make test fail louder

2023-09-07 14:43:49 +02:00
15 changed files with 313 additions and 1159 deletions
@@ -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:
@@ -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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-socks = ["socksio (==1.*)"]
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 [[package]]
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 version = "2.0.0"
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 ]

+[package.dependencies]
+importlib-metadata = {version = ">=0.12", markers = "python_version < \"3.8\""}
+
 [package.extras]
 dev = ["pre-commit", "tox"]
 testing = ["pytest", "pytest-benchmark"]
@@ -923,6 +893,7 @@ files = [
 [package.dependencies]
 cfgv = ">=2.0.0"
 identify = ">=1.0.0"
+importlib-metadata = {version = "*", markers = "python_version < \"3.8\""}
 nodeenv = ">=0.11.1"
 pyyaml = ">=5.1"
 virtualenv = ">=20.10.0"
@@ -1109,18 +1080,19 @@ testutils = ["gitpython (>3)"]

 [[package]]
 name = "pytest"
-version = "7.4.2"
+version = "7.4.0"
 description = "pytest: simple powerful testing with Python"
 optional = false
 python-versions = ">=3.7"
 files = [
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 [package.dependencies]
 colorama = {version = "*", markers = "sys_platform == \"win32\""}
 exceptiongroup = {version = ">=1.0.0rc8", markers = "python_version < \"3.11\""}
+importlib-metadata = {version = ">=0.12", markers = "python_version < \"3.8\""}
 iniconfig = "*"
 packaging = "*"
 pluggy = ">=0.12,<2.0"
@@ -1290,19 +1262,19 @@ files = [

 [[package]]
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-version = "68.2.2"
+version = "68.0.0"
 description = "Easily download, build, install, upgrade, and uninstall Python packages"
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-python-versions = ">=3.8"
+python-versions = ">=3.7"
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+    {file = "setuptools-68.0.0.tar.gz", hash = "sha256:baf1fdb41c6da4cd2eae722e135500da913332ab3f2f5c7d33af9b492acb5235"},
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+docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-hoverxref (<2)", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (==0.8.3)", "sphinx-reredirects", "sphinxcontrib-towncrier"]
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+testing-integration = ["build[virtualenv]", "filelock (>=3.4.0)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "pytest", "pytest-enabler", "pytest-xdist", "tomli", "virtualenv (>=13.0.0)", "wheel"]

 [[package]]
 name = "six"
@@ -1315,17 +1287,6 @@ files = [
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-version = "1.3.0"
-description = "Sniff out which async library your code is running under"
-optional = false
-python-versions = ">=3.7"
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 [[package]]
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 version = "1.2.0"
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 ]

+[[package]]
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+description = "a fork of Python 2 and 3 ast modules with type comment support"
+optional = false
+python-versions = ">=3.6"
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 [[package]]
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 version = "1.2.9.3"
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 [[package]]
 name = "typing-extensions"
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+    {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"
@@ -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"
@@ -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,
-    ObjectResult,
-    ObjectResultLevel,
-)
-
-__all__ = [
-    "AutomationContext",
-    "AutomateBase",
-    "AutomationStatus",
-    "AutomationResult",
-    "AutomationRunData",
-    "ObjectResult",
-    "ObjectResultLevel",
-    "run_function",
-    "execute_automate_function",
-]
@@ -1,306 +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 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,
-    ObjectResult,
-    ObjectResultLevel,
-)
-
-
-@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
-
-    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_id: str, version_message: str = ""
-    ) -> None:
-        """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_id == self.automation_run_data.model_id:
-            raise ValueError(
-                f"The target model id: {model_id} cannot match the model id"
-                f" that triggered this automation: {self.automation_run_data.model_id}"
-            )
-
-        branch = self._get_model(model_id)
-        if not branch.name:
-            raise ValueError(f"The model {model_id} has no name.")
-
-        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_id,
-            message=version_message,
-            source_application="SpeckleAutomate",
-        )
-
-        if isinstance(version_id, SpeckleException):
-            raise version_id
-
-        self._automation_result.result_versions.append(version_id)
-
-    def _get_model(self, model_id: str) -> Branch:
-        query = gql(
-            """
-            query ProjectModel($projectId: String!, $modelId: String!){
-                project(id: $projectId) {
-                    model(id: $modelId) {
-                        name
-                        id
-                        description
-                    }
-                }
-            }
-        """
-        )
-        params = {"projectId": self.automation_run_data.project_id, "modelId": model_id}
-        response = self.speckle_client.httpclient.execute(query, params)
-        return Branch.model_validate(response["project"]["model"])
-
-    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!,
-                $runStatus: AutomationRunStatus!
-                $elapsed: Float!
-                $resultVersionIds: [String!]!
-                $statusMessage: String
-                $objectResults: JSONObject
-            ){
-                automationMutations {
-                    functionRunStatusReport(input: {
-                        automationId: $automationId
-                        automationRevisionId: $automationRevisionId
-                        automationRunId: $automationRunId
-                        versionId: $versionId
-                        functionRuns: [
-                        {
-                            functionId: $functionId
-                            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": {
-                    "speckleObjects": self._automation_result.model_dump(by_alias=True)[
-                        "objectResults"
-                    ],
-                    "blobs": 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,
-            "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.")
-
-        for upload_result in upload_response.upload_results:
-            self._automation_result.blobs.append(upload_result.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_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 add_object_error(self, object_id: str, error_cause: str) -> None:
-        """Add an error to a given Speckle object."""
-        self._add_object_result(object_id, ObjectResultLevel.ERROR, error_cause)
-
-    def add_object_warning(self, object_id: str, warning: str) -> None:
-        """Add a warning to a given Speckle object."""
-        self._add_object_result(object_id, ObjectResultLevel.WARNING, warning)
-
-    def add_object_info(self, object_id: str, info: str) -> None:
-        """Add an info message to a given Speckle object."""
-        self._add_object_result(object_id, ObjectResultLevel.INFO, info)
-
-    def _add_object_result(
-        self, object_id: str, level: ObjectResultLevel, status_message: str
-    ) -> None:
-        print(
-            f"Object {object_id} was marked with {level.value.upper()}",
-            f" cause: {status_message}",
-        )
-        self._automation_result.object_results[object_id].append(
-            ObjectResult(level=level, status_message=status_message)
-        )
@@ -1,155 +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]
-
-        inputs = (
-            input_schema.model_validate_json(function_inputs)
-            if input_schema
-            else input_schema
-        )
-
-        if inputs:
-            automation_context = run_function(
-                automate_function,  # type: ignore
-                automation_run_data,
-                speckle_token,
-                inputs,
-            )
-        else:
-            automation_context = run_function(
-                automate_function,  # type: ignore
-                automation_run_data,
-                speckle_token,
-            )
-
-        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(
-    automate_function: AutomateFunction[T],
-    automation_run_data: Union[AutomationRunData, str],
-    speckle_token: str,
-    inputs: T,
-) -> AutomationContext:
-    ...
-
-
-@overload
-def run_function(
-    automate_function: AutomateFunctionWithoutInputs,
-    automation_run_data: Union[AutomationRunData, str],
-    speckle_token: str,
-) -> AutomationContext:
-    ...
-
-
-def run_function(
-    automate_function: Union[AutomateFunction[T], AutomateFunctionWithoutInputs],
-    automation_run_data: Union[AutomationRunData, str],
-    speckle_token: str,
-    inputs: Optional[T] = None,
-) -> AutomationContext:
-    """Run the provided function with the automate sdk context."""
-    automation_context = AutomationContext.initialize(
-        automation_run_data, speckle_token
-    )
-    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
@@ -1,73 +0,0 @@
-""""""
-from collections import defaultdict
-from enum import Enum
-from typing import Optional, List, Dict
-
-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_release: 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 ObjectResult(AutomateBase):
-    """An object level result."""
-
-    level: ObjectResultLevel
-    status_message: str
-
-
-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: Dict[str, List[ObjectResult]] = Field(
-        default_factory=lambda: defaultdict(list)  # typing: ignore
-    )
@@ -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:
        """
@@ -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

