Copied from Deep Clean WIP function

.gitignore

@@ -311,3 +311,4 @@ pyrightconfig.json
 .ionide
 
 # End of https://www.toptal.com/developers/gitignore/api/visualstudiocode,python,pycharm
+/.idea/git_toolbox_prj.xml

.idea/inspectionProfiles/Project_Default.xml

@@ -0,0 +1,35 @@
+<component name="InspectionProjectProfileManager">
+  <profile version="1.0">
+    <option name="myName" value="Project Default" />
+    <inspection_tool class="PyCompatibilityInspection" enabled="true" level="WARNING" enabled_by_default="true">
+      <option name="ourVersions">
+        <value>
+          <list size="5">
+            <item index="0" class="java.lang.String" itemvalue="3.12" />
+            <item index="1" class="java.lang.String" itemvalue="3.11" />
+            <item index="2" class="java.lang.String" itemvalue="3.10" />
+            <item index="3" class="java.lang.String" itemvalue="3.8" />
+            <item index="4" class="java.lang.String" itemvalue="3.9" />
+          </list>
+        </value>
+      </option>
+    </inspection_tool>
+    <inspection_tool class="PyShadowingBuiltinsInspection" enabled="true" level="WEAK WARNING" enabled_by_default="true">
+      <option name="ignoredNames">
+        <list>
+          <option value="id" />
+        </list>
+      </option>
+    </inspection_tool>
+    <inspection_tool class="PyUnresolvedReferencesInspection" enabled="true" level="WARNING" enabled_by_default="true">
+      <option name="ignoredIdentifiers">
+        <list>
+          <option value="specklepy.objects.base.Base.displayValue" />
+          <option value="Utilities.utilities.HealthObject" />
+          <option value="Utilities.reporting.reportlab" />
+          <option value="meshlib.mrmeshpy" />
+        </list>
+      </option>
+    </inspection_tool>
+  </profile>
+</component>

.idea/inspectionProfiles/profiles_settings.xml

@@ -0,0 +1,6 @@
+<component name="InspectionProjectProfileManager">
+  <settings>
+    <option name="USE_PROJECT_PROFILE" value="false" />
+    <version value="1.0" />
+  </settings>
+</component>

