Nsfs-338-rm-javhd.today01-45-23 Min -

| Metric | Target (3 months) | |--------|-------------------| | (MAE) | ≤ 4 % across all key metrics | | Adaptation Latency | ≤ 150 ms from forecast crossing threshold to command issued | | User Adoption (active “What‑If” sessions per day) | ≥ 30 % of operators use it daily | | Alert Reduction (manual alerts) | ↓ 40 % vs baseline | | System Uptime (post‑deployment) | ≥ 99.7 % |

# ----- Input schema ----- class WhatIfRequest(BaseModel): recent_windows: list[float] # last 45 minute‑averages hypothetical_delta: float = 0.0 # e.g., +10% buffer size nsfs-338-rm-javhd.today01-45-23 Min

A single file, buried in a forgotten folder. Timestamped at 01:45:23. A runtime of exactly 45 minutes and 23 seconds. No cover art. No synopsis. Just the code: NSFS-338 . No cover art

| Layer | Tech Stack (suggested) | Responsibilities | |-------|------------------------|------------------| | | C/C++ firmware → MQTT/CoAP → TLS | Capture raw sensor/metric streams at ≤ 1 Hz and push to the cloud gateway. | | Streaming Processor | Apache Flink / Kafka Streams (Java) | Windowed aggregation (1‑minute tumbling windows) → compute features (Δ, trend, volatility). | | Predictive Engine | Python (Prophet, LightGBM) or TensorFlow Lite (if on‑device) | Hybrid model : • Statistical (Prophet) for seasonality (daily patterns). • ML (gradient‑boosted trees) for short‑term spikes. | | Adaptive Controller | Rust (low‑latency) + gRPC | Takes model output, decides if a parameter tweak (e.g., fan speed, bitrate) is needed, and issues the command back to the device. | | API Layer | FastAPI (Python) + OpenAPI spec | Exposes /forecast , /what‑if , /pulse-card . | | Front‑End UI | React + D3.js + Tailwind | • Live sparkline of the next 45 min. • “What‑If” slider overlay. • Pulse Card badge (green/yellow/red). | | Observability | Prometheus + Grafana + Loki | Metrics: model latency, forecast error, adaptation actions. Alerts if error > 5 % for > 3 min. | | Layer | Tech Stack (suggested) | Responsibilities

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