Merge pull request #318 from specklesystems/gergo/markLogs

feat: reduce log message context for object results
2023-11-13 11:39:49 +01:00 · 2023-11-13 09:14:06 +01:00 · 2023-11-13 09:09:23 +01:00 · 2023-11-13 04:53:03 +08:00 · 2023-11-11 08:32:40 +01:00 · 2023-11-11 08:29:16 +01:00
20 changed files with 1453 additions and 333 deletions
@@ -8,7 +8,7 @@ jobs:
  test:
    machine:
      image: ubuntu-2204:2023.02.1
-      docker_layer_caching: true
+      docker_layer_caching: false
    resource_class: medium
    parameters:
      tag:
@@ -33,7 +33,7 @@ services:
      retries: 30

  minio:
-    image: "minio/minio"
+    image: "minio/minio:RELEASE.2023-10-25T06-33-25Z"
    command: server /data --console-address ":9001"
    restart: always
    volumes:
@@ -53,7 +53,7 @@ services:
  # Speckle Server
  #######
  speckle-frontend:
-    image: speckle/speckle-frontend:2
+    image: speckle/speckle-frontend:latest
    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:2
+    image: speckle/speckle-server:latest
    restart: always
    healthcheck:
      test:
@@ -112,7 +112,7 @@ services:
      ENABLE_MP: "false"

  preview-service:
-    image: speckle/speckle-preview-service:2
+    image: speckle/speckle-preview-service:latest
    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:2
+    image: speckle/speckle-webhook-service:latest
    restart: always
    depends_on:
      speckle-server:
@@ -135,7 +135,7 @@ services:
      WAIT_HOSTS: postgres:5432

  fileimport-service:
-    image: speckle/speckle-fileimport-service:2
+    image: speckle/speckle-fileimport-service:latest
    restart: always
    depends_on:
      speckle-server:
@@ -14,6 +14,27 @@ 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"
@@ -36,9 +57,6 @@ 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"]
@@ -56,7 +74,6 @@ 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\""},
@@ -65,17 +82,17 @@ wrapt = [

 [[package]]
 name = "asttokens"
-version = "2.2.1"
+version = "2.4.0"
 description = "Annotate AST trees with source code positions"
 optional = false
 python-versions = "*"
 files = [
-    {file = "asttokens-2.2.1-py2.py3-none-any.whl", hash = "sha256:6b0ac9e93fb0335014d382b8fa9b3afa7df546984258005da0b9e7095b3deb1c"},
-    {file = "asttokens-2.2.1.tar.gz", hash = "sha256:4622110b2a6f30b77e1473affaa97e711bc2f07d3f10848420ff1898edbe94f3"},
+    {file = "asttokens-2.4.0-py2.py3-none-any.whl", hash = "sha256:cf8fc9e61a86461aa9fb161a14a0841a03c405fa829ac6b202670b3495d2ce69"},
+    {file = "asttokens-2.4.0.tar.gz", hash = "sha256:2e0171b991b2c959acc6c49318049236844a5da1d65ba2672c4880c1c894834e"},
 ]

 [package.dependencies]
-six = "*"
+six = ">=1.12.0"

 [package.extras]
 test = ["astroid", "pytest"]
@@ -91,9 +108,6 @@ 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"]
@@ -139,7 +153,6 @@ 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]
@@ -161,13 +174,13 @@ files = [

 [[package]]
 name = "cfgv"
-version = "3.3.1"
+version = "3.4.0"
 description = "Validate configuration and produce human readable error messages."
 optional = false
-python-versions = ">=3.6.1"
+python-versions = ">=3.8"
 files = [
-    {file = "cfgv-3.3.1-py2.py3-none-any.whl", hash = "sha256:c6a0883f3917a037485059700b9e75da2464e6c27051014ad85ba6aaa5884426"},
-    {file = "cfgv-3.3.1.tar.gz", hash = "sha256:f5a830efb9ce7a445376bb66ec94c638a9787422f96264c98edc6bdeed8ab736"},
+    {file = "cfgv-3.4.0-py2.py3-none-any.whl", hash = "sha256:b7265b1f29fd3316bfcd2b330d63d024f2bfd8bcb8b0272f8e19a504856c48f9"},
+    {file = "cfgv-3.4.0.tar.gz", hash = "sha256:e52591d4c5f5dead8e0f673fb16db7949d2cfb3f7da4582893288f0ded8fe560"},
 ]

