Release v0.9.224

Automated sync from private repository. Built with obfuscation enabled.
2026-08-09 18:32:48 +02:00 · 2026-02-07 00:48:44 +00:00
parent 9a61dcd061
commit 371d13feb5
127 changed files with 331 additions and 376 deletions
@@ -3,32 +3,78 @@
 [![GitHub Release](https://img.shields.io/github/v/release/dmduran12/pymc_console-dist)](https://github.com/dmduran12/pymc_console-dist/releases)
 [![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](LICENSE)

-A modern web dashboard for monitoring and managing your [MeshCore](https://meshcore.co.uk/) LoRa mesh repeater.
+A real-time web dashboard for [MeshCore](https://meshcore.co.uk/) LoRa mesh repeaters.

-Built on [pyMC_Repeater](https://github.com/rightup/pyMC_Repeater) by [RightUp](https://github.com/rightup), pyMC Console provides real-time visibility into your mesh network with an intuitive, feature-rich interface.
+pyMC Console gives you full visibility into your mesh network — packet flow, topology, signal quality, RF metrics, and radio configuration — through a single browser tab. It layers on top of [pyMC_Repeater](https://github.com/rightup/pyMC_Repeater) without modifying it.

+---

-## How It All Fits Together
+## Quick Start

-The MeshCore Python ecosystem has three components:
+### Requirements
+
+- Raspberry Pi (3, 4, 5, or Zero 2 W)
+- LoRa radio module (SX1262 or SX1276)
+- Raspberry Pi OS (Bookworm recommended)
+
+### Install
+
+```bash
+git clone https://github.com/dmduran12/pymc_console-dist.git pymc_console
+cd pymc_console
+sudo bash manage.sh install
+```
+
+During installation you'll be prompted to select a pyMC_Repeater branch — **choose `dev`** (the default). The `dev` branch has the latest features and is the recommended target.
+
+The installer handles everything:
+
+1. System dependencies (Python, pip, SPI tools)
+2. Clones and installs [pyMC_Repeater](https://github.com/rightup/pyMC_Repeater) + [pyMC_core](https://github.com/rightup/pyMC_core)
+3. Deploys the Console web dashboard
+4. Configures and starts the systemd service
+
+Once complete, open `http://<your-pi-ip>:8000` in a browser.
+
+### Upgrade
+
+```bash
+cd pymc_console
+sudo bash manage.sh upgrade
+```
+
+Choose **Console only** (updates just the dashboard) or **Full Stack** (updates Console + pyMC_Repeater + pyMC_core). Console-only upgrades are safe and fast — your repeater config is untouched.
+
+### Uninstall
+
+```bash
+cd pymc_console
+sudo bash manage.sh
+```
+
+Select **Uninstall** from the menu. Removes all installed files, config, logs, and the systemd service.
+
+---
+
+## How It Fits Together

 ```
 ┌─────────────────────────────────────────────────────────────┐
 │                      pyMC Console                           │
-│            (this repo - web dashboard UI)                   │
+│            (this repo — web dashboard UI)                   │
 │                                                             │
-│  • React dashboard served on port 8000                      │
-│  • Visualizes packets, topology, stats                      │
+│  • React SPA served on port 8000                            │
+│  • Real-time packets, topology, stats, radio config         │
 │  • manage.sh installer handles everything                   │
 └─────────────────────┬───────────────────────────────────────┘
                      │ uses API from
 ┌─────────────────────▼───────────────────────────────────────┐
-│                    pyMC_Repeater                            │
-│           (RightUp's repeater daemon)                       │
+│                    pyMC_Repeater                             │
+│            (RightUp's repeater daemon)                      │
 │                                                             │
-│  • Python daemon that runs the repeater                     │
-│  • Provides REST API on port 8000                           │
-│  • Handles packet forwarding, logging, config               │
+│  • Python daemon running the LoRa repeater                  │
+│  • REST API + WebSocket on port 8000                        │
+│  • Packet forwarding, logging, radio control                │
 └─────────────────────┬───────────────────────────────────────┘
                      │ built on
 ┌─────────────────────▼───────────────────────────────────────┐
@@ -42,150 +88,99 @@ The MeshCore Python ecosystem has three components:
 ```

 **Key points:**
- **Console does NOT replace Repeater** — they work together
- Console's `manage.sh` installs both Repeater and Console side-by-side
- Console provides the web UI; Repeater provides the backend API and radio control
- You can upgrade Console independently without touching Repeater/Core
+- Console does **not** replace Repeater — they work together
+- `manage.sh` installs both Repeater and Console side-by-side
+- You can upgrade Console independently without touching Repeater

-## Feature Highlights
+---

-### 🗺️ Mesh Topology Analysis
+## Features

-The topology analyzer reconstructs your network's structure from packet paths using a **Viterbi HMM decoder** — resolving prefix collisions with physics-based constraints and observation evidence.
+### Topology Analysis
+
+Reconstructs your network's structure from packet paths using a **Viterbi HMM decoder** — resolving prefix collisions with physics-based RF constraints and real-world observation evidence.

 ![Topology Analysis](docs/images/analyzer-overview.gif)

- **Deep Analysis** — One-click full topology rebuild from 75K packets
- **Viterbi HMM decoding** — Hidden Markov Model resolves prefix collisions using geographic distance and LoRa range constraints
- **Ghost node discovery** — Detects unknown repeaters when no known candidate is geographically plausible
- **3D terrain mode** — Real-world topographic terrain with hillshading; markers and edges drape onto the landscape
- **3D arc edges** — Topology edges rendered as elevated arcs via deck.gl (GPU-accelerated)
- **Edge confidence visualization** — Line thickness scales with observation count; color indicates certainty
- **Wardriving overlay** — H3 hexagonal tiles from coverage servers with SNR-based coloring
+- **One-click Deep Analysis** from up to 14 days of packet history
+- **Viterbi HMM decoding** — resolves 2-char prefix collisions using geographic distance and LoRa range constraints
+- **Ghost node discovery** — detects unknown repeaters when no known candidate fits
+- **7-phase topology pipeline** — directional edges, betweenness centrality, mobile detection, TX delay recommendations, path health scoring
+- **3D terrain** — AWS Terrarium elevation with hillshading; markers and edges drape onto the landscape
+- **Wardriving overlay** — H3 hexagonal coverage tiles with SNR-based coloring
+- **Edge confidence** — line thickness scales with observation count; color indicates certainty

-### 📡 Link Quality Radar
+### Link Quality Radar

-The polar chart visualizes all contacts at their actual compass bearing and distance from your node.
+Polar chart placing all contacts at their actual compass bearing and distance from your node.

 ![Link Quality Polar](docs/images/linkquality-demo.gif)

- **Zero-hop neighbors** — Colored by SNR quality (green → yellow → orange → red)
- **Non-neighbors** — Rendered at 33% opacity to distinguish direct RF contacts
- **Hover interaction** — Full opacity with detailed signal metrics tooltip
+- **Zero-hop neighbors** colored by SNR (green → yellow → orange → red)
+- **Multi-hop contacts** at 33% opacity to distinguish direct RF from relayed
+- **Hover tooltips** with full signal metrics (RSSI, SNR, distance, last seen)

-### 📊 Statistics Dashboard
+### Statistics Dashboard

 Comprehensive RF metrics and network composition analysis.

 ![Statistics View](docs/images/statsview-expose.gif)

- **Airtime utilization** — RX/TX spectrum with peak and mean metrics
- **Packet types treemap** — Distribution of ADVERT, TXT_MSG, ACK, RESPONSE, etc.
- **Network composition** — Breakdown of repeaters, companions, and room servers
- **RF noise floor** — Heatmap showing interference patterns over time
- **Prefix disambiguation health** — Confidence metrics for topology inference
+- **Airtime utilization** — RX/TX stacked area charts with peak and mean metrics
+- **Packet type distribution** — treemap of ADVERT, TXT_MSG, ACK, TRACE, etc.
+- **Network composition** — repeater / companion / room server breakdown
+- **Noise floor heatmap** — interference patterns over time
+- **Disambiguation health** — Viterbi confidence metrics and ghost node stats
+- **TX delay recommendations** — slot-based timing optimization per node role

-### 🛤️ Packet Path Tracing
+### Packet Path Tracing

-Click any packet to visualize its route through the mesh with hop-by-hop confidence indicators.
+Click any packet to visualize its route through the mesh with hop-by-hop confidence.