Rules/actions.py

@@ -0,0 +1,198 @@
+from abc import ABC, abstractmethod
+from collections import defaultdict
+from typing import Dict, List, Optional, Union, Any
+from speckle_automate import AutomationContext
+from specklepy.objects import Base
+
+from Rules.rules import ParameterRules
+
+
+# Our main goal is to define actions that can be taken on parameters.
+# We'll start by creating a base class that all specific actions will inherit from.
+
+
+class ParameterAction(ABC):
+    """
+    Base class for actions on parameters.
+
+    This class provides a general structure for actions that can be applied to
+    parameters. Each action derived from this class will have to implement its
+    specific logic in the `apply` method and then provide feedback through the
+    `report` method.
+    """
+
+    def __init__(self) -> None:
+        # A dictionary to keep track of parameters affected by the action.
+        # The key is the parent object's ID, and the value is a list of
+        # parameter names that were affected.
+        self.affected_parameters: Dict[str, List[str]] = defaultdict(list)
+
+    @abstractmethod
+    def apply(self, parameter: Dict[str, str], parent_object: Dict[str, str]) -> None:
+        """Method to apply the specific action logic on the parameter."""
+        pass
+
+    @abstractmethod
+    def report(self, automate_context: AutomationContext) -> None:
+        """Method to provide feedback based on the action's results."""
+        pass
+
+
+# Now, let's create a specific action. In this example, we're removing parameters
+# that start with a specific prefix.
+
+
+class PrefixRemovalAction(ParameterAction):
+    """
+    Action to remove parameters with a specific prefix.
+    """
+
+    def __init__(self, forbidden_prefix: str) -> None:
+        super().__init__()
+        # The prefix we want to remove
+        self.forbidden_prefix: str = forbidden_prefix
+
+    def apply(
+        self, parameter: Union[Base, Dict[str, Any]], parent_object: Base
+    ) -> None:
+        """
+        Remove the parameter if its name starts with the forbidden prefix.
+        This function demonstrates the complexities of navigating and modifying
+        the structure of Revit parameters in Speckle's data model.
+
+        In Revit, custom parameters are stored with a GUID as the key, which means
+        we cannot predict the exact key ahead of time. Instead, we have to traverse
+        through the parameters and match them by another attribute, in this case,
+        the `applicationInternalName`.
+        """
+
+        # Extract the parameter name. If the parameter doesn't have a name or if the
+        # name doesn't start with the forbidden prefix, exit the function early.
+        param_name = parameter["name"]
+        if not param_name or not param_name.startswith(self.forbidden_prefix):
+            return
+
+        # The parameters in parent_object are stored in a dictionary-like structure
+        # where the key is a GUID (applicationInternalName). We need to safely
+        # access this key without causing a KeyError.
+
+        # If the parameter's parent object is a Base type, we can use the `__dict__` method
+        # to access its underlying dictionary representation.
+        if isinstance(parent_object["parameters"], Base):
+            try:
+                # Retrieve the unique GUID which corresponds to the parameter's key in the parent object.
+                application_name = parameter.__getitem__("applicationInternalName")
+
+                # Check if the GUID exists as a key in the parent object's parameters.
+                # If it does, remove that parameter from the dictionary.
+                if application_name in parent_object["parameters"].__dict__:
+                    parent_object["parameters"].__dict__.pop(application_name)
+                    self.affected_parameters[parent_object["id"]].append(param_name)
+
+            except KeyError:
+                pass
+                # This block will execute if the `applicationInternalName` key is not found in parameter.
+                # In this example, we're simply passing over this exception, but more specific error
+                # handling can be implemented if needed.
+                # Record this removal in our affected_parameters dictionary
+
+    def report(self, automate_context: AutomationContext) -> None:
+        """
+        Generate a summary of removed parameters.
+
+        After all parameters have been checked, this method will be called to
+        provide feedback on the results of the action.
+        """
+        if not self.affected_parameters:
+            return
+
+        # Summarize the names of all removed parameters
+        removed_params = set(
+            param for params in self.affected_parameters.values() for param in params
+        )
+
+        message = f"The following parameters were removed: {', '.join(removed_params)}"
+
+        # Attach this summary to the relevant objects in the AutomationContext
+        automate_context.attach_info_to_objects(
+            category="Removed_Parameters",
+            object_ids=list(self.affected_parameters.keys()),
+            message=message,
+        )
+
+
+# This example Automate function is for prefixed parameter removal. Additional example actions below follow the same
+# pattern, but with different logic. In some instances there is a strong coupling between the action and the checking
+# logic, and in others there is a looser coupling. Which is why I have defined the actions separately from the
+# checking logic.
+
+
+class MissingValueReportAction(ParameterAction):
+    """
+    This action class is designed to handle parameters that lack values.
+    It checks each parameter for a value, and if one isn't found, it records the
+    parameter's name. Later, a report can be generated that summarizes which parameters
+    are missing values.
+    """
+
+    def apply(self, parameter: Dict[str, str], parent_object: Dict[str, str]) -> None:
+        # Check if the parameter has a missing value using our predefined rule
+        if ParameterRules.has_missing_value(parameter):
+            # If missing, add the parameter's name to our affected_parameters dictionary
+            # The key is the parent object's ID for easy lookup later
+            self.affected_parameters[parent_object["id"]].append(parameter["name"])
+
+    def report(self, automate_context: AutomationContext) -> None:
+        # Construct a set of unique parameter names that have missing values
+        missing_value_params = set(
+            param for params in self.affected_parameters.values() for param in params
+        )
+
+        # Formulate a message summarizing the missing parameters
+        message = f"The following parameters have missing values: {', '.join(missing_value_params)}"
+
+        # Use the automation context to attach this message to the relevant objects
+        automate_context.attach_info_to_objects(
+            category="Missing_Values",
+            object_ids=list(self.affected_parameters.keys()),
+            message=message,
+        )
+
+
+class DefaultValueMutationAction(ParameterAction):
+    """
+    This action class is focused on parameters that have default values.
+    The goal is to detect these default values and replace them with a new specified value.
+    The parameters that were mutated will be recorded, allowing for a report to be generated
+    that summarizes the changes.
+    """
+
+    def __init__(self, new_value: Optional[str] = None) -> None:
+        super().__init__()
+        # The new value to replace defaults with; if none is given, use "Updated Value"
+        self.new_value: str = new_value or "Updated Value"
+
+    def apply(self, parameter: Dict[str, str], parent_object: Dict[str, str]) -> None:
+        # Check if the parameter has a default value
+        if ParameterRules.has_default_value(parameter):
+            # If it does, update its value with the new specified value
+            parameter["value"] = self.new_value  # Mutate the parameter value
+
+            # Record the parameter's name in our affected_parameters dictionary
+            self.affected_parameters[parent_object["id"]].append(parameter["name"])
+
+    def report(self, automate_context: AutomationContext) -> None:
+        # Construct a set of unique parameter names that were mutated
+        mutated_params = set(
+            param for params in self.affected_parameters.values() for param in params
+        )
+
+        # Formulate a message summarizing the mutated parameters
+        message = f"The following parameters were updated from default values: {', '.join(mutated_params)}"
+
+        # Use the automation context to attach this message to the relevant objects
+        automate_context.attach_info_to_objects(
+            category="Updated_Defaults",
+            object_ids=list(self.affected_parameters.keys()),
+            message=message,
+        )