 [[package]]
@@ -197,7 +210,6 @@ files = [

 [package.dependencies]
 colorama = {version = "*", markers = "platform_system == \"Windows\""}
-importlib-metadata = {version = "*", markers = "python_version < \"3.8\""}

 [[package]]
 name = "colorama"
@@ -236,71 +248,63 @@ typing-extensions = ">=4.0.1,<5.0.0"

 [[package]]
 name = "coverage"
-version = "7.2.7"
+version = "7.3.1"
 description = "Code coverage measurement for Python"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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-    {file = "coverage-7.2.7-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ba90a9563ba44a72fda2e85302c3abc71c5589cea608ca16c22b9804262aaeb6"},
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-[package.dependencies]
-typing-extensions = {version = ">=4.7.1", markers = "python_version < \"3.8\""}
-
 [package.extras]
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 test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=7.4)", "pytest-cov (>=4.1)", "pytest-mock (>=3.11.1)"]

 [[package]]
 name = "pluggy"
-version = "1.2.0"
+version = "1.3.0"
 description = "plugin and hook calling mechanisms for python"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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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"]
@@ -893,7 +923,6 @@ files = [
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 identify = ">=1.0.0"
-importlib-metadata = {version = "*", markers = "python_version < \"3.8\""}
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 pyyaml = ">=5.1"
 virtualenv = ">=20.10.0"
@@ -1080,19 +1109,18 @@ testutils = ["gitpython (>3)"]

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

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+version = "68.2.2"
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-python-versions = ">=3.7"
+python-versions = ">=3.8"
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+[[package]]
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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"
+files = [
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+
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 version = "1.2.0"
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 [[package]]
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 [[package]]
 name = "typing-extensions"
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+    {file = "ujson-5.8.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:a8c91b6f4bf23f274af9002b128d133b735141e867109487d17e344d38b87d94"},
+    {file = "ujson-5.8.0.tar.gz", hash = "sha256:78e318def4ade898a461b3d92a79f9441e7e0e4d2ad5419abed4336d702c7425"},
 ]

 [[package]]
@@ -1533,24 +1518,23 @@ socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"]

 [[package]]
 name = "virtualenv"
-version = "20.21.1"
+version = "20.24.5"
 description = "Virtual Python Environment builder"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "virtualenv-20.21.1-py3-none-any.whl", hash = "sha256:09ddbe1af0c8ed2bb4d6ed226b9e6415718ad18aef9fa0ba023d96b7a8356049"},
-    {file = "virtualenv-20.21.1.tar.gz", hash = "sha256:4c104ccde994f8b108163cf9ba58f3d11511d9403de87fb9b4f52bf33dbc8668"},
+    {file = "virtualenv-20.24.5-py3-none-any.whl", hash = "sha256:b80039f280f4919c77b30f1c23294ae357c4c8701042086e3fc005963e4e537b"},
+    {file = "virtualenv-20.24.5.tar.gz", hash = "sha256:e8361967f6da6fbdf1426483bfe9fca8287c242ac0bc30429905721cefbff752"},
 ]

 [package.dependencies]
-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"
+distlib = ">=0.3.7,<1"
+filelock = ">=3.12.2,<4"
+platformdirs = ">=3.9.1,<4"

 [package.extras]
-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)"]
+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)"]

