feat(azure-ai+gpu-ui): per-tenant Azure AI config + GPU health panel

- Per-tenant Azure AI config stored in tenants.tenant_config JSONB
- GET/PUT /api/tenants/{id}/ai-config + POST .../test connection
- api_key never returned to frontend (has_api_key: bool pattern)
- azure_ai.py resolves creds from tenant config when ai_enabled=True
- ai_tasks.py loads tenant config and passes it to validate_thumbnail
- Admin GPU Status section: probe button + status badge + last-checked time
- Notifications: _BELL_CHANNELS filter (notification+alert only in bell)
- Tenants.tsx: per-row Azure AI Config modal with URL auto-parse helper
- Remove duplicate in-memory /gpu-probe endpoints (kept DB-backed /probe/gpu)

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
2026-03-08 21:04:09 +01:00
parent 34f89cc225
commit 22c29d5655
11 changed files with 792 additions and 24 deletions
+21 -6
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@@ -51,30 +51,42 @@ def _visibility_filter(user: User):
return and_(AuditLog.notification == True, targeted) # noqa: E712
# Default channels shown in bell dropdown
_BELL_CHANNELS = ("notification", "alert")
@router.get("", response_model=NotificationListResponse)
async def list_notifications(
limit: int = Query(20, ge=1, le=100),
offset: int = Query(0, ge=0),
unread_only: bool = Query(False),
channel: Optional[str] = Query(None, description="Filter by channel: notification, activity, alert. Defaults to notification+alert."),
user: User = Depends(get_current_user),
db: AsyncSession = Depends(get_db),
):
vis = _visibility_filter(user)
# Channel filter
if channel:
channel_filter = AuditLog.channel == channel
else:
channel_filter = AuditLog.channel.in_(_BELL_CHANNELS)
# Total count
total_q = select(func.count(AuditLog.id)).where(vis)
total_q = select(func.count(AuditLog.id)).where(vis, channel_filter)
if unread_only:
total_q = total_q.where(AuditLog.read_at.is_(None))
total = (await db.execute(total_q)).scalar() or 0
# Unread count (always)
unread_q = select(func.count(AuditLog.id)).where(vis, AuditLog.read_at.is_(None))
# Unread count (always — only for bell channels, not activity)
bell_channel_filter = AuditLog.channel.in_(_BELL_CHANNELS)
unread_q = select(func.count(AuditLog.id)).where(vis, bell_channel_filter, AuditLog.read_at.is_(None))
unread_count = (await db.execute(unread_q)).scalar() or 0
# Items
items_q = (
select(AuditLog)
.where(vis)
.where(vis, channel_filter)
.order_by(AuditLog.timestamp.desc())
.offset(offset)
.limit(limit)
@@ -105,7 +117,8 @@ async def unread_count(
db: AsyncSession = Depends(get_db),
):
vis = _visibility_filter(user)
q = select(func.count(AuditLog.id)).where(vis, AuditLog.read_at.is_(None))
bell_channel_filter = AuditLog.channel.in_(_BELL_CHANNELS)
q = select(func.count(AuditLog.id)).where(vis, bell_channel_filter, AuditLog.read_at.is_(None))
count = (await db.execute(q)).scalar() or 0
return UnreadCountResponse(unread_count=count)
@@ -182,7 +195,9 @@ async def update_my_notification_config(
):
if channel not in ("in_app", "email"):
raise HTTPException(status_code=400, detail="channel must be 'in_app' or 'email'")
return await upsert_notification_config(db, current_user.id, event_type, channel, body.enabled)
if body.frequency is not None and body.frequency not in ("immediate", "daily", "never"):
raise HTTPException(status_code=400, detail="frequency must be 'immediate', 'daily', or 'never'")
return await upsert_notification_config(db, current_user.id, event_type, channel, body.enabled, body.frequency)
@router.post("/config/reset", response_model=list[NotificationConfigOut])
+1
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@@ -683,3 +683,4 @@ async def update_worker_config(
enabled=cfg.enabled,
updated_at=cfg.updated_at.isoformat(),
)
+9
View File
@@ -12,6 +12,15 @@ _DEFAULT_TENANT_CONFIG = {
"fallback_material": "SCHAEFFLER_059999_FailedMaterial",
"notifications_enabled": True,
"invoice_prefix": "INV",
# Azure AI validation (per-tenant)
"ai_enabled": False,
"ai_api_key": None, # stored but never returned to frontend
"ai_endpoint": None, # e.g. https://myinstance.openai.azure.com
"ai_deployment": "gpt-4o",
"ai_api_version": "2024-02-01",
"ai_max_tokens": 500,
"ai_temperature": 0.1,
"ai_validation_prompt": None, # None = use DEFAULT_VALIDATION_PROMPT from azure_ai.py
}
+124 -1
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@@ -1,11 +1,16 @@
import uuid
from fastapi import APIRouter, Depends, HTTPException, status
from sqlalchemy.ext.asyncio import AsyncSession
from sqlalchemy import update
from app.database import get_db
from app.utils.auth import require_admin
from app.domains.tenants.schemas import TenantCreate, TenantUpdate, TenantOut
from app.domains.tenants.schemas import (
TenantCreate, TenantUpdate, TenantOut,
TenantAIConfigUpdate, TenantAIConfigOut,
)
from app.domains.tenants import service
from app.domains.tenants.models import Tenant
router = APIRouter(prefix="/tenants", tags=["tenants"])
@@ -77,3 +82,121 @@ async def delete_tenant(
status_code=status.HTTP_409_CONFLICT,
detail="Tenant not found or still has users assigned",
)
# ---------------------------------------------------------------------------
# Per-tenant Azure AI configuration
# ---------------------------------------------------------------------------
def _tenant_ai_config_out(tenant: Tenant) -> TenantAIConfigOut:
"""Build TenantAIConfigOut from a Tenant ORM object (never exposes api_key)."""
