Merge pull request #14 from specklesystems/charles/differentIterator
fix(objects): more generic iteration of objects
This commit is contained in:
@@ -2,13 +2,14 @@ from pydantic import Field
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from reportlab.platypus import SimpleDocTemplate
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from reportlab.platypus.tables import Table
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from reportlab.lib.pagesizes import letter
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from specklepy.objects import Base
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from speckle_automate import (
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AutomateBase,
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AutomationContext,
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execute_automate_function,
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)
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from typing import Dict, Generator, Any
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from typing import Dict, Generator, Any, Iterable
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from src.domain.carbon.databases.enums import (
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SteelDatabase,
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@@ -403,13 +404,13 @@ class RevitCarbonAnalyzer:
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}
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@staticmethod
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def iterate_elements(model_data) -> Generator[Dict, None, None]:
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def iterate_elements(base: Base) -> Iterable[Base]:
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"""Iterate through all elements in the model."""
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for level in getattr(model_data, "elements", []):
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for type_group in getattr(level, "elements", []):
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for element_group in getattr(type_group, "elements", []):
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for element in getattr(element_group, "elements", []):
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yield element
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elements = getattr(base, "elements", getattr(base, "@elements", None))
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if elements is not None:
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for element in elements:
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yield from RevitCarbonAnalyzer.iterate_elements(element)
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yield base
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def automate_function(
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@@ -483,6 +484,14 @@ def automate_function(
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automate_context.mark_run_failed("Model must be from Revit")
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return
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# Validate Next-Gen
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if not _validate_next_gen(model_root):
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automate_context.mark_run_failed(
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"Revit model must be sent using the v3 connector (or adapt the "
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"automation for v2)."
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)
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return
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# Run analysis - convert Speckle model to dict for processing
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results = analyzer.analyze_model(model_root)
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@@ -497,21 +506,24 @@ def automate_function(
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for element in RevitCarbonAnalyzer.iterate_elements(model_root):
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if hasattr(element, "properties"):
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element_properties = element["properties"]
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element_id = element_properties["elementId"]
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if "Embodied Carbon Calculation" in element_properties:
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for key, value in element_properties[
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"Embodied Carbon Calculation"
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].items():
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pdf_data.append(
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[
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element_id,
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key,
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"{:0.2f} {}".format(
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value["embodiedCarbon"]["value"],
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value["embodiedCarbon"]["units"],
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),
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]
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)
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# elementId became an issue for linked models. don't know why. lazy fix below. hackady-hack
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if hasattr(element_properties, "elementId"):
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element_id = element_properties["elementId"]
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if "Embodied Carbon Calculation" in element_properties:
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for key, value in element_properties[
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"Embodied Carbon Calculation"
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].items():
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pdf_data.append(
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[
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element_id,
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key,
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"{:0.2f} {}".format(
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value["embodiedCarbon"]["value"],
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value["embodiedCarbon"]["units"],
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),
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]
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)
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table = Table(pdf_data)
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doc.build([table])
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@@ -590,6 +602,13 @@ def _validate_revit_source(commit_root: Any) -> bool:
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return source_app.startswith("revit")
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def _validate_next_gen(model_root: Any) -> bool:
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"""Validate that the model was sent using the v3 connector"""
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if not getattr(model_root, "version", None) == 3:
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return False
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return True
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def _process_automation_results(
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automate_context: AutomationContext, results: dict
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) -> None:
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Generated
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-448
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-1
@@ -10,7 +10,7 @@ version = "0.1.0"
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pylint = "^3.3.4"
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python = "^3.11"
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reportlab = "^4.3.1"
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specklepy = "^2.21.0"
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specklepy = "^2.21.4"
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structlog = "^25.1.0"
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[tool.poetry.group.dev.dependencies]
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