Jul 9 - Chat - Add knowledge base for AI training

This commit is contained in:
2026-07-09 15:21:21 -04:00
parent 43d6776185
commit 8d4b8b72eb
8 changed files with 438 additions and 30 deletions
+19
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@@ -90,3 +90,22 @@ class SupportChatMessage(db.Model):
def __repr__(self):
return f'<SupportChatMessage {self.id} session={self.session_id} role={self.role}>'
class SupportKnowledge(db.Model):
"""Admin-curated knowledge entries injected into the AI support chat's system
prompt (phase38). Lets staff 'train' the chatbot's app knowledge without code
changes — each active entry is appended to the prompt on every chat request."""
__tablename__ = 'support_knowledge'
id = db.Column(db.Integer, primary_key=True)
title = db.Column(db.String(200), nullable=False) # topic / question
content = db.Column(db.Text, nullable=False) # the answer / knowledge
active = db.Column(db.Boolean, nullable=False, default=True)
sort_order = db.Column(db.Integer, nullable=False, default=0)
created_by = db.Column(db.Integer, db.ForeignKey('users.id', ondelete='SET NULL'), nullable=True)
created_at = db.Column(db.DateTime, default=now_eastern, nullable=False)
updated_at = db.Column(db.DateTime, default=now_eastern, nullable=False)
def __repr__(self):
return f'<SupportKnowledge {self.id} "{self.title[:30]}" active={self.active}>'
+199 -25
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@@ -7,12 +7,13 @@ from flask_login import login_required, current_user
from app import db
from app.models.support import (SupportTicket, SupportTicketReply,
SupportChatSession, SupportChatMessage)
SupportChatSession, SupportChatMessage,
SupportKnowledge)
from app.models.user import User
from app.models.facility import Facility
from app.utils.decorators import supervisor_required
from app.utils.scope import get_customer_scope
from app.utils.audit import log_action, ACTION_CREATE, ACTION_UPDATE
from app.utils.audit import log_action, ACTION_CREATE, ACTION_UPDATE, ACTION_DELETE
from app.utils.time_utils import now_eastern
from app.utils.notifications import notify
@@ -22,37 +23,132 @@ logger = logging.getLogger(__name__)
# ── Groq system prompt ────────────────────────────────────────────────────────
_SYSTEM_PROMPT = """\
You are JQC Support, a friendly assistant for customers of JQC (Janitorial Quality Control), \
a commercial cleaning quality management platform.
You are JQC Support, a friendly assistant for CUSTOMERS of JQC (Janitorial Quality \
Control), a commercial cleaning quality-management platform used by a janitorial \
service provider and its clients. You help the client (customer) understand and use \
their portal. Only describe what a CUSTOMER can do — do not tell customers they can \
perform staff-only actions (assigning issues, running inspections, editing templates, \
managing users, notification matrix, etc.).
Help customers with:
- Navigating the portal: Dashboard, Inspections, Issues, Reports pages
- Inspection scores: 90%+ = Excellent, 70-89% = Satisfactory, below 70% = Needs Improvement
- SLA timelines: Critical issues = 4 h, High = 24 h, Medium = 72 h, Low = 168 h
- Issue statuses: Open → In Progress → Pending Verification → Resolved
- Following issues to receive email/in-app update notifications
- Reporting new cleaning concerns via the Issues > Log Issue page
- Understanding facility scorecards and trend charts in Reports
=== WHAT JQC DOES ===
The janitorial provider performs quality inspections of the customer's facilities \
against checklist templates, tracks any problems ("issues"), and shares scores and \
reports. Work is organized as: Contracts → Facilities → Areas. A customer only sees \
the facilities they are assigned to.
Rules:
- Keep answers concise (3-5 sentences max) and friendly.
- Never invent specific staff names, contract prices, schedules, or contact numbers.
- If the customer has an access problem, billing question, or a concern you genuinely \
cannot resolve through guidance, say so clearly and suggest they click \
"Submit to Support" to reach the admin team directly.\
=== CUSTOMER PORTAL NAVIGATION ===
- Dashboard: at-a-glance cards — open issues (split by who handles them), issues \
opened/resolved today, recent inspections, and a "Your Facilities" panel with search.