@@ -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
@@ -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
@@ -1,263 +0,0 @@
-"""Run integration tests with a speckle server."""
-import os
-import secrets
-import string
-from pathlib import Path
-from typing import Dict
-
-import pytest
-from gql import gql
-from speckle_automate.schema import AutomateBase
-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,
-)
-
-
-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))
-
-
-def register_new_automation(
-    project_id: str,
-    model_id: str,
-    speckle_client: SpeckleClient,
-    automation_id: str,
-    automation_name: str,
-    automation_revision_id: str,
-):
-    """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,
-    }
-    speckle_client.httpclient.execute(query, params)
-
-
-@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(
-        project_id,
-        model_id,
-        test_client,
-        automation_id,
-        automation_name,
-        automation_revision_id,
-    )
-
-    automation_run_id = crypto_random_string(10)
-    function_id = crypto_random_string(10)
-    function_release = crypto_random_string(10)
-    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_release=function_release,
-    )
-
-
-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(
-    automate_context: AutomationContext,
-    function_inputs: FunctionInputs,
-) -> None:
-    """Hey, trying the automate sdk experience here."""
-    version_root_object = automate_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.")
-        automate_context.add_object_error(
-            version_root_object.id,
-            "This project should not contain the type: "
-            f"{function_inputs.forbidden_speckle_type}",
-        )
-        count += 1
-
-    if count > 0:
-        automate_context.mark_run_failed(
-            "Automation failed: "
-            f"Found {count} object that have a forbidden speckle type: "
-            f"{function_inputs.forbidden_speckle_type}"
-        )
-
-    else:
-        automate_context.mark_run_success("No forbidden types found.")
-
-
-def test_function_run(automation_run_data: AutomationRunData, speckle_token: str):
-    """Run an integration test for the automate function."""
-    automation_context = run_function(
-        automate_function,
-        automation_run_data,
-        speckle_token,
-        FunctionInputs(forbidden_speckle_type="Base"),
-    )
-
-    assert automation_context.run_status == AutomationStatus.FAILED
-    status = get_automation_status(
-        automation_run_data.project_id,
-        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._automation_result.status_message
-
-
-def test_file_uploads(automation_run_data: AutomationRunData, speckle_token: str):
-    """Test file store capabilities of the automate sdk."""
-    automation_context = AutomationContext.initialize(
-        automation_run_data, speckle_token
-    )
-
-    path = Path(f"./{crypto_random_string(10)}").resolve()
-    path.write_text("foobar")
-
-    automation_context.store_file_result(path)
-
-    os.remove(path)
-    assert len(automation_context._automation_result.blobs) == 1
@@ -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
        )
@@ -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():