feat(rag): Add hybrid language detection and enhanced ontology mapping
Implement Heritage RAG pipeline enhancements: 1. Ontology Mapping (new file: ontology_mapping.py) - Hybrid language detection: heritage vocabulary -> fast-langdetect -> English default - HERITAGE_VOCABULARY dict (~40 terms) for domain-specific accuracy - FastText-based ML detection with 0.6 confidence threshold - Support for Dutch, French, German, Spanish, Italian, Portuguese, English - Dynamic synonym extraction from LinkML enum values - 93 comprehensive tests (all passing) 2. Schema Loader Enhancements (schema_loader.py) - Language-tagged multilingual synonym extraction for DSPy signatures - Enhanced enum value parsing with annotations support - Better error handling for malformed schema files 3. DSPy Heritage RAG (dspy_heritage_rag.py) - Fixed all 10 mypy type errors - Enhanced type annotations throughout - Improved query routing with multilingual support 4. Dependencies (pyproject.toml) - Added fast-langdetect ^1.0.0 (primary language detection) - Added types-pyyaml ^6.0.12 (mypy type stubs) Tests: 93 new tests for ontology_mapping, all passing Mypy: Clean (no type errors)
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parent
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6 changed files with 3728 additions and 45 deletions
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backend/rag/ontology_mapping.py
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1360
backend/rag/ontology_mapping.py
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@ -85,6 +85,21 @@ class ClassDefinition:
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narrow_mappings: list[str] = field(default_factory=list)
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@dataclass
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class StaffRoleDefinition:
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"""A staff role class definition from LinkML schema.
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Represents an official job title/appellation in heritage institutions,
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categorized by role family (CURATORIAL, ARCHIVAL, DIGITAL, etc.).
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"""
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name: str
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category: str # CURATORIAL, ARCHIVAL, DIGITAL, etc.
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description: Optional[str] = None
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class_uri: Optional[str] = None
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common_variants: list[str] = field(default_factory=list)
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wikidata_mapping: Optional[str] = None # e.g., wikidata:Q674426
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@dataclass
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class HeritageSchema:
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"""Complete parsed heritage custodian schema."""
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@ -109,6 +124,12 @@ class HeritageSchema:
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# Custodian types (from CustodianPrimaryTypeEnum)
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custodian_types: list[EnumValue] = field(default_factory=list)
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# Staff roles organized by category (from StaffRoles.yaml)
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staff_roles: dict[str, list[StaffRoleDefinition]] = field(default_factory=dict)
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# Role categories (from RoleCategoryEnum in StaffRole.yaml)
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role_categories: list[EnumValue] = field(default_factory=list)
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def get_sparql_prefixes(self) -> str:
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"""Generate SPARQL prefix declarations from schema prefixes."""
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lines = []
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@ -120,6 +141,24 @@ class HeritageSchema:
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"""Get list of custodian type enum values."""
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return [v.name for v in self.custodian_types]
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def get_staff_role_names(self) -> list[str]:
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"""Get flat list of all staff role class names."""
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roles = []
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for category_roles in self.staff_roles.values():
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roles.extend([r.name for r in category_roles])
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return sorted(roles)
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def get_staff_role_category_names(self) -> list[str]:
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"""Get list of staff role category names."""
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return [v.name for v in self.role_categories]
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def get_staff_roles_by_category(self) -> dict[str, list[str]]:
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"""Get staff role names organized by category."""
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return {
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category: [r.name for r in roles]
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for category, roles in self.staff_roles.items()
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}
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def get_class_description(self, class_name: str) -> Optional[str]:
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"""Get description for a class."""
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cls = self.classes.get(class_name)
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@ -154,6 +193,28 @@ class HeritageSchema:
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lines.append(f" - {uri}: {desc}")
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return "\n".join(lines)
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def format_staff_role_categories_for_prompt(self) -> str:
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"""Format staff role categories for DSPy prompt injection."""
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lines = ["Staff Role Categories (13 categories):"]
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for rc in self.role_categories:
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desc = rc.description[:60] if rc.description else rc.name
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lines.append(f" - {rc.name}: {desc}")
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return "\n".join(lines)
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def format_staff_roles_for_prompt(self, max_per_category: int = 5) -> str:
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"""Format staff roles for DSPy prompt injection.
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Args:
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max_per_category: Maximum roles to show per category (for brevity)
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"""
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lines = ["Staff Roles by Category:"]
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for category, roles in sorted(self.staff_roles.items()):
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role_names = [r.name for r in roles[:max_per_category]]
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if len(roles) > max_per_category:
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role_names.append(f"... +{len(roles) - max_per_category} more")
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lines.append(f" - {category}: {', '.join(role_names)}")
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return "\n".join(lines)
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def format_ontology_context_for_prompt(self) -> str:
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"""Format complete ontology context for DSPy prompts."""
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sections = [
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@ -173,9 +234,19 @@ class HeritageSchema:
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"",
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self.format_key_properties_for_prompt(),
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"",
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"Key Ontology Prefixes:",
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]
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# Add staff roles if loaded
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if self.role_categories:
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sections.extend([
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self.format_staff_role_categories_for_prompt(),
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"",
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self.format_staff_roles_for_prompt(),
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"",
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])
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sections.append("Key Ontology Prefixes:")
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for prefix, info in list(self.prefixes.items())[:12]: # Top 12 prefixes
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sections.append(f" PREFIX {prefix}: <{info.uri}>")
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@ -261,9 +332,22 @@ class SchemaLoader:
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# Load key slots
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schema.slots = self._load_key_slots()
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# Load staff role categories (RoleCategoryEnum)
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schema.role_categories = self._load_role_categories()
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schema.enums["RoleCategoryEnum"] = EnumDefinition(
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name="RoleCategoryEnum",
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description="Staff Role Categories",
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values=schema.role_categories,
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)
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# Load staff roles organized by category
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schema.staff_roles = self._load_staff_roles()
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self._schema = schema
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logger.info(f"Loaded schema with {len(schema.classes)} classes, "
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f"{len(schema.slots)} slots, {len(schema.custodian_types)} custodian types")
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f"{len(schema.slots)} slots, {len(schema.custodian_types)} custodian types, "
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f"{len(schema.role_categories)} role categories, "
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f"{sum(len(r) for r in schema.staff_roles.values())} staff roles")
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return schema
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@ -433,6 +517,104 @@ class SchemaLoader:
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logger.warning(f"Could not load slot from {filepath}: {e}")
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return slots
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def _load_role_categories(self) -> list[EnumValue]:
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"""Load RoleCategoryEnum values from StaffRole.yaml."""
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enum_path = self.schema_dir / "modules" / "classes" / "StaffRole.yaml"
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if not enum_path.exists():
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logger.warning(f"StaffRole.yaml not found: {enum_path}")
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return []
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try:
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with open(enum_path, "r", encoding="utf-8") as f:
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staff_role_yaml = yaml.safe_load(f)
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values = []
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enum_def = staff_role_yaml.get("enums", {}).get("RoleCategoryEnum", {})
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permissible_values = enum_def.get("permissible_values", {})
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for name, info in permissible_values.items():
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values.append(EnumValue(
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name=name,
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description=info.get("description") if info else None,
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))
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logger.debug(f"Loaded {len(values)} role categories")
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return values
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except Exception as e:
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logger.warning(f"Could not load role categories: {e}")
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return []
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def _load_staff_roles(self) -> dict[str, list[StaffRoleDefinition]]:
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"""Load staff role classes organized by category from StaffRoles.yaml.
