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Author SHA1 Message Date
Gergő Jedlicska 13e0b65c31 make test fail louder 2023-09-07 14:43:49 +02:00
19 changed files with 335 additions and 1302 deletions
+1 -1
View File
@@ -8,7 +8,7 @@ jobs:
test:
machine:
image: ubuntu-2204:2023.02.1
docker_layer_caching: false
docker_layer_caching: true
resource_class: medium
parameters:
tag:
+5 -5
View File
@@ -53,7 +53,7 @@ services:
# Speckle Server
#######
speckle-frontend:
image: speckle/speckle-frontend:latest
image: speckle/speckle-frontend:2
restart: always
ports:
- "0.0.0.0:8080:8080"
@@ -61,7 +61,7 @@ services:
FILE_SIZE_LIMIT_MB: 100
speckle-server:
image: speckle/speckle-server:latest
image: speckle/speckle-server:2
restart: always
healthcheck:
test:
@@ -112,7 +112,7 @@ services:
ENABLE_MP: "false"
preview-service:
image: speckle/speckle-preview-service:latest
image: speckle/speckle-preview-service:2
restart: always
depends_on:
speckle-server:
@@ -124,7 +124,7 @@ services:
PG_CONNECTION_STRING: "postgres://speckle:speckle@postgres/speckle"
webhook-service:
image: speckle/speckle-webhook-service:latest
image: speckle/speckle-webhook-service:2
restart: always
depends_on:
speckle-server:
@@ -135,7 +135,7 @@ services:
WAIT_HOSTS: postgres:5432
fileimport-service:
image: speckle/speckle-fileimport-service:latest
image: speckle/speckle-fileimport-service:2
restart: always
depends_on:
speckle-server:
Generated
+287 -255
View File
@@ -14,27 +14,6 @@ files = [
[package.dependencies]
typing-extensions = {version = ">=4.0.0", markers = "python_version < \"3.9\""}
[[package]]
name = "anyio"
version = "4.0.0"
description = "High level compatibility layer for multiple asynchronous event loop implementations"
optional = false
python-versions = ">=3.8"
files = [
{file = "anyio-4.0.0-py3-none-any.whl", hash = "sha256:cfdb2b588b9fc25ede96d8db56ed50848b0b649dca3dd1df0b11f683bb9e0b5f"},
{file = "anyio-4.0.0.tar.gz", hash = "sha256:f7ed51751b2c2add651e5747c891b47e26d2a21be5d32d9311dfe9692f3e5d7a"},
]
[package.dependencies]
exceptiongroup = {version = ">=1.0.2", markers = "python_version < \"3.11\""}
idna = ">=2.8"
sniffio = ">=1.1"
[package.extras]
doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)"]
test = ["anyio[trio]", "coverage[toml] (>=7)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"]
trio = ["trio (>=0.22)"]
[[package]]
name = "appdirs"
version = "1.4.4"
@@ -57,6 +36,9 @@ files = [
{file = "argcomplete-2.0.6.tar.gz", hash = "sha256:dc33528d96727882b576b24bc89ed038f3c6abbb6855ff9bb6be23384afff9d6"},
]
[package.dependencies]
importlib-metadata = {version = ">=0.23,<6", markers = "python_version == \"3.7\""}
[package.extras]
lint = ["flake8", "mypy"]
test = ["coverage", "flake8", "mypy", "pexpect", "wheel"]
@@ -74,6 +56,7 @@ files = [
[package.dependencies]
lazy-object-proxy = ">=1.4.0"
typed-ast = {version = ">=1.4.0,<2.0", markers = "implementation_name == \"cpython\" and python_version < \"3.8\""}
typing-extensions = {version = ">=4.0.0", markers = "python_version < \"3.11\""}
wrapt = [
{version = ">=1.11,<2", markers = "python_version < \"3.11\""},
@@ -82,17 +65,17 @@ wrapt = [
[[package]]
name = "asttokens"
version = "2.4.0"
version = "2.2.1"
description = "Annotate AST trees with source code positions"
optional = false
python-versions = "*"
files = [
{file = "asttokens-2.4.0-py2.py3-none-any.whl", hash = "sha256:cf8fc9e61a86461aa9fb161a14a0841a03c405fa829ac6b202670b3495d2ce69"},
{file = "asttokens-2.4.0.tar.gz", hash = "sha256:2e0171b991b2c959acc6c49318049236844a5da1d65ba2672c4880c1c894834e"},
{file = "asttokens-2.2.1-py2.py3-none-any.whl", hash = "sha256:6b0ac9e93fb0335014d382b8fa9b3afa7df546984258005da0b9e7095b3deb1c"},
{file = "asttokens-2.2.1.tar.gz", hash = "sha256:4622110b2a6f30b77e1473affaa97e711bc2f07d3f10848420ff1898edbe94f3"},
]
[package.dependencies]
six = ">=1.12.0"
six = "*"
[package.extras]
test = ["astroid", "pytest"]
@@ -108,6 +91,9 @@ files = [
{file = "attrs-23.1.0.tar.gz", hash = "sha256:6279836d581513a26f1bf235f9acd333bc9115683f14f7e8fae46c98fc50e015"},
]
[package.dependencies]
importlib-metadata = {version = "*", markers = "python_version < \"3.8\""}
[package.extras]
cov = ["attrs[tests]", "coverage[toml] (>=5.3)"]
dev = ["attrs[docs,tests]", "pre-commit"]
@@ -153,6 +139,7 @@ mypy-extensions = ">=0.4.3"
pathspec = ">=0.9.0"
platformdirs = ">=2"
tomli = {version = ">=1.1.0", markers = "python_full_version < \"3.11.0a7\""}
typed-ast = {version = ">=1.4.2", markers = "python_version < \"3.8\" and implementation_name == \"cpython\""}
typing-extensions = {version = ">=3.10.0.0", markers = "python_version < \"3.10\""}
[package.extras]
@@ -174,13 +161,13 @@ files = [
[[package]]
name = "cfgv"
version = "3.4.0"
version = "3.3.1"
description = "Validate configuration and produce human readable error messages."
