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Canvas Tool Backend Helper
Provides helper functions for agents to present charts and visualizations
to users via the Canvas system.
Now includes governance integration with:
- Agent execution tracking for all presentations
- Governance checks before presenting
- Complete audit trail via canvas_audit table
- Performance-optimized caching
Refactored to use standardized decorators and service factory.
"""
from datetime import datetime
from typing import Any, Dict, List, Optional
import uuid
from sqlalchemy.orm import Session
from core.agent_context_resolver import AgentContextResolver
from core.canvas_type_registry import canvas_type_registry
from core.feature_flags import FeatureFlags
from core.models import AgentExecution, CanvasAudit
from core.structured_logger import get_logger
from core.websockets import manager as ws_manager
logger = get_logger(__name__)
async def _create_canvas_audit(
db: Session,
agent_id: Optional[str],
agent_execution_id: Optional[str],
user_id: str,
canvas_id: Optional[str],
session_id: Optional[str], # Session isolation
canvas_type: str = "generic", # NEW: Canvas type (generic, docs, email, sheets, orchestration, terminal, coding)
component_type: str = "component", # NEW: Default component type
component_name: Optional[str] = None,
action: str = "present",
governance_check_passed: Optional[bool] = None,
metadata: Dict[str, Any] = None
) -> Optional[CanvasAudit]:
"""
Create a canvas audit entry for tracking.
Helper function to log all canvas actions for governance and audit trail.
Args:
db: Database session
agent_id: Optional agent ID
agent_execution_id: Optional agent execution ID
user_id: User ID
canvas_id: Canvas ID
session_id: Optional session ID for isolation
canvas_type: Canvas type (generic, docs, email, sheets, orchestration, terminal, coding)
component_type: Component type (chart, markdown, form, rich_editor, thread_view, etc.)
component_name: Optional component name
action: Action (present, close, submit, update)
governance_check_passed: Whether governance check passed
metadata: Optional metadata dictionary
Returns:
CanvasAudit object or None on failure
"""
try:
audit = CanvasAudit(
id=str(uuid.uuid4()),
workspace_id="default",
agent_id=agent_id,
agent_execution_id=agent_execution_id,
user_id=user_id,
canvas_id=canvas_id,
session_id=session_id,
canvas_type=canvas_type, # NEW: Canvas type
component_type=component_type,
component_name=component_name,
action=action,
audit_metadata=metadata or {},
governance_check_passed=governance_check_passed
)
db.add(audit)
db.commit()
db.refresh(audit)
return audit
except Exception as e:
logger.error(f"Failed to create canvas audit: {e}")
return None
async def present_chart(
user_id: str,
chart_type: str,
data: List[Dict[str, Any]],
title: str = None,
agent_id: Optional[str] = None,
session_id: Optional[str] = None,
**kwargs
):
"""
Send a chart to the frontend canvas with governance integration.
Args:
user_id: User ID to send the chart to
chart_type: 'line_chart', 'bar_chart', or 'pie_chart'
data: List of dicts with chart data
title: Chart title
agent_id: Agent ID presenting the chart (for governance)
session_id: Optional session ID for session isolation
**kwargs: Additional chart options (color, etc.)
"""
from core.database import get_db_session
agent = None
agent_execution = None
governance_check = None
try:
# Governance: Resolve agent and check permissions
if FeatureFlags.should_enforce_governance('canvas'):
with get_db_session() as db:
resolver = AgentContextResolver(db)
from core.service_factory import ServiceFactory
governance = ServiceFactory.get_governance_service(db)
# Resolve agent
agent, resolution_context = await resolver.resolve_agent_for_request(
user_id=user_id,
requested_agent_id=agent_id,
action_type="present_chart"
)
# Check governance
if agent:
governance_check = governance.can_perform_action(
agent_id=agent.id,
action_type="present_chart"
)
if not governance_check["allowed"]:
logger.warning(f"Governance blocked chart presentation: {governance_check['reason']}")
return {
"success": False,
"error": f"Agent not permitted to present chart: {governance_check['reason']}"
}
# Create agent execution record
agent_execution = AgentExecution(
agent_id=agent.id,
workspace_id="default",
status="running",
input_summary=f"Present {chart_type}: {title or 'Untitled'}",
triggered_by="canvas"
)
db.add(agent_execution)
db.commit()
db.refresh(agent_execution)
logger.info(f"Agent execution {agent_execution.id} for chart presentation")
