"""Metadata cache for indicators and cube mappings.""" import asyncio import os import re import unicodedata from datetime import datetime, timedelta from typing import Any from .api_client import CubeJsClient, get_client from .cube_resolver import CubeResolver, get_resolver from .models import IndicatorMetadata, IndicatorListItem _TOKEN_RE = re.compile(r"[a-z0-9]+") def fold_text(text: str | None) -> str: """Lowercase, accent-insensitive form (Émissions → emissions).""" text = unicodedata.normalize("NFKD", text or "") return "".join(ch for ch in text if not unicodedata.combining(ch)).lower() def _stem(token: str) -> str: """Minimal French stem: drop plural marks (s / x).""" if len(token) > 3 and token[-1] in "sx": return token[:-1] return token def search_tokens(text: str | None) -> list[str]: """Tokens of a text, folded and stemmed (used for both queries and indicators).""" return [_stem(t) for t in _TOKEN_RE.findall(fold_text(text)) if len(t) >= 2] class IndicatorCache: """Cache for indicator metadata and cube resolution. This cache stores indicator metadata loaded at startup and periodically refreshes to pick up new indicators. It also initializes the CubeResolver for mapping indicator IDs to data cubes. """ def __init__( self, refresh_interval_seconds: int | None = None, ): """Initialize the cache. Args: refresh_interval_seconds: How often to refresh the cache. Defaults to CACHE_REFRESH_SECONDS env var or 3600 (1 hour). """ self.refresh_interval = timedelta( seconds=refresh_interval_seconds or int(os.getenv("CACHE_REFRESH_SECONDS", "3600")) ) # Indicator metadata by ID self._indicators: dict[int, IndicatorMetadata] = {} # Reference to the cube resolver self._resolver: CubeResolver = get_resolver() # Last refresh timestamp self._last_refresh: datetime | None = None # Lock for thread-safe refresh self._refresh_lock = asyncio.Lock() # Flag to indicate if initial load is complete self._initialized = False @property def is_initialized(self) -> bool: """Check if the cache has been initialized.""" return self._initialized @property def needs_refresh(self) -> bool: """Check if the cache needs to be refreshed.""" if not self._initialized or self._last_refresh is None: return True return datetime.now() - self._last_refresh > self.refresh_interval @property def indicators(self) -> dict[int, IndicatorMetadata]: """Get all cached indicators.""" return self._indicators.copy() @property def resolver(self) -> CubeResolver: """Get the cube resolver instance.""" return self._resolver async def initialize(self, client: CubeJsClient | None = None) -> None: """Initialize the cache with data from the API. This should be called at application startup. Args: client: Optional CubeJsClient instance. If not provided, uses the singleton instance. """ if client is None: client = get_client() await self.refresh(client) async def refresh(self, client: CubeJsClient | None = None) -> None: """Refresh the cache from the API. Args: client: Optional CubeJsClient instance. """ async with self._refresh_lock: if client is None: client = get_client() # Load indicator metadata await self._load_indicators(client) # Load and parse /meta for cube resolution await self._load_cube_metadata(client) self._last_refresh = datetime.now() self._initialized = True async def _load_indicators(self, client: CubeJsClient) -> None: """Load all indicator metadata from the API.""" # Note: Some dimensions listed in /meta may not exist in actual data # Only include dimensions that have been validated to work dimensions = [ "indicateur_metadata.id", "indicateur_metadata.libelle", "indicateur_metadata.unite", "indicateur_metadata.description", "indicateur_metadata.methode_calcul", "indicateur_metadata.annees_disponibles", "indicateur_metadata.mailles_disponibles", "indicateur_metadata.maille_mini_disponible", "indicateur_metadata.couverture_geographique", "indicateur_metadata.completion_region", "indicateur_metadata.completion_departement", "indicateur_metadata.completion_epci", "indicateur_metadata.completion_commune", "indicateur_metadata.thematique_fnv", # Note: secteur_fnv, enjeux_fnv, levier_fnv cause errors despite being in schema ] data = await client.load_indicators_metadata( dimensions=dimensions, limit=1000, # Should