update: debug create file by jupyter

backend/src/backend/runtime_client.py

@@ -4,7 +4,7 @@ from dataclasses import dataclass
 from typing import Any
 
 import httpx
-
+from loguru import logger
 
 @dataclass(frozen=True)
 class RuntimeClientError(Exception):
@@ -77,5 +77,133 @@ class RuntimeClient:
             {"action": "start", "workspace_id": workspace_id},
         )
 
+    async def _ensure_workspace(
+        self,
+        workspace_id: str,
+    ) -> dict[str, Any]:
+        """Return a running workspace descriptor, starting it if needed.
+
+        Mirrors the lazy-start pattern used by
+        :func:`backend.jupyter.verify_jupyter_access`: try ``get``
+        first, fall through to ``start`` if the workspace is not yet
+        running. Bumps ``last_used_at`` via the runtime registry on the
+        way in, so the idle reaper is satisfied for the duration of the
+        subsequent Jupyter call.
+        """
+        ws = await self.get_workspace(workspace_id)
+        if not ws or ws.get("status") != "running":
+            ws = await self.start_workspace(workspace_id)
+        if not ws.get("port") or not ws.get("token"):
+            raise RuntimeClientError(
+                500,
+                {
+                    "code": "JUPYTER_DESCRIPTOR_INVALID",
+                    "message": "Runtime returned no port/token for workspace",
+                    "retryable": False,
+                    "details": {"workspace_id": workspace_id},
+                },
+            )
+        return ws
+
+    async def _jupyter_contents_post(
+        self,
+        workspace_id: str,
+        ws: dict[str, Any],
+        body: dict[str, Any],
+    ) -> dict[str, Any]:
+        """POST to the workspace Jupyter's ``/api/contents/`` directly.
+
+        Builds the URL from the per-workspace ``base_url`` + ``port``
+        and authenticates with the runtime-issued token. We reuse the
+        existing ``httpx.AsyncClient`` (its ``base_url`` is overridden
+        by the absolute URL we hand it).
+        """
+        url = (
+            f"{ws['base_url']}:{ws['port']}"
+            f"/jupyter/{workspace_id}/api/contents/"
+        )
+        logger.debug(url)
+        logger.debug(body)
+        headers = {"Authorization": f"token {ws['token']}"}
+        try:
+            response = await self.client.post(
+                url, json=body, headers=headers
+            )
+        except httpx.RequestError as exc:
+            raise _RUNTIME_TRANSPORT_ERROR from exc
+        if response.is_error:
+            try:
+                detail = response.json()
+            except ValueError:
+                detail = response.text
+            raise RuntimeClientError(response.status_code, detail)
+        return response.json()
+
+    async def create_notebook(
+        self,
+        workspace_id: str,
+        *,
+        name: str,
+        cells: list[dict[str, Any]] | None = None,
+    ) -> dict[str, Any]:
+        """Create a notebook in the workspace root.
+
+        Auto-starts the workspace's Jupyter if it is not yet running,
+        then posts to the Jupyter contents API
+        (``/jupyter/{ws_id}/api/contents/``) directly using the
+        runtime-issued token. Returns the Jupyter contents descriptor
+        (``path``, ``type``, ``created``, ``writable``...).
+
+        ``name`` must be a safe basename (no path separators); the
+        Jupyter side will reject anything that escapes the workspace
+        root.
+        """
+        ws = await self._ensure_workspace(workspace_id)
+        logger.debug(ws)
+        body = {
+            "type": "notebook",
+            "name": name,
+            "content": {
+                "cells": cells if cells is not None else [],
+                "metadata": {},
+                "nbformat": 4,
+                "nbformat_minor": 5,
+            },
+        }
+
+        return await self._jupyter_contents_post(workspace_id, ws, body)
+
+    async def upload_file(
+        self,
+        workspace_id: str,
+        *,
+        name: str,
+        content: str,
+        content_type: str = "text/plain",
+    ) -> dict[str, Any]:
+        """Upload a text file to the workspace root.
+
+        ``content_type`` selects the Jupyter ``format`` field: anything
+        under ``text/`` or ``application/json`` is sent as ``text``.
+        Binary uploads are not yet supported and raise ``ValueError``
+        — the Jupyter contents API base64 pathway is not wired up here.
+        """
+        if not (
+            content_type.startswith("text/")
+            or content_type == "application/json"
+        ):
+            raise ValueError(
+                f"content_type '{content_type}' is not supported; "
+                "only text/* and application/json are accepted"
+            )
+        ws = await self._ensure_workspace(workspace_id)
+        body = {
+            "type": "file",
+            "name": name,
+            "content": content,
+            "format": "text",
+        }
+        return await self._jupyter_contents_post(workspace_id, ws, body)
+
 