- Facilities: the customer's assigned facilities; open one to see its details, areas, \
scorecard, and QR code.
- Inspections: completed and in-progress inspections at their facilities, with scores; \
open one to see the checklist results and any flagged issues.
- Issues: all cleaning issues at their facilities; filter by status, severity, facility, \
date. Customers can log a new issue here.
- Reports: facility scorecards, score trends, "Avg Score by Facility" (filterable by \
Contract), and downloadable PDF summaries.
- Support: this AI chat (Ask a Question), My Conversations (saved chats), and \
My Requests (support tickets they submitted).
=== INSPECTION SCORES ===
Each completed inspection has an overall score (0100%). Interpretation:
- 90%+ = Excellent, 8089% = Good, 7079% = Fair/Satisfactory, below 70% = Needs Improvement.
Scorecards and the Reports page show a facility's average score and its trend over time. \
Note: checklist items left unanswered (score 0) are excluded from the average.
=== ISSUES ===
- Lifecycle (status): Open → In Progress → Pending Verification → Resolved.
- Severity: Critical, High, Medium, Low — this drives the SLA (resolution target).
- "Handled By" tells you who is resolving it:
* Janitorial Staff — the cleaning provider's own crew.
* Facility Staff — the facility's own on-site staff are handling it.
* External Vendor — an outside contractor was engaged.
In every case a member of the provider's team stays responsible for following up and \
verifying the fix.
- A customer can LOG a new issue (Issues → Log Issue / "Report a cleaning concern"): \
pick the facility, describe the problem, set severity, optionally attach a photo. \
Customers cannot assign issues to staff — the provider triages them.
- FOLLOW an issue (the Follow button on the issue page) to get email + in-app \
notifications whenever its status changes. Customers can also comment on issues they \
reported or follow.
=== SLA (resolution targets by severity) ===
Critical = 4 hours, High = 24 hours, Medium = 72 hours, Low = 168 hours (7 days). \
These are targets measured from when the issue was reported; the system flags issues \
that are at risk of, or have passed, their SLA.
=== FACILITY QR CODES ===
Every facility has a printable QR code (from the facility's page, or "Print All QR \
Codes" on the Facilities page). Anyone can scan it — no login — to see the facility's \
recent cleaning quality and to "Report a Problem" (which files an issue). Customers can \
view, print, and regenerate their facilities' QR codes; regenerating invalidates any \
previously printed code, so it must be reprinted.
=== NOTIFICATIONS ===
Customers get in-app (bell icon) and email notifications for relevant events — e.g. an \
inspection completed at their facility, or updates on issues they follow/reported. \
Notification Preferences let a customer turn specific email types off or switch to a \
digest.
=== GETTING HUMAN HELP ===
If the customer needs something this chat can't resolve — an access/login problem, a \
billing question, a specific scheduling request, or a concern that needs a person — tell \
them clearly and point them to the "Submit to Support" button (top of the chat), which \
opens a request that the provider's admin team answers by email and in "My Requests".
=== STYLE & RULES ===
- Be concise, warm, and practical. Prefer short paragraphs or numbered steps.
- Ground answers in the features above. If you are not sure or the app may differ, say \
so honestly rather than guessing — and suggest "Submit to Support".
- NEVER invent specific staff names, contract prices, cleaning schedules, phone numbers, \
facility data, or scores. You do not have access to the customer's live data — guide \
them to where to find it in the portal instead.