optional = false
python-versions = ">=3.8"
python-versions = ">=3.6.1"
files = [
{file = "cfgv-3.4.0-py2.py3-none-any.whl", hash = "sha256:b7265b1f29fd3316bfcd2b330d63d024f2bfd8bcb8b0272f8e19a504856c48f9"},
{file = "cfgv-3.4.0.tar.gz", hash = "sha256:e52591d4c5f5dead8e0f673fb16db7949d2cfb3f7da4582893288f0ded8fe560"},
{file = "cfgv-3.3.1-py2.py3-none-any.whl", hash = "sha256:c6a0883f3917a037485059700b9e75da2464e6c27051014ad85ba6aaa5884426"},
{file = "cfgv-3.3.1.tar.gz", hash = "sha256:f5a830efb9ce7a445376bb66ec94c638a9787422f96264c98edc6bdeed8ab736"},
]
[[package]]
@@ -210,6 +197,7 @@ files = [
[package.dependencies]
colorama = {version = "*", markers = "platform_system == \"Windows\""}
importlib-metadata = {version = "*", markers = "python_version < \"3.8\""}
[[package]]
name = "colorama"
@@ -248,63 +236,71 @@ typing-extensions = ">=4.0.1,<5.0.0"
[[package]]
name = "coverage"
version = "7.3.1"
version = "7.2.7"
description = "Code coverage measurement for Python"
optional = false
python-versions = ">=3.8"
python-versions = ">=3.7"
files = [
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{file = "ujson-5.7.0-pp37-pypy37_pp73-win_amd64.whl", hash = "sha256:ed22f9665327a981f288a4f758a432824dc0314e4195a0eaeb0da56a477da94d"},
{file = "ujson-5.7.0-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:adf445a49d9a97a5a4c9bb1d652a1528de09dd1c48b29f79f3d66cea9f826bf6"},
{file = "ujson-5.7.0-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:64772a53f3c4b6122ed930ae145184ebaed38534c60f3d859d8c3f00911eb122"},
{file = "ujson-5.7.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:35209cb2c13fcb9d76d249286105b4897b75a5e7f0efb0c0f4b90f222ce48910"},
{file = "ujson-5.7.0-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:90712dfc775b2c7a07d4d8e059dd58636bd6ff1776d79857776152e693bddea6"},
{file = "ujson-5.7.0-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:0e4e8981c6e7e9e637e637ad8ffe948a09e5434bc5f52ecbb82b4b4cfc092bfb"},
{file = "ujson-5.7.0-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:581c945b811a3d67c27566539bfcb9705ea09cb27c4be0002f7a553c8886b817"},
{file = "ujson-5.7.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d36a807a24c7d44f71686685ae6fbc8793d784bca1adf4c89f5f780b835b6243"},
{file = "ujson-5.7.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8b4257307e3662aa65e2644a277ca68783c5d51190ed9c49efebdd3cbfd5fa44"},
{file = "ujson-5.7.0-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ea7423d8a2f9e160c5e011119741682414c5b8dce4ae56590a966316a07a4618"},
{file = "ujson-5.7.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:4c592eb91a5968058a561d358d0fef59099ed152cfb3e1cd14eee51a7a93879e"},
{file = "ujson-5.7.0.tar.gz", hash = "sha256:e788e5d5dcae8f6118ac9b45d0b891a0d55f7ac480eddcb7f07263f2bcf37b23"},
]
[[package]]
@@ -1518,23 +1533,24 @@ socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"]
[[package]]
name = "virtualenv"
version = "20.24.5"
version = "20.21.1"
description = "Virtual Python Environment builder"
optional = false
python-versions = ">=3.7"
files = [
{file = "virtualenv-20.24.5-py3-none-any.whl", hash = "sha256:b80039f280f4919c77b30f1c23294ae357c4c8701042086e3fc005963e4e537b"},
{file = "virtualenv-20.24.5.tar.gz", hash = "sha256:e8361967f6da6fbdf1426483bfe9fca8287c242ac0bc30429905721cefbff752"},
{file = "virtualenv-20.21.1-py3-none-any.whl", hash = "sha256:09ddbe1af0c8ed2bb4d6ed226b9e6415718ad18aef9fa0ba023d96b7a8356049"},
{file = "virtualenv-20.21.1.tar.gz", hash = "sha256:4c104ccde994f8b108163cf9ba58f3d11511d9403de87fb9b4f52bf33dbc8668"},
]
[package.dependencies]
distlib = ">=0.3.7,<1"
filelock = ">=3.12.2,<4"
platformdirs = ">=3.9.1,<4"
distlib = ">=0.3.6,<1"
filelock = ">=3.4.1,<4"
importlib-metadata = {version = ">=4.8.3", markers = "python_version < \"3.8\""}
platformdirs = ">=2.4,<4"
[package.extras]
docs = ["furo (>=2023.7.26)", "proselint (>=0.13)", "sphinx (>=7.1.2)", "sphinx-argparse (>=0.4)", "sphinxcontrib-towncrier (>=0.2.1a0)", "towncrier (>=23.6)"]
test = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "coverage-enable-subprocess (>=1)", "flaky (>=3.7)", "packaging (>=23.1)", "pytest (>=7.4)", "pytest-env (>=0.8.2)", "pytest-freezer (>=0.4.8)", "pytest-mock (>=3.11.1)", "pytest-randomly (>=3.12)", "pytest-timeout (>=2.1)", "setuptools (>=68)", "time-machine (>=2.10)"]
docs = ["furo (>=2023.3.27)", "proselint (>=0.13)", "sphinx (>=6.1.3)", "sphinx-argparse (>=0.4)", "sphinxcontrib-towncrier (>=0.2.1a0)", "towncrier (>=22.12)"]
test = ["covdefaults (>=2.3)", "coverage (>=7.2.3)", "coverage-enable-subprocess (>=1)", "flaky (>=3.7)", "packaging (>=23.1)", "pytest (>=7.3.1)", "pytest-env (>=0.8.1)", "pytest-freezegun (>=0.4.2)", "pytest-mock (>=3.10)", "pytest-randomly (>=3.12)", "pytest-timeout (>=2.1)"]
[[package]]
name = "wcwidth"
@@ -1795,8 +1811,24 @@ files = [
[package.dependencies]
idna = ">=2.0"
multidict = ">=4.0"
typing-extensions = {version = ">=3.7.4", markers = "python_version < \"3.8\""}
[[package]]
name = "zipp"
version = "3.15.0"
description = "Backport of pathlib-compatible object wrapper for zip files"
optional = false
python-versions = ">=3.7"
files = [
