Update chatbot

This commit is contained in:
2026-03-26 15:45:54 -04:00
parent 169820240a
commit 3687003935
5 changed files with 128 additions and 39 deletions
+2 -2
View File
@@ -27,8 +27,8 @@ IT_DEPT_EMAIL=da.nguyen8744@gmail.com
# Application URL (used in email links)
APP_BASE_URL=https://tickets.ltservicesinc.com
# Anthropic API Key (for AI Chatbot)
ANTHROPIC_API_KEY=your-anthropic-api-key-here
# Gemini opic API Key (for AI Chatbot)
GROQ_API_KEY=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
# File Upload Configuration
# Must be an absolute path so all gunicorn workers resolve the same directory
+65 -30
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@@ -29,6 +29,53 @@ Your job is to:
7. Always ask clarifying questions if you need more detail before creating a ticket.
"""
# Groq API — OpenAI-compatible, free tier, no region restrictions.
# Free tier: 14,400 requests/day. Get a key at: https://console.groq.com
_GROQ_API_URL = 'https://api.groq.com/openai/v1/chat/completions'
_GROQ_MODEL = 'llama-3.3-70b-versatile'
def _call_groq(api_key, history, user_msg):
"""
Call the Groq API (OpenAI-compatible) and return the assistant's reply text.
The system prompt is prepended as a system message. Prior history and the
new user message are appended in order.
Raises requests.HTTPError or requests.exceptions.RequestException on failure.
"""
model = current_app.config.get('GROQ_MODEL', _GROQ_MODEL)
# Strip any assistant messages containing a create_ticket action block.
# These should never reach the model — if they do, the model re-triggers
# ticket creation on every subsequent turn.
clean_history = [
msg for msg in history
if not (msg.get('role') == 'assistant' and '"action": "create_ticket"' in msg.get('content', ''))
]
messages = (
[{'role': 'system', 'content': _SYSTEM_PROMPT}]
+ clean_history
+ [{'role': 'user', 'content': user_msg}]
)
resp = requests.post(
_GROQ_API_URL,
headers={
'Authorization': f'Bearer {api_key}',
'Content-Type' : 'application/json',
},
json={
'model' : model,
'messages' : messages,
'max_tokens' : 1024,
'temperature': 0.4,
},
timeout=30,
)
resp.raise_for_status()
return resp.json()['choices'][0]['message']['content'].strip()
@chatbot_bp.route('/message', methods=['POST'])
@login_required
@@ -40,40 +87,28 @@ def chat():
if not user_msg:
return jsonify({'error': 'Empty message'}), 400
api_key = current_app.config.get('ANTHROPIC_API_KEY', '')
api_key = current_app.config.get('GROQ_API_KEY', '')
if not api_key:
return jsonify({'reply': "The AI assistant is not configured yet. Please contact your IT administrator.", 'ticket': None})
messages = history + [{'role': 'user', 'content': user_msg}]
return jsonify({
'reply' : 'The AI assistant is not configured yet. Please contact your IT administrator.',
'ticket': None,
})
try:
resp = requests.post(
'https://api.anthropic.com/v1/messages',
headers={
'x-api-key' : api_key,
'anthropic-version': '2023-06-01',
'content-type' : 'application/json',
},
json={
'model' : 'claude-sonnet-4-20250514',
'max_tokens': 1024,
'system' : _SYSTEM_PROMPT,
'messages' : messages,
},
timeout=30,
)
resp.raise_for_status()
reply_text = resp.json()['content'][0]['text'].strip()
reply_text = _call_groq(api_key, history, user_msg)
except Exception as exc:
logger.error(f'[CHATBOT API ERROR] {exc}')
return jsonify({'reply': 'Sorry, I encountered an error. Please try again or submit a ticket manually.', 'ticket': None})
return jsonify({
'reply' : 'Sorry, I encountered an error. Please try again or submit a ticket manually.',
'ticket': None,
})
# Check if the AI wants to create a ticket
ticket_data = None
if '"action": "create_ticket"' in reply_text or "'action': 'create_ticket'" in reply_text:
try:
start = reply_text.find('{')
end = reply_text.rfind('}') + 1
start = reply_text.find('{')
end = reply_text.rfind('}') + 1
parsed = json.loads(reply_text[start:end])
if parsed.get('action') == 'create_ticket':
# Validate AI-provided enum values against allowed sets to
@@ -89,8 +124,8 @@ def chat():
TicketPriority.LOW, TicketPriority.MEDIUM,
TicketPriority.HIGH, TicketPriority.CRITICAL,
}
raw_category = parsed.get('category', TicketCategory.OTHER)
raw_priority = parsed.get('priority', TicketPriority.MEDIUM)
raw_category = parsed.get('category', TicketCategory.OTHER)
raw_priority = parsed.get('priority', TicketPriority.MEDIUM)
safe_category = raw_category if raw_category in _valid_categories else TicketCategory.OTHER
safe_priority = raw_priority if raw_priority in _valid_priorities else TicketPriority.MEDIUM
if raw_category != safe_category:
@@ -118,10 +153,10 @@ def chat():
notify_new_ticket(ticket)
ticket_data = {
'id' : ticket.id,
'ticket_number' : ticket.ticket_number,
'title' : ticket.title,
'url' : f'/tickets/{ticket.id}',
'id' : ticket.id,
'ticket_number': ticket.ticket_number,
'title' : ticket.title,
'url' : f'/tickets/{ticket.id}',
}
reply_text = (
f"✅ **Ticket Created!**\n\n"
+6 -1
View File
@@ -628,13 +628,18 @@ async function sendChat(){
typing.remove();
const reply = d.reply || 'Sorry, I encountered an error.';
appendBubble(reply,'bot');
chatHistory.push({role:'assistant',content:reply});
if(d.ticket){
// Clear history after ticket creation — keeping the prior conversation
// (which contains the AI's JSON action block) causes the model to
// re-trigger ticket creation on every subsequent message.