 [[package]]
 name = "wcwidth"
@@ -1811,24 +1795,8 @@ 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 = ">=3.7.2, <4.0"
-content-hash = "68b9e18f308a957906221e252919436a88f414a96bba50969afaa73293caa7ea"
+python-versions = ">=3.8.0, <4.0"
+content-hash = "f4b42bf68f4d232c8a6e551da3f9f3432627b8b65252e6ee0b04dd803af0179b"
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "specklepy"
-version = "2.9.1"
+version = "2.17.8"
 description = "The Python SDK for Speckle 2.0"
 readme = "README.md"
 authors = ["Speckle Systems <devops@speckle.systems>"]
@@ -10,11 +10,12 @@ 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 = ">=3.7.2, <4.0"
+python = ">=3.8.0, <4.0"
 pydantic = "^2.0"
 appdirs = "^1.4.4"
 gql = {extras = ["requests", "websockets"], version = "^3.3.0"}
@@ -22,6 +23,7 @@ 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"
@@ -0,0 +1,23 @@
+"""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",
+]
@@ -0,0 +1,420 @@
+"""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, Tuple, 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 = ""
+    ) -> Tuple[str, str]:
+        """Save a base model to a new version on the project.
+
+        Args:
+            root_object (Base): The Speckle base object for the new version.
+            model_id (str): For now please use a `branchName`!
+            version_message (str): The message for the new version.
+        """
+
+        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,
+            )
+            if isinstance(branch_create, Exception):
+                raise branch_create
+            model_id = branch_create
+        else:
+            model_id = branch.id
+
+        root_object_id = operations.send(
+            root_object,
+            [self._server_transport, self._memory_transport],
+            use_default_cache=False,
+        )
+
+        version_id = self.speckle_client.commit.create(
+            stream_id=self.automation_run_data.project_id,
+            object_id=root_object_id,
+            branch_name=model_name,
+            message=version_message,
+            source_application="SpeckleAutomate",
+        )
+
+        if isinstance(version_id, SpeckleException):
+            raise version_id
+
+        self._automation_result.result_versions.append(version_id)
+        return model_id, version_id
+
+    @property
+    def context_view(self) -> Optional[str]:
+        return self._automation_result.result_view
+
+    def set_context_view(
+        self,
+        # f"{model_id}@{version_id} or {model_id} "
+        resource_ids: Optional[List[str]] = None,
+        include_source_model_version: bool = True,
+    ) -> None:
+        link_resources = (
+            [
+                f"{self.automation_run_data.model_id}@{self.automation_run_data.version_id}"
+            ]
+            if include_source_model_version
+            else []
+        )
+        if resource_ids:
+            link_resources.extend(resource_ids)
+        if not link_resources:
+            raise Exception(
+                "We do not have enough resource ids to compose a context view"
+            )
+        self._automation_result.result_view = (
+            f"/projects/{self.automation_run_data.project_id}"
+            f"/models/{','.join(link_resources)}"
+        )
+
+    def report_run_status(self) -> None:
+        """Report the current run status to the project of this automation."""
+        query = gql(
+            """
+            mutation ReportFunctionRunStatus(
+                $automationId: String!, 
+                $automationRevisionId: String!, 
+                $automationRunId: String!,
+                $versionId: String!,
+                $functionId: String!,
+                $functionName: String!,
+                $functionLogo: String,
+                $runStatus: AutomationRunStatus!
+                $elapsed: Float!
+                $contextView: String
+                $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,
+                            contextView: $contextView,
+                            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,
+            "contextView": self._automation_result.result_view,
+            "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"Created new {level.value.upper()}"
+            f" category: {category} caused by: {message}"
+        )
+        self._automation_result.object_results.append(
+            ResultCase(
+                category=category,
+                level=level,
+                object_ids=id_list,
+                message=message,
+                metadata=metadata,
+                visual_overrides=visual_overrides,
+            )
+        )
@@ -0,0 +1,54 @@
+"""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()
@@ -0,0 +1,152 @@
+"""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:
+        if not automation_context.context_view:
+            automation_context.set_context_view()
+        automation_context.report_run_status()
+        return automation_context
@@ -0,0 +1,74 @@
+""""""
+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)
@@ -1,14 +1,8 @@
-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,
@@ -131,7 +125,9 @@ 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:
@@ -143,7 +139,9 @@ 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:
@@ -155,5 +153,7 @@ 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)
@@ -9,12 +9,15 @@ 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]:
@@ -35,11 +38,12 @@ 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,
@@ -61,7 +65,8 @@ 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:
@@ -73,5 +78,5 @@ 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
@@ -1,4 +1,4 @@
-from typing import List, Optional
+from typing import List, Optional, Union