 ![Path Trace Demo](docs/images/trace-demo.gif)

- **Confidence coloring** — Green (100%), Yellow (50-99%), Orange (25-49%), Red (<25%), Gray (ghost node)
- **Interactive map** — Shows the resolved path with all intermediate hops
- **Signal details** — RSSI, SNR, and timing for each packet
+- **Confidence coloring** — Green (100%), Yellow (50–99%), Orange (25–49%), Red (<25%), Gray (ghost)
+- **Interactive map** showing resolved path with intermediate hops
+- **Signal details** — RSSI, SNR, and timing per packet
+- **Byte-level breakdown** — header fields, payload structure, raw hex

-### 🎨 Themes & Terminal
+### Themes & Terminal

-Six color schemes and a built-in terminal for direct repeater interaction.
+Two polished color schemes and a built-in CLI for direct repeater interaction.

 ![Themes and Terminal](docs/images/terminal-and-themes.gif)

- **Color schemes** — Seoul256, Gruvbox, Deus, Gotham, Sonokai, Kanagawa
- **Background images** — Multiple ambient backgrounds with adjustable brightness
- **Terminal** — Direct CLI access to the repeater for advanced operations
- **Live logs** — Stream from repeater daemon with DEBUG/INFO toggle
+- **Breeze Dark / Breeze Light** — KDE Breeze-inspired themes with full design token system
+- **Terminal** — interactive CLI mapped to API endpoints (get/set radio, ping, diagnostics)
+- **Packet capture** — `start cap` / `end cap` / `export cap` for timed diagnostic snapshots
+- **Live logs** — streaming from repeater with DEBUG/INFO toggle

 ---

-## All Features
+## All Pages at a Glance

-### Dashboard
- **Live packet metrics** — Received, forwarded, dropped packets with sparkline charts
- **TX Delay Recommendations** — Slot-based delay optimization with network role classification (edge/relay/hub/backbone)
- **LBT Insights widgets** — Channel health, collision risk, noise floor, link quality at a glance
- **Time range selector** — View stats from 20 minutes to 14 days
- **Recent packets** — Live feed of incoming traffic with centralized polling (every 3s)
+| Page | Route | What it does |
+|------|-------|-------------|
+| **Dashboard** | `/` | Live packet counters, sparkline trends, LBT widgets, recent packets |
+| **Packets** | `/packets` | Searchable packet history with detail modal, path visualization, byte breakdown |
+| **Contacts** | `/contacts` | MapLibre GL map with topology edges, ghost nodes, terrain, wardriving overlay |
+| **Statistics** | `/statistics` | µPlot charts — airtime, packet types, noise floor, signal scatter, network composition |
+| **Mesh Graph** | `/meshgraph` | GPU-accelerated force-directed graph (Cosmograph) |
+| **System** | `/system` | CPU, memory, disk, temperature, processes, network I/O |
+| **Logs** | `/logs` | Live log stream with level filtering |
+| **Terminal** | `/terminal` | Interactive CLI — MeshCore commands, ping, diagnostics, captures |
+| **Configuration** | `/configuration` | Radio settings, TX delays, transport keys, identity, theme, stealth location |

-### Contacts & Topology
- **Interactive map** — MapLibre GL with dark theme, smooth animations
- **Filter toggles** — Solo view for hub nodes, direct neighbors, or traffic-based filtering
- **Loop detection** — Identifies redundant paths (double-line rendering)
- **High-contrast markers** — Light fill with dark outline ensures visibility against any overlay
- **Path health panel** — Health scores, weakest links, and latency estimates
- **Mobile node detection** — Identifies volatile nodes that appear/disappear frequently
+---

-### Packets
- **Searchable history** — Filter by type, route, time range
- **Packet details** — Hash, path, payload, signal info, duplicates
- **Path visualization** — Interactive map showing packet route with hop confidence
+## Management

-### Settings
- **Mode toggle** — Forward (repeating) or Monitor (RX only)
- **Duty cycle** — Enable/disable enforcement
- **Radio config** — Live frequency, power, SF, bandwidth changes
-
-### System & Logs
- **System resources** — 20-minute rolling CPU and memory utilization chart
- **Disk usage** — Storage utilization with progress bar
- **Temperature** — Multi-sensor temperature gauges with threshold coloring
-
-## Quick Start
-
-### Requirements
-
- Raspberry Pi (3, 4, 5, or Zero 2 W)
- LoRa module (SX1262 or SX1276 based)
- Raspbian/Raspberry Pi OS (Bookworm recommended)
-
-### Installation
+### manage.sh Menu

 ```bash
-# Clone this repository
-git clone https://github.com/dmduran12/pymc_console-dist.git pymc_console
-cd pymc_console
-
-# Run the installer (requires sudo)
-sudo bash manage.sh install
+sudo bash manage.sh
 ```

-> **Note: Branch Selection**
->
-> During installation, you'll be asked to select a pyMC_Repeater branch. **Select `dev`** (the default/recommended option). The `dev` branch contains the latest features and improvements.
->
-
-
-The installer will:
-1. Install all system dependencies (Python, pip, etc.)
-2. Clone and install [pyMC_Repeater](https://github.com/rightup/pyMC_Repeater) as a sibling directory
-3. Install [pyMC_core](https://github.com/rightup/pyMC_core) (the protocol library)
-4. Deploy the Console web dashboard
-5. Configure and start the systemd service
-
-**After installation, your directory structure looks like:**
-```
-~/pymc_console/       ← Console (this repo)
-~/pyMC_Repeater/      ← Repeater daemon (cloned by installer)
-/opt/pymc_repeater/   ← Installed repeater files
-/opt/pymc_console/    ← Installed console files
-```
-
-Once complete, access your dashboard at `http://<your-pi-ip>:8000`
-
-## Management Menu
-
-After installation, run `sudo bash manage.sh` to access the management menu:
-
 ```
 ┌────────────────────────────────────────────────┐
 │  pyMC Console                                  │
@@ -200,15 +195,13 @@ After installation, run `sudo bash manage.sh` to access the management menu:
 └────────────────────────────────────────────────┘
 ```

-### Menu Options
+- **Install** — Full Stack or Console-only
+- **Upgrade** — Console-only (fast, safe) or Full Stack (Console + Repeater + Core)
+- **Uninstall** — Removes everything (installation, config, logs, service)
+- **Status** — Installed versions of Core, Repeater, Console
+- **Logs** — Live journal output from the repeater

- **Install** — Fresh installation (Full Stack or Console-only)
- **Upgrade** — Update Console dashboard and/or full pyMC stack
- **Uninstall** — Remove Console, Repeater, and cloned repos
- **Status** — Show installed versions (Core, Repeater, Console)
- **Logs** — Live log output from the repeater
-
-### Radio/GPIO Configuration
+### Radio & GPIO Configuration

 Radio and GPIO settings are managed by upstream pyMC_Repeater:

@@ -216,225 +209,208 @@ Radio and GPIO settings are managed by upstream pyMC_Repeater:
 cd ~/pyMC_Repeater && sudo ./manage.sh
 ```

-## Upgrading
-
-To update to the latest version:
-
-```bash
-cd pymc_console
-sudo bash manage.sh upgrade
-```
-
-Or use the interactive menu and select **Upgrade**, then choose:
- **Console only** — Updates just the web dashboard (quick, safe)
- **Full Stack** — Updates Console + pulls latest pyMC_Repeater/pyMC_core
-
-**Note:** You can safely upgrade Console without affecting your Repeater installation. This is useful when you want new dashboard features but your repeater is running stable.
-
-The script auto-updates itself before upgrading, so you always get the latest installer.
-
-## Configuration
-
-### Radio Settings
-
-Radio configuration is handled by upstream pyMC_Repeater. Use their management script:
-
-```bash
-cd ~/pyMC_Repeater && sudo ./manage.sh
-```
-
 Or edit the config directly:
+
 ```yaml
+# /etc/pymc_repeater/config.yaml
 radio:
-  frequency: 927875000      # Frequency in Hz
-  spreading_factor: 7       # SF7-SF12
-  bandwidth: 62500          # Bandwidth in Hz  
-  tx_power: 28              # TX power in dBm
-  coding_rate: 6            # 4/5, 4/6, 4/7, or 4/8
+  frequency: 927875000      # Hz
+  spreading_factor: 7       # SF7–SF12
+  bandwidth: 62500          # Hz
+  tx_power: 28              # dBm
+  coding_rate: 6            # 4/5, 4/6, 4/7, 4/8
 ```

-### Advanced: DIO2 and DIO3 Configuration
+> You can also change radio settings live from the **Configuration** page in the dashboard — no SSH required.

-Some LoRa modules require specific DIO pin configurations. These are **independent settings** that serve different purposes:
+### DIO2 / DIO3 Pin Configuration

- **DIO3 (TCXO)** — Temperature Compensated Crystal Oscillator control. Set `use_dio3_tcxo: true` if your module has a TCXO that needs DIO3 for voltage supply.
- **DIO2 (RF Switch)** — Antenna RF switch control for TX/RX path switching. Set `use_dio2_rf: true` if your module requires DIO2 to control an external RF switch.
+Some LoRa modules need specific DIO pin settings. These are **independent** — enabling one does not affect the other:

-> **Note:** These settings are available on the pyMC_Repeater `dev` branch (which uses pyMC_core `dev`). The `main` branch hardcodes `setDio2RfSwitch(False)`.
+- **DIO3 (TCXO)** — set `use_dio3_tcxo: true` if your module has a temperature-compensated oscillator on DIO3
+- **DIO2 (RF Switch)** — set `use_dio2_rf: true` if your module uses DIO2 for TX/RX antenna switching

-Example for modules requiring both:
 ```yaml
 radio:
-  use_dio3_tcxo: true    # Enable TCXO via DIO3
-  use_dio2_rf: true      # Enable RF switch via DIO2 (dev branch only)
+  use_dio3_tcxo: true
+  use_dio2_rf: true       # dev branch only
 ```

-**Important:** Setting `use_dio3_tcxo: true` does NOT automatically enable DIO2. They are independent configurations for different hardware features.
-
 ### Service Management

 ```bash
-# Check status
-sudo systemctl status pymc-repeater
-
-# Start/stop/restart
-sudo systemctl start pymc-repeater
-sudo systemctl stop pymc-repeater
-sudo systemctl restart pymc-repeater
-
-# View live logs
-sudo journalctl -u pymc-repeater -f
+sudo systemctl status pymc-repeater     # Check status
+sudo systemctl restart pymc-repeater    # Restart
+sudo journalctl -u pymc-repeater -f     # Live logs
 ```

-## Hardware Requirements
+---

- **Raspberry Pi** (3, 4, 5, or Zero 2 W recommended)
- **LoRa Module** — SX1262 or SX1276 based (e.g., Waveshare SX1262, LILYGO T3S3)
- **SPI Connection** — Module connected via SPI with GPIO for reset/busy/DIO1
+## Directory Layout

-### Tested Modules
+After installation:
+
+```
+~/pymc_console/               ← This repo (cloned by you)
+~/pyMC_Repeater/              ← Repeater daemon (cloned by manage.sh)
+
+/opt/pymc_repeater/           ← Installed repeater
+/opt/pymc_console/web/html/   ← Installed dashboard
+/etc/pymc_repeater/config.yaml ← Radio + repeater configuration
+/var/log/pymc_repeater/       ← Log files
+```
+
+---
+
+## Hardware
+
+### Supported Boards
+
+- Raspberry Pi 3, 4, 5
+- Raspberry Pi Zero 2 W
+- Any SBC with SPI and GPIO (untested but likely works)
+
+### Tested Radio Modules

 - Waveshare SX1262 HAT
- LILYGO T3S3 (via USB serial)
 - Ebyte E22 modules
+- LILYGO T3S3 (via USB serial)
 - Heltec LoRa 32

+### Connection
+
+LoRa module connects via **SPI** with GPIO pins for reset, busy, and DIO1. Pin mapping is configured during installation via pyMC_Repeater's manage.sh.
+
+---
+
 ## Troubleshooting

-### "Error 200" or Login Issues
+### Dashboard won't load

-This can occur with older installations or mismatched versions.
+1. **Is the service running?**
+   ```bash
+   sudo systemctl status pymc-repeater
+   ```
+2. **Is port 8000 responding?**
+   ```bash
+   curl -s http://localhost:8000/api/stats | head -c 100
+   ```
+3. **Check for errors:**
+   ```bash
+   sudo journalctl -u pymc-repeater -n 50
+   ```
+
+### Login fails / "Error 200"
+
+Usually caused by a version mismatch between Console and Repeater.

-**To fix:**
 ```bash
 cd pymc_console
 sudo bash manage.sh upgrade
 ```

-Select **Full pyMC Stack** upgrade to update pyMC_Repeater and pyMC_core to the latest versions.
+Select **Full pyMC Stack** to update everything to compatible versions.
+
+### No packets being received
+
+1. **SPI enabled?**
+   ```bash
+   ls /dev/spidev*
+   ```
+   If no devices listed, enable SPI via `raspi-config` → Interface Options → SPI.
+
+2. **GPIO correct?** Run pyMC_Repeater's manage.sh → Configure GPIO and verify pin assignments match your wiring.
+
+3. **Frequency match?** Confirm your radio frequency matches the rest of your mesh network.
+
+4. **Check the logs:**
+   ```bash
+   sudo journalctl -u pymc-repeater -n 100 | grep -i "error\|fail\|radio"
+   ```

 ### Service won't start

 ```bash
-# Check for errors
-sudo journalctl -u pymc-repeater -n 50
+# Check for config syntax errors
+python3 -c "import yaml; yaml.safe_load(open('/etc/pymc_repeater/config.yaml'))"

-# Verify config syntax
-cat /etc/pymc_repeater/config.yaml
+# Check for Python dependency issues
+pip3 show pymc-repeater pymc-core
 ```

-### No packets being received
+### "Radio presets file not found" during install

-1. Verify SPI is enabled: `ls /dev/spidev*`
-2. Check GPIO configuration in manage.sh → Configure GPIO
-3. Confirm frequency matches your network
+Non-fatal warning. The installer fetches presets from an API; if unavailable, it falls back to common defaults. Installation continues normally.

-### Dashboard not loading
+### Dashboard loads but shows no data

-1. Verify service is running: `sudo systemctl status pymc-repeater`
-2. Check if port 8000 is accessible: `curl http://localhost:8000/api/stats`
+- The dashboard requires authentication. If you see the login page, use the credentials you set during pyMC_Repeater installation.
+- If you're on a fresh install, allow 30–60 seconds for the repeater to initialize and begin receiving packets.
+- Check that WebSocket is connecting: open browser DevTools → Network → WS. You should see an active `/ws/packets` connection.

-### "Radio presets file not found" warning
+### Upgrade didn't take effect

-This warning during installation is non-fatal. The installer will continue and you can configure radio settings manually. The presets are fetched from an API; if the API is unavailable, common presets are offered as fallback options.
+Hard-refresh your browser (`Cmd+Shift+R` / `Ctrl+Shift+R`) to clear the cached SPA bundle. Vite hashes filenames, but the browser may still cache `index.html`.

-## Uninstalling
+---

-```bash
-cd pymc_console
-sudo bash manage.sh
-```
+## Under the Hood

-Select **Uninstall** from the menu. This removes:
- `/opt/pymc_repeater` (installation)
- `/etc/pymc_repeater` (configuration)  
- `/var/log/pymc_repeater` (logs)
- The systemd service
+### Viterbi Path Disambiguation

-## How It Works
-
-### Mesh Topology Analysis
-
-The dashboard reconstructs network topology from packet paths. MeshCore packets contain 2-character hex prefixes representing the route through the mesh:
+MeshCore packets contain 2-character hex prefixes representing the route through the mesh:

 ```
-Packet path: ["FA", "79", "24", "19"]
-           Origin → Hop1 → Hop2 → Local
+Path: ["FA", "79", "24", "19"]
+       Origin → Hop1 → Hop2 → Local
 ```

-**The Challenge**: Multiple nodes may share the same 2-char prefix (1 in 256 collision chance). The system uses a **Viterbi HMM decoder** to find the most likely sequence of actual nodes:
+Multiple nodes can share the same 2-char prefix (1-in-256 collision). The system uses a **Viterbi HMM decoder** to find the most probable sequence of actual nodes:

-#### Viterbi Path Decoding
+- **States** — all candidate nodes matching each prefix, plus a "ghost" state for unknowns
+- **Priors** — recency-weighted (recently-seen nodes are more likely)
+- **Transitions** — physics-based costs using geographic distance and LoRa range constraints
+- **Key principle** — when edge observations have ≥80% confidence, real-world evidence overrides physics

-Inspired by [d40cht/meshcore-connectivity-analysis](https://github.com/d40cht/meshcore-connectivity-analysis), the decoder treats path disambiguation as a Hidden Markov Model problem:
+Before Viterbi decoding, candidates are scored using **four-factor analysis**:

- **States** — All candidate nodes matching each prefix, plus a "ghost" state for unknown nodes
- **Priors** — Based on recency (recently-seen nodes are more likely) and disambiguation confidence
- **Transitions** — Physics-based costs using geographic distance and LoRa range constraints
+1. **Position (15%)** — typical path positions for this prefix
+2. **Co-occurrence (15%)** — which prefixes appear adjacent
+3. **Geographic (35%)** — distance to dual-hop anchor points
+4. **Recency (35%)** — exponential decay `e^(-hours/12)`

-**Key principle: Observation beats theory.** When edge observations have ≥80% confidence, real-world evidence overrides physics-based costs.
+### Ghost Node Discovery

-#### Ghost Node Discovery
+When no known candidate is geographically plausible, the decoder selects a "ghost" state. These are clustered and classified into four tiers:

-When no known candidate is geographically plausible for a prefix, the decoder selects a "ghost" state. These are aggregated to discover unknown repeaters:
+- **Confirmed** — very high observation count, consistent neighbors, plausible location
+- **Likely** — strong evidence, probably a real undiscovered repeater
+- **Possible** — moderate evidence, worth investigating
+- **Noise** — low evidence, likely path artifacts

- **Clustering** — Ghost observations grouped by prefix
- **Location estimation** — Weighted centroid of anchor node midpoints
- **Confidence scoring** — Based on observation count, common neighbors, and location variance
- **UI panel** — Shows likely-real ghost nodes with estimated coordinates and adjacent known nodes
+Ghost clusters include RF-constrained location estimates, temporal consistency analysis, and collision detection against known nodes.

-#### Four-Factor Scoring (Pre-Viterbi)
+### 7-Phase Topology Pipeline

-Before Viterbi decoding, candidates are scored using four-factor analysis inspired by [meshcore-bot](https://github.com/agessaman/meshcore-bot):
+1. **Directional edge tracking** — forward/reverse counts, symmetry ratio
+2. **Path sequence registry** — all observed paths, canonical detection
+3. **Flood vs direct classification** — per-edge routing type
+4. **Edge betweenness centrality** — backbone identification
+5. **Mobile repeater detection** — path volatility analysis
+6. **TX delay recommendations** — slot-based timing optimization
+7. **Path health scoring** — combined health, weakest link, latency

-1. **Position (15%)** — Where in paths does this prefix typically appear?
-2. **Co-occurrence (15%)** — Which prefixes appear adjacent to this one?
-3. **Geographic (35%)** — How close is the candidate to anchor points?
-4. **Recency (35%)** — How recently was this node seen?
+### Protocol Library

-**Key techniques:**
+The frontend includes a complete TypeScript port of the MeshCore protocol — binary packet parsing, header bit-field extraction, per-type payload decoders, channel key derivation, and GRP_TXT decryption (SHA-256, AES-ECB, pure JS — no native dependencies).

- **Recency scoring** — Exponential decay `e^(-hours/12)` favors recently-active nodes
- **Age filtering** — Nodes not seen in 14 days are excluded from consideration
- **Dual-hop anchoring** — Candidates scored by distance to both previous and next hops (a relay must be within RF range of both neighbors)
- **Score-weighted redistribution** — Appearance counts redistributed proportionally by combined score
+---

-The system maintains up to 500,000 packets in session memory for comprehensive topology evidence, with tiered loading (24h initial → 3d → 7d → 14d on demand).
+## Standalone UI Installation

-### Edge Rendering
+If you already have pyMC_Repeater running and just want the dashboard, see [INSTALL.md](INSTALL.md) for manual tar.gz installation without manage.sh.

-Topology edges are rendered with visual cues indicating confidence:
-
- **Line thickness** — Scales from 1.5px (5 validations) to 10px (100+ validations)
- **Validation threshold** — Edges require 5+ certain observations to render
- **Certainty conditions** — An edge is "certain" when:
-  - Both endpoints have ≥0.6 confidence (HIGH threshold), OR
-  - The destination has ≥0.9 confidence (VERY_HIGH threshold), OR
-  - It's the last hop to local node
- **Inclusion threshold** — Edges require ≥0.4 confidence (MEDIUM threshold) for topology
- **Trace animation** — Edges "draw" from point A to B when topology is enabled
- **Fade animation** — Edges smoothly fade out when topology is disabled
- **Loop edges** — Redundant paths rendered as parallel double-lines in accent color
-
-### 3D Terrain & Visualization
-
-The Contacts map supports full 3D terrain rendering:
-
- **Terrain tiles** — AWS Terrarium elevation data (free, no API key)