{file = "zipp-3.15.0-py3-none-any.whl", hash = "sha256:48904fc76a60e542af151aded95726c1a5c34ed43ab4134b597665c86d7ad556"},
{file = "zipp-3.15.0.tar.gz", hash = "sha256:112929ad649da941c23de50f356a2b5570c954b65150642bccdd66bf194d224b"},
]
[package.extras]
docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
testing = ["big-O", "flake8 (<5)", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)"]
[metadata]
lock-version = "2.0"
python-versions = ">=3.8.0, <4.0"
content-hash = "f4b42bf68f4d232c8a6e551da3f9f3432627b8b65252e6ee0b04dd803af0179b"
python-versions = ">=3.7.2, <4.0"
content-hash = "68b9e18f308a957906221e252919436a88f414a96bba50969afaa73293caa7ea"
+2 -4
View File
@@ -1,6 +1,6 @@
[tool.poetry]
name = "specklepy"
version = "2.17.5"
version = "2.9.1"
description = "The Python SDK for Speckle 2.0"
readme = "README.md"
authors = ["Speckle Systems <devops@speckle.systems>"]
@@ -10,12 +10,11 @@ documentation = "https://speckle.guide/dev/py-examples.html"
homepage = "https://speckle.systems/"
packages = [
{ include = "specklepy", from = "src" },
{ include = "speckle_automate", from = "src" },
]
[tool.poetry.dependencies]
python = ">=3.8.0, <4.0"
python = ">=3.7.2, <4.0"
pydantic = "^2.0"
appdirs = "^1.4.4"
gql = {extras = ["requests", "websockets"], version = "^3.3.0"}
@@ -23,7 +22,6 @@ ujson = "^5.3.0"
Deprecated = "^1.2.13"
stringcase = "^1.2.0"
attrs = "^23.1.0"
httpx = "^0.25.0"
[tool.poetry.group.dev.dependencies]
black = "^22.8.0"
-23
View File
@@ -1,23 +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",
]
-387
View File
@@ -1,387 +0,0 @@
"""This module provides an abstraction layer above the Speckle Automate runtime."""
from dataclasses import dataclass, field
from pathlib import Path
import time
from typing import Any, Dict, List, Optional, Union
import httpx
from gql import gql
from specklepy.api import operations
from specklepy.api.client import SpeckleClient
from specklepy.core.api.models import Branch
from specklepy.objects import Base
from specklepy.transports.memory import MemoryTransport
from specklepy.transports.server import ServerTransport
from specklepy.logging.exceptions import SpeckleException
from speckle_automate.schema import (
AutomateBase,
AutomationResult,
AutomationRunData,
AutomationStatus,
ObjectResultLevel,
ResultCase,
)
@dataclass
class AutomationContext:
"""A context helper class.
This class exposes methods to work with the Speckle Automate context inside
Speckle Automate functions.
An instance of AutomationContext is injected into every run of a function.
"""
automation_run_data: AutomationRunData
speckle_client: SpeckleClient
_server_transport: ServerTransport
_speckle_token: str
#: keep a memory transponrt at hand, to speed up things if needed
_memory_transport: MemoryTransport = field(default_factory=MemoryTransport)
#: added for performance measuring
_init_time: float = field(default_factory=time.perf_counter)
_automation_result: AutomationResult = field(default_factory=AutomationResult)
@classmethod
def initialize(
cls, automation_run_data: Union[str, AutomationRunData], speckle_token: str
) -> "AutomationContext":
"""Bootstrap the AutomateSDK from raw data.
Todo:
----
* bootstrap a structlog logger instance
* expose a logger, that ppl can use instead of print
"""
# parse the json value if its not an initialized project data instance
automation_run_data = (
automation_run_data
if isinstance(automation_run_data, AutomationRunData)
else AutomationRunData.model_validate_json(automation_run_data)
)
speckle_client = SpeckleClient(
automation_run_data.speckle_server_url,
automation_run_data.speckle_server_url.startswith("https"),
)
speckle_client.authenticate_with_token(speckle_token)
if not speckle_client.account:
msg = (
f"Could not autenticate to {automation_run_data.speckle_server_url}",
"with the provided token",
)
raise ValueError(msg)
server_transport = ServerTransport(
automation_run_data.project_id, speckle_client
)
return cls(automation_run_data, speckle_client, server_transport, speckle_token)
@property
def run_status(self) -> AutomationStatus:
"""Get the status of the automation run."""
return self._automation_result.run_status
@property
def status_message(self) -> Optional[str]:
"""Get the current status message."""
return self._automation_result.status_message
def elapsed(self) -> float:
"""Return the elapsed time in seconds since the initialization time."""
return time.perf_counter() - self._init_time
def receive_version(self) -> Base:
"""Receive the Speckle project version that triggered this automation run."""
commit = self.speckle_client.commit.get(
self.automation_run_data.project_id, self.automation_run_data.version_id
)
if not commit.referencedObject:
raise ValueError("The commit has no referencedObject, cannot receive it.")
base = operations.receive(
commit.referencedObject, self._server_transport, self._memory_transport
)
print(
f"It took {self.elapsed():.2f} seconds to receive",
f" the speckle version {self.automation_run_data.version_id}",
)
return base
def create_new_version_in_project(
self, root_object: Base, model_name: str, version_message: str = ""
) -> str:
"""Save a base model to a new version on the project.
