diff --git a/surfsense_backend/.env.example b/surfsense_backend/.env.example index 1dd825cd3..2b6a84967 100644 --- a/surfsense_backend/.env.example +++ b/surfsense_backend/.env.example @@ -85,6 +85,11 @@ TEAMS_CLIENT_ID=your_teams_client_id_here TEAMS_CLIENT_SECRET=your_teams_client_secret_here TEAMS_REDIRECT_URI=http://localhost:8000/api/v1/auth/teams/connector/callback +#Composio Coonnector +COMPOSIO_API_KEY=your_api_key_here +COMPOSIO_ENABLED=TRUE +COMPOSIO_REDIRECT_URI=http://localhost:8000/api/v1/auth/composio/connector/callback + # Embedding Model # Examples: # # Get sentence transformers embeddings diff --git a/surfsense_backend/alembic/versions/73_add_user_memories_table.py b/surfsense_backend/alembic/versions/73_add_user_memories_table.py new file mode 100644 index 000000000..c0a1fb97e --- /dev/null +++ b/surfsense_backend/alembic/versions/73_add_user_memories_table.py @@ -0,0 +1,135 @@ +"""Add user_memories table for AI memory feature + +Revision ID: 73 +Revises: 72 +Create Date: 2026-01-20 + +This migration adds the user_memories table which enables Claude-like memory +functionality - allowing the AI to remember facts, preferences, and context +about users across conversations. +""" + +from collections.abc import Sequence + +from alembic import op +from app.config import config + +# revision identifiers, used by Alembic. +revision: str = "73" +down_revision: str | None = "72" +branch_labels: str | Sequence[str] | None = None +depends_on: str | Sequence[str] | None = None + +# Get embedding dimension from config +EMBEDDING_DIM = config.embedding_model_instance.dimension + + +def upgrade() -> None: + """Create user_memories table and MemoryCategory enum.""" + + # Create the MemoryCategory enum type + op.execute( + """ + DO $$ + BEGIN + IF NOT EXISTS (SELECT 1 FROM pg_type WHERE typname = 'memorycategory') THEN + CREATE TYPE memorycategory AS ENUM ( + 'preference', + 'fact', + 'instruction', + 'context' + ); + END IF; + END$$; + """ + ) + + # Create user_memories table + op.execute( + f""" + DO $$ + BEGIN + IF NOT EXISTS ( + SELECT FROM information_schema.tables + WHERE table_name = 'user_memories' + ) THEN + CREATE TABLE user_memories ( + id SERIAL PRIMARY KEY, + created_at TIMESTAMP WITH TIME ZONE NOT NULL DEFAULT NOW(), + user_id UUID NOT NULL REFERENCES "user"(id) ON DELETE CASCADE, + search_space_id INTEGER REFERENCES searchspaces(id) ON DELETE CASCADE, + memory_text TEXT NOT NULL, + category memorycategory NOT NULL DEFAULT 'fact', + embedding vector({EMBEDDING_DIM}), + updated_at TIMESTAMP WITH TIME ZONE NOT NULL DEFAULT NOW() + ); + END IF; + END$$; + """ + ) + + # Create indexes for efficient querying + op.execute( + """ + DO $$ + BEGIN + -- Index on user_id for filtering memories by user + IF NOT EXISTS ( + SELECT 1 FROM pg_indexes + WHERE tablename = 'user_memories' AND indexname = 'ix_user_memories_user_id' + ) THEN + CREATE INDEX ix_user_memories_user_id ON user_memories(user_id); + END IF; + + -- Index on search_space_id for filtering memories by search space + IF NOT EXISTS ( + SELECT 1 FROM pg_indexes + WHERE tablename = 'user_memories' AND indexname = 'ix_user_memories_search_space_id' + ) THEN + CREATE INDEX ix_user_memories_search_space_id ON user_memories(search_space_id); + END IF; + + -- Index on updated_at for ordering by recency + IF NOT EXISTS ( + SELECT 1 FROM pg_indexes + WHERE tablename = 'user_memories' AND indexname = 'ix_user_memories_updated_at' + ) THEN + CREATE INDEX ix_user_memories_updated_at ON user_memories(updated_at); + END IF; + + -- Index on category for filtering by memory type + IF NOT EXISTS ( + SELECT 1 FROM pg_indexes + WHERE tablename = 'user_memories' AND indexname = 'ix_user_memories_category' + ) THEN + CREATE INDEX ix_user_memories_category ON user_memories(category); + END IF; + + -- Composite index for common query pattern (user + search space) + IF NOT EXISTS ( + SELECT 1 FROM pg_indexes + WHERE tablename = 'user_memories' AND indexname = 'ix_user_memories_user_search_space' + ) THEN + CREATE INDEX ix_user_memories_user_search_space ON user_memories(user_id, search_space_id); + END IF; + END$$; + """ + ) + + # Create vector index for semantic search + op.execute( + """ + CREATE INDEX IF NOT EXISTS user_memories_vector_index + ON user_memories USING hnsw (embedding public.vector_cosine_ops); + """ + ) + + +def downgrade() -> None: + """Drop user_memories table and MemoryCategory enum.""" + + # Drop the table + op.execute("DROP TABLE IF EXISTS user_memories CASCADE;") + + # Drop the enum type + op.execute("DROP TYPE IF EXISTS memorycategory;") diff --git a/surfsense_backend/alembic/versions/74_no_op.py b/surfsense_backend/alembic/versions/74_no_op.py new file mode 100644 index 000000000..a5ee99b29 --- /dev/null +++ b/surfsense_backend/alembic/versions/74_no_op.py @@ -0,0 +1,29 @@ +"""No-op migration for Composio support + +Revision ID: 74 +Revises: 73 +Create Date: 2026-01-21 + +NOTE: This migration is a no-op since Composio is not supported yet. +""" + +from collections.abc import Sequence + +# revision identifiers, used by Alembic. +revision: str = "74" +down_revision: str | None = "73" +branch_labels: str | Sequence[str] | None = None +depends_on: str | Sequence[str] | None = None + + +def upgrade() -> None: + """No-op upgrade for Composio support.""" + pass + + +def downgrade() -> None: + """No-op downgrade for Composio support. + + Note: PostgreSQL does not support removing enum values directly. + """ + pass diff --git a/surfsense_backend/alembic/versions/75_add_chat_session_state_table.py b/surfsense_backend/alembic/versions/75_add_chat_session_state_table.py new file mode 100644 index 000000000..46bf7b9b9 --- /dev/null +++ b/surfsense_backend/alembic/versions/75_add_chat_session_state_table.py @@ -0,0 +1,75 @@ +"""Add chat_session_state table for live collaboration + +Revision ID: 75 +Revises: 74 + +Creates chat_session_state table to track AI responding state per thread. +Enables real-time sync via Electric SQL for shared chat collaboration. +""" + +from collections.abc import Sequence + +from alembic import op + +revision: str = "75" +down_revision: str | None = "74" +branch_labels: str | Sequence[str] | None = None +depends_on: str | Sequence[str] | None = None + + +def upgrade() -> None: + """Create chat_session_state table with Electric SQL replication.""" + op.execute( + """ + CREATE TABLE IF NOT EXISTS chat_session_state ( + id SERIAL PRIMARY KEY, + thread_id INTEGER NOT NULL REFERENCES new_chat_threads(id) ON DELETE CASCADE, + ai_responding_to_user_id UUID REFERENCES "user"(id) ON DELETE SET NULL, + updated_at TIMESTAMPTZ NOT NULL DEFAULT NOW(), + UNIQUE (thread_id) + ) + """ + ) + + op.execute( + "CREATE INDEX IF NOT EXISTS idx_chat_session_state_thread_id ON chat_session_state(thread_id)" + ) + + op.execute("ALTER TABLE chat_session_state REPLICA IDENTITY FULL;") + + op.execute( + """ + DO $$ + BEGIN + IF NOT EXISTS ( + SELECT 1 FROM pg_publication_tables + WHERE pubname = 'electric_publication_default' + AND tablename = 'chat_session_state' + ) THEN + ALTER PUBLICATION electric_publication_default ADD TABLE chat_session_state; + END IF; + END + $$; + """ + ) + + +def downgrade() -> None: + """Drop chat_session_state table and remove from Electric SQL replication.""" + op.execute( + """ + DO $$ + BEGIN + IF EXISTS ( + SELECT 1 FROM pg_publication_tables + WHERE pubname = 'electric_publication_default' + AND tablename = 'chat_session_state' + ) THEN + ALTER PUBLICATION electric_publication_default DROP TABLE chat_session_state; + END IF; + END + $$; + """ + ) + + op.execute("DROP TABLE IF EXISTS chat_session_state;") diff --git a/surfsense_backend/alembic/versions/76_add_live_collaboration_tables_electric_replication.py b/surfsense_backend/alembic/versions/76_add_live_collaboration_tables_electric_replication.py new file mode 100644 index 000000000..68bca4fc1 --- /dev/null +++ b/surfsense_backend/alembic/versions/76_add_live_collaboration_tables_electric_replication.py @@ -0,0 +1,99 @@ +"""Add live collaboration tables to Electric SQL publication + +Revision ID: 76 +Revises: 75 + +Enables real-time sync for live collaboration features: +- new_chat_messages: Live message sync between users +- chat_comments: Live comment updates + +Note: User/member info is fetched via API (membersAtom) for client-side joins, +not via Electric SQL, to keep where clauses optimized and reduce complexity. +""" + +from collections.abc import Sequence + +from alembic import op + +revision: str = "76" +down_revision: str | None = "75" +branch_labels: str | Sequence[str] | None = None +depends_on: str | Sequence[str] | None = None + + +def upgrade() -> None: + """Add live collaboration tables to Electric SQL replication.""" + # Set REPLICA IDENTITY FULL for Electric SQL sync + op.execute("ALTER TABLE new_chat_messages REPLICA IDENTITY FULL;") + op.execute("ALTER TABLE chat_comments REPLICA IDENTITY FULL;") + + # Add new_chat_messages to Electric publication + op.execute( + """ + DO $$ + BEGIN + IF NOT EXISTS ( + SELECT 1 FROM pg_publication_tables + WHERE pubname = 'electric_publication_default' + AND tablename = 'new_chat_messages' + ) THEN + ALTER PUBLICATION electric_publication_default ADD TABLE new_chat_messages; + END IF; + END + $$; + """ + ) + + # Add chat_comments to Electric publication + op.execute( + """ + DO $$ + BEGIN + IF NOT EXISTS ( + SELECT 1 FROM pg_publication_tables + WHERE pubname = 'electric_publication_default' + AND tablename = 'chat_comments' + ) THEN + ALTER PUBLICATION electric_publication_default ADD TABLE chat_comments; + END IF; + END + $$; + """ + ) + + +def downgrade() -> None: + """Remove live collaboration tables from Electric SQL replication.""" + op.execute( + """ + DO $$ + BEGIN + IF EXISTS ( + SELECT 1 FROM pg_publication_tables + WHERE pubname = 'electric_publication_default' + AND tablename = 'new_chat_messages' + ) THEN + ALTER PUBLICATION electric_publication_default DROP TABLE new_chat_messages; + END IF; + END + $$; + """ + ) + + op.execute( + """ + DO $$ + BEGIN + IF EXISTS ( + SELECT 1 FROM pg_publication_tables + WHERE pubname = 'electric_publication_default' + AND tablename = 'chat_comments' + ) THEN + ALTER PUBLICATION electric_publication_default DROP TABLE chat_comments; + END IF; + END + $$; + """ + ) + + # Note: Not reverting REPLICA IDENTITY as it doesn't harm normal operations diff --git a/surfsense_backend/alembic/versions/77_add_thread_id_to_chat_comments.py b/surfsense_backend/alembic/versions/77_add_thread_id_to_chat_comments.py new file mode 100644 index 000000000..86886eacf --- /dev/null +++ b/surfsense_backend/alembic/versions/77_add_thread_id_to_chat_comments.py @@ -0,0 +1,70 @@ +"""Add thread_id to chat_comments for denormalized Electric subscriptions + +This denormalization allows a single Electric SQL subscription per thread +instead of one per message, significantly reducing connection overhead. + +Revision ID: 77 +Revises: 76 +""" + +from collections.abc import Sequence + +from alembic import op + +revision: str = "77" +down_revision: str | None = "76" +branch_labels: str | Sequence[str] | None = None +depends_on: str | Sequence[str] | None = None + + +def upgrade() -> None: + """Add thread_id column to chat_comments and backfill from messages.""" + # Add the column (nullable initially for backfill) + op.execute( + """ + ALTER TABLE chat_comments + ADD COLUMN IF NOT EXISTS thread_id INTEGER; + """ + ) + + # Backfill thread_id from the related message + op.execute( + """ + UPDATE chat_comments c + SET thread_id = m.thread_id + FROM new_chat_messages m + WHERE c.message_id = m.id + AND c.thread_id IS NULL; + """ + ) + + # Make it NOT NULL after backfill + op.execute( + """ + ALTER TABLE chat_comments + ALTER COLUMN thread_id SET NOT NULL; + """ + ) + + # Add FK constraint + op.execute( + """ + ALTER TABLE chat_comments + ADD CONSTRAINT fk_chat_comments_thread_id + FOREIGN KEY (thread_id) REFERENCES new_chat_threads(id) ON DELETE CASCADE; + """ + ) + + # Add index for efficient Electric subscriptions by thread + op.execute( + "CREATE INDEX IF NOT EXISTS idx_chat_comments_thread_id ON chat_comments(thread_id)" + ) + + +def downgrade() -> None: + """Remove thread_id column from chat_comments.""" + op.execute("DROP INDEX IF EXISTS idx_chat_comments_thread_id") + op.execute( + "ALTER TABLE chat_comments DROP CONSTRAINT IF EXISTS fk_chat_comments_thread_id" + ) + op.execute("ALTER TABLE chat_comments DROP COLUMN IF EXISTS thread_id") diff --git a/surfsense_backend/app/agents/new_chat/chat_deepagent.py b/surfsense_backend/app/agents/new_chat/chat_deepagent.py index 9675521f5..5bc6ac2e2 100644 --- a/surfsense_backend/app/agents/new_chat/chat_deepagent.py +++ b/surfsense_backend/app/agents/new_chat/chat_deepagent.py @@ -34,6 +34,7 @@ async def create_surfsense_deep_agent( db_session: AsyncSession, connector_service: ConnectorService, checkpointer: Checkpointer, + user_id: str | None = None, agent_config: AgentConfig | None = None, enabled_tools: list[str] | None = None, disabled_tools: list[str] | None = None, @@ -49,6 +50,8 @@ async def create_surfsense_deep_agent( - link_preview: Fetch rich previews for URLs - display_image: Display images in chat - scrape_webpage: Extract content from webpages + - save_memory: Store facts/preferences about the user + - recall_memory: Retrieve relevant user memories The agent also includes TodoListMiddleware by default (via create_deep_agent) which provides: - write_todos: Create and update planning/todo lists for complex tasks @@ -64,6 +67,7 @@ async def create_surfsense_deep_agent( connector_service: Initialized connector service for knowledge base search checkpointer: LangGraph checkpointer for conversation state persistence. Use AsyncPostgresSaver for production or MemorySaver for testing. + user_id: The current user's UUID string (required for memory tools) agent_config: Optional AgentConfig from NewLLMConfig for prompt configuration. If None, uses default system prompt with citations enabled. enabled_tools: Explicit list of tool names to enable. If None, all default tools @@ -118,6 +122,7 @@ async def create_surfsense_deep_agent( "db_session": db_session, "connector_service": connector_service, "firecrawl_api_key": firecrawl_api_key, + "user_id": user_id, # Required for memory tools } # Build tools using the async registry (includes MCP tools) diff --git a/surfsense_backend/app/agents/new_chat/system_prompt.py b/surfsense_backend/app/agents/new_chat/system_prompt.py index 76429a830..d8202a8b0 100644 --- a/surfsense_backend/app/agents/new_chat/system_prompt.py +++ b/surfsense_backend/app/agents/new_chat/system_prompt.py @@ -116,6 +116,45 @@ You have access to the following tools: * This makes your response more visual and engaging. * Prioritize showing: diagrams, charts, infographics, key illustrations, or images that help explain the content. * Don't show every image - just the most relevant 1-3 images that enhance understanding. + +6. save_memory: Save facts, preferences, or context about the user for personalized responses. + - Use this when the user explicitly or implicitly shares information worth remembering. + - Trigger scenarios: + * User says "remember this", "keep this in mind", "note that", or similar + * User shares personal preferences (e.g., "I prefer Python over JavaScript") + * User shares facts about themselves (e.g., "I'm a senior developer at Company X") + * User gives standing instructions (e.g., "always respond in bullet points") + * User shares project context (e.g., "I'm working on migrating our codebase to TypeScript") + - Args: + - content: The fact/preference to remember. Phrase it clearly: + * "User prefers dark mode for all interfaces" + * "User is a senior Python developer" + * "User wants responses in bullet point format" + * "User is working on project called ProjectX" + - category: Type of memory: + * "preference": User preferences (coding style, tools, formats) + * "fact": Facts about the user (role, expertise, background) + * "instruction": Standing instructions (response format, communication style) + * "context": Current context (ongoing projects, goals, challenges) + - Returns: Confirmation of saved memory + - IMPORTANT: Only save information that would be genuinely useful for future conversations. + Don't save trivial or temporary information. + +7. recall_memory: Retrieve relevant memories about the user for personalized responses. + - Use this to access stored information about the user. + - Trigger scenarios: + * You need user context to give a better, more personalized answer + * User references something they mentioned before + * User asks "what do you know about me?" or similar + * Personalization would significantly improve response quality + * Before making recommendations that should consider user preferences + - Args: + - query: Optional search query to find specific memories (e.g., "programming preferences") + - category: Optional filter by category ("preference", "fact", "instruction", "context") + - top_k: Number of memories to retrieve (default: 5) + - Returns: Relevant memories formatted as context + - IMPORTANT: Use the recalled memories naturally in your response without explicitly + stating "Based on your memory..." - integrate the context seamlessly. - User: "How do I install SurfSense?" @@ -136,6 +175,23 @@ You have access to the following tools: - User: "What did I discuss on Slack last week about the React migration?" - Call: `search_knowledge_base(query="React migration", connectors_to_search=["SLACK_CONNECTOR"], start_date="YYYY-MM-DD", end_date="YYYY-MM-DD")` +- User: "Remember that I prefer TypeScript over JavaScript" + - Call: `save_memory(content="User prefers TypeScript over JavaScript for development", category="preference")` + +- User: "I'm a data scientist working on ML pipelines" + - Call: `save_memory(content="User is a data scientist working on ML pipelines", category="fact")` + +- User: "Always give me code examples in Python" + - Call: `save_memory(content="User wants code examples to be written in Python", category="instruction")` + +- User: "What programming language should I use for this project?" + - First recall: `recall_memory(query="programming language preferences")` + - Then provide a personalized recommendation based on their preferences + +- User: "What do you know about me?" + - Call: `recall_memory(top_k=10)` + - Then summarize the stored memories + - User: "Give me a podcast about AI trends based on what we discussed" - First search for relevant content, then call: `generate_podcast(source_content="Based on our conversation and search results: [detailed summary of chat + search findings]", podcast_title="AI Trends Podcast")` diff --git a/surfsense_backend/app/agents/new_chat/tools/__init__.py b/surfsense_backend/app/agents/new_chat/tools/__init__.py index b531d9b4d..acbdbcb3a 100644 --- a/surfsense_backend/app/agents/new_chat/tools/__init__.py +++ b/surfsense_backend/app/agents/new_chat/tools/__init__.py @@ -11,6 +11,8 @@ Available tools: - link_preview: Fetch rich previews for URLs - display_image: Display images in chat - scrape_webpage: Extract content from webpages +- save_memory: Store facts/preferences about the user +- recall_memory: Retrieve relevant user memories """ # Registry exports @@ -33,6 +35,7 @@ from .registry import ( ) from .scrape_webpage import create_scrape_webpage_tool from .search_surfsense_docs import create_search_surfsense_docs_tool +from .user_memory import create_recall_memory_tool, create_save_memory_tool __all__ = [ # Registry @@ -43,6 +46,8 @@ __all__ = [ "create_display_image_tool", "create_generate_podcast_tool", "create_link_preview_tool", + "create_recall_memory_tool", + "create_save_memory_tool", "create_scrape_webpage_tool", "create_search_knowledge_base_tool", "create_search_surfsense_docs_tool", diff --git a/surfsense_backend/app/agents/new_chat/tools/registry.py b/surfsense_backend/app/agents/new_chat/tools/registry.py index 6873f864c..e4ce7a6b7 100644 --- a/surfsense_backend/app/agents/new_chat/tools/registry.py +++ b/surfsense_backend/app/agents/new_chat/tools/registry.py @@ -50,6 +50,7 @@ from .mcp_tool import load_mcp_tools from .podcast import create_generate_podcast_tool from .scrape_webpage import create_scrape_webpage_tool from .search_surfsense_docs import create_search_surfsense_docs_tool +from .user_memory import create_recall_memory_tool, create_save_memory_tool # ============================================================================= # Tool Definition @@ -138,6 +139,31 @@ BUILTIN_TOOLS: list[ToolDefinition] = [ requires=["db_session"], ), # ========================================================================= + # USER MEMORY TOOLS - Claude-like memory feature + # ========================================================================= + # Save memory tool - stores facts/preferences about the user + ToolDefinition( + name="save_memory", + description="Save facts, preferences, or context about the user for personalized responses", + factory=lambda deps: create_save_memory_tool( + user_id=deps["user_id"], + search_space_id=deps["search_space_id"], + db_session=deps["db_session"], + ), + requires=["user_id", "search_space_id", "db_session"], + ), + # Recall memory tool - retrieves relevant user memories + ToolDefinition( + name="recall_memory", + description="Recall user memories for personalized and contextual responses", + factory=lambda deps: create_recall_memory_tool( + user_id=deps["user_id"], + search_space_id=deps["search_space_id"], + db_session=deps["db_session"], + ), + requires=["user_id", "search_space_id", "db_session"], + ), + # ========================================================================= # ADD YOUR CUSTOM TOOLS BELOW # ========================================================================= # Example: diff --git a/surfsense_backend/app/agents/new_chat/tools/user_memory.py b/surfsense_backend/app/agents/new_chat/tools/user_memory.py new file mode 100644 index 000000000..23a0b8666 --- /dev/null +++ b/surfsense_backend/app/agents/new_chat/tools/user_memory.py @@ -0,0 +1,352 @@ +""" +User memory tools for the SurfSense agent. + +This module provides tools for storing and retrieving user memories, +enabling personalized AI responses similar to Claude's memory feature. + +Features: +- save_memory: Store facts, preferences, and context about the user +- recall_memory: Retrieve relevant memories using semantic search +""" + +import logging +from typing import Any +from uuid import UUID + +from langchain_core.tools import tool +from sqlalchemy import select +from sqlalchemy.ext.asyncio import AsyncSession + +from app.config import config +from app.db import MemoryCategory, UserMemory + +logger = logging.getLogger(__name__) + + +# ============================================================================= +# Constants +# ============================================================================= + +# Default number of memories to retrieve +DEFAULT_RECALL_TOP_K = 5 + +# Maximum number of memories per user (to prevent unbounded growth) +MAX_MEMORIES_PER_USER = 100 + + +# ============================================================================= +# Helper Functions +# ============================================================================= + + +def _to_uuid(user_id: str) -> UUID: + """Convert a string user_id to a UUID object.""" + if isinstance(user_id, UUID): + return user_id + return UUID(user_id) + + +async def get_user_memory_count( + db_session: AsyncSession, + user_id: str, + search_space_id: int | None = None, +) -> int: + """Get the count of memories for a user.""" + uuid_user_id = _to_uuid(user_id) + query = select(UserMemory).where(UserMemory.user_id == uuid_user_id) + if search_space_id is not None: + query = query.where( + (UserMemory.search_space_id == search_space_id) + | (UserMemory.search_space_id.is_(None)) + ) + result = await db_session.execute(query) + return len(result.scalars().all()) + + +async def delete_oldest_memory( + db_session: AsyncSession, + user_id: str, + search_space_id: int | None = None, +) -> None: + """Delete the oldest memory for a user to make room for new ones.""" + uuid_user_id = _to_uuid(user_id) + query = ( + select(UserMemory) + .where(UserMemory.user_id == uuid_user_id) + .order_by(UserMemory.updated_at.asc()) + .limit(1) + ) + if search_space_id is not None: + query = query.where( + (UserMemory.search_space_id == search_space_id) + | (UserMemory.search_space_id.is_(None)) + ) + result = await db_session.execute(query) + oldest_memory = result.scalars().first() + if oldest_memory: + await db_session.delete(oldest_memory) + await db_session.commit() + + +def format_memories_for_context(memories: list[dict[str, Any]]) -> str: + """Format retrieved memories into a readable context string for the LLM.""" + if not memories: + return "No relevant memories found for this user." + + parts = [""] + for memory in memories: + category = memory.get("category", "unknown") + text = memory.get("memory_text", "") + updated = memory.get("updated_at", "") + parts.append( + f" {text}" + ) + parts.append("") + + return "\n".join(parts) + + +# ============================================================================= +# Tool Factory Functions +# ============================================================================= + + +def create_save_memory_tool( + user_id: str, + search_space_id: int, + db_session: AsyncSession, +): + """ + Factory function to create the save_memory tool. + + Args: + user_id: The user's UUID + search_space_id: The search space ID (for space-specific memories) + db_session: Database session for executing queries + + Returns: + A configured tool function for saving user memories + """ + + @tool + async def save_memory( + content: str, + category: str = "fact", + ) -> dict[str, Any]: + """ + Save a fact, preference, or context about the user for future reference. + + Use this tool when: + - User explicitly says "remember this", "keep this in mind", or similar + - User shares personal preferences (e.g., "I prefer Python over JavaScript") + - User shares important facts about themselves (name, role, interests, projects) + - User gives standing instructions (e.g., "always respond in bullet points") + - User shares relevant context (e.g., "I'm working on project X") + + The saved information will be available in future conversations to provide + more personalized and contextual responses. + + Args: + content: The fact/preference/context to remember. + Phrase it clearly, e.g., "User prefers dark mode", + "User is a senior Python developer", "User is working on an AI project" + category: Type of memory. One of: + - "preference": User preferences (e.g., coding style, tools, formats) + - "fact": Facts about the user (e.g., name, role, expertise) + - "instruction": Standing instructions (e.g., response format preferences) + - "context": Current context (e.g., ongoing projects, goals) + + Returns: + A dictionary with the save status and memory details + """ + # Normalize and validate category (LLMs may send uppercase) + category = category.lower() if category else "fact" + valid_categories = ["preference", "fact", "instruction", "context"] + if category not in valid_categories: + category = "fact" + + try: + # Convert user_id to UUID + uuid_user_id = _to_uuid(user_id) + + # Check if we've hit the memory limit + memory_count = await get_user_memory_count( + db_session, user_id, search_space_id + ) + if memory_count >= MAX_MEMORIES_PER_USER: + # Delete oldest memory to make room + await delete_oldest_memory(db_session, user_id, search_space_id) + + # Generate embedding for the memory + embedding = config.embedding_model_instance.embed(content) + + # Create new memory using ORM + # The pgvector Vector column type handles embedding conversion automatically + new_memory = UserMemory( + user_id=uuid_user_id, + search_space_id=search_space_id, + memory_text=content, + category=MemoryCategory(category), # Convert string to enum + embedding=embedding, # Pass embedding directly (list or numpy array) + ) + + db_session.add(new_memory) + await db_session.commit() + await db_session.refresh(new_memory) + + return { + "status": "saved", + "memory_id": new_memory.id, + "memory_text": content, + "category": category, + "message": f"I'll remember: {content}", + } + + except Exception as e: + logger.exception(f"Failed to save memory for user {user_id}: {e}") + # Rollback the session to clear any failed transaction state + await db_session.rollback() + return { + "status": "error", + "error": str(e), + "message": "Failed to save memory. Please try again.", + } + + return save_memory + + +def create_recall_memory_tool( + user_id: str, + search_space_id: int, + db_session: AsyncSession, +): + """ + Factory function to create the recall_memory tool. + + Args: + user_id: The user's UUID + search_space_id: The search space ID + db_session: Database session for executing queries + + Returns: + A configured tool function for recalling user memories + """ + + @tool + async def recall_memory( + query: str | None = None, + category: str | None = None, + top_k: int = DEFAULT_RECALL_TOP_K, + ) -> dict[str, Any]: + """ + Recall relevant memories about the user to provide personalized responses. + + Use this tool when: + - You need user context to give a better, more personalized answer + - User asks about their preferences or past information they shared + - User references something they told you before + - Personalization would significantly improve the response quality + - User asks "what do you know about me?" or similar + + Args: + query: Optional search query to find specific memories. + If not provided, returns the most recent memories. + Example: "programming preferences", "current projects" + category: Optional category filter. One of: + "preference", "fact", "instruction", "context" + If not provided, searches all categories. + top_k: Number of memories to retrieve (default: 5, max: 20) + + Returns: + A dictionary containing relevant memories and formatted context + """ + top_k = min(max(top_k, 1), 20) # Clamp between 1 and 20 + + try: + # Convert user_id to UUID + uuid_user_id = _to_uuid(user_id) + + if query: + # Semantic search using embeddings + query_embedding = config.embedding_model_instance.embed(query) + + # Build query with vector similarity + stmt = ( + select(UserMemory) + .where(UserMemory.user_id == uuid_user_id) + .where( + (UserMemory.search_space_id == search_space_id) + | (UserMemory.search_space_id.is_(None)) + ) + ) + + # Add category filter if specified + if category and category in [ + "preference", + "fact", + "instruction", + "context", + ]: + stmt = stmt.where(UserMemory.category == MemoryCategory(category)) + + # Order by vector similarity + stmt = stmt.order_by( + UserMemory.embedding.op("<=>")(query_embedding) + ).limit(top_k) + + else: + # No query - return most recent memories + stmt = ( + select(UserMemory) + .where(UserMemory.user_id == uuid_user_id) + .where( + (UserMemory.search_space_id == search_space_id) + | (UserMemory.search_space_id.is_(None)) + ) + ) + + # Add category filter if specified + if category and category in [ + "preference", + "fact", + "instruction", + "context", + ]: + stmt = stmt.where(UserMemory.category == MemoryCategory(category)) + + stmt = stmt.order_by(UserMemory.updated_at.desc()).limit(top_k) + + result = await db_session.execute(stmt) + memories = result.scalars().all() + + # Format memories for response + memory_list = [ + { + "id": m.id, + "memory_text": m.memory_text, + "category": m.category.value if m.category else "unknown", + "updated_at": m.updated_at.isoformat() if m.updated_at else None, + } + for m in memories + ] + + formatted_context = format_memories_for_context(memory_list) + + return { + "status": "success", + "count": len(memory_list), + "memories": memory_list, + "formatted_context": formatted_context, + } + + except Exception as e: + logger.exception(f"Failed to recall memories for user {user_id}: {e}") + await db_session.rollback() + return { + "status": "error", + "error": str(e), + "memories": [], + "formatted_context": "Failed to recall memories.", + } + + return recall_memory diff --git a/surfsense_backend/app/config/__init__.py b/surfsense_backend/app/config/__init__.py index 448e2c253..71ef9c965 100644 --- a/surfsense_backend/app/config/__init__.py +++ b/surfsense_backend/app/config/__init__.py @@ -127,6 +127,12 @@ class Config: CLICKUP_CLIENT_SECRET = os.getenv("CLICKUP_CLIENT_SECRET") CLICKUP_REDIRECT_URI = os.getenv("CLICKUP_REDIRECT_URI") + # Composio Configuration (for managed OAuth integrations) + # Get your API key from https://app.composio.dev + COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY") + COMPOSIO_ENABLED = os.getenv("COMPOSIO_ENABLED", "FALSE").upper() == "TRUE" + COMPOSIO_REDIRECT_URI = os.getenv("COMPOSIO_REDIRECT_URI") + # LLM instances are now managed per-user through the LLMConfig system # Legacy environment variables removed in favor of user-specific configurations diff --git a/surfsense_backend/app/connectors/composio_connector.py b/surfsense_backend/app/connectors/composio_connector.py new file mode 100644 index 000000000..fdf57d8ea --- /dev/null +++ b/surfsense_backend/app/connectors/composio_connector.py @@ -0,0 +1,390 @@ +""" +Composio Connector Module. + +Provides a unified interface for interacting with various services via Composio, +primarily used during indexing operations. +""" + +import logging +from typing import Any + +from sqlalchemy.ext.asyncio import AsyncSession +from sqlalchemy.future import select + +from app.db import SearchSourceConnector +from app.services.composio_service import INDEXABLE_TOOLKITS, ComposioService + +logger = logging.getLogger(__name__) + + +class ComposioConnector: + """ + Generic Composio connector for data retrieval. + + Wraps the ComposioService to provide toolkit-specific data access + for indexing operations. + """ + + def __init__( + self, + session: AsyncSession, + connector_id: int, + ): + """ + Initialize the Composio connector. + + Args: + session: Database session for updating connector. + connector_id: ID of the SearchSourceConnector. + """ + self._session = session + self._connector_id = connector_id + self._service: ComposioService | None = None + self._connector: SearchSourceConnector | None = None + self._config: dict[str, Any] | None = None + + async def _load_connector(self) -> SearchSourceConnector: + """Load connector from database.""" + if self._connector is None: + result = await self._session.execute( + select(SearchSourceConnector).filter( + SearchSourceConnector.id == self._connector_id + ) + ) + self._connector = result.scalars().first() + if not self._connector: + raise ValueError(f"Connector {self._connector_id} not found") + self._config = self._connector.config or {} + return self._connector + + async def _get_service(self) -> ComposioService: + """Get or create the Composio service instance.""" + if self._service is None: + self._service = ComposioService() + return self._service + + async def get_config(self) -> dict[str, Any]: + """Get the connector configuration.""" + await self._load_connector() + return self._config or {} + + async def get_toolkit_id(self) -> str: + """Get the toolkit ID for this connector.""" + config = await self.get_config() + return config.get("toolkit_id", "") + + async def get_connected_account_id(self) -> str | None: + """Get the Composio connected account ID.""" + config = await self.get_config() + return config.get("composio_connected_account_id") + + async def get_entity_id(self) -> str: + """Get the Composio entity ID (user identifier).""" + await self._load_connector() + # Entity ID is constructed from the connector's user_id + return f"surfsense_{self._connector.user_id}" + + async def is_indexable(self) -> bool: + """Check if this connector's toolkit supports indexing.""" + toolkit_id = await self.get_toolkit_id() + return toolkit_id in INDEXABLE_TOOLKITS + + # ===== Google Drive Methods ===== + + async def list_drive_files( + self, + folder_id: str | None = None, + page_token: str | None = None, + page_size: int = 100, + ) -> tuple[list[dict[str, Any]], str | None, str | None]: + """ + List files from Google Drive via Composio. + + Args: + folder_id: Optional folder ID to list contents of. + page_token: Pagination token. + page_size: Number of files per page. + + Returns: + Tuple of (files list, next_page_token, error message). + """ + connected_account_id = await self.get_connected_account_id() + if not connected_account_id: + return [], None, "No connected account ID found" + + entity_id = await self.get_entity_id() + service = await self._get_service() + return await service.get_drive_files( + connected_account_id=connected_account_id, + entity_id=entity_id, + folder_id=folder_id, + page_token=page_token, + page_size=page_size, + ) + + async def get_drive_file_content( + self, file_id: str + ) -> tuple[bytes | None, str | None]: + """ + Download file content from Google Drive via Composio. + + Args: + file_id: Google Drive file ID. + + Returns: + Tuple of (file content bytes, error message). + """ + connected_account_id = await self.get_connected_account_id() + if not connected_account_id: + return None, "No connected account ID found" + + entity_id = await self.get_entity_id() + service = await self._get_service() + return await service.get_drive_file_content( + connected_account_id=connected_account_id, + entity_id=entity_id, + file_id=file_id, + ) + + # ===== Gmail Methods ===== + + async def list_gmail_messages( + self, + query: str = "", + max_results: int = 100, + ) -> tuple[list[dict[str, Any]], str | None]: + """ + List Gmail messages via Composio. + + Args: + query: Gmail search query. + max_results: Maximum number of messages. + + Returns: + Tuple of (messages list, error message). + """ + connected_account_id = await self.get_connected_account_id() + if not connected_account_id: + return [], "No connected account ID found" + + entity_id = await self.get_entity_id() + service = await self._get_service() + return await service.get_gmail_messages( + connected_account_id=connected_account_id, + entity_id=entity_id, + query=query, + max_results=max_results, + ) + + async def get_gmail_message_detail( + self, message_id: str + ) -> tuple[dict[str, Any] | None, str | None]: + """ + Get full details of a Gmail message via Composio. + + Args: + message_id: Gmail message ID. + + Returns: + Tuple of (message details, error message). + """ + connected_account_id = await self.get_connected_account_id() + if not connected_account_id: + return None, "No connected account ID found" + + entity_id = await self.get_entity_id() + service = await self._get_service() + return await service.get_gmail_message_detail( + connected_account_id=connected_account_id, + entity_id=entity_id, + message_id=message_id, + ) + + # ===== Google Calendar Methods ===== + + async def list_calendar_events( + self, + time_min: str | None = None, + time_max: str | None = None, + max_results: int = 250, + ) -> tuple[list[dict[str, Any]], str | None]: + """ + List Google Calendar events via Composio. + + Args: + time_min: Start time (RFC3339 format). + time_max: End time (RFC3339 format). + max_results: Maximum number of events. + + Returns: + Tuple of (events list, error message). + """ + connected_account_id = await self.get_connected_account_id() + if not connected_account_id: + return [], "No connected account ID found" + + entity_id = await self.get_entity_id() + service = await self._get_service() + return await service.get_calendar_events( + connected_account_id=connected_account_id, + entity_id=entity_id, + time_min=time_min, + time_max=time_max, + max_results=max_results, + ) + + # ===== Utility Methods ===== + + def format_gmail_message_to_markdown(self, message: dict[str, Any]) -> str: + """ + Format a Gmail message to markdown. + + Args: + message: Message object from Composio's GMAIL_FETCH_EMAILS response. + Composio structure: messageId, messageText, messageTimestamp, + payload.headers, labelIds, attachmentList + + Returns: + Formatted markdown string. + """ + try: + # Composio uses 'messageId' (camelCase) + message_id = message.get("messageId", "") or message.get("id", "") + label_ids = message.get("labelIds", []) + + # Extract headers from payload + payload = message.get("payload", {}) + headers = payload.get("headers", []) + + # Parse headers into a dict + header_dict = {} + for header in headers: + name = header.get("name", "").lower() + value = header.get("value", "") + header_dict[name] = value + + # Extract key information + subject = header_dict.get("subject", "No Subject") + from_email = header_dict.get("from", "Unknown Sender") + to_email = header_dict.get("to", "Unknown Recipient") + # Composio provides messageTimestamp directly + date_str = message.get("messageTimestamp", "") or header_dict.get( + "date", "Unknown Date" + ) + + # Build markdown content + markdown_content = f"# {subject}\n\n" + markdown_content += f"**From:** {from_email}\n" + markdown_content += f"**To:** {to_email}\n" + markdown_content += f"**Date:** {date_str}\n" + + if label_ids: + markdown_content += f"**Labels:** {', '.join(label_ids)}\n" + + markdown_content += "\n---\n\n" + + # Composio provides full message text in 'messageText' + message_text = message.get("messageText", "") + if message_text: + markdown_content += f"## Content\n\n{message_text}\n\n" + else: + # Fallback to snippet if no messageText + snippet = message.get("snippet", "") + if snippet: + markdown_content += f"## Preview\n\n{snippet}\n\n" + + # Add attachment info if present + attachments = message.get("attachmentList", []) + if attachments: + markdown_content += "## Attachments\n\n" + for att in attachments: + att_name = att.get("filename", att.get("name", "Unknown")) + markdown_content += f"- {att_name}\n" + markdown_content += "\n" + + # Add message metadata + markdown_content += "## Message Details\n\n" + markdown_content += f"- **Message ID:** {message_id}\n" + + return markdown_content + + except Exception as e: + return f"Error formatting message to markdown: {e!s}" + + def format_calendar_event_to_markdown(self, event: dict[str, Any]) -> str: + """ + Format a Google Calendar event to markdown. + + Args: + event: Event object from Google Calendar API. + + Returns: + Formatted markdown string. + """ + from datetime import datetime + + try: + # Extract basic event information + summary = event.get("summary", "No Title") + description = event.get("description", "") + location = event.get("location", "") + + # Extract start and end times + start = event.get("start", {}) + end = event.get("end", {}) + + start_time = start.get("dateTime") or start.get("date", "") + end_time = end.get("dateTime") or end.get("date", "") + + # Format times for display + def format_time(time_str: str) -> str: + if not time_str: + return "Unknown" + try: + if "T" in time_str: + dt = datetime.fromisoformat(time_str.replace("Z", "+00:00")) + return dt.strftime("%Y-%m-%d %H:%M") + return time_str + except Exception: + return time_str + + start_formatted = format_time(start_time) + end_formatted = format_time(end_time) + + # Extract attendees + attendees = event.get("attendees", []) + attendee_list = [] + for attendee in attendees: + email = attendee.get("email", "") + display_name = attendee.get("displayName", email) + response_status = attendee.get("responseStatus", "") + attendee_list.append(f"- {display_name} ({response_status})") + + # Build markdown content + markdown_content = f"# {summary}\n\n" + markdown_content += f"**Start:** {start_formatted}\n" + markdown_content += f"**End:** {end_formatted}\n" + + if location: + markdown_content += f"**Location:** {location}\n" + + markdown_content += "\n" + + if description: + markdown_content += f"## Description\n\n{description}\n\n" + + if attendee_list: + markdown_content += "## Attendees\n\n" + markdown_content += "\n".join(attendee_list) + markdown_content += "\n\n" + + # Add event metadata + markdown_content += "## Event Details\n\n" + markdown_content += f"- **Event ID:** {event.get('id', 'Unknown')}\n" + markdown_content += f"- **Created:** {event.get('created', 'Unknown')}\n" + markdown_content += f"- **Updated:** {event.get('updated', 'Unknown')}\n" + + return markdown_content + + except Exception as e: + return f"Error formatting event to markdown: {e!s}" diff --git a/surfsense_backend/app/connectors/github_connector.py b/surfsense_backend/app/connectors/github_connector.py index 647856c6f..9d4b98c4b 100644 --- a/surfsense_backend/app/connectors/github_connector.py +++ b/surfsense_backend/app/connectors/github_connector.py @@ -1,296 +1,250 @@ -import base64 -import logging -from typing import Any +""" +GitHub connector using gitingest CLI for efficient repository digestion. -from github3 import exceptions as github_exceptions, login as github_login -from github3.exceptions import ForbiddenError, NotFoundError -from github3.repos.contents import Contents +This connector uses subprocess to call gitingest CLI, completely isolating +it from any Python event loop/async complexity that can cause hangs in Celery. +""" + +import logging +import os +import subprocess +import tempfile +from dataclasses import dataclass logger = logging.getLogger(__name__) -# List of common code file extensions to target -CODE_EXTENSIONS = { - ".py", - ".js", - ".jsx", - ".ts", - ".tsx", - ".java", - ".c", - ".cpp", - ".h", - ".hpp", - ".cs", - ".go", - ".rb", - ".php", - ".swift", - ".kt", - ".scala", - ".rs", - ".m", - ".sh", - ".bash", - ".ps1", - ".lua", - ".pl", - ".pm", - ".r", - ".dart", - ".sql", -} +# Maximum file size in bytes (5MB) +MAX_FILE_SIZE = 5 * 1024 * 1024 -# List of common documentation/text file extensions -DOC_EXTENSIONS = { - ".md", - ".txt", - ".rst", - ".adoc", - ".html", - ".htm", - ".xml", - ".json", - ".yaml", - ".yml", - ".toml", -} -# Maximum file size in bytes (e.g., 1MB) -MAX_FILE_SIZE = 1 * 1024 * 1024 +@dataclass +class RepositoryDigest: + """Represents a digested repository from gitingest.""" + + repo_full_name: str + summary: str + tree: str + content: str + branch: str | None = None + + @property + def full_digest(self) -> str: + """Returns the complete digest with tree and content.""" + return f"# Repository: {self.repo_full_name}\n\n## File Structure\n\n{self.tree}\n\n## File Contents\n\n{self.content}" + + @property + def estimated_tokens(self) -> int: + """Rough estimate of tokens (1 token ≈ 4 characters).""" + return len(self.full_digest) // 4 class GitHubConnector: - """Connector for interacting with the GitHub API.""" + """ + Connector for ingesting GitHub repositories using gitingest CLI. - # Directories to skip during file traversal - SKIPPED_DIRS = { - # Version control - ".git", - # Dependencies - "node_modules", - "vendor", - # Build artifacts / Caches - "build", - "dist", - "target", - "__pycache__", - # Virtual environments - "venv", - ".venv", - "env", - # IDE/Editor config - ".vscode", - ".idea", - ".project", - ".settings", - # Temporary / Logs - "tmp", - "logs", - # Add other project-specific irrelevant directories if needed - } + Uses subprocess to run gitingest, which avoids all async/event loop + issues that can occur when mixing gitingest with Celery workers. + """ - def __init__(self, token: str): + def __init__(self, token: str | None = None): """ - Initializes the GitHub connector. + Initialize the GitHub connector. Args: - token: GitHub Personal Access Token (PAT). + token: Optional GitHub Personal Access Token (PAT). + Only required for private repositories. """ - if not token: - raise ValueError("GitHub token cannot be empty.") - try: - self.gh = github_login(token=token) - # Try a simple authenticated call to check token validity - self.gh.me() - logger.info("Successfully authenticated with GitHub API.") - except (github_exceptions.AuthenticationFailed, ForbiddenError) as e: - logger.error(f"GitHub authentication failed: {e}") - raise ValueError("Invalid GitHub token or insufficient permissions.") from e - except Exception as e: - logger.error(f"Failed to initialize GitHub client: {e}") - raise e + self.token = token if token and token.strip() else None + if self.token: + logger.info("GitHub connector initialized with authentication token.") + else: + logger.info( + "GitHub connector initialized without token (public repos only)." + ) - def get_user_repositories(self) -> list[dict[str, Any]]: - """Fetches repositories accessible by the authenticated user.""" - repos_data = [] - try: - # type='owner' fetches repos owned by the user - # type='member' fetches repos the user is a collaborator on (including orgs) - # type='all' fetches both - for repo in self.gh.repositories(type="all", sort="updated"): - repos_data.append( - { - "id": repo.id, - "name": repo.name, - "full_name": repo.full_name, - "private": repo.private, - "url": repo.html_url, - "description": repo.description or "", - "last_updated": repo.updated_at if repo.updated_at else None, - } - ) - logger.info(f"Fetched {len(repos_data)} repositories.") - return repos_data - except Exception as e: - logger.error(f"Failed to fetch GitHub repositories: {e}") - return [] # Return empty list on error - - def get_repository_files( - self, repo_full_name: str, path: str = "" - ) -> list[dict[str, Any]]: + def ingest_repository( + self, + repo_full_name: str, + branch: str | None = None, + max_file_size: int = MAX_FILE_SIZE, + ) -> RepositoryDigest | None: """ - Recursively fetches details of relevant files (code, docs) within a repository path. + Ingest a repository using gitingest CLI via subprocess. + + This approach completely isolates gitingest from Python's event loop, + avoiding any async/Celery conflicts. Args: repo_full_name: The full name of the repository (e.g., 'owner/repo'). - path: The starting path within the repository (default is root). + branch: Optional specific branch or tag to ingest. + max_file_size: Maximum file size in bytes to include. Returns: - A list of dictionaries, each containing file details (path, sha, url, size). - Returns an empty list if the repository or path is not found or on error. + RepositoryDigest or None if ingestion fails. """ - files_list = [] + repo_url = f"https://github.com/{repo_full_name}" + + logger.info(f"Starting gitingest CLI for repository: {repo_full_name}") + try: - owner, repo_name = repo_full_name.split("/") - repo = self.gh.repository(owner, repo_name) - if not repo: - logger.warning(f"Repository '{repo_full_name}' not found.") - return [] - contents = repo.directory_contents( - directory_path=path - ) # Use directory_contents for clarity + # Create a temporary file for output + with tempfile.NamedTemporaryFile( + mode="w", suffix=".txt", delete=False + ) as tmp_file: + output_path = tmp_file.name - # contents returns a list of tuples (name, content_obj) - for _item_name, content_item in contents: - if not isinstance(content_item, Contents): - continue + # Build the gitingest CLI command + cmd = [ + "gitingest", + repo_url, + "--output", + output_path, + "--max-size", + str(max_file_size), + # Common exclude patterns + "-e", + "node_modules/*", + "-e", + "vendor/*", + "-e", + ".git/*", + "-e", + "__pycache__/*", + "-e", + "dist/*", + "-e", + "build/*", + "-e", + "*.lock", + "-e", + "package-lock.json", + ] - if content_item.type == "dir": - # Check if the directory name is in the skipped list - if content_item.name in self.SKIPPED_DIRS: - logger.debug(f"Skipping directory: {content_item.path}") - continue # Skip recursion for this directory + # Add branch if specified + if branch: + cmd.extend(["--branch", branch]) - # Recursively fetch contents of subdirectory - files_list.extend( - self.get_repository_files( - repo_full_name, path=content_item.path - ) - ) - elif content_item.type == "file": - # Check if the file extension is relevant and size is within limits - file_extension = ( - "." + content_item.name.split(".")[-1].lower() - if "." in content_item.name - else "" - ) - is_code = file_extension in CODE_EXTENSIONS - is_doc = file_extension in DOC_EXTENSIONS + # Set up environment with token if provided + env = os.environ.copy() + if self.token: + env["GITHUB_TOKEN"] = self.token - if (is_code or is_doc) and content_item.size <= MAX_FILE_SIZE: - files_list.append( - { - "path": content_item.path, - "sha": content_item.sha, - "url": content_item.html_url, - "size": content_item.size, - "type": "code" if is_code else "doc", - } - ) - elif content_item.size > MAX_FILE_SIZE: - logger.debug( - f"Skipping large file: {content_item.path} ({content_item.size} bytes)" - ) - else: - logger.debug( - f"Skipping irrelevant file type: {content_item.path}" - ) + logger.info(f"Running gitingest CLI: {' '.join(cmd[:5])}...") - except (NotFoundError, ForbiddenError) as e: - logger.warning(f"Cannot access path '{path}' in '{repo_full_name}': {e}") - except Exception as e: - logger.error( - f"Failed to get files for {repo_full_name} at path '{path}': {e}" + # Run gitingest as subprocess with timeout + result = subprocess.run( + cmd, + env=env, + capture_output=True, + text=True, + timeout=900, # 5 minute timeout ) - # Return what we have collected so far in case of partial failure - return files_list + if result.returncode != 0: + logger.error(f"gitingest failed: {result.stderr}") + # Clean up temp file + if os.path.exists(output_path): + os.unlink(output_path) + return None - def get_file_content(self, repo_full_name: str, file_path: str) -> str | None: + # Read the output file + if not os.path.exists(output_path): + logger.error("gitingest did not create output file") + return None + + with open(output_path, encoding="utf-8") as f: + full_content = f.read() + + # Clean up temp file + os.unlink(output_path) + + if not full_content or not full_content.strip(): + logger.warning( + f"No content retrieved from repository: {repo_full_name}" + ) + return None + + # Parse the gitingest output + # The output format is: summary + tree + content + # We'll extract what we can + digest = RepositoryDigest( + repo_full_name=repo_full_name, + summary=f"Repository: {repo_full_name}", + tree="", # gitingest CLI combines everything into one file + content=full_content, + branch=branch, + ) + + logger.info( + f"Successfully ingested {repo_full_name}: " + f"~{digest.estimated_tokens} estimated tokens" + ) + return digest + + except subprocess.TimeoutExpired: + logger.error(f"gitingest timed out for repository: {repo_full_name}") + return None + except FileNotFoundError: + logger.error("gitingest CLI not found. Falling back to Python library.") + # Fall back to Python library + return self._ingest_with_python_library( + repo_full_name, branch, max_file_size + ) + except Exception as e: + logger.error(f"Failed to ingest repository {repo_full_name}: {e}") + return None + + def _ingest_with_python_library( + self, + repo_full_name: str, + branch: str | None = None, + max_file_size: int = MAX_FILE_SIZE, + ) -> RepositoryDigest | None: """ - Fetches the decoded content of a specific file. - - Args: - repo_full_name: The full name of the repository (e.g., 'owner/repo'). - file_path: The path to the file within the repository. - - Returns: - The decoded file content as a string, or None if fetching fails or file is too large. + Fallback: Ingest using the Python library directly. """ + from gitingest import ingest + + repo_url = f"https://github.com/{repo_full_name}" + + logger.info(f"Using Python gitingest library for: {repo_full_name}") + try: - owner, repo_name = repo_full_name.split("/") - repo = self.gh.repository(owner, repo_name) - if not repo: - logger.warning( - f"Repository '{repo_full_name}' not found when fetching file '{file_path}'." - ) + kwargs = { + "max_file_size": max_file_size, + "exclude_patterns": [ + "node_modules/*", + "vendor/*", + ".git/*", + "__pycache__/*", + "dist/*", + "build/*", + "*.lock", + "package-lock.json", + ], + "include_gitignored": False, + "include_submodules": False, + } + + if self.token: + kwargs["token"] = self.token + if branch: + kwargs["branch"] = branch + + summary, tree, content = ingest(repo_url, **kwargs) + + if not content or not content.strip(): + logger.warning(f"No content from {repo_full_name}") return None - content_item = repo.file_contents( - path=file_path - ) # Use file_contents for clarity - - if ( - not content_item - or not isinstance(content_item, Contents) - or content_item.type != "file" - ): - logger.warning( - f"File '{file_path}' not found or is not a file in '{repo_full_name}'." - ) - return None - - if content_item.size > MAX_FILE_SIZE: - logger.warning( - f"File '{file_path}' in '{repo_full_name}' exceeds max size ({content_item.size} > {MAX_FILE_SIZE}). Skipping content fetch." - ) - return None - - # Content is base64 encoded - if content_item.content: - try: - decoded_content = base64.b64decode(content_item.content).decode( - "utf-8" - ) - return decoded_content - except UnicodeDecodeError: - logger.warning( - f"Could not decode file '{file_path}' in '{repo_full_name}' as UTF-8. Trying with 'latin-1'." - ) - try: - # Try a fallback encoding - decoded_content = base64.b64decode(content_item.content).decode( - "latin-1" - ) - return decoded_content - except Exception as decode_err: - logger.error( - f"Failed to decode file '{file_path}' with fallback encoding: {decode_err}" - ) - return None # Give up if fallback fails - else: - logger.warning( - f"No content returned for file '{file_path}' in '{repo_full_name}'. It might be empty." - ) - return "" # Return empty string for empty files - - except (NotFoundError, ForbiddenError) as e: - logger.warning( - f"Cannot access file '{file_path}' in '{repo_full_name}': {e}" + return RepositoryDigest( + repo_full_name=repo_full_name, + summary=summary, + tree=tree, + content=content, + branch=branch, ) - return None + except Exception as e: - logger.error( - f"Failed to get content for file '{file_path}' in '{repo_full_name}': {e}" - ) + logger.error(f"Python library failed for {repo_full_name}: {e}") return None diff --git a/surfsense_backend/app/db.py b/surfsense_backend/app/db.py index 38e27ecf2..db04009d2 100644 --- a/surfsense_backend/app/db.py +++ b/surfsense_backend/app/db.py @@ -54,6 +54,7 @@ class DocumentType(str, Enum): BOOKSTACK_CONNECTOR = "BOOKSTACK_CONNECTOR" CIRCLEBACK = "CIRCLEBACK" NOTE = "NOTE" + COMPOSIO_CONNECTOR = "COMPOSIO_CONNECTOR" # Generic Composio integration class SearchSourceConnectorType(str, Enum): @@ -81,6 +82,9 @@ class SearchSourceConnectorType(str, Enum): BOOKSTACK_CONNECTOR = "BOOKSTACK_CONNECTOR" CIRCLEBACK_CONNECTOR = "CIRCLEBACK_CONNECTOR" MCP_CONNECTOR = "MCP_CONNECTOR" # Model Context Protocol - User-defined API tools + COMPOSIO_CONNECTOR = ( + "COMPOSIO_CONNECTOR" # Generic Composio integration (Google, Slack, etc.) + ) class LiteLLMProvider(str, Enum): @@ -413,6 +417,13 @@ class ChatComment(BaseModel, TimestampMixin): nullable=False, index=True, ) + # Denormalized thread_id for efficient Electric SQL subscriptions (one per thread) + thread_id = Column( + Integer, + ForeignKey("new_chat_threads.id", ondelete="CASCADE"), + nullable=False, + index=True, + ) parent_id = Column( Integer, ForeignKey("chat_comments.id", ondelete="CASCADE"), @@ -436,6 +447,7 @@ class ChatComment(BaseModel, TimestampMixin): # Relationships message = relationship("NewChatMessage", back_populates="comments") + thread = relationship("NewChatThread") author = relationship("User") parent = relationship( "ChatComment", remote_side="ChatComment.id", backref="replies" @@ -472,6 +484,98 @@ class ChatCommentMention(BaseModel, TimestampMixin): mentioned_user = relationship("User") +class ChatSessionState(BaseModel): + """ + Tracks real-time session state for shared chat collaboration. + One record per thread, synced via Electric SQL. + """ + + __tablename__ = "chat_session_state" + + thread_id = Column( + Integer, + ForeignKey("new_chat_threads.id", ondelete="CASCADE"), + nullable=False, + unique=True, + index=True, + ) + ai_responding_to_user_id = Column( + UUID(as_uuid=True), + ForeignKey("user.id", ondelete="SET NULL"), + nullable=True, + index=True, + ) + updated_at = Column( + TIMESTAMP(timezone=True), + nullable=False, + default=lambda: datetime.now(UTC), + onupdate=lambda: datetime.now(UTC), + ) + + thread = relationship("NewChatThread") + ai_responding_to_user = relationship("User") + + +class MemoryCategory(str, Enum): + """Categories for user memories.""" + + # Using lowercase keys to match PostgreSQL enum values + preference = "preference" # User preferences (e.g., "prefers dark mode") + fact = "fact" # Facts about the user (e.g., "is a Python developer") + instruction = ( + "instruction" # Standing instructions (e.g., "always respond in bullet points") + ) + context = "context" # Contextual information (e.g., "working on project X") + + +class UserMemory(BaseModel, TimestampMixin): + """ + Stores facts, preferences, and context about users for personalized AI responses. + Similar to Claude's memory feature - enables the AI to remember user information + across conversations. + """ + + __tablename__ = "user_memories" + + user_id = Column( + UUID(as_uuid=True), + ForeignKey("user.id", ondelete="CASCADE"), + nullable=False, + index=True, + ) + # Optional association with a search space (if memory is space-specific) + search_space_id = Column( + Integer, + ForeignKey("searchspaces.id", ondelete="CASCADE"), + nullable=True, + index=True, + ) + + # The actual memory content + memory_text = Column(Text, nullable=False) + # Category for organization and filtering + category = Column( + SQLAlchemyEnum(MemoryCategory), + nullable=False, + default=MemoryCategory.fact, + ) + # Vector embedding for semantic search + embedding = Column(Vector(config.embedding_model_instance.dimension)) + + # Track when memory was last updated + updated_at = Column( + TIMESTAMP(timezone=True), + nullable=False, + default=lambda: datetime.now(UTC), + onupdate=lambda: datetime.now(UTC), + index=True, + ) + + # Relationships + user = relationship("User", back_populates="memories") + search_space = relationship("SearchSpace", back_populates="user_memories") + + class Document(BaseModel, TimestampMixin): __tablename__ = "documents" @@ -659,6 +763,14 @@ class SearchSpace(BaseModel, TimestampMixin): cascade="all, delete-orphan", ) + # User memories associated with this search space + user_memories = relationship( + "UserMemory", + back_populates="search_space", + order_by="UserMemory.updated_at.desc()", + cascade="all, delete-orphan", + ) + class SearchSourceConnector(BaseModel, TimestampMixin): __tablename__ = "search_source_connectors" @@ -967,6 +1079,14 @@ if config.AUTH_TYPE == "GOOGLE": passive_deletes=True, ) + # User memories for personalized AI responses + memories = relationship( + "UserMemory", + back_populates="user", + order_by="UserMemory.updated_at.desc()", + cascade="all, delete-orphan", + ) + # Page usage tracking for ETL services pages_limit = Column( Integer, @@ -1010,6 +1130,14 @@ else: passive_deletes=True, ) + # User memories for personalized AI responses + memories = relationship( + "UserMemory", + back_populates="user", + order_by="UserMemory.updated_at.desc()", + cascade="all, delete-orphan", + ) + # Page usage tracking for ETL services pages_limit = Column( Integer, diff --git a/surfsense_backend/app/routes/__init__.py b/surfsense_backend/app/routes/__init__.py index d3091af59..76bb5101a 100644 --- a/surfsense_backend/app/routes/__init__.py +++ b/surfsense_backend/app/routes/__init__.py @@ -6,6 +6,7 @@ from .airtable_add_connector_route import ( from .chat_comments_routes import router as chat_comments_router from .circleback_webhook_route import router as circleback_webhook_router from .clickup_add_connector_route import router as clickup_add_connector_router +from .composio_routes import router as composio_router from .confluence_add_connector_route import router as confluence_add_connector_router from .discord_add_connector_route import router as discord_add_connector_router from .documents_routes import router as documents_router @@ -65,3 +66,4 @@ router.include_router(logs_router) router.include_router(circleback_webhook_router) # Circleback meeting webhooks router.include_router(surfsense_docs_router) # Surfsense documentation for citations router.include_router(notifications_router) # Notifications with Electric SQL sync +router.include_router(composio_router) # Composio OAuth and toolkit management diff --git a/surfsense_backend/app/routes/composio_routes.py b/surfsense_backend/app/routes/composio_routes.py new file mode 100644 index 000000000..eecbaf598 --- /dev/null +++ b/surfsense_backend/app/routes/composio_routes.py @@ -0,0 +1,341 @@ +""" +Composio Connector OAuth Routes. + +Handles OAuth flow for Composio-based integrations (Google Drive, Gmail, Calendar, etc.). +This provides a single connector that can connect to any Composio toolkit. + +Endpoints: +- GET /composio/toolkits - List available Composio toolkits +- GET /auth/composio/connector/add - Initiate OAuth for a specific toolkit +- GET /auth/composio/connector/callback - Handle OAuth callback +""" + +import logging +from uuid import UUID + +from fastapi import APIRouter, Depends, HTTPException, Query +from fastapi.responses import RedirectResponse +from pydantic import ValidationError +from sqlalchemy.exc import IntegrityError +from sqlalchemy.ext.asyncio import AsyncSession + +from app.config import config +from app.db import ( + SearchSourceConnector, + SearchSourceConnectorType, + User, + get_async_session, +) +from app.services.composio_service import ( + COMPOSIO_TOOLKIT_NAMES, + INDEXABLE_TOOLKITS, + ComposioService, +) +from app.users import current_active_user +from app.utils.connector_naming import ( + check_duplicate_connector, + generate_unique_connector_name, +) +from app.utils.oauth_security import OAuthStateManager + +logger = logging.getLogger(__name__) + +router = APIRouter() + +# Initialize security utilities +_state_manager = None + + +def get_state_manager() -> OAuthStateManager: + """Get or create OAuth state manager instance.""" + global _state_manager + if _state_manager is None: + if not config.SECRET_KEY: + raise ValueError("SECRET_KEY must be set for OAuth security") + _state_manager = OAuthStateManager(config.SECRET_KEY) + return _state_manager + + +@router.get("/composio/toolkits") +async def list_composio_toolkits(user: User = Depends(current_active_user)): + """ + List available Composio toolkits. + + Returns: + JSON with list of available toolkits and their metadata. + """ + if not ComposioService.is_enabled(): + raise HTTPException( + status_code=503, + detail="Composio integration is not enabled. Set COMPOSIO_ENABLED=TRUE and provide COMPOSIO_API_KEY.", + ) + + try: + service = ComposioService() + toolkits = service.list_available_toolkits() + return {"toolkits": toolkits} + except Exception as e: + logger.error(f"Failed to list Composio toolkits: {e!s}") + raise HTTPException( + status_code=500, detail=f"Failed to list toolkits: {e!s}" + ) from e + + +@router.get("/auth/composio/connector/add") +async def initiate_composio_auth( + space_id: int, + toolkit_id: str = Query( + ..., description="Composio toolkit ID (e.g., 'googledrive', 'gmail')" + ), + user: User = Depends(current_active_user), +): + """ + Initiate Composio OAuth flow for a specific toolkit. + + Query params: + space_id: Search space ID to add connector to + toolkit_id: Composio toolkit ID (e.g., "googledrive", "gmail", "googlecalendar") + + Returns: + JSON with auth_url to redirect user to Composio authorization + """ + if not ComposioService.is_enabled(): + raise HTTPException( + status_code=503, + detail="Composio integration is not enabled.", + ) + + if not space_id: + raise HTTPException(status_code=400, detail="space_id is required") + + if toolkit_id not in COMPOSIO_TOOLKIT_NAMES: + raise HTTPException( + status_code=400, + detail=f"Unknown toolkit: {toolkit_id}. Available: {list(COMPOSIO_TOOLKIT_NAMES.keys())}", + ) + + if not config.SECRET_KEY: + raise HTTPException( + status_code=500, detail="SECRET_KEY not configured for OAuth security." + ) + + try: + # Generate secure state parameter with HMAC signature + state_manager = get_state_manager() + state_encoded = state_manager.generate_secure_state( + space_id, user.id, toolkit_id=toolkit_id + ) + + # Build callback URL + callback_url = config.COMPOSIO_REDIRECT_URI + if not callback_url: + # Fallback: construct from BACKEND_URL + backend_url = config.BACKEND_URL or "http://localhost:8000" + callback_url = f"{backend_url}/api/v1/auth/composio/connector/callback" + + # Initiate Composio OAuth + service = ComposioService() + # Use user.id as the entity ID in Composio (converted to string for Composio) + entity_id = f"surfsense_{user.id}" + + connection_result = await service.initiate_connection( + user_id=entity_id, + toolkit_id=toolkit_id, + redirect_uri=f"{callback_url}?state={state_encoded}", + ) + + auth_url = connection_result.get("redirect_url") + if not auth_url: + raise HTTPException( + status_code=500, detail="Failed to get authorization URL from Composio" + ) + + logger.info( + f"Initiating Composio OAuth for user {user.id}, toolkit {toolkit_id}, space {space_id}" + ) + return {"auth_url": auth_url} + + except HTTPException: + raise + except Exception as e: + logger.error(f"Failed to initiate Composio OAuth: {e!s}", exc_info=True) + raise HTTPException( + status_code=500, detail=f"Failed to initiate Composio OAuth: {e!s}" + ) from e + + +@router.get("/auth/composio/connector/callback") +async def composio_callback( + state: str | None = None, + composio_connected_account_id: str | None = Query( + None, alias="connectedAccountId" + ), # Composio sends camelCase + connected_account_id: str | None = None, # Fallback snake_case + error: str | None = None, + session: AsyncSession = Depends(get_async_session), +): + """ + Handle Composio OAuth callback. + + Query params: + state: Encoded state with space_id, user_id, and toolkit_id + connected_account_id: Composio connected account ID (may not be present) + error: OAuth error (if user denied access or error occurred) + + Returns: + Redirect to frontend success page + """ + try: + # Handle OAuth errors + if error: + logger.warning(f"Composio OAuth error: {error}") + space_id = None + if state: + try: + state_manager = get_state_manager() + data = state_manager.validate_state(state) + space_id = data.get("space_id") + except Exception: + logger.warning("Failed to validate state in error handler") + + if space_id: + return RedirectResponse( + url=f"{config.NEXT_FRONTEND_URL}/dashboard/{space_id}/new-chat?modal=connectors&tab=all&error=composio_oauth_denied" + ) + else: + return RedirectResponse( + url=f"{config.NEXT_FRONTEND_URL}/dashboard?error=composio_oauth_denied" + ) + + # Validate required parameters + if not state: + raise HTTPException(status_code=400, detail="Missing state parameter") + + # Validate and decode state with signature verification + state_manager = get_state_manager() + try: + data = state_manager.validate_state(state) + except HTTPException: + raise + except Exception as e: + raise HTTPException( + status_code=400, detail=f"Invalid state parameter: {e!s}" + ) from e + + user_id = UUID(data["user_id"]) + space_id = data["space_id"] + toolkit_id = data.get("toolkit_id") + + if not toolkit_id: + raise HTTPException(status_code=400, detail="Missing toolkit_id in state") + + toolkit_name = COMPOSIO_TOOLKIT_NAMES.get(toolkit_id, toolkit_id) + + logger.info( + f"Processing Composio callback for user {user_id}, toolkit {toolkit_id}, space {space_id}" + ) + + # Initialize Composio service + ComposioService() + + # Use camelCase param if provided (Composio's format), fallback to snake_case + final_connected_account_id = ( + composio_connected_account_id or connected_account_id + ) + + # DEBUG: Log all query parameters received + logger.info( + f"DEBUG: Callback received - connectedAccountId: {composio_connected_account_id}, connected_account_id: {connected_account_id}, using: {final_connected_account_id}" + ) + + # If we still don't have a connected_account_id, warn but continue + # (the connector will be created but indexing won't work until updated) + if not final_connected_account_id: + logger.warning( + f"Could not find connected_account_id for toolkit {toolkit_id}. " + "The connector will be created but indexing may not work." + ) + else: + logger.info( + f"Successfully got connected_account_id: {final_connected_account_id}" + ) + + # Build connector config + connector_config = { + "composio_connected_account_id": final_connected_account_id, + "toolkit_id": toolkit_id, + "toolkit_name": toolkit_name, + "is_indexable": toolkit_id in INDEXABLE_TOOLKITS, + } + + # Check for duplicate connector + # For Composio, we use toolkit_id + connected_account_id as unique identifier + identifier = final_connected_account_id or f"{toolkit_id}_{user_id}" + + is_duplicate = await check_duplicate_connector( + session, + SearchSourceConnectorType.COMPOSIO_CONNECTOR, + space_id, + user_id, + identifier, + ) + if is_duplicate: + logger.warning( + f"Duplicate Composio connector detected for user {user_id} with toolkit {toolkit_id}" + ) + return RedirectResponse( + url=f"{config.NEXT_FRONTEND_URL}/dashboard/{space_id}/new-chat?modal=connectors&tab=all&error=duplicate_account&connector=composio-connector" + ) + + try: + # Generate a unique, user-friendly connector name + connector_name = await generate_unique_connector_name( + session, + SearchSourceConnectorType.COMPOSIO_CONNECTOR, + space_id, + user_id, + f"{toolkit_name} (Composio)", + ) + + db_connector = SearchSourceConnector( + name=connector_name, + connector_type=SearchSourceConnectorType.COMPOSIO_CONNECTOR, + config=connector_config, + search_space_id=space_id, + user_id=user_id, + is_indexable=toolkit_id in INDEXABLE_TOOLKITS, + ) + + session.add(db_connector) + await session.commit() + await session.refresh(db_connector) + + logger.info( + f"Successfully created Composio connector {db_connector.id} for user {user_id}, toolkit {toolkit_id}" + ) + + return RedirectResponse( + url=f"{config.NEXT_FRONTEND_URL}/dashboard/{space_id}/new-chat?modal=connectors&tab=all&success=true&connector=composio-connector&connectorId={db_connector.id}" + ) + + except IntegrityError as e: + await session.rollback() + logger.error(f"Database integrity error: {e!s}") + raise HTTPException( + status_code=409, + detail=f"Database integrity error: {e!s}", + ) from e + except ValidationError as e: + await session.rollback() + logger.error(f"Validation error: {e!s}") + raise HTTPException( + status_code=400, detail=f"Invalid connector configuration: {e!s}" + ) from e + + except HTTPException: + raise + except Exception as e: + logger.error(f"Unexpected error in Composio callback: {e!s}", exc_info=True) + raise HTTPException( + status_code=500, detail=f"Failed to complete Composio OAuth: {e!s}" + ) from e diff --git a/surfsense_backend/app/routes/new_chat_routes.py b/surfsense_backend/app/routes/new_chat_routes.py index 8fddc55c4..25c53b69e 100644 --- a/surfsense_backend/app/routes/new_chat_routes.py +++ b/surfsense_backend/app/routes/new_chat_routes.py @@ -990,6 +990,7 @@ async def handle_new_chat( search_space_id=request.search_space_id, chat_id=request.chat_id, session=session, + user_id=str(user.id), # Pass user ID for memory tools and session state llm_config_id=llm_config_id, attachments=request.attachments, mentioned_document_ids=request.mentioned_document_ids, diff --git a/surfsense_backend/app/routes/notifications_routes.py b/surfsense_backend/app/routes/notifications_routes.py index deee748d8..6bc945643 100644 --- a/surfsense_backend/app/routes/notifications_routes.py +++ b/surfsense_backend/app/routes/notifications_routes.py @@ -1,12 +1,15 @@ """ Notifications API routes. -These endpoints allow marking notifications as read. -Electric SQL automatically syncs the changes to all connected clients. +These endpoints allow marking notifications as read and fetching older notifications. +Electric SQL automatically syncs the changes to all connected clients for recent items. +For older items (beyond the sync window), use the list endpoint. """ -from fastapi import APIRouter, Depends, HTTPException, status +from datetime import UTC, datetime, timedelta + +from fastapi import APIRouter, Depends, HTTPException, Query, status from pydantic import BaseModel -from sqlalchemy import select, update +from sqlalchemy import desc, func, select, update from sqlalchemy.ext.asyncio import AsyncSession from app.db import Notification, User, get_async_session @@ -14,6 +17,36 @@ from app.users import current_active_user router = APIRouter(prefix="/notifications", tags=["notifications"]) +# Must match frontend SYNC_WINDOW_DAYS in use-inbox.ts +SYNC_WINDOW_DAYS = 14 + + +class NotificationResponse(BaseModel): + """Response model for a single notification.""" + + id: int + user_id: str + search_space_id: int | None + type: str + title: str + message: str + read: bool + metadata: dict + created_at: str + updated_at: str | None + + class Config: + from_attributes = True + + +class NotificationListResponse(BaseModel): + """Response for listing notifications with pagination.""" + + items: list[NotificationResponse] + total: int + has_more: bool + next_offset: int | None + class MarkReadResponse(BaseModel): """Response for mark as read operations.""" @@ -30,6 +63,169 @@ class MarkAllReadResponse(BaseModel): updated_count: int +class UnreadCountResponse(BaseModel): + """Response for unread count with split between recent and older items.""" + + total_unread: int + recent_unread: int # Within SYNC_WINDOW_DAYS + + +@router.get("/unread-count", response_model=UnreadCountResponse) +async def get_unread_count( + search_space_id: int | None = Query(None, description="Filter by search space ID"), + user: User = Depends(current_active_user), + session: AsyncSession = Depends(get_async_session), +) -> UnreadCountResponse: + """ + Get the total unread notification count for the current user. + + Returns both: + - total_unread: All unread notifications (for accurate badge count) + - recent_unread: Unread notifications within the sync window (last 14 days) + + This allows the frontend to calculate: + - older_unread = total_unread - recent_unread (static until reconciliation) + - Display count = older_unread + live_recent_count (from Electric SQL) + """ + # Calculate cutoff date for sync window + cutoff_date = datetime.now(UTC) - timedelta(days=SYNC_WINDOW_DAYS) + + # Base filter for user's unread notifications + base_filter = [ + Notification.user_id == user.id, + Notification.read == False, # noqa: E712 + ] + + # Add search space filter if provided (include null for global notifications) + if search_space_id is not None: + base_filter.append( + (Notification.search_space_id == search_space_id) + | (Notification.search_space_id.is_(None)) + ) + + # Total unread count (all time) + total_query = select(func.count(Notification.id)).where(*base_filter) + total_result = await session.execute(total_query) + total_unread = total_result.scalar() or 0 + + # Recent unread count (within sync window) + recent_query = select(func.count(Notification.id)).where( + *base_filter, + Notification.created_at > cutoff_date, + ) + recent_result = await session.execute(recent_query) + recent_unread = recent_result.scalar() or 0 + + return UnreadCountResponse( + total_unread=total_unread, + recent_unread=recent_unread, + ) + + +@router.get("", response_model=NotificationListResponse) +async def list_notifications( + search_space_id: int | None = Query(None, description="Filter by search space ID"), + type_filter: str | None = Query( + None, alias="type", description="Filter by notification type" + ), + before_date: str | None = Query( + None, description="Get notifications before this ISO date (for pagination)" + ), + limit: int = Query(50, ge=1, le=100, description="Number of items to return"), + offset: int = Query(0, ge=0, description="Number of items to skip"), + user: User = Depends(current_active_user), + session: AsyncSession = Depends(get_async_session), +) -> NotificationListResponse: + """ + List notifications for the current user with pagination. + + This endpoint is used as a fallback for older notifications that are + outside the Electric SQL sync window (2 weeks). + + Use `before_date` to paginate through older notifications efficiently. + """ + # Build base query + query = select(Notification).where(Notification.user_id == user.id) + count_query = select(func.count(Notification.id)).where( + Notification.user_id == user.id + ) + + # Filter by search space (include null search_space_id for global notifications) + if search_space_id is not None: + query = query.where( + (Notification.search_space_id == search_space_id) + | (Notification.search_space_id.is_(None)) + ) + count_query = count_query.where( + (Notification.search_space_id == search_space_id) + | (Notification.search_space_id.is_(None)) + ) + + # Filter by type + if type_filter: + query = query.where(Notification.type == type_filter) + count_query = count_query.where(Notification.type == type_filter) + + # Filter by date (for efficient pagination of older items) + if before_date: + try: + before_datetime = datetime.fromisoformat(before_date.replace("Z", "+00:00")) + query = query.where(Notification.created_at < before_datetime) + count_query = count_query.where(Notification.created_at < before_datetime) + except ValueError: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail="Invalid date format. Use ISO format (e.g., 2024-01-15T00:00:00Z)", + ) from None + + # Get total count + total_result = await session.execute(count_query) + total = total_result.scalar() or 0 + + # Apply ordering and pagination + query = ( + query.order_by(desc(Notification.created_at)).offset(offset).limit(limit + 1) + ) + + # Execute query + result = await session.execute(query) + notifications = result.scalars().all() + + # Check if there are more items + has_more = len(notifications) > limit + if has_more: + notifications = notifications[:limit] + + # Convert to response format + items = [] + for notification in notifications: + items.append( + NotificationResponse( + id=notification.id, + user_id=str(notification.user_id), + search_space_id=notification.search_space_id, + type=notification.type, + title=notification.title, + message=notification.message, + read=notification.read, + metadata=notification.notification_metadata or {}, + created_at=notification.created_at.isoformat() + if notification.created_at + else "", + updated_at=notification.updated_at.isoformat() + if notification.updated_at + else None, + ) + ) + + return NotificationListResponse( + items=items, + total=total, + has_more=has_more, + next_offset=offset + limit if has_more else None, + ) + + @router.patch("/{notification_id}/read", response_model=MarkReadResponse) async def mark_notification_as_read( notification_id: int, diff --git a/surfsense_backend/app/routes/search_source_connectors_routes.py b/surfsense_backend/app/routes/search_source_connectors_routes.py index f6319653f..d60d08d57 100644 --- a/surfsense_backend/app/routes/search_source_connectors_routes.py +++ b/surfsense_backend/app/routes/search_source_connectors_routes.py @@ -868,6 +868,19 @@ async def index_connector_content( ) response_message = "Web page indexing started in the background." + elif connector.connector_type == SearchSourceConnectorType.COMPOSIO_CONNECTOR: + from app.tasks.celery_tasks.connector_tasks import ( + index_composio_connector_task, + ) + + logger.info( + f"Triggering Composio connector indexing for connector {connector_id} into search space {search_space_id} from {indexing_from} to {indexing_to}" + ) + index_composio_connector_task.delay( + connector_id, search_space_id, str(user.id), indexing_from, indexing_to + ) + response_message = "Composio connector indexing started in the background." + else: raise HTTPException( status_code=400, diff --git a/surfsense_backend/app/schemas/chat_session_state.py b/surfsense_backend/app/schemas/chat_session_state.py new file mode 100644 index 000000000..6eca0e26f --- /dev/null +++ b/surfsense_backend/app/schemas/chat_session_state.py @@ -0,0 +1,29 @@ +""" +Pydantic schemas for chat session state (live collaboration). +""" + +from datetime import datetime +from uuid import UUID + +from pydantic import BaseModel, ConfigDict + + +class RespondingUser(BaseModel): + """The user that the AI is currently responding to.""" + + id: UUID + display_name: str | None = None + email: str + + model_config = ConfigDict(from_attributes=True) + + +class ChatSessionStateResponse(BaseModel): + """Current session state for a chat thread.""" + + id: int + thread_id: int + responding_to: RespondingUser | None = None + updated_at: datetime + + model_config = ConfigDict(from_attributes=True) diff --git a/surfsense_backend/app/services/chat_comments_service.py