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

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This commit is contained in:
Christian 2026-03-01 02:56:38 +01:00
parent abd5014eb0
commit 8d7d32571a
4 changed files with 192 additions and 18 deletions
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2
VERSION
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@ -1 +1 @@
2.2.3
2.2.4

122
app/settings/backend/router.py
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@ -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]""",
}
@router.get("/ai-prompts", tags=["Settings"])
async def get_ai_prompts():
"""Get all AI prompts (defaults merged with custom overrides)"""
def _get_prompts_with_overrides() -> Dict:
"""Get AI prompts with DB overrides applied"""
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:
@ -491,14 +490,40 @@ async def get_ai_prompts():
prompts[row['key']]['is_custom'] = True
except Exception as e:
logger.warning(f"Could not load custom ai prompts: {e}")
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)}")

51
app/settings/frontend/settings.html
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@ -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_${key}" title="Rediger Prompt">
<i class="bi bi-pencil"></i> Rediger
</button>
@ -2788,6 +2791,8 @@ async function loadAIPrompts() {
style="max-height: 400px; overflow-y: auto; font-size: 0.85rem; white-space: pre-wrap; border-radius: 0;">${escapeHtml(prompt.prompt)}</pre>
<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('${key}')">Annuller</button>
@ -2882,6 +2887,52 @@ async function resetPrompt(key) {
}
}
async function testPrompt(key) {
const btn = document.getElementById(`testBtn_${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) {

35
updateto.sh
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@ -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..."
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
echo "✅ Migrations synced"
else
echo "⚠️ Warning: Could not sync migrations (container might not be ready yet)"
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"
break
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