Rules/rules.py

@@ -0,0 +1,78 @@
+# Required imports
+from typing import Type, Callable, Dict
+
+from specklepy.objects import Base
+
+
+# We're going to define a set of rules that will allow us to filter and
+# process parameters in our Speckle objects. These rules will be encapsulated
+# in a class called `ParameterRules`.
+
+
+class ParameterRules:
+    """
+    A collection of rules for processing parameters in Speckle objects.
+
+    This class provides static methods that return lambda functions. These
+    lambda functions serve as filters or conditions we can use in our main
+    processing logic. By encapsulating these rules, we can easily extend
+    or modify them in the future.
+    """
+
+    @staticmethod
+    def speckle_type_rule(desired_type: str) -> Callable[[Base], bool]:
+        """
+        Rule: Check if a parameter's speckle_type matches the desired type.
+        """
+        return (
+            lambda parameter: getattr(parameter, "speckle_type", None) == desired_type
+        )
+
+    @staticmethod
+    def forbidden_prefix_rule(given_prefix: str) -> Callable[[Base], bool]:
+        """
+        Rule: check if a parameter's name starts with a given prefix.
+
+        This is a simple check, but there could be more complex naming rules for parameters of
+        different types. For example, a rule that checks if a parameter's name starts with a given string
+        exists particularly within IFC where parameters are often prefixed with "Ifc" or "Pset".
+        """
+        return lambda parameter: parameter.name.startswith(given_prefix)
+
+    # This example Automate function is for prefixed parameter removal. Additional example rules below follow the same
+    # pattern, but with different logic. In some instances there is a strong coupling between the action and the checking
+    # logic, and in others there is a looser coupling. Which is why I have defined the actions separately from the
+    # checking logic.
+
+    @staticmethod
+    def has_missing_value(parameter: Dict[str, str]) -> bool:
+        """
+        Rule: Missing Value Check.
+
+        The AEC industry often requires all parameters to have meaningful values.
+        This rule checks if a parameter is missing its value, potentially indicating
+        an oversight during data entry or transfer.
+        """
+        return not parameter.get("value")
+
+    @staticmethod
+    def has_default_value(parameter: Dict[str, str]) -> bool:
+        """
+        Rule: Default Value Check.
+
+        Default values can sometimes creep into final datasets due to software defaults.
+        This rule identifies parameters that still have their default values, helping
+        to highlight areas where real, meaningful values need to be provided.
+        """
+        return parameter.get("value") == "Default"
+
+    @staticmethod
+    def parameter_exists(parameter_name: str, parent_object: Dict[str, str]) -> bool:
+        """
+        Rule: Parameter Existence Check.
+
+        For certain critical parameters, their mere presence (or lack thereof) is vital.
+        This rule verifies if a specific parameter exists within an object, allowing
+        teams to ensure that key data points are always present.
+        """
+        return parameter_name in parent_object.get("parameters", {})