cfg = tenant.tenant_config or {}
return TenantAIConfigOut(
ai_enabled=cfg.get("ai_enabled", False),
ai_endpoint=cfg.get("ai_endpoint"),
ai_deployment=cfg.get("ai_deployment", "gpt-4o"),
ai_api_version=cfg.get("ai_api_version", "2024-02-01"),
has_api_key=bool(cfg.get("ai_api_key")),
ai_max_tokens=cfg.get("ai_max_tokens", 500),
ai_temperature=cfg.get("ai_temperature", 0.1),
ai_validation_prompt=cfg.get("ai_validation_prompt"),
)
@router.get("/{tenant_id}/ai-config", response_model=TenantAIConfigOut)
async def get_tenant_ai_config(
tenant_id: uuid.UUID,
db: AsyncSession = Depends(get_db),
_: object = Depends(require_admin),
):
"""Return AI config for a tenant (without the raw api_key)."""
tenant = await service.get_tenant(db, tenant_id)
if not tenant:
raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Tenant not found")
return _tenant_ai_config_out(tenant)
@router.put("/{tenant_id}/ai-config", response_model=TenantAIConfigOut)
async def update_tenant_ai_config(
tenant_id: uuid.UUID,
body: TenantAIConfigUpdate,
db: AsyncSession = Depends(get_db),
_: object = Depends(require_admin),
):
"""Merge AI configuration into tenant_config JSONB.
If ai_api_key is None in the request body, the existing key is preserved.
"""
tenant = await service.get_tenant(db, tenant_id)
if not tenant:
raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Tenant not found")
# Build the merged config dict
current_cfg: dict = dict(tenant.tenant_config or {})
current_cfg["ai_enabled"] = body.ai_enabled
current_cfg["ai_endpoint"] = body.ai_endpoint
current_cfg["ai_deployment"] = body.ai_deployment
current_cfg["ai_api_version"] = body.ai_api_version
current_cfg["ai_max_tokens"] = body.ai_max_tokens
current_cfg["ai_temperature"] = body.ai_temperature
current_cfg["ai_validation_prompt"] = body.ai_validation_prompt
# Only overwrite the stored key if a new value was actually provided
if body.ai_api_key is not None:
current_cfg["ai_api_key"] = body.ai_api_key
# Use direct SQL UPDATE to reliably persist JSONB mutations
await db.execute(
update(Tenant)
.where(Tenant.id == tenant_id)
.values(tenant_config=current_cfg)
)
await db.commit()
await db.refresh(tenant)
return _tenant_ai_config_out(tenant)
@router.post("/{tenant_id}/ai-config/test")
async def test_tenant_ai_config(
tenant_id: uuid.UUID,
db: AsyncSession = Depends(get_db),
_: object = Depends(require_admin),
):
"""Send a minimal ping to Azure OpenAI using the tenant's stored credentials.
Returns {"ok": true} or {"ok": false, "error": "human readable message"}.
"""
tenant = await service.get_tenant(db, tenant_id)
if not tenant:
raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Tenant not found")
cfg = tenant.tenant_config or {}
api_key = cfg.get("ai_api_key")
endpoint = cfg.get("ai_endpoint")
deployment = cfg.get("ai_deployment", "gpt-4o")
api_version = cfg.get("ai_api_version", "2024-02-01")
if not api_key:
return {"ok": False, "error": "No API key configured for this tenant"}
if not endpoint:
return {"ok": False, "error": "No endpoint configured for this tenant"}
import asyncio
def _ping() -> dict:
try:
from openai import AzureOpenAI
client = AzureOpenAI(
api_key=api_key,
azure_endpoint=endpoint,
api_version=api_version,
)
client.chat.completions.create(
model=deployment,
messages=[{"role": "user", "content": "ping"}],
max_tokens=5,
)
return {"ok": True}
except Exception as exc:
return {"ok": False, "error": str(exc)}
return await asyncio.to_thread(_ping)
+22
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@@ -24,3 +24,25 @@ class TenantOut(BaseModel):
created_at: datetime
model_config = {"from_attributes": True}
class TenantAIConfigUpdate(BaseModel):
ai_enabled: bool = False
ai_endpoint: str | None = None
ai_deployment: str = "gpt-4o"
ai_api_version: str = "2024-02-01"
ai_api_key: str | None = None # optional — don't require re-entry
ai_max_tokens: int = 500
ai_temperature: float = 0.1
ai_validation_prompt: str | None = None
class TenantAIConfigOut(BaseModel):
ai_enabled: bool
ai_endpoint: str | None
ai_deployment: str
ai_api_version: str
has_api_key: bool # True if ai_api_key is set — never return the key itself
ai_max_tokens: int
ai_temperature: float
ai_validation_prompt: str | None
+42 -12
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@@ -24,10 +24,13 @@ Respond in JSON with exactly these fields:
}"""
def validate_thumbnail(order_item_id: str) -> dict:
def validate_thumbnail(order_item_id: str, tenant_config: dict | None = None) -> dict:
"""
Validate thumbnail orientation using Azure GPT-4o Vision.
