api/routers/database/tools/tldraw_supabase_storage.py

326 lines
14 KiB
Python

"""
TLDraw Supabase Storage Router
=============================
Handles TLDraw snapshot operations using Supabase Storage instead of local filesystem.
This replaces the old filesystem-based tldraw_filesystem.py router.
"""
from dotenv import load_dotenv, find_dotenv
load_dotenv(find_dotenv())
import os
import json
import logging
from fastapi import APIRouter, Depends, HTTPException, Query
from typing import Dict, Any, Tuple
from modules.auth.supabase_bearer import SupabaseBearer
from modules.database.supabase.utils.client import SupabaseServiceRoleClient
from modules.database.supabase.utils.storage import StorageError, StorageUser
from modules.logger_tool import initialise_logger
router = APIRouter()
logger = initialise_logger(__name__, os.getenv("LOG_LEVEL"), os.getenv("LOG_PATH"), 'default', True)
ALLOWED_SNAPSHOT_BUCKETS = {"cc.public.snapshots"}
PERSONAL_NODE_TYPES = {"User", "Teacher", "Developer", "SuperAdmin", "UserTeacherTimetable"}
GLOBAL_READONLY_NODE_TYPES = {"CalendarYear", "CalendarMonth", "CalendarWeek", "CalendarDay", "CalendarTimeChunk"}
def _sb() -> SupabaseServiceRoleClient:
return SupabaseServiceRoleClient()
def _parse_snapshot_path(path: str) -> Tuple[str, str, str, str]:
"""Parse and validate bucket/node_type/node_id into a storage object path."""
if not path:
raise HTTPException(status_code=400, detail="Path not provided")
path_parts = [part for part in path.split('/') if part]
if len(path_parts) != 3:
raise HTTPException(status_code=400, detail="Invalid path format. Expected: bucket/nodetype/node_id")
bucket, node_type, node_id = path_parts
if bucket not in ALLOWED_SNAPSHOT_BUCKETS:
raise HTTPException(status_code=403, detail="Snapshot bucket is not allowed")
if any(part in {".", ".."} or ".." in part for part in path_parts):
raise HTTPException(status_code=400, detail="Invalid path component")
if not node_type.replace("_", "").replace("-", "").isalnum():
raise HTTPException(status_code=400, detail="Invalid node type")
if not node_id.replace("_", "").replace("-", "").isalnum():
raise HTTPException(status_code=400, detail="Invalid node id")
return bucket, node_type, node_id, f"{node_type}/{node_id}/tldraw_file.json"
def _user_scope(user_id: str) -> Dict[str, Any]:
"""Resolve Supabase/Neo4j scope for the authenticated user."""
scope: Dict[str, Any] = {
"user_id": user_id,
"teacher_db": f"cc.users.teacher.{user_id.replace('-', '')}" if user_id else "",
"institute_id": "",
"institute_db": "",
"curriculum_db": "",
}
if not user_id:
return scope
try:
sb = _sb()
prof = sb.supabase.table("profiles").select("school_id").eq("id", user_id).single().execute()
school_id = str((prof.data or {}).get("school_id") or "")
scope["institute_id"] = school_id
if school_id:
inst = sb.supabase.table("institutes").select("neo4j_uuid_string").eq("id", school_id).single().execute()
neo4j_uuid = (inst.data or {}).get("neo4j_uuid_string")
if neo4j_uuid:
scope["institute_db"] = f"cc.institutes.{neo4j_uuid}"
scope["curriculum_db"] = f"cc.institutes.{neo4j_uuid}.curriculum"
except Exception as exc:
logger.warning(f"Could not resolve TLDraw storage scope for user {user_id}: {exc}")
return scope
def _authorize_snapshot_path(path: str, db_name: str, credentials: Dict[str, Any], write: bool) -> Tuple[str, str, str, str]:
"""Authorize TLDraw snapshot access before touching Supabase Storage."""
