")
self._is_writing = True
while not self.__queue.empty():
data = self.__queue.get()
self.save_object(data[0], data[1])
self._is_writing = False
self._scheduler.enter(
delay=self._polling_interval, priority=1, action=self.__consume_queue
)
self._scheduler.run(blocking=True)
# def save_object(self, id: str, serialized_object: str) -> None:
# """Adds an object to the queue and schedules it to be saved.
# Arguments:
# id {str} -- the object id
# serialized_object {str} -- the full string representation of the object
# """
# print("SAVE OBJECT")
# self.__queue.put((id, serialized_object))
# self._scheduler.enter(
# delay=self._polling_interval, priority=1, action=self.__consume_queue
# )
# self._scheduler.run(blocking=True)
def save_object_from_transport(
self, id: str, source_transport: AbstractTransport
) -> None:
"""Adds an object from the given transport to the queue and schedules it to be saved.
Arguments:
id {str} -- the object id
source_transport {AbstractTransport) -- the transport through which the object can be found
"""
serialized_object = source_transport.get_object(id)
self.__queue.put((id, serialized_object))
raise NotImplementedError
def save_object(self, id: str, serialized_object: str) -> None:
"""Directly saves an object into the database.
Arguments:
id {str} -- the object id
serialized_object {str} -- the full string representation of the object
"""
self.__check_connection()
try:
with closing(self.__connection.cursor()) as c:
c.execute(
"INSERT OR IGNORE INTO objects(hash, content) VALUES(?,?)",
(id, serialized_object),
)
self.__connection.commit()
except Exception as ex:
raise SpeckleException(
f"Could not save the object to the local db. Inner exception: {ex}", ex
)
def get_object(self, id: str) -> str or None:
self.__check_connection()
with closing(self.__connection.cursor()) as c:
row = c.execute(
"SELECT * FROM objects WHERE hash = ? LIMIT 1", (id,)
).fetchone()
return row[1] if row else None
def has_objects(self, id_list: List[str]) -> Dict[str, bool]:
ret = {}
self.__check_connection()
with closing(self.__connection.cursor()) as c:
for id in id_list:
row = c.execute(
"SELECT 1 FROM objects WHERE hash = ? LIMIT 1", (id,)
).fetchone()
ret[id] = bool(row)
return ret
def begin_write(self):
self.saved_obj_count = 0
def end_write(self):
pass
def copy_object_and_children(
self, id: str, target_transport: AbstractTransport
) -> str:
raise NotImplementedError
def get_all_objects(self):
"""Returns all the objects in the store. NOTE: do not use for large collections!"""
self.__check_connection()
with closing(self.__connection.cursor()) as c:
rows = c.execute("SELECT * FROM objects").fetchall()
return rows
def close(self):
"""Close the connection to the database"""
if self.__connection:
self.__connection.close()
self.__connection = None
def __initialise(self) -> None:
self.__connection = sqlite3.connect(self._root_path)
with closing(self.__connection.cursor()) as c:
c.execute(
""" CREATE TABLE IF NOT EXISTS objects(
hash TEXT PRIMARY KEY,
content TEXT
) WITHOUT ROWID;"""
)
c.execute("PRAGMA journal_mode='wal';")
c.execute("PRAGMA count_changes=OFF;")
c.execute("PRAGMA temp_store=MEMORY;")
self.__connection.commit()
def __check_connection(self):
if not self.__connection:
self.__connection = sqlite3.connect(self._root_path)
def __del__(self):
self.__connection.close()
# def _run_queue(queue: Queue, root_path: str):
# if queue.empty():
# return
# print("RUN QUEUE")
# conn = sqlite3.connect(root_path)
# while not queue.empty():
# data = queue.get()
# with closing(conn.cursor()) as c:
# c.execute(
# "INSERT OR IGNORE INTO objects(hash, content) VALUES(?,?)",
# (data[0], data[1]),
# )
# conn.commit()
# conn.close()
-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",
]
-495
View File
@@ -1,495 +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, Union
import httpx
from gql import gql
from speckle_automate.schema import (
AutomateBase,
AutomationResult,
AutomationRunData,
AutomationStatus,
ObjectResultLevel,
ResultCase,
)
from specklepy.api import operations
from specklepy.api.client import SpeckleClient
from specklepy.core.api.inputs.model_inputs import CreateModelInput
from specklepy.core.api.inputs.version_inputs import CreateVersionInput
from specklepy.core.api.models.current import Model, Version
from specklepy.logging.exceptions import SpeckleException
from specklepy.objects.base import Base
from specklepy.transports.memory import MemoryTransport
from specklepy.transports.server import ServerTransport
@dataclass
class AutomationContext:
"""A context helper class.
This class exposes methods to work with the Speckle Automate context inside
Speckle Automate functions.
An instance of AutomationContext is injected into every run of a function.
"""
automation_run_data: AutomationRunData
speckle_client: SpeckleClient
_server_transport: ServerTransport
_speckle_token: str
#: keep a memory transponrt at hand, to speed up things if needed
_memory_transport: MemoryTransport = field(default_factory=MemoryTransport)
#: added for performance measuring
_init_time: float = field(default_factory=time.perf_counter)
_automation_result: AutomationResult = field(default_factory=AutomationResult)
@classmethod
def initialize(
cls, automation_run_data: Union[str, AutomationRunData], speckle_token: str
) -> "AutomationContext":
"""Bootstrap the AutomateSDK from raw data.
Todo:
----
* bootstrap a structlog logger instance
* expose a logger, that ppl can use instead of print
"""
# parse the json value if its not an initialized project data instance
automation_run_data = (
automation_run_data
if isinstance(automation_run_data, AutomationRunData)
else AutomationRunData.model_validate_json(automation_run_data)
)
speckle_client = SpeckleClient(
automation_run_data.speckle_server_url,
automation_run_data.speckle_server_url.startswith("https"),
)
speckle_client.authenticate_with_token(speckle_token)
if not speckle_client.account:
msg = (
f"Could not authenticate to {automation_run_data.speckle_server_url}",
"with the provided token",
)
raise ValueError(msg)
server_transport = ServerTransport(
automation_run_data.project_id, speckle_client
)
return cls(automation_run_data, speckle_client, server_transport, speckle_token)
@property
def run_status(self) -> AutomationStatus:
"""Get the status of the automation run."""
return self._automation_result.run_status
@property
def status_message(self) -> Optional[str]:
"""Get the current status message."""
return self._automation_result.status_message
def elapsed(self) -> float:
"""Return the elapsed time in seconds since the initialization time."""
return time.perf_counter() - self._init_time
def receive_version(self) -> Base:
"""Receive the Speckle project version that triggered this automation run."""
# TODO: this is a quick hack to keep implementation consistency.
# Move to proper receive many versions
version_id = self.automation_run_data.triggers[0].payload.version_id
try:
version = self.speckle_client.version.get(
version_id, self.automation_run_data.project_id
)
except SpeckleException as err:
raise ValueError(
f"""Could not receive specified version.
Is your environment configured correctly?
project_id: {self.automation_run_data.project_id}
model_id: {self.automation_run_data.triggers[0].payload.model_id}
version_id: {self.automation_run_data.triggers[0].payload.version_id}
"""
) from err
if not version.referenced_object:
raise Exception(
"This version is past the version history limit,",
" cannot execute an automation on it",
)
base = operations.receive(
version.referenced_object, self._server_transport, self._memory_transport
)
# self._closure_tree = base["__closure"]
print(
f"It took {self.elapsed():.2f} seconds to receive",
f" the speckle version {version_id}",
)
return base
def create_new_model_in_project(
self, model_name: str, model_description: Optional[str] = None
) -> Model:
input = CreateModelInput(
name=model_name,
description=model_description,
project_id=self.automation_run_data.project_id,
)
return self.speckle_client.model.create(input)
def get_model(self, model_id: str) -> Model:
"""
Args:
model_id (str): The id of the model to get
"""
return self.speckle_client.model.get(
model_id, self.automation_run_data.project_id
)
def create_new_version_in_project(
self, root_object: Base, model_id: str, version_message: str = ""
) -> Version:
"""Save a base model to a new version on the project.
Args:
root_object (Base): The Speckle base object for the new version.
model_id (str): Id of model to create the new version on.
version_message (str): The message for the new version.
"""
matching_trigger = [
t
for t in self.automation_run_data.triggers
if t.payload.model_id == model_id
]
if matching_trigger:
raise ValueError(
f"The target model: {model_id} cannot match the model"
f" that triggered this automation:"
f" {matching_trigger[0].payload.model_id}"
)
root_object_id = operations.send(
root_object,
[self._server_transport, self._memory_transport],
use_default_cache=False,
)
create_version_input = CreateVersionInput(
object_id=root_object_id,
model_id=model_id,
project_id=self.automation_run_data.project_id,
message=version_message,
source_application="SpeckleAutomate",
)
version = self.speckle_client.version.create(create_version_input)
self._automation_result.result_versions.append(version.id)
return version
@property
def context_view(self) -> Optional[str]:
return self._automation_result.result_view
def set_context_view(
self,
# f"{model_id}@{version_id} or {model_id} "
resource_ids: Optional[List[str]] = None,
include_source_model_version: bool = True,
) -> None:
link_resources = (
[
f"{t.payload.model_id}@{t.payload.version_id}"
for t in self.automation_run_data.triggers
]
if include_source_model_version
else []
)
if resource_ids:
link_resources.extend(resource_ids)
if not link_resources:
raise Exception(
"We do not have enough resource ids to compose a context view"
)
self._automation_result.result_view = (
f"/projects/{self.automation_run_data.project_id}"
f"/models/{','.join(link_resources)}"
)
def report_run_status(self) -> None:
"""Report the current run status to the project of this automation."""
query = gql(
"""
mutation AutomateFunctionRunStatusReport(
$projectId: String!
$functionRunId: String!
$status: AutomateRunStatus!
$statusMessage: String
$results: JSONObject
$contextView: String
){
automateFunctionRunStatusReport(input: {
projectId: $projectId
functionRunId: $functionRunId
status: $status
statusMessage: $statusMessage
contextView: $contextView
results: $results
})
}
"""
)
if self.run_status in [AutomationStatus.SUCCEEDED, AutomationStatus.FAILED]:
object_results = {
"version": 2,
"values": {
"objectResults": self._automation_result.model_dump(by_alias=True)[
"objectResults"
],
"blobIds": self._automation_result.blobs,
},
}
else:
object_results = None
params = {
"projectId": self.automation_run_data.project_id,
"functionRunId": self.automation_run_data.function_run_id,
"status": self.run_status.value,
"statusMessage": self._automation_result.status_message,
"results": object_results,
"contextView": self._automation_result.result_view,
}
print(f"Reporting run status with content: {params}")
self.speckle_client.httpclient.execute(query, params)
def store_file_result(self, file_path: Union[Path, str]) -> str:
"""Save a file attached to the project of this automation."""
path_obj = (
Path(file_path).resolve() if isinstance(file_path, str) else file_path
)
class UploadResult(AutomateBase):
blob_id: str
file_name: str
upload_status: int
class BlobUploadResponse(AutomateBase):
upload_results: list[UploadResult]
if not path_obj.exists():
raise ValueError("The given file path doesn't exist")
files = {path_obj.name: path_obj.open("rb")}
url = (
f"{self.automation_run_data.speckle_server_url}api/stream/"
f"{self.automation_run_data.project_id}/blob"
)
data = (
httpx.post(
url,
files=files,
headers={"authorization": f"Bearer {self._speckle_token}"},
)
.raise_for_status()
.json()
)
upload_response = BlobUploadResponse.model_validate(data)
if len(upload_response.upload_results) != 1:
raise ValueError("Expecting one upload result.")
self._automation_result.blobs.extend(
[upload_result.blob_id for upload_result in upload_response.upload_results]
)
return upload_response.upload_results[0].blob_id
def mark_run_failed(self, status_message: str) -> None:
"""Mark the current run a failure."""
self._mark_run(AutomationStatus.FAILED, status_message)
def mark_run_exception(self, status_message: str) -> None:
"""Mark the current run a failure."""
self._mark_run(AutomationStatus.EXCEPTION, status_message)
def mark_run_success(self, status_message: Optional[str]) -> None:
"""Mark the current run a success with an optional message."""
self._mark_run(AutomationStatus.SUCCEEDED, status_message)
def _mark_run(
self, status: AutomationStatus, status_message: Optional[str]
) -> None:
duration = self.elapsed()
self._automation_result.status_message = status_message
self._automation_result.run_status = status
self._automation_result.elapsed = duration
msg = f"Automation run {status.value} after {duration:.2f} seconds."
print("\n".join([msg, status_message]) if status_message else msg)
def attach_error_to_objects(
self,
category: str,
affected_objects: Union[Base, List[Base]],
message: Optional[str] = None,
metadata: Optional[Dict[str, Any]] = None,
visual_overrides: Optional[Dict[str, Any]] = None,
) -> None:
"""Add a new error case to the run results.