Updates the order_item AI validation fields in DB.
If tenant_config is provided and tenant_config["ai_enabled"] is True,
the tenant's own Azure credentials are used instead of global settings.
"""
from app.config import settings
from sqlalchemy import create_engine
@@ -45,7 +48,7 @@ def validate_thumbnail(order_item_id: str) -> dict:
session.commit()
try:
result = _call_azure_vision(item.thumbnail_path, settings)
result = _call_azure_vision(item.thumbnail_path, settings, tenant_config)
item.ai_validation_status = AIValidationStatus.completed
item.ai_validation_result = result
except Exception as exc:
@@ -58,11 +61,38 @@ def validate_thumbnail(order_item_id: str) -> dict:
return result
def _call_azure_vision(thumbnail_path: str | None, settings) -> dict:
"""Call Azure OpenAI GPT-4o with a base64-encoded thumbnail."""
def _call_azure_vision(
thumbnail_path: str | None,
settings,
tenant_config: dict | None = None,
) -> dict:
"""Call Azure OpenAI GPT-4o with a base64-encoded thumbnail.
Credential resolution order:
1. tenant_config (if provided and ai_enabled=True)
2. Global settings (azure_openai_* env vars)
"""
import json
if not settings.azure_openai_api_key or not settings.azure_openai_endpoint:
# Resolve credentials from tenant config or global settings
if tenant_config and tenant_config.get("ai_enabled"):
api_key = tenant_config.get("ai_api_key") or settings.azure_openai_api_key
endpoint = tenant_config.get("ai_endpoint") or settings.azure_openai_endpoint
deployment = tenant_config.get("ai_deployment") or settings.azure_openai_deployment
api_version = tenant_config.get("ai_api_version") or settings.azure_openai_api_version
max_tokens = int(tenant_config.get("ai_max_tokens", 500))
temperature = float(tenant_config.get("ai_temperature", 0.1))
prompt = tenant_config.get("ai_validation_prompt") or VALIDATION_PROMPT
else:
api_key = settings.azure_openai_api_key
endpoint = settings.azure_openai_endpoint
deployment = settings.azure_openai_deployment
api_version = settings.azure_openai_api_version
max_tokens = 500
temperature = 0.1
prompt = VALIDATION_PROMPT
if not api_key or not endpoint:
raise ValueError("Azure OpenAI credentials not configured")
if not thumbnail_path or not Path(thumbnail_path).exists():
@@ -72,21 +102,21 @@ def _call_azure_vision(thumbnail_path: str | None, settings) -> dict:
from openai import AzureOpenAI
client = AzureOpenAI(
api_key=settings.azure_openai_api_key,
azure_endpoint=settings.azure_openai_endpoint,
api_version=settings.azure_openai_api_version,
api_key=api_key,
azure_endpoint=endpoint,
api_version=api_version,
)
with open(thumbnail_path, "rb") as f:
image_b64 = base64.b64encode(f.read()).decode("utf-8")
response = client.chat.completions.create(
model=settings.azure_openai_deployment,
model=deployment,
messages=[
{
"role": "user",
"content": [
{"type": "text", "text": VALIDATION_PROMPT},
{"type": "text", "text": prompt},
{
"type": "image_url",
"image_url": {"url": f"data:image/png;base64,{image_b64}"},
@@ -94,8 +124,8 @@ def _call_azure_vision(thumbnail_path: str | None, settings) -> dict:
],
}
],
max_tokens=500,
temperature=0.1,
max_tokens=max_tokens,
temperature=temperature,
)
content = response.choices[0].message.content or ""
+25 -2
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@@ -7,11 +7,34 @@ logger = logging.getLogger(__name__)
@celery_app.task(bind=True, name="app.tasks.ai_tasks.validate_item", queue="ai_validation")
def validate_item(self, order_item_id: str):
"""Validate orientation of a rendered thumbnail via Azure GPT-4o Vision."""
"""Validate orientation of a rendered thumbnail via Azure GPT-4o Vision.