b/surfsense_backend/app/services/chat_comments_service.py index fa26bf6d5..dc3b51238 100644 --- a/surfsense_backend/app/services/chat_comments_service.py +++ b/surfsense_backend/app/services/chat_comments_service.py @@ -281,8 +281,10 @@ async def create_comment( detail="You don't have permission to create comments in this search space", ) + thread = message.thread comment = ChatComment( message_id=message_id, + thread_id=thread.id, # Denormalized for efficient Electric subscriptions author_id=user.id, content=content, ) @@ -299,7 +301,6 @@ async def create_comment( user_names = await get_user_names_for_mentions(session, set(mentions_map.keys())) # Create notifications for mentioned users (excluding author) - thread = message.thread author_name = user.display_name or user.email content_preview = render_mentions(content, user_names) for mentioned_user_id, mention_id in mentions_map.items(): @@ -315,6 +316,8 @@ async def create_comment( thread_title=thread.title or "Untitled thread", author_id=str(user.id), author_name=author_name, + author_avatar_url=user.avatar_url, + author_email=user.email, content_preview=content_preview[:200], search_space_id=search_space_id, ) @@ -391,8 +394,10 @@ async def create_reply( detail="You don't have permission to create comments in this search space", ) + thread = parent_comment.message.thread reply = ChatComment( message_id=parent_comment.message_id, + thread_id=thread.id, # Denormalized for efficient Electric subscriptions parent_id=comment_id, author_id=user.id, content=content, @@ -410,7 +415,6 @@ async def create_reply( user_names = await get_user_names_for_mentions(session, set(mentions_map.keys())) # Create notifications for mentioned users (excluding author) - thread = parent_comment.message.thread author_name = user.display_name or user.email content_preview = render_mentions(content, user_names) for mentioned_user_id, mention_id in mentions_map.items(): @@ -426,6 +430,8 @@ async def create_reply( thread_title=thread.title or "Untitled thread", author_id=str(user.id), author_name=author_name, + author_avatar_url=user.avatar_url, + author_email=user.email, content_preview=content_preview[:200], search_space_id=search_space_id, ) @@ -565,6 +571,8 @@ async def update_comment( thread_title=thread.title or "Untitled thread", author_id=str(user.id), author_name=author_name, + author_avatar_url=user.avatar_url, + author_email=user.email, content_preview=content_preview[:200], search_space_id=search_space_id, ) diff --git a/surfsense_backend/app/services/chat_session_state_service.py b/surfsense_backend/app/services/chat_session_state_service.py new file mode 100644 index 000000000..d82fff3a7 --- /dev/null +++ b/surfsense_backend/app/services/chat_session_state_service.py @@ -0,0 +1,65 @@ +""" +Service layer for chat session state (live collaboration). +""" + +from datetime import UTC, datetime +from uuid import UUID + +from sqlalchemy import select +from sqlalchemy.dialects.postgresql import insert +from sqlalchemy.ext.asyncio import AsyncSession +from sqlalchemy.orm import selectinload + +from app.db import ChatSessionState + + +async def get_session_state( + session: AsyncSession, + thread_id: int, +) -> ChatSessionState | None: + """Get the current session state for a thread.""" + result = await session.execute( + select(ChatSessionState) + .options(selectinload(ChatSessionState.ai_responding_to_user)) + .filter(ChatSessionState.thread_id == thread_id) + ) + return result.scalar_one_or_none() + + +async def set_ai_responding( + session: AsyncSession, + thread_id: int, + user_id: UUID, +) -> ChatSessionState: + """Mark AI as responding to a specific user. Uses upsert for atomicity.""" + now = datetime.now(UTC) + upsert_query = insert(ChatSessionState).values( + thread_id=thread_id, + ai_responding_to_user_id=user_id, + updated_at=now, + ) + upsert_query = upsert_query.on_conflict_do_update( + index_elements=["thread_id"], + set_={ + "ai_responding_to_user_id": user_id, + "updated_at": now, + }, + ) + await session.execute(upsert_query) + await session.commit() + + return await get_session_state(session, thread_id) + + +async def clear_ai_responding( + session: AsyncSession, + thread_id: int, +) -> ChatSessionState | None: + """Clear AI responding state when response is complete.""" + state = await get_session_state(session, thread_id) + if state: + state.ai_responding_to_user_id = None + state.updated_at = datetime.now(UTC) + await session.commit() + await session.refresh(state) + return state diff --git a/surfsense_backend/app/services/composio_service.py b/surfsense_backend/app/services/composio_service.py new file mode 100644 index 000000000..6046ea2d8 --- /dev/null +++ b/surfsense_backend/app/services/composio_service.py @@ -0,0 +1,639 @@ +""" +Composio Service Module. + +Provides a wrapper around the Composio SDK for managing OAuth connections +and executing tools for various integrations (Google Drive, Gmail, Calendar, etc.). +""" + +import logging +from typing import Any + +from composio import Composio + +from app.config import config + +logger = logging.getLogger(__name__) + + +# Mapping of toolkit IDs to their Composio auth config IDs +# These use Composio's managed OAuth (no custom credentials needed) +COMPOSIO_TOOLKIT_AUTH_CONFIGS = { + "googledrive": "default", # Uses Composio's managed Google OAuth + "gmail": "default", + "googlecalendar": "default", + "slack": "default", + "notion": "default", + "github": "default", +} + +# Mapping of toolkit IDs to their display names +COMPOSIO_TOOLKIT_NAMES = { + "googledrive": "Google Drive", + "gmail": "Gmail", + "googlecalendar": "Google Calendar", + "slack": "Slack", + "notion": "Notion", + "github": "GitHub", +} + +# Toolkits that support indexing (Phase 1: Google services only) +INDEXABLE_TOOLKITS = {"googledrive", "gmail", "googlecalendar"} + + +class ComposioService: + """Service for interacting with Composio API.""" + + def __init__(self, api_key: str | None = None): + """ + Initialize the Composio service. + + Args: + api_key: Composio API key. If not provided, uses config.COMPOSIO_API_KEY. + """ + self.api_key = api_key or config.COMPOSIO_API_KEY + if not self.api_key: + raise ValueError("COMPOSIO_API_KEY is required but not configured") + self.client = Composio(api_key=self.api_key) + + @staticmethod + def is_enabled() -> bool: + """Check if Composio integration is enabled.""" + return config.COMPOSIO_ENABLED and bool(config.COMPOSIO_API_KEY) + + def list_available_toolkits(self) -> list[dict[str, Any]]: + """ + List all available Composio toolkits for the UI. + + Returns: + List of toolkit metadata dictionaries. + """ + toolkits = [] + for toolkit_id, display_name in COMPOSIO_TOOLKIT_NAMES.items(): + toolkits.append( + { + "id": toolkit_id, + "name": display_name, + "is_indexable": toolkit_id in INDEXABLE_TOOLKITS, + "description": f"Connect to {display_name} via Composio", + } + ) + return toolkits + + def _get_auth_config_for_toolkit(self, toolkit_id: str) -> str | None: + """ + Get the auth_config_id for a specific toolkit. + + Args: + toolkit_id: The toolkit ID (e.g., "googledrive", "gmail"). + + Returns: + The auth_config_id or None if not found. + """ + try: + # List all auth configs and find the one matching our toolkit + auth_configs = self.client.auth_configs.list() + for auth_config in auth_configs.items: + # Get toolkit - it may be an object with a 'slug' or 'name' attribute, or a string + config_toolkit = getattr(auth_config, "toolkit", None) + if config_toolkit is None: + continue + + # Extract toolkit name/slug from the object + toolkit_name = None + if isinstance(config_toolkit, str): + toolkit_name = config_toolkit + elif hasattr(config_toolkit, "slug"): + toolkit_name = config_toolkit.slug + elif hasattr(config_toolkit, "name"): + toolkit_name = config_toolkit.name + elif hasattr(config_toolkit, "id"): + toolkit_name = config_toolkit.id + + # Compare case-insensitively + if toolkit_name and toolkit_name.lower() == toolkit_id.lower(): + logger.info( + f"Found auth config {auth_config.id} for toolkit {toolkit_id}" + ) + return auth_config.id + + # Log available auth configs for debugging + logger.warning( + f"No auth config found for toolkit '{toolkit_id}'. Available auth configs:" + ) + for auth_config in auth_configs.items: + config_toolkit = getattr(auth_config, "toolkit", None) + logger.warning(f" - {auth_config.id}: toolkit={config_toolkit}") + + return None + except Exception as e: + logger.error(f"Failed to list auth configs: {e!s}") + return None + + async def initiate_connection( + self, + user_id: str, + toolkit_id: str, + redirect_uri: str, + ) -> dict[str, Any]: + """ + Initiate OAuth flow for a Composio toolkit. + + Args: + user_id: Unique identifier for the user (used as entity_id in Composio). + toolkit_id: The toolkit to connect (e.g., "googledrive", "gmail"). + redirect_uri: URL to redirect after OAuth completion. + + Returns: + Dictionary containing redirect_url and connection_id. + """ + if toolkit_id not in COMPOSIO_TOOLKIT_NAMES: + raise ValueError(f"Unknown toolkit: {toolkit_id}") + + try: + # First, get the auth_config_id for this toolkit + auth_config_id = self._get_auth_config_for_toolkit(toolkit_id) + + if not auth_config_id: + raise ValueError( + f"No auth config found for toolkit '{toolkit_id}'. " + f"Please create an auth config for {COMPOSIO_TOOLKIT_NAMES.get(toolkit_id, toolkit_id)} " + f"in your Composio dashboard at https://app.composio.dev" + ) + + # Initiate the connection using Composio SDK with auth_config_id + # allow_multiple=True allows creating multiple connections per user (e.g., different Google accounts) + connection_request = self.client.connected_accounts.initiate( + user_id=user_id, + auth_config_id=auth_config_id, + callback_url=redirect_uri, + allow_multiple=True, + ) + + logger.info( + f"Initiated Composio connection for user {user_id}, toolkit {toolkit_id}, auth_config {auth_config_id}" + ) + + return { + "redirect_url": connection_request.redirect_url, + "connection_id": getattr(connection_request, "id", None), + } + + except Exception as e: + logger.error(f"Failed to initiate Composio connection: {e!s}") + raise + + async def get_connected_account( + self, connected_account_id: str + ) -> dict[str, Any] | None: + """ + Get details of a connected account. + + Args: + connected_account_id: The Composio connected account ID. + + Returns: + Connected account details or None if not found. + """ + try: + # Pass connected_account_id as positional argument (not keyword) + account = self.client.connected_accounts.get(connected_account_id) + return { + "id": account.id, + "status": getattr(account, "status", None), + "toolkit": getattr(account, "toolkit", None), + "user_id": getattr(account, "user_id", None), + } + except Exception as e: + logger.error( + f"Failed to get connected account {connected_account_id}: {e!s}" + ) + return None + + async def list_all_connections(self) -> list[dict[str, Any]]: + """ + List ALL connected accounts (for debugging). + + Returns: + List of all connected account details. + """ + try: + accounts_response = self.client.connected_accounts.list() + + if hasattr(accounts_response, "items"): + accounts = accounts_response.items + elif hasattr(accounts_response, "__iter__"): + accounts = accounts_response + else: + logger.warning( + f"Unexpected accounts response type: {type(accounts_response)}" + ) + return [] + + result = [] + for acc in accounts: + toolkit_raw = getattr(acc, "toolkit", None) + toolkit_info = None + if toolkit_raw: + if isinstance(toolkit_raw, str): + toolkit_info = toolkit_raw + elif hasattr(toolkit_raw, "slug"): + toolkit_info = toolkit_raw.slug + elif hasattr(toolkit_raw, "name"): + toolkit_info = toolkit_raw.name + else: + toolkit_info = str(toolkit_raw) + + result.append( + { + "id": acc.id, + "status": getattr(acc, "status", None), + "toolkit": toolkit_info, + "user_id": getattr(acc, "user_id", None), + } + ) + + logger.info(f"DEBUG: Found {len(result)} TOTAL connections in Composio") + return result + except Exception as e: + logger.error(f"Failed to list all connections: {e!s}") + return [] + + async def list_user_connections(self, user_id: str) -> list[dict[str, Any]]: + """ + List all connected accounts for a user. + + Args: + user_id: The user's unique identifier. + + Returns: + List of connected account details. + """ + try: + logger.info(f"DEBUG: Calling connected_accounts.list(user_id='{user_id}')") + accounts_response = self.client.connected_accounts.list(user_id=user_id) + + # Handle paginated response (may have .items attribute) or direct list + if hasattr(accounts_response, "items"): + accounts = accounts_response.items + elif hasattr(accounts_response, "__iter__"): + accounts = accounts_response + else: + logger.warning( + f"Unexpected accounts response type: {type(accounts_response)}" + ) + return [] + + result = [] + for acc in accounts: + # Extract toolkit info - might be string or object + toolkit_raw = getattr(acc, "toolkit", None) + toolkit_info = None + if toolkit_raw: + if isinstance(toolkit_raw, str): + toolkit_info = toolkit_raw + elif hasattr(toolkit_raw, "slug"): + toolkit_info = toolkit_raw.slug + elif hasattr(toolkit_raw, "name"): + toolkit_info = toolkit_raw.name + else: + toolkit_info = toolkit_raw + + result.append( + { + "id": acc.id, + "status": getattr(acc, "status", None), + "toolkit": toolkit_info, + } + ) + + logger.info(f"Found {len(result)} connections for user {user_id}: {result}") + return result + except Exception as e: + logger.error(f"Failed to list connections for user {user_id}: {e!s}") + return [] + + async def execute_tool( + self, + connected_account_id: str, + tool_name: str, + params: dict[str, Any] | None = None, + entity_id: str | None = None, + ) -> dict[str, Any]: + """ + Execute a Composio tool. + + Args: + connected_account_id: The connected account to use. + tool_name: Name of the tool (e.g., "GOOGLEDRIVE_LIST_FILES"). + params: Parameters for the tool. + entity_id: The entity/user ID that owns the connected account. + + Returns: + Tool execution result. + """ + try: + # Based on Composio SDK docs: + # - slug: tool name + # - arguments: tool parameters + # - connected_account_id: for authentication + # - user_id: user identifier (SDK uses user_id, not entity_id) + # - dangerously_skip_version_check: skip version check for manual execution + logger.info(f"DEBUG: Executing tool {tool_name} with params: {params}") + result = self.client.tools.execute( + slug=tool_name, + connected_account_id=connected_account_id, + user_id=entity_id, # SDK expects user_id parameter + arguments=params or {}, + dangerously_skip_version_check=True, + ) + logger.info(f"DEBUG: Tool {tool_name} raw result type: {type(result)}") + logger.info(f"DEBUG: Tool {tool_name} raw result: {result}") + return {"success": True, "data": result} + except Exception as e: + logger.error(f"Failed to execute tool {tool_name}: {e!s}") + return {"success": False, "error": str(e)} + + # ===== Google Drive specific methods ===== + + async def get_drive_files( + self, + connected_account_id: str, + entity_id: str, + folder_id: str | None = None, + page_token: str | None = None, + page_size: int = 100, + ) -> tuple[list[dict[str, Any]], str | None, str | None]: + """ + List files from Google Drive via Composio. + + Args: + connected_account_id: Composio connected account ID. + entity_id: The entity/user ID that owns the connected account. + folder_id: Optional folder ID to list contents of. + page_token: Pagination token. + page_size: Number of files per page. + + Returns: + Tuple of (files list, next_page_token, error message). + """ + try: + # Composio uses snake_case for parameters + params = { + "page_size": min(page_size, 100), + } + if folder_id: + params["folder_id"] = folder_id + if page_token: + params["page_token"] = page_token + + result = await self.execute_tool( + connected_account_id=connected_account_id, + tool_name="GOOGLEDRIVE_LIST_FILES", + params=params, + entity_id=entity_id, + ) + + if not result.get("success"): + return [], None, result.get("error", "Unknown error") + + data = result.get("data", {}) + logger.info( + f"DEBUG: Drive data type: {type(data)}, keys: {data.keys() if isinstance(data, dict) else 'N/A'}" + ) + + # Handle nested response structure from Composio + files = [] + next_token = None + if isinstance(data, dict): + # Try direct access first, then nested + files = data.get("files", []) or data.get("data", {}).get("files", []) + next_token = ( + data.get("nextPageToken") + or data.get("next_page_token") + or data.get("data", {}).get("nextPageToken") + ) + elif isinstance(data, list): + files = data + + logger.info(f"DEBUG: Extracted {len(files)} drive files") + return files, next_token, None + + except Exception as e: + logger.error(f"Failed to list Drive files: {e!s}") + return [], None, str(e) + + async def get_drive_file_content( + self, connected_account_id: str, entity_id: str, file_id: str + ) -> tuple[bytes | None, str | None]: + """ + Download file content from Google Drive via Composio. + + Args: + connected_account_id: Composio connected account ID. + entity_id: The entity/user ID that owns the connected account. + file_id: Google Drive file ID. + + Returns: + Tuple of (file content bytes, error message). + """ + try: + result = await self.execute_tool( + connected_account_id=connected_account_id, + tool_name="GOOGLEDRIVE_DOWNLOAD_FILE", + params={"file_id": file_id}, # snake_case + entity_id=entity_id, + ) + + if not result.get("success"): + return None, result.get("error", "Unknown error") + + content = result.get("data") + if isinstance(content, str): + content = content.encode("utf-8") + + return content, None + + except Exception as e: + logger.error(f"Failed to get Drive file content: {e!s}") + return None, str(e) + + # ===== Gmail specific methods ===== + + async def get_gmail_messages( + self, + connected_account_id: str, + entity_id: str, + query: str = "", + max_results: int = 100, + ) -> tuple[list[dict[str, Any]], str | None]: + """ + List Gmail messages via Composio. + + Args: + connected_account_id: Composio connected account ID. + entity_id: The entity/user ID that owns the connected account. + query: Gmail search query. + max_results: Maximum number of messages to return. + + Returns: + Tuple of (messages list, error message). + """ + try: + # Composio uses snake_case for parameters, max is 500 + params = {"max_results": min(max_results, 500)} + if query: + params["query"] = query # Composio uses 'query' not 'q' + + result = await self.execute_tool( + connected_account_id=connected_account_id, + tool_name="GMAIL_FETCH_EMAILS", + params=params, + entity_id=entity_id, + ) + + if not result.get("success"): + return [], result.get("error", "Unknown error") + + data = result.get("data", {}) + logger.info( + f"DEBUG: Gmail data type: {type(data)}, keys: {data.keys() if isinstance(data, dict) else 'N/A'}" + ) + logger.info(f"DEBUG: Gmail full data: {data}") + + # Try different possible response structures + messages = [] + if isinstance(data, dict): + messages = ( + data.get("messages", []) + or data.get("data", {}).get("messages", []) + or data.get("emails", []) + ) + elif isinstance(data, list): + messages = data + + logger.info(f"DEBUG: Extracted {len(messages)} messages") + return messages, None + + except Exception as e: + logger.error(f"Failed to list Gmail messages: {e!s}") + return [], str(e) + + async def get_gmail_message_detail( + self, connected_account_id: str, entity_id: str, message_id: str + ) -> tuple[dict[str, Any] | None, str | None]: + """ + Get full details of a Gmail message via Composio. + + Args: + connected_account_id: Composio connected account ID. + entity_id: The entity/user ID that owns the connected account. + message_id: Gmail message ID. + + Returns: + Tuple of (message details, error message). + """ + try: + result = await self.execute_tool( + connected_account_id=connected_account_id, + tool_name="GMAIL_GET_MESSAGE_BY_MESSAGE_ID", + params={"message_id": message_id}, # snake_case + entity_id=entity_id, + ) + + if not result.get("success"): + return None, result.get("error", "Unknown error") + + return result.get("data"), None + + except Exception as e: + logger.error(f"Failed to get Gmail message detail: {e!s}") + return None, str(e) + + # ===== Google Calendar specific methods ===== + + async def get_calendar_events( + self, + connected_account_id: str, + entity_id: str, + time_min: str | None = None, + time_max: str | None = None, + max_results: int = 250, + ) -> tuple[list[dict[str, Any]], str | None]: + """ + List Google Calendar events via Composio. + + Args: + connected_account_id: Composio connected account ID. + entity_id: The entity/user ID that owns the connected account. + time_min: Start time (RFC3339 format). + time_max: End time (RFC3339 format). + max_results: Maximum number of events. + + Returns: + Tuple of (events list, error message). + """ + try: + # Composio uses snake_case for parameters + params = { + "max_results": min(max_results, 250), + "single_events": True, + "order_by": "startTime", + } + if time_min: + params["time_min"] = time_min + if time_max: + params["time_max"] = time_max + + result = await self.execute_tool( + connected_account_id=connected_account_id, + tool_name="GOOGLECALENDAR_EVENTS_LIST", + params=params, + entity_id=entity_id, + ) + + if not result.get("success"): + return [], result.get("error", "Unknown error") + + data = result.get("data", {}) + logger.info( + f"DEBUG: Calendar data type: {type(data)}, keys: {data.keys() if isinstance(data, dict) else 'N/A'}" + ) + logger.info(f"DEBUG: Calendar full data: {data}") + + # Try different possible response structures + events = [] + if isinstance(data, dict): + events = ( + data.get("items", []) + or data.get("data", {}).get("items", []) + or data.get("events", []) + ) + elif isinstance(data, list): + events = data + + logger.info(f"DEBUG: Extracted {len(events)} calendar events") + return events, None + + except Exception as e: + logger.error(f"Failed to list Calendar events: {e!s}") + return [], str(e) + + +# Singleton instance +_composio_service: ComposioService | None = None + + +def get_composio_service() -> ComposioService: + """ + Get or create the Composio service singleton. + + Returns: + ComposioService instance. + + Raises: + ValueError: If Composio is not properly configured. + """ + global _composio_service + if _composio_service is None: + _composio_service = ComposioService() + return _composio_service diff --git a/surfsense_backend/app/services/notification_service.py b/surfsense_backend/app/services/notification_service.py index 97e0f9457..836daeb9e 100644 --- a/surfsense_backend/app/services/notification_service.py +++ b/surfsense_backend/app/services/notification_service.py @@ -623,6 +623,28 @@ class MentionNotificationHandler(BaseNotificationHandler): def __init__(self): super().__init__("new_mention") + async def find_notification_by_mention( + self, + session: AsyncSession, + mention_id: int, + ) -> Notification | None: + """ + Find an existing notification by mention ID. + + Args: + session: Database session + mention_id: The mention ID to search for + + Returns: + Notification if found, None otherwise + """ + query = select(Notification).where( + Notification.type == self.notification_type, + Notification.notification_metadata["mention_id"].astext == str(mention_id), + ) + result = await session.execute(query) + return result.scalar_one_or_none() + async def notify_new_mention( self, session: AsyncSession, @@ -634,28 +656,41 @@ class MentionNotificationHandler(BaseNotificationHandler): thread_title: str, author_id: str, author_name: str, + author_avatar_url: str | None, + author_email: str, content_preview: str, search_space_id: int, ) -> Notification: """ Create notification when a user is @mentioned in a comment. + Uses mention_id for idempotency to prevent duplicate notifications. Args: session: Database session mentioned_user_id: User who was mentioned - mention_id: ID of the mention record + mention_id: ID of the mention record (used for idempotency) comment_id: ID of the comment containing the mention message_id: ID of the message being commented on thread_id: ID of the chat thread thread_title: Title of the chat thread author_id: ID of the comment author author_name: Display name of the comment author + author_avatar_url: Avatar URL of the comment author + author_email: Email of the comment author (for fallback initials) content_preview: First ~100 chars of the comment search_space_id: Search space ID Returns: - Notification: The created notification + Notification: The created or existing notification """ + # Check if notification already exists for this mention (idempotency) + existing = await self.find_notification_by_mention(session, mention_id) + if existing: + logger.info( + f"Notification already exists for mention {mention_id}, returning existing" + ) + return existing + title = f"{author_name} mentioned you" message = content_preview[:100] + ("..." if len(content_preview) > 100 else "") @@ -667,24 +702,42 @@ class MentionNotificationHandler(BaseNotificationHandler): "thread_title": thread_title, "author_id": author_id, "author_name": author_name, + "author_avatar_url": author_avatar_url, + "author_email": author_email, "content_preview": content_preview[:200], } - notification = Notification( - user_id=mentioned_user_id, - search_space_id=search_space_id, - type=self.notification_type, - title=title, - message=message, - notification_metadata=metadata, - ) - session.add(notification) - await session.commit() - await session.refresh(notification) - logger.info( - f"Created new_mention notification {notification.id} for user {mentioned_user_id}" - ) - return notification + try: + notification = Notification( + user_id=mentioned_user_id, + search_space_id=search_space_id, + type=self.notification_type, + title=title, + message=message, + notification_metadata=metadata, + ) + session.add(notification) + await session.commit() + await session.refresh(notification) + logger.info( + f"Created new_mention notification {notification.id} for user {mentioned_user_id}" + ) + return notification + except Exception as e: + # Handle race condition - if duplicate key error, try to fetch existing + await session.rollback() + if ( + "duplicate key" in str(e).lower() + or "unique constraint" in str(e).lower() + ): + logger.warning( + f"Duplicate notification detected for mention {mention_id}, fetching existing" + ) + existing = await self.find_notification_by_mention(session, mention_id) + if existing: + return existing + # Re-raise if not a duplicate key error or couldn't find existing + raise class NotificationService: diff --git a/surfsense_backend/app/tasks/celery_tasks/connector_tasks.py b/surfsense_backend/app/tasks/celery_tasks/connector_tasks.py index 78fa595de..72cedb40f 100644 --- a/surfsense_backend/app/tasks/celery_tasks/connector_tasks.py +++ b/surfsense_backend/app/tasks/celery_tasks/connector_tasks.py @@ -759,3 +759,45 @@ async def _index_bookstack_pages( await run_bookstack_indexing( session, connector_id, search_space_id, user_id, start_date, end_date ) + + +@celery_app.task(name="index_composio_connector", bind=True) +def index_composio_connector_task( + self, + connector_id: int, + search_space_id: int, + user_id: str, + start_date: str, + end_date: str, +): + """Celery task to index Composio connector content (Google Drive, Gmail, Calendar via Composio).""" + import asyncio + + loop = asyncio.new_event_loop() + asyncio.set_event_loop(loop) + + try: + loop.run_until_complete( + _index_composio_connector( + connector_id, search_space_id, user_id, start_date, end_date + ) + ) + finally: + loop.close() + + +async def _index_composio_connector( + connector_id: int, + search_space_id: int, + user_id: str, + start_date: str, + end_date: str, +): + """Index Composio connector content with new session.""" + # Import from tasks folder (not connector_indexers) to avoid circular import + from app.tasks.composio_indexer import index_composio_connector + + async with get_celery_session_maker()() as session: + await index_composio_connector( + session, connector_id, search_space_id, user_id, start_date, end_date + ) diff --git a/surfsense_backend/app/tasks/chat/stream_new_chat.py b/surfsense_backend/app/tasks/chat/stream_new_chat.py index 85a524108..31229a59b 100644 --- a/surfsense_backend/app/tasks/chat/stream_new_chat.py +++ b/surfsense_backend/app/tasks/chat/stream_new_chat.py @@ -11,6 +11,7 @@ Supports loading LLM configurations from: import json from collections.abc import AsyncGenerator +from uuid import UUID from langchain_core.messages import HumanMessage from sqlalchemy.ext.asyncio import AsyncSession @@ -27,6 +28,10 @@ from app.agents.new_chat.llm_config import ( ) from app.db import Document, SurfsenseDocsDocument from app.schemas.new_chat import ChatAttachment +from app.services.chat_session_state_service import ( + clear_ai_responding, + set_ai_responding, +) from app.services.connector_service import ConnectorService from app.services.new_streaming_service import VercelStreamingService @@ -149,6 +154,7 @@ async def stream_new_chat( search_space_id: int, chat_id: int, session: AsyncSession, + user_id: str | None = None, llm_config_id: int = -1, attachments: list[ChatAttachment] | None = None, mentioned_document_ids: list[int] | None = None, @@ -166,8 +172,8 @@ async def stream_new_chat( search_space_id: The search space ID chat_id: The chat ID (used as LangGraph thread_id for memory) session: The database session + user_id: The current user's UUID string (for memory tools and session state) llm_config_id: The LLM configuration ID (default: -1 for first global config) - messages: Optional chat history from frontend (list of ChatMessage) attachments: Optional attachments with extracted content mentioned_document_ids: Optional list of document IDs mentioned with @ in the chat mentioned_surfsense_doc_ids: Optional list of SurfSense doc IDs mentioned with @ in the chat @@ -181,6 +187,9 @@ async def stream_new_chat( current_text_id: str | None = None try: + # Mark AI as responding to this user for live collaboration + if user_id: + await set_ai_responding(session, chat_id, UUID(user_id)) # Load LLM config - supports both YAML (negative IDs) and database (positive IDs) agent_config: AgentConfig | None = None @@ -243,6 +252,7 @@ async def stream_new_chat( db_session=session, connector_service=connector_service, checkpointer=checkpointer, + user_id=user_id, # Pass user ID for memory tools agent_config=agent_config, # Pass prompt configuration firecrawl_api_key=firecrawl_api_key, # Pass Firecrawl API key if configured ) @@ -1144,3 +1154,7 @@ async def stream_new_chat( yield streaming_service.format_finish_step() yield streaming_service.format_finish() yield streaming_service.format_done() + + finally: + # Clear AI responding state for live collaboration + await clear_ai_responding(session, chat_id) diff --git a/surfsense_backend/app/tasks/composio_indexer.py b/surfsense_backend/app/tasks/composio_indexer.py new file mode 100644 index 000000000..abb238924 --- /dev/null +++ b/surfsense_backend/app/tasks/composio_indexer.py @@ -0,0 +1,941 @@ +""" +Composio connector indexer. + +Routes indexing requests to toolkit-specific handlers (Google Drive, Gmail, Calendar). + +Note: This module is intentionally placed in app/tasks/ (not in connector_indexers/) +to avoid circular import issues with the connector_indexers package. +""" + +import logging +from datetime import UTC, datetime + +from sqlalchemy.exc import SQLAlchemyError +from sqlalchemy.ext.asyncio import AsyncSession +from sqlalchemy.future import select +from sqlalchemy.orm import selectinload + +from app.config import config +from app.connectors.composio_connector import ComposioConnector +from app.db import ( + Document, + DocumentType, + SearchSourceConnector, + SearchSourceConnectorType, +) +from app.services.composio_service import INDEXABLE_TOOLKITS +from app.services.llm_service import get_user_long_context_llm +from app.services.task_logging_service import TaskLoggingService +from app.utils.document_converters import ( + create_document_chunks, + generate_content_hash, + generate_document_summary, + generate_unique_identifier_hash, +) + +# Set up logging +logger = logging.getLogger(__name__) + + +# ============ Utility functions (copied from connector_indexers.base to avoid circular imports) ============ + + +def get_current_timestamp() -> datetime: + """Get the current timestamp with timezone for updated_at field.""" + return datetime.now(UTC) + + +async def check_document_by_unique_identifier( + session: AsyncSession, unique_identifier_hash: str +) -> Document | None: + """Check if a document with the given unique identifier hash already exists.""" + existing_doc_result = await session.execute( + select(Document) + .options(selectinload(Document.chunks)) + .where(Document.unique_identifier_hash == unique_identifier_hash) + ) + return existing_doc_result.scalars().first() + + +async def get_connector_by_id( + session: AsyncSession, connector_id: int, connector_type: SearchSourceConnectorType +) -> SearchSourceConnector | None: + """Get a connector by ID and type from the database.""" + result = await session.execute( + select(SearchSourceConnector).filter( + SearchSourceConnector.id == connector_id, + SearchSourceConnector.connector_type == connector_type, + ) + ) + return result.scalars().first() + + +async def update_connector_last_indexed( + session: AsyncSession, + connector: SearchSourceConnector, + update_last_indexed: bool = True, +) -> None: + """Update the last_indexed_at timestamp for a connector.""" + if update_last_indexed: + connector.last_indexed_at = datetime.now() + logger.info(f"Updated last_indexed_at to {connector.last_indexed_at}") + + +# ============ Main indexer function ============ + + +async def index_composio_connector( + session: AsyncSession, + connector_id: int, + search_space_id: int, + user_id: str, + start_date: str | None = None, + end_date: str | None = None, + update_last_indexed: bool = True, + max_items: int = 1000, +) -> tuple[int, str]: + """ + Index content from a Composio connector. + + Routes to toolkit-specific indexing based on the connector's toolkit_id. + + Args: + session: Database session + connector_id: ID of the Composio connector + search_space_id: ID of the search space + user_id: ID of the user + start_date: Start date for filtering (YYYY-MM-DD format) + end_date: End date for filtering (YYYY-MM-DD format) + update_last_indexed: Whether to update the last_indexed_at timestamp + max_items: Maximum number of items to fetch + + Returns: + Tuple of (number_of_indexed_items, error_message or None) + """ + task_logger = TaskLoggingService(session, search_space_id) + + # Log task start + log_entry = await task_logger.log_task_start( + task_name="composio_connector_indexing", + source="connector_indexing_task", + message=f"Starting Composio connector indexing for connector {connector_id}", + metadata={ + "connector_id": connector_id, + "user_id": str(user_id), + "max_items": max_items, + "start_date": start_date, + "end_date": end_date, + }, + ) + + try: + # Get connector by id + connector = await get_connector_by_id( + session, connector_id, SearchSourceConnectorType.COMPOSIO_CONNECTOR + ) + + if not connector: + error_msg = f"Composio connector with ID {connector_id} not found" + await task_logger.log_task_failure( + log_entry, error_msg, {"error_type": "ConnectorNotFound"} + ) + return 0, error_msg + + # Get toolkit ID from config + toolkit_id = connector.config.get("toolkit_id") + if not toolkit_id: + error_msg = ( + f"Composio connector {connector_id} has no toolkit_id configured" + ) + await task_logger.log_task_failure( + log_entry, error_msg, {"error_type": "MissingToolkitId"} + ) + return 0, error_msg + + # Check if toolkit is indexable + if toolkit_id not in INDEXABLE_TOOLKITS: + error_msg = f"Toolkit '{toolkit_id}' does not support indexing yet" + await task_logger.log_task_failure( + log_entry, error_msg, {"error_type": "ToolkitNotIndexable"} + ) + return 0, error_msg + + # Route to toolkit-specific indexer + if toolkit_id == "googledrive": + return await _index_composio_google_drive( + session=session, + connector=connector, + connector_id=connector_id, + search_space_id=search_space_id, + user_id=user_id, + task_logger=task_logger, + log_entry=log_entry, + update_last_indexed=update_last_indexed, + max_items=max_items, + ) + elif toolkit_id == "gmail": + return await _index_composio_gmail( + session=session, + connector=connector, + connector_id=connector_id, + search_space_id=search_space_id, + user_id=user_id, + start_date=start_date, + end_date=end_date, + task_logger=task_logger, + log_entry=log_entry, + update_last_indexed=update_last_indexed, + max_items=max_items, + ) + elif toolkit_id == "googlecalendar": + return await _index_composio_google_calendar( + session=session, + connector=connector, + connector_id=connector_id, + search_space_id=search_space_id, + user_id=user_id, + start_date=start_date, + end_date=end_date, + task_logger=task_logger, + log_entry=log_entry, + update_last_indexed=update_last_indexed, + max_items=max_items, + ) + else: + error_msg = f"No indexer implemented for toolkit: {toolkit_id}" + await task_logger.log_task_failure( + log_entry, error_msg, {"error_type": "NoIndexerImplemented"} + ) + return 0, error_msg + + except SQLAlchemyError as db_error: + await session.rollback() + await task_logger.log_task_failure( + log_entry, + f"Database error during Composio indexing for connector {connector_id}", + str(db_error), + {"error_type": "SQLAlchemyError"}, + ) + logger.error(f"Database error: {db_error!s}", exc_info=True) + return 0, f"Database error: {db_error!s}" + except Exception as e: + await session.rollback() + await task_logger.log_task_failure( + log_entry, + f"Failed to index Composio connector {connector_id}", + str(e), + {"error_type": type(e).