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Alan Rynne 2022-04-28 17:04:39 +02:00
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python/.gitignore поставляемый Normal file
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# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class
# C extensions
*.so
# Distribution / packaging
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
share/python-wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST
# PyInstaller
# Usually these files are written by a python script from a template
# before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
*.spec
# Installer logs
pip-log.txt
pip-delete-this-directory.txt
# Unit test / coverage reports
htmlcov/
.tox/
.nox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
*.py,cover
.hypothesis/
.pytest_cache/
cover/
# Translations
*.mo
*.pot
# Django stuff:
*.log
local_settings.py
db.sqlite3
db.sqlite3-journal
# Flask stuff:
instance/
.webassets-cache
# Scrapy stuff:
.scrapy
# Sphinx documentation
docs/_build/
# PyBuilder
.pybuilder/
target/
# Jupyter Notebook
.ipynb_checkpoints
# IPython
profile_default/
ipython_config.py
# pyenv
# For a library or package, you might want to ignore these files since the code is
# intended to run in multiple environments; otherwise, check them in:
# .python-version
# pipenv
# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
# However, in case of collaboration, if having platform-specific dependencies or dependencies
# having no cross-platform support, pipenv may install dependencies that don't work, or not
# install all needed dependencies.
#Pipfile.lock
# poetry
# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
# This is especially recommended for binary packages to ensure reproducibility, and is more
# commonly ignored for libraries.
# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
#poetry.lock
# pdm
# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
#pdm.lock
# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
# in version control.
# https://pdm.fming.dev/#use-with-ide
.pdm.toml
# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
__pypackages__/
# Celery stuff
celerybeat-schedule
celerybeat.pid
# SageMath parsed files
*.sage.py
# Environments
.env
.venv
env/
venv/
ENV/
env.bak/
venv.bak/
# Spyder project settings
.spyderproject
.spyproject
# Rope project settings
.ropeproject
# mkdocs documentation
/site
# mypy
.mypy_cache/
.dmypy.json
dmypy.json
# Pyre type checker
.pyre/
# pytype static type analyzer
.pytype/
# Cython debug symbols
cython_debug/
# PyCharm
# JetBrains specific template is maintained in a separate JetBrains.gitignore that can
# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
# and can be added to the global gitignore or merged into this file. For a more nuclear
# option (not recommended) you can uncomment the following to ignore the entire idea folder.
#.idea/

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# Running this script will pull the latest commit from the main branch
# of the specified stream and duplicate it inside a different branch.
# (branch should exist already or the script will fail
from specklepy.api.client import SpeckleClient
from specklepy.api.credentials import get_default_account, get_local_accounts
from specklepy.transports.server import ServerTransport
from specklepy.api import operations
# The id of the stream to work with (we're assuming it already exists in your default account's server)
streamId = "YOUR_STREAM_ID_HERE"
branchName = "YOUR_BRANCH_NAME_HERE"
# Initialise the Speckle client pointing to your specific server.
client = SpeckleClient(host="https://speckle.xyz")
# Get the default account
account = get_default_account()
# If you have more than one account, or the account is not the default, use get_local_accounts
# accounts = get_local_accounts()
# account = accounts[0]
# Authenticate using the account token
client.authenticate(token=account.token)
# Get the main branch with it's latest commit reference
branch = client.branch.get(streamId, "main", 1)
# Get the id of the object referenced in the commit
objHash = branch.commits.items[0].referencedObject
# Create the server transport for the specified stream.
transport = ServerTransport(client=client, stream_id=streamId)
# Receive the object
received_base = operations.receive(obj_id=objHash, remote_transport=transport)
# The received object, process it as you wish.
print("Received object:", received_base)
# TODO: Perform some operation on the received data
# Send the points using a specific transport
newHash = operations.send(base=received_base, transports=[transport])
# you can now create a commit on your stream with this object
commit_id = client.commit.create(
stream_id=streamId,
branch_name=branchName,
object_id=hash,
message="Automatic commit created by AEC Tech Demo by AECTechDemo.py script",
source_application="AEC Tech Python Script"
)
print("Successfully created commit with id: ", commit_id)