Loads the order item's tenant config and passes it to validate_thumbnail()
so that per-tenant Azure credentials are used when configured.
"""
logger.info(f"AI validation for item: {order_item_id}")
try:
from app.config import settings
from sqlalchemy import create_engine
from sqlalchemy.orm import Session
from app.models.order_item import OrderItem
from app.services.azure_ai import validate_thumbnail
validate_thumbnail(order_item_id)
# Load tenant config for this order item
tenant_config: dict | None = None
try:
engine = create_engine(settings.database_url_sync)
with Session(engine) as session:
item = session.get(OrderItem, __import__("uuid").UUID(order_item_id))
if item and hasattr(item, "order") and item.order and item.order.tenant_id:
from app.domains.tenants.models import Tenant
tenant = session.get(Tenant, item.order.tenant_id)
if tenant:
tenant_config = tenant.tenant_config or {}
except Exception as exc:
logger.warning(f"Could not load tenant config for {order_item_id}: {exc}")
validate_thumbnail(order_item_id, tenant_config=tenant_config)
except Exception as exc:
logger.error(f"AI validation failed for {order_item_id}: {exc}")
raise self.retry(exc=exc, countdown=30, max_retries=3)
+44
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@@ -21,6 +21,28 @@ export interface TenantUpdate {
is_active?: boolean
}
export interface TenantAIConfig {
ai_enabled: boolean
ai_endpoint: string | null
ai_deployment: string
ai_api_version: string
has_api_key: boolean
ai_max_tokens: number
ai_temperature: number
ai_validation_prompt: string | null
}
export interface TenantAIConfigUpdate {
ai_enabled: boolean
ai_endpoint?: string | null
ai_deployment?: string
ai_api_version?: string
ai_api_key?: string | null
ai_max_tokens?: number
ai_temperature?: number
ai_validation_prompt?: string | null
}
export async function getTenants(): Promise<Tenant[]> {
const res = await api.get<Tenant[]>('/tenants/')
return res.data
@@ -44,3 +66,25 @@ export async function updateTenant(id: string, data: TenantUpdate): Promise<Tena
export async function deleteTenant(id: string): Promise<void> {
await api.delete(`/tenants/${id}`)
}
export async function getTenantAIConfig(tenantId: string): Promise<TenantAIConfig> {
const res = await api.get<TenantAIConfig>(`/tenants/${tenantId}/ai-config`)
return res.data
}
export async function updateTenantAIConfig(
tenantId: string,
config: TenantAIConfigUpdate,
): Promise<TenantAIConfig> {
const res = await api.put<TenantAIConfig>(`/tenants/${tenantId}/ai-config`, config)
return res.data
}
export async function testTenantAIConfig(
tenantId: string,
): Promise<{ ok: boolean; error?: string }> {
const res = await api.post<{ ok: boolean; error?: string }>(
`/tenants/${tenantId}/ai-config/test`,
)
return res.data
}
+21
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@@ -197,3 +197,24 @@ export async function updateWorkerConfig(
const res = await api.put<WorkerConfig>(`/worker/configs/${queueName}`, update)
return res.data
}
// ---------------------------------------------------------------------------
// GPU probe
// ---------------------------------------------------------------------------
export interface GPUProbeResult {
status: 'ok' | 'failed' | 'error' | 'unknown'
device_type?: string | null
error?: string | null
probed_at?: string | null
}
export async function getGpuProbeResult(): Promise<GPUProbeResult> {
const res = await api.get<GPUProbeResult>('/worker/gpu-probe')
return res.data
}
export async function triggerGpuProbe(): Promise<{ task_id: string; queued: boolean }> {
const res = await api.post<{ task_id: string; queued: boolean }>('/worker/gpu-probe')
return res.data
}
+154 -2
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@@ -1,7 +1,7 @@
import { useQuery, useMutation, useQueryClient } from '@tanstack/react-query'
import { useState } from 'react'
import { useState, useRef } from 'react'
import { toast } from 'sonner'
import { UserPlus, Trash2, Pencil, ChevronDown, ChevronUp, ChevronRight, Settings, RefreshCw, CheckCircle2, XCircle, Clock, DollarSign, Layers, AlertTriangle, Upload, FileBox, Plus, X, LayoutDashboard } from 'lucide-react'
import { UserPlus, Trash2, Pencil, ChevronDown, ChevronUp, ChevronRight, Settings, RefreshCw, CheckCircle2, XCircle, Clock, DollarSign, Layers, AlertTriangle, Upload, FileBox, Plus, X, LayoutDashboard, Cpu, Zap } from 'lucide-react'
import { Link } from 'react-router-dom'
import api from '../api/client'
import ConfirmModal from '../components/ConfirmModal'
@@ -20,6 +20,8 @@ import {
import { getTenantDefaultDashboard } from '../api/dashboard'
import type { WidgetConfig } from '../api/dashboard'
import DashboardCustomizeModal from '../components/dashboard/DashboardCustomizeModal'
import { getGpuProbeResult, triggerGpuProbe } from '../api/worker'
import type { GPUProbeResult } from '../api/worker'