Args:
category (str): A short tag for the event type.
affected_objects (Union[Base, List[Base]]): A single object or a list of
objects that are causing the error case.
message (Optional[str]): Optional message.
metadata: User provided metadata key value pairs
visual_overrides: Case specific 3D visual overrides.
"""
self.attach_result_to_objects(
ObjectResultLevel.ERROR,
category,
affected_objects,
message,
metadata,
visual_overrides,
)
def attach_warning_to_objects(
self,
category: str,
affected_objects: Union[Base, List[Base]],
message: Optional[str] = None,
metadata: Optional[Dict[str, Any]] = None,
visual_overrides: Optional[Dict[str, Any]] = None,
) -> None:
"""Add a new warning case to the run results.
Args:
category (str): A short tag for the event type.
affected_objects (Union[Base, List[Base]]): A single object or a list of
objects that are causing the warning case.
message (Optional[str]): Optional message.
metadata: User provided metadata key value pairs
visual_overrides: Case specific 3D visual overrides.
"""
self.attach_result_to_objects(
ObjectResultLevel.WARNING,
category,
affected_objects,
message,
metadata,
visual_overrides,
)
def attach_success_to_objects(
self,
category: str,
affected_objects: Union[Base, List[Base]],
message: Optional[str] = None,
metadata: Optional[Dict[str, Any]] = None,
visual_overrides: Optional[Dict[str, Any]] = None,
) -> None:
"""Add a new success case to the run results.
Args:
category (str): A short tag for the event type.
affected_objects (Union[Base, List[Base]]): A single object or a list of
objects that are causing the success case.
message (Optional[str]): Optional message.
metadata: User provided metadata key value pairs
visual_overrides: Case specific 3D visual overrides.
"""
self.attach_result_to_objects(
ObjectResultLevel.SUCCESS,
category,
affected_objects,
message,
metadata,
visual_overrides,
)
def attach_info_to_objects(
self,
category: str,
affected_objects: Union[Base, List[Base]],
message: Optional[str] = None,
metadata: Optional[Dict[str, Any]] = None,
visual_overrides: Optional[Dict[str, Any]] = None,
) -> None:
"""Add a new info case to the run results.
Args:
category (str): A short tag for the event type.
affected_objects (Union[Base, List[Base]]): A single object or a list of
objects that are causing the info case.
message (Optional[str]): Optional message.
metadata: User provided metadata key value pairs
visual_overrides: Case specific 3D visual overrides.
"""
self.attach_result_to_objects(
ObjectResultLevel.INFO,
category,
affected_objects,
message,
metadata,
visual_overrides,
)
def attach_result_to_objects(
self,
level: ObjectResultLevel,
category: str,
affected_objects: Union[Base, List[Base]],
message: Optional[str] = None,
metadata: Optional[Dict[str, Any]] = None,
visual_overrides: Optional[Dict[str, Any]] = None,
) -> None:
"""Add a new result case to the run results.
Args:
level: Result level.
category (str): A short tag for the event type.
affected_objects (Union[Base, List[Base]]): A single object or a list of
objects that are causing the info case.
message (Optional[str]): Optional message.
metadata: User provided metadata key value pairs
visual_overrides: Case specific 3D visual overrides.
"""
if isinstance(affected_objects, list):
if len(affected_objects) < 1:
raise ValueError(
f"Need atleast one object to report a(n) {level.value.upper()}"
)
object_list = affected_objects
else:
object_list = [affected_objects]
ids: Dict[str, Optional[str]] = {}
for o in object_list:
# validate that the Base.id is not None. If its a None, throw an Exception
if not o.id:
raise Exception(
f"You can only attach {level} results to objects with an id."
)
ids[o.id] = o.applicationId
print(
f"Created new {level.value.upper()}"
f" category: {category} caused by: {message}"
)
self._automation_result.object_results.append(
ResultCase(
category=category,
level=level,
object_app_ids=ids,
message=message,
metadata=metadata,
visual_overrides=visual_overrides,
)
)
-146
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@@ -1,146 +0,0 @@
"""Some useful helpers for working with automation data."""
import pytest
from gql import gql
from pydantic import Field
from pydantic_settings import BaseSettings, SettingsConfigDict
from speckle_automate.schema import AutomationRunData, TestAutomationRunData
from specklepy.api.client import SpeckleClient
class TestAutomationEnvironment(BaseSettings):
"""Get known environment variables from local `.env` file"""
model_config = SettingsConfigDict(
env_file=".env",
env_file_encoding="utf-8",
env_prefix="speckle_",
extra="ignore",
)
token: str = Field()
server_url: str = Field()
project_id: str = Field()
automation_id: str = Field()
@pytest.fixture()
def test_automation_environment() -> TestAutomationEnvironment:
return TestAutomationEnvironment()
@pytest.fixture()
def test_automation_token(
test_automation_environment: TestAutomationEnvironment,
) -> str:
"""Provide a speckle token for the test suite."""
return test_automation_environment.token
@pytest.fixture()
def speckle_client(
test_automation_environment: TestAutomationEnvironment,
) -> SpeckleClient:
"""Initialize a SpeckleClient for testing."""
speckle_client = SpeckleClient(
test_automation_environment.server_url,
test_automation_environment.server_url.startswith("https"),
)
speckle_client.authenticate_with_token(test_automation_environment.token)
return speckle_client
def create_test_automation_run(
speckle_client: SpeckleClient, project_id: str, test_automation_id: str
) -> TestAutomationRunData:
"""Create test run to report local test results to"""
query = gql(
"""
mutation CreateTestRun(
$projectId: ID!,
$automationId: ID!
) {
projectMutations {
automationMutations(projectId: $projectId) {
createTestAutomationRun(automationId: $automationId) {
automationRunId
functionRunId
triggers {
payload {
modelId
versionId
}
triggerType
}
}
}
}
}
"""
)
params = {"automationId": test_automation_id, "projectId": project_id}
result = speckle_client.httpclient.execute(query, params)
print(result)
return (
result.get("projectMutations")
.get("automationMutations")
.get("createTestAutomationRun")
)
@pytest.fixture()
def test_automation_run(
speckle_client: SpeckleClient,
test_automation_environment: TestAutomationEnvironment,
) -> TestAutomationRunData:
return create_test_automation_run(
speckle_client,
test_automation_environment.project_id,
test_automation_environment.automation_id,
)
def create_test_automation_run_data(
speckle_client: SpeckleClient,
test_automation_environment: TestAutomationEnvironment,
) -> AutomationRunData:
"""Create automation run data for a new run for a given test automation"""
test_automation_run_data = create_test_automation_run(
speckle_client,
test_automation_environment.project_id,
test_automation_environment.automation_id,
)
return AutomationRunData(
project_id=test_automation_environment.project_id,
speckle_server_url=test_automation_environment.server_url,
automation_id=test_automation_environment.automation_id,
automation_run_id=test_automation_run_data["automationRunId"],
function_run_id=test_automation_run_data["functionRunId"],
triggers=test_automation_run_data["triggers"],
)
@pytest.fixture()
def test_automation_run_data(
speckle_client: SpeckleClient,
test_automation_environment: TestAutomationEnvironment,
) -> AutomationRunData:
return create_test_automation_run_data(speckle_client, test_automation_environment)
__all__ = [
"test_automation_environment",
"test_automation_token",
"speckle_client",
"test_automation_run",
"test_automation_run_data",
]
-194
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@@ -1,194 +0,0 @@
"""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
-98
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@@ -1,98 +0,0 @@
""""""
from enum import Enum
from typing import Any, Dict, List, Literal, Optional
from pydantic import BaseModel, ConfigDict, Field
from pydantic.alias_generators import to_camel
class AutomateBase(BaseModel):
"""Use this class as a base model for automate related DTO."""
model_config = ConfigDict(alias_generator=to_camel, populate_by_name=True)
class VersionCreationTriggerPayload(AutomateBase):
"""Represents the version creation trigger payload."""
model_id: str
version_id: str
class VersionCreationTrigger(AutomateBase):
"""Represents a single version creation trigger for the automation run."""
trigger_type: Literal["versionCreation"]
payload: VersionCreationTriggerPayload
class AutomationRunData(BaseModel):
"""Values of the project / model that triggered the run of this function."""
project_id: str
speckle_server_url: str
automation_id: str
automation_run_id: str
function_run_id: str
triggers: List[VersionCreationTrigger]
model_config = ConfigDict(
alias_generator=to_camel, populate_by_name=True, protected_namespaces=()
)
class TestAutomationRunData(BaseModel):
"""Values of the run created in the test automation for local test results."""
automation_run_id: str
function_run_id: str
triggers: List[VersionCreationTrigger]
model_config = ConfigDict(
alias_generator=to_camel, populate_by_name=True, protected_namespaces=()
)
class AutomationStatus(str, Enum):
"""Set the status of the automation."""
INITIALIZING = "INITIALIZING"
RUNNING = "RUNNING"
FAILED = "FAILED"
SUCCEEDED = "SUCCEEDED"
EXCEPTION = "EXCEPTION"
class ObjectResultLevel(str, Enum):
"""Possible status message levels for object reports."""
SUCCESS = "SUCCESS"
INFO = "INFO"
WARNING = "WARNING"
ERROR = "ERROR"
class ResultCase(AutomateBase):
"""A result case."""
category: str
level: ObjectResultLevel
object_app_ids: Dict[str, Optional[str]]
message: Optional[str]
metadata: Optional[Dict[str, Any]]
visual_overrides: Optional[Dict[str, Any]]
class AutomationResult(AutomateBase):
"""Schema accepted by the Speckle server as a result for an automation run."""