Args:
root_object (Base): The Speckle base object for the new version.
model_id (str): For now please use a `branchName`!
version_message (str): The message for the new version.
"""
if model_name == self.automation_run_data.branch_name:
raise ValueError(
f"The target model: {model_name} cannot match the model"
f" that triggered this automation:"
f" {self.automation_run_data.model_id} /"
f" {self.automation_run_data.branch_name}"
)
branch = self.speckle_client.branch.get(
self.automation_run_data.project_id, model_name, 1
)
# we just check if it exists
if (not branch) or isinstance(branch, SpeckleException):
branch_create = self.speckle_client.branch.create(
self.automation_run_data.project_id,
model_name,
)
print(branch_create)
if isinstance(branch_create, Exception):
raise branch_create
root_object_id = operations.send(
root_object,
[self._server_transport, self._memory_transport],
use_default_cache=False,
)
version_id = self.speckle_client.commit.create(
stream_id=self.automation_run_data.project_id,
object_id=root_object_id,
branch_name=model_name,
message=version_message,
source_application="SpeckleAutomate",
)
if isinstance(version_id, SpeckleException):
raise version_id
self._automation_result.result_versions.append(version_id)
return version_id
def report_run_status(self) -> None:
"""Report the current run status to the project of this automation."""
query = gql(
"""
mutation ReportFunctionRunStatus(
$automationId: String!,
$automationRevisionId: String!,
$automationRunId: String!,
$versionId: String!,
$functionId: String!,
$functionName: String!,
$functionLogo: String,
$runStatus: AutomationRunStatus!
$elapsed: Float!
$resultVersionIds: [String!]!
$statusMessage: String
$objectResults: JSONObject
){
automationMutations {
functionRunStatusReport(input: {
automationId: $automationId
automationRevisionId: $automationRevisionId
automationRunId: $automationRunId
versionId: $versionId
functionRuns: [
{
functionId: $functionId
functionName: $functionName
functionLogo: $functionLogo
status: $runStatus,
elapsed: $elapsed,
resultVersionIds: $resultVersionIds,
statusMessage: $statusMessage
results: $objectResults
}]
})
}
}
"""
)
if self.run_status in [AutomationStatus.SUCCEEDED, AutomationStatus.FAILED]:
object_results = {
"version": "1.0.0",
"values": {
"objectResults": self._automation_result.model_dump(by_alias=True)[
"objectResults"
],
"blobIds": self._automation_result.blobs,
},
}
else:
object_results = None
params = {
"automationId": self.automation_run_data.automation_id,
"automationRevisionId": self.automation_run_data.automation_revision_id,
"automationRunId": self.automation_run_data.automation_run_id,
"versionId": self.automation_run_data.version_id,
"functionId": self.automation_run_data.function_id,
"functionName": self.automation_run_data.function_name,
"functionLogo": self.automation_run_data.function_logo,
"runStatus": self.run_status.value,
"statusMessage": self._automation_result.status_message,
"elapsed": self.elapsed(),
"resultVersionIds": self._automation_result.result_versions,
"objectResults": object_results,
}
self.speckle_client.httpclient.execute(query, params)
def store_file_result(self, file_path: Union[Path, str]) -> None:
"""Save a file attached to the project of this automation."""
path_obj = (
Path(file_path).resolve() if isinstance(file_path, str) else file_path
)
class UploadResult(AutomateBase):
blob_id: str
file_name: str
upload_status: int
class BlobUploadResponse(AutomateBase):
upload_results: list[UploadResult]
if not path_obj.exists():
raise ValueError("The given file path doesn't exist")
files = {path_obj.name: open(str(path_obj), "rb")}
url = (
f"{self.automation_run_data.speckle_server_url}/api/stream/"
f"{self.automation_run_data.project_id}/blob"
)
data = (
httpx.post(
url,
files=files,
headers={"authorization": f"Bearer {self._speckle_token}"},
)
.raise_for_status()
.json()
)
upload_response = BlobUploadResponse.model_validate(data)
if len(upload_response.upload_results) != 1:
raise ValueError("Expecting one upload result.")
self._automation_result.blobs.extend(
[upload_result.blob_id for upload_result in upload_response.upload_results]
)
def mark_run_failed(self, status_message: str) -> None:
"""Mark the current run a failure."""
self._mark_run(AutomationStatus.FAILED, status_message)
def mark_run_success(self, status_message: Optional[str]) -> None:
"""Mark the current run a success with an optional message."""
self._mark_run(AutomationStatus.SUCCEEDED, status_message)
def _mark_run(
self, status: AutomationStatus, status_message: Optional[str]
) -> None:
duration = self.elapsed()
self._automation_result.status_message = status_message
self._automation_result.run_status = status
self._automation_result.elapsed = duration
msg = f"Automation run {status.value} after {duration:.2f} seconds."
print("\n".join([msg, status_message]) if status_message else msg)
def attach_error_to_objects(
self,
category: str,
object_ids: Union[str, List[str]],
message: Optional[str] = None,
metadata: Optional[Dict[str, Any]] = None,
visual_overrides: Optional[Dict[str, Any]] = None,
) -> None:
"""Add a new error case to the run results.
If the error cause has already created an error case,
the error will be extended with a new case refering to the causing objects.