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Parses the slot_usage.role_category.ifabsent pattern to determine category.
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Example: ifabsent: "string(CURATORIAL)" -> category = "CURATORIAL"
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Returns:
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Dictionary mapping category name to list of StaffRoleDefinition
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"""
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import re
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roles_path = self.schema_dir / "modules" / "classes" / "StaffRoles.yaml"
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if not roles_path.exists():
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logger.warning(f"StaffRoles.yaml not found: {roles_path}")
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return {}
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try:
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with open(roles_path, "r", encoding="utf-8") as f:
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roles_yaml = yaml.safe_load(f)
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roles_by_category: dict[str, list[StaffRoleDefinition]] = {}
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class_defs = roles_yaml.get("classes", {})
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# Regex to extract category from ifabsent: "string(CURATORIAL)"
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ifabsent_pattern = re.compile(r'string\((\w+)\)')
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for class_name, class_info in class_defs.items():
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if not class_info:
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continue
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# Extract category from slot_usage.role_category.ifabsent
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category = "UNKNOWN"
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slot_usage = class_info.get("slot_usage", {})
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role_category = slot_usage.get("role_category", {})
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ifabsent = role_category.get("ifabsent", "")
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match = ifabsent_pattern.search(ifabsent)
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if match:
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category = match.group(1)
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# Extract wikidata mapping from exact_mappings
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wikidata_mapping = None
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exact_mappings = class_info.get("exact_mappings", [])
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for mapping in exact_mappings:
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if mapping.startswith("wikidata:"):
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wikidata_mapping = mapping
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break
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# Create role definition
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role_def = StaffRoleDefinition(
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name=class_name,
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category=category,
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description=class_info.get("description"),
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class_uri=class_info.get("class_uri"),
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wikidata_mapping=wikidata_mapping,
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)
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# Add to category
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if category not in roles_by_category:
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roles_by_category[category] = []
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roles_by_category[category].append(role_def)
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total_roles = sum(len(r) for r in roles_by_category.values())
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logger.debug(f"Loaded {total_roles} staff roles across {len(roles_by_category)} categories")
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return roles_by_category
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except Exception as e:
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logger.warning(f"Could not load staff roles: {e}")
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return {}
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# Singleton instance for easy access
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@ -480,6 +662,45 @@ def get_key_properties_prompt() -> str:
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return get_heritage_schema().format_key_properties_for_prompt()
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# Staff Role Convenience Functions
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def get_staff_role_categories() -> list[str]:
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"""Get list of staff role category names (13 categories).
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Returns:
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List of role category names like ['CURATORIAL', 'ARCHIVAL', 'DIGITAL', ...]
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"""
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return get_heritage_schema().get_staff_role_category_names()
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def get_all_staff_roles() -> list[str]:
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"""Get flat list of all staff role class names (64 roles).
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Returns:
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List of role names like ['Curator', 'Archivist', 'DataEngineer', ...]
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"""
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return get_heritage_schema().get_staff_role_names()
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def get_staff_role_classes() -> dict[str, list[str]]:
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"""Get staff role names organized by category.
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Returns:
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Dictionary mapping category to list of role names.
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Example: {'CURATORIAL': ['Curator', 'CollectionsManager'], ...}
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"""
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return get_heritage_schema().get_staff_roles_by_category()
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def get_staff_roles_prompt() -> str:
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"""Get formatted staff roles for DSPy prompts."""
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return get_heritage_schema().format_staff_roles_for_prompt()
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def get_staff_role_categories_prompt() -> str:
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"""Get formatted staff role categories for DSPy prompts."""
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return get_heritage_schema().format_staff_role_categories_for_prompt()
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# =============================================================================
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# Schema-Aware Signature Helpers
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# =============================================================================
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@ -534,7 +755,11 @@ def create_schema_aware_sparql_docstring() -> str:
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def create_schema_aware_entity_docstring() -> str:
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"""Create docstring for entity extractor with schema-derived types."""
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"""Create docstring for entity extractor with schema-derived types.
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Includes multilingual synonyms with language tags when ontology_mapping
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module is available, enabling better entity recognition across languages.
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"""
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schema = get_heritage_schema()
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type_lines = []
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@ -543,6 +768,62 @@ def create_schema_aware_entity_docstring() -> str:
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desc = ct.description.split("(")[0].strip() if ct.description else ct.name
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type_lines.append(f" - {ct.name}: {desc}")
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# Build multilingual synonym section with language tags
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synonym_lines = []
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try:
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# Import dynamically to avoid circular imports
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from backend.rag.ontology_mapping import get_ontology_mapper
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mapper = get_ontology_mapper()
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# Key types to include synonyms for
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key_types = [
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"MUSEUM", "LIBRARY", "ARCHIVE", "GALLERY", "RESEARCH_CENTER",
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"EDUCATION_PROVIDER", "HOLY_SACRED_SITE", "BIO_CUSTODIAN",
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]
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for custodian_type in key_types:
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by_lang = mapper.get_all_synonyms_by_language(
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custodian_type, "CustodianPrimaryTypeEnum"
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)
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tagged_syns: list[str] = []
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# Sort languages for consistent output
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for lang in sorted(by_lang.keys()):
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if lang == "all": # Skip the aggregate 'all' key
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continue
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syns = by_lang[lang]
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# Take up to 2 synonyms per language
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for syn in sorted(syns)[:2]:
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tagged_syns.append(f"{syn} ({lang})")
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if tagged_syns:
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# Limit to 6 total synonyms per type for brevity
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synonym_lines.append(f" - {custodian_type}: {', '.join(tagged_syns[:6])}")
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logger.debug(f"Built multilingual synonyms for {len(synonym_lines)} types")
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except ImportError:
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logger.warning("ontology_mapping not available, using static synonyms")
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# Fallback to static synonyms without language tags
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synonym_lines = [
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' - MUSEUM: "museum", "musea", "museo", "musée"',
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' - LIBRARY: "library", "bibliotheek", "bibliothèque"',
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' - ARCHIVE: "archive", "archief", "archiv"',
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' - GALLERY: "gallery", "galerie"',
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]
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except Exception as e:
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logger.warning(f"Could not build multilingual synonyms: {e}")
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synonym_lines = []
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# Format synonym section
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if synonym_lines:
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synonym_section = f"""
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MULTILINGUAL SYNONYMS (term + language code):
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{chr(10).join(synonym_lines)}
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"""
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else:
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synonym_section = ""
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docstring = f"""Extract heritage-specific entities from text.
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Identify institutions, places, dates, identifiers, and relationships
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@ -556,15 +837,9 @@ def create_schema_aware_entity_docstring() -> str:
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- PLACES: Geographic locations (cities, regions, countries)
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- TEMPORAL: Dates and time periods (founding, closure, events)
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- IDENTIFIERS: ISIL codes (NL-XXXX), Wikidata IDs (Q12345), GHCIDs
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Map institution mentions to appropriate GLAMORCUBESFIXPHDNT type:
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- "museum", "musea", "museo" → MUSEUM
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- "library", "bibliotheek", "bibliothek" → LIBRARY
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- "archive", "archief", "archiv" → ARCHIVE
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- "gallery", "galerie" → GALLERY
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- "university", "universiteit" → EDUCATION_PROVIDER
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- "botanical garden", "zoo" → BIO_CUSTODIAN
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- "church", "monastery", "temple" → HOLY_SACRED_SITE
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{synonym_section}
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When extracting institution types, recognize synonyms in ANY language
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and map them to the canonical GLAMORCUBESFIXPHDNT type.
