Release v2.2.4: AI prompt test feature + updateto.sh path fix

VERSION

@@ -1 +1 @@
-2.2.3
+2.2.4

app/settings/backend/router.py

@@ -6,6 +6,9 @@ from fastapi import APIRouter, HTTPException
 from typing import List, Optional, Dict
 from pydantic import BaseModel
 from app.core.database import execute_query
+from app.core.config import settings
+import httpx
+import time
 import logging
 
 logger = logging.getLogger(__name__)
@@ -474,15 +477,11 @@ Output: [Liste af opgaver]""",
     }
 
 
-
+def _get_prompts_with_overrides() -> Dict:
-@router.get("/ai-prompts", tags=["Settings"])
+    """Get AI prompts with DB overrides applied"""
-async def get_ai_prompts():
-    """Get all AI prompts (defaults merged with custom overrides)"""
     prompts = _get_default_prompts()
 
     try:
-        # Check for custom overrides in DB
-        # Note: Table ai_prompts must rely on migration 066
         rows = execute_query("SELECT key, prompt_text FROM ai_prompts")
         if rows:
             for row in rows:
@@ -495,10 +494,36 @@ async def get_ai_prompts():
     return prompts
 
 
+def _get_test_input_for_prompt(key: str) -> str:
+    """Default test input per prompt type"""
+    examples = {
+        "invoice_extraction": "FAKTURA 2026-1001 fra Demo A/S. CVR 12345678. Total 1.250,00 DKK inkl moms.",
+        "ticket_classification": "Emne: Kan ikke logge på VPN. Beskrivelse: Flere brugere er ramt siden i morges.",
+        "ticket_summary": "Bruger havde netværksfejl. Router genstartet og DNS opdateret. Forbindelse virker nu stabilt.",
+        "kb_generation": "Problem: Outlook åbner ikke. Løsning: Reparer Office installation og nulstil profil.",
+        "troubleshooting_assistant": "Server svarer langsomt efter opdatering. CPU er høj, disk IO er normal.",
+        "sentiment_analysis": "Jeg er meget frustreret, systemet er nede igen og vi mister kunder!",
+        "meeting_action_items": "Peter opdaterer firewall fredag. Anna sender status til kunden mandag.",
+    }
+    return examples.get(key, "Skriv kort: AI test OK")
+
+
+
+@router.get("/ai-prompts", tags=["Settings"])
+async def get_ai_prompts():
+    """Get all AI prompts (defaults merged with custom overrides)"""
+    return _get_prompts_with_overrides()
+
+
 class PromptUpdate(BaseModel):
     prompt_text: str
 
 
+class PromptTestRequest(BaseModel):
+    test_input: Optional[str] = None
+    prompt_text: Optional[str] = None
+
+
 @router.put("/ai-prompts/{key}", tags=["Settings"])
 async def update_ai_prompt(key: str, update: PromptUpdate):
     """Override a system prompt with a custom one"""
@@ -533,3 +558,84 @@ async def reset_ai_prompt(key: str):
         raise HTTPException(status_code=500, detail="Could not reset prompt")
 
