feat: Add add_attributes serializer

capella2polarion/converters/converter_config.py

@@ -52,7 +52,50 @@ class CapellaTypeConfig:
 
     def __post_init__(self):
         """Post processing for the initialization."""
-        self.converters = _force_dict(self.converters)
+        self.converters = self._force_dict()
+
+    def _force_dict(self) -> dict[str, dict[str, t.Any]]:
+        match self.converters:
+            case None:
+                return {}
+            case str():
+                return {self.converters: {}}
+            case list():
+                return {c: {} for c in self.converters}
+            case dict():
+                return self._filter_converter_config()
+            case _:
+                raise TypeError("Unsupported Type")
+
+    def _filter_converter_config(self) -> dict[str, dict[str, t.Any]]:
+        custom_converters = (
+            "include_pre_and_post_condition",
+            "linked_text_as_description",
+            "add_attributes",
+            "add_context_diagram",
+            "add_tree_diagram",
+            "add_jinja_fields",
+            "jinja_as_description",
+        )
+        filtered_config = {}
+        assert isinstance(self.converters, dict)
+        for name, params in self.converters.items():
+            params = params or {}
+            if name not in custom_converters:
+                logger.error("Unknown converter in config %r", name)
+                continue
+
+            if name in ("add_context_diagram", "add_tree_diagram"):
+                assert isinstance(params, dict)
+                params = _filter_context_diagram_config(params)
+
+            if name in ("add_attributes",):
+                assert isinstance(params, list)  # type: ignore[unreachable]
+                params = {"attributes": params}  # type: ignore[unreachable]
+
+            filtered_config[name] = params
+
+        return filtered_config
 
 
 def _default_type_conversion(c_type: str) -> str:
@@ -283,7 +326,7 @@ def config_matches(config: CapellaTypeConfig | None, **kwargs: t.Any) -> bool:
 
 
 def _read_capella_type_configs(
-    conf: dict[str, t.Any] | list[dict[str, t.Any]] | None
+    conf: dict[str, t.Any] | list[dict[str, t.Any]] | None,
 ) -> list[dict]:
     if conf is None:
         return [{}]
@@ -299,55 +342,13 @@ def _read_capella_type_configs(
     )
 
 
-def _force_dict(
-    config: str | list[str] | dict[str, dict[str, t.Any]] | None
-) -> dict[str, dict[str, t.Any]]:
-    match config:
-        case None:
-            return {}
-        case str():
-            return {config: {}}
-        case list():
-            return {c: {} for c in config}
-        case dict():
-            return _filter_converter_config(config)
-        case _:
-            raise TypeError("Unsupported Type")
-
-
 def add_prefix(polarion_type: str, prefix: str) -> str:
     """Add a prefix to the given ``polarion_type``."""
     if prefix:
         return f"{prefix}_{polarion_type}"
     return polarion_type
 
 
-def _filter_converter_config(
-    config: dict[str, dict[str, t.Any]]
-) -> dict[str, dict[str, t.Any]]:
-    custom_converters = (
-        "include_pre_and_post_condition",
-        "linked_text_as_description",
-        "add_context_diagram",
-        "add_tree_diagram",
-        "add_jinja_fields",
-        "jinja_as_description",
-    )
-    filtered_config = {}
-    for name, params in config.items():
-        params = params or {}
-        if name not in custom_converters:
-            logger.error("Unknown converter in config %r", name)
-            continue
-
-        if name in ("add_context_diagram", "add_tree_diagram"):
-            params = _filter_context_diagram_config(params)
-
-        filtered_config[name] = params
-
-    return filtered_config
-
-
 def _filter_context_diagram_config(
     config: dict[str, t.Any]
 ) -> dict[str, t.Any]:

capella2polarion/converters/element_converter.py

@@ -1,9 +1,11 @@
 # Copyright DB InfraGO AG and contributors
 # SPDX-License-Identifier: Apache-2.0
 """Objects for serialization of capella objects to workitems."""
+
 from __future__ import annotations
 
 import collections
+import enum
 import hashlib
 import logging
 import mimetypes
@@ -33,6 +35,14 @@
 logger = logging.getLogger(__name__)
 C2P_IMAGE_PREFIX = "__C2P__"
 JINJA_RENDERED_IMG_CLS = "jinja-rendered-image"
+ARCHITECTURE_LAYERS: dict[str, str] = {
+    "common": "Common",
+    "oa": "Operational Analysis",
+    "sa": "System Analysis",
+    "la": "Logical Architecture",
+    "pa": "Physical Architecture",
+    "epbs": "EPBS",
+}
 
 
 def resolve_element_type(type_: str) -> str:
@@ -57,6 +67,16 @@ def _format(texts: list[str]) -> dict[str, str]:
     return requirement_types
 
 
+def _resolve_capella_attribute(
+    element: m.ModelElement | m.Diagram, attribute: str
+) -> polarion_api.TextContent:
+    value = getattr(element, attribute)
+    if isinstance(value, enum.Enum):
+        return polarion_api.TextContent(type="string", value=value.name)
+
+    raise ValueError(f"Unsupported attribute type: {value!r}")
+
+
 class CapellaWorkItemSerializer(polarion_html_helper.JinjaRendererMixin):
     """The general serializer class for CapellaWorkItems."""
 