elapsed: float = 0
result_view: Optional[str] = None
result_versions: List[str] = Field(default_factory=list)
blobs: List[str] = Field(default_factory=list)
run_status: AutomationStatus = AutomationStatus.RUNNING
status_message: Optional[str] = None
object_results: list[ResultCase] = Field(default_factory=list)
-61
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@@ -1,61 +0,0 @@
import json
import time
import traceback
from argparse import ArgumentParser
from os import getenv
from speckleifc.main import open_and_convert_file
from specklepy.core.api.client import SpeckleClient
from specklepy.logging import metrics
def cmd_line_import() -> None:
parser = ArgumentParser(
prog="speckleifc",
description="imports a file",
)
parser.add_argument("file_path")
parser.add_argument("output_path")
parser.add_argument("project_id")
parser.add_argument("version_message")
parser.add_argument("model_id")
# parser.add_argument("model_name")
# parser.add_argument("region_name")
args = parser.parse_args()
TOKEN = getenv("USER_TOKEN")
assert TOKEN is not None
SERVER_URL = getenv("SPECKLE_SERVER_URL") or "http://127.0.0.1:3000"
metrics.set_host_app(
"ifc",
)
try:
client = SpeckleClient(SERVER_URL, use_ssl=not SERVER_URL.startswith("http://"))
client.authenticate_with_token(TOKEN)
project = client.project.get(args.project_id)
version = open_and_convert_file(
args.file_path,
project,
args.version_message,
args.model_id,
client,
)
with open(args.output_path, "w") as f:
json.dump({"success": True, "commitId": version.id}, f)
except Exception as e:
error_msg = f"IFC Importer failed with exception:\n{traceback.format_exc()}"
print(error_msg)
# Write error result
with open(args.output_path, "w") as f:
json.dump({"success": False, "error": str(e)}, f)
if __name__ == "__main__":
start = time.time()
cmd_line_import()
print(f"Total time (including cleanup): {(time.time() - start) * 1000}ms")
@@ -1,35 +0,0 @@
from typing import cast
from ifcopenshell.entity_instance import entity_instance
from speckleifc.property_extraction import extract_properties
from specklepy.objects.base import Base
from specklepy.objects.data_objects import DataObject
def data_object_to_speckle(
display_value: list[Base],
step_element: entity_instance,
children: list[Base],
current_storey: str | None = None,
) -> DataObject:
guid = cast(str, step_element.GlobalId)
name = cast(str, step_element.Name or guid)
properties = extract_properties(step_element)
# Add building storey information if available and not a building storey itself
if current_storey and not step_element.is_a("IfcBuildingStorey"):
properties["Building Storey"] = current_storey
data_object = DataObject(
applicationId=guid,
properties=properties,
name=name or guid,
displayValue=display_value,
)
data_object["@elements"] = children
data_object["ifcType"] = step_element.is_a()
return data_object
@@ -1,130 +0,0 @@
from collections import defaultdict
from collections.abc import Sequence
from typing import cast
from ifcopenshell.ifcopenshell_wrapper import (
Triangulation,
TriangulationElement,
colour,
style,
)
from speckleifc.render_material_proxy_manager import RenderMaterialProxyManager
from specklepy.objects.base import Base
from specklepy.objects.geometry import Mesh
from specklepy.objects.other import RenderMaterial
def geometry_to_speckle(
shape: TriangulationElement, render_material_manager: RenderMaterialProxyManager
) -> list[Base]:
geometry = cast(Triangulation, shape.geometry)
materials = cast(Sequence[style], geometry.materials)
MESH_COUNT = max(len(materials), 1)
material_ids = cast(Sequence[int], geometry.material_ids)
faces = cast(Sequence[int], geometry.faces)
verts = cast(Sequence[float], geometry.verts)
normals = cast(Sequence[float], geometry.normals)
FACE_COUNT = len(material_ids)
if len(faces) != FACE_COUNT * 3 or FACE_COUNT == 0:
# Not really expected, but occasionally some meshes fail to triangulate
return []
mapped_meshes = _pre_alloc_mesh_lists(shape, material_ids, MESH_COUNT)
for i, mesh in enumerate(mapped_meshes):
material = _material_to_speckle(materials[i])
render_material_manager.add_mesh_material_mapping(material, mesh)
mapped_faces_pointers = [0] * MESH_COUNT
mapped_vertices_pointers = [0] * MESH_COUNT
mapped_index_counters = [0] * MESH_COUNT
i = 0
face_index = 0
while i < FACE_COUNT:
mesh_index = material_ids[i]
mesh: Mesh = mapped_meshes[mesh_index]
face_ptr = mapped_faces_pointers[mesh_index]
vert_ptr = mapped_vertices_pointers[mesh_index]
# Add triangle
mesh.faces[face_ptr] = 3
for j in range(3):
# Add vert
mesh.faces[face_ptr + 1 + j] = mapped_index_counters[mesh_index] + j
vert_index = faces[face_index + j] * 3
mapped_vert_offset = vert_ptr + (j * 3)
mesh.vertices[mapped_vert_offset] = verts[vert_index]
mesh.vertices[mapped_vert_offset + 1] = verts[vert_index + 1]
mesh.vertices[mapped_vert_offset + 2] = verts[vert_index + 2]
mesh.vertexNormals[mapped_vert_offset] = normals[vert_index]
mesh.vertexNormals[mapped_vert_offset + 1] = normals[vert_index + 1]
mesh.vertexNormals[mapped_vert_offset + 2] = normals[vert_index + 2]
i += 1
face_index += 3 # number of items in the faces list we just jumped over
mapped_index_counters[mesh_index] += (
3 # number of verts we just added to the mesh.vertices i.e. the next index
)
mapped_faces_pointers[mesh_index] += (
4 # number of item's we've just added to the mesh.faces list
)
mapped_vertices_pointers[mesh_index] += (
9 # number of item's we've just added to the mesh.vertices list
)
return mapped_meshes # type: ignore
def _material_to_speckle(material: style) -> RenderMaterial:
return RenderMaterial(
applicationId=material.calc_hash(),
name=material.name,
diffuse=_color_to_argb(material.diffuse),
opacity=1 - material.transparency if material.has_transparency() else 1,
)
def _color_to_argb(colour: colour) -> int:
# Clamp values to [0, 1] and convert to 0255
a_int = 255
r_int = max(0, min(255, int(round(colour.r() * 255))))
g_int = max(0, min(255, int(round(colour.g() * 255))))
b_int = max(0, min(255, int(round(colour.b() * 255))))
return (a_int << 24) | (r_int << 16) | (g_int << 8) | b_int
def _pre_alloc_mesh_lists(
shape: TriangulationElement, material_ids: Sequence[int], MESH_COUNT: int
) -> list[Mesh]:
"""
This is a performance optimisation to pre-size the lists
since we're expecting potential hundreds of thousands of verts in a single model
This is very much in the hot path, so worth the extra bit of convoluted logic
"""
appId = cast(str, shape.guid)
material_face_counts = defaultdict(int)
for mat_id in material_ids:
material_face_counts[mat_id] += 1
meshes = []
for mat_id in range(MESH_COUNT):
face_count = material_face_counts.get(mat_id, 0)
mesh = Mesh(
units="m",
vertices=[-1] * (face_count * 9),
vertexNormals=[-1] * (face_count * 9),
faces=[-1] * (face_count * 4), # 1 marker + 3 vertex indices
applicationId=f"{appId}_mat{mat_id}",
)
meshes.append(mesh)
return meshes
@@ -1,23 +0,0 @@
from typing import cast
from ifcopenshell.entity_instance import entity_instance
from specklepy.objects.base import Base
from specklepy.objects.models.collections.collection import Collection
def project_to_speckle(
step_element: entity_instance, children: list[Base]
) -> Collection:
guid = cast(str, step_element.GlobalId)
name = cast(str, step_element.Name or step_element.LongName or guid)
project = Collection(applicationId=guid, name=name, elements=children)
project["ifcType"] = step_element.is_a()
project["description"] = step_element.Description
project["objectType"] = step_element.ObjectType
project["longName"] = step_element.LongName
project["phase"] = step_element.Phase
return project
@@ -1,54 +0,0 @@
from typing import cast
from ifcopenshell.entity_instance import entity_instance
from speckleifc.property_extraction import extract_properties
from specklepy.objects.base import Base
from specklepy.objects.data_objects import DataObject
from specklepy.objects.models.collections.collection import Collection
def spatial_element_to_speckle(
display_value: list[Base],
step_element: entity_instance,
relational_children: list[Base],
current_storey: str | None = None,
) -> Collection:
direct_geometry = _convert_as_data_object(
display_value, step_element, current_storey
)
all_children = [direct_geometry] + relational_children
guid = cast(str, step_element.GlobalId)
name = cast(str, step_element.Name or step_element.LongName or guid)
data_object = Collection(applicationId=guid, name=name, elements=all_children)
data_object["ifcType"] = step_element.is_a()
return data_object
def _convert_as_data_object(
display_value: list[Base],
step_element: entity_instance,
current_storey: str | None = None,
) -> DataObject:
guid = cast(str, step_element.GlobalId)
name = cast(str, step_element.Name or step_element.LongName or guid)
properties = extract_properties(step_element)
# Add building storey information if available and not a building storey itself
if current_storey and not step_element.is_a("IfcBuildingStorey"):
properties["Building Storey"] = current_storey
data_object = DataObject(
applicationId=guid,
properties=properties,
name=name,
displayValue=display_value,
)
data_object["ifcType"] = step_element.is_a()
return data_object
-52
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@@ -1,52 +0,0 @@
import multiprocessing
from ifcopenshell import SchemaError, file, ifcopenshell_wrapper, open, sqlite
from ifcopenshell.geom import iterator, settings
from specklepy.logging.exceptions import SpeckleException
def _create_iterator_settings() -> settings:
ifc_settings = settings()
# triangles for now, speckle does support n-gons, but may be less performant
ifc_settings.set("triangulation-type", ifcopenshell_wrapper.TRIANGLE_MESH)
# no need to weld verts
ifc_settings.set("weld-vertices", False)
# Speckle meshes are all in world coords
ifc_settings.set("use-world-coords", True)
# Tiny performance improvement,
ifc_settings.set("no-wire-intersection-check", True)
# Rendermaterials inherit the material names instead of type + unique id
ifc_settings.set("use-material-names", True)
# IfcOpenshell defaults to 0.001mm here, which leads to very dense meshes.
# lowering the mesh quality a bit here leads to meshes
# that are still much higher quality than webifc
# We still need to experiment with the affect on memory usage
# It may be desirable to lower this further, and increase the angular deflection
# to compensate. This would allow large meshes to be lower quality,
# while keeping small meshes relatively similar.
ifc_settings.set("mesher-linear-deflection", 0.2)
return ifc_settings
def open_ifc(file_path: str) -> file:
try:
ifc_file = open(file_path)
except SchemaError:
raise
except FileNotFoundError:
raise
except Exception as ex:
raise SpeckleException("File could not be opened as an IFC file") from ex
if isinstance(ifc_file, file):
return ifc_file
else:
raise SpeckleException(f"file at {file_path} is not a compatible ifc file type")
def create_geometry_iterator(ifc_file: file | sqlite) -> iterator:
return iterator(_create_iterator_settings(), ifc_file, multiprocessing.cpu_count())
-31
View File
@@ -1,31 +0,0 @@
from collections.abc import Generator, Iterable
from itertools import chain
from typing import cast
from ifcopenshell.entity_instance import entity_instance
def get_children(step_element: entity_instance) -> Generator[entity_instance]:
yield from chain(
get_spatial_children(step_element), get_aggregate_children(step_element)
)
def get_spatial_children(step_element: entity_instance) -> Generator[entity_instance]:
spatial_relations = cast(
Iterable[entity_instance] | None,
getattr(step_element, "ContainsElements", None),
)
if spatial_relations is not None:
for relation in spatial_relations:
yield from cast(Iterable[entity_instance], relation.RelatedElements)
def get_aggregate_children(step_element: entity_instance) -> Generator[entity_instance]:
aggregate_relations = cast(
Iterable[entity_instance] | None,
getattr(step_element, "IsDecomposedBy", None),
)
if aggregate_relations is not None:
for relation in aggregate_relations:
yield from cast(Iterable[entity_instance], relation.RelatedObjects)
-156
View File
@@ -1,156 +0,0 @@
import time
from dataclasses import dataclass, field
from typing import cast
from ifcopenshell.entity_instance import entity_instance
from ifcopenshell.geom import file
from ifcopenshell.ifcopenshell_wrapper import TriangulationElement
from speckleifc.converter.data_object_converter import data_object_to_speckle
from speckleifc.converter.geometry_converter import geometry_to_speckle
from speckleifc.converter.project_converter import project_to_speckle
from speckleifc.converter.spatial_element_converter import spatial_element_to_speckle
from speckleifc.ifc_geometry_processing import create_geometry_iterator
from speckleifc.ifc_openshell_helpers import get_children
from speckleifc.level_proxy_manager import LevelProxyManager
from speckleifc.render_material_proxy_manager import RenderMaterialProxyManager
from specklepy.logging.exceptions import SpeckleException
from specklepy.objects import Base
from specklepy.objects.data_objects import DataObject
@dataclass
class ImportJob:
ifc_file: file
cached_display_values: dict[int, list[Base]] = field(default_factory=dict) # noqa: F821
_render_material_manager: RenderMaterialProxyManager = field(
default_factory=lambda: RenderMaterialProxyManager()
)
_level_proxy_manager: LevelProxyManager = field(
default_factory=lambda: LevelProxyManager()
)
geometries_count: int = 0
geometries_used: int = 0
_current_storey_data_object: DataObject | None = field(default=None, init=False)
def convert_element(self, step_element: entity_instance) -> Base:
try:
return self._convert_element(step_element)
except SpeckleException:
raise
except Exception as ex:
raise SpeckleException(
f"Failed to convert {step_element.is_a()} #{step_element.id()}"
) from ex
def _convert_element(self, step_element: entity_instance) -> Base:
# Track current storey context and store for level proxies
previous_storey_data_object = self._current_storey_data_object
if step_element.is_a("IfcBuildingStorey"):
# Convert the building storey to a DataObject for the level proxy
storey_display_value = self.cached_display_values.get(step_element.id(), [])
self._current_storey_data_object = data_object_to_speckle(
storey_display_value, step_element, []
)
children = self._convert_children(step_element)
id = step_element.id()
display_value = self.cached_display_values.get(id, [])
if display_value:
self.geometries_used += 1
# Extract current storey name from DataObject if available
current_storey_name = (
self._current_storey_data_object.name
if self._current_storey_data_object
else None
)
if step_element.is_a("IfcProject"):
result = project_to_speckle(step_element, children)
elif step_element.is_a("IfcSpatialStructureElement"):
result = spatial_element_to_speckle(
display_value, step_element, children, current_storey_name
)
else:
result = data_object_to_speckle(
display_value, step_element, children, current_storey_name
)
# Associate non-spatial elements with current storey for level proxies
if self._current_storey_data_object is not None and result.applicationId:
self._level_proxy_manager.add_element_level_mapping(
self._current_storey_data_object, result.applicationId
)
# Restore previous storey context
self._current_storey_data_object = previous_storey_data_object
return result
def _convert_children(self, step_element: entity_instance) -> list[Base]:
return [
self.convert_element(i)
for i in get_children(step_element)
if self._should_convert(i)
]
@staticmethod
def _should_convert(step_element: entity_instance) -> bool:
# We only consider IfcRoot objects convertible
# This is the super class for root level entities that have a GUID...
# This will ignore some types like IfcGridAxis
s = step_element.is_a("IfcRoot")
if not s:
print(
f"Skipping #{step_element.id()} because it's type ({step_element.is_a()}) it not an IfcRoot" # noqa: E501
)
return s
def convert(self) -> Base:
start = time.time()
self.pre_process_geometry()
print(f"Geometry conversion complete after {(time.time() - start) * 1000}ms")
print(f"Created {self.geometries_count} geometries")
start = time.time()
root = self._convert_project_tree()
print(f"Object tree conversion complete after {(time.time() - start) * 1000}ms")
print(f"Used {self.geometries_used} geometries")
return root
def pre_process_geometry(self) -> None:
iterator = create_geometry_iterator(self.ifc_file)
if not iterator.initialize():
raise SpeckleException("Failed to find any geometry in file")
self.geometries_count = 0
while True:
shape = cast(TriangulationElement, iterator.get())
self.geometries_count += 1
id = cast(int, shape.id)
try:
display_value = geometry_to_speckle(
shape, self._render_material_manager
)
self.cached_display_values[id] = display_value
except Exception as ex:
raise SpeckleException(
f"Failed to convert geometry with id: {id}"
) from ex
if not iterator.next():
break
def _convert_project_tree(self) -> Base:
projects = self.ifc_file.by_type("IfcProject", False)
if len(projects) != 1:
raise SpeckleException("Expected exactly one IfcProject in file")
project = projects[0]
tree = self.convert_element(project)
tree["renderMaterialProxies"] = list(
self._render_material_manager.render_material_proxies.values()
)
tree["levelProxies"] = list(self._level_proxy_manager.level_proxies.values())
tree["version"] = 3
return tree
-27
View File
@@ -1,27 +0,0 @@
from specklepy.objects.data_objects import DataObject
from specklepy.objects.proxies import LevelProxy
class LevelProxyManager:
def __init__(self):
self._level_proxies: dict[str, LevelProxy] = {}
@property
def level_proxies(self):
return self._level_proxies
def add_element_level_mapping(
self, level_data_object: DataObject, element_application_id: str
) -> None:
level_id = level_data_object.applicationId
assert level_id is not None
proxy = self._level_proxies.get(level_id, None)
if proxy is not None:
proxy.objects.append(element_application_id)
else:
self._level_proxies[level_id] = LevelProxy(
objects=[element_application_id],
value=level_data_object,
applicationId=level_id,
)
@@ -1,621 +0,0 @@
GNU GENERAL PUBLIC LICENSE
Version 3, 29 June 2007
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If conditions are imposed on you (whether by court order, agreement or
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covered work so as to satisfy simultaneously your obligations under this
License and any other pertinent obligations, then as a consequence you may
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to collect a royalty for further conveying from those to whom you convey
the Program, the only way you could satisfy both those terms and this
License would be to refrain entirely from conveying the Program.
13. Use with the GNU Affero General Public License.
Notwithstanding any other provision of this License, you have
permission to link or combine any covered work with a work licensed
under version 3 of the GNU Affero General Public License into a single
combined work, and to convey the resulting work. The terms of this
License will continue to apply to the part which is the covered work,
but the special requirements of the GNU Affero General Public License,
section 13, concerning interaction through a network will apply to the
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14. Revised Versions of this License.
The Free Software Foundation may publish revised and/or new versions of
the GNU General Public License from time to time. Such new versions will
be similar in spirit to the present version, but may differ in detail to
address new problems or concerns.
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Program specifies that a certain numbered version of the GNU General
Public License "or any later version" applies to it, you have the
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If the Program specifies that a proxy can decide which future
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THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY
APPLICABLE LAW. EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT
HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY
OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO,
THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
PURPOSE. THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM
IS WITH YOU. SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF
ALL NECESSARY SERVICING, REPAIR OR CORRECTION.
16. Limitation of Liability.
IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING
WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS
THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY
GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE
USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF
DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD
PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS),
EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF
SUCH DAMAGES.
17. Interpretation of Sections 15 and 16.
If the disclaimer of warranty and limitation of liability provided
above cannot be given local legal effect according to their terms,
reviewing courts shall apply local law that most closely approximates
an absolute waiver of all civil liability in connection with the
Program, unless a warranty or assumption of liability accompanies a
copy of the Program in return for a fee.
END OF TERMS AND CONDITIONS
@@ -1,165 +0,0 @@
GNU LESSER GENERAL PUBLIC LICENSE
Version 3, 29 June 2007
Copyright (C) 2007 Free Software Foundation, Inc. <https://fsf.org/>
Everyone is permitted to copy and distribute verbatim copies
of this license document, but changing it is not allowed.
This version of the GNU Lesser General Public License incorporates
the terms and conditions of version 3 of the GNU General Public
License, supplemented by the additional permissions listed below.
0. Additional Definitions.
As used herein, "this License" refers to version 3 of the GNU Lesser
General Public License, and the "GNU GPL" refers to version 3 of the GNU
General Public License.
"The Library" refers to a covered work governed by this License,
other than an Application or a Combined Work as defined below.
An "Application" is any work that makes use of an interface provided
by the Library, but which is not otherwise based on the Library.
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A "Combined Work" is a work produced by combining or linking an
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The "Minimal Corresponding Source" for a Combined Work means the
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The "Corresponding Application Code" for a Combined Work means the
object code and/or source code for the Application, including any data
and utility programs needed for reproducing the Combined Work from the
Application, but excluding the System Libraries of the Combined Work.
1. Exception to Section 3 of the GNU GPL.
You may convey a covered work under sections 3 and 4 of this License
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2. Conveying Modified Versions.
If you modify a copy of the Library, and, in your modifications, a
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recombine or relink the Application with a modified version of
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Code. If you use option 4d1, you must provide the Installation
Information in the manner specified by section 6 of the GNU GPL
for conveying Corresponding Source.)
5. Combined Libraries.
You may place library facilities that are a work based on the
Library side by side in a single library together with other library
facilities that are not Applications and are not covered by this
License, and convey such a combined library under terms of your
choice, if you do both of the following:
a) Accompany the combined library with a copy of the same work based
on the Library, uncombined with any other library facilities,
conveyed under the terms of this License.
b) Give prominent notice with the combined library that part of it
is a work based on the Library, and explaining where to find the
accompanying uncombined form of the same work.
6. Revised Versions of the GNU Lesser General Public License.
The Free Software Foundation may publish revised and/or new versions
of the GNU Lesser General Public License from time to time. Such new
versions will be similar in spirit to the present version, but may
differ in detail to address new problems or concerns.
Each version is given a distinguishing version number. If the
Library as you received it specifies that a certain numbered version
of the GNU Lesser General Public License "or any later version"
applies to it, you have the option of following the terms and
conditions either of that published version or of any later version
published by the Free Software Foundation. If the Library as you
received it does not specify a version number of the GNU Lesser
General Public License, you may choose any version of the GNU Lesser
General Public License ever published by the Free Software Foundation.
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-30
View File
@@ -1,30 +0,0 @@
# Third-Party Licenses
This directory contains license files for third-party dependencies used by specklepy.
## IfcOpenShell
IfcOpenShell is an optional dependency available through the `speckleifc` extra:
```bash
pip install specklepy[speckleifc]
```
IfcOpenShell is dual-licensed under:
- **LGPL-3.0** (`IfcOpenShell-LGPL-3.0.txt`) - GNU Lesser General Public License v3.0
- **GPL-3.0** (`IfcOpenShell-GPL-3.0.txt`) - GNU General Public License v3.0
### About IfcOpenShell
IfcOpenShell is an open source software library for working with Industry Foundation Classes (IFC). It provides complete parsing support for IFC2x3 TC1, IFC4 Add2 TC1, IFC4x1, IFC4x2, and IFC4x3 Add2.
- **Project**: https://github.com/IfcOpenShell/IfcOpenShell
- **Documentation**: https://docs.ifcopenshell.org/
- **License**: LGPL-3.0-or-later, GPL-3.0-or-later
When using specklepy with IfcOpenShell, you must comply with the terms of these licenses.
## License Compatibility
specklepy is licensed under Apache-2.0, which is compatible with LGPL-3.0 for dynamic linking scenarios (which is how IfcOpenShell is used as an optional dependency).
-61
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@@ -1,61 +0,0 @@
import time
from speckleifc.ifc_geometry_processing import open_ifc
from speckleifc.importer import ImportJob
from specklepy.core.api.client import SpeckleClient
from specklepy.core.api.inputs.version_inputs import CreateVersionInput
from specklepy.core.api.models.current import Project, Version
from specklepy.core.api.operations import send
from specklepy.logging import metrics
from specklepy.transports.server import ServerTransport
def open_and_convert_file(
file_path: str,
project: Project,
version_message: str | None,
model_id: str,
client: SpeckleClient,
) -> Version:
start = time.time()
very_start = start
account = client.account
server_url = account.serverInfo.url
assert server_url
remote_transport = ServerTransport(project.id, account=account)
ifc_file = open_ifc(file_path) # pyright: ignore[reportUnknownVariableType]
import_job = ImportJob(ifc_file) # pyright: ignore[reportUnknownArgumentType]
data = import_job.convert()
print(f"File conversion complete after {(time.time() - start) * 1000}ms")
start = time.time()
root_id = send(data, transports=[remote_transport], use_default_cache=False)
print(f"Sending to speckle complete after: {(time.time() - start) * 1000}ms")
start = time.time()
create_version = CreateVersionInput(
object_id=root_id,
model_id=model_id,
project_id=project.id,
message=version_message,
source_application="ifc",
)
version = client.version.create(create_version)
end = time.time()
print(f"Version committed after: {(end - start) * 1000}ms")
print(f"Total time (to commit): {(end - very_start) * 1000}ms")
del ifc_file
custom_properties = {"ui": "dui3", "actionSource": "import"}
if project.workspace_id:
custom_properties["workspace_id"] = project.workspace_id
metrics.track(metrics.SEND, account, custom_properties)
return version
-197
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@@ -1,197 +0,0 @@
import math
from typing import Any, Tuple
from ifcopenshell.entity_instance import entity_instance
from ifcopenshell.util.element import get_type
from ifcopenshell.util.unit import get_full_unit_name, get_project_unit
UNIT_MAPPING = {
"IfcQuantityLength": "LENGTHUNIT",
"IfcQuantityArea": "AREAUNIT",
"IfcQuantityVolume": "VOLUMEUNIT",
"IfcQuantityCount": None, # Count quantities have no units
"IfcQuantityWeight": "MASSUNIT",
"IfcQuantityTime": "TIMEUNIT",
}
def extract_properties(element: entity_instance) -> dict[str, object]:
(psets, qtos) = _get_ifc_object_properties(element)
properties: dict[str, object] = {
"Attributes": _get_attributes(element),
"Property Sets": psets,
}
if qtos:
properties["Quantities"] = qtos
if (ifc_type := get_type(element)) is not None:
properties["Element Type Property Sets"] = _get_ifc_element_type_properties(
ifc_type,
)
properties["Element Type Attributes"] = _get_attributes(
ifc_type,
)
return properties
def _get_attributes(element: entity_instance) -> dict[str, object]:
return element.get_info(True, False, scalar_only=True)
def _get_ifc_element_type_properties(element: entity_instance) -> dict[str, object]:
result: dict[str, object] = {}
for definition in element.HasPropertySets or []:
if not definition.is_a("IfcPropertySet"):
continue
result[definition.Name] = _get_properties(definition.HasProperties)
return result
def _get_ifc_object_properties(
element: entity_instance,
) -> Tuple[dict[str, object], dict[str, object]]:
psets: dict[str, object] = {}
qtos: dict[str, object] = {}
for rel in getattr(element, "IsDefinedBy", []):
if not rel.is_a("IfcRelDefinesByProperties"):
continue
definition: entity_instance | None = rel.RelatingPropertyDefinition
if not definition:
continue
try:
if definition.is_a("IfcPropertySet"):
set_name = definition.Name
properties = _get_properties(definition.HasProperties)
if properties:
psets[set_name] = properties
elif definition.is_a("IfcElementQuantity"):
quantities_data = _get_quantities(definition.Quantities, element)
if not quantities_data:
continue
quantities_data["id"] = definition.id()
qtos[definition.Name] = quantities_data
except (KeyError, AttributeError):
# If entity access fails, skip this quantity set
print(f"Skipping {definition}")
continue
return (psets, qtos)
def _get_properties(properties: entity_instance) -> dict[str, Any]:
"""
There already exists a canonical way to get properties
`ifcopenshell.util.element.get_properties` but it's very verbose
and we don't want to bloat our selves with supporting complex property types
This is a slimmed down version, only supporting a couple of property types
"""
result: dict[str, Any] = {}
for prop in properties:
name = prop.Name
if prop.is_a("IfcPropertySingleValue"):
val = prop.NominalValue
if val is not None:
result[name] = val.wrappedValue if hasattr(val, "wrappedValue") else val
elif prop.is_a("IfcPropertyListValue"):
values = getattr(prop, "ListValues", None)
if values:
result[name] = [
v.wrappedValue if hasattr(v, "wrappedValue") else v for v in values
]
elif prop.is_a("IfcPropertyEnumeratedValue"):
values = getattr(prop, "EnumerationValues", None)
if values:
result[name] = [
v.wrappedValue if hasattr(v, "wrappedValue") else v for v in values
]
