Add teams connector similar to slack

surfsense_backend/app/services/connector_service.py

@@ -2269,6 +2269,80 @@ class ConnectorService:
 
         return result_object, discord_docs
 
+    async def search_teams(
+        self,
+        user_query: str,
+        search_space_id: int,
+        top_k: int = 20,
+        start_date: datetime | None = None,
+        end_date: datetime | None = None,
+    ) -> tuple:
+        """
+        Search for Microsoft Teams messages and return both the source information and langchain documents.
+
+        Uses combined chunk-level and document-level hybrid search with RRF fusion.
+
+        Args:
+            user_query: The user's query
+            search_space_id: The search space ID to search in
+            top_k: Maximum number of results to return
+            start_date: Optional start date for filtering documents by updated_at
+            end_date: Optional end date for filtering documents by updated_at
+
+        Returns:
+            tuple: (sources_info, langchain_documents)
+        """
+        teams_docs = await self._combined_rrf_search(
+            query_text=user_query,
+            search_space_id=search_space_id,
+            document_type="TEAMS_CONNECTOR",
+            top_k=top_k,
+            start_date=start_date,
+            end_date=end_date,
+        )
+
+        # Early return if no results
+        if not teams_docs:
+            return {
+                "id": 53,
+                "name": "Microsoft Teams",
+                "type": "TEAMS_CONNECTOR",
+                "sources": [],
+            }, []
+
+        def _title_fn(_doc_info: dict[str, Any], metadata: dict[str, Any]) -> str:
+            team_name = metadata.get("team_name", "Unknown Team")
+            channel_name = metadata.get("channel_name", "Unknown Channel")
+            message_date = metadata.get("start_date", "")
+            title = f"Teams: {team_name} - {channel_name}"
+            if message_date:
+                title += f" ({message_date})"
+            return title
+
+        def _url_fn(_doc_info: dict[str, Any], metadata: dict[str, Any]) -> str:
+            team_id = metadata.get("team_id", "")
+            channel_id = metadata.get("channel_id", "")
+            if team_id and channel_id:
+                return f"https://teams.microsoft.com/l/channel/{channel_id}/General?groupId={team_id}"
+            return ""
+
+        sources_list = self._build_chunk_sources_from_documents(
+            teams_docs,
+            title_fn=_title_fn,
+            url_fn=_url_fn,
+            description_fn=lambda chunk, _doc_info, _metadata: chunk.get("content", ""),
+        )
+
+        # Create result object
+        result_object = {
+            "id": 53,
+            "name": "Microsoft Teams",
+            "type": "TEAMS_CONNECTOR",
+            "sources": sources_list,
+        }
+
+        return result_object, teams_docs
+
     async def search_luma(
         self,
         user_query: str,