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Update notification service

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MacRimi
2026-03-21 18:53:35 +01:00
parent 5e32857729
commit 1dbb59bc3f
5 changed files with 326 additions and 86 deletions
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336
AppImage/components/notification-settings.tsx
View File

@@ -9,13 +9,13 @@ import { Label } from "./ui/label"
import { Badge } from "./ui/badge"
import { Button } from "./ui/button"
import { Select, SelectContent, SelectItem, SelectTrigger, SelectValue } from "./ui/select"
import { Dialog, DialogContent, DialogHeader, DialogTitle } from "./ui/dialog"
import { Dialog, DialogContent, DialogHeader, DialogTitle, DialogDescription } from "./ui/dialog"
import { fetchApi } from "../lib/api-config"
import {
Bell, BellOff, Send, CheckCircle2, XCircle, Loader2,
AlertTriangle, Info, Settings2, Zap, Eye, EyeOff,
Trash2, ChevronDown, ChevronUp, ChevronRight, TestTube2, Mail, Webhook,
Copy, Server, Shield, ExternalLink, RefreshCw
Copy, Server, Shield, ExternalLink, RefreshCw, Download, Upload
} from "lucide-react"
interface ChannelConfig {
@@ -63,6 +63,8 @@ interface NotificationConfig {
ai_language: string
ai_ollama_url: string
ai_openai_base_url: string
ai_prompt_mode: string // 'default' or 'custom'
ai_custom_prompt: string // User's custom prompt
channel_ai_detail: Record<string, string>
hostname: string
webhook_secret: string
@@ -180,6 +182,23 @@ const AI_DETAIL_LEVELS = [
{ value: "detailed", label: "Detailed", desc: "Complete technical details" },
]
// Example custom prompt for users to adapt
const EXAMPLE_CUSTOM_PROMPT = `You are a notification formatter for ProxMenux Monitor.
Your task is to translate and format server notifications.
RULES:
1. Translate to the user's language
2. Use plain text only (no markdown)
3. Be concise and factual
4. Do not add recommendations
OUTPUT FORMAT:
[TITLE]
your title here
[BODY]
your message here`
const DEFAULT_CONFIG: NotificationConfig = {
enabled: false,
channels: {
@@ -222,6 +241,8 @@ const DEFAULT_CONFIG: NotificationConfig = {
ai_language: "en",
ai_ollama_url: "http://localhost:11434",
ai_openai_base_url: "",
ai_prompt_mode: "default",
ai_custom_prompt: "",
channel_ai_detail: {
telegram: "brief",
gotify: "brief",
@@ -259,6 +280,7 @@ export function NotificationSettings() {
const [aiTestResult, setAiTestResult] = useState<{ success: boolean; message: string; model?: string } | null>(null)
const [providerModels, setProviderModels] = useState<string[]>([])
const [loadingProviderModels, setLoadingProviderModels] = useState(false)
const [showCustomPromptInfo, setShowCustomPromptInfo] = useState(false)
const [webhookSetup, setWebhookSetup] = useState<{
status: "idle" | "running" | "success" | "failed"
fallback_commands: string[]
@@ -269,7 +291,7 @@ export function NotificationSettings() {
try {
const data = await fetchApi<{ success: boolean; config: NotificationConfig }>("/api/notifications/settings")
if (data.success && data.config) {
// Ensure ai_api_keys and ai_models objects exist (fallback for older configs)
// Ensure ai_api_keys, ai_models, and prompt settings exist (fallback for older configs)
const configWithDefaults = {
...data.config,
ai_api_keys: data.config.ai_api_keys || {
@@ -287,7 +309,9 @@ export function NotificationSettings() {
anthropic: "",
openai: "",
openrouter: "",
}
},
ai_prompt_mode: data.config.ai_prompt_mode || "default",
ai_custom_prompt: data.config.ai_custom_prompt || "",
}
// If ai_model exists but ai_models doesn't have it, save it
if (configWithDefaults.ai_model && !configWithDefaults.ai_models[configWithDefaults.ai_provider]) {
@@ -1669,80 +1693,173 @@ export function NotificationSettings() {
</Select>
</div>
{/* Test Connection button */}
<button
onClick={handleTestAI}
disabled={
!editMode ||
testingAI ||