Args:
error_tag (str): A short tag for the error type.
causing_object_ids (str[]): A list of object_id-s that are causing the error
error_messagge (Optional[str]): Optional error message.
metadata: User provided metadata key value pairs
visual_overrides: Case specific 3D visual overrides.
"""
self.attach_result_to_objects(
ObjectResultLevel.ERROR,
category,
object_ids,
message,
metadata,
visual_overrides,
)
def attach_warning_to_objects(
self,
category: str,
object_ids: Union[str, List[str]],
message: Optional[str] = None,
metadata: Optional[Dict[str, Any]] = None,
visual_overrides: Optional[Dict[str, Any]] = None,
) -> None:
"""Add a new warning case to the run results."""
self.attach_result_to_objects(
ObjectResultLevel.WARNING,
category,
object_ids,
message,
metadata,
visual_overrides,
)
def attach_info_to_objects(
self,
category: str,
object_ids: Union[str, List[str]],
message: Optional[str] = None,
metadata: Optional[Dict[str, Any]] = None,
visual_overrides: Optional[Dict[str, Any]] = None,
) -> None:
"""Add a new info case to the run results."""
self.attach_result_to_objects(
ObjectResultLevel.INFO,
category,
object_ids,
message,
metadata,
visual_overrides,
)
def attach_result_to_objects(
self,
level: ObjectResultLevel,
category: str,
object_ids: Union[str, List[str]],
message: Optional[str] = None,
metadata: Optional[Dict[str, Any]] = None,
visual_overrides: Optional[Dict[str, Any]] = None,
) -> None:
if isinstance(object_ids, list):
if len(object_ids) < 1:
raise ValueError(
f"Need atleast one object_id to report a(n) {level.value.upper()}"
)
id_list = object_ids
else:
id_list = [object_ids]
print(
f"Object {', '.join(id_list)} was marked with {level.value.upper()}",
f"/{category} cause: {message}",
)
self._automation_result.object_results.append(
ResultCase(
category=category,
level=level,
object_ids=id_list,
message=message,
metadata=metadata,
visual_overrides=visual_overrides,
)
)
-54
View File
@@ -1,54 +0,0 @@
"""Some useful helpers for working with automation data."""
import secrets
import string
from specklepy.api.client import SpeckleClient
from gql import gql
def register_new_automation(
speckle_client: SpeckleClient,
project_id: str,
model_id: str,
automation_id: str,
automation_name: str,
automation_revision_id: str,
) -> bool:
"""Register a new automation in the speckle server."""
query = gql(
"""
mutation CreateAutomation(
$projectId: String!
$modelId: String!
$automationName: String!
$automationId: String!
$automationRevisionId: String!
) {
automationMutations {
create(
input: {
projectId: $projectId
modelId: $modelId
automationName: $automationName
automationId: $automationId
automationRevisionId: $automationRevisionId
}
)
}
}
"""
)
params = {
"projectId": project_id,
"modelId": model_id,
"automationName": automation_name,
"automationId": automation_id,
"automationRevisionId": automation_revision_id,
}
return speckle_client.httpclient.execute(query, params)
def crypto_random_string(length: int) -> str:
"""Generate a semi crypto random string of a given length."""
alphabet = string.ascii_letters + string.digits
return "".join(secrets.choice(alphabet) for _ in range(length)).lower()
-150
View File
@@ -1,150 +0,0 @@
"""Function execution module.
Provides mechanisms to execute any function,
that conforms to the AutomateFunction "interface"
"""
import json
import os
import sys
import traceback
from pathlib import Path
from typing import Callable, Optional, TypeVar, Union, overload
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]
@overload
def execute_automate_function(
automate_function: AutomateFunction[T],
input_schema: type[T],
) -> None:
...
@overload
def execute_automate_function(automate_function: AutomateFunctionWithoutInputs) -> None:
...
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("too few arguments specified need minimum 2")
if len(args) > 4:
raise ValueError("too many arguments specified, max supported is 4")
# 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 = args[0]
if command == "generate_schema":
path = Path(args[1])
schema = json.dumps(
input_schema.model_json_schema(by_alias=True) if input_schema else {}
)
path.write_text(schema)
elif command == "run":
automation_run_data = args[1]
function_inputs = args[2]
speckle_token = os.environ.get("SPECKLE_TOKEN", None)
if not speckle_token and len(args) != 4:
raise ValueError("Cannot get speckle token from arguments or environment")
speckle_token = speckle_token if speckle_token else args[3]
automation_context = AutomationContext.initialize(
automation_run_data, speckle_token
)
inputs = (
input_schema.model_validate_json(function_inputs)
if input_schema
else input_schema
)
if inputs:
automation_context = run_function(
automation_context,
automate_function, # type: ignore
inputs,
)
else:
automation_context = run_function(
automation_context,
automate_function, # type: ignore
)
exit_code = (
0 if automation_context.run_status == AutomationStatus.SUCCEEDED else 1
)
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,
]:
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_failed(
"Function error. Check the automation run logs for details."
)
finally:
automation_context.report_run_status()
return automation_context
-74
View File
@@ -1,74 +0,0 @@
""""""
from enum import Enum
from typing import Any, Dict, List, Optional
from pydantic import BaseModel, ConfigDict, Field
from stringcase import camelcase
class AutomateBase(BaseModel):
"""Use this class as a base model for automate related DTO."""
model_config = ConfigDict(alias_generator=camelcase, populate_by_name=True)
class AutomationRunData(BaseModel):
"""Values of the project / model that triggered the run of this function."""
project_id: str
model_id: str
branch_name: str
version_id: str
speckle_server_url: str
automation_id: str
automation_revision_id: str
automation_run_id: str
function_id: str
function_name: str
function_logo: Optional[str]
model_config = ConfigDict(
alias_generator=camelcase, populate_by_name=True, protected_namespaces=()
)
class AutomationStatus(str, Enum):
"""Set the status of the automation."""