__name__}, + ) + logger.error(f"Failed to index Composio connector: {e!s}", exc_info=True) + return 0, f"Failed to index Composio connector: {e!s}" + + +async def _index_composio_google_drive( + session: AsyncSession, + connector, + connector_id: int, + search_space_id: int, + user_id: str, + task_logger: TaskLoggingService, + log_entry, + update_last_indexed: bool = True, + max_items: int = 1000, +) -> tuple[int, str]: + """Index Google Drive files via Composio.""" + try: + composio_connector = ComposioConnector(session, connector_id) + + await task_logger.log_task_progress( + log_entry, + f"Fetching Google Drive files via Composio for connector {connector_id}", + {"stage": "fetching_files"}, + ) + + # Fetch files + all_files = [] + page_token = None + + while len(all_files) < max_items: + files, next_token, error = await composio_connector.list_drive_files( + page_token=page_token, + page_size=min(100, max_items - len(all_files)), + ) + + if error: + await task_logger.log_task_failure( + log_entry, f"Failed to fetch Drive files: {error}", {} + ) + return 0, f"Failed to fetch Drive files: {error}" + + all_files.extend(files) + + if not next_token: + break + page_token = next_token + + if not all_files: + success_msg = "No Google Drive files found" + await task_logger.log_task_success( + log_entry, success_msg, {"files_count": 0} + ) + return 0, success_msg + + logger.info(f"Found {len(all_files)} Google Drive files to index via Composio") + + documents_indexed = 0 + documents_skipped = 0 + + for file_info in all_files: + try: + # Handle both standard Google API and potential Composio variations + file_id = file_info.get("id", "") or file_info.get("fileId", "") + file_name = ( + file_info.get("name", "") + or file_info.get("fileName", "") + or "Untitled" + ) + mime_type = file_info.get("mimeType", "") or file_info.get( + "mime_type", "" + ) + + if not file_id: + documents_skipped += 1 + continue + + # Skip folders + if mime_type == "application/vnd.google-apps.folder": + continue + + # Generate unique identifier hash + unique_identifier_hash = generate_unique_identifier_hash( + DocumentType.COMPOSIO_CONNECTOR, f"drive_{file_id}", search_space_id + ) + + # Check if document exists + existing_document = await check_document_by_unique_identifier( + session, unique_identifier_hash + ) + + # Get file content + ( + content, + content_error, + ) = await composio_connector.get_drive_file_content(file_id) + + if content_error or not content: + logger.warning( + f"Could not get content for file {file_name}: {content_error}" + ) + # Use metadata as content fallback + markdown_content = f"# {file_name}\n\n" + markdown_content += f"**File ID:** {file_id}\n" + markdown_content += f"**Type:** {mime_type}\n" + else: + try: + markdown_content = content.decode("utf-8") + except UnicodeDecodeError: + markdown_content = f"# {file_name}\n\n[Binary file content]\n" + + content_hash = generate_content_hash(markdown_content, search_space_id) + + if existing_document: + if existing_document.content_hash == content_hash: + documents_skipped += 1 + continue + + # Update existing document + user_llm = await get_user_long_context_llm( + session, user_id, search_space_id + ) + + if user_llm: + document_metadata = { + "file_id": file_id, + "file_name": file_name, + "mime_type": mime_type, + "document_type": "Google Drive File (Composio)", + } + ( + summary_content, + summary_embedding, + ) = await generate_document_summary( + markdown_content, user_llm, document_metadata + ) + else: + summary_content = ( + f"Google Drive File: {file_name}\n\nType: {mime_type}" + ) + summary_embedding = config.embedding_model_instance.embed( + summary_content + ) + + chunks = await create_document_chunks(markdown_content) + + existing_document.title = f"Drive: {file_name}" + existing_document.content = summary_content + existing_document.content_hash = content_hash + existing_document.embedding = summary_embedding + existing_document.document_metadata = { + "file_id": file_id, + "file_name": file_name, + "mime_type": mime_type, + "connector_id": connector_id, + "source": "composio", + } + existing_document.chunks = chunks + existing_document.updated_at = get_current_timestamp() + + documents_indexed += 1 + continue + + # Create new document + user_llm = await get_user_long_context_llm( + session, user_id, search_space_id + ) + + if user_llm: + document_metadata = { + "file_id": file_id, + "file_name": file_name, + "mime_type": mime_type, + "document_type": "Google Drive File (Composio)", + } + ( + summary_content, + summary_embedding, + ) = await generate_document_summary( + markdown_content, user_llm, document_metadata + ) + else: + summary_content = ( + f"Google Drive File: {file_name}\n\nType: {mime_type}" + ) + summary_embedding = config.embedding_model_instance.embed( + summary_content + ) + + chunks = await create_document_chunks(markdown_content) + + document = Document( + search_space_id=search_space_id, + title=f"Drive: {file_name}", + document_type=DocumentType.COMPOSIO_CONNECTOR, + document_metadata={ + "file_id": file_id, + "file_name": file_name, + "mime_type": mime_type, + "connector_id": connector_id, + "toolkit_id": "googledrive", + "source": "composio", + }, + content=summary_content, + content_hash=content_hash, + unique_identifier_hash=unique_identifier_hash, + embedding=summary_embedding, + chunks=chunks, + updated_at=get_current_timestamp(), + ) + session.add(document) + documents_indexed += 1 + + if documents_indexed % 10 == 0: + await session.commit() + + except Exception as e: + logger.error(f"Error processing Drive file: {e!s}", exc_info=True) + documents_skipped += 1 + continue + + if documents_indexed > 0: + await update_connector_last_indexed(session, connector, update_last_indexed) + + await session.commit() + + await task_logger.log_task_success( + log_entry, + f"Successfully completed Google Drive indexing via Composio for connector {connector_id}", + { + "documents_indexed": documents_indexed, + "documents_skipped": documents_skipped, + }, + ) + + return documents_indexed, None + + except Exception as e: + logger.error(f"Failed to index Google Drive via Composio: {e!s}", exc_info=True) + return 0, f"Failed to index Google Drive via Composio: {e!s}" + + +async def _index_composio_gmail( + session: AsyncSession, + connector, + connector_id: int, + search_space_id: int, + user_id: str, + start_date: str | None, + end_date: str | None, + task_logger: TaskLoggingService, + log_entry, + update_last_indexed: bool = True, + max_items: int = 1000, +) -> tuple[int, str]: + """Index Gmail messages via Composio.""" + try: + composio_connector = ComposioConnector(session, connector_id) + + await task_logger.log_task_progress( + log_entry, + f"Fetching Gmail messages via Composio for connector {connector_id}", + {"stage": "fetching_messages"}, + ) + + # Build query with date range + query_parts = [] + if start_date: + query_parts.append(f"after:{start_date.replace('-', '/')}") + if end_date: + query_parts.append(f"before:{end_date.replace('-', '/')}") + query = " ".join(query_parts) + + messages, error = await composio_connector.list_gmail_messages( + query=query, + max_results=max_items, + ) + + if error: + await task_logger.log_task_failure( + log_entry, f"Failed to fetch Gmail messages: {error}", {} + ) + return 0, f"Failed to fetch Gmail messages: {error}" + + if not messages: + success_msg = "No Gmail messages found in the specified date range" + await task_logger.log_task_success( + log_entry, success_msg, {"messages_count": 0} + ) + return 0, success_msg + + logger.info(f"Found {len(messages)} Gmail messages to index via Composio") + + documents_indexed = 0 + documents_skipped = 0 + + for message in messages: + try: + # Composio uses 'messageId' (camelCase), not 'id' + message_id = message.get("messageId", "") or message.get("id", "") + if not message_id: + documents_skipped += 1 + continue + + # Composio's GMAIL_FETCH_EMAILS already returns full message content + # No need for a separate detail API call + + # Extract message info from Composio response + # Composio structure: messageId, messageText, messageTimestamp, payload.headers, labelIds + payload = message.get("payload", {}) + headers = payload.get("headers", []) + + subject = "No Subject" + sender = "Unknown Sender" + date_str = message.get("messageTimestamp", "Unknown Date") + + for header in headers: + name = header.get("name", "").lower() + value = header.get("value", "") + if name == "subject": + subject = value + elif name == "from": + sender = value + elif name == "date": + date_str = value + + # Format to markdown using the full message data + markdown_content = composio_connector.format_gmail_message_to_markdown( + message + ) + + # Generate unique identifier + unique_identifier_hash = generate_unique_identifier_hash( + DocumentType.COMPOSIO_CONNECTOR, + f"gmail_{message_id}", + search_space_id, + ) + + content_hash = generate_content_hash(markdown_content, search_space_id) + + existing_document = await check_document_by_unique_identifier( + session, unique_identifier_hash + ) + + # Get label IDs from Composio response + label_ids = message.get("labelIds", []) + + if existing_document: + if existing_document.content_hash == content_hash: + documents_skipped += 1 + continue + + # Update existing + user_llm = await get_user_long_context_llm( + session, user_id, search_space_id + ) + + if user_llm: + document_metadata = { + "message_id": message_id, + "subject": subject, + "sender": sender, + "document_type": "Gmail Message (Composio)", + } + ( + summary_content, + summary_embedding, + ) = await generate_document_summary( + markdown_content, user_llm, document_metadata + ) + else: + summary_content = ( + f"Gmail: {subject}\n\nFrom: {sender}\nDate: {date_str}" + ) + summary_embedding = config.embedding_model_instance.embed( + summary_content + ) + + chunks = await create_document_chunks(markdown_content) + + existing_document.title = f"Gmail: {subject}" + existing_document.content = summary_content + existing_document.content_hash = content_hash + existing_document.embedding = summary_embedding + existing_document.document_metadata = { + "message_id": message_id, + "subject": subject, + "sender": sender, + "date": date_str, + "labels": label_ids, + "connector_id": connector_id, + "source": "composio", + } + existing_document.chunks = chunks + existing_document.updated_at = get_current_timestamp() + + documents_indexed += 1 + continue + + # Create new document + user_llm = await get_user_long_context_llm( + session, user_id, search_space_id + ) + + if user_llm: + document_metadata = { + "message_id": message_id, + "subject": subject, + "sender": sender, + "document_type": "Gmail Message (Composio)", + } + ( + summary_content, + summary_embedding, + ) = await generate_document_summary( + markdown_content, user_llm, document_metadata + ) + else: + summary_content = ( + f"Gmail: {subject}\n\nFrom: {sender}\nDate: {date_str}" + ) + summary_embedding = config.embedding_model_instance.embed( + summary_content + ) + + chunks = await create_document_chunks(markdown_content) + + document = Document( + search_space_id=search_space_id, + title=f"Gmail: {subject}", + document_type=DocumentType.COMPOSIO_CONNECTOR, + document_metadata={ + "message_id": message_id, + "subject": subject, + "sender": sender, + "date": date_str, + "labels": label_ids, + "connector_id": connector_id, + "toolkit_id": "gmail", + "source": "composio", + }, + content=summary_content, + content_hash=content_hash, + unique_identifier_hash=unique_identifier_hash, + embedding=summary_embedding, + chunks=chunks, + updated_at=get_current_timestamp(), + ) + session.add(document) + documents_indexed += 1 + + if documents_indexed % 10 == 0: + await session.commit() + + except Exception as e: + logger.error(f"Error processing Gmail message: {e!s}", exc_info=True) + documents_skipped += 1 + continue + + if documents_indexed > 0: + await update_connector_last_indexed(session, connector, update_last_indexed) + + await session.commit() + + await task_logger.log_task_success( + log_entry, + f"Successfully completed Gmail indexing via Composio for connector {connector_id}", + { + "documents_indexed": documents_indexed, + "documents_skipped": documents_skipped, + }, + ) + + return documents_indexed, None + + except Exception as e: + logger.error(f"Failed to index Gmail via Composio: {e!s}", exc_info=True) + return 0, f"Failed to index Gmail via Composio: {e!s}" + + +async def _index_composio_google_calendar( + session: AsyncSession, + connector, + connector_id: int, + search_space_id: int, + user_id: str, + start_date: str | None, + end_date: str | None, + task_logger: TaskLoggingService, + log_entry, + update_last_indexed: bool = True, + max_items: int = 2500, +) -> tuple[int, str]: + """Index Google Calendar events via Composio.""" + from datetime import datetime, timedelta + + try: + composio_connector = ComposioConnector(session, connector_id) + + await task_logger.log_task_progress( + log_entry, + f"Fetching Google Calendar events via Composio for connector {connector_id}", + {"stage": "fetching_events"}, + ) + + # Build time range + if start_date: + time_min = f"{start_date}T00:00:00Z" + else: + # Default to 365 days ago + default_start = datetime.now() - timedelta(days=365) + time_min = default_start.strftime("%Y-%m-%dT00:00:00Z") + + if end_date: + time_max = f"{end_date}T23:59:59Z" + else: + time_max = datetime.now().strftime("%Y-%m-%dT23:59:59Z") + + events, error = await composio_connector.list_calendar_events( + time_min=time_min, + time_max=time_max, + max_results=max_items, + ) + + if error: + await task_logger.log_task_failure( + log_entry, f"Failed to fetch Calendar events: {error}", {} + ) + return 0, f"Failed to fetch Calendar events: {error}" + + if not events: + success_msg = "No Google Calendar events found in the specified date range" + await task_logger.log_task_success( + log_entry, success_msg, {"events_count": 0} + ) + return 0, success_msg + + logger.info(f"Found {len(events)} Google Calendar events to index via Composio") + + documents_indexed = 0 + documents_skipped = 0 + + for event in events: + try: + # Handle both standard Google API and potential Composio variations + event_id = event.get("id", "") or event.get("eventId", "") + summary = ( + event.get("summary", "") or event.get("title", "") or "No Title" + ) + + if not event_id: + documents_skipped += 1 + continue + + # Format to markdown + markdown_content = composio_connector.format_calendar_event_to_markdown( + event + ) + + # Generate unique identifier + unique_identifier_hash = generate_unique_identifier_hash( + DocumentType.COMPOSIO_CONNECTOR, + f"calendar_{event_id}", + search_space_id, + ) + + content_hash = generate_content_hash(markdown_content, search_space_id) + + existing_document = await check_document_by_unique_identifier( + session, unique_identifier_hash + ) + + # Extract event times + start = event.get("start", {}) + end = event.get("end", {}) + start_time = start.get("dateTime") or start.get("date", "") + end_time = end.get("dateTime") or end.get("date", "") + location = event.get("location", "") + + if existing_document: + if existing_document.content_hash == content_hash: + documents_skipped += 1 + continue + + # Update existing + user_llm = await get_user_long_context_llm( + session, user_id, search_space_id + ) + + if user_llm: + document_metadata = { + "event_id": event_id, + "summary": summary, + "start_time": start_time, + "document_type": "Google Calendar Event (Composio)", + } + ( + summary_content, + summary_embedding, + ) = await generate_document_summary( + markdown_content, user_llm, document_metadata + ) + else: + summary_content = f"Calendar: {summary}\n\nStart: {start_time}\nEnd: {end_time}" + if location: + summary_content += f"\nLocation: {location}" + summary_embedding = config.embedding_model_instance.embed( + summary_content + ) + + chunks = await create_document_chunks(markdown_content) + + existing_document.title = f"Calendar: {summary}" + existing_document.content = summary_content + existing_document.content_hash = content_hash + existing_document.embedding = summary_embedding + existing_document.document_metadata = { + "event_id": event_id, + "summary": summary, + "start_time": start_time, + "end_time": end_time, + "location": location, + "connector_id": connector_id, + "source": "composio", + } + existing_document.chunks = chunks + existing_document.updated_at = get_current_timestamp() + + documents_indexed += 1 + continue + + # Create new document + user_llm = await get_user_long_context_llm( + session, user_id, search_space_id + ) + + if user_llm: + document_metadata = { + "event_id": event_id, + "summary": summary, + "start_time": start_time, + "document_type": "Google Calendar Event (Composio)", + } + ( + summary_content, + summary_embedding, + ) = await generate_document_summary( + markdown_content, user_llm, document_metadata + ) + else: + summary_content = ( + f"Calendar: {summary}\n\nStart: {start_time}\nEnd: {end_time}" + ) + if location: + summary_content += f"\nLocation: {location}" + summary_embedding = config.embedding_model_instance.embed( + summary_content + ) + + chunks = await create_document_chunks(markdown_content) + + document = Document( + search_space_id=search_space_id, + title=f"Calendar: {summary}", + document_type=DocumentType.COMPOSIO_CONNECTOR, + document_metadata={ + "event_id": event_id, + "summary": summary, + "start_time": start_time, + "end_time": end_time, + "location": location, + "connector_id": connector_id, + "toolkit_id": "googlecalendar", + "source": "composio", + }, + content=summary_content, + content_hash=content_hash, + unique_identifier_hash=unique_identifier_hash, + embedding=summary_embedding, + chunks=chunks, + updated_at=get_current_timestamp(), + ) + session.add(document) + documents_indexed += 1 + + if documents_indexed % 10 == 0: + await session.commit() + + except Exception as e: + logger.error(f"Error processing Calendar event: {e!s}", exc_info=True) + documents_skipped += 1 + continue + + if documents_indexed > 0: + await update_connector_last_indexed(session, connector, update_last_indexed) + + await session.commit() + + await task_logger.log_task_success( + log_entry, + f"Successfully completed Google Calendar indexing via Composio for connector {connector_id}", + { + "documents_indexed": documents_indexed, + "documents_skipped": documents_skipped, + }, + ) + + return documents_indexed, None + + except Exception as e: + logger.error( + f"Failed to index Google Calendar via Composio: {e!s}", exc_info=True + ) + return 0, f"Failed to index Google Calendar via Composio: {e!s}" diff --git a/surfsense_backend/app/tasks/connector_indexers/__init__.py b/surfsense_backend/app/tasks/connector_indexers/__init__.py index 95e57ddf2..8f25e6fdd 100644 --- a/surfsense_backend/app/tasks/connector_indexers/__init__.py +++ b/surfsense_backend/app/tasks/connector_indexers/__init__.py @@ -26,6 +26,8 @@ Available indexers: # Calendar and scheduling from .airtable_indexer import index_airtable_records from .bookstack_indexer import index_bookstack_pages + +# Note: composio_indexer is imported directly in connector_tasks.py to avoid circular imports from .clickup_indexer import index_clickup_tasks from .confluence_indexer import index_confluence_pages from .discord_indexer import index_discord_messages @@ -50,6 +52,7 @@ from .webcrawler_indexer import index_crawled_urls __all__ = [ # noqa: RUF022 "index_airtable_records", "index_bookstack_pages", + # "index_composio_connector", # Imported directly in connector_tasks.py to avoid circular imports "index_clickup_tasks", "index_confluence_pages", "index_discord_messages", diff --git a/surfsense_backend/app/tasks/connector_indexers/github_indexer.py b/surfsense_backend/app/tasks/connector_indexers/github_indexer.py index e1844a503..4a8df4918 100644 --- a/surfsense_backend/app/tasks/connector_indexers/github_indexer.py +++ b/surfsense_backend/app/tasks/connector_indexers/github_indexer.py @@ -1,5 +1,8 @@ """ -GitHub connector indexer. +GitHub connector indexer using gitingest. + +This indexer processes entire repository digests in one pass, dramatically +reducing LLM API calls compared to the previous file-by-file approach. """ from datetime import UTC, datetime @@ -8,7 +11,7 @@ from sqlalchemy.exc import SQLAlchemyError from sqlalchemy.ext.asyncio import AsyncSession from app.config import config -from app.connectors.github_connector import GitHubConnector +from app.connectors.github_connector import GitHubConnector, RepositoryDigest from app.db import Document, DocumentType, SearchSourceConnectorType from app.services.llm_service import get_user_long_context_llm from app.services.task_logging_service import TaskLoggingService @@ -26,43 +29,55 @@ from .base import ( logger, ) +# Maximum tokens for a single digest before splitting +# Most LLMs can handle 128k+ tokens now, but we'll be conservative +MAX_DIGEST_CHARS = 500_000 # ~125k tokens + async def index_github_repos( session: AsyncSession, connector_id: int, search_space_id: int, user_id: str, - start_date: str | None = None, - end_date: str | None = None, + start_date: str | None = None, # Ignored - GitHub indexes full repo snapshots + end_date: str | None = None, # Ignored - GitHub indexes full repo snapshots update_last_indexed: bool = True, ) -> tuple[int, str | None]: """ - Index code and documentation files from accessible GitHub repositories. + Index GitHub repositories using gitingest for efficient processing. + + This function ingests entire repositories as digests, generates a single + summary per repository, and chunks the content for vector storage. + + Note: The start_date and end_date parameters are accepted for API compatibility + but are IGNORED. GitHub repositories are indexed as complete snapshots since + gitingest captures the current state of the entire codebase. Args: session: Database session connector_id: ID of the GitHub connector search_space_id: ID of the search space to store documents in user_id: ID of the user - start_date: Start date for filtering (YYYY-MM-DD format) - Note: GitHub indexing processes all files regardless of dates - end_date: End date for filtering (YYYY-MM-DD format) - Note: GitHub indexing processes all files regardless of dates + start_date: Ignored - kept for API compatibility + end_date: Ignored - kept for API compatibility update_last_indexed: Whether to update the last_indexed_at timestamp (default: True) Returns: Tuple containing (number of documents indexed, error message or None) """ + # Note: start_date and end_date are intentionally unused + _ = start_date, end_date task_logger = TaskLoggingService(session, search_space_id) # Log task start log_entry = await task_logger.log_task_start( task_name="github_repos_indexing", source="connector_indexing_task", - message=f"Starting GitHub repositories indexing for connector {connector_id}", + message=f"Starting GitHub repositories indexing for connector {connector_id} (using gitingest)", metadata={ "connector_id": connector_id, "user_id": str(user_id), - "start_date": start_date, - "end_date": end_date, + "method": "gitingest", }, ) @@ -93,19 +108,11 @@ async def index_github_repos( f"Connector with ID {connector_id} not found or is not a GitHub connector", ) - # 2. Get the GitHub PAT and selected repositories from the connector config - github_pat = connector.config.get("GITHUB_PAT") + # 2. Get the GitHub PAT (optional) and selected repositories from the connector config + # PAT is only required for private repositories - public repos work without it + github_pat = connector.config.get("GITHUB_PAT") # Can be None or empty repo_full_names_to_index = connector.config.get("repo_full_names") - if not github_pat: - await task_logger.log_task_failure( - log_entry, - f"GitHub Personal Access Token (PAT) not found in connector config for connector {connector_id}", - "Missing GitHub PAT", - {"error_type": "MissingToken"}, - ) - return 0, "GitHub Personal Access Token (PAT) not found in connector config" - if not repo_full_names_to_index or not isinstance( repo_full_names_to_index, list ): @@ -117,10 +124,18 @@ async def index_github_repos( ) return 0, "'repo_full_names' not found or is not a list in connector config" - # 3. Initialize GitHub connector client + # Log whether we're using authentication + if github_pat: + logger.info("Using GitHub PAT for authentication (private repos supported)") + else: + logger.info( + "No GitHub PAT provided - only public repositories can be indexed" + ) + + # 3. Initialize GitHub connector with gitingest backend await task_logger.log_task_progress( log_entry, - f"Initializing GitHub client for connector {connector_id}", + f"Initializing gitingest-based GitHub client for connector {connector_id}", { "stage": "client_initialization", "repo_count": len(repo_full_names_to_index), @@ -138,258 +153,57 @@ async def index_github_repos( ) return 0, f"Failed to initialize GitHub client: {e!s}" - # 4. Validate selected repositories + # 4. Process each repository with gitingest await task_logger.log_task_progress( log_entry, - f"Starting indexing for {len(repo_full_names_to_index)} selected repositories", + f"Starting gitingest processing for {len(repo_full_names_to_index)} repositories", { "stage": "repo_processing", "repo_count": len(repo_full_names_to_index), - "start_date": start_date, - "end_date": end_date, }, ) logger.info( - f"Starting indexing for {len(repo_full_names_to_index)} selected repositories." + f"Starting gitingest indexing for {len(repo_full_names_to_index)} repositories." ) - if start_date and end_date: - logger.info( - f"Date range requested: {start_date} to {end_date} (Note: GitHub indexing processes all files regardless of dates)" - ) - # 6. Iterate through selected repositories and index files for repo_full_name in repo_full_names_to_index: if not repo_full_name or not isinstance(repo_full_name, str): logger.warning(f"Skipping invalid repository entry: {repo_full_name}") continue - logger.info(f"Processing repository: {repo_full_name}") - try: - files_to_index = github_client.get_repository_files(repo_full_name) - if not files_to_index: - logger.info( - f"No indexable files found in repository: {repo_full_name}" - ) - continue + logger.info(f"Ingesting repository: {repo_full_name}") - logger.info( - f"Found {len(files_to_index)} files to process in {repo_full_name}" + try: + # Run gitingest via subprocess (isolated from event loop) + # Using to_thread to not block the async database operations + import asyncio + + digest = await asyncio.to_thread( + github_client.ingest_repository, repo_full_name ) - for file_info in files_to_index: - file_path = file_info.get("path") - file_url = file_info.get("url") - file_sha = file_info.get("sha") - file_type = file_info.get("type") # 'code' or 'doc' - full_path_key = f"{repo_full_name}/{file_path}" - - if not file_path or not file_url or not file_sha: - logger.warning( - f"Skipping file with missing info in {repo_full_name}: {file_info}" - ) - continue - - # Get file content - file_content = github_client.get_file_content( - repo_full_name, file_path + if not digest: + logger.warning( + f"No digest returned for repository: {repo_full_name}" ) + errors.append(f"No digest for {repo_full_name}") + continue - if file_content is None: - logger.warning( - f"Could not retrieve content for {full_path_key}. Skipping." - ) - continue # Skip if content fetch failed + # Process the digest and create documents + docs_created = await _process_repository_digest( + session=session, + digest=digest, + search_space_id=search_space_id, + user_id=user_id, + task_logger=task_logger, + log_entry=log_entry, + ) - # Generate unique identifier hash for this GitHub file - unique_identifier_hash = generate_unique_identifier_hash( - DocumentType.GITHUB_CONNECTOR, file_sha, search_space_id - ) - - # Generate content hash - content_hash = generate_content_hash(file_content, search_space_id) - - # Check if document with this unique identifier already exists - existing_document = await check_document_by_unique_identifier( - session, unique_identifier_hash - ) - - if existing_document: - # Document exists - check if content has changed - if existing_document.content_hash == content_hash: - logger.info( - f"Document for GitHub file {full_path_key} unchanged. Skipping." - ) - continue - else: - # Content has changed - update the existing document - logger.info( - f"Content changed for GitHub file {full_path_key}. Updating document." - ) - - # Generate summary with metadata - user_llm = await get_user_long_context_llm( - session, user_id, search_space_id - ) - if user_llm: - file_extension = ( - file_path.split(".")[-1] - if "." in file_path - else None - ) - document_metadata = { - "file_path": full_path_key, - "repository": repo_full_name, - "file_type": file_extension or "unknown", - "document_type": "GitHub Repository File", - "connector_type": "GitHub", - } - ( - summary_content, - summary_embedding, - ) = await generate_document_summary( - file_content, user_llm, document_metadata - ) - else: - summary_content = f"GitHub file: {full_path_key}\n\n{file_content[:1000]}..." - summary_embedding = ( - config.embedding_model_instance.embed( - summary_content - ) - ) - - # Chunk the content - try: - if hasattr(config, "code_chunker_instance"): - chunks_data = [ - await create_document_chunks(file_content) - ][0] - else: - chunks_data = await create_document_chunks( - file_content - ) - except Exception as chunk_err: - logger.error( - f"Failed to chunk file {full_path_key}: {chunk_err}" - ) - continue - - # Update existing document - existing_document.title = f"GitHub - {full_path_key}" - existing_document.content = summary_content - existing_document.content_hash = content_hash - existing_document.embedding = summary_embedding - existing_document.document_metadata = { - "file_path": file_path, - "file_sha": file_sha, - "file_url": file_url, - "repository": repo_full_name, - "indexed_at": datetime.now(UTC).strftime( - "%Y-%m-%d %H:%M:%S" - ), - } - existing_document.chunks = chunks_data - existing_document.updated_at = get_current_timestamp() - - logger.info( - f"Successfully updated GitHub file {full_path_key}" - ) - continue - - # Document doesn't exist - create new one - # Generate summary with metadata - user_llm = await get_user_long_context_llm( - session, user_id, search_space_id - ) - if user_llm: - # Extract file extension from file path - file_extension = ( - file_path.split(".")[-1] if "." in file_path else None - ) - document_metadata = { - "file_path": full_path_key, - "repository": repo_full_name, - "file_type": file_extension or "unknown", - "document_type": "GitHub Repository File", - "connector_type": "GitHub", - } - ( - summary_content, - summary_embedding, - ) = await generate_document_summary( - file_content, user_llm, document_metadata - ) - else: - # Fallback to simple summary if no LLM configured - summary_content = ( - f"GitHub file: {full_path_key}\n\n{file_content[:1000]}..." - ) - summary_embedding = config.embedding_model_instance.embed( - summary_content - ) - - # Chunk the content - try: - chunks_data = [await create_document_chunks(file_content)][0] - - # Use code chunker if available, otherwise regular chunker - if hasattr(config, "code_chunker_instance"): - chunks_data = [ - { - "content": chunk.text, - "embedding": config.embedding_model_instance.embed( - chunk.text - ), - } - for chunk in config.code_chunker_instance.chunk( - file_content - ) - ] - else: - chunks_data = await create_document_chunks(file_content) - - except Exception as chunk_err: - logger.error( - f"Failed to chunk file {full_path_key}: {chunk_err}" - ) - errors.append( - f"Chunking failed for {full_path_key}: {chunk_err}" - ) - continue # Skip this file if chunking fails - - doc_metadata = { - "repository_full_name": repo_full_name, - "file_path": file_path, - "full_path": full_path_key, # For easier lookup - "url": file_url, - "sha": file_sha, - "type": file_type, - "indexed_at": datetime.now(UTC).isoformat(), - } - - # Create new document - logger.info(f"Creating new document for file: {full_path_key}") - document = Document( - title=f"GitHub - {file_path}", - document_type=DocumentType.GITHUB_CONNECTOR, - document_metadata=doc_metadata, - content=summary_content, # Store summary - content_hash=content_hash, - unique_identifier_hash=unique_identifier_hash, - embedding=summary_embedding, - search_space_id=search_space_id, - chunks=chunks_data, # Associate chunks directly - updated_at=get_current_timestamp(), - ) - session.add(document) - documents_processed += 1 - - # Batch commit every 10 documents - if documents_processed % 10 == 0: - logger.info( - f"Committing batch: {documents_processed} GitHub files processed so far" - ) - await session.commit() + documents_processed += docs_created + logger.info( + f"Created {docs_created} documents from repository: {repo_full_name}" + ) except Exception as repo_err: logger.error( @@ -397,11 +211,11 @@ async def index_github_repos( ) errors.append(f"Failed processing {repo_full_name}: {repo_err}") - # Final commit for any remaining documents not yet committed in batches - logger.info(f"Final commit: Total {documents_processed} GitHub files processed") + # Final commit await session.commit() logger.info( - f"Finished GitHub indexing for connector {connector_id}. Processed {documents_processed} files." + f"Finished GitHub indexing for connector {connector_id}. " + f"Created {documents_processed} documents." ) # Log success @@ -412,6 +226,7 @@ async def index_github_repos( "documents_processed": documents_processed, "errors_count": len(errors), "repo_count": len(repo_full_names_to_index), + "method": "gitingest", }, ) @@ -428,6 +243,7 @@ async def index_github_repos( ) errors.append(f"Database error: {db_err}") return documents_processed, "; ".join(errors) if errors else str(db_err) + except Exception as e: await session.rollback() await task_logger.log_task_failure( @@ -445,3 +261,169 @@ async def index_github_repos( error_message = "; ".join(errors) if errors else None return documents_processed, error_message + + +async def _process_repository_digest( + session: AsyncSession, + digest: RepositoryDigest, + search_space_id: int, + user_id: str, + task_logger: TaskLoggingService, + log_entry, +) -> int: + """ + Process a repository digest and create documents. + + For each repository, we create: + 1. One main document with the repository summary + 2. Chunks from the full digest content for granular search + + Args: + session: Database session + digest: The repository digest from gitingest + search_space_id: ID of the search space + user_id: ID of the user + task_logger: Task logging service + log_entry: Current log entry + + Returns: + Number of documents created + """ + repo_full_name = digest.repo_full_name + documents_created = 0 + + # Generate unique identifier based on repo name and content hash + # This allows updates when repo content changes + full_content = digest.full_digest + content_hash = generate_content_hash(full_content, search_space_id) + + # Use repo name as the unique identifier (one document per repo) + unique_identifier_hash = generate_unique_identifier_hash( + DocumentType.GITHUB_CONNECTOR, repo_full_name, search_space_id + ) + + # Check if document with this unique identifier already exists + existing_document = await check_document_by_unique_identifier( + session, unique_identifier_hash + ) + + if existing_document: + # Document exists - check if content has changed + if existing_document.content_hash == content_hash: + logger.info(f"Repository {repo_full_name} unchanged. Skipping.") + return 0 + else: + logger.info( + f"Content changed for repository {repo_full_name}. Updating document." + ) + # Delete existing document to replace with new one + await session.delete(existing_document) + await session.flush() + + # Generate summary using LLM (ONE call per repository!) + user_llm = await get_user_long_context_llm(session, user_id, search_space_id) + + document_metadata = { + "repository": repo_full_name, + "document_type": "GitHub Repository", + "connector_type": "GitHub", + "ingestion_method": "gitingest", + "file_tree": digest.tree[:2000] if len(digest.tree) > 2000 else digest.tree, + "estimated_tokens": digest.estimated_tokens, + } + + if user_llm: + # Prepare content for summarization + # Include tree structure and truncated content if too large + summary_content = digest.full_digest + if len(summary_content) > MAX_DIGEST_CHARS: + # Truncate but keep the tree and beginning of content + summary_content = ( + f"# Repository: {repo_full_name}\n\n" + f"## File Structure\n\n{digest.tree}\n\n" + f"## File Contents (truncated)\n\n{digest.content[: MAX_DIGEST_CHARS - len(digest.tree) - 200]}..." + ) + + summary_text, summary_embedding = await generate_document_summary( + summary_content, user_llm, document_metadata + ) + else: + # Fallback to simple summary if no LLM configured + summary_text = ( + f"# GitHub Repository: {repo_full_name}\n\n" + f"## Summary\n{digest.summary}\n\n" + f"## File Structure\n{digest.tree[:3000]}" + ) + summary_embedding = config.embedding_model_instance.embed(summary_text) + + # Chunk the full digest content for granular search + try: + # Use the content (not the summary) for chunking + # This preserves file-level granularity in search + chunks_data = await create_document_chunks(digest.content) + except Exception as chunk_err: + logger.error(f"Failed to chunk repository {repo_full_name}: {chunk_err}") + # Fall back to a simpler chunking approach + chunks_data = await _simple_chunk_content(digest.content) + + # Create the document + doc_metadata = { + "repository_full_name": repo_full_name, + "url": f"https://github.com/{repo_full_name}", + "branch": digest.branch, + "ingestion_method": "gitingest", + "file_tree": digest.tree, + "gitingest_summary": digest.summary, + "estimated_tokens": digest.estimated_tokens, + "indexed_at": datetime.now(UTC).isoformat(), + } + + document = Document( + title=f"GitHub Repository: {repo_full_name}", + document_type=DocumentType.GITHUB_CONNECTOR, + document_metadata=doc_metadata, + content=summary_text, + content_hash=content_hash, + unique_identifier_hash=unique_identifier_hash, + embedding=summary_embedding, + search_space_id=search_space_id, + chunks=chunks_data, + updated_at=get_current_timestamp(), + ) + + session.add(document) + documents_created += 1 + + logger.info( + f"Created document for repository {repo_full_name} " + f"with {len(chunks_data)} chunks" + ) + + return documents_created + + +async def _simple_chunk_content(content: str, chunk_size: int = 4000) -> list: + """ + Simple fallback chunking when the regular chunker fails. + + Args: + content: The content to chunk + chunk_size: Size of each chunk in characters + + Returns: + List of chunk dictionaries with content and embedding + """ + from app.db import Chunk + + chunks = [] + for i in range(0, len(content), chunk_size): + chunk_text = content[i : i + chunk_size] + if chunk_text.strip(): + chunks.append( + Chunk( + content=chunk_text, + embedding=config.embedding_model_instance.embed(chunk_text), + ) + ) + + return chunks diff --git a/surfsense_backend/app/utils/validators.py b/surfsense_backend/app/utils/validators.py index 54e681518..6a87679ec 100644 --- a/surfsense_backend/app/utils/validators.py +++ b/surfsense_backend/app/utils/validators.py @@ -530,7 +530,10 @@ def validate_connector_config( # "validators": {}, # }, "GITHUB_CONNECTOR": { - "required": ["GITHUB_PAT", "repo_full_names"], + # GITHUB_PAT is optional - only required for private repositories + # Public repositories can be indexed without authentication + "required": ["repo_full_names"], + "optional": ["GITHUB_PAT"], # Optional - only needed for private repos "validators": { "repo_full_names": lambda: validate_list_field( "repo_full_names", "repo_full_names" diff --git a/surfsense_backend/pyproject.toml b/surfsense_backend/pyproject.toml index 83a00b4e4..f96619607 100644 --- a/surfsense_backend/pyproject.toml +++ b/surfsense_backend/pyproject.toml @@ -60,6 +60,8 @@ dependencies = [ "mcp>=1.25.0", "starlette>=0.40.0,<0.51.0", "sse-starlette>=3.1.1,<3.1.2", + "gitingest>=0.3.1", + "composio>=0.10.9", ] [dependency-groups] diff --git a/surfsense_backend/uv.lock b/surfsense_backend/uv.lock index ef01847f8..96282380b 100644 --- a/surfsense_backend/uv.lock +++ b/surfsense_backend/uv.lock @@ -1,5 +1,5 @@ version = 1 -revision = 3 +revision = 1 requires-python = ">=3.12" resolution-markers = [ "python_full_version >= '3.14' and sys_platform == 'darwin'", @@ -33,36 +33,36 @@ dependencies = [ { name = "safetensors" }, { name = "torch" }, ] -sdist = { url = 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OnboardingTour } from "@/components/onboarding-tour"; import { Card, CardContent, CardDescription, CardHeader, CardTitle } from "@/components/ui/card"; @@ -197,11 +196,7 @@ export function DashboardClientLayout({ return ( - } - languageSwitcher={} - > + }> {children} diff --git a/surfsense_web/app/dashboard/[search_space_id]/new-chat/[[...chat_id]]/page.tsx b/surfsense_web/app/dashboard/[search_space_id]/new-chat/[[...chat_id]]/page.tsx index 43c33ba5a..4d43b7f64 100644 --- a/surfsense_web/app/dashboard/[search_space_id]/new-chat/[[...chat_id]]/page.tsx +++ b/surfsense_web/app/dashboard/[search_space_id]/new-chat/[[...chat_id]]/page.tsx @@ -24,6 +24,7 @@ import { // extractWriteTodosFromContent, hydratePlanStateAtom, } from "@/atoms/chat/plan-state.atom"; +import { membersAtom } from "@/atoms/members/members-query.atoms"; import { currentUserAtom } from "@/atoms/user/user-query.atoms"; import { Thread } from "@/components/assistant-ui/thread"; import { ChatHeader } from "@/components/new-chat/chat-header"; @@ -32,6 +33,9 @@ import { DisplayImageToolUI } from "@/components/tool-ui/display-image"; import { GeneratePodcastToolUI } from "@/components/tool-ui/generate-podcast"; import { LinkPreviewToolUI } from "@/components/tool-ui/link-preview"; import { ScrapeWebpageToolUI } from "@/components/tool-ui/scrape-webpage"; +import { RecallMemoryToolUI, SaveMemoryToolUI } from "@/components/tool-ui/user-memory"; +import { useChatSessionStateSync } from "@/hooks/use-chat-session-state"; +import { useMessagesElectric } from "@/hooks/use-messages-electric"; // import { WriteTodosToolUI } from "@/components/tool-ui/write-todos"; import { getBearerToken } from "@/lib/auth-utils"; import { createAttachmentAdapter, extractAttachmentContent } from "@/lib/chat/attachment-adapter"; @@ -257,6 +261,53 @@ export default function NewChatPage() { // Get current user for author info in shared chats const { data: currentUser } = useAtomValue(currentUserAtom); + // Live collaboration: sync session state and messages via Electric SQL + useChatSessionStateSync(threadId); + const { data: membersData } = useAtomValue(membersAtom); + + const handleElectricMessagesUpdate = useCallback( + ( + electricMessages: { + id: number; + thread_id: number; + role: string; + content: unknown; + author_id: string | null; + created_at: string; + }[] + ) => { + if (isRunning) { + return; + } + + setMessages((prev) => { + if (electricMessages.length < prev.length) { + return prev; + } + + return electricMessages.map((msg) => { + const member = msg.author_id + ? membersData?.find((m) => m.user_id === msg.author_id) + : null; + + return convertToThreadMessage({ + id: msg.id, + thread_id: msg.thread_id, + role: msg.role.toLowerCase() as "user" | "assistant" | "system", + content: msg.content, + author_id: msg.author_id, + created_at: msg.created_at, + author_display_name: member?.user_display_name ?? null, + author_avatar_url: member?.user_avatar_url ?? null, + }); + }); + }); + }, + [isRunning, membersData] + ); + + useMessagesElectric(threadId, handleElectricMessagesUpdate); + // Create the attachment adapter for file processing const attachmentAdapter = useMemo(() => createAttachmentAdapter(), []); @@ -367,7 +418,7 @@ export default function NewChatPage() { initializeThread(); }, [initializeThread]); - // Handle scroll to comment from URL query params (e.g., from notification click) + // Handle scroll to comment from URL query params (e.g., from inbox item click) const searchParams = useSearchParams(); const targetCommentId = searchParams.get("commentId"); @@ -586,8 +637,6 @@ export default function NewChatPage() { content: persistContent, }) .then(() => { - // For new threads, the backend updates the title from the first user message - // Invalidate threads query so sidebar shows the updated title in real-time if (isNewThread) { queryClient.invalidateQueries({ queryKey: ["threads", String(searchSpaceId)] }); } @@ -1056,17 +1105,13 @@ export default function NewChatPage() { + + {/* Disabled for now */}
- } + header={} />
diff --git a/surfsense_web/app/dashboard/[search_space_id]/team/page.tsx b/surfsense_web/app/dashboard/[search_space_id]/team/page.tsx index f00982555..b661e9222 100644 --- a/surfsense_web/app/dashboard/[search_space_id]/team/page.tsx +++ b/surfsense_web/app/dashboard/[search_space_id]/team/page.tsx @@ -3,29 +3,38 @@ import { useQuery } from "@tanstack/react-query"; import { useAtomValue } from "jotai"; import { + Bot, Calendar, Check, Clock, Copy, Crown, Edit2, + FileText, Hash, Link2, LinkIcon, Loader2, + Logs, + type LucideIcon, + MessageCircle, + MessageSquare, + Mic, MoreHorizontal, + Plug, Plus, RefreshCw, Search, + Settings, Shield, ShieldCheck, Trash2, - User, UserMinus, UserPlus, Users, } from "lucide-react"; import { motion } from "motion/react"; +import Image from "next/image"; import { useParams } from "next/navigation"; import { useCallback, useEffect, useMemo, useState } from "react"; import { toast } from "sonner"; @@ -512,6 +521,25 @@ export default function TeamManagementPage() { // ============ Members Tab ============ +// Helper function to get avatar initials +function getAvatarInitials(member: Membership): string { + // Try display name first + if (member.user_display_name) { + const parts = member.user_display_name.trim().split(/\s+/); + if (parts.length >= 2) { + return (parts[0][0] + parts[1][0]).toUpperCase(); + } + return member.user_display_name.slice(0, 2).toUpperCase(); + } + // Try email + if (member.user_email) { + const emailName = member.user_email.split("@")[0]; + return emailName.slice(0, 2).toUpperCase(); + } + // Fallback + return "U"; +} + function MembersTab({ members, roles, @@ -560,7 +588,7 @@ function MembersTab({
setSearchQuery(e.target.value)} className="pl-9" @@ -573,10 +601,30 @@ function MembersTab({ - Member - Role - Joined - Actions + +
+ + Member +
+ + +
+ + Role +
+ + +
+ + Joined +
+ + +
+ + Actions +
+ @@ -601,19 +649,36 @@ function MembersTab({
-
- -
+ {member.user_avatar_url ? ( + + ) : ( +
+ + {getAvatarInitials(member)} + +
+ )} {member.is_owner && ( -
+
)}