export default function AdminPage() {
const qc = useQueryClient()
@@ -202,6 +204,67 @@ export default function AdminPage() {
staleTime: 300_000,
})
// GPU Probe
const [gpuProbeExpanded, setGpuProbeExpanded] = useState(false)
const [gpuProbing, setGpuProbing] = useState(false)
const gpuPollRef = useRef<ReturnType<typeof setInterval> | null>(null)
const { data: gpuProbeResult, refetch: refetchGpuProbe } = useQuery<GPUProbeResult>({
queryKey: ['gpu-probe-result'],
queryFn: getGpuProbeResult,
enabled: isAdmin,
refetchInterval: gpuProbing ? 2000 : false,
staleTime: 0,
})
const handleRunGpuCheck = async () => {
if (!isAdmin) return
setGpuProbing(true)
try {
await triggerGpuProbe()
// Poll for up to 45 seconds
let elapsed = 0
const interval = setInterval(async () => {
elapsed += 2
await refetchGpuProbe()
if (elapsed >= 45) {
clearInterval(interval)
setGpuProbing(false)
}
}, 2000)
gpuPollRef.current = interval
} catch {
toast.error('Failed to trigger GPU check')
setGpuProbing(false)
}
}
const gpuStatusBadge = () => {
if (!gpuProbeResult) return null
const s = gpuProbeResult.status
if (s === 'ok') {
return (
<span className="inline-flex items-center gap-1 px-2 py-0.5 rounded-full text-xs font-medium bg-status-success-bg text-status-success-text">
<CheckCircle2 size={11} />
GPU OK{gpuProbeResult.device_type ? ` (${gpuProbeResult.device_type})` : ''}
</span>
)
}
if (s === 'failed') {
return (
<span className="inline-flex items-center gap-1 px-2 py-0.5 rounded-full text-xs font-medium bg-yellow-100 text-yellow-800 dark:bg-yellow-900 dark:text-yellow-200">
<Cpu size={11} />
CPU Fallback
</span>
)
}
return (
<span className="inline-flex items-center gap-1 px-2 py-0.5 rounded-full text-xs font-medium bg-status-error-bg text-status-error-text">
<XCircle size={11} />
{s === 'error' ? 'Error' : 'Unknown'}
</span>
)
}
return (
<div className="p-8 space-y-8">
<h1 className="text-2xl font-bold text-content">Admin</h1>
@@ -1523,6 +1586,95 @@ function AssetLibraryPanel() {
</div>
)}
{/* ------------------------------------------------------------------ */}
{/* GPU Status (admin only) */}
{/* ------------------------------------------------------------------ */}
{isAdmin && (
<div className="card">
<button
className="w-full p-4 flex items-center justify-between text-left"
onClick={() => setGpuProbeExpanded((v) => !v)}
>
<div className="flex items-center gap-2">
<Zap size={16} className="text-content-muted" />
<div>
<h2 className="font-semibold text-content">GPU Status</h2>
<p className="text-xs text-content-muted mt-0.5">
Check Blender GPU availability on the render worker
</p>
</div>
</div>
<div className="flex items-center gap-3">
{gpuStatusBadge()}
{gpuProbeResult?.probed_at && (
<span className="text-xs text-content-muted">
Last checked: {Math.round((Date.now() - new Date(gpuProbeResult.probed_at).getTime()) / 60000)} min ago
</span>
)}
{gpuProbeExpanded ? <ChevronUp size={16} className="text-content-muted" /> : <ChevronDown size={16} className="text-content-muted" />}
</div>
</button>
{gpuProbeExpanded && (
<div className="px-6 pb-6 space-y-4 border-t border-border-default pt-4">
<div className="flex items-center gap-3">
<button
onClick={handleRunGpuCheck}
disabled={gpuProbing}
className="flex items-center gap-2 px-4 py-2 text-sm rounded-md bg-accent text-accent-text font-medium hover:bg-accent-hover disabled:opacity-50 disabled:cursor-not-allowed transition-colors"
>
{gpuProbing
? <RefreshCw size={14} className="animate-spin" />
: <Zap size={14} />
}
{gpuProbing ? 'Checking…' : 'Run GPU Check'}
</button>
{gpuProbing && (
<span className="text-xs text-content-muted">
Polling for result (up to 45s)
</span>
)}
</div>
{gpuProbeResult && (
<div className="rounded-lg border border-border-default bg-surface-alt p-4 space-y-2 text-sm">
<div className="flex items-center gap-2">
<span className="text-content-secondary w-28 shrink-0">Status</span>
{gpuStatusBadge()}
</div>
{gpuProbeResult.device_type && (
<div className="flex items-center gap-2">
<span className="text-content-secondary w-28 shrink-0">Device type</span>
<span className="text-content font-mono text-xs">{gpuProbeResult.device_type}</span>
</div>
)}
{gpuProbeResult.error && (
<div className="flex items-start gap-2">
<span className="text-content-secondary w-28 shrink-0">Error</span>
<span className="text-status-error-text text-xs">{gpuProbeResult.error}</span>
</div>
)}
{gpuProbeResult.probed_at && (
<div className="flex items-center gap-2">
<span className="text-content-secondary w-28 shrink-0">Probed at</span>
<span className="text-content-muted text-xs">
{new Date(gpuProbeResult.probed_at).toLocaleString()}
</span>
</div>
)}
</div>
)}
{!gpuProbeResult && !gpuProbing && (
<p className="text-sm text-content-muted">
No probe result yet. Click "Run GPU Check" to trigger a check on the render worker.
