The flood tail decays over roughly twenty hops in bars under a pixel tall. Buckets holding less than 0.1% of the series are no longer drawn, which on the live mesh takes the axis from 64 buckets to 44. What is left out is reported, not dropped: a line under the chart reads "1,467 further flood packets (0.9%) sit in 20 hop buckets below 0.1% each, and are not drawn." An unannounced cut would be the same lie as a silently truncated category list. Two details that matter for honesty: Percentages still divide by the whole series, never by the drawn subset, so removing the tail cannot inflate the bars that remain. The smallest surviving bar on live data is 0.118%, which is what it was before. A withheld bucket inside the axis is null rather than zero. Zero would claim no packets travelled that far, which is a different and false statement; null draws nothing and says nothing. Padding gaps stay zero, because there it is true. The threshold applies to the flood series only — the node series is small enough to draw in full — and the underlying computation still covers the whole 64-hop protocol range.
17 KiB
MeshCore Bot Data Viewer
A web-based interface for viewing and analyzing data from your MeshCore Bot.
Features
- Dashboard: Overview of database statistics and bot status
- Repeater Contacts: View active repeater contacts with location and status information
- Contact Tracking: Complete history of all heard contacts with signal strength and routing data
- Config panel: Structured settings with categorized topics and database tools
- Plugins page: Toggle every command and service on/off and edit their settings
from the browser. Changes are validated, written to
config.iniwith comments preserved and a timestamped backup, and the bot hot-reloads command settings within a few seconds (service on/off still needs a restart) - Purging Log: Audit trail of contact purging operations
- Real-time Updates: Auto-refreshes every 30 seconds
- API Endpoints: JSON API for programmatic access
Quick Start
Option 1: Standalone Mode
# Install Flask if not already installed
pip3 install flask
# Start the web viewer (reads config from config.ini)
python3 -m modules.web_viewer.app
# Or use the restart script for standalone mode
./restart_viewer.sh
# Override configuration with command line arguments
python3 -m modules.web_viewer.app --port 8080 --host 0.0.0.0
Option 2: Integrated with Bot
-
Edit
config.iniand set:[Web_Viewer] enabled = true auto_start = true host = 127.0.0.1 port = 5000 -
The web viewer will start automatically with the bot
Configuration
The web viewer can be configured in the [Web_Viewer] section of config.ini:
[Web_Viewer]
# Enable or disable the web data viewer
enabled = true
# Web viewer host address
# 127.0.0.1: Only accessible from localhost
# 0.0.0.0: Accessible from any network interface
host = 127.0.0.1
# Web viewer port
port = 5000
# Enable debug mode for the web viewer
debug = false
# Auto-start web viewer with bot
auto_start = false
# Optional: enable the multibyte monitor page and API
multibyte_monitor_enabled = false
Accessing the Viewer
Once started, open your web browser and navigate to:
- Local access: http://localhost:5005 (or your configured port)
- Network access: http://YOUR_BOT_IP:5005 (if host is set to 0.0.0.0)
Reverse Proxy With Nginx Basic Auth
If you expose the web viewer outside your local network, run it behind HTTPS and authentication. One option is to bind the viewer locally, then put Nginx in front with basic auth:
[Web_Viewer]
enabled = true
auto_start = true
host = 127.0.0.1
port = 8080
Example Nginx server block:
server {
# [...]
auth_basic "Login required";
auth_basic_user_file /etc/nginx/.meshcore-bot.htpasswd;
location / {
# Local web viewer instance
proxy_pass http://127.0.0.1:8080;
proxy_buffering off;
include /etc/nginx/proxy_params;
}
# Socket.IO websocket path for live updates
location /socket.io/ {
if ($http_connection !~* "upgrade") {
return 403;
}
if ($http_upgrade !~* "websocket") {
return 403;
}
proxy_pass http://127.0.0.1:8080;
include /etc/nginx/proxy_params;
proxy_http_version 1.1;
proxy_set_header Upgrade $http_upgrade;
proxy_set_header Connection "upgrade";
proxy_read_timeout 86400;
}
}
With the config above, /etc/nginx/proxy_params should include the standard forwarded headers:
proxy_set_header Host $http_host;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_set_header X-Forwarded-Proto $scheme;
Pages Overview
Dashboard
- Health strip: bot status, database size, uptime, connected clients, radio state, and snapshot age with a manual refresh control
- Mesh: nodes heard, adverts, new nodes, nodes gone quiet, and geographic coverage — the count tiles carry a 30-day sparkline and a change chip
- Routing mix (flood vs direct), a hop-distance chart, and the role mix
- Path encoding: multibyte share among contacts and among incoming packets, plus a 30-day multibyte adoption trend
- Busiest repeaters, and one-hop neighbours (24-hour or 7-day window)
The live packet feed lives on the Real-time page rather than here; the dashboard reads a single snapshot per poll and holds no streaming subscriptions.
Two measurement notes for the mesh charts:
Hops are derived, and the two path tables disagree on units.
observed_paths.path_length is a byte count, so hops are
path_length / bytes_per_hop — with 2- or 3-byte encoding a three-hop path is
six or nine bytes long, and charting the raw value would overstate distance two-
to threefold on a mesh that is ~95% multibyte. packet_stream.path_len, by
contrast, is already a hop count, with its byte length carried separately as
path_byte_length. Applying either table's rule to the other silently rescales
the axis, so both conventions are pinned by tests.
The hops chart shows both distributions: nodes by their closest advert path (7
days) and arriving flood packets by distance travelled (whatever
packet_stream retains, typically 3 days). One counts nodes and the other
packets, so each is drawn as a share of its own total. Flood packets carry no
sender identity, which is why they cannot be reduced to a shortest path per
node the way adverts can.
Flood hop buckets holding under 0.1% of the series are omitted, because that tail decays over roughly twenty hops in bars thinner than a pixel. The number of packets withheld is printed beneath the chart, and percentages stay shares of the full series so that hiding the tail cannot inflate the remaining bars. The node series is shown in full.
Neighbour signal is reported only where two sources agree.
complete_contact_tracking.hop_count is not a reliable direct-neighbour marker:
on a representative database it claims 800 zero-hop contacts while only 68 have
any one-hop path to corroborate it, and the SNR stored against them clusters in
a ~1.5 dB band with RSSI near -45 dBm — one strong local link recorded against
every node whose traffic arrived through it. Neighbour membership therefore
comes from path evidence, and SNR/RSSI appear only when the stored hop count
agrees; otherwise the row reads "no signal reading". A relayed packet's SNR
measures the last hop into this radio, never the link to whoever sent it.
- Bot: messages, commands, reply rate, and unique users, plus the top commands/users/channels and longest paths
- Live activity feed
The dashboard is served from a snapshot, not from live aggregation. A
background thread in the viewer process recomputes it every
dashboard_snapshot_interval_seconds (default 60) and writes two tables:
| Table | Contents |
|---|---|
daily_rollup |
One row per local date. Retains counts whose raw sources are pruned long before the dashboard's 30-day window. Signal metrics are stored as sums and counts, never means, so any window re-aggregates correctly. |
dashboard_snapshot |
A single JSON row describing current state. |
Two consequences worth knowing:
- Gaps are not zeros. A day with no source data stores NULL and renders as a break in the line. Days seeded when the feature was first enabled have real advert counts but no message, command, path, or packet figures — those raw rows were already pruned and cannot be recovered.
- Window labels come from retention. The time-window selectors are built from each source's configured retention, so the list cannot offer "30 days" against a table pruned at 7.
The multibyte share trend is accumulated forward, not derived. observed_paths
is deduplicated with a lifetime observation_count and a last_seen that is
bumped on every re-observation, so historical per-day shares cannot be
reconstructed from it — nearly half the observation volume would be attributed
to the wrong day. Each refresh recomputes today plus a three-day trailing
window; older days stay frozen at the value recorded then.
