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basic-memory

search_service.py12.8 kB
"""Service for search operations.""" import ast from datetime import datetime from typing import List, Optional, Set from dateparser import parse from fastapi import BackgroundTasks from loguru import logger from sqlalchemy import text from basic_memory.models import Entity from basic_memory.repository import EntityRepository from basic_memory.repository.search_repository import SearchRepository, SearchIndexRow from basic_memory.schemas.search import SearchQuery, SearchItemType from basic_memory.services import FileService class SearchService: """Service for search operations. Supports three primary search modes: 1. Exact permalink lookup 2. Pattern matching with * (e.g., 'specs/*') 3. Full-text search across title/content """ def __init__( self, search_repository: SearchRepository, entity_repository: EntityRepository, file_service: FileService, ): self.repository = search_repository self.entity_repository = entity_repository self.file_service = file_service async def init_search_index(self): """Create FTS5 virtual table if it doesn't exist.""" await self.repository.init_search_index() async def reindex_all(self, background_tasks: Optional[BackgroundTasks] = None) -> None: """Reindex all content from database.""" logger.info("Starting full reindex") # Clear and recreate search index await self.repository.execute_query(text("DROP TABLE IF EXISTS search_index"), params={}) await self.init_search_index() # Reindex all entities logger.debug("Indexing entities") entities = await self.entity_repository.find_all() for entity in entities: await self.index_entity(entity, background_tasks) logger.info("Reindex complete") async def search(self, query: SearchQuery, limit=10, offset=0) -> List[SearchIndexRow]: """Search across all indexed content. Supports three modes: 1. Exact permalink: finds direct matches for a specific path 2. Pattern match: handles * wildcards in paths 3. Text search: full-text search across title/content """ if query.no_criteria(): logger.debug("no criteria passed to query") return [] logger.trace(f"Searching with query: {query}") after_date = ( ( query.after_date if isinstance(query.after_date, datetime) else parse(query.after_date) ) if query.after_date else None ) # search results = await self.repository.search( search_text=query.text, permalink=query.permalink, permalink_match=query.permalink_match, title=query.title, types=query.types, search_item_types=query.entity_types, after_date=after_date, limit=limit, offset=offset, ) return results @staticmethod def _generate_variants(text: str) -> Set[str]: """Generate text variants for better fuzzy matching. Creates variations of the text to improve match chances: - Original form - Lowercase form - Path segments (for permalinks) - Common word boundaries """ variants = {text, text.lower()} # Add path segments if "/" in text: variants.update(p.strip() for p in text.split("/") if p.strip()) # Add word boundaries variants.update(w.strip() for w in text.lower().split() if w.strip()) # Add trigrams for fuzzy matching variants.update(text[i : i + 3].lower() for i in range(len(text) - 2)) return variants def _extract_entity_tags(self, entity: Entity) -> List[str]: """Extract tags from entity metadata for search indexing. Handles multiple tag formats: - List format: ["tag1", "tag2"] - String format: "['tag1', 'tag2']" or "[tag1, tag2]" - Empty: [] or "[]" Returns a list of tag strings for search indexing. """ if not entity.entity_metadata or "tags" not in entity.entity_metadata: return [] tags = entity.entity_metadata["tags"] # Handle list format (preferred) if isinstance(tags, list): return [str(tag) for tag in tags if tag] # Handle string format (legacy) if isinstance(tags, str): try: # Parse string representation of list parsed_tags = ast.literal_eval(tags) if isinstance(parsed_tags, list): return [str(tag) for tag in parsed_tags if tag] except (ValueError, SyntaxError): # If parsing fails, treat as single tag return [tags] if tags.strip() else [] return [] # pragma: no cover async def index_entity( self, entity: Entity, background_tasks: Optional[BackgroundTasks] = None, ) -> None: if background_tasks: background_tasks.add_task(self.index_entity_data, entity) else: await self.index_entity_data(entity) async def index_entity_data( self, entity: Entity, ) -> None: # delete all search index data associated with entity await self.repository.delete_by_entity_id(entity_id=entity.id) # reindex await self.index_entity_markdown( entity ) if entity.is_markdown else await self.index_entity_file(entity) async def index_entity_file( self, entity: Entity, ) -> None: # Index entity file with no content await self.repository.index_item( SearchIndexRow( id=entity.id, entity_id=entity.id, type=SearchItemType.ENTITY.value, title=entity.title, file_path=entity.file_path, metadata={ "entity_type": entity.entity_type, }, created_at=entity.created_at, updated_at=entity.updated_at, project_id=entity.project_id, ) ) async def index_entity_markdown( self, entity: Entity, ) -> None: """Index an entity and all its observations and relations. Indexing structure: 1. Entities - permalink: direct from entity (e.g., "specs/search") - file_path: physical file location - project_id: project context for isolation 2. Observations - permalink: entity permalink + /observations/id (e.g., "specs/search/observations/123") - file_path: parent entity's file (where observation is defined) - project_id: inherited from parent entity 3. Relations (only index outgoing relations defined in this file) - permalink: from_entity/relation_type/to_entity (e.g., "specs/search/implements/features/search-ui") - file_path: source entity's file (where relation is defined) - project_id: inherited from source entity Each type gets its own row in the search index with appropriate metadata. The project_id is automatically added by the repository when indexing. """ content_stems = [] content_snippet = "" title_variants = self._generate_variants(entity.title) content_stems.extend(title_variants) content = await self.file_service.read_entity_content(entity) if content: content_stems.append(content) content_snippet = f"{content[:250]}" if entity.permalink: content_stems.extend(self._generate_variants(entity.permalink)) content_stems.extend(self._generate_variants(entity.file_path)) # Add entity tags from frontmatter to search content entity_tags = self._extract_entity_tags(entity) if entity_tags: content_stems.extend(entity_tags) entity_content_stems = "\n".join(p for p in content_stems if p and p.strip()) # Index entity await self.repository.index_item( SearchIndexRow( id=entity.id, type=SearchItemType.ENTITY.value, title=entity.title, content_stems=entity_content_stems, content_snippet=content_snippet, permalink=entity.permalink, file_path=entity.file_path, entity_id=entity.id, metadata={ "entity_type": entity.entity_type, }, created_at=entity.created_at, updated_at=entity.updated_at, project_id=entity.project_id, ) ) # Index each observation with permalink for obs in entity.observations: # Index with parent entity's file path since that's where it's defined obs_content_stems = "\n".join( p for p in self._generate_variants(obs.content) if p and p.strip() ) await self.repository.index_item( SearchIndexRow( id=obs.id, type=SearchItemType.OBSERVATION.value, title=f"{obs.category}: {obs.content[:100]}...", content_stems=obs_content_stems, content_snippet=obs.content, permalink=obs.permalink, file_path=entity.file_path, category=obs.category, entity_id=entity.id, metadata={ "tags": obs.tags, }, created_at=entity.created_at, updated_at=entity.updated_at, project_id=entity.project_id, ) ) # Only index outgoing relations (ones defined in this file) for rel in entity.outgoing_relations: # Create descriptive title showing the relationship relation_title = ( f"{rel.from_entity.title} → {rel.to_entity.title}" if rel.to_entity else f"{rel.from_entity.title}" ) rel_content_stems = "\n".join( p for p in self._generate_variants(relation_title) if p and p.strip() ) await self.repository.index_item( SearchIndexRow( id=rel.id, title=relation_title, permalink=rel.permalink, content_stems=rel_content_stems, file_path=entity.file_path, type=SearchItemType.RELATION.value, entity_id=entity.id, from_id=rel.from_id, to_id=rel.to_id, relation_type=rel.relation_type, created_at=entity.created_at, updated_at=entity.updated_at, project_id=entity.project_id, ) ) async def delete_by_permalink(self, permalink: str): """Delete an item from the search index.""" await self.repository.delete_by_permalink(permalink) async def delete_by_entity_id(self, entity_id: int): """Delete an item from the search index.""" await self.repository.delete_by_entity_id(entity_id) async def handle_delete(self, entity: Entity): """Handle complete entity deletion from search index including observations and relations. This replicates the logic from sync_service.handle_delete() to properly clean up all search index entries for an entity and its related data. """ logger.debug( f"Cleaning up search index for entity_id={entity.id}, file_path={entity.file_path}, " f"observations={len(entity.observations)}, relations={len(entity.outgoing_relations)}" ) # Clean up search index - same logic as sync_service.handle_delete() permalinks = ( [entity.permalink] + [o.permalink for o in entity.observations] + [r.permalink for r in entity.outgoing_relations] ) logger.debug( f"Deleting search index entries for entity_id={entity.id}, " f"index_entries={len(permalinks)}" ) for permalink in permalinks: if permalink: await self.delete_by_permalink(permalink) else: await self.delete_by_entity_id(entity.id)

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