 __all__ = ["RuntimeClient", "RuntimeClientError"]

backend/src/backend/scripts.py

@@ -7,7 +7,7 @@ import mimetypes
 from datetime import UTC, datetime
 from pathlib import PurePosixPath
 from typing import Any
-
+from loguru import logger
 from fastapi import (
     APIRouter,
     BackgroundTasks,
@@ -32,6 +32,7 @@ from backend.dependencies import (
     database_session,
     request_context,
 )
+from backend.runtime_client import RuntimeClientError
 from backend.schemas import (
     CreateScriptRequest,
     CreateWorkspaceDirectoryRequest,
@@ -279,7 +280,7 @@ async def create_script_record(
     ) if parent_path is None else normalize_user_path(parent_path)
     child_path = f"{folder}/{name}" if folder else name
     relative_path = user_relative_path(context, child_path)
-
+    logger.debug(relative_path)
     existing_script = await session.scalar(
         select(Scripts)
         .join(
@@ -290,6 +291,7 @@ async def create_script_record(
             Scripts.workspace_id == context.workspace.workspace_id,
             StorageObjects.relative_path == relative_path,
             Scripts.status == "active",
+            Scripts.is_deleted == 0,
         )
     )
     if existing_script is not None:
@@ -298,19 +300,51 @@ async def create_script_record(
             "a file with the same path already exists",
         )
 
-    storage_data = await request.app.state.storage_client.create_server_object(
+    # Push the file directly to the workspace's live Jupyter instance.
-        workspace_id=context.workspace.workspace_id,
+    # Auto-starts the workspace if no Jupyter is running yet. Once
-        user_id=context.user.user_id,
+    # Jupyter has the file in its local mount, the rclone VFS will
-        usage_type="working_copy",
+    # eventually replicate it back to object storage.
-        file_name=name,
+    runtime_client = request.app.state.runtime_client
-        content_type=mimetypes.guess_type(name)[0]
+    workspace_id = context.workspace.workspace_id
-        or "application/octet-stream",
+    content_hash = hashlib.sha256(content).hexdigest()
-        content=content,
+    size_bytes = len(content)
-        visibility=visibility,
+    try:
-        is_immutable=False,
+        if script_type == "notebook":
-        idempotency_key=f"script:{context.workspace.workspace_id}:{relative_path}",
+            notebook = json.loads(content.decode("utf-8"))
-        relative_path=relative_path,
+            logger.debug(notebook)
-    )
+            jupyter_resp = await runtime_client.create_notebook(
+                workspace_id,
+                name=name,
+                cells=notebook.get("cells"),
+            )
+        else:
+            jupyter_resp = await runtime_client.upload_file(
+                workspace_id,
+                name=name,
+                content=content.decode("utf-8"),
+                content_type=(
+                    mimetypes.guess_type(name)[0] or "text/plain"
+                ),
+            )
+        logger.debug(jupyter_resp)
+    except RuntimeClientError as exc:
+        raise HTTPException(
+            status_code=exc.status_code,
+            detail=exc.detail,
+        ) from exc
+
+    # Synthesise a storage_data-shaped dict from the Jupyter response
+    # so the existing script_payload + response shape keep working.
+    # The storage_object_id is a fresh ULID — there is no real
+    # StorageObject row for this file; downstream list/get operations
+    # that JOIN StorageObjects will skip jupyter-only scripts.
+    storage_data = {
+        "storage_object_id": new_ulid(),
+        "relative_path": relative_path,
+        "object_key": f"{workspace_id}/{relative_path}",
+        "content_hash": content_hash,
+        "size_bytes": size_bytes,
+    }
     object_id = storage_data["storage_object_id"]
     script = await session.scalar(
         select(Scripts).where(Scripts.current_object_id == object_id)