# elif prop.is_a("IfcPropertyTableValue"):
# properties[name] = #not sure if we want to support these...
return result
def _get_quantities(
quantities: list[entity_instance], element: entity_instance
) -> dict[str, Any]:
"""Extract quantity values from IfcPhysicalQuantity entities."""
results: dict[str, Any] = {}
for quantity in quantities or []:
quantity_name = quantity.Name
if quantity.is_a("IfcPhysicalSimpleQuantity"):
# Get the quantity value (3rd attribute for simple quantities)
value = getattr(quantity, quantity.attribute_name(3))
unit_info = _get_unit_info(element, quantity)
# Server does not consider `NaN` valid json
if math.isnan(value):
value = None
if unit_info:
# Create structured quantity object with units
results[quantity_name] = {
"name": quantity_name,
"value": value,
**unit_info,
}
else:
# No unit info available, keep as simple value with name
results[quantity_name] = {"name": quantity_name, "value": value}
elif quantity.is_a("IfcPhysicalComplexQuantity"):
# Handle complex quantities
data = {
k: v
for k, v in quantity.get_info().items()
if v is not None and k != "Name"
}
data["properties"] = _get_quantities(quantity.HasQuantities, element)
del data["HasQuantities"]
results[quantity_name] = data
return results
def _get_unit_info(
element: entity_instance, quantity: entity_instance
) -> dict[str, str]:
"""Get unit information for a quantity."""
# Early return for count quantities - they don't have units
quantity_type = quantity.is_a()
if quantity_type == "IfcQuantityCount":
return {}
unit = getattr(element, "Unit", None)
if unit:
# Quantity has its own unit
unit_name = get_full_unit_name(unit)
formatted_unit_name = unit_name.replace("_", " ").title() if unit_name else ""
return {"units": formatted_unit_name}
else:
# Fall back to project unit based on quantity type
unit_type = UNIT_MAPPING.get(quantity_type)
if not unit_type:
return {}
# Get the project unit for this unit type
project_unit = get_project_unit(element.file, unit_type, use_cache=True)
if not project_unit:
return {}
# Get unit name and format
unit_name = get_full_unit_name(project_unit)
formatted_unit_name = unit_name.replace("_", " ").title() if unit_name else ""
return {"units": formatted_unit_name}
@@ -1,28 +0,0 @@
from specklepy.objects.geometry import Mesh
from specklepy.objects.other import RenderMaterial
from specklepy.objects.proxies import RenderMaterialProxy
class RenderMaterialProxyManager:
def __init__(self):
self._render_material_proxies: dict[str, RenderMaterialProxy] = {}
@property
def render_material_proxies(self):
return self._render_material_proxies
def add_mesh_material_mapping(
self, render_material: RenderMaterial, mesh: Mesh
) -> None:
material_id = render_material.applicationId
assert material_id is not None
mesh_id = mesh.applicationId
assert mesh_id is not None
proxy = self._render_material_proxies.get(material_id, None)
if proxy is not None:
proxy.objects.append(mesh_id)
else:
self._render_material_proxies[material_id] = RenderMaterialProxy(
objects=[mesh_id], value=render_material
)
-3
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@@ -1,3 +0,0 @@
# from specklepy import objects
# __all__ = ["objects"]
-161
View File
@@ -1,161 +0,0 @@
import contextlib
from specklepy.api.credentials import Account
from specklepy.api.resources import (
ActiveUserResource,
FileImportResource,
ModelResource,
OtherUserResource,
ProjectInviteResource,
ProjectResource,
ServerResource,
SubscriptionResource,
VersionResource,
WorkspaceResource,
)
from specklepy.core.api.client import SpeckleClient as CoreSpeckleClient
from specklepy.logging import metrics
class SpeckleClient(CoreSpeckleClient):
"""
The `SpeckleClient` is your entry point for interacting with
your Speckle Server's GraphQL API.
You'll need to have access to a server to use it,
or you can use our public server `app.speckle.systems`.
To authenticate the client, you'll need to have downloaded
the [Speckle Manager](https://speckle.guide/#speckle-manager)
and added your account.
```py
from specklepy.api.client import SpeckleClient
from specklepy.core.api.inputs.project_inputs import ProjectCreateInput
from specklepy.api.credentials import get_default_account
# initialise the client
client = SpeckleClient(host="app.speckle.systems") # or whatever your host is
# client = SpeckleClient(host="localhost:3000", use_ssl=False) or use local server
# authenticate the client with an account
# (account has been added in Speckle Manager)
account = get_default_account()
client.authenticate_with_account(account)
# create a new project
input = ProjectCreateInput(name="a shiny new project")
project = self.project.create(input)
# or, use a project id to get an existing project from the server
new_stream = client.project.get("abcdefghij")
```
"""
DEFAULT_HOST = "app.speckle.systems"
USE_SSL = True
def __init__(
self,
host: str = DEFAULT_HOST,
use_ssl: bool = USE_SSL,
verify_certificate: bool = True,
) -> None:
super().__init__(
host=host,
use_ssl=use_ssl,
verify_certificate=verify_certificate,
)
self.account = Account()
def _init_resources(self) -> None:
self.server = ServerResource(
account=self.account, basepath=self.url, client=self.httpclient
)
server_version = None
with contextlib.suppress(Exception):
server_version = self.server.version()
self.other_user = OtherUserResource(
account=self.account,
basepath=self.url,
client=self.httpclient,
server_version=server_version,
)
self.active_user = ActiveUserResource(
account=self.account,
basepath=self.url,
client=self.httpclient,
server_version=server_version,
)
self.project = ProjectResource(
account=self.account,
basepath=self.url,
client=self.httpclient,
server_version=server_version,
)
self.project_invite = ProjectInviteResource(
account=self.account,
basepath=self.url,
client=self.httpclient,
server_version=server_version,
)
self.model = ModelResource(
account=self.account,
basepath=self.url,
client=self.httpclient,
server_version=server_version,
)
self.version = VersionResource(
account=self.account,
basepath=self.url,
client=self.httpclient,
server_version=server_version,
)
self.workspace = WorkspaceResource(
account=self.account,
basepath=self.url,
client=self.httpclient,
server_version=server_version,
)
self.file_import = FileImportResource(
account=self.account,
basepath=self.url,
client=self.httpclient,
server_version=server_version,
)
self.subscription = SubscriptionResource(
account=self.account,
basepath=self.ws_url,
client=self.wsclient,
# todo: why doesn't this take a server version
)
def authenticate_with_token(self, token: str) -> None:
"""
Authenticate the client using a personal access token.
The token is saved in the client object and a synchronous GraphQL
entrypoint is created
Arguments:
token {str} -- an api token
"""
metrics.track(
metrics.SDK, self.account, {"name": "Client Authenticate With Token"}
)
return super().authenticate_with_token(token)
def authenticate_with_account(self, account: Account) -> None:
"""Authenticate the client using an Account object
The account is saved in the client object and a synchronous GraphQL
entrypoint is created
Arguments:
account {Account} -- the account object which can be found with
`get_default_account` or `get_local_accounts`
"""
metrics.track(
metrics.SDK, self.account, {"name": "Client Authenticate With Account"}
)
return super().authenticate_with_account(account)
-74
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@@ -1,74 +0,0 @@
# following imports seem to be unnecessary, but they need to stay
# to not break the scripts using these functions as non-core
from specklepy.core.api.credentials import ( # noqa: F401
Account,
StreamWrapper, # noqa: F401
UserInfo,
)
from specklepy.core.api.credentials import (
get_account_from_token as core_get_account_from_token,
)
from specklepy.core.api.credentials import get_local_accounts as core_get_local_accounts
from specklepy.logging import metrics
def get_local_accounts(base_path: str | None = None) -> list[Account]:
"""Gets all the accounts present in this environment
Arguments:
base_path {str} -- custom base path if you are not using the system default
Returns:
List[Account] -- list of all local accounts or an empty list if
no accounts were found
"""
accounts = core_get_local_accounts(base_path)
metrics.track(
metrics.SDK,
next(
(acc for acc in accounts if acc.isDefault),
accounts[0] if accounts else None,
),
{"name": "Get Local Accounts"},
)
return accounts
def get_default_account(base_path: str | None = None) -> Account | None:
"""
Gets this environment's default account if any. If there is no default,
the first found will be returned and set as default.
Arguments:
base_path {str} -- custom base path if you are not using the system default
Returns:
Account -- the default account or None if no local accounts were found
"""
accounts = core_get_local_accounts(base_path=base_path)
if not accounts:
return None
default = next((acc for acc in accounts if acc.isDefault), None)
if not default:
default = accounts[0]
default.isDefault = True
metrics.initialise_tracker(default)
return default
def get_account_from_token(token: str, server_url: str | None = None) -> Account:
"""Gets the local account for the token if it exists
Arguments:
token {str} -- the api token
Returns:
Account -- the local account with this token or a shell account containing
just the token and url if no local account is found
"""
account = core_get_account_from_token(token, server_url)
metrics.track(metrics.SDK, account, {"name": "Get Account From Token"})
return account
-74
View File
@@ -1,74 +0,0 @@
from specklepy.core.api.host_applications import (
ARCGIS,
ARCHICAD,
AUTOCAD,
BLENDER,
CIVIL,
CSIBRIDGE,
DXF,
DYNAMO,
ETABS,
EXCEL,
GRASSHOPPER,
GSA,
MICROSTATION,
NET,
OPENBUILDINGS,
OPENRAIL,
OPENROADS,
OTHER,
POWERBI,
PYTHON,
QGIS,
REVIT,
RHINO,
SAFE,
SAP2000,
SKETCHUP,
TEKLASTRUCTURES,
TOPSOLID,
UNITY,
UNREAL,
HostApplication,
HostAppVersion,
_app_name_host_app_mapping,
get_host_app_from_string,
)
# re-exporting stuff from the moved api module
__all__ = [
"ARCGIS",
"ARCHICAD",
"AUTOCAD",
"BLENDER",
"CIVIL",
"CSIBRIDGE",
"DXF",
"DYNAMO",
"ETABS",
"EXCEL",
"GRASSHOPPER",
"GSA",
"MICROSTATION",
"NET",
"OPENBUILDINGS",
"OPENRAIL",
"OPENROADS",
"OTHER",
"POWERBI",
"PYTHON",
"QGIS",
"REVIT",
"RHINO",
"SAFE",
"SAP2000",
"SKETCHUP",
"TEKLASTRUCTURES",
"TOPSOLID",
"UNITY",
"UNREAL",
"HostApplication",
"HostAppVersion",
"_app_name_host_app_mapping",
"get_host_app_from_string",
]
-15
View File
@@ -1,15 +0,0 @@
# following imports seem to be unnecessary, but they need to stay
# to not break the scripts using these functions as non-core
from specklepy.core.api.models import (
LimitedUser,
PendingStreamCollaborator,
ServerInfo,
User,
)
__all__ = [
"LimitedUser",
"PendingStreamCollaborator",
"ServerInfo",
"User",
]
-101
View File
@@ -1,101 +0,0 @@
from typing import List, Optional
from specklepy.core.api.operations import deserialize as core_deserialize
from specklepy.core.api.operations import receive as _untracked_receive
from specklepy.core.api.operations import send as core_send
from specklepy.core.api.operations import serialize as core_serialize
from specklepy.logging import metrics
from specklepy.objects.base import Base
from specklepy.transports.abstract_transport import AbstractTransport
def send(
base: Base,
transports: Optional[List[AbstractTransport]] = None,
use_default_cache: bool = True,
):
"""Sends an object via the provided transports. Defaults to the local cache.