be enough for all indicators ) self._indicators.clear() for row in data: try: indicator = IndicatorMetadata.from_api_response(row) self._indicators[indicator.id] = indicator except Exception as e: # Log but don't fail on individual indicator parsing errors print(f"Warning: Failed to parse indicator: {e}") async def _load_cube_metadata(self, client: CubeJsClient) -> None: """Load cube metadata from /meta and initialize the resolver.""" meta = await client.get_meta() self._resolver.load_from_meta(meta) def get_indicator(self, indicator_id: int) -> IndicatorMetadata | None: """Get indicator metadata by ID. Args: indicator_id: The indicator ID. Returns: The indicator metadata, or None if not found. """ return self._indicators.get(indicator_id) def get_cube_name(self, indicator_id: int, maille: str) -> str | None: """Get the data cube name for an indicator at a specific maille. Args: indicator_id: The indicator ID. maille: The geographic level. Returns: The cube name, or None if not found. """ return self._resolver.find_cube_for_indicator(indicator_id, maille) def list_indicators( self, thematique: str | None = None, maille: str | None = None, ) -> list[IndicatorListItem]: """List indicators with optional filtering. Args: thematique: Filter by thematique_fnv (case-insensitive partial match). maille: Filter by available geographic level. Returns: List of matching indicators. """ results = [] for indicator in self._indicators.values(): # Apply thematique filter if thematique: if not indicator.thematique_fnv: continue if fold_text(thematique) not in fold_text(indicator.thematique_fnv): continue # Apply maille filter if maille: if not indicator.has_geographic_level(maille): continue results.append( IndicatorListItem( id=indicator.id, libelle=indicator.libelle, unite=indicator.unite, mailles_disponibles=indicator.mailles_disponibles, thematique_fnv=indicator.thematique_fnv, ) ) # Sort by ID for consistent ordering results.sort(key=lambda x: x.id) return results def search_indicators(self, query: str) -> list[IndicatorListItem]: """Search indicators by keywords. Accent- and case-insensitive, plural-insensitive, prefix-tolerant (« emission » matches « Émissions »). A word matching in the libelle weighs more than one matching in the description or thematic. All words must match somewhere (AND); results are sorted by score, then by ID. Args: query: Search query string. Returns: List of matching indicators, best first. """ words = search_tokens(query) if not words: return self.list_indicators() def has(tokens: list[str], word: str) -> bool: return any(t == word or (len(word) >= 5 and t.startswith(word)) for t in tokens) scored: list[tuple[int, IndicatorListItem]] = [] for indicator in self._indicators.values(): libelle_tokens = search_tokens(indicator.libelle) other_tokens = search_tokens( " ".join(filter(None, [indicator.description, indicator.thematique_fnv])) ) score = 0 for word in words: if has(libelle_tokens, word): score += 3 elif has(other_tokens, word): score += 1 else: score = 0 break if score: scored.append( ( score, IndicatorListItem( id=indicator.id, libelle=indicator.libelle, unite=indicator.unite, mailles_disponibles=indicator.mailles_disponibles, thematique_fnv=indicator.thematique_fnv, ), ) ) scored.sort(key=lambda x: (-x[0], x[1].id)) return [item for _, item in scored] # Singleton cache instance _cache_instance: IndicatorCache | None = None def get_cache() -> IndicatorCache: """Get or create the singleton IndicatorCache instance. Returns: The shared IndicatorCache instance. """ global _cache_instance if _cache_instance is None: _cache_instance = IndicatorCache() return _cache_instance async def initialize_cache(client: CubeJsClient | None = None) -> IndicatorCache: """Initialize the singleton cache. This should be called at application startup. Args: client: Optional CubeJsClient instance. Returns: The initialized cache. """ cache = get_cache() if not cache.is_initialized: await cache.initialize(client) return cache async def refresh_cache_if_needed(client: CubeJsClient | None = None) -> None: """Refresh the cache if it's stale. Args: client: Optional CubeJsClient instance. """ cache = get_cache() if cache.needs_refresh: await cache.refresh(client)