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)
This commit is contained in:
kempersc 2025-12-14 15:55:18 +01:00
parent 41aace785f
commit d1c9aebd84
6 changed files with 3728 additions and 45 deletions

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@ -85,6 +85,21 @@ class ClassDefinition:
narrow_mappings: list[str] = field(default_factory=list) narrow_mappings: list[str] = field(default_factory=list)
@dataclass
class StaffRoleDefinition:
"""A staff role class definition from LinkML schema.
Represents an official job title/appellation in heritage institutions,
categorized by role family (CURATORIAL, ARCHIVAL, DIGITAL, etc.).
"""
name: str
category: str # CURATORIAL, ARCHIVAL, DIGITAL, etc.
description: Optional[str] = None
class_uri: Optional[str] = None
common_variants: list[str] = field(default_factory=list)
wikidata_mapping: Optional[str] = None # e.g., wikidata:Q674426
@dataclass @dataclass
class HeritageSchema: class HeritageSchema:
"""Complete parsed heritage custodian schema.""" """Complete parsed heritage custodian schema."""
@ -109,6 +124,12 @@ class HeritageSchema:
# Custodian types (from CustodianPrimaryTypeEnum) # Custodian types (from CustodianPrimaryTypeEnum)
custodian_types: list[EnumValue] = field(default_factory=list) custodian_types: list[EnumValue] = field(default_factory=list)
# Staff roles organized by category (from StaffRoles.yaml)
staff_roles: dict[str, list[StaffRoleDefinition]] = field(default_factory=dict)
# Role categories (from RoleCategoryEnum in StaffRole.yaml)
role_categories: list[EnumValue] = field(default_factory=list)
def get_sparql_prefixes(self) -> str: def get_sparql_prefixes(self) -> str:
"""Generate SPARQL prefix declarations from schema prefixes.""" """Generate SPARQL prefix declarations from schema prefixes."""
lines = [] lines = []
@ -120,6 +141,24 @@ class HeritageSchema:
"""Get list of custodian type enum values.""" """Get list of custodian type enum values."""
return [v.name for v in self.custodian_types] return [v.name for v in self.custodian_types]
def get_staff_role_names(self) -> list[str]:
"""Get flat list of all staff role class names."""
roles = []
for category_roles in self.staff_roles.values():
roles.extend([r.name for r in category_roles])
return sorted(roles)
def get_staff_role_category_names(self) -> list[str]:
"""Get list of staff role category names."""
return [v.name for v in self.role_categories]
def get_staff_roles_by_category(self) -> dict[str, list[str]]:
"""Get staff role names organized by category."""
return {
category: [r.name for r in roles]
for category, roles in self.staff_roles.items()
}
def get_class_description(self, class_name: str) -> Optional[str]: def get_class_description(self, class_name: str) -> Optional[str]:
"""Get description for a class.""" """Get description for a class."""
cls = self.classes.get(class_name) cls = self.classes.get(class_name)
@ -154,6 +193,28 @@ class HeritageSchema:
lines.append(f" - {uri}: {desc}") lines.append(f" - {uri}: {desc}")
return "\n".join(lines) return "\n".join(lines)
def format_staff_role_categories_for_prompt(self) -> str:
"""Format staff role categories for DSPy prompt injection."""
lines = ["Staff Role Categories (13 categories):"]
for rc in self.role_categories:
desc = rc.description[:60] if rc.description else rc.name
lines.append(f" - {rc.name}: {desc}")
return "\n".join(lines)
def format_staff_roles_for_prompt(self, max_per_category: int = 5) -> str:
"""Format staff roles for DSPy prompt injection.
Args:
max_per_category: Maximum roles to show per category (for brevity)
"""
lines = ["Staff Roles by Category:"]
for category, roles in sorted(self.staff_roles.items()):
role_names = [r.name for r in roles[:max_per_category]]
if len(roles) > max_per_category:
role_names.append(f"... +{len(roles) - max_per_category} more")
lines.append(f" - {category}: {', '.join(role_names)}")
return "\n".join(lines)
def format_ontology_context_for_prompt(self) -> str: def format_ontology_context_for_prompt(self) -> str:
"""Format complete ontology context for DSPy prompts.""" """Format complete ontology context for DSPy prompts."""