- {member.user_email || "Unknown"} + {member.user_display_name || member.user_email || "Unknown"}

+ {member.user_display_name && member.user_email && ( +

+ {member.user_email} +

+ )} {member.is_owner && ( No role {roles.map((role) => ( -
- - {role.name} -
+ {role.name} ))} ) : ( - - + {member.role?.name || "No role"} )} -
- + {new Date(member.joined_at).toLocaleDateString()} -
+ {canRemove && !member.is_owner && ( @@ -708,13 +765,137 @@ function MembersTab({ ); } +// ============ Role Permissions Display ============ + +const CATEGORY_CONFIG: Record = { + documents: { label: "Documents", icon: FileText, order: 1 }, + chats: { label: "Chats", icon: MessageSquare, order: 2 }, + comments: { label: "Comments", icon: MessageCircle, order: 3 }, + llm_configs: { label: "LLM Configs", icon: Bot, order: 4 }, + podcasts: { label: "Podcasts", icon: Mic, order: 5 }, + connectors: { label: "Connectors", icon: Plug, order: 6 }, + logs: { label: "Logs", icon: Logs, order: 7 }, + members: { label: "Members", icon: Users, order: 8 }, + roles: { label: "Roles", icon: Shield, order: 9 }, + settings: { label: "Settings", icon: Settings, order: 10 }, +}; + +const ACTION_LABELS: Record = { + create: "Create", + read: "Read", + update: "Update", + delete: "Delete", + invite: "Invite", + view: "View", + remove: "Remove", + manage_roles: "Manage Roles", +}; + +function RolePermissionsDisplay({ permissions }: { permissions: string[] }) { + if (permissions.includes("*")) { + return ( +
+
+ +
+
+

