diff --git a/README.md b/README.md index cf0424fe2..16cc5ebeb 100644 --- a/README.md +++ b/README.md @@ -75,6 +75,7 @@ Open source and easy to deploy locally. - Airtable - Google Calendar - Luma +- Elasticsearch - and more to come..... ## 📄 **Supported File Extensions** diff --git a/surfsense_backend/alembic/versions/26_add_elasticsearch_connector_enums.py b/surfsense_backend/alembic/versions/26_add_elasticsearch_connector_enums.py new file mode 100644 index 000000000..82f8abdae --- /dev/null +++ b/surfsense_backend/alembic/versions/26_add_elasticsearch_connector_enums.py @@ -0,0 +1,56 @@ +"""Add ElasticSearch connector enums + +Revision ID: 26 +Revises: 25 +Create Date: 2025-10-12 12:00:00.000000 + +""" + +from collections.abc import Sequence + +from alembic import op + +# revision identifiers +revision: str = "26" +down_revision: str | None = "25" +branch_labels: str | Sequence[str] | None = None +depends_on: str | Sequence[str] | None = None + + +def upgrade() -> None: + # Add enum values + op.execute( + """ + DO $$ + BEGIN + IF NOT EXISTS ( + SELECT 1 FROM pg_type t + JOIN pg_enum e ON t.oid = e.enumtypid + WHERE t.typname = 'searchsourceconnectortype' AND e.enumlabel = 'ELASTICSEARCH_CONNECTOR' + ) THEN + ALTER TYPE searchsourceconnectortype ADD VALUE 'ELASTICSEARCH_CONNECTOR'; + END IF; + END + $$; + """ + ) + op.execute( + """ + DO $$ + BEGIN + IF NOT EXISTS ( + SELECT 1 FROM pg_type t + JOIN pg_enum e ON t.oid = e.enumtypid + WHERE t.typname = 'documenttype' AND e.enumlabel = 'ELASTICSEARCH_CONNECTOR' + ) THEN + ALTER TYPE documenttype ADD VALUE 'ELASTICSEARCH_CONNECTOR'; + END IF; + END + $$; + """ + ) + + +def downgrade() -> None: + """Remove 'ELASTICSEARCH_CONNECTOR' from enum types.""" + pass diff --git a/surfsense_backend/app/agents/researcher/nodes.py b/surfsense_backend/app/agents/researcher/nodes.py index 0835fb861..c1ad4890f 100644 --- a/surfsense_backend/app/agents/researcher/nodes.py +++ b/surfsense_backend/app/agents/researcher/nodes.py @@ -488,6 +488,25 @@ async def fetch_documents_by_ids( ) url = metadata.get("url", "") + elif doc_type == "ELASTICSEARCH_CONNECTOR": + # Prefer explicit title in metadata/source, otherwise fallback to doc.title + es_title = ( + metadata.get("title") + or metadata.get("es_title") + or doc.title + or f"Elasticsearch: {metadata.get('elasticsearch_index', '')}" + ) + title = es_title + description = metadata.get("description") or ( + doc.content[:100] + "..." + if len(doc.content) > 100 + else doc.content + ) + # If a link or index info is stored, surface it + url = metadata.get("url", "") or metadata.get( + "elasticsearch_index", "" + ) + else: # FILE and other types title = doc.title description = ( @@ -512,6 +531,7 @@ async def fetch_documents_by_ids( "SLACK_CONNECTOR": "Slack (Selected)", "NOTION_CONNECTOR": "Notion (Selected)", "GITHUB_CONNECTOR": "GitHub (Selected)", + "ELASTICSEARCH_CONNECTOR": "Elasticsearch (Selected)", "YOUTUBE_VIDEO": "YouTube Videos (Selected)", "DISCORD_CONNECTOR": "Discord (Selected)", "JIRA_CONNECTOR": "Jira Issues (Selected)", @@ -1266,6 +1286,33 @@ async def fetch_relevant_documents( } ) + elif connector == "ELASTICSEARCH_CONNECTOR": + ( + source_object, + elasticsearch_chunks, + ) = await connector_service.search_elasticsearch( + user_query=reformulated_query, + user_id=user_id, + search_space_id=search_space_id, + top_k=top_k, + search_mode=search_mode, + ) + + # Add to sources and raw documents + if source_object: + all_sources.append(source_object) + all_raw_documents.extend(elasticsearch_chunks) + + # Stream found document count + if streaming_service and writer: + writer( + { + "yield_value": streaming_service.format_terminal_info_delta( + f"🔎 Found {len(elasticsearch_chunks)} Elasticsearch chunks related to your query" + ) + } + ) + except Exception as e: logging.error("Error in search_airtable: %s", traceback.format_exc()) error_message = f"Error searching connector {connector}: {e!s}" diff --git a/surfsense_backend/app/agents/researcher/utils.py b/surfsense_backend/app/agents/researcher/utils.py index a21aeb8ca..c5f05da58 100644 --- a/surfsense_backend/app/agents/researcher/utils.py +++ b/surfsense_backend/app/agents/researcher/utils.py @@ -51,6 +51,7 @@ def get_connector_emoji(connector_name: str) -> str: "GOOGLE_CALENDAR_CONNECTOR": "📅", "AIRTABLE_CONNECTOR": "🗃️", "LUMA_CONNECTOR": "✨", + "ELASTICSEARCH_CONNECTOR": "🔎", } return connector_emojis.get(connector_name, "🔎") @@ -74,6 +75,7 @@ def get_connector_friendly_name(connector_name: str) -> str: "LINKUP_API": "Linkup Search", "AIRTABLE_CONNECTOR": "Airtable", "LUMA_CONNECTOR": "Luma", + "ELASTICSEARCH_CONNECTOR": "Elasticsearch", } return connector_friendly_names.get(connector_name, connector_name) diff --git a/surfsense_backend/app/connectors/elasticsearch_connector.py b/surfsense_backend/app/connectors/elasticsearch_connector.py new file mode 100644 index 000000000..af5e30608 --- /dev/null +++ b/surfsense_backend/app/connectors/elasticsearch_connector.py @@ -0,0 +1,254 @@ +""" +Elasticsearch connector for SurfSense +""" + +import logging +from typing import Any + +from elasticsearch import AsyncElasticsearch +from elasticsearch.exceptions import ( + AuthenticationException, + ConnectionError, + NotFoundError, +) + +logger = logging.getLogger(__name__) + + +class ElasticsearchConnector: + """ + Connector for Elasticsearch instances + """ + + def __init__( + self, + url: str, + api_key: str | None = None, + username: str | None = None, + password: str | None = None, + verify_certs: bool = True, + ca_certs: str | None = None, + ): + """ + Initialize Elasticsearch connector + + Args: + url: Full Elasticsearch URL (e.g., https://host:port or cloud endpoint) + api_key: API key for authentication (preferred method) + username: Username for basic authentication + password: Password for basic authentication + verify_certs: Whether to verify SSL certificates + ca_certs: Path to CA certificates file + """ + self.url = url + self.api_key = api_key + self.username = username + self.password = password + self.verify_certs = verify_certs + self.ca_certs = ca_certs + + # Build connection configuration + self.es_config = self._build_config() + + # Initialize Elasticsearch client + try: + self.client = AsyncElasticsearch(**self.es_config) + except Exception as e: + logger.error(f"Failed to initialize Elasticsearch client: {e}") + raise + + def _build_config(self) -> dict[str, Any]: + """Build Elasticsearch client configuration""" + config = { + "hosts": [self.url], + "verify_certs": self.verify_certs, + "request_timeout": 30, + "max_retries": 3, + "retry_on_timeout": True, + } + + # Authentication - API key takes precedence + if self.api_key: + config["api_key"] = self.api_key + elif self.username and self.password: + config["basic_auth"] = (self.username, self.password) + + # SSL configuration + if self.ca_certs: + config["ca_certs"] = self.ca_certs + + return config + + async def search( + self, + index: str | list[str], + query: dict[str, Any], + size: int = 100, + from_: int = 0, + fields: list[str] | None = None, + sort: list[dict[str, Any]] | None = None, + ) -> dict[str, Any]: + """ + Search documents in Elasticsearch + + Args: + index: Elasticsearch index name or list of indices + query: Elasticsearch query DSL + size: Number of results to return + from_: Starting offset for pagination + fields: List of fields to include in response + sort: Sort configuration + + Returns: + Elasticsearch search response + """ + try: + search_body: dict[str, Any] = { + "query": query, + "size": size, + "from": from_, + } + + if fields: + search_body["_source"] = fields + + if sort: + search_body["sort"] = sort + + response = await self.client.search(index=index, body=search_body) + + logger.info( + f"Successfully searched index '{index}', found {response['hits']['total']['value']} results" + ) + return response + + except NotFoundError: + logger.error(f"Index '{index}' not found") + raise + except AuthenticationException: + logger.error("Authentication failed") + raise + except ConnectionError: + logger.error("Failed to connect to Elasticsearch") + raise + except Exception as e: + logger.error(f"Search failed: {e}") + raise + + async def get_indices(self) -> list[str]: + """ + Get list of available indices + + Returns: + List of index names + """ + try: + indices = await self.client.indices.get_alias(index="*") + return list(indices.keys()) + except Exception as e: + logger.error(f"Failed to get indices: {e}") + raise + + async def get_mapping(self, index: str) -> dict[str, Any]: + """ + Get mapping for an index + + Args: + index: Index name + + Returns: + Index mapping + """ + try: + mapping = await self.client.indices.get_mapping(index=index) + return mapping[index]["mappings"] if index in mapping else {} + except Exception as e: + logger.error(f"Failed to get mapping for index '{index}': {e}") + raise + + async def scroll_search( + self, + index: str | list[str], + query: dict[str, Any], + size: int = 1000, + scroll_timeout: str = "5m", + fields: list[str] | None = None, + ): + """ + Perform a scroll search for large result sets + + Args: + index: Elasticsearch index name or list of indices + query: Elasticsearch query DSL + size: Number of results per scroll + scroll_timeout: Scroll timeout + fields: List of fields to include in response + + Yields: + Document hits from Elasticsearch + """ + try: + search_body: dict[str, Any] = { + "query": query, + "size": size, + } + + if fields: + search_body["_source"] = fields + + # Initial search + response = await self.client.search( + index=index, body=search_body, scroll=scroll_timeout + ) + + scroll_id = response.get("_scroll_id") + hits = response["hits"]["hits"] + + while hits: + for hit in hits: + yield hit + + # Continue scrolling + if scroll_id: + response = await self.client.scroll( + scroll_id=scroll_id, scroll=scroll_timeout + ) + scroll_id = response.get("_scroll_id") + hits = response["hits"]["hits"] + + # Clear scroll + if scroll_id: + await self.client.clear_scroll(scroll_id=scroll_id) + + except Exception as e: + logger.error(f"Scroll search failed: {e}") + raise + + async def count_documents( + self, index: str | list[str], query: dict[str, Any] | None = None + ) -> int: + """ + Count documents in an index + + Args: + index: Index name or list of indices + query: Optional query to filter documents + + Returns: + Number of documents + """ + try: + if query: + response = await self.client.count(index=index, body={"query": query}) + else: + response = await self.client.count(index=index) + + return response["count"] + except Exception as e: + logger.error(f"Failed to count documents in index '{index}': {e}") + raise + + async def close(self): + """Close the Elasticsearch client connection""" + if hasattr(self, "client"): + await self.client.close() diff --git a/surfsense_backend/app/db.py b/surfsense_backend/app/db.py index eb33145cf..02d209d39 100644 --- a/surfsense_backend/app/db.py +++ b/surfsense_backend/app/db.py @@ -50,6 +50,7 @@ class DocumentType(str, Enum): GOOGLE_GMAIL_CONNECTOR = "GOOGLE_GMAIL_CONNECTOR" AIRTABLE_CONNECTOR = "AIRTABLE_CONNECTOR" LUMA_CONNECTOR = "LUMA_CONNECTOR" + ELASTICSEARCH_CONNECTOR = "ELASTICSEARCH_CONNECTOR" class SearchSourceConnectorType(str, Enum): @@ -68,6 +69,7 @@ class SearchSourceConnectorType(str, Enum): GOOGLE_GMAIL_CONNECTOR = "GOOGLE_GMAIL_CONNECTOR" AIRTABLE_CONNECTOR = "AIRTABLE_CONNECTOR" LUMA_CONNECTOR = "LUMA_CONNECTOR" + ELASTICSEARCH_CONNECTOR = "ELASTICSEARCH_CONNECTOR" class ChatType(str, Enum): diff --git a/surfsense_backend/app/routes/search_source_connectors_routes.py b/surfsense_backend/app/routes/search_source_connectors_routes.py index fc0f0b892..aef330e7f 100644 --- a/surfsense_backend/app/routes/search_source_connectors_routes.py +++ b/surfsense_backend/app/routes/search_source_connectors_routes.py @@ -40,6 +40,7 @@ from app.tasks.connector_indexers import ( index_clickup_tasks, index_confluence_pages, index_discord_messages, + index_elasticsearch_documents, index_github_repos, index_google_calendar_events, index_google_gmail_messages, @@ -363,6 +364,7 @@ async def index_connector_content( - JIRA_CONNECTOR: Indexes issues and comments from Jira - DISCORD_CONNECTOR: Indexes messages from all accessible Discord channels - LUMA_CONNECTOR: Indexes events from Luma + - ELASTICSEARCH_CONNECTOR: Indexes documents from Elasticsearch Args: connector_id: ID of the connector to use @@ -589,6 +591,24 @@ async def index_connector_content( ) response_message = "Luma indexing started in the background." + elif ( + connector.connector_type + == SearchSourceConnectorType.ELASTICSEARCH_CONNECTOR + ): + # Run indexing in background + logger.info( + f"Triggering Elasticsearch indexing for connector {connector_id} into search space {search_space_id}" + ) + background_tasks.add_task( + run_elasticsearch_indexing_with_new_session, + connector_id, + search_space_id, + str(user.id), + indexing_from, + indexing_to, + ) + response_message = "Elasticsearch indexing started in the background." + else: raise HTTPException( status_code=400, @@ -1358,3 +1378,61 @@ async def run_luma_indexing( ) except Exception as e: logger.error(f"Error in background Luma indexing task: {e!s}") + + +async def run_elasticsearch_indexing_with_new_session( + connector_id: int, + search_space_id: int, + user_id: str, + start_date: str, + end_date: str, +): + """Wrapper to run Elasticsearch indexing with its own database session.""" + logger.info( + f"Background task started: Indexing Elasticsearch connector {connector_id} into space {search_space_id}" + ) + async with async_session_maker() as session: + await run_elasticsearch_indexing( + session, connector_id, search_space_id, user_id, start_date, end_date + ) + logger.info( + f"Background task finished: Indexing Elasticsearch connector {connector_id}" + ) + + +async def run_elasticsearch_indexing( + session: AsyncSession, + connector_id: int, + search_space_id: int, + user_id: str, + start_date: str, + end_date: str, +): + """Runs the Elasticsearch indexing task and updates the timestamp.""" + try: + indexed_count, error_message = await index_elasticsearch_documents( + session, + connector_id, + search_space_id, + user_id, + start_date, + end_date, + update_last_indexed=False, + ) + if error_message: + logger.error( + f"Elasticsearch indexing failed for connector {connector_id}: {error_message}" + ) + else: + logger.info( + f"Elasticsearch indexing successful for connector {connector_id}. Indexed {indexed_count} documents." + ) + # Update the last indexed timestamp only on success + await update_connector_last_indexed(session, connector_id) + await session.commit() + except Exception as e: + await session.rollback() + logger.error( + f"Critical error in run_elasticsearch_indexing for connector {connector_id}: {e}", + exc_info=True, + ) diff --git a/surfsense_backend/app/services/connector_service.py b/surfsense_backend/app/services/connector_service.py index 83659a5c4..f67246117 100644 --- a/surfsense_backend/app/services/connector_service.py +++ b/surfsense_backend/app/services/connector_service.py @@ -2028,3 +2028,117 @@ class ConnectorService: } return result_object, luma_chunks + + async def search_elasticsearch( + self, + user_query: str, + user_id: str, + search_space_id: int, + top_k: int = 20, + search_mode: SearchMode = SearchMode.CHUNKS, + ) -> tuple: + """ + Search for Elasticsearch documents and return both the source information and langchain documents + + Args: + user_query: The user's query + user_id: The user's ID + search_space_id: The search space ID to search in + top_k: Maximum number of results to return + search_mode: Search mode (CHUNKS or DOCUMENTS) + + Returns: + tuple: (sources_info, langchain_documents) + """ + if search_mode == SearchMode.CHUNKS: + elasticsearch_chunks = await self.chunk_retriever.hybrid_search( + query_text=user_query, + top_k=top_k, + user_id=user_id, + search_space_id=search_space_id, + document_type="ELASTICSEARCH_CONNECTOR", + ) + elif search_mode == SearchMode.DOCUMENTS: + elasticsearch_chunks = await self.document_retriever.hybrid_search( + query_text=user_query, + top_k=top_k, + user_id=user_id, + search_space_id=search_space_id, + document_type="ELASTICSEARCH_CONNECTOR", + ) + # Transform document retriever results to match expected format + elasticsearch_chunks = self._transform_document_results( + elasticsearch_chunks + ) + + # Early return if no results + if not elasticsearch_chunks: + return { + "id": 34, + "name": "Elasticsearch", + "type": "ELASTICSEARCH_CONNECTOR", + "sources": [], + }, [] + + # Process each chunk and create sources directly without deduplication + sources_list = [] + async with self.counter_lock: + for _i, chunk in enumerate(elasticsearch_chunks): + # Extract document metadata + document = chunk.get("document", {}) + metadata = document.get("metadata", {}) + + # Extract Elasticsearch-specific metadata + es_id = metadata.get("elasticsearch_id", "") + es_index = metadata.get("elasticsearch_index", "") + es_score = metadata.get("elasticsearch_score", "") + + # Create a more descriptive title for Elasticsearch documents + title = document.get("title", "Elasticsearch Document") + if es_index: + title = f"{title} (Index: {es_index})" + + # Create a more descriptive description for Elasticsearch documents + description = chunk.get("content", "")[:150] + if len(description) == 150: + description += "..." + + # Add Elasticsearch info to description + info_parts = [] + if es_id: + info_parts.append(f"ID: {es_id}") + if es_score: + info_parts.append(f"Score: {es_score}") + + if info_parts: + if description: + description = f"{description} | {' | '.join(info_parts)}" + else: + description = " | ".join(info_parts) + + # For URL, we could construct a URL to view the document if we have the Elasticsearch UI URL + url = "" + # Could be extended to include Kibana or other UI URLs if configured + + source = { + "id": chunk.get("chunk_id", self.source_id_counter), + "title": title, + "description": description, + "url": url, + "elasticsearch_id": es_id, + "elasticsearch_index": es_index, + "elasticsearch_score": es_score, + } + + self.source_id_counter += 1 + sources_list.append(source) + + # Create result object + result_object = { + "id": 34, # Assign a unique ID for the Elasticsearch connector + "name": "Elasticsearch", + "type": "ELASTICSEARCH_CONNECTOR", + "sources": sources_list, + } + + return result_object, elasticsearch_chunks diff --git a/surfsense_backend/app/tasks/connector_indexers/__init__.py b/surfsense_backend/app/tasks/connector_indexers/__init__.py index fb7936126..766506f70 100644 --- a/surfsense_backend/app/tasks/connector_indexers/__init__.py +++ b/surfsense_backend/app/tasks/connector_indexers/__init__.py @@ -17,6 +17,7 @@ Available indexers: - Google Gmail: Index messages from Google Gmail - Google Calendar: Index events from Google Calendar - Luma: Index events from Luma +- Elasticsearch: Index documents from Elasticsearch instances """ # Communication platforms @@ -27,6 +28,7 @@ from .confluence_indexer import index_confluence_pages from .discord_indexer import index_discord_messages # Development platforms +from .elasticsearch_indexer import index_elasticsearch_documents from .github_indexer import index_github_repos from .google_calendar_indexer import index_google_calendar_events from .google_gmail_indexer import index_google_gmail_messages @@ -46,6 +48,7 @@ __all__ = [ # noqa: RUF022 "index_confluence_pages", "index_discord_messages", # Development platforms + "index_elasticsearch_documents", "index_github_repos", # Calendar and scheduling "index_google_calendar_events", diff --git a/surfsense_backend/app/tasks/connector_indexers/elasticsearch_indexer.py b/surfsense_backend/app/tasks/connector_indexers/elasticsearch_indexer.py new file mode 100644 index 000000000..ed459c031 --- /dev/null +++ b/surfsense_backend/app/tasks/connector_indexers/elasticsearch_indexer.py @@ -0,0 +1,354 @@ +""" +Elasticsearch indexer for SurfSense +""" + +import hashlib +import json +import logging +from datetime import UTC, datetime +from typing import Any + +from sqlalchemy.ext.asyncio import AsyncSession +from sqlalchemy.future import select + +from app.connectors.elasticsearch_connector import ElasticsearchConnector +from app.db import Document, DocumentType, SearchSourceConnector + +logger = logging.getLogger(__name__) + + +class _ChunkingService: + def __init__(self, chunk_size: int = 1000, overlap: int = 200) -> None: + self.chunk_size = max(100, chunk_size) + self.overlap = max(0, min(overlap, self.chunk_size - 1)) + + def chunk_text(self, text: str) -> list[str]: + if not text: + return [] + text = text.strip() + if len(text) <= self.chunk_size: + return [text] + chunks: list[str] = [] + step = self.chunk_size - self.overlap + pos = 0 + while pos < len(text): + end = pos + self.chunk_size + chunks.append(text[pos:end].strip()) + pos += step + return chunks + + +class _DocumentService: + def __init__(self, session): + self.session = session + + async def get_document_by_hash(self, content_hash: str): + from sqlalchemy.future import select + + from app.db import Document + + if not content_hash: + return None + result = await self.session.execute( + select(Document).where(Document.content_hash == content_hash) + ) + return result.scalars().first() + + async def create_chunks_for_document(self, document_id: int, chunks: list[str]): + from app.db import Chunk + + for chunk_text in chunks: + self.session.add(Chunk(content=chunk_text, document_id=document_id)) + await self.session.flush() + + +async def index_elasticsearch_documents( + session: AsyncSession, + connector_id: int, + search_space_id: int, + user_id: str, + start_date: str, + end_date: str, + update_last_indexed: bool = True, +) -> tuple[int, str | None]: + """ + Index documents from Elasticsearch into SurfSense + + Args: + session: Database session + connector_id: Elasticsearch connector ID + search_space_id: Search space ID + user_id: User ID + start_date: Start date for indexing (not used for Elasticsearch, kept for compatibility) + end_date: End date for indexing (not used for Elasticsearch, kept for compatibility) + update_last_indexed: Whether to update the last indexed timestamp + + Returns: + Tuple of (number of documents processed, error message if any) + """ + es_connector = None + try: + # Get the connector configuration + result = await session.execute( + select(SearchSourceConnector).filter( + SearchSourceConnector.id == connector_id + ) + ) + connector = result.scalars().first() + + if not connector: + error_msg = f"Elasticsearch connector with ID {connector_id} not found" + logger.error(error_msg) + return 0, error_msg + + # Get connector configuration + config = connector.config + + # Validate required fields - now only URL and INDEX are required + # Authentication can be either API key OR username/password + if "ELASTICSEARCH_URL" not in config: + error_msg = "Missing required field in connector config: ELASTICSEARCH_URL" + logger.error(error_msg) + return 0, error_msg + + if "ELASTICSEARCH_INDEX" not in config: + error_msg = ( + "Missing required field in connector config: ELASTICSEARCH_INDEX" + ) + logger.error(error_msg) + return 0, error_msg + + # Check authentication - must have either API key or username+password + has_api_key = ( + "ELASTICSEARCH_API_KEY" in config and config["ELASTICSEARCH_API_KEY"] + ) + has_basic_auth = ( + "ELASTICSEARCH_USERNAME" in config + and config["ELASTICSEARCH_USERNAME"] + and "ELASTICSEARCH_PASSWORD" in config + and config["ELASTICSEARCH_PASSWORD"] + ) + + if not has_api_key and not has_basic_auth: + error_msg = "Missing authentication: provide either ELASTICSEARCH_API_KEY or ELASTICSEARCH_USERNAME + ELASTICSEARCH_PASSWORD" + logger.error(error_msg) + return 0, error_msg + + # Initialize document service + document_service = _DocumentService(session) + chunking_service = _ChunkingService() + + # Initialize Elasticsearch connector + es_connector = ElasticsearchConnector( + url=config["ELASTICSEARCH_URL"], + api_key=config.get("ELASTICSEARCH_API_KEY"), + username=config.get("ELASTICSEARCH_USERNAME"), + password=config.get("ELASTICSEARCH_PASSWORD"), + verify_certs=config.get("ELASTICSEARCH_VERIFY_CERTS", True), + ca_certs=config.get("ELASTICSEARCH_CA_CERTS"), + ) + + # Build query based on configuration + query = _build_elasticsearch_query(config) + + # Get the index name(s) - can be a string or list + index_name = config["ELASTICSEARCH_INDEX"] + + # Get max documents to index + max_documents = config.get("ELASTICSEARCH_MAX_DOCUMENTS", 1000) + + logger.info( + f"Starting Elasticsearch indexing for index '{index_name}' with max {max_documents} documents" + ) + + documents_processed = 0 + + try: + # Use scroll search for large result sets + async for hit in es_connector.scroll_search( + index=index_name, + query=query, + size=min(max_documents, 100), # Scroll in batches + fields=config.get("ELASTICSEARCH_FIELDS"), + ): + if documents_processed >= max_documents: + break + + try: + # Extract document data + doc_id = hit["_id"] + source = hit.get("_source", {}) + + # Build document title + title_field = config.get("ELASTICSEARCH_TITLE_FIELD") + if not title_field: + for candidate in ("title", "name", "subject"): + if candidate in source: + title_field = candidate + break + title = ( + str(source.get(title_field, doc_id)) + if title_field is not None + else str(doc_id) + ) + + # Build document content + content = _build_document_content(source, config) + + if not content.strip(): + logger.warning(f"Skipping document {doc_id} - no content found") + continue + + # Create content hash + content_hash = hashlib.sha256(content.encode()).hexdigest() + + # Build metadata + metadata = { + "elasticsearch_id": doc_id, + "elasticsearch_index": hit.get("_index", index_name), + "elasticsearch_score": hit.get("_score"), + "indexed_at": datetime.now().isoformat(), + "source": "ELASTICSEARCH_CONNECTOR", + } + + # Add any additional metadata fields specified in config + if "ELASTICSEARCH_METADATA_FIELDS" in config: + for field in config["ELASTICSEARCH_METADATA_FIELDS"]: + if field in source: + metadata[f"es_{field}"] = source[field] + + # Check if document already exists + existing_doc = await document_service.get_document_by_hash( + content_hash + ) + + if existing_doc: + logger.debug(f"Document {doc_id} already exists, skipping") + continue + + # Create document + document = Document( + title=title, + content=content, + content_hash=content_hash, + document_type=DocumentType.ELASTICSEARCH_CONNECTOR, + document_metadata=metadata, + search_space_id=search_space_id, + ) + + # Add document to session + session.add(document) + await session.flush() # Get the document ID + + # Create chunks + chunks = chunking_service.chunk_text(content) + await document_service.create_chunks_for_document( + document.id, chunks + ) + + documents_processed += 1 + + if documents_processed % 10 == 0: + logger.info( + f"Processed {documents_processed} Elasticsearch documents" + ) + await session.commit() + + except Exception as e: + logger.error( + f"Error processing Elasticsearch document {hit.get('_id', 'unknown')}: {e}" + ) + continue + + # Final commit + await session.commit() + + logger.info( + f"Successfully indexed {documents_processed} documents from Elasticsearch" + ) + + # Update last indexed timestamp if requested + if update_last_indexed and documents_processed > 0: + connector.last_indexed_at = datetime.now() + await session.commit() + if update_last_indexed and documents_processed > 0: + # store ISO-8601 UTC timestamp with 'Z' suffix, e.g. 2025-10-09T22:04:53.599658Z + connector.last_indexed_at = ( + datetime.now(UTC).isoformat().replace("+00:00", "Z") + ) + await session.commit() + + return documents_processed, None + + finally: + # Clean up Elasticsearch connection + if es_connector: + await es_connector.close() + + except Exception as e: + error_msg = f"Error indexing Elasticsearch documents: {e}" + logger.error(error_msg, exc_info=True) + await session.rollback() + if es_connector: + await es_connector.close() + return 0, error_msg + + +def _build_elasticsearch_query(config: dict[str, Any]) -> dict[str, Any]: + """ + Build Elasticsearch query from connector configuration + + Args: + config: Connector configuration + + Returns: + Elasticsearch query DSL + """ + # Check if custom query is provided + if config.get("ELASTICSEARCH_QUERY"): + try: + if isinstance(config["ELASTICSEARCH_QUERY"], str): + return json.loads(config["ELASTICSEARCH_QUERY"]) + else: + return config["ELASTICSEARCH_QUERY"] + except (json.JSONDecodeError, TypeError) as e: + logger.warning(f"Invalid custom query, using match_all: {e}") + + # Default to match all documents + return {"match_all": {}} + + +def _build_document_content(source: dict[str, Any], config: dict[str, Any]) -> str: + """ + Build document content from Elasticsearch document source + + Args: + source: Elasticsearch document source + config: Connector configuration + + Returns: + Formatted document content + """ + content_parts = [] + + # Get content fields from config + content_fields = config.get("ELASTICSEARCH_CONTENT_FIELDS", []) + + if content_fields: + # Use specified content fields + for field in content_fields: + if field in source: + field_value = source[field] + if isinstance(field_value, str | int | float): + 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a/surfsense_web/app/dashboard/[search_space_id]/connectors/[connector_id]/edit/page.tsx b/surfsense_web/app/dashboard/[search_space_id]/connectors/[connector_id]/edit/page.tsx index 87844e8c8..f09069521 100644 --- a/surfsense_web/app/dashboard/[search_space_id]/connectors/[connector_id]/edit/page.tsx +++ b/surfsense_web/app/dashboard/[search_space_id]/connectors/[connector_id]/edit/page.tsx @@ -271,6 +271,17 @@ export default function EditConnectorPage() { placeholder="API Key..." /> )} + + {/* == Elasticsearch == */} + {connector.connector_type === "ELASTICSEARCH_CONNECTOR" && ( + + )} + + {/* Header */} +
+
+
+ {getConnectorIcon(EnumConnectorName.ELASTICSEARCH_CONNECTOR, "h-6 w-6")} +
+
+