@@ -424,6 +444,10 @@ def __generic_work_item(
             obj, raw_description or markupsafe.Markup("")
         )
         converter_data.description_references = uuids
+        layer = polarion_api.TextContent(
+            type="string",
+            value=ARCHITECTURE_LAYERS.get(converter_data.layer, "UNKNOWN"),
+        )
         requirement_types = self._get_requirement_types_text(obj)
 
         converter_data.work_item = data_model.CapellaWorkItem(
@@ -433,6 +457,7 @@ def __generic_work_item(
             uuid_capella=obj.uuid,
             description=polarion_api.HtmlContent(value),
             status="open",
+            layer=layer,
             **requirement_types,  # type:ignore[arg-type]
         )
         assert converter_data.work_item is not None
@@ -441,6 +466,32 @@ def __generic_work_item(
 
         return converter_data.work_item
 
+    def _add_attributes(
+        self,
+        converter_data: data_session.ConverterData,
+        attributes: list[dict[str, t.Any]],
+    ):
+        assert converter_data.work_item is not None
+        for attribute in attributes:
+            try:
+                value = _resolve_capella_attribute(
+                    converter_data.capella_element, attribute["capella_attr"]
+                )
+                setattr(
+                    converter_data.work_item, attribute["polarion_id"], value
+                )
+            except AttributeError:
+                logger.error(
+                    "Attribute %r not found on %r",
+                    attribute["capella_attr"],
+                    converter_data.type_config.p_type,
+                )
+                continue
+            except ValueError as error:
+                logger.error(error.args[0])
+
+        return converter_data.work_item
+
     def _diagram(
         self,
         converter_data: data_session.ConverterData,
@@ -451,6 +502,10 @@ def _diagram(
         assert converter_data.work_item is not None
         assert isinstance(diagram, m.Diagram)
         work_item_id = converter_data.work_item.id
+        layer = polarion_api.TextContent(
+            type="string",
+            value=ARCHITECTURE_LAYERS.get(converter_data.layer, "UNKNOWN"),
+        )
 
         diagram_html, attachment = self._draw_diagram_svg(
             diagram,
@@ -473,6 +528,7 @@ def _diagram(
             uuid_capella=diagram.uuid,
             description=polarion_api.HtmlContent(diagram_html),
             status="open",
+            layer=layer,
         )
         if attachment:
             self._add_attachment(converter_data.work_item, attachment)

capella2polarion/converters/model_converter.py

@@ -9,6 +9,7 @@
 
 import capellambse
 import polarion_rest_api_client as polarion_api
+from capellambse import model as m
 
 from capella2polarion import data_model
 from capella2polarion.connectors import polarion_repo
@@ -63,8 +64,9 @@ def read_model(
 
         if config.diagram_config:
             for d in self.model.diagrams:
+                layer = get_layer_name(d)
                 self.converter_session[d.uuid] = data_session.ConverterData(
-                    "", config.diagram_config, d
+                    layer, config.diagram_config, d
                 )
 
         if missing_types:
@@ -176,3 +178,30 @@ def generate_work_item_links(
                 link_serializer.create_grouped_back_link_fields(
                     converter_data.work_item, local_back_links
                 )
+
+
+def get_layer_name(diagram: m.Diagram) -> str:
+    """Return the layer name for a diagram."""
+    match diagram.type.name:
+        case (
+            "OEBD"
+            | "OAIB"
+            | "OAB"
+            | "OABD"
+            | "ORB"
+            | "OES"
+            | "OAS"
+            | "OPD"
+            | "OCB"
+        ):
+            return "oa"
+        case "CM" | "MB" | "CC" | "MCB" | "SFBD" | "SDFB" | "SAB" | "CSA":
+            return "sa"
+        case "LCBD" | "LFBD" | "LDFB" | "LAB" | "CRR":
+            return "la"
+        case "PFBD" | "PDFB" | "PCBD" | "PAB" | "PPD":
+            return "pa"
+        case "EAB" | "CIBD":
+            return "epbs"
+        case _:
+            return "common"

docs/source/features/sync.rst

@@ -59,6 +59,10 @@ specific serializer alone:
 | linked_text_as_description           | A serializer resolving ``Constraint`` s and their    |
 |                                      | linked text.                                         |
 +--------------------------------------+------------------------------------------------------+
+| add_attributes                       | A serializer adding arbitrary attributes as custom   |
+|                                      | fields to the work item. For now only supports enum  |
+|                                      | attributes!                                          |
++--------------------------------------+------------------------------------------------------+
 | add_context_diagram                  | A serializer adding a context diagram to the work    |
 |                                      | item. This requires node.js to be installed.         |
 |                                      | The Capella objects where ``context_diagram`` is     |

pyproject.toml

@@ -129,6 +129,7 @@ disable = [
   "too-many-public-methods",
   "too-many-return-statements",
   "too-many-statements",
+  "too-many-positional-arguments",
 
   # Auto-formatting
   "bad-indentation",