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"""
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return docstring
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@ -27,7 +27,8 @@ numpy = ">=2.0.0"
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# NOTE: NLP extraction (NER) is handled by coding subagents via Task tool
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# spaCy, transformers, torch are NOT direct dependencies
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rapidfuzz = "^3.5.0" # Fuzzy string matching for deduplication
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langdetect = "^1.0.9" # Language detection
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langdetect = "^1.0.9" # Language detection (fallback)
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fast-langdetect = "^1.0.0" # FastText-based language detection (primary, more accurate)
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unidecode = "^1.3.7" # Unicode transliteration
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# Web crawling and scraping
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@ -98,6 +99,7 @@ jupyter = "^1.0.0"
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ipykernel = "^6.27.0"
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matplotlib = "^3.8.0"
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seaborn = "^0.13.0"
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types-pyyaml = "^6.0.12.20250915"
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[tool.poetry.scripts]
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glam = "glam_extractor.cli:main"
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1
tests/rag/__init__.py
Normal file
1
tests/rag/__init__.py
Normal file
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@ -0,0 +1 @@
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# Tests for RAG pipeline components
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935
tests/rag/test_ontology_mapping.py
Normal file
935
tests/rag/test_ontology_mapping.py
Normal file
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@ -0,0 +1,935 @@
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"""
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Tests for backend.rag.ontology_mapping module.
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This module tests the dynamic ontology mapping system that loads LinkML schema
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enumerations and provides multilingual matching for the Heritage RAG pipeline.
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Coverage:
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- Enum loading and caching
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- Multilingual synonym extraction from YAML comments
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- Natural language fuzzy matching (Dutch, German, French, Spanish)
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- Singular/plural handling (bibliotheek → bibliotheken)
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- Heritage code mapping (GLAMORCUBESFIXPHDNT)
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- Cache invalidation
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- Role category keyword extraction
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"""
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from __future__ import annotations
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import os
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import tempfile
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from pathlib import Path
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from unittest.mock import patch
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||||
|
||||
import pytest
|
||||
import yaml
|
||||
|
||||
# Import module under test
|
||||
from backend.rag.ontology_mapping import (
|
||||
GLAMORCUBESFIXPHDNT_CODES,
|
||||
SCHEMA_BASE_DIR,
|
||||
EnumMapping,
|
||||
EnumValueInfo,
|
||||
OntologyMapper,
|
||||
detect_term_language,
|
||||
extract_comma_separated_terms,
|
||||
extract_wikidata_id,
|
||||
get_custodian_type_mapping,
|
||||
get_heritage_code,
|
||||
get_ontology_mapper,
|
||||
get_role_keywords,
|
||||
match_custodian_type,
|
||||
match_digital_platform_type,
|
||||
match_museum_type,
|
||||
normalize_text,
|
||||
parse_language_tag,
|
||||
reset_ontology_mapper,
|
||||
)
|
||||
|
||||
|
||||
# =============================================================================
|
||||
# Fixtures
|
||||
# =============================================================================
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def mapper() -> OntologyMapper:
|
||||
"""Create a fresh OntologyMapper instance."""
|
||||
return OntologyMapper(SCHEMA_BASE_DIR)
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def temp_enum_dir(tmp_path: Path) -> Path:
|
||||
"""Create a temporary directory with test enum files."""
|
||||
enums_dir = tmp_path / "modules" / "enums"
|
||||
enums_dir.mkdir(parents=True)
|
||||
return tmp_path
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def sample_enum_yaml() -> dict:
|
||||
"""Sample enum YAML content for testing."""
|
||||
return {
|
||||
"enums": {
|
||||
"TestEnum": {
|
||||
"description": "Test enumeration",
|
||||
"permissible_values": {
|
||||
"VALUE_ONE": {
|
||||
"description": "First test value",
|
||||
"meaning": "wikidata:Q12345",
|
||||
"comments": [
|
||||
"waarde een (nl)",
|
||||
"Wert eins (de)",
|
||||
"valeur un (fr)",
|
||||
],
|
||||
},
|
||||
"VALUE_TWO": {
|
||||
"description": "Second test value",
|
||||
"meaning": "wikidata:Q67890",
|
||||
"comments": [
|
||||
"Includes alpha, beta, gamma",
|
||||
],
|
||||
},
|
||||
"VALUE_THREE": {
|
||||
"description": "Third value with no comments",
|
||||
},
|
||||
},
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def temp_mapper(temp_enum_dir: Path, sample_enum_yaml: dict) -> OntologyMapper:
|
||||
"""Create mapper with temporary test enum file."""
|
||||
# Write sample enum file
|
||||
enum_file = temp_enum_dir / "modules" / "enums" / "TestEnum.yaml"
|
||||
with open(enum_file, "w") as f:
|
||||
yaml.dump(sample_enum_yaml, f)
|
||||
|
||||
return OntologyMapper(temp_enum_dir)
|
||||
|
||||
|
||||
# =============================================================================
|
||||
# Test: normalize_text
|
||||
# =============================================================================
|
||||
|
||||
|
||||
class TestNormalizeText:
|
||||
"""Tests for normalize_text function."""
|
||||
|
||||
def test_lowercase(self):
|
||||
"""Should convert to lowercase."""
|
||||
assert normalize_text("MUSEUM") == "museum"
|
||||
assert normalize_text("Museum") == "museum"
|
||||
|
||||
def test_strip_whitespace(self):
|
||||
"""Should strip leading/trailing whitespace."""
|
||||
assert normalize_text(" museum ") == "museum"
|
||||
assert normalize_text("\tarchive\n") == "archive"
|
||||
|
||||
def test_remove_diacritics(self):
|
||||
"""Should remove accents/diacritics."""
|
||||
assert normalize_text("Bibliothèque") == "bibliotheque"
|
||||
assert normalize_text("musée") == "musee"
|
||||
assert normalize_text("Müzeum") == "muzeum"
|
||||
assert normalize_text("café") == "cafe"
|
||||
assert normalize_text("naïve") == "naive"
|
||||
|
||||
def test_combined(self):
|
||||
"""Should handle combined normalization."""
|
||||
assert normalize_text(" Musée Virtuel ") == "musee virtuel"
|
||||
assert normalize_text("BIBLIOTHÈQUE NATIONALE") == "bibliotheque nationale"
|
||||
|
||||
|
||||
# =============================================================================
|
||||
# Test: parse_language_tag
|
||||
# =============================================================================
|
||||
|
||||
|
||||
class TestParseLanguageTag:
|
||||
"""Tests for parse_language_tag function."""
|
||||
|
||||
def test_dutch_tag(self):
|
||||
"""Should parse Dutch language tag."""
|
||||
lang, term = parse_language_tag("virtueel museum (nl)")
|
||||
assert lang == "nl"
|
||||
assert term == "virtueel museum"
|
||||
|
||||
def test_german_tag(self):
|
||||
"""Should parse German language tag."""
|
||||
lang, term = parse_language_tag("Digitales Museum (de)")
|
||||
assert lang == "de"
|
||||
assert term == "Digitales Museum"
|
||||
|
||||
def test_french_tag(self):
|
||||
"""Should parse French language tag."""
|
||||
lang, term = parse_language_tag("musée virtuel (fr)")
|
||||
assert lang == "fr"
|
||||
assert term == "musée virtuel"
|
||||
|
||||
def test_spanish_tag(self):
|
||||
"""Should parse Spanish language tag."""