 from gql import gql

@@ -7,6 +7,7 @@ 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):
@@ -55,8 +56,8 @@ class Resource(CoreResource):
        branch_name: str = "main",
        message: str = "",
        source_application: str = "python",
-        parents: List[str] = None,
-    ) -> str:
+        parents: Optional[List[str]] = None,
+    ) -> Union[str, SpeckleException]:
        """
        Creates a commit on a branch

@@ -76,7 +77,9 @@ 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:
        """
@@ -1,9 +1,10 @@
-from typing import List, Optional
+from typing import List, Optional, Union

 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"

@@ -106,8 +107,8 @@ class Resource(ResourceBase):
        branch_name: str = "main",
        message: str = "",
        source_application: str = "python",
-        parents: List[str] = None,
-    ) -> str:
+        parents: Optional[List[str]] = None,
+    ) -> Union[str, SpeckleException]:
        """
        Creates a commit on a branch

@@ -1,5 +1,6 @@
 from urllib.parse import unquote, urlparse
 from warnings import warn
+from gql import gql

 from specklepy.core.api.client import SpeckleClient
 from specklepy.core.api.credentials import (
@@ -81,13 +82,25 @@ class StreamWrapper:
                " provided."
            )

+        # check for fe2 URL
+        if "/projects/" in parsed.path:
+            use_fe2 = True
+        else:
+            use_fe2 = False
+
        while segments:
            segment = segments.pop(0)
-            if segments and segment.lower() == "streams":
+            if segments and (
+                (use_fe2 is False and segment.lower() == "streams")
+                or (use_fe2 is True and segment.lower() == "projects")
+            ):
                self.stream_id = segments.pop(0)
            elif segments and segment.lower() == "commits":
                self.commit_id = segments.pop(0)
-            elif segments and segment.lower() == "branches":
+            elif segments and (
+                (use_fe2 is False and segment.lower() == "branches")
+                or (use_fe2 is True and segment.lower() == "models")
+            ):
                self.branch_name = unquote(segments.pop(0))
            elif segments and segment.lower() == "objects":
                self.object_id = segments.pop(0)
@@ -101,6 +114,38 @@ class StreamWrapper:
                    " provided."
                )

+        if use_fe2 is True and self.branch_name is not None:
+            if "," in self.branch_name:
+                raise SpeckleException("Multi-model urls are not supported yet")
+
+            if "@" in self.branch_name:
+                model_id = self.branch_name.split("@")[0]
+                self.commit_id = self.branch_name.split("@")[1]
+            else:
+                model_id = self.branch_name
+
+            # get branch name
+            query = gql(
+                """
+                query Project($project_id: String!, $model_id: String!) {
+                    project(id: $project_id) {
+                        id
+                        model(id: $model_id) {
+                            name
+                        }
+                    }
+                }
+            """
+            )
+            self._client = self.get_client()
+            params = {"project_id": self.stream_id, "model_id": model_id}
+            project = self._client.httpclient.execute(query, params)
+
+            try:
+                self.branch_name = project["project"]["model"]["name"]
+            except KeyError as ke:
+                raise SpeckleException("Project model name is not found", ke)
+
        if not self.stream_id:
            raise SpeckleException(
                f"Cannot parse {url} into a stream wrapper class - no stream id found."
@@ -1,4 +1,4 @@
-from typing import Any, Dict, List, Optional
+from typing import Any, Dict, List, Union, Optional
 from specklepy.objects.base import Base
 from specklepy.objects.other import Collection