Repeater Contacts
- Active repeater contacts
- Location information (city/coordinates)
- Device types and status
- First/last seen timestamps
- Purge count tracking
Contact Tracking
- Complete history of all heard contacts
- Signal strength indicators
- Hop count and routing information
- Advertisement data
- Currently tracked status
Config
- Categorized configuration topics in a left navigation column
- Core settings such as notifications, log rotation, backup, and maintenance status
- Database operations and database information views in the same tab
Radio
- Radio connect/disconnect and channel management (create, inspect, delete)
- Radio Parameters: read/write frequency, bandwidth, spreading factor, coding rate, and TX power on the device
- Node Settings: read/write companion firmware settings on the device
- Response Path Hashing: the path hash size the firmware uses for each hop when building outgoing/response paths (mode 0–2 = 1–3 bytes per hop; larger hashes avoid relay collisions but need firmware 1.14+ mesh-wide)
- Identity & Adverts: node name, advertised latitude/longitude, advert
location policy, and buttons to send a zero-hop or flood advert. The name
field is locked when the bot manages it (
[Bot] bot_namewithauto_update_device_nameon) - Mesh Behavior: extra ACK count and telemetry permissions
(base/location/environment, each deny / per-contact flags / allow all).
New-contact handling is shown read-only — it is owned by
[Bot] auto_manage_contactsin config.ini, which the bot applies to the device itself - Advanced Tuning: RX delay base and airtime factor (write-only; the device does not report current values)
- Device writes are queued through the bot process (
channel_operationstable), so the bot must be running and connected to the radio for reads/writes to complete
Purging Log
- Audit trail of contact purging operations
- Timestamps and reasons
- Contact names and public keys
API Endpoints
The viewer also provides JSON API endpoints:
GET /api/dashboard/summary- Snapshot-backed dashboard payload, including 30-day sparkline series and change figures. Sends a strongETag; poll withIf-None-Matchto get a bodyless304while the snapshot is unchanged.GET /api/dashboard/series?metric=<m>&days=<n>- Full-history points for one metric.metricis one ofmessages,commands,adverts,nodes,new_nodes,packets,multibyte_share.GET /api/dashboard/top?kind=<k>&window=<w>&limit=<n>- One leaderboard.kindis one ofusers,commands,channels,paths,repeaters. The response carrieswindow_label,retention_days, andtruncated_by_retention.GET /api/dashboard/windows- Selector options derived from each source's retention.POST /api/dashboard/refresh- Force a snapshot recomputation.GET /api/stats- Deprecated. The whole-database statistics payload the dashboard used to call five times per page load. Every key name is preserved for external consumers, and the response carriesDeprecationandSunsetheaders. Use the/api/dashboard/*endpoints instead; this one is removed at the next major version.GET /api/contacts- Repeater contacts data. The contacts page uses optionalpage,page_size(maximum 200),search,sort, anddirectionparameters; callers that omit pagination retain the legacy full-list response.GET /api/tracking- Contact tracking data
Example usage:
curl http://localhost:5000/api/dashboard/summary
Database Requirements
The viewer uses the same database as the bot by default ([Bot] db_path, typically meshcore_bot.db). That single file holds repeater contacts, mesh graph, packet stream, and other data so the viewer can show everything.
Dashboard stats (message/command counts, top users, etc.) come from the stats tables (message_stats, command_stats, path_stats). Stats collection is enabled by default with [Stats_Command] collect_stats = true, even if the user-facing stats chat command is disabled with enabled = false. Set collect_stats = false only if you want to stop writing those dashboard stats tables.
Migrating from a separate web viewer database
If you previously had the web viewer using a separate database (e.g. [Web_Viewer] db_path = bot_data.db), you can switch to the shared database so the viewer shows repeater/graph data and uses one file.
-
Stop the bot and web viewer so neither has the databases open.
-
Optionally preserve packet stream history from the old viewer DB into the main DB:
- From the project root, run:
Use your actual paths if they differ (e.g. full paths or different filenames). The script copies the
python3 migrate_webviewer_db.py bot_data.db meshcore_bot.dbpacket_streamtable from the first file into the second and skips rows that would duplicate IDs. - If you don’t care about old packet stream data, skip this step; the viewer will create a new
packet_streamtable in the main DB.