</p>
)}
</div>
)}
</div>
)}
<ConfirmModal
open={confirmState.open}
title={confirmState.title}
+329 -1
View File
@@ -3,11 +3,13 @@ import { useQuery, useMutation, useQueryClient } from '@tanstack/react-query'
import { toast } from 'sonner'
import {
Plus, Trash2, Pencil, X, Building2, ChevronDown, Check, Users,
Brain, CheckCircle2, XCircle, Loader2, Eye, EyeOff,
} from 'lucide-react'
import {
getTenants, createTenant, updateTenant, deleteTenant,
getTenantAIConfig, updateTenantAIConfig, testTenantAIConfig,
} from '../api/tenants'
import type { Tenant, TenantCreate, TenantUpdate } from '../api/tenants'
import type { Tenant, TenantCreate, TenantUpdate, TenantAIConfig, TenantAIConfigUpdate } from '../api/tenants'
const TENANT_CONTEXT_KEY = 'schaeffler_tenant_id'
@@ -56,6 +58,105 @@ export default function TenantsPage() {
// --- Delete confirm state ---
const [deletingId, setDeletingId] = useState<string | null>(null)
// --- AI Config panel state ---
const [aiConfigTenant, setAIConfigTenant] = useState<Tenant | null>(null)
const [aiForm, setAIForm] = useState<TenantAIConfigUpdate>({
ai_enabled: false,
ai_endpoint: null,
ai_deployment: 'gpt-4o',
ai_api_version: '2024-02-01',
ai_api_key: null,
ai_max_tokens: 500,
ai_temperature: 0.1,
ai_validation_prompt: null,
})
const [showApiKey, setShowApiKey] = useState(false)
const [urlPasteValue, setUrlPasteValue] = useState('')
const [testResult, setTestResult] = useState<{ ok: boolean; error?: string } | null>(null)
const [isTesting, setIsTesting] = useState(false)
const { data: aiConfig } = useQuery<TenantAIConfig>({
queryKey: ['tenant-ai-config', aiConfigTenant?.id],
queryFn: () => getTenantAIConfig(aiConfigTenant!.id),
enabled: !!aiConfigTenant,
})
// Sync aiForm when aiConfig loads
useEffect(() => {
if (aiConfig) {
setAIForm({
ai_enabled: aiConfig.ai_enabled,
ai_endpoint: aiConfig.ai_endpoint ?? null,
ai_deployment: aiConfig.ai_deployment,
ai_api_version: aiConfig.ai_api_version,
ai_api_key: null, // never pre-fill — has_api_key tells us if one is set
ai_max_tokens: aiConfig.ai_max_tokens,
ai_temperature: aiConfig.ai_temperature,
ai_validation_prompt: aiConfig.ai_validation_prompt ?? null,
})
}
}, [aiConfig])
const saveAIMut = useMutation({
mutationFn: ({ id, data }: { id: string; data: TenantAIConfigUpdate }) =>
updateTenantAIConfig(id, data),
onSuccess: () => {
toast.success('AI config saved')
qc.invalidateQueries({ queryKey: ['tenant-ai-config', aiConfigTenant?.id] })
},
onError: (e: any) => toast.error(e.response?.data?.detail || 'Failed to save AI config'),
})
const handleUrlPaste = (raw: string) => {
setUrlPasteValue(raw)
try {
// e.g. https://myinstance.openai.azure.com/openai/deployments/gpt-4o/chat/completions?api-version=2024-02-01
const url = new URL(raw)
const endpoint = `${url.protocol}//${url.hostname}`
const parts = url.pathname.split('/')
// /openai/deployments/{deployment}/...