!config.ai_model ||
(config.ai_provider !== "ollama" && !config.ai_api_keys?.[config.ai_provider])
}
className="w-full h-9 flex items-center justify-center gap-2 rounded-md text-sm font-medium bg-purple-600 hover:bg-purple-700 text-white disabled:opacity-50 disabled:cursor-not-allowed transition-colors"
>
{testingAI ? (
<><Loader2 className="h-4 w-4 animate-spin" /> Testing...</>
) : (
<><Zap className="h-4 w-4" /> Test Connection</>
)}
</button>
{/* Test result */}
{aiTestResult && (
<div className={`flex items-start gap-2 p-3 rounded-md ${
aiTestResult.success
? "bg-green-500/10 border border-green-500/20"
: "bg-red-500/10 border border-red-500/20"
}`}>
{aiTestResult.success
? <CheckCircle2 className="h-4 w-4 text-green-400 shrink-0 mt-0.5" />
: <XCircle className="h-4 w-4 text-red-400 shrink-0 mt-0.5" />
}
<p className={`text-xs sm:text-sm leading-relaxed ${
aiTestResult.success ? "text-green-400/90" : "text-red-400/90"
}`}>
{aiTestResult.message}
{aiTestResult.model && ` (${aiTestResult.model})`}
</p>
</div>
)}
{/* Per-channel detail level */}
{/* Prompt Mode section */}
<div className="space-y-3 pt-3 border-t border-border/50">
<Label className="text-xs sm:text-sm text-foreground/80">Detail Level per Channel</Label>
<div className="grid grid-cols-2 gap-3">
{CHANNEL_TYPES.map(ch => (
<div key={ch} className="flex items-center justify-between gap-2 px-3 py-2 rounded bg-muted/30">
<span className="text-xs sm:text-sm text-foreground/70 capitalize">{ch}</span>
<Select
value={config.channel_ai_detail?.[ch] || "standard"}
onValueChange={v => updateConfig(p => ({
...p,
channel_ai_detail: { ...p.channel_ai_detail, [ch]: v }
}))}
disabled={!editMode}
>
<SelectTrigger className="h-7 w-[90px] text-xs px-2">
<SelectValue />
</SelectTrigger>
<SelectContent>
{AI_DETAIL_LEVELS.map(l => (
<SelectItem key={l.value} value={l.value} className="text-xs">
{l.label}
</SelectItem>
))}
</SelectContent>
</Select>
</div>
))}
<div className="space-y-2">
<Label className="text-xs sm:text-sm text-foreground/80">Prompt Mode</Label>
<Select
value={config.ai_prompt_mode || "default"}
onValueChange={v => {
updateConfig(p => ({ ...p, ai_prompt_mode: v }))
// Show info modal when switching to custom for the first time
if (v === "custom" && !config.ai_custom_prompt) {
setShowCustomPromptInfo(true)
}
}}
disabled={!editMode}
>
<SelectTrigger className="h-9 text-sm">
<SelectValue />
</SelectTrigger>
<SelectContent>
<SelectItem value="default">Default Prompt</SelectItem>
<SelectItem value="custom">Custom Prompt</SelectItem>
</SelectContent>
</Select>
</div>
{/* Default mode: Detail Level per Channel */}
{(config.ai_prompt_mode || "default") === "default" && (
<div className="space-y-3">
<Label className="text-xs sm:text-sm text-foreground/80">Detail Level per Channel</Label>
<div className="grid grid-cols-2 gap-3">
{CHANNEL_TYPES.map(ch => (
<div key={ch} className="flex items-center justify-between gap-2 px-3 py-2 rounded bg-muted/30">
<span className="text-xs sm:text-sm text-foreground/70 capitalize">{ch}</span>
<Select
value={config.channel_ai_detail?.[ch] || "standard"}
onValueChange={v => updateConfig(p => ({
...p,
channel_ai_detail: { ...p.channel_ai_detail, [ch]: v }
}))}
disabled={!editMode}
>
<SelectTrigger className="h-7 w-[90px] text-xs px-2">
<SelectValue />
</SelectTrigger>
<SelectContent>
{AI_DETAIL_LEVELS.map(l => (
<SelectItem key={l.value} value={l.value} className="text-xs">
{l.label}
</SelectItem>
))}
</SelectContent>
</Select>
</div>
))}
</div>
<div className="flex items-start gap-2 p-3 rounded-md bg-purple-500/10 border border-purple-500/20">
<Info className="h-4 w-4 text-purple-400 shrink-0 mt-0.5" />
<p className="text-xs sm:text-sm text-purple-400/90 leading-relaxed">
AI translates and formats notifications to your selected language. Each channel can have different detail levels.