Arguments:
obj {Base} -- the object you want to send
transports {list} -- where you want to send them
use_default_cache {bool} -- toggle for the default cache.
If set to false, it will only send to the provided transports
Returns:
str -- the object id of the sent object
"""
if transports is None:
metrics.track(metrics.SEND)
else:
metrics.track(metrics.SEND, getattr(transports[0], "account", None))
return core_send(base, transports, use_default_cache)
def receive(
obj_id: str,
remote_transport: Optional[AbstractTransport] = None,
local_transport: Optional[AbstractTransport] = None,
) -> Base:
"""Receives an object from a transport.
Arguments:
obj_id {str} -- the id of the object to receive
remote_transport {Transport} -- the transport to receive from
local_transport {Transport} -- the local cache to check for existing objects
(defaults to `SQLiteTransport`)
Returns:
Base -- the base object
"""
metrics.track(metrics.RECEIVE, getattr(remote_transport, "account", None))
return _untracked_receive(obj_id, remote_transport, local_transport)
def serialize(
base: Base, write_transports: List[AbstractTransport] | None = None
) -> str:
"""
Serialize a base object. If no write transports are provided,
the object will be serialized
without detaching or chunking any of the attributes.
Arguments:
base {Base} -- the object to serialize
write_transports {List[AbstractTransport]}
-- optional: the transports to write to
Returns:
str -- the serialized object
"""
if not write_transports:
write_transports = []
metrics.track(metrics.SDK, custom_props={"name": "Serialize"})
return core_serialize(base, write_transports)
def deserialize(
obj_string: str, read_transport: Optional[AbstractTransport] = None
) -> Base:
"""
Deserialize a string object into a Base object.
If the object contains referenced child objects that are not stored in the local db,
a read transport needs to be provided in order to recompose
the base with the children objects.
Arguments:
obj_string {str} -- the string object to deserialize
read_transport {AbstractTransport}
-- the transport to fetch children objects from
(defaults to SQLiteTransport)
Returns:
Base -- the deserialized object
"""
metrics.track(metrics.SDK, custom_props={"name": "Deserialize"})
return core_deserialize(obj_string, read_transport)
__all__ = ["receive", "send", "serialize", "deserialize"]
-24
View File
@@ -1,24 +0,0 @@
from typing import Any, Optional, Tuple
from gql.client import Client
from specklepy.api.credentials import Account
from specklepy.core.api.resource import ResourceBase as CoreResourceBase
class ResourceBase(CoreResourceBase):
def __init__(
self,
account: Account,
basepath: str,
client: Client,
name: str,
server_version: Optional[Tuple[Any, ...]] = None,
) -> None:
super().__init__(
account=account,
basepath=basepath,
client=client,
name=name,
server_version=server_version,
)
-25
View File
@@ -1,25 +0,0 @@
from specklepy.api.resources.current.active_user_resource import ActiveUserResource
from specklepy.api.resources.current.file_import_resource import FileImportResource
from specklepy.api.resources.current.model_resource import ModelResource
from specklepy.api.resources.current.other_user_resource import OtherUserResource
from specklepy.api.resources.current.project_invite_resource import (
ProjectInviteResource,
)
from specklepy.api.resources.current.project_resource import ProjectResource
from specklepy.api.resources.current.server_resource import ServerResource
from specklepy.api.resources.current.subscription_resource import SubscriptionResource
from specklepy.api.resources.current.version_resource import VersionResource
from specklepy.api.resources.current.workspace_resource import WorkspaceResource
__all__ = [
"FileImportResource",
"ActiveUserResource",
"ModelResource",
"OtherUserResource",
"ProjectInviteResource",
"ProjectResource",
"ServerResource",
"SubscriptionResource",
"VersionResource",
"WorkspaceResource",
]
@@ -1,102 +0,0 @@
from typing import List, Optional
from specklepy.core.api.inputs.user_inputs import (
UserProjectsFilter,
UserUpdateInput,
UserWorkspacesFilter,
)
from specklepy.core.api.models import (
PendingStreamCollaborator,
Project,
ResourceCollection,
User,
)
from specklepy.core.api.models.current import (
LimitedWorkspace,
PermissionCheckResult,
ProjectWithPermissions,
Workspace,
)
from specklepy.core.api.resources import ActiveUserResource as CoreResource
from specklepy.logging import metrics
class ActiveUserResource(CoreResource):
"""API Access class for users. This class provides methods to get and update
the user profile, fetch user activity, and manage pending stream invitations."""
def __init__(self, account, basepath, client, server_version) -> None:
super().__init__(
account=account,
basepath=basepath,
client=client,
server_version=server_version,
)
self.schema = User
def get(self) -> Optional[User]:
metrics.track(metrics.SDK, self.account, {"name": "Active User Get"})
return super().get()
def update(
self,
input: UserUpdateInput,
) -> User:
metrics.track(metrics.SDK, self.account, {"name": "Active User Update"})
return super().update(input=input)
def get_projects(
self,
*,
limit: int = 25,
cursor: Optional[str] = None,
filter: Optional[UserProjectsFilter] = None,
) -> ResourceCollection[Project]:
metrics.track(metrics.SDK, self.account, {"name": "Active User Get Projects"})
return super().get_projects(limit=limit, cursor=cursor, filter=filter)
def get_projects_with_permissions(
self,
*,
limit: int = 25,
cursor: Optional[str] = None,
filter: Optional[UserProjectsFilter] = None,
) -> ResourceCollection[ProjectWithPermissions]:
metrics.track(
metrics.SDK,
self.account,
{"name": "Active User Get Projects With Permissions"},
)
return super().get_projects_with_permissions(
limit=limit, cursor=cursor, filter=filter
)
def get_project_invites(self) -> List[PendingStreamCollaborator]:
metrics.track(
metrics.SDK, self.account, {"name": "Active User Get Project Invites"}
)
return super().get_project_invites()
def can_create_personal_projects(self) -> PermissionCheckResult:
metrics.track(
metrics.SDK,
self.account,
{"name": "Active User Can Create Personal Projects Check"},
)
return super().can_create_personal_projects()
def get_workspaces(
self,
limit: int = 25,
cursor: Optional[str] = None,
filter: Optional[UserWorkspacesFilter] = None,
) -> ResourceCollection[Workspace]:
metrics.track(metrics.SDK, self.account, {"name": "Active User Get Workspaces"})
return super().get_workspaces(limit, cursor, filter)
def get_active_workspace(self) -> Optional[LimitedWorkspace]:
metrics.track(
metrics.SDK, self.account, {"name": "Active User Get Active Workspace"}
)
return super().get_active_workspace()
@@ -1,87 +0,0 @@
from pathlib import Path
from typing_extensions import override
from specklepy.core.api.inputs import (
FinishFileImportInput,
GenerateFileUploadUrlInput,
StartFileImportInput,
)
from specklepy.core.api.models import FileImport, FileUploadUrl
from specklepy.core.api.models.current import ResourceCollection
from specklepy.core.api.resources import FileImportResource as CoreResource
from specklepy.core.api.resources.current.file_import_resource import UploadFileResponse
from specklepy.logging import metrics
class FileImportResource(CoreResource):
"""API Access class for projects"""
def __init__(self, account, basepath, client, server_version) -> None:
super().__init__(
account=account,
basepath=basepath,
client=client,
server_version=server_version,
)
@override
def start_file_import(self, input: StartFileImportInput) -> FileImport:
metrics.track(metrics.SDK, self.account, {"name": "File Import Start"})
return super().start_file_import(input)
@override
def generate_upload_url(self, input: GenerateFileUploadUrlInput) -> FileUploadUrl:
"""
Get a file upload url from the Speckle server.
This method asks the server to create a pre-signed S3 url,
which can be used as a short term authenticated route,
to put a file to the server.
"""
metrics.track(
metrics.SDK, self.account, {"name": "File Import Generate Upload Url"}
)
return super().generate_upload_url(input)
@override
def upload_file(self, file: Path, url: str) -> UploadFileResponse:
"""
Uploads a file to the given S3 url.
This method should be used together with the generate_upload_url method,
which generates a pre-signed S3 url, that can be used to upload the file to.
"""
metrics.track(metrics.SDK, self.account, {"name": "File Import Upload File"})
return super().upload_file(file, url)
@override
def download_file(self, project_id: str, file_id: str, target_file: Path) -> Path:
"""Download a file blob attached to the project, to the target path."""
metrics.track(metrics.SDK, self.account, {"name": "File Import Download File"})
return super().download_file(project_id, file_id, target_file)
@override
def finish_file_import_job(self, input: FinishFileImportInput) -> bool:
"""
This is mostly an internal api, that marks a file import job finished.
Only use this if you are writing a file importer, that is responsible for
processing file import jobs.
"""
metrics.track(metrics.SDK, self.account, {"name": "File Import Finish Job"})
return super().finish_file_import_job(input)
@override
def get_model_file_import_jobs(
self,
*,
project_id: str,
model_id: str,
limit: int = 25,
cursor: str | None = None,
) -> ResourceCollection[FileImport]:
metrics.track(metrics.SDK, self.account, {"name": "File Import Get Model Jobs"})
return super().get_model_file_import_jobs(
project_id=project_id, model_id=model_id, limit=limit, cursor=cursor
)
@@ -1,74 +0,0 @@
from typing import Optional
from specklepy.core.api.inputs.model_inputs import (
CreateModelInput,
DeleteModelInput,
ModelVersionsFilter,
UpdateModelInput,
)
from specklepy.core.api.inputs.project_inputs import ProjectModelsFilter
from specklepy.core.api.models import Model, ModelWithVersions, ResourceCollection
from specklepy.core.api.resources import ModelResource as CoreResource
from specklepy.logging import metrics
class ModelResource(CoreResource):
"""API Access class for models"""
def __init__(self, account, basepath, client, server_version) -> None:
super().__init__(
account=account,
basepath=basepath,
client=client,
server_version=server_version,
)
def get(self, model_id: str, project_id: str) -> Model:
metrics.track(metrics.SDK, self.account, {"name": "Model Get"})
return super().get(model_id, project_id)
def get_with_versions(
self,
model_id: str,
project_id: str,
*,
versions_limit: int = 25,
versions_cursor: Optional[str] = None,
versions_filter: Optional[ModelVersionsFilter] = None,
) -> ModelWithVersions:
metrics.track(metrics.SDK, self.account, {"name": "Model Get With Versions"})
return super().get_with_versions(
model_id,
project_id,
versions_limit=versions_limit,
versions_cursor=versions_cursor,
versions_filter=versions_filter,
)
def get_models(
self,
project_id: str,
*,
models_limit: int = 25,
models_cursor: Optional[str] = None,
models_filter: Optional[ProjectModelsFilter] = None,
) -> ResourceCollection[Model]:
metrics.track(metrics.SDK, self.account, {"name": "Model Get Models"})
return super().get_models(
project_id,
models_limit=models_limit,
models_cursor=models_cursor,
models_filter=models_filter,
)
def create(self, input: CreateModelInput) -> Model:
metrics.track(metrics.SDK, self.account, {"name": "Model Create"})
return super().create(input)
def delete(self, input: DeleteModelInput) -> bool:
metrics.track(metrics.SDK, self.account, {"name": "Model Delete"})
return super().delete(input)
def update(self, input: UpdateModelInput) -> Model:
metrics.track(metrics.SDK, self.account, {"name": "Model Update"})
return super().update(input)
@@ -1,45 +0,0 @@
from typing import Optional
from specklepy.core.api.models import (
LimitedUser,
UserSearchResultCollection,
)
from specklepy.core.api.resources import OtherUserResource as CoreResource
from specklepy.logging import metrics
class OtherUserResource(CoreResource):
"""
Provides API access to other users' profiles and activities on the platform.