INITIALIZING = "INITIALIZING"
RUNNING = "RUNNING"
FAILED = "FAILED"
SUCCEEDED = "SUCCEEDED"
class ObjectResultLevel(str, Enum):
"""Possible status message levels for object reports."""
INFO = "INFO"
WARNING = "WARNING"
ERROR = "ERROR"
class ResultCase(AutomateBase):
"""A result case."""
category: str
level: ObjectResultLevel
object_ids: List[str]
message: Optional[str]
metadata: Optional[Dict[str, Any]]
visual_overrides: Optional[Dict[str, Any]]
class AutomationResult(AutomateBase):
"""Schema accepted by the Speckle server as a result for an automation run."""
elapsed: float = 0
result_view: Optional[str] = None
result_versions: List[str] = Field(default_factory=list)
blobs: List[str] = Field(default_factory=list)
run_status: AutomationStatus = AutomationStatus.RUNNING
status_message: Optional[str] = None
object_results: list[ResultCase] = Field(default_factory=list)
+9 -9
View File
@@ -1,8 +1,14 @@
import re
from typing import Dict
from warnings import warn
from deprecated import deprecated
from gql import Client
from gql.transport.exceptions import TransportServerError
from gql.transport.requests import RequestsHTTPTransport
from gql.transport.websockets import WebsocketsTransport
from specklepy.api import resources
from specklepy.api.credentials import Account, get_account_from_token
from specklepy.api.resources import (
user,
@@ -125,9 +131,7 @@ class SpeckleClient(CoreSpeckleClient):
Arguments:
token {str} -- an api token
"""
metrics.track(
metrics.SDK, self.account, {"name": "Client Authenticate_deprecated"}
)
metrics.track(metrics.SDK, self.account, {"name": "Client Authenticate_deprecated"})
return super().authenticate(token)
def authenticate_with_token(self, token: str) -> None:
@@ -139,9 +143,7 @@ class SpeckleClient(CoreSpeckleClient):
Arguments:
token {str} -- an api token
"""
metrics.track(
metrics.SDK, self.account, {"name": "Client Authenticate With 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:
@@ -153,7 +155,5 @@ class SpeckleClient(CoreSpeckleClient):
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"}
)
metrics.track(metrics.SDK, self.account, {"name": "Client Authenticate With Account"})
return super().authenticate_with_account(account)
+8 -13
View File
@@ -9,15 +9,12 @@ from specklepy.logging import metrics
from specklepy.logging.exceptions import SpeckleException
from specklepy.transports.sqlite import SQLiteTransport
# following imports seem to be unnecessary, but they need to stay
# 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 (
Account,
UserInfo,
StreamWrapper, # deprecated
get_local_accounts as core_get_local_accounts,
get_account_from_token as core_get_account_from_token,
)
from specklepy.core.api.credentials import (Account, UserInfo,
StreamWrapper, # deprecated
get_local_accounts as core_get_local_accounts,
get_account_from_token as core_get_account_from_token)
def get_local_accounts(base_path: Optional[str] = None) -> List[Account]:
@@ -38,12 +35,11 @@ def get_local_accounts(base_path: Optional[str] = None) -> List[Account]:
(acc for acc in accounts if acc.isDefault),
accounts[0] if accounts else None,
),
{"name": "Get Local Accounts"},
{"name": "Get Local Accounts"}
)
return accounts
def get_default_account(base_path: Optional[str] = None) -> Optional[Account]:
"""
Gets this environment's default account if any. If there is no default,
@@ -65,8 +61,7 @@ def get_default_account(base_path: Optional[str] = None) -> Optional[Account]:
metrics.initialise_tracker(default)
return default
def get_account_from_token(token: str, server_url: str = None) -> Account:
"""Gets the local account for the token if it exists
Arguments:
@@ -78,5 +73,5 @@ def get_account_from_token(token: str, server_url: str = None) -> Account:
"""
account = core_get_account_from_token(token, server_url)
metrics.track(metrics.SDK, account, {"name": "Get Account From Token"})
metrics.track( metrics.SDK, account, {"name": "Get Account From Token"} )
return account
+4 -7
View File
@@ -1,4 +1,4 @@
from typing import List, Optional, Union
from typing import List, Optional
from gql import gql
@@ -7,7 +7,6 @@ from specklepy.api.resource import ResourceBase
from specklepy.logging import metrics
from specklepy.core.api.resources.commit import Resource as CoreResource
from specklepy.logging.exceptions import SpeckleException
class Resource(CoreResource):
@@ -56,8 +55,8 @@ class Resource(CoreResource):
branch_name: str = "main",
message: str = "",
source_application: str = "python",
parents: Optional[List[str]] = None,
) -> Union[str, SpeckleException]:
parents: List[str] = None,
) -> str:
"""
Creates a commit on a branch
@@ -77,9 +76,7 @@ class Resource(CoreResource):
str -- the id of the created commit
"""
metrics.track(metrics.SDK, self.account, {"name": "Commit Create"})
return super().create(
stream_id, object_id, branch_name, message, source_application, parents
)
return super().create(stream_id, object_id, branch_name, message, source_application, parents)
def update(self, stream_id: str, commit_id: str, message: str) -> bool:
"""
+3 -4
View File
@@ -1,10 +1,9 @@
from typing import List, Optional, Union
from typing import List, Optional
from gql import gql
from specklepy.core.api.models import Commit
from specklepy.core.api.resource import ResourceBase
from specklepy.logging.exceptions import SpeckleException
NAME = "commit"
