Add Eunomia Integration Tests

modules/modeling/module_modeling_llm/module_modeling_llm/core/generate_suggestions.py

@@ -1,14 +1,17 @@
+import base64
 from athena.schemas.grading_criterion import StructuredGradingCriterion
 from langchain_core.output_parsers import PydanticOutputParser
 from langchain_core.prompts import ChatPromptTemplate
 
 from athena import emit_meta
 from module_modeling_llm.config import BasicApproachConfig
+from module_modeling_llm.helios_renderer.api import render_diagram
 from module_modeling_llm.models.assessment_model import AssessmentModel
 from module_modeling_llm.prompts.apollon_format_description import apollon_format_description
 from llm_core.utils.predict_and_parse import predict_and_parse
 from module_modeling_llm.prompts.graded_feedback_prompt import GradedFeedbackInputs
 from module_modeling_llm.models.exercise_model import ExerciseModel
+from langchain_core.prompts import ChatPromptTemplate, HumanMessagePromptTemplate
 
 async def generate_suggestions(
         exercise_model: ExerciseModel, 
@@ -37,6 +40,19 @@ async def generate_suggestions(
         feedback_output_format=PydanticOutputParser(pydantic_object=AssessmentModel).get_format_instructions()
     )
 
+    diagram_json = exercise_model.model
+    png_data = render_diagram(diagram_json, {value: key for key, value in exercise_model.element_id_mapping.items()})
+    base64_image = base64.b64encode(png_data).decode("utf-8")
+
+    chat_prompt = ChatPromptTemplate.from_messages([
+        ("system", config.generate_suggestions_prompt.graded_feedback_system_message),
+        ("human", config.generate_suggestions_prompt.graded_feedback_human_message),
+        HumanMessagePromptTemplate.from_template(
+            [{'image_url': {'url': f'data:image/jpeg;base64,{base64_image}', 'detail': 'high'}}]
+        )
+    ])
+
+
     chat_prompt = ChatPromptTemplate.from_messages([
         ("system", config.generate_suggestions_prompt.graded_feedback_system_message),
         ("human", config.generate_suggestions_prompt.graded_feedback_human_message)])

modules/modeling/module_modeling_llm/module_modeling_llm/helios_renderer/api.py

@@ -0,0 +1,34 @@
+import json
+from typing import Dict, Optional, cast
+from module_modeling_llm.helios_renderer.models.diagram import UMLDiagram
+from module_modeling_llm.helios_renderer.utils.config_loader import load_all_configs
+from module_modeling_llm.helios_renderer.renderers.uml_renderer import UMLRenderer
+from module_modeling_llm.helios_renderer.utils.css_loader import load_css
+
+# Global initialization
+# Load configs and css once
+_CONFIGS = load_all_configs()
+_CSS = load_css()
+_RENDERER = UMLRenderer(_CONFIGS, _CSS)
+
+def render_diagram(json_data: str, name_map: Optional[Dict[str, str]] = None) -> bytes:
+
+    # Parse diagram
+    diagram_data = json.loads(json_data)
+    diagram = cast(UMLDiagram, diagram_data)
+
+    if name_map:
+        for elem in diagram['elements'].values():
+            elem_id = elem['id']
+            if elem_id in name_map:
+                elem['name'] = name_map[elem_id]
+
+        for rel in diagram['relationships'].values():
+            rel_id = rel['id']
+            if rel_id in name_map:
+                rel['name'] = name_map[rel_id]
+
+    # Render using the pre-initialized renderer
+    png_data = _RENDERER.render_to_bytes(diagram)
+
+    return png_data

modules/modeling/module_modeling_llm/module_modeling_llm/helios_renderer/config/diagram_elements.json

@@ -0,0 +1,7 @@
+{
+    "default": {
+      "shape": "rectangle",
+      "class_name": "uml-element",
+      "text_class": "uml-element-name"
+    }
+  }

modules/modeling/module_modeling_llm/module_modeling_llm/helios_renderer/config/diagram_relationships.json

@@ -0,0 +1,3 @@
+{
+    "default": {}
+}

modules/modeling/module_modeling_llm/module_modeling_llm/helios_renderer/config/markers.json

@@ -0,0 +1,9 @@
+{
+    "arrow": {
+      "path": "M 0 0 L 10 5 L 0 10 z",
+      "viewBox": "0 0 10 10",
+      "refX": "9",
+      "refY": "5",
+      "fill": "black"
+    }
+  }

modules/modeling/module_modeling_llm/module_modeling_llm/helios_renderer/models/bounds.py