Rules/traversal.py

@@ -0,0 +1,49 @@
+from specklepy.objects.graph_traversal.traversal import GraphTraversal, TraversalRule
+
+
+def get_data_traversal_rules() -> GraphTraversal:
+    """
+    Generates traversal rules for navigating Speckle data structures.
+
+    This function defines and returns traversal rules tailored for Speckle data.
+    These rules are used to navigate and extract specific data properties
+    within complex Speckle data hierarchies.
+
+    It defines two main rules:
+
+    1. `display_value_rule`:
+        - Targets objects that have properties named either "displayValue" or
+          "@displayValue".
+        - Specifically focuses on objects with a 'speckle_type' containing
+          "Geometry".
+        - For such objects, the function looks to traverse their 'elements'
+          or '@elements' properties.
+
+    2. `default_rule`:
+        - A more general rule that applies to all objects.
+        - It aims to traverse all member names of an object while avoiding
+          deprecated members (a potential enhancement for the future).
+
+    Returns:
+        GraphTraversal: A GraphTraversal instance initialized with the
+        defined rules.
+    """
+    display_value_property_aliases = {"displayValue", "@displayValue"}
+    elements_property_aliases = {"elements", "@elements"}
+
+    display_value_rule = TraversalRule(
+        [
+            lambda o: any(
+                getattr(o, alias, None) for alias in display_value_property_aliases
+            ),
+            lambda o: "Geometry" in o.speckle_type,
+        ],
+        lambda o: elements_property_aliases,
+    )
+
+    default_rule = TraversalRule(
+        [lambda _: True],
+        lambda o: o.get_member_names(),
+    )
+
+    return GraphTraversal([display_value_rule, default_rule])

poetry.lock

@@ -73,29 +73,29 @@ files = [
 
 [[package]]
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-version = "23.10.1"
+version = "23.11.0"
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 python-versions = ">=3.8"
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 ]
 
 [package.dependencies]
@@ -124,101 +124,101 @@ files = [
 
 [[package]]
 name = "charset-normalizer"
-version = "3.3.1"
+version = "3.3.2"
 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
 optional = false
 python-versions = ">=3.7.0"
 files = [
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 ]
 
 [[package]]
@@ -317,39 +317,40 @@ files = [
 
 [[package]]
 name = "httpcore"
-version = "0.18.0"
+version = "1.0.2"
 description = "A minimal low-level HTTP client."
 optional = false
 python-versions = ">=3.8"
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 [package.dependencies]
-anyio = ">=3.0,<5.0"
 certifi = "*"
 h11 = ">=0.13,<0.15"
-sniffio = "==1.*"
 
 [package.extras]
+asyncio = ["anyio (>=4.0,<5.0)"]
 http2 = ["h2 (>=3,<5)"]
 socks = ["socksio (==1.*)"]
+trio = ["trio (>=0.22.0,<0.23.0)"]
 
 [[package]]
 name = "httpx"
-version = "0.25.0"
+version = "0.25.1"
 description = "The next generation HTTP client."
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
+anyio = "*"
 certifi = "*"
-httpcore = ">=0.18.0,<0.19.0"
+httpcore = "*"
 idna = "*"
 sniffio = "*"
 