sections = [ sections = [
@ -173,9 +234,19 @@ class HeritageSchema:
"", "",
self.format_key_properties_for_prompt(), self.format_key_properties_for_prompt(),
"", "",
"Key Ontology Prefixes:",
] ]
# Add staff roles if loaded
if self.role_categories:
sections.extend([
self.format_staff_role_categories_for_prompt(),
"",
self.format_staff_roles_for_prompt(),
"",
])
sections.append("Key Ontology Prefixes:")
for prefix, info in list(self.prefixes.items())[:12]: # Top 12 prefixes for prefix, info in list(self.prefixes.items())[:12]: # Top 12 prefixes
sections.append(f" PREFIX {prefix}: <{info.uri}>") sections.append(f" PREFIX {prefix}: <{info.uri}>")
@ -261,9 +332,22 @@ class SchemaLoader:
# Load key slots # Load key slots
schema.slots = self._load_key_slots() schema.slots = self._load_key_slots()
# Load staff role categories (RoleCategoryEnum)
schema.role_categories = self._load_role_categories()
schema.enums["RoleCategoryEnum"] = EnumDefinition(
name="RoleCategoryEnum",
description="Staff Role Categories",
values=schema.role_categories,
)
# Load staff roles organized by category
schema.staff_roles = self._load_staff_roles()
self._schema = schema self._schema = schema
logger.info(f"Loaded schema with {len(schema.classes)} classes, " logger.info(f"Loaded schema with {len(schema.classes)} classes, "
f"{len(schema.slots)} slots, {len(schema.custodian_types)} custodian types") f"{len(schema.slots)} slots, {len(schema.custodian_types)} custodian types, "
f"{len(schema.role_categories)} role categories, "
f"{sum(len(r) for r in schema.staff_roles.values())} staff roles")
return schema return schema
@ -433,6 +517,104 @@ class SchemaLoader:
logger.warning(f"Could not load slot from {filepath}: {e}") logger.warning(f"Could not load slot from {filepath}: {e}")
return slots return slots
def _load_role_categories(self) -> list[EnumValue]:
"""Load RoleCategoryEnum values from StaffRole.yaml."""
enum_path = self.schema_dir / "modules" / "classes" / "StaffRole.yaml"
if not enum_path.exists():
logger.warning(f"StaffRole.yaml not found: {enum_path}")
return []
try:
with open(enum_path, "r", encoding="utf-8") as f:
staff_role_yaml = yaml.safe_load(f)
values = []
enum_def = staff_role_yaml.get("enums", {}).get("RoleCategoryEnum", {})
permissible_values = enum_def.get("permissible_values", {})
for name, info in permissible_values.items():
values.append(EnumValue(
name=name,
description=info.get("description") if info else None,
))
logger.debug(f"Loaded {len(values)} role categories")
return values
except Exception as e:
logger.warning(f"Could not load role categories: {e}")
return []
def _load_staff_roles(self) -> dict[str, list[StaffRoleDefinition]]:
"""Load staff role classes organized by category from StaffRoles.yaml.
Parses the slot_usage.role_category.ifabsent pattern to determine category.
Example: ifabsent: "string(CURATORIAL)" -> category = "CURATORIAL"
Returns:
Dictionary mapping category name to list of StaffRoleDefinition
"""
import re
roles_path = self.schema_dir / "modules" / "classes" / "StaffRoles.yaml"
if not roles_path.exists():
logger.warning(f"StaffRoles.yaml not found: {roles_path}")
return {}
try:
with open(roles_path, "r", encoding="utf-8") as f:
roles_yaml = yaml.safe_load(f)
roles_by_category: dict[str, list[StaffRoleDefinition]] = {}
class_defs = roles_yaml.get("classes", {})
# Regex to extract category from ifabsent: "string(CURATORIAL)"
ifabsent_pattern = re.compile(r'string\((\w+)\)')
for class_name, class_info in class_defs.items():
if not class_info:
continue
# Extract category from slot_usage.role_category.ifabsent
category = "UNKNOWN"
slot_usage = class_info.get("slot_usage", {})
role_category = slot_usage.get("role_category", {})
ifabsent = role_category.get("ifabsent", "")
match = ifabsent_pattern.search(ifabsent)
if match:
category = match.group(1)
# Extract wikidata mapping from exact_mappings
wikidata_mapping = None
exact_mappings = class_info.get("exact_mappings", [])
for mapping in exact_mappings:
if mapping.startswith("wikidata:"):
wikidata_mapping = mapping
break
# Create role definition
role_def = StaffRoleDefinition(
name=class_name,
category=category,
description=class_info.get("description"),
class_uri=class_info.get("class_uri"),
wikidata_mapping=wikidata_mapping,
)
# Add to category
if category not in roles_by_category:
roles_by_category[category] = []
roles_by_category[category].append(role_def)
total_roles = sum(len(r) for r in roles_by_category.values())
logger.debug(f"Loaded {total_roles} staff roles across {len(roles_by_category)} categories")
return roles_by_category
except Exception as e:
logger.warning(f"Could not load staff roles: {e}")
return {}
# Singleton instance for easy access # Singleton instance for easy access
@ -480,6 +662,45 @@ def get_key_properties_prompt() -> str:
return get_heritage_schema().format_key_properties_for_prompt() return get_heritage_schema().format_key_properties_for_prompt()
# Staff Role Convenience Functions
def get_staff_role_categories() -> list[str]:
"""Get list of staff role category names (13 categories).