user_id = credentials.get("sub", "")
if not user_id:
raise HTTPException(status_code=403, detail="Could not extract user_id from token")
bucket, node_type, node_id, file_path = _parse_snapshot_path(path)
scope = _user_scope(user_id)
allowed_dbs = {db for db in (scope["teacher_db"], scope["institute_db"], scope["curriculum_db"]) if db}
if node_type in PERSONAL_NODE_TYPES:
if node_id == user_id or (db_name and db_name == scope["teacher_db"]):
return bucket, node_type, node_id, file_path
raise HTTPException(status_code=403, detail="Snapshot path is outside the authenticated user's workspace")
if node_type in GLOBAL_READONLY_NODE_TYPES and db_name == "classroomcopilot":
if write:
raise HTTPException(status_code=403, detail="Global calendar snapshots are read-only")
return bucket, node_type, node_id, file_path
# Institute/curriculum snapshots must be accessed through the caller's institute DB.
if db_name and db_name in allowed_dbs:
return bucket, node_type, node_id, file_path
raise HTTPException(status_code=403, detail="Snapshot path is outside the authenticated user's tenant")
def _storage_for_user(credentials: Dict[str, Any]) -> StorageUser:
access_token = credentials.get("_access_token")
if not access_token:
raise HTTPException(status_code=403, detail="User access token is required for storage access")
return StorageUser(user_id=credentials.get("sub"), access_token=access_token)
def _is_valid_tldraw_snapshot(snapshot_data: Any) -> bool:
if not isinstance(snapshot_data, dict):
return False
if not ("document" in snapshot_data and "session" in snapshot_data):
return False
document = snapshot_data.get("document")
if isinstance(document, dict) and "schema" in document:
return True
return "schemaVersion" in snapshot_data
def create_default_tldraw_content():
"""Create default tldraw content structure."""
return {
"document": {
"store": {
"document:document": {
"gridSize": 10,
"name": "",
"meta": {},
"id": "document:document",
"typeName": "document"
},
"page:page": {
"meta": {},
"id": "page:page",
"name": "Page 1",
"index": "a1",
"typeName": "page"
}
},
"schema": {
"schemaVersion": 2,
"sequences": {
"com.tldraw.store": 4,
"com.tldraw.asset": 1,
"com.tldraw.camera": 1,
"com.tldraw.document": 2,
"com.tldraw.instance": 25,
"com.tldraw.instance_page_state": 5,
"com.tldraw.page": 1,
"com.tldraw.instance_presence": 5,
"com.tldraw.pointer": 1,
"com.tldraw.shape": 4,
"com.tldraw.asset.bookmark": 2,
"com.tldraw.asset.image": 5,
"com.tldraw.asset.video": 5,
"com.tldraw.shape.arrow": 5,
"com.tldraw.shape.bookmark": 2,
"com.tldraw.shape.draw": 2,
"com.tldraw.shape.embed": 4,
"com.tldraw.shape.frame": 0,
"com.tldraw.shape.geo": 9,
"com.tldraw.shape.group": 0,
"com.tldraw.shape.highlight": 1,
"com.tldraw.shape.image": 4,
"com.tldraw.shape.line": 5,
"com.tldraw.shape.note": 8,
"com.tldraw.shape.text": 2,
"com.tldraw.shape.video": 2,
"com.tldraw.binding.arrow": 0
}
},
"recordVersions": {
"asset": {"version": 1, "subTypeKey": "type", "subTypeVersions": {}},
"camera": {"version": 1},
"document": {"version": 2},
"instance": {"version": 21},
"instance_page_state": {"version": 5},
"page": {"version": 1},
"shape": {"version": 3, "subTypeKey": "type", "subTypeVersions": {}},
"instance_presence": {"version": 5},
"pointer": {"version": 1}
},
"rootShapeIds": [],
"bindings": [],
"assets": []
},
"session": {
"version": 0,
"currentPageId": "page:page",
"pageStates": [{
"pageId": "page:page",
"camera": {"x": 0, "y": 0, "z": 1},
"selectedShapeIds": []
}]
}
}
@router.get("/get_tldraw_node_file")
async def read_tldraw_node_file_from_supabase(
path: str = Query(..., description="Supabase Storage path (e.g., 'cc.public.snapshots/User/user_id')"),
db_name: str = Query(..., description="Database name for context"),
credentials: dict = Depends(SupabaseBearer()),
):
"""
Load TLDraw snapshot from Supabase Storage.
