Merge pull request #303 from specklesystems/gergo/speckle_automate

feat: add speckle automate package with some basic sanity tests
chore: update deps
2023-09-20 10:06:10 +02:00 · 2023-09-19 20:22:57 +02:00 · 2023-09-19 20:21:46 +02:00 · 2023-09-19 20:18:47 +02:00 · 2023-09-19 20:11:32 +02:00 · 2023-09-18 13:07:19 +01:00
10 changed files with 1117 additions and 300 deletions
@@ -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"
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 description = "A platform independent file lock."
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 [[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\""}
 nodeenv = ">=0.11.1"
 pyyaml = ">=5.1"
 virtualenv = ">=20.10.0"
@@ -1080,19 +1109,18 @@ testutils = ["gitpython (>3)"]

 [[package]]
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-version = "7.4.0"
+version = "7.4.2"
 description = "pytest: simple powerful testing with Python"
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 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 = ">=3.8"
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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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+    {file = "ujson-5.8.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2e72ba76313d48a1a3a42e7dc9d1db32ea93fac782ad8dde6f8b13e35c229130"},
+    {file = "ujson-5.8.0-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f504117a39cb98abba4153bf0b46b4954cc5d62f6351a14660201500ba31fe7f"},
+    {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"
@@ -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,
+    ObjectResult,
+    ObjectResultLevel,
+)
+
+__all__ = [
+    "AutomationContext",
+    "AutomateBase",
+    "AutomationStatus",
+    "AutomationResult",
+    "AutomationRunData",
+    "ObjectResult",
+    "ObjectResultLevel",
+    "run_function",
+    "execute_automate_function",
+]
@@ -0,0 +1,278 @@
+"""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.objects import Base
+from specklepy.transports.memory import MemoryTransport
+from specklepy.transports.server import ServerTransport
+
+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}"
+            )
+
+        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",
+        )
+        self._automation_result.result_versions.append(version_id)
+
+    def report_run_status(self) -> None:
+        """Report the current run status to the project of this automation."""
+        query = gql(
+            """
+            mutation ReportFunctionRunStatus(
+                $automationId: String!, 
+                $automationRevisionId: String!, 
+                $automationRunId: String!,
+                $versionId: String!,
+                $functionId: String!,
+                $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)
+        )
@@ -0,0 +1,155 @@
+"""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
@@ -0,0 +1,73 @@
+""""""
+from collections import defaultdict
+from enum import Enum
+from typing import 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_revision: 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 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
@@ -0,0 +1,263 @@
+"""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_revision = 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_revision=function_revision,
+    )
+
+
+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
Author	SHA1	Message	Date
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