Returns:
List of role category names like ['CURATORIAL', 'ARCHIVAL', 'DIGITAL', ...]
"""
return get_heritage_schema().get_staff_role_category_names()
def get_all_staff_roles() -> list[str]:
"""Get flat list of all staff role class names (64 roles).
Returns:
List of role names like ['Curator', 'Archivist', 'DataEngineer', ...]
"""
return get_heritage_schema().get_staff_role_names()
def get_staff_role_classes() -> dict[str, list[str]]:
"""Get staff role names organized by category.
Returns:
Dictionary mapping category to list of role names.
Example: {'CURATORIAL': ['Curator', 'CollectionsManager'], ...}
"""
return get_heritage_schema().get_staff_roles_by_category()
def get_staff_roles_prompt() -> str:
"""Get formatted staff roles for DSPy prompts."""
return get_heritage_schema().format_staff_roles_for_prompt()
def get_staff_role_categories_prompt() -> str:
"""Get formatted staff role categories for DSPy prompts."""
return get_heritage_schema().format_staff_role_categories_for_prompt()
# ============================================================================= # =============================================================================
# Schema-Aware Signature Helpers # Schema-Aware Signature Helpers
# ============================================================================= # =============================================================================
@ -534,7 +755,11 @@ def create_schema_aware_sparql_docstring() -> str:
def create_schema_aware_entity_docstring() -> str: def create_schema_aware_entity_docstring() -> str:
"""Create docstring for entity extractor with schema-derived types.""" """Create docstring for entity extractor with schema-derived types.
Includes multilingual synonyms with language tags when ontology_mapping
module is available, enabling better entity recognition across languages.
"""
schema = get_heritage_schema() schema = get_heritage_schema()
type_lines = [] type_lines = []
@ -543,6 +768,62 @@ def create_schema_aware_entity_docstring() -> str:
desc = ct.description.split("(")[0].strip() if ct.description else ct.name desc = ct.description.split("(")[0].strip() if ct.description else ct.name
type_lines.append(f" - {ct.name}: {desc}") type_lines.append(f" - {ct.name}: {desc}")
# Build multilingual synonym section with language tags
synonym_lines = []
try:
# Import dynamically to avoid circular imports
from backend.rag.ontology_mapping import get_ontology_mapper
mapper = get_ontology_mapper()
# Key types to include synonyms for
key_types = [
"MUSEUM", "LIBRARY", "ARCHIVE", "GALLERY", "RESEARCH_CENTER",
"EDUCATION_PROVIDER", "HOLY_SACRED_SITE", "BIO_CUSTODIAN",
]
for custodian_type in key_types:
by_lang = mapper.get_all_synonyms_by_language(
custodian_type, "CustodianPrimaryTypeEnum"
)
tagged_syns: list[str] = []
# Sort languages for consistent output
for lang in sorted(by_lang.keys()):
if lang == "all": # Skip the aggregate 'all' key
continue
syns = by_lang[lang]
# Take up to 2 synonyms per language
for syn in sorted(syns)[:2]:
tagged_syns.append(f"{syn} ({lang})")
if tagged_syns:
# Limit to 6 total synonyms per type for brevity
synonym_lines.append(f" - {custodian_type}: {', '.join(tagged_syns[:6])}")
logger.debug(f"Built multilingual synonyms for {len(synonym_lines)} types")
except ImportError:
logger.warning("ontology_mapping not available, using static synonyms")
# Fallback to static synonyms without language tags
synonym_lines = [
' - MUSEUM: "museum", "musea", "museo", "musée"',
' - LIBRARY: "library", "bibliotheek", "bibliothèque"',
' - ARCHIVE: "archive", "archief", "archiv"',
' - GALLERY: "gallery", "galerie"',
]
except Exception as e:
logger.warning(f"Could not build multilingual synonyms: {e}")
synonym_lines = []
# Format synonym section
if synonym_lines:
synonym_section = f"""
MULTILINGUAL SYNONYMS (term + language code):
{chr(10).join(synonym_lines)}
"""
else:
synonym_section = ""
docstring = f"""Extract heritage-specific entities from text. docstring = f"""Extract heritage-specific entities from text.