</p>
</div>
</div>
)}
{/* Custom mode: Editable prompt textarea */}
{config.ai_prompt_mode === "custom" && (
<div className="space-y-3">
<div className="space-y-2">
<Label className="text-xs sm:text-sm text-foreground/80">Custom Prompt</Label>
<textarea
value={config.ai_custom_prompt || ""}
onChange={e => updateConfig(p => ({ ...p, ai_custom_prompt: e.target.value }))}
disabled={!editMode}
placeholder="Enter your custom prompt instructions for the AI..."
className="w-full h-48 px-3 py-2 text-sm rounded-md border border-border bg-background resize-y focus:outline-none focus:ring-2 focus:ring-purple-500/50 disabled:opacity-50 disabled:cursor-not-allowed"
/>
</div>
<div className="flex gap-2">
<Button
variant="outline"
size="sm"
disabled={!editMode}
onClick={() => {
const blob = new Blob([config.ai_custom_prompt || ""], { type: "text/plain" })
const url = URL.createObjectURL(blob)
const a = document.createElement("a")
a.href = url
a.download = "proxmenux_custom_prompt.txt"
a.click()
URL.revokeObjectURL(url)
}}
className="flex items-center gap-1"
>
<Download className="h-4 w-4" />
Export
</Button>
<Button
variant="outline"
size="sm"
disabled={!editMode}
onClick={() => {
const input = document.createElement("input")
input.type = "file"
input.accept = ".txt,.md"
input.onchange = async (e) => {
const file = (e.target as HTMLInputElement).files?.[0]
if (file) {
const text = await file.text()
updateConfig(p => ({ ...p, ai_custom_prompt: text }))
}
}
input.click()
}}
className="flex items-center gap-1"
>
<Upload className="h-4 w-4" />
Import
</Button>
</div>
<div className="flex items-start gap-2 p-3 rounded-md bg-purple-500/10 border border-purple-500/20">
<Info className="h-4 w-4 text-purple-400 shrink-0 mt-0.5" />
<p className="text-xs sm:text-sm text-purple-400/90 leading-relaxed">
Define your own prompt rules and format. You control the detail level and style of all notifications. Export to share with others or import prompts from the community.
</p>
</div>
</div>
)}
</div>
<div className="flex items-start gap-2 p-3 rounded-md bg-purple-500/10 border border-purple-500/20">
<Info className="h-4 w-4 text-purple-400 shrink-0 mt-0.5" />
<p className="text-xs sm:text-sm text-purple-400/90 leading-relaxed">
AI enhancement translates and formats notifications to your selected language. Each channel can have different detail levels. If the AI service is unavailable, standard templates are used as fallback.
</p>
{/* Test Connection button - moved to end */}
<div className="space-y-3 pt-3 border-t border-border/50">
<button
onClick={handleTestAI}
disabled={
!editMode ||
testingAI ||
!config.ai_model ||
(config.ai_provider !== "ollama" && !config.ai_api_keys?.[config.ai_provider])
}
className="w-full h-9 flex items-center justify-center gap-2 rounded-md text-sm font-medium bg-purple-600 hover:bg-purple-700 text-white disabled:opacity-50 disabled:cursor-not-allowed transition-colors"
>
{testingAI ? (
<><Loader2 className="h-4 w-4 animate-spin" /> Testing...</>
) : (
<><Zap className="h-4 w-4" /> Test Connection</>
)}
</button>
{/* Test result */}
{aiTestResult && (
<div className={`flex items-start gap-2 p-3 rounded-md ${
aiTestResult.success
? "bg-green-500/10 border border-green-500/20"
: "bg-red-500/10 border border-red-500/20"
}`}>
{aiTestResult.success
? <CheckCircle2 className="h-4 w-4 text-green-400 shrink-0 mt-0.5" />
: <XCircle className="h-4 w-4 text-red-400 shrink-0 mt-0.5" />
}
<p className={`text-xs sm:text-sm leading-relaxed ${
aiTestResult.success ? "text-green-400/90" : "text-red-400/90"
}`}>
{aiTestResult.message}
{aiTestResult.model && ` (${aiTestResult.model})`}
</p>
</div>
)}
</div>
</>
)}
@@ -1903,6 +2020,77 @@ export function NotificationSettings() {
</div>
</DialogContent>
</Dialog>
{/* Custom Prompt Info Modal */}
<Dialog open={showCustomPromptInfo} onOpenChange={setShowCustomPromptInfo}>
<DialogContent className="max-w-[90vw] sm:max-w-lg">
<DialogHeader>
<DialogTitle className="flex items-center gap-2 text-lg">
<Settings2 className="h-5 w-5 text-purple-400" />
Custom Prompt Mode
</DialogTitle>
<DialogDescription className="text-muted-foreground">
Create your own AI prompt for ProxMenux Monitor notifications
</DialogDescription>
</DialogHeader>
<div className="space-y-4 text-sm">
<div className="space-y-2">
<h4 className="font-medium text-foreground/90">What is a custom prompt?</h4>
<p className="text-muted-foreground text-xs leading-relaxed">
The prompt defines how the AI formats your notifications. With a custom prompt, you control the style, detail level, and format of all messages.