# Present the chart via WebSocket
user_channel = f"user:{user_id}"
if session_id:
user_channel = f"user:{user_id}:session:{session_id}"
canvas_id = str(uuid.uuid4())
await ws_manager.broadcast(
user_channel,
{
"type": "canvas:update",
"data": {
"action": "present",
"component": f"{chart_type}",
"canvas_id": canvas_id,
"session_id": session_id,
"data": {"data": data, "title": title, **kwargs}
}
}
)
# Create audit entry
if FeatureFlags.should_enforce_governance('canvas'):
with get_db_session() as db:
await _create_canvas_audit(
db=db,
agent_id=agent.id if agent else None,
agent_execution_id=agent_execution.id if agent_execution else None,
user_id=user_id,
canvas_id=canvas_id,
session_id=session_id,
canvas_type="generic", # Generic canvas for charts
component_type="chart",
component_name=chart_type,
action="present",
governance_check_passed=governance_check["allowed"] if governance_check else None,
metadata={
"title": title,
"data_points": len(data),
"chart_type": chart_type,
"session_id": session_id
}
)
# Mark execution as completed
if agent_execution:
execution = db.query(AgentExecution).filter(
AgentExecution.id == agent_execution.id
).first()
if execution:
execution.status = "completed"
execution.output_summary = f"Presented {chart_type} with {len(data)} data points"
execution.completed_at = datetime.now()
db.commit()
# Record outcome for confidence
from core.service_factory import ServiceFactory
governance_service = ServiceFactory.get_governance_service(db)
await governance_service.record_outcome(agent.id, success=True)
logger.info(f"Presented {chart_type} to user {user_id}" + (f" (agent: {agent.name})" if agent else ""))
return {
"success": True,
"chart_type": chart_type,
"canvas_id": canvas_id,
"agent_id": agent.id if agent else None
}
except Exception as e:
logger.error(f"Failed to present chart: {e}")
# Mark execution as failed
if agent_execution and FeatureFlags.should_enforce_governance('canvas'):
try:
with get_db_session() as db:
execution = db.query(AgentExecution).filter(
AgentExecution.id == agent_execution.id
).first()
if execution:
execution.status = "failed"
execution.error_message = str(e)
execution.completed_at = datetime.now()
db.commit()
if agent:
from core.service_factory import ServiceFactory
governance_service = ServiceFactory.get_governance_service(db)
await governance_service.record_outcome(agent.id, success=False)
except Exception as inner_e:
logger.error(f"Failed to record execution failure: {inner_e}")
return {"success": False, "error": str(e)}
async def present_status_panel(
user_id: str,
items: List[Dict[str, Any]],
title: str = None,
agent_id: Optional[str] = None,
session_id: Optional[str] = None
):
"""
Send a status panel to the frontend canvas with governance integration.
Args:
user_id: User ID to send the panel to
items: List of status items with 'label', 'value', and optional 'trend'
title: Panel title
agent_id: Agent ID presenting the panel (for governance)
session_id: Optional session ID for session isolation
"""
from core.database import get_db_session
agent = None
governance_check = None
try:
# Governance: Check agent permissions
if FeatureFlags.should_enforce_governance('canvas'):
with get_db_session() as db:
resolver = AgentContextResolver(db)
from core.service_factory import ServiceFactory
governance = ServiceFactory.get_governance_service(db)
agent, _ = await resolver.resolve_agent_for_request(
user_id=user_id,
requested_agent_id=agent_id,
action_type="present_chart"
)
if agent:
governance_check = governance.can_perform_action(
agent_id=agent.id,
action_type="present_chart"
)
if not governance_check["allowed"]:
logger.warning(f"Governance blocked status panel: {governance_check['reason']}")
return {
"success": False,
"error": f"Agent not permitted: {governance_check['reason']}"
}
# Present the panel
user_channel = f"user:{user_id}"
if session_id:
user_channel = f"user:{user_id}:session:{session_id}"
await ws_manager.broadcast(
user_channel,
{
"type": "canvas:update",
"data": {
"action": "present",
"component": "status_panel",
"session_id": session_id,
"data": {"items": items, "title": title}
}
}
)
logger.info(f"Presented status panel to user {user_id}" + (f" (agent: {agent.name})" if agent else ""))
return {"success": True}
except Exception as e:
logger.error(f"Failed to present status panel: {e}")
return {"success": False, "error": str(e)}
async def present_markdown(
user_id: str,
content: str,
title: str = None,
agent_id: Optional[str] = None,
session_id: Optional[str] = None
):
"""
Send markdown content to the frontend canvas with governance integration.