Identify institutions, places, dates, identifiers, and relationships Identify institutions, places, dates, identifiers, and relationships
@ -556,15 +837,9 @@ def create_schema_aware_entity_docstring() -> str:
- PLACES: Geographic locations (cities, regions, countries) - PLACES: Geographic locations (cities, regions, countries)
- TEMPORAL: Dates and time periods (founding, closure, events) - TEMPORAL: Dates and time periods (founding, closure, events)
- IDENTIFIERS: ISIL codes (NL-XXXX), Wikidata IDs (Q12345), GHCIDs - IDENTIFIERS: ISIL codes (NL-XXXX), Wikidata IDs (Q12345), GHCIDs
{synonym_section}
Map institution mentions to appropriate GLAMORCUBESFIXPHDNT type: When extracting institution types, recognize synonyms in ANY language
- "museum", "musea", "museo" MUSEUM and map them to the canonical GLAMORCUBESFIXPHDNT type.
- "library", "bibliotheek", "bibliothek" LIBRARY
- "archive", "archief", "archiv" ARCHIVE
- "gallery", "galerie" GALLERY
- "university", "universiteit" EDUCATION_PROVIDER
- "botanical garden", "zoo" BIO_CUSTODIAN
- "church", "monastery", "temple" HOLY_SACRED_SITE
""" """
return docstring return docstring

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@ -27,7 +27,8 @@ numpy = ">=2.0.0"
# NOTE: NLP extraction (NER) is handled by coding subagents via Task tool # NOTE: NLP extraction (NER) is handled by coding subagents via Task tool
# spaCy, transformers, torch are NOT direct dependencies # spaCy, transformers, torch are NOT direct dependencies
rapidfuzz = "^3.5.0" # Fuzzy string matching for deduplication rapidfuzz = "^3.5.0" # Fuzzy string matching for deduplication
langdetect = "^1.0.9" # Language detection langdetect = "^1.0.9" # Language detection (fallback)
fast-langdetect = "^1.0.0" # FastText-based language detection (primary, more accurate)
unidecode = "^1.3.7" # Unicode transliteration unidecode = "^1.3.7" # Unicode transliteration
# Web crawling and scraping # Web crawling and scraping
@ -98,6 +99,7 @@ jupyter = "^1.0.0"
ipykernel = "^6.27.0" ipykernel = "^6.27.0"
matplotlib = "^3.8.0" matplotlib = "^3.8.0"
seaborn = "^0.13.0" seaborn = "^0.13.0"
types-pyyaml = "^6.0.12.20250915"
[tool.poetry.scripts] [tool.poetry.scripts]
glam = "glam_extractor.cli:main" glam = "glam_extractor.cli:main"

1
tests/rag/__init__.py Normal file
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@ -0,0 +1 @@
# Tests for RAG pipeline components

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@ -0,0 +1,935 @@
"""
Tests for backend.rag.ontology_mapping module.
This module tests the dynamic ontology mapping system that loads LinkML schema
enumerations and provides multilingual matching for the Heritage RAG pipeline.
Coverage:
- Enum loading and caching
- Multilingual synonym extraction from YAML comments
- Natural language fuzzy matching (Dutch, German, French, Spanish)
- Singular/plural handling (bibliotheek bibliotheken)
- Heritage code mapping (GLAMORCUBESFIXPHDNT)
- Cache invalidation
- Role category keyword extraction
"""
from __future__ import annotations
import os
import tempfile
from pathlib import Path
from unittest.mock import patch
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"])