@@ -28,6 +28,61 @@ 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"}, 
@@ -37,7 +92,7 @@ class VectorLayer(
    """GIS Vector Layer"""

    name: Optional[str]=None
-    crs: Optional[CRS]=None
+    crs: Optional[Union[CRS, Base]]=None
    units: Optional[str] = None
    elements: Optional[List[Base]] = None
    attributes: Optional[Base] = None
@@ -63,9 +118,9 @@ class RasterLayer(
    """GIS Raster Layer"""

    name: Optional[str] = None
-    crs: Optional[CRS]=None
+    crs: Optional[Union[CRS, Base]]=None
    units: Optional[str] = None
-    rasterCrs: Optional[CRS]=None
+    rasterCrs: Optional[Union[CRS, Base]]=None
    elements: Optional[List[Base]] = None
    geomType: Optional[str] = "None"
    renderer: Optional[Dict[str, Any]] = None
@@ -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[int]
+    turns: Optional[float]
    pitchAxis: Optional[Vector] = Vector()
    pitch: float = 0
    spiralType: Optional[SpiralType] = None
@@ -1,7 +1,7 @@
 from typing import Any, List, Optional
 from deprecated import deprecated

-from specklepy.objects.geometry import Point, Vector
+from specklepy.objects.geometry import Point, Vector, Plane, Polyline

 from .base import Base

@@ -71,6 +71,18 @@ class DisplayStyle(Base, speckle_type=OTHER + "DisplayStyle"):
    lineweight: float = 0


+class Text(Base, speckle_type=OTHER + "Text"):
+    """
+    Text object to render it on viewer.
+    """
+    plane: Plane
+    value: str
+    height: float
+    rotation: float
+    displayValue: Optional[List[Polyline]] = None
+    richText: Optional[str] = None
+
+
 class Transform(
    Base,
    speckle_type=OTHER + "Transform",
@@ -0,0 +1,285 @@
+"""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"
+    model_id, version_id = automation_context.create_new_version_in_project(
+        root_object, "foobar"
+    )
+
+    assert model_id is not None
+    assert version_id is not None
+
+
+def test_set_context_view(automation_context: AutomationContext) -> None:
+    automation_context.set_context_view()
+
+    assert automation_context.context_view is not None
+    assert automation_context.context_view.endswith(
+        f"models/{automation_context.automation_run_data.model_id}@{automation_context.automation_run_data.version_id}"
+    )
+
+    automation_context.report_run_status()
+
+    automation_context._automation_result.result_view = None
+
+    dummy_context = "foo@bar"
+    automation_context.set_context_view([dummy_context])
+
+    assert automation_context.context_view is not None
+    assert automation_context.context_view.endswith(
+        f"models/{automation_context.automation_run_data.model_id}@{automation_context.automation_run_data.version_id},{dummy_context}"
+    )
+    automation_context.report_run_status()
+
+    automation_context._automation_result.result_view = None
+
+    dummy_context = "foo@baz"
+    automation_context.set_context_view(
+        [dummy_context], include_source_model_version=False
+    )
+
+    assert automation_context.context_view is not None
+    assert automation_context.context_view.endswith(f"models/{dummy_context}")
+    automation_context.report_run_status()
@@ -126,3 +126,24 @@ def test_wrapper_url_match(user_path) -> None:
    account = wrap.get_account()

