Files
NeuroSploit/legacy/backend_fastapi/api/v1/agent_tasks.py
T
CyberSecurityUP a5badefc29 v3.3.0 GUI dashboard + reports + model expansion + root fix
Engine:
- Fix: inject IS_SANDBOX=1 so Claude Code's --dangerously-skip-permissions
  works under root (real backend runs were exiting rc=1 immediately)
- models: expand to 40 models / 13 providers, tagged CLI vs API
  (NVIDIA NIM, DeepSeek, Mistral, Qwen/DashScope, Groq, Together, OpenRouter,
  Ollama, Gemini) — Qwen/DeepSeek/Llama usable via API
- backends: on_start callback surfaces the exact argv ("what runs behind it")
- orchestrator: require a Playwright screenshot per confirmed finding; collect
  results/activity.json; auto-generate reports after a run
- report.py: HTML always + PDF via Typst engine (.typ source emitted too)

Web dashboard (webgui/, stdlib only — no npm/build):
- Sidebar dashboard (PentAGI-style): Run / Agents / Insights / Reports / Settings
- Multi-target runs; live execution console + per-task activity; finding cards
  with screenshots; backend+provider+model pickers (CLI & API)
- Agents tab: browse 213 + add new .md agents from the UI
- Insights: interactive RL-weight + severity charts
- Reports: download/preview PDF + HTML
- Settings/API: execution mode, per-provider API keys, orchestrator, verbosity
- Endpoints: /api/agents (GET/POST), /api/rl, /api/config, /api/reports,
  /reports/* + /shots/* static serving

Cleanup: retire replaced web stack (frontend React, FastAPI backend, core
orchestration, old test) to legacy/. Active engine + GUI are fully standalone.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-14 23:26:11 -03:00

177 lines
5.7 KiB
Python
Executable File

"""
NeuroSploit v3 - Agent Tasks API Endpoints
"""
from typing import Optional
from fastapi import APIRouter, Depends, HTTPException
from sqlalchemy.ext.asyncio import AsyncSession
from sqlalchemy import select, func
from backend.db.database import get_db
from backend.models import AgentTask, Scan
from backend.schemas.agent_task import (
AgentTaskResponse,
AgentTaskListResponse,
AgentTaskSummary
)
router = APIRouter()
@router.get("", response_model=AgentTaskListResponse)
async def list_agent_tasks(
scan_id: str,
status: Optional[str] = None,
task_type: Optional[str] = None,
page: int = 1,
per_page: int = 50,
db: AsyncSession = Depends(get_db)
):
"""List all agent tasks for a scan"""
# Verify scan exists
scan_result = await db.execute(select(Scan).where(Scan.id == scan_id))
scan = scan_result.scalar_one_or_none()
if not scan:
raise HTTPException(status_code=404, detail="Scan not found")
# Build query
query = select(AgentTask).where(AgentTask.scan_id == scan_id)
if status:
query = query.where(AgentTask.status == status)
if task_type:
query = query.where(AgentTask.task_type == task_type)
query = query.order_by(AgentTask.created_at.desc())
# Get total count
count_query = select(func.count()).select_from(AgentTask).where(AgentTask.scan_id == scan_id)
if status:
count_query = count_query.where(AgentTask.status == status)
if task_type:
count_query = count_query.where(AgentTask.task_type == task_type)
total_result = await db.execute(count_query)
total = total_result.scalar() or 0
# Apply pagination
query = query.offset((page - 1) * per_page).limit(per_page)
result = await db.execute(query)
tasks = result.scalars().all()
return AgentTaskListResponse(
tasks=[AgentTaskResponse(**t.to_dict()) for t in tasks],
total=total,
scan_id=scan_id
)
@router.get("/summary", response_model=AgentTaskSummary)
async def get_agent_tasks_summary(
scan_id: str,
db: AsyncSession = Depends(get_db)
):
"""Get summary statistics for agent tasks in a scan"""
# Verify scan exists
scan_result = await db.execute(select(Scan).where(Scan.id == scan_id))
scan = scan_result.scalar_one_or_none()
if not scan:
raise HTTPException(status_code=404, detail="Scan not found")
# Total count
total_result = await db.execute(
select(func.count()).select_from(AgentTask).where(AgentTask.scan_id == scan_id)
)
total = total_result.scalar() or 0
# Count by status
status_counts = {}
for status in ["pending", "running", "completed", "failed"]:
count_result = await db.execute(
select(func.count()).select_from(AgentTask)
.where(AgentTask.scan_id == scan_id)
.where(AgentTask.status == status)
)
status_counts[status] = count_result.scalar() or 0
# Count by task type
type_query = select(
AgentTask.task_type,
func.count(AgentTask.id).label("count")
).where(AgentTask.scan_id == scan_id).group_by(AgentTask.task_type)
type_result = await db.execute(type_query)
by_type = {row[0]: row[1] for row in type_result.all()}
# Count by tool
tool_query = select(
AgentTask.tool_name,
func.count(AgentTask.id).label("count")
).where(AgentTask.scan_id == scan_id).where(AgentTask.tool_name.isnot(None)).group_by(AgentTask.tool_name)
tool_result = await db.execute(tool_query)
by_tool = {row[0]: row[1] for row in tool_result.all()}
return AgentTaskSummary(
total=total,
pending=status_counts.get("pending", 0),
running=status_counts.get("running", 0),
completed=status_counts.get("completed", 0),
failed=status_counts.get("failed", 0),
by_type=by_type,
by_tool=by_tool
)
@router.get("/{task_id}", response_model=AgentTaskResponse)
async def get_agent_task(
task_id: str,
db: AsyncSession = Depends(get_db)
):
"""Get a specific agent task by ID"""
result = await db.execute(select(AgentTask).where(AgentTask.id == task_id))
task = result.scalar_one_or_none()
if not task:
raise HTTPException(status_code=404, detail="Agent task not found")
return AgentTaskResponse(**task.to_dict())
@router.get("/scan/{scan_id}/timeline")
async def get_agent_tasks_timeline(
scan_id: str,
db: AsyncSession = Depends(get_db)
):
"""Get agent tasks as a timeline for visualization"""
# Verify scan exists
scan_result = await db.execute(select(Scan).where(Scan.id == scan_id))
scan = scan_result.scalar_one_or_none()
if not scan:
raise HTTPException(status_code=404, detail="Scan not found")
# Get all tasks ordered by creation time
query = select(AgentTask).where(AgentTask.scan_id == scan_id).order_by(AgentTask.created_at.asc())
result = await db.execute(query)
tasks = result.scalars().all()
timeline = []
for task in tasks:
timeline_item = {
"id": task.id,
"task_name": task.task_name,
"task_type": task.task_type,
"tool_name": task.tool_name,
"status": task.status,
"started_at": task.started_at.isoformat() if task.started_at else None,
"completed_at": task.completed_at.isoformat() if task.completed_at else None,
"duration_ms": task.duration_ms,
"items_processed": task.items_processed,
"items_found": task.items_found,
"result_summary": task.result_summary,
"error_message": task.error_message
}
timeline.append(timeline_item)
return {
"scan_id": scan_id,
"timeline": timeline,
"total": len(timeline)
}