 
+@router.post("/ai-prompts/{key}/test", tags=["Settings"])
+async def test_ai_prompt(key: str, payload: PromptTestRequest):
+    """Run a quick AI test for a specific system prompt"""
+    prompts = _get_prompts_with_overrides()
+    if key not in prompts:
+        raise HTTPException(status_code=404, detail="Unknown prompt key")
+
+    prompt_cfg = prompts[key]
+    model = prompt_cfg.get("model") or settings.OLLAMA_MODEL
+    endpoint = prompt_cfg.get("endpoint") or settings.OLLAMA_ENDPOINT
+    prompt_text = (payload.prompt_text or prompt_cfg.get("prompt") or "").strip()
+    if not prompt_text:
+        raise HTTPException(status_code=400, detail="Prompt text is empty")
+
+    test_input = (payload.test_input or _get_test_input_for_prompt(key)).strip()
+    if not test_input:
+        raise HTTPException(status_code=400, detail="Test input is empty")
+
+    start = time.perf_counter()
+    try:
+        use_chat_api = model.startswith("qwen3")
+
+        async with httpx.AsyncClient(timeout=60.0) as client:
+            if use_chat_api:
+                response = await client.post(
+                    f"{endpoint}/api/chat",
+                    json={
+                        "model": model,
+                        "messages": [
+                            {"role": "system", "content": prompt_text},
+                            {"role": "user", "content": test_input},
+                        ],
+                        "stream": False,
+                        "options": {"temperature": 0.2, "num_predict": 600},
+                    },
+                )
+            else:
+                response = await client.post(
+                    f"{endpoint}/api/generate",
+                    json={
+                        "model": model,
+                        "prompt": f"{prompt_text}\n\nBrugerinput:\n{test_input}",
+                        "stream": False,
+                        "options": {"temperature": 0.2, "num_predict": 600},
+                    },
+                )
+
+        if response.status_code != 200:
+            raise HTTPException(
+                status_code=502,
+                detail=f"AI endpoint fejl: {response.status_code} - {response.text[:300]}",
+            )
+
+        data = response.json()
+        if use_chat_api:
+            message_data = data.get("message", {})
+            ai_response = (message_data.get("content") or message_data.get("thinking") or "").strip()
+        else:
+            ai_response = (data.get("response") or "").strip()
+
+        if not ai_response:
+            raise HTTPException(status_code=502, detail="AI returnerede tomt svar")
+
+        latency_ms = int((time.perf_counter() - start) * 1000)
+        return {
+            "ok": True,
+            "key": key,
+            "model": model,
+            "endpoint": endpoint,
+            "test_input": test_input,
+            "ai_response": ai_response,
+            "latency_ms": latency_ms,
+        }
+
+    except HTTPException:
+        raise
+    except Exception as e:
+        logger.error(f"❌ AI prompt test failed for {key}: {e}")
+        raise HTTPException(status_code=500, detail=f"Kunne ikke teste AI prompt: {str(e)}")
+
+

app/settings/frontend/settings.html

@@ -2775,6 +2775,9 @@ async function loadAIPrompts() {
                                             <button class="btn btn-outline-danger" onclick="resetPrompt('${key}')" title="Nulstil til standard">
                                                 <i class="bi bi-arrow-counterclockwise"></i> Nulstil
                                             </button>` : ''}
+                                            <button class="btn btn-outline-success" onclick="testPrompt('${key}')" id="testBtn_${key}" title="Test AI prompt">
+                                                <i class="bi bi-play-circle"></i> Test
+                                            </button>
                                             <button class="btn btn-outline-primary" onclick="editPrompt('${key}')" id="editBtn_${key}" title="Rediger Prompt">
                                                 <i class="bi bi-pencil"></i> Rediger
                                             </button>
@@ -2789,6 +2792,8 @@ async function loadAIPrompts() {
                                         <textarea id="edit_prompt_${key}" class="form-control d-none p-3 bg-white text-dark rounded-bottom" 
                                              style="height: 300px; font-family: monospace; font-size: 0.85rem; border-radius: 0;">${escapeHtml(prompt.prompt)}</textarea>
 
+                                        <div id="testResult_${key}" class="alert alert-secondary m-3 py-2 px-3 d-none" style="white-space: pre-wrap; font-size: 0.85rem;"></div>
+                                        
                                         <div id="editActions_${key}" class="position-absolute bottom-0 end-0 p-3 d-none">
                                             <button class="btn btn-sm btn-secondary me-1" onclick="cancelEdit('${key}')">Annuller</button>
                                             <button class="btn btn-sm btn-success" onclick="savePrompt('${key}')"><i class="bi bi-check-lg"></i> Gem</button>
@@ -2882,6 +2887,52 @@ async function resetPrompt(key) {
     }
 }
 