    assert account.userInfo.email is None
+
+
+def test_parse_project():
+    wrap = StreamWrapper("https://latest.speckle.systems/projects/843d07eb10")
+    assert wrap.type == "stream"
+
+
+def test_parse_model():
+    wrap = StreamWrapper(
+        "https://latest.speckle.systems/projects/843d07eb10/models/d9eb4918c8"
+    )
+
+    assert wrap.branch_name == "building wrapper"
+    assert wrap.type == "branch"
+
+
+def test_parse_version():
+    wrap = StreamWrapper(
+        "https://latest.speckle.systems/projects/843d07eb10/models/4e7345c838@c42d5cbac1"
+    )
+    assert wrap.type == "commit"
Author	SHA1	Message	Date
Gergő Jedlicska	f6917b0761	Merge pull request #318 from specklesystems/gergo/markLogs feat: reduce log message context for object results	2023-11-13 11:39:49 +01:00
Gergő Jedlicska	04764b17eb	feat: reduce log message context for object results	2023-11-13 09:14:06 +01:00
Gergő Jedlicska	dbe3d759f6	Merge pull request #317 from specklesystems/KatKatKateryna-patch-1 handle "append" with incoming type "list"	2023-11-13 09:09:23 +01:00
KatKatKateryna	f6ff484e66	handle "append" with incoming type "list"	2023-11-13 04:53:03 +08:00
Gergő Jedlicska	bd000395af	Merge pull request #316 from specklesystems/gergo/contextViewFix fix: report relative url for context view	2023-11-11 08:32:40 +01:00
Gergő Jedlicska	10f49579fd	fix: report relative url for context view	2023-11-11 08:29:16 +01:00
Gergő Jedlicska	1693465dfc	Merge pull request #314 from specklesystems/kate/stream_wrapper_fe2 update stream wrapper; add tests	2023-11-10 15:15:12 +01:00
Gergő Jedlicska	c3a7ead8f5	Merge branch 'main' into kate/stream_wrapper_fe2	2023-11-10 15:11:28 +01:00
Gergő Jedlicska	d151a8d0ae	Merge pull request #315 from specklesystems/jrm/minio/fix Pinned MinIO version for integration test docker compose	2023-11-10 15:06:14 +01:00
Gergő Jedlicska	c0dd88cbdb	fix: pin minio release to fix tests	2023-11-10 15:04:30 +01:00
Jedd Morgan	71d3589e72	pinned MinIO version for integration test docker compose	2023-11-10 13:54:02 +00:00
KatKatKateryna	5bde1bc2d6	remove library	2023-11-09 17:36:06 +00:00
KatKatKateryna	75e6f0229a	update stream wrapper; add tests	2023-11-09 17:34:57 +00:00
Gergő Jedlicska	5d7e71f357	Merge pull request #313 from specklesystems/oguzhan/text-object Chore (Objects): Add text object definition	2023-10-30 12:37:02 +01:00
oguzhankoral	6c223b6fb3	Exclude displayStyle from Text object It shouldn't be have displayStyle for general purpose Text object, because displayStyle more Rhino and AutoCAD specific	2023-10-30 14:07:36 +03:00
oguzhankoral	e6131a7956	Fix typo on type of displayValue	2023-10-30 11:51:15 +03:00
oguzhankoral	45b50e4f26	Add optional props of Objects.Other.Text	2023-10-30 11:42:30 +03:00
oguzhankoral	d9b92490ec	Add text object definition	2023-10-27 16:33:02 +03:00
Gergő Jedlicska	37c09fa56c	Merge pull request #311 from specklesystems/gergo/contextView fix: automate sdk context view is a realative url	2023-10-26 15:38:50 +02:00
Gergő Jedlicska	cbae4d300d	Merge branch 'main' into gergo/contextView	2023-10-26 15:36:30 +02:00
Gergő Jedlicska	2742c12e31	fix: automate sdk context view is a realative url	2023-10-26 15:35:39 +02:00
Gergő Jedlicska	6dd0813089	Merge pull request #310 from specklesystems/gergo/contextView Gergo/context view	2023-10-26 15:02:37 +02:00
