chore: Move clients into separate submodule

nextcloud_mcp_server/client/tables.py

@@ -0,0 +1,125 @@
+"""Client for Nextcloud Tables app operations."""
+
+from typing import Dict, List, Any, Optional
+import logging
+
+from .base import BaseNextcloudClient
+
+logger = logging.getLogger(__name__)
+
+
+class TablesClient(BaseNextcloudClient):
+    """Client for Nextcloud Tables app operations."""
+
+    async def list_tables(self) -> List[Dict[str, Any]]:
+        """List all tables available to the user."""
+        response = await self._make_request(
+            "GET",
+            "/ocs/v2.php/apps/tables/api/2/tables",
+            headers={"OCS-APIRequest": "true", "Accept": "application/json"},
+        )
+        result = response.json()
+        return result["ocs"]["data"]
+
+    async def get_table_schema(self, table_id: int) -> Dict[str, Any]:
+        """Get the schema/structure of a specific table including columns and views."""
+        # Using v1 API as v2 schema endpoint had issues during testing
+        response = await self._make_request(
+            "GET", f"/index.php/apps/tables/api/1/tables/{table_id}/scheme"
+        )
+        return response.json()
+
+    async def get_table_rows(
+        self, table_id: int, limit: Optional[int] = None, offset: Optional[int] = None
+    ) -> List[Dict[str, Any]]:
+        """Read rows from a table with optional pagination."""
+        params = {}
+        if limit is not None:
+            params["limit"] = limit
+        if offset is not None:
+            params["offset"] = offset
+
+        response = await self._make_request(
+            "GET", f"/index.php/apps/tables/api/1/tables/{table_id}/rows", params=params
+        )
+        return response.json()
+
+    async def create_row(self, table_id: int, data: Dict[str, Any]) -> Dict[str, Any]:
+        """Insert a new row into a table.
+
+        Args:
+            table_id: ID of the table to insert into
+            data: Dictionary mapping column IDs to values, e.g. {1: "text", 2: 42}
+        """
+        # Transform data to API format: {"data": {"1": "text", "2": 42}}
+        api_data = {str(k): v for k, v in data.items()}
+
+        response = await self._make_request(
+            "POST",
+            f"/ocs/v2.php/apps/tables/api/2/tables/{table_id}/rows",
+            headers={"OCS-APIRequest": "true", "Accept": "application/json"},
+            json={"data": api_data},
+        )
+        result = response.json()
+        return result["ocs"]["data"]
+
+    async def update_row(self, row_id: int, data: Dict[str, Any]) -> Dict[str, Any]:
+        """Update an existing row in a table.
+
+        Args:
+            row_id: ID of the row to update
+            data: Dictionary mapping column IDs to new values, e.g. {1: "new text", 2: 99}
+        """
+        # Transform data to API format for v1 endpoint
+        api_data = {str(k): v for k, v in data.items()}
+
+        response = await self._make_request(
+            "PUT",
+            f"/index.php/apps/tables/api/1/rows/{row_id}",
+            json={"data": api_data},
+        )
+        return response.json()
+
+    async def delete_row(self, row_id: int) -> Dict[str, Any]:
+        """Delete a row from a table."""
+        response = await self._make_request(
+            "DELETE", f"/index.php/apps/tables/api/1/rows/{row_id}"
+        )
+        return response.json()
+
+    def transform_row_data(
+        self, rows: List[Dict[str, Any]], columns: List[Dict[str, Any]]
+    ) -> List[Dict[str, Any]]:
+        """Transform raw row data into more readable format using column names.
+
+        Args:
+            rows: Raw row data from the API
+            columns: Column definitions from table schema
+
+        Returns:
+            List of rows with column names as keys instead of column IDs
+        """
+        # Create mapping from column ID to column title
+        column_map = {col["id"]: col["title"] for col in columns}
+
+        transformed_rows = []
+        for row in rows:
+            transformed_row = {
+                "id": row["id"],
+                "tableId": row["tableId"],
+                "createdBy": row["createdBy"],
+                "createdAt": row["createdAt"],
+                "lastEditBy": row["lastEditBy"],
+                "lastEditAt": row["lastEditAt"],
+                "data": {},
+            }
+
+            # Transform data array to column_name: value mapping
+            for item in row["data"]:
+                column_id = item["columnId"]
+                column_name = column_map.get(column_id, f"column_{column_id}")
+                transformed_row["data"][column_name] = item["value"]
+
+            transformed_rows.append(transformed_row)
+
+        return transformed_rows