|
||||
lang, term = parse_language_tag("museo virtual (es)")
|
||||
assert lang == "es"
|
||||
assert term == "museo virtual"
|
||||
|
||||
def test_no_tag(self):
|
||||
"""Should return None for lang when no tag present."""
|
||||
lang, term = parse_language_tag("Some plain comment")
|
||||
assert lang is None
|
||||
assert term == "Some plain comment"
|
||||
|
||||
def test_unsupported_language(self):
|
||||
"""Should treat unsupported language codes as no tag."""
|
||||
lang, term = parse_language_tag("text (xyz)")
|
||||
assert lang is None # xyz is not supported
|
||||
|
||||
def test_uppercase_tag(self):
|
||||
"""Should handle uppercase language tags."""
|
||||
lang, term = parse_language_tag("museum (NL)")
|
||||
assert lang == "nl"
|
||||
assert term == "museum"
|
||||
|
||||
|
||||
# =============================================================================
|
||||
# Test: extract_comma_separated_terms
|
||||
# =============================================================================
|
||||
|
||||
|
||||
class TestExtractCommaSeparatedTerms:
|
||||
"""Tests for extract_comma_separated_terms function."""
|
||||
|
||||
def test_simple_list(self):
|
||||
"""Should extract simple comma-separated terms."""
|
||||
terms = extract_comma_separated_terms("alpha, beta, gamma")
|
||||
assert "alpha" in terms
|
||||
assert "beta" in terms
|
||||
assert "gamma" in terms
|
||||
|
||||
def test_includes_prefix(self):
|
||||
"""Should strip 'Includes' prefix."""
|
||||
terms = extract_comma_separated_terms("Includes bibliotheken, bibliotecas, bibliothèques")
|
||||
assert "bibliotheken" in terms
|
||||
assert "bibliotecas" in terms
|
||||
assert "bibliothèques" in terms
|
||||
assert "Includes" not in " ".join(terms)
|
||||
|
||||
def test_examples_prefix(self):
|
||||
"""Should strip 'Examples:' prefix."""
|
||||
terms = extract_comma_separated_terms("Examples: museum, archive, library")
|
||||
assert "museum" in terms
|
||||
assert "archive" in terms
|
||||
assert "library" in terms
|
||||
|
||||
def test_no_commas(self):
|
||||
"""Should return empty list for single term."""
|
||||
terms = extract_comma_separated_terms("Just a single comment")
|
||||
assert terms == []
|
||||
|
||||
def test_skip_long_sentences(self):
|
||||
"""Should skip terms that look like sentences (> 50 chars)."""
|
||||
long_term = "This is a very long sentence that should be skipped because it exceeds fifty characters"
|
||||
terms = extract_comma_separated_terms(f"short term, {long_term}")
|
||||
assert "short term" in terms
|
||||
assert long_term not in terms
|
||||
|
||||
def test_strip_wikidata_references(self):
|
||||
"""Should strip trailing Wikidata references."""
|
||||
terms = extract_comma_separated_terms("botanical gardens (Q473972), zoos")
|
||||
assert "botanical gardens" in terms
|
||||
assert "zoos" in terms
|
||||
assert "(Q473972)" not in " ".join(terms)
|
||||
|
||||
|
||||
# =============================================================================
|
||||
# Test: extract_wikidata_id
|
||||
# =============================================================================
|
||||
|
||||
|
||||
class TestExtractWikidataId:
|
||||
"""Tests for extract_wikidata_id function."""
|
||||
|
||||
def test_wikidata_prefix(self):
|
||||
"""Should extract ID with wikidata: prefix."""
|
||||
assert extract_wikidata_id("wikidata:Q12345") == "Q12345"
|
||||
assert extract_wikidata_id("wikidata:Q1225034") == "Q1225034"
|
||||
|
||||
def test_full_uri(self):
|
||||
"""Should extract ID from full Wikidata URI."""
|
||||
assert extract_wikidata_id("http://www.wikidata.org/entity/Q12345") == "Q12345"
|
||||
assert extract_wikidata_id("https://www.wikidata.org/wiki/Q67890") == "Q67890"
|
||||
|
||||
def test_none_input(self):
|
||||
"""Should handle None input."""
|
||||
assert extract_wikidata_id(None) is None
|
||||
|
||||
def test_invalid_format(self):
|
||||
"""Should return None for invalid format."""
|
||||
assert extract_wikidata_id("not a wikidata id") is None
|
||||
assert extract_wikidata_id("schema:Thing") is None
|
||||
|
||||
|
||||
# =============================================================================
|
||||
# Test: EnumValueInfo
|
||||
# =============================================================================
|
||||
|
||||
|
||||
class TestEnumValueInfo:
|
||||
"""Tests for EnumValueInfo dataclass."""
|
||||
|
||||
def test_basic_creation(self):
|
||||
"""Should create with minimal fields."""
|
||||
info = EnumValueInfo(name="TEST_VALUE")
|
||||
assert info.name == "TEST_VALUE"
|
||||
assert info.description is None
|
||||
assert info.wikidata_id is None
|
||||
assert info.synonyms == {}
|
||||
assert info.all_synonyms_normalized == []
|
||||
|
||||
def test_full_creation(self):
|
||||
"""Should create with all fields."""
|
||||
info = EnumValueInfo(
|
||||
name="MUSEUM",
|
||||
description="A museum institution",
|
||||
wikidata_id="Q33506",
|
||||
synonyms={"nl": ["museum", "musea"], "de": ["Museum"]},
|
||||
all_synonyms_normalized=["museum", "musea"],
|
||||
)
|
||||
assert info.name == "MUSEUM"
|
||||
assert info.description == "A museum institution"
|
||||
assert info.wikidata_id == "Q33506"
|
||||
assert "nl" in info.synonyms
|
||||
assert "museum" in info.all_synonyms_normalized
|
||||
|
||||
|
||||
# =============================================================================
|
||||
# Test: OntologyMapper - Enum Loading
|
||||
# =============================================================================
|
||||
|
||||
|
||||
class TestOntologyMapperLoading:
|
||||
"""Tests for OntologyMapper enum loading."""
|
||||
|
||||
def test_load_enum_from_temp_file(self, temp_mapper: OntologyMapper):
|
||||
"""Should load enum from temporary test file."""
|
||||
mapping = temp_mapper.load_enum("TestEnum")
|
||||
assert mapping is not None
|
||||
assert mapping.enum_name == "TestEnum"
|
||||
assert len(mapping.values) == 3
|
||||
assert "VALUE_ONE" in mapping.values
|
||||
assert "VALUE_TWO" in mapping.values
|
||||
assert "VALUE_THREE" in mapping.values
|
||||
|
||||
def test_load_nonexistent_enum(self, temp_mapper: OntologyMapper):
|
||||
"""Should return None for non-existent enum."""
|
||||
mapping = temp_mapper.load_enum("NonExistentEnum")
|
||||
assert mapping is None
|
||||
|
||||
def test_extract_wikidata_from_meaning(self, temp_mapper: OntologyMapper):
|
||||
"""Should extract Wikidata ID from meaning field."""
|
||||
mapping = temp_mapper.load_enum("TestEnum")
|
||||
assert mapping is not None
|
||||
value_one = mapping.values.get("VALUE_ONE")
|
||||
assert value_one is not None
|
||||
assert value_one.wikidata_id == "Q12345"
|
||||
|
||||
def test_extract_synonyms_from_comments(self, temp_mapper: OntologyMapper):
|
||||
"""Should extract language-tagged synonyms from comments."""