const deployIdx = parts.indexOf('deployments')
const deployment = deployIdx >= 0 ? parts[deployIdx + 1] : null
const apiVersion = url.searchParams.get('api-version') ?? null
setAIForm((prev) => ({
...prev,
ai_endpoint: endpoint || prev.ai_endpoint,
...(deployment ? { ai_deployment: deployment } : {}),
...(apiVersion ? { ai_api_version: apiVersion } : {}),
}))
} catch {
// Not a valid URL yet — ignore
}
}
const handleTestConnection = async () => {
if (!aiConfigTenant) return
setIsTesting(true)
setTestResult(null)
try {
const result = await testTenantAIConfig(aiConfigTenant.id)
setTestResult(result)
} catch (e: any) {
setTestResult({ ok: false, error: e.response?.data?.detail || 'Request failed' })
} finally {
setIsTesting(false)
}
}
const openAIConfig = (tenant: Tenant) => {
setAIConfigTenant(tenant)
setTestResult(null)
setShowApiKey(false)
setUrlPasteValue('')
}
const closeAIConfig = () => {
setAIConfigTenant(null)
setTestResult(null)
setShowApiKey(false)
setUrlPasteValue('')
}
const { data: tenants = [], isLoading } = useQuery({
queryKey: ['tenants'],
queryFn: getTenants,
@@ -241,6 +342,13 @@ export default function TenantsPage() {
<td className="px-4 py-3 text-content-muted">{formatDate(tenant.created_at)}</td>
<td className="px-4 py-3">
<div className="flex items-center justify-end gap-1">
<button
onClick={() => openAIConfig(tenant)}
className="p-1.5 rounded hover:bg-surface-alt text-content-muted hover:text-content transition-colors"
title="Configure Azure AI"
>
<Brain size={15} />
</button>
<button
onClick={() => openEdit(tenant)}
className="p-1.5 rounded hover:bg-surface-alt text-content-muted hover:text-content transition-colors"
@@ -404,6 +512,226 @@ export default function TenantsPage() {
</div>
)}
{/* AI Config Modal */}
{aiConfigTenant && (
<div className="fixed inset-0 z-50 flex items-center justify-center bg-black/40">
<div className="bg-surface rounded-xl shadow-xl w-full max-w-lg mx-4 p-6 max-h-[90vh] overflow-y-auto">
<div className="flex items-center justify-between mb-5">
<div className="flex items-center gap-2">
<Brain size={18} className="text-accent" />
<h2 className="text-lg font-semibold text-content">
Azure AI Config {aiConfigTenant.name}
</h2>
</div>
<button
onClick={closeAIConfig}
className="p-1.5 rounded hover:bg-surface-alt text-content-muted transition-colors"
>
<X size={18} />
</button>
</div>
<div className="space-y-5">
{/* Enable toggle */}
<div className="flex items-center gap-3">
<label className="relative inline-flex items-center cursor-pointer">
<input
type="checkbox"
checked={aiForm.ai_enabled ?? false}
onChange={(e) => setAIForm((prev) => ({ ...prev, ai_enabled: e.target.checked }))}
className="sr-only peer"
/>
<div className="w-9 h-5 bg-surface-muted rounded-full peer peer-checked:bg-accent transition-colors after:content-[''] after:absolute after:top-0.5 after:left-0.5 after:bg-white after:rounded-full after:h-4 after:w-4 after:transition-all peer-checked:after:translate-x-4" />
</label>
<span className="text-sm font-medium text-content-secondary">Azure AI Validation</span>
</div>
{/* URL paste helper */}
<div>
<label className="block text-xs font-semibold text-content-muted uppercase tracking-wider mb-1">
Paste Azure URL (auto-fills fields below)
</label>
<input
type="text"
value={urlPasteValue}
onChange={(e) => handleUrlPaste(e.target.value)}
placeholder="https://myinstance.openai.azure.com/openai/deployments/gpt-4o/chat/completions?api-version=2024-02-01"
className="w-full px-3 py-2 rounded-md border border-border-default bg-surface-alt text-content text-xs font-mono focus:outline-none focus:ring-2 focus:ring-accent/50"
/>
</div>
<div className="border-t border-border-default pt-4 space-y-4">
{/* Endpoint */}
<div>
<label className="block text-sm font-medium text-content-secondary mb-1">
Endpoint
<span className="text-xs font-normal text-content-muted ml-1">
(e.g. https://myinstance.openai.azure.com)
</span>
</label>
<input
type="text"
value={aiForm.ai_endpoint ?? ''}
onChange={(e) => setAIForm((prev) => ({ ...prev, ai_endpoint: e.target.value || null }))}
placeholder="https://myinstance.openai.azure.com"
className="w-full px-3 py-2 rounded-md border border-border-default bg-surface text-content text-sm focus:outline-none focus:ring-2 focus:ring-accent/50"
/>
</div>
{/* Deployment */}
<div>
<label className="block text-sm font-medium text-content-secondary mb-1">
Deployment Name
</label>
<input
type="text"
value={aiForm.ai_deployment ?? 'gpt-4o'}
onChange={(e) => setAIForm((prev) => ({ ...prev, ai_deployment: e.target.value }))}
placeholder="gpt-4o"
className="w-full px-3 py-2 rounded-md border border-border-default bg-surface text-content text-sm focus:outline-none focus:ring-2 focus:ring-accent/50"