Connect Elasticsearch

+

+ Connect to your Elasticsearch cluster to search and index documents. +

+
+
+
+ + + + + Connect + Documentation + + + + + + Connect Elasticsearch Cluster + + Connect to your Elasticsearch instance to search and index documents for enhanced + search capabilities. + + + +
+ + {/* Connector Name */} + ( + + Connector Name + + + + + A friendly name to identify this connector. + + + + )} + /> + + {/* Connection Details */} +
+

Connection Details

+ + ( + + Elasticsearch Endpoint URL + + + + + Enter the complete Elasticsearch endpoint URL. We'll automatically + extract the hostname, port, and SSL settings. + + + + )} + /> + + {/* Show parsed URL details */} + {form.watch("endpoint_url") && ( +
+

Parsed Connection Details:

+
+ {(() => { + try { + const url = new URL(form.watch("endpoint_url")); + return ( + <> +
+ Hostname: {url.hostname} +
+
+ Port:{" "} + {url.port || (url.protocol === "https:" ? "443" : "80")} +
+
+ SSL/TLS:{" "} + {url.protocol === "https:" ? "Enabled" : "Disabled"} +
+ + ); + } catch { + return
Invalid URL format
; + } + })()} +
+
+ )} +
+ + {/* Authentication */} +
+

Authentication

+ + ( + + + { + field.onChange(value); + // Clear auth fields when method changes + if (value !== "basic") { + form.setValue("username", ""); + form.setValue("password", ""); + } + if (value !== "api_key") { + form.setValue("ELASTICSEARCH_API_KEY", ""); + } + }} + value={field.value} + className="flex flex-col space-y-2" + > +
+ + +
+ + + +
+ +
+ + +
+ + + +
+ + + + + )} + /> + + {/* Basic Auth Fields */} + {form.watch("auth_method") === "basic" && ( +
+ ( + + Username + + + + + + )} + /> + + ( + + Password + + + + + + )} + /> +
+ )} + + {/* API Key Field */} + {form.watch("auth_method") === "api_key" && ( + ( + + API Key + + + + + Enter your Elasticsearch API key (base64 encoded). This will be + stored securely. + + + + )} + /> + )} +
+ + {/* Advanced Configuration */} + + + Advanced Configuration + + {/* Index Selection */} + ( + + + Index Selection{" "} + (Optional) + + + + + + Comma-separated indices to search (e.g., "logs-*, documents-*"). + Leave empty for all indices. Supports wildcards. + + + + )} + /> + + {/* Show parsed indices as badges */} + {form.watch("indices")?.trim() && ( +
+

Selected Indices:

+
+ {stringToArray(form.watch("indices")).map((index) => ( + + {index} + + ))} +
+
+ )} + + ( + + + Default Search Query{" "} + (Optional) + + + + + + Default Elasticsearch query to use for searches. Use "*" to match + all documents. + + + + )} + /> + + ( + + + Search Fields{" "} + (Optional) + + + + + + Comma-separated list of specific fields to search in (e.g., + "title, content, description"). Leave empty to search all fields. + + + + )} + /> + + {/* Show parsed search fields as badges */} + {form.watch("search_fields")?.trim() && ( +
+

Search Fields:

+
+ {stringToArray(form.watch("search_fields")).map((field) => ( + + {field} + + ))} +
+
+ )} + + ( + + + Maximum Documents{" "} + (Optional) + + + + field.onChange( + e.target.value === "" + ? undefined + : parseInt(e.target.value, 10) + ) + } + /> + + + Maximum number of documents to retrieve per search (1-10,000). + Leave empty to use Elasticsearch's default limit. + + + + )} + /> + + + + Index Selection Tips + +
    +
  • Use wildcards like "logs-*" to match multiple indices
    • +
  • Separate multiple indices with commas
    • +
  • Leave empty to search all accessible indices
    • +
  • Choosing specific indices improves search performance
    • +
+ + + + + + + + +
+ +
+ + + + +

+ What you get with Elasticsearch integration: +

+
    +
  • Search across your indexed documents and logs
    • +
  • Access structured and unstructured data from your cluster
    • +
  • Leverage existing Elasticsearch indices for enhanced search
    • +
  • Real-time search capabilities with powerful query features
    • +
  • Integration with your existing Elasticsearch infrastructure
    • +
+ + + + + + + + + Elasticsearch Connector Documentation + + + Learn how to set up and use the Elasticsearch connector to search your data. + + + +
+

How it works

+

+ The Elasticsearch connector allows you to search and retrieve documents from + your Elasticsearch cluster. Configure connection details, select specific + indices, and set search parameters to make your existing data searchable within + SurfSense. +

+
+ + + + + Connection Setup + + +
    +
  1. + Endpoint URL: Enter the complete Elasticsearch endpoint + URL (e.g., https://your-cluster.es.region.aws.com:443). We'll + automatically extract hostname, port, and SSL settings. +
    2. +
  2. + Authentication: Choose the appropriate method: +
      +
    • + API Key: Base64 encoded API key (recommended for + security) +
      • +
    • + Username/Password: Basic authentication credentials +
      • +
    +
    3. +
+ + + + + + Advanced Configuration + + +

+ Fine-tune your Elasticsearch connector with these optional settings: +

+
    +
  • + Index Selection: Specify which indices to search using + comma-separated patterns (e.g., "logs-*, documents-*") +
    • +
  • + Search Fields: Limit searches to specific fields (e.g., + "title, content") for better relevance +
    • +
  • + Default Query: Set a default Elasticsearch query pattern +
    • +
  • + Max Documents: Limit the number of documents returned per + search (1-10,000) +
    • +
+ + + + + + Troubleshooting + + +
+
+

Common Connection Issues:

+
    +
  • + Connection Refused: Check hostname and port. Ensure + Elasticsearch is running. +
    • +
  • + Authentication Failed: Verify credentials. For API + keys, ensure they have proper permissions. +
    • +
  • + SSL Errors: Try disabling SSL for local development + or check certificate validity. +
    • +
  • + No Indices Found: Ensure your credentials have + permission to list and read indices. +
    • +
+
+ + + + Security Note + + For production environments, use API keys with minimal required + permissions: cluster monitoring and read access to specific indices. + + +
+ + + + + + + + +
+ ); +} diff --git a/surfsense_web/app/dashboard/[search_space_id]/connectors/add/page.tsx b/surfsense_web/app/dashboard/[search_space_id]/connectors/add/page.tsx index a8bb9cfe8..a8d148cef 100644 --- a/surfsense_web/app/dashboard/[search_space_id]/connectors/add/page.tsx +++ b/surfsense_web/app/dashboard/[search_space_id]/connectors/add/page.tsx @@ -52,6 +52,13 @@ const connectorCategories: ConnectorCategory[] = [ icon: getConnectorIcon(EnumConnectorName.LINKUP_API, "h-6 w-6"), status: "available", }, + { + id: "elasticsearch-connector", + title: "Elasticsearch", + description: "Connect to Elasticsearch to index and search documents, logs and metrics.", + icon: getConnectorIcon(EnumConnectorName.ELASTICSEARCH_CONNECTOR, "h-6 w-6"), + status: "available", + }, ], }, { diff --git a/surfsense_web/components/dashboard-breadcrumb.tsx b/surfsense_web/components/dashboard-breadcrumb.tsx index 6eb71ef5d..e77a1fdb3 100644 --- a/surfsense_web/components/dashboard-breadcrumb.tsx +++ b/surfsense_web/components/dashboard-breadcrumb.tsx @@ -88,6 +88,7 @@ export function DashboardBreadcrumb() { "serper-api": "Serper API", "linkup-api": "LinkUp API", "luma-connector": "Luma", + "elasticsearch-connector": "Elasticsearch", }; const connectorLabel = connectorLabels[connectorType] || connectorType; diff --git a/surfsense_web/components/editConnector/types.ts b/surfsense_web/components/editConnector/types.ts index 4e91ef305..c9047b7e2 100644 --- a/surfsense_web/components/editConnector/types.ts +++ b/surfsense_web/components/editConnector/types.ts @@ -44,5 +44,6 @@ export const editConnectorSchema = z.object({ GOOGLE_CALENDAR_REFRESH_TOKEN: z.string().optional(), GOOGLE_CALENDAR_CALENDAR_IDS: z.string().optional(), LUMA_API_KEY: z.string().optional(), + ELASTICSEARCH_API_KEY: z.string().optional(), }); export type EditConnectorFormValues = z.infer; diff --git a/surfsense_web/components/homepage/integrations.tsx b/surfsense_web/components/homepage/integrations.tsx index f94292e9b..6d8433ac0 100644 --- a/surfsense_web/components/homepage/integrations.tsx +++ b/surfsense_web/components/homepage/integrations.tsx @@ -13,6 +13,7 @@ const INTEGRATIONS: Integration[] = [ name: "LinkUp", icon: "https://framerusercontent.com/images/7zeIm6t3f1HaSltkw8upEvsD80.png?scale-down-to=512", }, + { name: "Elasticsearch", icon: "https://cdn.simpleicons.org/elastic/00A9E5" }, // Communication { name: "Slack", icon: "https://cdn.simpleicons.org/slack/4A154B" }, diff --git a/surfsense_web/contracts/enums/connector.ts b/surfsense_web/contracts/enums/connector.ts index a49314e2e..644ac177b 100644 --- a/surfsense_web/contracts/enums/connector.ts +++ b/surfsense_web/contracts/enums/connector.ts @@ -14,4 +14,5 @@ export enum EnumConnectorName { GOOGLE_GMAIL_CONNECTOR = "GOOGLE_GMAIL_CONNECTOR", AIRTABLE_CONNECTOR = "AIRTABLE_CONNECTOR", LUMA_CONNECTOR = "LUMA_CONNECTOR", + ELASTICSEARCH_CONNECTOR = "ELASTICSEARCH_CONNECTOR", } diff --git a/surfsense_web/contracts/enums/connectorIcons.tsx b/surfsense_web/contracts/enums/connectorIcons.tsx index f34a10398..d981f47a8 100644 --- a/surfsense_web/contracts/enums/connectorIcons.tsx +++ b/surfsense_web/contracts/enums/connectorIcons.tsx @@ -1,6 +1,7 @@ import { IconBook, IconBrandDiscord, + IconBrandElastic, IconBrandGithub, IconBrandNotion, IconBrandSlack, @@ -52,6 +53,8 @@ export const getConnectorIcon = (connectorType: EnumConnectorName | string, clas return ; case EnumConnectorName.LUMA_CONNECTOR: return ; + case EnumConnectorName.ELASTICSEARCH_CONNECTOR: + return ; // Additional cases for non-enum connector types case "YOUTUBE_VIDEO": return ; diff --git a/surfsense_web/hooks/use-connector-edit-page.ts b/surfsense_web/hooks/use-connector-edit-page.ts index fe90db3c8..a1c454941 100644 --- a/surfsense_web/hooks/use-connector-edit-page.ts +++ b/surfsense_web/hooks/use-connector-edit-page.ts @@ -57,6 +57,7 @@ export function useConnectorEditPage(connectorId: number, searchSpaceId: string) JIRA_EMAIL: "", JIRA_API_TOKEN: "", LUMA_API_KEY: "", + ELASTICSEARCH_API_KEY: "", }, }); @@ -84,6 +85,7 @@ export function useConnectorEditPage(connectorId: number, searchSpaceId: string) JIRA_EMAIL: config.JIRA_EMAIL || "", JIRA_API_TOKEN: config.JIRA_API_TOKEN || "", LUMA_API_KEY: config.LUMA_API_KEY || "", + ELASTICSEARCH_API_KEY: config.ELASTICSEARCH_API_KEY || "", }); if (currentConnector.connector_type === "GITHUB_CONNECTOR") { const savedRepos = config.repo_full_names || []; @@ -319,6 +321,16 @@ export function useConnectorEditPage(connectorId: number, searchSpaceId: string) newConfig = { LUMA_API_KEY: formData.LUMA_API_KEY }; } break; + case "ELASTICSEARCH_CONNECTOR": + if (formData.ELASTICSEARCH_API_KEY !== originalConfig.ELASTICSEARCH_API_KEY) { + if (!formData.ELASTICSEARCH_API_KEY) { + toast.error("Elasticsearch API Key cannot be empty."); + setIsSaving(false); + return; + } + newConfig = { ELASTICSEARCH_API_KEY: formData.ELASTICSEARCH_API_KEY }; + } + break; } if (newConfig !