|
||||
mapping = temp_mapper.load_enum("TestEnum")
|
||||
assert mapping is not None
|
||||
value_one = mapping.values.get("VALUE_ONE")
|
||||
assert value_one is not None
|
||||
# Check language-specific synonyms
|
||||
assert "nl" in value_one.synonyms
|
||||
assert "waarde een" in value_one.synonyms["nl"]
|
||||
assert "de" in value_one.synonyms
|
||||
assert "Wert eins" in value_one.synonyms["de"]
|
||||
|
||||
def test_extract_comma_separated_from_comments(self, temp_mapper: OntologyMapper):
|
||||
"""Should extract comma-separated terms from comments."""
|
||||
mapping = temp_mapper.load_enum("TestEnum")
|
||||
assert mapping is not None
|
||||
value_two = mapping.values.get("VALUE_TWO")
|
||||
assert value_two is not None
|
||||
# Comma-separated terms should be in all_synonyms_normalized
|
||||
assert "alpha" in value_two.all_synonyms_normalized
|
||||
assert "beta" in value_two.all_synonyms_normalized
|
||||
assert "gamma" in value_two.all_synonyms_normalized
|
||||
|
||||
def test_load_real_custodian_type_enum(self, mapper: OntologyMapper):
|
||||
"""Should load real CustodianPrimaryTypeEnum from schema."""
|
||||
mapping = mapper.load_enum("CustodianPrimaryTypeEnum")
|
||||
assert mapping is not None
|
||||
assert len(mapping.values) >= 19 # GLAMORCUBESFIXPHDNT has 19 types
|
||||
assert "MUSEUM" in mapping.values
|
||||
assert "LIBRARY" in mapping.values
|
||||
assert "ARCHIVE" in mapping.values
|
||||
|
||||
def test_load_real_digital_platform_enum(self, mapper: OntologyMapper):
|
||||
"""Should load real DigitalPlatformTypeEnum from schema."""
|
||||
mapping = mapper.load_enum("DigitalPlatformTypeEnum")
|
||||
assert mapping is not None
|
||||
assert len(mapping.values) >= 50 # Should have many platform types
|
||||
assert "VIRTUAL_MUSEUM" in mapping.values
|
||||
|
||||
def test_load_all_enums(self, mapper: OntologyMapper):
|
||||
"""Should load all enum files from schema directory."""
|
||||
all_enums = mapper.load_all_enums()
|
||||
assert len(all_enums) >= 10 # Should have many enums
|
||||
# Check some expected enums
|
||||
enum_names = list(all_enums.keys())
|
||||
assert "CustodianPrimaryTypeEnum" in enum_names
|
||||
assert "DigitalPlatformTypeEnum" in enum_names
|
||||
|
||||
|
||||
# =============================================================================
|
||||
# Test: OntologyMapper - Natural Language Matching
|
||||
# =============================================================================
|
||||
|
||||
|
||||
class TestOntologyMapperMatching:
|
||||
"""Tests for OntologyMapper natural language matching."""
|
||||
|
||||
def test_exact_match(self, temp_mapper: OntologyMapper):
|
||||
"""Should match exact normalized text."""
|
||||
result = temp_mapper.match_natural_language("value one", "TestEnum")
|
||||
assert result == "VALUE_ONE"
|
||||
|
||||
def test_dutch_synonym_match(self, temp_mapper: OntologyMapper):
|
||||
"""Should match Dutch synonym from comments."""
|
||||
result = temp_mapper.match_natural_language("waarde een", "TestEnum")
|
||||
assert result == "VALUE_ONE"
|
||||
|
||||
def test_german_synonym_match(self, temp_mapper: OntologyMapper):
|
||||
"""Should match German synonym from comments."""
|
||||
result = temp_mapper.match_natural_language("Wert eins", "TestEnum")
|
||||
assert result == "VALUE_ONE"
|
||||
|
||||
def test_comma_term_match(self, temp_mapper: OntologyMapper):
|
||||
"""Should match comma-separated term."""
|
||||
result = temp_mapper.match_natural_language("alpha", "TestEnum")
|
||||
assert result == "VALUE_TWO"
|
||||
|
||||
def test_no_match(self, temp_mapper: OntologyMapper):
|
||||
"""Should return None when no match found."""
|
||||
result = temp_mapper.match_natural_language("xyz nonexistent", "TestEnum")
|
||||
assert result is None
|
||||
|
||||
def test_real_dutch_bibliotheek(self, mapper: OntologyMapper):
|
||||
"""Should match Dutch 'bibliotheek' to LIBRARY."""
|
||||
result = mapper.match_natural_language("bibliotheek", "CustodianPrimaryTypeEnum")
|
||||
assert result == "LIBRARY"
|
||||
|
||||
def test_real_dutch_bibliotheken(self, mapper: OntologyMapper):
|
||||
"""Should match Dutch plural 'bibliotheken' to LIBRARY (fuzzy)."""
|
||||
result = mapper.match_natural_language("bibliotheken", "CustodianPrimaryTypeEnum")
|
||||
assert result == "LIBRARY"
|
||||
|
||||
def test_real_dutch_archief(self, mapper: OntologyMapper):
|
||||
"""Should match Dutch 'archief' to ARCHIVE."""
|
||||
result = mapper.match_natural_language("archief", "CustodianPrimaryTypeEnum")
|
||||
assert result == "ARCHIVE"
|
||||
|
||||
def test_real_dutch_virtueel_museum(self, mapper: OntologyMapper):
|
||||
"""Should match Dutch 'virtueel museum' to VIRTUAL_MUSEUM."""
|
||||
result = mapper.match_natural_language("virtueel museum", "DigitalPlatformTypeEnum")
|
||||
assert result == "VIRTUAL_MUSEUM"
|
||||
|
||||
def test_real_german_digitales_museum(self, mapper: OntologyMapper):
|
||||
"""Should match German 'Digitales Museum' to VIRTUAL_MUSEUM."""
|
||||
result = mapper.match_natural_language("Digitales Museum", "DigitalPlatformTypeEnum")
|
||||
assert result == "VIRTUAL_MUSEUM"
|
||||
|
||||
def test_real_spanish_museo_virtual(self, mapper: OntologyMapper):
|
||||
"""Should match Spanish 'museo virtual' to VIRTUAL_MUSEUM."""
|
||||
result = mapper.match_natural_language("museo virtual", "DigitalPlatformTypeEnum")
|
||||
assert result == "VIRTUAL_MUSEUM"
|
||||
|
||||
def test_case_insensitive(self, mapper: OntologyMapper):
|
||||
"""Should be case insensitive."""
|
||||
result1 = mapper.match_natural_language("MUSEUM", "CustodianPrimaryTypeEnum")
|
||||
result2 = mapper.match_natural_language("museum", "CustodianPrimaryTypeEnum")
|
||||
result3 = mapper.match_natural_language("Museum", "CustodianPrimaryTypeEnum")
|
||||
assert result1 == result2 == result3 == "MUSEUM"
|
||||
|
||||
|
||||
# =============================================================================
|
||||
# Test: OntologyMapper - Heritage Code Mapping
|
||||
# =============================================================================
|
||||
|
||||
|
||||
class TestOntologyMapperHeritageCodes:
|
||||
"""Tests for heritage code mapping."""
|
||||
|
||||
def test_museum_code(self, mapper: OntologyMapper):
|
||||
"""Should map MUSEUM to M."""
|
||||
assert mapper.get_heritage_type_code("MUSEUM") == "M"
|
||||
|
||||
def test_library_code(self, mapper: OntologyMapper):
|
||||
"""Should map LIBRARY to L."""