Args:
user_id: User ID to send the content to
content: Markdown formatted content
title: Content title
agent_id: Agent ID presenting the content (for governance)
session_id: Optional session ID for session isolation
"""
from core.database import get_db_session
agent = None
agent_execution = None
governance_check = None
try:
# Governance: Resolve agent and check permissions
if FeatureFlags.should_enforce_governance('canvas'):
with get_db_session() as db:
resolver = AgentContextResolver(db)
from core.service_factory import ServiceFactory
governance = ServiceFactory.get_governance_service(db)
agent, _ = await resolver.resolve_agent_for_request(
user_id=user_id,
requested_agent_id=agent_id,
action_type="present_markdown"
)
if agent:
governance_check = governance.can_perform_action(
agent_id=agent.id,
action_type="present_markdown"
)
if not governance_check["allowed"]:
logger.warning(f"Governance blocked markdown: {governance_check['reason']}")
return {
"success": False,
"error": f"Agent not permitted: {governance_check['reason']}"
}
# Create execution record
agent_execution = AgentExecution(
agent_id=agent.id,
workspace_id="default",
status="running",
input_summary=f"Present markdown: {title or 'Untitled'}",
triggered_by="canvas"
)
db.add(agent_execution)
db.commit()
db.refresh(agent_execution)
# Present the markdown
user_channel = f"user:{user_id}"
if session_id:
user_channel = f"user:{user_id}:session:{session_id}"
canvas_id = str(uuid.uuid4())
await ws_manager.broadcast(
user_channel,
{
"type": "canvas:update",
"data": {
"action": "present",
"component": "markdown",
"canvas_id": canvas_id,
"session_id": session_id,
"data": {"content": content, "title": title}
}
}
)
# Create audit entry
if FeatureFlags.should_enforce_governance('canvas'):
with get_db_session() as db:
await _create_canvas_audit(
db=db,
agent_id=agent.id if agent else None,
agent_execution_id=agent_execution.id if agent_execution else None,
user_id=user_id,
canvas_id=canvas_id,
session_id=session_id, # NEW: Session isolation
component_type="markdown",
component_name=None,
action="present",
governance_check_passed=governance_check["allowed"] if governance_check else None,
metadata={"title": title, "content_length": len(content), "session_id": session_id}
)
if agent_execution:
execution = db.query(AgentExecution).filter(
AgentExecution.id == agent_execution.id
).first()
if execution:
execution.status = "completed"
execution.output_summary = f"Presented markdown ({len(content)} chars)"
execution.completed_at = datetime.now()
db.commit()
from core.service_factory import ServiceFactory
governance_service = ServiceFactory.get_governance_service(db)
await governance_service.record_outcome(agent.id, success=True)
logger.info(f"Presented markdown content to user {user_id}" + (f" (agent: {agent.name})" if agent else ""))
return {
"success": True,
"canvas_id": canvas_id,
"agent_id": agent.id if agent else None
}
except Exception as e:
logger.error(f"Failed to present markdown: {e}")
return {"success": False, "error": str(e)}
async def present_form(
user_id: str,
form_schema: Dict[str, Any],
title: str = None,
agent_id: Optional[str] = None,
session_id: Optional[str] = None
):
"""
Present a form to the user with governance integration.
Args:
user_id: User ID to present the form to
form_schema: Form schema with fields, validation rules
title: Form title
agent_id: Agent ID presenting the form (for governance)
session_id: Optional session ID for session isolation
Returns:
Dict with success status and canvas_id for tracking submissions
"""
from core.database import get_db_session
agent = None
agent_execution = None
governance_check = None
try:
# Governance: Resolve agent and check permissions (INTERN+ required)
if FeatureFlags.should_enforce_governance('canvas'):
with get_db_session() as db:
resolver = AgentContextResolver(db)
from core.service_factory import ServiceFactory
governance = ServiceFactory.get_governance_service(db)
agent, _ = await resolver.resolve_agent_for_request(
user_id=user_id,
requested_agent_id=agent_id,
action_type="present_form"
)
if agent:
governance_check = governance.can_perform_action(
agent_id=agent.id,
action_type="present_form"
)
if not governance_check["allowed"]:
logger.warning(f"Governance blocked form presentation: {governance_check['reason']}")
return {
"success": False,
"error": f"Agent not permitted to present form: {governance_check['reason']}"
}
# Create execution record
agent_execution = AgentExecution(
agent_id=agent.id,
workspace_id="default",
status="running",
input_summary=f"Present form: {title or 'Untitled'}",
triggered_by="canvas"
)
db.add(agent_execution)
db.commit()
db.refresh(agent_execution)
# Present the form
user_channel = f"user:{user_id}"
if session_id:
user_channel = f"user:{user_id}:session:{session_id}"
canvas_id = str(uuid.uuid4())
await ws_manager.broadcast(
user_channel,
{
"type": "canvas:update",
"data": {
"action": "present",
"component": "form",
"canvas_id": canvas_id,
"session_id": session_id,
"data": {"schema": form_schema, "title": title}
}
}
)
# Create audit entry
if FeatureFlags.should_enforce_governance('canvas'):
with get_db_session() as db:
await _create_canvas_audit(
db=db,
agent_id=agent.id if agent else None,
agent_execution_id=agent_execution.id if agent_execution else None,
user_id=user_id,
canvas_id=canvas_id,
session_id=session_id, # NEW: Session isolation
component_type="form",
component_name=None,
action="present",
governance_check_passed=governance_check["allowed"] if governance_check else None,
metadata={"title": title, "field_count": len(form_schema.get("fields", [])), "session_id": session_id}
)
if agent_execution:
execution = db.query(AgentExecution).filter(
AgentExecution.id == agent_execution.id
).first()
if execution:
execution.status = "completed"
execution.output_summary = f"Presented form with {len(form_schema.get('fields', []))} fields"
execution.completed_at = datetime.now()
db.commit()
from core.service_factory import ServiceFactory
governance_service = ServiceFactory.get_governance_service(db)
await governance_service.record_outcome(agent.id, success=True)
logger.info(f"Presented form to user {user_id}" + (f" (agent: {agent.name})" if agent else ""))
return {
"success": True,
"canvas_id": canvas_id,
"agent_execution_id": agent_execution.id if agent_execution else None,
"agent_id": agent.id if agent else None
}
except Exception as e:
logger.error(f"Failed to present form: {e}")
return {"success": False, "error": str(e)}
async def update_canvas(
user_id: str,
canvas_id: str,
updates: Dict[str, Any],
agent_id: Optional[str] = None,
session_id: Optional[str] = None
):
"""
Update existing canvas with new data without re-presenting entire component.
Enables bidirectional canvas updates for dynamic dashboards and real-time data updates.
Similar to OpenClaw's surfaceUpdate and dataModelUpdate commands.
Args:
user_id: User ID to send the update to
canvas_id: Canvas ID to update (must exist from prior present_chart/form/markdown call)
updates: Dictionary containing update data (e.g., {"data": [...], "title": "Updated"})
agent_id: Agent ID performing the update (for governance)
session_id: Optional session ID for session isolation
Returns:
Dict with success status and update details
Example:
# Update chart data
await update_canvas(
user_id="user-1",
canvas_id="canvas-123",
updates={"data": [{"x": 1, "y": 5}, {"x": 2, "y": 10}]},
agent_id="agent-1"
)
# Update title
await update_canvas(
user_id="user-1",
canvas_id="canvas-123",
updates={"title": "Updated Sales Data"}
)
"""
from core.database import get_db_session
agent = None
agent_execution = None
governance_check = None
try:
# Governance: Resolve agent and check permissions
if FeatureFlags.should_enforce_governance('canvas'):
with get_db_session() as db:
resolver = AgentContextResolver(db)
from core.service_factory import ServiceFactory
governance = ServiceFactory.get_governance_service(db)
# Resolve agent
agent, resolution_context = await resolver.resolve_agent_for_request(
user_id=user_id,
requested_agent_id=agent_id,
action_type="update_canvas"
)
# Check governance (INTERN+ required for updates)
if agent:
governance_check = governance.can_perform_action(
agent_id=agent.id,
action_type="update_canvas"
)
if not governance_check["allowed"]:
logger.warning(f"Governance blocked canvas update: {governance_check['reason']}")
return {
"success": False,
"error": f"Agent not permitted to update canvas: {governance_check['reason']}"
}
# Create agent execution record
agent_execution = AgentExecution(
agent_id=agent.id,
workspace_id="default",
status="running",
input_summary=f"Update canvas {canvas_id}",
triggered_by="canvas"
)
db.add(agent_execution)
db.commit()
db.refresh(agent_execution)
logger.info(f"Agent execution {agent_execution.id} for canvas update")
# Send update via WebSocket
user_channel = f"user:{user_id}"
if session_id:
user_channel = f"user:{user_id}:session:{session_id}"
await ws_manager.broadcast(
user_channel,
{
"type": "canvas:update",
"data": {
"action": "update",
"canvas_id": canvas_id,
"updates": updates
}
}
)
# Create audit entry
if FeatureFlags.should_enforce_governance('canvas'):
with get_db_session() as db:
await _create_canvas_audit(
db=db,
agent_id=agent.id if agent else None,
agent_execution_id=agent_execution.id if agent_execution else None,
user_id=user_id,
canvas_id=canvas_id,
session_id=session_id, # NEW: Session isolation
component_type="canvas_update",
component_name=None,
action="update",
governance_check_passed=governance_check["allowed"] if governance_check else None,