chatHistory = [];
const notif=document.createElement('div');
notif.className='chat-bubble bot';
notif.style.cssText='background:rgba(45,212,191,.1);border:1px solid rgba(45,212,191,.3);';
notif.innerHTML=`🎫 <strong>${d.ticket.ticket_number}</strong> — <a href="${d.ticket.url}">View Ticket</a>`;
document.getElementById('chat-messages').appendChild(notif);
} else {
chatHistory.push({role:'assistant',content:reply});
}
}catch(e){typing.remove();appendBubble('Sorry, something went wrong.','bot');}
scrollChat();
+45 -1
View File
@@ -19,11 +19,14 @@
{% if notifs.items %}
{% for n in notifs.items %}
<a href="{{ n.link or '#' }}"
data-notif-id="{{ n.id }}"
data-is-read="{{ 'true' if n.is_read else 'false' }}"
class="notif-list-item"
style="display:flex;gap:14px;padding:16px 20px;border-bottom:1px solid var(--border);color:var(--text);
{% if not n.is_read %}border-left:3px solid var(--accent3);background:rgba(0,180,216,.03);{% endif %}">
<div style="margin-top:2px;flex-shrink:0;">
{% if not n.is_read %}
<div style="width:8px;height:8px;border-radius:50%;background:var(--accent3);margin-top:3px;"></div>
<div class="notif-unread-dot" style="width:8px;height:8px;border-radius:50%;background:var(--accent3);margin-top:3px;"></div>
{% else %}
<i class="bi bi-check2" style="color:var(--muted);font-size:14px;"></i>
{% endif %}
@@ -78,4 +81,45 @@
</div>
</div>
</div>
<script>
(function(){
// On page load, fetch the live unread count and sync the bell badge.
// The server-rendered {{ unread_notifications }} is only accurate at render
// time — if the user has been clicking around, it can be stale.
fetch('/api/notifications/unread-count')
.then(r => r.json())
.then(d => { if(typeof updateBadge === 'function') updateBadge(d.count); })
.catch(() => {});
// Intercept every notification link click:
// 1. If the notification is unread, call the mark-read API.
// 2. Decrement the bell badge immediately (optimistic update).
// 3. Navigate to the destination.
document.querySelectorAll('a.notif-list-item').forEach(function(link){
link.addEventListener('click', async function(e){
const id = this.dataset.notifId;
const isRead = this.dataset.isRead === 'true';
const dest = this.getAttribute('href');
if(!isRead && id){
e.preventDefault();
try {
await csrfPost('/api/notifications/' + id + '/read');
} catch(_){}
// Update badge — decrement by 1
if(typeof updateBadge === 'function') updateBadge(-1, true);
// Mark the row as visually read
this.dataset.isRead = 'true';
this.style.borderLeft = '';
this.style.background = '';
const dot = this.querySelector('.notif-unread-dot');
if(dot) dot.remove();
}
if(dest && dest !== '#') window.location.href = dest;
});
});
})();
</script>
{% endblock %}
+8 -3
View File
@@ -1,7 +1,10 @@
import os
from dotenv import load_dotenv
load_dotenv()
# Use an absolute path so .env is found regardless of the process working
# directory — under systemd the CWD may not be the project root.
_here = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
load_dotenv(os.path.join(_here, '.env'))
class Config:
SECRET_KEY = os.environ.get('SECRET_KEY') or 'dev-secret-key-change-in-production'
@@ -44,8 +47,10 @@ class Config:
MAX_CONTENT_LENGTH = int(os.environ.get('MAX_CONTENT_LENGTH', 16 * 1024 * 1024))
ALLOWED_EXTENSIONS = {'png', 'jpg', 'jpeg', 'gif', 'pdf', 'doc', 'docx', 'txt', 'zip', 'log'}
# Anthropic AI
ANTHROPIC_API_KEY = os.environ.get('ANTHROPIC_API_KEY', '')
# AI Chatbot — Groq (free tier: 14,400 req/day, no credit card, no region restrictions)
# Get a key at: https://console.groq.com → API Keys
GROQ_API_KEY = os.environ.get('GROQ_API_KEY', '')
GROQ_MODEL = os.environ.get('GROQ_MODEL', 'llama-3.3-70b-versatile')
# Rate limiting storage.
# The `limits` library (used by Flask-Limiter) does not support MySQL as a