- **Hillshading** — Visual depth tuned for dark map themes
- **3D arcs** — Topology edges and neighbor lines rendered as elevated arcs via deck.gl
- **GPU acceleration** — deck.gl PathLayer and IconLayer for smooth pan/zoom/tilt
- **Automatic draping** — All markers and edges align to terrain elevation
-
-### Path Visualization
-
-Clicking a packet shows its route on a map with confidence indicators:
-
- **Green** — 100% confidence (unique prefix, no collision)
- **Yellow** — 50-99% confidence (high certainty)
- **Orange** — 25-49% confidence (medium certainty)
- **Red** — 1-24% confidence (low certainty)
- **Gray/Ghost** — Unknown prefix resolved to ghost node
+---

 ## License

@@ -442,11 +418,11 @@ MIT — See [LICENSE](LICENSE)

 ## Credits

-Built on the excellent work of:
+Built on the work of:

- **[RightUp](https://github.com/rightup)** — Creator of pyMC_Repeater, pymc_core, and the MeshCore ecosystem
- **[pyMC_Repeater](https://github.com/rightup/pyMC_Repeater)** — Core repeater daemon for LoRa communication and mesh routing
- **[pymc_core](https://github.com/rightup/pyMC_core)** — Underlying mesh protocol library
- **[d40cht/meshcore-connectivity-analysis](https://github.com/d40cht/meshcore-connectivity-analysis)** — Viterbi HMM approach for path disambiguation and ghost node discovery
- **[meshcore-bot](https://github.com/agessaman/meshcore-bot)** — Inspiration for recency scoring and dual-hop anchor disambiguation
+- **[RightUp](https://github.com/rightup)** — Creator of pyMC_Repeater, pymc_core, and the MeshCore Python ecosystem
+- **[pyMC_Repeater](https://github.com/rightup/pyMC_Repeater)** — Core repeater daemon
+- **[pymc_core](https://github.com/rightup/pyMC_core)** — Protocol library
 - **[MeshCore](https://meshcore.co.uk/)** — The MeshCore project and community
+- **[d40cht/meshcore-connectivity-analysis](https://github.com/d40cht/meshcore-connectivity-analysis)** — Viterbi HMM approach for path disambiguation
+- **[meshcore-bot](https://github.com/agessaman/meshcore-bot)** — Recency scoring and dual-hop anchor disambiguation
@@ -1 +1 @@
-0.9.223
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+import{c as e,aX as s}from"./index-CIoxFkCL.js";import{r as a,j as o,c as t}from"./vendor-react-Z6a030H9.js";import{A as r}from"./index-DC-GJ6vK.js";import{t as i}from"./config-TTDcOBVH.js";const n=e("ear-off",[["path",{d:"M6 18.5a3.5 3.5 0 1 0 7 0c0-1.57.92-2.52 2.04-3.46",key:"1qngmn"}],["path",{d:"M6 8.5c0-.75.13-1.47.36-2.14",key:"b06bma"}],["path",{d:"M8.8 3.15A6.5 6.5 0 0 1 19 8.5c0 1.63-.44 2.81-1.09 3.76",key:"g10hsz"}],["path",{d:"M12.5 6A2.5 2.5 0 0 1 15 8.5M10 13a2 2 0 0 0 1.82-1.18",key:"ygzou7"}],["line",{x1:"2",x2:"22",y1:"2",y2:"22",key:"a6p6uj"}]]),c=a.memo(function({value:e,format:t,prefix:n,suffix:c,className:m,priority:l="medium"}){const[f,u]=a.useState(!1),[d,p]=a.useState(e);a.useEffect(()=>s(()=>{u(!0),p(0)},l),[l]),a.useEffect(()=>{f&&p(e)},[f,e]);const g=`${n??""}${e.toLocaleString(void 0,t)}${c??""}`;return f?o.jsx(r,{className:`${m??""} overflow-hidden`,format:t,prefix:n,suffix:c,transition:i.numberTicker,children:d}):o.jsx("span",{className:m,children:g})}),m=a.memo(function({ranges:e,selectedIndex:s,onSelect:a,isPending:r,size:i="default"}){const n="sm"===i?"toggle-group-sm":"micro"===i?"toggle-group-micro":"";return o.jsx("div",{className:t("toggle-group flex-shrink-0 overflow-x-auto",n,r&&"opacity-70"),children:e.map((e,r)=>o.jsx("button",{onClick:()=>a(r),className:t("toggle-group-item",s===r&&"active"),children:e.label},e.label))})});export{c as A,n as E,m as T};
@@ -1 +0,0 @@
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-import{c as a}from"./index-DnB5FOpE.js";const t=a("activity",[["path",{d:"M22 12h-2.48a2 2 0 0 0-1.93 1.46l-2.35 8.36a.25.25 0 0 1-.48 0L9.24 2.18a.25.25 0 0 0-.48 0l-2.35 8.36A2 2 0 0 1 4.49 12H2",key:"169zse"}]]);export{t as A};
+import{c as a}from"./index-CIoxFkCL.js";const t=a("activity",[["path",{d:"M22 12h-2.48a2 2 0 0 0-1.93 1.46l-2.35 8.36a.25.25 0 0 1-.48 0L9.24 2.18a.25.25 0 0 0-.48 0l-2.35 8.36A2 2 0 0 1 4.49 12H2",key:"169zse"}]]);export{t as A};
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-import{c as a}from"./index-DnB5FOpE.js";const e=a("arrow-down",[["path",{d:"M12 5v14",key:"s699le"}],["path",{d:"m19 12-7 7-7-7",key:"1idqje"}]]),r=a("arrow-up",[["path",{d:"m5 12 7-7 7 7",key:"hav0vg"}],["path",{d:"M12 19V5",key:"x0mq9r"}]]);export{e as A,r as a};
+import{c as a}from"./index-CIoxFkCL.js";const e=a("arrow-down",[["path",{d:"M12 5v14",key:"s699le"}],["path",{d:"m19 12-7 7-7-7",key:"1idqje"}]]),r=a("arrow-up",[["path",{d:"m5 12 7-7 7 7",key:"hav0vg"}],["path",{d:"M12 19V5",key:"x0mq9r"}]]);export{e as A,r as a};
@@ -0,0 +1 @@
+import{c as t}from"./index-CIoxFkCL.js";const h=t("chevron-right",[["path",{d:"m9 18 6-6-6-6",key:"mthhwq"}]]);export{h as C};
@@ -1 +0,0 @@
-import{c as t}from"./index-DnB5FOpE.js";const h=t("chevron-right",[["path",{d:"m9 18 6-6-6-6",key:"mthhwq"}]]);export{h as C};
@@ -1 +1 @@
-import{c}from"./index-DnB5FOpE.js";const e=c("circle-check",[["circle",{cx:"12",cy:"12",r:"10",key:"1mglay"}],["path",{d:"m9 12 2 2 4-4",key:"dzmm74"}]]);export{e as C};
+import{c}from"./index-CIoxFkCL.js";const e=c("circle-check",[["circle",{cx:"12",cy:"12",r:"10",key:"1mglay"}],["path",{d:"m9 12 2 2 4-4",key:"dzmm74"}]]);export{e as C};
@@ -1 +0,0 @@
-import{c as a}from"./index-DnB5FOpE.js";const c=a("compass",[["path",{d:"m16.24 7.76-1.804 5.411a2 2 0 0 1-1.265 1.265L7.76 16.24l1.804-5.411a2 2 0 0 1 1.265-1.265z",key:"9ktpf1"}],["circle",{cx:"12",cy:"12",r:"10",key:"1mglay"}]]);export{c as C};
@@ -1 +0,0 @@
-const s={snappy:{type:"spring",stiffness:500,damping:30},smooth:{type:"spring",stiffness:300,damping:30},gentle:{type:"spring",stiffness:200,damping:25}},n={fast:.15,medium:.3},e={easeIn:[.4,0,1,1]},a={normal:.05};export{s as a,n as d,e,a as s};
@@ -0,0 +1 @@