metadata={
"update_keys": list(updates.keys()),
"session_id": session_id
}
)
# Mark execution as completed
if agent_execution:
execution = db.query(AgentExecution).filter(
AgentExecution.id == agent_execution.id
).first()
if execution:
execution.status = "completed"
execution.output_summary = f"Updated canvas {canvas_id} with {len(updates)} fields"
execution.completed_at = datetime.now()
db.commit()
# Record outcome for confidence
from core.service_factory import ServiceFactory
governance_service = ServiceFactory.get_governance_service(db)
await governance_service.record_outcome(agent.id, success=True)
logger.info(f"Updated canvas {canvas_id} for user {user_id}" + (f" (agent: {agent.name})" if agent else ""))
return {
"success": True,
"canvas_id": canvas_id,
"updated_fields": list(updates.keys()),
"agent_id": agent.id if agent else None,
"session_id": session_id
}
except Exception as e:
logger.error(f"Failed to update canvas: {e}")
# Mark execution as failed
if agent_execution and FeatureFlags.should_enforce_governance('canvas'):
try:
with get_db_session() as db:
execution = db.query(AgentExecution).filter(
AgentExecution.id == agent_execution.id
).first()
if execution:
execution.status = "failed"
execution.error_message = str(e)
execution.completed_at = datetime.now()
db.commit()
if agent:
from core.service_factory import ServiceFactory
governance_service = ServiceFactory.get_governance_service(db)
await governance_service.record_outcome(agent.id, success=False)
except Exception as inner_e:
logger.error(f"Failed to record execution failure: {inner_e}")
return {"success": False, "error": str(e)}
async def present_to_canvas(
db: Session,
user_id: str,
canvas_type: str,
content: Dict[str, Any],
title: str = None,
agent_id: Optional[str] = None,
agent_execution_id: Optional[str] = None,
session_id: Optional[str] = None
):
"""
Generic wrapper for presenting content to canvas.
Routes to the appropriate specialized canvas presentation function based on canvas_type.
This provides a unified interface for the proposal service and other components.
Args:
db: Database session (for audit purposes, may not be used by all canvas types)
user_id: User ID to present content to
canvas_type: Type of canvas (chart, form, markdown, status_panel, docs, email, sheets, etc.)
content: Content dict (structure varies by canvas_type)
title: Content title
agent_id: Optional agent ID for governance
agent_execution_id: Optional agent execution ID for tracking
session_id: Optional session ID for session isolation
Returns:
Dict with success status and canvas_id
Canvas Types and Content Structure:
- chart: {"chart_type": "line_chart", "data": [...]}
- form: {"fields": [...], "validation": {...}}
- markdown: {"content": "markdown text"}
- status_panel: {"items": [...]}
- docs, email, sheets, orchestration, terminal, coding: Specialized canvas data
"""
try:
# Route to appropriate specialized function
if canvas_type == "chart":
# Extract chart-specific parameters
chart_type = content.get("chart_type", "line_chart")
data = content.get("data", [])
return await present_chart(
user_id=user_id,
chart_type=chart_type,
data=data,
title=title,
agent_id=agent_id,
session_id=session_id
)
elif canvas_type == "form":
# Extract form-specific parameters
form_schema = content
return await present_form(
user_id=user_id,
form_schema=form_schema,
title=title,
agent_id=agent_id,
session_id=session_id
)
elif canvas_type == "markdown":
# Extract markdown-specific parameters
markdown_content = content.get("content", "")
return await present_markdown(
user_id=user_id,
content=markdown_content,
title=title,
agent_id=agent_id,
session_id=session_id
)
elif canvas_type == "status_panel":
# Extract status panel-specific parameters
items = content.get("items", [])
return await present_status_panel(
user_id=user_id,
items=items,
title=title,
agent_id=agent_id,
session_id=session_id
)
elif canvas_type in ["docs", "email", "sheets", "orchestration", "terminal", "coding"]:
# Use specialized canvas for domain-specific types
component_type = content.get("component_type", "generic")
data = content
return await present_specialized_canvas(
user_id=user_id,
canvas_type=canvas_type,
component_type=component_type,
data=data,
title=title,
agent_id=agent_id,
session_id=session_id
)
else:
logger.warning(f"Unknown canvas type: {canvas_type}")
return {
"success": False,
"error": f"Unknown canvas type: {canvas_type}. Supported types: chart, form, markdown, status_panel, docs, email, sheets, orchestration, terminal, coding"
}
except Exception as e:
logger.error(f"Failed to present to canvas: {e}")
return {"success": False, "error": str(e)}
async def close_canvas(user_id: str, session_id: Optional[str] = None):
"""
Close the canvas for a user.