@@ -107,8 +106,8 @@ class Resource(ResourceBase):
branch_name: str = "main",
message: str = "",
source_application: str = "python",
parents: Optional[List[str]] = None,
) -> Union[str, SpeckleException]:
parents: List[str] = None,
) -> str:
"""
Creates a commit on a branch
+4 -59
View File
@@ -1,4 +1,4 @@
from typing import Any, Dict, List, Union, Optional
from typing import Any, Dict, List, Optional
from specklepy.objects.base import Base
from specklepy.objects.other import Collection
@@ -28,61 +28,6 @@ class Layer(Base, detachable={"features"}):
self.geomType = geomType
self.renderer = renderer or {}
@deprecated(version="2.16", reason="Use VectorLayer or RasterLayer instead")
class VectorLayer(
Collection,
detachable={"elements"},
speckle_type="VectorLayer",
serialize_ignore={"features"}):
"""GIS Vector Layer"""
name: Optional[str]=None
crs: Optional[Union[CRS, Base]]=None
units: Optional[str] = None
elements: Optional[List[Base]] = None
attributes: Optional[Base] = None
geomType: Optional[str] = "None"
renderer: Optional[Dict[str, Any]] = None
collectionType = "VectorLayer"
@property
@deprecated(version="2.14", reason="Use elements")
def features(self) -> Optional[List[Base]]:
return self.elements
@features.setter
def features(self, value: Optional[List[Base]]) -> None:
self.elements = value
@deprecated(version="2.16", reason="Use VectorLayer or RasterLayer instead")
class RasterLayer(
Collection,
detachable={"elements"},
speckle_type="RasterLayer",
serialize_ignore={"features"}):
"""GIS Raster Layer"""
name: Optional[str] = None
crs: Optional[Union[CRS, Base]]=None
units: Optional[str] = None
rasterCrs: Optional[Union[CRS, Base]]=None
elements: Optional[List[Base]] = None
geomType: Optional[str] = "None"
renderer: Optional[Dict[str, Any]] = None
collectionType = "RasterLayer"
@property
@deprecated(version="2.14", reason="Use elements")
def features(self) -> Optional[List[Base]]:
return self.elements
@features.setter
def features(self, value: Optional[List[Base]]) -> None:
self.elements = value
class VectorLayer(
Collection,
detachable={"elements"},
@@ -92,7 +37,7 @@ class VectorLayer(
"""GIS Vector Layer"""
name: Optional[str]=None
crs: Optional[Union[CRS, Base]]=None
crs: Optional[CRS]=None
units: Optional[str] = None
elements: Optional[List[Base]] = None
attributes: Optional[Base] = None
@@ -118,9 +63,9 @@ class RasterLayer(
"""GIS Raster Layer"""
name: Optional[str] = None
crs: Optional[Union[CRS, Base]]=None
crs: Optional[CRS]=None
units: Optional[str] = None
rasterCrs: Optional[Union[CRS, Base]]=None
rasterCrs: Optional[CRS]=None
elements: Optional[List[Base]] = None
geomType: Optional[str] = "None"
renderer: Optional[Dict[str, Any]] = None
+5 -5
View File
@@ -40,9 +40,9 @@ class Point(Base, speckle_type=GEOMETRY + "Point"):
class Pointcloud(
Base,
Base,
speckle_type=GEOMETRY + "Pointcloud",
chunkable={"points": 31250, "colors": 62500, "sizes": 62500},
chunkable={"points": 31250, "colors": 62500, "sizes": 62500},
):
points: Optional[List[float]] = None
colors: Optional[List[int]] = None
@@ -319,7 +319,7 @@ class Spiral(Base, speckle_type=GEOMETRY + "Spiral", detachable={"displayValue"}
startPoint: Optional[Point] = None
endPoint: Optional[Point]
plane: Optional[Plane]
turns: Optional[float]
turns: Optional[int]
pitchAxis: Optional[Vector] = Vector()
pitch: float = 0
spiralType: Optional[SpiralType] = None
@@ -898,7 +898,7 @@ class Brep(
def VerticesValue(self) -> List[Point]:
if self.Vertices is None:
return None
encoded_unit = get_encoding_from_units(self.Vertices[0].units)
encoded_unit = get_encoding_from_units(self.Vertices[0]._units)
values = [encoded_unit]
for vertex in self.Vertices:
values.extend(vertex.to_list())
@@ -913,7 +913,7 @@ class Brep(
for i in range(0, len(value), 3):
vertex = Point.from_list(value[i : i + 3])
vertex.units = units
vertex._units = units
vertices.append(vertex)
self.Vertices = vertices
@@ -1,248 +0,0 @@
"""Run integration tests with a speckle server."""
import os
from pathlib import Path
from typing import Dict
import pytest
from gql import gql
from speckle_automate.schema import AutomateBase
from speckle_automate.helpers import register_new_automation, crypto_random_string
from specklepy.api import operations
from specklepy.api.client import SpeckleClient
from specklepy.objects.base import Base
from specklepy.transports.server import ServerTransport
from speckle_automate import (
AutomationContext,
AutomationRunData,
AutomationStatus,
run_function,
)
@pytest.fixture
def speckle_token(user_dict: Dict[str, str]) -> str:
"""Provide a speckle token for the test suite."""
return user_dict["token"]
@pytest.fixture
def speckle_server_url(host: str) -> str:
"""Provide a speckle server url for the test suite, default to localhost."""
return f"http://{host}"
@pytest.fixture
def test_client(speckle_server_url: str, speckle_token: str) -> SpeckleClient:
"""Initialize a SpeckleClient for testing."""
test_client = SpeckleClient(speckle_server_url, use_ssl=False)
test_client.authenticate_with_token(speckle_token)
return test_client
@pytest.fixture
def test_object() -> Base:
"""Create a Base model for testing."""
root_object = Base()
root_object.foo = "bar"
return root_object
@pytest.fixture
def automation_run_data(
test_object: Base, test_client: SpeckleClient, speckle_server_url: str
) -> AutomationRunData:
"""Set up an automation context for testing."""