+const s={snappy:{type:"spring",stiffness:500,damping:30},smooth:{type:"spring",stiffness:300,damping:30},gentle:{type:"spring",stiffness:200,damping:25}},e={fast:.15,medium:.3},a={easeIn:[.4,0,1,1]},n={numberTicker:{type:"spring",visualDuration:.4,bounce:.15,opacity:{duration:.15,ease:"linear"}},numberReveal:{type:"spring",visualDuration:.6,bounce:.25,opacity:{duration:.2,ease:"linear"}}},i={normal:.05};export{s as a,e as d,a as e,i as s,n as t};
@@ -1 +1 @@
-import{c as e}from"./index-DnB5FOpE.js";const s=e("database",[["ellipse",{cx:"12",cy:"5",rx:"9",ry:"3",key:"msslwz"}],["path",{d:"M3 5V19A9 3 0 0 0 21 19V5",key:"1wlel7"}],["path",{d:"M3 12A9 3 0 0 0 21 12",key:"mv7ke4"}]]);export{s as D};
+import{c as e}from"./index-CIoxFkCL.js";const s=e("database",[["ellipse",{cx:"12",cy:"5",rx:"9",ry:"3",key:"msslwz"}],["path",{d:"M3 5V19A9 3 0 0 0 21 19V5",key:"1wlel7"}],["path",{d:"M3 12A9 3 0 0 0 21 12",key:"mv7ke4"}]]);export{s as D};
@@ -1 +0,0 @@
-function e(e){return e&&e.__esModule&&Object.prototype.hasOwnProperty.call(e,"default")?e.default:e}const t={},n=function(e,n,r){let o=Promise.resolve();if(n&&n.length>0){let e=function(e){return Promise.all(e.map(e=>Promise.resolve(e).then(e=>({status:"fulfilled",value:e}),e=>({status:"rejected",reason:e}))))};document.getElementsByTagName("link");const r=document.querySelector("meta[property=csp-nonce]"),l=(null==r?void 0:r.nonce)||(null==r?void 0:r.getAttribute("nonce"));o=e(n.map(e=>{if((e=function(e){return"/"+e}(e))in t)return;t[e]=!0;const n=e.endsWith(".css"),r=n?'[rel="stylesheet"]':"";if(document.querySelector(`link[href="${e}"]${r}`))return;const o=document.createElement("link");return o.rel=n?"stylesheet":"modulepreload",n||(o.as="script"),o.crossOrigin="",o.href=e,l&&o.setAttribute("nonce",l),document.head.appendChild(o),n?new Promise((t,n)=>{o.addEventListener("load",t),o.addEventListener("error",()=>n(new Error(`Unable to preload CSS for ${e}`)))}):void 0}))}function l(e){const t=new Event("vite:preloadError",{cancelable:!0});if(t.payload=e,window.dispatchEvent(t),!t.defaultPrevented)throw e}return o.then(t=>{for(const e of t||[])"rejected"===e.status&&l(e.reason);return e().catch(l)})};export{n as _,e as g};
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+import{c as a,cy as s}from"./index-CIoxFkCL.js";const c=a("compass",[["path",{d:"m16.24 7.76-1.804 5.411a2 2 0 0 1-1.265 1.265L7.76 16.24l1.804-5.411a2 2 0 0 1 1.265-1.265z",key:"9ktpf1"}],["circle",{cx:"12",cy:"12",r:"10",key:"1mglay"}]]),e=s(.65,0,.35,1),m=s(.33,1,.68,1),o=s(.33,.67,.67,1),p=s(.76,0,.24,1);export{c as C,m as a,e as b,o as c,p as e};
@@ -0,0 +1,2 @@
+const __vite__mapDeps=(i,m=__vite__mapDeps,d=(m.f||(m.f=["assets/latin-400-BcR6IdUc.css","assets/latin-500-DCnAHIrw.css","assets/latin-600-CnkPk-vb.css","assets/latin-700-UC1i-VSI.css"])))=>i.map(i=>d[i]);
+import{_}from"./vendor-react-Z6a030H9.js";let t=!1,a=null;async function i(){if(!t)return a||(a=(async()=>{try{await Promise.all([_(()=>Promise.resolve({}),__vite__mapDeps([0])),_(()=>Promise.resolve({}),__vite__mapDeps([1])),_(()=>Promise.resolve({}),__vite__mapDeps([2])),_(()=>Promise.resolve({}),__vite__mapDeps([3]))]),t=!0}catch(a){}})(),a)}export{i as l};
@@ -1,2 +0,0 @@
-const __vite__mapDeps=(i,m=__vite__mapDeps,d=(m.f||(m.f=["assets/latin-400-CvIR-I2l.css","assets/latin-400-CePoWEYT.css","assets/latin-400-dmanHIEB.css","assets/latin-500-DwzRh_fR.css","assets/latin-400-CNx1qH9H.css","assets/latin-400-C7jFTHrn.css","assets/latin-500-CvoqYoKF.css","assets/latin-600-CdtqNIPt.css","assets/latin-400-BcR6IdUc.css","assets/latin-500-DCnAHIrw.css","assets/latin-600-CnkPk-vb.css","assets/latin-700-UC1i-VSI.css"])))=>i.map(i=>d[i]);
-import{_}from"./deckgl-DTsmDcfs.js";let t=!1,i=null;async function E(){if(!t)return i||(i=(async()=>{try{await Promise.all([_(()=>Promise.resolve({}),__vite__mapDeps([0])),_(()=>Promise.resolve({}),__vite__mapDeps([1])),_(()=>Promise.resolve({}),__vite__mapDeps([2])),_(()=>Promise.resolve({}),__vite__mapDeps([3])),_(()=>Promise.resolve({}),__vite__mapDeps([4])),_(()=>Promise.resolve({}),__vite__mapDeps([5])),_(()=>Promise.resolve({}),__vite__mapDeps([6])),_(()=>Promise.resolve({}),__vite__mapDeps([7])),_(()=>Promise.resolve({}),__vite__mapDeps([8])),_(()=>Promise.resolve({}),__vite__mapDeps([9])),_(()=>Promise.resolve({}),__vite__mapDeps([10])),_(()=>Promise.resolve({}),__vite__mapDeps([11]))]),t=!0}catch(i){}})(),i)}export{E as l};
@@ -1 +1 @@
-import{c}from"./index-DnB5FOpE.js";const e=c("git-branch",[["line",{x1:"6",x2:"6",y1:"3",y2:"15",key:"17qcm7"}],["circle",{cx:"18",cy:"6",r:"3",key:"1h7g24"}],["circle",{cx:"6",cy:"18",r:"3",key:"fqmcym"}],["path",{d:"M18 9a9 9 0 0 1-9 9",key:"n2h4wq"}]]);export{e as G};
+import{c}from"./index-CIoxFkCL.js";const e=c("git-branch",[["line",{x1:"6",x2:"6",y1:"3",y2:"15",key:"17qcm7"}],["circle",{cx:"18",cy:"6",r:"3",key:"1h7g24"}],["circle",{cx:"6",cy:"18",r:"3",key:"fqmcym"}],["path",{d:"M18 9a9 9 0 0 1-9 9",key:"n2h4wq"}]]);export{e as G};
@@ -1 +0,0 @@
-import{c as a}from"./index-DnB5FOpE.js";const s=a("house",[["path",{d:"M15 21v-8a1 1 0 0 0-1-1h-4a1 1 0 0 0-1 1v8",key:"5wwlr5"}],["path",{d:"M3 10a2 2 0 0 1 .709-1.528l7-6a2 2 0 0 1 2.582 0l7 6A2 2 0 0 1 21 10v9a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2z",key:"r6nss1"}]]);export{s as H};
@@ -1 +1 @@
-import{c as e}from"./index-DnB5FOpE.js";const c=e("info",[["circle",{cx:"12",cy:"12",r:"10",key:"1mglay"}],["path",{d:"M12 16v-4",key:"1dtifu"}],["path",{d:"M12 8h.01",key:"e9boi3"}]]);export{c as I};
+import{c as e}from"./index-CIoxFkCL.js";const c=e("info",[["circle",{cx:"12",cy:"12",r:"10",key:"1mglay"}],["path",{d:"M12 16v-4",key:"1dtifu"}],["path",{d:"M12 8h.01",key:"e9boi3"}]]);export{c as I};
@@ -1 +0,0 @@
-@font-face{font-family:Instrument Sans;font-style:normal;font-display:swap;font-weight:400;src:url(/assets/instrument-sans-latin-400-normal-DRC__1Mx.woff2) format("woff2"),url(/assets/instrument-sans-latin-400-normal-D1W7dsQl.woff) format("woff")}