== null) { @@ -383,6 +395,11 @@ export function useConnectorEditPage(connectorId: number, searchSpaceId: string) editForm.setValue("JIRA_API_TOKEN", newlySavedConfig.JIRA_API_TOKEN || ""); } else if (connector.connector_type === "LUMA_CONNECTOR") { editForm.setValue("LUMA_API_KEY", newlySavedConfig.LUMA_API_KEY || ""); + } else if (connector.connector_type === "ELASTICSEARCH_CONNECTOR") { + editForm.setValue( + "ELASTICSEARCH_API_KEY", + newlySavedConfig.ELASTICSEARCH_API_KEY || "" + ); } } if (connector.connector_type === "GITHUB_CONNECTOR") { diff --git a/surfsense_web/hooks/use-document-by-chunk.ts b/surfsense_web/hooks/use-document-by-chunk.ts index 25dc9813a..dd36fcab1 100644 --- a/surfsense_web/hooks/use-document-by-chunk.ts +++ b/surfsense_web/hooks/use-document-by-chunk.ts @@ -35,7 +35,8 @@ export type DocumentType = | "CLICKUP_CONNECTOR" | "GOOGLE_CALENDAR_CONNECTOR" | "GOOGLE_GMAIL_CONNECTOR" - | "LUMA_CONNECTOR"; + | "LUMA_CONNECTOR" + | "ELASTICSEARCH_CONNECTOR"; export function useDocumentByChunk() { const [document, setDocument] = useState(null); diff --git a/surfsense_web/hooks/use-documents.ts b/surfsense_web/hooks/use-documents.ts index 4c22a8707..764b000eb 100644 --- a/surfsense_web/hooks/use-documents.ts +++ b/surfsense_web/hooks/use-documents.ts @@ -29,7 +29,8 @@ export type DocumentType = | "GOOGLE_CALENDAR_CONNECTOR" | "GOOGLE_GMAIL_CONNECTOR" | "AIRTABLE_CONNECTOR" - | "LUMA_CONNECTOR"; + | "LUMA_CONNECTOR" + | "ELASTICSEARCH_CONNECTOR"; export interface UseDocumentsOptions { page?: number; diff --git a/surfsense_web/lib/connectors/utils.ts b/surfsense_web/lib/connectors/utils.ts index 798204d94..30ac1eb29 100644 --- a/surfsense_web/lib/connectors/utils.ts +++ b/surfsense_web/lib/connectors/utils.ts @@ -16,6 +16,7 @@ export const getConnectorTypeDisplay = (type: string): string => { GOOGLE_GMAIL_CONNECTOR: "Google Gmail", AIRTABLE_CONNECTOR: "Airtable", LUMA_CONNECTOR: "Luma", + ELASTICSEARCH_CONNECTOR: "Elasticsearch", }; return typeMap[type] || type; }; diff --git a/surfsense_web/package.json b/surfsense_web/package.json index f65904784..8897fd6ef 100644 --- a/surfsense_web/package.json +++ b/surfsense_web/package.json @@ -32,6 +32,7 @@ "@radix-ui/react-dropdown-menu": "^2.1.15", "@radix-ui/react-label": "^2.1.7", "@radix-ui/react-popover": "^1.1.14", + "@radix-ui/react-radio-group": "^1.3.8", "@radix-ui/react-scroll-area": "^1.2.9", "@radix-ui/react-select": "^2.2.5", "@radix-ui/react-separator": "^1.1.7", diff --git a/surfsense_web/pnpm-lock.yaml b/surfsense_web/pnpm-lock.yaml index 3463929ec..562a7a7bd 100644 --- a/surfsense_web/pnpm-lock.yaml +++ b/surfsense_web/pnpm-lock.yaml @@ -47,6 +47,9 @@ importers: '@radix-ui/react-popover': specifier: ^1.1.14 version: 1.1.14(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.1.0(react@19.1.0))(react@19.1.0) + '@radix-ui/react-radio-group': + specifier: ^1.3.8 + version: 1.3.8(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.1.0(react@19.1.0))(react@19.1.0) '@radix-ui/react-scroll-area': specifier: ^1.2.9 version: 1.2.9(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.1.0(react@19.1.0))(react@19.1.0) @@ -118,7 +121,7 @@ importers: version: 15.6.6(@types/react@19.1.8)(next@15.4.4(@opentelemetry/api@1.9.0)(react-dom@19.1.0(react@19.1.0))(react@19.1.0))(react-dom@19.1.0(react@19.1.0))(react@19.1.0) fumadocs-mdx: specifier: ^11.7.1 - version: 11.7.1(acorn@8.14.0)(fumadocs-core@15.6.6(@types/react@19.1.8)(next@15.4.4(@opentelemetry/api@1.9.0)(react-dom@19.1.0(react@19.1.0))(react@19.1.0))(react-dom@19.1.0(react@19.1.0))(react@19.1.0))(next@15.4.4(@opentelemetry/api@1.9.0)(react-dom@19.1.0(react@19.1.0))(react@19.1.0))(react@19.1.0) + version: 11.7.1(acorn@8.15.0)(fumadocs-core@15.6.6(@types/react@19.1.8)(next@15.4.4(@opentelemetry/api@1.9.0)(react-dom@19.1.0(react@19.1.0))(react@19.1.0))(react-dom@19.1.0(react@19.1.0))(react@19.1.0))(next@15.4.4(@opentelemetry/api@1.9.0)(react-dom@19.1.0(react@19.1.0))(react@19.1.0))(react@19.1.0) fumadocs-ui: specifier: ^15.6.6 version: 15.6.6(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(next@15.4.4(@opentelemetry/api@1.9.0)(react-dom@19.1.0(react@19.1.0))(react@19.1.0))(react-dom@19.1.0(react@19.1.0))(react@19.1.0)(tailwindcss@4.1.11) @@ -1735,6 +1738,19 @@ packages: '@types/react-dom': optional: true + '@radix-ui/react-presence@1.1.5': + resolution: {integrity: sha512-/jfEwNDdQVBCNvjkGit4h6pMOzq8bHkopq458dPt2lMjx+eBQUohZNG9A7DtO/O5ukSbxuaNGXMjHicgwy6rQQ==} + peerDependencies: + '@types/react': '*' + '@types/react-dom': '*' + react: ^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc + react-dom: ^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc + peerDependenciesMeta: + '@types/react': + optional: true + '@types/react-dom': + optional: true + '@radix-ui/react-primitive@1.0.0': resolution: {integrity: sha512-EyXe6mnRlHZ8b6f4ilTDrXmkLShICIuOTTj0GX4w1rp+wSxf3+TD05u1UOITC8VsJ2a9nwHvdXtOXEOl0Cw/zQ==} peerDependencies: @@ -1793,6 +1809,19 @@ packages: '@types/react-dom': optional: true + '@radix-ui/react-radio-group@1.3.8': + resolution: {integrity: sha512-VBKYIYImA5zsxACdisNQ3BjCBfmbGH3kQlnFVqlWU4tXwjy7cGX8ta80BcrO+WJXIn5iBylEH3K6ZTlee//lgQ==} + peerDependencies: + '@types/react': '*' + '@types/react-dom': '*' + react: ^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc + react-dom: ^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc + peerDependenciesMeta: + '@types/react': + optional: true + '@types/react-dom': + optional: true + '@radix-ui/react-roving-focus@1.1.10': resolution: {integrity: sha512-dT9aOXUen9JSsxnMPv/0VqySQf5eDQ6LCk5Sw28kamz8wSOW2bJdlX2Bg5VUIIcV+6XlHpWTIuTPCf/UNIyq8Q==} peerDependencies: @@ -1806,6 +1835,19 @@ packages: '@types/react-dom': optional: true + '@radix-ui/react-roving-focus@1.1.11': + resolution: {integrity: sha512-7A6S9jSgm/S+7MdtNDSb+IU859vQqJ/QAtcYQcfFC6W8RS4IxIZDldLR0xqCFZ6DCyrQLjLPsxtTNch5jVA4lA==} + peerDependencies: + '@types/react': '*' + '@types/react-dom': '*' + react: ^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc + react-dom: ^16.8 || ^17.0 || ^18.0 || ^19.0 || ^19.0.0-rc + peerDependenciesMeta: + '@types/react': + optional: true + '@types/react-dom': + optional: true + '@radix-ui/react-scroll-area@1.2.9': resolution: {integrity: sha512-YSjEfBXnhUELsO2VzjdtYYD4CfQjvao+lhhrX5XsHD7/cyUNzljF1FHEbgTPN7LH2MClfwRMIsYlqTYpKTTe2A==} peerDependencies: @@ -6554,7 +6596,7 @@ snapshots: '@marijn/find-cluster-break@1.0.2': {} - '@mdx-js/mdx@3.1.0(acorn@8.14.0)': + '@mdx-js/mdx@3.1.0(acorn@8.15.0)': dependencies: '@types/estree': 1.0.8 '@types/estree-jsx': 1.0.5 @@ -6568,7 +6610,7 @@ snapshots: hast-util-to-jsx-runtime: 2.3.6 markdown-extensions: 2.0.0 recma-build-jsx: 1.0.0 - recma-jsx: 1.0.0(acorn@8.14.0) + recma-jsx: 1.0.0(acorn@8.15.0) recma-stringify: 1.0.0 rehype-recma: 1.0.0 remark-mdx: 3.1.0 @@ -7260,6 +7302,16 @@ snapshots: '@types/react': 19.1.8 '@types/react-dom': 19.1.6(@types/react@19.1.8) + '@radix-ui/react-presence@1.1.5(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.1.0(react@19.1.0))(react@19.1.0)': + dependencies: + '@radix-ui/react-compose-refs': 1.1.2(@types/react@19.1.8)(react@19.1.0) + '@radix-ui/react-use-layout-effect': 1.1.1(@types/react@19.1.8)(react@19.1.0) + react: 19.1.0 + react-dom: 19.1.0(react@19.1.0) + optionalDependencies: + '@types/react': 19.1.8 + '@types/react-dom': 19.1.6(@types/react@19.1.8) + '@radix-ui/react-primitive@1.0.0(react-dom@19.1.0(react@19.1.0))(react@19.1.0)': dependencies: '@babel/runtime': 7.26.9 @@ -7305,6 +7357,24 @@ snapshots: '@types/react': 19.1.8 '@types/react-dom': 19.1.6(@types/react@19.1.8) + '@radix-ui/react-radio-group@1.3.8(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.1.0(react@19.1.0))(react@19.1.0)': + dependencies: + '@radix-ui/primitive': 1.1.3 + '@radix-ui/react-compose-refs': 1.1.2(@types/react@19.1.8)(react@19.1.0) + '@radix-ui/react-context': 1.1.2(@types/react@19.1.8)(react@19.1.0) + '@radix-ui/react-direction': 1.1.1(@types/react@19.1.8)(react@19.1.0) + '@radix-ui/react-presence': 1.1.5(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.1.0(react@19.1.0))(react@19.1.0) + '@radix-ui/react-primitive': 2.1.3(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.1.0(react@19.1.0))(react@19.1.0) + '@radix-ui/react-roving-focus': 1.1.11(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.1.0(react@19.1.0))(react@19.1.0) + '@radix-ui/react-use-controllable-state': 1.2.2(@types/react@19.1.8)(react@19.1.0) + '@radix-ui/react-use-previous': 1.1.1(@types/react@19.1.8)(react@19.1.0) + '@radix-ui/react-use-size': 1.1.1(@types/react@19.1.8)(react@19.1.0) + react: 19.1.0 + react-dom: 19.1.0(react@19.1.0) + optionalDependencies: + '@types/react': 19.1.8 + '@types/react-dom': 19.1.6(@types/react@19.1.8) + '@radix-ui/react-roving-focus@1.1.10(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.1.0(react@19.1.0))(react@19.1.0)': dependencies: '@radix-ui/primitive': 1.1.2 @@ -7322,6 +7392,23 @@ snapshots: '@types/react': 19.1.8 '@types/react-dom': 19.1.6(@types/react@19.1.8) + '@radix-ui/react-roving-focus@1.1.11(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.1.0(react@19.1.0))(react@19.1.0)': + dependencies: + '@radix-ui/primitive': 1.1.3 + '@radix-ui/react-collection': 1.1.7(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.1.0(react@19.1.0))(react@19.1.0) + '@radix-ui/react-compose-refs': 1.1.2(@types/react@19.1.8)(react@19.1.0) + '@radix-ui/react-context': 1.1.2(@types/react@19.1.8)(react@19.1.0) + '@radix-ui/react-direction': 1.1.1(@types/react@19.1.8)(react@19.1.0) + '@radix-ui/react-id': 1.1.1(@types/react@19.1.8)(react@19.1.0) + '@radix-ui/react-primitive': 2.1.3(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.1.0(react@19.1.0))(react@19.1.0) + '@radix-ui/react-use-callback-ref': 1.1.1(@types/react@19.1.8)(react@19.1.0) + '@radix-ui/react-use-controllable-state': 1.2.2(@types/react@19.1.8)(react@19.1.0) + react: 19.1.0 + react-dom: 19.1.0(react@19.1.0) + optionalDependencies: + '@types/react': 19.1.8 + '@types/react-dom': 19.1.6(@types/react@19.1.8) + '@radix-ui/react-scroll-area@1.2.9(@types/react-dom@19.1.6(@types/react@19.1.8))(@types/react@19.1.8)(react-dom@19.1.0(react@19.1.0))(react@19.1.0)': dependencies: '@radix-ui/number': 1.1.1 @@ -9073,9 +9160,9 @@ snapshots: transitivePeerDependencies: - supports-color - fumadocs-mdx@11.7.1(acorn@8.14.0)(fumadocs-core@15.6.6(@types/react@19.1.8)(next@15.4.4(@opentelemetry/api@1.9.0)(react-dom@19.1.0(react@19.1.0))(react@19.1.0))(react-dom@19.1.0(react@19.1.0))(react@19.1.0))(next@15.4.4(@opentelemetry/api@1.9.0)(react-dom@19.1.0(react@19.1.0))(react@19.1.0))(react@19.1.0): + fumadocs-mdx@11.7.1(acorn@8.15.0)(fumadocs-core@15.6.6(@types/react@19.1.8)(next@15.4.4(@opentelemetry/api@1.9.0)(react-dom@19.1.0(react@19.1.0))(react@19.1.0))(react-dom@19.1.0(react@19.1.0))(react@19.1.0))(next@15.4.4(@opentelemetry/api@1.9.0)(react-dom@19.1.0(react@19.1.0))(react@19.1.0))(react@19.1.0): dependencies: - '@mdx-js/mdx': 3.1.0(acorn@8.14.0) + '@mdx-js/mdx': 3.1.0(acorn@8.15.0) '@standard-schema/spec': 1.0.0 chokidar: 4.0.3 esbuild: 0.25.8 @@ -11137,9 +11224,9 @@ snapshots: estree-util-build-jsx: 3.0.1 vfile: 6.0.3 - recma-jsx@1.0.0(acorn@8.14.0): + recma-jsx@1.0.0(acorn@8.15.0): dependencies: - acorn-jsx: 5.3.2(acorn@8.14.0) + acorn-jsx: 5.3.2(acorn@8.15.0) estree-util-to-js: 2.0.0 recma-parse: 1.0.0 recma-stringify: 1.0.0