Args:
path: Supabase Storage path in format 'bucket/nodetype/node_id'
db_name: Database name for context (used for logging)
Returns:
TLDraw snapshot data
"""
logger.debug(f"Reading tldraw file from Supabase Storage for path: {path}")
logger.debug(f"Database name: {db_name}")
try:
bucket, node_type, node_id, file_path = _authorize_snapshot_path(path, db_name, credentials, write=False)
storage = _storage_for_user(credentials)
logger.debug(f"Bucket: {bucket}")
logger.debug(f"File path: {file_path}")
try:
# Try to download the file from Supabase Storage
file_data = storage.download_file(bucket, file_path)
# Parse JSON data
try:
snapshot_data = json.loads(file_data.decode('utf-8'))
except (UnicodeDecodeError, json.JSONDecodeError) as e:
logger.warning(f"Malformed TLDraw snapshot {file_path}; returning default content: {e}")
return create_default_tldraw_content()
logger.info(f"Successfully loaded tldraw snapshot from Supabase Storage: {file_path}")
if _is_valid_tldraw_snapshot(snapshot_data):
return snapshot_data
logger.warning(f"Snapshot data from {file_path} is missing required TLDraw structure. Using default structure.")
return create_default_tldraw_content()
except StorageError as e:
# File doesn't exist, create default content
logger.info(f"File not found in Supabase Storage, creating default tldraw content: {file_path}")
# Create default tldraw content
default_content = create_default_tldraw_content()
try:
# Upload default content to Supabase Storage
json_data = json.dumps(default_content, indent=2).encode('utf-8')
storage.upload_file(bucket, file_path, json_data, 'application/json', upsert=True)
logger.info(f"Default tldraw file created in Supabase Storage: {file_path}")
return default_content
except Exception as upload_error:
logger.error(f"Error creating default tldraw file in Supabase Storage: {upload_error}")
raise HTTPException(status_code=500, detail="Error creating default tldraw file")
except HTTPException:
# Re-raise HTTP exceptions
raise
except Exception as e:
logger.error(f"Unexpected error loading tldraw file from Supabase Storage: {e}")
raise HTTPException(status_code=500, detail=f"Error loading file: {str(e)}")
@router.post("/set_tldraw_node_file")
async def set_tldraw_node_file_in_supabase(
path: str = Query(..., description="Supabase Storage path (e.g., 'cc.public.snapshots/User/user_id')"),
db_name: str = Query(..., description="Database name for context"),
data: Dict[str, Any] = None,
credentials: dict = Depends(SupabaseBearer()),
):
"""
Save TLDraw snapshot to Supabase Storage.
Args:
path: Supabase Storage path in format 'bucket/nodetype/node_id'
db_name: Database name for context (used for logging)
data: TLDraw snapshot data to save
Returns:
Success status
"""
logger.debug(f"Saving tldraw file to Supabase Storage for path: {path}")
logger.debug(f"Database name: {db_name}")
if not data:
raise HTTPException(status_code=400, detail="Data not provided")
try:
bucket, node_type, node_id, file_path = _authorize_snapshot_path(path, db_name, credentials, write=True)
storage = _storage_for_user(credentials)
logger.debug(f"Bucket: {bucket}")
logger.debug(f"File path: {file_path}")
# Convert data to JSON
try:
json_data = json.dumps(data, indent=2).encode('utf-8')
except (TypeError, ValueError) as e:
logger.error(f"Failed to serialize data to JSON: {e}")
raise HTTPException(status_code=400, detail="Invalid data format")
# Upload to Supabase Storage
try:
storage.upload_file(bucket, file_path, json_data, 'application/json', upsert=True)
logger.info(f"Successfully saved tldraw snapshot to Supabase Storage: {file_path}")
return {"status": "success", "message": "File saved successfully"}
except Exception as upload_error:
logger.error(f"Error uploading file to Supabase Storage: {upload_error}")
raise HTTPException(status_code=500, detail="Error saving file")
except HTTPException:
# Re-raise HTTP exceptions
raise
except Exception as e:
logger.error(f"Unexpected error saving tldraw file to Supabase Storage: {e}")
raise HTTPException(status_code=500, detail=f"Error saving file: {str(e)}")