@@ -1 +0,0 @@
-@font-face{font-family:"Instrument Serif";font-style:normal;font-display:swap;font-weight:400;src:url(/assets/instrument-serif-latin-400-normal-DnYpCC2O.woff2) format("woff2"),url(/assets/instrument-serif-latin-400-normal-BVbkICAY.woff) format("woff")}
@@ -1 +0,0 @@
-@font-face{font-family:"Jacquard 12";font-style:normal;font-display:swap;font-weight:400;src:url(/assets/jacquard-12-latin-400-normal-CFgZUtB9.woff2) format("woff2"),url(/assets/jacquard-12-latin-400-normal-DUTP1itc.woff) format("woff")}
@@ -1 +0,0 @@
-@font-face{font-family:Rubik Mono One;font-style:normal;font-display:swap;font-weight:400;src:url(/assets/rubik-mono-one-latin-400-normal-U2Afr9Di.woff2) format("woff2"),url(/assets/rubik-mono-one-latin-400-normal-Cd19iSlZ.woff) format("woff")}
@@ -1 +0,0 @@
-@font-face{font-family:Cantora One;font-style:normal;font-display:swap;font-weight:400;src:url(/assets/cantora-one-latin-400-normal-BBwF22QI.woff2) format("woff2"),url(/assets/cantora-one-latin-400-normal-DwNspYVg.woff) format("woff")}
@@ -1 +0,0 @@
-@font-face{font-family:Instrument Sans;font-style:normal;font-display:swap;font-weight:500;src:url(/assets/instrument-sans-latin-500-normal-Dk9ku72i.woff2) format("woff2"),url(/assets/instrument-sans-latin-500-normal-Z6ESRlEs.woff) format("woff")}
@@ -1 +0,0 @@
-@font-face{font-family:IBM Plex Mono;font-style:normal;font-display:swap;font-weight:500;src:url(/assets/ibm-plex-mono-latin-500-normal-DSY6xOcd.woff2) format("woff2"),url(/assets/ibm-plex-mono-latin-500-normal-CB9ihrfo.woff) format("woff")}
@@ -1 +0,0 @@
-@font-face{font-family:Instrument Sans;font-style:normal;font-display:swap;font-weight:600;src:url(/assets/instrument-sans-latin-600-normal-B7fBEWYG.woff2) format("woff2"),url(/assets/instrument-sans-latin-600-normal-B9e8oLYv.woff) format("woff")}
@@ -0,0 +1 @@
+import{c as a}from"./index-CIoxFkCL.js";const l=a("layers",[["path",{d:"M12.83 2.18a2 2 0 0 0-1.66 0L2.6 6.08a1 1 0 0 0 0 1.83l8.58 3.91a2 2 0 0 0 1.66 0l8.58-3.9a1 1 0 0 0 0-1.83z",key:"zw3jo"}],["path",{d:"M2 12a1 1 0 0 0 .58.91l8.6 3.91a2 2 0 0 0 1.65 0l8.58-3.9A1 1 0 0 0 22 12",key:"1wduqc"}],["path",{d:"M2 17a1 1 0 0 0 .58.91l8.6 3.91a2 2 0 0 0 1.65 0l8.58-3.9A1 1 0 0 0 22 17",key:"kqbvx6"}]]);export{l as L};
@@ -1 +1 @@
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+import{c}from"./index-CIoxFkCL.js";const r=c("map-pin",[["path",{d:"M20 10c0 4.993-5.539 10.193-7.399 11.799a1 1 0 0 1-1.202 0C9.539 20.193 4 14.993 4 10a8 8 0 0 1 16 0",key:"1r0f0z"}],["circle",{cx:"12",cy:"10",r:"3",key:"ilqhr7"}]]);export{r as M};
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+import{c as s}from"./index-CIoxFkCL.js";const a=s("minus",[["path",{d:"M5 12h14",key:"1ays0h"}]]);export{a as M};
--- a/Show More
+++ b/Show More
@@ -1 +1 @@
 .9.223
 .9.224
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				`@@ -0,0 +1 @@`
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				`@@ -1 +0,0 @@`
				import{c as e}from"./index-DnB5FOpE.js";import{r as t,j as n}from"./vendor-react-BKIq8k5U.js";const a=e("message-square",[["path",{d:"M22 17a2 2 0 0 1-2 2H6.828a2 2 0 0 0-1.414.586l-2.202 2.202A.71.71 0 0 1 2 21.286V5a2 2 0 0 1 2-2h16a2 2 0 0 1 2 2z",key:"18887p"}]]),r=e("minus",[["path",{d:"M5 12h14",key:"1ays0h"}]]),i=e("trending-down",[["path",{d:"M16 17h6v-6",key:"t6n2it"}],["path",{d:"m22 17-8.5-8.5-5 5L2 7",key:"x473p"}]]),s=e("trending-up",[["path",{d:"M16 7h6v6",key:"box55l"}],["path",{d:"m22 7-8.5 8.5-5-5L2 17",key:"1t1m79"}]]),o="var(--sparkline-critical)",h="var(--sparkline-poor)",d="var(--sparkline-fair)",l="var(--sparkline-good)",c="var(--sparkline-excellent)",x=t.memo(function({data:e,width:a=48,height:r=16,color:i,isLoading:s=!1,className:x=""}){const u=t.useMemo(()=>function(e,t,n,a=2){if(e.length<2)return"";const r=e.map(e=>e.count),i=Math.max(...r,1),s=Math.min(...r),o=i-s\|\|1,h=t-2a,d=n-2a,l=r.map((e,t)=>({x:a+t/(r.length-1)h,y:a+d-(e-s)/od}));let c=`M ${l[0].x.toFixed(1)} ${l[0].y.toFixed(1)}`;for(let x=1;x<l.length;x++){const e=l[x-1],t=l[x];c+=` Q ${((e.x+t.x)/2).toFixed(1)} ${e.y.toFixed(1)} ${t.x.toFixed(1)} ${t.y.toFixed(1)}`}return c}(e,a,r),[e,a,r]),m=t.useMemo(()=>i??(e.length>0?function(e){if(0===e.length)return o;const t=e.slice(-4),n=t.reduce((e,t)=>e+t.count,0),a=n/t.length,r=e.reduce((e,t)=>e+t.count,0)/e.length;if(0===n)return o;if(r>0){const e=a/r;return e>=1.2?c:e>=.8?l:e>=.4?d:e>=.1?h:o}return n>=10?c:n>=5?l:n>=2?d:n>=1?h:o}(e):"var(--text-muted)"),[i,e]);return s&&e.length<2?n.jsx("div",{className:`flex items-center justify-center ${x}`,style:{width:a,height:r},children:n.jsx("div",{className:"rounded animate-pulse bg-white/[0.06]",style:{width:a-8,height:r-6}})}):e.length<2?n.jsx("svg",{width:a,height:r,viewBox:`0 0 ${a} ${r}`,className:x,"aria-hidden":"true",children:n.jsx("line",{x1:4,y1:r/2,x2:a-4,y2:r/2,stroke:o,strokeWidth:1.5,strokeDasharray:"3,2"})}):n.jsx("svg",{width:a,height:r,viewBox:`0 0 ${a} ${r}`,preserveAspectRatio:"none",className:x,"aria-hidden":"true",style:{maxWidth:"100%"},children:n.jsx("path",{d:u,fill:"none",stroke:m,strokeWidth:1.5,strokeLinecap:"round",strokeLinejoin:"round",vectorEffect:"non-scaling-stroke"})})});export{x as L,r as M,s as T,i as a,a as b};