project_id = test_client.stream.create("Automate function e2e test")
branch_name = "main"
model = test_client.branch.get(project_id, branch_name, commits_limit=1)
model_id: str = model.id
root_obj_id = operations.send(
test_object, [ServerTransport(project_id, test_client)]
)
version_id = test_client.commit.create(project_id, root_obj_id)
automation_name = crypto_random_string(10)
automation_id = crypto_random_string(10)
automation_revision_id = crypto_random_string(10)
register_new_automation(
test_client,
project_id,
model_id,
automation_id,
automation_name,
automation_revision_id,
)
automation_run_id = crypto_random_string(10)
function_id = crypto_random_string(10)
function_name = f"automate test {crypto_random_string(3)}"
return AutomationRunData(
project_id=project_id,
model_id=model_id,
branch_name=branch_name,
version_id=version_id,
speckle_server_url=speckle_server_url,
automation_id=automation_id,
automation_revision_id=automation_revision_id,
automation_run_id=automation_run_id,
function_id=function_id,
function_name=function_name,
function_logo=None,
)
@pytest.fixture
def automation_context(
automation_run_data: AutomationRunData, speckle_token: str
) -> AutomationContext:
"""Set up the run context."""
return AutomationContext.initialize(automation_run_data, speckle_token)
def get_automation_status(
project_id: str,
model_id: str,
speckle_client: SpeckleClient,
):
query = gql(
"""
query AutomationRuns(
$projectId: String!
$modelId: String!
)
{
project(id: $projectId) {
model(id: $modelId) {
automationStatus {
id
status
statusMessage
automationRuns {
id
automationId
versionId
createdAt
updatedAt
status
functionRuns {
id
functionId
elapsed
status
contextView
statusMessage
results
resultVersions {
id
}
}
}
}
}
}
}
"""
)
params = {
"projectId": project_id,
"modelId": model_id,
}
response = speckle_client.httpclient.execute(query, params)
return response["project"]["model"]["automationStatus"]
class FunctionInputs(AutomateBase):
forbidden_speckle_type: str
def automate_function(
automation_context: AutomationContext,
function_inputs: FunctionInputs,
) -> None:
"""Hey, trying the automate sdk experience here."""
version_root_object = automation_context.receive_version()
count = 0
if version_root_object.speckle_type == function_inputs.forbidden_speckle_type:
if not version_root_object.id:
raise ValueError("Cannot operate on objects without their id's.")
automation_context.attach_error_to_objects(
"Forbidden speckle_type",
version_root_object.id,
"This project should not contain the type: "
f"{function_inputs.forbidden_speckle_type}",
)
count += 1
if count > 0:
automation_context.mark_run_failed(
"Automation failed: "
f"Found {count} object that have a forbidden speckle type: "
f"{function_inputs.forbidden_speckle_type}"
)
else:
automation_context.mark_run_success("No forbidden types found.")
def test_function_run(automation_context: AutomationContext) -> None:
"""Run an integration test for the automate function."""
automation_context = run_function(
automation_context,
automate_function,
FunctionInputs(forbidden_speckle_type="Base"),
)
assert automation_context.run_status == AutomationStatus.FAILED
status = get_automation_status(
automation_context.automation_run_data.project_id,
automation_context.automation_run_data.model_id,
automation_context.speckle_client,
)
assert status["status"] == automation_context.run_status
status_message = status["automationRuns"][0]["functionRuns"][0]["statusMessage"]
assert status_message == automation_context.status_message
@pytest.fixture
def test_file_path():
path = Path(f"./{crypto_random_string(10)}").resolve()
yield path
os.remove(path)
def test_file_uploads(
automation_run_data: AutomationRunData, speckle_token: str, test_file_path: Path
):
"""Test file store capabilities of the automate sdk."""
automation_context = AutomationContext.initialize(
automation_run_data, speckle_token
)
test_file_path.write_text("foobar")
automation_context.store_file_result(test_file_path)
assert len(automation_context._automation_result.blobs) == 1
def test_create_version_in_project_raises_error_for_same_model(
automation_context: AutomationContext,
) -> None:
with pytest.raises(ValueError):
automation_context.create_new_version_in_project(
Base(), automation_context.automation_run_data.branch_name
)
def test_create_version_in_project(
automation_context: AutomationContext,
) -> None:
root_object = Base()
root_object.foo = "bar"
version_id = automation_context.create_new_version_in_project(root_object, "foobar")
assert version_id is not None
+4 -1
View File
@@ -11,8 +11,8 @@ from specklepy.api.models import (
from specklepy.logging.exceptions import (
GraphQLException,
SpeckleException,
UnsupportedException,
)
from devtools import debug
@pytest.mark.run(order=3)
@@ -201,6 +201,9 @@ class TestStream:
def test_stream_activity(self, client: SpeckleClient, stream: Stream):
activity = client.stream.activity(stream.id)
if isinstance(activity, SpeckleException):
debug(activity.with_traceback())
older_activity = client.stream.activity(
stream.id, before=activity.items[0].time
)
+3 -3
View File
@@ -388,9 +388,9 @@ def test_brep_curve3d_values_serialization(curve, polyline, circle):
def test_brep_vertices_values_serialization():
brep = Brep()
brep.VerticesValue = [1, 1, 1, 1, 2, 2, 2, 3, 3, 3]
assert brep.Vertices[0].get_id() == Point(x=1, y=1, z=1, units=Units.mm).get_id()
assert brep.Vertices[1].get_id() == Point(x=2, y=2, z=2, units=Units.mm).get_id()
assert brep.Vertices[2].get_id() == Point(x=3, y=3, z=3, units=Units.mm).get_id()
assert brep.Vertices[0].get_id() == Point(x=1, y=1, z=1, _units=Units.mm).get_id()
assert brep.Vertices[1].get_id() == Point(x=2, y=2, z=2, _units=Units.mm).get_id()
assert brep.Vertices[2].get_id() == Point(x=3, y=3, z=3, _units=Units.mm).get_id()
def test_trims_value_serialization():