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Minimalist, Math-First UI Components for ARF OSS
Designed for engineers, not marketers.
Principles:
- Deterministic layout
- Low visual entropy
- Computational semantics
- OSS-first credibility
"""
import gradio as gr
from typing import List, Dict, Any
# ============================================================
# HEADER
# ============================================================
def create_header() -> gr.HTML:
return gr.HTML(
"""
<div style="font-family: monospace; padding-bottom: 8px;">
<strong>ARF v3.3.6 (OSS)</strong> · Agentic Reliability Engine<br/>
Status: <span style="color: #2ecc71;">READY</span>
</div>
<hr/>
"""
)
# ============================================================
# STATUS BAR
# ============================================================
def create_status_bar() -> gr.HTML:
return gr.HTML(
"""
<div style="font-family: monospace; font-size: 13px;">
core=active | mode=oss | audit=enabled
</div>
"""
)
# ============================================================
# TAB 1 — INCIDENT INPUT & EXECUTION
# ============================================================
def create_tab1_incident_demo():
with gr.Column():
gr.Markdown("### 1. Incident Input", elem_classes=["mono"])
scenario = gr.Dropdown(
label="Incident Scenario",
choices=[
"cache_miss_storm",
"database_connection_leak",
"api_rate_limit_spike",
"memory_pressure_event",
],
value="cache_miss_storm",
)
mode = gr.Radio(
label="Execution Mode",
choices=["advisory", "approval", "autonomous"],
value="advisory",
)
gr.Markdown("### 2. Execute Analysis")
run_btn = gr.Button("Run Analysis", variant="primary")
return {
"scenario": scenario,
"mode": mode,
"run_btn": run_btn,
}
# ============================================================
# TAB 2 — BUSINESS IMPACT (OSS SAFE)
# ============================================================
def create_tab2_business_roi():
with gr.Column():
gr.Markdown("### Estimated Impact (Model-Derived)")
output = gr.Markdown(
"""
Loss Rate: $0 / hour
Recovery Time: N/A
Confidence Interval: N/A
""",
elem_classes=["mono"],
)
return {"roi_output": output}
# ============================================================
# TAB 3 — ENTERPRISE FEATURES (LOCKED)
# ============================================================
def create_tab3_enterprise_features():
with gr.Column():
gr.Markdown("### Enterprise Capabilities (Unavailable in OSS)")
gr.Markdown(
"""
- Autonomous execution
- Multi-agent arbitration
- Policy enforcement
- SLA-backed recovery
_This OSS build exposes intent only._
""",
elem_classes=["mono"],
)
# ============================================================
# TAB 4 — AUDIT TRAIL
# ============================================================
def create_tab4_audit_trail():
with gr.Column():
gr.Markdown("### Execution Trace")
audit_log = gr.Dataframe(
headers=["phase", "status", "Δt (ms)"],
datatype=["str", "str", "number"],
row_count=5,
)
return {"audit_log": audit_log}
# ============================================================
# TAB 5 — LEARNING ENGINE
# ============================================================
def create_tab5_learning_engine():
with gr.Column():
gr.Markdown("### Learning Engine State")
gr.Markdown(
"""
memory_vectors: enabled
outcome_feedback: passive
model_updates: disabled (OSS)
""",
elem_classes=["mono"],
)
# ============================================================
# FOOTER
# ============================================================
def create_footer() -> gr.HTML:
return gr.HTML(
"""
<hr/>
<div style="font-family: monospace; font-size: 12px;">
ARF OSS · Apache-2.0 · 2025
</div>
"""
)
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