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				import{r as e,j as s,c as a}from"./vendor-react-BKIq8k5U.js";import{c as t,b9 as l,ba as r,h as c,bb as i,bc as n,bd as o,b1 as m,be as x}from"./index-DnB5FOpE.js";import{u as d}from"./usePolling-_rZ6EKji.js";import{P as h,b as p,B as g,a as j,L as u}from"./PageLayout-DdvwgBp8.js";import{C as b}from"./Card-BRttWJMn.js";import"./deckgl-DTsmDcfs.js";import"./vendor-core-D1aqi_5O.js";const y=t("circle-play",[["path",{d:"M9 9.003a1 1 0 0 1 1.517-.859l4.997 2.997a1 1 0 0 1 0 1.718l-4.997 2.997A1 1 0 0 1 9 14.996z",key:"kmsa83"}],["circle",{cx:"12",cy:"12",r:"10",key:"1mglay"}]]),f=t("circle-stop",[["circle",{cx:"12",cy:"12",r:"10",key:"1mglay"}],["rect",{x:"9",y:"9",width:"6",height:"6",rx:"1",key:"1ssd4o"}]]),v=e.memo(function({log:e}){return s.jsx("div",{className:"p-3 radius-card bg-subtle-fill hover:bg-subtle-fill-strong transition-base",children:s.jsxs("div",{className:"flex items-baseline gap-3",children:[s.jsx("span",{className:a("type-data-sm w-14 shrink-0",x(e.level)),children:e.level}),s.jsxs("div",{className:"flex-1 min-w-0",children:[s.jsx("p",{className:"type-data-sm text-text-primary break-words whitespace-pre-wrap",children:e.message}),s.jsx("p",{className:"type-data-xs text-text-muted mt-1",children:new Date(e.timestamp).toLocaleString()})]})]})})});function w({showDebug:e,onToggle:t}){return s.jsxs("div",{className:"flex items-center gap-2",children:[s.jsx("span",{className:a("type-data-sm",e?"text-accent-tertiary":"text-accent-primary"),children:e?"DEBUG":"INFO"}),s.jsx("button",{onClick:t,className:a("relative w-10 h-5 rounded-full transition-base",e?"bg-accent-tertiary":"bg-accent-primary"),role:"switch","aria-checked":e,children:s.jsx("span",{className:a("absolute top-[2px] left-[2px] w-4 h-4 bg-white rounded-full shadow-sm transition-transform duration-200",e?"translate-x-5":"translate-x-0")})})]})}function N(){const t=l(),x=r(),N=c(),k=i(),C=n(),[D,L]=e.useState(!1),P=e.useCallback(()=>{L(e=>!e)},[]),B=D?t:t.filter(e=>"DEBUG"!==e.level);return d(k,m.logs,N),s.jsxs(h,{children:[s.jsx(p,{title:"System Logs",icon:s.jsx(o,{}),controls:s.jsx(w,{showDebug:D,onToggle:P})}),s.jsx(g,{children:s.jsxs(j,{noPadding:!0,children:[s.jsx(b,{listHeader:!0,icon:s.jsx(o,{className:"icon-sm"}),title:"Log Entries",actions:s.jsx("button",{onClick:()=>C(!N),className:a("transition-base",N?"text-signal-critical hover:text-signal-critical/80":"text-accent-primary hover:text-accent-primary/80 animate-pulse-slow"),title:N?"Pause":"Resume",children:N?s.jsx(f,{className:"w-5 h-5"}):s.jsx(y,{className:"w-5 h-5"})})}),s.jsx("div",{className:"space-y-2 max-h-[calc(100vh-300px)] sm:max-h-[calc(100vh-250px)] overflow-y-auto p-4",children:x&&0===t.length?s.jsx(u,{count:10}):0===B.length?s.jsx("div",{className:"text-center py-12 text-text-muted",children:0===t.length?"No logs available":"No logs match selected filters"}):B.map((e,a)=>s.jsx(v,{log:e},`${e.timestamp}-${a}`))})]})})]})}export{N as default};
				`@@ -0,0 +1 @@`
				import{c as e,aX as s}from"./index-CIoxFkCL.js";import{r as a,j as o,c as t}from"./vendor-react-Z6a030H9.js";import{A as r}from"./index-DC-GJ6vK.js";import{t as i}from"./config-TTDcOBVH.js";const n=e("ear-off",[["path",{d:"M6 18.5a3.5 3.5 0 1 0 7 0c0-1.57.92-2.52 2.04-3.46",key:"1qngmn"}],["path",{d:"M6 8.5c0-.75.13-1.47.36-2.14",key:"b06bma"}],["path",{d:"M8.8 3.15A6.5 6.5 0 0 1 19 8.5c0 1.63-.44 2.81-1.09 3.76",key:"g10hsz"}],["path",{d:"M12.5 6A2.5 2.5 0 0 1 15 8.5M10 13a2 2 0 0 0 1.82-1.18",key:"ygzou7"}],["line",{x1:"2",x2:"22",y1:"2",y2:"22",key:"a6p6uj"}]]),c=a.memo(function({value:e,format:t,prefix:n,suffix:c,className:m,priority:l="medium"}){const[f,u]=a.useState(!1),[d,p]=a.useState(e);a.useEffect(()=>s(()=>{u(!0),p(0)},l),[l]),a.useEffect(()=>{f&&p(e)},[f,e]);const g=`${n??""}${e.toLocaleString(void 0,t)}${c??""}`;return f?o.jsx(r,{className:`${m??""} overflow-hidden`,format:t,prefix:n,suffix:c,transition:i.numberTicker,children:d}):o.jsx("span",{className:m,children:g})}),m=a.memo(function({ranges:e,selectedIndex:s,onSelect:a,isPending:r,size:i="default"}){const n="sm"===i?"toggle-group-sm":"micro"===i?"toggle-group-micro":"";return o.jsx("div",{className:t("toggle-group flex-shrink-0 overflow-x-auto",n,r&&"opacity-70"),children:e.map((e,r)=>o.jsx("button",{onClick:()=>a(r),className:t("toggle-group-item",s===r&&"active"),children:e.label},e.label))})});export{c as A,n as E,m as T};
				`@@ -1 +0,0 @@`
				import{c as e,aY as a}from"./index-DnB5FOpE.js";import{r as s,j as o,c as t}from"./vendor-react-BKIq8k5U.js";import{A as i}from"./index-4YcwiUNl.js";const r=e("ear-off",[["path",{d:"M6 18.5a3.5 3.5 0 1 0 7 0c0-1.57.92-2.52 2.04-3.46",key:"1qngmn"}],["path",{d:"M6 8.5c0-.75.13-1.47.36-2.14",key:"b06bma"}],["path",{d:"M8.8 3.15A6.5 6.5 0 0 1 19 8.5c0 1.63-.44 2.81-1.09 3.76",key:"g10hsz"}],["path",{d:"M12.5 6A2.5 2.5 0 0 1 15 8.5M10 13a2 2 0 0 0 1.82-1.18",key:"ygzou7"}],["line",{x1:"2",x2:"22",y1:"2",y2:"22",key:"a6p6uj"}]]),n={type:"spring",visualDuration:.4,bounce:.15,opacity:{duration:.15,ease:"linear"}},c=s.memo(function({value:e,format:t,prefix:r,suffix:c,className:l,priority:m="medium"}){const[u,f]=s.useState(!1),[p,d]=s.useState(e);s.useEffect(()=>a(()=>{f(!0),d(0)},m),[m]),s.useEffect(()=>{u&&d(e)},[u,e]);const g=`${r??""}${e.toLocaleString(void 0,t)}${c??""}`;return u?o.jsx(i,{className:`${l??""} overflow-hidden`,format:t,prefix:r,suffix:c,transition:n,children:p}):o.jsx("span",{className:l,children:g})}),l=s.memo(function({ranges:e,selectedIndex:a,onSelect:s,isPending:i,size:r="default"}){const n="sm"===r?"toggle-group-sm":"micro"===r?"toggle-group-micro":"";return o.jsx("div",{className:t("toggle-group flex-shrink-0 overflow-x-auto",n,i&&"opacity-70"),children:e.map((e,i)=>o.jsx("button",{onClick:()=>s(i),className:t("toggle-group-item",a===i&&"active"),children:e.label},e.label))})});export{c as A,r as E,l as T};
				`@@ -0,0 +1 @@`
				`import{c as t}from"./index-CIoxFkCL.js";const h=t("chevron-right",[["path",{d:"m9 18 6-6-6-6",key:"mthhwq"}]]);export{h as C};`
				`@@ -1 +0,0 @@`
				`import{c as t}from"./index-DnB5FOpE.js";const h=t("chevron-right",[["path",{d:"m9 18 6-6-6-6",key:"mthhwq"}]]);export{h as C};`
				`@@ -1 +0,0 @@`
				`import{c as a}from"./index-DnB5FOpE.js";const c=a("compass",[["path",{d:"m16.24 7.76-1.804 5.411a2 2 0 0 1-1.265 1.265L7.76 16.24l1.804-5.411a2 2 0 0 1 1.265-1.265z",key:"9ktpf1"}],["circle",{cx:"12",cy:"12",r:"10",key:"1mglay"}]]);export{c as C};`