$ show smittix/intercept
iNTERCEPT is a comprehensive web-based signal intelligence and RF monitoring platform built with Flask and a vanilla JavaScript frontend. It integrates over 20 distinct signal decoding modes (ADS‑B, AIS, ACARS, APRS, POCSAG/FLEX pager, SSTV, weather satellites, Bluetooth, WiFi, TSCM, drone detection, and more) into a single unified dashboard with real‑time streaming via SSE and WebSockets. The backend provides an SDR hardware abstraction layer (RTL‑SDR, HackRF, Airspy, LimeSDR, etc.) with device claiming, subprocess management, and a command‑builder pattern. The frontend features mode‑specific JavaScript modules with IIFE lifecycle methods, Leaflet map overlays, and reusable UI components (signal waveform, proximity radar, channel chart). While the primary character is an application, it also incorporates data‑research elements such as a bundled signal identification database, TLE‑based satellite pass prediction, and a heuristic signal‑guessing engine. The repository shows strong engineering with comprehensive test coverage, active maintenance, and several isolated reusable patterns like the SSE fanout system, DataStore cleanup manager, and validation utilities.
The LLM identified 3 files worth highlighting for reuse:
Provides a generic SSE (Server‑Sent Events) streaming utility with a fanout pattern. It creates per‑channel queues, streams items to connected clients with keepalive pings, and handles idle timeouts. This component is used by nearly every mode route (meteor, SSTV, radiosonde, etc.) and could be extracted to any Flask project needing real‑time event delivery over HTTP.
Implements a thread‑safe DataStore class that automatically evicts stale entries based on a configurable TTL, along with a CleanupManager that periodically sweeps multiple DataStores and database tables. This pattern solves a common problem in real‑time monitoring applications (e.g., aircraft, vessels, WiFi devices) and can be reused with minimal adaptation.
Contains a set of pure‑function validation utilities for common RF‑related inputs: frequencies, MAC addresses, latitude/longitude, device indices, gain values, and more. Each function is self‑contained, has no internal dependencies, and returns clear error messages. These validators can be extracted verbatim to any project requiring similar geospatial or RF parameter validation.