Full Access

+

All permissions granted

+
+
+ ); + } + + // Group permissions by category + const grouped: Record = {}; + for (const perm of permissions) { + const [category, action] = perm.split(":"); + if (!grouped[category]) grouped[category] = []; + grouped[category].push(action); + } + + // Sort categories by predefined order + const sortedCategories = Object.keys(grouped).sort((a, b) => { + const orderA = CATEGORY_CONFIG[a]?.order ?? 99; + const orderB = CATEGORY_CONFIG[b]?.order ?? 99; + return orderA - orderB; + }); + + const categoryCount = sortedCategories.length; + + return ( + + + + + + + + + Role Permissions + + + {permissions.length} permissions across {categoryCount} categories + + + +
+ {sortedCategories.map((category) => { + const actions = grouped[category]; + const config = CATEGORY_CONFIG[category] || { label: category, icon: FileText }; + const IconComponent = config.icon; + return ( +
+
+ + {config.label} +
+
+ {actions.map((action) => ( + + {ACTION_LABELS[action] || action.replace(/_/g, " ")} + + ))} +
+
+ ); + })} +
+ + + + ); +} + // ============ Roles Tab ============ function RolesTab({ roles, - groupedPermissions, + groupedPermissions: _groupedPermissions, loading, - onUpdateRole, + onUpdateRole: _onUpdateRole, onDeleteRole, canUpdate, canDelete, @@ -778,8 +959,7 @@ function RolesTab({ role.name === "Owner" && "text-amber-600", role.name === "Editor" && "text-blue-600", role.name === "Viewer" && "text-gray-600", - !["Owner", "Editor", "Viewer"].includes(role.name) && - "text-primary" + !["Owner", "Editor", "Viewer"].includes(role.name) && "text-primary" )} />
@@ -853,32 +1033,7 @@ function RolesTab({ )} -
- -
- {role.permissions.includes("*") ? ( - - Full Access - - ) : ( - role.permissions.slice(0, 5).map((perm) => ( - - {perm.replace(":", " ")} - - )) - )} - {!role.permissions.includes("*") && role.permissions.length > 5 && ( - - +{role.permissions.length - 5} more - - )} -
-
+ @@ -1488,7 +1643,8 @@ function CreateRoleDialog({

- Use presets to quickly apply Editor (create/read/update) or Viewer (read-only) permissions + Use presets to quickly apply Editor (create/read/update) or Viewer (read-only) + permissions

@@ -1500,8 +1656,10 @@ function CreateRoleDialog({ return (
- +
{perms.map((perm) => ( - + ))}
diff --git a/surfsense_web/app/globals.css b/surfsense_web/app/globals.css index 7324ffeb3..cf6f48437 100644 --- a/surfsense_web/app/globals.css +++ b/surfsense_web/app/globals.css @@ -113,6 +113,8 @@ --radius-md: calc(var(--radius) - 2px); --radius-lg: var(--radius); --radius-xl: calc(var(--radius) + 4px); + --radius-2xl: calc(var(--radius) + 8px); + --radius-3xl: calc(var(--radius) + 12px); --color-sidebar: var(--sidebar); --color-sidebar-foreground: var(--sidebar-foreground); --color-sidebar-primary: var(--sidebar-primary); diff --git a/surfsense_web/atoms/chat/chat-session-state.atom.ts b/surfsense_web/atoms/chat/chat-session-state.atom.ts new file mode 100644 index 000000000..4d83a45d4 --- /dev/null +++ b/surfsense_web/atoms/chat/chat-session-state.atom.ts @@ -0,0 +1,15 @@ +"use client"; + +import { atom } from "jotai"; + +export interface ChatSessionStateData { + threadId: number; + isAiResponding: boolean; + respondingToUserId: string | null; +} + +/** + * Global chat session state atom. + * Updated by useChatSessionStateSync hook, read anywhere. + */ +export const chatSessionStateAtom = atom(null); diff --git a/surfsense_web/atoms/chat/current-thread.atom.ts b/surfsense_web/atoms/chat/current-thread.atom.ts index 1231887f8..c19b2638c 100644 --- a/surfsense_web/atoms/chat/current-thread.atom.ts +++ b/surfsense_web/atoms/chat/current-thread.atom.ts @@ -47,6 +47,11 @@ export const addingCommentToMessageIdAtom = atom( } ); +// Setter atom for updating thread visibility +export const setThreadVisibilityAtom = atom(null, (get, set, newVisibility: ChatVisibility) => { + set(currentThreadAtom, { ...get(currentThreadAtom), visibility: newVisibility }); +}); + export const resetCurrentThreadAtom = atom(null, (_, set) => { set(currentThreadAtom, initialState); }); diff --git a/surfsense_web/atoms/members/members-query.atoms.ts b/surfsense_web/atoms/members/members-query.atoms.ts index 8ed56ef0c..f486dc02b 100644 --- a/surfsense_web/atoms/members/members-query.atoms.ts +++ b/surfsense_web/atoms/members/members-query.atoms.ts @@ -9,7 +9,7 @@ export const membersAtom = atomWithQuery((get) => { return { queryKey: cacheKeys.members.all(searchSpaceId?.toString() ?? ""), enabled: !!searchSpaceId, - staleTime: 5 * 60 * 1000, // 5 minutes + staleTime: 3 * 1000, // 3 seconds - short staleness for live collaboration queryFn: async () => { if (!searchSpaceId) { return []; diff --git a/surfsense_web/components/assistant-ui/assistant-message.tsx b/surfsense_web/components/assistant-ui/assistant-message.tsx index 681dc315a..b3cfc4476 100644 --- a/surfsense_web/components/assistant-ui/assistant-message.tsx +++ b/surfsense_web/components/assistant-ui/assistant-message.tsx @@ -191,7 +191,7 @@ export const AssistantMessage: FC = () => { {/* Mobile & Medium screen comment trigger - shown below lg breakpoint */} {showCommentTrigger && !isDesktop && ( -
+
+
+ ); +}; diff --git a/surfsense_web/components/assistant-ui/connector-popup/config/connector-status-config.json b/surfsense_web/components/assistant-ui/connector-popup/config/connector-status-config.json index 6ed792b8e..b729c3f8b 100644 --- a/surfsense_web/components/assistant-ui/connector-popup/config/connector-status-config.json +++ b/surfsense_web/components/assistant-ui/connector-popup/config/connector-status-config.json @@ -24,11 +24,6 @@ "enabled": true, "status": "warning", "statusMessage": "Some requests may be blocked if not using Firecrawl." - }, - "GITHUB_CONNECTOR": { - "enabled": false, - "status": "maintenance", - "statusMessage": "Rework in progress." } }, "globalSettings": { diff --git a/surfsense_web/components/assistant-ui/connector-popup/connect-forms/components/github-connect-form.tsx b/surfsense_web/components/assistant-ui/connector-popup/connect-forms/components/github-connect-form.tsx index b2b371ed8..9d0ef2c45 100644 --- a/surfsense_web/components/assistant-ui/connector-popup/connect-forms/components/github-connect-form.tsx +++ b/surfsense_web/components/assistant-ui/connector-popup/connect-forms/components/github-connect-form.tsx @@ -1,17 +1,12 @@ "use client"; import { zodResolver } from "@hookform/resolvers/zod"; -import { Info } from "lucide-react"; +import { ExternalLink, Info } from "lucide-react"; +import Link from "next/link"; import type { FC } from "react"; import { useRef, useState } from "react"; import { useForm } from "react-hook-form"; import * as z from "zod"; -import { - Accordion, - AccordionContent, - AccordionItem, - AccordionTrigger, -} from "@/components/ui/accordion"; import { Alert, AlertDescription, AlertTitle } from "@/components/ui/alert"; import { Badge } from "@/components/ui/badge"; import { @@ -34,8 +29,6 @@ import { } from "@/components/ui/select"; import { Switch } from "@/components/ui/switch"; import { EnumConnectorName } from "@/contracts/enums/connector"; -import { DateRangeSelector } from "../../components/date-range-selector"; -import { getConnectorBenefits } from "../connector-benefits"; import type { ConnectFormProps } from "../index"; const githubConnectorFormSchema = z.object({ @@ -44,10 +37,8 @@ const githubConnectorFormSchema = z.object({ }), github_pat: z .string() - .min(20, { - message: "GitHub Personal Access Token seems too short.", - }) - .refine((pat) => pat.startsWith("ghp_") || pat.startsWith("github_pat_"), { + .optional() + .refine((pat) => !pat || pat.startsWith("ghp_") || pat.startsWith("github_pat_"), { message: "GitHub PAT should start with 'ghp_' or 'github_pat_'", }), repo_full_names: z.string().min(1, { @@ -59,8 +50,6 @@ type GithubConnectorFormValues = z.infer; export const GithubConnectForm: FC = ({ onSubmit, isSubmitting }) => { const isSubmittingRef = useRef(false); - const [startDate, setStartDate] = useState(undefined); - const [endDate, setEndDate] = useState(undefined); const [periodicEnabled, setPeriodicEnabled] = useState(false); const [frequencyMinutes, setFrequencyMinutes] = useState("1440"); const form = useForm({ @@ -94,16 +83,18 @@ export const GithubConnectForm: FC = ({ onSubmit, isSubmitting name: values.name, connector_type: EnumConnectorName.GITHUB_CONNECTOR, config: { - GITHUB_PAT: values.github_pat, + GITHUB_PAT: values.github_pat || null, // Optional - only for private repos repo_full_names: repoList, }, is_indexable: true, + is_active: true, last_indexed_at: null, periodic_indexing_enabled: periodicEnabled, indexing_frequency_minutes: periodicEnabled ? parseInt(frequencyMinutes, 10) : null, next_scheduled_at: null, - startDate, - endDate, + // GitHub indexes full repo snapshots - no date range needed + startDate: undefined, + endDate: undefined, periodicEnabled, frequencyMinutes, }); @@ -117,18 +108,19 @@ export const GithubConnectForm: FC = ({ onSubmit, isSubmitting
- Personal Access Token Required + Personal Access Token (Optional) - You'll need a GitHub Personal Access Token to use this connector. You can create one - from{" "} + A GitHub PAT is only required for private repositories. Public repos work without a + token.{" "} - GitHub Settings - + Get your token + + {" "}
@@ -167,7 +159,10 @@ export const GithubConnectForm: FC = ({ onSubmit, isSubmitting name="github_pat" render={({ field }) => ( - GitHub Personal Access Token + + GitHub Personal Access Token{" "} + (optional) + = ({ onSubmit, isSubmitting /> - Your GitHub PAT will be encrypted and stored securely. It typically starts with - "ghp_" or "github_pat_". + Only required for private repositories. Leave empty if indexing public repos + only. @@ -225,15 +220,9 @@ export const GithubConnectForm: FC = ({ onSubmit, isSubmitting {/* Indexing Configuration */}
-

Indexing Configuration

+

Sync Configuration

- {/* Date Range Selector */} - + {/* Note: No date range for GitHub - it indexes full repo snapshots */} {/* Periodic Sync Config */}
@@ -301,169 +290,18 @@ export const GithubConnectForm: FC = ({ onSubmit, isSubmitting
- {/* What you get section */} - {getConnectorBenefits(EnumConnectorName.GITHUB_CONNECTOR) && ( -
-

What you get with GitHub integration:

-
    - {getConnectorBenefits(EnumConnectorName.GITHUB_CONNECTOR)?.map((benefit) => ( -
  • {benefit}
    • - ))} -
-
- )} - - {/* Documentation Section */} - - - - Documentation - - -
-

How it works

-

- The GitHub connector uses a Personal Access Token (PAT) to authenticate with the - GitHub API. You provide a comma-separated list of repository full names (e.g., - "owner/repo1, owner/repo2") that you want to index. The connector indexes relevant - files (code, markdown, text) from the selected repositories. -

-
    -
  • - The connector indexes files based on common code and documentation extensions. -
    • -
  • Large files (over 1MB) are skipped during indexing.
    • -
  • Only specified repositories are indexed.
    • -
  • - Indexing runs periodically (check connector settings for frequency) to keep - content up-to-date. -
    • -
-
- -
-
-

Authorization

- - - - Personal Access Token Required - - - You'll need a GitHub PAT with the appropriate scopes (e.g., 'repo') to fetch - repositories. The PAT will be stored securely to enable indexing. - - - -
-
-

- Step 1: Generate GitHub PAT -

-
    -
  1. - Go to your GitHub{" "} - - Developer settings - -
    2. -
  2. - Click on Personal access tokens, then choose{" "} - Tokens (classic) or Fine-grained tokens{" "} - (recommended if available). -
    3. -
  3. - Click Generate new token (and choose the appropriate type). -
    4. -
  4. Give your token a descriptive name (e.g., "SurfSense Connector").
    5. -
  5. Set an expiration date for the token (recommended for security).
    6. -
  6. - Under Select scopes (for classic tokens) or{" "} - Repository access (for fine-grained), grant the necessary - permissions. At minimum, the `repo` scope (or equivalent - read access to repositories for fine-grained tokens) is required to read - repository content. -
    7. -
  7. - Click Generate token. -
    8. -
  8. - Important: Copy your new PAT immediately. You won't be able - to see it again after leaving the page. -
    9. -
-
- -
-

- Step 2: Specify repositories -

-

- Enter a comma-separated list of repository full names in the format - "owner/repo1, owner/repo2". The connector will index files from only the - specified repositories. -

- - - Repository Access - - Make sure your PAT has access to all repositories you want to index. Private - repositories require appropriate permissions. - - -
-
-
-
- -
-
-

Indexing

-
    -
  1. - Navigate to the Connector Dashboard and select the GitHub{" "} - Connector. -
    2. -
  2. - Enter your GitHub Personal Access Token in the form field. -
    3. -
  3. - Enter a comma-separated list of Repository Names (e.g., - "owner/repo1, owner/repo2"). -
    4. -
  4. - Click Connect to establish the connection. -
    5. -
  5. Once connected, your GitHub repositories will be indexed automatically.
    6. -
- - - - What Gets Indexed - -

The GitHub connector indexes the following data:

-
    -
  • Code files from selected repositories
    • -
  • README files and Markdown documentation
    • -
  • Common text-based file formats
    • -
  • Repository metadata and structure
    • -
- - -
-
- - - + {/* Documentation Link */} +
+ + View GitHub Connector Documentation + + +
); }; diff --git a/surfsense_web/components/assistant-ui/connector-popup/connector-configs/components/composio-config.tsx b/surfsense_web/components/assistant-ui/connector-popup/connector-configs/components/composio-config.tsx new file mode 100644 index 000000000..6fe37e1e5 --- /dev/null +++ b/surfsense_web/components/assistant-ui/connector-popup/connector-configs/components/composio-config.tsx @@ -0,0 +1,160 @@ +"use client"; + +import { ExternalLink, Info, Zap } from "lucide-react"; +import Image from "next/image"; +import type { FC } from "react"; +import { Badge } from "@/components/ui/badge"; +import type { SearchSourceConnector } from "@/contracts/types/connector.types"; +import { cn } from "@/lib/utils"; + +interface ComposioConfigProps { + connector: SearchSourceConnector; + onConfigChange?: (config: Record) => void; + onNameChange?: (name: string) => void; +} + +// Get toolkit display info +const getToolkitInfo = (toolkitId: string): { name: string; icon: string; description: string } => { + switch (toolkitId) { + case "googledrive": + return { + name: "Google Drive", + icon: "/connectors/google-drive.svg", + description: "Files and documents from Google Drive", + }; + case "gmail": + return { + name: "Gmail", + icon: "/connectors/google-gmail.svg", + description: "Emails from Gmail", + }; + case "googlecalendar": + return { + name: "Google Calendar", + icon: "/connectors/google-calendar.svg", + description: "Events from Google Calendar", + }; + case "slack": + return { + name: "Slack", + icon: "/connectors/slack.svg", + description: "Messages from Slack", + }; + case "notion": + return { + name: "Notion", + icon: "/connectors/notion.svg", + description: "Pages from Notion", + }; + case "github": + return { + name: "GitHub", + icon: "/connectors/github.svg", + description: "Repositories from GitHub", + }; + default: + return { + name: toolkitId, + icon: "/connectors/composio.svg", + description: "Connected via Composio", + }; + } +}; + +export const ComposioConfig: FC = ({ connector }) => { + const toolkitId = connector.config?.toolkit_id as string; + const toolkitName = connector.config?.toolkit_name as string; + const isIndexable = connector.config?.is_indexable as boolean; + const composioAccountId = connector.config?.composio_connected_account_id as string; + + const toolkitInfo = getToolkitInfo(toolkitId); + + return ( +
+ {/* Toolkit Info Card */} +
+
+
+ +
+
+
+

{toolkitName || toolkitInfo.name}

+ + + Composio + +
+

{toolkitInfo.description}

+
+
+
+ + {/* Connection Details */} +
+

+ Connection Details +

+
+
+ Toolkit + {toolkitId} +
+
+ Indexing Supported + + {isIndexable ? "Yes" : "Coming Soon"} + +
+ {composioAccountId && ( +
+ Account ID + + {composioAccountId} + +
+ )} +
+
+ + {/* Info Banner */} +
+
+ +
+

+ This connection uses Composio's managed OAuth, which means you don't need to + wait for app verification. Your data is securely accessed through Composio. +

+ + Learn more about Composio + + +
+
+
+
+ ); +}; diff --git a/surfsense_web/components/assistant-ui/connector-popup/connector-configs/components/github-config.tsx b/surfsense_web/components/assistant-ui/connector-popup/connector-configs/components/github-config.tsx index 07c7bdfbc..2c28758b8 100644 --- a/surfsense_web/components/assistant-ui/connector-popup/connector-configs/components/github-config.tsx +++ b/surfsense_web/components/assistant-ui/connector-popup/connector-configs/components/github-config.tsx @@ -2,7 +2,7 @@ import { KeyRound } from "lucide-react"; import type { FC } from "react"; -import { useEffect, useState } from "react"; +import { useEffect, useRef, useState } from "react"; import { Badge } from "@/components/ui/badge"; import { Input } from "@/components/ui/input"; import { Label } from "@/components/ui/label"; @@ -12,25 +12,29 @@ export interface GithubConfigProps extends ConnectorConfigProps { onNameChange?: (name: string) => void; } +// Helper functions moved outside component to avoid useEffect dependency issues +const stringToArray = (arr: string[] | string | undefined): string[] => { + if (Array.isArray(arr)) return arr; + if (typeof arr === "string") { + return arr + .split(",") + .map((item) => item.trim()) + .filter((item) => item.length > 0); + } + return []; +}; + +const arrayToString = (arr: string[]): string => { + return arr.join(", "); +}; + export const GithubConfig: FC = ({ connector, onConfigChange, onNameChange, }) => { - const stringToArray = (arr: string[] | string | undefined): string[] => { - if (Array.isArray(arr)) return arr; - if (typeof arr === "string") { - return arr - .split(",") - .map((item) => item.trim()) - .filter((item) => item.length > 0); - } - return []; - }; - - const arrayToString = (arr: string[]): string => { - return arr.join(", "); - }; + // Track internal changes to prevent useEffect from overwriting user input + const isInternalChange = useRef(false); const [githubPat, setGithubPat] = useState( (connector.config?.GITHUB_PAT as string) || "" @@ -40,8 +44,13 @@ export const GithubConfig: FC = ({ ); const [name, setName] = useState(connector.name || ""); - // Update values when connector changes + // Update values when connector changes externally (not from our own input) useEffect(() => { + // Skip if this is our own internal change + if (isInternalChange.current) { + isInternalChange.current = false; + return; + } const pat = (connector.config?.GITHUB_PAT as string) || ""; const repos = arrayToString(stringToArray(connector.config?.repo_full_names)); setGithubPat(pat); @@ -50,6 +59,7 @@ export const GithubConfig: FC = ({ }, [connector.config, connector.name]); const handleGithubPatChange = (value: string) => { + isInternalChange.current = true; setGithubPat(value); if (onConfigChange) { onConfigChange({ @@ -60,6 +70,7 @@ export const GithubConfig: FC = ({ }; const handleRepoFullNamesChange = (value: string) => { + isInternalChange.current = true; setRepoFullNames(value); const repoList = stringToArray(value); if (onConfigChange) { @@ -71,6 +82,7 @@ export const GithubConfig: FC = ({ }; const handleNameChange = (value: string) => { + isInternalChange.current = true; setName(value); if (onNameChange) { onNameChange(value); @@ -105,7 +117,7 @@ export const GithubConfig: FC = ({
= ({ {/* Date range selector and periodic sync - only shown for indexable connectors */} {connector.is_indexable && ( <> - {/* Date range selector - not shown for Google Drive (uses folder selection) or Webcrawler (uses config) */} + {/* Date range selector - not shown for Google Drive, Webcrawler, or GitHub (indexes full repo snapshots) */} {connector.connector_type !== "GOOGLE_DRIVE_CONNECTOR" && - connector.connector_type !== "WEBCRAWLER_CONNECTOR" && ( + connector.connector_type !== "WEBCRAWLER_CONNECTOR" && + connector.connector_type !== "GITHUB_CONNECTOR" && ( = ({ {/* Date range selector and periodic sync - only shown for indexable connectors */} {connector?.is_indexable && ( <> - {/* Date range selector - not shown for Google Drive (uses folder selection) or Webcrawler (uses config) */} + {/* Date range selector - not shown for Google Drive, Webcrawler, or GitHub (indexes full repo snapshots) */} {config.connectorType !== "GOOGLE_DRIVE_CONNECTOR" && - config.connectorType !== "WEBCRAWLER_CONNECTOR" && ( + config.connectorType !== "WEBCRAWLER_CONNECTOR" && + config.connectorType !== "GITHUB_CONNECTOR" && ( { // MCP list view state (for managing multiple MCP connectors) const [viewingMCPList, setViewingMCPList] = useState(false); + // Composio toolkit view state + const [viewingComposio, setViewingComposio] = useState(false); + const [connectingComposioToolkit, setConnectingComposioToolkit] = useState(null); + // Track if we came from accounts list when entering edit mode const [cameFromAccountsList, setCameFromAccountsList] = useState<{ connectorType: string; @@ -155,6 +159,17 @@ export const useConnectorDialog = () => { setViewingMCPList(true); } + // Clear Composio view if view is not "composio" anymore + if (params.view !== "composio" && viewingComposio) { + setViewingComposio(false); + setConnectingComposioToolkit(null); + } + + // Handle Composio view + if (params.view === "composio" && !viewingComposio) { + setViewingComposio(true); + } + // Handle connect view if (params.view === "connect" && params.connectorType && !connectingConnectorType) { setConnectingConnectorType(params.connectorType); @@ -846,6 +861,63 @@ export const useConnectorDialog = () => { router.replace(url.pathname + url.search, { scroll: false }); }, [router]); + // Handle opening Composio toolkit view + const handleOpenComposio = useCallback(() => { + if (!searchSpaceId) return; + + setViewingComposio(true); + + // Update URL to show Composio view + const url = new URL(window.location.href); + url.searchParams.set("modal", "connectors"); + url.searchParams.set("view", "composio"); + window.history.pushState({ modal: true }, "", url.toString()); + }, [searchSpaceId]); + + // Handle going back from Composio view + const handleBackFromComposio = useCallback(() => { + setViewingComposio(false); + setConnectingComposioToolkit(null); + const url = new URL(window.location.href); + url.searchParams.set("modal", "connectors"); + url.searchParams.delete("view"); + router.replace(url.pathname + url.search, { scroll: false }); + }, [router]); + + // Handle connecting a Composio toolkit + const handleConnectComposioToolkit = useCallback( + async (toolkitId: string) => { + if (!searchSpaceId) return; + + setConnectingComposioToolkit(toolkitId); + + try { + const response = await authenticatedFetch( + `${process.env.NEXT_PUBLIC_FASTAPI_BACKEND_URL}/api/v1/auth/composio/connector/add?space_id=${searchSpaceId}&toolkit_id=${toolkitId}`, + { method: "GET" } + ); + + if (!response.ok) { + throw new Error(`Failed to initiate Composio OAuth for ${toolkitId}`); + } + + const data = await response.json(); + + if (data.auth_url) { + // Redirect to Composio OAuth + window.location.href = data.auth_url; + } else { + throw new Error("No authorization URL received from Composio"); + } + } catch (error) { + console.error("Error connecting Composio toolkit:", error); + toast.error(`Failed to connect ${toolkitId}. Please try again.`); + setConnectingComposioToolkit(null); + } + }, + [searchSpaceId] + ); + // Handle starting indexing const handleStartIndexing = useCallback( async (refreshConnectors: () => void) => { @@ -1506,6 +1578,7 @@ export const useConnectorDialog = () => { allConnectors, viewingAccountsType, viewingMCPList, + viewingComposio, // Setters setSearchQuery, @@ -1541,5 +1614,12 @@ export const useConnectorDialog = () => { connectorConfig, setConnectorConfig, setIndexingConnectorConfig, + + // Composio + viewingComposio, + connectingComposioToolkit, + handleOpenComposio, + handleBackFromComposio, + handleConnectComposioToolkit, }; }; diff --git a/surfsense_web/components/assistant-ui/connector-popup/tabs/all-connectors-tab.tsx b/surfsense_web/components/assistant-ui/connector-popup/tabs/all-connectors-tab.tsx index 2487b7276..c5f5448bd 100644 --- a/surfsense_web/components/assistant-ui/connector-popup/tabs/all-connectors-tab.tsx +++ b/surfsense_web/components/assistant-ui/connector-popup/tabs/all-connectors-tab.tsx @@ -3,8 +3,14 @@ import type { FC } from "react"; import { EnumConnectorName } from "@/contracts/enums/connector"; import type { SearchSourceConnector } from "@/contracts/types/connector.types"; +import { ComposioConnectorCard } from "../components/composio-connector-card"; import { ConnectorCard } from "../components/connector-card"; -import { CRAWLERS, OAUTH_CONNECTORS, OTHER_CONNECTORS } from "../constants/connector-constants"; +import { + COMPOSIO_CONNECTORS, + CRAWLERS, + OAUTH_CONNECTORS, + OTHER_CONNECTORS, +} from "../constants/connector-constants"; import { getDocumentCountForConnector } from "../utils/connector-document-mapping"; /** @@ -34,6 +40,7 @@ interface AllConnectorsTabProps { onCreateYouTubeCrawler?: () => void; onManage?: (connector: SearchSourceConnector) => void; onViewAccountsList?: (connectorType: string, connectorTitle: string) => void; + onOpenComposio?: () => void; } export const AllConnectorsTab: FC = ({ @@ -49,6 +56,7 @@ export const AllConnectorsTab: FC = ({ onCreateYouTubeCrawler, onManage, onViewAccountsList, + onOpenComposio, }) => { // Filter connectors based on search const filteredOAuth = OAUTH_CONNECTORS.filter( @@ -69,6 +77,20 @@ export const AllConnectorsTab: FC = ({ c.description.toLowerCase().includes(searchQuery.toLowerCase()) ); + // Filter Composio connectors + const filteredComposio = COMPOSIO_CONNECTORS.filter( + (c) => + c.title.toLowerCase().includes(searchQuery.toLowerCase()) || + c.description.toLowerCase().includes(searchQuery.toLowerCase()) + ); + + // Count Composio connectors + const composioConnectorCount = allConnectors + ? allConnectors.filter( + (c: SearchSourceConnector) => c.connector_type === EnumConnectorName.COMPOSIO_CONNECTOR + ).length + : 0; + return (
{/* Quick Connect */} @@ -137,6 +159,30 @@ export const AllConnectorsTab: FC = ({ )} + {/* Composio Integrations */} + {/* {filteredComposio.length > 0 && onOpenComposio && ( +
+
+