Args:
user_id: User ID to close the canvas for
session_id: Optional session ID for session isolation
"""
try:
user_channel = f"user:{user_id}"
if session_id:
user_channel = f"user:{user_id}:session:{session_id}"
await ws_manager.broadcast(
user_channel,
{
"type": "canvas:update",
"data": {
"action": "close"
}
}
)
logger.info(f"Closed canvas for user {user_id}" + (f" (session: {session_id})" if session_id else ""))
return {"success": True}
except Exception as e:
logger.error(f"Failed to close canvas: {e}")
return {"success": False, "error": str(e)}
async def canvas_execute_javascript(
user_id: str,
canvas_id: str,
javascript: str,
agent_id: str, # Required - must be AUTONOMOUS
session_id: Optional[str] = None,
timeout_ms: int = 5000
):
"""
Execute JavaScript in a canvas context (AUTONOMOUS agents only).
WARNING: This function requires AUTONOMOUS maturity level due to security risks.
JavaScript execution can manipulate the DOM, access browser APIs, and perform
arbitrary client-side actions.
Args:
user_id: User ID to execute JavaScript for
canvas_id: Canvas ID to execute JavaScript in
javascript: JavaScript code to execute
agent_id: Agent ID performing the execution (must be AUTONOMOUS)
session_id: Optional session ID for session isolation
timeout_ms: Execution timeout in milliseconds (default: 5000)
Returns:
Dict with success status and execution details
Example:
# Update document title
await canvas_execute_javascript(
user_id="user-1",
canvas_id="canvas-123",
javascript="document.title = 'Updated Title';",
agent_id="agent-autonomous-1"
)
# Manipulate DOM
await canvas_execute_javascript(
user_id="user-1",
canvas_id="canvas-123",
javascript="document.getElementById('chart').style.height = '500px';",
agent_id="agent-autonomous-1"
)
"""
from core.database import get_db_session
agent = None
agent_execution = None
governance_check = None
try:
# Security: Require agent_id (no anonymous execution)
if not agent_id:
logger.warning("JavaScript execution blocked: No agent_id provided")
return {
"success": False,
"error": "JavaScript execution requires an explicit agent_id (AUTONOMOUS only)"
}
# Governance: Resolve agent and check permissions
if FeatureFlags.should_enforce_governance('canvas'):
with get_db_session() as db:
resolver = AgentContextResolver(db)
from core.service_factory import ServiceFactory
governance = ServiceFactory.get_governance_service(db)
# Resolve agent
agent, resolution_context = await resolver.resolve_agent_for_request(
user_id=user_id,
requested_agent_id=agent_id,
action_type="canvas_execute_javascript"
)
# Check governance (AUTONOMOUS required)
if agent:
governance_check = governance.can_perform_action(
agent_id=agent.id,
action_type="canvas_execute_javascript"
)
if not governance_check["allowed"]:
logger.warning(f"Governance blocked JavaScript execution: {governance_check['reason']}")
return {
"success": False,
"error": f"Agent not permitted to execute JavaScript: {governance_check['reason']}"
}
# Verify agent is AUTONOMOUS (double-check for security)
from core.models import AgentStatus
if agent.status != AgentStatus.AUTONOMOUS.value:
logger.warning(f"JavaScript execution blocked: Agent {agent.name} is {agent.status}, not AUTONOMOUS")
return {
"success": False,
"error": f"JavaScript execution requires AUTONOMOUS maturity level. Agent {agent.name} is {agent.status}"
}
# Create agent execution record
agent_execution = AgentExecution(
agent_id=agent.id,
workspace_id="default",
status="running",
input_summary=f"Execute JavaScript in canvas {canvas_id}: {javascript[:100]}...",
triggered_by="canvas"
)
db.add(agent_execution)
db.commit()
db.refresh(agent_execution)
logger.info(f"Agent execution {agent_execution.id} for canvas JavaScript execution")
# Basic JavaScript validation (security)
if not javascript or not javascript.strip():
return {
"success": False,
"error": "JavaScript code cannot be empty"
}
# Check for obviously dangerous patterns (basic security)
dangerous_patterns = [
"eval(", "Function(", "setTimeout(", "setInterval(",
"document.cookie", "localStorage.", "sessionStorage.",
"window.location", "window.top", "window.parent"
]
javascript_lower = javascript.lower()
for pattern in dangerous_patterns:
if pattern in javascript:
logger.warning(f"JavaScript execution blocked: Dangerous pattern '{pattern}' detected")
return {
"success": False,
"error": f"JavaScript contains potentially dangerous pattern: {pattern}. Use of {pattern} is not allowed."