- Do not claim to perform actions yourself; explain where in the portal the customer does it.\
"""
# Preset FAQ questions shown as quick-reply chips on first load
FAQS = [
{'icon': 'bi-clipboard-check', 'text': 'How do I view my inspection reports?'},
{'icon': 'bi-graph-up', 'text': 'What do inspection scores mean?'},
{'icon': 'bi-exclamation-circle','text': 'How do I track an open issue?'},
{'icon': 'bi-megaphone', 'text': 'How do I report a cleaning concern?'},
{'icon': 'bi-alarm', 'text': 'What is SLA and how does it work?'},
{'icon': 'bi-bell', 'text': 'How do I get notified on issue updates?'},
{'icon': 'bi-clipboard-check', 'text': 'How do I view my inspection reports?'},
{'icon': 'bi-graph-up', 'text': 'What do inspection scores mean?'},
{'icon': 'bi-exclamation-circle','text': 'How do I track or follow an issue?'},
{'icon': 'bi-megaphone', 'text': 'How do I report a cleaning concern?'},
{'icon': 'bi-alarm', 'text': 'What is SLA and how does it work?'},
{'icon': 'bi-people', 'text': 'What does "Handled By" mean on an issue?'},
{'icon': 'bi-qr-code', 'text': "How do I print my facility's QR code?"},
{'icon': 'bi-bell', 'text': 'How do I get notified on issue updates?'},
]
# Soft cap on injected knowledge to keep prompt size (and token cost) reasonable.
_KB_MAX_CHARS = 6000
def _system_prompt_with_kb():
"""Return the base system prompt plus all ACTIVE admin knowledge entries
(phase38), so staff can curate the chatbot's knowledge without code changes.
Best-effort — a KB failure never breaks the chat."""
prompt = _SYSTEM_PROMPT
try:
entries = (SupportKnowledge.query
.filter_by(active=True)
.order_by(SupportKnowledge.sort_order.asc(), SupportKnowledge.id.asc())
.all())
if entries:
parts = ["\n\n=== ADDITIONAL KNOWLEDGE (curated by the JQC team; "
"treat as authoritative and prefer it over general guesses) ==="]
total = 0
for e in entries:
block = f"\n\nTopic: {e.title}\n{e.content.strip()}"
if total + len(block) > _KB_MAX_CHARS:
break
parts.append(block)
total += len(block)
prompt += ''.join(parts)
except Exception as exc:
logger.warning('SUPPORT | knowledge-base load failed: %s', exc)
return prompt
# ── Customer chat page ────────────────────────────────────────────────────────
@bp.route('/chat')
@@ -117,7 +213,7 @@ def chat_message():
from groq import Groq
client = Groq(api_key=api_key)
messages = [{'role': 'system', 'content': _SYSTEM_PROMPT}]
messages = [{'role': 'system', 'content': _system_prompt_with_kb()}]
# Append prior conversation (cap at last 20 turns to control token usage)
for m in history[-20:]:
if m.get('role') in ('user', 'assistant') and m.get('content'):
@@ -416,6 +512,84 @@ def admin_conversation_detail(session_id):
session=session, messages=messages)
# ── Admin: AI chatbot Knowledge Base ──────────────────────────────────────────
@bp.route('/admin/knowledge')
@login_required
@supervisor_required
def admin_knowledge():
entries = (SupportKnowledge.query
.order_by(SupportKnowledge.sort_order.asc(), SupportKnowledge.id.asc())
.all())
groq_ready = bool(os.environ.get('GROQ_API_KEY'))
return render_template('support/admin_knowledge.html',
entries=entries, groq_ready=groq_ready)
@bp.route('/admin/knowledge/new', methods=['GET', 'POST'])
@login_required
@supervisor_required
def admin_knowledge_new():
from app.utils.forms import SupportKnowledgeForm
form = SupportKnowledgeForm()
if form.validate_on_submit():
entry = SupportKnowledge(
title = form.title.data.strip(),
content = form.content.data.strip(),
sort_order = form.sort_order.data or 0,
active = form.active.data,
created_by = current_user.id,
created_at = now_eastern(),
updated_at = now_eastern(),
)
db.session.add(entry)
db.session.commit()
log_action(ACTION_CREATE, 'SupportKnowledge', entry.id, entry.title[:60])
flash('Knowledge entry added. The chatbot will use it immediately.', 'success')
return redirect(url_for('support.admin_knowledge'))
return render_template('support/admin_knowledge_form.html',