@@ -0,0 +1,8 @@
+from dataclasses import dataclass
+
+@dataclass
+class Bounds:
+    x: float
+    y: float
+    width: float
+    height: float

modules/modeling/module_modeling_llm/module_modeling_llm/helios_renderer/models/config_types.py

@@ -0,0 +1,26 @@
+from typing import TypedDict, Optional, Dict
+
+class ElementConfigEntry(TypedDict):
+    shape: str
+    class_name: str
+    text_class: str
+
+class RelationshipConfigEntry(TypedDict):
+    marker_end: Optional[str]
+    stroke_dasharray: Optional[str]
+
+class MarkerConfigEntry(TypedDict):
+    path: str
+    viewBox: str
+    refX: str
+    refY: str
+    fill: str
+
+ElementConfig = Dict[str, ElementConfigEntry]
+RelationshipConfig = Dict[str, RelationshipConfigEntry]
+MarkerConfig = Dict[str, MarkerConfigEntry]
+
+class AllConfigs(TypedDict):
+    elements: ElementConfig
+    relationships: RelationshipConfig
+    markers: MarkerConfig

modules/modeling/module_modeling_llm/module_modeling_llm/helios_renderer/models/diagram.py

@@ -0,0 +1,15 @@
+from typing import Dict, Any, TypedDict
+from .element import Element
+from .relationship import Relationship
+
+class UMLDiagram(TypedDict):
+    id: str
+    title: str
+    elements: Dict[str, Element]
+    relationships: Dict[str, Relationship]
+    version: str
+    type: str
+    size: Dict[str, int]
+    interactive: Dict[str, Any]
+    assessments: Dict[str, Any]
+    lastUpdate: str

modules/modeling/module_modeling_llm/module_modeling_llm/helios_renderer/models/element.py

@@ -0,0 +1,11 @@
+from typing import Dict, List, Optional, TypedDict, Any
+
+class Element(TypedDict):
+    id: str
+    type: str
+    name: str
+    owner: Optional[str]
+    bounds: Dict[str, float]
+    attributes: Optional[List[str]]
+    methods: Optional[List[str]]
+    properties: Optional[Dict[str, Any]]

modules/modeling/module_modeling_llm/module_modeling_llm/helios_renderer/models/relationship.py

@@ -0,0 +1,29 @@
+from typing import Dict, List, Optional, TypedDict
+
+class Message(TypedDict):
+    type: str
+    name: str
+    direction: str  # 'target' or 'source'
+
+class EndpointData(TypedDict):
+    element: str
+    multiplicity: Optional[str]
+    role: Optional[str]
+    direction: Optional[str]
+
+class Relationship(TypedDict):
+    id: str
+    type: str
+    name: str
+    owner: Optional[str]
+    source: EndpointData
+    target: EndpointData
+    path: List[Dict[str, float]]
+    bounds: Dict[str, float]
+    isManuallyLayouted: Optional[bool]
+    stroke_dasharray: Optional[str]
+    marker_start: Optional[str]
+    marker_end: Optional[str]
+    messages: Optional[List[Message]]
+    _source_point: Optional[Dict[str, float]]
+    _target_point: Optional[Dict[str, float]]

modules/modeling/module_modeling_llm/module_modeling_llm/helios_renderer/renderers/element_renderer.py

@@ -0,0 +1,42 @@
+from typing import Dict
+import xml.etree.ElementTree as ET
+
+from jinja2 import Template
+from module_modeling_llm.helios_renderer.models.bounds import Bounds
+from module_modeling_llm.helios_renderer.models.config_types import ElementConfig, ElementConfigEntry
+from module_modeling_llm.helios_renderer.models.element import Element
+from module_modeling_llm.helios_renderer.utils.template_manager import TemplateManager
+
+class ElementRenderer:
+    """
+    Renders UML elements (like classes) into an SVG <g> element using a Jinja2 template.
+    """
+
+    def __init__(self, element_config: ElementConfig, template_manager: TemplateManager):
+        self.element_config = element_config
+        self.template_manager = template_manager
+
+    def render(self, element: Element, svg: ET.Element) -> None:
+        """
+        Render a single UML element into the given SVG root.
+
+        Args:
+            element (Element): The UML element to render.
+            svg (ET.Element): The SVG root element to append to.
+            elements_by_id (Dict[str, Element]): All elements keyed by ID (not always needed here).
+        """
+
+        elem_type = element.get('type', 'default')
+        config: ElementConfigEntry = self.element_config.get(elem_type, self.element_config['default'])
+        bounds = Bounds(**element['bounds'])
+
+        template: Template = self.template_manager.get_template('element.svg.jinja')
+        svg_content: str = template.render(
+            element=element,
+            bounds=bounds,
+            element_shape=config['shape'],
+            element_class=config['class_name'],
+            element_text_class=config['text_class']
+        )
+        group: ET.Element = ET.fromstring(svg_content)
+        svg.append(group)

modules/modeling/module_modeling_llm/module_modeling_llm/helios_renderer/renderers/relationship_renderer.py