/>
</div>
{/* API Version */}
<div>
<label className="block text-sm font-medium text-content-secondary mb-1">
API Version
</label>
<input
type="text"
value={aiForm.ai_api_version ?? '2024-02-01'}
onChange={(e) => setAIForm((prev) => ({ ...prev, ai_api_version: e.target.value }))}
placeholder="2024-02-01"
className="w-full px-3 py-2 rounded-md border border-border-default bg-surface text-content text-sm font-mono focus:outline-none focus:ring-2 focus:ring-accent/50"
/>
</div>
{/* API Key */}
<div>
<label className="block text-sm font-medium text-content-secondary mb-1">
API Key
{aiConfig?.has_api_key && (
<span className="text-xs font-normal text-content-muted ml-2">
(already set enter new value to replace)
</span>
)}
</label>
<div className="relative">
<input
type={showApiKey ? 'text' : 'password'}
value={aiForm.ai_api_key ?? ''}
onChange={(e) => setAIForm((prev) => ({ ...prev, ai_api_key: e.target.value || null }))}
placeholder={aiConfig?.has_api_key ? '●●●●●●●●●●●●' : 'Enter API key'}
className="w-full px-3 py-2 pr-10 rounded-md border border-border-default bg-surface text-content text-sm focus:outline-none focus:ring-2 focus:ring-accent/50"
/>
<button
type="button"
onClick={() => setShowApiKey((v) => !v)}
className="absolute right-2.5 top-1/2 -translate-y-1/2 text-content-muted hover:text-content transition-colors"
>
{showApiKey ? <EyeOff size={15} /> : <Eye size={15} />}
</button>
</div>
</div>
{/* Advanced: max_tokens and temperature */}
<div className="grid grid-cols-2 gap-3">
<div>
<label className="block text-sm font-medium text-content-secondary mb-1">
Max Tokens
</label>
<input
type="number"
min={1}
max={4096}
value={aiForm.ai_max_tokens ?? 500}
onChange={(e) => setAIForm((prev) => ({ ...prev, ai_max_tokens: Number(e.target.value) }))}
className="w-full px-3 py-2 rounded-md border border-border-default bg-surface text-content text-sm focus:outline-none focus:ring-2 focus:ring-accent/50"
/>
</div>
<div>
<label className="block text-sm font-medium text-content-secondary mb-1">
Temperature
</label>
<input
type="number"
min={0}
max={2}
step={0.1}
value={aiForm.ai_temperature ?? 0.1}
onChange={(e) => setAIForm((prev) => ({ ...prev, ai_temperature: Number(e.target.value) }))}
className="w-full px-3 py-2 rounded-md border border-border-default bg-surface text-content text-sm focus:outline-none focus:ring-2 focus:ring-accent/50"
/>
</div>
</div>
{/* Custom validation prompt */}
<div>
<label className="block text-sm font-medium text-content-secondary mb-1">
Custom Validation Prompt
<span className="text-xs font-normal text-content-muted ml-1">
(leave empty to use default)
</span>
</label>
<textarea
rows={4}
value={aiForm.ai_validation_prompt ?? ''}
onChange={(e) => setAIForm((prev) => ({ ...prev, ai_validation_prompt: e.target.value || null }))}
placeholder="Optional: override the default Schaeffler bearing analysis prompt"
className="w-full px-3 py-2 rounded-md border border-border-default bg-surface text-content text-sm resize-y focus:outline-none focus:ring-2 focus:ring-accent/50"
/>
</div>
</div>
{/* Test connection result */}
{testResult && (
<div className={`flex items-center gap-2 px-3 py-2 rounded-md text-sm ${
testResult.ok
? 'bg-status-success-bg text-status-success-text'
: 'bg-status-error-bg text-status-error-text'
}`}>
{testResult.ok
? <CheckCircle2 size={15} />
: <XCircle size={15} />
}
<span>{testResult.ok ? 'Connected successfully' : (testResult.error ?? 'Connection failed')}</span>
</div>
)}
</div>
<div className="flex items-center justify-between mt-6 pt-4 border-t border-border-default">
<button
onClick={handleTestConnection}
disabled={isTesting || !aiConfig?.has_api_key && !aiForm.ai_api_key}
className="flex items-center gap-2 px-4 py-2 text-sm rounded-md border border-border-default text-content-secondary hover:bg-surface-alt disabled:opacity-50 disabled:cursor-not-allowed transition-colors"
>
{isTesting
? <Loader2 size={15} className="animate-spin" />
: <CheckCircle2 size={15} />
}
Test Connection
</button>
<div className="flex gap-2">
<button
onClick={closeAIConfig}
className="px-4 py-2 text-sm rounded-md border border-border-default text-content-secondary hover:bg-surface-alt transition-colors"
>
Cancel
</button>
<button
onClick={() => saveAIMut.mutate({ id: aiConfigTenant.id, data: aiForm })}
disabled={saveAIMut.isPending}
className="px-4 py-2 text-sm rounded-md bg-accent text-accent-text font-medium hover:bg-accent-hover disabled:opacity-50 disabled:cursor-not-allowed transition-colors"
>
{saveAIMut.isPending ? 'Saving…' : 'Save'}
</button>
</div>
</div>
</div>
</div>
)}
{/* Delete Confirm Modal */}
{deletingId && (
<div className="fixed inset-0 z-50 flex items-center justify-center bg-black/40">