form=form, title='New Knowledge Entry')
@bp.route('/admin/knowledge/<int:entry_id>/edit', methods=['GET', 'POST'])
@login_required
@supervisor_required
def admin_knowledge_edit(entry_id):
from app.utils.forms import SupportKnowledgeForm
entry = db.session.get(SupportKnowledge, entry_id)
if entry is None:
abort(404)
form = SupportKnowledgeForm(obj=entry)
if form.validate_on_submit():
entry.title = form.title.data.strip()
entry.content = form.content.data.strip()
entry.sort_order = form.sort_order.data or 0
entry.active = form.active.data
entry.updated_at = now_eastern()
db.session.commit()
log_action(ACTION_UPDATE, 'SupportKnowledge', entry.id, entry.title[:60])
flash('Knowledge entry updated.', 'success')
return redirect(url_for('support.admin_knowledge'))
return render_template('support/admin_knowledge_form.html',
form=form, title='Edit Knowledge Entry', entry=entry)
@bp.route('/admin/knowledge/<int:entry_id>/delete', methods=['POST'])
@login_required
@supervisor_required
def admin_knowledge_delete(entry_id):
entry = db.session.get(SupportKnowledge, entry_id)
if entry is None:
abort(404)
label = entry.title[:60]
eid = entry.id
db.session.delete(entry)
db.session.commit()
log_action(ACTION_DELETE, 'SupportKnowledge', eid, label)
flash('Knowledge entry deleted.', 'success')
return redirect(url_for('support.admin_knowledge'))
def _notify_customer_reply(ticket, reply):
"""Create an in-app notification and send an email to the customer."""
if not ticket.customer:
@@ -0,0 +1,85 @@
{% extends "base.html" %}
{% block title %}Chatbot Knowledge Base{% endblock %}
{% block content %}
<div class="d-flex justify-content-between align-items-center mb-3 flex-wrap gap-2">
<div>
<h4 class="mb-0"><i class="bi bi-robot me-2 text-primary"></i>Chatbot Knowledge Base</h4>
<small class="text-muted">Curate what the AI support assistant knows about the app. Active entries are used on every chat.</small>
</div>
<div class="d-flex gap-2">
<a href="{{ url_for('support.admin_tickets') }}" class="btn btn-outline-secondary btn-sm">
<i class="bi bi-life-preserver me-1"></i>Support Tickets
</a>
<a href="{{ url_for('support.admin_knowledge_new') }}" class="btn btn-primary btn-sm">
<i class="bi bi-plus-circle me-1"></i>Add Entry
</a>
</div>
</div>
{% if not groq_ready %}
<div class="alert alert-warning py-2">
<i class="bi bi-exclamation-triangle"></i>
The AI assistant is not configured (<code>GROQ_API_KEY</code> is not set), so these entries won't be used until it is enabled.
</div>
{% endif %}
<div class="card shadow-sm">
<div class="card-body p-0">
{% if entries %}
<div class="table-responsive">
<table class="table table-hover mb-0 align-middle">
<thead class="table-light">
<tr>
<th style="width:60px;">Order</th>
<th>Topic / Question</th>
<th>Answer (preview)</th>
<th class="text-center">Status</th>
<th class="text-end"></th>
</tr>
</thead>
<tbody>
{% for e in entries %}
<tr class="{{ '' if e.active else 'text-muted' }}">
<td>{{ e.sort_order }}</td>
<td class="fw-semibold">{{ e.title }}</td>
<td class="small text-muted text-truncate" style="max-width:360px;">
{{ e.content[:120] }}{% if e.content|length > 120 %}…{% endif %}
</td>
<td class="text-center">
{% if e.active %}
<span class="badge bg-success">Active</span>
{% else %}
<span class="badge bg-secondary">Inactive</span>
{% endif %}
</td>
<td class="text-end text-nowrap">
<a href="{{ url_for('support.admin_knowledge_edit', entry_id=e.id) }}"
class="btn btn-sm btn-outline-primary"><i class="bi bi-pencil"></i></a>
<form method="POST" class="d-inline"
action="{{ url_for('support.admin_knowledge_delete', entry_id=e.id) }}"
onsubmit="return confirm('Delete this knowledge entry?');">
<input type="hidden" name="csrf_token" value="{{ csrf_token() }}">
<button type="submit" class="btn btn-sm btn-outline-danger"><i class="bi bi-trash"></i></button>
</form>
</td>
</tr>
{% endfor %}
</tbody>
</table>
</div>
{% else %}
<div class="p-4 text-muted text-center">
No knowledge entries yet.