- From the project root, run:
-
Point the viewer at the main database in
config.ini:[Web_Viewer] db_path = meshcore_bot.db(Or the same value as
[Bot] db_pathif you use a different path.) -
Start the bot (and viewer as usual). The viewer will now read and write to the same database as the bot.
You can keep or remove the old bot_data.db file after verifying the viewer works with the shared DB.
Troubleshooting
Web viewer not accessible (e.g. Orange Pi / SBC)
If the viewer does not load from another device (e.g. from your phone or PC while the bot runs on an Orange Pi), work through these steps on the Pi.
-
Confirm config
- In
config.iniunder[Web_Viewer]:enabled = trueauto_start = true(if you want it to start with the bot)host = 0.0.0.0(required for access from other devices;127.0.0.1is localhost only)port = 8080(or another port 1024–65535)
- Restart the bot after changing config.
- In
-
Check that the viewer process is running
# From project root on the Pi ss -tlnp | grep 8080 # or netstat -tlnp | grep 8080If nothing listens on your port, the viewer did not start or has exited.
-
Inspect viewer logs
- When run by the bot, the viewer writes to:
logs/web_viewer_stdout.loglogs/web_viewer_stderr.log
- Look for Python tracebacks, "Address already in use", or missing dependencies (e.g. Flask, flask-socketio).
- Optional: run the viewer manually to see errors in the terminal:
cd /path/to/meshcore-bot python3 modules/web_viewer/app.py --config config.ini --host 0.0.0.0 --port 8080
- When run by the bot, the viewer writes to:
-
Check integration startup
- Bot logs may show:
Web viewer integration failed: ...orWeb viewer integration initialized. - If integration failed, the viewer subprocess is never started; fix the error shown (e.g. invalid
hostorportin config).
- Bot logs may show:
-
Firewall
- Many SBC images (e.g. Orange Pi, Armbian minimal) do not ship with a firewall; if
curlto localhost works andhost = 0.0.0.0, the blocker may be network (Wi‑Fi client isolation, different subnet, or router). Check from a device on the same LAN usinghttp://<PI_IP>:8080. - If your system uses ufw:
sudo ufw status sudo ufw allow 8080/tcp sudo ufw reload - If
ufwis not installed (e.g.sudo: ufw: command not found), you may have no host firewall—that’s common on embedded images. To allow the port with iptables (often available when ufw is not):(Rules may not persist across reboots unless you use a persistence method for your distro.)sudo iptables -I INPUT -p tcp --dport 8080 -j ACCEPT - If you prefer ufw, install it (e.g.
sudo apt install ufw) and use the ufw commands above.
- Many SBC images (e.g. Orange Pi, Armbian minimal) do not ship with a firewall; if
-
Test from the Pi first
curl -s -o /dev/null -w "%{http_code}" http://127.0.0.1:8080/If this returns
200, the viewer is running and the issue is binding or firewall. If you usehost = 0.0.0.0, then try from another device:http://<PI_IP>:8080. -
Standalone run (no bot)
- To rule out bot integration issues, start the viewer by itself (same config path so it finds the DB):
python3 modules/web_viewer/app.py --config config.ini --host 0.0.0.0 --port 8080 - If
restart_viewer.shis used, note it binds to127.0.0.1by default; for network access run the command above with--host 0.0.0.0or edit the script.
- To rule out bot integration issues, start the viewer by itself (same config path so it finds the DB):
Flask Not Found
pip3 install flask flask-socketio
Database Not Found
- Ensure the bot has been run at least once to create the databases
- Check file permissions on database files
Port Already in Use
- Change the port in
config.inior stop the conflicting service - Use
ss -tlnp | grep 8080orlsof -i :8080(if available) to find what's using the port
Permission Denied
chmod +x restart_viewer.sh
Security Notes
- The web viewer is designed for local network use
- Set
host = 127.0.0.1for localhost-only access - Set
host = 0.0.0.0for network access (use with caution) - For network access, set
web_viewer_passwordor use a reverse proxy with authentication and firewall rules
Future Enhancements
- Live packet streaming
- Real-time message monitoring
- Interactive contact management
- Export functionality
- Additional authentication options
- Mobile-responsive design improvements