Gergő Jedlicska	a1831b57db	feat: automation context result view reporting and creating	2023-10-26 15:00:03 +02:00
Gergő Jedlicska	1ff3245531	feat: automate sdk report context view	2023-10-26 13:32:48 +02:00
Gergő Jedlicska	3b4723a186	Merge pull request #309 from specklesystems/gergo/automateReportFunctionName feat: migrate to new automate api	2023-10-25 18:06:44 +02:00
Gergő Jedlicska	efe9551c5e	fix: legacy typing and tests	2023-10-25 17:53:23 +02:00
Gergő Jedlicska	23a5087fbc	feat: migrate to new automate api	2023-10-25 17:46:00 +02:00
Gergő Jedlicska	52c8e37a5b	Merge pull request #305 from specklesystems/gergo/automation_runner_refactor gergo/automation runner refactor	2023-10-11 11:10:41 +02:00
Gergő Jedlicska	6a6b3d4c3d	ci: disable docker layer caching	2023-10-11 11:06:30 +02:00
Gergő Jedlicska	8f32aa014e	ci: release the pin	2023-10-11 11:03:08 +02:00
Gergő Jedlicska	11c6221972	ci: pin to new server image	2023-10-11 10:59:12 +02:00
Gergő Jedlicska	262be44423	chore: bump package version	2023-10-11 09:54:44 +02:00
Gergő Jedlicska	fd3d97cf5a	Merge branch 'main' into gergo/automation_runner_refactor	2023-10-10 18:09:40 +02:00
Gergő Jedlicska	9dba99ad26	Merge pull request #308 from specklesystems/gergo/spiralTurnsFix fix(objects): spiral turns should be optional floats	2023-10-09 15:13:21 +02:00
Gergő Jedlicska	2810598336	fix(objects): spiral turns should be optional floats	2023-10-09 14:25:27 +02:00
Gergő Jedlicska	f918582ed2	Merge pull request #307 from specklesystems/branch_id_name pass branch name to commit.create	2023-10-04 15:53:41 +02:00
KatKatKateryna	9181440c62	pass branch name to commit.create	2023-10-04 14:24:30 +02:00
Gergő Jedlicska	62912d4428	Merge pull request #306 from specklesystems/gergo/automateRaise fix(automate_sdk): make sure we throw for failed version create	2023-10-03 16:08:00 +02:00
Gergő Jedlicska	67cf41d721	fix(automate_sdk): get model name from id	2023-10-03 16:04:22 +02:00
Gergő Jedlicska	4ad3761478	fix(automate_sdk): make sure we throw for failed version create	2023-10-03 15:28:50 +02:00
Gergő Jedlicska	6e8e08ae94	fix(automate): support py >= 3.10 typing	2023-10-03 08:13:40 +02:00
Gergő Jedlicska	6e7c36223f	fix(automate_sdk): functions have releases	2023-10-02 14:03:07 +02:00
Gergő Jedlicska	b1f979a10a	WIP: rework result schema	2023-10-02 14:00:34 +02:00
Gergő Jedlicska	d1ebd84cca	extract useful functions to helpers module	2023-09-21 19:02:42 +02:00
Gergő Jedlicska	fe92e49c59	refactor run automation to directly take in a context	2023-09-21 15:24:04 +02:00
Gergő Jedlicska	fbbd6c0dd7	Merge pull request #303 from specklesystems/gergo/speckle_automate feat: add speckle automate package with some basic sanity tests	2023-09-20 10:06:10 +02:00
Gergő Jedlicska	8ffe219111	chore: update deps	2023-09-19 20:22:57 +02:00
Gergő Jedlicska	e4d087db3a	fix: we still support py38	2023-09-19 20:21:46 +02:00
Gergő Jedlicska	2e8943e961	feat: test against latest	2023-09-19 20:18:47 +02:00
Gergő Jedlicska	f254defc6b	feat: add speckle automate package with some basic sanity tests	2023-09-19 20:11:32 +02:00
KatKatKateryna	948a56a07f	Merge pull request #300 from specklesystems/2.16_backwards-compatibility add deprecated gis classes	2023-09-18 13:07:19 +01:00
KatKatKateryna	3eed9a60fa	add deprecated gis classes	2023-09-08 19:28:14 +01:00