<a href="{{ url_for('support.admin_knowledge_new') }}">Add your first one</a> to teach the chatbot about your app.
</div>
{% endif %}
</div>
</div>
<p class="text-muted small mt-2">
<i class="bi bi-info-circle"></i>
Tip: write each entry as a clear topic and a concise, factual answer (steps work well).
Keep entries accurate — the assistant treats them as authoritative.
</p>
{% endblock %}
@@ -0,0 +1,50 @@
{% extends "base.html" %}
{% block title %}{{ title }}{% endblock %}
{% block content %}
<div class="row justify-content-center">
<div class="col-lg-8">
<div class="card shadow-sm">
<div class="card-header bg-light"><h5 class="mb-0">{{ title }}</h5></div>
<div class="card-body">
<form method="POST" novalidate>
{{ form.hidden_tag() }}
<div class="mb-3">
{{ form.title.label(class="form-label fw-semibold") }}
{{ form.title(class="form-control", placeholder="e.g. How do customers reset their password?") }}
{% for e in form.title.errors %}<div class="text-danger small">{{ e }}</div>{% endfor %}
</div>
<div class="mb-3">
{{ form.content.label(class="form-label fw-semibold") }}
{{ form.content(class="form-control", rows=8,
placeholder="Write a concise, factual answer the assistant should know. Steps and specifics work best.") }}
{% for e in form.content.errors %}<div class="text-danger small">{{ e }}</div>{% endfor %}
<div class="form-text">Plain text. This is injected into the chatbot's knowledge on every conversation.</div>
</div>
<div class="row">
<div class="col-md-4 mb-3">
{{ form.sort_order.label(class="form-label fw-semibold") }}
{{ form.sort_order(class="form-control") }}
<div class="form-text">Lower numbers appear first.</div>
</div>
<div class="col-md-8 mb-3 d-flex align-items-end">
<div class="form-check">
{{ form.active(class="form-check-input") }}
{{ form.active.label(class="form-check-label") }}
</div>
</div>
</div>
<div class="d-flex gap-2">
<button type="submit" class="btn btn-primary">Save</button>
<a href="{{ url_for('support.admin_knowledge') }}" class="btn btn-outline-secondary">Cancel</a>
</div>
</form>
</div>
</div>
</div>
</div>
{% endblock %}
+8 -3
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@@ -7,9 +7,14 @@
<h4 class="mb-0"><i class="bi bi-inbox me-2 text-primary"></i>Customer Support Tickets</h4>
<small class="text-muted">{{ tickets.total }} ticket{{ 's' if tickets.total != 1 }}</small>
</div>
<a href="{{ url_for('support.admin_conversations') }}" class="btn btn-outline-secondary btn-sm">
<i class="bi bi-chat-left-dots me-1"></i>Chat Conversations
</a>
<div class="d-flex gap-2">
<a href="{{ url_for('support.admin_conversations') }}" class="btn btn-outline-secondary btn-sm">
<i class="bi bi-chat-left-dots me-1"></i>Chat Conversations
</a>
<a href="{{ url_for('support.admin_knowledge') }}" class="btn btn-outline-secondary btn-sm">
<i class="bi bi-robot me-1"></i>Chatbot Knowledge
</a>
</div>
</div>
{# Status filter tabs #}
+9
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@@ -334,3 +334,12 @@ class ScheduledInspectionForm(FlaskForm):
next_due_date = DateField('Due Date', validators=[DataRequired()])
notes = TextAreaField('Notes', validators=[Optional(), Length(max=1000)])
active = BooleanField('Active', default=True)
# ── Support Knowledge Base (phase38) ─────────────────────────────────────────
class SupportKnowledgeForm(FlaskForm):
title = StringField('Topic / Question', validators=[DataRequired(), Length(max=200)])
content = TextAreaField('Answer / Knowledge', validators=[DataRequired(), Length(max=4000)])
sort_order = IntegerField('Sort Order', validators=[Optional(), NumberRange(min=0, max=9999)], default=0)
active = BooleanField('Active (included in the chatbot)', default=True)