</p>
</div>
<div className="space-y-2">
<h4 className="font-medium text-foreground/90">Important requirements</h4>
<ul className="text-muted-foreground text-xs space-y-1.5">
<li className="flex items-start gap-2">
<span className="text-purple-400 mt-0.5">1.</span>
<span>Your prompt must output in this format:<br/>
<code className="bg-muted px-1.5 py-0.5 rounded text-[11px]">[TITLE]</code> followed by the title, then <code className="bg-muted px-1.5 py-0.5 rounded text-[11px]">[BODY]</code> followed by the message
</span>
</li>
<li className="flex items-start gap-2">
<span className="text-purple-400 mt-0.5">2.</span>
<span>Use plain text only (no markdown) for compatibility with all channels</span>
</li>
<li className="flex items-start gap-2">
<span className="text-purple-400 mt-0.5">3.</span>
<span>The prompt receives raw Proxmox event data as input</span>
</li>
</ul>
</div>
<div className="space-y-2">
<h4 className="font-medium text-foreground/90">Getting started</h4>
<p className="text-muted-foreground text-xs leading-relaxed">
We have added an example prompt to get you started. You can adapt it, export it to share with others, or import prompts from the community.
</p>
</div>
<div className="flex gap-2 pt-2">
<Button
variant="outline"
size="sm"
onClick={() => {
updateConfig(p => ({ ...p, ai_custom_prompt: EXAMPLE_CUSTOM_PROMPT }))
setShowCustomPromptInfo(false)
}}
className="flex-1"
>
Load Example
</Button>
<Button
size="sm"
onClick={() => setShowCustomPromptInfo(false)}
className="flex-1 bg-purple-600 hover:bg-purple-700 text-white"
>
Got it
</Button>
</div>
</div>
</DialogContent>
</Dialog>
</>
)
}

38
AppImage/config/default_prompt.txt Normal file
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@@ -0,0 +1,38 @@
You are a system notification formatter for ProxMenux Monitor, a Proxmox VE monitoring tool.
Your task is to translate and reformat incoming server alert messages into {language}.
═══ ABSOLUTE RULES ═══
1. Translate BOTH title and body to {language}. Every word, label, and unit must be in {language}.
2. NO markdown: no **bold**, no *italic*, no `code`, no headers (#), no bullet lists (- or *)
3. Plain text only — the output is sent to chat apps and email which handle their own formatting
4. Tone: factual, concise, technical. No greetings, no closings, no apologies
5. DO NOT add recommendations, action items, or suggestions ("you should…", "consider…")
6. Present ONLY the facts already in the input — do not invent or assume information
7. OUTPUT ONLY THE FINAL RESULT — never include both original and processed versions.
Do NOT append "Original message:", "Original:", "Source:", or any before/after comparison.
Return ONLY the single, final formatted message in {language}.
8. PLAIN NARRATIVE LINES — if a line in the input is a complete sentence (not a "Label: value"
pair), translate it as-is. Never prepend "Message:", "Note:", or any other label to a sentence.
9. Detail level to apply: {detail_level}
- brief → 2-3 lines, essential data only (status + key metric)
- standard → short paragraph covering who/what/where and the key value
- detailed → full technical breakdown of all available fields
10. Keep the "hostname: " prefix in the title. Translate only the descriptive part.
Example: "pve01: Updates available" → "pve01: Actualizaciones disponibles"
11. EMPTY LIST VALUES — if a list field is empty, "none", or "0":
Always write the translated word for "none" on the line after the label, never leave it blank.
12. DEDUPLICATION — input may contain redundant or repeated information from multiple monitoring sources:
- Identify and merge duplicate facts (same device, same error, same metric mentioned twice)
- Present each unique fact exactly once in a clear, consolidated form
- If the same data appears in different formats, choose the most informative version
{emoji_instructions}
═══ OUTPUT FORMAT ═══
TITLE: <translated title>
BODY:
<translated body>
IMPORTANT:
- Do NOT include the literal words TITLE or BODY anywhere in the translated content

3
AppImage/scripts/build_appimage.sh
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@@ -110,12 +110,13 @@ else
echo "⚠️ ai_providers directory not found"
fi
# Copy config files (verified AI models, etc.)
# Copy config files (verified AI models, prompts, etc.)
echo "📋 Copying config files..."