}
# Send JavaScript execution request via WebSocket
user_channel = f"user:{user_id}"
if session_id:
user_channel = f"user:{user_id}:session:{session_id}"
await ws_manager.broadcast(
user_channel,
{
"type": "canvas:execute",
"data": {
"action": "execute_javascript",
"canvas_id": canvas_id,
"javascript": javascript,
"timeout_ms": timeout_ms
}
}
)
# Create audit entry with JavaScript content
if FeatureFlags.should_enforce_governance('canvas'):
with get_db_session() as db:
await _create_canvas_audit(
db=db,
agent_id=agent.id if agent else None,
agent_execution_id=agent_execution.id if agent_execution else None,
user_id=user_id,
canvas_id=canvas_id,
session_id=session_id,
component_type="javascript_execution",
component_name=None,
action="execute",
governance_check_passed=governance_check["allowed"] if governance_check else None,
metadata={
"javascript": javascript,
"javascript_length": len(javascript),
"timeout_ms": timeout_ms,
"session_id": session_id
}
)
# Mark execution as completed
if agent_execution:
execution = db.query(AgentExecution).filter(
AgentExecution.id == agent_execution.id
).first()
if execution:
execution.status = "completed"
execution.output_summary = f"Executed JavaScript in canvas {canvas_id} ({len(javascript)} chars)"
execution.completed_at = datetime.now()
db.commit()
# Record outcome for confidence
from core.service_factory import ServiceFactory
governance_service = ServiceFactory.get_governance_service(db)
await governance_service.record_outcome(agent.id, success=True)
logger.info(
f"Executed JavaScript in canvas {canvas_id} for user {user_id} "
f"({len(javascript)} chars)" + (f" (agent: {agent.name})" if agent else "")
)
return {
"success": True,
"canvas_id": canvas_id,
"javascript_length": len(javascript),
"agent_id": agent.id if agent else None,
"session_id": session_id
}
except Exception as e:
logger.error(f"Failed to execute JavaScript: {e}")
# Mark execution as failed
if agent_execution and FeatureFlags.should_enforce_governance('canvas'):
try:
with get_db_session() as db:
execution = db.query(AgentExecution).filter(
AgentExecution.id == agent_execution.id
).first()
if execution:
execution.status = "failed"
execution.error_message = str(e)
execution.completed_at = datetime.now()
db.commit()
if agent:
from core.service_factory import ServiceFactory
governance_service = ServiceFactory.get_governance_service(db)
await governance_service.record_outcome(agent.id, success=False)
except Exception as inner_e:
logger.error(f"Failed to record execution failure: {inner_e}")
return {"success": False, "error": str(e)}
async def present_specialized_canvas(
user_id: str,
canvas_type: str,
component_type: str,
data: Dict[str, Any],
title: str = None,
agent_id: Optional[str] = None,
session_id: Optional[str] = None,
layout: str = None
):
"""
Present a specialized canvas with type-specific components.
Generic function for presenting specialized canvas types:
- docs: Documentation with rich editor, version history, comments
- email: Email with threads, compose, attachments
- sheets: Spreadsheet with grid, formulas, charts
- orchestration: Multi-app workflows with kanban, gantt, diagrams
- terminal: Command output, file trees, process monitoring
- coding: Code editor, diff views, PR reviews
Args:
user_id: User ID to present canvas to
canvas_type: Type of canvas (docs, email, sheets, orchestration, terminal, coding)
component_type: Component type (rich_editor, thread_view, data_grid, etc.)
data: Component-specific data
title: Canvas title
agent_id: Optional agent ID for governance
session_id: Optional session ID for isolation
layout: Optional layout (document, inbox, sheet, board, etc.)
Returns:
Dict with success status, canvas_id, and details
Example:
# Present documentation canvas
await present_specialized_canvas(
user_id="user-1",
canvas_type="docs",
component_type="rich_editor",
data={"content": "# API Reference\\n\\nEndpoints..."},
title="API Documentation",
agent_id="agent-1"
)
# Present spreadsheet canvas
await present_specialized_canvas(
user_id="user-1",
canvas_type="sheets",
component_type="data_grid",
data={"cells": {"A1": "Revenue", "B1": 100000}},
title="Financial Model",
layout="sheet"
)
"""
from core.database import get_db_session
agent = None
agent_execution = None
governance_check = None
try:
# Validate canvas type
if not canvas_type_registry.validate_canvas_type(canvas_type):
logger.warning(f"Invalid canvas type: {canvas_type}")
return {
"success": False,
"error": f"Invalid canvas type: {canvas_type}. Must be one of: {list(canvas_type_registry.get_all_types().keys())}"
}
# Validate component for canvas type
if not canvas_type_registry.validate_component(canvas_type, component_type):
logger.warning(f"Component {component_type} not supported for canvas type {canvas_type}")
return {
"success": False,