@@ -466,38 +467,38 @@ files = [
 
 [[package]]
 name = "mypy"
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+version = "1.7.0"
 description = "Optional static typing for Python"
 optional = false
 python-versions = ">=3.8"
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 [package.dependencies]
@@ -507,6 +508,7 @@ typing-extensions = ">=4.1.0"
 [package.extras]
 dmypy = ["psutil (>=4.0)"]
 install-types = ["pip"]
+mypyc = ["setuptools (>=50)"]
 reports = ["lxml"]
 
 [[package]]
@@ -544,13 +546,13 @@ files = [
 
 [[package]]
 name = "platformdirs"
-version = "3.11.0"
+version = "4.0.0"
 description = "A small Python package for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
 optional = false
 python-versions = ">=3.7"
 files = [
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 [package.extras]
@@ -803,13 +805,13 @@ files = [
 
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+version = "2.17.11"
 description = "The Python SDK for Speckle 2.0"
 optional = false
 python-versions = ">=3.8.0,<4.0"
 files = [
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 [package.dependencies]
@@ -1009,86 +1011,81 @@ files = [
 
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 description = "Module for decorators, wrappers and monkey patching."
 optional = false
-python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.7"
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 ]
 
 [[package]]
@@ -1181,4 +1178,4 @@ multidict = ">=4.0"
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.11"
-content-hash = "797bedd0237ed31ed0b9f6294271b5c0f84a4b791d43cf16f2831459abd5b5f5"
+content-hash = "c4fdb3557a519241ba9adbf905280be8542769843ba0178667fbbdcb6be57d73"

tests/test_function.py

@@ -1,19 +1,18 @@
 """Run integration tests with a speckle server."""
-import os
+
 import secrets
 import string
 
 import pytest
 from gql import gql
 from speckle_automate import (
+    AutomationContext,
     AutomationRunData,
     AutomationStatus,
     run_function,
 )
-from specklepy.api import operations
 from specklepy.api.client import SpeckleClient
 from specklepy.objects.base import Base
-from specklepy.transports.server import ServerTransport
 
 from main import FunctionInputs, automate_function
 
@@ -67,19 +66,14 @@ def register_new_automation(
 
 
 @pytest.fixture()
-def speckle_token() -> str:
-    """Provide a speckle token for the test suite."""
-    env_var = "SPECKLE_TOKEN"
-    token = os.getenv(env_var)
-    if not token:
-        raise ValueError(f"Cannot run tests without a {env_var} environment variable")
-    return token
+def speckle_token(request) -> str:
+    return request.config.SPECKLE_TOKEN
 
 
 @pytest.fixture()
-def speckle_server_url() -> str:
+def speckle_server_url(request) -> str:
     """Provide a speckle server url for the test suite, default to localhost."""
-    return os.getenv("SPECKLE_SERVER_URL", "http://127.0.0.1:3000")
+    return request.config.SPECKLE_SERVER_URL
 
 
 @pytest.fixture()
@@ -101,23 +95,18 @@ def test_object() -> Base:
 
 
 @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"
+# fixture to mock the AutomationRunData that would be generated by a full Automation Run
+def fake_automation_run_data(request, test_client: SpeckleClient) -> AutomationRunData:
+    SERVER_URL = request.config.SPECKLE_SERVER_URL
+    TOKEN = request.config.SPECKLE_TOKEN
 
-    model = test_client.branch.get(project_id, branch_name, commits_limit=1)
-    model_id: str = model.id
+    project_id = "d96e3f2579"
+    model_id = "08e5d7037a"
 
-    root_obj_id = operations.send(
-        test_object, [ServerTransport(project_id, test_client)]
-    )
-    version_id = test_client.commit.create(project_id, root_obj_id)
+    function_name = "Automate Density Check"
 