Managed OAuth

+ + No verification needed + +
+
+ {filteredComposio.map((connector) => ( + + ))} +
+
+ )} */} + {/* More Integrations */} {filteredOther.length > 0 && (
diff --git a/surfsense_web/components/assistant-ui/connector-popup/utils/connector-document-mapping.ts b/surfsense_web/components/assistant-ui/connector-popup/utils/connector-document-mapping.ts index 433a51e8c..522e1763c 100644 --- a/surfsense_web/components/assistant-ui/connector-popup/utils/connector-document-mapping.ts +++ b/surfsense_web/components/assistant-ui/connector-popup/utils/connector-document-mapping.ts @@ -30,6 +30,7 @@ export const CONNECTOR_TO_DOCUMENT_TYPE: Record = { // Special mappings (connector type differs from document type) GOOGLE_DRIVE_CONNECTOR: "GOOGLE_DRIVE_FILE", WEBCRAWLER_CONNECTOR: "CRAWLED_URL", + COMPOSIO_CONNECTOR: "COMPOSIO_CONNECTOR", }; /** diff --git a/surfsense_web/components/assistant-ui/connector-popup/views/composio-toolkit-view.tsx b/surfsense_web/components/assistant-ui/connector-popup/views/composio-toolkit-view.tsx new file mode 100644 index 000000000..9c0bd7223 --- /dev/null +++ b/surfsense_web/components/assistant-ui/connector-popup/views/composio-toolkit-view.tsx @@ -0,0 +1,355 @@ +"use client"; + +import { + ArrowLeft, + Calendar, + Check, + ExternalLink, + FileText, + Github, + HardDrive, + Loader2, + Mail, + MessageSquare, + Zap, +} from "lucide-react"; +import Image from "next/image"; +import type { FC } from "react"; +import { useState } from "react"; +import { Badge } from "@/components/ui/badge"; +import { Button } from "@/components/ui/button"; +import { cn } from "@/lib/utils"; + +interface ComposioToolkit { + id: string; + name: string; + description: string; + isIndexable: boolean; +} + +interface ComposioToolkitViewProps { + searchSpaceId: string; + connectedToolkits: string[]; + onBack: () => void; + onConnectToolkit: (toolkitId: string) => void; + isConnecting: boolean; + connectingToolkitId: string | null; +} + +// Available Composio toolkits +const COMPOSIO_TOOLKITS: ComposioToolkit[] = [ + { + id: "googledrive", + name: "Google Drive", + description: "Search your Drive files and documents", + isIndexable: true, + }, + { + id: "gmail", + name: "Gmail", + description: "Search through your emails", + isIndexable: true, + }, + { + id: "googlecalendar", + name: "Google Calendar", + description: "Search through your events", + isIndexable: true, + }, + { + id: "slack", + name: "Slack", + description: "Search Slack messages", + isIndexable: false, + }, + { + id: "notion", + name: "Notion", + description: "Search Notion pages", + isIndexable: false, + }, + { + id: "github", + name: "GitHub", + description: "Search repositories and code", + isIndexable: false, + }, +]; + +// Get icon for toolkit +const getToolkitIcon = (toolkitId: string, className?: string) => { + const iconClass = className || "size-5"; + + switch (toolkitId) { + case "googledrive": + return ( + + ); + case "gmail": + return ( + + ); + case "googlecalendar": + return ( + + ); + case "slack": + return ( + + ); + case "notion": + return ( + + ); + case "github": + return ( + + ); + default: + return ; + } +}; + +export const ComposioToolkitView: FC = ({ + searchSpaceId, + connectedToolkits, + onBack, + onConnectToolkit, + isConnecting, + connectingToolkitId, +}) => { + const [hoveredToolkit, setHoveredToolkit] = useState(null); + + // Separate indexable and non-indexable toolkits + const indexableToolkits = COMPOSIO_TOOLKITS.filter((t) => t.isIndexable); + const nonIndexableToolkits = COMPOSIO_TOOLKITS.filter((t) => !t.isIndexable); + + return ( +
+ {/* Header */} +
+ {/* Back button */} + + + {/* Header content */} +
+
+
+ +
+
+

Composio

+

+ Connect 100+ apps with managed OAuth - no verification needed +

+
+
+ + Powered by Composio + + +
+
+ + {/* Content */} +
+ {/* Indexable Toolkits (Google Services) */} +
+
+

Google Services

+ + Indexable + +
+

+ Connect Google services via Composio's verified OAuth app. Your data will be + indexed and searchable. +

+
+ {indexableToolkits.map((toolkit) => { + const isConnected = connectedToolkits.includes(toolkit.id); + const isThisConnecting = connectingToolkitId === toolkit.id; + + return ( +
setHoveredToolkit(toolkit.id)} + onMouseLeave={() => setHoveredToolkit(null)} + className={cn( + "group relative flex flex-col p-4 rounded-xl border transition-all duration-200", + isConnected + ? "border-emerald-500/30 bg-emerald-500/5" + : "border-border bg-card hover:border-violet-500/30 hover:bg-violet-500/5" + )} + > +
+
+ {getToolkitIcon(toolkit.id, "size-5")} +
+ {isConnected && ( + + + Connected + + )} +
+

{toolkit.name}

+

{toolkit.description}

+ +
+ ); + })} +
+
+ + {/* Non-Indexable Toolkits (Coming Soon) */} +
+
+

More Integrations

+ + Coming Soon + +
+

+ Connect these services for future indexing support. Currently available for connection + only. +

+
+ {nonIndexableToolkits.map((toolkit) => ( +
+
+
+ {getToolkitIcon(toolkit.id, "size-5")} +
+ + Soon + +
+

{toolkit.name}

+

{toolkit.description}

+ +
+ ))} +
+
+ + {/* Info footer */} +
+
+
+ +
+
+

Why use Composio?

+

+ Composio provides pre-verified OAuth apps, so you don't need to wait for Google + app verification. Your data is securely processed through Composio's managed + authentication. +

+
+
+
+
+
+ ); +}; diff --git a/surfsense_web/components/assistant-ui/thread.tsx b/surfsense_web/components/assistant-ui/thread.tsx index eaf30fc96..042b932a4 100644 --- a/surfsense_web/components/assistant-ui/thread.tsx +++ b/surfsense_web/components/assistant-ui/thread.tsx @@ -26,11 +26,13 @@ import { import { useParams } from "next/navigation"; import { type FC, useCallback, useContext, useEffect, useMemo, useRef, useState } from "react"; import { createPortal } from "react-dom"; +import { chatSessionStateAtom } from "@/atoms/chat/chat-session-state.atom"; import { showCommentsGutterAtom } from "@/atoms/chat/current-thread.atom"; import { mentionedDocumentIdsAtom, mentionedDocumentsAtom, } from "@/atoms/chat/mentioned-documents.atom"; +import { membersAtom } from "@/atoms/members/members-query.atoms"; import { globalNewLLMConfigsAtom, llmPreferencesAtom, @@ -39,6 +41,7 @@ import { import { currentUserAtom } from "@/atoms/user/user-query.atoms"; import { AssistantMessage } from "@/components/assistant-ui/assistant-message"; import { ComposerAddAttachment, ComposerAttachments } from "@/components/assistant-ui/attachment"; +import { ChatSessionStatus } from "@/components/assistant-ui/chat-session-status"; import { ConnectorIndicator } from "@/components/assistant-ui/connector-popup"; import { InlineMentionEditor, @@ -59,6 +62,7 @@ import { import type { ThinkingStep } from "@/components/tool-ui/deepagent-thinking"; import { Button } from "@/components/ui/button"; import type { Document } from "@/contracts/types/document.types"; +import { useCommentsElectric } from "@/hooks/use-comments-electric"; import { cn } from "@/lib/utils"; interface ThreadProps { @@ -86,6 +90,7 @@ const ThreadContent: FC<{ header?: React.ReactNode }> = ({ header }) => { > { const editorRef = useRef(null); const editorContainerRef = useRef(null); const documentPickerRef = useRef(null); - const { search_space_id } = useParams(); + const { search_space_id, chat_id } = useParams(); const setMentionedDocumentIds = useSetAtom(mentionedDocumentIdsAtom); const composerRuntime = useComposerRuntime(); const hasAutoFocusedRef = useRef(false); @@ -223,6 +228,23 @@ const Composer: FC = () => { const isThreadEmpty = useAssistantState(({ thread }) => thread.isEmpty); const isThreadRunning = useAssistantState(({ thread }) => thread.isRunning); + // Live collaboration state + const { data: currentUser } = useAtomValue(currentUserAtom); + const { data: members } = useAtomValue(membersAtom); + const threadId = useMemo(() => { + if (Array.isArray(chat_id) && chat_id.length > 0) { + return Number.parseInt(chat_id[0], 10) || null; + } + return typeof chat_id === "string" ? Number.parseInt(chat_id, 10) || null : null; + }, [chat_id]); + const sessionState = useAtomValue(chatSessionStateAtom); + const isAiResponding = sessionState?.isAiResponding ?? false; + const respondingToUserId = sessionState?.respondingToUserId ?? null; + const isBlockedByOtherUser = isAiResponding && respondingToUserId !== currentUser?.id; + + // Sync comments for the entire thread via Electric SQL (one subscription per thread) + useCommentsElectric(threadId); + // Auto-focus editor on new chat page after mount useEffect(() => { if (isThreadEmpty && !hasAutoFocusedRef.current && editorRef.current) { @@ -298,9 +320,9 @@ const Composer: FC = () => { [showDocumentPopover] ); - // Submit message (blocked during streaming or when document picker is open) + // Submit message (blocked during streaming, document picker open, or AI responding to another user) const handleSubmit = useCallback(() => { - if (isThreadRunning) { + if (isThreadRunning || isBlockedByOtherUser) { return; } if (!showDocumentPopover) { @@ -315,6 +337,7 @@ const Composer: FC = () => { }, [ showDocumentPopover, isThreadRunning, + isBlockedByOtherUser, composerRuntime, setMentionedDocuments, setMentionedDocumentIds, @@ -374,7 +397,13 @@ const Composer: FC = () => { ); return ( - + + {/* Inline editor with @mention support */} @@ -417,13 +446,17 @@ const Composer: FC = () => { />, document.body )} - + ); }; -const ComposerAction: FC = () => { +interface ComposerActionProps { + isBlockedByOtherUser?: boolean; +} + +const ComposerAction: FC = ({ isBlockedByOtherUser = false }) => { // Check if any attachments are still being processed (running AND progress < 100) // When progress is 100, processing is done but waiting for send() const hasProcessingAttachments = useAssistantState(({ composer }) => @@ -458,7 +491,8 @@ const ComposerAction: FC = () => { return userConfigs?.some((c) => c.id === agentLlmId) ?? false; }, [preferences, globalConfigs, userConfigs]); - const isSendDisabled = hasProcessingAttachments || isComposerEmpty || !hasModelConfigured; + const isSendDisabled = + hasProcessingAttachments || isComposerEmpty || !hasModelConfigured || isBlockedByOtherUser; return (
@@ -487,13 +521,15 @@ const ComposerAction: FC = () => { { + const textarea = e.target; + textarea.style.height = "auto"; + textarea.style.height = `${textarea.scrollHeight}px`; + }); + const triggerResult = findMentionTrigger(value, cursorPos, insertedMentions); if (triggerResult.isActive) { @@ -208,9 +214,9 @@ export function CommentComposer({ const mentionPattern = /@([^\s@]+(?:\s+[^\s@]+)*?)(?=\s|$|[.,!?;:]|@)/g; const foundMentions: InsertedMention[] = []; - let match: RegExpExecArray | null; + const matches = initialValue.matchAll(mentionPattern); - while ((match = mentionPattern.exec(initialValue)) !== null) { + for (const match of matches) { const displayName = match[1]; const member = members.find( (m) => m.displayName === displayName || m.email.split("@")[0] === displayName @@ -237,6 +243,19 @@ export function CommentComposer({ const canSubmit = displayContent.trim().length > 0 && !isSubmitting; + // Auto-resize textarea + const adjustTextareaHeight = useCallback(() => { + const textarea = textareaRef.current; + if (textarea) { + textarea.style.height = "auto"; + textarea.style.height = `${textarea.scrollHeight}px`; + } + }, []); + + useEffect(() => { + adjustTextareaHeight(); + }, [adjustTextareaHeight]); + return (
diff --git a/surfsense_web/components/chat-comments/comment-item/comment-actions.tsx b/surfsense_web/components/chat-comments/comment-item/comment-actions.tsx index a886521a7..d31c44182 100644 --- a/surfsense_web/components/chat-comments/comment-item/comment-actions.tsx +++ b/surfsense_web/components/chat-comments/comment-item/comment-actions.tsx @@ -21,7 +21,7 @@ export function CommentActions({ canEdit, canDelete, onEdit, onDelete }: Comment diff --git a/surfsense_web/components/chat-comments/comment-item/comment-item.tsx b/surfsense_web/components/chat-comments/comment-item/comment-item.tsx index 8489bdb4a..8b2503e8c 100644 --- a/surfsense_web/components/chat-comments/comment-item/comment-item.tsx +++ b/surfsense_web/components/chat-comments/comment-item/comment-item.tsx @@ -1,8 +1,6 @@ "use client"; -import { useAtom } from "jotai"; import { MessageSquare } from "lucide-react"; -import { currentUserAtom } from "@/atoms/user/user-query.atoms"; import { Avatar, AvatarFallback, AvatarImage } from "@/components/ui/avatar"; import { Button } from "@/components/ui/button"; import { cn } from "@/lib/utils"; @@ -115,12 +113,8 @@ export function CommentItem({ members = [], membersLoading = false, }: CommentItemProps) { - const [{ data: currentUser }] = useAtom(currentUserAtom); - - const isCurrentUser = currentUser?.id === comment.author?.id; - const displayName = isCurrentUser - ? "Me" - : comment.author?.displayName || comment.author?.email.split("@")[0] || "Unknown"; + const displayName = + comment.author?.displayName || comment.author?.email.split("@")[0] || "Unknown"; const email = comment.author?.email || ""; const handleEditSubmit = (content: string) => { diff --git a/surfsense_web/components/chat-comments/comment-panel/comment-panel.tsx b/surfsense_web/components/chat-comments/comment-panel/comment-panel.tsx index 12f336d85..c72c77f65 100644 --- a/surfsense_web/components/chat-comments/comment-panel/comment-panel.tsx +++ b/surfsense_web/components/chat-comments/comment-panel/comment-panel.tsx @@ -1,13 +1,25 @@ "use client"; -import { MessageSquarePlus } from "lucide-react"; -import { useState } from "react"; -import { Button } from "@/components/ui/button"; +import { useAtom } from "jotai"; +import { currentUserAtom } from "@/atoms/user/user-query.atoms"; +import { Avatar, AvatarFallback, AvatarImage } from "@/components/ui/avatar"; import { cn } from "@/lib/utils"; import { CommentComposer } from "../comment-composer/comment-composer"; import { CommentThread } from "../comment-thread/comment-thread"; import type { CommentPanelProps } from "./types"; +function getInitials(name: string | null | undefined, email: string): string { + if (name) { + return name + .split(" ") + .map((part) => part[0]) + .join("") + .toUpperCase() + .slice(0, 2); + } + return email[0].toUpperCase(); +} + export function CommentPanel({ threads, members, @@ -21,15 +33,10 @@ export function CommentPanel({ maxHeight, variant = "desktop", }: CommentPanelProps) { - const [isComposerOpen, setIsComposerOpen] = useState(false); + const [{ data: currentUser }] = useAtom(currentUserAtom); const handleCommentSubmit = (content: string) => { onCreateComment(content); - setIsComposerOpen(false); - }; - - const handleComposerCancel = () => { - setIsComposerOpen(false); }; const isMobile = variant === "mobile"; @@ -51,7 +58,6 @@ export function CommentPanel({ } const hasThreads = threads.length > 0; - const showEmptyState = !hasThreads && !isComposerOpen; // Ensure minimum usable height for empty state + composer button const minHeight = 180; @@ -63,7 +69,7 @@ export function CommentPanel({ style={!isMobile && effectiveMaxHeight ? { maxHeight: effectiveMaxHeight } : undefined} > {hasThreads && ( -
+
{threads.map((thread) => ( )} - {showEmptyState && ( -
- -

No comments yet

-

- Start a conversation about this response -

+ {!hasThreads && currentUser && ( +
+ + + + {getInitials(currentUser.display_name, currentUser.email)} + + +
+ + {currentUser.display_name ?? currentUser.email} + +
)} -
- {isComposerOpen ? ( - - ) : ( - - )} +
+
); diff --git a/surfsense_web/components/chat-comments/comment-sheet/comment-sheet.tsx b/surfsense_web/components/chat-comments/comment-sheet/comment-sheet.tsx index 86597e5dd..d483ab261 100644 --- a/surfsense_web/components/chat-comments/comment-sheet/comment-sheet.tsx +++ b/surfsense_web/components/chat-comments/comment-sheet/comment-sheet.tsx @@ -1,6 +1,13 @@ "use client"; import { MessageSquare } from "lucide-react"; +import { + Drawer, + DrawerContent, + DrawerHandle, + DrawerHeader, + DrawerTitle, +} from "@/components/ui/drawer"; import { Sheet, SheetContent, SheetHeader, SheetTitle } from "@/components/ui/sheet"; import { cn } from "@/lib/utils"; import { CommentPanelContainer } from "../comment-panel-container/comment-panel-container"; @@ -15,22 +22,39 @@ export function CommentSheet({ }: CommentSheetProps) { const isBottomSheet = side === "bottom"; + // Use Drawer for mobile (bottom), Sheet for medium screens (right) + if (isBottomSheet) { + return ( + + + + + + + Comments + {commentCount > 0 && ( + + {commentCount} + + )} + + +
+ +
+ + + ); + } + + // Use Sheet for medium screens (right side) return ( - {/* Drag handle indicator - only for bottom sheet */} - {isBottomSheet && ( -
-
-
- )} - + Comments @@ -41,7 +65,7 @@ export function CommentSheet({ )} -
+
diff --git a/surfsense_web/components/chat-comments/comment-thread/comment-thread.tsx b/surfsense_web/components/chat-comments/comment-thread/comment-thread.tsx index 1468cee33..64daba83a 100644 --- a/surfsense_web/components/chat-comments/comment-thread/comment-thread.tsx +++ b/surfsense_web/components/chat-comments/comment-thread/comment-thread.tsx @@ -128,23 +128,21 @@ export function CommentThread({ {/* Reply composer or button */} {isReplyComposerOpen ? ( - <> -
- -
- +
+ +
) : ( )} @@ -156,7 +154,7 @@ export function CommentThread({ {!hasReplies && !isReplyComposerOpen && (
diff --git a/surfsense_web/components/chat-comments/comment-trigger/comment-trigger.tsx b/surfsense_web/components/chat-comments/comment-trigger/comment-trigger.tsx index ca6cac186..60ea97ac6 100644 --- a/surfsense_web/components/chat-comments/comment-trigger/comment-trigger.tsx +++ b/surfsense_web/components/chat-comments/comment-trigger/comment-trigger.tsx @@ -1,6 +1,6 @@ "use client"; -import { MessageSquare } from "lucide-react"; +import { MessageSquarePlus } from "lucide-react"; import { Button } from "@/components/ui/button"; import { cn } from "@/lib/utils"; import type { CommentTriggerProps } from "./types"; @@ -25,7 +25,7 @@ export function CommentTrigger({ commentCount, isOpen, onClick, disabled }: Comm )} onClick={onClick} > - + {hasComments && ( {commentCount > 9 ? "9+" : commentCount} diff --git a/surfsense_web/components/dashboard-breadcrumb.tsx b/surfsense_web/components/dashboard-breadcrumb.tsx index 0e9374fdd..d1b5d3bc1 100644 --- a/surfsense_web/components/dashboard-breadcrumb.tsx +++ b/surfsense_web/components/dashboard-breadcrumb.tsx @@ -76,10 +76,7 @@ export function DashboardBreadcrumb() { const segments = path.split("/").filter(Boolean); const breadcrumbs: BreadcrumbItemInterface[] = []; - // Always start with Dashboard - breadcrumbs.push({ label: t("dashboard"), href: "/dashboard" }); - - // Handle search space + // Handle search space (start directly with search space, skip "Dashboard") if (segments[0] === "dashboard" && segments[1]) { // Use the actual search space name if available, otherwise fall back to the ID const searchSpaceLabel = searchSpace?.name || `${t("search_space")} ${segments[1]}`; diff --git a/surfsense_web/components/layout/providers/LayoutDataProvider.tsx b/surfsense_web/components/layout/providers/LayoutDataProvider.tsx index 7f55e295f..5f4617b84 100644 --- a/surfsense_web/components/layout/providers/LayoutDataProvider.tsx +++ b/surfsense_web/components/layout/providers/LayoutDataProvider.tsx @@ -2,7 +2,7 @@ import { useQuery, useQueryClient } from "@tanstack/react-query"; import { useAtomValue } from "jotai"; -import { LogOut, Logs, SquareLibrary, Trash2 } from "lucide-react"; +import { Inbox, LogOut, SquareLibrary, Trash2 } from "lucide-react"; import { useParams, usePathname, useRouter } from "next/navigation"; import { useTranslations } from "next-intl"; import { useTheme } from "next-themes"; @@ -19,6 +19,7 @@ import { DialogHeader, DialogTitle, } from "@/components/ui/dialog"; +import { useInbox } from "@/hooks/use-inbox"; import { searchSpacesApiService } from "@/lib/apis/search-spaces-api.service"; import { deleteThread, fetchThreads } from "@/lib/chat/thread-persistence"; import { cleanupElectric } from "@/lib/electric/client"; @@ -29,19 +30,18 @@ import { CreateSearchSpaceDialog } from "../ui/dialogs"; import { LayoutShell } from "../ui/shell"; import { AllPrivateChatsSidebar } from "../ui/sidebar/AllPrivateChatsSidebar"; import { AllSharedChatsSidebar } from "../ui/sidebar/AllSharedChatsSidebar"; +import { InboxSidebar } from "../ui/sidebar/InboxSidebar"; interface LayoutDataProviderProps { searchSpaceId: string; children: React.ReactNode; breadcrumb?: React.ReactNode; - languageSwitcher?: React.ReactNode; } export function LayoutDataProvider({ searchSpaceId, children, breadcrumb, - languageSwitcher, }: LayoutDataProviderProps) { const t = useTranslations("dashboard"); const tCommon = useTranslations("common"); @@ -61,8 +61,8 @@ export function LayoutDataProvider({ ? Number(Array.isArray(params.chat_id) ? params.chat_id[0] : params.chat_id) : null; - // Fetch current search space - const { data: searchSpace } = useQuery({ + // Fetch current search space (for caching purposes) + useQuery({ queryKey: cacheKeys.searchSpaces.detail(searchSpaceId), queryFn: () => searchSpacesApiService.getSearchSpace({ id: Number(searchSpaceId) }), enabled: !!searchSpaceId, @@ -79,9 +79,25 @@ export function LayoutDataProvider({ const [isAllSharedChatsSidebarOpen, setIsAllSharedChatsSidebarOpen] = useState(false); const [isAllPrivateChatsSidebarOpen, setIsAllPrivateChatsSidebarOpen] = useState(false); + // Inbox sidebar state + const [isInboxSidebarOpen, setIsInboxSidebarOpen] = useState(false); + // Search space dialog state const [isCreateSearchSpaceDialogOpen, setIsCreateSearchSpaceDialogOpen] = useState(false); + // Inbox hook + const userId = user?.id ? String(user.id) : null; + const { + inboxItems, + unreadCount, + loading: inboxLoading, + loadingMore: inboxLoadingMore, + hasMore: inboxHasMore, + loadMore: inboxLoadMore, + markAsRead, + markAllAsRead, + } = useInbox(userId, Number(searchSpaceId) || null, null); + // Delete dialogs state const [showDeleteChatDialog, setShowDeleteChatDialog] = useState(false); const [chatToDelete, setChatToDelete] = useState<{ id: number; name: string } | null>(null); @@ -151,14 +167,21 @@ export function LayoutDataProvider({ icon: SquareLibrary, isActive: pathname?.includes("/documents"), }, + // { + // title: "Logs", + // url: `/dashboard/${searchSpaceId}/logs`, + // icon: Logs, + // isActive: pathname?.includes("/logs"), + // }, { - title: "Logs", - url: `/dashboard/${searchSpaceId}/logs`, - icon: Logs, - isActive: pathname?.includes("/logs"), + title: "Inbox", + url: "#inbox", // Special URL to indicate this is handled differently + icon: Inbox, + isActive: isInboxSidebarOpen, + badge: unreadCount > 0 ? (unreadCount > 99 ? "99+" : unreadCount) : undefined, }, ], - [searchSpaceId, pathname] + [searchSpaceId, pathname, isInboxSidebarOpen, unreadCount] ); // Handlers @@ -250,6 +273,11 @@ export function LayoutDataProvider({ const handleNavItemClick = useCallback( (item: NavItem) => { + // Handle inbox specially - open sidebar instead of navigating + if (item.url === "#inbox") { + setIsInboxSidebarOpen(true); + return; + } router.push(item.url); }, [router] @@ -302,10 +330,6 @@ export function LayoutDataProvider({ } }, [router]); - const handleToggleTheme = useCallback(() => { - setTheme(theme === "dark" ? "light" : "dark"); - }, [theme, setTheme]); - const handleViewAllSharedChats = useCallback(() => { setIsAllSharedChatsSidebarOpen(true); }, []); @@ -375,9 +399,8 @@ export function LayoutDataProvider({ onLogout={handleLogout} pageUsage={pageUsage} breadcrumb={breadcrumb} - languageSwitcher={languageSwitcher} theme={theme} - onToggleTheme={handleToggleTheme} + setTheme={setTheme} isChatPage={isChatPage} > {children} @@ -524,6 +547,20 @@ export function LayoutDataProvider({ searchSpaceId={searchSpaceId} /> + {/* Inbox Sidebar */} + + {/* Create Search Space Dialog */} void; mobileMenuTrigger?: React.ReactNode; } -export function Header({ - breadcrumb, - languageSwitcher, - theme, - onToggleTheme, - mobileMenuTrigger, -}: HeaderProps) { +export function Header({ breadcrumb, mobileMenuTrigger }: HeaderProps) { + const pathname = usePathname(); + + // Check if we're on a chat page + const isChatPage = pathname?.includes("/new-chat") ?? false; + + // Use Jotai atom for thread state (synced from chat page) + const currentThreadState = useAtomValue(currentThreadAtom); + + // Show button only when we have a thread id (thread exists and is synced to Jotai) + const hasThread = isChatPage && currentThreadState.id !== null; + + // Create minimal thread object for ChatShareButton (used for API calls) + const threadForButton: ThreadRecord | null = + hasThread && currentThreadState.id !== null + ? { + id: currentThreadState.id, + visibility: currentThreadState.visibility ?? "PRIVATE", + // These fields are not used by ChatShareButton for display, only for checks + created_by_id: null, + search_space_id: 0, + title: "", + archived: false, + created_at: "", + updated_at: "", + } + : null; + + const handleVisibilityChange = (_visibility: ChatVisibility) => { + // Visibility change is handled by ChatShareButton internally via Jotai + // This callback can be used for additional side effects if needed + }; + return (
{/* Left side - Mobile menu trigger + Breadcrumb */} @@ -29,24 +53,11 @@ export function Header({
{/* Right side - Actions */} -
- {/* Notifications */} - - - {/* Theme toggle */} - {onToggleTheme && ( - - - - - {theme === "dark" ? "Light mode" : "Dark mode"} - +
+ {/* Share button - only show on chat pages when thread exists */} + {hasThread && ( + )} - - {languageSwitcher}
); diff --git a/surfsense_web/components/layout/ui/shell/LayoutShell.tsx b/surfsense_web/components/layout/ui/shell/LayoutShell.tsx index ed3a09099..b68719cde 100644 --- a/surfsense_web/components/layout/ui/shell/LayoutShell.tsx +++ b/surfsense_web/components/layout/ui/shell/LayoutShell.tsx @@ -35,9 +35,8 @@ interface LayoutShellProps { onLogout?: () => void; pageUsage?: PageUsage; breadcrumb?: React.ReactNode; - languageSwitcher?: React.ReactNode; theme?: string; - onToggleTheme?: () => void; + setTheme?: (theme: "light" | "dark" | "system") => void; defaultCollapsed?: boolean; isChatPage?: boolean; children: React.ReactNode; @@ -69,9 +68,8 @@ export function LayoutShell({ onLogout, pageUsage, breadcrumb, - languageSwitcher, theme, - onToggleTheme, + setTheme, defaultCollapsed = false, isChatPage = false, children, @@ -88,9 +86,6 @@ export function LayoutShell({
setMobileMenuOpen(true)} />} /> @@ -120,6 +115,8 @@ export function LayoutShell({ onUserSettings={onUserSettings} onLogout={onLogout} pageUsage={pageUsage} + theme={theme} + setTheme={setTheme} />
@@ -166,16 +163,13 @@ export function LayoutShell({ onUserSettings={onUserSettings} onLogout={onLogout} pageUsage={pageUsage} + theme={theme} + setTheme={setTheme} className="hidden md:flex border-r shrink-0" />
-
+
{children} diff --git a/surfsense_web/components/layout/ui/sidebar/AllPrivateChatsSidebar.tsx b/surfsense_web/components/layout/ui/sidebar/AllPrivateChatsSidebar.tsx index 0d1dd281e..39f1b95bc 100644 --- a/surfsense_web/components/layout/ui/sidebar/AllPrivateChatsSidebar.tsx +++ b/surfsense_web/components/layout/ui/sidebar/AllPrivateChatsSidebar.tsx @@ -5,12 +5,12 @@ import { format } from "date-fns"; import { ArchiveIcon, Loader2, - Lock, MessageCircleMore, MoreHorizontal, RotateCcwIcon, Search, Trash2, + User, X, } from "lucide-react"; import { AnimatePresence, motion } from "motion/react"; @@ -28,6 +28,7 @@ import { DropdownMenuTrigger, } from "@/components/ui/dropdown-menu"; import { Input } from "@/components/ui/input"; +import { Tabs, TabsList, TabsTrigger } from "@/components/ui/tabs"; import { Tooltip, TooltipContent, TooltipTrigger } from "@/components/ui/tooltip"; import { useDebouncedValue } from "@/hooks/use-debounced-value"; import { @@ -237,20 +238,9 @@ export function AllPrivateChatsSidebar({ aria-label={t("chats") || "Private Chats"} >
-
-
- -

{t("chats") || "Private Chats"}

-
- +
+ +

{t("chats") || "Private Chats"}

@@ -277,32 +267,38 @@ export function AllPrivateChatsSidebar({
{!isSearchMode && ( -
- - -
+ setShowArchived(value === "archived")} + className="shrink-0 mx-4" + > + + + + + Active + + {activeCount} + + + + + + + Archived + + {archivedCount} + + + + + )}
@@ -371,7 +367,7 @@ export function AllPrivateChatsSidebar({ {isDeleting ? ( ) : ( - + )} {t("more_options") || "More options"} @@ -419,7 +415,7 @@ export function AllPrivateChatsSidebar({
) : (
- +

{showArchived ? t("no_archived_chats") || "No archived chats" diff --git a/surfsense_web/components/layout/ui/sidebar/AllSharedChatsSidebar.tsx b/surfsense_web/components/layout/ui/sidebar/AllSharedChatsSidebar.tsx index f50cb028a..8dd593945 100644 --- a/surfsense_web/components/layout/ui/sidebar/AllSharedChatsSidebar.tsx +++ b/surfsense_web/components/layout/ui/sidebar/AllSharedChatsSidebar.tsx @@ -28,6 +28,7 @@ import { DropdownMenuTrigger, } from "@/components/ui/dropdown-menu"; import { Input } from "@/components/ui/input"; +import { Tabs, TabsList, TabsTrigger } from "@/components/ui/tabs"; import { Tooltip, TooltipContent, TooltipTrigger } from "@/components/ui/tooltip"; import { useDebouncedValue } from "@/hooks/use-debounced-value"; import { @@ -237,20 +238,9 @@ export function AllSharedChatsSidebar({ aria-label={t("shared_chats") || "Shared Chats"} >