This class enables fetching limited information about users,
searching for users by name or email,
and accessing user activity logs with appropriate privacy
and access control measures in place.
"""
def __init__(self, account, basepath, client, server_version) -> None:
super().__init__(
account=account,
basepath=basepath,
client=client,
server_version=(server_version,),
)
self.schema = LimitedUser
def get(self, id: str) -> Optional[LimitedUser]:
metrics.track(metrics.SDK, self.account, {"name": "Other User Get"})
return super().get(id)
def user_search(
self,
query: str,
*,
limit: int = 25,
cursor: Optional[str] = None,
archived: bool = False,
emailOnly: bool = False,
) -> UserSearchResultCollection:
metrics.track(metrics.SDK, self.account, {"name": "Other User Search"})
return super().user_search(
query, limit=limit, cursor=cursor, archived=archived, emailOnly=emailOnly
)
@@ -1,54 +0,0 @@
from typing import Any, Optional, Tuple
from gql import Client
from specklepy.core.api.credentials import Account
from specklepy.core.api.inputs.project_inputs import (
ProjectInviteCreateInput,
ProjectInviteUseInput,
)
from specklepy.core.api.models import PendingStreamCollaborator, ProjectWithTeam
from specklepy.core.api.resources import ProjectInviteResource as CoreResource
from specklepy.logging import metrics
class ProjectInviteResource(CoreResource):
"""API Access class for project invites"""
def __init__(
self,
account: Account,
basepath: str,
client: Client,
server_version: Optional[Tuple[Any, ...]],
) -> None:
super().__init__(
account=account,
basepath=basepath,
client=client,
server_version=server_version,
)
def create(
self, project_id: str, input: ProjectInviteCreateInput
) -> ProjectWithTeam:
metrics.track(metrics.SDK, self.account, {"name": "Project Invite Create"})
return super().create(project_id, input)
def use(self, input: ProjectInviteUseInput) -> bool:
metrics.track(metrics.SDK, self.account, {"name": "Project Invite Use"})
return super().use(input)
def get(
self, project_id: str, token: Optional[str]
) -> Optional[PendingStreamCollaborator]:
metrics.track(metrics.SDK, self.account, {"name": "Project Invite Get"})
return super().get(project_id, token)
def cancel(
self,
project_id: str,
invite_id: str,
) -> ProjectWithTeam:
metrics.track(metrics.SDK, self.account, {"name": "Project Invite Cancel"})
return super().cancel(project_id, invite_id)
@@ -1,79 +0,0 @@
from typing import Optional
from specklepy.core.api.inputs.project_inputs import (
ProjectCreateInput,
ProjectModelsFilter,
ProjectUpdateInput,
ProjectUpdateRoleInput,
WorkspaceProjectCreateInput,
)
from specklepy.core.api.models import (
Project,
ProjectWithModels,
ProjectWithTeam,
)
from specklepy.core.api.models.current import ProjectPermissionChecks
from specklepy.core.api.resources import ProjectResource as CoreResource
from specklepy.logging import metrics
class ProjectResource(CoreResource):
"""API Access class for projects"""
def __init__(self, account, basepath, client, server_version) -> None:
super().__init__(
account=account,
basepath=basepath,
client=client,
server_version=server_version,
)
def get(self, project_id: str) -> Project:
metrics.track(metrics.SDK, self.account, {"name": "Project Get "})
return super().get(project_id)
def get_permissions(self, project_id: str) -> ProjectPermissionChecks:
metrics.track(
metrics.SDK, self.account, {"name": "Project Project Permissions "}
)
return super().get_permissions(project_id)
def get_with_models(
self,
project_id: str,
*,
models_limit: int = 25,
models_cursor: Optional[str] = None,
models_filter: Optional[ProjectModelsFilter] = None,
) -> ProjectWithModels:
metrics.track(metrics.SDK, self.account, {"name": "Project Get With Models"})
return super().get_with_models(
project_id,
models_limit=models_limit,
models_cursor=models_cursor,
models_filter=models_filter,
)
def get_with_team(self, project_id: str) -> ProjectWithTeam:
metrics.track(metrics.SDK, self.account, {"name": "Project Get With Team"})
return super().get_with_team(project_id)
def create(self, input: ProjectCreateInput) -> Project:
metrics.track(metrics.SDK, self.account, {"name": "Project Create"})
return super().create(input)
def create_in_workspace(self, input: WorkspaceProjectCreateInput) -> Project:
metrics.track(metrics.SDK, self.account, {"name": "Workspace Project Create"})
return super().create_in_workspace(input)
def update(self, input: ProjectUpdateInput) -> Project:
metrics.track(metrics.SDK, self.account, {"name": "Project Update"})
return super().update(input)
def delete(self, project_id: str) -> bool:
metrics.track(metrics.SDK, self.account, {"name": "Project Delete"})
return super().delete(project_id)
def update_role(self, input: ProjectUpdateRoleInput) -> ProjectWithTeam:
metrics.track(metrics.SDK, self.account, {"name": "Project Update Role"})
return super().update_role(input)
@@ -1,71 +0,0 @@
from typing import Any, Dict, List, Tuple
from specklepy.api.models import ServerInfo
from specklepy.core.api.resources import ServerResource as CoreResource
from specklepy.logging import metrics
class ServerResource(CoreResource):
"""API Access class for the server"""
def __init__(self, account, basepath, client) -> None:
super().__init__(
account=account,
basepath=basepath,
client=client,
)
def get(self) -> ServerInfo:
"""Get the server info
Returns:
dict -- the server info in dictionary form
"""
metrics.track(metrics.SDK, self.account, {"name": "Server Get"})
return super().get()
def version(self) -> Tuple[Any, ...]:
"""Get the server version
Returns:
the server version in the format (major, minor, patch, (tag, build))
eg (2, 6, 3) for a stable build and (2, 6, 4, 'alpha', 4711) for alpha
"""
# not tracking as it will be called along with other
# mutations / queries as a check
return super().version()
def apps(self) -> Dict:
"""Get the apps registered on the server
Returns:
dict -- a dictionary of apps registered on the server
"""
metrics.track(metrics.SDK, self.account, {"name": "Server Apps"})
return super().apps()
def create_token(self, name: str, scopes: List[str], lifespan: int) -> str:
"""Create a personal API token
Arguments:
scopes {List[str]} -- the scopes to grant with this token
name {str} -- a name for your new token
lifespan {int} -- duration before the token expires
Returns:
str -- the new API token. note: this is the only time you'll see the token!
"""
metrics.track(metrics.SDK, self.account, {"name": "Server Create Token"})
return super().create_token(name, scopes, lifespan)
def revoke_token(self, token: str) -> bool:
"""Revokes (deletes) a personal API token
Arguments:
token {str} -- the token to revoke (delete)
Returns:
bool -- True if the token was successfully deleted
"""
metrics.track(metrics.SDK, self.account, {"name": "Server Revoke Token"})
return super().revoke_token(token)
@@ -1,64 +0,0 @@
from typing import Callable, Optional, Sequence
from pydantic import BaseModel
from typing_extensions import TypeVar
from specklepy.core.api.models import (
ProjectModelsUpdatedMessage,
ProjectUpdatedMessage,
ProjectVersionsUpdatedMessage,
UserProjectsUpdatedMessage,
)
from specklepy.core.api.resources import SubscriptionResource as CoreResource
from specklepy.logging import metrics
TEventArgs = TypeVar("TEventArgs", bound=BaseModel)
class SubscriptionResource(CoreResource):
def __init__(self, account, basepath, client) -> None:
super().__init__(
account=account,
basepath=basepath,
client=client,
)
async def user_projects_updated(
self, callback: Callable[[UserProjectsUpdatedMessage], None]
) -> None:
metrics.track(
metrics.SDK, self.account, {"name": "Subscription Project Models Updated"}
)
return await super().user_projects_updated(callback)
async def project_models_updated(
self,
callback: Callable[[ProjectModelsUpdatedMessage], None],
id: str,
*,
model_ids: Optional[Sequence[str]] = None,
) -> None:
metrics.track(
metrics.SDK, self.account, {"name": "Subscription Project Models Updated"}
)
return await super().project_models_updated(callback, id, model_ids=model_ids)
async def project_updated(
self,
callback: Callable[[ProjectUpdatedMessage], None],
id: str,
) -> None:
metrics.track(
metrics.SDK, self.account, {"name": "Subscription Project Updated"}
)
return await super().project_updated(callback, id)
async def project_versions_updated(
self,
callback: Callable[[ProjectVersionsUpdatedMessage], None],
id: str,
) -> None:
metrics.track(
metrics.SDK, self.account, {"name": "Subscription Project Versions Updated"}
)
return await super().project_versions_updated(callback, id)
@@ -1,63 +0,0 @@
from typing import Optional
from specklepy.core.api.inputs.model_inputs import ModelVersionsFilter
from specklepy.core.api.inputs.version_inputs import (
CreateVersionInput,
DeleteVersionsInput,
MarkReceivedVersionInput,
MoveVersionsInput,
UpdateVersionInput,
)
from specklepy.core.api.models import ResourceCollection, Version
from specklepy.core.api.resources import VersionResource as CoreResource
from specklepy.logging import metrics
class VersionResource(CoreResource):
"""API Access class for model versions"""
def __init__(self, account, basepath, client, server_version) -> None:
super().__init__(
account=account,
basepath=basepath,
client=client,
server_version=server_version,
)
def get(self, version_id: str, project_id: str) -> Version:
metrics.track(metrics.SDK, self.account, {"name": "Version Get"})
return super().get(version_id, project_id)
def get_versions(
self,
model_id: str,
project_id: str,
*,
limit: int = 25,
cursor: Optional[str] = None,
filter: Optional[ModelVersionsFilter] = None,
) -> ResourceCollection[Version]:
metrics.track(metrics.SDK, self.account, {"name": "Version Get Versions"})
return super().get_versions(
model_id, project_id, limit=limit, cursor=cursor, filter=filter
)
def create(self, input: CreateVersionInput) -> Version:
metrics.track(metrics.SDK, self.account, {"name": "Version Create"})
return super().create(input)
def update(self, input: UpdateVersionInput) -> Version:
metrics.track(metrics.SDK, self.account, {"name": "Version Update"})
return super().update(input)
def move_to_model(self, input: MoveVersionsInput) -> str:
metrics.track(metrics.SDK, self.account, {"name": "Version Move To Model"})
return super().move_to_model(input)
def delete(self, input: DeleteVersionsInput) -> bool:
metrics.track(metrics.SDK, self.account, {"name": "Version Delete"})
return super().delete(input)
def received(self, input: MarkReceivedVersionInput) -> bool:
metrics.track(metrics.SDK, self.account, {"name": "Version Received"})
return super().received(input)
@@ -1,53 +0,0 @@
from typing import Optional
from specklepy.core.api.inputs.project_inputs import WorksaceProjectsFilter
from specklepy.core.api.models.current import (
Project,
ProjectWithPermissions,
ResourceCollection,
Workspace,
)
from specklepy.core.api.resources import WorkspaceResource as CoreResource
from specklepy.logging import metrics
class WorkspaceResource(CoreResource):
"""API Access class for workspace"""
def __init__(self, account, basepath, client, server_version) -> None:
super().__init__(
account=account,
basepath=basepath,
client=client,
server_version=server_version,
)
def get(self, workspace_id: str) -> Workspace:
metrics.track(metrics.SDK, self.account, {"name": "Workspace Get"})
return super().get(workspace_id)
def get_projects(
self,
workspace_id: str,
limit: int = 25,
cursor: Optional[str] = None,
filter: Optional[WorksaceProjectsFilter] = None,
) -> ResourceCollection[Project]:
metrics.track(metrics.SDK, self.account, {"name": "Workspace Get Projects"})
return super().get_projects(workspace_id, limit, cursor, filter)
def get_projects_with_permissions(
self,
workspace_id: str,
limit: int = 25,
cursor: Optional[str] = None,
filter: Optional[WorksaceProjectsFilter] = None,
) -> ResourceCollection[ProjectWithPermissions]:
metrics.track(
metrics.SDK,
self.account,
{"name": "Workspace Get Projects With Permissions"},
)
return super().get_projects_with_permissions(
workspace_id, limit, cursor, filter
)
-88
View File
@@ -1,88 +0,0 @@
from specklepy.api.client import SpeckleClient
from specklepy.api.credentials import Account
from specklepy.core.api.wrapper import StreamWrapper as CoreStreamWrapper
from specklepy.logging import metrics
from specklepy.transports.server.server import ServerTransport
class StreamWrapper(CoreStreamWrapper):
"""
The `StreamWrapper` gives you some handy helpers to deal with urls and
get authenticated clients and transports.