-    automation_name = crypto_random_string(10)
     automation_id = crypto_random_string(10)
+    automation_name = "Local Test Automation"
     automation_revision_id = crypto_random_string(10)
 
     register_new_automation(
@@ -129,30 +118,33 @@ def automation_run_data(
         automation_revision_id,
     )
 
-    automation_run_id = crypto_random_string(10)
-    function_id = crypto_random_string(10)
-    function_revision = crypto_random_string(10)
-    return AutomationRunData(
+    fake_run_data = AutomationRunData(
         project_id=project_id,
         model_id=model_id,
-        branch_name=branch_name,
-        version_id=version_id,
-        speckle_server_url=speckle_server_url,
+        branch_name="main",
+        version_id="3e4e274c56",
+        speckle_server_url=SERVER_URL,
+        # These ids would be available with a valid registered Automation definition.
         automation_id=automation_id,
         automation_revision_id=automation_revision_id,
-        automation_run_id=automation_run_id,
-        function_id=function_id,
-        function_revision=function_revision,
+        automation_run_id=crypto_random_string(12),
+        # These ids would be available with a valid registered Function definition. Can also be faked.
+        function_id="12345",
+        function_name=function_name,
+        function_logo=None,
     )
 
+    return fake_run_data
 
-def test_function_run(automation_run_data: AutomationRunData, speckle_token: str):
+
+def test_function_run(fake_automation_run_data: AutomationRunData, speckle_token: str):
     """Run an integration test for the automate function."""
+    context = AutomationContext.initialize(fake_automation_run_data, speckle_token)
+
     automate_sdk = run_function(
+        context,
         automate_function,
-        automation_run_data,
-        speckle_token,
-        FunctionInputs(forbidden_speckle_type="Base"),
+        FunctionInputs(density_level=1000, max_percentage_high_density_objects=0.1),
     )
 
     assert automate_sdk.run_status == AutomationStatus.FAILED

tests/test_local.py

@@ -0,0 +1,59 @@
+# Importing necessary modules and packages
+from typing import Any
+
+import pytest
+
+# Speckle is a data platform for AEC; here we're importing essential modules from it
+from specklepy.api import operations
+from specklepy.api.client import SpeckleClient
+from specklepy.objects import Base
+from specklepy.transports.server import ServerTransport
+
+
+# Setting up some pytest fixtures for testing
+# Fixtures are a way to provide consistent test data or configuration for each test
+
+
+@pytest.fixture()
+def speckle_token(request) -> str:
+    """Get the Speckle token from test configuration.
+    These variables may be in a `.env` file or as secrets in your CI/CD pipeline."""
+    return request.config.SPECKLE_TOKEN
+
+
+@pytest.fixture()
+def speckle_server_url(request) -> str:
+    """Provide a speckle server URL for the test suite.
+    Defaults to localhost if not specified. Useful only if you are spinning up a local server.
+    """
+    return request.config.SPECKLE_SERVER_URL
+
+
+@pytest.fixture()
+def test_version_object(speckle_server_url: str, speckle_token: str) -> Base:
+    """Retrieve a specific commit from the Speckle server."""
+    test_client = SpeckleClient(speckle_server_url, True)
+    test_client.authenticate_with_token(speckle_token)
+
+    # Sample project/stream and version/commit IDs
+    # Could also be environment variables
+    project_id = "PROJECT_ID"  # Replace with your stream ID
+    version_id = "VERSION_ID"  # Replace with your commit ID
+
+    transport = ServerTransport(client=test_client, stream_id=project_id)
+    version = test_client.commit.get(project_id, version_id)
+    version_object = version.referencedObject
+    obj = operations.receive(obj_id=version_object, remote_transport=transport)
+
+    return obj
+
+
+# Main test functions
+def test_real_data(test_version_object: Any, speckle_server_url: str):
+    """
+    Test your code against a real Speckle commit.
+    """
+
+    assert isinstance(Base, test_version_object)
+
+    pass