|
||||
assert mapper.get_heritage_type_code("LIBRARY") == "L"
|
||||
|
||||
def test_archive_code(self, mapper: OntologyMapper):
|
||||
"""Should map ARCHIVE to A."""
|
||||
assert mapper.get_heritage_type_code("ARCHIVE") == "A"
|
||||
|
||||
def test_gallery_code(self, mapper: OntologyMapper):
|
||||
"""Should map GALLERY to G."""
|
||||
assert mapper.get_heritage_type_code("GALLERY") == "G"
|
||||
|
||||
def test_unknown_code(self, mapper: OntologyMapper):
|
||||
"""Should return None for unknown type."""
|
||||
assert mapper.get_heritage_type_code("UNKNOWN_TYPE") is None
|
||||
|
||||
def test_get_full_mapping(self, mapper: OntologyMapper):
|
||||
"""Should return complete type-to-code mapping."""
|
||||
mapping = mapper.get_custodian_type_to_code_mapping()
|
||||
assert len(mapping) == 19 # GLAMORCUBESFIXPHDNT has 19 types
|
||||
assert mapping["MUSEUM"] == "M"
|
||||
assert mapping["LIBRARY"] == "L"
|
||||
assert mapping["ARCHIVE"] == "A"
|
||||
assert mapping["GALLERY"] == "G"
|
||||
# Check all expected codes are present
|
||||
expected_codes = set("GLAMORCUBESFIXPHDNT")
|
||||
actual_codes = set(mapping.values())
|
||||
assert actual_codes == expected_codes
|
||||
|
||||
|
||||
# =============================================================================
|
||||
# Test: OntologyMapper - Caching
|
||||
# =============================================================================
|
||||
|
||||
|
||||
class TestOntologyMapperCaching:
|
||||
"""Tests for caching behavior."""
|
||||
|
||||
def test_enum_is_cached(self, mapper: OntologyMapper):
|
||||
"""Should cache enum after first load."""
|
||||
# First load
|
||||
mapping1 = mapper.load_enum("CustodianPrimaryTypeEnum")
|
||||
assert mapping1 is not None
|
||||
assert "CustodianPrimaryTypeEnum" in mapper._cache
|
||||
|
||||
# Second load should return cached version
|
||||
mapping2 = mapper.load_enum("CustodianPrimaryTypeEnum")
|
||||
assert mapping1 is mapping2 # Same object
|
||||
|
||||
def test_force_reload(self, mapper: OntologyMapper):
|
||||
"""Should reload when force_reload=True."""
|
||||
# First load
|
||||
mapping1 = mapper.load_enum("CustodianPrimaryTypeEnum")
|
||||
|
||||
# Force reload
|
||||
mapping2 = mapper.load_enum("CustodianPrimaryTypeEnum", force_reload=True)
|
||||
|
||||
# Should be different objects
|
||||
assert mapping1 is not mapping2
|
||||
|
||||
def test_clear_cache(self, mapper: OntologyMapper):
|
||||
"""Should clear all cached enums."""
|
||||
# Load some enums
|
||||
mapper.load_enum("CustodianPrimaryTypeEnum")
|
||||
mapper.load_enum("DigitalPlatformTypeEnum")
|
||||
assert len(mapper._cache) >= 2
|
||||
|
||||
# Clear cache
|
||||
mapper.clear_cache()
|
||||
assert len(mapper._cache) == 0
|
||||
assert len(mapper._file_mtimes) == 0
|
||||
|
||||
|
||||
# =============================================================================
|
||||
# Test: Convenience Functions
|
||||
# =============================================================================
|
||||
|
||||
|
||||
class TestConvenienceFunctions:
|
||||
"""Tests for module-level convenience functions."""
|
||||
|
||||
@pytest.fixture(autouse=True)
|
||||
def reset_singleton(self):
|
||||
"""Reset singleton before each test."""
|
||||
reset_ontology_mapper()
|
||||
yield
|
||||
reset_ontology_mapper()
|
||||
|
||||
def test_match_custodian_type(self):
|
||||
"""Should match custodian type via convenience function."""
|
||||
assert match_custodian_type("museum") == "MUSEUM"
|
||||
assert match_custodian_type("bibliotheek") == "LIBRARY"
|
||||
assert match_custodian_type("archief") == "ARCHIVE"
|
||||
|
||||
def test_match_digital_platform_type(self):
|
||||
"""Should match digital platform type via convenience function."""
|
||||
assert match_digital_platform_type("virtueel museum") == "VIRTUAL_MUSEUM"
|
||||
|
||||
def test_match_museum_type(self):
|
||||
"""Should match museum type via convenience function."""
|
||||
# This tests against MuseumTypeEnum
|
||||
result = match_museum_type("art museum")
|
||||
# Result depends on what's in MuseumTypeEnum
|
||||
assert result is None or isinstance(result, str)
|
||||
|
||||
def test_get_heritage_code(self):
|
||||
"""Should get heritage code via convenience function."""
|
||||
assert get_heritage_code("MUSEUM") == "M"
|
||||
assert get_heritage_code("LIBRARY") == "L"
|
||||
assert get_heritage_code("ARCHIVE") == "A"
|
||||
|
||||
def test_get_custodian_type_mapping(self):
|
||||
"""Should get full mapping via convenience function."""
|
||||
mapping = get_custodian_type_mapping()
|
||||
assert len(mapping) == 19
|
||||
assert mapping["MUSEUM"] == "M"
|
||||
|
||||
def test_get_ontology_mapper_singleton(self):
|
||||
"""Should return singleton instance."""
|
||||
mapper1 = get_ontology_mapper()
|
||||
mapper2 = get_ontology_mapper()
|
||||
assert mapper1 is mapper2
|
||||
|
||||
|
||||
# =============================================================================
|
||||
# Test: Role Category Keywords
|
||||
# =============================================================================
|
||||
|
||||
|
||||
class TestRoleCategoryKeywords:
|
||||
"""Tests for role category keyword extraction."""
|
||||
|
||||
def test_get_role_keywords(self, mapper: OntologyMapper):
|
||||
"""Should extract role category keywords."""
|
||||
keywords = mapper.get_role_category_keywords()
|
||||
# May return empty dict if StaffRole.yaml doesn't exist
|
||||
assert isinstance(keywords, dict)
|
||||
|
||||
def test_get_role_keywords_convenience(self):
|
||||
"""Should work via convenience function."""
|
||||
reset_ontology_mapper()
|
||||
keywords = get_role_keywords()
|
||||
assert isinstance(keywords, dict)
|
||||
|
||||
|
||||
# =============================================================================
|
||||
# Test: Prompt Formatting
|
||||
# =============================================================================
|
||||
|
||||
|
||||
class TestPromptFormatting:
|
||||
"""Tests for DSPy prompt formatting."""
|
||||
|
||||
def test_get_enum_values_for_prompt(self, mapper: OntologyMapper):
|
||||
"""Should format enum values for prompt injection."""
|
||||
prompt = mapper.get_enum_values_for_prompt("CustodianPrimaryTypeEnum", max_values=5)
|
||||
assert "Valid values for CustodianPrimaryTypeEnum:" in prompt
|
||||
assert "MUSEUM" in prompt or "LIBRARY" in prompt # At least some values
|
||||
assert "... and" in prompt # Should indicate more values exist
|
||||
|
||||
def test_get_valid_filter_values(self, mapper: OntologyMapper):
|
||||
"""Should return list of valid filter values."""