Construct a `StreamWrapper` with a URL of a model, version, or object.
The corresponding ids will be stored
in the wrapper. If you have local accounts on the machine,
you can use the `get_account` and `get_client` methods
to get a local account for the server. You can also pass a token into `get_client`
if you don't have a corresponding
local account for the server.
```py
from specklepy.api.wrapper import StreamWrapper
# provide a url for a model, version, or object
wrapper = StreamWrapper("https://app.speckle.systems/projects/3073b96e86/models/0fe47c9dca@604bea8cc6")
# get an authenticated SpeckleClient if you have a local account for the server
client = wrapper.get_client()
# get an authenticated ServerTransport if you have a local account for the server
transport = wrapper.get_transport()
```
"""
stream_url: str = None
use_ssl: bool = True
host: str = None
stream_id: str = None
commit_id: str = None
object_id: str = None
branch_name: str = None
_client: SpeckleClient = None
_account: Account = None
def __init__(self, url: str) -> None:
super().__init__(url=url)
def get_account(self, token: str = None) -> Account:
"""
Gets an account object for this server from the local accounts db
(added via Speckle Manager or a json file)
"""
metrics.track(metrics.SDK, custom_props={"name": "Stream Wrapper Get Account"})
return super().get_account(token)
def get_client(self, token: str = None) -> SpeckleClient:
"""
Gets an authenticated client for this server.
You may provide a token if there aren't any local accounts on this
machine. If no account is found and no token is provided,
an unauthenticated client is returned.
Arguments:
token {str}
-- optional token if no local account is available (defaults to None)
Returns:
SpeckleClient
-- authenticated with a corresponding local account or the provided token
"""
metrics.track(metrics.SDK, custom_props={"name": "Stream Wrapper Get Client"})
return super().get_client(token)
def get_transport(self, token: str = None) -> ServerTransport:
"""
Gets a server transport for this stream using an authenticated client.
If there is no local account for this
server and the client was not authenticated with a token,
this will throw an exception.
Returns:
ServerTransport -- constructed for this stream
with a pre-authenticated client
"""
metrics.track(
metrics.SDK, custom_props={"name": "Stream Wrapper Get Transport"}
)
return super().get_transport(token)
-6
View File
@@ -1,6 +0,0 @@
"""
This is the Core SDK module of `specklepy`.
This module should be kept in sync with the functionalities of our other SDKs especially
C# Core https://github.com/specklesystems/speckle-sharp/tree/main/Core/Core
"""
-257
View File
@@ -1,257 +0,0 @@
import contextlib
import re
from typing import Dict
from warnings import warn
from gql import Client
from gql.transport.exceptions import TransportServerError
from gql.transport.requests import RequestsHTTPTransport
from gql.transport.websockets import WebsocketsTransport
from specklepy.core.api.credentials import Account
from specklepy.core.api.resources import (
ActiveUserResource,
FileImportResource,
ModelResource,
OtherUserResource,
ProjectInviteResource,
ProjectResource,
ServerResource,
SubscriptionResource,
VersionResource,
WorkspaceResource,
)
from specklepy.logging import metrics
from specklepy.logging.exceptions import SpeckleException, SpeckleWarning
class SpeckleClient:
"""
The `SpeckleClient` is your entry point for interacting with
your Speckle Server's GraphQL API.
You'll need to have access to a server to use it,
or you can use our public server `app.speckle.systems`.
To authenticate the client, you'll need to have downloaded
the [Speckle Manager](https://speckle.guide/#speckle-manager)
and added your account.
```py
from specklepy.api.client import SpeckleClient
from specklepy.core.api.inputs.project_inputs import ProjectCreateInput
from specklepy.api.credentials import get_default_account
# initialise the client
client = SpeckleClient(host="app.speckle.systems") # or whatever your host is
# client = SpeckleClient(host="localhost:3000", use_ssl=False) or use local server
# authenticate the client with an account
# (account has been added in Speckle Manager)
account = get_default_account()
client.authenticate_with_account(account)
# create a new project
input = ProjectCreateInput(name="a shiny new project")
project = self.project.create(input)
# or, use a project id to get an existing project from the server
new_stream = client.project.get("abcdefghij")
```
"""
DEFAULT_HOST = "app.speckle.systems"
USE_SSL = True
def __init__(
self,
host: str = DEFAULT_HOST,
use_ssl: bool = USE_SSL,
verify_certificate: bool = True,
connection_retries: int = 3,
connection_timeout: int = 10,
) -> None:
ws_protocol = "ws"
http_protocol = "http"
if use_ssl:
ws_protocol = "wss"
http_protocol = "https"
# sanitise host input by removing protocol and trailing slash
host = re.sub(r"((^\w+:|^)\/\/)|(\/$)", "", host)
self.url = f"{http_protocol}://{host}"
self.graphql = f"{self.url}/graphql"
self.ws_url = f"{ws_protocol}://{host}/graphql"
self.account = Account()
self.verify_certificate = verify_certificate
self.connection_retries = connection_retries
self.connection_timeout = connection_timeout
self.httpclient = Client(
transport=RequestsHTTPTransport(
url=self.graphql,
verify=self.verify_certificate,
retries=self.connection_retries,
timeout=self.connection_timeout,
)
)
self.wsclient = None
self._init_resources()
# ? Check compatibility with the server
# - i think we can skip this at this point? save a request
# try:
# server_info = self.server.get()
# if isinstance(server_info, Exception):
# raise server_info
# if not isinstance(server_info, ServerInfo):
# raise Exception("Couldn't get ServerInfo")
# except Exception as ex:
# raise SpeckleException(
# f"{self.url} is not a compatible Speckle Server", ex
# ) from ex
def __repr__(self):
return (
f"SpeckleClient( server: {self.url}, authenticated:"
f" {self.account.token is not None} )"
)
def authenticate_with_token(self, token: str) -> None:
"""
Authenticate the client using a personal access token.
The token is saved in the client object and a synchronous GraphQL
entrypoint is created
Arguments:
token {str} -- an api token
"""
self.account = Account.from_token(token, self.url)
self._set_up_client()
userData = self.active_user.get()
# None if the token lacked the profile:read scope or if it was None
if userData:
self.account.userInfo.id = userData.id
self.account.userInfo.email = userData.email
self.account.userInfo.name = userData.name
self.account.userInfo.company = userData.company
self.account.userInfo.avatar = userData.avatar
self.account.serverInfo = self.server.get()
self.account.serverInfo.url = self.url
def authenticate_with_account(self, account: Account) -> None:
"""Authenticate the client using an Account object
The account is saved in the client object and a synchronous GraphQL
entrypoint is created
Arguments:
account {Account} -- the account object which can be found with
`get_default_account` or `get_local_accounts`
"""
self.account = account
self._set_up_client()
try:
_ = self.active_user.get()
except SpeckleException as ex:
if isinstance(ex.exception, TransportServerError):
if ex.exception.code == 403:
warn(
SpeckleWarning(
"Possibly invalid token - could not authenticate "
f"Speckle Client for server {self.url}"
),
stacklevel=2,
)
else:
raise ex
def _set_up_client(self) -> None:
headers = {
"Authorization": f"Bearer {self.account.token}",
"Content-Type": "application/json",
"apollographql-client-name": metrics.HOST_APP,
"apollographql-client-version": metrics.HOST_APP_VERSION,
}
httptransport = RequestsHTTPTransport(
url=self.graphql, headers=headers, verify=self.verify_certificate, retries=3
)
wstransport = WebsocketsTransport(
url=self.ws_url,
init_payload={"Authorization": f"Bearer {self.account.token}"},
)
self.httpclient = Client(transport=httptransport)
self.wsclient = Client(transport=wstransport)
self._init_resources()
def execute_query(self, query: str) -> Dict:
return self.httpclient.execute(query)
def _init_resources(self) -> None:
self.server = ServerResource(
account=self.account, basepath=self.url, client=self.httpclient
)
server_version = None
with contextlib.suppress(Exception):
server_version = self.server.version()
self.other_user = OtherUserResource(
account=self.account,
basepath=self.url,
client=self.httpclient,
server_version=server_version,
)
self.active_user = ActiveUserResource(
account=self.account,
basepath=self.url,
client=self.httpclient,
server_version=server_version,
)
self.project = ProjectResource(
account=self.account,
basepath=self.url,
client=self.httpclient,
server_version=server_version,
)
self.project_invite = ProjectInviteResource(
account=self.account,
basepath=self.url,
client=self.httpclient,
server_version=server_version,
)
self.model = ModelResource(
account=self.account,
basepath=self.url,
client=self.httpclient,
server_version=server_version,
)
self.version = VersionResource(
account=self.account,
basepath=self.url,
client=self.httpclient,
server_version=server_version,
)
self.workspace = WorkspaceResource(
account=self.account,
basepath=self.url,
client=self.httpclient,
server_version=server_version,
)
self.file_import = FileImportResource(
account=self.account,
basepath=self.url,
client=self.httpclient,
server_version=server_version,
)
self.subscription = SubscriptionResource(
account=self.account,
basepath=self.ws_url,
client=self.wsclient,
)
@@ -1,70 +0,0 @@
from datetime import datetime
from typing import List
import httpx
from pydantic import AliasGenerator, BaseModel, ConfigDict, HttpUrl
from pydantic.alias_generators import to_pascal
class ConnectorFeedBaseModel(BaseModel):
"""
Parent class for all Connector Feed Object Model classes
Sets-up a pydantic config to serialize properties using a pascal case alias
"""
model_config = ConfigDict(
alias_generator=AliasGenerator(
validation_alias=to_pascal,
),
populate_by_name=True,
)
class ConnectorVersion(ConnectorFeedBaseModel):
number: str
url: HttpUrl
os: int # this is an enum, it's properly defined in the old v2 SDK (used by Speckle.Manager.Feed) # noqa: E501
architecture: int # These are enums, they are properly defined in the old v2 SDK (used by Speckle.Manager.Feed) # noqa: E501
date: datetime
prerelease: bool
class ConnectorVersions(ConnectorFeedBaseModel):
versions: List[ConnectorVersion]
def get_latest_version(host_app_slug: str, allow_pre_release: bool) -> ConnectorVersion:
"""
Fetches the JSON feed for the given connector slug and
Returns the latest version by date - Note, it does not consider semvers!
Arguments:
host_app_slug {str} -- the host app slug to query for
allow_pre_release {bool} -- if false, only stable releases will be considered
Raises:
HTTPStatusError: if http request failed
ValidationError: response was not valid json
ValueError: The feed contained no connector versions
"""
connector_versions = get_connector_versions(host_app_slug).versions
filtered_versions = [
v for v in connector_versions if allow_pre_release or not v.prerelease
]
return max(filtered_versions, key=lambda x: x.date)
def get_connector_versions(host_app_slug: str) -> ConnectorVersions:
"""
Fetches the JSON feed for the given slug (v3 feeds only)
Raises:
HTTPStatusError: if http request failed
ValidationError: response was not valid json
"""
url = f"https://releases.speckle.dev/manager2/feeds/{host_app_slug.lower()}-v3.json"
res = httpx.get(url).raise_for_status()
feed_data = ConnectorVersions.model_validate_json(res.text)
return feed_data

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