@@ -0,0 +1,92 @@
+from typing import Dict, List, Tuple
+import xml.etree.ElementTree as ET
+from module_modeling_llm.helios_renderer.services.path_service import compute_relationship_path
+from module_modeling_llm.helios_renderer.models.element import Element
+from module_modeling_llm.helios_renderer.models.relationship import Relationship
+from module_modeling_llm.helios_renderer.models.config_types import RelationshipConfig
+from module_modeling_llm.helios_renderer.utils.template_manager import TemplateManager
+
+class RelationshipRenderer:
+    """
+    Renders UML relationships into SVG <path> elements
+    """
+    def __init__(self, relationship_config: RelationshipConfig, template_manager: TemplateManager) -> None:
+        self.rel_config = relationship_config
+        self.template_manager = template_manager
+
+    def render_relationship(self, rel: Relationship, svg: ET.Element, elements_by_id: Dict[str, Element]) -> None:
+        """
+        Render a UML relationship as an SVG path.   
+        Args:
+            rel (Relationship): The relationship data.
+            svg (ET.Element): The SVG parent element to append the path to.
+            elements_by_id (Dict[str, Element]): Map of element IDs to element objects. 
+        Raises:
+            ValueError: If source or target elements are missing.
+        """
+        source_element = elements_by_id.get(rel['source']['element'])
+        target_element = elements_by_id.get(rel['target']['element'])
+
+        if not source_element or not target_element:
+            raise ValueError(f"Invalid relationship {rel['id']}, missing source or target.")
+
+        # Compute the path for the relationship
+        rel['path'] = compute_relationship_path(source_element, target_element, rel)
+
+        # Compute a true midpoint along the entire polyline
+        mid_x, mid_y = self._compute_midpoint_along_path(rel['path'])
+
+        template = self.template_manager.get_template('relationship_path.svg.jinja')
+        svg_content = template.render(
+            rel=rel,
+            path_d=self._create_path_string(rel['path']),
+            mid_x=mid_x,
+            mid_y=mid_y
+        )
+        element = ET.fromstring(svg_content)
+        svg.append(element)
+
+    def _create_path_string(self, points: List[Dict[str, float]]) -> str:
+        if not points:
+            return ""
+        path = f"M {points[0]['x']} {points[0]['y']}"
+        for p in points[1:]:
+            path += f" L {p['x']} {p['y']}"
+        return path
+
+    def _compute_midpoint_along_path(self, path_points: List[Dict[str, float]]) -> Tuple[float, float]:
+        if not path_points:
+            return (0,0)
+
+        # Compute total length of the polyline and store segments
+        total_length = 0.0
+        segments = []
+        for i in range(len(path_points)-1):
+            p1 = path_points[i]
+            p2 = path_points[i+1]
+            dx = p2['x'] - p1['x']
+            dy = p2['y'] - p1['y']
+            seg_length = (dx**2 + dy**2)**0.5
+            segments.append((p1, p2, seg_length))
+            total_length += seg_length
+
+        # Target distance is half of total length
+        half_length = total_length / 2.0
+
+        # Walk along segments until we find the segment containing the midpoint
+        distance_covered = 0.0
+        for (start, end, seg_length) in segments:
+            if distance_covered + seg_length == half_length:
+                # Midpoint lies exactly at the end of this segment
+                return (end['x'], end['y'])
+            elif distance_covered + seg_length > half_length:
+                # Midpoint lies within this segment
+                remaining = half_length - distance_covered
+                ratio = remaining / seg_length
+                mid_x = start['x'] + ratio * (end['x'] - start['x'])
+                mid_y = start['y'] + ratio * (end['y'] - start['y'])
+                return (mid_x, mid_y)
+            distance_covered += seg_length
+
+        # Fallback: if something went wrong, return last point
+        return (path_points[-1]['x'], path_points[-1]['y'])