CONFIG_DIR="$APPIMAGE_ROOT/config"
if [ -d "$CONFIG_DIR" ]; then
mkdir -p "$APP_DIR/usr/bin/config"
cp "$CONFIG_DIR/"*.json "$APP_DIR/usr/bin/config/" 2>/dev/null || true
cp "$CONFIG_DIR/"*.txt "$APP_DIR/usr/bin/config/" 2>/dev/null || true
echo "✅ Config files copied"
else
echo "⚠️ config directory not found"

8
AppImage/scripts/notification_manager.py
View File

@@ -739,6 +739,8 @@ class NotificationManager:
'ai_model': self._config.get('ai_model', ''),
'ai_language': self._config.get('ai_language', 'en'),
'ai_ollama_url': self._config.get('ai_ollama_url', ''),
'ai_prompt_mode': self._config.get('ai_prompt_mode', 'default'),
'ai_custom_prompt': self._config.get('ai_custom_prompt', ''),
}
# Get journal context if available
@@ -1070,6 +1072,8 @@ class NotificationManager:
'ai_model': self._config.get('ai_model', ''),
'ai_language': self._config.get('ai_language', 'en'),
'ai_ollama_url': self._config.get('ai_ollama_url', ''),
'ai_prompt_mode': self._config.get('ai_prompt_mode', 'default'),
'ai_custom_prompt': self._config.get('ai_custom_prompt', ''),
}
results = {}
@@ -1166,6 +1170,8 @@ class NotificationManager:
'ai_model': self._config.get('ai_model', ''),
'ai_language': self._config.get('ai_language', 'en'),
'ai_ollama_url': self._config.get('ai_ollama_url', ''),
'ai_prompt_mode': self._config.get('ai_prompt_mode', 'default'),
'ai_custom_prompt': self._config.get('ai_custom_prompt', ''),
}
ai_enabled = self._config.get('ai_enabled', 'false')
@@ -1559,6 +1565,8 @@ class NotificationManager:
'ai_language': self._config.get('ai_language', 'en'),
'ai_ollama_url': self._config.get('ai_ollama_url', 'http://localhost:11434'),
'ai_openai_base_url': self._config.get('ai_openai_base_url', ''),
'ai_prompt_mode': self._config.get('ai_prompt_mode', 'default'),
'ai_custom_prompt': self._config.get('ai_custom_prompt', ''),
'ai_detail_levels': ai_detail_levels,
'hostname': self._config.get('hostname', ''),
'webhook_secret': self._config.get('webhook_secret', ''),

27
AppImage/scripts/notification_templates.py
View File

@@ -1682,18 +1682,23 @@ class AIEnhancer:
language_code = self.config.get('ai_language', 'en')
language_name = AI_LANGUAGES.get(language_code, 'English')
# Get token limit for detail level
max_tokens = AI_DETAIL_TOKENS.get(detail_level, 200)
# Check for custom prompt mode
prompt_mode = self.config.get('ai_prompt_mode', 'default')
custom_prompt = self.config.get('ai_custom_prompt', '')
# Select emoji instructions based on channel type
emoji_instructions = AI_EMOJI_INSTRUCTIONS if use_emojis else AI_NO_EMOJI_INSTRUCTIONS
# Build system prompt with emoji instructions
system_prompt = AI_SYSTEM_PROMPT.format(
language=language_name,
detail_level=detail_level,
emoji_instructions=emoji_instructions
)
if prompt_mode == 'custom' and custom_prompt.strip():
# Custom prompt: user controls everything, use higher token limit
system_prompt = custom_prompt
max_tokens = 500 # Allow more tokens for custom prompts
else:
# Default prompt: use detail level and emoji settings
max_tokens = AI_DETAIL_TOKENS.get(detail_level, 200)
emoji_instructions = AI_EMOJI_INSTRUCTIONS if use_emojis else AI_NO_EMOJI_INSTRUCTIONS
system_prompt = AI_SYSTEM_PROMPT.format(
language=language_name,
detail_level=detail_level,
emoji_instructions=emoji_instructions
)
# Build user message
user_msg = f"Severity: {severity}\nTitle: {title}\nMessage:\n{body}"