|
||||
values = mapper.get_valid_filter_values("CustodianPrimaryTypeEnum")
|
||||
assert isinstance(values, list)
|
||||
assert len(values) >= 19
|
||||
assert "MUSEUM" in values
|
||||
assert "LIBRARY" in values
|
||||
|
||||
|
||||
# =============================================================================
|
||||
# Test: GLAMORCUBESFIXPHDNT Codes Constant
|
||||
# =============================================================================
|
||||
|
||||
|
||||
class TestGLAMORCUBESFIXPHDNTCodes:
|
||||
"""Tests for GLAMORCUBESFIXPHDNT_CODES constant."""
|
||||
|
||||
def test_all_codes_present(self):
|
||||
"""Should have all 19 codes in mnemonic."""
|
||||
expected = "GLAMORCUBESFIXPHDNT"
|
||||
actual_codes = set(GLAMORCUBESFIXPHDNT_CODES.values())
|
||||
assert actual_codes == set(expected)
|
||||
|
||||
def test_all_codes_single_letter(self):
|
||||
"""All codes should be single letters."""
|
||||
for type_name, code in GLAMORCUBESFIXPHDNT_CODES.items():
|
||||
assert len(code) == 1, f"{type_name} has non-single-letter code: {code}"
|
||||
assert code.isalpha(), f"{type_name} has non-letter code: {code}"
|
||||
assert code.isupper(), f"{type_name} has non-uppercase code: {code}"
|
||||
|
||||
def test_code_count(self):
|
||||
"""Should have exactly 19 type-to-code mappings."""
|
||||
assert len(GLAMORCUBESFIXPHDNT_CODES) == 19
|
||||
|
||||
|
||||
# =============================================================================
|
||||
# Test: Similarity Function
|
||||
# =============================================================================
|
||||
|
||||
|
||||
class TestSimilarityFunction:
|
||||
"""Tests for _simple_similarity method."""
|
||||
|
||||
def test_exact_match(self, mapper: OntologyMapper):
|
||||
"""Exact match should return 1.0."""
|
||||
score = mapper._simple_similarity("museum", "museum")
|
||||
assert score == 1.0
|
||||
|
||||
def test_prefix_match(self, mapper: OntologyMapper):
|
||||
"""Prefix match should return high score."""
|
||||
# bibliotheek → bibliotheken (Dutch singular/plural)
|
||||
score = mapper._simple_similarity("bibliotheek", "bibliotheken")
|
||||
assert score >= 0.9
|
||||
|
||||
def test_stem_match(self, mapper: OntologyMapper):
|
||||
"""Shared stem should return good score."""
|
||||
# archief → archieven
|
||||
score = mapper._simple_similarity("archief", "archieven")
|
||||
assert score >= 0.85
|
||||
|
||||
def test_no_similarity(self, mapper: OntologyMapper):
|
||||
"""Completely different strings should return low score."""
|
||||
score = mapper._simple_similarity("museum", "xyz")
|
||||
assert score < 0.5
|
||||
|
||||
def test_empty_string(self, mapper: OntologyMapper):
|
||||
"""Empty strings should return 0.0."""
|
||||
assert mapper._simple_similarity("", "museum") == 0.0
|
||||
assert mapper._simple_similarity("museum", "") == 0.0
|
||||
assert mapper._simple_similarity("", "") == 0.0
|
||||
|
||||
|
||||
# =============================================================================
|
||||
# Test: Integration with hybrid_retriever
|
||||
# =============================================================================
|
||||
|
||||
|
||||
class TestHybridRetrieverIntegration:
|
||||
"""Tests verifying integration with hybrid_retriever.py."""
|
||||
|
||||
@pytest.fixture(autouse=True)
|
||||
def reset(self):
|
||||
"""Reset singleton before each test."""
|
||||
reset_ontology_mapper()
|
||||
yield
|
||||
|
||||
def test_mapping_has_expected_format(self):
|
||||
"""Mapping should match expected format for hybrid_retriever."""
|
||||
mapping = get_custodian_type_mapping()
|
||||
|
||||
# All keys should be uppercase enum values
|
||||
for key in mapping:
|
||||
assert key.isupper() or key == key.upper().replace("_", "_")
|
||||
|
||||
# All values should be single uppercase letters
|
||||
for value in mapping.values():
|
||||
assert len(value) == 1
|
||||
assert value.isupper()
|
||||
|
||||
def test_heritage_code_returns_none_for_invalid(self):
|
||||
"""get_heritage_code should return None for invalid types."""
|
||||
assert get_heritage_code("INVALID_TYPE") is None
|
||||
assert get_heritage_code("") is None
|
||||
|
||||
def test_consistent_with_hardcoded_values(self):
|
||||
"""Dynamic mapping should match expected hardcoded values."""
|
||||
mapping = get_custodian_type_mapping()
|
||||
|
||||
# These are the critical mappings that hybrid_retriever depends on
|
||||
expected = {
|
||||
"GALLERY": "G",
|
||||
"LIBRARY": "L",
|
||||
"ARCHIVE": "A",
|
||||
"MUSEUM": "M",
|
||||
"OFFICIAL_INSTITUTION": "O",
|
||||
"RESEARCH_CENTER": "R",
|
||||
"DIGITAL_PLATFORM": "D",
|
||||
}
|
||||
|
||||
for enum_val, code in expected.items():
|
||||
assert mapping.get(enum_val) == code, f"Mismatch for {enum_val}"
|
||||
|
||||
|
||||
# =============================================================================
|
||||
# Test: Edge Cases
|
||||
# =============================================================================
|
||||
|
||||
|
||||
class TestEdgeCases:
|
||||
"""Tests for edge cases and error handling."""
|
||||
|
||||
def test_match_empty_string(self, mapper: OntologyMapper):
|
||||
"""Should handle empty string input."""
|
||||
result = mapper.match_natural_language("", "CustodianPrimaryTypeEnum")
|
||||
assert result is None
|
||||
|
||||
def test_match_whitespace_only(self, mapper: OntologyMapper):
|
||||
"""Should handle whitespace-only input."""
|
||||
result = mapper.match_natural_language(" ", "CustodianPrimaryTypeEnum")
|
||||
assert result is None
|
||||
|
||||
def test_match_nonexistent_enum(self, mapper: OntologyMapper):
|
||||
"""Should return None for non-existent enum."""
|
||||
result = mapper.match_natural_language("museum", "NonExistentEnum")
|
||||
assert result is None
|
||||
|
||||
def test_load_malformed_yaml(self, temp_enum_dir: Path):
|
||||
"""Should handle malformed YAML gracefully."""
|
||||
enum_file = temp_enum_dir / "modules" / "enums" / "BrokenEnum.yaml"
|
||||
with open(enum_file, "w") as f:
|
||||
f.write("this is not: valid: yaml: content:")
|
||||
|
||||
mapper = OntologyMapper(temp_enum_dir)
|
||||
result = mapper.load_enum("BrokenEnum")
|
||||
assert result is None
|
||||
|
||||
def test_unicode_normalization(self, mapper: OntologyMapper):
|
||||
"""Should handle various unicode representations."""
|
||||
# e with combining acute accent vs precomposed é
|
||||
result1 = mapper.match_natural_language("musée", "CustodianPrimaryTypeEnum") # precomposed
|
||||
result2 = mapper.match_natural_language("musée", "CustodianPrimaryTypeEnum") # combining
|
||||
# Both should normalize to "musee" and potentially match
|
||||
assert result1 == result2
|
||||
|
||||
|
||||
# =============================================================================
|
||||
# Test: Language Detection
|
||||
# =============================================================================
|
||||
|
||||
|
||||
class TestDetectTermLanguage:
|
||||
"""Tests for the detect_term_language function.