-
-
- -

{t("shared_chats") || "Shared Chats"}

-
- +
+ +

{t("shared_chats") || "Shared Chats"}

@@ -277,32 +267,38 @@ export function AllSharedChatsSidebar({
{!isSearchMode && ( -
- - -
+ setShowArchived(value === "archived")} + className="shrink-0 mx-4" + > + + + + + Active + + {activeCount} + + + + + + + Archived + + {archivedCount} + + + + + )}
@@ -371,7 +367,7 @@ export function AllSharedChatsSidebar({ {isDeleting ? ( ) : ( - + )} {t("more_options") || "More options"} diff --git a/surfsense_web/components/layout/ui/sidebar/ChatListItem.tsx b/surfsense_web/components/layout/ui/sidebar/ChatListItem.tsx index 7f5ede04c..5dd9c2cfa 100644 --- a/surfsense_web/components/layout/ui/sidebar/ChatListItem.tsx +++ b/surfsense_web/components/layout/ui/sidebar/ChatListItem.tsx @@ -39,11 +39,11 @@ export function ChatListItem({ name, isActive, onClick, onDelete }: ChatListItem {/* Actions dropdown */} -
+
diff --git a/surfsense_web/components/layout/ui/sidebar/InboxSidebar.tsx b/surfsense_web/components/layout/ui/sidebar/InboxSidebar.tsx new file mode 100644 index 000000000..810e3a22e --- /dev/null +++ b/surfsense_web/components/layout/ui/sidebar/InboxSidebar.tsx @@ -0,0 +1,854 @@ +"use client"; + +import { + AlertCircle, + AtSign, + BellDot, + Check, + CheckCheck, + CheckCircle2, + History, + Inbox, + LayoutGrid, + ListFilter, + Search, + X, +} from "lucide-react"; +import { AnimatePresence, motion } from "motion/react"; +import { useRouter } from "next/navigation"; +import { useTranslations } from "next-intl"; +import { useCallback, useEffect, useMemo, useRef, useState } from "react"; +import { createPortal } from "react-dom"; +import { convertRenderedToDisplay } from "@/components/chat-comments/comment-item/comment-item"; +import { Avatar, AvatarFallback, AvatarImage } from "@/components/ui/avatar"; +import { Button } from "@/components/ui/button"; +import { + Drawer, + DrawerContent, + DrawerHandle, + DrawerHeader, + DrawerTitle, +} from "@/components/ui/drawer"; +import { + DropdownMenu, + DropdownMenuContent, + DropdownMenuItem, + DropdownMenuLabel, + DropdownMenuTrigger, +} from "@/components/ui/dropdown-menu"; +import { Input } from "@/components/ui/input"; +import { Spinner } from "@/components/ui/spinner"; +import { Tabs, TabsList, TabsTrigger } from "@/components/ui/tabs"; +import { Tooltip, TooltipContent, TooltipTrigger } from "@/components/ui/tooltip"; +import { getConnectorIcon } from "@/contracts/enums/connectorIcons"; +import { + type ConnectorIndexingMetadata, + isConnectorIndexingMetadata, + isNewMentionMetadata, + type NewMentionMetadata, +} from "@/contracts/types/inbox.types"; +import type { InboxItem } from "@/hooks/use-inbox"; +import { useMediaQuery } from "@/hooks/use-media-query"; +import { cn } from "@/lib/utils"; + +/** + * Get initials from name or email for avatar fallback + */ +function getInitials(name: string | null | undefined, email: string | null | undefined): string { + if (name) { + return name + .split(" ") + .map((n) => n[0]) + .join("") + .toUpperCase() + .slice(0, 2); + } + if (email) { + const localPart = email.split("@")[0]; + return localPart.slice(0, 2).toUpperCase(); + } + return "U"; +} + +/** + * Get display name for connector type + */ +function getConnectorTypeDisplayName(connectorType: string): string { + const displayNames: Record = { + GITHUB_CONNECTOR: "GitHub", + GOOGLE_CALENDAR_CONNECTOR: "Google Calendar", + GOOGLE_GMAIL_CONNECTOR: "Gmail", + GOOGLE_DRIVE_CONNECTOR: "Google Drive", + LINEAR_CONNECTOR: "Linear", + NOTION_CONNECTOR: "Notion", + SLACK_CONNECTOR: "Slack", + TEAMS_CONNECTOR: "Microsoft Teams", + DISCORD_CONNECTOR: "Discord", + JIRA_CONNECTOR: "Jira", + CONFLUENCE_CONNECTOR: "Confluence", + BOOKSTACK_CONNECTOR: "BookStack", + CLICKUP_CONNECTOR: "ClickUp", + AIRTABLE_CONNECTOR: "Airtable", + LUMA_CONNECTOR: "Luma", + ELASTICSEARCH_CONNECTOR: "Elasticsearch", + WEBCRAWLER_CONNECTOR: "Web Crawler", + YOUTUBE_CONNECTOR: "YouTube", + CIRCLEBACK_CONNECTOR: "Circleback", + MCP_CONNECTOR: "MCP", + TAVILY_API: "Tavily", + SEARXNG_API: "SearXNG", + LINKUP_API: "Linkup", + BAIDU_SEARCH_API: "Baidu", + }; + + return ( + displayNames[connectorType] || + connectorType + .replace(/_/g, " ") + .replace(/CONNECTOR|API/gi, "") + .trim() + ); +} + +type InboxTab = "mentions" | "status"; +type InboxFilter = "all" | "unread"; + +interface InboxSidebarProps { + open: boolean; + onOpenChange: (open: boolean) => void; + inboxItems: InboxItem[]; + unreadCount: number; + loading: boolean; + loadingMore?: boolean; + hasMore?: boolean; + loadMore?: () => void; + markAsRead: (id: number) => Promise; + markAllAsRead: () => Promise; + onCloseMobileSidebar?: () => void; +} + +export function InboxSidebar({ + open, + onOpenChange, + inboxItems, + unreadCount, + loading, + loadingMore = false, + hasMore = false, + loadMore, + markAsRead, + markAllAsRead, + onCloseMobileSidebar, +}: InboxSidebarProps) { + const t = useTranslations("sidebar"); + const router = useRouter(); + const isMobile = !useMediaQuery("(min-width: 640px)"); + + const [searchQuery, setSearchQuery] = useState(""); + const [activeTab, setActiveTab] = useState("mentions"); + const [activeFilter, setActiveFilter] = useState("all"); + const [selectedConnector, setSelectedConnector] = useState(null); + const [mounted, setMounted] = useState(false); + // Dropdown state for filter menu (desktop only) + const [openDropdown, setOpenDropdown] = useState<"filter" | null>(null); + // Drawer state for filter menu (mobile only) + const [filterDrawerOpen, setFilterDrawerOpen] = useState(false); + const [markingAsReadId, setMarkingAsReadId] = useState(null); + + // Prefetch trigger ref - placed on item near the end + const prefetchTriggerRef = useRef(null); + + useEffect(() => { + setMounted(true); + }, []); + + useEffect(() => { + const handleEscape = (e: KeyboardEvent) => { + if (e.key === "Escape" && open) { + onOpenChange(false); + } + }; + document.addEventListener("keydown", handleEscape); + return () => document.removeEventListener("keydown", handleEscape); + }, [open, onOpenChange]); + + useEffect(() => { + if (open) { + document.body.style.overflow = "hidden"; + } else { + document.body.style.overflow = ""; + } + return () => { + document.body.style.overflow = ""; + }; + }, [open]); + + // Reset connector filter when switching away from status tab + useEffect(() => { + if (activeTab !== "status") { + setSelectedConnector(null); + } + }, [activeTab]); + + // Split items by type + const mentionItems = useMemo( + () => inboxItems.filter((item) => item.type === "new_mention"), + [inboxItems] + ); + + const statusItems = useMemo( + () => + inboxItems.filter( + (item) => item.type === "connector_indexing" || item.type === "document_processing" + ), + [inboxItems] + ); + + // Get unique connector types from status items for filtering + const uniqueConnectorTypes = useMemo(() => { + const connectorTypes = new Set(); + + statusItems + .filter((item) => item.type === "connector_indexing") + .forEach((item) => { + // Use type guard for safe metadata access + if (isConnectorIndexingMetadata(item.metadata)) { + connectorTypes.add(item.metadata.connector_type); + } + }); + + return Array.from(connectorTypes).map((type) => ({ + type, + displayName: getConnectorTypeDisplayName(type), + })); + }, [statusItems]); + + // Get items for current tab + const currentTabItems = activeTab === "mentions" ? mentionItems : statusItems; + + // Filter items based on filter type, connector filter, and search query + const filteredItems = useMemo(() => { + let items = currentTabItems; + + // Apply read/unread filter + if (activeFilter === "unread") { + items = items.filter((item) => !item.read); + } + + // Apply connector filter (only for status tab) + if (activeTab === "status" && selectedConnector) { + items = items.filter((item) => { + if (item.type === "connector_indexing") { + // Use type guard for safe metadata access + if (isConnectorIndexingMetadata(item.metadata)) { + return item.metadata.connector_type === selectedConnector; + } + return false; + } + return false; // Hide document_processing when a specific connector is selected + }); + } + + // Apply search query + if (searchQuery.trim()) { + const query = searchQuery.toLowerCase(); + items = items.filter( + (item) => + item.title.toLowerCase().includes(query) || item.message.toLowerCase().includes(query) + ); + } + + return items; + }, [currentTabItems, activeFilter, activeTab, selectedConnector, searchQuery]); + + // Intersection Observer for infinite scroll with prefetching + // Only active when not searching (search results are client-side filtered) + useEffect(() => { + if (!loadMore || !hasMore || loadingMore || !open || searchQuery.trim()) return; + + const observer = new IntersectionObserver( + (entries) => { + // When trigger element is visible, load more + if (entries[0]?.isIntersecting) { + loadMore(); + } + }, + { + root: null, // viewport + rootMargin: "100px", // Start loading 100px before visible + threshold: 0, + } + ); + + if (prefetchTriggerRef.current) { + observer.observe(prefetchTriggerRef.current); + } + + return () => observer.disconnect(); + }, [loadMore, hasMore, loadingMore, open, searchQuery, filteredItems.length]); + + // Count unread items per tab + const unreadMentionsCount = useMemo(() => { + return mentionItems.filter((item) => !item.read).length; + }, [mentionItems]); + + const unreadStatusCount = useMemo(() => { + return statusItems.filter((item) => !item.read).length; + }, [statusItems]); + + const handleItemClick = useCallback( + async (item: InboxItem) => { + if (!item.read) { + setMarkingAsReadId(item.id); + await markAsRead(item.id); + setMarkingAsReadId(null); + } + + if (item.type === "new_mention") { + // Use type guard for safe metadata access + if (isNewMentionMetadata(item.metadata)) { + const searchSpaceId = item.search_space_id; + const threadId = item.metadata.thread_id; + const commentId = item.metadata.comment_id; + + if (searchSpaceId && threadId) { + const url = commentId + ? `/dashboard/${searchSpaceId}/new-chat/${threadId}?commentId=${commentId}` + : `/dashboard/${searchSpaceId}/new-chat/${threadId}`; + onOpenChange(false); + onCloseMobileSidebar?.(); + router.push(url); + } + } + } + }, + [markAsRead, router, onOpenChange, onCloseMobileSidebar] + ); + + const handleMarkAllAsRead = useCallback(async () => { + await markAllAsRead(); + }, [markAllAsRead]); + + const handleClearSearch = useCallback(() => { + setSearchQuery(""); + }, []); + + const formatTime = (dateString: string) => { + try { + const date = new Date(dateString); + const now = new Date(); + const diffMs = now.getTime() - date.getTime(); + const diffMins = Math.floor(diffMs / (1000 * 60)); + const diffHours = Math.floor(diffMs / (1000 * 60 * 60)); + const diffDays = Math.floor(diffMs / (1000 * 60 * 60 * 24)); + + if (diffMins < 1) return "now"; + if (diffMins < 60) return `${diffMins}m`; + if (diffHours < 24) return `${diffHours}h`; + if (diffDays < 7) return `${diffDays}d`; + return `${Math.floor(diffDays / 7)}w`; + } catch { + return "now"; + } + }; + + const getStatusIcon = (item: InboxItem) => { + // For mentions, show the author's avatar with initials fallback + if (item.type === "new_mention") { + // Use type guard for safe metadata access + if (isNewMentionMetadata(item.metadata)) { + const authorName = item.metadata.author_name; + const avatarUrl = item.metadata.author_avatar_url; + const authorEmail = item.metadata.author_email; + + return ( + + {avatarUrl && } + + {getInitials(authorName, authorEmail)} + + + ); + } + // Fallback for invalid metadata + return ( + + + {getInitials(null, null)} + + + ); + } + + // For status items (connector/document), show status icons + // Safely access status from metadata + const metadata = item.metadata as Record; + const status = typeof metadata?.status === "string" ? metadata.status : undefined; + + switch (status) { + case "in_progress": + return ( +
+ +
+ ); + case "completed": + return ( +
+ +
+ ); + case "failed": + return ( +
+ +
+ ); + default: + return ( +
+ +
+ ); + } + }; + + const getEmptyStateMessage = () => { + if (activeTab === "mentions") { + return { + title: t("no_mentions") || "No mentions", + hint: t("no_mentions_hint") || "You'll see mentions from others here", + }; + } + return { + title: t("no_status_updates") || "No status updates", + hint: t("no_status_updates_hint") || "Document and connector updates will appear here", + }; + }; + + if (!mounted) return null; + + return createPortal( + + {open && ( + <> + onOpenChange(false)} + aria-hidden="true" + /> + + +
+
+
+ +

{t("inbox") || "Inbox"}

+
+
+ {/* Mobile: Button that opens bottom drawer */} + {isMobile ? ( + <> + + + + + {t("filter") || "Filter"} + + + + + + + + {t("filter") || "Filter"} + + +
+ {/* Filter section */} +
+

+ {t("filter") || "Filter"} +

+
+ + +
+
+ {/* Connectors section - only for status tab */} + {activeTab === "status" && uniqueConnectorTypes.length > 0 && ( +
+

+ {t("connectors") || "Connectors"} +

+
+ + {uniqueConnectorTypes.map((connector) => ( + + ))} +
+
+ )} +
+ + + + ) : ( + /* Desktop: Dropdown menu */ + setOpenDropdown(isOpen ? "filter" : null)} + > + + + + + + + {t("filter") || "Filter"} + + + + {t("filter") || "Filter"} + + setActiveFilter("all")} + className="flex items-center justify-between" + > + + + {t("all") || "All"} + + {activeFilter === "all" && } + + setActiveFilter("unread")} + className="flex items-center justify-between" + > + + + {t("unread") || "Unread"} + + {activeFilter === "unread" && } + + {activeTab === "status" && uniqueConnectorTypes.length > 0 && ( + <> + + {t("connectors") || "Connectors"} + + setSelectedConnector(null)} + className="flex items-center justify-between" + > + + + {t("all_connectors") || "All connectors"} + + {selectedConnector === null && } + + {uniqueConnectorTypes.map((connector) => ( + setSelectedConnector(connector.type)} + className="flex items-center justify-between" + > + + {getConnectorIcon(connector.type, "h-4 w-4")} + {connector.displayName} + + {selectedConnector === connector.type && ( + + )} + + ))} + + )} + + + )} + + + + + + {t("mark_all_read") || "Mark all as read"} + + +
+
+ +
+ + setSearchQuery(e.target.value)} + className="pl-9 pr-8 h-9" + /> + {searchQuery && ( + + )} +
+
+ + setActiveTab(value as InboxTab)} + className="shrink-0 mx-4" + > + + + + + {t("mentions") || "Mentions"} + + {unreadMentionsCount} + + + + + + + {t("status") || "Status"} + + {unreadStatusCount} + + + + + + +
+ {loading ? ( +
+ +
+ ) : filteredItems.length > 0 ? ( +
+ {filteredItems.map((item, index) => { + const isMarkingAsRead = markingAsReadId === item.id; + // Place prefetch trigger on 5th item from end (only if not searching) + const isPrefetchTrigger = + !searchQuery && hasMore && index === filteredItems.length - 5; + + return ( +
+ + + + + +

{item.title}

+

+ {convertRenderedToDisplay(item.message)} +

+ + + + {/* Time and unread dot - fixed width to prevent content shift */} +
+ + {formatTime(item.created_at)} + + {!item.read && ( + + )} +
+
+ ); + })} + {/* Fallback trigger at the very end if less than 5 items and not searching */} + {!searchQuery && filteredItems.length < 5 && hasMore && ( +
+ )} +
+ ) : searchQuery ? ( +
+ +

+ {t("no_results_found") || "No results found"} +

+

+ {t("try_different_search") || "Try a different search term"} +

+
+ ) : ( +
+ {activeTab === "mentions" ? ( + + ) : ( + + )} +

{getEmptyStateMessage().title}

+

+ {getEmptyStateMessage().hint} +

+
+ )} +
+ + + )} + , + document.body + ); +} diff --git a/surfsense_web/components/layout/ui/sidebar/MobileSidebar.tsx b/surfsense_web/components/layout/ui/sidebar/MobileSidebar.tsx index 57fba60c9..7dd01d75a 100644 --- a/surfsense_web/components/layout/ui/sidebar/MobileSidebar.tsx +++ b/surfsense_web/components/layout/ui/sidebar/MobileSidebar.tsx @@ -33,6 +33,8 @@ interface MobileSidebarProps { onUserSettings?: () => void; onLogout?: () => void; pageUsage?: PageUsage; + theme?: string; + setTheme?: (theme: "light" | "dark" | "system") => void; } export function MobileSidebarTrigger({ onClick }: { onClick: () => void }) { @@ -70,6 +72,8 @@ export function MobileSidebar({ onUserSettings, onLogout, pageUsage, + theme, + setTheme, }: MobileSidebarProps) { const handleSearchSpaceSelect = (id: number) => { onSearchSpaceSelect(id); @@ -145,6 +149,8 @@ export function MobileSidebar({ onUserSettings={onUserSettings} onLogout={onLogout} pageUsage={pageUsage} + theme={theme} + setTheme={setTheme} className="w-full border-none" />
diff --git a/surfsense_web/components/layout/ui/sidebar/NavSection.tsx b/surfsense_web/components/layout/ui/sidebar/NavSection.tsx index 7b694055b..d2d926de8 100644 --- a/surfsense_web/components/layout/ui/sidebar/NavSection.tsx +++ b/surfsense_web/components/layout/ui/sidebar/NavSection.tsx @@ -30,7 +30,7 @@ export function NavSection({ items, onItemClick, isCollapsed = false }: NavSecti type="button" onClick={() => onItemClick?.(item)} className={cn( - "flex h-10 w-10 items-center justify-center rounded-md transition-colors", + "relative flex h-10 w-10 items-center justify-center rounded-md transition-colors", "hover:bg-accent hover:text-accent-foreground", "focus-visible:outline-none focus-visible:ring-1 focus-visible:ring-ring", item.isActive && "bg-accent text-accent-foreground" @@ -38,6 +38,11 @@ export function NavSection({ items, onItemClick, isCollapsed = false }: NavSecti {...joyrideAttr} > + {item.badge && ( + + {item.badge} + + )} {item.title} @@ -64,7 +69,11 @@ export function NavSection({ items, onItemClick, isCollapsed = false }: NavSecti > {item.title} - {item.badge && {item.badge}} + {item.badge && ( + + {item.badge} + + )} ); })} diff --git a/surfsense_web/components/layout/ui/sidebar/Sidebar.tsx b/surfsense_web/components/layout/ui/sidebar/Sidebar.tsx index 9a632506c..336b695ea 100644 --- a/surfsense_web/components/layout/ui/sidebar/Sidebar.tsx +++ b/surfsense_web/components/layout/ui/sidebar/Sidebar.tsx @@ -35,6 +35,8 @@ interface SidebarProps { onUserSettings?: () => void; onLogout?: () => void; pageUsage?: PageUsage; + theme?: string; + setTheme?: (theme: "light" | "dark" | "system") => void; className?: string; } @@ -58,6 +60,8 @@ export function Sidebar({ onUserSettings, onLogout, pageUsage, + theme, + setTheme, className, }: SidebarProps) { const t = useTranslations("sidebar"); @@ -241,6 +245,8 @@ export function Sidebar({ onUserSettings={onUserSettings} onLogout={onLogout} isCollapsed={isCollapsed} + theme={theme} + setTheme={setTheme} />
diff --git a/surfsense_web/components/layout/ui/sidebar/SidebarSection.tsx b/surfsense_web/components/layout/ui/sidebar/SidebarSection.tsx index 52d681199..0ceafc113 100644 --- a/surfsense_web/components/layout/ui/sidebar/SidebarSection.tsx +++ b/surfsense_web/components/layout/ui/sidebar/SidebarSection.tsx @@ -37,7 +37,7 @@ export function SidebarSection({ {/* Action button - visible on hover (always visible on mobile) */} {action && ( -
+
{action}
)} diff --git a/surfsense_web/components/layout/ui/sidebar/SidebarUserProfile.tsx b/surfsense_web/components/layout/ui/sidebar/SidebarUserProfile.tsx index f67dbf7c6..982d88e8b 100644 --- a/surfsense_web/components/layout/ui/sidebar/SidebarUserProfile.tsx +++ b/surfsense_web/components/layout/ui/sidebar/SidebarUserProfile.tsx @@ -1,24 +1,44 @@ "use client"; -import { ChevronUp, LogOut, Settings } from "lucide-react"; +import { ChevronUp, Languages, Laptop, LogOut, Moon, Settings, Sun } from "lucide-react"; import { useTranslations } from "next-intl"; import { DropdownMenu, DropdownMenuContent, DropdownMenuItem, DropdownMenuLabel, + DropdownMenuPortal, DropdownMenuSeparator, + DropdownMenuSub, + DropdownMenuSubContent, + DropdownMenuSubTrigger, DropdownMenuTrigger, } from "@/components/ui/dropdown-menu"; import { Tooltip, TooltipContent, TooltipTrigger } from "@/components/ui/tooltip"; +import { useLocaleContext } from "@/contexts/LocaleContext"; import { cn } from "@/lib/utils"; import type { User } from "../../types/layout.types"; +// Supported languages configuration +const LANGUAGES = [ + { code: "en" as const, name: "English", flag: "🇺🇸" }, + { code: "zh" as const, name: "简体中文", flag: "🇨🇳" }, +]; + +// Supported themes configuration +const THEMES = [ + { value: "light" as const, name: "Light", icon: Sun }, + { value: "dark" as const, name: "Dark", icon: Moon }, + { value: "system" as const, name: "System", icon: Laptop }, +]; + interface SidebarUserProfileProps { user: User; onUserSettings?: () => void; onLogout?: () => void; isCollapsed?: boolean; + theme?: string; + setTheme?: (theme: "light" | "dark" | "system") => void; } /** @@ -99,12 +119,23 @@ export function SidebarUserProfile({ onUserSettings, onLogout, isCollapsed = false, + theme, + setTheme, }: SidebarUserProfileProps) { const t = useTranslations("sidebar"); + const { locale, setLocale } = useLocaleContext(); const bgColor = stringToColor(user.email); const initials = getInitials(user.email); const displayName = user.name || user.email.split("@")[0]; + const handleLanguageChange = (newLocale: "en" | "zh") => { + setLocale(newLocale); + }; + + const handleThemeChange = (newTheme: "light" | "dark" | "system") => { + setTheme?.(newTheme); + }; + // Collapsed view - just show avatar with dropdown if (isCollapsed) { return ( @@ -118,7 +149,8 @@ export function SidebarUserProfile({ className={cn( "flex h-10 w-full items-center justify-center rounded-md", "hover:bg-accent transition-colors", - "focus-visible:outline-none focus-visible:ring-1 focus-visible:ring-ring" + "focus:outline-none focus-visible:outline-none", + "data-[state=open]:bg-transparent" )} > @@ -129,7 +161,7 @@ export function SidebarUserProfile({ {displayName} - +
@@ -147,6 +179,65 @@ export function SidebarUserProfile({ {t("user_settings")} + {setTheme && ( + + + + {t("theme")} + + + + {THEMES.map((themeOption) => { + const Icon = themeOption.icon; + const isSelected = theme === themeOption.value; + return ( + handleThemeChange(themeOption.value)} + className={cn( + "mb-1 last:mb-0 transition-all", + "hover:bg-accent/50", + isSelected && "bg-accent/80" + )} + > + + {t(themeOption.value)} + + ); + })} + + + + )} + + + + + {t("language")} + + + + {LANGUAGES.map((language) => { + const isSelected = locale === language.code; + return ( + handleLanguageChange(language.code)} + className={cn( + "mb-1 last:mb-0 transition-all", + "hover:bg-accent/50", + isSelected && "bg-accent/80" + )} + > + {language.flag} + {language.name} + + ); + })} + + + + @@ -169,7 +260,8 @@ export function SidebarUserProfile({ className={cn( "flex w-full items-center gap-2 px-2 py-3 text-left", "hover:bg-accent transition-colors", - "focus-visible:outline-none focus-visible:ring-1 focus-visible:ring-ring" + "focus:outline-none focus-visible:outline-none", + "data-[state=open]:bg-transparent" )} > @@ -185,7 +277,7 @@ export function SidebarUserProfile({ - +
@@ -203,6 +295,65 @@ export function SidebarUserProfile({ {t("user_settings")} + {setTheme && ( + + + + {t("theme")} + + + + {THEMES.map((themeOption) => { + const Icon = themeOption.icon; + const isSelected = theme === themeOption.value; + return ( + handleThemeChange(themeOption.value)} + className={cn( + "mb-1 last:mb-0 transition-all", + "hover:bg-accent/50", + isSelected && "bg-accent/80" + )} + > + + {t(themeOption.value)} + + ); + })} + + + + )} + + + + + {t("language")} + + + + {LANGUAGES.map((language) => { + const isSelected = locale === language.code; + return ( + handleLanguageChange(language.code)} + className={cn( + "mb-1 last:mb-0 transition-all", + "hover:bg-accent/50", + isSelected && "bg-accent/80" + )} + > + {language.flag} + {language.name} + + ); + })} + + + + diff --git a/surfsense_web/components/layout/ui/sidebar/index.ts b/surfsense_web/components/layout/ui/sidebar/index.ts index 282e4740b..d9c5edee5 100644 --- a/surfsense_web/components/layout/ui/sidebar/index.ts +++ b/surfsense_web/components/layout/ui/sidebar/index.ts @@ -1,6 +1,7 @@ export { AllPrivateChatsSidebar } from "./AllPrivateChatsSidebar"; export { AllSharedChatsSidebar } from "./AllSharedChatsSidebar"; export { ChatListItem } from "./ChatListItem"; +export { InboxSidebar } from "./InboxSidebar"; export { MobileSidebar, MobileSidebarTrigger } from "./MobileSidebar"; export { NavSection } from "./NavSection"; export { PageUsageDisplay } from "./PageUsageDisplay"; diff --git a/surfsense_web/components/new-chat/chat-header.tsx b/surfsense_web/components/new-chat/chat-header.tsx index fc01b6dd6..a6cf8df3a 100644 --- a/surfsense_web/components/new-chat/chat-header.tsx +++ b/surfsense_web/components/new-chat/chat-header.tsx @@ -5,18 +5,14 @@ import type { GlobalNewLLMConfig, NewLLMConfigPublic, } from "@/contracts/types/new-llm-config.types"; -import type { ChatVisibility, ThreadRecord } from "@/lib/chat/thread-persistence"; -import { ChatShareButton } from "./chat-share-button"; import { ModelConfigSidebar } from "./model-config-sidebar"; import { ModelSelector } from "./model-selector"; interface ChatHeaderProps { searchSpaceId: number; - thread?: ThreadRecord | null; - onThreadVisibilityChange?: (visibility: ChatVisibility) => void; } -export function ChatHeader({ searchSpaceId, thread, onThreadVisibilityChange }: ChatHeaderProps) { +export function ChatHeader({ searchSpaceId }: ChatHeaderProps) { const [sidebarOpen, setSidebarOpen] = useState(false); const [selectedConfig, setSelectedConfig] = useState< NewLLMConfigPublic | GlobalNewLLMConfig | null @@ -52,7 +48,6 @@ export function ChatHeader({ searchSpaceId, thread, onThreadVisibilityChange }: return (
- Array.isArray(query.queryKey) && query.queryKey[0] === "threads", }); @@ -70,12 +79,12 @@ export function ChatShareButton({ thread, onVisibilityChange, className }: ChatS setOpen(false); } catch (error) { console.error("Failed to update visibility:", error); + // Revert Jotai state on error + setThreadVisibility(thread.visibility ?? "PRIVATE"); toast.error("Failed to update sharing settings"); - } finally { - setIsUpdating(false); } }, - [thread, currentVisibility, onVisibilityChange, queryClient] + [thread, currentVisibility, onVisibilityChange, queryClient, setThreadVisibility] ); // Don't show if no thread (new chat that hasn't been created yet) @@ -83,45 +92,38 @@ export function ChatShareButton({ thread, onVisibilityChange, className }: ChatS return null; } - const CurrentIcon = currentVisibility === "PRIVATE" ? Lock : Users; + const CurrentIcon = currentVisibility === "PRIVATE" ? User : Users; return ( - - - + + + + + + + Share settings + e.preventDefault()} >
- {/* Updating overlay */} - {isUpdating && ( -
-
- - Updating -
-
- )} - {visibilityOptions.map((option) => { const isSelected = currentVisibility === option.value; const Icon = option.icon; @@ -131,9 +133,8 @@ export function ChatShareButton({ thread, onVisibilityChange, className }: ChatS type="button" key={option.value} onClick={() => handleVisibilityChange(option.value)} - disabled={isUpdating} className={cn( - "w-full flex items-start gap-2.5 px-2.5 py-2 rounded-md transition-all", + "w-full flex items-center gap-2.5 px-2.5 py-2 rounded-md transition-all", "hover:bg-accent/50 cursor-pointer", "focus:outline-none", isSelected && "bg-accent/80" @@ -141,13 +142,13 @@ export function ChatShareButton({ thread, onVisibilityChange, className }: ChatS >
@@ -157,11 +158,6 @@ export function ChatShareButton({ thread, onVisibilityChange, className }: ChatS {option.label} - {isSelected && ( - - Current - - )}

{option.description} diff --git a/surfsense_web/components/new-chat/model-config-sidebar.tsx b/surfsense_web/components/new-chat/model-config-sidebar.tsx index 9d755f221..2e22612ad 100644 --- a/surfsense_web/components/new-chat/model-config-sidebar.tsx +++ b/surfsense_web/components/new-chat/model-config-sidebar.tsx @@ -4,6 +4,7 @@ import { useAtomValue } from "jotai"; import { AlertCircle, Bot, ChevronRight, Globe, User, X } from "lucide-react"; import { AnimatePresence, motion } from "motion/react"; import { useCallback, useEffect, useState } from "react"; +import { createPortal } from "react-dom"; import { toast } from "sonner"; import { createNewLLMConfigMutationAtom, @@ -38,6 +39,12 @@ export function ModelConfigSidebar({ mode, }: ModelConfigSidebarProps) { const [isSubmitting, setIsSubmitting] = useState(false); + const [mounted, setMounted] = useState(false); + + // Handle SSR - only render portal on client + useEffect(() => { + setMounted(true); + }, []); // Mutations - use mutateAsync from the atom value const { mutateAsync: createConfig } = useAtomValue(createNewLLMConfigMutationAtom); @@ -147,7 +154,9 @@ export function ModelConfigSidebar({ } }, [config, isGlobal, searchSpaceId, updatePreferences, onOpenChange]); - return ( + if (!mounted) return null; + + const sidebarContent = ( {open && ( <> @@ -157,7 +166,7 @@ export function ModelConfigSidebar({ animate={{ opacity: 1 }} exit={{ opacity: 0 }} transition={{ duration: 0.2 }} - className="fixed inset-0 z-40 bg-black/20 backdrop-blur-sm" + className="fixed inset-0 z-[24] bg-black/20 backdrop-blur-sm" onClick={() => onOpenChange(false)} /> @@ -172,7 +181,7 @@ export function ModelConfigSidebar({ stiffness: 300, }} className={cn( - "fixed right-0 top-0 z-50 h-full w-full sm:w-[480px] lg:w-[540px]", + "fixed right-0 top-0 z-[25] h-full w-full sm:w-[480px] lg:w-[540px]", "bg-background border-l border-border/50 shadow-2xl", "flex flex-col" )} @@ -245,16 +254,16 @@ export function ModelConfigSidebar({

-
{config.description && (
-
)} @@ -264,15 +273,15 @@ export function ModelConfigSidebar({
-
-
@@ -281,9 +290,9 @@ export function ModelConfigSidebar({
-