+async function testPrompt(key) {
+    const btn = document.getElementById(`testBtn_${key}`);
+    const resultElement = document.getElementById(`testResult_${key}`);
+    const editElement = document.getElementById(`edit_prompt_${key}`);
+
+    const promptText = editElement ? editElement.value : '';
+    const originalHtml = btn.innerHTML;
+
+    btn.disabled = true;
+    btn.innerHTML = '<span class="spinner-border spinner-border-sm me-1" role="status" aria-hidden="true"></span>Tester';
+
+    resultElement.className = 'alert alert-secondary m-3 py-2 px-3';
+    resultElement.classList.remove('d-none');
+    resultElement.textContent = 'Tester AI...';
+
+    try {
+        const response = await fetch(`/api/v1/ai-prompts/${key}/test`, {
+            method: 'POST',
+            headers: { 'Content-Type': 'application/json' },
+            body: JSON.stringify({ prompt_text: promptText })
+        });
+
+        if (!response.ok) {
+            const message = await getErrorMessage(response, 'Kunne ikke teste AI prompt');
+            throw new Error(message);
+        }
+
+        const result = await response.json();
+        const fullResponse = (result.ai_response || '').trim();
+        const preview = fullResponse.length > 1200 ? `${fullResponse.slice(0, 1200)}\n...` : fullResponse;
+
+        resultElement.className = 'alert alert-success m-3 py-2 px-3';
+        resultElement.textContent =
+            `✅ AI svar modtaget (${result.latency_ms} ms)\n` +
+            `Model: ${result.model}\n\n` +
+            `${preview || '[Tomt svar]'}`;
+    } catch (error) {
+        console.error('Error testing AI prompt:', error);
+        resultElement.className = 'alert alert-danger m-3 py-2 px-3';
+        resultElement.textContent = `❌ ${error.message || 'Kunne ikke teste AI prompt'}`;
+    } finally {
+        btn.disabled = false;
+        btn.innerHTML = originalHtml;
+    }
+}
+
 
 
 function copyPrompt(key) {

updateto.sh

@@ -28,10 +28,10 @@ fi
 CURRENT_IP=$(hostname -I | awk '{print $1}' 2>/dev/null || echo "unknown")
 CURRENT_DIR=$(pwd)
 
-if [[ "$CURRENT_IP" != "172.16.31.183" ]] && [[ "$CURRENT_DIR" != "/srv/podman/bmc_hub_v1.0" ]]; then
+if [[ "$CURRENT_IP" != "172.16.31.183" ]] && [[ "$CURRENT_DIR" != "/srv/podman/bmc_hub_v2" ]]; then
     echo "⚠️  ADVARSEL: Dette script skal kun køres på PRODUCTION serveren!"
     echo "   Forventet IP: 172.16.31.183"
-    echo "   Forventet mappe: /srv/podman/bmc_hub_v1.0"
+    echo "   Forventet mappe: /srv/podman/bmc_hub_v2"
     echo "   Nuværende IP: $CURRENT_IP"
     echo "   Nuværende mappe: $CURRENT_DIR"
     echo ""
@@ -87,13 +87,30 @@ podman-compose -f "$PODMAN_COMPOSE_FILE" up -d --build
 # Sync migrations from container to host
 echo ""
 echo "📁 Syncer migrations fra container til host..."
+SYNC_OK=false
+for i in {1..20}; do
+    rm -rf ./migrations_temp
     if podman cp bmc-hub-api-prod:/app/migrations ./migrations_temp 2>/dev/null; then
         rm -rf ./migrations
         mv ./migrations_temp ./migrations
         chmod -R 755 ./migrations
+        SYNC_OK=true
         echo "✅ Migrations synced"
-else
+        break
-    echo "⚠️  Warning: Could not sync migrations (container might not be ready yet)"
+    fi
+    echo "⏳ Venter på API container for migration sync... ($i/20)"
+    sleep 2
+done
+
+if [ "$SYNC_OK" != "true" ]; then
+    echo "❌ Fejl: Kunne ikke sync'e migrations fra bmc-hub-api-prod:/app/migrations"
+    echo "   Afbryder for at undgå kørsel af gamle migrations"
+    exit 1
+fi
+
+if [ ! -f "./migrations/138_customers_economic_unique_constraint.sql" ]; then
+    echo "❌ Fejl: Forventet migration 138 mangler efter sync"
+    exit 1
 fi
 
 # Wait a bit for startup