|
||||
|
||||
This function uses a hybrid approach:
|
||||
1. Heritage-specific vocabulary for known heritage terms (highest priority)
|
||||
2. fast-langdetect library for general language detection (with confidence threshold)
|
||||
3. English default for multi-word phrases without clear indicators
|
||||
|
||||
The heritage vocabulary focuses on terms that general-purpose language
|
||||
detectors often misclassify (e.g., "musea" as Italian instead of Dutch).
|
||||
"""
|
||||
|
||||
def test_detect_dutch_museum_terms(self):
|
||||
"""Dutch museum-related terms in heritage vocabulary should be 'nl'."""
|
||||
# "musea" is in heritage vocabulary - fast-langdetect often misclassifies it
|
||||
assert detect_term_language("musea") == "nl"
|
||||
# "museum" is generic - depends on fast-langdetect (en/nl/de all valid)
|
||||
result = detect_term_language("museum")
|
||||
assert result in ("nl", "de", "en") # Accept any valid detection
|
||||
|
||||
def test_detect_dutch_library_terms(self):
|
||||
"""Dutch library terms should be detected as 'nl'."""
|
||||
assert detect_term_language("bibliotheken") == "nl"
|
||||
assert detect_term_language("bibliotheek") == "nl"
|
||||
# Multi-word terms without English indicators default to heritage vocab match
|
||||
assert detect_term_language("openbare bibliotheek") in ("nl", "en")
|
||||
|
||||
def test_detect_dutch_archive_terms(self):
|
||||
"""Dutch archive terms should be detected as 'nl'."""
|
||||
assert detect_term_language("archieven") == "nl"
|
||||
assert detect_term_language("archief") == "nl"
|
||||
# "nationaal" triggers heritage vocab match for Dutch
|
||||
assert detect_term_language("nationaal archief") in ("nl", "en") # "national" may trigger English
|
||||
# Compound terms use prefix matching
|
||||
assert detect_term_language("gemeentearchief") in ("nl", None)
|
||||
|
||||
def test_detect_french_terms(self):
|
||||
"""French heritage terms with diacritics should be detected as 'fr'."""
|
||||
# Terms with diacritics are reliably detected by fast-langdetect
|
||||
assert detect_term_language("musées") == "fr"
|
||||
assert detect_term_language("musée") == "fr"
|
||||
assert detect_term_language("bibliothèques") == "fr"
|
||||
assert detect_term_language("bibliothèque") == "fr"
|
||||
# "archives" without diacritics is ambiguous (French/English)
|
||||
result = detect_term_language("archives")
|
||||
assert result in ("fr", "en")
|
||||
# Diacritics provide clear French signal
|
||||
result = detect_term_language("société historique")
|
||||
assert result in ("fr", "en") # "historique" detected by fast-langdetect
|
||||
|
||||
def test_detect_spanish_terms(self):
|
||||
"""Spanish heritage terms should be detected as 'es'."""
|
||||
# "museos" is in heritage vocabulary
|
||||
result = detect_term_language("museos")
|
||||
assert result in ("es", None) # May not match if not in reduced vocab
|
||||
# "bibliotecas" and "archivos" are in heritage vocabulary
|
||||
assert detect_term_language("bibliotecas") in ("es", "pt") # Shared term
|
||||
assert detect_term_language("archivos") == "es"
|
||||
|
||||
def test_detect_german_terms(self):
|
||||
"""German heritage terms should be detected as 'de'."""
|
||||
assert detect_term_language("museen") == "de"
|
||||
# "bibliothek" may match Dutch vocabulary first due to prefix matching
|
||||
result = detect_term_language("bibliothek")
|
||||
assert result in ("de", "nl") # Both have similar terms
|
||||
assert detect_term_language("archiv") == "de"
|
||||
assert detect_term_language("sammlung") == "de"
|
||||
|
||||
def test_detect_english_terms(self):
|
||||
"""English heritage terms should be detected as 'en'."""
|
||||
assert detect_term_language("museums") == "en"
|
||||
assert detect_term_language("libraries") == "en"
|
||||
assert detect_term_language("gallery") == "en"
|
||||
assert detect_term_language("national library") == "en"
|
||||
assert detect_term_language("public archives") == "en"
|
||||
|
||||
def test_detect_italian_terms(self):
|
||||
"""Italian heritage terms should be detected as 'it'."""
|
||||
assert detect_term_language("musei") == "it"
|
||||
assert detect_term_language("biblioteche") == "it"
|
||||
assert detect_term_language("archivi") == "it"
|
||||
|
||||
def test_detect_portuguese_terms(self):
|
||||
"""Portuguese heritage terms should be detected as 'pt'."""
|
||||
assert detect_term_language("museus") == "pt"
|
||||
assert detect_term_language("bibliotecas") in ("pt", "es") # Shared term
|
||||
assert detect_term_language("arquivos") == "pt"
|
||||
|
||||
def test_unknown_term_returns_none(self):
|
||||
"""Unknown single-word terms should return None."""
|
||||
assert detect_term_language("xyz123") is None
|
||||
assert detect_term_language("asdfghjkl") is None
|
||||
|
||||
def test_empty_string_defaults_to_english(self):
|
||||
"""Empty string should return English as default."""
|
||||
assert detect_term_language("") == "en"
|
||||
|
||||
def test_whitespace_only_defaults_to_english(self):
|
||||
"""Whitespace-only input should return English as default."""
|
||||
assert detect_term_language(" ") == "en"
|
||||
|
||||
def test_case_insensitive_detection(self):
|
||||
"""Detection should be case-insensitive."""
|
||||
assert detect_term_language("MUSEA") == "nl"
|
||||
assert detect_term_language("Musées") == "fr"
|
||||
# "MUSEOS" relies on fast-langdetect after heritage vocab check
|
||||
result = detect_term_language("MUSEOS")
|
||||
assert result in ("es", None)
|
||||
assert detect_term_language("Libraries") == "en"
|
||||
|
||||
def test_compound_dutch_terms(self):
|
||||
"""Compound Dutch terms should be detected via heritage vocabulary or prefix matching."""
|
||||
# "rijks" is in heritage vocabulary as prefix
|
||||
assert detect_term_language("rijksmuseum") in ("nl", None)
|
||||
# "gemeente" matches via prefix with "gemeentelijk"
|
||||
assert detect_term_language("gemeentearchief") in ("nl", None)
|
||||
|
||||
def test_priority_when_ambiguous(self):
|
||||
"""Heritage vocabulary takes precedence for known terms.
|
||||
|
||||
When a term is in heritage vocabulary, that language is returned.
|
||||
For terms not in vocabulary, fast-langdetect determines the result.
|
||||
"""
|
||||
# "archiv" is in German heritage vocabulary
|
||||
assert detect_term_language("archiv") == "de"
|
||||
|
||||
# "museum" is not in heritage vocabulary (too ambiguous)
|
||||
# fast-langdetect will classify it
|
||||
result = detect_term_language("museum")
|
||||
assert result in ("nl", "de", "en")
|
||||
|
||||
# "musea" is specifically in Dutch heritage vocabulary
|
||||
assert detect_term_language("musea") == "nl"
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
pytest.main([__file__, "-v"])
|
||||
Loading…
Reference in a new issue