"error": f"Component {component_type} not supported for {canvas_type} canvas"
}
# Validate layout if provided
if layout and not canvas_type_registry.validate_layout(canvas_type, layout):
logger.warning(f"Layout {layout} not supported for canvas type {canvas_type}")
return {
"success": False,
"error": f"Layout {layout} not supported for {canvas_type} canvas"
}
# Governance: Resolve agent and check permissions
if FeatureFlags.should_enforce_governance('canvas'):
with get_db_session() as db:
resolver = AgentContextResolver(db)
from core.service_factory import ServiceFactory
governance = ServiceFactory.get_governance_service(db)
# Resolve agent
agent, resolution_context = await resolver.resolve_agent_for_request(
user_id=user_id,
requested_agent_id=agent_id,
action_type=f"present_{canvas_type}"
)
# Check governance for this canvas type
if agent:
governance_check = governance.can_perform_action(
agent_id=agent.id,
action_type=f"present_{canvas_type}"
)
if not governance_check["allowed"]:
logger.warning(f"Governance blocked {canvas_type} canvas: {governance_check['reason']}")
return {
"success": False,
"error": f"Agent not permitted to present {canvas_type} canvas: {governance_check['reason']}"
}
# Check maturity requirements
min_maturity = canvas_type_registry.get_min_maturity(canvas_type)
# Map agent.status to maturity level (string comparison)
# Agent status values: "student", "intern", "supervised", "autonomous"
maturity_order = {
"student": 0,
"intern": 1,
"supervised": 2,
"autonomous": 3
}
agent_maturity = maturity_order.get(agent.status, 0)
required_maturity = maturity_order.get(min_maturity.value, 3)
if agent_maturity < required_maturity:
logger.warning(
f"Agent maturity {agent.status} below required {min_maturity.value} for {canvas_type}"
)
return {
"success": False,
"error": f"Agent maturity {agent.status} insufficient for {canvas_type} canvas (requires {min_maturity.value})"
}
# Create agent execution record
agent_execution = AgentExecution(
agent_id=agent.id,
workspace_id="default",
status="running",
input_summary=f"Present {canvas_type} canvas: {title or component_type}",
triggered_by="canvas"
)
db.add(agent_execution)
db.commit()
db.refresh(agent_execution)
logger.info(f"Agent execution {agent_execution.id} for {canvas_type} canvas")
# Present the specialized canvas via WebSocket
user_channel = f"user:{user_id}"
if session_id:
user_channel = f"user:{user_id}:session:{session_id}"
canvas_id = str(uuid.uuid4())
await ws_manager.broadcast(
user_channel,
{
"type": "canvas:update",
"data": {
"action": "present",
"canvas_type": canvas_type,
"component": component_type,
"canvas_id": canvas_id,
"session_id": session_id,
"title": title,
"layout": layout,
"data": data
}
}
)
# Create audit entry
if FeatureFlags.should_enforce_governance('canvas'):
with get_db_session() as db:
await _create_canvas_audit(
db=db,
agent_id=agent.id if agent else None,
agent_execution_id=agent_execution.id if agent_execution else None,
user_id=user_id,
canvas_id=canvas_id,
session_id=session_id,
canvas_type=canvas_type,
component_type=component_type,
component_name=None,
action="present",
governance_check_passed=governance_check["allowed"] if governance_check else None,
metadata={
"title": title,
"layout": layout,
**data
}
)
# Mark execution as completed
if agent_execution:
execution = db.query(AgentExecution).filter(
AgentExecution.id == agent_execution.id
).first()
if execution:
execution.status = "completed"
execution.output_summary = f"Presented {canvas_type} canvas: {title or component_type}"
execution.completed_at = datetime.now()
db.commit()
# Record outcome for confidence
from core.service_factory import ServiceFactory
governance_service = ServiceFactory.get_governance_service(db)
await governance_service.record_outcome(agent.id, success=True)
logger.info(
f"Presented {canvas_type} canvas ({component_type}) to user {user_id}"
+ (f" (agent: {agent.name})" if agent else "")
)
return {
"success": True,
"canvas_type": canvas_type,
"component_type": component_type,
"canvas_id": canvas_id,
"agent_id": agent.id if agent else None,
"title": title,
"layout": layout
}
except Exception as e:
logger.error(f"Failed to present specialized canvas: {e}")
# Mark execution as failed
if agent_execution and FeatureFlags.should_enforce_governance('canvas'):
try:
with get_db_session() as db:
execution = db.query(AgentExecution).filter(
AgentExecution.id == agent_execution.id
).first()
if execution:
execution.status = "failed"
execution.error_message = str(e)
execution.completed_at = datetime.now()
db.commit()
if agent:
from core.service_factory import ServiceFactory
governance_service = ServiceFactory.get_governance_service(db)
await governance_service.record_outcome(agent.id, success=False)
except Exception as inner_e:
logger.error(f"Failed to record execution failure: {inner_e}")
return {"success": False, "error": str(e)}
|